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



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%



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



The model



Testbed



Testbed



Testbed



729 product variants

+ +

+ +

+

+

+

+

=

Testbed



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



SOAP WS

Web application

Runtime KPIs

Data persistence

Visualization

Implementation: Complex Event Processing



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



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





Thank you!

[email protected]

[email protected]

ARTEMIS eSONIA project (Embedded Service Oriented Monitoring, Diagnostics and Control: Towards the Asset Aware and Self Recovery Factory)

Embedded Service Oriented Monitoring for the Energy Aware Factory

Documents

energy aware factorydate

energy awarefactoryauthors

theasset aware

total energy use

renewable energy use

real time tokpis3

mes information

information andautomation