中国安全科学学报 ›› 2025, Vol. 35 ›› Issue (8): 139-147.doi: 10.16265/j.cnki.issn1003-3033.2025.08.1049

• 安全工程技术 • 上一篇    下一篇

浅埋煤层采空区漏风量主控因素探讨

刘冰1(), 郑霞文1, 罗贞焱2, 唐超3,**(), 张丽敏3   

  1. 1 湖南工商大学 前沿交叉学院, 湖南 长沙 410205
    2 湖南工商大学 计算机学院, 湖南 长沙 410205
    3 湖南工商大学 资源环境学院, 湖南 长沙 410205
  • 收稿日期:2024-12-29 修回日期:2025-05-06 出版日期:2025-08-28
  • 通信作者:
    **唐超(1985—),女,湖南永州人,博士,讲师,主要从事环境与健康、矿山安全管理等方面的研究。E-mail:
  • 作者简介:

    刘 冰 (1987—),男,湖北潜江人,博士,讲师,主要从事矿山安全、工程管理、资源综合利用等方面的研究。E-mail:

    罗贞焱, 讲师

    张丽敏, 副教授

  • 基金资助:
    国家自然科学基金资助(52304286); 湖南省教育厅青年项目(22B0639)

Discussion on main controlling factors of air leakage in shallow coal seam goaf

LIU Bing1(), ZHENG Xiawen1, LUO Zhenyan2, TANG Chao3,**(), ZHANG Limin3   

  1. 1 School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha Hunan 410205, China
    2 School of Computer Science, Hunan University of Technology and Business, Changsha Hunan 410205, China
    3 School of Resource & Environment, Hunan University of Technology and Business, Changsha Hunan 410205, China
  • Received:2024-12-29 Revised:2025-05-06 Published:2025-08-28

摘要: 为深入分析浅埋煤层采空区漏风特征,选取采空区上覆岩层裂隙平均长度、上覆岩层裂隙平均宽度、上覆岩层孔隙率、上覆岩层厚度及井上下压力差等5个因素建立浅埋煤层采空区漏风影响指标体系,联合优势关系粗糙集和响应曲面法,构建采空区漏风特征及其因子作用分析模型,并以煤矿实例开展实证分析生成采空区漏风偏好类规则,提取出偏好类特征;通过3因素3水平响应曲面法,对浅埋煤层采空区漏风量进行回归函数拟合。结果表明:上覆岩层孔隙率、上覆岩层厚度及井上下压力差等3项指标为采空区漏风量主要控制因素,单因子的F值为96.06~226.82;交互因子作用中“上覆岩层孔隙率及上覆岩层厚度交互作用”与“上覆岩层孔隙率与井上下压力差交互作用”的F值分别为62.34和24.66。与单因子相比,在多因子交互作用中,上覆岩层孔隙率和上覆岩层厚度的交互作用对采空区漏风影响显著。因此,在进行浅埋煤层采空区漏风分析研究及防范防治时,不仅要重视单个因素指标的作用,还应特别关注对漏风有重要影响的因子交互作用。

关键词: 浅埋煤层, 采空区, 漏风特征, 因子作用, 粗糙集, 响应曲面法

Abstract:

In order to conduct a comprehensive analysis of the air leakage characteristics in the goaf of shallow coal seams, five factors were selected, including the average length and width of overlying rock fractures, the porosity and thickness of overlying rock fractures, and the pressure difference above and below the well, to establish an index system for the impact of air leakage in the goaf of shallow coal seams. The dominance-based rough set and response surface method were combined to construct an analysis model for the air leakage characteristics and their factor effects in the goaf. Taking a coal mine as an example, empirical analysis was conducted to generate preference class rules for air leakage in the goaf and extract preference class features. Using the 3-factor 3-level response surface method, regression function fitting was performed on the air leakage volume in the goaf of shallow buried coal seams. The results indicate that the porosity of overlying rock layers, thickness of overlying rock layers, and pressure difference above and below the well are the core influencing factors of air leakage in goaf, with a single factor F-value of 96.06-226.82. The F values for the interaction factors of "interaction between overlying rock porosity and overlying rock thickness" and "interaction between overlying rock porosity and wellbore pressure difference" are 62.34 and 24.66, respectively. Compared with a single factor, in the interaction of multiple factors, the interaction between the porosity and thickness of overlying rock layers has a significant impact on air leakage in goaf. Therefore, when conducting analysis and prevention of air leakage in shallow coal seam goaf, it is important to pay attention to the role of individual factor indicators, as well as the interaction of factors that have a significant impact on air leakage.

Key words: shallow buried coal seam, goaf, air leakage characteristics, factor effect, rough set, response surface method

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