TITLE:
Non-Contact System for Global Reporting Format (GRF) Automation: Contaminant Body Detection and Depth Estimation in the Case of Rainy Weather
AUTHORS:
Dieudonné Sama, Doua Allain Gnabahou, Brahima Bayili, Oula Fayçal Denilson Ouattara
KEYWORDS:
Global Reporting Format, Runway Surface Condition, Runway Contaminant, Non-Contact System, ICAO
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.13 No.11,
November
29,
2023
ABSTRACT: The paper designed a non-contact system in order to
perform the application (on a runway) of the Global Reporting Format (GRF)
developed by International Civil Aviation Organization (ICAO). The system
involves devices that film the surface (a runway in our case) from the air and
displays the contaminant (water) body and measures the depth of the water
automatically during the inspection. While measuring, data are sent to a
computer used as a receiver. The developed devices are automatic devices
implemented specially to use during rainy weather or even for some other cases.
The aerial system uses a raspberry pi 4 model B, a camera, a laser
sensor, an ultrasonic module, a Virtual Network Computing (VNC) and python
codes developed by the authors. Results obtained show that using these devices
to retrieve the Runway Condition Report (RCR) is very fast and human presence
on the runway is not needed. The results obtained using these devices show that
the method used herein is a proper solution to the GRF issues in the rainy
areas, where the contaminant body detection and the accurate depth measurement
were not well estimated because of the lack of a suitable method.