选矿智能摇床图像处理开发与应用

Development and Application of Image Processing of the Intelligent Shaker for Mineral Processing

为实现摇床的实时监测和自动调整接矿板的位置,采用机器视觉技术采集摇床实时矿带照片,研究了实时矿带图像识别算法,开发了摇床实时图像监测智能设备。工业试验表明,摇床实时图像监测智能设备能够自动采集矿带图片,图像识别算法实现了对摇床矿带带宽、矿带边界和矿带颜色特征的数字化解析,实现根据矿带变化实时自动调节接矿板的位置。该设备提升了选矿的各项指标,降低了人工成本。

For purpose of realizing real-time monitoring of the shaker and automatically adjusting the position of ore connecting plates,the real-time ore belt photos of the shaker were collected by using machine vision technologies,and the real-time ore belt image recognition algorithm was studied,including the development of intelligent equipment for real-time image monitoring of the shaker.The industrial testing shows that,the shaker’s real-time image monitoring intelligent device can auto-collect ore bed images,and the image recognition algorithm can realize digital analysis of the shaking ore belt width,the ore belt and the ore belt color features,including auto-regulating position of the ore-connecting plates at real time according to the ore belt changes.This device can improve the indexes of mineral processing and reduce the labor cost.