1213 データベースを使用した構造ヘルスモニタリングのメタデータ活用法に関する研究(建築・都市のモニタリングとリスク制御(1))

概要

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Various system identification methods and damage detection methods have been proposed. Thus, Structural Health Monitoring (SHM) systems have been improved. As a result, the number of real structures with SHM systems is increasing. However, the system which monitors many buildings by SHM technologies is not popular, yet. In our laboratory, smart sensor unit (data acquisition and data management), data analysis method (system identification and damage detection), and user interface (Web-site and MATLAB Web server) for SHM have been studied and developed. This SHM system surveils the soundness of structures dotted over wide areas using SHM technology and networks, and publishes the result of diagnosis to the public. In this study, a new SHM system which uses database is proposed. It is indicated that the database (PostgreSQL) and Hypertext Preprocessor (PHP) enable extraction of data required from a large quantity of data.
社団法人日本機械学会の論文
2007-08-08