采矿与安全工程学报 ›› 2015, Vol. 32 ›› Issue (2): 343-348.

• 论文 • 上一篇    

顶底柱回采爆破方案优选的 AHP-TOPSIS 模型

  

  1. 1.中南大学资源与安全工程学院,湖南长沙 410083;2.凡口铅锌矿,广东韶关 512325
  • 收稿日期:2013-07-04 出版日期:2015-03-15 发布日期:2015-06-23
  • 作者简介:史秀志(1966—),男,河北省邢台市人,教授,博士,从事采矿技术、工程爆破及矿山安全方面的研究。
  • 基金资助:

    国家科技支撑计划项目(2013BAB02B05)

Mining blasting scheme optimization of crown-sill pillar based on AHP-TOPSIS evaluation model

  • Received:2013-07-04 Online:2015-03-15 Published:2015-06-23

摘要: 针对某铅锌矿在顶、底柱矿体回采爆破方案选择中难以决策的问题,在结合层次分析法 (AHP)和逼近理想解排序法(TOPSIS)基本理论的基础上,建立AHP-TOPSIS 综合评判指标体系模型,对4 种拟选的回采爆破方案进行综合评判优选。从经济、技术、安全3 方面的9 个指标综合考虑影响回采爆破方案选择的因素,通过层次分析法客观地确定各评判指标的权重向量,进而结合逼近理想解排序法原理构建AHP-TOPSIS 综合评判指标体系模型,计算出各爆破方案基于评判指标的综合优越度,得出拟选回采爆破方案的优越度分别为50.0%,62.2%,69.6%,45.0%,从而确定第3 种爆破方案(直孔掏槽、80°斜孔侧崩)最优。研究结果与BP 神经网络法、突变级数法、熵模糊物元模型的评判结果基本相符,证明该模型的可行性,为爆破方案的选择提供新的思路。

关键词: 爆破方案, 评判指标, 层次分析法, 逼近理想解的排序法, 综合评判模型

Abstract: In response to the difficulty in deciding the mining blasting scheme of crown and sill pillars, a AHP-TOPSIS comprehensive evaluation index system model has been established based on the basic theory of analytic hierarchy process(AHP)and technique for order preference by similarity to ideal solution( TOPSIS), and the model has been used to do the comprehensive evaluation optimization for 4 kinds of blasting scheme. 9 indexes have been adopted to comprehensively test the impact on the selection element of blasting scheme from the perspective of economy, technology and security, the weight matrix of the evaluation indexes has been established according to the AHP method, and then the AHP-TOPSIS comprehensive evaluation model has been established with the basic theory of TOPSIS. Finally, the superior degrees of blasting scheme has been calculated based on the comprehensive evaluation index. The synthetic superior degrees of the optional blasting scheme are 50.0%, 62.2%, 69.6%, 45.0%, and consequently the third scheme is confirmed the best (hurn cut; inclined hole and side collapse with an angle of 80°). Research results are consistent with the BP neural network, catastrophe progressing method, and Entropy-Fuzzy Matter-element model, which testifies the feasibility of the AHP-TOPSIS comprehensive evaluation model. It provides a new way to select blasting scheme.

Key words: blasting scheme, evaluation index, AHP, TOPSIS, comprehensive evaluation model