Research on binocular stereo vision based on interactive channel and its application in power intelligent emergency repair

Bian Minjie, zheng qinan, Chen Cheng
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Abstract

Recently, the whole society has had higher and higher requirements for the stable operation of the power system, and the safety of power production is directly related to people's daily life order and the development of the national economy. How to build a power system security framework to repair problems in the power system in a timely manner, and how to improve the accuracy of remote live work while improving work efficiency have become the main needs of the development of the power industry. In the practical application scenario of power repair, this paper obtains the target coordinates through the line laser scanning binocular stereo vision technology of the interactive channel and completes the preparations for the binocular stereo vision including image preprocessing, camera calibration, and stereo correction. The stereo vision algorithm is used to improve the efficiency of electric power intelligent emergency repair operations, and the advantages of binocular stereo vision algorithm in the application of electric power emergency repair are illustrated by comparing the accuracy of different algorithms through experiments.
基于交互通道的双目立体视觉及其在电力智能抢修中的应用研究
近年来,全社会对电力系统的稳定运行提出了越来越高的要求,而电力生产的安全直接关系到人们的日常生活秩序和国民经济的发展。如何构建电力系统安全框架,及时修复电力系统中出现的问题,如何在提高工作效率的同时提高远程带电工作的准确性,已成为电力行业发展的主要需求。在电力维修的实际应用场景中,本文通过交互通道的直线激光扫描双目立体视觉技术获取目标坐标,完成双目立体视觉的图像预处理、摄像机标定、立体校正等准备工作。利用立体视觉算法提高电力智能应急抢修作业效率,通过实验对比不同算法的精度,说明双目立体视觉算法在电力应急抢修应用中的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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