Abstract:
This thesis presents a proof-of-concept of the designing of a prototype of an Intelligent Arduino-Based Metal Debris Collector System (InAMDeCS). The InAMDeCS is made up of the following: a metal detector system, a microcontroller and an electromagnet, as well as an audio system. The prototype employs the principle of Noncontact Active Debris Removal Techniques (NADRT) which encompasses real-time detection of metal debris (MD) using the pulse induction metal detection principle and electromagnetic attraction. A microcontroller coordinates the activities of the metal detection and a subsequent actuation of the electromagnet to remove the MD. The simulations of the metal detection system and the electromagnet’s specifications were performed in a laboratory setting. A change in inductance as a result of MD acting as core for an air-cored coil was observed as a change in tone of the audio system and read as a voltage change in an Arduino Integrated Development Environment. The data obtained was used in training the controller. The electromagnet could attract a six-inch nail at an average distance of 5 cm when a direct current voltage of 6 V to 12 V flows through it. It works by broadcasting a pulsating magnetic field, receiving a returned field and analysing it to ascertain the presence of MD by determining a change in the time constant of an inductor-capacitor oscillator. It can be used as attachment to vehicles used in cleaning roads or it can be developed into an automobile for road maintenance services. The results confirmed the applicability of the prototype in detecting and removing MD from roads and other work site.
