Conference full papers - Open Access.

Idioma principal

BIM and IoT for the AEC Industry: A systematic literature mapping

BIM and IoT for the AEC Industry: A systematic literature mapping

Fialho, Beatriz Campos; Codinhoto, Ricardo; Fabricio, Márcio Minto;

Conference full papers:

The AEC industry has been facing a digital transformation for improving services involved in buildings lifecycle, fostered by two disruptive technologies: Building Information Modelling (BIM) and Internet of Things (IoT). However, the literature lacks discussions regarding applications and challenges of BIM and IoT systems in the AEC. This Systematic Literature Mapping addresses this gap through search, analysis, and classification of 75 journal article abstracts published between 2015 and 2019. An increase of articles over the period is observed, predominantly with technical and processual solutions for Construction and Operation and Maintenance. The interoperability of data is a key challenge to organizations.

Conference full papers:

Palavras-chave: Building Information Modelling, Internet of Things, Integration, Network, Smart Cities,

Palavras-chave:

DOI: 10.5151/sigradi2020-54

Referências bibliográficas
  • [1] Aguiar, A., Mira, P., Antunes, A., Cabral, I., Chen, X., Liu, C., … Beach, T. (2017). Tracking Users’ Behaviors through Real- time Information in BIMs: Workflow for Interconnection in the Brescia Smart Campus Demonstrator. Procedia Engineering, 180(March), 1484–1494. Retrieved from https://doi.org/10.1016/j.proeng.2017.04.311
  • [2] Akinade, O. O., Oyedele, L. O., Ajayi, S. O., Bilal, M., Alaka, A., Owolabi, H. A., & Arawomo, O. O. (2018). Designing out construction waste using BIM technology: Stakeholders ’ expectations for industry deployment. Journal of Cleaner Production, 180, 375–385. Retrieved from https://doi.org/10.1016/j.jclepro.2018.01.022
  • [3] Alcayaga, A., Wiener, M., & Hansen, E. G. (2019). Towards a framework of smart-circular systems: An integrative literature review. Journal of Cleaner Production, 221, 622–634. Retrieved from https://doi.org/10.1016/j.jclepro.2019.02.085
  • [4] Araszkiewicz, K. (2017). Digital Technologies in Facility Management - The state of Practice and Research Challenges. Procedia Engineering, 196(June), 1034–1042. Retrieved from https://doi.org/10.1016/j.proeng.2017.08.059
  • [5] Arslan, M., Cruz, C., & Ginhac, D. (2019a). Understanding Occupant Behaviors in Dynamic Environments using OBiDE framework. Building and Environment, 166(May), 106412. Retrieved from
  • [6] https://doi.org/10.1016/j.buildenv.2019.106412
  • [7] Arslan, M., Cruz, C., & Ginhac, D. (2019b). Visualizing intrusions in dynamic building environments for worker safety. Safety Science, 120(July), 428–446. Retrieved from https://doi.org/10.1016/j.ssci.2019.0020
  • [8] Bianconi, F., Filippucci, M., & Buffi, A. (2019). Automated design and modeling for mass-customized housing . A web-based design space catalog for timber structures. Automation in Construction, 103(March), 13–25. Retrieved from https://doi.org/10.1016/j.autcon.2019.03.002
  • [9] BIMe Initiative. (2016). Building Information Modelling (BIM). Retrieved 14 May 2019, from https://bimdictionary.com/en/building-information-modelling/1/
  • [10] BIMe Initiative. (2019). BIM Dictionary - Interoperability, 2019. Retrieved from https://bimdictionary.com/en/interoperability/1
  • [11] Bruno, S., Fino, M. De, & Fatiguso, F. (2018). Historic Building Information Modelling: performance assessment for diagnosis-aided information modelling and management. Automation in Construction, 86(December), 256–276. Retrieved from https://doi.org/10.1016/j.autcon.2017.009
