Computer Vision based Automatic Power Equipment Condition Monitoring and Maintenance: A Brief Review

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) Pub Date : 2020-10-01 DOI:10.1109/DCABES50732.2020.00045

Haiyang Liang, Zhongwei Li, Chunying Liu, Jian Yang, Yuhan Zhang

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引用次数: 1

Abstract

In recent years, with the progress of science and technology, network communication technology, information processing technology, artificial intelligence technology, big data technology, navigation technology, power electronics technology and other rapid development, for the development of highly intelligent with independence. The autonomous navigation technology, which integrates computer vision, artificial intelligence, sensor fusion and other disciplines, will provide technical support for the practicality and popularization of the new type of power inspection robot. On the other hand, using robots instead of manual inspection is bound to be the future development direction. Research and development of substation inspection robot with autonomous navigation ability can sense the substation road environment through its own sensor system, plan the driving route and control the vehicle to reach the predetermined destination, which can greatly improve the inspection efficiency of the robot, broaden its operation range and improve the efficiency of the robot inspection To improve its working ability, this will make the power inspection robot to the practical direction of a big step forward.

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基于计算机视觉的电力设备状态自动监测与维护综述

近年来，随着科学技术的进步，网络通信技术、信息处理技术、人工智能技术、大数据技术、导航技术、电力电子技术等快速发展，为高度智能化与自主化的发展奠定了基础。自主导航技术融合了计算机视觉、人工智能、传感器融合等多学科，将为新型电力巡检机器人的实用化和普及提供技术支撑。另一方面，用机器人代替人工检测必然是未来的发展方向。研究开发具有自主导航能力的变电站巡检机器人，通过自身的传感器系统感知变电站道路环境，规划行驶路线，控制车辆到达预定目的地，可以大大提高机器人的巡检效率，拓宽其作业范围，提高机器人巡检效率，提高其工作能力。这将使电力巡检机器人向实用化方向迈进一大步。

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2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)

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