A study on the application practice of intelligent safety monitoring system based on the “1+8+n” architecture
基于“1+8+N”架构的智慧安监系统应用实践研究

摘要

综观当前交通建设行业的安全生产形势，传统管理手段在面对工程复杂性、责任主体多元性以及隐患治理精准化等方面，已逐渐难以满足高质量发展的现实需求。在国家数字化改革持续深化的大背景下，浙江省交通系统率先构建“1+7+N+X”数字化推进体系，为行业数字化转型积累了宝贵经验。以此为基础，某建设集团结合自身安全监管实践，提出“1+8+N”智慧安监系统架构，通过统一数据中心、集成八大业务模块、叠加多个创新应用场景，全面推动安全管理由“经验驱动”向“数据驱动”转型。该系统在项目现场广泛应用安全积分制、工点码管理、AI隐患识别等技术手段，打造出“可视、可控、可追溯”的智慧监管闭环。本文聚焦该架构在典型项目中的落地实践，深入探讨其在安全责任压实、隐患闭环治理、全员参与机制等方面的实际成效与优化路径，以期为交通基建领域的智慧安监体系建设提供可借鉴的范式。

Abstract

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.