  • [12] Chaturvedi, K., Matheus, A., Nguyen, S. H., & Kolbe, T. H. (2019). Securing Spatial Data Infrastructures for Distributed Smart City applications and services. Future Generation Computer Systems, 101, 723–736. Retrieved from https://doi.org/10.1016/j.future.2019.07.002
  • [13] Chen, X., Liu, C., & Wu, I. (2018). A BIM-based visualization and warning system for fire rescue. Advanced Engineering Informatics, 37(April), 42–53. Retrieved from https://doi.org/10.1016/j.aei.2018.04.015
  • [14] Chiang, C., Chu, C., & Chou, C. (2015). BIM-enabled power consumption data management platform for rendering and analysis of energy usage patterns. Procedia Engineering, 118, 554–562. Retrieved from https://doi.org/10.1016/j.proeng.2015.08.480
  • [15] Chileshe, N., Jayasinghe, R. S., & Rameezdeen, R. (2019). Information flow-centric approach for reverse logistics supply chains. Automation in Construction, 106(June), 102858. Retrieved from https://doi.org/10.1016/j.autcon.2019.102858
  • [16] Chou, C., Chiang, C., Wu, P., Chu, C., & Lin, C. (2017). Spatiotemporal analysis and visualization of power consumption data integrated with building information models for energy savings. ‘Resources, Conservation & Recycling’, 123, 219–229. Retrieved from https://doi.org/10.1016/j.resconrec.2003.008
  • [17] Ciribini, A. L. C., Pasini, D., Tagliabue, L. C., Manfren, M., Daniotti, B., Rinaldi, S., & De Angelis, E. (2017). Tracking Users’ Behaviors through Real-time Information in BIMs: Workflow for Interconnection in the Brescia Smart Campus Demonstrator. Procedia Engineering, 180, 1484–1494. Retrieved from https://doi.org/10.1016/j.proeng.2004.311
  • [18] Codinhoto, R., Fialho, B. C., Pinti, L., & Fabricio, M. M. (2020). BIM and IoT for Facilities Management: Understanding key maintenance issues. In Driving Transformational Change in the Digital Built Environment. Manuscript submitted for publication.
  • [19] Costin, A., Adibfar, A., Hu, H., & Chen, S. S. (2018). Building Information Modeling (BIM) for transportation infrastructure – Literature review , applications , challenges , and recommendations. Automation in Construction, 94(July), 257–
  • [20] 281. Retrieved from https://doi.org/10.1016/j.autcon.2018.07.001
  • [21] Dave, B., Buda, A., Nurminen, A., & Främling, K. (2018). A framework for integrating BIM and IoT through open standards. Automation in Construction, 95(August), 35–45. Retrieved from https://doi.org/10.1016/j.autcon.2018.07.022
  • [22] David, M., Aubry, A., & Derigent, W. (2018). Towards energy efficient buildings: how ICTs can convert advances? IFAC- PapersOnLine, 51(11), 758–763. Retrieved from https://doi.org/10.1016/j.ifacol.2018.08.410
  • [23] Eastman, c., Teicholz, p., Sacks, r., & Liston, k. (2014). Manual de BIM: um guia de modelagem da informação da construção para arquitetos, engenheiros, gerentes, construtores e incorporadores. Porto Alegre: Bookman.
  • [24] Edmondson, V., Cerny, M., Lim, M., Gledson, B., Lockley, S., & Woodward, J. (2018). A smart sewer asset information model to enable an ‘Internet of Things’ for operational wastewater management. Automation in Construction, 91, 193–205. Retrieved from https://doi.org/10.1016/j.autcon.2018.03.003
  • [25] Emmitt, S. (2016). BIM and the Future of Design Management. In
  • [26] J. Eynon (Ed.), Construction Manager’s BIM Handbook (1st ed., p. 227). Chichester: John Wiley & Sons Ltd.
  • [27] Fialho, B. C., Codinhoto, R., & Fabricio. (2019). Trends in BIM and IoT for Reactive Maintenance. In Proceeding of the 36th CIB W78 2019 Conference (pp. 912–925). Newsastle.
