Journal of Engineering Research

An overview of the current safety production situation in the transportation construction industry reveals that traditional management methods are gradually failing to meet the practical demands of high-quality development when faced with the complexity of projects, the multiplicity of responsible entities, and the need for precise hidden danger management. Against the backdrop of the country’s ongoing deepening of digital reform, the transportation system of Zhejiang Province has taken the lead in constructing a “1+7+N+X” digital promotion system, accumulating valuable experience for the digital transformation of the industry. Based on this foundation, a certain construction group, combining its own safety supervision practices, has proposed a “1+8+N” intelligent safety monitoring system architecture. This architecture comprehensively promotes the transformation of safety management from “experience-driven” to “data-driven” through a unified data center, the integration of eight major business modules, and the overlaying of multiple innovative application scenarios. The system widely applies technical means such as a safety point system, work point code management, and AI-based hazard identification at project sites, creating a “visible, controllable, and traceable” intelligent supervision loop. This paper focuses on the practical implementation of this architecture in typical projects, in-depth discussions on its practical effects and optimization paths in terms of consolidating safety responsibilities, closed-loop management of hazards, and a mechanism for all-personnel participation. It aims to provide a replicable model for the construction of intelligent safety monitoring systems in the field of transportation infrastructure construction.

“1+8+N” architecture; Intelligent safety monitoring system; Application practice research