矿石质量智能控制系统的开发与应用

针对露天金属矿山的供矿质量不稳定的现状,响应智能矿山发展的需求,研发了具有地形生成与配矿计算集合的矿石质量智能控制系统。系统的地形生成功能采用C++语言编制,利用Open GL可视化平台完成区域骨架构建、地形填充,实现开采现状模型品位更新及矿量统计,从而为矿石质量控制提供基础。根据矿石质量优化需求,以多目标函数描述配矿问题,构建数学模型,采用遗传算法求解,得到优化方案后将其显示于三维模型系统中,在优化矿石质量的基础上达到矿山数字化、智能化管理,对于大中型露天金属矿山具有重要的现实意义。

Development and Application of Intelligent Control System for Ore Quality

In view of the unstable quality of ore supply in open-pit metal mines and in response to the needs of developing the intelligent mines， an intelligent ore quality control system with the combination of terrain generation and ore blending calculation was developed. The terrain generating function of the system is compiled in C++ language， and the regional skeleton structure and topographic filling are completed by using Open GL visualization platform. The grade updating of mining status model and mineral quantity statistics are realized， thus providing a basis for ore quality control. According to the requirement of ore quality optimization， the ore blending problem is described by multi-objective function， the mathematical model is constructed， and the optimization scheme is solved by genetic algorithm. The optimized scheme is displayed in the three-dimensional model system. On the basis of optimizing ore quality， the digitized and intelligent management of mine is achieved. It has important practical significance for large and medium-sized open-pit metal mines.