| 面向电网巡检的多旋翼无人机航测系统关键技术研究及应用 |
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| 引用本文： | 汤坚,杨骥,宫煦利.面向电网巡检的多旋翼无人机航测系统关键技术研究及应用[J].测绘通报,2017,0(5):67-70. |
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| 作者姓名： | 汤坚 杨骥 宫煦利 |
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| 作者单位： | 1. 中国能源建设集团广东省电力设计研究院有限公司, 广东 广州 510663;2. 广州地理研究所, 广东 广州 510070 |
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| 基金项目： | 2017年广州市产学研协同创新重大专项，2015年广东省水利科技创新项目 |
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| 摘 要： | 针对无人机电力巡检所面临的定位精度低、近距离巡检操控难度大、自动化程度低、人为操控事故风险高等问题，本文提出了利用多旋翼无人机RTK差分定位技术、复杂塔型飞行规则机器学习算法等无人机航测系统技术，研发面向电网巡检的无人机智能操作系统及控制终端，提升电网线路日常管理和应急指挥的规范性、便利性和经济性，为电网管理部门提供一种低成本、易操作、高效率、机动灵活的新型巡检模式。
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| 关 键 词： | 电网巡检 RTK差分定位 机器学习算法 无人机智能操作系统 |
| 收稿时间： | 2017-03-28 |
Multi-rotor UAV Aerial Survey Technology for Power Grid Inspection:Research and Application |
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| TANG Jian,YANG Ji,GONG Xuli.Multi-rotor UAV Aerial Survey Technology for Power Grid Inspection:Research and Application[J].Bulletin of Surveying and Mapping,2017,0(5):67-70. |
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| Authors: | TANG Jian YANG Ji GONG Xuli |
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| Institution: | 1. China Energy Engineering Group Guangdong Electric Power Design Institute Co. Ltd., Guangzhou 510663, China;2. Guangzhou Institute of Geography, Guangzhou 510070, China |
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| Abstract: | To solve the problems of low positioning precision,difficult control in close inspection,low automation,high risk of man-made control of UAVs power inspection,this paper proposed a multi-rotor UAV RTK differential positioning technology,and machine learning algorithm of UAV Aerial Survey flight rules planning in complex electric tower inspection.Based on this research,it developed a UAV intelligent operating system and control terminals which greatly improved the quality of the normative daily management and emergency command of power network with high convenience and efficiency.The system could provide the low costs,easy operation,high efficiency and mobility new power inspection mode for the power grid management department. |
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| Keywords: | power grid inspection RTK differential positioning machine learning algorithm UAV intelligent operation system |
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