Development of a Visualized Data Management System for Life-Cycle Health Monitoring of Civil Structures

Abstract:

The data management system (DMS) is an essential part for long-term structural health monitoring (SHM) systems, which stores a pool of monitoring data for various applications. A robust database within a DMS is generally used to archive, manage and update life-cycle information of civil structures. However, many applications especially those to large-scale structures provide little support for visualizing the long-term monitoring data. This paper presents the development of an efficient visualized DMS by integrating 4-dimension (4D) model technology, nested relational database, and virtual reality (VR) technology. Spatial data of the 4D model are organized in nested tables, while real-time (temporal) monitoring data are linked to the 4D model. The model is then reconstructed by use of an OpenSceneGraph 3D engine. A user interface is developed to query the database and display the data via the 4D model. To demonstrate its efficiency, the proposed method has been applied to the Canton Tower, a supertall tower-like structure instrumented with a long-term SHM system

• Periodical: Advances in Science and Technology (Volume 83)
• Pages: 188-197
• DOI: https://doi.org/10.4028/www.scientific.net/AST.83.188
• Online since: September 2012
• Authors: Ke Chang Lin, Yi Qing Ni, Xiao Wei Ye, Kai Yuan Wong
• Keywords: Data Management System, Database, Spatio-Temporal Data, Structural Health Monitoring (SHM)

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