Abstract
Keeping civil construction workers safe is an important challenge due to working conditions and low technological support due to the inherent costs. This work surveys the literature and proposes a scalable framework for monitoring workers to minimize the response time with real-time warnings in hazardous situations or safety incidents. From the literature, it was possible to devise a gap in business addressing this problem. To address this problem, this work proposes an IoT scalable framework able to scale to a large number of civil construction companies with a large number of workers in order. The results from this work demonstrate the feasibility of the proposed framework and the low cost of the IoT solution and the scalability of the framework offers the opportunity to leverage new innovative business models capable to leverage their revenues.
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Acknowledgements
This work is funded by National Funds through the FCT - Foundation for Science and Technology, I.P., within the scope of the project Ref\(^{\underline{\textrm{a}}}\) UIDB/05583/2020. Furthermore, we would like to thank the Research Centre in Digital Services (CISeD) and the Polytechnic of Viseu for their support.
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Ferreira, C. et al. (2023). An Intelligent and Scalable IoT Monitoring Framework for Safety in Civil Construction Workspaces. In: de la Iglesia, D.H., de Paz Santana, J.F., López Rivero, A.J. (eds) New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence. DiTTEt 2022. Advances in Intelligent Systems and Computing, vol 1430. Springer, Cham. https://doi.org/10.1007/978-3-031-14859-0_6
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DOI: https://doi.org/10.1007/978-3-031-14859-0_6
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