“Four-in-One” Coal Mine Safety Management Method for Coal Mines Based on Time and Space Characteristics of Potential Safety Hazards

Abstract

Safety hazards in coal mines are characterized by significant spatiotemporal heterogeneity, dynamic evolution, and multi-actor coupling. Traditional safety management models, which center on periodic inspections and accident rectification, struggle to achieve proactive risk identification and full-process control. To address this issue, this paper proposes a multi-scale, collaborative “four-in-one” safety management framework oriented toward the hazard lifecycle, based on the spatiotemporal evolution patterns of safety hazards. This framework integrates systems safety theory with the safety philosophy of socio-technical systems, viewing safety hazards as an evolutionary process shaped by the combined effects of spatial exposure, human behavior, organizational management, and dynamic states. It establishes a comprehensive safety governance system comprising precise risk identification, active personnel participation, closed-loop accountability governance, and intelligent dynamic feedback. By integrating the “Area–Point–Number” risk classification method; the “Two-way Risk Purchasing” incentive mechanism; the “Six-level, Six-step, and Three-chain” closed-loop management model; and the Hazard Alert System, the framework achieves the coordinated optimization of risk identification, hazard management, and information feedback. Application validation based on safety hazard data from a coal mine between 2017 and 2020 demonstrates that this method enhances the ability to identify potential risks and effectively reduces major hazard types, such as management deficiencies, unsafe behaviors, and unsafe conditions. The research findings indicate that this framework overcomes the limitations of traditional safety management—such as a single-entity approach, static inspections, and passive responses—and facilitates a shift in coal mine safety governance from hazard control to risk prevention and from manual, experience-based management to intelligent, collaborative decision-making, thereby providing a new theoretical approach for enhancing the safety resilience of complex coal mine production systems.