+ All Categories
Home > Documents > Apollon - Emanufacturing Experimental Setup

Apollon - Emanufacturing Experimental Setup

Date post: 09-Apr-2018
Category:
Upload: european-network-of-living-labs
View: 217 times
Download: 0 times
Share this document with a friend

of 28

Transcript
  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    1/28

    DELIVERABLE

    Project Acronym: APOLLON

    Grant Agreement number: 250516

    Project Title: Advanced Pilots of Living Labs Operating in Networks

    D.4.2 Experimental Setup

    Revision: [V1.0]

    Authors:

    Deepak Agrawal, SAP AG, Germany

    Project co-funded by the European Commission within the ICT Policy Support Programme

    Dissemination Level

    P Public X

    C Confidential, only for members of the consortium and the Commission Services

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    2/28

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    3/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 3 FinalVersion, 10/11/2010

    TableofContents

    1. Introduction ................................................................................................................ 42. ExperimentsatLivingLabs .................................................................................... 5

    2.1 UseCase1:PlantEnergyMonitoringandManagement...................................... 52.1.1 Hardwarerequirements ................................................... ...................................................... 62.1.2 Softwarerequirements ..................................................... ...................................................... 6

    2.2 UseCase2:AssetViewingandManagement .......................................................... 62.2.1 Hardwarerequirements ................................................... ...................................................... 72.2.2 Softwarerequirements ..................................................... ...................................................... 7

    2.3 UseCase3:Logisticstraceabilityandoptimization ............................................. 82.3.1 Hardwarerequirements ................................................... ...................................................... 82.3.2 Softwarerequirements ..................................................... ...................................................... 9

    3. MiddlewareforDeviceIntegration ..................................................................... 94. ExperimentalsetupSAPFutureFactoryLivingLabatSAPResearchCenter,Dresden,Germany ...........................................................................................10

    4.1 PlantenergymonitoringandmanagementUseCase ........................................104.1.1 UsecasespecificHardware.................................................................................................12 4.1.2 UsecasespecificSoftware ......................................................... ..........................................12

    4.2 LogisticstraceabilityandoptimizationinaFactoryUseCase........................12 4.2.2 UsecasespecificHardware.................................................................................................14 4.2.3 UsecasespecificSoftware ......................................................... ..........................................17

    5. Experimentalsetup:FIAPALLivingLab,Palmela,Portugal .....................175.1 EnergyConsumptionMonitoringUseCase ...........................................................17

    5.1.1 UsecasespecificHardware.................................................................................................17 5.1.2

    UsecasespecificSoftware ......................................................... ..........................................18

    5.2 AssetViewingandManagementUsecase..............................................................20

    5.2.1 Dataacquisitionforproductionmonitoring................................................................20 5.2.2 UsecasespecificSoftware ......................................................... ..........................................22

    6. Experimentalsetup:HVECLivingLab,Hungary ...........................................236.1 AssetViewingandManagementUsecase..............................................................23

    6.1.1 UsecasespecificHW .......................................................... ....................................................266.1.2 UsecasespecificSW...............................................................................................................28

    7. Summary ....................................................................................................................28

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    4/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 4 FinalVersion, 10/11/2010

    1. Introduction

    This deliverable describes the experimental setup for the use cases to be realized and

    implemented under the eManufacturing pilot in collaboration with and at the living

    labs participating in APOLLON WP4 and partner SMEs situated at different locations

    within EU. The use cases requirements and prerequisites are documented in thedeliverable D4.1. We briefly describe the generic use cases identified in consultation

    and collaboration among living labs and SME partners. Furthermore the descriptionof use case at each living lab locations is illustrated. The generic and specific

    description of experimental set up highlight the similarities and differences in the

    hardware and software of the experimental setups at different living labs and partner

    SMEs in Germany, Portugal and Hungary. Finally the document is concluded with

    the summary of the experimental set up and collaboration among the living labs andSMEs within EU.

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    5/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 5 FinalVersion, 10/11/2010

    2.Experiments at Living LabsThe experiments are set atthreedifferent locations in Germany, Portugal andHungarywithinEUforrealizingtheusecases.Thereareoneormoreusecases

    tobeimplementedateachLivingLab(LL)location.Threeusecasesunderthisworkpackagesaredescribedtogiveanoverviewofthereader.EachlivinglablocationwillimplementoneormoreoftheseusecasewiththeirSMEpartners.

