新型电力系统中电力设备健康管理与智能运维关键技术探究

新型电力系统中电力设备健康管理与智能运维关键技术探究一、本文概述Overviewofthisarticle随着全球能源结构的转型和可持续发展目标的推进，新型电力系统在能源互联网中的地位日益凸显。新型电力系统以其清洁、高效、智能的特点，正逐步成为未来能源体系的核心组成部分。然而，随着电力系统的复杂性和规模不断扩大，电力设备的健康管理和智能运维成为保障系统安全、稳定、经济运行的关键环节。Withthetransformationoftheglobalenergystructureandtheadvancementofthegoalofsustainabledevelopment,thepositionofnewpowersystemsintheenergyInternethasbecomeincreasinglyprominent.Thenewpowersystem,withitsclean,efficient,andintelligentcharacteristics,isgraduallybecomingacorecomponentofthefutureenergysystem.However,withtheincreasingcomplexityandscaleofthepowersystem,thehealthmanagementandintelligentoperationandmaintenanceofpowerequipmenthavebecomekeylinksinensuringsystemsafety,stability,andeconomicoperation.本文旨在探讨新型电力系统中电力设备健康管理与智能运维的关键技术。通过对现有研究和实践的综述，分析当前电力设备健康管理与智能运维面临的主要挑战和关键技术问题。结合新型电力系统的特点，探讨适用于新型电力系统的电力设备健康管理与智能运维技术体系，为提升电力系统的运维效率和安全性提供理论支持和实践指导。Thisarticleaimstoexplorethekeytechnologiesofhealthmanagementandintelligentoperationandmaintenanceofpowerequipmentinthenewpowersystem.Throughareviewofexistingresearchandpractice,analyzethemainchallengesandkeytechnicalissuesfacedbycurrentpowerequipmenthealthmanagementandintelligentoperationandmaintenance.Basedonthecharacteristicsofthenewpowersystem,thispaperexploresthepowerequipmenthealthmanagementandintelligentoperationandmaintenancetechnologysystemapplicabletothenewpowersystem,providingtheoreticalsupportandpracticalguidanceforimprovingtheoperationandmaintenanceefficiencyandsafetyofthepowersystem.本文的研究不仅有助于推动新型电力系统中电力设备健康管理与智能运维技术的发展，还可为相关领域的学者和从业者提供有益的参考和启示，促进电力系统的智能化和可持续发展。Thisstudynotonlyhelpstopromotethedevelopmentofhealthmanagementandintelligentoperationandmaintenancetechnologyforpowerequipmentinnewpowersystems,butalsoprovidesusefulreferenceandinspirationforscholarsandpractitionersinrelatedfields,promotingtheintelligenceandsustainabledevelopmentofpowersystems.二、新型电力系统概述OverviewofNewPowerSystems随着全球能源结构转型和环保要求的日益严格，新型电力系统正在逐步取代传统的电力系统，成为未来能源发展的主要方向。新型电力系统，以可再生能源的大规模接入和高效利用为核心，以数字化、信息化和智能化为重要手段，致力于构建一个安全、高效、清洁、低碳的电力供应体系。Withtheglobalenergystructuretransformationandincreasinglystringentenvironmentalrequirements,newpowersystemsaregraduallyreplacingtraditionalpowersystemsandbecomingthemaindirectionoffutureenergydevelopment.Thenewpowersystem,withthelarge-scaleintegrationandefficientutilizationofrenewableenergyasitscore,anddigitalization,informatization,andintelligenceasimportantmeans,iscommittedtobuildingasafe,efficient,clean,andlow-carbonpowersupplysystem.可再生能源占比高：新型电力系统通过大力发展风能、太阳能等可再生能源，显著提高了其在电力供应中的占比，从而有效减少了对化石能源的依赖和环境污染。Highproportionofrenewableenergy:Thenewpowersystemhassignificantlyincreaseditsproportioninthepowersupplybyvigorouslydevelopingrenewableenergysourcessuchaswindandsolarenergy,therebyeffectivelyreducingdependenceonfossilfuelsandenvironmentalpollution.数字化和智能化水平高：新型电力系统通过应用物联网、大数据、云计算等现代信息技术，实现了电力系统的全面数字化和智能化，提高了电力系统的运行效率和安全性。