Data center cooling load distribution determination method and system based on information flow characteristics

A data center and cooling load technology, applied in neural learning methods, electrical digital data processing, digital data processing components, etc. The effect of optimization of consumption, reduction of operating costs and convenient operation

Pending Publication Date: 2022-05-06
CHINA ELECTRIC POWER RES INST +2
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, although these methods play a certain role in the optimization of cooling energy consumption and improve the efficien

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data center cooling load distribution determination method and system based on information flow characteristics
  • Data center cooling load distribution determination method and system based on information flow characteristics
  • Data center cooling load distribution determination method and system based on information flow characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] The method for determining the cooling load distribution of data centers based on information flow characteristics provided by the present invention has a schematic flow chart as shown in figure 1 shown, including:

[0055] Step 1: Obtain the information of each server when performing tasks, and calculate the calorific value of each server based on the server power consumption model;

[0056] Step 2: Obtain the temperature parameter value of each server when performing tasks, and calculate the cooling load of each server based on the temperature parameter value, the calorific value of each server and the preset thermal physical property parameters of the server;

[0057] Wherein, the information when the server executes the task includes the server hardware parameters, the information of the executed task and the running status when the task is executed.

[0058]In order to solve the problems of frequent hotspots, uneven cooling, and insufficient utilization of cooling...

Embodiment 2

[0076] Based on the same inventive concept, the present invention also provides a data center cooling load distribution determination system based on information flow characteristics, such as figure 2 As shown, including: heating value calculation module and cooling load calculation module;

[0077] The calorific value calculation module is used to obtain information when each server performs a task, and calculate the calorific value of each server based on the server power consumption model;

[0078] The cooling load calculation module is used to obtain the temperature parameter value of each server when performing tasks, and calculate the cooling load of each server based on the temperature parameter value, the calorific value of each server and the preset thermal physical property parameters of the server;

[0079] Wherein, the information when the server executes the task includes the server hardware parameters, the information of the executed task and the running status ...

Embodiment 3

[0093] This embodiment introduces the method for determining the cooling load distribution of a data center based on information flow characteristics and the specific implementation process of the system.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a data center cold load distribution determination method and system based on information flow characteristics, and the method comprises the steps: obtaining information when each server executes a task, and calculating the heating value of each server based on a server power consumption model; obtaining a temperature parameter value when each server executes the task, and calculating a cold load of each server based on the temperature parameter value, the heating value of each server and a preset server thermophysical property parameter; the information when the server executes the task comprises a server hardware parameter, information of the executed task and a running state when the task is executed; according to the method and the system provided by the invention, starting from the source of cold load generation, the distribution trend of the task is obtained, the cold load of each server is calculated by utilizing the server power consumption model, and a regulation and control basis is provided for implementation of an on-demand cold supply scheme of the data center; and additional sensors do not need to be installed, and the cooling load of each server can be calculated only by using the existing software and hardware of the data center.

Description

technical field [0001] The invention belongs to the field of HVAC, and in particular relates to a method and system for determining cooling load distribution of a data center based on information flow characteristics. Background technique [0002] With the rapid development of 5G technology, cloud computing, and the Internet of Things, the construction and development of data centers are also getting faster and faster. The increase of servers with high heat flux density puts greater pressure on the heat dissipation of the computer room. At present, many scholars are committed to improving the cooling efficiency of data centers to reduce energy consumption in data centers. At present, the improvement of refrigeration efficiency mainly focuses on three aspects, namely, the optimization of the refrigeration system, the optimization of the airflow organization and the improvement of the cooling form. Compared with the other two ways that may change the structure of the refrige...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F1/20G06F9/48G06F9/50G06N3/04G06N3/08
CPCG06F1/206G06F9/4881G06F9/505G06N3/04G06N3/08
Inventor 陈洪银李德智陈天恒钟鸣李野王松岑丁一覃剑赵晨阳何桂雄黄伟郭毅唐艳梅
Owner CHINA ELECTRIC POWER RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap