Abstract

This paper discusses a data quality control, handling, and assurance process for real-time on-line monitoring. It further displays the processing steps during a typical data quality assurance. Data process design and utilization varies with type of data and information to be presented. Design of a data-flow process that would lead to real-time visualization, engineering analysis, storage, and archival of data is quite challenging for real-time on-line monitoring applications. An existing system for continuous health monitoring of a ling-span bridge is described and the design of the data quality assurance (DQA) steps is discussed. Wind that is monitored at various stations at the bridge is processed using the DQA steps. This paper further illustrates the identification of stationary wind segments on the attempt to correlate this with the various responses obtained from the critical components of the bridge.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call