G.S. Semmel, S.R. Davis, K.W. Leucht, D.A.Rowe, K.E. Smith, and L. Bölöni

NESTA: NASA Engineering Shuttle Telemetry Agent


Cite as:

G.S. Semmel, S.R. Davis, K.W. Leucht, D.A.Rowe, K.E. Smith, and L. Bölöni. NESTA: NASA Engineering Shuttle Telemetry Agent. In Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, pp. 1491–1498, July 2005. IAAI-05 Deployed Application Award

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Abstract:

The Spaceport Processing Systems Branch at NASA Kennedy Space Center has developed and deployed an agent based tool to monitor the Space Shuttle's ground processing telemetry stream. The application, the NASA Engineering Shuttle Telemetry Agent, increases situational awareness for system and hardware engineers during ground processing of the Shuttle's subsystems. The agent provides autonomous monitoring of the telemetry stream and automatically alerts system engineers when predefined criteria have been met. Efficiency and safety are improved through increased automation. Sandia National Labs' Java Expert System Shell is employed as the rule engine. The shell's predicate logic lends itself well to capturing the heuristics and specifying the engineering rules of this spaceport domain. The declarative paradigm of the rule-based agent yields a highly modular and scalable design spanning multiple subsystems of the Shuttle. Several hundred monitoring rules have been written thus far with corresponding notifications sent to Shuttle engineers. This paper discusses the rule-based telemetry agent used for Space Shuttle ground processing and explains the problem domain, development of the agent software, benefits of AI technology, and deployment and sustaining engineering of the product.

BibTeX:

@inproceedings{Semmel-2005-IAAI,
author = "G.S. Semmel and S.R. Davis and K.W. Leucht and D.A.
Rowe and K.E. Smith and L. B{\"o}l{\"o}ni",
title = "{NESTA}: {NASA} Engineering Shuttle Telemetry Agent",
month = "July",
year = 2005,
booktitle = "Proceedings of the 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference",
note = "<b>IAAI-05 Deployed Application Award</b>",
pages = {1491-1498},
abstract = {
  The Spaceport Processing Systems Branch at NASA Kennedy Space Center
  has developed and deployed an agent based tool to monitor the Space
  Shuttle's ground processing telemetry stream. The application, the
  NASA Engineering Shuttle Telemetry Agent, increases situational
  awareness for system and hardware engineers during ground processing
  of the Shuttle's subsystems. The agent provides autonomous monitoring
  of the telemetry stream and automatically alerts system engineers
  when predefined criteria have been met. Efficiency and safety are
  improved through increased automation.
  Sandia National Labs' Java Expert System Shell is employed as the
  rule engine. The shell's predicate logic lends itself well to
  capturing the heuristics and specifying the engineering rules of this
  spaceport domain. The declarative paradigm of the rule-based agent
  yields a highly modular and scalable design spanning multiple
  subsystems of the Shuttle. Several hundred monitoring rules have been
  written thus far with corresponding notifications sent to Shuttle
  engineers. This paper discusses the rule-based telemetry agent used
  for Space Shuttle ground processing and explains the problem domain,
  development of the agent software, benefits of AI technology, and
  deployment and sustaining engineering of the product.
 },
mynote = "Acceptance Rate: 18\%",
}

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