无人机光伏巡检智能路径规划综述  

Review of Intelligent Path Planning for UA V Inspection of Solar Power Stations

作　　者：李峰 陈晨 王鑫[4] 孙梦[4] LI Feng;CHEN Chen;WANG Xin;SUN Meng

机构地区：[1]新疆维吾尔自治区计量测试研究院 [2]新疆维吾尔自治区无人机检验检测中心 [3]新疆农用无人驾驶航空器性能与安全重点实验室 [4]新疆大学

出　　处：《计量与测试技术》2024年第9期93-96,100,共5页Metrology & Measurement Technique

摘　　要：本文对智能算法在无人机光伏巡检路径规划中的应用进行梳理。介绍了有效应对复杂区域和约束条件的技术、精准细胞分解法、波前覆盖法、启发式算法、优化算法及基于深度学习的语义分割等;分析了无人机在光伏电站巡检中的优势与挑战,包括环境复杂性、传感器限制、计算资源及电池续航等问题。结果表明:该技术具有高效性、精准性和安全性,可为光伏电站的健康发展提供有力支持。This paper reviews the application of intelligent algorithm in the path planning of UAV PV inspec-tion.The techniques for dealing with complex regions and constraints,precise cell decomposition,wavefront cover-ing,heuristic algorithm,optimization algorithm and semantic segmentation based on deep learning are intro-duced.The advantages and challenges of UAV in PV power station inspection are analyzed,including environmental complexity,sensor limitation,computing resources and battery life.The results show that the technology has high ef-ficiency,precision and safety,and can provide strong support for the healthy development of photovoltaic power sta-tions.

关 键 词：无人机 路径规划 光伏巡检 智能检测 

分 类 号：TM615[电气工程—电力系统及自动化]