  • [28] Fitz, T., Theiler, M., & Smarsly, K. (2019). A metamodel for cyber- physical systems. Advanced Engineering Informatics, 41(May), 100930. Retrieved from https://doi.org/10.1016/j.aei.2019.100930
  • [29] Fortineau, V., Paviot, T., & Lamouri, S. (2019). Automated business rules and requirements to enrich product-centric information. Computers in Industry, 104, 22–33. Retrieved from https://doi.org/10.1016/j.compind.2018.10.001
  • [30] Gao, X., & Pishdad-bozorgi, P. (2019). BIM-enabled facilities operation and maintenance: A review. Advanced Engineering Informatics, 39(November), 227–247. Retrieved from https://doi.org/10.1016/j.aei.2019.01.005
  • [31] Gha, A., Zhang, T., Naismith, N., Gha, A., Doan, D. T., Rehman,
  • [32] U., … Tookey, J. (2019). ND BIM-integrated knowledge- based building management: Inspecting post- construction energy efficiency. Automation in Construction, 97(March), 13–
  • [33] 28. Retrieved from https://doi.org/10.1016/j.autcon.2018.10.003
  • [34] Good, N., Ellis, K. A., & Mancarella, P. (2017). Review and classification of barriers and enablers of demand response in the smart grid. Renewable and Sustainable Energy Reviews, 72(January), 57–72. Retrieved from https://doi.org/10.1016/j.rser.2017.01.043
  • [35] Gough, D., Oliver, S., & Thomas, J. (2012). Systematic Reviews
  • [36] (1st ed.). London: SAGE.
  • [37] Gunduz, M., Isikdag, U., & Basaraner, M. (2017). Integration of BIM, web maps and IoT for supporting comfort analysis. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. 4, pp. 221–227). Retrieved from https://doi.org/10.5194/isprs-annals-IV-4-W4-221-2017
  • [38] Haddad, H., Bouyahia, Z., & Chaudhry, S. A. (2019). A Multiagent Geosimulation and IoT-based Framework for Safety Monitoring in Complex Dynamic Spatial Environments. Procedia Computer Science, 151(2018), 527–534. Retrieved from https://doi.org/10.1016/j.procs.2019.04.071
  • [39] Ham, H., Teng, M. A., Wijaya, E., & Wikopratama, R. A. (2018). Integration Citizen’ Suggestion System for the Urban Development: Tangerang City Case. Procedia Computer Science, 135, 570–578. Retrieved from https://doi.org/10.1016/j.procs.2018.08.210
  • [40] Heaton, J., & Parlikad, A. K. (2019). A conceptual framework for the alignment of infrastructure assets to citizen requirements within a Smart Cities framework. Cities, 90(April), 32–41. Retrieved from https://doi.org/10.1016/j.cities.2019.01.041
  • [41] Howell, S., Rezgui, Y., & Beach, T. (2017). Integrating building and urban semantics to empower smart water solutions. Automation in Construction, 81, 434–448. Retrieved from https://doi.org/10.1016/j.autcon.2017.02.004
  • [42] Hu, S., Corry, E., Curry, E., Turner, W. J. N., & Donnell, J. O. (2016). Building performance optimisation: A hybrid architecture for the integration of contextual information and time-series data. Automation in Construction, 70, 51–61. Retrieved from https://doi.org/10.1016/j.autcon.2016.05.018
  • [43] Jia, M., Komeily, A., Wang, Y., & Srinivasan, R. S. (2019). Adopting Internet of Things for the development of smart buildings: A review of enabling technologies and applications. Automation in Construction, 101, 111–126. Retrieved from https://doi.org/10.1016/j.autcon.2019.01.023
  • [44] Kelton, A. P., Papa, J. P., Lisboa, C. O., Munoz, R., & De, V. H. C. (2019). Internet of Things: A survey on machine learning- based intrusion detection approaches. Computer Networks, 151, 147–157. Retrieved from https://doi.org/10.1016/j.comnet.2019.01.023
