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首页> 外文期刊>Journal of Robotic Systems >Method of operating a GIS-based autopilot drone to inspect ultrahigh voltage power lines and its field tests
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Method of operating a GIS-based autopilot drone to inspect ultrahigh voltage power lines and its field tests

机译:操作基于GIS的自动驾驶无人机检查超高压电力线的方法及其现场测试

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The drone-based inspection process on power transmission lines needs to be automated due to the large scale of power facilities and the limited line of sight available to drone pilots. Through the task environment analysis, however, it was found that the steel tower structure and energized AC power conductors may cause GPS signal distortion and magnetic interference with a drone's geomagnetic sensor, respectively. These factors could seriously affect the drone's autopilot flight, at worst leading to a crash. To enable drone inspections to be performed in a safe and efficient manner, this paper presents the entire process of operating an autopilot inspection drone on the basis of GPS and GIS information in a hazardous ultrahigh voltage environment, and its application results in the field. This process includes how to measure GPS co-ordinates of steel towers and how to generate an autopilot flight path. More specifically, the paper examines the potential problems that may occur when drones are applied to areas located in mountains and rivers where humans cannot inspect power lines due to a lack of accessibility, and proposes effective solutions to these practical issues.
机译:由于大型的电力设施和无人机驾驶员的视线有限,因此需要对电力传输线上的无人机检查过程进行自动化。然而,通过任务环境分析,发现钢塔结构和通电的交流电源线可能分别导致GPS信号失真和对无人机地磁传感器的电磁干扰。这些因素可能会严重影响无人机的自动驾驶飞行,最坏的情况是导致坠毁。为了使无人机检查能够安全有效地进行,本文介绍了在危险的超高压环境中基于GPS和GIS信息操作自动驾驶检查无人机的整个过程,并介绍了其在现场的应用结果。该过程包括如何测量钢塔的GPS坐标以及如何生成自动驾驶飞行路径。更具体地说,本文研究了将无人机应用到位于山区和河流地区的地区时可能出现的潜在问题,这些地区由于缺乏可达性而使人无法检查电源线,并提出了针对这些实际问题的有效解决方案。

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