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Citation preview
Hannover FairJing Deng
26th April ndash 28th April 2017
About Hannover messe 2017
Content
bull Digital manufacturing
bull Predictive Maintenance
bull Robot
bull Something interesting
Digital manufacturing
Industry 40
Networks
ldquoEnergy Management 40rdquo
ldquoPredictive Maintenance 40rdquo
Digital manufacturing ndash short summary
bull Many big companies such as ABB GE and Siemens have developed their own eco system to connect physical manufacturing to internet and they call this digital twin They provide both hardware and cloud platform (PaaS) and focus on industrial applications with the capability to turn big data into insights and actions
bull Their platforms are claimed to be open so equipment from Siemens can be integrated into GErsquos platform
bull They differ themselves to other IoT platforms such as Amazon IoT IBM WastonIoT Microsoft Azure and Cumulocity
bull Predictive maintenance is a large area due to IIoT it has the same attractions as energy efficiency
GE
Predix is the operating system for the Industrial Internet it connects industrial equipment analyse data and deliver real-time insights
ABB
It connects customers to the power of the industrial internet of things and turns data insights into direct actions that closes the loop and generates customer value in the physical world
SiemensIt lets you connect your machines and physical infrastructure to the digital world and provides powerful industrial apps and digital services that can unleash more productivity and efficiency across your entire business MindSphere lets you reduce downtime increase output and use assets more effectively
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
About Hannover messe 2017
Content
bull Digital manufacturing
bull Predictive Maintenance
bull Robot
bull Something interesting
Digital manufacturing
Industry 40
Networks
ldquoEnergy Management 40rdquo
ldquoPredictive Maintenance 40rdquo
Digital manufacturing ndash short summary
bull Many big companies such as ABB GE and Siemens have developed their own eco system to connect physical manufacturing to internet and they call this digital twin They provide both hardware and cloud platform (PaaS) and focus on industrial applications with the capability to turn big data into insights and actions
bull Their platforms are claimed to be open so equipment from Siemens can be integrated into GErsquos platform
bull They differ themselves to other IoT platforms such as Amazon IoT IBM WastonIoT Microsoft Azure and Cumulocity
bull Predictive maintenance is a large area due to IIoT it has the same attractions as energy efficiency
GE
Predix is the operating system for the Industrial Internet it connects industrial equipment analyse data and deliver real-time insights
ABB
It connects customers to the power of the industrial internet of things and turns data insights into direct actions that closes the loop and generates customer value in the physical world
SiemensIt lets you connect your machines and physical infrastructure to the digital world and provides powerful industrial apps and digital services that can unleash more productivity and efficiency across your entire business MindSphere lets you reduce downtime increase output and use assets more effectively
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Content
bull Digital manufacturing
bull Predictive Maintenance
bull Robot
bull Something interesting
Digital manufacturing
Industry 40
Networks
ldquoEnergy Management 40rdquo
ldquoPredictive Maintenance 40rdquo
Digital manufacturing ndash short summary
bull Many big companies such as ABB GE and Siemens have developed their own eco system to connect physical manufacturing to internet and they call this digital twin They provide both hardware and cloud platform (PaaS) and focus on industrial applications with the capability to turn big data into insights and actions
bull Their platforms are claimed to be open so equipment from Siemens can be integrated into GErsquos platform
bull They differ themselves to other IoT platforms such as Amazon IoT IBM WastonIoT Microsoft Azure and Cumulocity
bull Predictive maintenance is a large area due to IIoT it has the same attractions as energy efficiency
GE
Predix is the operating system for the Industrial Internet it connects industrial equipment analyse data and deliver real-time insights
ABB
It connects customers to the power of the industrial internet of things and turns data insights into direct actions that closes the loop and generates customer value in the physical world
SiemensIt lets you connect your machines and physical infrastructure to the digital world and provides powerful industrial apps and digital services that can unleash more productivity and efficiency across your entire business MindSphere lets you reduce downtime increase output and use assets more effectively
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Digital manufacturing
Industry 40
Networks
ldquoEnergy Management 40rdquo
ldquoPredictive Maintenance 40rdquo
Digital manufacturing ndash short summary
bull Many big companies such as ABB GE and Siemens have developed their own eco system to connect physical manufacturing to internet and they call this digital twin They provide both hardware and cloud platform (PaaS) and focus on industrial applications with the capability to turn big data into insights and actions