  • [45] Kensek, K., & Kahn, W. (2013). Integration of Environmental Sensors with BIM Seven Case Studies. In BESS--SB13 CALIFORNIA: Advancing Towards Net Zero (pp. 29–35). Pomona.
  • [46] Kerin, M., & Pham, D. T. (2019). A review of emerging industry 4.0 technologies in remanufacturing. Journal of Cleaner Production, 237, 117805. Retrieved from https://doi.org/10.1016/j.jclepro.2019.117805
  • [47] Kho, D. D., Lee, S., Zhong, R. Y., Kho, D. D., Lee, S., Zhong, R. Y., … Wernke, R. (2018). Big Data Analytics for Processing Time Analysis in an IoT-enabled manufacturing Shop Floor. Procedia Manufacturing, 26, 1411–1420. Retrieved from https://doi.org/10.1016/j.promfg.2018.07.107
  • [48] Li, J., Greenwood, D., & Kassem, M. (2019). Blockchain in the built environment and construction industry: A systematic review, conceptual models and practical use cases. Automation in Construction, 102(March), 288–307. Retrieved from https://doi.org/10.1016/j.autcon.2019.02.005
  • [49] Li, X., Qiping, G., Wu, P., Xue, F., Chi, H., & Zhengdao, C. (2019). Developing a conceptual framework of smart work packaging for constraints management in prefabrication housing production. Advanced Engineering Informatics, 42(June), 100938. Retrieved from https://doi.org/10.1016/j.aei.2019.100938
  • [50] Li, X., Wu, P., & Yue, T. (2019). Integrating Building Information Modeling and Prefabrication Housing Production. Automation in Construction, 100(January 2018), 46–60. Retrieved from https://doi.org/10.1016/j.autcon.2018.12.024
  • [51] Liu, D., Chen, J., Hu, D., & Zhang, Z. (2019). Dynamic BIM- augmented UAV safety inspection for water diversion project. Computers in Industry, 108, 163–177. Retrieved from https://doi.org/10.1016/j.compind.2019.03.004
  • [52] Lokshina, V., Greguš, M., & Thomas, W. L. (2019). Application of Integrated Building Information Modeling, IoT and Blockchain of Technologies in System Design of Smart Building. Procedia Computer Science, 160, 497–502. Retrieved from https://doi.org/10.1016/j.procs.2019.11.058
  • [53] Louay, A., & Kassem, M. (2018). A unified BIM adoption taxonomy: Conceptual development , empirical validation and application. Automation in Construction, 96(September), 103–
  • [54] 127. Retrieved from https://doi.org/10.1016/j.autcon.2018.08.017
  • [55] Louis, J., & Dunston, P. S. (2018). Integrating IoT into operational work fl ows for real-time and automated decision-making in repetitive construction operations. Automation in Construction, 94(April), 317–327. Retrieved from https://doi.org/10.1016/j.autcon.2018.07.005
  • [56] Love, P. E. D., Matthews, J., & Gates, B. (2019). The ‘how’ of benefits management for digital technology: From engineering to asset management. Automation in Construction, 107(July). Retrieved from https://doi.org/10.1016/j.autcon.2019.102930
  • [57] Ma, Z., & Ren, Y. (2017). Integrated Application of BIM and GIS: An Overview. Procedia Engineering, 196(June), 1072–1079. Retrieved from https://doi.org/10.1016/j.proeng.2017.08.064
  • [58] Madakan, S., Ramaswamy, S., & Tripathi, S. (2015). Internet of Things (IoT): A Literature Review. Journal of Computer and Communications, 3, 164–173. Retrieved 1 May 2019 from https://doi.org/10.4236/jcc.2015.35021
  • [59] Magruk, A. (2015). The most important aspects of uncertainty in the Internet of Things field – context of smart buildings. Procedia Engineering, 122, 220–227. Retrieved from https://doi.org/10.1016/j.proeng.2015.10.028
  • [60] Marsal-Llacuna, M.-L. (2018). Future living framework: Is blockchain the next enabling network? Technological Forecasting & Social Change, 128, 226–234. Retrieved from https://doi.org/10.1016/j.techfore.2017.12.005
