Developing a smart hard hat for employees who work on construction sites.
Keywords:
IOT, CONSTRUCTION SITES, industry workersAbstract
The Internet of Things has become a big world that contains many features and specialists that facilitated life and facilitated other things. As it is a system consisting of several computing devices, digital and mechanical machines, and things linked to each other through unique identifiers that transfer data over the network. The Internet of Things ecosystem contains smart devices that use embedded systems such as sensors, processors, and communication devices. All data is sent to another place where the data is analyzed. This project will be focusing on the proposal of an IoT base solution, which is a wireless sensor network (WSN) to develop a smart hard hat to monitor the workers’ health conditions, safety, and location on construction sites. This will happen while investigating the challenges and the risks of the hard hat, and in the field of construction sites. Moreover, analyzing the current solution of developing the smart hardhat, and Proposing IoT based solution to enhance the smart hard hat functionality which improves the general safety of employees and workers. Lastly, it will be evaluated to find the appropriate functionality sensors of the developed Hard Hat. Kanban is an important central component of "lean" manufacturing. There are five main steps to implementing the Kanban system. The first step is visualizing the workflow. Secondly, apply Work-in-Process (WIP) limits. Thirdly, policy clarity. Fourthly, flow measurement and management. Moreover, the last step is iterative optimization with data.
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Jayasree, V., & Kumari, M. N. (2020, July 1). IOT Based Smart Helmet for Construction Workers. IEEE Xplore. https://doi.org/10.1109/ICSSS49621.2020.9202138
Aliyev, A., Zhou, B., Hevesi, P., Hirsch, M., & Lukowicz, P. (2020). HeadgearX: a Connected Smart Helmet for Construction Sites. https://doi.org/10.1145/3410530.3414326
R. Hasan, S. Asif Hussain, S. Azeemuddin Nizamuddin and S. Mahmood, "An Autonomous Robot for Intelligent Security Systems," 2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC), Shah Alam, Malaysia, 2018, pp. 201-206, doi: 10.1109/ICSGRC.2018.8657642.
Shrestha, K., Shrestha, P. P., Bajracharya, D., & Yfantis, E. A. (2015). Hard-Hat Detection for Construction Safety Visualization. Journal of Construction Engineering, 2015, 1–8. https://doi.org/10.1155/2015/721380
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