    Followingisthelistofusecaseswhichwillbeimplementedateachofthethreelocations.

    1) FutureFactorylivinglabofSAPResearchCenter,Dresden(SAPAG)

    (a)Monitoringtheenergyconsumptionofmachineinafactory(b)Trackingandtracingoftoolsandmaterialinafactory

    environment2) FrumdaIndstriaAutomveldePalmela,Portugal(FIAPAL)

    (a)Monitoringtheenergyconsumptionofanassemblyline(b)Assetviewingandmanagementinafactory

    3) HungarianVehicleEngineeringCluster,Hungary(HVEC)(a)Assetviewingandmanagementinafactory

    2.1 Use Case 1: Plant Energy Monitoring and Management

    Theobjectiveofthisscenarioistomonitorandmanageenergyconsumptionby

    the machines in the production line of a plant. The energy consumption ismeasuredwiththehelpofSmartEnergyMetersconnectedtotheplantmachines

    andconsumptiondataarecommunicatedtotheenergymonitoringapplications

    (An example of application UI is shown in Figure below) through the DeviceIntegration and Management Middleware. The middleware for device

    integration(MDI)fromSAPisPrototypesoftware.Therearedifferenttypesof

    smart energy meters available in the market. These meters either cancommunicate directly with the middleware or through the intermediate

    programmable logic control (PLC). A high-level view of how the energyconsumption and corresponding alert can be displayed is shown below (for

    demonstrationonly). Different alert levels canbe pre-defined accordingto the

    amount of energy consumed. These alerts indicates the higher than expectedenergyconsumptionwhichwillbeanindicatorforthesupervisorandorplant

    managertoinvestigatedthereasonofhighconsumptionandfixtheproblemto

    bringtheenergyconsumptionwithinlimitthustheenergyconsumptionwillbemanaged.

    Thebenefitsofenergysavinganditsimpactoncarbonfootprintofproductionprocess demands production companies effective control on their energy

    consumption and continuously monitor the energy consumption. Energy

    monitoringandmanagementservicesdevelopedcollaborativelybytheITSMEswillbeconsumedbytheendusersandorotherSMEs.ThusSMEswillbeableto

    collaborateandsharetheirknowledgeandexpertisewithotherSMEsandotherstakeholders under the framework of this project and may pave the way for

    futurecollaborationamongthem.

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    6/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 6 FinalVersion, 10/11/2010

    Figure1:EnergyMonitoringUserInterfaceMock-upSAPAG,2010

    2.1.1 Hardware requirements

    a) Standardx86processorsbasedoperatingenvironmentwithatleast1GBRAMand2GBfreeHardDiskspace.

    b) SmartEnergyMeterformeasuringtheenergyconsumption

    c) Machinesofwhichenergyconsumptionistobemonitored

    2.1.2 Software requirements

    a) SAPMiddlewareforDeviceIntegrationb) StandardMicrosoftXPorVistaoperatingsystempreferredalthoughthe

    platformcanalsoexecuteoncertaindistributionsofLinux.

    c) AJavaruntimeVersion6isrequiredinadditiontothefreeEclipseIDE.Otherfreelibrariesanddependencieswillbeprovided.

    d) Backendsystems(suchasdatabases,ERP(ifrequired)).e) ApplicationsoftwareoradvancedvisualizationlibrariessuchasAdobe

    Flexforvisualizingconsumptiondata.

