| Issue |
E3S Web Conf.
Volume 303, 2021
The 10th Anniversary Russian-Chinese Symposium “Clean Coal Technologies: Mining, Processing, Safety, and Ecology” 2021
|
|
|---|---|---|
| Article Number | 01043 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/e3sconf/202130301043 | |
| Published online | 17 September 2021 | |
Safety evaluation of mine roof accident based on grey fuzzy comprehensive evaluation
1 State Key Laboratory of Mining Disaster Prevention and Control Co-Founded by Shandong Province and the Ministry of Science and Technology.
2 School of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
* Corresponding author: DongmeiHuang@sdust.edu.cn
By analyzing the risk assessment methods of roof accidents at home and abroad, this paper summarizes the research status of risk assessment in this area, and analyzes the significance of risk assessment of mine roof accidents. The risk identification of roadway collapse accident is carried out from four aspects -- human, material, environment, and management, and the risk evaluation index system is established, including human unsafe behavior, material unsafe state, management factors and environmental factors. On this basis, the weight of index set is determined by grey relation analysis, and the fuzzy comprehensive evaluation model is obtained by combining the fuzzy comprehensive evaluation method. Taking a coal mine as an example, this paper makes an empirical study of risk assessment and puts forward corresponding countermeasures according to the results of comprehensive assessment. The results show that the safety level of the mine is very safe, so it is feasible to use the grey fuzzy comprehensive evaluation method to evaluate the safety of the mine, which can provide reference for the same kind of mine.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.