Research on Detection and Safety Analysis of Unfavorable Geological Bodies Based on OCTEM-PHA

被引:2
|
作者
Zhu, Tao [1 ]
Hu, Jianhua [2 ]
Wen, Guanping [1 ]
Zhou, Tan [1 ]
机构
[1] Cent South Univ, Sch Resources & Safety Engn, Changsha 410083, Peoples R China
[2] Fuzhou Univ, Zijin Sch Gelolgy & Min, Fuzhou 350108, Peoples R China
基金
中国国家自然科学基金;
关键词
advance prediction of unfavorable geological bodies; geological remote sensing; OCTEM detection; inversion maps; profiles; PHA method; HAZARD ANALYSIS; ELECTROMAGNETIC METHOD; INRUSH HAZARDS; TREE ANALYSIS; TRANSIENT;
D O I
10.3390/rs15153888
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The caving method and mining disturbance may cause geological issues. The advance prediction of unfavorable geological bodies should be conducted to ensure product safety in the underground mine. In this study, we proposed the OCTEM-PHA analysis process and analyzed the Tongkeng Mine in Guangxi. Further, we conducted opposing-coil transient electromagnetic method (OCTEM) detection on four detection lines in T5-1 stope at mine level 386 by using portable geological remote sensing equipment and created inversion maps. Plot profiles and coupling were analyzed with inversion maps to explore the five types of risk factors presented in the mine. The preliminary hazard analysis (PHA) method was used for five types of risk factors to predict the accident consequence and develop safety countermeasures. The results indicate the following: (1) the OCTEM-PHA safety analysis process for unfavorable geological bodies is realistic and feasible. (2) OCTEM shows an excellent response to both high- and low-resistance anomalies in practical engineering applications. The coupling analysis of profiles and inversion maps helps visually analyze the area of apparent resistivity anomalies. (3) The studied mine did not show overhanging formed by the overlying rock layer and large loose void areas. However, the crumbling mining area should be further optimized for balanced mining, the treatment of groundwater and surface water should be improved, and the comparative analysis with the follow-up detection results should be increased.
引用
收藏
页数:19
相关论文
共 50 条
  • [41] Research on Probabilistic Safety Margin Analysis Method of SGTR Based on Raven
    Kong, Huanjun
    Liu, Ziyin
    Xu, Anqi
    Wang, He
    Hedongli Gongcheng/Nuclear Power Engineering, 2021, 42 (06): : 120 - 127
  • [42] Research on Coal Mine Safety Accident Based on Grey Relational Analysis
    Yang, Xue
    Li, WenSheng
    INNOVATIVE COMPUTING AND INFORMATION, ICCIC 2011, PT I, 2011, 231 : 101 - 108
  • [43] Analysis and Research of Food Safety Risk Assessment Based on Data Mining
    Li, LiJuan
    Shen, YuanYing
    Yuan, Zhiqiong
    Li, Jie
    PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON BIG DATA ENGINEERING AND TECHNOLOGY (BDET 2018), 2018, : 68 - 72
  • [44] Research on safety analysis for airborne system based on extended functional model
    Jiang, Quan
    Zhu, Chunling
    Cao, Dejian
    Huang, Chuanlin
    Xie, Jian
    ADVANCES IN MECHANICAL ENGINEERING, 2015, 7 (05) : 1 - 16
  • [45] Research on model-based safety analysis of flight control system
    Ke, Yuhang
    Li, Yanjun
    Cao, Yuyuan
    Zhang, Xingcheng
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2021, 43 (11): : 3259 - 3265
  • [46] The Analysis and Research on Food Safety Risk Assessment Based on Data Mining
    Li, LiJuan
    Shen, YuanYing
    Yuan, Zhiqiong
    Li, Jie
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 : 1944 - 1947
  • [47] Research on Rural Drinking Water Safety based on the experimental data analysis
    Wang Min
    Gao Guiqing
    Ju Haiyan
    Wang Xianglian
    2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), 2014, : 849 - 852
  • [48] The Research on Underground Safety Inspection and Gas Methane Detection Based on Industrial Internet Technology
    Zhang, Meng
    Zhao, Dewei
    Yuan, Huimiao
    Kong, Liang
    Zhang, Rangyong
    2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA), 2022, : 1386 - 1390
  • [49] Research on Safety Helmet Detection Algorithm Based on Improved YOLOv5s
    An, Qing
    Xu, Yingjian
    Yu, Jun
    Tang, Miao
    Liu, Tingting
    Xu, Feihong
    SENSORS, 2023, 23 (13)
  • [50] Research Trends in Chemical Analysis Based Explosive Detection Techniques
    Moon, Sanghyeon
    Lee, Wonjoo
    Lee, Kiyoung
    APPLIED CHEMISTRY FOR ENGINEERING, 2022, 33 (01): : 1 - 10