A data center cooling system and its control method

Abstract

The present invention belongs to the technical field of data processing, and relates to a data center cooling system and a control method. The cooling system of the present invention cools the data center by combining an air-cooling component and a water-cooling component, connects multiple subsystems of the entire cooling system, and connects the multiple subsystems into a cooling system network through cooling pipelines, valves, and pumps. Moreover, each cooling system in this network can work independently or collaboratively, and network management is carried out for the cooling subsystems, greatly improving the working flexibility and cooling efficiency of the cooling system; through the control method of the present invention, the present invention can reallocate the cooling subsystems with relatively high real-time working efficiency, allocate the cooling systems with relatively high working efficiency to form a new working system, and let the heat flow be dissipated and cooled by these cooling subsystems with relatively high working efficiency, improving the overall working efficiency of the cooling system and reducing the energy consumption of the cooling work.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing, and particularly relates to a data center cooling system and a control method thereof. Background Art

[0002] A data center is a specific network of devices for global collaboration. It uses the existing Internet as a transmission channel, utilizes the basic supporting resources of the data center, and provides services for various users through self-use or external leasing. As the number of interconnected devices in the fields of life and industry increases, a large amount of data in the fields of life and industry will be generated, and most of this huge amount of data flows to the data centers in each city. With the rapid development of the Internet and big data in China, the construction of data centers in China is also developing rapidly, and multiple data centers have been established in various places.

[0003] As an important data node at the regional level, while the data center facilitates user use, it also brings huge energy consumption problems. The data center generates a large amount of heat during operation and requires a perfect cooling system to keep the data center at an appropriate working temperature, and the cooling system consumes a huge amount of energy during operation. At the same time, for large data centers, they generally have multiple cooling systems, and each cooling system includes a large number of subsystems and sub-systems. The cooling work of the entire data center ultimately depends on each sub-cooling system located at the end of the cooling system. However, the working states and real-time cooling efficiencies of these numerous sub-cooling systems are different. Some have a relatively high working efficiency at that time, and some have a relatively low working efficiency at that time. If these sub-cooling systems with different working efficiencies are not distinguished and redistributed during use, it will lead to low working efficiency of the entire cooling system, which is not conducive to energy conservation, emission reduction, and carbon emission reduction. Therefore, it is necessary to develop a control method for the cooling system to minimize the energy consumption of the cooling system while obtaining a better cooling effect.

[0004] Chinese Patent CN109542206A discloses a low - energy - consumption data center, which includes a cloud computing server area, a cold data storage area, and a hot data storage area. The cloud computing service area contains multiple cloud computing servers. The cold data storage area contains multiple cold - storage NAS devices and a cold data management server. The hot data storage area contains multiple hot - storage NAS devices and a hot data management server. Each area contains an independent aggregation switch. The low - energy - consumption data center uses a variable refrigerant flow central air - conditioning multi - connected system for cooling, and can dynamically adjust the cooling capacity of each area according to the actual cooling load. The low - energy - consumption data center has the characteristics of simple system structure, complete functions, balanced cold and heat storage, high scalability, high reliability, etc., can realize high - efficiency cloud computing and cold - and - heat storage functions, and at the same time has the characteristics of short construction period, low investment cost, and less energy consumption compared with traditional data centers.

[0005] Chinese Patent CN102841579A discloses a server heat dissipation control system, which is applied to a monitoring host. The monitoring host is communicatively connected to the servers of a data center through a network. The system includes: a temperature monitoring module for real - time monitoring of the temperature of each server in the data center; a region determination module for determining the heat - concentrated region in the data center according to the temperature of each server and determining the number of servers in the heat - concentrated region; and a virtual machine exchange module for, according to the number of servers in the heat - concentrated region, exchanging the positions of the virtual machines installed on one or more servers in this region with the virtual machines installed on one or more servers with lower temperatures in the data center, so that the servers with higher temperatures in the data center are not adjacent to each other physically. The present invention also provides a server heat dissipation control method. The present invention can reduce the adverse effects brought by heat conduction between servers.

