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探讨矿山选厂设备维修计划智能预测系统

杨维民

世界有色金属Issue(2):41-43,3.
世界有色金属Issue(2):41-43,3.

探讨矿山选厂设备维修计划智能预测系统

Exploring the Intelligent Prediction System for Mine Selection Equipment Maintenance Plan

杨维民1

作者信息

  • 1. 金徽矿业股份有限公司,甘肃 陇南 742500
  • 折叠

摘要

Abstract

With the development of modern industry,equipment status monitoring and fault diagnosis technology has been widely applied in the field of production and manufacturing.For device management,the application of status monitoring and fault diagnosis technology has become increasingly important.At present,in the production of selection plants,due to the poor application of equipment status monitoring and fault diagnosis technology,many selection plants have not formulated effective maintenance plans.Therefore,this article proposes an intelligent prediction system for maintenance planning of selection equipment based on artificial intelligence technology,which can monitor and diagnose the status of equipment in real time according to the actual production situation of the selection plant.This system has the characteristics of accurate detection results,simple operation,and user-friendly interface,which can provide theoretical basis and technical support for the development of effective maintenance plans for mining beneficiation plants.

关键词

智能模型/维修周期/维修计划

Key words

intelligent model/Maintenance cycle/Maintenance Plan

分类

管理科学

引用本文复制引用

杨维民..探讨矿山选厂设备维修计划智能预测系统[J].世界有色金属,2025,(2):41-43,3.

世界有色金属

1002-5065

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