Demian_ACM_CSAE2018_BIMsensorRev.pdf (181.24 kB)
Integration of building information modelling (BIM) and sensor technology: A review of current developments and future outlooks
conference contribution
posted on 2019-01-24, 13:47 authored by Zhen Liu, Zhiyu Deng, Peter DemianPeter Demian© 2018 Association for Computing Machinery. ACM. Building Information Modelling1 (BIM) is revolutionising the practicalities of current construction field, sensor technology is essential for enabling BIM to extend beyond the domain of software into the physical domain of building construction and operation; however, no prior in-depth review has focused on the integration of BIM and sensor technology. This paper provides a brief review to evaluate and clarify the state-of-art for the integration of BIM and sensor technology. A systematic review approach was adopted. The result reveals that although much research has conducted, there are gaps and scope for further work, namely: (a) More consideration of the cost of sensors needs to be taken; (b) More commercial applications should be developed; (c) Higher accuracy of positioning and tracing is needed; (d) More applications in structural design could be expanded.
Funding
The authors gratefully acknowledge the support from the South China University of Technology, China (grant number: x2sj/K5180600), P. R. China.
History
School
- Architecture, Building and Civil Engineering
Published in
2nd International Conference on Computer Science and Application Engineering ACM International Conference Proceeding SeriesCitation
LIU, Z., DENG, Z. and DEMIAN, P., 2018. Integration of building information modelling (BIM) and sensor technology: A review of current developments and future outlooks. Proceedings of the 2nd International Conference on Computer Science and Application Engineering (CSAE '18), Hohhot, China, October 22 - 24, Article no 144.Publisher
© Association for Computing Machinery (ACM)Version
- AM (Accepted Manuscript)
Acceptance date
2018-08-20Publication date
2018Notes
© Association for Computing Machinery (ACM). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in https://doi.org/10.1145/3207677.3277991ISBN
9781450365123Publisher version
Language
- en