The Concept of Digital Twin for Construction Safety
Publication: Construction Research Congress 2022
ABSTRACT
“Digital twins” as models for information-driven management and control of physical systems have emerged over the past years in multiple industrial sectors and recently also in construction. However, in the domain of construction safety, a digital twin remains undefined, with little or no consensus among researchers and practitioners of two essential aspects: (1) the connection between the physical reality of a construction site (the “physical” twin) and the corresponding computer model (the “digital” twin), and (2) the most effective selection and exploitation of real-life data for supporting safe design, planning, and execution of construction. This paper outlines the concept for a Digital Twin for Construction Safety (DTCS), defining three essential steps in the digital twin workflow: (1) safe design and planning for hazard prevention, (2) risk monitoring and control for proactive prediction and warning, and (3) continuous performance improvement for personalized- or project-based learning. DTCS should be viewed as a system-based approach enhancing the overall safety performance rather than exclusively integrating sensing information or safety knowledge in Building Information Modeling (BIM) for safety purposes. The result is an outline of our vision of the DTCS and a description of its components. Additionally, we point toward future research on the topic.
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REFERENCES
Beaney, M. (2018). Analysis, The Stanford Encyclopedia of Philosophy (Summer 2018 Edition), Edward N. Zalta (ed.), https://plato.stanford.edu/archives/sum2018/entries/analysis/.
BG Bau. (2019). Absturzsicherungen auf Baustellen, https://www.bgbau.de/fileadmin/Medien-Objekte/Medien/Bausteine/b_100/b_100.pdf (Last accessed February 28, 2020).
Chao, E. L., and Henshaw, J. L. (2002). Job Hazard Analysis. Occupational Safety and Health Administration, US Department of Labor.
Garrett, J. W., and Teizer, J. (2009). “Human Factors Analysis Classification System Relating to Human Error Awareness Taxonomy in Construction Safety”. Construction Engineering and Management, 135(8), 754–763, doi.org/10.1061/(ASCE)CO.1943-7862.0000034.
Laudan, L. (1978). Progress and Its Problems: Towards a Theory of Scientific Growth, Vol. 282. University of California Press, Berkeley, California, USA.
Li, B., Schultz, C., Melzner, J., Golovina, O., and Teizer, J. (2020). “Safe and Lean Location-based Construction Scheduling.” 37th ISARC, https://doi.org/10.22260/ISARC2020/0195.
OSHA (Occupational Safety and Health Administration). (2020). Commonly used statistics, www.osha.gov/data/commonstats, (Feb. 28, 2020).
Rozenfeld, O., Sacks, R., Rosenfeld, Y., and Baum, H. (2010). Construction job safety analysis, 48, 491–498, https://doi.org/10.1016/j.ssci.2009.12.017.
Sacks, R., Koskela, L., Dave, B., and Owen, R. L. (2010). “The interaction of lean and Building Information Modeling in construction.” Journal of Construction Engineering and Management 136, 968–980. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000203.
Sacks, R., Brilakis, I., Pikas, E., Xie, H., and Girolami, M. (2020). “Construction with digital twin information systems.” Data-Centric Engineering, Cambridge University Press.
Tao, F., Zhang, M., and Nee, A. Y. C. (2019). Digital Twin Driven Smart Manufacturing. Academic Press, London, UK.
Toole, T. M., and Gambatese, J. (2008). “The Trajectories of Prevention through Design in Construction.” Safety Research, 39(2), 225–230, https://doi.org/10.1016/j.jsr.2008.02.026.
Teizer, J. (2016). “Right-time vs. Real-time Pro-active Construction Safety and Health System Architecture”, Construction Innovation: Information, Process, Management, Emerald, 16(3), 253–280, https://doi.org/10.1108/CI-10-2015-0049.
Zhang, S., Boukamp, F., and Teizer, J. (2015). “Ontology-Based Semantic Modeling of Construction Safety Knowledge: Towards Automated Safety Planning for Job Hazard Analysis (JHA)”, Automation in Construction, 52, 29–41, http://www.itcon.org/2015/19.
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Published online: Mar 7, 2022
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