Perspectives of Using Artificial Intelligence in Building Fire Safety

Huang, Xinyan; Wu, Xiaoni; Usmani, Asif

doi:10.1007/978-3-030-98685-8_6

Cited by 9 publications

(6 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AI is the science and engineering of creating intelligent machines with the ability to reason, learn, acquire knowledge, communicate, perceive, plan, and move and operate objects [63,64]. In recent years, AI has played a significant role in fire FSM, driving the development of smart firefighting [65,66]. One notable application of AI in fire safety is the development of a hybrid artificial neural network (ANN) model for fire scenario identification.…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

“…One notable application of AI in fire safety is the development of a hybrid artificial neural network (ANN) model for fire scenario identification. This model utilizes temperature data to evaluate the distribution of temperatures within a compartment fire [66,67]. Computer vision methods, specifically those based on convolutional neural networks (CNNs), have also been employed to identify the fire heat release rate (HRR) by extracting features from flame and smoke images.…”

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

See 1 more Smart Citation

Digital-Twin-Based Fire Safety Management Framework for Smart Buildings

Almatared,

Liu,

Abudayyeh

et al. 2023

Buildings

View full text Add to dashboard Cite

In recent years, the implementation of digital twin (DT) technology has gained significant attention in various industries. However, the fire safety management (FSM) sector has been relatively slow in adopting this technology compared to other major industries. Therefore, this study aims to explore the limitations, opportunities, and challenges associated with adopting DT technology in the FSM sector and further develop a DT-based FSM framework towards smart facility management (FM). To achieve this objective, this research started by reviewing several promising DTs for FSM, including building information modeling (BIM), the Internet of Things (IoT), artificial intelligence (AI), and augmented reality (AR). On this basis, a conceptual framework was synthesized in consideration of the benefits of each technology. A questionnaire was conducted for FM professionals to evaluate the proposed framework and identify the challenges of adopting DT in the FSM sector. The survey results reveal that the proposed framework can assist decision makers in obtaining comprehensive information about facilities’ communication among stakeholders. The survey results validate the potential of the adoption of DTs toward smart FM practices in FSM. The survey results provide insights into the perception of DT technology among FM practitioners and identify the current state of DT technology in the FSM sector, its expected benefits, and its potential challenges. The main barriers to adopting DTs in FSM are a lack of knowledge about DTs, their initial costs, user acceptance, difficulties in systems integration, education training costs, a lack of competence, development complexity, difficulties in data management, and a lack of trust in data security.

show abstract

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Section: Artificial Intelligence (Ai)mentioning

confidence: 99%

Digital-Twin-Based Fire Safety Management Framework for Smart Buildings

Almatared,

Liu,

Abudayyeh

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

“…In order to retrieve information based on time, the suggested framework incorporates BIM models, multisource facilities information, and feature-based monitoring in an MR-based setting. Further research to develop categories for fire protection equipment inspections using AI is conducted, and systems that can configure compiled data for AR visualization are developed and validated (Huang et al, 2022;Marzouk & Zaher, 2020;Xu et al, 2023).…”

Section: Fm Core Function: Finance and Businessmentioning

confidence: 99%

Are We There or Do We Have More to Do? Metaverse in Facility Management and Future Prospects

El Jaouhari,

Arif,

Samadhiya

et al. 2023

International Journal of Strategic Property Management

View full text Add to dashboard Cite

Businesses are eager to adopt new technologies such as augmented reality, blockchain, extended reality, and artificial intelligence, among others, as they see beneficial applications for strategic empowerment. As one of the technological disruptions, metaverse has caught the attention of the larger business community and facility management (FM) sector. In a world where various virtual realities converge, the hyper-connected digital universe known as the metaverse has the potential to fundamentally alter how FM and business interactions are conducted in the future. More people are spending time conducting business online, increasing the metaverse’s potential. Businesses are also making significant investments in the development of metaverse techniques. This study reviews the current literature to comprehend how metaverse techniques have shaped the building blocks of FM by looking at 206 papers. There is currently a dearth of functional metaverse research. This article aims to provide a thorough analysis of the integration of metaverse techniques for facility management. The review reveals several opportunities for further research into the FM-metaverse ecosystem, including improving data interoperability, enhancing the precision of point cloud data for as-built models of existing facilities, and producing efficient virtual property database integration.

show abstract

“…In recent years, the development of technologies and appropriate software for machine learning has been aimed at providing improved solutions for potential security threats and risks in the construction environment [126]. Huang et al [135] presented new concepts for the use of AI in building fire safety for predicting dangerous situations: AI and Big Data for predicting limiting design conditions to reduce the cost of fire protection systems; digital twins for fire extinguishing in a building, combining a network of IoT sensors to visualize smoke in buildings in real time; and Digital twins and a real-time AI-based fire prediction mechanism.…”

Section: Ai To Ensure the Safety Of Constructionmentioning

confidence: 99%

Artificial Intelligence Methods for the Construction and Management of Buildings

Ivanova,

Kuznetsov,

Zverev

et al. 2023

Sensors

View full text Add to dashboard Cite

Artificial intelligence covers a variety of methods and disciplines including vision, perception, speech and dialogue, decision making and planning, problem solving, robotics and other applications in which self-learning is possible. The aim of this work was to study the possibilities of using AI algorithms at various stages of construction to ensure the safety of the process. The objects of this research were scientific publications about the use of artificial intelligence in construction and ways to optimize this process. To search for information, Scopus and Web of Science databases were used for the period from the early 1990s (the appearance of the first publication on the topic) until the end of 2022. Generalization was the main method. It has been established that artificial intelligence is a set of technologies and methods used to complement traditional human qualities, such as intelligence as well as analytical and other abilities. The use of 3D modeling for the design of buildings, machine learning for the conceptualization of design in 3D, computer vision, planning for the effective use of construction equipment, artificial intelligence and artificial superintelligence have been studied. It is proven that automatic programming for natural language processing, knowledge-based systems, robots, building maintenance, adaptive strategies, adaptive programming, genetic algorithms and the use of unmanned aircraft systems allow an evaluation of the use of artificial intelligence in construction. The prospects of using AI in construction are shown.

show abstract

Perspectives of Using Artificial Intelligence in Building Fire Safety

Cited by 9 publications

References 58 publications

Digital-Twin-Based Fire Safety Management Framework for Smart Buildings

Digital-Twin-Based Fire Safety Management Framework for Smart Buildings

Are We There or Do We Have More to Do? Metaverse in Facility Management and Future Prospects

Artificial Intelligence Methods for the Construction and Management of Buildings

Contact Info

Product

Resources

About