The visualization front-end of a Decision Support System (DSS) also includes an analysis engine linked to vehicle telemetry, and a database of learned models for known behaviors. Because the display is graphical rather than text-based, the summarization it provides has a greater information density on one screen for evaluation by a flight controller. This tool provides a system-level visualization of the state of a vehicle, and “drill-down” capability for more details and interfaces to separate analysis algorithms and sensor data streams.
The system-level view is a 3D rendering of the vehicle, with sensors represented as icons, tied to appropriate positions within the vehicle body and colored to indicate sensor state (e.g., normal, warning, anomalous state, etc.). The sensor data is received via an Information Sharing Protocol (ISP) client that connects to an external server for real-time telemetry. Users can interactively pan, zoom, and rotate this 3D view, as well as select sensors for a detail plot of the associated time series data. Subsets of the plotted data can be selected and sent to an external analysis engine to either search for a similar time series in an historical database, or to detect anomalous events.
The system overview and plotting capabilities are completely general in that they can be applied to any vehicle instrumented with a collection of sensors. This visualization component can interface with the ISP for data streams used by NASA’s Mission Control Center at Johnson Space Center. In addition, it can connect to, and display results from, separate analysis engine components that identify anomalies or that search for past instances of similar behavior.
This software supports NASA’s Software, Intelligent Systems, and Modeling element in the Exploration Systems Research and Technology Program by augmenting the capability of human flight controllers to make correct decisions, thus increasing safety and reliability. It was designed specifically as a tool for NASA’s flight controllers to monitor the International Space Station and a future Crew Exploration Vehicle.
This program was written by Joseph Jacob, Michael Turmon, Timothy Stough, and Herbert Siegel of Caltech and Patrick Walter and Cindy Kurt of United Space Alliance for NASA’s Jet Propulsion Laboratory.
This software is available for commercial licensing. Please contact Karina Edmonds of the California Institute of Technology at (626) 395-2322. Refer to NPO-43952.
This Brief includes a Technical Support Package (TSP).
Visualization Component of Vehicle Health Decision Support System (reference NPO-43952) is currently available for download from the TSP library.
Please Login at the top of the page to download.