Research in the International Journal of Critical Infrastructures describes a digital-twin system that could make safety monitoring on construction sites for high-rise buildings more effective. The system could allow accident risks to be identified as they appear rather than the site simply responding to hazards after the fact.
The team combined three techniques to build their system. First, they used an improved form of grey relational analysis, a statistical approach that works with incomplete data. Secondly, the incorporated local linear embedding reduces data complexity without compromising the relationships. Finally, they embedded a digital twin, a virtual representation of the physical construction site, linked to live measurements from the real environment.
Tests across 90 cases produced recall rates of around 96 to 99 per cent in under a second of processing time. The accuracy of risk factor identification was up to almost 98 per cent.
Fundamentally, accounting for interactions between hazards could help address risks that conventional systems overlook, including falls, struck-by incidents, collapses, mechanical injuries, and electric shocks. The short processing time will allow interventions to be made on-site in a more timely manner when conditions can change rapidly.
Deng, R. and Zhou, L. (2026) ‘Safety risk perception of high-rise building construction process based on digital twin technology’, Int. J. Critical Infrastructures, Vol. 22, No. 12, pp.1–23.
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