Affiliation:
1. School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Abstract
Coal and gas outburst accidents seriously threaten mine production safety. To further improve the scientific accuracy of coal and gas outburst risk prediction, a system software (V1.2.0) was developed based on the C/S architecture, Visual Basic development language, and SQL Server 2000 database. The statistical process control (SPC) method and logistic regression analyses were used to assess and develop the critical value of outburst risk for a single index, such as the S value of drill cuttings and the K1 value of the desorption index. A multivariate information coupling analysis was performed to explore the interrelation of the outburst warning, and the prediction equation of the outburst risk was obtained on this basis. Finally, the SPC and logistic regression analysis methods were used for typical mines. The results showed that the SPC method accurately determined the sensitivity value of a single index for each borehole depth, and the accuracy of the logistic regression method was 94.7%. These methods are therefore useful for the timely detection of outburst hazards during the mining process.
Funder
National Natural Science Foundation of China
Program for the Scientific and Technological Innovation Team in Universities of Henan Province
Scientific and Technological Research Project in Henan Province
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference29 articles.
1. Modelling smoke distribution in the vicinity of a large and prolonged fire from an open-cut coal mine;Luhar;Atmos. Environ.,2020
2. Bosikov, I.I., Martyushev, N.V., Klyuev, R.V., Savchenko, I.A., Kukartsev, V.V., Kukartsev, V.A., and Tynchenko, Y.A. (2023). Modeling and Complex Analysis of the Topology Parameters of Ventilation Networks When Ensuring Fire Safety While Developing Coal and Gas Deposits. Fire, 6.
3. Gendler, S.G., Gabov, V.V., Babyr, N.V., and Prokhorova, E.A. (2022). Justification of engineering solutions on reduction of occupational traumatism in coal longwalls. Min. Informational Anal. Bull., 5–19.
4. An Approach to Detect Local Tectonic Dislocations in Coal Seams Based on Roughness Analysis;Skiba;Arch. Min. Sci.,2022
5. Force Exerted by Gas on Material Ejected During Gas-geodynamic phenomena Analysis and Experimental Verification of Theory;Janus;Arch. Min. Sci.,2022