bull Their platforms are claimed to be open so equipment from Siemens can be integrated into GErsquos platform
bull They differ themselves to other IoT platforms such as Amazon IoT IBM WastonIoT Microsoft Azure and Cumulocity
bull Predictive maintenance is a large area due to IIoT it has the same attractions as energy efficiency
GE
Predix is the operating system for the Industrial Internet it connects industrial equipment analyse data and deliver real-time insights
ABB
It connects customers to the power of the industrial internet of things and turns data insights into direct actions that closes the loop and generates customer value in the physical world
SiemensIt lets you connect your machines and physical infrastructure to the digital world and provides powerful industrial apps and digital services that can unleash more productivity and efficiency across your entire business MindSphere lets you reduce downtime increase output and use assets more effectively
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Digital manufacturing ndash short summary
bull Many big companies such as ABB GE and Siemens have developed their own eco system to connect physical manufacturing to internet and they call this digital twin They provide both hardware and cloud platform (PaaS) and focus on industrial applications with the capability to turn big data into insights and actions
bull Their platforms are claimed to be open so equipment from Siemens can be integrated into GErsquos platform
bull They differ themselves to other IoT platforms such as Amazon IoT IBM WastonIoT Microsoft Azure and Cumulocity
bull Predictive maintenance is a large area due to IIoT it has the same attractions as energy efficiency
GE
Predix is the operating system for the Industrial Internet it connects industrial equipment analyse data and deliver real-time insights
ABB
It connects customers to the power of the industrial internet of things and turns data insights into direct actions that closes the loop and generates customer value in the physical world
SiemensIt lets you connect your machines and physical infrastructure to the digital world and provides powerful industrial apps and digital services that can unleash more productivity and efficiency across your entire business MindSphere lets you reduce downtime increase output and use assets more effectively
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
GE
Predix is the operating system for the Industrial Internet it connects industrial equipment analyse data and deliver real-time insights
ABB
It connects customers to the power of the industrial internet of things and turns data insights into direct actions that closes the loop and generates customer value in the physical world
SiemensIt lets you connect your machines and physical infrastructure to the digital world and provides powerful industrial apps and digital services that can unleash more productivity and efficiency across your entire business MindSphere lets you reduce downtime increase output and use assets more effectively
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
ABB
It connects customers to the power of the industrial internet of things and turns data insights into direct actions that closes the loop and generates customer value in the physical world
SiemensIt lets you connect your machines and physical infrastructure to the digital world and provides powerful industrial apps and digital services that can unleash more productivity and efficiency across your entire business MindSphere lets you reduce downtime increase output and use assets more effectively
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
SiemensIt lets you connect your machines and physical infrastructure to the digital world and provides powerful industrial apps and digital services that can unleash more productivity and efficiency across your entire business MindSphere lets you reduce downtime increase output and use assets more effectively
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
IBM
Utilizing the power of cognitive capabilities IoT for manufacturing can help harness and mine this influx of informationmdashmaking your business more cognitive through effective processing analysis and operational optimization
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Hitachi
Internet of Things Core Platform Providing an Open and Adaptable Software Architecture
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Bosch
An open IoT platform that can be installed on premise or in the cloud
Bosch software innovation is a very popular platform for device management
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Cumulocity
Cumulocity is the leading independent Device and Application Management Internet
of Things (IoT) Platform since 2010 Their Internet of Things Platform connects and
manages machines effortlessly so customers can focus on their businessrsquos value
adding activities
httpswwwcumulocitycom
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Thingworx
httpswwwthingworxcom
Another popular platform focuses on industrial IoT applications including data analytics
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Jasper
Cisco Jasper Control Center is the IoT cloud platform
that enables you to manage connectivity for all your IoT devices
httpswwwjaspercom
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Xively
