BIM integrated smart monitoring technique for building fire prevention and disaster relief

Cheng, Min‐Yuan; Chiu, Kuan-Chang; Hsieh, Yu‐Ming; Yang, I‐Tung; Chou, Jui‐Sheng; Wu, Yuwei

doi:10.1016/j.autcon.2017.08.027

Cited by 157 publications

(84 citation statements)

References 23 publications

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“…Recognizing the limitation of CAD models in terms of urban disaster prevention, Isikdage et al [20] proposed a model that combines the geospatial information of buildings and cities using the geographic information system and BIM. Cheng et al [21] conducted a study on an integrated system that can be used continuously for fire prevention during the countermeasure stages using BIM and a wireless sensor network. The proposed system can display a fire situation and an occupant's location data on a screen using real-time monitoring, and it can provide bidirectional route guidance between an occupant and a rescuer using mobile interworking and a light-emitting diode guiding device.…”

Section: Bim For Fire Disaster Management Systemsmentioning

confidence: 99%

Developing a Building Fire Information Management System Based on 3D Object Visualization

2020

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In a building fire disaster, a variety of information on hazardous factors is crucial for emergency responders, facility managers, and rescue teams. Inadequate information management limits the accuracy and speed of fire rescue activities. Furthermore, a poor decision-making process, which is solely dependent on the experiences of emergency responders, negatively affects the fire response activities. Building information modeling (BIM) enables the sharing of locations of critical elements and key information necessary for effective decision-making on disaster prevention. However, it is non-trivial to integrate and link the relevant information generated during the life cycle of the building. In particular, the information requirements for building fires should be retrieved in the BIM software because most of them have spatial characteristics. This paper proposes a prototype system for a building’s fire information management using three-dimensional (3D) visualization by deriving the relevant information required for mitigating building fire disasters. The proposed system (i.e., Building Fire Information Management System (BFIMS)) automatically provides reliable fire-related information through a computerized and systematic approach in conjunction with a BIM tool. It enables emergency responders to intuitively identify the location data of indoor facilities with its pertinent information based on 3D objects. Through scenario-based applications, the system has effectively demonstrated that it has contributed to an improvement of rapid access to relevant information.

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Section: Bim For Fire Disaster Management Systemsmentioning

confidence: 99%

Developing a Building Fire Information Management System Based on 3D Object Visualization

2020

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“…(1) Indoor localization of residents, who trapped in a building, inside the BIM model [24] (2) Integration of building information from BIM models with the location data sensed from IoT sensors and residents' mobile devices to compute the shortest route for evacuation [25,52,53] (3) Development of mobile applications for evacuation using BIM-based APIs [54], and (4) Integration of BIM, GIS and IoT sensors to support emergency response services at a wide urban scale [46,55].…”

Section: Review Of Relevant Literaturementioning

confidence: 99%

Utilizing a Building Information Modelling Environment to Communicate the Legal Ownership of Internet of Things-Generated Data in Multi-Owned Buildings

et al. 2019

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In multi-owned buildings, a community of residents live in their private properties while they use and share communal spaces and facilities. Proper management of multi-owned buildings is underpinned by rules related to health, safety, and security of the residents and visitors. Utilizing Internet of Things (IoT) devices to collect information about the livable space has become a significant trend since the introduction of first smart home appliances back in 2000. The question about who owns the IoT generated data and under what terms it can be shared with others is still unclear. IoT devices, such as security camera and occupancy sensors, can provide safety for their owners, while these devices may capture private data from the neighborhood. In fact, the residents are sometimes not aware of regulations that can prevent them from installing and collecting data from shared spaces that could breach other individuals’ privacy. On the other hand, Building Information Modelling (BIM) provides a rich 3D digital data environment to manage the physical, functional, and ownership aspects of buildings over their entire lifecycle. This study aims to propose a methodology to utilize BIM for defining the legal ownership of the IoT generated data. A case study has been used to discuss key challenges related to the ownership of IoT data in a multi-owned building. This study confirmed that BIM environment can facilitate the understanding of legal ownership of IoT datasets and supports the interpretation of who has the entitlement to use the IoT datasets in multi-owned buildings.

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“…In emergency management, Dijkstra has been used to find the shortest rescue path to victims [10]. A combination of BIM and Dijkstra was used for finding optimal evacuation/rescue routes [11].…”

Section: Literature Reviewmentioning

confidence: 99%

A Real-time Path-Planning Model for Building Evacuations

Mirahadi¹,

McCabe²

2019

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Simultaneous evacuation is the most widely used evacuation strategy in buildings. However, there are other evacuation strategies that might lead to safer outcomes if selected appropriately. Different forms of evacuation result from applying time delays to phased evacuation or altering path planning. The best strategy for evacuation depends on the characteristics of the building and the circumstances of the particular emergency. A real-time evacuation pathplanning model that identifies the fire hazard and proposes the best strategy of evacuation during the emergency can reduce risk and improve safety. In this paper, a model is proposed to find the safest strategy of evacuation based on the current state of the building and the emergency case. The model focuses on fire emergencies, as they are the dominant cause of fatalities in buildings compared to other types of natural and manmade disasters. The proposed model first defines a risk factor for each compartment based on the location of fire and then calculates the lowest risk path using Dijkstra algorithm. The pathplanning runs on the geometric network graph (GNG), which is generated from the IFC file of the building. Furthermore, unexpected events during evacuation, e.g. another source of fire, can force the system to search for another strategy. Herein, a model is designed to monitor the building in real-time and in case of any unexpected event, changes the evacuation plan accordingly. The case study shows that the proposed model for real-time evacuation management can significantly enhance the safety level of evacuation compared to the conventional simultaneous evacuation process.

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BIM integrated smart monitoring technique for building fire prevention and disaster relief

Cited by 157 publications

References 23 publications

Developing a Building Fire Information Management System Based on 3D Object Visualization

Developing a Building Fire Information Management System Based on 3D Object Visualization

Utilizing a Building Information Modelling Environment to Communicate the Legal Ownership of Internet of Things-Generated Data in Multi-Owned Buildings

A Real-time Path-Planning Model for Building Evacuations

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