Análise das oportunidades oferecidas pela associação BIM-IA à produção do ambiente construído
DOI:
https://doi.org/10.46421/sibragec.v14i.7614Keywords:
BIM, Inteligência Artificial, Tecnologias digitais, Modernização da construçãoAbstract
As possibilidades oferecidas pelas tecnologias digitais se desenvolvem num ritmo além da capacidade da indústria da construção civil absorver mudanças. Dessa forma, é pertinente considerar alternativas para auxiliar (e acelerar) esse processo. Este artigo aborda as alternativas para associar a metodologia BIM (Building Information Modeling) à inteligência artificial (IA) – tecnologia digital que se desdobra em alternativas como: aprendizado de máquinas (Machine Learning), modelos de linguagem em grande escala (Large Language Models), entre outras. Realizou-se uma busca em bases nacionais e estrangeiras utilizando os strings {artificial intelligence} e {BIM}. Na base Scopus foram encontrados 755 documentos que, após os filtros, excluindo artigos de áreas não afins e palavras-chave selecionadas, resultaram em 95 documentos relacionados à indústria da construção civil. Os documentos foram analisados e os resultados indicaram alternativas da associação BIM+IA, especialmente na: gestão (projeto e obra), digitalização/gêmeos digitais, gestão das informações, riscos/segurança do trabalho, e produtividade/pré-fabricação. Entre os temas emergentes que podem aumentar a produtividade no processo de projeto e obra destacam-se os sistemas de comunicação/conversação, incorporando a linguagem natural ao processo de análise e, portanto, facilitando a interação pessoas-tecnologia. O levantamento realizado revelou um número reduzido de artigos, indicando a necessidade de se pensar novas investidas.
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References
ALMATARED, Manea et al. Digital Twin in the Architecture, Engineering, and Construction Industry: A Bibliometric Review. In: CONSTRUCTION RESEARCH CONGRESS 2022, 2022, Proceedings [...].. [S.l.]. [S.l.]: American Society of Civil Engineers (ASCE), 2022. p. 670–677. Disponível em: https://doi.org/10.1061/9780784483961.070. Acesso em: 21 mar. 2025
AL-SADOON, Nidhal; SCHERER, Raimar J.; MENZEL, Karsten. Multimodel Framework for Digital Twin Empowerment. In: AL-SADOON, Nidhal; SCHERER, Raimar J.; MENZEL, Karsten (Ed.). Advances in Information Technology in Civil and Building Engineering. Cham: Springer, p. 561–570. ISBN 978-3-031-35398-7. Disponível em: https://doi.org/10.1007/978-3-031-35399-4_38. Acesso em: 21 mar. 2025
AN, Shi; MARTINEZ RODRIGUEZ, Pablo; AL-HUSSEIN, Mohamed; AHMAD, Rafiq. BIM-based decision support system for automated manufacturability check of wood frame assemblies. Automation in Construction, v. 111, art. 103065, 2020. Disponível em: https://doi.org/10.1016/j.autcon.2019.103065. Acesso em: 25 mar. 2025.
CHEN, Ling-Kun et al. Modular composite building in urgent emergency engineering projects: A case study of accelerated design and construction of Wuhan Thunder God Mountain/Leishenshan hospital to COVID-19 pandemic. Automation in Construction, v. 124, p. 103555, 2021. Disponível em: https://doi.org/10.1016/j.autcon.2021.103555. Acesso em: 25 mar. 2025.
CHERNYSHEV, Denys et al. Digital Object Detection of Construction Site Based on Building Information Modeling and Artificial Intelligence Systems. In: INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGIES, 2022, 2022, Proceedings [...]. [S.l.]. [S.l.]: [s.n.], 2022. p. 1–6. Disponível em: https://doi.org/10.1109/CSIT56902.2022.10000717. Acesso em: 21 mar. 2025.
DAWOOD, Huda; SIDDLE, Jonathan; DAWOOD, Nashwan. Integrating IFC and NLP for automating change request validations. Journal of Information Technology in Construction, v. 24, p. 540–552, 2019. Disponível em: https://www.itcon.org/2019/30. Acesso em: 25 mar. 2025.
DE WINTER, Heinder; BASSIER, Maarten; VERGAUWEN, Maarten. Digitisation in road construction: automation of as-built models. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives, v. XLVI-5/W1-2022, p. 69–76, 2022. Disponível em: https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-69-2022. Acesso em: 21 abr. 2025.
