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Al-Bayati, A J; Chellappa, V (2025) Identifying desirable safety actions of upper management to foster higher levels of construction safety culture. Journal of Construction Engineering and Management, 151(7).
Al-Khiami, M I; Lindhard, S M; Wandahl, S (2025) Paradox in practice: Work-related musculoskeletal disorder prevalence and reporting among construction workers in Kuwait and Denmark. Journal of Construction Engineering and Management, 151(7).
Alshboul, O; Shehadeh, A; Tamimi, M (2025) Sustainability-focused pavement management under climate variability. Journal of Construction Engineering and Management, 151(7).
Bayona, A; Hallowell, M R; Bhandari, S; Moyen, N; Lien, A (2025) Impact of energy-based safety training on quality of prejob safety meetings and control of hazardous energy in construction: Multiple baseline experiment. Journal of Construction Engineering and Management, 151(7).
Cao, Q; Zou, X; Zhang, L (2025) A flexible scheduling framework for repetitive construction projects based on constraint programming. Journal of Construction Engineering and Management, 151(7).
Chan, I Y S; Ma, P; Ho, T Y K (2025) Impacts of relational and formal governance on information sharing and project management performance in collaborative contracts: A mixed-method approach. Journal of Construction Engineering and Management, 151(7).
Chen, H; Dong, Z; Chan, I Y S (2025) Biometric evaluation and immersive construction environments: A research overview of the current landscape, challenges, and future prospects. Journal of Construction Engineering and Management, 151(7).
Ghalenoei, N; Babaeian Jelodar, M; Paes, D; Sutrisna, M; Rahmani, D (2025) Offsite construction and BIM integration framework across project life cycle. Journal of Construction Engineering and Management, 151(7).
Hua, X; Zhang, S; Shi, X; Zhang, Y (2025) Differences in risk analysis between workers and managers: Study from the perspective of neuroscience. Journal of Construction Engineering and Management, 151(7).
Jezzini, Y; Assaad, R H; El-Adaway, I H (2025) Modeling framework to quantify and gauge project cost risks due to construction material price volatilities using predictive probabilistic deep-learning algorithms and stochastic risk modeling. Journal of Construction Engineering and Management, 151(7).
Li, C Z; Gao, T; Chen, Z; Wu, H; Deng, Y; Tam, V W Y; Le, K N (2025) Exploring the power of laser scanning technology toward smart construction: Status quo, challenges, and future directions. Journal of Construction Engineering and Management, 151(7).
Li, L; Cheng, M; Tu, K; Ding, R; Zhang, J; Xu, B (2025) Human-machine interface based on constraint velocity polytope for safe and efficient operation of large-size hydraulic manipulator. Journal of Construction Engineering and Management, 151(7).
Ma, Q; Cheung, S O (2025) Augmenting the incentivizing power of target cost contracting in integrated project delivery. Journal of Construction Engineering and Management, 151(7).
Moussa, A; Ezzeldin, M; El-Dakhakhni, W (2025) Data-driven assessment of complexity-induced risks in infrastructure projects. Journal of Construction Engineering and Management, 151(7).
Peng, L; Man, S S; Chung, H T; Chan, A H S; Zhang, Z (2025) Prospective workers' perceptions of crane operation risks: Using a pairwise comparison. Journal of Construction Engineering and Management, 151(7).
Poudel, O; Assaad, R H (2025) A real-time intelligent acoustic IoT-enabled embedded construction site monitoring and alert system: Integrating deep learning-based machine-listening algorithms, edge computing, and cloud computing. Journal of Construction Engineering and Management, 151(7).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/JCEMD4.COENG-15938
- Abstract:
Acoustic-based construction site monitoring approaches have attracted recent interest due to their advantages compared to other methods. Previous relevant studies have many limitations, including narrowly focusing on sounds related to a specific/limited application without offering comprehensive monitoring capabilities of various construction site-related activities; tackling the software-side (or computational aspects) with limited work on hardware IoT-enabled embedded devices that could be used for real-time data collection, analysis, and edge computation; and lacking cloud-computing and visualization capabilities needed to improve data accessibility, storage, interpretation, and communication. This paper addresses these research gaps by developing a real-time intelligent IoT-enabled embedded acoustic-based sensing system for construction site monitoring by integrating machine listening techniques based on deep learning algorithms, edge computing based on Wi-Fi and bluetooth low energy (BLE)-enabled embedded systems, and cloud computing based on Amazon Web Services EC2. This study designed an automated monitoring system that uses convolutional recurrent neural networks to interpret construction site audio data with an accuracy of 89.13% across 14 classes of various audio related to different construction site aspects categorized into equipment and work activities, weather/environmental conditions, possible hazards, and workforce-related. The paper also developed a smartphone application to facilitate immediate and targeted alerts to relevant stakeholders. Finally, the proposed approach was tested in various construction workshops and environments. This paper's contributions are reflected by offering an unprecedented technological workflow/architecture that integrates software and hardware innovative advancements in audio-based monitoring systems of construction jobsites across various types of sounds. The paper also adds to the body of knowledge by developing an integrated system of real-time IoT-enabled acoustic capabilities, utilizing modern machine listening techniques powered by cloud and edge computing to improve current construction-site surveillance systems. This paper has the promise to change the way construction sites are monitored and managed, thereby contributing to enhanced safety and efficiency in the construction industry.
Rasheed, U; Ordaz, C; Xu, X; Hu, Y; Li, S; Sutton, T; Cai, J (2025) Understanding the impact of teleoperation technology on the construction industry: Adoption dynamics, workforce perception, and the role of broader workforce participation. Journal of Construction Engineering and Management, 151(7).
Xue, H; Li Teh, K K; Ling, F Y Y (2025) Effects of crisis management leadership, perceived self-efficacy, and job performance on facility management professionals' job satisfaction in a crisis. Journal of Construction Engineering and Management, 151(7).
Yan, L; Wang, Y; Ning, Y (2025) Configuring governance mechanisms to improve the engineering consulting project performance. Journal of Construction Engineering and Management, 151(7).
Young, T; Hunter, J A; Bentley, S V; Millear, P; Alexander Haslam, S; Haslam, C (2025) A social identity intervention to improve mental health in construction workers. Journal of Construction Engineering and Management, 151(7).
Zhang, P; Sing, M C P; Guo, S; Chan, I Y S; Fung, I W H (2025) Causal factors of near misses and accidents in urban railway construction: A complex network approach. Journal of Construction Engineering and Management, 151(7).
Zu, F; Zhang, X (2025) Integrating a DfMA guideline matrix to facilitate value engineering workshops for construction projects. Journal of Construction Engineering and Management, 151(7).