智能——一个金矿工艺设计专家系统

V. M. Torres, A. Chaves, J. Meech
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引用次数: 0

摘要

金矿开采项目是矿产行业难得的机遇。与其他矿产项目相比,其所需资金相对较少,盈利能力高,投资回报快。为了扩大或维持黄金生产,需要不断开发新的矿床和快速实施新的采矿地点。流程设计是主要问题之一。由于简单且易于开采的矿石几乎全部枯竭,因此有必要采取一致的方法来应对日益复杂的情况和不断下降或停滞的金价。工艺设计必须考虑矿石成因、矿物学特征、可用冶金工艺中的矿石行为、与采矿方法的联系、环境影响和经济问题。所涉及的工作类型和环境使此应用程序非常适合使用人工智能工具,如专家系统,模糊逻辑和神经网络。本文介绍了intellold,一个供项目开发团队在初步评估和概念项目阶段使用的专家系统。从地质学/矿物学、加工学和经济学方面整理信息和知识,并提出关于工艺选择和估计成本和收入的建议。描述了知识构建的方法,以及实现和验证。该系统的成功建立暗示了其他矿石如铜和复杂贱金属的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligold-an expert system for gold plant process design
Gold mining projects are a rare opportunity in the minerals industry. They require relatively small capital and give high profitability and fast return on investment compared with other mineral projects. To expand or maintain gold production, continuous development of new deposits and fast implementation of new mining sites are needed. Process design is one of the major issues. As simple and easily extractable ores are almost all exhausted, there is a need for a consistent approach to deal with increasing complexity and decreasing or stagnant gold prices. Process design must consider ore genesis, mineralogical characteristics, ore behaviour in available metallurgical processes, linkage with the mining method, environmental impact, and economic issues. The type of work and environment involved makes this application ideal for using AI tools such as expert systems, fuzzy logic and neural networks. This paper presents Intelligold, an expert system for project development teams to use at the preliminary evaluation and conceptual project stages. Information and knowledge from geology/mineralogy, processing and economics are organized, and recommendations on process options and estimated costs and revenue are given. The knowledge building method is described, together with implementation and verification. Success in building this system suggests application to other ores such as copper and complex base metals.
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