关于仿真的数据校正系统测评与改进

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1、论文IVABSTRACTABSTRACTInprocessenterpriseintegratedautomationsystem，especiallyinpetro—chemicalindustry,MES(ManufacturingExecutionSystem)playsaclosed-loop-controlroleinplantcontrol，operationandmanagementthroughcollecting，processing,transforming，transferringdatawhichisge

2、neratedinthemanufacturingprocess．MESistheinformationintegrationlinkbetweenPCS(ProcessControlSystem)andERP(EnterpriseResourcePlanning)．Inrealworldapplications，manufacturingdatacollectionisthebaseofotherMESfunctions．AsuccessfulMESdependsonprocessmeasurementdataaccuracy

3、andintegrity．Datareconciliation(DR)technologycansolvemanufacturingdatameasurementin-balanceandin-completeness．DRtechnologyusesmeasurementtimeandspecialredundancyinformationtofindanddeletethegrosserrorsinrawdata,reducetherandomerrorsinfluenceondatameasurementandestima

4、tethean．measuredvariables．DatabalancemodulewhichwasdevelopedbasedonDRprincipleandtechniqueisoneofcoremodulesinMESsoftware．BecausenotrueprocessdatavalueCanbegaineddirectlythroughthemeasurement，theDBindustryapplicationeffectivenessevaluationjustCandependonexperiencejud

5、gmentsinalongtimeandlacktheoryevidence．Manufacturingprocess§imulationdatageneratedfromintegralplantmodelCansupporttheeffectivenessevaluationofDBscientifically--usingsimulationtruevalueaccordingtothefieldMESleveldemandstogeneratemanufacturingsimulationdatawhichcontain

6、stheerrorsetbytester,thenusingDRmoduletorectifytheprocessdataandthecomparisonresultbetweenrectifieddataandtruevaluedshowstheDRmoduleevaluationresult．Thisarticledesignsanddevelopsanintelligentplantdatareconciliationsimulationevaluationplatformbasedonthedemandsproposed

7、previouslyandstudyfurtheronsuchascomponenttracingandcomponent—flowdatareconciliationaftertheevaluationresultanalysis．Themaincontentsofthisarticleandinnovationpointsareasfollows：1)DRtechnologyapplicationscurrentsituationinengineeringanditsmainchallengearediscussedanda

8、nalyzed(especiallyaboutSMES-SinopecMES)．Vresultandtruevalue,evaluationresult．3)AccordingtotheprocessindustryDRdemandsonsimulationpl