Author(s)

Hongmei Zhang

Corresponding Author

Hongmei Zhang

Abstract

With the expansion of scale and complexity of China's construction projects, construction safety problems have become more prominent. Conventional safety supervision modes are obviously lagging in terms of real-time response, accuracy and prevention. The purpose of this article is to study dynamic monitoring and early warning technologies that help improve construction safety management. This paper systematically studies the current situation and main problems of construction safety supervision, establishes an IoT and big data-based dynamic monitoring system for construction safety, fuses multi-source data with intelligent algorithms, builds a risk early warning model, and orgeststicsin. In light of this foundation, a dynamic linkage strategy that combines monitoring data with safety supervision mechanism is established to achieve real-time identification and stratified early warning of accident hazards. The research results show that this technology system can effectively promote the informatization and intelligent level of safety supervision, enhance accident prevention capabilities, and has important theoretical and practical significance to optimize construction safety management mode.

Keywords

Construction safety; Safety supervision; Dynamic monitoring; Early warning technology; Construction engineering; Internet of Things; Big data