Integração BIM-GIS-IA no gerenciamento de operação e manutenção: uma revisão da literatura
DOI:
https://doi.org/10.46421/sibragec.v14i.6674Palavras-chave:
Building information modeling, Geographic information system, Inteligência artificial, Operação e manutenção, Inspeção automatizadaResumo
A operação e manutenção de ativos da construção civil têm evoluído com a adoção de tecnologias digitais, como o Building Information Modeling (BIM), o Geographic Information System (GIS) e a Inteligência Artificial (IA). Embora avanços em integrações parciais (BIM-GIS, BIM-IA, GIS-IA) sejam observados, a literatura ainda carece de abordagens integradas que combinem as três tecnologias em fluxos padronizados voltados para inspeção e manutenção de ativos. Este estudo realizou uma revisão sistemática da literatura, complementada por análise bibliométrica e qualitativa, para mapear o estado da arte da integração BIM-GIS-IA com foco na identificação de fissuras e defeitos para manutenção de ativos da construção civil. A metodologia seguiu as diretrizes PRISMA, com busca de artigos na base Scopus, aplicação de critérios de elegibilidade e análise por meio do software VOSviewer. Os resultados indicaram tendências como a utilização de drones, técnicas de aprendizado profundo e integração com gêmeos digitais, mas também evidenciaram desafios de interoperabilidade e robustez dos modelos de IA. O estudo sistematiza as contribuições recentes da literatura, destaca lacunas relevantes e aponta direções para o desenvolvimento de soluções mais integradas no apoio à gestão de ativos.
Downloads
Referências
ACHUTHAN, K. et al. A Digital Information Model Framework for UAS-Enabled Bridge Inspection. Energies, v. 14, n. 19, p. 6017, 22 set. 2021.
BÖRNER, K.; CHEN, C.; BOYACK, K. W. Visualizing knowledge domains. Annual Review of Information Science and Technology, v. 37, n. 1, p. 179–255, jan. 2005.
CARRASCO, C. A. et al. Methodology for 3D Management of University Faculties Using Integrated GIS and BIM Models: A Case Study. Buildings, v. 14, n. 11, p. 3547, nov. 2024.
CEPA, J. J. et al. Integrating BIM and GIS for an Existing Infrastructure. Applied Sciences, v. 14, n. 23, p. 10962–10962, nov. 2024.
CHATZARGYROS, G. et al. UAV Inspections of Power Transmission Networks with AI Technology: A Case Study of Lesvos Island in Greece. Energies, v. 17, n. 14, p. 3518–3518, jul. 2024.
CHUN, P.; YAMANE, T.; TSUZUKI, Y. Automatic Detection of Cracks in Asphalt Pavement Using Deep Learning to Overcome Weaknesses in Images and GIS Visualization. Applied Sciences, v. 11, n. 3, p. 892, jan. 2021.
CONGIU, E. et al. Building Information Modeling and Geographic Information System: Integrated Framework in Support of Facility Management (FM). Buildings, v. 14, n. 3, p. 610, mar. 2024.
DAULAT, S. et al. Challenges of integrated multi-infrastructure asset management: a review of pavement, sewer, and water distribution networks. Structure and Infrastructure Engineering, p. 1–20, 9 set. 2022.
DIPANKAR, A.; SUMAN, S. K. Pavement crack detection based on a deep learning approach and visualisation by using GIS. International Journal of Pavement Engineering, v. 24, n. 1, fev. 2023.
FALAGAS, M. E. et al. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and Weaknesses. The FASEB Journal, v. 22, n. 2, p. 338–342, fev. 2008.
GAO, Y. et al. Bridge Digital Twin for Practical Bridge Operation and Maintenance by Integrating GIS and BIM. Buildings, v. 14, n. 12, p. 3731–3731, nov. 2024.
HU, D.; YEE, T.; GOFF, D. Automated crack detection and mapping of bridge decks using deep learning and drones. Journal of Civil Structural Health Monitoring, v. 14, n. 3, p. 729–743, jan. 2024.
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, fev. 2021.
LAWAL, O.; NAWARI, N. O. Blockchain and City Information Modeling (CIM): A New Approach of Transparency and Efficiency. Journal of Information Technology in Construction, v. 28, p. 711–734, 7 nov. 2023.
LIU, X. et al. BIM, IoT, and GIS integration in construction resource monitoring. Automation in Construction, v. 174, p. 106149, jun. 2025.
MA, Z. et al. Data-driven decision-making for equipment maintenance. Automation in Construction, v. 112, n. 1, p. 103103, abr. 2020.
