Abstract:

To fill the theoretical deficiency of emphasizing practical operation while ignoring underlying mechanisms in existing intelligent safety research and improve the fundamental theoretical system of intelligent safety, proposes an intelligent safety management and risk prevention and control mechanism based on Five-Flow Synergy Theory was proposed. By clarifying the internal collaborative logic of material flow, energy flow, digital flow, information flow and control flow, this study revealed the accident evolution mechanism induced by single flow abnormality and multi-flow coupling imbalance. Targeted prevention and control mechanisms adapted to the five-flow accident causation characteristics were proposed. A four-layer technical architecture consisting of the perception layer, network layer, platform layer and execution layer, as well as a cloud-edge-terminal three-level collaborative architecture were established. Furthermore, a five-flow collaborative management mechanism featuring data penetration, responsibility traceability and cross-domain linkage was constructed, forming a full-chain active risk prevention and control system with full-domain perception, dynamic assessment, intelligent early warning and collaborative control. The effectiveness of the proposed model was verified through typical industrial scenarios including chemical production and emergency rescue. The research results indicate that, the safety management model constructed based on the Five-Flow Synergy Theory can reasonably explain the causes of new-type industrial safety accidents, support full-domain risk perception, intelligent analysis and judgment as well as closed-loop disposal, and effectively enhance safety resilience and prevention and control capabilities.

Key words: Five-Flow Synergy Theory, intelligent safety management, risk prevention and control, industrial internet, work safety