This paper reports the results of a project supported by the National Aeronautics and Space Administration, Office of Aeronautics and Space Technology (NASA-OAST) under the Advanced Life Support Development Program. It is an initial attempt to integrate artificial intelligence techniques (via expert systems) with conventional quantitative modeling tools for advanced physical-chemical life support systems. The addition of artificial intelligence techniques will assist the designer in the definition and simulation of loosely/well-defined life support processes/problems as well as assist in the capture of design knowledge, both quantitative and qualitative. Expert system and conventional modeling tools are integrated to provide a design workstation that assists the engineer/scientist in creating, evaluating, documenting and optimizing physical-chemical life support systems for short-term and extended duration missions.


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    Title :

    DAWN (Design Assistant Workstation) for Advanced Physical-Chemical Life Support Systems


    Additional title:

    Sae Technical Papers



    Conference:

    Intersociety Conference on Environmental Systems ; 1989



    Publication date :

    1989-07-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Advanced Physical-Chemical Life Support Systems Research

    Evanich, Peggy L. | SAE Technical Papers | 1988



    Physical-Chemical Life Support Systems

    Sulzman, F. M. / Genin, A. M. / Humphries, William R. et al. | AIAA | 1994