Simulation method of data center, storage medium and electronic device

Abstract

This invention discloses a data center simulation method, storage medium, and electronic device. The method includes: constructing a simulation model, which includes a cooling system module, a cooling control module, an airflow organization module, a terminal airflow control module, and a synchronizer disposed between the cooling system module and the airflow organization module; within the current simulation step, the cooling system module obtains the return air temperature and flow rate of the airflow organization module through the synchronizer, and calculates a first parameter based on the return air temperature, flow rate, and a first control parameter of the cooling control module, the first parameter including the supply air temperature of the airflow organization module; the airflow organization module obtains the supply air temperature through the synchronizer, and calculates a second parameter for the next simulation step based on the supply air temperature and a second control parameter of the terminal airflow control module, the second parameter including the return air temperature and flow rate. This method can reflect the actual operating state of the data center and effectively improve the accuracy of data center simulation.

Description

Technical Field

[0001] This invention relates to the field of simulation technology, and in particular to a data center simulation method, storage medium, and electronic device. Background Technology

[0002] Data center server rooms contain rack-mount servers, blade servers, and other server components, characterized by high density, high energy consumption, and uninterrupted operation. To ensure their safe and reliable operation, it is necessary not only to equip them with terminal cooling equipment and arrange appropriate airflow within the server room, but also to build a matching cooling system to provide a cooling source for the terminals.

[0003] In related technologies, standalone cooling system simulations neglect the airflow response characteristics within the data center system, making it impossible to accurately determine the load input. Similarly, Computational Fluid Dynamics (CFD) simulations of data center airflow ignore the cooling system's response characteristics, failing to accurately obtain the airflow boundary conditions. Therefore, either standalone cooling system simulations or data center airflow CFD simulations cannot accurately reflect the real operating state of a data center, resulting in poor data center simulation accuracy. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in related technologies. Therefore, the first objective of this invention is to propose a data center simulation method that can reflect the actual operating state of a data center and effectively improve the accuracy of data center simulation.

[0005] A second objective of this invention is to provide a computer-readable storage medium.

[0006] The third objective of this invention is to provide an electronic device.

[0007] To achieve the above objectives, a first aspect of the present invention proposes a data center simulation method. The method includes: constructing a simulation model, the simulation model including a cooling system module, a cooling control module, an airflow organization module, a terminal airflow control module, and a synchronizer disposed between the cooling system module and the airflow organization module; within the current simulation step, the cooling system module obtains the return air temperature and flow rate of the airflow organization module through the synchronizer, and calculates a first parameter based on the return air temperature, flow rate, and a first control parameter of the cooling control module, the first parameter including the supply air temperature of the airflow organization module; the airflow organization module obtains the supply air temperature through the synchronizer, and calculates a second parameter for the next simulation step based on the supply air temperature and a second control parameter of the terminal airflow control module, the second parameter including the return air temperature and flow rate.

[0008] According to the data center simulation method of this invention, a simulation model is constructed. Within the current simulation step, the cooling system module obtains the return air temperature and flow rate of the airflow organization module through a synchronizer, and calculates a first parameter based on the return air temperature, flow rate, and a first control parameter of the cooling control module. The supply air temperature is then obtained through the synchronizer, and a second parameter for the next simulation step is calculated based on the supply air temperature and a second control parameter of the terminal airflow control module. This method effectively reflects the real operating state of the data center and improves the accuracy of data center simulation.

[0009] According to one embodiment of the present invention, the first parameter further includes the actual refrigeration parameters of the refrigeration system module, and the method further includes: the refrigeration control module calculates the first control parameter within the next simulation step based on the actual refrigeration parameters and the target refrigeration parameters.

[0010] According to one embodiment of the present invention, the refrigeration system module includes at least one of a main unit, a cooling tower, a water pump, and a heat exchanger; the refrigeration control module includes at least one of a main unit control unit, a cooling tower fan control unit, and a water pump control unit; the actual refrigeration parameters include at least one of the chilled water loop pressure difference and the cooling water loop temperature difference; and the first control parameters include at least one of the number of main units, the cooling tower fan speed, and the water pump frequency.

[0011] According to an embodiment of the present invention, the simulation model further includes a refrigeration system configuration module, and the method further includes: before the simulation starts, the refrigeration system configuration module configures the refrigeration system parameters of the refrigeration system module, the refrigeration system parameters including at least one of refrigeration system type, pipe network structure, host performance and water pump performance.

