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
Partners
Links
|
|