Knowledge discovery and disaster chain network analysis of coal mine roof accidents

Kun CHEN; Jiyu TAN; Yuanchun DING

doi:10.13347/j.cnki.mkaq.20231336

Meikuang Anquan (Aug 2024)

Knowledge discovery and disaster chain network analysis of coal mine roof accidents

Kun CHEN,
Jiyu TAN,
Yuanchun DING

Affiliations

Kun CHEN: Center for Emergency Management and Multidisciplinary Innovation Research, Jiangxi University of Science and Technology, Ganzhou 341000, China
Jiyu TAN: Center for Emergency Management and Multidisciplinary Innovation Research, Jiangxi University of Science and Technology, Ganzhou 341000, China
Yuanchun DING: Center for Emergency Management and Multidisciplinary Innovation Research, Jiangxi University of Science and Technology, Ganzhou 341000, China

DOI: https://doi.org/10.13347/j.cnki.mkaq.20231336
Journal volume & issue: Vol. 55, no. 8
pp. 249 – 256

Abstract

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In order to prevent the occurrence of coal mine roof accidents, it is of great significance to realize the knowledge discovery of accident causes and the network analysis of disaster chain. Taking the accident causes in the coal mine roof accident report as the data set, the knowledge map of accident causes was constructed. Further, based on the complex network theory, the causal disaster chain network is constructed and analyzed. The research results show that 22 factors, such as roof collapse, empty roof and support deformation, are the main disaster causing factors of coal mine roof accidents; the side with the greatest risk is from illegal command to illegal operation of operators in disaster chain network analysis. The control of key nodes and edges can effectively control the occurrence or derivative development of coal mine roof accidents.

Published in Meikuang Anquan

ISSN: 1003-496X (Print)
Publisher: Editorial Office of Safety in Coal Mines
Country of publisher: China
LCC subjects: Technology: Mining engineering. Metallurgy
Website: https://www.mkaqzz.com/indexen.htm

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