DESAI, Pradnya; SANDBHOR, Sayali; KAUSHIK, Amit. AI and BIM-based construction defects, rework, and waste optimization. In: PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI 2023), 2023, Proceedings [...]. Pune, Índia. Piscataway: IEEE, 2023. p. 1–6. ISBN 978-1-6654-7524-2. DOI: 10.1109/ESCI56872.2023.10099726. Acesso em: 21 abr. 2025.
DEUTSCH, Randy. Convergence: The Redesign of Design.ed. Hoboken: John Wiley & Sons, 240 p. ISBN 978-1-119-25621-2
DIAS, A.M.; SANTOS, L.C.G.S.; DINIZ, H.A.G. Inteligência artificial na engenharia civil. In: SOUZA, Ednilson Sergio Ramalho de (org.). Coleção pesquisas em temas de engenharias. Belém: RFB, 2023. p. 217-243. DOI: 10.46898/rfb.239965b3-5d6a-49eb-8c06-7b6be32468e4.
DOHERTY, Mike; ESMAEILI, Behzad. Application of Artificial Intelligence in Electrical Safety. IEEE Transactions on Industry Applications, Proceedings [...]. v. 58, n. 4, p. 4535–4543, 2022. Disponível em: https://doi.org/10.1109/TIA.2022.3145678. Acesso em: 21 abr. 2025.
GAMBOA-ROSALES, Nadia Karina; LÓPEZ-ROBLES, José Ricardo. Evolução da Indústria 4.0 para a Indústria 5.0: Avaliação da estrutura concetual e perspectivas de um campo emergente. Transinformação, v. 35, 2023. Disponível em: https://periodicos.puc-campinas.edu.br/transinfo/article/view/7319. Acesso em: 24 jun. 2025
GOVERNMENT DIGITAL SERVICE. Artificial Intelligence Playbook for the UK Government. Fevereiro de 2025. Disponível em: https://www.gov.uk/government/publications/ai-playbook-for-the-uk-government/artificial-intelligence-playbook-for-the-uk-government-html. Acesso em: 21 mar. 2025.
HEATON, James; PARLIKAD, Ajith Kumar. Asset Information Model to support the adoption of a Digital Twin: West Cambridge case study. IFAC-PapersOnLine, v. 53, p. 366-371, 2020.
HSIEH, Chang-Cheng; CHEN, Hung-Ming; CHEN, Wan-Yu; WU, Ting-Yu. Integration of Construction Progress Monitoring Results using AI Image Recognition from Multiple Cameras onto a BIM. 41st International Symposium on Automation and Robotics in Construction (ISARC), Proceedings [...] Lille, França, 2024. p. 691–698. ISBN 978-0-6458322-1-1. DOI: https://doi.org/10.22260/ISARC2024/0090.
KEMPAINEN, Annika; KOLLI, Tanja; HEIKKILÄ, Rauno. Development of Online Course for Open Infra Built Environment Information Model. In: PROCEEDINGS OF THE 41ST INTERNATIONAL SYMPOSIUM ON AUTOMATION AND ROBOTICS IN CONSTRUCTION (ISARC), Proceedings [...] Lille, França, 2024. p. 1025–1032. ISBN 978-0-6458322-1-1. DOI: https://doi.org/10.22260/ISARC2024/0133.
KHAN, Numan; NADEAU, Sylvie; PHAM, Xuan-Tan; BOTON, Conrad. Exploring associations between accident types and activities in construction using natural language processing. Automation in Construction, v. 164, p. 105457, 2024. DOI: https://doi.org/10.1016/j.autcon.2024.105457.
LIKHITRUANGSILP, Veerasak; HANDAYANI, Tantri N.; IOANNOU, Photios G.; YABUKI, Nobuyoshi. A BIM-enabled system for evaluating impacts of construction change orders. Construction Research Congress 2018 Proceedings [...] p. 622-631. Disponível em: https://doi.org/10.1061/9780784481264.061. Acesso em: 21 abr. 2025.
LIN, T.; HUANG, Y.; PUTRANTO, A. Intelligent question and answer system for building information modeling and artificial intelligence of things based on the bidirectional encoder representations from transformers model. Automation in Construction, [S.l.], v. 134, p. 104053, 2022. DOI: 10.1016/j.autcon.2021.104053.
LU, Qiuchen; XIE, Xiang; PARLIKAD, Ajith Kumar; SCHOOLING, Jennifer; KONSTANTINOU, Eirini. Moving from Building Information Models to Digital Twins for Operation and Maintenance. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, [S.l.], v. 7, p. 109-118, 2020. DOI: 10.1680/jsmic.19.00030.
