Speaker
摘要
全球矿产的品位越来越低，传统选矿方式带来环境污染和成本高升的困境。智能选矿技术利用物理的方法，对矿石进行预富集，这种方法逐渐被矿山企业认同。该报告围绕半生复杂的难选矿石如何利用XRT和双面高清视觉成像技术，针对最小5mm的超细粒级矿石分选难题进行研究，实现高准确度识别和高精度分离。
Abstract
The grade of global mineral resources is gradually declining, and traditional mineral processing methods are trapped in the dilemma of severe environmental pollution and rising costs. Intelligent mineral processing technology adopts physical means to pre-concentrate ores, and this approach has been increasingly recognized by mining enterprises. Centering on how to process complex refractory ores, this report conducts research on the separation challenge of ultra-fine particle ores as small as 5 mm by applying XRT and dual-sided high-definition visual imaging technology, so as to realize high-accuracy identification and high-precision separation.
| 关键词 | 矿石，品位， 分选，X射线透射技术，融合 |
|---|---|
| Keywords | Mine, Grade,Sorting,XRT, Fuse |
