智能选厂小型数据中心设计研究与应用

目前,我国各选矿厂均面临关键数据存储和利用问题,采取以往简单的磁盘和服务存储的方法,不仅不能有效保障数据的存储安全,而且无法实现数据的集中管理和应用,这对企业数据业务发展是极大的障碍。设计一套统一化数据中心框架并搭建,实现服务器、防火墙、交换机、共享存储科学搭配,多台服务器虚拟化部署与管理,基于Hadoop集群的高可用数据仓储搭建,对数据进行统一存储、管理与应用。使企业为用户提供优质高效服务、降低企业成本、提高企业经济效益、拓宽企业信息系统的范围,为企业带来更大的竞争力。通过在某金矿选矿厂的智能选厂项目的具体应用,证明系统的可行性与高效性。

Design and application of small data center in intelligent concentrator

At present, all mineral processing plants in China are facing the problem of data storage and utilization. Adopting the simple disk and service storage methods in the past can not only effectively ensure the security of data storage, but also cannot achieve the centralized management and application of data. Development is a huge obstacle. Design and set up a unified data center framework to realize the scientific coordination of servers, firewalls, switches, and shared storage, virtualize deployment and management of multiple servers, and build a highly available data warehouse based on Hadoop clusters to uniformly store, manage, and manage data application. Enable enterprises to provide users with high-quality and efficient services, reduce corporate costs, improve corporate economic benefits, broaden the scope of corporate information systems, and bring greater competitiveness to enterprises. The specific application of the intelligent dressing project in a gold ore dressing plant has proved the feasibility and efficiency of the system.