摘要
围绕钢铁企业设备管理工作,阐述了设备管理的难题,探讨了实现管理技术突破的措施,详述了数字孪生技术用于预测性维护的技术手段,分析了实施设备智能运维系统后取得的效果,为同行业提供参考。
This paper expounds the difficulties in equipment management in steel enterprises,explores measures to achieve technological breakthroughs in management,elaborates on the technical means of using digital twin technology for predictive maintenance,and analyzes the results achieved after implementing an intelligent operation and maintenance system of equipment,providing reference for the same industry.
作者
周培明
尹冬航
邹勇
江源泽
张艳
黄灶兴
Zhou Peiming;Yin Donghang;Zou Yong;Jiang Yuanze;Zhang Yan;Huang Zaoxing(Hunan Valin Xiangtan Iron and Steel Co.,Ltd.,Xiangtan 411100,Hunan China;Hunan Valin V-Cloud Digital Intelligence Technology Co.,Ltd.,Xiangtan 411100,Hunan China;Hanwei Goyo(Guangzhou)Mechanical Equipment Co.,Ltd.,Guangzhou 510000,Guangdong China;Rizhao Port Loading and Unloading Co.,Ltd.,Rizhao 276800,Shandong,China)
出处
《冶金设备管理与维修》
2024年第3期41-43,共3页
Metallurgical Equipment Management and Maintenance
关键词
钢铁企业
设备预测性维护
数字化转型
智能化
数字孪生技术
steel enterprises
predictive maintenance of equipment
digital transformation
intellectualization
digital twin technology
