An architecture for real-time interpretation and visualization of structural sensor data in a laboratory environment

Abstract

A visualization system is being developed out of the need to monitor, interpret, and make decisions based on the information from several thousand sensors during experimental testing. Complex structural models are routinely tested that have hundreds or thousands of sensors. During a test, it is impossible for a single researcher to effectively monitor all the sensors and subsequently interesting phenomena occur that are not recognized until post-test analysis. The ability to detect and alert the researcher to these unexpected phenomena as the test progresses will significantly enhance the understanding and utilization of complex test articles. A scalable architecture is described to address the complex computational demands of laboratory experimental testing. The researcher monitors the test using a photographic quality 3D graphical model with actual sensor locations identified. In addition, researchers can quickly activate plots displaying time or load versus selected sensor response along with the expected values and predefined limits. The architecture has several key features. To illustrate it, a preliminary implementation is described monitoring the Stitched Composite Wing tested at LaRC.