  • [61] Mcglinn, K., Wagner, A., Pauwels, P., Bonsma, P., Kelly, P., & Sullivan, D. O. (2019). Interlinking geospatial and building geometry with existing and developing standards on the web. Automation in Construction, 103, 235–250. Retrieved from https://doi.org/10.1016/j.autcon.2018.12.026
  • [62] Motamedi, A., Soltani, M. M., Setayeshgar, S., & Hammad, A. (2016). Extending IFC to incorporate information of RFID tags attached to building elements. Advanced Engineering Informatics, 30(1), 39–53. Retrieved from https://doi.org/10.1016/j.aei.2015.11.004
  • [63] Nawari, N. O., & Ravindran, S. (2019). Blockchain and the built environment: Potentials and limitations. Journal of Building Engineering Journal, 25(June). Retrieved from https://doi.org/10.1016/j.jobe.2019.100832
  • [64] Novais, L., Manuel, J., & Ortiz-bas, Á. (2019). A systematic literature review of cloud computing use in supply chain integration. Computers & Industrial Engineering, 129, 296–
  • [65] 314. Retrieved from https://doi.org/10.1016/j.cie.2019.01.056
  • [66] Pärn, E. A., & Edwards, D. J. (2017). Conceptualising the FinDD API plug-in: A study of BIM-FM integration. Automation in Construction. Retrieved from https://doi.org/10.1016/j.autcon.2017.03.015
  • [67] Pauwels, P., Zhang, S., & Lee, Y. (2017). Semantic web technologies in AEC industry : A literature overview. Automation in Construction, 73, 145–165. Retrieved from https://doi.org/10.1016/j.autcon.2016.10.003
  • [68] Peng, Y., Li, S., & Hu, Z. (2019). A self-learning dynamic path planning method for evacuation in large public buildings based on neural networks. Neurocomputing, 365, 71–85. Retrieved from https://doi.org/10.1016/j.neucom.2019.06.099
  • [69] Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008). Systematic Mapping Studies in Software Engineering. In 12th International Conference on Evaluation and Assessment in Software Engineering (Vol. 17). Swindon: UK: BCS Learning & Development Ltd. Retrieved from https://doi.org/10.1016/j.pedneo.2016.08.011
  • [70] Pezeshki, Z., Soleimani, A., & Darabi, A. (2019). Application of BEM and using BIM database for BEM: A review. Journal of Building Engineering, 23, 1–17. Retrieved from https://doi.org/10.1016/j.jobe.2019.01.021
  • [71] Pishdad-Bozorgi, P. (2017). Future Smart Facilities: State-of-the- Art BIM-Enabled Facility Management. Journal of Construction Engineering and Management, 143(9), 02517006. Retrieved from https://doi.org/10.1061/(ASCE)CO.1943-7862.0001376
  • [72] Plageras, A. P., Psannis, K. E., Stergiou, C., Wang, H., & Gupta,
  • [73] B. (2018). Efficient IoT-based sensor BIG Data collection – processing and analysis in smart buildings. Future Generation Computer Systems, 82, 349–357. Retrieved from https://doi.org/10.1016/j.future.2017.09.082
  • [74] Ramprasad, B., Mcarthur, J., Fokaefs, M., Barna, C., Damm, M., & Litoiu, M. (2018). Leveraging existing sensor networks as IoT devices for smart buildings. In IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings (Vol. January, pp. 452–457). IEEE. Retrieved from https://doi.org/10.1109/WF-IoT.2018.8355121
  • [75] Rashid, K. M., Louis, J., & Fiawoyife, K. K. (2019). Wireless electric appliance control for smart buildings using indoor location tracking and BIM-based virtual environments. Automation in Construction, 101, 48–58. Retrieved from https://doi.org/10.1016/j.autcon.2019.01.005
  • [76] Rice, J., & Martin, N. (2018). Smart infrastructure technologies: Crowdsourcing future development and benefits for Australian communities. Technological Forecasting & Social Change, (March), 119256. Retrieved from https://doi.org/10.1016/j.techfore.2018.03.027