[0006] Chinese Patent CN108881391A discloses a distributed computing and storage heating device, which includes a distributed computing module or a distributed storage module, a communication module, and a heat exchange module. The communication mode realizes data communication and interaction between the system of the present invention and a cloud platform or other blockchain nodes; the heat exchange module uses the heat dissipation of computing or storage chips to heat air or heat cooling water, and uses the heat generated by the computing and storage modules for room heating or domestic and industrial hot water.

[0007] Chinese Patent CN102299964A discloses a data redeployment method applied to an energy-saving cluster system. The huge energy consumption of the cluster system and the resulting environmental problems have attracted wide attention. Currently, the energy-saving measures of the cluster system mainly rely on natural environment and hardware equipment improvement, etc., without considering the fine-grained energy-saving technology at the data deployment level in the system, which is obviously unreasonable and has great limitations. The method of the present invention is divided into three aspects: data redeployment, node aggregation, and performance enhancement. The main idea is to aggregate data, tasks, and nodes according to the data access rules when the environment and equipment conditions permit, so as to achieve the wave-like operation of the server, and the refrigeration equipment working in cooperation with the server can accurately and specifically control the environmental temperature.

[0008] Although the above technical solutions all mention the regulation of the cooling system of the data center, their technical solutions for the deployment of the cooling system are still not scientific enough and there is still room for further improvement. Therefore, the inventor of the present invention proposed the technical solution of the present invention based on actual work experience. Summary of the Invention

[0009] To solve the above technical problems, the present invention provides a data center cooling system and its control method. By using the cooling system and control method of the present invention, the low-cost construction of the cooling system can be realized, multiple subsystems of the entire cooling system are connected, and the cooling subsystems are networked and managed, greatly improving the working flexibility and cooling efficiency of the cooling system. Through this control method, the present invention can reallocate the cooling subsystems with higher real-time working efficiency, and deploy the cooling systems with higher working efficiency to form a new working system, and let the heat flow be dissipated and cooled by these cooling subsystems with higher working efficiency, improving the overall working efficiency of the cooling system and reducing the energy consumption of the cooling work.

[0010] To achieve the above object, the technical solution of the present invention is as follows:

[0011] A data center cooling system includes a liquid cooling component and an air cooling component. The liquid cooling component includes a coolant circulation system and a liquid cooling plate. The air cooling component includes a cooling air duct and an air circulation mechanism. The liquid cooling plate is connected to the first cooling demand part and is located in the coolant circulation system. The second cooling demand part is arranged in the cooling air duct, and the air circulation mechanism is used to generate air circulation in the cooling air duct. The liquid cooling component further includes a heat dissipation system.

[0012] Further, the heat dissipation system is an evaporation heat dissipation system or a condensation heat dissipation system, and the heat dissipation system is configured with a heat dissipation component, and the heat dissipation component includes a heat dissipation fan.

[0013] Further, the first cooling demand part has a greater calorific value than the second cooling demand part.

[0014] Further, the evaporation heat dissipation system includes an evaporation tower; the condensation heat dissipation system includes a condensation tower.

[0015] Further, the coolant circulation system includes a coolant storage tank, a cooling pump, and a coolant delivery pipeline.

[0016] The present invention also provides a control method for a data center cooling system, including the following steps:

[0017] S1. Initialize the initial values of variables, where the variables include: the total number of cooling systems L, the i-th cooling system i, the data center cooling system unit W = {W 1 , W 2 ... W q}}, the data center cooling system sub-unit W j (j = 1, 2,..q), the time Qj(t) required for cooling in the t-time sub-unit (j = 1, 2,..q), the remaining time T(t) from time t until cooling is completed (j = 1, 2,..q), the cooling work efficiency N j (t) in the cooling work efficiency corresponding to the t-time sub-unit j, the work efficiency V ij (t) of the cooling system i in the sub-unit j at time t, the operating state S ij (t) of the cooling system i when performing the cooling work of the sub-unit j at time t, and the cooling system working state correction coefficient m i ;

