1. Control System Data Analysis Future Vision Author: Axel Voitier CERN EN-ICE

2. Control Systems  Monitoring & Control problem is solved  Our toolbox: Industrial tools + In-house Frameworks Openlab Workshop – 20 November 20132

3. Control Systems Openlab Workshop – 20 November 20133  Monitoring & Control problem is solved  Our toolbox: Industrial tools + In-house Frameworks  Architecture Fieldbus TN PLCs Sensors & Actuators MOON (Monitoring ) High Voltage DIM/CMW OPC Field layer Process layer Supervision layer

4. Control Systems  Monitoring & Control problem is solved  Our toolbox: Industrial tools + In-house frameworks  Architecture  Five major installations  Tons of data acquired & stored  Although, not much processing yet Openlab Workshop – 20 November 20134 ApplicationWinCC OA Systems Parameters (Million) ALICE1003 ATLAS13012 CMS9010 LHCb16010 Accelerator Complex12010

5. Approach Difficult to impose a data analysis tool Many equipment groups (Cryo, Gas, Vacuum, Machine Protection, etc.) Need for a flexible framework That takes care of common problems To offer analysis as a service to our users Openlab Workshop – 20 November 20135

6. Fieldbus TN PLCs Sensors & Actuators MOON (Monitoring ) High Voltage DIM/CMW OPC Field layer Process layer Supervision layer Integrated with our control systems Openlab Workshop – 20 November 20136 Data Analysis Framework Data collection & feedback FFT Machine Learning Neural Network CEPPatterns(R)(LabView)(Java) (WatchCAT) Data Processing Modules

7. Fieldbus TN PLCs Sensors & Actuators MOON (Monitoring ) High Voltage DIM/CMW OPC Field layer Process layer Supervision layer Scalable Data collection & feedback Data Analysis Framework Openlab Workshop – 20 November 20137 FFT Machine Learning Neural Network CEP Patterns (R) (LabView) (Java) (WatchCAT) Data Processing Modules

8. Fieldbus TN PLCs Sensors & Actuators MOON (Monitoring ) High Voltage DIM/CMW OPC Field layer Process layer Supervision layer Reliable Data collection & feedback Data Analysis Framework Openlab Workshop – 20 November 20138 Backup Data Analysis Preventive Alarm Processing FFT Machine Learning Neural Network CEP Patterns (R) (LabView) (Java) (WatchCAT) Data Processing Modules

9. Fieldbus TN PLCs Sensors & Actuators MOON (Monitoring ) High Voltage DIM/CMW OPC Field layer Process layer Supervision layer Visualisation Data collection & feedback Data Analysis Framework Visualisation Openlab Workshop – 20 November 20139 Backup Data Analysis Preventive Alarm Processing FFT Machine Learning Neural Network CEP Patterns (R) (LabView) (Java) (WatchCAT) Data Processing Modules

10. Fieldbus TN PLCs Sensors & Actuators MOON (Monitoring ) High Voltage DIM/CMW OPC Field layer Process layer Supervision layer Analysis flow written by the domain expert Data collection & feedback Data Analysis Framework Visualisation Expert Openlab Workshop – 20 November 201310 Backup Data Analysis Preventive Alarm Processing FFT Machine Learning Neural Network CEP Patterns (R) (LabView) (Java) (WatchCAT) Data Processing Modules

11. Fieldbus TN PLCs Sensors & Actuators MOON (Monitoring ) High Voltage DIM/CMW OPC Field layer Process layer Supervision layer Master Data collection & feedback Data Analysis Framework FFT Machine Learning Neural Network CEP Patterns (R) (LabView) (Java) (WatchCAT) Data Processing Modules Visualisation Expert Openlab Workshop – 20 November 201311 Backup Data Analysis Preventive Alarm Processing

12. Fieldbus TN PLCs Sensors & Actuators MOON (Monitoring ) High Voltage DIM/CMW OPC Field layer Process layer Supervision layer This is our vision Data collection & feedback Data Analysis Framework Visualisation Expert Openlab Workshop – 20 November 201312 Backup Data Analysis Preventive Alarm Processing FFT Machine Learning Neural Network CEP Patterns (R) (LabView) (Java) (WatchCAT) Data Processing Modules

13. Introducing ELVis by Siemens  Configurable analysis flow by user  + It can use custom analysis software  High scalability of analysis processes  From laptop to multi-node cluster  Stream based data processing engine: Storm  NoSQL data storage engine  Web-based visualisation interface  HTML5, Data pushed by WebSockets  Desktop and mobile devices Openlab Workshop – 20 November 201313

14. ELVis: General View Openlab Workshop – 20 November 201314 CT RTC BAM COM-RU

15. Integration of ELVis at CERN Openlab Workshop – 20 November 201315 CT RTC BAM COM-RU

16. Complicated Data Processing schemes Openlab Workshop – 20 November 201316 CT RTC BAM COM-RU

17. ELVis: Web-based Visualisation Openlab Workshop – 20 November 201317 CT RTC BAM COM-RU

18. Portfolio of framework  WatchCAT (Siemens)  Semi-automatic discovery of “symptoms” in collections of unstructured logs  Algorithm-driven, human-validated  Next: Event processing  Drools Fusion (Red Hat)  Open-source rules engine  Knowledge-based, temporal reasoning  ELVis (Siemens)  Scalable scaffolding for custom real-time analysis  Visualisation of analysis results Openlab Workshop – 20 November 201318

19. Conclusion  We have many use cases and users  Various kinds of analysis to perform  We need a flexible analysis environment  Integrated with our monitoring and control environments  Current focus  Alarm threshold learning with Drools Fusion  Evaluating ELVis  WatchCAT for event processing Openlab Workshop – 20 November 201319

20. 20 Any Questions Thank you for attending! Openlab Workshop – 20 November 2013