MESCHINI, S. et al. Toward cognitive digital twins using a BIM-GIS asset management system for a diffused university. Frontiers in Built Environment, v. 8, dez. 2022.
NARINDRI, B. P. K.; NUGROHO, A. S. B.; AMINULLAH, A. Developing Building Management System Framework using Web-based-GIS and BIM Integration. Civil Engineering Dimension, v. 24, n. 2, p. 71–84, 3 out. 2022.
OHUERI, C. C.; MASROM, MD. A. N.; NOGUCHI, M. Human-robot collaboration for building deconstruction in the context of construction 5.0. Automation in Construction, v. 167, p. 105723, nov. 2024.
PAGE, M. J. et al. The PRISMA 2020 statement: an Updated Guideline for Reporting Systematic Reviews. British Medical Journal, v. 372, n. 71, mar. 2021.
PAN, Y.; ZHANG, L. Integrating BIM and AI for Smart Construction Management: Current Status and Future Directions. Archives of Computational Methods in Engineering, v. 30, 3 nov. 2022.
PAUL, J.; BARARI, M. Meta‐analysis and Traditional Systematic Literature reviews—What, why, when, where, and how? Psychology & Marketing, v. 39, n. 6, p. 1099–1115, mar. 2022.
PIRAS, G.; MUZI, F.; ZYLKA, C. Integration of BIM and GIS for the Digitization of the Built Environment. Applied Sciences, v. 14, n. 23, p. 11171–11171, 29 nov. 2024.
QIAN, Y.; LENG, J. CIM-based modeling and simulating technology roadmap for maintaining and managing Chinese rural traditional residential dwellings. Journal of Building Engineering, p. 103248, set. 2021.
RODRIGUES, B. N. et al. Digital survey applied to the assessment of pathological manifestations in the architectural heritage of monte alegre in Piracicaba/SP. Journal of Building Pathology and Rehabilitation, v. 8, n. 1, jun. 2023.
SANDU, G.; VARGANOVA, O.; SAMII, B. Managing physical assets: a systematic review and a sustainable perspective. International Journal of Production Research, p. 1–23, 3 out. 2022.
SHARAFAT, A. et al. BIM-GIS-Based Integrated Framework for Underground Utility Management System for Earthwork Operations. Applied Sciences, v. 11, n. 12, p. 5721, 20 jun. 2021.
SHEKARGOFTAR, A. et al. An Integrated Framework for Operation and Maintenance of Gas Utility Pipeline Using BIM, GIS, and AR. Journal of Performance of Constructed Facilities, v. 36, n. 3, jun. 2022.
SINGH, V. K. et al. The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, v. 126, n. 6, p. 5113–5142, mar. 2021.
SU, H.-N.; LEE, P.-C. Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight. Scientometrics, v. 85, n. 1, p. 65–79, jun. 2010.
TAN, Y. et al. Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection. Automation in Construction, v. 139, p. 104284, jul. 2022.
TANG, L. et al. Developing a BIM GIS–Integrated Method for Urban Underground Piping Management in China: A Case Study. Journal of Construction Engineering and Management, v. 148, n. 9, set. 2022.
TSAIMOU, C. N. et al. Mapping cracks on port concrete pavements by analyzing structural health monitoring metadata with computer vision-based techniques. Complex Engineering Systems, v. 4, n. 4, nov. 2024.
WEI, J. et al. BIM and GIS Applications in Bridge Projects: A Critical Review. Applied Sciences, v. 11, n. 13, p. 6207, jul. 2021.
WEST, J. et al. Asset maintenance in Australian commercial buildings. Frontiers in Built Environment, v. 10, 14 jun. 2024.
WÓJCIK, B.; MATEUSZ ŻARSKI, M. Assessment of State-of-the-Art Methods for Bridge Inspection: Case Study. Arch. Civ. Eng., dez. 2020.
XIA, H. et al. Study on City Digital Twin Technologies for Sustainable Smart City Design: a Review and Bibliometric Analysis of Geographic Information System and Building Information Modeling Integration. Sustainable Cities and Society, v. 84, p. 104009, jun. 2022.
ZHAN, J. et al. Maintenance Approaches Using 3D Scanning Point Cloud Visualization, and BIM+ Data Management: A Case Study of Dahei Mountain Buildings. Buildings, v. 14, n. 9, p. 2649, ago. 2024.
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2025 SIMPÓSIO BRASILEIRO DE GESTÃO E ECONOMIA DA CONSTRUÇÃO
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
