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Article

A Framework for an Indoor Safety Management System Based on Digital Twin

by 1,2,*, 1,2 and 3
1
College of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
2
Key Laboratory of Urban Security and Disaster Engineering of Ministry of Education, Beijing University of Technology, Beijing 100124, China
3
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(20), 5771; https://doi.org/10.3390/s20205771
Received: 5 September 2020 / Revised: 24 September 2020 / Accepted: 9 October 2020 / Published: 12 October 2020
(This article belongs to the Special Issue Machine Learning for IoT Applications and Digital Twins)
With the development of the next generation of information technology, an increasing amount of attention is being paid to smart residential spaces, including smart cities, smart buildings, and smart homes. Building indoor safety intelligence is an important research topic. However, current indoor safety management methods cannot comprehensively analyse safety data, owing to a poor combination of safety management and building information. Additionally, the judgement of danger depends significantly on the experience of the safety management staff. In this study, digital twins (DTs) are introduced to building indoor safety management. A framework for an indoor safety management system based on DT is proposed which exploits the Internet of Things (IoT), building information modelling (BIM), the Internet, and support vector machines (SVMs) to improve the level of intelligence for building indoor safety management. A DT model (DTM) is developed using BIM integrated with operation information collected by IoT sensors. The trained SVM model is used to automatically obtain the types and levels of danger by processing the data in the DTM. The Internet is a medium for interactions between people and systems. A building in the bobsleigh and sled stadium for the Beijing Winter Olympics is considered as an example; the proposed system realises the functions of the scene display of the operation status, danger warning and positioning, danger classification and level assessment, and danger handling suggestions. View Full-Text
Keywords: digital twin; Internet of Things; support vector machines; building information modelling; indoor safety management system digital twin; Internet of Things; support vector machines; building information modelling; indoor safety management system
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MDPI and ACS Style

Liu, Z.; Zhang, A.; Wang, W. A Framework for an Indoor Safety Management System Based on Digital Twin. Sensors 2020, 20, 5771. https://doi.org/10.3390/s20205771

AMA Style

Liu Z, Zhang A, Wang W. A Framework for an Indoor Safety Management System Based on Digital Twin. Sensors. 2020; 20(20):5771. https://doi.org/10.3390/s20205771

Chicago/Turabian Style

Liu, Zhansheng, Anshan Zhang, and Wensi Wang. 2020. "A Framework for an Indoor Safety Management System Based on Digital Twin" Sensors 20, no. 20: 5771. https://doi.org/10.3390/s20205771

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