Highlevelofdigitalizationandintelligence:ThenewpowersystemhasachievedcomprehensivedigitalizationandintelligenceofthepowersystemthroughtheapplicationofmoderninformationtechnologiessuchastheInternetofThings,bigdata,andcloudcomputing,improvingtheoperationalefficiencyandsecurityofthepowersystem.电网结构灵活：新型电力系统采用先进的电力电子技术和灵活的电网结构，可以更好地适应可再生能源的接入和电力负荷的变化，保证电力系统的稳定运行。Flexiblepowergridstructure:Thenewpowersystemadoptsadvancedpowerelectronictechnologyandflexiblepowergridstructure,whichcanbetteradapttotheaccessofrenewableenergyandchangesinpowerload,ensuringthestableoperationofthepowersystem.电力市场开放：新型电力系统鼓励并推动电力市场的开放和竞争，通过市场机制优化电力资源配置，提高电力供应的效率和质量。Openelectricitymarket:Thenewpowersystemencouragesandpromotestheopeningandcompetitionoftheelectricitymarket,optimizestheallocationofelectricityresourcesthroughmarketmechanisms,andimprovestheefficiencyandqualityofelectricitysupply.在新型电力系统的建设和运行过程中，电力设备的健康管理和智能运维成为了关键的一环。通过应用先进的健康管理技术和智能运维手段，可以有效地提高电力设备的运行效率和可靠性，保证电力系统的稳定运行和电力供应的连续性。因此，研究和探索新型电力系统中电力设备健康管理与智能运维的关键技术，对于推动新型电力系统的发展具有重要的现实意义和价值。Intheconstructionandoperationofthenewpowersystem,thehealthmanagementandintelligentoperationandmaintenanceofpowerequipmenthavebecomeacrucialpart.Byapplyingadvancedhealthmanagementtechnologyandintelligentoperationandmaintenancemethods,theoperationalefficiencyandreliabilityofpowerequipmentcanbeeffectivelyimproved,ensuringthestableoperationofthepowersystemandthecontinuityofpowersupply.Therefore,studyingandexploringthekeytechnologiesforhealthmanagementandintelligentoperationandmaintenanceofpowerequipmentinthenewpowersystemhasimportantpracticalsignificanceandvalueforpromotingthedevelopmentofthenewpowersystem.三、电力设备健康管理技术Healthmanagementtechnologyforpowerequipment随着新型电力系统的不断发展，电力设备健康管理技术成为了保障系统稳定运行的关键环节。电力设备健康管理技术主要包括状态监测、故障诊断、预测性维护以及健康管理策略制定等方面。Withthecontinuousdevelopmentofnewpowersystems,powerequipmenthealthmanagementtechnologyhasbecomeakeylinkinensuringthestableoperationofthesystem.Thehealthmanagementtechnologyofpowerequipmentmainlyincludesstatusmonitoring,faultdiagnosis,predictivemaintenance,andtheformulationofhealthmanagementstrategies.状态监测是电力设备健康管理的基础。通过采用先进的传感器技术和数据处理技术，实时监测电力设备的运行状态，收集各类运行数据，为后续的故障诊断和预测性维护提供基础数据支持。Statemonitoringisthefoundationofpowerequipmenthealthmanagement.Byadoptingadvancedsensortechnologyanddataprocessingtechnology,real-timemonitoringoftheoperatingstatusofpowerequipment,collectingvariousoperationaldata,andprovidingbasicdatasupportforsubsequentfaultdiagnosisandpredictivemaintenance.故障诊断技术则是根据收集到的运行数据，利用机器学习、深度学习等人工智能算法，对设备的运行状态进行智能分析，识别潜在的故障模式，并给出故障预警和故障定位。这不仅可以提前发现设备故障，减少非计划性停机时间，还可以为后续的预测性维护提供决策支持。Faultdiagnosistechnologyisbasedoncollectedoperationaldata,usingartificialintelligencealgorithmssuchasmachinelearninganddeeplearningtointelligentlyanalyzetheoperationalstatusofequipment,identifypotentialfaultmodes,andprovidefaultwarningsandfaultlocalization.Thiscannotonlydetectequipmentfailuresinadvance,reduceunplanneddowntime,butalsoprovidedecisionsupportforsubsequentpredictivemaintenance.预测性维护则是基于故障诊断的结果，结合设备的历史运行数据和维护记录，利用预测模型对设备的未来运行状态进行预测，提前制定出维护计划，实现设备的预防性维护。预测性维护不仅可以降低设备的维护成本，提高设备的运行效率，还可以有效延长设备的使用寿命。