DocumentCode :
3204067
Title :
SKEYP: AI Applied to SOHO Keyhole Operations
Author :
Policella, Nicola ; Siili, Tero ; Oliveira, Henrique
Author_Institution :
Eur. Space Oper. Center, Eur. Space Agency, Darmstadt, Germany
fYear :
2009
fDate :
19-23 July 2009
Firstpage :
58
Lastpage :
65
Abstract :
The Solar and Heliospheric Observatory´s (SOHO) mission operations team has - due to a spacecraft malfunction - had to deal with the Keyhole Periods problem since 2003. This combinatorial problem arises from the conflict between limited telemetry downlink capabilities during keyhole periods and the need to maximize the return of science data while respecting other constraints, such as limited on-board storage capacity. Until recently, this problem has been addressed by manually generating data production and downlink plans. This work presents the SOHO Keyhole Planner (SKEYP), a software tool designed to improve on the manual workflow for plan generation by shortening the time needed and reduce significance of the learning curve associated with this process.
Keywords :
aerospace instrumentation; artificial intelligence; software tools; space telemetry; space vehicles; SKEYP; SOHO Keyhole Planner; SOHO keyhole operations; Solar and Heliospheric Observatory; artificial intelligence; data production; downlink plans; keyhole periods; learning curve; manual workflow; on-board storage capacity; plan generation; software tool; spacecraft malfunction; telemetry downlink capability; Artificial intelligence; Downlink; Instruments; Observatories; Production; Radar antennas; Space missions; Space technology; Space vehicles; Telemetry; PLANNING; SCHEDULING; SCIENCE OPERATIONS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Space Mission Challenges for Information Technology, 2009. SMC-IT 2009. Third IEEE International Conference on
Conference_Location :
Pasadena, CA
Print_ISBN :
978-0-7695-3637-8
Type :
conf
DOI :
10.1109/SMC-IT.2009.16
Filename :
5226849
Link To Document :
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