[0012] According to one embodiment of the present invention, the second parameter further includes the rack temperature of the data center, and the method further includes: the terminal airflow control module calculates the second control parameter in the next simulation step based on the rack temperature simulation, and the second control parameter includes the air supply speed of the airflow organization module.

[0013] According to one embodiment of the present invention, the airflow organization module includes a data center server room model, and the terminal airflow control module includes a terminal fan.

[0014] According to an embodiment of the present invention, the simulation model further includes an airflow parameter configuration module, and the method further includes: before the simulation starts, the airflow reference configuration module configures the airflow organization parameters of the airflow organization module, the airflow organization parameters including at least one of the following: room size, terminal air supply form, terminal fan performance and cabinet resistance characteristics.

[0015] According to an embodiment of the present invention, the method further includes: at the end of the current simulation step, the synchronizer obtains the duration corresponding to the next simulation step based on at least one of the return air temperature change gradient, the flow rate change gradient, and the supply air temperature change gradient.

[0016] To achieve the above objectives, a second aspect of the present invention provides a computer-readable storage medium storing a data center simulation program thereon, which, when executed by a processor, implements the above-described data center simulation method.

[0017] According to embodiments of the present invention, a computer-readable storage medium constructs a simulation model. Within the current simulation step, the cooling system module acquires the return air temperature and flow rate of the airflow organization module via a synchronizer, and calculates a first parameter based on the return air temperature, flow rate, and a first control parameter of the cooling control module. Then, it acquires the supply air temperature via a synchronizer, and calculates a second parameter for the next simulation step based on the supply air temperature and a second control parameter of the terminal airflow control module. This allows the simulation to reflect the actual operating state of the data center and effectively improves the accuracy of data center simulation.

[0018] To achieve the above objectives, a third aspect of the present invention provides an electronic device, including: a memory, a processor, and a data center simulation program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-described data center simulation method.

[0019] According to embodiments of the present invention, the electronic device constructs a simulation model. Within the current simulation step, the cooling system module obtains the return air temperature and flow rate of the airflow organization module via a synchronizer, and calculates a first parameter based on the return air temperature, flow rate, and a first control parameter of the cooling control module. Then, it obtains the supply air temperature via a synchronizer, and calculates a second parameter for the next simulation step based on the supply air temperature and a second control parameter of the terminal airflow control module. This allows the device to reflect the actual operating state of the data center and effectively improves the accuracy of data center simulation.

[0020] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0021] Figure 1 A flowchart illustrating a data center simulation method according to an embodiment of the present invention;

[0022] Figure 2 This is a schematic diagram of the structure of a simulation model of a data center according to an embodiment of the present invention;

[0023] Figure 3 This is a schematic diagram of the structure of a simulation model of a data center according to another embodiment of the present invention;

[0024] Figure 4 This is a structural block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0025] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings, in which the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout the drawings.

[0026] It should be noted that data center server rooms contain rack-mount servers, blade servers, and other server types, characterized by high density, high energy consumption, and uninterrupted operation. To ensure their safe and reliable operation, it is necessary not only to equip them with terminal cooling equipment and arrange appropriate airflow within the server room, but also to build a matching cooling system to provide a cooling source for the terminals.

[0027] Simulations of cooling system cycles require real-time cooling loads from terminal heat exchangers as input, while CFD simulations of data center airflow organization require supply air temperatures from terminal heat exchangers as inlet conditions. These two types of simulations are coupled through terminal devices, serving as boundary conditions for each other. However, in related technologies, standalone cooling system simulations neglect the airflow response characteristics within the data center system, failing to accurately determine the load input; while standalone data center airflow CFD simulations neglect the cooling system's response characteristics, failing to accurately obtain the supply air boundary conditions. Therefore, either standalone cooling system simulation or data center airflow CFD simulation cannot accurately reflect the real operating state of the data center, resulting in poor data center simulation accuracy.

[0028] Based on this, this application provides a data center simulation method that can reflect the real operating status of the data center and effectively improve the accuracy of data center simulation.

[0029] The following description, with reference to the accompanying drawings, describes the data center simulation method, storage medium, and electronic device provided in the embodiments of the present invention.