Predictivemaintenanceisbasedontheresultsoffaultdiagnosis,combinedwiththehistoricaloperatingdataandmaintenancerecordsofequipment,usingpredictivemodelstopredictthefutureoperatingstatusofequipment,developmaintenanceplansinadvance,andachievepreventivemaintenanceofequipment.Predictivemaintenancecannotonlyreducemaintenancecostsandimproveoperationalefficiencyofequipment,butalsoeffectivelyextenditsservicelife.健康管理策略制定则是根据电力设备的特点和运行需求，综合考虑状态监测、故障诊断和预测性维护的结果，制定出符合设备实际情况的健康管理策略。这包括设备的定期巡检计划、维护计划、更换计划等，确保电力设备在新型电力系统中能够稳定运行，为电力系统的安全、可靠运行提供有力保障。Theformulationofhealthmanagementstrategiesisbasedonthecharacteristicsandoperationalneedsofpowerequipment,takingintoaccounttheresultsofstatemonitoring,faultdiagnosis,andpredictivemaintenance,todevelophealthmanagementstrategiesthatareinlinewiththeactualsituationoftheequipment.Thisincludesregularinspectionplans,maintenanceplans,replacementplans,etc.,toensurethestableoperationofpowerequipmentinthenewpowersystemandprovidestrongguaranteesforthesafeandreliableoperationofthepowersystem.电力设备健康管理技术是新型电力系统中不可或缺的一环。通过实施状态监测、故障诊断、预测性维护以及健康管理策略制定等技术手段，可以有效提升电力设备的健康管理水平，保障电力系统的稳定运行，为新型电力系统的发展提供有力支撑。Thehealthmanagementtechnologyofpowerequipmentisanindispensablepartofthenewpowersystem.Byimplementingtechnicalmeanssuchasstatusmonitoring,faultdiagnosis,predictivemaintenance,andhealthmanagementstrategyformulation,thehealthmanagementlevelofpowerequipmentcanbeeffectivelyimproved,ensuringthestableoperationofthepowersystemandprovidingstrongsupportforthedevelopmentofnewpowersystems.四、智能运维技术Intelligentoperationandmaintenancetechnology随着新型电力系统的快速发展，传统的电力设备运维方式已无法满足现代电网对安全、高效、环保的要求。因此，智能运维技术的出现，为新型电力系统的健康管理提供了有力的技术支撑。智能运维技术通过集成大数据、云计算、物联网等先进技术，实现了电力设备状态监测、故障诊断、预测性维护等功能的智能化，大大提高了电力设备运维的效率和准确性。Withtherapiddevelopmentofnewpowersystems,traditionalpowerequipmentoperationandmaintenancemethodscannolongermeettherequirementsofmodernpowergridsforsafety,efficiency,andenvironmentalprotection.Therefore,theemergenceofintelligentoperationandmaintenancetechnologyprovidesstrongtechnicalsupportforthehealthmanagementofnewpowersystems.Intelligentoperationandmaintenancetechnologyintegratesadvancedtechnologiessuchasbigdata,cloudcomputing,andtheInternetofThingstoachieveintelligentfunctionssuchaspowerequipmentstatusmonitoring,faultdiagnosis,andpredictivemaintenance,greatlyimprovingtheefficiencyandaccuracyofpowerequipmentoperationandmaintenance.在智能运维技术中，状态监测是关键的一环。通过安装各类传感器和采集设备，可以实时监测电力设备的运行状态，获取设备温度、压力、振动、电流等关键参数，为后续的故障诊断和预测性维护提供数据支持。同时，基于大数据分析和云计算技术，可以对这些海量数据进行高效处理和分析，挖掘出设备运行规律，为运维人员提供决策支持。Inintelligentoperationandmaintenancetechnology,statusmonitoringisacrucialpart.Byinstallingvarioussensorsandcollectiondevices,theoperatingstatusofpowerequipmentcanbemonitoredinrealtime,andkeyparameterssuchastemperature,pressure,vibration,andcurrentcanbeobtained,providingdatasupportforsubsequentfaultdiagnosisandpredictivemaintenance.Atthesametime,basedonbigdataanalysisandcloudcomputingtechnology,thesemassiveamountsofdatacanbeefficientlyprocessedandanalyzed,miningequipmentoperationpatternsandprovidingdecisionsupportforoperationandmaintenancepersonnel.