An approach for facilities manager to reducing risks in gas pipelines through sensors and data intelligentization in BIM
Journal of Facilities Management
ISSN: 1472-5967
Article publication date: 13 September 2023
Issue publication date: 2 January 2025
Abstract
Purpose
Gas transmission pipelines are at constant risk of gas leakage or fire due to various atmospheric environments, corrosion on pipe metal surfaces and other external factors. This study aims to reduce the human and financial risks associated with gas transmission by regularly monitoring pipeline performance, controlling situations and preventing disasters.
Design/methodology/approach
Facility managers can monitor the status of gas transmission lines in real-time by integrating sensor information into a building information modeling (BIM) 3D model. Using the Monitoring Panel plugin, coded in C# programming language and operated through Navisworks software, the model provides up-to-date information on pipeline safety and performance.
Findings
By collecting project information on the BIM and installing critical sensors, this approach allows facility manager to observe the real-time safety status of gas pipelines. If any risks of gas leakage or accidents are identified by the sensors, the BIM model quickly shows the location of the incident, enabling facility managers to make the best decisions to reduce financial and life risks. This intelligent gas transmission pipeline approach changes traditional risk management and inspection methods, minimizing the risk of explosion and gas leakage in the environment.
Originality/value
This research distinguishes itself from related work by integrating sensor data into a BIM model for real-time monitoring and providing facility managers with up-to-date safety information. By leveraging intelligent gas transmission pipelines, the system enables quick identification and location of potential hazards, reducing financial and human risks associated with gas transmission.
Keywords
Acknowledgements
Conflict of interest and Authorship conformation:
All authors have participated in (a) conception and design, or analysis and interpretation of the data; (b) drafting the article or revising it critically for important intellectual content; and (c) approval of the final version.
This manuscript has not been submitted to, nor is under review at, another journal or other publishing venue.
The authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript.
Citation
Alijani Mamaghani, O. and Zolfaghari, M. (2025), "An approach for facilities manager to reducing risks in gas pipelines through sensors and data intelligentization in BIM", Journal of Facilities Management, Vol. 23 No. 1, pp. 141-159. https://doi.org/10.1108/JFM-02-2023-0021
Publisher
:Emerald Publishing Limited
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