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Dual-Dimension Monitoring and Data Management via MQTT: Temperature-Humidity and Helmet Safety
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Author(s): Sicheng Wei (The Hong Kong Polytechnic University, China), Jiayuan Feng (The Hong Kong Polytechnic University, China), Chi Zhou (The Hong Kong Polytechnic University, China), Wenjing Fu (The Hong Kong Polytechnic University, China)and Ziye Huo (The Hong Kong Polytechnic University, China)
Copyright: 2026
Pages: 12
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.ch002
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Abstract
In the building industry, occupational accidents often occur due to failure to wear safety hats, causing injuries and economic losses. Traditional safety monitoring mainly relies on manual checks and basic methods, which have problems like limited coverage, slow response, and biased judgments, lacking real-time protection. This paper introduces an integrated construction safety and environmental monitoring system. It combines computer vision, IoT sensors, and data analytics within a PyQt5 framework. The system uses image processing to detect safety helmets in real time and sensors to monitor environmental parameters like temperature and humidity. Data is transmitted via MQTT protocol, with multi-layer visualization for simultaneous monitoring of helmet compliance, temperature, and humidity. It also conducts intelligent analysis based on predefined thresholds, including automatic report generation, temporal pattern analysis, and predictive risk assessment. Tests show the system runs well, providing a foundation for future expansion.
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