    2.2 Use Case 2: Asset Viewing and Management

    Plantmanagersorshopfloorsupervisorsliketoknowthestatusandhealthof

    assets(machine,material,softwareandpersonnel)inaplantorattheshopfloorrespectively. Asset related information helps them in optimizing the assets

    utilizationaswellasinproductionplanning.Theobjectiveofthisscenarioisto

    present a uniform view of geographically distributed plant assets, such asdevices,machines,enterprisesoftwaresystems,andpersonnelintheformofa

    tree hierarchy and also update their health status (such as red, yellow, and

    green) ona nearreal-timebasis. The goalhereisto giveahigh-levelgroupingperspective based on different categories of entities to the plant managers or

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    7/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 7 FinalVersion, 10/11/2010

    shop floor supervisors. For illustration, the following figure shows how a

    tentative asset hierarchy might look in the frontend UI of the platform (fordemonstrationonly).Thisscenarioresultswillprovideanadministratororthe

    shop-floormanageranoverviewofthedistributedresources,theirconfiguration

    statisticsandoperationalstatus.Furthermore,thevisualhierarchymakesiteasyto group similar categories of entities and enables easy configuration of

    electronicdeviceswhichcommunicateviastandarddata-transferprotocols.

    Figure2:AssetViewingMock-upSAPAG,2010

    2.2.1 Hardware requirements

    a) Standardx86processorsbasedoperatingenvironmentwithatleast1GBRAMand2GBfreeHardDiskspace.

    b) Plant assets like machines, personnel, software to be monitored at theplant.

    2.2.2 Software requirements

    a) SAPMiddlewareforDeviceIntegration.b) StandardMicrosoftXPorVistaoperatingsystempreferredalthoughthe

    platformcanalsoexecuteoncertaindistributionsofLinux.c) AJavaruntimeVersion6isrequiredinadditiontothefreeEclipseIDE.

    Otherfreelibrariesanddependencieswillbeprovided.d) Backendsystems(suchasdatabases,ERP(ifrequired)).e) ApplicationsoftwareoradvancedvisualizationlibrariessuchasAdobe

    Flexforvisualizingconsumptiondata.

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    8/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 8 FinalVersion, 10/11/2010

    2.3 Use Case 3: Logistics traceability and optimization

    An important requirementofday-to-day functioning ofdistributed factory and

    warehouseoperationistheabilitytotrackinventory.Inventory,amongstother

    things, may mean tools, materials, and personnel. As part of this scenario,partners will be involved in designing a localization architecture which will

    facilitatetrackingoftaggedentitiesinadistributedfactory/warehousesetting.Theoverviewofthisscenarioisillustratedinthefollowingdiagram:

    Figure3:LogistictraceabilityandoptimizationMock-upSAPAG,2010

    Here,wireless sensors installedat different locations of the plant emit signals

    indicating the approximate location of an asset. An important element of thisscenarioistomaptheseapproximatecoordinatesintoabsolutewarehouse/shop

    floorlocationswhichareidentifiableinthewarehousemanagementsystems.

    Localizationarchitecturewillhelpinidentifyingmaterialflowontheshop-floor.

    Furthermore,itwillaidinassetmonitoringandmanagement(apartwhichis

    essentialinWarehouseManagement).

    2.3.1 Hardware requirements

    a) Standardx86processorsbasedoperatingenvironmentwithatleast1GBRAMand2GBfreeHardDiskspace.

    b) Devices,tools,material,machinesetc.tobetracedintheplant.c) Locationawaresensors

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    9/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 9 FinalVersion, 10/11/2010

    2.3.2 Software requirements

    a) SAPMiddlewareforDeviceIntegration.b) StandardMicrosoftXPorVistaoperatingsystempreferredalthoughthe

    platformcanalsoexecuteoncertaindistributionsofLinux.c) AJavaruntimeVersion6isrequiredinadditiontothefreeEclipseIDE.

    Otherfreelibrariesanddependencieswillbeprovided.

    d) Backendsystems(suchasdatabases,ERP(ifrequired)).e) 3Dtrackingdevices/sensorsforlocatingassetsacrossshopfloor.

    f) Externaldatabasee.g.NewDB,SQLetc

    3.Middleware for Device IntegrationTheMiddlewareforDeviceIntegration(MDI)connectssensors,devices,systems,

    andusersinthephysicalworldwiththebackendbusinesssystems.Itprovidesalean,robust,scalable,andflexiblearchitecturetoenablethedevelopmentofreal

    world integration applications across all industries. Furthermore, it has the

    facilitytoofferaservicedevelopmentandcompositionframeworkfordeployingeManufacturing services across varied scenarios. MDI has three major parts

    namelysitemanager,centralinstanceandnode.

