Cooling capacity distribution unit group control unit control method and system and readable storage medium

Abstract

The invention discloses a control method and system for a group control unit of a cooling capacity distribution unit and a readable storage medium. According to the method, key parameters such as the operation number of the group control unit and the rotating speed of a circulating pump can be automatically adjusted according to different operation requirements of a cooled system; adjustment and fault position compensation of the cooling capacity distribution unit are automatically achieved according to a built-in program. Through the method, on one hand, the group control stability and reliability of the cooling capacity distribution units can be effectively enhanced, and on the other hand, the combination of the cooling capacity distribution units in the method is flexible and changeable, and the number matching requirements of the cooling capacity distribution units under different requirements of a cooled system can be met. And the number of operating units and the rotating speed of the circulating pump are automatically adjusted, so that optimal power operation under different load requirements is realized, the electric energy loss is reduced, and the PUE of the whole system is reduced.

Description

Technical Field

[0001] The present application belongs to the technical field of data center CDU, and in particular relates to a control method, system and readable storage medium for a group control unit of a cooling distribution unit. Background Art

[0002] With the rapid development of artificial intelligence, data centers have become essential facilities. As part of a data center's liquid cooling system, cooling distribution units (CDUs) play an essential role. Current CDUs often utilize an N+1 redundant configuration, with N units operating simultaneously and one serving as a backup. This approach is relatively simple and lacks flexibility to adapt to load fluctuations. When the load decreases, cooling capacity can only be reduced by simultaneously reducing the speed of multiple units. However, excessive speed reductions reduce the efficiency of the CDU's pumps, motors, and inverters, increasing overall energy consumption and ultimately impacting the data center's overall Power Usage Effectiveness (PUE).

[0003] Therefore, how to control multiple cooling distribution units to flexibly adapt to changes in data center load, improve the efficiency of cooling distribution units, and thus reduce the overall PUE is a difficult problem that needs to be solved urgently. Summary of the Invention

[0004] The purpose of this application is to overcome the problems of the prior art and disclose a control method, system and readable storage medium for a group control unit of a cooling distribution unit to solve the problems in the prior art of being unable to flexibly match load changes and the increased energy consumption caused by the reduced efficiency of the cooling distribution unit.

[0005] On the one hand, the purpose of this application is achieved through the following technical solutions:

[0006] A method for controlling a group control unit of a cooling capacity distribution unit, the method comprising:

[0007] S1: Mode selection, switches the cooling distribution unit group from stand-alone mode to group control mode;

[0008] S2: Host selection setting, select a cooling distribution unit in the cooling distribution unit group as the initial master machine to run the corresponding group control algorithm and output control signals;

[0009] S3: Priority setting, which sets the priority of each cooling distribution unit in the cooling distribution unit group to ensure that the remaining cooling distribution units can continue to operate when the initial master unit fails;

[0010] S4: Model establishment: constructing the energy consumption model of the cooling distribution unit based on the circulating water pump, including: flow model, power model and problem model;

[0011] The pump flow rate and speed are linearly positively correlated. In practice, they are affected by pipeline resistance and efficiency loss. The flow model relationship obtained by polynomial fitting is:

[0012] Q(n)=a*n 2 +b*n

[0013] Where Q is the pump flow rate, n is the pump speed, a and b are coefficients;

[0014] The pump power is related to the cube of the speed. In practice, it will be affected by motor efficiency and mechanical loss factors. The power model relationship obtained by polynomial fitting is:

[0015] P(n)=c*n 3 +d*n 2 +e*n

[0016] Where P is the pump power, n is the pump speed, c, d and e are coefficients;

[0017] The problem model is established based on the required flow and minimum power. The problem model expression is:

[0018] Q 需 ≥X*Q(n)

[0019] P 总 =X*P(n)

[0020] Among them, Q 需 is the required flow rate of the data center liquid cooling system, P 总 is the total power of the data center liquid cooling system, and X is the number of running water pumps;

[0021] S5: Speed calculation, based on the number of available pumps in the cooling capacity distribution unit group X max is the maximum limit of X, traversing from X=1 to X=X max , satisfying the formula: Q 需 ≥X*Q(n), the number of pumps X corresponds to the speed n;

[0022] S6: Power calculation, according to the number of pumps and their corresponding speeds (X, n) obtained in S5, substitute them into the problem model P 总 =X*P(n), thus obtaining the total power corresponding to the number of pumps and the corresponding speed combination when meeting the flow demand;

[0023] S7: Minimum power selection, compare the power obtained in S6, and select the minimum power P min Corresponding to X and n, the total power of the data center liquid cooling system is the optimal choice;

[0024] S8: Action execution. Based on the order of the cooling distribution units set in S3 and the number of running units X and the speed n corresponding to the minimum power in S7, the master control machine sends the signal to the corresponding cooling distribution unit according to the set order. Each cooling distribution unit performs the corresponding action after receiving the signal from the master control machine.

