Applications of online integrated system for coal and gas outburst prediction: A case study of Xinjing Mine in Shanxi, China. Issue 6 (5th February 2020)

• Record Type: Journal Article
• Authors: Zhao, Xusheng; Sun, Haitao; Cao, Jie; Ning, Xiaoliang; Liu, Yanbao
• Is Part Of: Energy science & engineering. Volume 8:Issue 6(2020)
• Page Start: 1980
• Page End: 1996
• Publication Date: 2020-02-05
• Subjects: case study -- coal and gas outburst -- coal mine -- multisource information -- prediction; Energy industries -- Periodicals; Energy development -- Periodicals; Power resources -- Periodicals; 621.042
• DOI: 10.1002/ese3.642
• Languages: English
• ISSNs: 2050-0505

Abstract

Abstract: 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. Abstract : The impact of gas geological, mining effects, daily prediction, gas emission, mining pressure, and methods of preventing on the outburst danger of working face has been studied. The online comprehensive analysis and early warning index system and rules for coal and gas outburst dedicated to Xinjing Mine were established.