大模型赋能的电力装备运行状态智能感知新模式探索OA
Exploration of Large-model-enabled IntelliSense Paradigms for Power Equipment Operation States
电力装备运行状态智能感知是支撑新型电力系统安全可靠运行的关键技术,为实现装备的预防性运维与健康状态动态评估提供核心信息.该文综述了电力装备运行状态智能感知的技术发展与研究现状,从先进传感技术、集群感知方法与人工智能学习范式3个层面系统梳理了相关研究进展,并归纳了其典型工程应用.最后,针对新型电力系统呈现的强随机、宽动态、高时变等复杂特性,分析了现有感知技术在传感性能、多模态数据融合与泛工况适应方面的不足,进而探讨了大模型赋能电力装备状态智能感知的关键技术路径,旨在为实现电力装备的状态自评估、故障自诊断与工况自适应提供参考.
IntelliSense of operation state for power equipment is a key technology underpinning the safe and reliable op-eration of new-type power systems,and it provides core information to enable real-time health-state assessment and preventive maintenance.This paper reviews the development and current status of IntelliSense technologies from three perspectives,i.e.,advanced sensing techniques,collective sensing methods,and artificial intelligence learning paradigms,and then their applications in typical engineering scenarios are also outlined.Finally,the limitations of existing technolo-gies are analyzed in terms of sensing performance,multimodal fusion,and general operating-condition adaptability,in response to the strong stochasticity,wide dynamic range,and high time variability exhibited by new-type power systems.On this basis,key technical pathways for large-model-enabled IntelliSense of operation state for power equipment are discussed.This work aims to provide technical references for enabling self-assessment,self-diagnosis,and operat-ing-condition adaptation of power equipment.
何成;王子信;周云天;贺泳霖;张传计;李红斌;程时杰
华中科技大学电气与电子工程学院,武汉 430070||强电磁技术全国重点实验室,武汉 430070华中科技大学电气与电子工程学院,武汉 430070华中科技大学电气与电子工程学院,武汉 430070华中科技大学电气与电子工程学院,武汉 430070华中科技大学电气与电子工程学院,武汉 430070||强电磁技术全国重点实验室,武汉 430070华中科技大学电气与电子工程学院,武汉 430070||强电磁技术全国重点实验室,武汉 430070华中科技大学电气与电子工程学院,武汉 430070||强电磁技术全国重点实验室,武汉 430070
电力装备智能感知先进传感技术人工智能大模型
power equipmentIntelliSenseadvanced sensing techniqueartificial intelligencelarge models
《高电压技术》 2026 (7)
3022-3039,18
国家电网有限公司科技项目(52120025002J-137-ZB).Project supported by Science and Technology Program of SGCC(52120025002J-137-ZB).
评论