Author(s)

Dieudonné Sama, Doua Allain Gnabahou^*, Brahima Bayili, Oula Fayçal Denilson Ouattara

Laboratoire de Chimie Analytique, de Physiques Spatiale et Energétique (L@CAPSE), Ecole Doctorale Sciences et Technologies, Université Norbert ZONGO, Koudougou, Burkina Faso.

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.

Global Reporting Format, Runway Surface Condition, Runway Contaminant, Non-Contact System, ICAO

Sama, D. , Gnabahou, D. , Bayili, B. and Ouattara, O. (2023) Non-Contact System for Global Reporting Format (GRF) Automation: Contaminant Body Detection and Depth Estimation in the Case of Rainy Weather. Open Journal of Applied Sciences, 13, 2127-2140. doi: 10.4236/ojapps.2023.1311165.