Control System Data Analysis
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Control System Data Analysis Future Vision Author: Axel Voitier CERN EN-ICE
description
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 - PowerPoint PPT Presentation
Transcript of Control System Data Analysis
Control System Data Analysis
Future Vision
Author: Axel VoitierCERN EN-ICE
Control Systems
Monitoring & Control problem is solved Our toolbox: Industrial tools + In-house
Frameworks
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Control Systems
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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
Processlayer
Supervision
layer
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
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Application WinCC OASystems
Parameters(Million)
ALICE 100 3
ATLAS 130 12
CMS 90 10
LHCb 160 10
Accelerator Complex 120 10
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
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Fieldbus
TN
PLCs
Sensors &
Actuators
MOON(Monitoring)
High Voltage
DIM/CMW OPC
Field layer
Processlayer
Supervision
layer
Integrated with our control systems
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Data Analysis Framework
Data collection & feedback
FFT
Machine
Learning
Neural Networ
k
CEP
Patterns
(R)
(LabView)
(Java)
(WatchCAT)
Data Processing Modules
TN
MOON(Monitoring)
DIM/CMW OPC
Supervision
layer
Scalable
Data collection & feedback
Data Analysis Framework
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FFT
Machine
Learning
Neural Networ
k
CEP
Patterns
(R)
(LabView)
(Java)
(WatchCAT)
Data Processing Modules
TN
MOON(Monitoring)
DIM/CMW OPC
Supervision
layer
Reliable
Data collection & feedback
Data Analysis Framework
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BackupData
AnalysisPreventiveAlarm
Processing
FFT
Machine
Learning
Neural Networ
k
CEP
Patterns
(R)
(LabView)
(Java)
(WatchCAT)
Data Processing Modules
TN
MOON(Monitoring)
DIM/CMW OPC
Supervision
layer
Visualisation
Data collection & feedback
Data Analysis Framework
Visualisation
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BackupData
AnalysisPreventiveAlarm
Processing
FFT
Machine
Learning
Neural Networ
k
CEP
Patterns
(R)
(LabView)
(Java)
(WatchCAT)
Data Processing Modules
TN
MOON(Monitoring)
DIM/CMW OPC
Supervision
layer
Analysis flow written by the domain expert
Data collection & feedback
Data Analysis Framework
Visualisation
Expert
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BackupData
AnalysisPreventiveAlarm
Processing
FFT
Machine
Learning
Neural Networ
k
CEP
Patterns
(R)
(LabView)
(Java)
(WatchCAT)
Data Processing Modules
TN
MOON(Monitoring)
DIM/CMW OPC
Supervision
layer
This is our vision
Data collection & feedback
Data Analysis Framework
Visualisation
Expert
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BackupData
AnalysisPreventiveAlarm
Processing
FFT
Machine
Learning
Neural Networ
k
CEP
Patterns
(R)
(LabView)
(Java)
(WatchCAT)
Data Processing Modules
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
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ELVis: General View
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CT RTC BAM COM-RU
Integration of ELVis at CERN
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CT RTC BAM COM-RU
Complicated Data Processing schemes
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CT RTC BAM COM-RU
ELVis: Web-based Visualisation
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CT RTC BAM COM-RU
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
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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
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Any Questions
Thank you for attending!
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