矿井通风瓦斯数据融合技术的研究

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1、Subject:StudyonDataFusionTechnologyofMineVentilationandGasSpecialty:SafetyTechnologyandEngineeringName:ShenQingtao(Signature)＿＿＿＿＿＿Instructors:ZhangJianrang(Signature)＿＿＿＿＿＿ChangXintan(Signature)＿＿＿＿＿＿ABSTRACTInrecentyears,withtheincreaseinthedepthofcoalminingandtheapplicationofmechani

2、zedminingmethods,thesecuritysituationofundergroundenvironmentiscomingcomplex.Thetraditionaldataprocessingmethodsisdifficulttoaccuratelygraspthesecuritysituationofundergroundenvironment.Andthemulti-sensorsappliedtothecoalmineenvironmentmonitoringsystemisaninevitabletrend.Themonitoringsy

3、stemofmineventilationandgasisadynamicsystem.Monitoringdataredundancyandtheuncertaintyofminesafetyinfluencingfactorshasbecomeaproblemofminedataprocessing.VentilationandGasdatafusiontechnologynotonlyeffectivelyreducetheuncertainlyoftheimpactfactorsofmineenvironmentalsafety,butalsocanimpr

4、ovethepredictionreliabilityofmineenvironmentsecuritysituation.Thispaperpresentsatwoleveldatafusionstructurecannotonlygetaccuratemineenvironmentalparameters,butalsotoensureconsistencyjudgmentofcoalminesafety,andthensolvetheproblemofmonitoringdataredundancyandtheuncertaintyofminesafetyin

5、fluencingfactors.Twolevelfusionmodelusingalocalparallelandserialintegrationasawholestructure,cannotonlysolvelocalhomogeneitymonitoringdataredundancyproblem,butalsoreflectthecomplementaryoftheoverallheterogeneitymonitoringdata.Inthispaper,datafusiontheoryisappliedtothemonitoringcontrols

6、ystemofcoalmine.Itshouldbemainlyconsidered,inadditiontothegasconcentration,totheconcentrationofCO,temperatureandairflowspeedofvariousenvironmentalfactorsbeingimpactedoncoalminesafety.Firstly,statisticalanalysisandpartialleastsquaresregressionanalysiscanbeappliedinthedataofmonitoringcon

7、trolsystem.Andthenadaptiveweighteddatafusionalgorithmissuitableforthefirstlevelintegrationofmonitoringandcontroldatatoimprovethemonitoringdataaccuracy.Finally,grayrelationalanalysisisforthesecondaryfusion，regardingthefirstfusionresultastheinputandmineenvironmentalsecuritylevelastheou