  • [77] Rubio, A., Board, C., Santofimia, M. J., Felix, J., Cantarero, R., Rubio, A., & Felix, J. (2018). A common-sense based system for Geo-IoT. Procedia Computer Science, 126, 665–674. Retrieved from https://doi.org/10.1016/j.procs.2018.07.301
  • [78] Succar, B., & Kassem, M. (2015). Macro-BIM adoption: Conceptual structures. Automation in Construction, 57, 64–79. Retrieved from https://doi.org/10.1016/j.autcon.2015.04.018
  • [79] Tang, S., Shelden, D. R., Eastman, C. M., Pishdad-bozorgi, P., & Gao, X. (2019). A review of building information modeling (BIM) and the internet of things (IoT) devices integration: Present status and future trends. Automation in Construction, 101(February), 127–139. Retrieved from https://doi.org/10.1016/j.autcon.2019.01.020
  • [80] Terroso-saenz, F., González-vidal, A., Ramallo-gonzález, A. P., & Skarmeta, A. F. (2019). An open IoT platform for the management and analysis of energy data. Future Generation Computer Systems, 92, 1066–1079. Retrieved from https://doi.org/10.1016/j.future.2017.08.046
  • [81] The British Standard Institution (BSI). PAS 180 - Smart cities- Vocabulary (2014). Retrieved 1 May 2019 from http://shop.bsigroup.com/upload/PASs/Free- Download/PAS180.pdf
  • [82] Vandecasteele, F., Merci, B., & Verstockt, S. (2017). Fireground location understanding by semantic linking of visual objects and building information models. Fire Safety Journal. Retrieved from https://doi.org/10.1016/j.firesaf.2017.03.083
  • [83] Wang, H., Pan, Y., & Luo, X. (2019). Integration of BIM and GIS in sustainable built environment: A review and bibliometric analysis. Automation in Construction, 103, 41–52. Retrieved from https://doi.org/10.1016/j.autcon.2019.03.005
  • [84] Wong, J. K. W., Ge, J., & He, S. X. (2018). Digitisation in facilities management: A literature review and future research directions. Automation in Construction, 92, 312–326. Retrieved from https://doi.org/10.1016/j.autcon.2018.04.006
  • [85] Woodhead, R., Stephenson, P., & Morrey, D. (2018). Digital construction: From point solutions to IoT ecosystem. Automation in Construction, 93(March), 35–46. Retrieved from https://doi.org/10.1016/j.autcon.2018.05.004
  • [86] Xu, G., Li, M., Chen, C., & Wei, Y. (2018). Cloud asset-enabled integrated IoT platform for lean prefabricated construction. Automation in Construction, 93(September 2017), 123–134. Retrieved from https://doi.org/10.1016/j.autcon.2018.05.012
  • [87] Xu, Q., Chong, H., & Liao, P. (2019). Collaborative information integration for construction safety monitoring. Automation in Construction, 102, 120–134. Retrieved from https://doi.org/10.1016/j.autcon.2019.02.004
  • [88] Yamamura, S., Fan, L., & Suzuki, Y. (2017). Assessment of urban energy performance through integration of BIM and GIS for smart city planning. Procedia Engineering, 180, 1462–1472. Retrieved from https://doi.org/10.1016/j.proeng.2017.04.309
  • [89] Yan, W., & Sakairi, T. (2019). Geo CPS: Spatial challenges and opportunities for CPS in the geographic dimension. Journal of Urban Management, 8(3), 331–341. Retrieved from https://doi.org/10.1016/j.jum.2019.09.005
  • [90] Yang, Y., Ng, S. T., Xu, F. J., & Skitmore, M. (2018). Towards sustainable and resilient high density cities through better integration of infrastructure networks. Sustainable Cities and Society, 42(April), 407–422. Retrieved from https://doi.org/10.1016/j.scs.2018.07.013
