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电力大数据:2019,22(11):-
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基于车辆与步行轨迹数据挖掘的输电线路巡视路径规划研究
秦威南, 徐飞明, 陈安, 赵俊杰, 何小平, 马阳晓, 左立刚
(国网金华供电公司)
Research on Path Planning of Transmission Line Inspection Based on Data Mining of Vehicle and Walking Trajectory
QIN Weinan, XU Feiming, CHEN An, ZHAO Junjie, HE Xiaoping, MA Yangxiao, ZUO Ligang
(Jinhua Electricity Bureau)
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投稿时间:2019-06-26    修订日期:2019-08-04
中文摘要: 为解决近年来输电线路规模日益扩大,巡视人员扩充不足导致的人均线路维护量过高、巡视质量下降、巡视路径规划欠佳、出行车辆安排不够合理等问题,确保电网安全稳定运行。本文基于PMS2.0系统中的杆塔台账数据、国网统一车辆管理平台中的车行轨迹数据、PDA移动手持终端记录的巡视人员步行轨迹数据等,结合导航电子地图(离线版),挖掘出各数据之间存在的关联性、耦合性,深入分析人员的巡视习惯,建立了最优规划路径计算模型,实现了对目标杆塔自动导航寻路功能,并通过现场验证,提高了线路巡视效率;在此基础上,将班组所辖线路进行网格划分,优化了周期巡视计划和特殊区域巡视计划。研究结果可为提高线路巡视计划灵活性、规划合理巡视路径、安排出行车辆提供强有力的决策依据。
Abstract:In order to solve the problems caused by the increasing scale of transmission lines and the insufficient expansion of inspectors in recent years, such as the excessive per capita line maintenance, the deterioration of inspection quality, the inadequate planning of inspection paths and the unreasonable arrangement of travel vehicles, etc., to ensure the safe and stable operation of the power grid. This paper based on the pole and tower data of PMS2.0 system, the vehicle trajectory data of national network unified vehicle management platform and the pedestrian trajectory data recorded by PDA mobile handheld terminal, and combined with the navigation electronic map (offline version), this paper excavates the correlation and coupling among the data, deeply analyses the patrol habits of personnel, establishes the optimal planning path calculation model, and realizes the goal-to-object. The benchmarking tower''s automatic navigation and path-finding function improves the efficiency of line patrol through field verification; the line under the control of the team is meshed, and the periodic patrol plan and the special area patrol plan are optimized. The research results can provide strong decision-making basis for improving the flexibility of route inspection plan, planning reasonable route and arranging travel vehicles.
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