NABAVI, A.; RAMAJI, I. J.; SADEGHI, N.; ANDERSON, A. Leveraging Natural Language Processing for Automated Information Inquiry from Building Information Models. J. Inf. Technol. Constr., v. 28, p. 266-285, 2023. Disponível em: https://itcon.org/papers/2023_13-ITcon-Nabavi.pdf Acesso em: 21 abr. 2025
NAVEED, Humza et al. A Comprehensive Overview of Large Language Models. ArXiv, 2023. Disponível em: https://arxiv.org/abs/2307.06435. Acesso em: 21 abr. 2025.
NOBLE, Stephanie M. MENDE, Martin; GREWAL, Dhruv; PARASURAMAN, A. The Fifth Industrial Revolution: How Harmonious Human–Machine Collaboration is Triggering a Retail and Service [R]evolution. Journal of Retailing, v. 98, n. 2, p. 199-208, 2022. Disponível em: https://doi.org/10.1016/j.jretai.2022.04.003. Acesso em: 21 abr. 2025.
NOVEMBRI, G.; ROSSINI, F. Swarm modelling framework to improve design support systems capabilities. Journal of Information Technology in Construction, v. 25, p. 398-415, 2020. Disponível em: https://www.itcon.org/papers/2020_23-ITcon-Novembri.pdf Acesso em: 21 abr. 2025.
NUNEZ-MORALES, Juan D.; JUNG, Yoonhwa; GOLPARVAR-FARD, Mani. Evaluation of Mapping Computer Vision Segmentation from Reality Capture to Schedule Activities for Construction Monitoring in the Absence of Detailed BIM. In: Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC 2024). Lille, França, 2024. p. 847–854. DOI: https://doi.org/10.22260/ISARC2024/0110.
PENG, Le; CHUA, David K. H. Decision Support for Mobile Crane Lifting Plan with Building Information Modelling (BIM). Procedia Engineering, v. 182, p. 563-570, 2017. DOI: 10.1016/j.proeng.2017.03.160.
PIRAS, Giuseppe; MUZI, Francesco; TIBURCIO, Virginia Adele. Digital Management Methodology for Building Production Optimization through Digital Twin and Artificial Intelligence Integration. Buildings, 2024. Disponível em: https://www.mdpi.com/2075-5309/14/4/543. Acesso em: 21 abr. 2025.
PRIETO, Samuel A.; GIAKOUMIDIS, Nikolaos; GARCIA DE SOTO, Borja. Multiagent robotic systems and exploration algorithms: Applications for data collection in construction sites. Journal of Field Robotics, v. 41, p. 1187-1203, 2023. Disponível em: https://doi.org/10.1002/rob.22177. Acesso em: 21 abr. 2025.
SALGADO-REYES, N.; NICOLADE-RODRIGUEZ, D.; MEZA, J.; VACA-CARDENAS, M. Artificial Intelligence and Its Impact on Digital Transformation Processes. In: ROCHA, Á.; FAJARDO-TORO, C.H.; RODRÍGUEZ, J.M.R. (Eds.). Developments and Advances in Defense and Security. Singapore: Springer, 2024. p. 380. Disponível em: https://doi.org/10.1007/978-981-99-8894-5_4. Acesso em: 21 abr. 2025.
SHAHZAD, Muhammad; SHAFIQ, Muhammad Tariq; DOUGLAS, Dean; KASSEM, Mohamad. Digital Twins in Built Environments: An Investigation of the Characteristics, Applications, and Challenges. Buildings, v. 12, n. 2, p. 120, 2022. DOI: https://doi.org/10.3390/buildings12020120. Acesso em: 21 abr. 2025.
SINGH, Jyoti; ANUMBA, Chimay J.; CHENG, Jack C. P. Artificial Intelligence-Based Framework for Automating Practical Pipe System Installation Schedule Optimization and Generation. In: ISSA, R. Raymond A. (Ed.). Computing in Civil Engineering 2021: Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021. Virginia, EUA: American Society of Civil Engineers, 2022. p. 859–867. DOI: https://doi.org/10.1061/9780784483893.106.
SORBI, Tommaso; GETULI, Vito; CAPONE, Pietro; RAHIMIAN, Farzad Pour. Agent-based simulation framework for enhanced construction site risk estimation and safety management. Journal of Information Technology in Construction (ITcon), v. 29, p. 1219–1238, 2024. DOI: https://doi.org/10.36680/j.itcon.2024.054. Acesso em: 21 abr. 2025.
