礦井通風瓦斯數(shù)據(jù)融合技術(shù)研究.pdf

1、論文題目：礦井通風瓦斯數(shù)據(jù)融合技術(shù)研究專業(yè)：安全技術(shù)及工程碩士生：申慶濤（簽名）＿＿＿＿＿＿指導教師：張儉讓（簽名）＿＿＿＿＿＿常心坦（簽名）＿＿＿＿＿＿摘要近年來，隨著煤礦開采深度的增加和綜采方法的應(yīng)用，井下環(huán)境安全狀況日益復雜，傳統(tǒng)的數(shù)據(jù)處理方法很難準確把握井下環(huán)境的安全狀況，將多傳感器應(yīng)用到煤礦井下環(huán)境監(jiān)測監(jiān)控系統(tǒng)是一種必然趨勢。礦井通風瓦斯監(jiān)測監(jiān)控系統(tǒng)是一個動態(tài)系統(tǒng)，監(jiān)測數(shù)據(jù)的冗余性和煤礦安全影響因素的不確定性已經(jīng)成為礦井數(shù)據(jù)處

2、理的難題。通風瓦斯數(shù)據(jù)融合技術(shù)不僅有效地降低了礦井環(huán)境安全影響因素的不確定性，而且能夠提高礦井環(huán)境安全狀況預(yù)測的可靠性。本文提出了一種二級數(shù)據(jù)融合結(jié)構(gòu)，不僅可以得到精確的礦井環(huán)境參數(shù)，而且又保證了煤礦安全一致性判斷，進而解決了監(jiān)測數(shù)據(jù)冗余性和煤礦安全影響因素的不確定性問題。二級融合模型采用了一種局部并行和整體串行的融合結(jié)構(gòu)，既解決了局部同質(zhì)監(jiān)測數(shù)據(jù)冗余性問題，又體現(xiàn)了整體異質(zhì)監(jiān)測數(shù)據(jù)的互補性。本文將數(shù)據(jù)融合理論應(yīng)用到煤礦監(jiān)測監(jiān)控系統(tǒng)中，

3、除了瓦斯?jié)舛龋饕紤]了CO濃度、溫度和風速等對煤礦安全具有影響的各種環(huán)境因素。論文首先對監(jiān)測監(jiān)控數(shù)據(jù)進行統(tǒng)計方法分析和偏最小二乘回歸分析，然后對監(jiān)測監(jiān)控數(shù)據(jù)進行自適應(yīng)加權(quán)數(shù)據(jù)融合算法的一級融合，提高了監(jiān)測數(shù)據(jù)的精度；最后采用灰色關(guān)聯(lián)分析二級融合，以瓦斯、CO、溫度、粉塵和風速的一級融合結(jié)果為輸入，以礦井環(huán)境安全等級為輸出，結(jié)合Matlab仿真技術(shù)，完成了對煤礦井下環(huán)境安全狀況的預(yù)測。本文將數(shù)據(jù)融合和控制論思想應(yīng)用于通風瓦斯監(jiān)控系統(tǒng)中，

4、在一定程度上提高了煤礦安全決策系統(tǒng)的可靠性和煤礦安全的管理水平。關(guān)鍵字：礦井；監(jiān)測監(jiān)控系統(tǒng)；數(shù)據(jù)融合；自適應(yīng)加權(quán)算法；灰色關(guān)聯(lián)分析研究類型：應(yīng)用研究Subject:StudyonDataFusionTechnologyofMineVentilationGasSpecialty:SafetyTechnologyEngineeringName:ShenQingtao(Signature)＿＿＿＿＿＿＿＿＿＿Instructs:ZhangJi

5、anrang(Signature)＿＿＿＿＿＿＿＿＿＿＿ChangXintan(Signature)＿＿＿＿＿＿＿＿＿＿ABSTRACTInrecentyearswiththeincreaseinthedepthofcoalminingtheapplicationofmechanizedminingmethodsthesecuritysituationofundergroundenvironmentiscomingcomplex.The

6、traditionaldataprocessingmethodsisdifficulttoaccuratelygraspthesecuritysituationofundergroundenvironment.themultisenssappliedtothecoalmineenvironmentmonitingsystemisaninevitabletrend.Themonitingsystemofmineventilationgas

7、isadynamicsystem.Monitingdataredundancytheuncertaintyofminesafetyinfluencingfactshasbecomeaproblemofminedataprocessing.VentilationGasdatafusiontechnologynotonlyeffectivelyreducetheuncertainlyoftheimpactfactsofmineenviron

8、mentalsafetybutalsocanimprovethepredictionreliabilityofmineenvironmentsecuritysituation.Thispaperpresentsatwoleveldatafusionstructurecannotonlygetaccuratemineenvironmentalparametersbutalsotoensureconsistencyjudgmentofcoa

9、lminesafetythensolvetheproblemofmonitingdataredundancytheuncertaintyofminesafetyinfluencingfacts.Twolevelfusionmodelusingalocalparallelserialintegrationasawholestructurecannotonlysolvelocalhomogeneitymonitingdataredundan

10、cyproblembutalsoreflectthecomplementaryoftheoverallheterogeneitymonitingdata.Inthispaperdatafusiontheyisappliedtothemonitingcontrolsystemofcoalmine.Itshouldbemainlyconsideredinadditiontothegasconcentrationtotheconcentrat

11、ionofCOtemperatureairflowspeedofvariousenvironmentalfactsbeingimpactedoncoalminesafety.Firstlystatisticalanalysispartialleastsquaresregressionanalysiscanbeappliedinthedataofmonitingcontrolsystem.thenadaptiveweighteddataf