    MDI Site Manager is the design time tool for configuration. It is a plug-in for

    Eclipse [www.eclipse.org]. Site Manager connects to the MDI Central Instance

    (CI) which centrally holds the master copies of all configuration data and runtimeagentcode.

    The run time consists of one or more MDI nodes. Each MDI node is a systemrunningtheagentsresponsiblefordeviceconnectivityand/orintegrationlogic.

    An MDI node may run on a regular PC server, an embedded PC, or within a

    virtual machine. The MDI run time is built on Java technology and thereforeplatform-independent(forinstance,MicrosoftandLinuxbuildsareavailable).

    MDIcanbescaledbydeployingadditionalMDInodes.Forexample,anentiresite

    maybemanagedbyoneMDInodewhileacertainpartofthesiteismanagedbya separate MDI node. MDI nodes are able to communicate in a peer-to-peer

    fashion(e.g.anagentinoneMDInodemaysubscribetoeventsdispatchedbyanagent that runs on a different MDI node). All agents deployed within an MDI

    node run in an OSGi environment [www.osgi.org; eclipse.org/equinox] whichenables dynamic code deployment without restart. This OSGi functionalityenables aminimal footprintfor the run timewhileallowingthe growth ofthis

    footprintaccordingthechangingrequirements.

    All real-world entities that MDI communicates with are modelled as objects.

    Objects are of a defined object type which can represent any abstract

    representation or grouping of an entity (e.g. Site, ERP system, weigh scale,SiemensS7-300PLC).MDIcomeswithanumberofpre-definedobjecttypesbut

    also allows the user or system integrator to define custom object types. All

    objectsareorganizedinatreeundertherootobject.Theobjecthierarchy(also

    referredtoastheassethierarchy)isentirelydefinedbytheuseranddependsontheactualusecase.Normally,theobjecthierarchymirrorstheorganizationof

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    10/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 10 FinalVersion, 10/11/2010

    objectsintherealworld(forexample,PlantSite>ProductionLine>Machine>

    Barcodescanner).

    Ifanobjectisnotmerelyusedasagroupingconstruct(e.g.Site),itislinkedto

    exactly one agent which provides the functionality to communicate with the

    object.Forexample,anobjectofthetypeweighscalemaybelinkedtoanagentthatprovidesconnectivitytoamanufacturerspecificweighscale.

    EachobjectisuniquelyidentifiedthroughouttheentireMDIobjecthierarchyviaa custom-entered ID (e.g. PLANT_DRESDEN_BARCODE_SCANNER_3). If an

    agentinstanceis linked totheobjectitwillhavethesameIDastheobjectitis

    linkedto.ThisIDcanbeusedbyexternalsystemstoreferencetheobjectandtheservicesandeventsitprovides.

    4.Experimental setup SAP Future Factory Living Lab atSAP Research Center, Dresden, Germany

    4.1 Plant energy monitoring and management Use Case

    ThisusecaseintheFutureFactoryLivingLabofSAPResearchDresdenisaboutenergy consumption monitoring of the machines used in the lab e.g. milling

    machine,3Dprinter,robotsetcforenergyefficiencyandsustainableproduction.The experimental setup uses the energy meters for measuring the energy

    consumptionofvarietyofmachines.Theenergymetersfromdifferentvendors

    areusedforthispurposee.g.MitsubishiElectric,Plogg,andNZRenergymeter

    etc.EnergymeterfromMitsubishielectricandPloggareshowninFigure4andFigure5respectivelyforyourperusal.

    Figure4:SmartEnergyMeterfromMitsubishiElectricSAPAG,2010

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    11/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 11 FinalVersion, 10/11/2010

    Figure5:SmartEnergyMeterPloggSAPAG,2010

    Theenergymetersmeasuretheenergyconsumptionofthemachinerunningin

    the Future Factory e.g. milling machine and the consumption related data e.g.time stamp, consumption in kWh and instantaneous consumption in kW are

    communicatedtoubigrateCClinkadapters.MDIHTTPagentsubscribestothe

    datafromglasnostusingtheMDIHTTPagent.Thedataarecollectedeveryfewseconds(scheduletimecanbeadjusted)bythemiddlewareandareeventbased.

