Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Barriers and Risks in BIM-Embedded Design Collaboration: A Two-Mode Social Network Analysis Read chapter Read first chapter

2022 | OriginalPaper | Chapter

Cognitive Modular Building to Enhance User Wellbeing: An Insight from Literature Review on Potential Benefits, Design Considerations and Opportunities

Authors : Frank Ato Ghansah, Weisheng Lu, Xu Jinying

Published in: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Publisher: Springer Nature Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The long-lasting building issues affecting users’ wellbeing have necessitated for the adoption of advanced technologies in the field of architecture, engineering, construction and operation (AECO). Despite the individual contributions of the advanced technologies such as Cyber-Physical Systems (CPS), Digital Twins (DTs), Cognitive Computing (CC) and modular building (MB), which have been the subject of much research, greater benefits would be realized in enhancing user wellbeing if they are integrated. This paper identifies the individual benefits of CPS, DTs, CC, and MB, and then develops a conceptual framework showing their integrated benefits of producing cognitive MB to enhance user wellbeing at the facility management phase. Design considerations and opportunities in facility management were divulged for the successful application of cognitive MB. Cyber-attack was noted to be a potential threat to cognitive MB in the fourth industrial revolution; hence, overcoming it serves as a future research area. This study contributes to the knowledge on optimising MB to improve life and operations at the facility management phase leveraging advanced technologies.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Construction Contractor Selection by Using AHP Combined with Topsis
next chapter Embodied Carbon Footprint Analysis of Prefabricated Buildings Considering Assembly Schemes
Literature
1.
Abdelmageed, S., Zayed, T.: A study of literature in modular integrated construction-critical review and future directions. J. Clean. Prod. 277, 124044 (2020)CrossRef
2.
Martínez, E., Toma, D.M., Jirka, S., Del Río, J.: Middleware for plug and play integration of heterogeneous sensor resources into the sensor web. Sensors 17(12), 2923 (2017)CrossRef
3.
4.
Gibb, A., Pendlebury, M.: Glossary of Terms, vol. 39. Build-Off-Site: Promoting Construction Offsite, London (2006)
5.
Modular Building Institute (MBI): Permanent Modular Construction 2013 Annual Report, Modular Building Institute (2013)
6.
Pan, W., Zhang, Z., Yang, Y.: A Glossary of Modular Integrated Construction (2020)
7.
Boafo, F.E., Kim, J.H., Kim, J.T.: Performance of modular prefabricated architecture: case study-based review and future pathways. Sustainability 8(6), 558 (2016)CrossRef
8.
Woo, J.: A post-occupancy evaluation of a modular multi-residential development in Melbourne, Australia. Procedia Eng. 180, 365–372 (2017)CrossRef
9.
Wang, Z.L., Shen, H.C., Zuo, J.: Risks in prefabricated buildings in China: importance-performance analysis approach. Sustainability 11(12), 3450 (2019)CrossRef
10.
11.
Pan, W., Hon, C.K.: Briefing: modular integrated construction for high-rise buildings. In: Proceedings of the Institution of Civil Engineers-Municipal Engineer, vol. 173, issue number 2, pp. 64–68. Thomas Telford Ltd., June 2020
12.
Darko, A., Chan, A.P., Yang, Y., Tetteh, M.O.: Building information modeling (BIM)-based modular integrated construction risk management–Critical survey and future needs. Comput. Ind. 123, 103327 (2020)CrossRef
13.
Lee, J., Azamfar, M., Singh, J., Siahpour, S.: Integration of digital twin and deep learning in cyber-physical systems: towards smart manufacturing. IET Collab. Intell. Manuf. 2(1), 34–36 (2020)CrossRef
14.
Wu, C., Jiang, R., Li, X.: Integration of BIM and computer simulations in modular construction, a case study. In: Modular and Off-site Construction (MOC) Summit Proceedings (2016)
15.
Klinc, R., Turk, Ž: Construction 4.0–digital transformation of one of the oldest industries. Econ. Bus. Rev. 21(3), 393–410 (2019) CrossRef
16.
Tao, F., Qi, Q., Wang, L., Nee, A.Y.C.: Digital twins and cyber–physical systems toward smart manufacturing and industry 4.0: correlation and comparison. Engineering 5(4), 653–661 (2019)CrossRef
17.
Gupta, S., Kar, A.K., Baabdullah, A., Al-Khowaiter, W.A.: Big data with cognitive computing: a review for the future. Int. J. Inf. Manage. 42, 78–89 (2018)CrossRef
18.
Ferdous, W., Bai, Y., Ngo, T.D., Manalo, A., Mendis, P.: New advancements, challenges, and opportunities of multi-storey modular buildings–a state-of-the-art review. Eng. Struct. 183, 883–893 (2019)CrossRef
