A Digital Twin Conceptual Framework of Intelligent Evacuation Guidance Systems for Super High-Rise Buildings

Xinnan Liu (), Chongde Mo and Yingbo Ji
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Xinnan Liu: North China University of Technology
Chongde Mo: North China University of Technology
Yingbo Ji: North China University of Technology

Chapter Chapter 124 in Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, 2024, pp 1791-1801 from Springer

Abstract: Abstract Super high-rise buildings are characterized by high density of occupants and long vertical evacuation distance in staircases, which can easily cause congestion and lead to fatigue. Therefore, without effective evacuation guidance, crowding and trampling accidents are likely to occur in the vertical evacuation. Recently, intelligent guidance technology combining real-time monitoring on fire spread and personnel evacuation has become a research hotspot in the field of building safety evacuation. However, the focus of current research is on low-rise public buildings where horizontal evacuation is the main concern, and the existing intelligent guidance technology can hardly meet the demand for vertical evacuation in super high-rise buildings. This paper proposes five principles and a framework for the development of intelligent evacuation guidance systems in super high-rise buildings based on the digital twin technology. The system framework contains five dimensions: physical entities, virtual model, digital-twin data, optimization algorithm and application services, and can dynamically generate evacuation guidance paths for occupants based on the real-time situation of fire spread and people evacuation.

Keywords: Super high-rise buildings; Digital twin; Intelligent evacuation guidance systems (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-981-97-1949-5_125

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