A solution to quickly build IoT applications
httpswwwxivelycom
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Other IoT platforms
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Predictive maintenance
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
The eurodata-Group develops and markets cloud-based software solutions for small and medium-sized businesses and tax advisors as well as software products for retail solutions and implementing Industry 40 solutions
Predictive Maintenance System is one of their packages in its solution and is achieved through the following 4 steps They highlighted the of roles between machine supplier and filed operators both play an important role in predictive maintenance IBM SPSS is also used in their business
1 Device monitoring2 Anomaly detection3 Error prediction4 Plant management
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
ABB Abilitytrade Smart Sensor picks up data on vibration
temperature and other parameters and uses it to reduce motor
downtime by up to 70 percent extend lifetime by as much as 30
percent and lower energy use by up to 10 percent
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
IBM
KONE Implements Predictive Maintenance with IBM Watson IoT
The elevators publish real-time information to Watson and Watson replies with health and status information about elevators
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
through remote diagnosis predictive
maintenance and avoidance of critical
states their compressor can achieve
maximum availabilities
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Proactive Maintenance = PM + PdM
Current technologies can support PdM in the following processes
1 Vibration analysis2 Infrared sensing3 Lubrication sampling4 Power Quality Analysis5 Motor winding test
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
They are originally a hardware company but now touch a lot on software side the
demonstrated how machine learning reduces the boundary to detect abnormal situations thus
for PdM Their PdM platform can be on the cloud on premise or machine (industrial PC)
They sell PdM per licencemachine
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
BOGE AnalyticsbullRemote Monitoring
bullPerformance Report
bullContinuous Improvement Programme
bullPredictive Maintenance
They are compressor manufacturer One special thing is
that they sell compressed air instead of compressors
They use IoT platform to monitor usage in real-time and
automatically adjust compressors to balance the
generation and usage Lots of sensors are installed on
their compressors to predict faults and for PdM Another
key Tech is the M2M communciation to achieve above
mentioned objectives Connect to cloud through OPC UA
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
KMT together with symmedia have developed a visualization which gives the user of a watercuttingsystem an overview of the current status of wear parts and when an exchange is due to retain the maximum producitvity
Also KMT receives this data from the opertor and can proactively provide respective maintenance and parts offers to the customers In doing so KMT goes a siginificant step into the direction of smart Services Industry 40 and Predicitive Maintenance
They talked about machine supper as remote
maintenance manager and customer as local
maintenance manager They provide a highway
for data transmission
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Predictive maintenance is achieved through NTN wind doctor
Magnetic sensors are installed to provide PdM for their bearings
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Left picture shows the monitoring of shock absorber functions and cylinder speeds based on an electro-pneumatic valve system
The existing sensors in the system are monitored along with the control The data is analyzed with the AVAES series valve systems and the Smart Pneumatics Monitor an additional module for the AES valve electronics Monitoring the load allows the system to determine the current state of the shock absorber and detect wear early on The information is then provided to the user in standardized data logs such as the OPC-UAThe company Boge will also demonstrate how intelligent pneumatics can ensure efficient system operation at its stand Using existing sensors Aventics provides the compressor manufacturer with information on the current state of its systems and their air consumption in the standard OPC-UA data format This allows Boge to optimize the entire compressed air mains of a system and to operate it more efficiently
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Capgemini monitors motor power consumption and use this information to detect motor fault
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Robot
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Cobots
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
loading and unloading
with mobile robots
Mobile robots
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Titan the robot(not in this hannover fair)
Hitachi EMIEW3 SoftBank Pepper Baxter
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Something interesting
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Ingpuls GmbH Smart material based on
shape memory alloys
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
Augmented reality (AR)
Smart Helmet DAQRI Smart Glasses
