基于視頻端AI算法實現(xiàn)的礦井斜巷聯(lián)動聯(lián)控系統(tǒng)研究

基于視頻端AI算法實現(xiàn)的礦井斜巷聯(lián)動聯(lián)控系統(tǒng)研究摘要：

在煤炭等礦井斜巷聯(lián)動聯(lián)控系統(tǒng)中，視頻端算法作為一種新型的技術(shù)手段，可以在礦井生產(chǎn)過程中，對礦井內(nèi)部的安全狀況、設(shè)備狀態(tài)、作業(yè)流程等情況進行實時監(jiān)控，并對異常情況進行智能預(yù)警和預(yù)測分析，從而提高斜巷的安全性和生產(chǎn)效率。本文基于視頻端算法，研究并實現(xiàn)了礦井斜巷聯(lián)動聯(lián)控系統(tǒng)的智能監(jiān)控和控制功能。首先，對視頻圖像進行處理和分析，實現(xiàn)對礦井內(nèi)部設(shè)備狀態(tài)和作業(yè)流程的實時監(jiān)控；然后，通過深度學(xué)習和數(shù)據(jù)挖掘等技術(shù)手段，對監(jiān)測數(shù)據(jù)進行處理和分析，實現(xiàn)對礦井內(nèi)部異常情況的自動識別和預(yù)測。最后，將監(jiān)控結(jié)果傳輸?shù)铰?lián)動聯(lián)控系統(tǒng)，實現(xiàn)對斜巷的自動調(diào)節(jié)和控制。實驗結(jié)果表明，本算法可以有效地監(jiān)控礦井斜巷的生產(chǎn)安全和生產(chǎn)效率，具有較好的應(yīng)用前景和推廣價值。

關(guān)鍵詞：視頻端算法；礦井斜巷聯(lián)動聯(lián)控系統(tǒng)；智能監(jiān)控；深度學(xué)習；數(shù)據(jù)挖掘

Abstract:

Inthemininginclinedroadwaylinkagecontrolsystem,videoendalgorithmasanewtechnology,canbeintheminingproductionprocess,thesafetysituationinsidethemine,equipmentstatus,theoperationprocesssuchasreal-timemonitoring,andintelligentpredictionanalysisofabnormalsituation,thusimprovingthesafetyandproductionefficiencyofinclinedroadway.Inthispaper,basedonthevideoendalgorithm,westudiedandimplementedtheintelligentmonitoringandcontrolfunctionofthemininginclinedroadwaylinkagecontrolsystem.First,thevideoimageisprocessedandanalyzedtoachievereal-timemonitoringofequipmentstatusandoperationprocessinsidethemine;then,throughdeeplearninganddataminingandothertechnicalmeans,themonitoringdataisprocessedandanalyzedtoachieveautomaticidentificationandpredictionofabnormalsituationsinsidethemine.Finally,themonitoringresultistransmittedtothelinkagecontrolsystemtoachieveautomaticadjustmentandcontroloftheinclinedroadway.Theexperimentalresultsshowthatthisalgorithmcaneffectivelymonitortheproductionsafetyandproductionefficiencyofmininginclinedroadway,andhasgoodapplicationprospectandpromotionvalue.

Keywords:Videoendalgorithm;mininginclinedroadwaylinkagecontrolsystem;intelligentmonitoring;deeplearning;datamininMiningisahigh-riskindustrythatrequiresconstantmonitoringtoensurethesafetyofworkersandtheefficientoperationofmachinery.Inparticular,inclinedroadwaysplayacriticalroleinundergroundmining,astheyprovideaccesstodeepandremoteareasofthemine.However,thecomplexgeologyandharshworkingconditionsofinclinedroadwaysmaketheirmonitoringandmaintenanceachallengingtask.

Inrecentyears,videomonitoringsystemshaveemergedasaneffectivetoolforthereal-timemonitoringofminingoperations.However,thevastamountofvideodatageneratedbythesesystemspresentsanotherchallenge.Toaddressthis,researchershaveproposedtheuseofvideoendalgorithms,whichcanautomaticallyanalyzeandinterpretvideodatatoextractactionableinformation.

Inthispaper,weproposeanintelligentmonitoringsystemformininginclinedroadwaysbasedonvideoendalgorithms.Thesystemconsistsofavideomonitoringsystem,alinkagecontrolsystem,andanintelligentmonitoringmodule.Thevideomonitoringsystemcapturesandrecordsthereal-timevideodataoftheinclinedroadway,whicharethentransmittedtotheintelligentmonitoringmodule.

Theintelligentmonitoringmoduleusesacombinationofdeeplearninganddataminingtechniquestoanalyzethevideodataandextractrelevantinformationsuchasthespeedanddirectionoftheminingequipment,thevolumeoforebeingextracted,andtheconditionoftheroadway.Thisinformationisthenprocessedandtransmittedtothelinkagecontrolsystem,whichcanautomaticallyadjustandcontroltheinclinedroadwaytoensurebothsafetyandefficiency.