    Eventbasedarchitectureregistertheeventsonlytofilterthedataandavoidthework load i.e. if there is change in consumption data then only new data are

    communicated tothe logic agentofMDI.There is another Xcelsiusagent(SAP

    BuinessObjects Xcelsius is an SAP reporting solution) which facilitates thecommunicationbetweenMDIlogicagentandtheSAPXcelsiusEnergyDashboard

    application(ShowninFigure1).Theblockdiagramofthearchitectureoftheuse

    case is shown in Figure 6. The data received from the energy meters can bestored intheexternaldatabase(notshownin the figure 6)using the database

    connector agent. These data can be used for future analysis and statisticalcalculations.

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    12/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 12 FinalVersion, 10/11/2010

    Figure6:ArchitectureofEnergyMonitoringUsecaseSAPAG,2010

    4.1.1 Use case specific Hardwarea) SmartEnergyMetersusedforthescenariosaremetersfromMitsubishi

    electricmodelEN96NSRandPlogg

    (http://www.plogginternational.com/).

    b) CCLinkmodulefromMitsubishic) MillingMachines

    4.1.2 Use case specific Software

    a) Ubigrateadapternamedglasnost(www.ubigrate.com)b) SAPXcelsiusDashboardfordisplayingenergymonitoringinuserfriendly

    modec) NewDBdatabaseforstoringthedatareceivedfromthesmartmeters.

    4.2 Logistics traceability and optimization in a Factory Use Case

    Trackingoftoolsandmaterialsisanimportantinfactorysshopfloorbecause

    timeandeffortrequiredtosearchthedesiredobjectsonrequirementdelaystheproduction processes thus increases the overall cost of production. It also

    generatestheundesiredinventoryjustbecauseoflackofinformationabouttheavailability of the assets in the factory. Thus overall utilization efficiency of

    availableassetandproductionplanningisreducedduetolackofinformationof

    assetswhereabouts.

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    13/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 13 FinalVersion, 10/11/2010

    Wirelesslocalizationisimportantfortheobjecttrackingbecauseidentification

    ofexactpositionsofmovingobjectsallowsaccessingtheassetquicklywheneverrequired specially in case of emergencies and plan most effective routes. The

    wirelesslocalizationsetupusedforthisusecaseisfrompartnersSMEAgilion.

    Wehaveusedthehardwareandrelatedsoftwareforlocalizationofassetsontheground floor. The description of hardware and related software sourced from

    Agilionisdescribedlaterinthissection.ThelocalizationinformationoftheassetarecommunicatedtotheDeviceIntegrationmiddleware(MDI)wherethedata

    areprocessedandcommunicatedtoBECKHOFFPLCrunningOPCfoundations

    (www.opcfoundation.org) Unified Architecture (UA)server. TheOPC UA is thenextgenerationOPCstandardthatprovidesacohesive,secureandreliablecross

    platform framework for access to real time and historical data and events.

    ICONICS GraphWorkX (www.iconics.com) is the OPC Data Access clientapplications,whichcancaneasilyplug-n-playnotonlywithICONICSserversand

    components, but other 3rd-Party hardware interface drivers and software aswell. GraphWorkX creates the graphics for Human-Machine Interface (HMI)

    needs.GraphWorkXisusedasa frontendfordisplayingthelocalizationdatain

    easytounderstandway.Thearchitectureoftheassettrackingandtracingusecaseisshowninfigure7.

    Figure7:ArchitectureforTrackingandTracingofToolsandMaterialusecase

    SAPAG,2010

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    14/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 14 FinalVersion, 10/11/2010

    4.2.2 Use case specific Hardware

    a) AgilionMobileTag:Themobiletagswillbelocatedinthewirelessnetwork.People,material,toolsanddevicescouldbeequippedwiththosetags.The

    transmissionofadditionalapplicationspecificdatafromandtothemobiletagsisalsopossibleforgettingtheexactlocationofassets.Therearetwo

    typesofwirelesstagforthisusecaseoneishandheldtagshowninFigure

    8.WirelessHandheldtagsareusedjustbyattachingittotheobjectneedtobetracked.AsmallerwirelesstagforpersonaltrackingisshowninFigure

    9.Smallsizemakesitsuitableforkeepinginsidethepocketofclotheswornby the person. More information about the tags and or other parts

    mentioned below is available at

    http://www.agilion.de/Localization.htmlhttp://www.agilion.de/Localization.html.

