Research on expressway construction risk identification and emergency response mechanism driven by intelligent perception
智能感知驱动下的高速公路施工风险识别与应急响应机制研究

摘要

在高速公路建设日益复杂的背景下，施工过程中面临的安全风险类型日趋多元，传统的人工监测与应急响应机制已难以满足高效率、高精准度的管理需求。随着人工智能、物联网与边缘计算等技术的迅猛发展，智能感知系统在施工场景中的集成应用，为动态风险识别与快速响应提供了技术支撑。本文聚焦“智能感知驱动”视角，系统梳理高速公路施工中主要风险类型，探讨智能感知系统如何实现多源数据融合与实时预警，并构建契合施工周期特征的应急响应机制，以期提升工程安全管控的科学性、主动性与实效性。

Abstract

Against the backdrop of increasingly complex expressway construction, the types of safety risks encountered during the construction process are becoming increasingly diverse, and traditional manual monitoring and emergency response mechanisms can no longer meet the management demands for high efficiency and high precision. With the rapid development of technologies such as artificial intelligence (AI), Internet of Things (IoT), and edge computing, the integrated application of intelligent perception systems in construction scenarios provides technical support for dynamic risk identification and rapid response. This paper adopts an "intelligent perception-driven" perspective, systematically reviews the main types of risks in expressway construction, explores how intelligent perception systems can achieve multi-source data fusion and real-time early warning, and constructs an emergency response mechanism that aligns with the characteristics of the construction cycle, aiming to enhance the scientific nature, proactivity, and effectiveness of engineering safety management.