Artificial Intelligence and Data Science
Online ISSN : 2435-9262
Study on a platform for infrastructure management that integrates IoT sensing information into a 3D model of a bridge
Genta GOTOKazuma INOUEWakana YOKOYAMAYuma KAWASAKIYuma KONISHISaki YAMAMOTO
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JOURNAL OPEN ACCESS

2025 Volume 6 Issue 1 Pages 258-264

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Abstract

This study was conducted to investigate the application of an infrastructure management platform that integrates data from 3D models and IoT sensing to remotely monitor damage to bridges, with the goal of quickly assessing damage status during maintenance management and earthquakes, and to large bridges such as expressway bridges. The study was carried out on large bridges such as motorway bridges. As a preliminary preparation, an integration platform was created for small- and medium-sized bridges using Rhinoceros 3D modelling software and Grasshopper visual programming language to test whether the integration of 3D models and local bridge information obtained through IoT sensing could be performed smoothly. The results showed that the girder expansion due to temperature change was not affected by the temperature change. As a result, it was confirmed that the integrated platform worked smoothly on a PC with general specifications, even with photographic resolution information that allowed confirmation of the shear deformation of the laminated rubber bearings following the expansion and contraction of the girders due to temperature changes.

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© 2025 Japan Society of Civil Engineers
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