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顶底柱回采爆破方案优选的AHP-TOPSIS模型

史秀志 刘博 赵建平 阮喜清 陈海波

采矿与安全工程学报Issue(2):343-348,6.
采矿与安全工程学报Issue(2):343-348,6.DOI:10.13545/j.cnki.jmse.2015.02.027

顶底柱回采爆破方案优选的AHP-TOPSIS模型

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

史秀志 1刘博 1赵建平 1阮喜清 2陈海波2

作者信息

  • 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
  • 折叠

摘要

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 solu-tion(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 su-perior 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.

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

Key words

blasting scheme/evaluation index/AHP/TOPSIS/comprehensive evaluation model

分类

矿业与冶金

引用本文复制引用

史秀志,刘博,赵建平,阮喜清,陈海波..顶底柱回采爆破方案优选的AHP-TOPSIS模型[J].采矿与安全工程学报,2015,(2):343-348,6.

基金项目

国家科技支撑计划项目(2013BAB02B05) (2013BAB02B05)

采矿与安全工程学报

OA北大核心CSCDCSTPCD

1673-3363

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