基于Fuzzy-AHP的采矿方法优选辅助系统开发与应用

王卫华, 戴怡文, 李坤, 唐修, 刘田

doi:10.11872/j.issn.1005-2518.2018.03.312

黄金科学技术 >

2018 , Vol. 26 >Issue 3: 312 - 317

DOI: https://doi.org/10.11872/j.issn.1005-2518.2018.03.312

采选技术与矿山管理

基于Fuzzy-AHP的采矿方法优选辅助系统开发与应用

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中南大学资源与安全工程学院，湖南长沙 410083

作者简介：王卫华（1976-），男，湖南新化人，教授，从事岩体动力学、爆破及矿业等研究工作。50973993@qq.com

收稿日期: 2017-05-18

修回日期: 2017-10-11

网络出版日期: 2018-07-28

基金资助

国家自然科学基金项目“冲击载荷下岩石节理本构方程及其对应力波传播的影响”（编号：41372278）资助

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Development and Application of Mining Methods Optimization Assistant Sys-tem Based on Fuzzy-AHP

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School of Resources and Safety Engineering，Central South University，Changsha 410083，Hunan，China

Received date: 2017-05-18

Revised date: 2017-10-11

Online published: 2018-07-28

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摘要

采矿方法选择是矿山生产设计中的重要环节，如何便捷地优选采矿方法是矿山设计人员一直关心的问题。将采矿方法优选视为一个多目标模糊优化问题，运用模糊综合理论与层次分析法，建立了采矿方法优选的Fuzzy-AHP模型。然后，运用VB编程，开发了一套具有数据存储功能、运算便捷、操作简单和可视化程度高的计算机辅助优选系统。最后应用该系统对某硫铁矿采矿方法进行了优选，取得了良好的工程效果。实践表明，该系统为矿山采矿方法优选提供了一套可靠性高的辅助决策工具。

关键词： 采矿方法优选; Fuzzy-AHP模型; 计算机辅助系统; MVC框架; 模糊聚类

本文引用格式

王卫华, 戴怡文, 李坤, 唐修, 刘田 . 基于Fuzzy-AHP的采矿方法优选辅助系统开发与应用[J]. 黄金科学技术, 2018 , 26(3) : 312 -317 . DOI: 10.11872/j.issn.1005-2518.2018.03.312

Abstract

Mining methods selection is a key step in mine production design.How to choose mining method conveniently is a problem that mine designers have always been concerned about.In this paper，mining method optimization is regarded as a multi-objective fuzzy optimization problem，and the fuzzy comprehensive theory and analytic hierarchy process (AHP) is adopted to establish Fuzzy-AHP model for mining method optimization.Then，a computer aided optimization system with advantages of data storage，convenient calculation，simple and high visualization is developed by applying VB programming.Finally，the system is applied to optimize mining method of a pyrite mine and good effect of engineering has been achieved.Engineering practice shows that the system provides a set of high reliability decision-making tools for mining method optimization.

Key words： optimization of mining methods; Fuzzy-AHP model; computer aided system; model view contro-ller framework; fuzzy clustering

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