BIM-Based Methods for Road Maintenance Management through Embedded Sensor and Road Damage Detection

Embedded sensors in structures such as in roads play a critical role in monitoring structural degradation and ensure safety and longevity of structures. However, while initial positioning of these sensors is straightforward, accurately locating buried sensors becomes a challenge especially as road surfaces degrade over time. When sensors require maintenance, such as battery replacements, malfunction repairs, or damage fixes, the accuracy of their location is crucial to prevent unnecessary costs and road destruction, wasted labor hours, and compromised data integrity. This paper addresses this issue by proposing the BIM-based framework to accurately model and record the precise coordinates of sensors in using Revit-Dynamo approach. The BIM system not only documents sensor locations at the time of installation but also continuously updates this information as the road surface evolves. By using Dynamo automation, sensor data - including latitudes, longitudes, and elevation - is efficiently imported and managed within the BIM model, minimizing errors and enhancing operational efficiency. The study’s approach shifts maintenance practices from a reactive to a proactive model, allowing for timely interventions based on accurate sensor location data. Furthermore, this paper explores the scalability of the approach for other infrastructure types and lays the groundwork for future technological enhancements, such as AI and IoT integration for predictive maintenance.