Automated Mining Equipment Monitoring: Enhancing Efficiency through Sensor Technology and Predictive Maintenance

The mining industry is pivotal to the economy, yet it faces significant challenges in maintaining equipment reliability and efficiency. Downtime of machinery can lead to substantial financial losses, operational delays, and safety risks. Mining operations are inherently complex, involving significant investments in machinery and equipment [1]. The efficiency and reliability of mining equipment are crucial for maintaining operational profitability and safety. With advancements in sensor technology and data analytics, automated equipment monitoring systems are becoming pivotal in enhancing operational effectiveness. This paper presents a comprehensive design for a system that utilizes sensors for real-time monitoring of mining equipment performance and health. By implementing predictive maintenance alerts, this system aims to mitigate downtime and enhance operational efficiency in mining operations [2].