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Automating the Request Process for the Deep Space Network

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DataCite Commons2025-06-01 更新2026-05-03 收录
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http://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.LZP0JF
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NASA’s Deep Space Network (DSN) is responsible for tracking and communications with over 50 missions using 14 large antennas across three global sites. The scheduling process for DSN is intricate, requiring extensive manual input and negotiation among multiple stakeholders. To improve efficiency and reduce delays, the DSN Intelligent Virtual Assistant (DIVA) has been developed to provide assistance to DSN schedulers in multiple ways. DIVA is designed to automate scheduling request generation, and change proposal monitoring and response handling. This paper describes the architecture, design, and benefits of DIVA, along with opportunities for future enhancements.
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2025-06-01
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