[0025] According to a preferred embodiment, the control method for the cooling capacity distribution unit group control unit further includes:

[0026] S9: Data collection, real-time collection and feedback of the actual power consumption P of each cooling distribution unit 实际 , actual water supply flow Q 实际 And the actual pump speed n 实际 , and transmit it to the host computer for record storage;

[0027] S10: Model optimization, actual power P 实际 The minimum power P calculated in S7 min Perform error calculation to obtain the power error P 误差 =P 实际 -P min , add the power error to the power model in S4, and get the optimized power model P(n)=c*n 3 +d*n 2 +e*n+P 误差 , and update the S4 mid-power model according to the latest model.

[0028] According to a preferred embodiment, the control method for the cooling capacity distribution unit group control unit further includes:

[0029] S11: Parameter update, if P in S10 误差 > If the deviation exceeds the set allowable range and exceeds the preset time interval, the power, flow and speed data stored and recorded in S9 are used to refit the parameters of the flow model and power model in S4, and the parameter update in the corresponding model expression is completed.

[0030] According to a preferred embodiment, in step S1, data is exchanged between the cooling distribution units via a preset communication network.

[0031] On the other hand, the present application also discloses:

[0032] A cooling capacity distribution unit group control system, the cooling capacity distribution unit group control system comprising a processor and a memory;

[0033] The memory is used to store computer programs or instructions, and the processor is used to execute the computer programs or instructions in the memory. When the computer program or instructions are executed, they are used to implement the aforementioned control method for the group control unit of the cooling capacity distribution unit.

[0034] On the other hand, the present application also discloses:

[0035] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program implements the aforementioned control method for a group control unit of a cooling capacity distribution unit.

[0036] The aforementioned main solution of this application and its further options can be freely combined to form multiple solutions, all of which can be adopted and protected by this application. After understanding the solution of this application, those skilled in the art will understand that there are many combinations based on existing technology and common knowledge, all of which are technical solutions to be protected by this application, and these are not exhaustive here.

[0037] Beneficial effects of this application:

[0038] The control method for the cooling distribution unit group control unit proposed in this application can automatically adjust the number of operating cooling distribution units and the operating speed according to different loads, adapt to different system requirements, and make real-time adjustments based on the built-in power optimization model, ultimately achieving the optimal group control parameter configuration under different loads and reducing the overall PUE of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of the control method for the group control unit of the cooling distribution unit of this application. DETAILED DESCRIPTION

[0040] The following describes the embodiments of the present application through specific examples. Those skilled in the art can easily understand the other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0041] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings.

[0042] In the description of this application, it should be noted that the terms "center," "upper," "lower," "left," "right," "vertical," "horizontal," "inner," "outer," etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, or are the orientations or positional relationships in which the product of this application is typically placed when in use. These terms are intended only to facilitate the description of this application and simplify the description, and are not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limitations on this application. Furthermore, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0043] Furthermore, terms such as "horizontal," "vertical," and "overhanging" do not necessarily imply that a component must be absolutely horizontal or overhanging, but rather that it can be slightly tilted. For example, "horizontal" simply means that its direction is more horizontal than "vertical," and does not mean that the structure must be completely horizontal, but rather that it can be slightly tilted.

[0044] It should also be noted that, in the description of this application, unless otherwise expressly specified or limited, the terms "disposed," "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0045] In addition, the present application would like to point out that, in the present application, unless the specific structures, connection relationships, positional relationships, power source relationships, etc. are specifically written out, the structures, connection relationships, positional relationships, power source relationships, etc. involved in the present application are all known to those skilled in the art based on the existing technology without creative work.

[0046] Example 1

[0047] refer to Figure 1 As shown in the figure, a control method for a group control unit of a cooling capacity distribution unit is shown, and the control method for a group control unit of a cooling capacity distribution unit includes the following steps.

[0048] Step S1: Mode selection, switching the cooling distribution unit group from stand-alone mode to group control mode to ensure the normal start of subsequent group control functions. In step S1, data is exchanged between the cooling distribution units through a preset communication network.

[0049] Step S2: Host selection and setting, selecting a cooling distribution unit in the cooling distribution unit group as the initial master control unit to run the corresponding group control algorithm and output control signals;

[0050] Step S3: Priority setting: setting the priority of each cooling distribution unit in the cooling distribution unit group to ensure that the remaining cooling distribution units can continue to operate when the initial master unit fails.

