DEVELOPMENT AND VALIDATION OF A DATABASE BASED ON A LINKED DATA MODEL OF A BRIDGE AND SENSORS

Abstract

 The Ministry of Land, Infrastructure, Transport and Tourism (MLIT) mandates bridge managers to perform periodic inspections once every five years. Currently, sensors get smaller and cheaper, so many sensors are expected to be installed on bridges to monitor them. Humans judge the condition of the bridges from a large amount of sensing data and the situation data of sensor installation. In order to determine the status of a bridge by computers to be as well as humans, it is necessary to analyze not only the sensing data but also the relationship between the bridge and the installed sensors. Therefore, this study proposes a method for managing the relationship between bridges and sensors using databases such as relational databases and Not only SQL (NoSQL) databases. By managing the relationship between bridges and sensors with databases, the information on bridge properties can be managed with the sensing data. In the verification experiment, it was confirmed that the proposed method reduced the human work time by 30 % compared to the conventional information management based on drawings and documents.