智慧矿山中氧气瓶与乙炔气瓶距离监测技术的实现  

The realization of distance detection technology of oxygen cylinder and acetylene cylinder in smart mines

作　　者：李淑佳 王月明[1] 张昊 LI Shujia;WANG Yueming;ZHANG Hao(Information Engineering School,Inner Mongolia University of Science and Technology,Baotou 014010,China)

机构地区：[1]内蒙古科技大学信息工程学院,内蒙古包头014010

出　　处：《内蒙古科技大学学报》2024年第1期57-61,共5页Journal of Inner Mongolia University of Science and Technology

基　　金：内蒙古自治区自然科学基金(2020MS06008);内蒙古自治区关键技术攻关项目(2021GG0045)。

摘　　要：智慧矿山检修区内氧气瓶与乙炔气瓶距离过近易造成严重安全事故,针对氧气瓶与乙炔气瓶距离预警依靠人工检查效率较低的问题,提出一种单目视频下氧气瓶与乙炔气瓶安全距离监测方法。该方法基于改进的DeepLabv3+语义分割模型对氧气瓶与乙炔气瓶图像进行分割处理,根据氧气瓶与乙炔气瓶自标定后计算得到监测距离,最终构建实时安全预警的算法,对智慧矿山中不合规场景进行报警处理。结果表明,当氧气瓶与乙炔气瓶实际间距分别为350,450,550cm条件下,目标算法测试结果的平均误差分别为2.37%,4.93%5.18%。这种方法的实际应用提高了单目视觉下氧气瓶与乙炔气瓶距离的自动监测效率,降低了人力成本,避免发生安全事故。In view of the low efficiency of manual inspection of oxygen cylinder distance,early warning of oxygen cylinder and acety-lene cylinder in the maintenance area of smart mine,a safety distance detection method for oxygen cylinder and acetylene cylinder un-der monocular video was proposed.Based on the improved DeepLabv3+semantic segmentation models,this method segments the ima-ges of oxygen cylinder and acetylene cylinder,calculates the monitor distances according to the oxygen cylinder and acetylene cylinder after calibration and finally constructs a real-time safety warning algorithm to handle the alarm of oxygen cylinder and acetylene cylinder in smart mines.The results show that when the actual distance between oxygen cylinder and acetylene cylinder is 350 cm,450 cm and 550 cm,the average errors of the target algorithm test results is 2.37%,4.93%and 5.18%,respectively.The practical application of this method can improve the automatic monitoring efficiency of the distance between oxygen cylinder and acetylene cylinder under monocular vision,reduces labor costs and avoid safety accidents.

关 键 词：氧气瓶 乙炔气瓶 图像分割 单目测距 安全预警 

分 类 号：TD76[矿业工程—矿井通风与安全]