BIM-based Data Mining Method considering Data Integration and Function Extension

Kang, Tae-Wook; Choi, Hyun Sang

doi:10.1007/s12205-017-0561-6

Cited by 23 publications

(14 citation statements)

References 15 publications

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“…The sub-category that is most investigated in this area is information integration, using different techniques, such as data warehouse [21], agent-based web services [22], linking data in the cloud [23,24], a relational database and real-time data [25,26], a semantic web ontology [27,28], and using data mining techniques to extract useful information from BIM models to support FM activities during the O &M phase [29,30]. Other studies focused on integrating different technological systems rather than integrating the required FM information, for instance, integrating BIM with RFID tags to capture lifecycle information (Motamedi and Hammad 2009); [31,32], applying machine learning concept and raw sensor data [33], 2D barcode and mobile devices [34], a BIM/GIS-based information extraction (Mignard and Nicolle 2014); [35].…”

Section: Sub-category: Life Cycle Information Integrationmentioning

confidence: 99%

Building information modeling for facilities management: A literature review and future research directions

Matarneh¹,

Danso-Amoako²,

Al-Bizri³

et al. 2019

Journal of Building Engineering

123

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Section: Sub-category: Life Cycle Information Integrationmentioning

confidence: 99%

Building information modeling for facilities management: A literature review and future research directions

Matarneh¹,

Danso-Amoako²,

Al-Bizri³

et al. 2019

Journal of Building Engineering

123

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“…For example, Gökçe and Gökçe [86] compare data extracted from BIM and other tools which use dynamic data to support decision-making, promoting building energyspecific monitoring and management capabilities (Z 1 ). [89] combined the rich building information in BIM with the data acquisition framework to propose an effective building energy management decision method (Z 1 ). e method helps managers realize the comprehensive utilization of space and energy management data and effectively manage building energy.…”

Section: Reducing Energy Consumption (Z 1 )mentioning

confidence: 99%

Adopting Building Information Modeling (BIM) for the Development of Smart Buildings: A Review of Enabling Applications and Challenges

Yang

Han

Zeng

et al. 2021

Advances in Civil Engineering

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The construction industry is undergoing a digital revolution due to the emergence of new technologies. A significant trend is that construction projects have been transformed and upgraded to the digital and smart mode in the whole life cycle. As a critical technology for the construction industry’s innovative development, building information modeling (BIM) is widely adopted in building design, construction, and operation. BIM has gained much interest in the research field of smart buildings in recent years. However, the dimensions of BIM and smart building applications have not been explored thoroughly so far. With an in-depth review of related journal articles published from 1996 to July 2020 on the BIM applications for smart buildings, this paper provides a comprehensive understanding and critical thinking about the nexus of BIM and smart buildings. This paper proposes a framework with three dimensions for the nexus of BIM application in smart buildings, including BIM attributes, project phases, and smart attributes. According to the three dimensions, this paper elaborates on (1) the advantages of BIM for achieving various smartness; (2) applications of BIM in multiple phases of smart buildings; and (3) smart building functions that be achieved with BIM. Based on the analysis of the literature in three dimensions, this paper presents the cross-analysis of the nexus of BIM and smart buildings. Lastly, this paper proposes the critical insights and implications about the research gaps and research trends: (1) enhancing the interoperability of BIM software; (2) further exploring the role of BIM in the operation and refurbishment phase of smart buildings; (3) paying attention to BIM technology in the field of transportation infrastructure; (4) clarifying the economic benefits of BIM projects; and (5) integrating BIM and other technologies.

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“…Recently, researchers have worked on using BIM models in novel ways such as for energy and asset monitoring; furthermore, most of the studies have been concentrated on land-based infrastructures such as buildings and bridges [ 133 , 194 , 195 , 196 , 197 , 198 ]. O’Shea and Murphy [ 18 ] explored health monitoring and asset management of offshore environments, concentrating on the design of an integrated structural health sensor network for an existing offshore structure.…”

Section: Content Analysismentioning

confidence: 99%

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

Panah

Kioumarsi

2021

Sensors

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Improvements in the science of health monitoring and maintenance have facilitated the observation of damage and defects in existing structures and infrastructures, such as bridges and railways. The need to extend sensing technology through the use of wireless sensors as well as the lack of description tools for understanding, visualizing, and documenting sensor outputs has encouraged researchers to use powerful tools such as Building Information Modelling (BIM) systems. BIM has become important because of conducting tools widely used in the Architecture, Engineering, and Construction (AEC) industry to present and manage information on structural systems and situations. Since combining health monitoring and maintenance results with BIM models is a new field of study, and most projects utilize various aspects of it, we have conducted a review of important work related to this subject published from 2010 to November of 2020. After reviewing 278 journal articles, research trends, approaches, methods, gaps, and future agenda related to BIM in monitoring and maintenance were highlighted. This paper, through a bibliometric and content analysis, concludes that besides main improvements, some limitations now exist which affect the modeling and maintenance process. These limitations are related to extending the IFC schema, optimizing sensor data, interoperability among various BIM platforms, optimization of various sensing technologies for fault detection and management of huge amounts of data, besides consideration of environmental effects on monitoring hazards and underground objects. Finally, this paper aims to help to solve the mentioned limitation through a comprehensive review of existing research.

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BIM-based Data Mining Method considering Data Integration and Function Extension

Cited by 23 publications

References 15 publications

Building information modeling for facilities management: A literature review and future research directions

Building information modeling for facilities management: A literature review and future research directions

Adopting Building Information Modeling (BIM) for the Development of Smart Buildings: A Review of Enabling Applications and Challenges

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

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