    Figure8:AgilionWirelessTagHandheldSAPAG,2010

    Figure9:AgilionWirelessTagforPersonnelSAPAG,2010

    b) AgilionAnchor:Theanchornodesarefixedatapositioninthelocalizationnetwork.These are the basepoints for positioningandcouldbe usedforforwardingthepositioninformationaswell.AnAgilionAnchorisshownin

    theFigure10.

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    15/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 15 FinalVersion, 10/11/2010

    Figure10:AgilionWirelessAnchorSAPAG,2010

    c) AgilionGateway:Gatewaysarethebasepointsinthelocalizationnetwork

    like Anchors. Furthermore they are the interface between the ITinfrastructure(e.g.Ethernet)andthewirelesslocalizationnetwork.TheITinfrastructure is used for the exchange of localization information and

    applicationspecificdatabetweenthewirelesslocalizationnetworkandthelocalization database server. Depending on the size of localization

    networks for larger number of mobile tags and correct position

    information, large numbers of gateways are recommended for use. Wehave used one Gateway in SAP Research Future Factory living lab in

    Dresden,Germany.

    Figure11:AgilionWirelessGatewayEthernetSAPAG,2010

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    16/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 16 FinalVersion, 10/11/2010

    d) BECKHOFF Programmable Logic Controller (PLC): The localization datareceivedfromtheAgilionlocalizationwirelessnetworkisprocessedbytheMDIandcommunicatedtotheBECKHOFFPLCwhichhostOPCUAserver.

    OPCUAserverprovidesaninterfacewiththeICONICSGraphWorkXwhere

    theprocessedinformationispresentedinuserfriendlyformat.

    Figure12:BECKHOFFPLCSAPAG,2010

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    17/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 17 FinalVersion, 10/11/2010

    4.2.3 Use case specific Software

    a) ICONICSGraphWorkX:UIApplicationfordisplayingthedataprocessedbythemiddleware.

    b) OPCUAServer&Client:InterfacebetweenmiddlewareandUIapplication.

    c) Agilion Locationserver: TheAgilion Location server contains localizationand communication server applications forthe determination of position

    and tracking within the WIRELESS LOCATION SYSTEM as well as Client

    applications for administration management and visualization. Theposition calculationofthe mobile tags is done onthe localization server.

    Theserverhasinterfacesforaccesstopositioninformationandapplicationspecific data. Position information of mobile tags can be viewed using

    Agilion2DViewapplication.Agilion2Dviewisa clientforvisualizationof

    WIRELESS TAGs in plants upon ground plan or top view photographs.Followingare thesoftware tools used formanagement andvisualization.

    AgilionNetworkConfigurationisanadministrativeclientforsetupofthe

    wireless communication infrastructure and for configuration ofinfrastructure components and WIRELESS TAGs. Agilion Localization

    Configuration is an administrative client for configuration of localizationzones and configuration of localization technologies. Agilion User

    Management is an administrative client for user management and

    administration within the WIRELESS LOCATION SYSTEM. Agilion SystemManagement is a client for assignment of persons or processes to

    WIRELESSTAGs.Typicalpersonalnumbersordeliverynotenumberscould

    bereferredtoaWIRELESSTAG.Agilion2DViewisaclientforvisualizationofWIRELESSTAGsinplantsupongroundplanortopviewphotographs.

    5. Experimentalsetup:FIAPAL Living Lab, Palmela,Portugal

    5.1 Energy Consumption Monitoring Use Case

    ThisusecaseintheFiapalLivingLabwillbecarriedoutatSMEImeguisa.Itwill

    consistofenergyconsumptionmonitoringatthemainelectricityboardthrough

    which all the machines are powered and also two key machines; CNC millingmachine and Pipe forming machine individually. The experimental setup uses

    theenergymetersformeasuringtheenergyconsumption.