[0051] Step S4: Model establishment. Since the main energy-consuming component in the cooling distribution unit is the circulating water pump, the initial energy consumption model of the cooling distribution unit can be simplified to its circulating water pump energy consumption model. In this application, each cooling distribution unit corresponds to a circulating water pump.

[0052] Construct an energy consumption model of the cooling distribution unit based on a circulating water pump, including: flow model, power model and problem model.

[0053] The pump flow rate and speed are linearly positively correlated. In practice, they are affected by pipeline resistance and efficiency loss. The flow model relationship obtained by polynomial fitting is:

[0054] Q(n)=a*n 2 +b*n

[0055] Where Q is the pump flow rate, n is the pump speed, a and b are coefficients;

[0056] The pump power is related to the cube of the speed. In practice, it will be affected by motor efficiency and mechanical loss factors. The power model relationship obtained by polynomial fitting is:

[0057] P(n)=c*n 3 +d*n 2 +e*n

[0058] Where P is the pump power, n is the pump speed, c, d and e are coefficients;

[0059] The problem model is established based on the required flow and minimum power. The problem model expression is:

[0060] Q 需 ≥X*Q(n)

[0061] P 总 =X*P(n)

[0062] Among them, Q 需 is the required flow rate of the data center liquid cooling system, P 总 is the total power of the data center liquid cooling system, and X is the number of running water pumps.

[0063] Step S5: Calculate the rotation speed by the number of available water pumps in the cooling distribution unit group (ie, the available cooling distribution units) x max is the maximum limit of X, traversing from X=1 to X=X max , satisfying the formula: Q 需≥X*Q(n), the number of pumps X corresponds to the speed n.

[0064] Step S6: Power calculation, according to the number of pumps and their corresponding speeds (X, n) obtained by S5, substitute them into the problem model P 总 =X*P(n), thereby obtaining the total power corresponding to the number of pumps and the corresponding speed combination when the flow demand is met.

[0065] Step S7: Minimum power selection, compare the powers obtained in S6, and select the minimum power P min Corresponding to X and n, the total power corresponding to the data center liquid cooling system is the optimal choice.

[0066] Step S8: Action execution. Based on the order of the cooling distribution units set in S3 and the number of running units X and the speed n corresponding to the minimum power in S7, the master control machine sends the signal to the corresponding cooling distribution unit according to the set order. Each cooling distribution unit performs the corresponding action after receiving the signal from the master control machine.

[0067] Step S9: Data collection, real-time collection and feedback of the actual power consumption P of each cooling distribution unit 实际 , actual water supply flow Q 实际 And the actual pump speed n 实际 , and transmit it to the host computer for record storage.

[0068] Step S10: Model optimization, actual power P 实际 The minimum power P calculated in S7 min Perform error calculation to obtain the power error P 误差 =P 实际 -P min , add the power error to the power model in S4, and get the optimized power model P(n)=c*n 3 +d*n 2 +e*n+P 误差 , and update the S4 mid-power model according to the latest model.

[0069] Step S11: Parameter update, if P in S10 误差 > If the deviation exceeds the set allowable range and exceeds the preset time interval, the power, flow and speed data stored and recorded in S9 are used to refit the parameters of the flow model and power model in S4, and the parameter update in the corresponding model expression is completed.

[0070] Therefore, the control method for the group control unit of the cooling distribution unit proposed in this application can automatically adjust the number of operating cooling distribution units and the operating speed according to different loads, adapt to different system requirements, and make real-time adjustments based on the built-in power optimization model, ultimately achieving the optimal group control parameter configuration under different loads, thereby reducing the overall PUE of the system.

[0071] Example 2

[0072] Based on Example 1, the present application further discloses a cooling capacity distribution unit group control system, wherein the cooling capacity distribution unit group control system includes a processor and a memory.

[0073] Optionally, it also includes: a communication interface and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus.

[0074] The memory is used to store computer programs or instructions, and the processor is used to execute the computer programs or instructions in the memory. When the computer program or instructions are executed, it is used to implement the control method for the group control unit of the cooling distribution unit described in Example 1.

[0075] Preferably, the communication bus may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus may be divided into an address bus, a data bus, a control bus, etc. The communication interface is used for communication between the above-mentioned system device and other devices.

[0076] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk memory. Alternatively, the memory may be at least one storage device located away from the processor.

[0077] The above-mentioned processor can be a general-purpose processor, including a central processing unit, a network processor (NP), etc.; it can also be a digital signal processing processor (DSP), an application-specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc.

[0078] Example 3

[0079] Based on Example 1, the present application further discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the control method for the group control unit of the cooling distribution unit described in Example 1 is implemented.

