冲击地压亚失稳状态微震定位算法及时频域特征研究

冲击地压亚失稳状态微震定位算法及时频域特征研究摘要：冲击地压作为深部煤矿工程中常见的灾害类型，对矿井的安全生产造成了严重的威胁。本论文针对冲击地压亚失稳状态下的微震信号进行了深入研究，提出了一种基于时频域特征的微震定位算法。首先，通过实际采集的微震数据，对冲击地压亚失稳状态下的微震信号的特征进行了分析，并提出了一些具有代表性的时频域特征。其次，针对微震信号中含有多条波的情况，提出了一种改进的分波方法，减小各条波之间的耦合影响。最后，通过实际数据的分析与比较，验证了该算法的有效性和可靠性。本文的研究结果对于深部煤矿工程中的冲击地压防治具有一定的指导意义。

关键词：冲击地压；亚失稳状态；微震信号；时频域特征；分波方法

Abstract:Asacommontypeofdisasterindeepcoalmineengineering,rockburstposesaseriousthreattominesafetyproduction.Inthispaper,themicroseismicsignalsunderthesub-unstablestateofrockburstweredeeplystudied,andamicroseismiclocalizationalgorithmbasedontime-frequencydomainfeatureswasproposed.Firstly,thecharacteristicsofmicroseismicsignalsunderthesub-unstablestateofrockburstwereanalyzedbasedontheactualcollectedmicroseismicdata,andsomerepresentativetime-frequencydomainfeatureswereproposed.Secondly,amodifiedwaveletdecompositionmethodwasproposedtoreducethecouplingeffectbetweendifferentwavesinthemicroseismicsignalsthatcontainmultiplewaves.Finally,theeffectivenessandreliabilityoftheproposedalgorithmwereverifiedthroughtheanalysisandcomparisonofactualdata.Theresearchresultsofthispaperhavecertainguidingsignificanceforthepreventionandcontrolofrockburstindeepcoalmineengineering.

Keywords:Rockburst;Sub-unstablestate;Microseismicsignal;Time-frequencydomainfeature;WaveletdecompositionmethoRockburstisamajorgeologicalhazardindeepcoalmineengineering,whichcancauseseriousdamagetoinfrastructureandresultinlossofproductivityandevenhumanlives.Theoccurrenceofrockburstiscloselyrelatedtothesub-unstablestateoftherockmassduringmining.Therefore,itisessentialtomonitorthemicroseismicsignalstodetecttheonsetofrockburstinadvance.

Inthisstudy,anovelapproachbasedonthetime-frequencydomainfeatureandwaveletdecompositionmethodwasproposedtoextractthewavecomponentsinmicroseismicsignals.Theproposedalgorithmcombinestheadvantagesofbothtime-frequencyanalysisandwaveletanalysis,makingitmoreeffectiveincharacterizingdifferentwavesinthemicroseismicsignals.

Tovalidatetheeffectivenessoftheproposedalgorithm,actualmicroseismicdatawereanalyzedandcompared.Theresultsshowedthattheproposedalgorithmwasabletoaccuratelyextractthewavecomponentsinthemicroseismicsignals,andidentifytheimportantfeaturesthatarecloselyrelatedtotheonsetofrockburst.Thisprovidesaneffectivewaytomonitorthesub-unstablestateoftherockmassanddetecttheonsetofrockburstinadvance,whichiscrucialforthepreventionandcontrolofrockburstindeepcoalmineengineering.

Insummary,thisstudypresentsanovelapproachtoextractthewavecomponentsinmicroseismicsignals,whichhasimportantimplicationsforthepreventionandcontrolofrockburstindeepcoalmineengineering.Furtherresearchisneededtoapplytheproposedalgorithmtoreal-timemonitoringofrockburstinthefieldAdditionally,theresearchfindingssuggestthattheuseofmicroseismicmonitoringasaproactivetechnologytodetectandpredictrockburstactivitiescanenhancethesafetyofworkersindeepcoalmineengineering.Microseismicmonitoringisanon-invasivemethodofdetectingchangesintherockmassandcanprovidevaluableinformationaboutthestabilityofthemineenvironment.Furthermore,itcanbeusedtodeterminetheintensityofrockburstsandthedistancetheyarefromtheminingactivities.Thisinformationcanthenbeusedtodevelopstrategiesforpreventingandcontrollingrockbursts.

Furtherdevelopmentofmicroseismicmonitoringtechnologyisneededinordertoenhanceitsaccuracyandeffectivenessindetectingandpredictingrockburstactivities.Thiscanbeaccomplishedthroughthedevelopmentofmoresophisticatedalgorithmsthatarecapableofanalyzinglargerdatasetsanddetectingsubtlechangesintherockmass.Additionally,theintegrationofmicroseismicmonitoringtechnologywithothertechnologiessuchasgroundpenetratingradarandlaserscanningcanprovideamorecomprehensiveassessmentofthestabilityofthemineenvironment.

Inconclusion,theapplicationofmicroseismicmonitoringtechnologyhassignificantimplicationsforthepreventionandcontrolofrockburstindeepcoalmineengineering.Itprovidesaproactiveapproachtodetectingandpredictingrockbursts,whichcouldreducetheriskofinjuryordeathtoworkers.Movingforward,furtherresearchanddevelopmentofmicroseismicmonitoringtechnologymustbeprioritizedtoenhanceitsaccuracyandeffectivenessindetectingandpredictingtheonsetofrockburstactivitiesindeepcoalmineengineeringAshighlightedabove,microseismicmonitoringtechnologyhasgreatpotentialinpreventingandcontrollingrockburstactivitiesindeepcoalmineengineering.However,thereisstillroomforimprovement,particularlyinenhancingtheaccuracyandeffectivenessofthistechnology.Inthissection,wewilldiscusssomeofthewaysinwhichthiscanbeachieved.

Firstly,itisimportanttooptimizetheplacementandarrangementofmonitoringinstruments.Thiscanhelptoensurethattheentirerockmassiscoveredandthatthesignalspickeduparerepresentativeoftheentiresystem.Additionally,itisimportanttoensurethatsufficientspacingismaintainedbetweenthemonitoringinstrumentsandthattheyarelocatedinstableareastominimizethepotentialimpactofrockburstactivitiesontheinstrumentsthemselves.

Secondly,thereisaneedtoimprovedataanalysisandinterpretationtechniques.Currently,microseismicmonitoringdataisoftenanalyzedusingsimplethreshold-basedtechniques,whichcanleadtofalse-positiveresults.Advancedstatisticaltechniques,suchasmachinelearningalgorithms,canbeusedtobetteranalyzeandinterpretthedata.Thiscanhelptoidentifymeaningfulpatternsandtrendsinthedata,whichcanbeusedtopredicttheonsetofrockburstactivitiesmoreaccurately.

Thirdly,itisimportanttoimprovethereliabilityandrobustnessofthemonitoringinstrumentsandtheassociateddataacquisitionsystems.Thiscanbeachievedthroughtheuseofhigh-qualitymaterials,improveddesign,andregularmaintenanceandcalibration.Additionally,itmaybebeneficialtoincorporateredundancyintothemonitoringsystemtoensurethatdataisnotlostintheeventofafailure.

Finally,itisimportanttocontinuetoinvestinresearchanddevelopmenttoenhancemicroseismicmonitoringtechnology.Thiscaninvolvethedevelopmentofnewmonitoringinstrumentsthataremoresensitiveandaccurate,aswellasimproveddataanalysisandinterpretationtechniques.Additionally,itmaybenecessarytoa