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一种环境自适应的光纤传感网络自修复方法 Title:EnvironmentallyAdaptiveFiberOpticSensorNetworkSelf-HealingMethod Abstract: Fiberopticsensornetworksplayacriticalroleinvariousapplications,suchasstructuralhealthmonitoringandenvironmentalsensing.However,thesenetworksarevulnerabletovariousenvironmentalfactors,suchasphysicaldamage,temperaturechanges,andsignalinterference.Toensurethereliabilityandeffectivenessofthesensornetwork,aself-healingmethodthatcanadapttotheenvironmentisnecessary.Thispaperpresentsacomprehensiveoverviewofenvironmentallyadaptivefiberopticsensornetworkself-healingmethods,includingfaultdetection,faultlocalization,andfaultrecoverytechniques.Furthermore,wediscussthechallengesandfutureresearchdirectionsinthisfield. Introduction: Fiberopticsensornetworkshavegainedsignificantattentionduetotheiruniqueadvantages,suchashighsensitivity,immunitytoelectromagneticinterference,anddistributedsensingcapability.However,thedeploymentofthesenetworksinharshanddynamicenvironmentsposeschallengestotheirlong-termreliability.Environmentalfactorssuchasphysicaldamage,temperaturevariations,andexternalperturbationscanleadtofiberbreakage,signalloss,orperformancedegradation.Inresponsetothesechallenges,developingaself-healingmechanismthatcanadapttotheenvironmentbecomescrucial. 1.FaultDetection: Thefirststepintheself-healingprocessistodetectandidentifyfaultswithinthefiberopticsensornetwork.Variousfaultdetectiontechniqueshavebeenproposed,suchasOpticalTimeDomainReflectometry(OTDR),Brillouinscattering-baseddistributedstrainsensing,andpolarization-baseddetectionmethods.Thesetechniquesprovidereal-timemonitoringandidentifypossiblefaults,enablingpromptactionfortimelyrepairs. 2.FaultLocalization: Oncethefaultisdetected,thenextstepistopreciselylocatethefaultwithinthenetwork.Localizationtechniquesutilizeadvancedalgorithmsandsignalprocessingmethodstodeterminetheexactlocationofthefault.Time-Difference-of-Arrival(TDOA),frequency-domainanalysis,anddistributedreflectometryalgorithmsarecommonlyemployedtoachieveaccuratefaul

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