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基于无人机巡检的配电网全景管理应用研究

Research on Application of Panoramic Management in Distribution Network Based on UAV Inspection

  • 摘要:
        目的   对于配电网日益发展及信息化需求,利用无人机代替人工进行电力设备状态巡视,提升配电网资产管理自动化程度。
        方法   基于IOS及DJI SDK开发多旋翼无人机巡视飞行控制APP,根据指定航飞规划线路自动采集全景原始数据,拼接处理后的全景影像上传至服务器,采用DFS分布式存储管理全景数据;基于Three.js构建流畅平滑的三维全景场景,实现场景漫游、热点标注、双屏对比等功能。
        结果   飞行控制APP端针对配网巡检特点开发了全景采集、精细化巡检、快速测绘等模块,解决传统巡检作业和载人直升机在电力巡检存在的诸多难点,满足电网日常巡检、故障巡检、应急抢险的需要;搭建了配电网全景管理系统,利用服务器集群管理无人机采集巡视全景数据,实现分布式存储及调取,将电网资产与巡视全景数据一体化整合管理。
        结论   提高配电网巡视影像采集作业效率,规范业务人员数据采集作业流程,管理及应用海量全景影像数据,有效提升配电网巡视信息自动化水平。

     

    Abstract:
        Introduction   Considering the increasing development of distribution network and the demand of informationization, we use UAV instead of manual means to perform power equipment inspection and improve the automation level of distribution network asset management.
        Method   Based on IOS and DJI SDK, this paper developed multi-rotor UAV patrol flight control app, automatically collected panoramic raw data according to preset flight route.Then uploaded processed panoramic image server and used DFS distributed storage to manage images. Based on Three.js, builded smooth three-dimensional panoramic scene and achieved functions like scene roaming, hotspot labeling, double-screen contrast and other functions.
        Result   The UAV control App has developed panoramic acquisition, fine inspection, rapid mapping and other modules according to the characteristics of distribution network inspection. It solved difficulties in the traditional inspection and manned helicopters in power inspection and met the needs of power grid daily inspection, fault inspection and emergency rescue. Built a distribution network panoramic management system and stored UAV inspection panoramic data in server cluster. Then intergrated and manage the gid assets and inspection panoramic data.
        Conclusion   This paper improves the efficiency of patrol image acquisition of distribution network, standardizes the data acquisition process, manages and applies massive image data and then effectively improves the automation level of information of distribution network.

     

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