[0030] Figure 1 A flowchart of a data center simulation method according to an embodiment of the present invention is provided, with reference to... Figure 1 As shown, the simulation method for this data center may include the following steps:

[0031] Step S101: Construct a simulation model, which includes a terminal airflow control module, a refrigeration system module, an airflow organization module, a refrigeration control module, and a synchronizer set between the refrigeration system module and the airflow organization module.

[0032] Specifically Figure 2This is a schematic diagram of the structure of a simulation model of a data center according to an embodiment of the present invention, with reference to... Figure 2 As shown, the simulation model 200 includes a refrigeration system module 201, a refrigeration control module 202, an airflow organization module 203, a terminal airflow control module 204, and a synchronizer 205. The refrigeration system module 201 can be an FMU (Functional Mock-up Unit), and the airflow organization module 203 can be a CFD module. The refrigeration system module 201 and the airflow organization module 203 can exchange data through the synchronizer 205 located between them. The exchanged data may include supply air temperature, return air temperature, and flow rate.

[0033] Step S102: Within the current simulation step, the refrigeration system module obtains the return air temperature and flow rate of the airflow organization module through the synchronizer, and calculates the first parameter based on the return air temperature, flow rate and the first control parameter of the refrigeration control module. The first parameter includes the supply air temperature of the airflow organization module.

[0034] In other words, within each simulation step, the terminal airflow control module reads the rack temperature and performs fine-grained control on the airflow to each rack and server, outputting the airflow speed for the airflow organization module to read. The cooling system module is connected to the airflow organization module via a synchronizer, enabling the cooling system module to obtain the return airflow and return air temperature from the airflow organization module. Using the return air temperature, return airflow, and the first control parameter of the cooling control module as inputs to the airflow organization module, the simulation calculates the supply air temperature of the airflow organization module.

[0035] Step S103: The airflow organization module obtains the supply air temperature through the synchronizer, and calculates the second parameter in the next simulation step based on the supply air temperature and the second control parameter of the terminal airflow control module. The second parameter includes the return air temperature and flow rate.

[0036] In other words, through data exchange with the synchronizer, the airflow organization module can read the supply air temperature calculated by the refrigeration system module and the return air flow rate obtained by the terminal airflow control module. Using the supply air temperature and the second control parameter of the terminal airflow control module as inputs to the airflow organization module, the return air temperature and flow rate in the next simulation step are calculated.

[0037] It should be understood that, although Figure 1 The steps in the flowchart are shown sequentially as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order in which these steps are executed, and they can be performed in other orders. Figure 1At least some of the steps in the process may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be executed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.

[0038] According to the data center simulation method of the present invention, for the simulation of the cooling system cycle, the real-time cooling load of the terminal heat exchange can be used as the input, and for the simulation of the airflow organization of the computer room, the supply air temperature of the terminal heat exchange can be used as the inlet condition. This allows the two types of simulations to be coupled through the terminal equipment and become boundary conditions for each other, thereby reflecting the real operating state of the data center and effectively improving the accuracy of the data center simulation.

[0039] In one embodiment, the first parameter also includes the actual cooling parameter, and the method further includes: the cooling control module calculates the first control parameter in the next simulation step based on the target cooling parameter and the actual cooling parameter.

[0040] In other words, after the refrigeration system module obtains the return air flow rate and return air temperature through the synchronizer, it calculates the real-time load of the refrigeration system based on these parameters and obtains the actual refrigeration parameters. Then, the refrigeration control module obtains the first control parameter for the next simulation step based on the target refrigeration parameters and the actual refrigeration parameters. This allows the refrigeration system module to read the first control parameter and solve the refrigeration cycle based on the input of the control parameter. Optionally, the actual refrigeration parameters include the cooling water loop temperature difference and / or the chilled water loop pressure difference, and the first control parameter may include at least one of the following: cooling tower fan speed, number of main units, and water pump frequency. In a specific example, after the FMU module completes its calculation, the refrigeration control module can read relevant control parameters such as the chilled water loop pressure difference and cooling water loop temperature difference, and calculate control parameters such as water pump frequency, number of main units, and cooling tower fan speed through set constant temperature difference, constant pressure difference, and other control methods for the refrigeration system module to read.

