基于人工智能的矿山技术经济指标动态优化研究

In order to get the dynamic optimization of mine technical and economical index, the research on multi-objective dynamic optimization of technical and economical index, dynamic optimization of ore blending and dynamic resource evaluation is carried on by artificial intelligence. The relationship between the mine technical and economical indexes is a complex and dynamic system. Because the indexes change frequently, while they integrate and restrict each other. At present, there are many deficiencies in the theory and the system architecture of mine technical and economical index of mine optimization, such as lack of investigation and analysis on critical production data, low intelligence, poor holistic, bad systematic and so on. In the research, the intelligent system of overall dynamic optimization on mine technical and economical index is established by some steps. Firstly, the technical and economical indexdatabase system and the Dimine deposit model must be established, while we can analyze the association patterns between the main technical and economical index with data mining technology, and build corresponding mathematical models. Then, the model of dynamic resource evaluation is established to calculate the level differences of marginal grade. In the last, we should study multi-objective dynamic optimization on technical and economical index and dynamic optimization on ore blending with the help from information technology and artificial intelligence theory.

为实现矿山技术经济指标的整体动态优化，本课题采用人工智能的理论方法进行矿山技术经济指标多目标动态优化、动态配矿优化和矿产资源的动态评估研究。矿山的技术经济指标时刻发生动态变化，指标之间彼此关联、制约，是一个复杂、动态的系统。而目前矿山技术指标优化系统的方法理论和体系结构存在一些不足，如对关键生产数据信息的挖掘分析欠缺，智能化程度低，整体性和系统性差等。申请者提出矿山技术经济指标的整体动态优化的智能系统，首先建立矿山技术经济指标数据库和DIMINE三维矿床模型，再利用数据挖掘技术分析主要技术经济指标之间的关联模式，构建相应的数学模型，然后建立资源动态评估模型，进行级差边际品位计算，最后采用信息技术和人工智能理论方法进行矿山技术经济指标多目标优化研究和矿山企业动态配矿优化研究。

为实现矿山技术经济指标的整体动态优化，本课题采用人工智能的理论方法进行矿山技术经济指标多目标动态优化、动态配矿优化和矿产资源的动态评估研究。矿山的技术经济指标时刻发生动态变化，指标之间彼此关联，是一个复杂、动态的系统。目前矿山技术指标优化系统的方法理论和体系结构存在一些不足，如对关键生产数据信息的挖掘分析欠缺，智能化程度低，整体性和系统性差等。申请者提出矿山技术经济指标的整体动态优化的智能系统，首先建立矿山生产经营数据库系统和三维地质数据库系统，挖掘矿山主要技术经济指标之间的关联模式，结合对矿山“三率”的分析结果进行矿山资源利用情况评价，同时对矿产品价格行情进行分析，建立相应的数学模型，然后建立资源动态评估模型，结合矿山实例进行级差边际品位计算，最后采用信息技术和人工智能理论方法进行矿山技术经济指标多目标优化研究和矿山企业动态配矿优化研究，并开发了相应的配矿管理系统、品位动态测算系统以及技术经济评价系统。