基于博弈论的变电站巡检机器人路径规划

Shaojing Wang, Tao He, Hui Sheng, Peng Xu, Yiping Ji
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引用次数: 0

摘要

巡检机器人在变电站越来越受欢迎。然而,由于场景复杂,测温点多,巡检机器人路径生成仍然是一个挑战。本文提出了一种基于博弈论的方法来解决这一问题。首先对变电站、机器人和环境因素进行了有效合理的建模。然后利用粗糙选择和基于博弈论的细化步骤生成最佳停车点集。在不同条件下的实验表明,我们的方法在射击距离、角度、停车点数量和检查完成率等方面都明显优于人工和相关模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Game Theory based Inspection Robots Path Planning in Substations
Inspection robots are more and more popular in substations. However, due to the complex scene and large number of temperature measurement points, inspection robots path generation is still a challenge. In this paper, a game-theory-based method is proposed to solve this problem. We first model the substation, robots and environment factors in an effective and reasonable way. Then the algorithm including rough selection and game-theory-based refinement steps is utilized to generate the best set of parking points. Experiments under different conditions show that our method is much better than manual work and related model in the aspects of shooting distance, angle, number of parking points and inspection completion rate.
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