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

作　　者：刘龙繁 曾磊 陈串串 肖罡 LIU Longfan;ZENG Lei;CHEN Chuanchuan;XIAO Gang(Jiangxi Copper Technology Institute Co.,Ltd.,Nanchang 330096,China)

机构地区：[1]江西铜业技术研究院有限公司,江西南昌330096

出　　处：《铜业工程》2025年第2期1-9,共9页Copper Engineering

基　　金：国家重点研发计划项目(2023YFC3904200);江西省自然科学基金项目(20224ACB2180022);江西省重大科技研发专项项目(20232ACE01010)资助。

摘　　要：随着矿业技术的不断发展,对矿石分选装备的智能化需求日益增加。本文提出了一种基于设备树管理理论的矿石光电分选设备智能运维系统及方法,通过整合矿石光电分选设备相关的运行状态数据、运维过程数据、诊断结果数据和运维知识数据,构建了统一的数字化设备对象模型以及故障诊断和预测运行方法,满足了设备运行监视、智能预警、故障诊断等基础需求,更为状态评估、智能决策和经济运行等高阶应用提供了有力支持。该模型不仅提升了设备的智能化运维水平,减少了人为因素的干扰,还为矿石分选设备的高效运行和智能化管理提供了有力保障,为矿业企业的数字化转型和智能化升级奠定了基础。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 results,and maintenance knowledge of the optical sorting equipment to construct a unified digital equipment model,along with fault diagnosis and predictive maintenance methods.This approach fulfills basic functional requirements such as equipment monitoring,intelligent early warning,and fault diagnosis,while providing strong technical support for equipment status assessment,intelligent decision-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 

分 类 号：TD952[矿业工程—选矿]