LU Jingji. Research on the application of direct current resistivity method in coal seam floor water inrush monitoring[J]. Journal of Mine Automation, 2021, 47(2): 18-25. DOI: 10.13272/j.issn.1671-251x.2020080070
Citation: LU Jingji. Research on the application of direct current resistivity method in coal seam floor water inrush monitoring[J]. Journal of Mine Automation, 2021, 47(2): 18-25. DOI: 10.13272/j.issn.1671-251x.2020080070

Research on the application of direct current resistivity method in coal seam floor water inrush monitoring

More Information
  • Published Date: February 19, 2021
  • The current researches on the application of direct current resistivity method in coal seam floor water inrush monitoring mainly focus on the resistivity response characteristics of the deformation and damage of the floor, and there are few researches on the resistivity change law of the dynamic development process of water channels. In order to solve the problem of floor water inrush in the North China coalfield, the direct current resistivity method is used to monitor the abnormal structure of floor water-bearing and water-conducting under the influence of mining. Firstly, the paper introduces the working principle of direct current resistivity monitoring system at coal working face and the automatic processing and interpretation method of monitoring data based on three-dimensional inversion of resistivity. Secondly, the paper constructs a geological model for monitoring the process of floor water inrush and carries out the numerical simulation study of the development process of floor water-bearing and water-conducting structures. Finally, the floor direct current resistivity monitoring test is carried out in the coal mine. The numerical simulation results show that the distribution range of abnormal structures of water bearing and water conducting along the survey line can be identified based on the resistivity three-dimensional inversion results. The development of abnormal structures can be inferred from the changing trend of resistivity over time. The low-resistance anomaly response gradually increases as the abnormal water bearing and water conducting structures developing upward, and the low-resistance anomaly increases gradually in the vertical direction. The results of the coal test show that the direct current resistivity monitoring successfully captures the process of water inrush from the floor of coal working face, and the time of abnormal changes in resistivity is earlier than the actual water inrush time of the working face. The low resistance response gradually increases before the increase of water inrush from the working face, which is basically consistent with the numerical simulation results. After the water inrush from the working face, the low resistance abnormality gradually weakens. The results show that the direct current resistivity method can be used for early warning of water inrush from the working face. However, determining the development height of the abnormal structure accurately requires a comprehensive interpretation combined with other monitoring methods.
  • Related Articles

    [1]Entity Extraction of Coal Mine Safety Accidents with Integrated Lexical Information[J]. Journal of Mine Automation.
    [2]GAO Hongbo. Design of coal mine emergency rescue auxiliary decision system based on emergency plan[J]. Journal of Mine Automation, 2024, 50(2): 147-152, 160. DOI: 10.13272/j.issn.1671-251x.2023090033
    [3]LI Zhe, ZHOU Bin, LI Wenhui, LI Xiaoyun, ZHOU You, FENG Zhanke, ZHAO Han. Construction and application of mine electromechanical equipment accident knowledge graph[J]. Journal of Mine Automation, 2022, 48(1): 109-112. DOI: 10.13272/j.issn.1671-251x.2021100009
    [4]WU Panxin, LIU Peng, SHU Ya, YU Qiankun, DING Enjie. Ontology construction and safety rule reasoning of main types of work in coal mine[J]. Journal of Mine Automation, 2022, 48(1): 64-70. DOI: 10.13272/j.issn.1671-251x.2021080053
    [5]GUI Dongdong, WANG Xiangqian, LI Huizong. Automatic construction of coal mine accident ontology[J]. Journal of Mine Automation, 2019, 45(9): 75-79. DOI: 10.13272/j.issn.1671-251x.2019030021
    [6]ZHU Jia, WANG Xiangqian, ZHANG Baolong, LIU Min. Construction of coal mine accident ontology based on formal concept analysis[J]. Journal of Mine Automation, 2018, 44(5): 26-30. DOI: 10.13272/j.issn.1671-251x.2017120026
    [7]SHI Qinfu, LIU Xiulei, LIU Xuhong, SHENG Liguo, HUANG Zhixian. Research on coal mine safety ontology[J]. Journal of Mine Automation, 2018, 44(3): 42-49. DOI: 10.13272/j.issn.1671-251x.2017100007
    [8]TAN Chunchao, YANG Jieming. Research on extraction of image gray information and texture features of coal and gangue image[J]. Journal of Mine Automation, 2017, 43(4): 27-31. DOI: 10.13272/j.issn.1671-251x.2017.04.007
    [9]LIU Ting, PAN Lihu, ZHANG Sulan, CHEN Lichao, ZHANG Yingjun. Research of ontology construction of coal mining face based on formal concept analysis[J]. Journal of Mine Automation, 2017, 43(1): 73-76. DOI: 10.13272/j.issn.1671-251x.2017.01.018
    [10]ZHANG Shan, WU Jian-ping, ZHENG Hong-bo, ZHU Yu-peng. Research of Drill Information Management[J]. Journal of Mine Automation, 2009, 35(7): 30-33.
  • Cited by

    Periodical cited type(4)

    1. 阎馨,全洪燕,屠乃威. 基于改进FWA的配电网优化重构方法研究. 控制工程. 2024(05): 833-841 .
    2. 朱墨,张德正. 基于模糊聚类法的分布式发电集群划分策略. 电工技术. 2023(18): 26-28+31 .
    3. 杨铭,刘建辉. 基于遗传蚁群算法配电网重构. 现代电子技术. 2020(02): 128-132 .
    4. 宋学伟,刘天羽,刘玉瑶. 考虑环保性与自治性的主动配电网能量优化管理. 电工电气. 2019(06): 58-62 .

    Other cited types(6)

Catalog

    Article Metrics

    Article views (192) PDF downloads (18) Cited by(10)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return