基建现场巡检无人机智能感知系统的研究与应用
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(1.国网邯郸供电公司,河北 邯郸 056000;2.国网洛阳供电公司,河南 洛阳 471000)

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国家自然科学基金(60673072)


Research and application of intelligent perception system for unmanned aerial vehicle inspection at construction site
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(1. State Grid Handan Power Supply Company, Handan 056000, China;2. State Grid Luoyang Power Supply Company, Luoyang 471000, China)

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    摘要:

    为了解决当前基建现场管控工作具有检查项多、内容复杂、参与方多、时间跨度大、问题发生不规律以及基建现场通信条件较差或无通信信号的问题,构建了基于无人机巡检的智能感知系统。利用无人机充当基建现场巡检智能感知监测系统的“信息采集器”,与由3G/4G通信网络、微波通信网络、激光通信装置组成的“信息传输网络”相结合,构建基建现场巡检智能感知监测系统,以达到基建现场远程实时视频、图像、温度、湿度、地理位置采集等一系列功能,并可定期进行远程安全检查。实验测试结果表明,该系统能够较好地监测基建的施工过程,对促进施工规范化、保障施工安全具有重要意义。

    Abstract:

    In order to solve the problem that the current infrastructure construction and control work has many inspection items, complex content, many participants, large time span, irregular problems, and poor communication conditions on the infrastructure site or no communication signals, an intelligent sensing system based on Unmanned Aerial Vehicle (UAV) inspection is constructed in this paper. It uses UAV to act as the "information collector" of the intelligent sensing monitoring system of the construction site inspection, and combines the "information transmission network" composed of the 3G/4G communication network, the microwave communication network and the laser communication device to construct the intelligent sensing monitoring system for the inspection of the infrastructure on site. Remote security checks can be performed on a regular basis. The experimental test results show that the system can monitor the construction process of the infrastructure well, which is of great significance to promote the standardization of construction and ensure the safety of construction. This work is supported by National Natural Science Foundation of China (No. 60673072).

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刘勇,陈海滨,刘方.基建现场巡检无人机智能感知系统的研究与应用[J].电力系统保护与控制,2018,46(15):155-161.[LIU Yong, CHEN Haibin, LIU Fang. Research and application of intelligent perception system for unmanned aerial vehicle inspection at construction site[J]. Power System Protection and Control,2018,V46(15):155-161]

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  • 收稿日期:2018-01-03
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  • 在线发布日期: 2018-08-01
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