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Data center refrigeration system based on artificial intelligence

A data center cooling and artificial intelligence technology, applied in the computer field, can solve the problems of high energy consumption and high PUE value

Active Publication Date: 2021-05-18
中国移动通信集团甘肃有限公司 +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, in order to maintain the normal operation of the server, the cooling function for the server usually consumes a lot of energy, which leads to a PUE value higher than 1, or even 2

Method used

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  • Data center refrigeration system based on artificial intelligence
  • Data center refrigeration system based on artificial intelligence
  • Data center refrigeration system based on artificial intelligence

Examples

Experimental program
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Effect test

Embodiment 1

[0041] This embodiment provides an artificial intelligence-based data center cooling method, which can reduce the resource consumption of the cooling function to a certain extent, reduce the PUE value as a whole, and improve the energy efficiency of the data center. The specific flow chart of this method is as follows: figure 1 shown, including:

[0042] Step 102: When the cabinet is in a preset cooling period, collect indoor and outdoor environmental data of the data center, and hardware parameters and power consumption data of servers in the cabinet.

[0043] In order to meet its own business needs, multiple sets of cabinets can be set up in the data center, and there are usually multiple servers in each set of cabinets. For example figure 2 As shown, it is a schematic diagram of a data center. In the figure, there can be multiple sets of cabinets, such as rack A, rack B, and rack C. There can be multiple servers in each set of racks. For example, there can be 7 servers i...

Embodiment 2

[0083] Based on the same idea, Embodiment 2 of the present invention also provides an artificial intelligence-based data center cooling system, which can reduce resource consumption of cooling functions to a certain extent, reduce PUE value as a whole, and improve energy efficiency of the data center. The structure diagram of the system is shown in Figure 5 As shown, it includes: a data acquisition unit 202, a cabinet temperature determination unit 204, a cooling mode determination unit 206, and a cooling execution unit 208, wherein,

[0084] The data collection unit 202 can be used to collect indoor and outdoor environmental data of the data center, hardware parameters and power consumption data of servers in the cabinet when the cabinet is in a preset cooling period, wherein the cooling period is collected according to the history of servers in the cabinet Power consumption data and historical temperature data are pre-determined;

[0085] The cabinet temperature determinat...

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Abstract

The invention discloses a data center refrigeration method and system based on artificial intelligence, and the method comprises the steps: collecting indoor and outdoor environment data of a data center, and hardware parameters and power consumption data of a server in a cabinet when the cabinet is in a preset refrigeration time period, wherein the refrigeration time period is pre-determined according to historical power consumption data and historical temperature data of a server in the cabinet; based on an artificial intelligence model, determining the temperature in the cabinet according to the hardware parameters and the power consumption data; based on an artificial intelligence model, according to the indoor and outdoor environment data, the temperature in the cabinet and the refrigeration time period, determining a refrigeration mode containing refrigeration water temperature; and controlling the air conditioner to refrigerate the interior of the cabinet within the refrigeration time period according to the determined refrigeration water temperature.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an artificial intelligence-based data center refrigeration and system. Background technique [0002] With the development of various businesses, the scale of data centers has been continuously expanded. For example, major e-commerce companies and major banks will build and expand huge data centers to meet their own business needs. However, during the operation of the data center, in addition to the resources consumed by the servers used to process data, supporting facilities such as cooling and lighting to support the operation of the data center also consume a large amount of energy. [0003] Currently, the indicators used to evaluate the energy efficiency of data centers can include PUE (Power Usage Effectiveness), which can be the ratio of all energy consumed by the data center to the energy used by IT loads. The ideal state is that all energy is used for IT loads. However,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H05K7/20
CPCH05K7/20836H05K7/20736H05K7/20781
Inventor 包静牛琳张瑜徐忠宇罗泽民杨万辉
Owner 中国移动通信集团甘肃有限公司
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