A Comprehensive Approach to Real-time Site Monitoring and Risk Assessment in Construction Settings using Internet of Things and Artificial Intelligence

International Journal of Electrical and Electronics Engineering

© 2023 by SSRG - IJEEE Journal

Volume 10 Issue 8

Year of Publication : 2023

Authors : G. S. Arun Kumar, Ajay Roy, Rajesh Singh, Anita Gehlot, Mohammed Ismail Iqbal, Shaik Vaseem Akram

10.14445/23488379/IJEEE-V10I8P111

How to Cite?

G. S. Arun Kumar, Ajay Roy, Rajesh Singh, Anita Gehlot, Mohammed Ismail Iqbal, Shaik Vaseem Akram, "A Comprehensive Approach to Real-time Site Monitoring and Risk Assessment in Construction Settings using Internet of Things and Artificial Intelligence," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 8, pp. 112-126, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I8P111

Abstract:

In recent years, technological developments have peaked; more and more technologies are being introduced frequently and implemented into various sectors through applications not previously imagined. The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologies that have significantly impacted several industries such as Healthcare, Military, Transport, Construction, etc. As we know, on the one hand, construction sites are one of the most happening industries in this era due to significant developments like intelligent infrastructure, smart cities, etc. in the other hand, the construction industry is known for its complex and hazardous work environments which as a result are prone to numerous safety hazards and risk factors that can result in accidents, injuries, or even fatalities. Traditional monitoring and risk assessment approaches often fall short of providing real-time insights. However, by implementing cutting-edge technology stacks like IoT and AI, real-time site monitoring and risk assessment have become achievable, allowing construction companies to address potential dangers and improve safety measures proactively. By leveraging technologies, construction sites can collect real-time data, tracking equipment performance, site conditions, and worker safety. Along with this, the integration of AI enables advanced risk assessment methodologies, predicting potential hazards and identifying risks that may otherwise go unnoticed. This article will discuss a comprehensive approach to real-time site monitoring and risk assessment in construction settings using the Internet of Things (IoT) and Artificial Intelligence (AI). Our objective will be to design and develop a robust architecture of IoT nodes/devices that will communicate and extract real-time data of several parameters. Those data will then be analyzed using an artificial intelligence model to gain meaningful insight into the present condition and for risk assessment to prevent any danger to any human or asset and improve the efficiency of the work environment in specific noticeable metrics.

Keywords:

Internet of things, Artificial intelligence, Construction site, Safety, Risk assessment.

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