Future Human Exploration missions will face new constraints as crews move further from terrestrial communication, resupply, and the real-time support enjoyed by Low Earth Orbit missions today. Exploration crews will need to be more self-reliant and able to respond to emergencies without immediate support from ground-based personnel. A new generation of technologies, employing advanced analytical and predictive modeling techniques, is needed to assist the crew’s work, help maintain their health, and inform the decisions they make on these future Exploration missions. The Crew Health and Performance Integrated Data Architecture (CHP-IDA) project is laying a foundation for these future technologies by integrating sources of data generated by and around the crew and then providing them though common data models and Application Programming Interfaces to external systems. The combined data model makes comprehensive Crew Health and Performance data accessible and more meaningful to the decision-making process. This presentation will describe the currently ongoing effort to develop and evaluate a path-to-flight concept of the CHP-IDA software, current integrations, updates to the architecture, and examples of exploration scenarios in which CHP-IDA would be used.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Crew Health and Performance Integrated Data Architecture Project Updates


    Contributors:
    B Schmitt (author) / A Smith (author) / D Beaugrand (author) / M Lyons (author) / M Beaugrand (author) / P Augustine (author) / L Montalvo (author)

    Conference:

    Investigators Workshop ; 2024 ; Galveston, TX, US


    Publication date :

    2024-02-12


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English







    Commercial Crew Program and Orion/SLS Updates

    Wilson, Stephanie D. | NTRS | 2015


    Crew Health & Performance 101

    K. MacNeill / M. V. Baalen / D. Buckland | NTIS | 2022