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Intelligent Construction Monitoring Systems: Foundations, Architectures, and Future Directions
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Author(s): Hewa Majeed Zangana (Duhok Polytechnic University, Iraq), Aquil Mirza Mohammed (Hong Kong Polytechnic University, Hong Kong), Marwan Omar (Illinois Institute of Technology, USA), Anuradha Rangarajan (Illinois Institute of Technology, USA), Faisal Kaleem (Metro State Applied Innovation Institute, USA), Jamal N. Al-Karaki (Zayed University, UAE)and Xinwei Cao (Jiangnan University, China)
Copyright: 2026
Pages: 48
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.ch001
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Abstract
The rapid digital transformation of the construction industry has driven the adoption of intelligent construction monitoring systems to enhance safety, productivity, and risk management in complex and dynamic project environments. These systems integrate advanced sensing technologies, artificial intelligence, Internet of Things (IoT) platforms, and data analytics to enable real-time observation, prediction, and decision-making throughout the construction lifecycle. This chapter presents a comprehensive overview of the foundations, system architectures, and emerging trends in intelligent construction monitoring systems. It examines key enabling technologies, including computer vision, machine learning, digital twins, and cloud–edge computing frameworks, and discusses how these components are orchestrated to support real-time safety monitoring, environmental impact prediction, and proactive risk mitigation.
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