The Application Status and Development Trend of Data-driven Technology in Mine Engineering

Abstract

With the rapid advancement of science and technology, data-driven technologies have found extensive applications across various industries, including mining. Traditional mining methods, which often involve significant safety risks, low operational efficiency, and high environmental costs, are increasingly being challenged by the need for more sustainable and efficient practices. This has highlighted the urgency of transforming the mining industry through the adoption of intelligent mining solutions. This paper reviews several commonly used data-driven technologies currently employed in mining production, such as 5G communication, Big Data Analytics, and Digital Twin Technology. These technologies enable real-time monitoring, predictive analytics, and virtual simulations, significantly improving operational efficiency, safety, and environmental performance. By examining the applications and integration of these technologies in both domestic and international contexts, this study analyzes the emerging development trends, key directions, and major challenges faced by intelligent mining systems. The goal is to provide valuable references and insights for promoting the digital transformation of the mining industry, contributing to the industry's sustainable development, and supporting the intelligent evolution of mining practices to ensure long-term viability and resilience in the face of environmental and market challenges.