KLEAN

Knowledge-based EFB for green flight trajectory decision aid

 Coordinatore CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI 

 Organization address address: VIALE G. P. USBERTI 181A
city: PARMA
postcode: 43124

contact info
Titolo: Prof.
Nome: Fabrizio
Cognome: Berizzi
Email: send email
Telefono: 393357000000
Fax: 390502000000

 Nazionalità Coordinatore Italy [IT]
 Totale costo 745˙988 €
 EC contributo 559˙491 €
 Programma FP7-JTI
Specific Programme "Cooperation": Joint Technology Initiatives
 Code Call SP1-JTI-CS-2011-03
 Funding Scheme JTI-CS
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-06-01   -   2014-07-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LE TELECOMUNICAZIONI

 Organization address address: VIALE G. P. USBERTI 181A
city: PARMA
postcode: 43124

contact info
Titolo: Prof.
Nome: Fabrizio
Cognome: Berizzi
Email: send email
Telefono: 393357000000
Fax: 390502000000

IT (PARMA) coordinator 559˙491.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

awrp    processor    green    efb    optimization    ob    aviation    database    graphical    demonstrator    weather    agent    packages    contributes    refinement    quasi    integration    functions    certification    interface    intelligence    software    algorithms    external    trajectories    custom    artificial    environmental    electronic    customized    flight    crew    klean    trajectory    decision    implementing    internal    emissions    optimal    noise    roadmap    sensors    display    qai    gui    pilot    output    bag    aircraft    mission    sw    radar    post    tool    simulator    interfaces   

 Obiettivo del progetto (Objective)

'The MAIN OBJECTIVE of the KLEAN project is to develop a custom knowledge-based EFB (Electronic Flight Bag) with SW packages implementing Advanced Weather Radar Post-processor (AWRP) and QAI (Quasi-Artificial Intelligence) agent algorithms, provided by Selex Galileo, for green trajectory optimization (reduction of CO2 and NOX emissions as well as noise pollution). The EFB is also customized to include an ad hoc Graphical User Interface (GUI) for output presentation and pilot interaction and custom I/O interfaces to radar processor, external sensors/systems/database and the Mission/Flight simulator.

To get this goal, the following SPECIFIC OBJECTIVES are aimed: Ob.1 - EFB overview, selection and purchasing Ob.2 - SW integration and refinement of AWRP algorithms Ob.3 - SW integration and refinement of QAI agent algorithm for green trajectory optimization Ob.4 - Design and implementation of a GUI interface for result display and control Ob.5 - Design and implementation of a few I/O interfaces for the PWRP, for the Mission/flight simulator and for the internal/external sensors/system/database Ob.6 - Realization and testing of a demonstrator of the KLEAN system Ob.7 - Roadmap for the KLEAN system certification

The innovative contributions of the proposal are:

In1 - A customization of existing EFB with some new advanced functionalities for facilitating the pilot on the decision of trajectory changes in presence of evident external change conditions. In2 - SW integration and refinement of advanced radar post-processing and QAI agent algorithms for green trajectory optimization. In3 - Design and implementation of customized GUI interfaces for a friendly interpretation of QAI outcomes and for EFB system control. In4 - Validation and testing of the customized EFB to specific realistic operative scenarios through the use of mission/flight simulator in order to enhance the added value provided by the KLEAN system. In5 - Roadmap for the FAA certification of the KLEAN EFB.'

Introduzione (Teaser)

EU-funded scientists are developing an advanced tool to help flight crew choose the optimal aircraft flight trajectory considering also weather conditions. This should help reduce aviation fuel consumption, emissions and noise.

Descrizione progetto (Article)

With ever-increasing complexity of pilots' required information, the Electronic Flight Bag (EFB) is essential to help the crew perform flight management tasks more easily and efficiently. Carrying a range of applications for viewing documentation and performing the necessary calculations, new functions have further expanded EFB capabilities. These include weather classification and artificial intelligence algorithms, implemented and optimised during EFB development and integrated with its standard functions.

Funded by the EU, the 'Knowledge-based EFB for green flight trajectory decision aid' (http://klean.cnit.it/ (KLEAN)) project is focused on the development of a custom-built knowledge-based EFB. Including new functions such as real-time optimal planning of the aircraft path, the tool contributes to lessening an aircraft's environmental impact. It also includes trajectory management in the event of adverse weather conditions.

The tool includes software packages implementing advanced weather radar post-processor (AWRP) and quasi-artificial intelligence (QAI) agent algorithms for green aircraft trajectories. A customised graphical user interface enables display of information, whereas input/output interfaces enable communication with radar processors and internal or external sensors as well as flight simulators.

Project partners purchased an EFB and worked on refining the AWRP and QAI agent algorithms as well as integrating these software packages with the EFB. KLEAN system architecture was defined. They also succeeded in developing and testing a demonstrator and then shifted their focus on defining a roadmap for certifying the system.

By more precise and reliable green trajectories, optimised for minimum noise and emissions, KLEAN contributes to achieving the environmental goals of the Advisory Council for Aviation Research and Innovation in Europe (ACARE). Improvements in on-board existing equipment provide the pilot with useful tools for optimising flight trajectories without compromising safety.

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