[0018] S2. Calculate the work efficiency X of the sub-unit with the maximum cooling capacity and the work efficiency Y of the sub-unit with the minimum cooling capacity at time t, and screen out the work efficiency Y of the cooling system with the lowest work efficiency in the sub-unit with the minimum cooling capacity min ; If Y min is less than Y, it means that the work efficiency of this cooling system is less than the average work efficiency of the sub-unit with the minimum cooling capacity, and maintain the working position of this cooling unit; if Y min is greater than Y, it means that the work efficiency of this cooling system is greater than the average work efficiency of the sub-unit with the minimum cooling capacity, then incorporate this cooling unit into the sub-unit with the maximum cooling capacity;

[0019] S3. Calculate the real-time cooling work efficiency of each cooling system sub-unit, and calculate the work efficiency of each cooling system for the cooling work of its affiliated sub-unit during this time period;

[0020] S4. Repeat steps S2 and S3, and dynamically adjust the allocation of the cooling systems according to the working efficiency of the cooling systems in each sub-unit until all the cooling systems with higher working efficiency are adjusted to the sub-unit with the maximum cooling capacity at time t;

[0021] S5. Deploy the sub-unit with the maximum cooling capacity at time t to cool down the data center.

[0022] Furthermore, the working efficiency of the cooling systems in each sub-unit at time t in step S2 is calculated by the following formula:

[0023]

[0024] Where:

[0025] T j (t + 1)=T j (t)-δ.

[0026] Furthermore, the real-time cooling working efficiency of each cooling system sub-unit in step S3 is calculated by the following formula:

[0027]

[0028] Where k is the k time when the cooling system works.

[0029] Furthermore, several of the said cooling systems form a data center cooling system sub-unit, and several data center cooling system sub-units form a data center cooling system unit

[0030] The present invention has the following beneficial effects:

[0031] (1). The cooling system of the present invention cools the data center by combining an air-cooling component and a water-cooling component, combining the high efficiency of the water-cooling component and the low energy consumption and low cost of the air-cooling component, realizing the low-cost construction of the cooling system; connecting multiple subsystems of the entire cooling system, connecting multiple subsystems into a cooling system network through cooling pipelines, valves and pumps, and each cooling system in this network can work independently or cooperatively, networking and managing the cooling subsystems, greatly improving the working flexibility and cooling working efficiency of the cooling system.

[0032] (2). The present invention also provides a control method for the cooling system. Through this control method, the present invention can re-allocate the cooling subsystems with higher real-time working efficiency, deploy the cooling systems with higher working efficiency to form a new working system, and dissipate heat through these cooling subsystems with higher working efficiency, improving the overall working efficiency of the cooling system and reducing the energy consumption of the cooling work. Brief Description of the Drawings

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0034] Figure 1 It is a schematic flowchart of the control method for the cooling system of the data center of the present invention. Detailed Embodiments

[0035] In order to make the technical means, creative features, achieved purposes and functions of the present invention easy to understand, the present invention will be further described below with reference to specific illustrations.

[0036] The present invention provides a data center cooling system and its control method. By using the cooling system and control method of the present invention, a low-cost construction of the cooling system can be achieved. Multiple subsystems of the entire cooling system are connected, and the cooling subsystems are networked and managed, greatly improving the working flexibility and cooling efficiency of the cooling system. Through this control method, the present invention can reallocate the cooling subsystems with relatively high real-time working efficiency, and allocate the cooling systems with relatively high working efficiency to form a new working system, and let the heat flow be dissipated and cooled by these cooling subsystems with relatively high working efficiency, improving the overall working efficiency of the cooling system and reducing the energy consumption of the cooling work.

[0037] Specifically, the data center cooling system of the present invention includes a liquid cooling component and an air cooling component. The liquid cooling component includes a coolant circulation system and a liquid cooling plate. The air cooling component includes a cooling air duct and an air circulation mechanism. The liquid cooling plate is connected to the first cooling demand part and is located in the coolant circulation system. The second cooling demand part is arranged in the cooling air duct, and the air circulation mechanism is used to generate air circulation in the cooling air duct. The liquid cooling component further includes a heat dissipation system.

