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。
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.
出处
《测绘通报》
CSCD
北大核心
2017年第5期67-70,共4页
Bulletin of Surveying and Mapping
基金
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
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
power grid inspection
RTK differential positioning
machine learning algorithm
UAV intelligent operation system
