预览加载中，请您耐心等待几秒...

基于贝叶斯理论的城市管网故障检测模型.docx

预览
1/3
2/3
3/3

在线预览结束，喜欢就下载吧，查找使用更方便

下载提示 文本预览

如果您无法下载资料，请参考说明：

1、部分资料下载需要金币，请确保您的账户上有足够的金币

2、已购买过的文档，再次下载不重复扣费

3、资料包下载后请先用软件解压，在使用对应软件打开

基于贝叶斯理论的城市管网故障检测模型 Abstract Citypipenetworkisanimportantinfrastructureinurbanareas.Oncethepipenetworkfails,itmaycausewatersupplyinterruption,waterpollution,andotherproblemsthatmayhaveanegativeimpactonresidents’dailylivesandthecity'seconomicdevelopment.However,traditionalmonitoringmethodscannotguaranteethetimelyidentificationoffaultsinthepipenetwork.Inthispaper,weproposeaBayesian-basedmodelforcitypipenetworkfaultdetection.Withthismodel,wecanidentifyfaultsinthepipenetworkthroughmonitoringsensors,dataacquisition,andanalysis.Themodelcaneffectivelyimprovetheefficiencyandaccuracyofcitypipenetworkfaultdetection. Introduction Citypipenetworkisanessentialinfrastructurethatprovidesconvenienceforpeople'slives.Thepipenetworkinvolvesdifferenttypesofpipesthatneedtotransportwaterandothermaterialsacrossthecity.Watersupplyanddrainagesystemsarethemostimportantpipesinthecity,andanyfaultsinthesepipesmayleadtowatershortagesorwaterpollution.Traditionally,citypipenetworkfaultdetectionhasdependedonmanualdetection.Thistypeofdetectionmethodrequireshighlaborcostsandispronetohumanerrors,leadingtothelatedetectionoffaultsinthepipenetwork. Inrecentyears,withthedevelopmentofsensortechnology,dataacquisitionandanalysistechnology,wecanmonitorthecitypipenetworkinreal-timeandobtainvariousindicatorsthatmayindicatefaultsoccurringinthepipenetwork.Afailuredetectionmodelbasedontheseindicatorswillhelptoimprovetheefficiencyandaccuracyofcitypipenetworkfaultdetection. Bayesian-basedCityPipeNetworkFaultDetectionModel Bayesian-basedcitypipenetworkfaultdetectionmodelisestablishedbasedontheBayesiantheorythatbelievesthatfailureisanuncertaineventandusesprobabilitiestodescribethisuncertainty.Themodelconsistsofthreelayers:sensorlayer,dataacquisitionlayer,andanalysislayer. SensorLayer Thesensorlayerinvolvesplacingsensorsindifferentpartsofthecitypipenetworktodetectthephysicalindicatorsofthepipenetwork.Theseindicatorscanbeanyphysicalquantitiesthatmayreflectthefaultoccurrenceofthepipenetwork.Forexample,waterpressure,temper