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Control System Data Analysis. Future Vision. Author: Axel Voitier CERN EN-ICE. Control Systems. Monitoring & Control problem is solved Our toolbox: Industrial tools + In-house Frameworks. Control Systems. Monitoring & Control problem is solved
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Control System Data Analysis Future Vision Author: Axel Voitier CERN EN-ICE
Control Systems • Monitoring & Control problem is solved • Our toolbox: Industrial tools + In-house Frameworks Openlab Workshop – 20 November 2013
Control Systems • Monitoring & Control problem is solved • Our toolbox: Industrial tools + In-house Frameworks • Architecture MOON (Monitoring) Supervisionlayer TN DIM/CMW OPC Processlayer PLCs High Voltage Fieldbus Field layer Sensors & Actuators Openlab Workshop – 20 November 2013
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 2013
Approach Openlab Workshop – 20 November 2013
Integrated with our control systems Data Analysis Framework Data Processing Modules FFT Neural Network (R) MOON (Monitoring) Supervisionlayer Machine Learning CEP (Java) Patterns (LabView) (WatchCAT) TN DIM/CMW OPC Processlayer Data collection & feedback PLCs High Voltage Fieldbus Field layer Sensors & Actuators Openlab Workshop – 20 November 2013
Scalable Data Analysis Framework Data Processing Modules FFT Neural Network (R) MOON (Monitoring) Supervisionlayer Machine Learning CEP (Java) TN Patterns (LabView) (WatchCAT) DIM/CMW OPC Processlayer Data collection & feedback PLCs High Voltage Fieldbus Field layer Sensors & Actuators Openlab Workshop – 20 November 2013
Reliable Data Analysis Framework Data Processing Modules FFT Neural Network (R) Backup Data Analysis MOON (Monitoring) Supervisionlayer Machine Learning CEP (Java) PreventiveAlarm Processing TN Patterns (LabView) (WatchCAT) DIM/CMW OPC Processlayer Data collection & feedback PLCs High Voltage Fieldbus Field layer Sensors & Actuators Openlab Workshop – 20 November 2013
Visualisation Data Analysis Framework Data Processing Modules FFT Neural Network (R) Backup Data Analysis MOON (Monitoring) Supervisionlayer Machine Learning CEP (Java) Visualisation PreventiveAlarm Processing TN Patterns (LabView) (WatchCAT) DIM/CMW OPC Processlayer Data collection & feedback PLCs High Voltage Fieldbus Field layer Sensors & Actuators Openlab Workshop – 20 November 2013
Analysis flow written by the domain expert Data Analysis Framework Data Processing Modules FFT Neural Network (R) Backup Data Analysis MOON (Monitoring) Supervisionlayer Expert Machine Learning CEP (Java) Visualisation PreventiveAlarm Processing TN Patterns (LabView) (WatchCAT) DIM/CMW OPC Processlayer Data collection & feedback PLCs High Voltage Fieldbus Field layer Sensors & Actuators Openlab Workshop – 20 November 2013
This is our vision Data Analysis Framework Data Processing Modules FFT Neural Network (R) Backup Data Analysis MOON (Monitoring) Supervisionlayer Expert Machine Learning CEP (Java) Visualisation PreventiveAlarm Processing TN Patterns (LabView) (WatchCAT) DIM/CMW OPC Processlayer Data collection & feedback PLCs High Voltage Fieldbus Field layer Sensors & Actuators Openlab Workshop – 20 November 2013
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 2013
ELVis: General View CT RTC BAM COM-RU Openlab Workshop – 20 November 2013
Integration of ELVis at CERN CT RTC BAM COM-RU Openlab Workshop – 20 November 2013
Complicated Data Processing schemes CT RTC BAM COM-RU Openlab Workshop – 20 November 2013
ELVis: Web-based Visualisation CT RTC BAM COM-RU Openlab Workshop – 20 November 2013
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 2013
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 2013
Any Questions Thank you for attending! Openlab Workshop – 20 November 2013