自动化
机器人学
国家(计算机科学)
人工智能
工程类
工业4.0
制造工程
计算机科学
数据科学
机器人
嵌入式系统
机械工程
算法
作者
Mabel Obosu,Samuel Frimpong
标识
DOI:10.1016/j.jsasus.2025.05.003
摘要
The mining industry is undergoing a transformative evolution driven by novel intelligent technologies to eliminate fatalities within the next two decades. The integration of automation, robotic systems, artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), drones, remote monitoring, and other intelligent systems is expected to significantly improve safety, efficiency, and sustainability. Autonomous vehicles, equipped with sensors and navigation systems enable continuous operation in hazardous environments while reducing the risk of accidents and injuries. These intelligent systems are vital in preventing, managing, and responding to mine accidents and emergencies. They enhance precision and reliability in drilling, excavation, and material handling, leading to higher productivity. These technologies contribute to a safer mining industry by improving risk management, expediting emergency responses, and reducing the frequency and severity of mine accidents. This paper provides a comprehensive review of the recent developments and applications of intelligent systems within the mining sector. It also demonstrates how these novel intelligent systems would shape the mining industry of the future. The main novelty of this work includes the exploration of the benefits, challenges, and prospects associated with the adoption of these intelligent systems in the mining industry of the future.
科研通智能强力驱动
Strongly Powered by AbleSci AI