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Real-Time Environmental Risk Management and Safety Monitoring System for Modular Construction: A Framework for Enhanced Quality and Efficiency
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Author(s): Zeyuan Chai (The Hong Kong Polytechnic University, Hong Kong), Man Yi Lee (The Hong Kong Polytechnic University, Hong Kong), Cheuk Sze Ng (The Hong Kong Polytechnic University, Hong Kong), Kam Tong Yik (The Hong Kong Polytechnic University, Hong Kong)and Wai Ki Ng (The Hong Kong Polytechnic University, Hong Kong)
Copyright: 2026
Pages: 26
Source title:
Intelligent Construction Monitoring Systems: Real-Time Safety, Environmental Prediction, and Risk Management
Source Author(s)/Editor(s): Aquil Mirza Mohammed (The Hong Kong Polytechnic University, Hong Kong)and Hewa Majeed Zangana (Duhok Polytechnic University, Iraq)
DOI: 10.4018/979-8-3373-9245-5.ch004
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Abstract
Modular integrated construction (MiC) offers faster, safer, and more sustainable building, but on-site environmental factors can reduce connection quality and productivity. This study presents a real-time risk management system using IoT sensors; thermometers, hygrometers, and anemometers; networked via MQTT to a central dashboard. The system continuously monitors temperature, humidity, and wind speed, comparing data to activity-specific thresholds for key MiC tasks. Risks are classified into three levels, triggering instant alerts and recommendations from “proceed with caution” to “stop work.” Simulations confirm reliable detection of hazards like high humidity, extreme temperatures, and unsafe winds. With AI helmet detection, the system reached 80% safety compliance, reducing misalignments and rework. This framework effectively mitigates environmental impacts, and future predictive analytics could further enhance proactive management.
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