[0038] The cooling system of the present invention cools the data center by combining an air-cooling component and a water-cooling component, combining the high cooling efficiency of the water-cooling component and the low energy consumption and low cost of the air-cooling component, and realizing the low-cost construction of the cooling system. At the same time, the present invention adopts a three-level construction form of a sub-cooling system - a sub-cooling system - a data center cooling system, forming a cooling system network composed of multiple sub-cooling systems. Each sub-cooling system in the entire cooling system network is composed of components such as a coolant pipeline, an electronic valve, and a cooling pump to form a network. Each sub-cooling system in the network is interconnected and can perform cooling work alone or in cooperation, with high working flexibility. According to this network-type cooling system of the present invention, the sub-cooling systems at various positions in the network can be allocated as needed to perform targeted regional cooling work, or a certain number of sub-cooling systems can be allocated to participate in the cooling task simultaneously to cope with sudden or heat surge situations, with great flexibility and pertinence.

[0039] The heat dissipation system of the present invention is an evaporative heat dissipation system or a condensation heat dissipation system. The heat dissipation system is configured with a heat dissipation component, and the heat dissipation component includes a heat dissipation fan. The evaporative heat dissipation system includes an evaporation tower; the condensation heat dissipation system includes a condensation tower. The coolant circulation system includes a coolant storage tank, a cooling pump, and a coolant delivery pipeline.

[0040] The heat dissipation system in the cooling system of the present invention is an evaporative heat dissipation system or a condensation heat dissipation system. The coolant circulation system includes a coolant storage tank, a cooling pump, and a coolant delivery pipeline. A cooling system network is formed by connecting several sub-cooling systems through pipelines, facilitating the allocation and management of each sub-cooling system.

[0041] The first cooling demand part of the present invention has a greater calorific value than the second cooling demand part. That is, a water-cooling system with higher heat dissipation efficiency is used to deal with components with high calorific value, and an air-cooling system with relatively low cost is used to deal with components with lower calorific value, achieving an organic combination of cooling efficiency and economic benefits.

[0042] In order to further improve the working efficiency of the cooling system network, the present invention conducts network management on the cooling system. Several of the cooling systems constitute a data center cooling system sub-unit, and several data center cooling system sub-units constitute a data center cooling system unit.

[0043] The present invention also provides a control method for a data center cooling system. Specifically, the control method includes the following steps:

[0044] S1. Initialize the initial values of variables. The variables include:

[0045] The i-th cooling system i;

[0046] The data center cooling system unit W = {W1 , W 2 ...W q};

[0047] Data center cooling system sub-unit W j (j = 1, 2,..q);

[0048] The time Qj(t) (j = 1, 2,..q) required for cooling in the sub-unit at time t;

[0049] The remaining time T(t) (j = 1, 2,..q) until cooling is completed starting from time t;

[0050] The cooling work efficiency N j (t) (j = 1, 2,..q);

[0051] The work efficiency V ij (t);

[0052] The operating state S of the cooling system i when performing the cooling work of sub-unit j at time t ij (t);

[0053] Cooling system operating state correction factor m i .

[0054] S2. Calculate the work efficiency X of the sub-unit with the maximum cooling capacity and the work efficiency Y of the sub-unit with the minimum cooling capacity at time t, and screen out the work efficiency Y of the cooling system with the lowest work efficiency among the sub-units with the minimum cooling capacity; if Y min ; if Y min is less than Y, it means that the work efficiency of this cooling system is less than the average work efficiency of the sub-unit with the minimum cooling capacity, and maintain the working position of this cooling unit; if Y min is greater than Y, it means that the work efficiency of this cooling system is greater than the average work efficiency of the sub-unit with the minimum cooling capacity, then incorporate this cooling unit into the sub-unit with the maximum cooling capacity;

[0055] S3. Calculate the real-time cooling work efficiency of each cooling system sub-unit, and calculate the work efficiency of each cooling system for the cooling work of its affiliated sub-unit during this time period;

[0056] S4. Repeat steps S2 and S3, and dynamically adjust the allocation of the cooling systems according to the work efficiency of the cooling systems in each sub-unit until all the cooling systems with higher work efficiency are adjusted to the sub-unit with the maximum cooling capacity at time t; S5. Deploy the sub-unit with the maximum cooling capacity at time t to cool down the data center.

