基于机器视觉与激光融合的刚性罐道故障定位技术  

Rigid Tank Path Fault Location Technology Based on Machine Vision and Laser Fusion

作　　者：马天兵[1,2] 吴强 王鑫泉 王孝东[1] 刘健 MA Tianbing;WU Qiang;WANG Xinquan;WANG Xiaodong;LIU Jian(School of Mechanical Engineering,Anhui University of Science and Technology,Huainan 232001,China;Anhui Key Laboratory of Mine Intelligent Equipment and Technology,Anhui University of Science&Technology,Huainan 232001,China)

机构地区：[1]安徽理工大学机械工程学院,安徽淮南232001 [2]安徽理工大学矿山智能装备与技术安徽省重点实验室,安徽淮南232001

出　　处：《煤矿安全》2020年第1期134-137,共4页Safety in Coal Mines

基　　金：国家自然科学基金资助项目(51305003);安徽省博士后基金资助项目(2017B172);安徽省高校自然科学研究重大资助项目(KJ2015ZD19)

摘　　要：提出了一种基于机器视觉与激光融合的多方向矿井刚性罐道变形诊断及其定位方法。使用CCD相机、激光发射器、荧光屏、LabVIEW软件和PC组成变形诊断及其定位系统实时采集荧光屏上的光斑图像,对采集的光斑图像进行图像增强、阈值分割、图像匹配跟踪和像素质心计算等处理;在PC监控界面显示罐道情况及位置。本方法对台阶凸起高度的识别度达到88.43%,台阶凸起的长度识别度高达99.15%,深度识别率高达99.52%。试验证明该技术能实时准确地诊断矿井刚性罐道变形并快速地进行定位。We proposed a multi-directional mine rigid tank deformation diagnosis and location method based on machine vision and laser fusion. We used CCD camera, laser, screen, LabVIEW software and PC deformation diagnosis and real-time positioning system to collect light spot image on the screen, carried out image enhancement, threshold segmentation, image matching and tracking, pixel centroid calculation and other processes for the collected spot image, displayed the status and position of tank channel on the PC monitoring interface. The recognition degree of the step bulge height is 88.43%, the length recognition degree of the step bulge is as high as 99.15%, and the depth recognition rate is as high as 99.52%. The experiment proves that the technology can accurately diagnose the deformation of the rigid tank channel in the mine and locate it quickly.

关 键 词：矿井提升 刚性罐道 变形诊断 故障定位 机器视觉 

分 类 号：TD676[矿业工程—矿山机电]