Open AccessApplications of online integrated system for coal and gas outburst prediction: A case study of Xinjing Mine in Shanxi, China
Author(s) -
Zhao Xusheng,
Sun Haitao,
Cao Jie,
Ning Xiaoliang,
Liu Yanbao
Publication year - 2020
Publication title -
energy science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 29
ISSN - 2050-0505
DOI - 10.1002/ese3.642
Subject(s) - coal mining , early warning system , warning system , coal , china , mining engineering , environmental science , petroleum engineering , geology , computer science , engineering , telecommunications , waste management , law , political science
In this study, an indicator model and system for coal and gas outburst prediction are identified and established based on gas geological anomalies, mining stress, and gas emission characteristics. In this regard, the coal and gas outburst prevention techniques and mine rules in China are taken into account. In addition, using this model, an online integrated system and database for coal and gas outburst prediction were built for Xinjing Mine in Shanxi Province. The application results of the prediction system indicate that the system software and hardware can guarantee early warning of coal and gas outburst. The system is continuous and stable, and the early warning results are issued in a timely and accurate manner. The accuracy of the early warning results is high and consistent with the actual risk of the mine.