故障诊断是智能运维技术的核心。通过运用人工智能算法，如深度学习、神经网络等，可以对采集到的设备数据进行智能分析，自动识别设备故障类型和原因，为运维人员提供准确的故障定位和解决方案。这不仅可以大大减少运维人员的工作量和时间成本，还可以提高故障处理的准确性和效率。Faultdiagnosisisthecoreofintelligentoperationandmaintenancetechnology.Byusingartificialintelligencealgorithmssuchasdeeplearningandneuralnetworks,thecollectedequipmentdatacanbeintelligentlyanalyzed,automaticallyidentifyingthetypesandcausesofequipmentfailures,andprovidingaccuratefaultlocationandsolutionsforoperationandmaintenancepersonnel.Thiscannotonlygreatlyreducetheworkloadandtimecostofoperationandmaintenancepersonnel,butalsoimprovetheaccuracyandefficiencyoffaulthandling.预测性维护是智能运维技术的另一重要应用。通过对设备历史数据和实时数据的分析，可以预测设备的未来运行状态和可能出现的故障，从而提前制定维护计划，避免设备故障对电力系统运行的影响。这种预测性维护的方式不仅可以提高设备的可靠性和使用寿命，还可以降低维护成本和减少停机时间。Predictivemaintenanceisanotherimportantapplicationofintelligentoperationandmaintenancetechnology.Byanalyzingthehistoricalandreal-timedataofequipment,itispossibletopredictthefutureoperatingstatusandpossiblefaultsoftheequipment,therebyformulatingmaintenanceplansinadvanceandavoidingtheimpactofequipmentfailuresontheoperationofthepowersystem.Thispredictivemaintenanceapproachcannotonlyimprovethereliabilityandservicelifeofequipment,butalsoreducemaintenancecostsanddowntime.智能运维技术为新型电力系统的健康管理和运维工作带来了巨大的变革和进步。通过集成先进的大数据、云计算、物联网等技术，智能运维技术可以实现电力设备状态监测、故障诊断、预测性维护等功能的智能化，提高电力设备运维的效率和准确性，为新型电力系统的安全、高效、环保运行提供有力保障。未来，随着技术的不断发展和创新，智能运维技术将在新型电力系统中发挥更加重要的作用，为电力行业的发展注入新的动力。Intelligentoperationandmaintenancetechnologyhasbroughttremendouschangesandprogresstothehealthmanagementandoperationofnewpowersystems.Byintegratingadvancedtechnologiessuchasbigdata,cloudcomputing,andtheInternetofThings,intelligentoperationandmaintenancetechnologycanachieveintelligentfunctionssuchasstatusmonitoring,faultdiagnosis,andpredictivemaintenanceofpowerequipment,improvetheefficiencyandaccuracyofpowerequipmentoperationandmaintenance,andprovidestrongguaranteesforthesafe,efficient,andenvironmentallyfriendlyoperationofnewpowersystems.Inthefuture,withthecontinuousdevelopmentandinnovationoftechnology,intelligentoperationandmaintenancetechnologywillplayamoreimportantroleinthenewpowersystem,injectingnewimpetusintothedevelopmentofthepowerindustry.五、电力设备健康管理与智能运维的集成应用Integratedapplicationofhealthmanagementandintelligentoperationandmaintenanceofpowerequipment随着新型电力系统的不断发展和智能化水平的提升，电力设备健康管理与智能运维的集成应用已成为行业内的必然趋势。这种集成应用不仅能够提升电力设备的管理效率，降低运维成本，还能确保电力系统的稳定运行和安全供电。Withthecontinuousdevelopmentofnewpowersystemsandtheimprovementofintelligencelevel,theintegratedapplicationofpowerequipmenthealthmanagementandintelligentoperationandmaintenancehasbecomeaninevitabletrendintheindustry.Thisintegratedapplicationcannotonlyimprovethemanagementefficiencyofpowerequipment,reduceoperationandmaintenancecosts,butalsoensurethestableoperationandsafepowersupplyofthepowersystem.集成应用的核心在于构建一个统高效的电力设备管理平台。该平台应具备实时监控、状态评估、故障诊断、预测性维护等功能，实现对电力设备健康状态的全面掌控。通过集成先进的传感器技术、大数据分析、云计算等技术手段，可以实现对电力设备运行状态的实时监测和数据分析，为运维人员提供决策支持。