[0041] Optionally, the refrigeration system module may include at least one of a heat exchanger, a main unit, a water pump, and a cooling tower. Specifically, the refrigeration system module may include a refrigeration cycle system composed of various components such as a main unit, a cooling tower, a water pump, and a heat exchanger, and may generate an FMU in the form of a standardized FMI (Functional Mock-up Interface). Correspondingly, the refrigeration control module may include at least one of a water pump control unit, a cooling tower fan control unit, and a main unit control unit.

[0042] Furthermore, the simulation model also includes a refrigeration system configuration module. In this case, the method may also include: before the simulation starts, the refrigeration system configuration module configures the refrigeration system parameters of the refrigeration system module. The refrigeration system parameters include at least one of the following: refrigeration system type, piping structure, host performance, and water pump performance.

[0043] In other words, a refrigeration system configuration module can be set up for the refrigeration system module to configure its parameters. This refrigeration system configuration module can include a database of parameters such as refrigeration system type, host performance, water pump performance, and piping structure. Before the simulation starts, the actual refrigeration system type, piping structure, host performance, water pump performance, and other parameters can be used as input through this refrigeration system configuration module to configure the refrigeration system module.

[0044] In one embodiment, the second parameter may further include the rack temperature of the data center. The method also includes: the terminal airflow control module calculates the second control parameter for the next simulation step based on the rack temperature simulation. The second control parameter includes the air supply velocity of the airflow organization module. In other words, the airflow organization module can obtain the supply air temperature through a synchronizer and calculate the return air temperature, return air flow rate, and data center rack temperature for the next simulation step based on the supply air temperature and the air supply velocity of the airflow organization module.

[0045] Optionally, the airflow organization module may include a data center server room model, and the terminal airflow control module may include terminal fans. In a specific example, the airflow organization module may be a CFD module, which may include components such as a server room model, a CFD solving unit, and a result visualization unit. The terminal airflow control module may include terminal fans, and this terminal airflow control module can achieve fine-grained control of the terminal fans.

[0046] Furthermore, the simulation model may also include an airflow parameter configuration module. The method further includes: before the simulation starts, the airflow reference configuration module configures the airflow organization parameters of the airflow organization module. The airflow organization parameters include at least one of the following: room size, cabinet resistance characteristics, terminal fan performance, and terminal air supply form.

[0047] In other words, an airflow parameter configuration module can be set up for the airflow organization module to configure its parameters specifically. The airflow reference configuration module can include a database of parameters such as room size, terminal air supply type, terminal fan performance, and rack resistance characteristics. Before the simulation starts, at least one of these parameters—room size, terminal air supply type, terminal fan performance, and rack resistance characteristics—is used as input through the airflow reference configuration module to configure the model of the airflow organization module.

[0048] In one embodiment, the method further includes: at the end of the current simulation step, the synchronizer obtains the duration corresponding to the next simulation step based on at least one of the return air temperature change gradient, the flow rate change gradient, and the supply air temperature change gradient.

[0049] In other words, after each module completes its current simulation calculation, when each interface updates the calculation results of the current simulation step, the synchronizer can dynamically adjust the time length corresponding to the calculation of the next simulation step based on the gradient of changes in relevant data (such as at least one of return air temperature, return air flow rate, and supply air temperature) in the previous step, thereby achieving adaptive step size.

[0050] The present invention will be further explained and illustrated below through two specific embodiments.

[0051] Figure 3 This is a schematic diagram of the structure of a simulation model of a data center according to a specific embodiment of the present invention, with reference to... Figure 3 As shown, the simulation model 300 includes a refrigeration system configuration module 301, a refrigeration system module 302, a refrigeration control module 303, an airflow reference configuration module 304, an airflow organization module 305, a terminal airflow control module 306, and a synchronizer 307.

[0052] The refrigeration system configuration module 301 is specifically designed for the refrigeration system module 302, allowing for dedicated parameter configuration of the refrigeration system module 302. This module 301 can contain a database of parameters such as refrigeration system type, main unit performance, water pump performance, and piping network performance. Before the simulation begins, the actual refrigeration system type, water pump performance, main unit performance, and piping network performance parameters can be used as input to configure the refrigeration system module 302. The refrigeration system module 302 can include a refrigeration cycle system composed of various components such as the main unit, cooling tower, water pump, and heat exchanger, and can generate an Functional Entity Model (FMU) in the form of a standardized FMI (Functional Mock-up Interface). Correspondingly, the refrigeration control module 303 can include a main unit control unit, a water pump control unit, and a cooling tower fan control unit.