[0057] In step S2, the working efficiency of the cooling system in each sub-unit at time t is calculated by the following formula:

[0058]

[0059] Where:

[0060] T j (t + 1) = T j (t) - δ.

[0061] In step S3, the real-time cooling working efficiency of each sub-unit of the cooling system is calculated by the following formula:

[0062] Where k is the k time when the cooling system works.

[0063] Through the above control method, the present invention screens out several sub-cooling systems with higher working efficiency in the cooling system network, and performs network management on these sub-cooling systems, that is, selects the sub-cooling systems with higher current working efficiency in the entire cooling system network to reorganize the network, forming a new high-efficiency cooling system network, improving the real-time heat dissipation efficiency of the cooling system. It can not only centrally utilize the cooling efficiency, but also improve the cooling system's ability to handle sudden heat dissipation and heat surge in the data center, improving the working efficiency and usage flexibility of the cooling system.

[0064] In addition, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, it implements the cooling system control method described above, or cools using the data center cooling system described above.

[0065] The electronic device can be presented in the form of a general computing device. For example, it can be a server device. The components of the electronic device may include, but are not limited to: at least one processor, at least one memory, and a bus connecting different system components (including the memory and the processor). The bus includes a data bus, an address bus, and a control bus. The memory may include volatile memory, such as random access memory (RAM) and / or cache memory, and may further include read-only memory (ROM). The memory may also include program tools with a set (at least one) of program modules. Such program modules include, but are not limited to: an operating system, one or more application programs, other program modules, and program data. Each of these examples or some combination thereof may include the implementation of a network environment. The processor executes various functional applications and data transmissions by running the computer program stored in the memory.

[0066] In addition, the electronic device can also communicate with one or more external devices (such as a keyboard, a pointing device, etc.). Such communication can be carried out through an input / output (I / O) interface. Moreover, the electronic device can also communicate with one or more networks (such as a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) through a network adapter. The network adapter communicates with other modules of the electronic device through a bus. It should be understood that other hardware and / or software modules can be used in combination with the electronic device, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (Redundant Array of Independent Disks) systems, tape drives, and data backup storage systems, etc.

[0067] Although several units / modules or sub-units / modules of the electronic device are mentioned in the above detailed description, this division is merely exemplary and not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more units / modules described above can be embodied in one unit / module. Conversely, the features and functions of one unit / module described above can be further divided and embodied by multiple units / modules.

[0068] The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the data transmission method described above, or uses the data transmission system described above to perform data transmission.

[0069] Among them, the more specific forms that the readable storage medium can adopt can include but not limited to: portable disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0070] The present invention can also be implemented in the form of a program product, which includes program code. When the program product runs on a terminal device, the program code is used to make the terminal device execute the cooling system control method described above, or use the data center cooling system described above for cooling.

[0071] Among them, the program code for implementing the present invention can be written in any combination of one or more programming languages. The program code can be executed entirely on the user device, partially on the user device, executed as an independent software package, partially on the user device and partially on a remote device, or entirely on a remote device.

[0072] The cooling system of the present invention cools the data center by combining an air-cooling component and a water-cooling component, which combines the high efficiency of the water-cooling component and the low energy consumption and cost of the air-cooling component to achieve the low-cost construction of the cooling system; connects multiple subsystems of the entire cooling system, and connects multiple subsystems into a cooling system network through cooling pipelines, valves and pumps, and each cooling system in this network can work independently or cooperatively to manage the networking of the cooling subsystems, greatly improving the working flexibility and cooling efficiency of the cooling system;

[0073] The present invention provides a control method for a cooling system. Through this control method, the present invention can reallocate the cooling subsystems with relatively high real-time working efficiency, allocate the cooling systems with relatively high working efficiency to form a new working system, and let the heat flow be dissipated and cooled by these subsystems with relatively high cooling efficiency, so as to improve the overall working efficiency of the cooling system and reduce the energy consumption of the cooling work.

