Real-Time Non-Intrusive Monitoring of Wear and Damage on Mining Truck Tires Using Digital Image Processing

Silva G.J.F.; Solorzano L.F.C.; Suarez J.T. · SSRG International Journal of Electronics and Communication Engineering (2025) · DOI: 10.14445/23488549/ijece-v12i3p113

Resumen

Truck tires, vulnerable to severe wear and possible damage in hostile settings, are a major component of mining operations' dependability and safety. This study describes a real-time, non-intrusive monitoring system that uses Digital Image Processing methods to identify tire wear and corrosion on mining trucks. While the mining truck is in motion, the system continuously captures video images of the surface via a camera located on the tire's fender. The processing method analyses these photos in real-time and categorises potential hazards such as jammed rocks, embedded nails or foreign wear. Because the system can quickly identify and report these problems, corrective action can be taken immediately, reducing the likelihood of tire failure and improving overall operational safety. The method ensures the longevity and performance of mining truck tires while reducing downtime and maintenance costs. It is also reasonably priced and scalable. Preliminary tests demonstrate the system's effectiveness in various mining situations, underscoring the potential for widespread use in the industry.

Instituciones: Universidad Nacional de San Agustín de Arequipa