Page 13 - ITU-T Focus Group on Aviation Applications of Cloud Computing for Flight Data Monitoring - Use cases and requirements

ITU-T Focus Group on Aviation Applications of Cloud Computing for Flight Data Monitoring
Use cases and requirements

No. Use case Category Comment Section
9 Abnormal movement of passen- A - High Collect video of people's movement along the aisle of 4.22
gers and crew the aircraft. Analyse and detect abnormal movement
through the use of on the fly real-time video analytics.
10 Reliability B - Low Analysis of dispatch reliability, failure rates of sys- 4.9
tems, failure rates of components.
11 Flight planning B - Low Analysis of collected flight data to optimize ground 4.23
processes, flight processes and passenger services.

12 Fuel optimization B - Low Collect, analyse and store fuel-related aircraft data to 4.7
optimize flight procedures and flight routes.

13 Predictive maintenance B - Low Collect, analyse and store aircraft performance data 4.2
for early detection of degradation. The reliability of
an A/C can be significantly increased by detection
and replacement of attired parts.
14 Route planning and optimization B - Low Analysis of collected flight data to optimize airline 4.8
network, schedules and passenger services.

15 Flight crew techniques B - Low Analysis of quick access recorder (QAR) data to opti- 4.11
mize flight procedures and practices.

16 Approach statistics B - Low Analysis of procedures, timing, performance indica- 4.12
tors, etc., of importance for approach and landing.

Maintenance reports for air- B - Low Maintenance and monitoring of reports to be for- 4.13
fraimers, engines and equipment warded to manufacturers for condition monitoring.
manufacturers

17 Meteorological purposes B - Low Provide meteorological data of interest to weather 4.14
service providers.

18 Cargo monitoring and tracking B - Low Information on cargo such as cargo hold tempera- 4.15
ture, load sheet, etc.
19 Airspace optimization B - Low Analysis and optimization of airspace, such as routes, 4.16
based on aircraft positions over time and technical
capabilities.

20 Flight information display system B - Low Arrival and departure information shown in airports, 4.17
on websites, or other media.
21 Green aircraft/fuel, noise, B - Low Analysis of performance data with respect to fuel 4.18
carbon footprint burn and noise to reduce carbon footprint and
noise emissions.
22 Information for research and devel- B - Low Provide access to the selected flight data to research 4.19
opment (R&D) facilities to support their work and increase the qual-
ity of their results.

23 Information for regulatory purposes B - Low Provision of collected flight data to support regula- 4.20
tory organizations in their work.

24 Passenger and crew health monitoring B - Low Monitoring of passengers and crew with biometric 4.24
sensors to detect diseases.
25 Entertainment based on flight data B - Low Computer games based on real flight data to provide 4.25
realistic scenarios and experiences.
26 Medical and health management B - Low Analysis of the impact on health due to noise, stress, 4.26
on air travel pollution, etc.

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