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

机译:开发民用结构生命周期健康监测的可视化数据管理系统

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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.
机译:数据管理系统(DMS)是长期结构健康监测(SHM)系统的重要组成部分,其存储各种应用的监控数据池。 DMS中的强大数据库通常用于存档,管理和更新民用结构的生命周期信息。然而,尤其是那些对大规模结构的应用程序提供了很少的支持,可用于可视化长期监控数据。本文通过集成4维(4D)模型技术,嵌套关系数据库和虚拟现实(VR)技术,介绍了高效可视化DMS的开发。 4D模型的空间数据在嵌套表中组织,而实时(时间)监视数据链接到4D模型。然后通过使用露面图3D发动机重建该模型。开发用户界面以查询数据库并通过4D模型显示数据。为了证明其效率,所提出的方法已应用于广州塔,具有长期SHM系统的超级塔架结构。

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