  • [91] Ye, Z., Yin, M., Tang, L., & Jiang, H. (2018). Cup-of-Water Theory: A Review on the Interaction of BIM, IoT and Blockchain During the Whole Building Lifecycle. In Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC). Retrieved from https://doi.org/10.22260/isarc2018/0066
  • [92] Yin, X., Liu, H., Chen, Y., & Al-hussein, M. (2019). Building information modelling for off-site construction: Review and future directions. Automation in Construction, 101, 72–91. Retrieved from https://doi.org/10.1016/j.autcon.2019.01.010
  • [93] Zachary, S., Binder, B., Matsui, K., Lancaster, Z. S., Binder, R. B., Matsui, K., … Corre, O. Le. (2019). Developing a theory of an object-oriented city: Building energy for urban problems. Energy Procedia, 158, 4210–4217. Retrieved from https://doi.org/10.1016/j.egypro.2019.01.807
  • [94] Zhai, Y., Chen, K., Zhou, J. X., Cao, J., Lyu, Z., Jin, X., … Huang,
  • [95] G. Q. (2019). An Internet of Things-enabled BIM platform for modular integrated construction: A case study in Hong Kong. Advanced Engineering Informatics, 42(October), 100997. Retrieved from https://doi.org/10.1016/j.aei.2019.100997
  • [96] Zhengdao, C., Hong, J., Xue, F., Qiping, G., Xu, X., & Kayan, M. (2016). Schedule risks in prefabrication housing production in Hong Kong: a social network analysis. Journal of Cleaner Production, 134, 482–494. Retrieved from https://doi.org/10.1016/j.jclepro.2016.02.123
  • [97] Zhengdao, C., Hong, J., Xue, F., Qiping, G., Xu, X., & Luo, L. (2016). SWOT analysis and Internet of Things-enabled platform for prefabrication housing production in Hong Kong. Habitat International, 57, 74–87. Retrieved from https://doi.org/10.1016/j.habitatint.2016.07.002
  • [98] Zhengdao, C., Xue, F., Li, X., & Hong, J. (2018). An Internet of Things-enabled BIM platform for on-site assembly services in prefabricated construction. Automation in Construction, 89(July 2017), 146–161. Retrieved from https://doi.org/10.1016/j.autcon.2018.01.001
  • [99] Zhengdao, C., Zhong, R. Y., Xue, F., Xu, G., Chen, K., Guoquan, G., & Qiping, G. (2017). Integrating RFID and BIM technologies for mitigating risks and improving schedule performance of prefabricated house construction. Journal of Cleaner Production, 165, 1048–1062. Retrieved from https://doi.org/10.1016/j.jclepro.2017.07.156
  • [100] Zhong, R. Y., Peng, Y., Fang, J., Xu, G., Xue, F., Zou, W., & Huang, G. Q. (2015). Towards Physical Internet-enabled Prefabricated Housing Construction in Hong Kong. IFAC- PapersOnLine, 48(3), 1079–1086. Retrieved from https://doi.org/10.1016/j.ifacol.2015.06.227
  • [101] Zhong, R. Y., Peng, Y., Xue, F., Fang, J., Zou, W., Luo, H., … Huang, G. Q. (2017). Prefabricated construction enabled by the Internet-of-Things. Automation in Construction, 76, 59–70. Retrieved from https://doi.org/10.1016/j.autcon.2017.01.006
  • [102] Zhong, R. Y., Xu, X., & Wang, L. (2017). IoT-enabled Smart Factory Visibility and Traceability using Laser- scanners. Procedia Manufacturing, 10, 1–14. Retrieved from https://doi.org/10.1016/j.promfg.2017.07.103
  • [103] Zhou, C., Luo, H., Fang, W., Wei, R., & Ding, L. (2019). Cyber- physical-system-based safety monitoring for blind hoisting with the internet of things: A case study. Automation in Construction, 97(April 2018), 138–150. Retrieved from https://doi.org/10.1016/j.autcon.2018.10.017
Como citar:

Fialho, Beatriz Campos; Codinhoto, Ricardo; Fabricio, Márcio Minto; "BIM and IoT for the AEC Industry: A systematic literature mapping", p. 392-399 . In: Congreso SIGraDi 2020. São Paulo: Blucher, 2020.
ISSN 2318-6968, DOI 10.5151/sigradi2020-54

últimos 30 dias | último ano | desde a publicação


downloads


visualizações


indexações