Title :
In-Situ Site Knowledge System [Mars technology program]
Author :
Lee, Meemong ; Weidner, Richard J.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Abstract :
In support of the transition from human-based in-situ mission operations to automated smart operations, the mission simulation and instrument modeling group at JPL has been developing a progressive in-situ automation framework. The In-Situ Site Knowledge System (ISSKS) presented in this paper is the first phase of the automation framework, which addresses flexible virtual site construction, instrument-generic measurement simulation, and intelligent operation service agents. The ISSKS is developed in three tiers. The first tier is composed of site property modeling and synthesis, for construction of a virtual in-situ environment. The second tier is composed of sensor system models and mobility platform models, for simulating in-situ exploration and science data products. The third tier is the operation interface, supporting the mobility platform simulation clients with surface interaction and operation planning activity clients with the observed site phenomena. The ISSKS currently supports several research tasks under the Mars technology program including the Smart Landing Systems, the Advanced EDL (Entry, Descent, and Landing), and the Rover technology.
Keywords :
aerospace computing; aerospace instrumentation; aerospace simulation; astronomy computing; knowledge based systems; planetary rovers; software agents; space research; space vehicles; Advanced EDL; ISSKS; In-Situ Site Knowledge System; JPL; Mars; Mars technology program; Rover technology; Smart Landing Systems; astronomy; astronomy computing; automated smart operations; descent; entry; flexible virtual site construction; in-situ automation framework; instrument modeling; instrument-generic measurement simulation; intelligent operation service agents; landing; mission simulation; mobility platform models; mobility platform simulation clients; operation interface; operation planning activity clients; planet; planetary surface; sensor system models; site property modeling; spacecraft mission; virtual site; Automation; Computational modeling; Extraterrestrial measurements; Geophysics computing; Instruments; Knowledge based systems; Knowledge representation; Rough surfaces; Sensor systems; Surface morphology;
Conference_Titel :
Aerospace Conference Proceedings, 2002. IEEE
Print_ISBN :
0-7803-7231-X
DOI :
10.1109/AERO.2002.1036857