BIM Live: integration of monitoring data in to architectural BIM models
DOI:
https://doi.org/10.20868/ade.2026.5722Keywords:
dynamic data, BIM, interoperability, IoT, monitoringAbstract
Integrating dynamic data into BIM models makes it possible to represent the actual behaviour of buildings and support decisions on energy efficiency, comfort and maintenance. This study develops a replicable and scalable workflow for incorporating environmental monitoring data into an architectural Autodesk Revit model. The case study covers eight rooms in an educational building with different orientations and elevations. The methodology structures sensor records, links them to model elements, and automates their updating and visualisation within the BIM environment, with particular attention to system interoperability. The implementation enables graphical representation of temperature and humidity variations according to room orientation and use, as well as the identification of patterns relevant to ventilation, maintenance and spatial redesign. The results show that linking monitored data to BIM improves interpretation of the building’s environmental performance. The procedure can be transferred to other buildings, variables and sensing systems, and provides an operational basis for integrating IoT technologies and progressing towards assetmanagement- oriented digital twins
Downloads
References
1. Asociación Española de Normalización. (2019). Organización y digitalización de la información en obras de edificación e ingeniería civil que utilizan BIM (Building Information Modelling). Gestión de la información al utilizar BIM (Building Information Modelling). Parte 1: Conceptos y principios (UNE-EN ISO 19650-1:2019). AENOR. https://tienda.aenor.com/p/norma-une-en-iso-19650-1-2019-n0062137
2. Autodesk. (s. f.-a). Autodesk Tandem. Recuperado el 22 de octubre de 2025, de https://www.autodesk.com/products/tandem/overview
3. Autodesk. (s. f.-b). Dynamo for Revit. Recuperado el 22 de octubre de 2025, de https://help.autodesk.com/view/RVT/2024/ENU/?guid=RevitDynamo_Dynamo_for_Revit_html
4. Autodesk. (s. f.-c). Revit. Recuperado el 22 de octubre de 2025, de https://www.autodesk.com/products/revit/overview
5. Azhar, S., Hein, M., & Sketo, B. (2008, 2–5 de abril). Building information modeling (BIM): Benefits, risks and challenges [Ponencia]. 44th ASC Annual International Conference, Auburn, Alabama, Estados Unidos.
6. Bastos Porsani, G., Del Valle de Lersundi, K., Sánchez-Ostiz Gutiérrez, A., & Fernández Bandera, C. (2021). Interoperability between Building Information Modelling (BIM) and Building Energy Model (BEM). Applied Sciences, 11(5), 2167.https://doi.org/10.3390/app11052167
7. Begić, H., Galić, M., & Dolaček-Alduk, Z. (2022). Digitalization and automation in construction project’s life-cycle: A review. Journal of Information Technology in Construction, 27, 441–460. https://doi.org/10.36680/j.itcon.2022.021
8. Boje, C., Guerriero, A., Kubicki, S., & Rezgui, Y. (2020). Towards a semantic construction digital twin: Directions for future research. Automation in Construction, 114, 103179. https://doi.org/10.1016/j.autcon.2020.103179
9. Guerrero Ramírez, K., Nuevo-Gallardo, C., Santamaría Ulecia, J.M., Montalbán Pozas, B., & Fernández Bandera, C.(2025). Calibrated models for effective clustering:Discriminating operation schedules in occupied buildings.Building Simulation, 18(1), 161–181. https://doi.org/10.1007/s12273-024-1200-z
10. Lu, Q., Xie, X., Parlikad, A. K., & Schooling, J. M. (2020). Digital twin-enabled anomaly detection for built asset monitoring in operation and maintenance. Automation in Construction,118, 103277.https://doi.org/10.1016/j.autcon.2020.103277
11. Python Software Foundation. (s. f.). Python 3 documentation. Recuperado el 5 de agosto de 2026, de https://docs.python.org/3/
12. 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, 127–139. https://doi.org/10.1016/j.autcon.2019.01.020
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Autor / BY-NC

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Anales de Edificación does not charge authors for processing or publishing an article and provides immediate Open Access to its content. All content is available free of charge to the user or his institution. Users are permitted to read, download, copy, distribute, print, search or link to the full text of articles, or use them for any other lawful purpose, without prior permission from the publisher or author. This is in accordance with the BOAI definition of open access.
- Authors retain the copyright and grant to the journal the right to a Creative Commons attribution / Non-Commercial / Non-Derivative 4.0 International (CC BY NC ND) License that allows others to share the work with an acknowledgement of authorship and non-commercial use.
- Authors may separately establish additional agreements for the non-exclusive distribution of the version of the work published in the journal (for example, placing it in an institutional repository or publishing it in a book).
Unless otherwise indicated, all contents of the electronic edition are distributed under a Creative Commons license.