Thecoreofintegratedapplicationsliesinbuildingaunifiedandefficientpowerequipmentmanagementplatform.Theplatformshouldhavereal-timemonitoring,statusevaluation,faultdiagnosis,predictivemaintenanceandotherfunctionstoachievecomprehensivecontrolofthehealthstatusofpowerequipment.Byintegratingadvancedsensortechnology,bigdataanalysis,cloudcomputingandothertechnologicalmeans,real-timemonitoringanddataanalysisoftheoperationstatusofpowerequipmentcanbeachieved,providingdecisionsupportforoperationandmaintenancepersonnel.在智能运维方面，集成应用能够实现对电力设备维护流程的自动化和智能化。通过智能化的维护计划制定、工单管理、维护作业指导等功能，可以大大提高维护工作的效率和质量。同时，结合物联网技术和移动应用，可以实现维护人员与设备之间的实时互动，提升现场作业的便捷性和安全性。Intermsofintelligentoperationandmaintenance,integratedapplicationscanachieveautomationandintelligenceinthemaintenanceprocessofpowerequipment.Throughintelligentmaintenanceplanformulation,workordermanagement,maintenanceoperationguidanceandotherfunctions,theefficiencyandqualityofmaintenanceworkcanbegreatlyimproved.Atthesametime,combiningIoTtechnologyandmobileapplicationscanachievereal-timeinteractionbetweenmaintenancepersonnelanddevices,improvingtheconvenienceandsafetyofon-siteoperations.集成应用还能够促进电力设备健康管理与智能运维之间的信息互通与共享。通过构建统一的数据标准和信息共享机制，可以实现不同系统之间的数据交换和协同工作，为电力设备的全生命周期管理提供有力支撑。Integratedapplicationscanalsopromoteinformationexchangeandsharingbetweenpowerequipmenthealthmanagementandintelligentoperationandmaintenance.Byestablishingunifieddatastandardsandinformationsharingmechanisms,dataexchangeandcollaborativeworkbetweendifferentsystemscanbeachieved,providingstrongsupportforthefulllifecyclemanagementofpowerequipment.电力设备健康管理与智能运维的集成应用是新型电力系统发展的重要方向之一。通过构建统一的管理平台、实现智能化的运维流程、促进信息互通与共享，可以推动电力设备管理工作的转型升级，为电力系统的安全稳定运行提供有力保障。Theintegratedapplicationofhealthmanagementandintelligentoperationandmaintenanceofpowerequipmentisoneoftheimportantdirectionsforthedevelopmentofnewpowersystems.Bybuildingaunifiedmanagementplatform,implementingintelligentoperationandmaintenanceprocesses,andpromotinginformationexchangeandsharing,thetransformationandupgradingofpowerequipmentmanagementcanbepromoted,providingstrongguaranteesforthesafeandstableoperationofthepowersystem.六、案例分析Caseanalysis为了进一步验证新型电力系统中电力设备健康管理与智能运维关键技术的实际效果，本研究选取了一个典型的电力系统案例进行深入分析。Inordertofurtherverifythepracticaleffectivenessofkeytechnologiesforhealthmanagementandintelligentoperationandmaintenanceofpowerequipmentinthenewpowersystem,thisstudyselectedatypicalpowersystemcaseforin-depthanalysis.案例背景是位于某经济发达地区的省级电网公司，该公司面临着设备种类繁多、运维压力巨大、安全性要求高等多重挑战。为此，该公司决定采用新型电力设备健康管理与智能运维技术来提升运维效率和设备可靠性。Thebackgroundofthecaseisaprovincial-levelpowergridcompanylocatedinadevelopedeconomicregion,whichisfacingmultiplechallengessuchasawidevarietyofequipment,enormousoperationandmaintenancepressure,andhighsafetyrequirements.Therefore,thecompanyhasdecidedtoadoptnewpowerequipmenthealthmanagementandintelligentoperationandmaintenancetechnologiestoimproveoperationandmaintenanceefficiencyandequipmentreliability.在实施过程中，该公司首先利用先进的传感器技术和数据分析算法，对电力设备进行了全面的状态监测与评估。