期刊文献+

基于模糊层次分析法的厚煤层采煤方法选择研究 被引量:55

Mining methods selection in thick coal seam based on fuzzy analytic ierarchy process
原文传递
导出
摘要 为了克服传统评判方法的主观性和单一性,提出了利用模糊层次分析法选择采煤方法的新思路。根据模糊综合评判方法基本原理,针对厚煤层采煤方法选择的模糊性和不确定性,结合东庞矿2#煤层的工程实例,确定了4个影响厚煤层采煤方法选择的一级评判因素,即煤层地质条件、经济效益、技术水平和安全指标,以及23个二级评判因素;采用模糊层次分析法确定一级评判因素、二级评判因素的权值。应用本评判模型对东庞矿厚煤层采煤方法的选择进行综合评判,评判结果表明:厚煤层分层开采、大采高一次采全高、放顶煤开采的隶属度分别为23.19%,41.07%,35.74%,确定大采高一次采全厚为最佳开采方案。 In this paper, aiming at solving the problem of subjectivity and oneness of the traditional evaluation methods, a new idea of fuzzy analytic hierarchy process was put forward to select mining methods in thick coal seam. Based on the basic principles of fuzzy comprehensive evaluation, in view of the fuzziness and uncertainty of mining method selection in thick coal seam, 4 first level evaluation factors which influencing the mining method selection were determined according to the engineering practice of No. 2 Coal Seam in Dongpang Coal Mine, that is, geological conditions, economic benefits, technical level and safety index, as well as 23 second level evaluation factors. Then, the weights of each first and second level evaluation factors were determined by using fuzzy analytic hierarchy process. The mining method selection in Dongpang Mine were evaluated based on multi-level fuzzy comprehensive evaluation and fuzzy analytic hierarchy process. The results show that the fuzzy membership degree for slicing mining method is 23.19%, and 41.07% for full coal height mining, 35.74% for top coal caving mining, respectively, which indicating that full coal height mining is the best choice.
出处 《采矿与安全工程学报》 EI CSCD 北大核心 2015年第1期35-41,共7页 Journal of Mining & Safety Engineering
基金 国家重点基础研究发展计划(973)项目(2013CB227903) 煤炭资源与安全开采国家重点实验室开放课题项目(SKLCRSM11KFB05) 中央高校基本科研业务费专项资金项目(2010QZ02)
关键词 厚煤层 采煤方法 模糊综合评判 模糊层次分析法 thick coal seam mining method fuzzy comprehensive evaluation fuzzy analytic hierarchy process
  • 相关文献

参考文献12

二级参考文献46

共引文献2188

同被引文献458

引证文献55

二级引证文献278

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部