摘要
设备高质量运行是钢铁企业提升产品质量和企业竞争力的基本要素,基于大数据分析的可视化智能运维系统的应用,有效解决了钢铁企业设备管理的共性问题,实现了关键设备的全生命周期管理,提升了企业设备管理水平。
The high-quality operation of equipment is the basic factor of improving product quality and competitiveness of iron and steel enterprises. The application of visual intelligent operation and maintenance system based on big data analysis effectively solves the common problems of equipment management in iron and steel enterprises. The life cycle management of key equipment is realized and the level of equipment management in enterprise is improved.
作者
王晓明
谢允澄
WANG Xiaoming;XIE Yuncheng(Shandong Metallurgical Research Institute Co., Ltd., Jinan 250014, China;Jinan Jigang Human Resources Service Co., Ltd., Jinan 250101, China)
出处
《山东冶金》
CAS
2019年第4期53-54,57,共3页
Shandong Metallurgy
关键词
钢铁企业
大数据分析
可视化
智能运维系统
全生命周期管理
steel enterprise
big data analysis
visualization
intelligent operation and maintenance system
life cycle management