Reasoning about Building Systems and Content to Support Vulnerability Assessment in Building Emergencies

Leite, Fernanda; Akinci, Burcu

doi:10.1061/(asce)cp.1943-5487.0000214

Cited by 6 publications

(3 citation statements)

References 8 publications

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“…In the previous research conducted by Leite and Akinci [6][7], they proposed an ontology model with four classes for handling building emergency events, i.e., Content, ContentType, BuildingSystemSupply, and Threat. ContentType is defined as the type of an asset within a building.…”

Section: Related Workmentioning

confidence: 99%

Combining Building Information Modeling and Ontology to Analyze Emergency Events in Buildings

Liu

Jeng

Chang

et al. 2018

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

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Building information modeling (BIM) is a new technology that supports lifecycle information management for buildings. Ontology, derived from philosophy, is another technology utilized to describe real-world entities and to infer their semantic relationships. Each year disasters such as fires, earthquakes and floods affect not only buildings but all occupants inside, and hence, identification of critical building elements and devices vulnerable to a disaster is a must in order to perform countermeasures to ensure the safety of lives and property. At present, many simulation-based tools such as FDS have been successfully employed to mimic the impact of a disaster. Nevertheless, most of such approaches consider only the spatial or geometry data of a building. Other building-related attributes such as materials and equipment that certainly influence how a disaster proceeds have not been thoroughly examined. Thus, this research develops BIM plug-in programs to extract not only geometry but building materials and equipment/devices information in order to craft a disaster-specific ontology. Semantic relationships are modeled using Semantic Web Rule Language (SWRL) constructs, so as to represent the interdependencies among building elements and devices under a given disaster. The combined approach can accommodate not only spatial relationships but functional constraints pertaining to internal building elements and devices. It may help disaster mitigation officials forecast and assess the impact and progress of a disaster. A train station was utilized to demonstrate the proposed approach, with focuses on the fire and flood types of disasters. Better disaster mitigation strategies can be prepared if the proposed approach is adequately utilized.

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Section: Related Workmentioning

confidence: 99%

Combining Building Information Modeling and Ontology to Analyze Emergency Events in Buildings

Liu

Jeng

Chang

et al. 2018

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

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“…In the operation stage, BIM can be used for accurate building property management, and the intelligent management and maintenance of equipment. The operators can perform active and automatic project maintenance and management throughout the whole life-cycle of the project [17][18][19][20][21].…”

Section: Features and Problems Of Bimmentioning

confidence: 99%

Application of Cloud Storage on BIM Life-Cycle Management

Ding

2014

International Journal of Advanced Robotic Systems

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Because of its high information intensity, strong consistency and convenient visualization features, building information modelling (BIM) has received widespread attention in the fields of construction and project management. However, due to large amounts of information, high integration, the need for resource sharing between various departments, the long time-span of the BIM application, challenges relating to data interoperability, security and cost all slow down the adoption of BIM. This paper constructs a BIM cloud storage concept system using cloud storage, an advanced computer technology, to solve the problem of mass data processing, information security, and cost problems in the existing application of BIM to full life-cycle management. This system takes full advantage of the cloud storage technique. Achievements are reached in four areas of BIM information management, involving security and licensing management, file management, work process management and collaborative management. The system expands the time and space scales, improves the level of participation, and reduces the cost of BIM. The construction of the BIM cloud storage system is one of the most important directions of the development of BIM, which benefits the promotion and further development of BIM to better serve construction and engineering project management.

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“…Furthermore, the computable graphic and semantic information embedded in BIM models, such as the fire-rating attributes of building components and the connectivity of spaces, can support decision-making for emergency management purposes. Current BIM applications for emergency management can generally be categorized into three groups: 1) risk assessment, which includes asset [7] and occupancy safety risks [8]; 2) safety education, in which BIM is used as a virtual tool to simulate emergency scenarios [8,9]; and 3) emergency response, which includes facilitating occupant localization [10] and optimizing the layout of firefighting equipment for first responders [11] and escape routes for occupants [8,12]. The feasibility and value of BIM use in emergency management have been elucidated in a number of studies, and the trend towards integrating BIM into emergency management will continue.…”

Section: Introductionmentioning

confidence: 99%

A BIM-Based Coordination Support System for Emergency Response

et al. 2021

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In fire emergencies, timely communication with on-site coordinators and accurate localization of first responders facilitates effective task assignment and resource allocation in harsh, low-visibility environments. Building information modeling (BIM) is widely accepted in the architecture, engineering, and construction industries as a central repository of building information. It could provide both the geometric building data and semantic information; however, the convenient linkage and integration with indoor location technologies for emergency purposes have not been addressed according to the author knowledge. A stand-alone BIM-based indoor location (BIMIL) framework and portal were designed and tested to enable the automatic extraction, transformation, and visualization of BIM-related data for public safety purposes in this study. Based on current information technology, this research reduces the gap in cross-application by supporting indoor location to overcome the primary shortcoming of existing indoor building models. Eliminating the need for specific software and skill in data processing, this portal will support on-site coordinators' importation of BIM files, allowing them to convert those files into processed and visualized indoor information containing key yet simplified geometric building data and essential emergency-related information such as fire rating hours, egresses, and hazardous materials. Additionally, the indoor location data can be integrated into a generalized 3D building model to support decision-making activities and management tasks in the field.

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Reasoning about Building Systems and Content to Support Vulnerability Assessment in Building Emergencies

Cited by 6 publications

References 8 publications

Combining Building Information Modeling and Ontology to Analyze Emergency Events in Buildings

Combining Building Information Modeling and Ontology to Analyze Emergency Events in Buildings

Application of Cloud Storage on BIM Life-Cycle Management

A BIM-Based Coordination Support System for Emergency Response

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