Abstract
The huge amounts of sensor data generated by large scale sensor networks in on-line structural health monitoring (SHM) systems often overwhelms the systems’ capacity for data transmission and analysis. This paper presents a new concept for an integrated SHM system in which a streamlined data flow is used as a unifying thread to integrate the individual components of on-line SHM systems. Such an integrated SHM system has a few desirable functionalities including embedded sensor data compression, interactive sensor data retrieval, and structural knowledge discovery, which aim to enhance the reliability, efficiency, and robustness of on-line SHM systems. Adoption of this new concept will enable the design of an on-line SHM system with more uniform data generation and data handling capacity for its subsystems. To examine this concept in the context of vibration-based SHM systems, real sensor data from an on-line SHM system comprising a scaled steel bridge structure and an on-line data acquisition system with remote data access was used in this study. Vibration test results clearly demonstrated the prominent performance characteristics of the proposed integrated SHM system including rapid data access, interactive data retrieval and knowledge discovery of structural conditions on a global level.
Highlights
IntroductionThe importance of structural health monitoring (SHM) in the design, construction, maintenance and post-extreme event repair of civil engineering structures has been recognized in the past decade
The importance of structural health monitoring (SHM) in the design, construction, maintenance and post-extreme event repair of civil engineering structures has been recognized in the past decade.Vibration-based SHM methods have the potential to detect damages in structures in a global sense [1,2,3,4].Many damage detection methods that examine changes in the vibration characteristics of monitored structures have been devised quantitative assessment of structural damages using real vibration data collected from civil engineering structures still remains to be a challenging task today.Structural health monitoring can be considered in a statistical framework
Prominent performance characteristics of such an integrated SHM system include: sensor data size is reduced before transmission by specially designed sensor data compression methods [15]; an interactive data retrieval method further alleviates the demand on communication channels by transmitting only selected data set and provides data users with the flexibility of selecting data resolution and time windows to view and download data through feature monitoring [16]; structural knowledge discovery is based on a second order structural system identification method [17]
Summary
The importance of structural health monitoring (SHM) in the design, construction, maintenance and post-extreme event repair of civil engineering structures has been recognized in the past decade. Prominent performance characteristics of such an integrated SHM system include: sensor data size is reduced before transmission by specially designed sensor data compression methods [15]; an interactive data retrieval method further alleviates the demand on communication channels by transmitting only selected data set and provides data users with the flexibility of selecting data resolution and time windows to view and download data through feature monitoring [16]; structural knowledge discovery is based on a second order structural system identification method [17] To examine this concept in the context of a vibration-based SHM system, real sensor data from an on-line. SHM system comprising a scaled steel bridge and an on-line data acquisition system with remote data access was used in this study
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