基于机器视觉与激光融合的刚性罐道故障定位技术

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。

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

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.