摘要
近年来,随着煤矿井下少人、无人化进程的推进,机器视觉技术得到越来越多的应用。分析了机器视觉技术应用于强力输送带故障检测的现状与问题,详述了视觉测量用于煤机装备的位姿检测与参数测量的现状与关键问题,展望了机器视觉技术的发展方向以及在煤矿井下得到实际应用需突破的关键技术。
In recent years,with the advancement of less people and unmanned underground coal mine,machine vision technology has been more and more applied.Analyzed the current situation and problems of machine vision technology in fault detection of powerful conveyor belt,elaborated the status and key problems of visual measurement used in coal machinery equipment position detection and parameter measurement.Looked forward to the development direction of machine vision technology and the key technologies to be broken through in practical application of coal mine.
作者
张凯
田原
贾曲
Zhang Kai;Tian Yuan;Jia Qu(China Coal Research Institute,Beijing 100013,China;Taiyuan Research Institute,China Coal Technology and Engineering Group,Taiyuan 030006,China;Shanxi Tiandi Coal Mining Machinery Co.,Ltd.,Taiyuan 030006,China)
出处
《煤矿机械》
北大核心
2020年第12期123-125,共3页
Coal Mine Machinery
基金
山西省青年科技研究基金项目(201901D211592)。
关键词
机器视觉
煤机装备
检测与测量
无人化煤矿
machine vision
coal machinery equipment
detection and measurement
unmanned coal mine
