The Mine Emergency Management Capability Based on EWM-CNN Comprehensive Evaluation

AbstractBy establishing an evaluation system for emergency management capability for coal mine enterprises, the problems and shortfalls in coal mine emergency management can be identified. Moreover, this evaluation method holds promise in enhancing the ability to respond to emergencies in coal mines. The current research conducts both theoretical analysis and field research to determine and extract 26 factors that impact the emergency management capability of coal mining companies. The collected data is analyzed using SPSS version 24.0 and undergoes reliability and validity assessments. Subsequently, the entropy weight technique is utilized to determine the weight of individual evaluation system indices. As an effective evaluation tool, the trained convolutional neural network (CNN) model can accurately and effectively predict the satisfaction of the samples outside the training sample set, providing suggestions for improving coal mine emergency management. The trained model is employed to make empirical predictions and analyze the XY coal mine. The findings indicate that the overall emergency management capacity of the coal mine is II, which is at a good level. The evaluation results are consistent with the actual situation, and suggestions are provided for improving the emergency management ability of coal mines.Keywords: Coal MineEmergency Management CapacityEntropy WeightConvolutional Neural NetworksEvaluation Index SystemEMJ Focus Areas: Decision Making & Risk ManagementEngineering Management Profession Disclosure StatementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe work was supported by the National Natural Science Foundation of China [42002282].Notes on contributorsLongqing ShiLongqing Shi is a professor and Ph.D. supervisor in geological engineering at Shandong University of Science and Technology. He is a Chinese expert of the Siberian Branch of the Russian Academy of Natural Sciences, a national natural science foundation evaluator, a coal mine water control specialist, a director of the underground engineering branch of the rock mechanics and engineering society, and an author of six books, eight patents, and 142 papers (55 SCI/EI).Song FuSong Fu is pursuing for his PhD degree at Shandong University of Science and Technology. He has published two papers in international journals and also presented one papers in international conferences. His research interests are project governance mechanisms, project control and project performance.Jin HanJin Han, a professor and Ph.D. supervisor in embedded computer control, computer system architecture, and electronic circuits. She was a visiting scholar at the University of Southern California for a year from 2011 to 2012. She has led or joined nine research projects in the last five years, with three funded by the national natural science foundation and four by provincial and ministerial agencies. She has published 22 papers, two monographs, and two textbooks.Tianhao LiuTianhao Liu, born in Shandong, China in 1994, earned his PhD in geological engineering from Shandong University of Science and Technology in 2021. He researches geological disaster prevention, water hazard control, and environmental protection. He has published papers in journals like “Fuels”, “Energy & Fuels”, and “Chinese Journal of Geophysics”. He received awards from Shandong University, China Coal Industry Association, and China Safety Production Association.Shaowei ZhanShaowei Zhan graduated from Shandong University of Science and Technology with a master’s degree in mining engineering. He is currently the mine manager of Xiaoyun Coal Mine in Jining, Shandong Province, and has published five papers in international journals.Chuanchen WangChuanchen Wang graduated from Shandong University of Science and Technology with a bachelor’s degree in mining engineering. He is currently an engineer in Xiaoyun Coal Mine, Jining, Shandong Province, and has published a paper in an international journal.