TAN, Tan; MILLS, Grant; PAPADONIKOLAKI, Eleni; LU, Weisheng; CHEN, Ke. BIM-enabled Design for Manufacture and Assembly. In: Proceedings of the 27th International Workshop on Intelligent Computing in Engineering (EG-ICE 2020). Berlim, Alemanha, 2020. p. 314–323. DOI: 10.14279/depositonce-9977.
TONIOLO, Alice; LEON, Marianthi. Towards computational dialogue types for BIM collaborative design: an initial study. In: BISTARELLI, Stefano; GIACOMIN, Massimiliano; PAZIENZA, Andrea (Eds.). Proceedings of the 1st Workshop on Advances in Argumentation in Artificial Intelligence (AI³ 2017). Bari, Itália, 16-17 nov. 2017. CEUR Workshop Proceedings, v. 2012, p. 79–84. Disponível em: http://ceur-ws.org/Vol-2012/AI3-2017_paper_8.pdf. Acesso em: 21 abr. 2025.
TRZECIAK, Maciej; BRILAKIS, Ioannis. Dense 3D Reconstruction of Building Scenes by AI-Based Camera–Lidar Fusion and Odometry. Journal of Computing in Civil Engineering, v. 37, n. 4, p. 04023022, jul. 2023. DOI: https://doi.org/10.1061/JCCEE5.CPENG-4909.
WANG, Ning; ISSA, Raja R. A.; ANUMBA, Chimay J. Query answering system for building information modeling using BERT NN algorithm and NLG. In: Computing in Civil Engineering 2021: Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021. Virgínia, EUA: American Society of Civil Engineers, 2022. p. 1–8. DOI: https://doi.org/10.1061/9780784483893.053.
WORLD ECONOMIC FORUM (WEF). Future of Jobs Report. Janeiro de 2025. Disponível em: https://reports.weforum.org/docs/WEF_Future_of_Jobs_Report_2025.pdf. Acesso em: 21 mar. 2025.
XIE, Haiyan; SHI, Wei; ISSA, Raja R. A. Implementation of BIM/RFID in computer-aided design-manufacturing-installation process. Journal of Information Technology in Construction (ITcon), v. 16, p. 291–308, 2011. Disponível em: https://www.itcon.org/2011/19. Acesso em: 21 abr. 2025.
XU, Xun; LU, Yuqian; VOGEL-HEUSER, B.; WANG, Lihui. Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of manufacturing systems, v. 1192, 1 out. 2021. Disponível em: <https://doi.org/10.1016/j.jmsy.2021.10.006> Acesso: 24 jun 2025
YANG, Honglei; XIA, Min. Advancing bridge construction monitoring: AI-based building information modeling for intelligent structural damage recognition. Applied Artificial Intelligence, v. 37, p. 1-15, 2023. Disponível em: https://doi.org/10.1080/08839514.2023.2180625. Acesso em: 21 abr. 2025.
ZAWADA, Karol; RYBAK-NIEDZÍÓŁKA, Kinga; DONDEREWICZ, Mikołaj; STARZYK, Agnieszka. Digitization of AEC industries based on BIM and 4.0 technologies. Buildings, v. 14, n. 2, p. 175-187, 2024. Disponível em: https://doi.org/10.3390/buildings14020175. Acesso em: 21 abr. 2025.
ZHENG, J.; FISCHER, M. Dynamic prompt-based virtual assistant framework for BIM information search. Automation in Construction, v. 144, p. 104382, 2023. Disponível em: https://doi.org/10.1016/j.autcon.2023.104382. Acesso em: 21 abr. 2025.
ZHONG, Ray Y. et al. Towards Physical Internet-enabled prefabricated housing construction in Hong Kong. IFAC-PapersOnLine, v. 48, p. 1079-1086, 2015. Disponível em: https://doi.org/10.1016/j.ifacol.2015.06.204. Acesso em: 21 abr. 2025.
ZHOU, D.; ZHANG, L.; LI, X.; LIU, Y.; ZHANG, Y.; LI, Z. Technology gap analysis on the BIM-enabled design process of prefabricated buildings: An autoethnographic study. Buildings, v. 14, n. 11, p. 3498, 2024. Disponível em: https://doi.org/10.3390/buildings14113498. Acesso em: 21 abr. 2025.
ZIATDINOV, Rushan.; ATTERAYA, Madhu. S.; NABIYEV, Rifkat The Fifth Industrial Revolution as a Transformative Step towards Society 5.0. Societies, v. 14, n. 2, p. 19, 2024. Disponível em: https://doi.org/10.3390/soc14020019 Acesso em: 24 jun. 2025
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