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采煤机监控数据的应用研究与实现.docx

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采煤机监控数据的应用研究与实现 Title:ApplicationResearchandImplementationofShearerMonitoringData Abstract: Withtherapiddevelopmentofthemodernminingindustry,shearermachineshavebecomeessentialequipmentforcoalproduction.However,thesafeandefficientoperationofshearermachinesislargelydependentonaccuratemonitoringandanalysisofvariousparametersanddata.Thispaperfocusesontheapplicationresearchandimplementationofshearermonitoringdata,exploringitssignificance,challenges,andpotentialsolutions. 1.Introduction: 1.1Background: Theminingindustryplaysacrucialroleinmeetingglobalenergydemands,withcoalasaprimarysource.Coalminingnotonlyinvolvesvariousrisks,butalsosignificantenvironmentalimpact.Therefore,continuousmonitoringandoptimizationofcoalminingoperationsareofutmostimportance. 1.2Significance: Comprehensivemonitoringofshearermachinesoffersreal-timeinsightsintotheirperformance,allowingfortimelyidentificationofanomalies,preventionofaccidents,andoptimizationofcoalproduction.Furthermore,theanalysisofmonitoringdatafacilitatesthedevelopmentofadvancedmaintenancestrategies,decision-makingprocesses,andoveralloperationalefficiencyimprovement. 2.ParametersandDataMonitoring: 2.1ShearerMachineParameters: Someessentialparameterstomonitorincludecuttingforce,rotationalspeed,vibration,pressure,temperature,dustconcentration,airflow,andmethaneconcentration.Theseparametersprovidevaluableinformationonshearermachinehealth,performance,productivity,andsafety. 2.2DataAcquisitionandStorage: Sensor-basedmonitoringsystemsareusedtocollectreal-timedatafromshearermachines.Thisdatacanbestoredlocallyortransmittedtoacentralserverforanalysisanddecision-making.Properdatastorageandmanagementsystemsarenecessarytoensuredataintegrity,security,andaccessibility. 3.DataProcessingandAnalysis: 3.1DataPreprocessing: Rawdatacollectedfromshearermachinesoftencontainnoise,outliers,andmissingvalues.Preprocessingtechniquessuchasfiltering,outlierdetection,imputation,andnormalizationareemployedtoensuredataaccuracyandquality. 3.2DataAnalysisTechniques