铜业工程Issue(2)：31-37,7.DOI:10.3969/j.issn.1009-3842.2024.02.005
基于大数据技术的皮带预警系统设计
Design of Belt Warning System Based on Big Data Technology
摘要
Abstract
As an important transportation equipment in concentrator,the performance of belt conveyor directly affects the production ef-ficiency and the cost of mineral processing.Previously,the staff needed on-site inspection to find abnormal failures of the belt conveyor,resulting in unavoidable system downtime.In this paper,the big data technology is used to summarize and analyze the belt current,and a set of intelligent belt early warning system is designed and developed,which can send out alarms timely,accurately and effectively,and realize the correction of the belt abnormal state in advance.The results show that after the early warning system is put into use,the average fault diagnosis time is shortened from 60 min to 5 min,the number of system shutdowns is reduced and the production efficien-cy of the concentrator is improved.关键词
皮带运输机/大数据技术/预警系统/诊断时间Key words
belt conveyor/big data technology/early warning system/diagnosis time分类
矿业与冶金引用本文复制引用
佘曦超,徐小贤,张志斌,董红忠,司东亚,胡恒欣,金小骞,朱毅..基于大数据技术的皮带预警系统设计[J].铜业工程,2024,(2):31-37,7.基金项目
江西省新一代宽带无线移动通信网国家科技重大专项(20203ABC03W5)资助 （20203ABC03W5）
