高电压技术2026，Vol.52Issue(7)：3022-3039,18.DOI:10.13336/j.1003-6520.hve.20260171
大模型赋能的电力装备运行状态智能感知新模式探索
Exploration of Large-model-enabled IntelliSense Paradigms for Power Equipment Operation States
摘要
Abstract
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.关键词
电力装备/智能感知/先进传感技术/人工智能/大模型Key words
power equipment/IntelliSense/advanced sensing technique/artificial intelligence/large models引用本文复制引用
何成,王子信,周云天,贺泳霖,张传计,李红斌,程时杰..大模型赋能的电力装备运行状态智能感知新模式探索[J].高电压技术,2026,52(7):3022-3039,18.基金项目
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). （52120025002J-137-ZB）
