车站信号控制设备故障诊断专家系统的研究与实现毕业论文外文翻译.docx

车站信号控制设备故障诊断专家系统的研究与实现毕业论文外文翻译.docx

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车站信号控制设备故障诊断专家系统的研究与实现毕业论文外文翻译

附录A　外文资料

DevelopmentofRailwayStationSignaling

ControlEquipmentFaultDiagnosisExpertSystem

Abstract

Developmentandimplementationofthestationsignalingcontrolequipmentfaultdiagnosisexpertsystemarestudiedbytheartificialintelligenceandexpertsystemmethods.Onthebasisofthecurrentsituationofstationsignalingcomputermonitoringsystem,theoverallstructureofthestationsignalingequipmentfaultdiagnosisexpertsystemisproposed,whichconsistsoftheknowledgebasesubsystem,machinereasoningsubsystem,integrateddatabasesubsystemandman-machineinterfacingsubsystem.Accordingtothetypesandcharacteristicsoffaultsareestablishedthefaultmechanismanalysismodelbasedontheprincipleoflogiccircuits,thefaultanalysismodelbasedonactualexpertknowledge,thefaultdiagnosis&trendanalysismodelbasedontheequipmentlifemechanismandthecomplexfaultdiagnosismodelbasedonthedecisiontreelearningalgorithm.Theprototypesystemisdevelopedwiththeobject-orientedstructuralknowledgerepresentationmethodsandtheelementclassificationdevelopmenttechnology,thuslayingafoundationfordevelopmentofthepracticalapplicationsystem.

Researchanddevelopmenttoensurethesafetyofrailwaytransportstationsignalequipmentmaintenancesystem.Toensuretrouble-freerailwaystationsignalequipmentingoodwork,isourcountryrailwaycurrentlyfacingamajorissue.Toimprovethemaintenancelevelofrailwaysignalsysteminourcountry,startinginthe90s,hasdevelopedtheTJWX-typeIandTJWX-2000typemicrocomputermonitoringsystem.Since2000,mostoftheelectriccentralizedstationbyusingthecomputermonitoringsystem,realizethereal-timemonitoringforstationsignalequipmentstatus，hasbeenbasicallyachievethegoalofamodernsensortechnology,fieldbus,computernetworkcommunication,databaseandsoftwareengineering,Andthroughthemainsignalmonitoringandrecordingequipmentrunningstatus,graspthecurrentstateoftheequipmentforelectricitydepartmentandaccidentanalysisprovidesthebasicscientificbasis.Butasaresultofthesystemandthereisnoperfectconditionmonitoringandfaultdiagnosisinabody'scomprehensivefunction,makesalotofcomplicatedequipmentfailureanddriving,andanalyzingthecauseoftheaccidentstillneedtorelyonartificialexperience.Soonlyontheexistingcomputermonitoringsystem,cannotmeetmodernelectricityimplementstatusmaintenancemanagementoftheoverallgoalofa"blackbox".Tothisend,theministryofrailwaysin2004putforwardtheresearchanddevelopment"railwaystationsignalequipmentfaultdiagnosisexpertsystem"project.Focusontheoverallstructureofthefaultdiagnosisexpertsystemdesign,themainmodelandthemethodoffaultdiagnosis,andtheprototypeofthesystemimplementationcontentsuchassoftwaredevelopmentwerestudied.Theprojectthroughtotherailwaystationsignalequipmentfailuremechanismanalysis,thecorrespondingfaultdiagnosismodelisestablishedandthemethod,andbyusingexpertsystemtheoryandmethodtodevelopthecorrespondingfaultdiagnosisintelligentanalysisapplicationsoftwaresystem.

A:

Theoverallstructureoftheexpertsystemforrailwaystationsignalequipmentfailure

Becauseofthecomplexityoftherailwaystationsignalsystemequipmentfailure,accordingtothebasiccompositionprincipleofexpertsystem,thedesignoftherailwaystationsignalequipmentfaultdiagnosisexpertsystemofgeneralstructure,asshown.Thisexpertsystemismainlycomposedofknowledgeacquisitionsubsystem,equipmentconditionmonitoringdataimport,subsystemsofknowledgebase,reasoningmachinesystem,integrateddatabaseandfunctionmodulessuchashuman-computerinteractioninterfacesubsystem.

1.1Knowledgeacquisitionsubsystemfunctionmodule

Themainmoduleofempiricalknowledgeandprofessionalknowledgeinthefieldofacquisition,analysisandprocessing,andotherfunctions,toprovideknowledgebaseofexpertsystemdiagnosisknowledgeandrules.Knowledgeacquisitionprocesscanbecompletedbyartificialdirectly,alsocanindirectlythroughsomeknowledgeacquisitionmethod.ThisarticleUSESthemethodoffaultdiagnosisknowledgeacquisitionmainlyincludes:

basedontheprincipleofthecircuitmodelandthelogicofthefailuremechanismofknowledgeacquisitionmethod,basedontheexperienceofthemaintenancepersonnelfaulthandlingtheactualmethodofknowledgeacquisition,knowledgeacquisitionmethodbasedonthemechanismofequipmentlife,aswellasself-learningknowledgeacquisitionmethodbasedontheexamplesofstatisticalinformation,etc.