    5.1.1 Use case specific Hardware

    a) SmartEnergyMetersusedaremetersfromISAiMeterRail(www.isasensing.com)showninfigure13

    b) Mainelectricalboardshowninfigure14c) CNCMillingMachineshowninfigure15

    d) Pipeformingmachineshowninfigure16

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    18/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 18 FinalVersion, 10/11/2010

    5.1.2 Use case specific Software

    a)Monitoringapplicationfordisplayingthedatab)CustomizedMDIAgents

    Figure13:SmartMeterISA

    Figure14:ElectricalBoardImeguisa

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    19/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 19 FinalVersion, 10/11/2010

    Figure15:CNCmillingmachineImeguisa

    Figure16:PipeformingmachineImeguisa

    TheusecasearchitectureisshowninFigure17.Thedataiscollectedfromthe

    sensorsbyanISAproxy,it'sthencachedandavailabletotheMDIagentsusingwebservices.Theagentsthenprocessandsavetheinformationinthedatabase

    tobeavailableintheMDIMDISitemanagerinterface.

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    20/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 20 FinalVersion, 10/11/2010

    Figure17:ArchitectureforEnergyMonitoringusecase

    5.2 Asset Viewing and Management Use case

    ThisusecaseundertheFIAPALLivingLabwillbecarriedoutattheLearningFactory of CENI. The base scenario is a part of a manufacturing process of

    electronicsgoods,whichispresentedinthefollowingpicture.

    Figure18:-Theprocessthatprovidesthecontextformonitoring

    5.2.1 Data acquisition for production monitoring

    The sub-processes and workstations were selected considering two mainconditions:

    Insertionofsmall

    com onents

    Welding Sequencing Inspection Segregationofdefective

    boards

    Assembly Testing Assemblyand

    touch-up

    Finalassembly

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    21/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 21 FinalVersion, 10/11/2010

    a) The demonstration of a asset monitoring using different types of datacollectedinindustrialfacilitiesand

    b) Thecharacteristicsofexistingequipment(automatic,semi-automaticand

    manual)

    Threeprocesseswereselectedboardsequencing,assemblyandtouch-up.Itisnot intended to monitor all variables characterising the whole production

    processbutsimplytodemonstratetheuseoftheplatformforassetviewingandmanagementusingtheselecteddataintheselectedworkstations.Thedatafrom

    followingobjectswerecollected.

    Loader: The loader has several sensors that can be used for conditionmonitoring and for output counting. Data is to be obtained at the output

    connectorsofaPLCOMRONSYSMACC60P.

    Screwdrivers:Thescrewdrivershavecontrollers(DOGAXS-38D)thatsupply

    powerandreceivetorquesignal.Variablesthatcanberead-eventOK,eventnotOKandeventcyclecompletion.

    Manual welding tools: The manual welding tools do not provide any data

    beyondenergyconsumption.Aswitchtodetectthepresenceofaboardinajig

    willbeused.

    (a)Loader (b)PLC

    Figure19:LoaderfromCENIandPLCfromOMRON

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    22/28

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    23/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 23 FinalVersion, 10/11/2010

    inthedatabasetobeavailablethroughtheMDISitemanagerinterface.

    Figure21:ArchitectureofAssetViewingandManagementUsecaseatFIAPAL,Portugal

    6.Experimental setup: HVEC Living Lab, Hungary

    6.1 Asset Viewing and Management Use case

    Thispilotprojecthastheintentiontocollectassetsinformationin thedatabase

    andtomonitorproductionequipmentsforimprovingproductionefficiency.Itisvery important, for maintenance and production planning, to know machine

    efficiencyandcapacityforproductionworks.Thisinformationis neededinreal

    timeforfastreaction.Thisinformationwillbecollectedthroughthesensorsand

    with the MDI developed agent thus helps to save time in data collection,evaluation, reporting and visualization. A better maintenance and production

    planningcanbeachieved.Visualizationofrealtimedatahelpsmanagementforfasterreactionandbetterdecision.

    Atpresent,datacollectionofmachinefailures,waitingtimesisdonebyoperatormanually.TheinformationiswritteninanExcelsheet.Theevaluationofthese

    sheetshappeningonceaweek.ThisevaluationismadeinExcelbyusingmacros,

    reportingbrieflyinPowerPointorsimilarformat.