[0080] The above-mentioned computer-readable storage medium can be any available medium or data storage device that can be accessed by the processor in the system device, including but not limited to magnetic storage such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc., optical storage such as CDs, DVDs, BDs, HVDs, etc., and semiconductor storage such as ROMs, EPROMs, EEPROMs, non-volatile memories (NANDFLASH), solid-state drives (SSDs), etc.

[0081] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A method for controlling a group control unit of a cooling capacity distribution unit, characterized in that: The control method of the cooling capacity distribution unit group control unit includes: S1: Mode selection, switches the cooling distribution unit group from stand-alone mode to group control mode; S2: Host selection setting, select a cooling distribution unit in the cooling distribution unit group as the initial master machine to run the corresponding group control algorithm and output control signals; S3: Priority setting, which sets the priority of each cooling distribution unit in the cooling distribution unit group to ensure that the remaining cooling distribution units can continue to operate when the initial master unit fails; S4: Model establishment: constructing the energy consumption model of the cooling distribution unit based on the circulating water pump, including: flow model, power model and problem model; The pump flow rate and speed are linearly positively correlated. In practice, they are affected by pipeline resistance and efficiency loss. The flow model relationship obtained by polynomial fitting is: Q(n)=a*n 2 +b*n Where Q is the pump flow rate, n is the pump speed, a and b are coefficients; The pump power is related to the cube of the speed. In practice, it will be affected by motor efficiency and mechanical loss factors. The power model relationship obtained by polynomial fitting is: P(n)=c*n 3 +d*n 2 +e*n Where P is the pump power, n is the pump speed, c, d and e are coefficients; The problem model is established based on the required flow and minimum power. The problem model expression is: Q 需 ≥X*Q(n) P 总 =X*P(n) Among them, Q 需 is the required flow rate of the data center liquid cooling system, P 总 is the total power of the data center liquid cooling system, and X is the number of running water pumps; S5: Speed calculation, based on the number of available pumps in the cooling capacity distribution unit group X max is the maximum limit of X, traversing from X=1 to X=X max , satisfying the formula: Q 需 ≥X*Q(n), the number of pumps X corresponds to the speed n; S6: Power calculation, according to the number of pumps and their corresponding speeds (X, n) obtained in S5, substitute them into the problem model P 总 =X*P(n), thus obtaining the total power corresponding to the number of pumps and the corresponding speed combination when meeting the flow demand; S7: Minimum power selection, compare the power obtained in S6, and select the minimum power P min Corresponding to X and n, the total power of the data center liquid cooling system is the optimal choice; S8: Action execution. Based on the order of the cooling distribution units set in S3 and the number of running units X and the speed n corresponding to the minimum power in S7, the master control machine sends the signal to the corresponding cooling distribution unit according to the set order. Each cooling distribution unit performs the corresponding action after receiving the signal from the master control machine.

2. The control method for a group control unit of a cooling capacity distribution unit according to claim 1, characterized in that: The control method for the group control unit of the cooling capacity distribution unit further includes: S9: Data collection, real-time collection and feedback of the actual power consumption P of each cooling distribution unit 实际 , actual water supply flow Q 实际 And the actual pump speed n 实际 , and transmit it to the host computer for record storage; S10: Model optimization, actual power P 实际 The minimum power P calculated in S7 min Perform error calculation to obtain the power error P 误差 =P 实际 -P min , add the power error to the power model in S4, and get the optimized power model P(n)=c*n 3 +d*n 2 +e*n+P 误差 , and update the power model in S4 according to the optimized model.

3. The control method for a group control unit of a cooling capacity distribution unit according to claim 2, characterized in that: The control method for the group control unit of the cooling capacity distribution unit further includes: S11: Parameter update, if P in S10 误差 > If the deviation exceeds the set allowable range and exceeds the preset time interval, the power, flow and speed data stored and recorded in S9 are used to refit the parameters of the flow model and power model in step S4, and the parameter update in the corresponding model expression is completed.

4. The control method for a group control unit of a cooling capacity distribution unit according to claim 1, characterized in that: In step S1, data is exchanged between the cooling capacity distribution units via a preset communication network.

5. A control system for a group control unit of a cooling capacity distribution unit, characterized in that: The cooling capacity distribution unit group control system includes a processor and a memory; The memory is used to store computer programs or instructions, and the processor is used to execute the computer programs or instructions in the memory. When the computer program or instructions are executed, it is used to implement the control method for the group control unit of the cooling distribution unit according to any one of claims 1 to 4.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for controlling a group control unit of a cooling capacity distribution unit according to any one of claims 1 to 4 is implemented.

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