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To view On-Demand visit: http://ecast.opensystemsmedia.com/319 To learn more about RTI Connext visit: http://www.rti.com/products/index.html Extending OPC-UA through Architecture Flexibility, Performance, and Scalability Builders of large-scale industrial automation systems must focus on several key system design requirements in order to implement robust distributed systems – Architecture, Interoperability, Scalability, and Performance. OPC-UA provides a solution for addressing Interoperability for heterogeneous distributed systems from the network edge to the business enterprise. The standards-based RTI Connext product line extends the capabilities of OPC-UA, and other industrial automation standards, to address flexible system architectures and performance at scale. The RTI DataBus is a data super highway or data backbone for your distributed systems to provide architecture flexibility (publish/subscribe, client/server, request/reply patterns as well as flat, hierarchical, federated topologies) and performance at scale (microsecond latencies, millions of messages/sec with 10M+ individual data points). Learn how to design and implement next-generation industrial automation systems with RTI. Speaker: Dave Scheibenhoffer, Director of Market Development Dave Scheibenhoffer is responsible for orchestrating advanced solutions to customer requirements and for identifying and addressing emerging trends in distributed systems within commercial market segments. Dave has over 25 years of engineering, business development, and sales experience in the data acquisition and embedded systems industries at industry leaders including National Instruments, Wind River, and Texas Instruments.
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Your systems. Working as one.
Extending OPC-UA through Architecture Flexibility, Performance, and Scalability
Building Large, Disparate Systems
Dave ScheibenhofferReal-Time Innovations
Industry Checkpoint
Collaboration
Business Centric DecadeShift from enabling technology
to using
Available and proven Technologyto improve Business Performance
Operational Efficiency
• Business Goals– Return on Assets– Continuous Improvement– Flawless Execution– Automate– Total Cost of Ownership– Common Infrastructure– Barriers to Information
• Business Benefits– Operational Effectiveness– Asset Utilization– Minimize Variable Costs– Reduce Downtime– Preserve Capital Assets
Business Centric
System Requirements
• Collaborative Automation Systems– Guiding Principles
• Extensible• Common Data Model• Adaptable through Configuration• Single Version of the Truth• Interoperable• Standards Adoption• Multi-supplier Support• Security and Reliability• Actionable Context Support• Knowledge Workplace Support
Problem Statement
The Systems Engineering Challenge
• Systems – Built from components
• System of Systems – Convergence of disparate systems
• Small Systems– Integration is challenging
• Large Systems– Integration costs dominate
Inte
grati
on (
time
& c
ost)
System Scale
Must ease integration complexity
Four Key Factors in Distributing Data
• Number of Devices– Ever expanding and many disparate types
• Volume of Information– Only send pertinent data
• Density of Pipe– Limited bandwidth which must be used wisely
• Timeliness– Making data available when it is needed
Need for Scalability, Reliability, Performance
Industrial Automation(Continuous / Hybrid / Discrete)
Historical View
DCS/PLC
SCADA
MES
ERP
DAQ &Control HMIAlarms Historian
DatabaseSupervisory
DisplaySchedule/Dispatch
Simulation/Analysis
CRM HRMFRM PLM DatabaseSCM
I/O
Fieldbus
Redundant LAN
DCS PAC PLC
ElectricIEC-61850IEC-104DNP3C37.118
EnterpriseLIMWMSCCM
ExamplesEthernet I/PEtherCATPROFINET Modbus TCP
MobileDevices
0-D
evic
e /
1-C
ontr
olEm
bedd
ed R
TOS
2-Su
perv
isor
yW
indo
ws
3-Ex
ecuti
on4-
Busi
ness
B2M
ML
ISA
-95
ISA
-88
OPC
OPC
COLLABORATION
