铜业工程Issue(2)：1-9,9.DOI:10.3969/j.issn.1009-3842.2025.02.001
矿石光电分选系统的设备树构建及智能运维应用
Intelligent Operation and Maintenance System for Photoelectric Sorting Equip-ment Based on Device Tree
摘要
Abstract
With the continuous advancement of mining technology,the demand for intelligent mineral sorting equipment is growing.This paper proposes an intelligent operation and maintenance system and method for optical sorting equipment in mineral processing,based on the theory of equipment tree management.The method integrates operational data,maintenance process data,diagnostic re-sults,and maintenance knowledge of the optical sorting equipment to construct a unified digital equipment model,along with fault di-agnosis and predictive maintenance methods.This approach fulfills basic functional requirements such as equipment monitoring,intel-ligent early warning,and fault diagnosis,while providing strong technical support for equipment status assessment,intelligent deci-sion-making,and economic operation optimization.The model not only elevates the level of intelligent operation and maintenance for the equipment,minimizing human intervention,but also offers robust support for the efficient operation and intelligent management of mineral sorting equipment.It lays a solid foundation for the digital transformation and intelligent upgrading of mining enterprises.关键词
设备树/光电分选/智能运维/故障预测/状态评估Key words
device tree/photoelectric sorting/intelligent operation and maintenance/fault prediction/condition assessment分类
矿山工程引用本文复制引用
刘龙繁,曾磊,陈串串,肖罡..矿石光电分选系统的设备树构建及智能运维应用[J].铜业工程,2025,(2):1-9,9.基金项目
国家重点研发计划项目(2023YFC3904200) （2023YFC3904200）
江西省自然科学基金项目(20224ACB2180022) （20224ACB2180022）
江西省重大科技研发专项项目(20232ACE01010)资助 （20232ACE01010）
