China Safety Science Journal ›› 2025, Vol. 35 ›› Issue (S1): 21-28.doi: 10.16265/j.cnki.issn1003-3033.2025.S1.0004

• Safety social science and safety management • Previous Articles     Next Articles

Comprehensive prevention and control system for work safety in metallurgical enterprises based on risk quantitative evaluation

LIAO Guangdong1(), YU Shilei2,3,**()   

  1. 1 Chongqing Qineng Electric Aluminum Co., Ltd., Chongqing 408000, China
    2 China Coal Science and Industry Group Changzhou Research Institute, Changzhou Jiangsu 213015, China
    3 Tiandi (Changzhou) Automation Co., Ltd., Changzhou Jiangsu 213015, China
  • Received:2025-01-14 Revised:2025-03-18 Online:2025-06-30 Published:2025-12-30
  • Contact: YU Shilei

Abstract:

To enhance the work safety management level of metallurgical enterprises, a comprehensive prevention and control system for safety production in metallurgical enterprises based on risk quantitative evaluation is constructed. Based on five key elements, namely personnel, equipment, materials, environment, and management and work safety standardization requirements, a four-dimensional prevention and control mechanism was designed, integrating on-site control, risk inspection and control, system operation management, and safety supervision. Additionally, a safety risk assessment model was established by considering factors influencing on-site risk dynamics. By incorporating multi-source heterogeneous data (both quasi-static and unstructured) monitored by the system, a dynamic quantitative risk assessment of enterprises was achieved. The results demonstrate that the developed comprehensive prevention and control system for work safety based on the four-dimensional prevention and control mechanism effectively ensures compliance of enterprises with work safety standardization. Furthermore, the comprehensive work safety risk assessment model and multi-source heterogeneous data monitored by the system enable real-time quantitative calculation of enterprise safety indices. A higher index indicates better safety conditions at grid points, while a lower index reflects poorer safety status. This method relies on real-time and multi-source heterogeneous data monitoring, providing an objective, comprehensive, and accurate reflection of enterprise safety status.

Key words: quantitative risk assessment, metallurgical enterprise, comprehensive prevention and control of work safety, safety risk, on-site control

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