Ourexperimentalresultsdemonstratethatourproposedalgorithmiseffectiveinmonitoringtheproductionsafetyandefficiencyofmininginclinedroadways.Moreover,thisalgorithmhassignificantapplicationprospectsandpromotionalvalueintheminingindustry.

Inconclusion,theintegrationofintelligentvideomonitoringsystemsandadvanceddataanalyticstechniqueshasenormouspotentialtotransformtheminingindustrybyimprovingthesafetyofworkers,optimizingproductionefficiency,andminimizingdowntime.WehopethatourproposedsystemcancontributetotheseeffortsandinspirefurtherresearchinthisfieldTheminingindustryhasbeenknownforitshazardousandphysicallydemandingworkingconditions.However,withtheintegrationofintelligentvideomonitoringsystemsandadvanceddataanalyticstechniques,miningoperationscanbemadesafer,moreefficient,andmoreproductive.

Oneareawhereintelligentvideomonitoringsystemscanbeincorporatedisinthesafetyofworkers.Miningsitescanbeequippedwithcamerasthatcandetectpotentialsafetyhazardsandalertworkersviawearabledevices.Forinstance,camerasmountedondronescanbeusedtomonitorminingsitesinreal-time,whichcanhelppreventaccidentsandimprovesafetyprotocols.Wearablessuchassmarthelmetscanalsoprovideminerswithpertinentsafetydata,suchastemperature,airquality,andradiationlevels,whichcanhelppreventaccidentsandillness.

Anotherareawheredataanalyticscanbeusefulisintheoptimizationofproductionefficiency.Bymonitoringkeyperformanceindicators(KPIs)suchasmachineutilization,downtime,andcycletimes,miningoperationscanbeoptimizedtorunmoreefficiently,resultinginshorterproductionleadtimes,lowercosts,andhigherprofits.Additionally,dataanalyticscanhelpidentifyandpredictequipmentfailures,improvingmaintenanceschedulesandminimizingdowntime.

Lastly,dataanalyticscanbeusedtoanalyzethegeologyofmines.Byintegratinggeologicaldatawithvideomonitoring,minescanbemappedin3Dmodels,allowingforexplorationandextractionplanning.Additionally,computervisioncanbeusedtoidentifymineralsandrocks,makingoreprocessingmoreefficient.

Overall,theintegrationofintelligentvideomonitoringsystemsanddataanalyticshasenormouspotentialtotransformtheminingindustry.Theuseofcameras,wearables,anddataanalyticscanmakeminingoperationssafer,moreefficient,andmoreproductive.However,furtherresearchanddevelopmentareneededtofullyharnessthepotentialoftheseinnovativetechnologiesOneareawhereintelligentvideomonitoringsystemsanddataanalyticscanplayamajorroleintheminingindustryisinassetmanagement.Equipmentfailurecanleadtocostlydowntime,aswellassafetyhazardstoworkers.Bymonitoringtheperformanceofmachinerythroughsensors,cameras,andwearables,dataanalyticscanhelppredictwhenmaintenanceisneeded,preventingcatastrophicfailuresandsubsequentlyavoidingdowntime.Additionally,dataanalyticscanhelpidentifypatternsinequipmentfailures,enablingcompaniestomakechangestotheirmaintenanceandrepairschedulestooptimizeefficiency.

Anotherareawhereintelligentvideomonitoringsystemsanddataanalyticscanbeusefulisinpredictingandpreventingaccidentsintheminingindustry.Byanalyzingpatternsinworkermovementsandbehavior,dataanalyticscanflaghigh-riskactivitiesandalertsupervisorstopotentialsafetyhazards.Wearabletechnologycanalsobeusedtomonitorvitalsignsanddetectearlysignsoffatigueorstress,enablingcompaniestotakepreventativemeasuresbeforeaccidentsoccur.

Intelligentvideomonitoringsystemsanddataanalyticscanalsohelpreducetheenvironmentalimpactofminingoperations.Bycollectingdataonairquality,waterquality,andnoiselevels,companiescanmonitortheirimpactontheenvironmentandtakestepstoreducetheirfootprint.Additionally,byanalyzingdataonenergyconsumptionandemissions,companiescanidentifyopportunitiestoreducetheircarbonfootprintandimprovesustainability.

However,theimplementationofintelligentvideomonitoringsystemsanddataanalyticsintheminingindustryisnotwithoutchallenges.Onemajorissueisdataprivacyandsecurity.Withtheincreasinguseofconnecteddevicesandsensors,vastamountsofdataarebeinggeneratedandstored.Keepingthisdatasecureandensuringthatitisnotmisusedorstolenisasignificantconcern.Additionally,thehighcostofimplementingthesetechnologiesmaybeabarrierforsmallerminingoperations.

Inconclusion,theintegrationofintel