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

Abstract

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.

Digital Twin for Indoor Disaster in Smart City: A Systematic Review

“…Insufficient real-time information and a complicated indoor navigation approach contribute less research related to indoor disasters than normal outdoor disasters. This is also stressed by (Liu et al, 2020) in the research and the author has proposed an indoor safety management system (ISMS) that utilise the use of IoT sensors and support vector machines (SVM). Time is the essence and the most critical element in any disaster management in reducing casualties and property damages.…”

“…(M. concludes that BIM has contributed significantly in the Architecture, Engineering and Construction -Facilities Management (AEC-FM) industry with the capability to support the construction process, visualise the building elements or even provide an insight into the indoor environment. However, BIM is commonly associated with static data and does not have any real-time information (Alshammari et al, 2021;Liu et al, 2020) This is where BIM becomes useful with the integration of IoT technologies.…”

“…As the IoT technologies are widely progressing, the linking of BIM and IoT will achieve a cyber-physical system that will produce smart buildings (Alshammari et al, 2021) and in the same vein, (Liu et al, 2020) suggest that the combination of IoT and BIM with the customising algorithm will improve the indoor safety management of buildings. For that reason, it is important to prepare a cybersecurity layer on top of the rich data and (Alshammari et al, 2021) has proposed several recommendations to tackle the issue.…”

Application of Building Information Modelling (BIM) in the Health Monitoring and Maintenance Process: A Systematic Review

“…There have been some limitations in these fields of study that need exact consideration: for example, increasing power supply capacity or introducing an additional power supply for gas detection components, and increasing the intelligent functions of the system for best performance in fire emergency scenes or low-dose hazardous gas exposures [ 227 ]. Various studies have been conducted related to using BIM to reduce risks in monitoring, such as integrating BIM for fire response operations, dynamic monitoring of fire after ignition, preserving the safety of equipment, fire prevention, BIM-framework for monitoring indoor environmental quality subway stations, combining BIM models and wireless sensor data for monitoring worker safety, building indoor safety management with Internet of Things (IoT) and BIM, monitoring thermal comfort with BIM, navigation systems of tower crane for blind lifts with BIM, supporting fire rescue methods, monitoring hazardous gas, controlling the hazards of working in confined space and real-time air dust monitoring with BIM for protection of workers [ 132 , 136 , 148 , 227 , 228 , 229 , 230 , 231 , 232 , 233 , 234 , 235 , 236 , 237 , 238 , 239 , 240 , 241 ].…”

Intelligent Prediction Method for Operation and Maintenance Safety of Prestressed Steel Structure Based on Digital Twin Technology

“…ree finite element (FE) models of the bridge, including a design document-based FE model, a linearly updated FE model, and a nonlinearly updated FE model, are established to demonstrate the necessity of the digital twin-based assessment. Scholar Liu et al [27] proposed a digital twin-driven dynamic guidance method for fire evacuation, which realized the real-time collection of environmental information, threedimensional visualization of indoor layout, fire alarm, indoor personnel positioning, evacuation route planning, and other functions. In another study of the author [28], through the establishment of a multi-dimensional digital twin model of prestressed steel structure, using relevant structural historical data to train support vector machines and prediction models, a good evaluation and prediction model was obtained.…”