Design of visual monitoring system for power consumption of equipment in data center based on digital twins
To improve the power consumption monitoring effect of data center equipment and the real-time performance of the visual monitoring system,this article proposes a design of a data center equipment power consumption visual monitoring system based on digital twins.Firstly,based on digital twin technology,complete the design of system architecture and functions.Secondly,construct a source data matrix,calculate the Euclidean distance of the matrix,and use the K-means clustering algorithm to achieve clustering processing of device power consumption.Finally,using digital twin technology to map the real physical workshop to the virtual workshop,the concept of twin entity is introduced to express the components of the data center equipment,fuse the fault data of the data center equipment,construct a network neural model to train sample data,generate a new fault diagnosis model,and achieve visual monitoring of power consumption of data center equipment based on digital twin.The results show that the proposed method has good visualization effect and equipment power consumption monitoring results in the data center equipment power consumption monitoring system,which can provide reliable technical support for data management.
digital twinsdata center data roomvisual monitoringsystem architecturevirtual model
NETL
NSTL
万方数据