[0074] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A control method for a data center cooling system, the data center cooling system including a liquid cooling component and an air cooling component, characterized in that, the liquid cooling component includes a coolant circulation system and a liquid cooling plate, and the air cooling component includes a cooling air duct and an air circulation mechanism; the liquid cooling plate is connected to a first cooling demand part, and the liquid cooling plate is located in the coolant circulation system; a second cooling demand part is arranged in the cooling air duct, and the air circulation mechanism is used to generate an air circulation in the cooling air duct; the liquid cooling component further includes a heat dissipation system; characterized in that the control method includes the following steps: S1. Initialize the initial values of variables, where the variables include: the total number of cooling systems K, the i-th cooling system i, the data center cooling system unit W = {W 1 , W 2 ... W q}, the sub-unit of the data center cooling system W j (j = 1, 2,..q), the time Q j (t) required for cooling in the t-time sub-unit (j = 1, 2,..q), the remaining time T j (t) from the t-time until the cooling is completed (j = 1, 2,..q), the cooling work efficiency N j (t) at the t-time sub-unit j (j = 1, 2,..q), the work efficiency V ij (t) of the i-th cooling system in the j-th sub-unit at the t-time, the operating state S ij (t) of the cooling system when performing the cooling work of the j-th sub-unit at the t-time, and the cooling system working state correction coefficient mi; S2. Calculate the working efficiency X of the sub-unit with the maximum cooling capacity and the working efficiency Y of the sub-unit with the minimum cooling capacity at time t, and screen out the working efficiency Y of the cooling system with the lowest working efficiency among the sub-units with the minimum cooling capacity. min ; If Y min is less than Y, it means that the working efficiency of this cooling system is less than the average working efficiency of the sub-units with the minimum cooling capacity, and maintain the working position of this cooling system; If Y min is greater than Y, it means that the working efficiency of this cooling system is greater than the average working efficiency of the sub-units with the minimum cooling capacity, then incorporate this cooling system into the sub-unit with the maximum cooling capacity. S3. Calculate the real-time cooling working efficiency of each cooling system sub-unit, and calculate the working efficiency of each cooling system for the cooling work of its affiliated sub-unit during this time period; S4. Repeat steps S2 and S3, and dynamically adjust the allocation of the cooling systems according to the working efficiency of the cooling systems in each sub-unit until all the cooling systems with higher working efficiency are adjusted to the sub-unit with the maximum cooling capacity at time t; S5. Allocate the sub-unit with the maximum cooling capacity at time t to perform the cooling work for the data center; In step S2, the working efficiency of the cooling systems in each sub-unit at time t is calculated by the following formula: Wherein: T j (t + 1)=T j (t)-δ。 2. The control method according to claim 1, characterized in that, the heat dissipation system is an evaporation heat dissipation system or a condensation heat dissipation system, the heat dissipation system is configured with a heat dissipation component, and the heat dissipation component includes a heat dissipation fan.

3. The control method according to claim 2, characterized in that, the first cooling demand part has a greater heat generation amount than the second cooling demand part.

4. The control method according to claim 2, characterized in that, the evaporation heat dissipation system includes an evaporation tower; the condensation heat dissipation system includes a condensation tower.

5. The control method according to claim 4, characterized in that, the coolant circulation system includes a coolant storage tank, a cooling pump and a coolant delivery pipeline.

6. The control method according to claim 5, characterized in that, in step S3, the real-time cooling working efficiency of each cooling system sub-unit is calculated by the following formula: where k is the k time when the cooling system works.

7. The control method according to claim 6, characterized in that, several of the cooling systems form a data center cooling system sub-unit, and several data center cooling system sub-units form a data center cooling system unit.

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