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Linkage Between a 3D Bridge Model and an IoT Information Model

NOBUYOSHI YABUKI, SEIKI KOYAMA, TOMOHIRO FUKUDA

Abstract


Installation of sensors to bridges is usually drawn on 2D drawings so that human engineers must read them carefully to evaluate sensing data according to the sensor types, locations, directions, characteristics of the member the sensor is attached, installation method, bridge types, defects or deterioration of the bridge, etc. Since this process cannot be automated, it would take a long time and effort to do this work if the number of sensors to be installed to a bridge becomes hundreds or thousands. In fact, due to the progress of Internet of Things (IoT), many wireless sensors could be installed to many bridges. In order to solve this problem, first, a context-rich 3D bridge product model such as Industry Foundation Classes (IFC) should be developed. Then, a sensor (IoT) information model should be developed. Finally, both of the data models should be linked together so that the system can automatically make complicated queries about the relationship between the bridge and sensors, and can infer the bridge behavior based on the sensing data and condition of the bridge. In this research, a bridge product model has been developed by extending the IFC Bridge product data model which is currently being developed and a sensor data model has been developed. Currently, the linkage part between the two data models is being investigated and developed.


DOI
10.12783/shm2019/32450

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