IoT-Based Safety Control and Risk Monitoring Framework for Civil and Industrial Worksite

Recent advances in the Internet of Things (IoT) have enabled real-time monitoring and intelligent safety control mechanisms in high-risk work environments. Construction and industrial worksites frequently involve hazardous conditions such as toxic gases, structural vibrations, extreme temperature, noise exposure, and falling objects. Traditional safety inspection methods rely heavily on periodic manual observations, which are insufficient for early hazard detection and preventive decision-making. This study proposes an IoT-based safety control and risk monitoring framework that integrates multi-sensor data acquisition, wireless transmission, cloud-based analytics, and automated alerting mechanisms for proactive safety management. The architecture enables continuous data measurement, trend analysis, and incident prediction to support decision-making at supervisory and managerial levels. Experimental implementation indicates that such systems can significantly reduce the probability of accident occurrence and improve safety performance in civil and industrial worksites.

کلیدواژه ها:

Internet of Things (IoT) ، Construction Safety Management ، Multi-Hazard Risk Monitoring ، Industrial Worksite Safety ، Real-Time Safety Control