Work

IoT-based construction site safety management: real-time monitoring and early warning system construction

Year: 2025

Type: article

Abstract: For the goal of ensuring the smooth progress of construction, it is urgent to design a real-time construction safety management method. First, the overall architecture of internet of things (IoT) real-time monitoring is constructed, which includes sensing layer, network layer, platform layer, and application layer; second, according to the accident causation theory, the construction risk monitoring index system is determined, and the key risk features are extracted. Subsequently, the improved ReliefF algorithm is used to select important construction risk features, and the hyperparameters of the support vector machine (SVM) are optimised by the particle swarm optimisation (PSO) algorithm, and important risk features are inputted into the PSO-SVM model to obtain final risk warning results. Application results of a construction project show that the data transmission delay of the system is less than 0.2 s, and the monitoring accuracy can reach 91.31%, showing excellent real-time and accuracy.

Source: International Journal of Information and Communication Technology

DOI: 10.1504/ijict.2025.146835

Authors: Zhengkun Li, Fei Ye, Qiaozhen Liang

Institution: Anhui Vocational College of Grain Engineering

Language: English

Topic: Occupational Health and Safety Research

Subfield: Radiological and Ultrasound Technology

Field: Health Professions

Domain: Health Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

Funders: Anhui Provincial Department of Education, Anhui Provincial Quality Engineering Project