An RTLS-Based Approach to Cyber-Physical Systems Integration in Design and Construction
Open accessAbstract
There have been several approaches to integrating physical construction components and their virtual models using RFID tags. These enable the movement of components to be tracked on the construction site. However, there is inadequate support for bidirectional coordination between these components and their virtual representations. Also, these approaches often involve manual input of status information into the tags and do not support tracking the permanent installed position of tagged components for consistency maintenance between the as-built and the as-planned models. As such, there are difficulties with ensuring accurate and timely updating of building information models and tag information during the construction process. A major bottleneck in achieving this integration is the choice of appropriate mechanisms for binding physical components with their virtual representations. This paper presents an approach to facilitating bidirectional coordination between physical construction components and their virtual models. Specialized real-time location sensing (RTLS) tags were used for tracking the position and status of physical construction components. This approach showed significant opportunities for enhancing real-time construction consistency checking, which will aid proactive decision making and control. The paper also discusses experiments undertaken to demonstrate the proposed RTLS-based system and highlights the merits and demerits of adopting the proposed approach on a full-scale project.
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Cyber-physical systems ensure seamless integration between the virtual and physical models.
“The cyber-physical systems ensure seamless integration between the virtual and physical models (Akanmu et al, 2012;Akanmu et al, 2013;Akanmu and Anumba, 2015).”
From A review of digital twin applications in construction (2022) · cites this paper as Akanmu et al, 2012
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A review of digital twin applications in construction
Madubuike, O. C., Anumba, C. J., & Khallaf, R. (2022) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2022.008 · Cited by 147 · see citing works
“Sivalingam et al. (2018) identified that the factors that increased the cost of offshore power generation leading to increased O&M include failed transfer of technicians onto turbines, abandonment of technicians at the turbines due to unfavorable weather conditions, and failure of technicians to perform maintenance du…”
BackgroundInfluentialSelf-citation
- Authors
- Akanmu, A. A., Anumba, C. J., & Messner, J. I.
- Affiliations
- Western Michigan University (US)
- Pennsylvania State University (US)
- Corresponding author
- Akanmu, Abiola A.
- Venue
- International Journal of Distributed Sensor Networks
- Publisher
- SAGE Publications
- Published
- 2012-12-24
- Volume
- 8
- Issue
- 12
- Pages
- 596845
- ISSN
- 1550-1329 (ISSN-L)
- 1550-1477
- OpenAlex
- W2030743048
- Cited by
- 24
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 2 · 2020: 4 · 2019: 1 · 2018: 3 · 2017: 1 · 2016: 1 · 2013: 2
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- International Journal of Distributed Sensor Networks (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Physical Sciences › Engineering › Media Technology › RFID technology advancements
- Keywords
- real-time location systems, cyber-physical systems, building information modeling, RFID, construction decision-making
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