陕西煤炭2026，Vol.45Issue(7)：205-210,6.DOI:10.20120/j.cnki.issn.1671-749x.2026.0731
基于贝叶斯网络的煤矿安全生产风险量化分析
Quantitative analysis of coal mine safety production risks based on Bayesian networks
徐晓波 1李玥毅 2黄彦军 1尹小磊 1彭军1
作者信息
- 1. 山西潞安集团司马煤业有限公司,山西 长治 046000
- 2. 中国矿业大学(北京) 应急管理与安全工程学院,北京 100083
- 折叠
摘要
Abstract
This paper addresses the problems existing in coal mine production,such as insufficient identification of potential risk hazards,low reliability of risk early warning,and unclear division of safety supervision responsibilities.Based on Bayesian network theory,it designs an indicator system for the coal mine risk calculation model,constructs a quantitative model for coal mine safety production risk,conducts an overall risk assessment,and explores its safety management mode.The research results show that the overall risk level of coal mines in the Lu'an mining area is Grade Ⅰ,which is categorized as low risk.Meanwhile,the probability of environmental factor risks is relatively high with considerable danger,thus it is imperative to conduct real-time and dynamic monitoring of environmental parameters and take targeted measures to control environmental risks.关键词
煤矿风险/贝叶斯网络/风险量化/"互联网+"/安全管理Key words
coal mine risk/Bayesian networks/risk quantification/"Internet+"/safety management分类
矿业与冶金引用本文复制引用
徐晓波,李玥毅,黄彦军,尹小磊,彭军..基于贝叶斯网络的煤矿安全生产风险量化分析[J].陕西煤炭,2026,45(7):205-210,6.