    Informationtocollect:

    a) Nr.Oforderb) Nr.OfAsset

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    24/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 24 FinalVersion, 10/11/2010

    c) Nameofproduct

    d) Nr.Ofshift

    e) Productiontime

    f) Preparationtime

    g) Waitingtimes:

    i. Nogassupply

    ii. Noenergysupply

    iii. Overheating

    iv. Noworkerdedicated

    v. Waitingforforklift

    vi. Waitingformaterialvii. WaitingforQualityexpert

    viii. Maintenance

    ix. SWfailure

    x. Machinefailure

    xi. Administration

    xii. Shiftchange

    xiii. Breakforworker

    xiv. Smokingbreak

    xv. Machinecheck

    xvi. Organizational,communicationalfailure

    h) Indicators:

    i. second/minutes

    ii. numberoffailures

    Todaytheperformanceandworkloadofthemachinesaremonitoredusingthe

    manualdocumentationbytheworkerstheyalsodomanualevaluationandsummary.

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    25/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 25 FinalVersion, 10/11/2010

    Figure22:ChartofoperationtimeinExcel

    KUKAwouldliketochangethemanualdatacollectiontoautomaticrealtimedatagatheringtoreachfollowingachievements

    a) measuretherealworkingtimeb) collectthecauseofworkbreakandstoppingtime(thesecodesof

    problemwouldcomefromtheoperator)

    c) thestatusofmachineswouldbevisibleonthePCofthemachineroomgroupleader

    d) therewouldbeabiggerdisplaytoshowthestatusofallmachines(visualcoloredinformationinrealtime)

    Figure23:ArchitectureofAssetViewingandManagementusecaseatHVECin

    Hungary

    SensorsandrelaysinstalledonthemachinesendDatafromthemachinetothe

    Omron PLC. Omron PLC communicates with the middleware for device

    integrationthroughtheEthernetinterface.DatareceivedandprocessedbytheMDI are stored in the external database. A user interface will be developed

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    26/28

    Apollon D.4.2 Experimental Setup

    APOLLON ICT PSP Project 26 FinalVersion, 10/11/2010

    according to the requirement of application. The developed UI will fetch data

    fromthroughtheMDIfromthedatabaseandorfromtheOMRONPLCforrealtimeassetmonitoring.

    Figure24:Flowchartofmonitoring

    6.1.1 Use case specific HW

    a) CP1W-CIF41Ethernetinterface

    b) Terminaltype:NT11-NT21

    Datasuchastheproductionstatusandproductionresultscanbedisplayedonterminal NT11-NT21. The display, numeric keys, and function keys are all

    integrated into the front panel, which is convenient for the user. Bar graph

    displays allow the progress of processes to be checked at a glance. Moreinformation is avalaible here:

    http://www.ia.omron.com/product/family/1889/index_l_u.htmlhttp://www.ia.omron.com/product/family/1889/index_l_u.html

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    27/28

  • 8/7/2019 Apollon - Emanufacturing Experimental Setup

    28/28

    Apollon D.4.2 Experimental Setup

    Figure26:Anexample:Lasercuttingmachine

    6.1.2 Use case specific SW

    a) OmronCP1E-N40DR-APLCsoftware

    b) DevelopeduserInterface/MonitoringApplication

    7.SummaryIn this document we have briefly described three use cases and common

    hardwareand softwarerequired for the experimental set upof use cases. The

    use cases were presented, discussed and agreed with partner living labs andparticipatingSMEsoftheworkpackage.Theusecasedescriptionisfollowedby

    the brief description of SAP prototype middleware for device integration. SAPmiddleware for device integration connect devices at the shop floor with the

    businesssystems.Theusageofhardwareandapplicationsoftwarevariesdueto

    useofhardwarefromdifferentvendors.Thesedifferencesarehighlightedinthedescription of use cases to be realized at different living labs in Portugal and

    Hungaryrespectively.Themiddlewarewillfacilitatethecollaborationamongthe

    SMEs at different locations. For example service developed by the SME inGermany can be consumed by the SMEs in Portugal using the hardware

    manufacturedbytheSMEinPortugalorSMEinHungaryandviceversa.


Recommended