Design and realization of an aeronautical cleaning robot for aircraft maintenance 4.0 based on artificial intelligence

Abstract

Preventive and corrective maintenance of aircraft are key elements in the aviation industry, with the aim of keeping the aircraft in good condition and available to personnel when they are needed. To do this, maintenance operations must be carried out rigorously and with great precision. The cleaning of an aircraft is a critical task in the preventive maintenance of the aircraft. This operation requires a human intervention after each stopover which causes unexpected material failures such as shocks on the fuselage in addition to a bad execution of the operation of cleaning of the seats evoking problems between the crew of the aircraft and the teams of cleaning, this causes a delay in the planning of the flights and financial overloads for the airline companies.In this study, we presented the design and realization of a cleaning robot that performs most of the tasks done by the cleaning teams such as vacuuming the carpet and collecting large waste. This robot is equipped with a camera and an artificial intelligence program installed on a raspbery4 board. We expect robotics to be one of the keys to replacing humans in the heart of production facilities in the Factory of the Future. As they can perform their tasks with infinite perfection in a precise time. Preventive and corrective maintenance of aircraft are key elements in the aviation industry, with the aim of keeping the aircraft in good condition and available to personnel when they are needed. To do this, maintenance operations must be carried out rigorously and with great precision. The cleaning of an aircraft is a critical task in the preventive maintenance of the aircraft. This operation requires a human intervention after each stopover which causes unexpected material failures such as shocks on the fuselage in addition to a bad execution of the operation of cleaning of the seats evoking problems between the crew of the aircraft and the teams of cleaning, this causes a delay in the planning of the flights and financial overloads for the airline companies.