A review on risk management driven by big data in coal mine accidents

doi:10.16265/j.cnki.issn1003-3033.2024.07.0154

Abstract

Abstract:

In order to clarify the research progress of intelligent risk management in coal mines, the research status of data-driven coal mine safety risk management models was comprehensively analyzed. The prediction methods and analysis models for coal mine safety risk assessment were also reviewed. Firstly, the intelligent risk management was defined, and the scope of analysis was determined by searching relevant literature. Then, the research status, existing problems and development trend of accident big data were reviewed from three aspects: data-driven analysis method, coal mine safety risk assessment model and coal mine big data prediction and early warning platform. The results show that the theory and application framework of data-driven risk analysis in the field of coal mine safety has been basically formed, but it still cannot meet the needs of risk assessment and emergency management. In the application of early warning platform, a unified and general basic framework of big data analysis platform for coal mine safety production has been formed, but its application and promotion in production practice are far from enough. In the future, it is necessary to construct the comprehensive risk assessment model to study the risk of coal mining, starting from improving data quality and integrating dynamic and static multi-source data. Besides, the application of data-driven analysis in production practice should also be strengthened. These works can promote the transformation of coal mine safety risk management mode from empiricism to data-driven, and realize the informatization and intelligence of coal mine safety risk management.

Key words: coal mine accident, data-driven, risk governance, intellectualization, risk assessment models

CLC Number:

X936

WANG Qifei, ZHAO Yihan, LIU Shuai, LIU Haolin, SUN Yingfeng, LI Chengwu. A review on risk management driven by big data in coal mine accidents[J]. China Safety Science Journal, 2024, 34(7): 28-37.

Figures/Tables 5

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References 52

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数据管理平台	所属机构	1	2	3	4	5	6	7	8	9	10	11
煤矿安全风险预测系统^[7]	中国矿业大学(北京) 国家安全生产监督管理总局	√	√	√		√
煤矿安全事故数据库系统^[3]	太原科技大学					√			√	√
煤矿安全生产大数据预警预测平台^[6]	国家安全生产监督管理总局						√	√		√
神东智能矿山大数据平台^[9]	国家能源集团神东煤炭集团				√					√
煤矿事故案例本体知识库^[4]	安徽理工大学										√
事故案例数据库^[5]	中国矿业大学(北京)										√
煤矿井下安全动态信息平台^[11]	中国矿业大学(北京)
煤矿安全生产动态监测预警系统^[8]	中国矿业大学			√		√				√
中国煤矿事故地理参考时空数据库^[2]	浙江大学中国人民大学					√						√
智能矿井安全生产大数据集成分析平台及其应用^[10]	北京大学						√			√