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102720151034102015-3-209:11:00:Previously,analysisonthedataofpipelineenterprisefocusedonthecausality.However,intheBigDataEra,aseriesofinformationintegrations,managementprocedures,detectionrecordsandroutineoperationandmaintenancerecordsofthepipelinesystemarelinkedupbydatanetworkslikeinternetofthings(IOT)andcloudcomputing,makingthedataanalysisgraduallychangefromcausalitytonon-causalrelationship(relevance).Inthispaper,basedonstudyontheBigDataanalysismodel,itisconcludedthatBigDataanalysiswillbeoneofthemajortrendsofpipelineenterprise.Consequently,thispaperbuildsaBigDatamanagementarchitecturemodelsuitableforthefuturepipelinesystem,proposesaBigDatabasedpipelinedataalgorithmmodel,andfurtherimprovestheinlinedetectiondatamanagementmodel.Allthesemodelswereactuallyusedfordataanalysisintheaspectslikepipelineleakageandwarning,pipelinegeologicdisaster,pipelinecorrosionmanagementandpipelineinlinedetection.Integratedandglobalanalysisconclusionsrelatedtoenergyconsumptioncontrol,hazardcontrolandriskcontrolhavebeenobtained,showingthesignificancesofBigDatainthedevelopmentofpipelineindustry.(7Figures2Tables13References)Keywords:BigData,pipelinesystem,dataanalysismodel,inlinedetectiondatamanagement,corrosionmanagement[12]1028yqcy.paperopen.com2015103410[34][57][8]5IBMStephenWatt7112.5104km[9][8]122.12.211029yqcy.paperopen.comID2.32.42.51980Ohlson[10]19701976105205896.122.61981MorletFourierFourier2.7SRMSRM2.833.11030yqcy.paperopen.com2015103410GIS[11]GISCFGISCF1091BSEdfSig23.2[12]SVMSVM36.4MPa3.175~6.350mm90cm50cm0~1320103.3K-meanskkkK-means32km3810CI-Na+H2SX801BSEWalddfSig0.1400.6040.05310.8175.4851.65810.94910.0011.8880.6797.73210.0053.1841.0768.76410.0030.2830.9000.09910.754-3.2811.4844.89110.027-8.4003.1387.16710.0071.7571.0422.84110.0920.6640.6261.12410.2890.6500.5031.67010.196231031yqcy.paperopen.comK-means4V253.4GB[3]6[13]72=C1==3658===4528===2324===2743====30624561032yqcy.paperopen.com2015103410[1].[J].2014336571576.[2].[J].2015345457463.[3].[J].2015344349353.[4].[J].2014335457460.[5].[J].20123112906908911.[6].[J].2011308603607.[7].[J].20123112898902.[8].[J].2015343229232.[9].[M].2014.[10]OHLSONJ.Financialratiosandtheprobabilisticpredictionofbankruptcy[J].JournalofAccountingResearch1980181109131.[11].GIS[J].2014314114118.[12].[J].2009425465470.[13].[J].2015343233236.201508012015081619722001DONGShaohua,Ph.D,professorateseniorengineer,bornin1972,graduatedfromChinaUniversityofPetroleum(Beijing),oil&gasstorageandtransportationengineering,in2001,engagedinthetechnologicalmanagement,integritymanagementandinformationtechnologymanagementofoil&gaspipeline.Tel:01084884253,Email:shdong@petrochina.com.cn41+237GE-PIIRosenab
本文标题:基于大数据的管道系统数据分析模型及应用_董绍华
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