19.
Murray-Parkes, J., Bai, Y.: Handbook for the Design of Modular Structures. Monash University, Melbourne (2017)
20.
Lee, D., Lee, S.: Digital twin for supply chain coordination in modular construction. Appl. Sci. 11(13), 5909 (2021)CrossRef
21.
Papachatzi, D., Xenidis, Y.: Risk management in construction projects using building information modelling. In: 2019 European Conference on Computing in Construction (2019 EC3) (No. IKEECONF-2019-330), pp. 198–206. Aristotle University of Thessaloniki (2019)
22.
Xie, M.C., Pan, W.: Opportunities and challenges of digital twin applications in modular integrated construction. In: ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, vol. 37, pp. 278–284. IAARC Publications (2020)
23.
Correa, F.R.: Cyber-physical systems for construction industry. In: 2018 IEEE Industrial Cyber-Physical Systems (ICPS), pp. 392–397. IEEE (2018)
24.
25.
Linares, D.A., Anumba, C., Roofigari-Esfahan, N.: Overview of supporting technologies for cyber-physical systems implementation in the AEC industry. In: Computing in Civil Engineering 2019: Data, Sensing, and Analytics, pp. 495–504. American Society of Civil Engineers, Reston (2019)
26.
Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)CrossRef
27.
Yitmen, I., Alizadehsalehi, S., Akıner, İ, Akıner, M.E.: An adapted model of cognitive digital twins for building lifecycle management. Appl. Sci. 11(9), 4276 (2021)CrossRef
28.
Kor, M.: Integration of Digital Twin and Deep Learning for facilitating Smart Planning and Construction: An Exploratory Analysis (2021)
29.
30.
Yitmen, I., Alizadehsalehi, S.: Overview of cyber-physical systems and enabling technologies in cognitive computing for smart built environment. In: BIM-Enabled Cognitive Computing for Smart Built Environment, pp. 1–20. CRC Press (2021)
31.
Lytras, M.D., Visvizi, A., Chopdar, P.K., Sarirete, A., Alhalabi, W.: Information management in smart cities: turning end users’ views into multi-item scale development, validation, and policy-making recommendations. Int. J. Inf. Manage. 56, 102146 (2021)CrossRef
32.
Chen, H., Xue, M., Mei, Z., Bambang Oetomo, S., Chen, W.: A review of wearable sensor systems for monitoring body movements of neonates. Sensors 16(12), 2134 (2016)CrossRef
33.
Muhuri, P.K., Shukla, A.K., Abraham, A.: Industry 4.0: A bibliometric analysis and detailed overview. Eng. Appl. Artif. Intell. 78, 218–235 (2019)CrossRef
34.
Bagheri, B., Yang, S., Kao, H.A., Lee, J.: Cyber-physical systems architecture for self-aware machines in industry 4.0 environment. IFAC-PapersOnLine 48(3), 1622–1627 (2015)CrossRef
35.
Jamaludin, J., Rohani, J.M.: Cyber-Physical System (CPS): state of the art. In: 2018 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), pp. 1–5. IEEE (2018)
36.
37.
38.
Barrett, P., Baldry, D.: Facilities Management: Towards Best Practice. Wiley, New York (2009)
39.
Kavulya, G., Gerber, D.J., Becerik-Gerber, B.: Designing in complex system interaction: multi-agent-based systems for early design decision making. In: Proceedings of the 28th ISARC International Association for Automation and Robotics in Construction, Seoul, Korea, pp.694–698 (2011)
40.
41.
Bonci, A., Carbonari, A., Cucchiarelli, A., Messi, L., Pirani, M., Vaccarini, M.: A cyber-physical system approach for building efficiency monitoring. Autom. Constr. 102, 68–85 (2019)CrossRef
42.
Schmidt, M., Åhlund, C.: Smart buildings as cyber-physical systems: data-driven predictive control strategies for energy efficiency. Renew. Sustain. Energy Rev. 90, 742–756 (2018)CrossRef
43.
Akanmu, A.A., Anumba, C.J., Ogunseiju, O.O.: Towards next generation cyber-physical systems and digital twins for construction. J. Inf. Technol. Constr. (ITcon) 26(27), 505–525 (2021)
44.
Xu, J., Lu, W., Xue, F., Chen, K.: ‘Cognitive facility management’: definition, system architecture, and example scenario. Autom. Constr. 107, 102922 (2019)CrossRef
45.
Jiang, F., Ma, L., Broyd, T., Chen, K.: Digital twin and its implementations in the civil engineering sector. Autom. Constr. 130, 103838 (2021)CrossRef
46.
Xue, F., Lu, W., Chen, Z., Webster, C.J.: From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles. ISPRS J. Photogramm. Remote. Sens. 167, 418–431 (2020)CrossRef
Metadata
Title
Cognitive Modular Building to Enhance User Wellbeing: An Insight from Literature Review on Potential Benefits, Design Considerations and Opportunities
Authors
Frank Ato Ghansah
Weisheng Lu
Xu Jinying
Copyright Year
2022
Publisher
Springer Nature Singapore
Book
Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Print ISBN: 978-981-19-5255-5

Electronic ISBN: 978-981-19-5256-2

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-981-19-5256-2_36