基于神經網絡的橋梁監(jiān)測數據挖掘.pdf

1、重慶大學碩士學位論文基于神經網絡的橋梁監(jiān)測數據挖掘姓名：張鵬申請學位級別：碩士專業(yè)：計算機應用技術指導教師：李烈彪20070428重慶大學碩士學位論文英文摘要ABSTRACTAlongwiththebridgeaccidentshaveincreasedyearaReryeartheGovernmentandtheEngineeringarepayingmoreattentiontotheforgetfulmonitoringforth

2、ebridgeThebridgeisaverycomplicatedsystem，it’SdeteriorationunderthenormalcircumstancesisaslowprocessThenormalmonitoringsystemofbridgewillproducemuchdataeachdaybuttheagingandinjuryofthebridgeoftenOccurduringalongtime，SOthe

3、dataofcollectionisstupendouslyButthecommonlysystemdon’thavecapacitytoprocessingthedata(isgeneralatGBlevel)，SOitcan’tfindtheproblemswhichmaybeexistinthebridgethroughthehistoricaldatathatmuchvaluabledataisabandonedThisDiss

4、ertationtries幻usetheDataMiningtechnologybasedonneuralnetworkminingthebridgemonitoringdatafindsadataanalyticmodelofthedataobtainsthechange(fluctuate)ruleofabridgeparameterminestherelationshipbetweenthebridgeparameterInfac

5、tthestudyalsohaspracticalsignificanceonanalyzesthemonitoringdataofthebigbuildingssuchasskyscrapers、stadiums、dams、airportsetcThemaincontentinthedissertationisbasedontheDataMiningtechnologycombinedthestatusofthebridgemonit

6、oringsystem，andproposedasolutionwhichusedthecapacityoftheDataMiIIinginprocessinglargedatasetstoanalyzethedatageneratedbybridgemonitoringsystem，usedtheDataMiningtechnologybasedonneuralnetworktoanalyzethedata，processedthel

7、argeamountsofdatathatgeneratedbythebridgemonitoringsystemforalongperiod，builtupkindsofDataMiningModelThemodelare“①Clastermodel，mainlyusedformonitoringtheunconventionalityofthebridgedata，stipulateforthedata@)Associatemode

8、l，mainlyusedforfindouttheassociaterulebetweenthebridgearchitectureandenvironmentalparameters③timeseriesanalysismodel，mainlyusedforobservedthechangetrendsofthebridgemonitoringdatacomparedthechangetrendsofkindsofparameters

9、andpredictedthevalueoftheparametersThroughcontrastthetimeseriesfigureoftheparameters，wecanalsofindtherelationshipbetweenparametersUsingkindsoftheestablishedDataMiningModels，wecanjudgeandrecoglizethecnITentbridgeshealthys

10、tatusminetheusefulinformationhiddeninthedatatoenhancethebridge’ShealthThedissertationresearchresultscallgreatlyimprovetheautomationandefficiencyofthebridge’ShealthstatusassessmentButtheanalysisofthebridge’Smonitoringdata