To view on-demand webcast: http://www.embedded-know-how.com/tools-a-software-main/article/44-tools-software/1192-leveraging-continuous-real-time-automation-data-as-a-business-asset.html Achieving true real-time collaboration between the IT business systems back end and the plant control front end is just not happening – yet. Those that have tried have hit a real-time wall. The competitive business benefits for those that break through this wall include fixed and variable asset cost minimization, predictive maintenance capabilities, and empowerment of operational staff with up-to-date business objectives and business IT staff with timely asset performance metrics. But, when you connect the two disparate systems, the operational plant managers suspect the IT systems will undermine their plant reliability, and the IT managers knows that the data deluge from the operational side will swamp their network. What if you could adopt an integrated infrastructure that guarantees no single point of failure for the operational systems? What if your DCS or PLC data could be made immediately available to your Business Intelligence IT systems at a rate they can deal with?

1. Your systems. Working as one.
How Top Plant Managers Avoid
Real-Time Chaos
Webinar – June 14th 2012
Geoff Revill
Real-Time Innovations

2. Agenda
• Brief Company Intro
• IT and Control Systems Collaboration –
Benefits sought
• What’s blocking access to these business
benefits? - The RT Wall
• How to use the RT Wall as a foundational SoS
Element
• The Solution – A Real-Time ESB
• Summary

3. About RTI
• Market Leader
– fast, scalable communications software for real-time
operational systems and IT & Business Systems
Systems Integration
• Pedigree
– 20 year+ history in
• High-performance highly scalable networking &
control
• Middleware & Tools
• Standards Leader
– OMG Board of Directors
– Market leader in DDS (Data Distribution Service)
• Maturity Leader
– 15+ years of commercial availability
– U.S. DoD Technology Readiness Level (TRL) 9

4. ROI Example – JBC-P – Blue Force Tracker
Legacy design: DDS design:
• Custom, proprietary • 100% standards based
• 2-8 years to develop • Proof of concept in under a week
• 1.5m lines of source code • 50k lines of source code
• 12,000 tracks • 250,000 tracks
• 11 servers w/88 cores • 80% of a single core
• Poor reliability and uptime • Full redundancy
7/23/2012

5. IT & Operational Collaboration
Business Centric Decade
Shift from enabling technology
to using
Available and proven Technology
to improve Business Performance
through
Operational Efficiency

6. Business Centric
• Business Goals • Business Benefits
– Return on Assets – Operational Effectiveness
– Continuous Improvement – Asset Utilization
– Flawless Execution – Minimize Variable Costs
– Increased Automation – Reduce Downtime
– Total Cost of Ownership – Preserve Capital Assets
– Increased Commonality of
Infrastructure
– Reduce Barriers to
Information

7. The Highest Barrier to Information?
TIME

8. Collaborative Production Management
• To be delivered by Collaborative Process
Automation Systems (CPAS)
– Single, unified environment for the presentation
of information to the operator as well as present
information in context to the right people at the
right time from any point within the system
– ARC Advisory Group

9. CPAS
• As defined by ARC Advisory Group
– extraordinary performance
– continuous improvement
– proactive execution
– common actionable context
– single version of the truth
– automate everything that should be automated
– facilitate knowledge workers
– common infrastructure based on standards

10. The shift to CPAS

11. Example: Predictive Maintenance
• Is it solely an Operational Control issue?
– What about the changing trade off between risk
of an asset failing versus cost of maintenance?
– What about the changing nature of customer
supply demands versus maintenance schedules?
– How do your business systems get informed
immediately of the consequence of an operational
asset failure?

12. Different Realities
Operational Systems IT Systems
Architecture Decentralized (peer to peer) Centralized data center (hub
and spoke)
Speed “Real world” (physical processes) Human
Data flow Event-driven: sensors, alarms, Transactional, non real-time
commands. Extremely time critical.
Platforms Tiny embedded or mobile systems Powerful servers
through powerful servers
Lack integration power Lack performance
and scalability

13. OT and IT Developers think differently
• Peer-to-peer • Client-Server
• Events, alarms, sensor • Remote Method
readings, status updates Invocation
• Pub-sub pattern • Request-Reply pattern

14. The Real-Time Wall
Operational Systems IT Systems
Architecture Decentralized (peer to peer) Centralized data center (hub
and spoke)
R
Speed “Real world” (physical processes) Human
T
Data flow Event-driven: sensors, alarms, Transactional, non real-time
commands. Extremely time critical.
Platforms Tiny embedded or mobile systems W Powerful servers
through powerful servers
A
L
L
Lack integration power Lack performance
and scalability

15. Collaboration drives Scale!
• More things producing
and consuming data
• Greater volume of data
• System of systems
integration
• The Software
Architecture must
enable change in scale

16. How do we take down the RT Wall?
• What if….?
– Every application could dynamically define it’s real-
time requirements to the infrastructure?
– the infrastructure could sustain a quality of service
contract between every communicating entity?
– the infrastructure could act like a database and
represent system state in real-time?