System of SystemsT
imel
ines
s of
Res
pons
e
SCADA/DCS
MES/SCADA
ERP
10μ
s–10
ms
10m
s–1s
> 1
s
Combination of Both
Workflow-Driven Services•IT systems respond to human intention on demand
•Focus on access to stored data•Consistency is mission-critical
Event-Driven Services•Detect change and respond automatically•Focus on processing data as it changes•Availability is mission-critical
© 2012 RTI • COMPANY CONFIDENTIAL 12
Modern View
InformationTechnology
Systems(IT)
OperationalTechnology
Systems(OT)
Business Message Bus
CRM HRMFRM PLM DatabaseSCM
Automation Network
SCADAMES
PAC PLCDCS
COLLABORATION
OPC-UA
• Addressing Interoperability via– Layered Architecture
• Information Model (PIM)• Services• Mappings (PSM)
Base Information Models
Standard Information Models
Mappings
Services
Meta Model
Network
OPC-UA Architecture
HMIHMI
Modern View with OPC-UA
I/O
Fieldbus
PAC PLC
TCP/IP
HMI
TCP
DAQ & ControlServer
AlarmServer Historian
MESServer
MESServer
Web Services
UA Client UA Client UA ClientUA Client UA Server
UA Client/Server
ERP
UA Server
DCS
BridgeGatewayAdapter
BridgeGatewayAdapter
UA Server
HMI
UA Client
UA Server
INTEROPERABILITY
HMIHMI
More Typical…
I/O
Fieldbus
PAC PLC
TCP/IP
HMI
TCP
DAQ & ControlServer
AlarmServer Historian
MESServer
MESServer
Web Services
UA Client UA Client OPC-HDACustom
JMS
ERP
Modbus TCP
DCS
BridgeGatewayAdapter
BridgeGatewayAdapter
HMI
HTML5
UA Server
OPC-DA
UA Client
Application SpecificDevices
Simulation R&D
More is Needed
Disparate System Requirements
• Large-Scale Heterogeneous Systems
– Architecture– Interoperability– Performance– Scalability
Collaborative Automation Systems
Architecture & Interoperability
Architecture & Interoperability
Point-to-Point Client/Server Publish/Subscribe
BrokeredESB
Daemon
Pub/Sub Messaging
Data-CentricPublish/Subscribe (DCPS)
Data-Centric
Architecture & Interoperability
• Design Patterns– Point-to-Point– Client/Server
• Request/Reply• Command/Response
– Publish/Subscribe• One-to-Many• Many-to-One
– Combination
• Topologies– Flat– Hierarchical– Federated– Combination
Need Choices – Not One Size Fits All
Performance & Scalability
Performance & Scalability
• Performance– Latency– Throughput– Bandwidth Management– Quality of Service
• Scalability– Number of devices– Number of applications– Disparate systems
Performance at Scale
Flexibility
Flexibility
Real-Time Automation Message Bus
Capabilities
• Peer-to-Peer• Discovery• Transparency • Reliability
Performance
• usec Latency• 1M+ msg/sec• UDP w/ Multicast• QoS
Services
• Record/Playback• Persistence• System Monitor• Distributed Logging
Flexibility – OneBus
I/O
Fieldbus
PAC PLCApplication Specific
Devices
Real-Time Automation Message Bus
MESServer
UA Client
MESServer
UA Server
Simulation
DAQ & ControlServer
AlarmServer Historian
UA Client/Server UA Client UA Client
UA ServerUA Client
Business Message Bus
CRM HRMFRM PLM DatabaseSCM
HMI
UA Client
Flexibility – Disparate
I/O
Fieldbus
PLC
DAQ & ControlServer
AlarmServer Historian
UA Server
HMIMESServer
UA Client
PAC
UA Client
Application SpecificDevices
Simulation
UA Client/Server
MESServer
UA Server
UA Client/Server
Business Message Bus
CRM HRMFRM PLM DatabaseSCM
JMS / Web Service / Etc.
Real-Time Automation Message Bus
Performance at Scale
RTI – Real-Time Automation Bus
RTI Connext – Common Data Infrastructure
Traditional ESB
Process Automation Systems
HMI Control I/O
Plant Business Operations
Information Technology (IT)
Operational Technology (OT)
Production Management
MobileDevices
Data/Conf ig Alarms
Co
nvergence
Integratio
n
Dynamic Discovery
Peer-to-Peer
Publish/Subscribe
Global Data Access
Quality of Service
ToolsSOA Architecture Reliable Multicast
Full Redundancy
Alig
nment
Gartner
Making Data Available to meet your Business Objectives
Your systems. Working as one.DownloadConnextFree TrialNOW
www.rti.com/downloads
Thank You
www.rti.com
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