采矿与安全工程学报
採礦與安全工程學報
채광여안전공정학보
JOURNAL OF MINING AND SAFETY ENGINEERING
2015年
1期
35-41
,共7页
宋高峰%潘卫东%杨敬虎%孟浩
宋高峰%潘衛東%楊敬虎%孟浩
송고봉%반위동%양경호%맹호
厚煤层%采煤方法%模糊综合评判%模糊层次分析法
厚煤層%採煤方法%模糊綜閤評判%模糊層次分析法
후매층%채매방법%모호종합평판%모호층차분석법
thick coal seam%mining method%fuzzy comprehensive evaluation%fuzzy analytic hier-archy process
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。
為瞭剋服傳統評判方法的主觀性和單一性,提齣瞭利用模糊層次分析法選擇採煤方法的新思路。根據模糊綜閤評判方法基本原理,針對厚煤層採煤方法選擇的模糊性和不確定性,結閤東龐礦2#煤層的工程實例,確定瞭4箇影響厚煤層採煤方法選擇的一級評判因素,即煤層地質條件、經濟效益、技術水平和安全指標,以及23箇二級評判因素;採用模糊層次分析法確定一級評判因素、二級評判因素的權值。應用本評判模型對東龐礦厚煤層採煤方法的選擇進行綜閤評判,評判結果錶明:厚煤層分層開採、大採高一次採全高、放頂煤開採的隸屬度分彆為23.19%,41.07%,35.74%,確定大採高一次採全厚為最佳開採方案。
위료극복전통평판방법적주관성화단일성,제출료이용모호층차분석법선택채매방법적신사로。근거모호종합평판방법기본원리,침대후매층채매방법선택적모호성화불학정성,결합동방광2#매층적공정실례,학정료4개영향후매층채매방법선택적일급평판인소,즉매층지질조건、경제효익、기술수평화안전지표,이급23개이급평판인소;채용모호층차분석법학정일급평판인소、이급평판인소적권치。응용본평판모형대동방광후매층채매방법적선택진행종합평판,평판결과표명:후매층분층개채、대채고일차채전고、방정매개채적대속도분별위23.19%,41.07%,35.74%,학정대채고일차채전후위최가개채방안。
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.