Ontology and interoperability in construction planning automation with 4D BIM: a systematic review
DOI:
https://doi.org/10.46421/sibragec.v12i00.468Keywords:
Construction planning, Building Information Modeling (BIM), Knowledge ManagementAbstract
Interoperability has been a basic requirement for modern information systems, which in the construction industry is especially difficult because information between projects is not yet fully standardized and digitalized. With BIM introduction, much progress has been made in this regard, however, there is still no consolidated common basis for the exchange of information on construction elements among the different stakeholders that develop and operate the construction model. In order to review existing literature on the subject of ontologies produced for BIM and its interoperability with the automation and simulation of construction planning (4D BIM), this article is proposed. To this end, 27 articles were selected to understand the focus used in the adoption of ontologies during the development of BIM models for the construction industry, strategies to achieve greater interoperability between BIM and planning, types of semantics adopted, possible categories, and schemes applied. The main contribution of this research is the analysis and exposure of ontologies in BIM development for the construction industry. Likewise, in what way research on this subject is advancing were pointed out and was verified a lack of methodology to guide the application in this industry.
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ABDULLAHI, A.M.; IBRAHIM, Y. M.; KOLO, B. A.; ABANDA, F. H. An Ontology for Detailed Measurement of Building Works Using Semantic Web Technology. International Journal of Digital Innovation in the Built Environment (IJDIBE), v. 8, n. 1, p. 42-63, 2019. DOI: 10.4018/IJDIBE.2019010104
BOJE, C.; KUBICKI, S.; GUERRIERO, A. A 4D BIM System Architecture for the Semantic Web. In: International Conference on Computing in Civil and Building Engineering. Springer, Cham, p. 561-573, 2020. DOI: 10.1007/978-3-030-51295-8_40
CORRÊA; L.A; MARCHIORI, F.F. 4D BIM na construção civil e sua relação com lean construction: revisão sistemática da literatura, In: 1º Simpósio Brasileiro de Tecnologia da Informação e Comunicação na Construção (2017), Fortaleza, Ceará, Brazil, 2017.
DELGADO, F. et al. Towards a client-oriented integration of construction processes and building GIS systems. Computers in Industry, v. 73, p. 51-68, 2015. DOI: 10.1016/j.compind.2015.07.012
FERENHOF, H.A.; FERNANDES, R. F. (2015). Passo-a-passo para construção da Revisão Sistemática e Bibliometria.
GRUBER, T.R. Toward principles for the design of ontologies used for knowledge sharing? International journal of human-computer studies, v. 43, n. 5-6, p. 907-928, 1995. DOI: 10.1006/ijhc.1995.1081
HUANG, M.Q.; NINIĆ, J.; ZHANG, Q.B. BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives. Tunnelling and Underground Space Technology, v. 108, p. 103677, 2021. DOI: 10.1016/j.tust.2020.103677
HORROCKS, I. Description logic reasoning. In: 13th International Conference on Conceptual Structures, 2005.
KIM, H.; ANDERSON, K.; LEE, S.; HILDRETH, J. Generating construction schedules through automatic data extraction using open BIM (building information modeling) technology. Automation in Construction, v. 35, p. 285-295, 2013. DOI: 10.1016/j.autcon.2013.05.020
KROPP, C.; KOCH, C.; KÖNIG, M. Interior construction state recognition with 4D BIM registered image sequences. Automation in construction, v. 86, p. 11-32, 2018. DOI: 10.1016/j.autcon.2017.10.027
MOSELHI, O.; BARDAREH, H.; ZHU, Z. Automated data acquisition in construction with remote sensing technologies. Applied Sciences, v. 10, n. 8, p. 2846, 2020. DOI: 10.3390/app10082846
NATICCHIA, B.; CARBONARI, A.; VACCARINI, M. A simulation-based approach for optimal construction planning and scheduling. In: Creative Construction Conference 2018. Budapest University of Technology and Economics, 2018. p. 739-746, 2018.
SCHERER, R.J.; SCHAPKE, S.E. A distributed multi-model-based management information system for simulation and decision-making on construction projects. Advanced Engineering Informatics, v. 25, n. 4, p. 582-599, 2011. DOI: 10.1016/j.aei.2011.08.007
SHEHZAD, H.M.F.; IBRAHIM, R.B.; YUSOF, A. F.; KHAIDZIR, K.A.M.; IQBAL, M.; RAZZAQ, S. The role of interoperability dimensions in building information modelling. Computers in Industry, v. 129, p. 103444, 2021. DOI: 10.1016/j.compind.2021.103444
SHIROWZHAN, S.; SEPASGOZAR, S.M.; EDWARDS, D.J.; LI, H.; WANG, C. BIM compatibility and its differentiation with interoperability challenges as an innovation factor. Automation in Construction, v. 112, p. 103086, 2020. DOI: 10.1016/j.autcon.2020.103086
SIGALOV, K.; KÖNIG, M. Recognition of process patterns for BIM-based construction schedules. Advanced Engineering Informatics, v. 33, p. 456-472, 2017. DOI: 10.1016/j.aei.2016.12.003
SOMAN, R.K.; MOLINA-SOLANA, M.; WHYTE, J.K. Linked-Data based Constraint-Checking (LDCC) to support look-ahead planning in construction. Automation in Construction, v. 120, p. 103369, 2020. DOI: 10.1016/j.autcon.2020.103369
STAUB-FRENCH, S.; KHANZODE, A. 3D and 4D modeling for design and construction coordination: issues and lessons learned. Journal of information technology in construction (ITcon), v. 12, n. 26, p. 381-407, 2007.
VENUGOPAL, M.; EASTMAN, C. M.; SACKS, R.; TEIZER, J. Semantics of model views for information exchanges using the industry foundation class schema. Advanced engineering informatics, v. 26, n. 2, p. 411-428, 2012. DOI: 10.1016/j.aei.2012.01.005
ZHANG, S.; BOUKAMP, F.; TEIZER, J. Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (JHA). Automation in Construction, v. 52, p. 29-41, 2015. DOI: 10.1016/j.autcon.2015.02.005
WANG, K.C.; WANG, W.C.; WANG, H.H.; HSU, P.Y.; WU, W.H.; KUNG, C.J. Applying building information modeling to integrate schedule and cost for establishing construction progress curves. Automation in construction, v. 72, p. 397-410, 2016. DOI: 10.1016/j.autcon.2016.10.005
