Flynn, Mark, RazaviAlavi, SeyedReza and Gerami Seresht, Nima (2021) Real-Time Analytics and Visualisation of Construction Safety Data Generated Through a Cloud-Based Application. In: Proceedings of Centre for the Integrated Delivery of the Built Environment (IDoBE) on Uncertainties in the Built Environment: How can we build a resilient future in the new normal? Centre for the Integrated Delivery of the Built Environment (IDoBE), London. (In Press)
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Abstract
Within the construction industry, Health & Safety (H&S) is one of the leading concerns. Although a significant amount of H&S data is collected, they are not being used effectively for decision making. One of the main issues with using H&S data is that they are generated in an unstructured format, requiring time and effort to transform the data into useful information. Thus, this research aims to develop a cloud-based application to collect structured H&S field data from live construction sites. A prototype was developed using Microsoft Power Platform and Microsoft SharePoint cloud-based storage to demonstrate the practicality of the application. In this application, the structured data is automatically analysed against the required ISO 45001 H&S outputs. To enable informed and decisive decisions, real-time data analytics dashboards are created by Microsoft Power BI. The resultant analytics provides valuable insight into the safety climate of live construction sites.
Item Type: | Book Section |
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Additional Information: | IDoBE International Conference 2021: Uncertainties in the Built Environment: How can we build a resilient future in the new normal?; London; Conference date: 22-23 Nov 2021 |
Uncontrolled Keywords: | Cloud-based Application, Real-time Analytics, Safety Climate, Visualisation |
Subjects: | K900 Others in Architecture, Building and Planning |
Department: | Faculties > Engineering and Environment > Mechanical and Construction Engineering |
Related URLs: | |
Depositing User: | John Coen |
Date Deposited: | 12 Aug 2022 14:21 |
Last Modified: | 12 Aug 2022 14:30 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/49842 |
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