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Presented by, Timo Klingenmeier, General Manager, inmation GmbH & Co. KG Industry 4.0 and the Internet of Things translate to new opportunities and new challenges for manufacturing corporations. The informed workforce requires access to vast amounts of data. Handling floods of data from the production floor across the organisation and in exchange with selected business partners is not a simple task, but when achieved it turns into a major competitive advantage. MongoDB’s strategic partner inmation has developed a middleware solution which combines intelligent industrial real-time connectivity with unlimited scalability and one uniform storage layer for all kinds of data structures – MongoDB.
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IoT City Tour
Presentation
Realtime Data – The Source ofCorporate Intelligence and Agility
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1. Some thoughts on Industry 4.0
2. Internet of Things vs. Industrial Control (and
practices)
3. The OPC specification in brief
4. Short round-trip through „Industrial Data“
5. Benefits of MongoDB being an universal data store
30 Minutes to Cover
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The Problem
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“Classic” Industry
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3.xIndustry
MaterialFlows
Source: https://chemicalparks.eu/system/files/attachments/file/14/European_Pipeline_Infrastructure__Networks.pdf
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Goal is the
“Smart Factory”
Further Computerization of
Traditional Industries The Internet of Things
Is Technological Foundation
Industry
4.0Drivers
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4.0Industry
Effects
End of Data Boundaries
for Individual Factories
Data Interconnectability
Between Sites Without
Geographical Restrictions
Enourmous Growth
of Production and
Supplier Networks
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The Internet of Things
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Our Scope
Realtime Data
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system:inmation
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SQL
Text/XML
NoSQL/Schema-flexible/BSON
OPC
Common Data Sources
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1996 20131998 2001 2003 2006 2007 2009
OPC Data Access (DA) specification established
OPC Alarms and Events (A&E) specification established
OPC Historical Data Access (HDA) specification established
OPC Unified Architecture (UA) created
OPC UA 1.0 becomes available
First products based on OPC UA
OPC UA 1.01 becomes available
OPC UA 1.02 becomes available
OPC: OLE for Process Control
Source: www.opcfoundation.org
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Teach yourself…
…and visitwww.opcfoundation.org
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Source: www.intel.com
OPC?
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Source: www.arduino.cc
OPC!
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Source: http://www.ccj-online.com/ovation-upgrade-7fa/
Always OPC!
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Advantages
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Simplification
Advantages
No schema pre-definition
Few (sufficient) datatypes
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Data Types:Oracle, PL/SQL
Source: www.techonthenet.com/oracle/datatypes.php
Advantages
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Data Types:SQL Server
Source: www.connectionstrings.com/sql-server-data-types-reference
Advantages
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Data Types:OPC UA
Advantages
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Advantages
Data Types:
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Data Type Flexibility
Advantages
“Intrinsic” variants
“Intrinsic” arrays
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Sample Storage: Each (sub-second accurate)
measurement is stored as a “Micro-Document”
oObjectId points into another collection which stores the context information for this item (e.g. measurement).
cThis is the distinct counter relative to the value updates which were received from the external data source.
vA value submitted by an external (OPC) server, in whatever format. qThe external quality (bit mask).
tThe original timestamp taken from the external server.hThe timestamp of the historization process (and machine).
Advantages
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Sample Storage: Different data types can be stored in the same
“value” field:Advantages
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SummaryMongoDB is the perfect fit for Industrial Big Data
• It has the performance and the scalability options required to store hi-freq data in huge amounts
• Timestamp accuracy is sufficient
• Schema (-less) flexibility fits the variant data structures, originated in (OPC) source systems
• BSON is not only about storage, but also transport
• Unbeatable value offer (both software and hardware utilization)
• It exposes ‘natural’ data structures which simplify any kind of further analysis
• Choose between private and public cloud storage
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Thank You.