1.2Theequipmentconditionmonitoringdataimportfunctionmodule

Themainmodulefromtherailwaystationsignalmicrocomputermonitoringsystemforvariousworkingstatusinformationofsignalequipment,providenecessarybasicdataforfaultdiagnosisexpertsystem.Itthroughtheinterfacesoftwarefordatatransformation,checkingandcomprehensivedatabaseofdataimportfunction.AtpresentourcountrymostofthestationUSESisTJWX-2000typemicrocomputermonitoringsystem,real-timemonitoringofdatainformationisclassifiedintoanalogtwoandquantityoftheswitch.Switchdatamainlyincludesthecontrolbuttonsaidequipmentoperatingstatus,theconsole（route,occlusionanddriving,shunting）ontheperformanceofthestate,thekeytoallkindsofsignalcircuitrelaystate,trainsignalmainfilamentbrokenwiresandmachineryroomenvironmentmonitoringdataoftheturntablecontrolswitchquantity.Analogdatamainlyincludespowersupplypanelofinputandoutputvoltage,current,frequency,powerandvoltagephaseAngle,theorbitoftrackcircuitvoltageoftherelay,switchmachineinactioncurrentswitchconversionprocess,thefaultcurrentandactiontime,cablecoreofinsulationvoltage,powersupplypaneloutputpowersupplyofleakagecurrent,on-sitepropertiesratherthanstuffcodedandfrequencyshiftofautomaticblocksendsthevoltage,current,frequency,carrierfrequencyandlowfrequencyandenvironmentconditions（temperature,humidity,etc.）analogmonitoringdata.

Knowledgesubsystemmodule

Themainmoduleistostoreandmanageequipmentfaultdiagnosisknowledgefromknowledgeacquisitionsubsystemmodule.Includesavarietyofdifferentfaulttypesofsignalequipmentdiagnosisknowledgeprocessingunit,forinferenceenginediagnosticanalysis,usedtosolvetheproblem.Knowledgebasemanagementfunctions,themainimplementationofknowledgeunit,sorting,access,retrieval,add,delete,modify,andotherfunctions.

Integrateddatasubsystemmodule

Integrateddatafrommainstorageandmanagementdevicestatusinformation（data）acquisitionfunctionmoduleoftheimportedequipmentactualworkingstateinformation,theexternalinputandoutputinformationfromhuman-computerinteractionmoduleandreasoningprocessofinformation,etc.Colleagueswillalsobestoreddiagnosticreasoningresultsandtheusertoquestionallkindsofresponsesystemdisplayinformation.Duetothecontentofthecomprehensivedatabaseinsystemoperationprocessisconstantlychanging,soisalsocalleddynamicdatabase.Theintegrateddatabaseinthedrivefaultdiagnosisreasoningmechanismofthefailurephenomenon,itwillalsobeactiveactionobjectasadiagnosticsystem,faultdiagnosisreasoningprocessisupandrunning.

Theman-machineinterfacesubsystemfunctionmodule

Man-machineinterfaceisthesceneequipmentmaintenancepersonnelandtheexpertsystemforinteractiveinformationwindow.Faultphenomenoninthechoicetodriveintheprocessofdiagnosisreasoningmechanismundertheconditionofthemodule'smainfunctionistoachieveavarietyoffaultdiagnosisofcategory（suchascircuitequipmentfaultdiagnosis,switchequipmentfaultdiagnosis,etc.）,complexfaultdiagnosis,faultdiagnosisresults,faultprocessinginformationprompt,faultanalysisofgraphicinformation,statisticalanalysis,equipmentconditionmonitoringdataimport,knowledgebasemaintenance,databasemaintenance,systeminitialization,andsystemhelpinformationsuchastheinteractionfunction.

Second:

Theimplementationofrailwaystationsignalequipmentfaultdiagnosisexpertsystemmethod

2.1Oflogicsimulationtechnologyonthebasisoftheprincipleofcircuitfaultmechanismanalysismethod

Actualelectricstationsignalsystemofcircuitmadeupofmillionsofelectricalcomponents,therearemanydifferentkindsoffault.For6502electriccentralizedpracticecommon22speciescausedbycircuitfailuretypes,morethan150kindsoffailurephenomenon,thisstudyestablishedamodelbasedoncircuitsimulationmechanismanalysisoffaultdiagnosisknowledgebase.Acompletecircuitisrealizedbyusingthemethodoflocatingfaultdiagnosis,needtoconstitutethestateofallcomponentsofthecircuit,andthereal-timemonitoring,itisactuallyquitedifficult.Usedintheactualsystemdevelopmentcanbesetupprocessingmethodofthedynamicdatabase,namelythemicrocomputermonitoringsystemisnotmonitoringcomponentsstatusforman-machineinteractivesettonormal,accordingtothekeyreal-timemonitoringdatatorealizefaultdiagnosis.

2.2Basedonexpertexperienceknowledgeofcircuitfaultmechanismanalysismethod

Expertknowledgeison-sitemaintenancepersonnelthroughlong-termpracticesummarizestheexperienceoftheknowledgeandmethods.Forcircuitfaultdiagnosisknowledgeofexpertexperiencemethodbasicallyhas:

diskcompressionmethod,diagnosismethod,thestepvoltage,current,voltage,diagnostics,resistancediagnosismethod,shortcir