[0053] The airflow parameter configuration module 304 is configured for the airflow organization module 305 to specifically configure its parameters. The airflow reference configuration module 304 may include a database of parameters such as terminal air supply type, terminal fan performance, server room dimensions, and cabinet resistance characteristics. Before the simulation begins, this parameter database is used as input to configure the model of the airflow organization module 305. The airflow organization module 305 may be a CFD simulation module, which may include components such as a server room model, CFD solver units, and result visualization units.

[0054] Meanwhile, the refrigeration system module 302 and the airflow organization module 305 can exchange data through the synchronizer 307. The exchanged data can include return air temperature, return air flow rate, and supply air temperature. After each module completes its current simulation calculation, when each interface updates the calculation results of the current simulation step, the synchronizer 307 can dynamically adjust the time length corresponding to the next simulation step based on the change gradient of supply air temperature, return air temperature, and return air flow rate in the previous step.

[0055] In another specific embodiment, the simulation of the data center is controlled by a synchronizer, wherein each simulation step may include the following steps:

[0056] Step S401: Read the return air temperature and flow rate from the CFD module through the FMU module, calculate the real-time load of the refrigeration system, and read the cooling tower fan speed, number of main units, water pump frequency and other parameters from the refrigeration control module, and then solve the refrigeration cycle based on these parameters.

[0057] Step S402: After the FMU module completes the calculation, it acquires control-related parameters such as chilled water loop pressure difference and cooling water loop temperature difference for the refrigeration control module to read, and acquires parameters such as supply air temperature for the gas CFD module to read.

[0058] Step S403: The refrigeration control module reads parameters such as chilled water loop pressure difference and cooling water loop temperature difference calculated by the FMU module, and calculates control parameters such as cooling tower fan speed, number of main units, and water pump frequency through the set constant temperature difference and constant pressure difference control methods, so as to provide the FMU module with these parameters.

[0059] Step S404: The CFD module reads the supply air temperature calculated by the FMU module and the supply air velocity obtained by the terminal airflow control module, dynamically solves the flow and heat transfer process in the computer room, and obtains the cabinet temperature for the terminal airflow control module to read. At the same time, it obtains the return air temperature for the cooling system FMU to read.

[0060] Step S405: The terminal airflow control module reads the rack temperature, performs fine control on the airflow of each rack and server, and outputs the airflow rate for the CFD module to read.

[0061] Step S406: After each module completes the calculation, when each interface updates the calculation result of the current time step, the synchronizer dynamically adjusts the time length corresponding to the next simulation step according to the change gradient of the data in the previous step (such as at least one of return air temperature, return air flow rate and supply air temperature).

[0062] Step S407: Proceed to the next simulation step and repeat the above steps.

[0063] In summary, the data center simulation method according to embodiments of the present invention constructs a simulation model. Within the current simulation step, the cooling system module obtains the return air temperature and flow rate of the airflow organization module via a synchronizer, and calculates the first parameter based on the return air temperature, flow rate, and the first control parameter of the cooling control module. It also obtains the supply air temperature via a synchronizer, and calculates the second parameter for the next simulation step based on the supply air temperature and the second control parameter of the terminal airflow control module. Thus, for the simulation of the cooling system cycle, the real-time cooling load of the terminal heat exchange can be used as input, while for the simulation of the data center airflow organization, the supply air temperature of the terminal heat exchange can be used as the inlet condition. This allows these two types of simulations to be coupled through the terminal equipment, serving as boundary conditions for each other, thereby reflecting the actual operating state of the data center and effectively improving the accuracy of data center simulation.

[0064] In one embodiment, a computer-readable storage medium is provided that stores a data center simulation program thereon, which, when executed by a processor, implements the data center simulation method described above.

[0065] According to the computer-readable storage medium of the present invention, when the data center simulation program is executed by a processor, the above-described data center simulation method is implemented. This allows the simulation of the cooling system cycle to use the real-time cooling load of the terminal heat exchange as input, and the simulation of the airflow organization in the computer room to use the supply air temperature of the terminal heat exchange as the inlet condition. This allows the two types of simulations to be coupled through the terminal devices and serve as boundary conditions for each other, thereby reflecting the real operating state of the data center and effectively improving the accuracy of the data center simulation.

