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Technical Note

Digital Transformation of Building Inspections: A Function-Oriented and Predictive Approach Using the FastFoam System

1
Faculty of Geoengineering, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland
2
Barcelona School of Building Construction—EPSEB, Universitat Politècnica de Catalunya—BarcelonaTECH, Dr Marañón Ave. 44-50, 08028 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Infrastructures 2025, 10(11), 310; https://doi.org/10.3390/infrastructures10110310 (registering DOI)
Submission received: 13 October 2025 / Revised: 12 November 2025 / Accepted: 13 November 2025 / Published: 17 November 2025
(This article belongs to the Section Infrastructures Inspection and Maintenance)

Abstract

This paper presents the concept, implementation, and evaluation of FastFoam—a web-based inspection system designed for the technical assessment of buildings. Developed through international collaboration, FastFoam supports flexible inspection workflows, structured data collection, and integration with classification systems and geospatial data. The system enables civil engineers to create, customize, and manage inspection templates, store inspection results in a centralized database, and analyze inspection data using both descriptive and extensible analytical tools.To assess user needs and guide system development, a nationwide survey was conducted among Polish civil engineering professionals. The results confirmed strong interest in mobile and web-based inspection tools, as well as specific functional expectations regarding template customization, defect documentation, and automated reporting. The system architecture follows a multi-layered design with separate user, server, and external service layers. It supports modular data structures, role-based access, and integration with external platforms such as OpenStreetMap and BIM systems. A key innovation of FastFoam is its implementation of the FOAM (Function-Oriented Assessment Methodology), which enables temporal analysis and prediction of building condition over various timeframes. A case study demonstrates the application of FastFoam in a real-world building inspection in Poland. The evaluation confirmed the system’s practical usability while also revealing opportunities for future enhancements including AI-based defect detection, IoT integration, offline mobile functionality, and open data export.
Keywords: building inspection; condition assessment; web application; FOAM methodology; inspection system; classification systems; BIM integration; predictive analysis building inspection; condition assessment; web application; FOAM methodology; inspection system; classification systems; BIM integration; predictive analysis

Share and Cite

MDPI and ACS Style

Rapiński, J.; Bednarczyk, M.; Tomaszewski, D.; Skotnicka-Siepsiak, A.; Templin, T.; Zabielski, J.; Royano, V.; Serrat, C. Digital Transformation of Building Inspections: A Function-Oriented and Predictive Approach Using the FastFoam System. Infrastructures 2025, 10, 310. https://doi.org/10.3390/infrastructures10110310

AMA Style

Rapiński J, Bednarczyk M, Tomaszewski D, Skotnicka-Siepsiak A, Templin T, Zabielski J, Royano V, Serrat C. Digital Transformation of Building Inspections: A Function-Oriented and Predictive Approach Using the FastFoam System. Infrastructures. 2025; 10(11):310. https://doi.org/10.3390/infrastructures10110310

Chicago/Turabian Style

Rapiński, Jacek, Michał Bednarczyk, Dariusz Tomaszewski, Aldona Skotnicka-Siepsiak, Tomasz Templin, Jacek Zabielski, Veronica Royano, and Carles Serrat. 2025. "Digital Transformation of Building Inspections: A Function-Oriented and Predictive Approach Using the FastFoam System" Infrastructures 10, no. 11: 310. https://doi.org/10.3390/infrastructures10110310

APA Style

Rapiński, J., Bednarczyk, M., Tomaszewski, D., Skotnicka-Siepsiak, A., Templin, T., Zabielski, J., Royano, V., & Serrat, C. (2025). Digital Transformation of Building Inspections: A Function-Oriented and Predictive Approach Using the FastFoam System. Infrastructures, 10(11), 310. https://doi.org/10.3390/infrastructures10110310

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