| Issue |
E3S Web Conf.
Volume 329, 2021
4th International Conference on Green Energy and Sustainable Development (GESD 2021)
|
|
|---|---|---|
| Article Number | 01016 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/202132901016 | |
| Published online | 09 December 2021 | |
Construction and application of comprehensive early warning system for coal and gas outburst in Xinjing Coal Mine
1 State Key Laboratory of the Gas Disaster Detecting, Preventing and Emergency Controlling, Chongqing, 400037, China
2 Chongqing Research Institute of China Coal Technology and Engineering Group Crop., Chongqing, 400037, China
3 Chongqing University, Chongqing, 400044, China
* Corresponding author: 2010152@cqccteg.com
In order to further strengthen the prevention and control of coal and gas outburst in Xinjing Coal Mine, the online comprehensive analysis and early warning index system and rules of coal and gas outburst suitable for Xinjing Coal Mine were studied. Based on the corresponding early warning computer system and guarantee mechanism, a comprehensive early warning system for coal and gas outbursts in Xinjing Coal Mine was established, realizing real-time intelligent early warning of outburst dangers in working faces. The system realizes the standardization and dynamic management of outburst prevention information at the working face, as well as the real-time dynamic update and sharing of outburst prevention information, which improves the efficiency of mine outburst prevention management and the level of mine safety. The actual application of the system in Xinjing Coal Mine shows that the system can provide an effective reference for the comprehensive early warning of outbursts in other outburst mines of Yangquan Coal Industry Group.
© 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.