[0066] Figure 4 This is a structural block diagram of an electronic device according to an embodiment of the present invention. (Reference) Figure 4As shown, the electronic device 500 includes: a memory 501, a processor 502, and a data center simulation program stored in the memory 501 and capable of running on the processor 502. When the processor 502 executes the program, it implements the aforementioned data center simulation method.

[0067] According to the embodiments of the present invention, when the electronic device executes the data center simulation program stored in the memory through the processor, it implements the above-mentioned data center simulation method, so that the simulation of the cooling system cycle can use the real-time cooling load of the terminal heat exchange as input, and the simulation of the airflow organization of the computer room can use the supply air temperature of the terminal heat exchange as the inlet condition. This allows the two types of simulations to be coupled through the terminal equipment and serve as boundary conditions for each other, thereby reflecting the real operating state of the data center and effectively improving the accuracy of the data center simulation.

[0068] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, such as by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0069] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0070] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0071] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A data center simulation method, characterized in that, The method includes: A simulation model is constructed, which includes a refrigeration system module, a refrigeration control module, an airflow organization module, a terminal airflow control module, and a synchronizer set between the refrigeration system module and the airflow organization module; Within the current simulation step, the refrigeration system module obtains the return air temperature and flow rate of the airflow organization module through the synchronizer, and calculates the first parameter based on the return air temperature, the flow rate and the first control parameter of the refrigeration control module. The first parameter includes the supply air temperature of the airflow organization module. The airflow organization module obtains the supply air temperature through the synchronizer, and calculates the second parameter for the next simulation step based on the supply air temperature and the second control parameter of the terminal airflow control module. The second parameter includes the return air temperature and flow rate of the airflow organization module in the next simulation step. The method further includes: At the end of the current simulation step, the synchronizer obtains the duration corresponding to the next simulation step based on at least one of the change gradient of the return air temperature of the airflow organization module, the change gradient of the flow rate of the airflow organization module, and the change gradient of the supply air temperature of the airflow organization module.

2. The method according to claim 1, characterized in that, The first parameter also includes the actual refrigeration parameters of the refrigeration system module, and the method further includes: The refrigeration control module calculates the first control parameter within the next simulation step based on the actual refrigeration parameters and the target refrigeration parameters.

3. The method according to claim 2, characterized in that, The refrigeration system module includes at least one of a main unit, a cooling tower, a water pump, and a heat exchanger. The refrigeration control module includes at least one of a main unit control unit, a cooling tower fan control unit, and a water pump control unit. The actual refrigeration parameters include at least one of chilled water loop pressure difference and cooling water loop temperature difference. The first control parameters include at least one of the number of main units, cooling tower fan speed, and water pump frequency.

4. The method according to claim 3, characterized in that, The simulation model also includes a refrigeration system configuration module, and the method further includes: Before the simulation begins, the refrigeration system configuration module configures the refrigeration system parameters of the refrigeration system module. The refrigeration system parameters include at least one of the following: refrigeration system type, piping structure, host performance, and water pump performance.

5. The method according to claim 1, characterized in that, The second parameter also includes the rack temperature of the data center, and the method further includes: The terminal airflow control module calculates the second control parameter in the next simulation step based on the cabinet temperature simulation. The second control parameter includes the air delivery speed of the airflow organization module.

6. The method according to claim 5, characterized in that, The airflow organization module includes a model of the data center's server room, and the terminal airflow control module includes terminal fans.

7. The method according to claim 6, characterized in that, The simulation model also includes an airflow parameter configuration module, and the method further includes: Before the simulation begins, the airflow parameter configuration module configures the airflow organization parameters of the airflow organization module. The airflow organization parameters include at least one of the following: room size, terminal air supply type, terminal fan performance, and cabinet resistance characteristics.

8. A computer-readable storage medium, characterized in that, It stores a data center simulation program, which, when executed by a processor, implements the data center simulation method according to any one of claims 1-7.

9. An electronic device, characterized in that, include: A memory, a processor, and a data center simulation program stored in the memory and executable on the processor, wherein when the processor executes the program, it implements a data center simulation method according to any one of claims 1-7.

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