The invention discloses a power distribution network inspection method and system based on an unmanned aerial vehicle, and belongs to the technical field of power distribution network inspection. Comprising the following steps: acquiring geographic parameters of an inspection area, and acquiring an optimal inspection route based on a genetic algorithm according to the geographic parameters; performing simulation modeling and analysis on the power distribution network inspection area, obtaining an electric field safety threshold and a magnetic field safety threshold, correcting the optimal inspection route, transmitting the corrected inspection route to a control platform, collecting multi-angle equipment images of the to-be-inspected equipment area according to the corrected inspection route, and sending the multi-angle equipment images to the control platform. Judging whether a structure defect exists in the equipment image or not; and according to the identification result, extracting position information and transmitting the position information to a control platform so as to collect an infrared image according to the position information and confirm the structure defect type of the equipment. The inspection range is reduced, the safety of the unmanned aerial vehicle is ensured while the energy consumption is reduced and the efficiency is improved, and the inspection efficiency is improved; the problem that in the prior art, the inspection efficiency of an unmanned aerial vehicle is low is solved.
本发明公开了基于无人机的配电网巡检方法及系统,属于配电网巡检技术领域。包括获取巡检区域的地理参数,根据地理参数,基于遗传算法,获取最优巡检航线;对配电网巡检区域进行仿真建模并分析,获取电场安全阈值和磁场安全阈值,并对最优巡检航线进行修正,将修正后的巡检航线传输至控制平台,以根据修正后的巡检航线采集待巡检设备区域的多角度的设备影像,判断设备影像中是否存在结构缺陷;根据识别结果,提取位置信息并传输至控制平台,以根据位置信息,采集红外影像,并确认设备的结构缺陷类型。缩小了巡检范围,在降低能耗、提高效率的同时保证无人机的安全性,提高巡检效率;解决了现有技术中存在“无人机巡检效率低下”的问题。
Power distribution network inspection method and system based on unmanned aerial vehicle
基于无人机的配电网巡检方法及系统
2023-10-17
Patent
Electronic Resource
Chinese
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