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Duration: 14 months
Starting date: May 2014
Project Contact:
Antonio Falcão

This project is financed by ESA/ESRIN under the TRP programme.

GEAF (EO Ground Segment Elements Automation Feasibility)
Project Summary
GEAF is a project dedicated to build an autonomous and intelligent mission orchestrator prototype. The main goals of the prototype are reducing the human intervention in the data processing of Payload Data Ground Segment (PDGS) missions and optimizing the quality of the processed data and performance of the instruments.

The objectives of the project are:
1) Analyse of end-to-end processing models for ESA missions: SMOS, SWARM and forthcoming EarthCARE in relation to processing facilities such as MMFI and/or Grid Processing On-Demand (G-POD).

2) Select most suitable technology and develop a prototype implementing the required automation.

3) Demonstrate the capability of the prototype to deal with end-to-end processing orchestration for selected missions.

4) Identify integration path for the prototype in G-POD and/or MMFI.

Uninova's tasks consist in developing two distinct processing modules, a Monitoring Module and an Automated Engine, which use artificial intelligence algorithms to analyse and take an automatic decision regarding any anomaly found in the processing orchestration of the missions.



Research Topics
  • Artificial intelligence
  • Decision support systems