Cyberinfrastructure Middleware and Analytical Tool Sets for Automated Mining of Massive Structural Health Monitoring Data Sets

Deployment of dense networks of low-power wireless sensors has been shown to be a cost-effective approach to structural monitoring that can generate massive volumes of data. Building a specialized cyberinfrastructure system is an efficient way to store and organize large volumes of data (sensor and metadata) in addition to processing it. Availability of structure metadata (e.g., geometric details, material properties, inspection histories) further enhances the post-collection analysis of the data collected. In this paper, a comprehensive cyberinfrastructure and its associated computing technologies are proposed to serve as the backbone of large-scale, permanent, structural, monitoring systems. A powerful data server called SenStore is described as the primary building block of the proposed cyberinfrastructure framework. This paper describes SenStore and its use in continuously monitoring the Telegraph Road Bridge (Monroe, MI) using a permanently installed wireless sensor network.