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基于二维激光扫描技术的罐道检测算法
引用本文:胡文彬,吴丰,甘维兵,李盛,陈钢,艾凌云.基于二维激光扫描技术的罐道检测算法[J].红外与激光工程,2021,50(10):20200480-1-20200480-7.
作者姓名:胡文彬  吴丰  甘维兵  李盛  陈钢  艾凌云
作者单位:武汉理工大学 光纤传感技术国家工程实验室,湖北 武汉 430070
基金项目:国家自然科学基金(61875155)
摘    要:罐道在煤矿生产中发挥着重要作用,因此,必须对煤矿罐道进行安全检测,保证其形变范围在正常范围内,避免影响煤矿的安全生产。为了解决目前我国煤矿罐道检测方法中存在的精度不高,操作繁琐的问题, 研究了一种基于二维激光扫描技术的罐道检测算法,可以通过该算法计算出两根罐道之间的缝隙、错位,以及单根罐道的磨损,并将此算法写入进上位机软件中。在实验室的环境下,该算法的可重复性较好,同时在实际煤矿的实验中,该算法的识别准确率达到了62.5%,对算法进行改进后,识别率提高到了87.5%,验证了该算法具有较好的实用性与可靠性。相比于传统方法,该方法操作简单,同时具有较高的测量精度,将该方法应用于煤矿罐道检测中,将有效提高煤矿的生产安全性,具有较大的推广应用价值。

关 键 词:罐道检测    煤矿    算法    软件    激光扫描
收稿时间:2020-12-11

Detection algorithm of shaft guide based on two-dimensional laser scanning technology
Affiliation:National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan 430070, China
Abstract:The shaft guide plays an essential role in the production of the coal mine. Therefore, it is necessary to carry out a safety inspection on the shaft guide to ensure that its deformation range is within the normal range to avoid affecting the coal mine's safety production. To solve the problems of low precision and cumbersome process in the current detection methods of coal mines shaft guide in our country, a shaft guide detection algorithm based on two-dimensional laser scanning technology was studied, which could calculate the gap, misalignment between two shaft guides, and the wear of a single shaft guide, and write this algorithm into the upper computer software. In the laboratory environment, the algorithm had good repeatability. Simultaneously, in the actual coal mine experiment, the algorithm’s recognition accuracy rate reaches 62.5%; after the algorithm is improved, the recognition rate increases to 87.5%, proving that the algorithm has reasonable practicability and reliability. Compared with the traditional method, the method is simple to operate and has high measurement accuracy. This method's application in the detection of coal mine cage will effectively improve the production safety of coal mine and has great popularization and application value.
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