IFC-Based Development of As-Built and As-Is BIMs Using Construction and Facility Inspection Data: Site-to-BIM Data Transfer Automation

Hamledari, Hesam; Azar, Ehsan Rezazadeh; McCabe, Brenda

doi:10.1061/(asce)cp.1943-5487.0000727

Cited by 91 publications

(44 citation statements)

References 43 publications

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“…Other research studies developed a semi-automated approach to enable quality control of as-built BIM models [92,93]. One article out of the nine reviewed articles in this area tackled the interoperability issue and proposed an automated real-time and interoperable method to perform the site-to-BIM data transfer to facilitate the process of generating accurate as-built BIM models [94]. To generate as-built BIM models for FM use, the future agenda involves: (1) developing an automated checking process with COBie for FM use to improve FM information quality, (2) integrating rich semantic data in as-built BIM models by using recognition techniques, and (4) automating data extraction and transfer for information exchange and integration purposes.…”

Section: Category: Existing Building Audits and Surveysmentioning

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

124

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Section: Category: Existing Building Audits and Surveysmentioning

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

124

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“…To maximize its practical use as part of the research context (Figure 1), the method was designed while taking into consideration its effects on the accuracy of downstream applications. In this research, the resulting UAVcaptured images are used by techniques previously developed by the authors including computer vision-based progress detection (Hamledari et al 2017a) automated development of as-built 4D BIMs (Hamledari et al 2017c;Hamledari et al 2017b), and automated semantically rich as-built and as-is BIM development (Hamledari et al 2018). Hence, the design automation for UAV mission planning directly benefits these application domains.…”

Section: The Methodsmentioning

confidence: 99%

UAV Mission Planning Using Swarm Intelligence and 4D BIMs in Support of Vision-Based Construction Progress Monitoring and As-Built Modeling

Hamledari

Davari

Sajedi

et al. 2018

Construction Research Congress 2018

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Inspection planning is a primary element of computer vision-and unoccupied aerial vehicle (UAV)-enabled construction monitoring. Prior to the on-site deployment of camera-mounted UAVs, the inspection objectives need to be identified, and optimal inspection plans must be developed; Such plans should ensure complete data acquisition and minimize the use of UAV's limited flight time. The image capture configuration must be taken into account since it directly affects the downstream applications of the captured data such as progress detection and as-built modeling. This paper proposes a framework and a novel technique which utilizes four-dimensional (4D) building information models (BIM) and swarm intelligence to automatically generate the UAV inspection mission plans. It computationally supports both static and dynamic site layouts. The inspection objectives, their geometry, and their semantics are automatically extracted from BIM, and the corresponding elements are identified. An optimal inspection plan is developed using artificial intelligence, ensuring complete coverage of inspection targets while minimizing flight duration. The method has been tested in UAV-enabled data acquisition scenarios. It is based on the industry foundation classes (IFC), facilitating OpenBIM and reducing the costs associated with the lack of interoperability, a core challenge in information modeling. Due to the target extraction at element and sub-element levels, it supports computer vision-based construction progress monitoring and automated as-built and as-is BIM development.

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“…This depends largely on the type of facilities and on the operations to be carried out. Among the necessary data, Hamledari et al indicate the details associated with the inspection process, such as the person/organisation responsible, defects, as-built type, as-designed type, data capture tools, time/date of the inspection, the inspector's notes and the images captured [20]. Gao et al begin, instead, from a more detailed analysis of the components to be detected on-site, starting from the OmniClass classification and integrating it with data fields in a COBie worksheet [21].…”

Section: Requirement Analysismentioning

confidence: 99%

Mixed ReaIity Approach for the Management of Building Maintenance and Operation

Naticchia¹,

Corneli²,

Carbonari³

et al. 2018

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

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Building Information Modelling (BIM) has been indicated as the right tool to provide the construction industry with the productivity boost that has been lacking in the last 40 years. This momentum finds its highest fulfilment in the support provided by BIM models to knowledge management and the automation of process. However, the management of information flow is still far from its automation breakthrough and, as far as operation and maintenance are concerned, knowledge about procedures is often incomplete. Moreover, processes are often do not undergo optimisation and the individual steps to be performed are not communicated, but in facility management (FM) the transmission of know-how is fundamental particularly because some operations are dangerous or risky. In this framework, Mixed Reality (MR) represents a powerful means to communicate the correct data concerning both geometric features to be considered and the standard procedure to be followed. The aim of this paper is to investigate the possibility of exploiting the benefits provided by these technologies to achieve automation in the transmission of information and optimisation of procedures, improving efficiency and productivity thanks to a better understanding of the operations to be carried out and the reduction of errors. With the support of a head-mounted display (HDM) device with a see-through screen capable of presenting 3D virtual objects, this research tries to combine information from a BIM model with reality to study the benefits for maintenance personnel.

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IFC-Based Development of As-Built and As-Is BIMs Using Construction and Facility Inspection Data: Site-to-BIM Data Transfer Automation

Cited by 91 publications

References 43 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

UAV Mission Planning Using Swarm Intelligence and 4D BIMs in Support of Vision-Based Construction Progress Monitoring and As-Built Modeling

Mixed ReaIity Approach for the Management of Building Maintenance and Operation

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