摘要
在“双碳”目标与新型电力系统建设背景下,人工智能大模型为电力行业的智能化转型提供关键支撑。但随着大模型应用的逐步深入,其在适配性、安全性等方面仍存在明显短板。针对这一现象,本文围绕智能巡检、安全督察与电网调度三大核心场景,梳理了大模型在电力行业的应用现状,分析了存在问题并给出了应对策略。研究显示,大模型凭借多模态感知、上下文理解等能力,显著提升了巡检精度、安全违规识别效率与调度决策优化效果,但其仍面临技术适配不足、数据安全风险、行业落地壁垒等问题。结合现有实践,从技术适配优化、数据治理保障、行业落地推进三方面进行优化能够促进电力智能化向全系统升级,从而助力构建新型电力系统。
In the context of the“dual carbon”objectives and the development of a new-type power system,artificial intelligence large models have emerged as pivotal enablers for advancing the intelligent transformation of the power industry.However,as the deployment of large models becomes more pervasive,significant shortcomings persist with respect to adaptability and security.To address these issues,this study undertakes a comprehensive exploration of three pivotal application scenarios—intelligent inspection,safety supervision,and power grid dispatching—illuminating the current status of large model integration in the power sector,analyzing existing technical and operational challenges,and proposing targeted countermeasures.The study reveals that large models markedly elevate inspection accuracy,enhance the efficiency of safety violation detection,and optimize dispatching decisions through leveraging capabilities such as multimodal perception and contextual understanding.Nevertheless,formidable challenges persist,including limited technical adaptability,risks related to data security,and barriers to industrial implementation.Based on current practices,optimization is required in three critical areas:technical adaptation,data governance and protection,and facilitation of industry deployment,to promote the comprehensive advancement of intelligent systems across the entire power sector and support the development of a new-type power system.
作者
何睿清
曹政
吴利婷
童莹
HE Ruiqing;CAO Zheng;WU Liting;TONG Ying(School of Communication and Artificial Intelligence,School of Integrated Circuits,Nanjing Institute of Technology,Nanjing 211167,China;Department of Science and Technology,Nanjing Institute of Technology,Nanjing 211167,China)
出处
《南京工程学院学报(社会科学版)》
2025年第4期20-25,共6页
Journal of Nanjing Institute of Technology(Social Science Edition)
基金
全国高等院校计算机基础教育研究会计算机基础教育教学研究项目(2024-AFCEC-079)
全国高等院校大学计算机基础与人工智能通识教育改革项目(AIGE-202405)。
关键词
大模型
人工智能
电力行业
large model
artificial intelligence
power industry
