基于机器视觉的井下猴车钢丝绳检测系统

Detection System of Steel wire of Monkey Car in Mine based on Machine Vision

井下猴车广泛采用无极钢丝绳,长期运作存在钢丝绳磨损、断裂等安全隐患,针对这一问题,提出了一种基于机器视觉的检测方法,采用边缘检测算法对CCD采集的图像进行缺陷检测,并产生报警信号传送到上位机。实验结果表明该套检测系统检测精度高,极大地解决了猴车的安全运输问题。

The steel wire is widely used in monkey car in mine.At long-term operation, danger of the steel wire wears and fracture existing in monkey car.To solve this problem, a detection method of steel wire crack based on Machine Vision is proposed.The image is acquired by CCD camera, and the crack is detected by edge detection.The alarm is occurred when crack is detected and the alarm is handed down to the upper computer.Experimental result shows that precision of the detection system is high, and solve the safe transportation problem of monkey car greatly.