Decision Support Systems for Launch and Range Operations Using Jess

Document Number: 2007-01-3865

Date Published: September 2007

Author(s):
Rajkumar Thirumalainambi - PSGS @ NASA Ames Research Center

Abstract:
The virtual test bed for launch and range operations developed at NASA Ames Research Center consists of various independent expert systems advising on weather effects, toxic gas dispersions and human health risk assessment during space-flight operations. An individual dedicated server supports each expert system and the master system gathers information from the dedicated servers to support the launch decision-making process. Since the test bed is based on the web system, reducing network traffic and optimizing the knowledge base is critical to its success of real-time or near real-time operations. Jess, a fast rule engine and powerful scripting environment developed at Sandia National Laboratory has been adopted to build the expert systems providing robustness and scalability. Jess also supports XML representation of knowledge base with forward and backward chaining inference mechanism. Facts added to working memory during run-time operations facilitate analyses of multiple scenarios. Knowledge base can be distributed with one inference engine performing the inference process. This paper discusses details of the knowledge base and inference engine using Jess for a launch and range virtual test bed.

File Size: 270K
Product Status: In Stock

Included in: V116-2007

See other papers presented at AeroTech Congress & Exhibition, September 2007, Los Angeles, CA, USA, Session: Aerospace Operations II

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