Modeling method and system for magnetic suspension phase change cooling system of data center

Abstract

The invention discloses a modeling method and system for a magnetic suspension phase change cooling system of a data center, and relates to the technical field of cooling system modeling, and the method comprises the following steps: obtaining basic parameter data of the magnetic suspension phase change cooling system, and marking the basic parameter data as cooling system parameter information; monitoring the operation state of the magnetic suspension phase change cooling system to obtain state information of the cooling system; based on the cooling system parameter information and the cooling system state information, establishing a mathematical model of the magnetic suspension phase change cooling system, and obtaining a cooling system mathematical model after completion; establishing a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information; the method is used for solving the problems that an existing cooling system modeling technology only pays attention to the internal operation process of the cooling system, the modeling process is too complex and lengthy, and an accurate mathematical model for describing the cooling system cannot be rapidly established.

Description

Technical Field

[0001] The present invention relates to the technical field of cooling system modeling, and in particular to a method, system, electronic device and storage medium for generating an electrical stimulation signal. Background Art

[0002] Cooling system modeling technology refers to the use of knowledge and methods in the fields of mathematics, physics, computer science, etc. to abstract and simplify the operating characteristics, heat transfer process, and fluid flow of the cooling system, establish corresponding mathematical models or computer models, and use the models to analyze, predict, and optimize the performance and behavior of the cooling system.

[0003] Most of the existing cooling system modeling technologies only focus on the internal operation process of the cooling system. However, the internal process of the cooling system is often too complicated and may involve complex principles such as thermodynamics and fluid mechanics. If you want to describe the internal process of the cooling system in detail, the modeling will be very complicated and require continuous debugging to fit the actual model. Such a modeling process is bound to be time-consuming and labor-intensive, and it is impossible to quickly establish an accurate model for describing the cooling system. In some scenarios, the long modeling process cannot meet urgent needs. If you ignore the internal process during the modeling process and only focus on input and output, you can avoid in-depth exploration of these complex principles and make the model relatively simple. For example, a patent application with publication number CN110134983A discloses a modeling method for a proton exchange membrane fuel cell cooling system. This solution is to model the cooling system by establishing a mathematical model of the internal engineering of the cooling system. The modeling process is too complicated and inefficient. There is also a cooling system modeling technology that only models the physical appearance of the cooling system to form a visual 3D model, which is unable to monitor, predict and optimize the performance and behavior of the cooling system. Therefore, the existing cooling system modeling technology only focuses on the internal operation process of the cooling system. The modeling process is too complicated and lengthy, and it is impossible to quickly establish an accurate mathematical model for describing the cooling system. Summary of the invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent, by acquiring basic parameter data of a magnetic levitation phase change cooling system, monitoring the operating status of the magnetic levitation phase change cooling system, ignoring the complex physical processes inside the cooling system, establishing a mathematical model of the magnetic levitation phase change cooling system, and establishing a simulation model of the cooling system, so as to solve the problem that the existing cooling system modeling technology only focuses on the operating process inside the cooling system, the modeling process is too complicated and lengthy, and it is impossible to quickly establish an accurate mathematical model for describing the cooling system.

[0005] To achieve the above objectives, in a first aspect, the present application provides a modeling method for a magnetic suspension phase change cooling system for a data center, comprising the following steps:

[0006] Obtain basic parameter data of the magnetic suspension phase change cooling system, marked as cooling system parameter information;

[0007] Monitor the operating status of the magnetic suspension phase change cooling system to obtain cooling system status information;

[0008] Based on the cooling system parameter information and cooling system state information, a mathematical model of the magnetic suspension phase change cooling system is established, and after completion, a mathematical model of the cooling system is obtained;

[0009] A simulation model of the cooling system is established based on the cooling system parameter information, the cooling system mathematical model and the cooling system status information.

