Multi-level edge intelligent management and control mode of safety production based on safety informatics

The utilization of information and intelligent technology promotes the development and innovation of the safety industry, which is also a research hotspot in recent years. This study analyzes the characteristics of information flow in the safety management process and proposes an intelligent safety management mode with edge intelligence from the perspective of safety informatics (SI). The principles of lagging and deviations in safety decisionmaking caused by undesirable functional realization and blocked information flow in the safety management process are analyzed, together with concrete ways to empower traditional safety management mode. Furthermore, a multi-level edge-intelligent management (MLEIM) mode is established, which is characterized by intelligence, agility, flexibility, and unity. Elaborate solutions for implementing MLEIM at three key technical levels are described, and a performance evaluation system is built. An empirical study on the application of MLEIM in the continuous-casting process of Daye Special Steel Co., Ltd. is provided, and the performances of responding to safety events are calculated and compared between different management modes in emergency, short-period, and long-period control scenarios. The results indicate that the proposed MLEIM mode can significantly reduce time delay, promote human-machine interaction, and improve the efficiency of safety management.