Embedded Service Oriented Monitoring for the Energy Aware Factory
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Transcript of Embedded Service Oriented Monitoring for the Energy Aware Factory
Embedded Service Oriented Monitoring for the Energy Aware Factory
09.04.2023Embedded Service Oriented Monitoring for
the Energy Aware Factory1
Conference: 2012 IEEE International Conference on Information and Automation for Sustainability
Title of the paper: Embedded Service Oriented Monitoring for the Energy Aware Factory
Authors: Corina Postelnicu, Bin Zhang,
Jose Luis Martinez Lastra
If you would like to receive a reprint of the original paper, please contact us
•Date: September, 2012•Linked to: eSONIA
Contact information
Tampere University of Technology,
FAST Laboratory,
P.O. Box 600,
FIN-33101 Tampere,
Finland
Email: [email protected]
www.tut.fi/fast
Embedded Service Oriented Monitoring for the Energy
Aware FactoryCorina Postelnicu
Bin Zhang
Jose L. Martinez Lastra
Factory Automation Systems and Technologies
Tampere University of Technology, FinlandICIAfS 2012, Beijing, China
27-29.9.2012
ARTEMIS eSONIA project (Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset Aware and Self Recovery Factory)
Outline
1.Introduction
2.The model
3.Testbed
4.Implementation– Technologies– Complex Event Processing– Key Performance Indicators
5.Conclusions and future work
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the Energy Aware Factory3
Introduction
1.Requirements for modern manufacturing systems
Flexibility, Efficiency, Etc
2.Energy 2020 strategy by European Council in March 2007
1. Reduce total energy use by 20%
2. Increase renewable energy use to 20%
3. Reduce greenhouse gas emission by 20%
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Introduction
Solution
1.Define Key Performance Indicators (KPIs)
2.To gather and process data in real time to KPIs
3.To display KPIs in real-time on web
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The model
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Testbed
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Testbed
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Testbed
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729 product variants
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Testbed
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En
erg
y
con
sum
pti
on
Embedded controllers to publish the device information as web services
Each cell has 4 controllersCell 1 has an extra controller
Implementation: Technologies
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SOAP WS
Web application
Runtime KPIs
Data persistence
Visualization
Implementation: Complex Event Processing
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Esper Engine
Event Processing Language (EPL):select a.cellId as cellId, a.dateTime as dateTime, b.AWATTHR as energy, a.palletId as palletIdfrom pattern [ every a=EquipmentChangeState (currentState="READY-PROCESSING-EXECUTING") -> b=EnergyMeter(cellId=a.cellId)]
Rules Listeners
Listener:….public void update(Map map){ String cellId = map.get(“cellId”).toString(); ….}
Event flow
Event registration As the events flowing to the
engine, a match on the EPL invokes the update method in the Listener.
Implementation: Key Performance Indicators
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Efficiency– Unit energy consumption– Process energy
consumption– Unit production time– Unit processing time– Production shutdowns– Cell production rate
Energy• Cell energy consumption• Unit energy consumption
Reliability• Mean time-to-repair (MTTR)• Mean time-to-failure (MTTF)• Mean time between failure
(MTBF)
Quality• Frame quality rate• Keyboard quality rate• Screen quality rate• Overall quality rate
Conclusions and future work
A KPI monitoring system has been developed to monitor the critical performance of a real factory automation testbed.
Future work1.Setting thresholds (targets) for KPIs
2.Alarm mechanism to announce interesting behaviors
3.Conversion of shop floor and MES information into meaningful pieces of advices
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Thank you!
ARTEMIS eSONIA project (Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset Aware and Self Recovery Factory)