PSI - Issue 84

Antonio Sannino et al. / Procedia Structural Integrity 84 (2026) 890–897

895

Fig. 5. Example of tunnel segments attention class managed in ARGO

2.4. Inspection process Previously, the tunnel inspection process relied on manually maintained Excel sheets for each tunnel, which posed significant challenges in terms of efficiency and data management. Inspectors recorded observations, measurements, and other critical details in separate spreadsheets, resulting in fragmented data storage. This approach often led to duplication, and difficulty in retrieving historical data for comparative analysis. Additionally, the lack of integration with advanced visualization or analytical tools limited the ability to derive meaningful insights from the data, making the process time-consuming and less effective for decision-making. The inspection process powered by ARGO software streamlines data consistency and significantly enhances efficiency. By centralizing data collection, processing, and management within a unified platform, ARGO ensures that all inspection related information is standardized and easily accessible. This eliminates inconsistencies that often arise from manual data entry or fragmented storage systems. The inspection process within ARGO is divided into two key phases: the field inspection phase and the back-office analysis phase.

Fig. 6. Example of ARGO mobile application

During the field inspection phase, teams equipped with a mobile app featuring a two-dimensional model of the tunnel execute the inspection. Once the field data collection is complete, the process proceeds to the back-office phase via synchronization, where engineers and specialists can access the cloud-based platform and analyze collected data. The tablet used in the field provides real-time access to inspection data, allowing inspectors to view and analyze the 2D projections generated by the laser scanner immediately. This capability enables quick decision-making in the field