ABSTRACT
In order to realize efficient long-term structural health monitoring, this paper proposes an integrated data man-agement platform that integrates support from collecting various data sets to analyzing them to detect state changes and anomalies. This platform is called PIERS, a platform for inexpensive and efficient monitoring of infrastructures. One of features of the proposed system is that the system is compatible with both conventional and IoT approaches.In the conventional method, each component, such as sensor, logger and transmitter, is installed separately and then connected by cables. Loggers convert the output of sensors into a digital value and records it, while trans-mitters send them to the server. On the other hand, the latter approach uses IoT devices that integrate sensor measurement with data recording and transfer. The proposed system gives a solution to collect and manage syn-chronized data efficiently with IoT devices and other sensing modules.The purpose of long-term monitoring is mainly twofold. One is that the road manager can always confirm the status of structures and can promptly be notified by an alert when an anomaly occurs. In addition, it is to be able to look back on the state before and after those anomalies. For this purpose, detailed and high-density data col-lection is not necessary. The other is the purpose used by civil engineering researchers and experts (high-level analysts) to analyze the progress of deterioration of structures. For this purpose, it is required that the measure-ment be accurate and dense. In the proposed system, users including road managers and experts can search data and extracted events with a standard search interface using a web browser and visualize them in a dashboard. In addition, experts in civil engineering can directly access the database through the API from their own analysis programs to analyze phenomena interactively.
