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摘要
输电线路弧垂是衡量导线运行状态的核心参数,其异常变化会直接导致导线对地距离不足、机械应力超限,甚至引发舞动、断线等严重事故。传统人工巡检与离线测量方法存在效率低、实时性差、数据滞后等问题,难以满足智能电网对状态感知与主动运维的需求。随着物联网、人工智能及多源数据融合技术的发展,输电线路弧垂在线监测技术逐渐成为研究热点。本文先是详细分析了输电线路弧垂形成机理与影响因素,随后具体阐述了弧垂在线监测方法分类与原理,紧接着提出了关键技术挑战与解决方案,最后举出了典型应用场景并进行了案分析,以期为相关研究提供有益参考与借鉴。
Abstract
Transmission line sag, a critical parameter for assessing conductor performance, can directly cause insufficient conductor-to-ground clearance, mechanical stress exceeding limits, and even severe incidents like conductor dancing or line breaks. Traditional manual inspections and offline measurements suffer from inefficiency, poor real-time performance, and data lag, failing to meet smart grid requirements for condition awareness and proactive maintenance. With advancements in IoT, AI, and multi-source data fusion technologies, online sag monitoring has emerged as a research hotspot. This paper first analyzes the formation mechanisms and influencing factors of transmission line sag, then details the classification and principles of online monitoring methods, followed by key technical challenges and solutions. Finally, it presents typical application scenarios and case studies to provide valuable references for related research.
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徐晟.
输电线路弧垂在线监测方法[J].
科技创新与工程, 2025, 2(12): 25-27 DOI:10.12349/tie.v2i12.8713
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