17. Turn the RT Wall into a System SW
Foundation
Operational Systems IT Systems
Architecture Decentralized (peer to peer) Centralized data center (hub
and spoke)
Speed “Real world” (physical processes) Human
Data flow Event-driven: sensors, alarms, Transactional, non real-time
commands. Extremely time critical.
Platforms Tiny embedded or mobile systems Powerful servers
through powerful servers
Lack integration power Lack performance
scalability
R T E S B
F O U N D A T I O N

18. Using the RT Wall as a Foundational
Infrastructure
• IT systems should be able to react to critical
real-time Operational Control state changes
• OT systems should be able to continuously
deliver analyzable metrics for business use
• DATA is the Foundational Building Block
– IT systems architect around it with their DB’s
– OT systems architect around it for state changes
• Free Flow of Information is the Goal

19. Maintaining STATE across IT & OT
• System STATE is a function of DATA
• Each Application’s need to understand STATE is
different
– Only needs to know a small subset of system STATE
– Has differing requirements and authority for system
STATE change
• Any Application can contribute to system STATE
change
• System STATE is the “single version of the truth”

20. Where is system STATE Maintained?
• Where the DATA is
– IT in a Database
– Operational Control – its on the BUS
• But the ‘bus’ is also a means to access the DB
• For CPAS and Collaborative Systems
– Maintain State on the Bus in order to serve IT and
Operational Control systems
• STATE needs to be maintained on a DATABUS

21. Where is STATE Maintained?
Information Technology (IT)
Mobile
Devices Plant Business Operations
Gartner
Traditional ESB
Convergence
Alignment
Integration
RTI Connext –– SUSTAINSData Infrastructure
DATABUS Common SYSTEM STATE
Process Automation Systems
Production Management
HMI Data/Conf ig Control Alarms I/O
Operational Technology (OT)
SOA Architecture Peer-to-Peer Global Data Access Reliable Multicast Tools
Dynamic Discovery Publish/Subscribe Full Redundancy Quality of Service

22. The Need for App Defined QoS
• De-Couple Application Real-Time needs from
the infrastructure
– Infrastructure can independently evolve in line
with broader distributed systems requirements
• Create loose bindings between applications
– New Apps ‘discover’ the system’s ability to serve
it’s system state needs at run-time
• Connect to the DATABUS not to another
Application

23. Connext Foundation: the RTI DataBus™
• Data centric
– Structured, accessible data
– Like a database for moving
data
• Independent modules
– Supports SOA
– Supports RT Applications
• Plug and play flexibility
Data-Centric Messaging Bus – Like a hardware bus
• Peer-to-peer performance
– Like streaming protocols
• Standards-based
interoperability
– Like TCP/IP
Scalable, high performance, reliable infrastructure

24. RTI Connext™: A Next Generation Infrastructure
Discrete OT & IT
Small Device General-Purpose Apps/Systems
DDS Apps
Apps Real-Time Apps
Pub/Sub API Pub/Sub API Messaging API Adapters
Connext Connext Connext Connext
Micro DDS Messaging Integrator
RTI DataBus™
Administration Recording Federation
Monitoring Replay Transformation
Logging Visualization Persistence
Common Tools and Infrastructure Services

25. Example—Production System
Factory Floor ERP System
SCADA
Application
PLC PLC DDS API
Connector Connector Connector
Micro, linked in … Micro, linked in Linked in
process
process process
Connext Messaging
Web Service
Connector Connector
Standalone Standalone
deployment deployment
Connext Integrator

26. A Real-Time ESB for CPAS
“The benefits that come from managing
Information Technology (IT) and Operational
Technology (OT) convergence, alignment and
integration include optimized business
processes, enhanced information for better
decisions, reduced costs, lower risks and
shortened project timelines.”
• – Gartner

27. RTI started here – Naval C4I
• C4I
• Command
• Control
• Communications
• Computers
• Intelligence
• Fully data-centric design

28. RTI Connext Proven here…..
• RATP
• Transport control
systems
• WAN and LAN Integration
• Multiple Platform types
• PC Windows
• Linux
• Solaris
• Instrumentation
• Major Issue with Legacy
System integration

29. RTI Connext Used here…..
• The ATLANTIDA
consortium
• 34 collaborating
organisations
• Researching next
generation ATC
• Massive Scalability
Challenges
• Huge Collaboration
Challenges

30. RTI Powering Next Gen SCADA
• Siemens Windpower
• Challenges
– Increase sample to 100Hz
– Manage up to 500 turbines
• Existing infrastructure failed
– Failed to integrate IT/OT systems
– Could not deliver performance at
scale
• Benefits of control vs. monitoring
– Predictive & preventive maintenance
– Smart diagnostics – improve
availability and efficiency
– Production planning
– Continuous performance monitoring
and tuning of turbines
RTI Connext melds distributed performance
with IT business intelligence

31. 7/23/2012 © 2012 RTI • COMPANY CONFIDENTIAL 31

32. Download Your systems. Working as one.
Connext
Free Trial
NOW
www.rti.com/downloads