通过对现有电力设备巡检系统进行分析并结合实际巡检工作中存在的问题,构建三维路径模型并设计末端路径自学习导航算法.提出了一种电力设备智能巡检系统,并设计系统配套的移动巡检终端嵌入式软件和服务器端配套软件.基于多种地形、地貌对自学习导航算法进行仿真,证明算法具有较高的自学习精度及良好性能,可实现对不同地理环境下末端路径的自学习、记录与导航,同时对系统进行实验,验证其可行性、有效性和合理性.%Combined with current situation of power system inspection system and existing problems in practical work,a threedimensional path model is constructed and end-path self-learning navigation algorithm is designed.An intelligent power equipment inspection system is proposed.The embedded mobile patrol terminal and server-side supporting software are developed.Based on simulation results of multiple topography and landform samples,the high accuracy and good performance of proposed algorithm is proved.The proposed method can realize self-learning,recording and navigation of terminal path in different geographical environment.Finally,the system experiment is carried out to verify feasibility,validity and rationality of proposed algorithm.
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