通过实时监测设备的运行数据，结合历史数据和专家经验，构建了一套智能诊断模型，能够准确识别设备的潜在故障和风险点。Duringtheimplementationprocess,thecompanyfirstutilizedadvancedsensortechnologyanddataanalysisalgorithmstocomprehensivelymonitorandevaluatethestatusofpowerequipment.Asetofintelligentdiagnosticmodelshasbeenconstructedbyreal-timemonitoringofequipmentoperationdata,combininghistoricaldataandexpertexperience,whichcanaccuratelyidentifypotentialfaultsandriskpointsofequipment.同时，该公司还引入了智能巡检机器人和无人机等先进技术，对设备进行定期的自动巡检和红外测温，大大减少了人工巡检的工作量和误差。通过智能化的数据分析，运维人员能够及时发现设备异常，并提前制定维修计划，避免了传统运维模式中的盲目性和滞后性。Atthesametime,thecompanyhasalsointroducedadvancedtechnologiessuchasintelligentinspectionrobotsanddronestoconductregularautomaticinspectionsandinfraredtemperaturemeasurementofequipment,greatlyreducingtheworkloadanderrorsofmanualinspections.Throughintelligentdataanalysis,operationandmaintenancepersonnelcantimelydetectequipmentabnormalitiesanddevelopmaintenanceplansinadvance,avoidingtheblindnessandlagintraditionaloperationandmaintenancemodes.在智能运维系统的支持下，该公司还实现了设备的远程监控和故障预警，能够在设备故障发生前提前进行干预和修复，显著提高了设备的可靠性和运行效率。智能运维系统还能够对设备的运行数据进行深度挖掘和分析，为公司的决策提供有力支持。Withthesupportofintelligentoperationandmaintenancesystems,thecompanyhasalsoachievedremotemonitoringandfaultwarningofequipment,whichcaninterveneandrepairequipmentinadvancebeforeitmalfunctions,significantlyimprovingthereliabilityandoperationalefficiencyoftheequipment.Theintelligentoperationandmaintenancesystemcanalsodeeplymineandanalyzetheoperationaldataofdevices,providingstrongsupportforthecompany'sdecision-making.通过本案例的分析，可以看出新型电力系统中电力设备健康管理与智能运维关键技术的实施，不仅提高了电力系统的运维效率和设备可靠性，还有效降低了运维成本和风险。这对于推动新型电力系统的发展，保障电力系统的安全稳定运行具有重要意义。Throughtheanalysisofthiscase,itcanbeseenthattheimplementationofkeytechnologiesforhealthmanagementandintelligentoperationandmaintenanceofpowerequipmentinthenewpowersystemnotonlyimprovestheefficiencyandreliabilityofpowersystemoperationandmaintenance,butalsoeffectivelyreducesoperationandmaintenancecostsandrisks.Thisisofgreatsignificanceforpromotingthedevelopmentofnewpowersystemsandensuringthesafeandstableoperationofthepowersystem.七、结论与展望ConclusionandOutlook本文深入探讨了新型电力系统中电力设备健康管理与智能运维关键技术的相关问题。通过对当前电力设备健康管理现状的分析，结合新型电力系统的特点，本文提出了一系列针对电力设备健康管理与智能运维的关键技术。这些技术涵盖了状态监测与评估、故障诊断与预测、运维优化与决策支持等方面，为新型电力系统的安全、可靠、高效运行提供了有力支撑。Thisarticledelvesintotherelevantissuesofkeytechnologiesforhealthmanagementandintelligentoperationandmaintenanceofpowerequipmentinthenewpowersystem.Byanalyzingthecurrentstatusofhealthmanagementofpowerequipmentandcombiningwiththecharacteristicsofthenewpowersystem,thisarticleproposesaseriesofkeytechnologiesforhealthmanagementandintelligentoperationandmaintenanceofpowerequipment.Thesetechnologiescoveraspectssuchasstatemonitoringandevaluation,faultdiagnosisandprediction,operationandmaintenanceoptimization,anddecisionsupport,providingstrongsupportforthesafe,reliable,andefficientoperationofnewpowersystems.在电力设备状态监测与评估方面，本文研究了基于物联网和大数据技术的实时监测方法，实现了对电力设备运行状态的全面感知和准确评估。在故障诊断与预测方面，本文利用机器学习、深度学习等人工智能算法，构建了高精度的故障诊断模型和预测模型，有效提高了电力设备故