[0010] Further, obtaining basic parameter data of the magnetic suspension phase change cooling system, marked as cooling system parameter information, includes the following sub-steps:

[0011] The magnetic suspension phase change cooling system is divided into a refrigeration subsystem and a water cooling subsystem. The refrigeration subsystem includes a magnetic suspension compressor, a heat exchanger and a precision air conditioner; the water cooling subsystem includes a chiller, a cooling tower and a water pump;

[0012] Obtain the basic parameters of the refrigeration subsystem: obtain the technical parameters and appearance information of the magnetic levitation compressor, heat exchanger and precision air conditioner, and obtain the refrigerant type and refrigerant parameter information of the magnetic levitation compressor and heat exchanger. After completion, mark the obtained basic parameters of the refrigeration subsystem as refrigeration parameter information;

[0013] Get the basic parameters of the water cooling subsystem: technical parameters and appearance information of the chiller, cooling tower, water pump, and valve, marked as water cooling parameter information;

[0014] The refrigeration parameter information and the water cooling parameter information are marked as cooling system parameter information.

[0015] Furthermore, monitoring the operating state of the magnetic suspension phase change cooling system to obtain cooling system state information includes the following sub-steps:

[0016] Monitor the operating status of the refrigeration subsystem:

[0017] Monitor and record the refrigerant flow and input power of the magnetic suspension compressor, marking it as compressor status information;

[0018] Monitor and record the cooling water mass flow rate, cold side inlet water temperature, hot side outlet water temperature, cold side refrigerant flow rate, hot side inlet refrigerant temperature and cold measured refrigerant temperature of the heat exchanger, and mark them as heat exchanger status information;

[0019] Monitor and record the input power, air inlet temperature, air outlet temperature, refrigerant inlet temperature, refrigerant outlet temperature, air mass flow rate and refrigerant mass flow rate of the precision air conditioner, and mark them as air conditioner status information;

[0020] The compressor status information, the heat exchanger status information and the air conditioning status information are marked as refrigeration operation status information.

[0021] Furthermore, monitoring the operating status of the magnetic suspension phase change cooling system also includes the following sub-steps:

[0022] Monitor the operating status of the water cooling subsystem:

[0023] Monitor and record the chiller input power, cooling water supply temperature setting value, cooling water inlet temperature, cooling water outlet temperature and cooling water mass flow rate of the chiller, and mark them as chiller status information;

[0024] Monitor and record the input power of the cooling tower, air mass flow rate, air inlet temperature and air outlet temperature, cooling water inlet mass flow and cooling water outlet mass flow, cooling water inlet temperature and cooling water outlet temperature, and mark them as cooling tower status information;

[0025] Monitor and record the input power of the water pump, the cooling water delivery mass flow rate and the specific gravity of the delivery medium, and mark them as water pump status information;

[0026] Marking the chiller status information, cooling tower status information and water pump status information as cooling status information;

[0027] The refrigeration status information and the cooling status information are marked as cooling system status information.

[0028] Furthermore, based on the cooling system parameter information and the cooling system state information, a mathematical model of the magnetic suspension phase change cooling system is established. After completion, the mathematical model of the cooling system includes the following sub-steps:

[0029] Establish mathematical models of the refrigeration subsystem, including mathematical models of the heat exchanger and mathematical models of precision air conditioning;

[0030] Establish a mathematical model of the heat exchanger: Calculate the cooling water heat absorption power, refrigerant heat dissipation power and heat exchanger conversion efficiency in the heat exchanger based on the heat exchanger status information; the cooling water heat absorption power calculation formula is as follows: Q h0 =m h0 *C0*(T h0j -T h0i ), where Q h0 is the cooling water heat absorption power of the heat exchanger, m h0 is the cooling water mass flow rate of the heat exchanger, T h0jis the outlet water temperature on the hot side of the heat exchanger, T h0i is the cold side water inlet temperature of the heat exchanger, C0 is the specific heat capacity of cooling water; the refrigerant heat dissipation power calculation formula is as follows: Q hr =m hr *C r *(T hrj -T hri ), where Q hr is the refrigerant heat dissipation power of the heat exchanger, m hr is the refrigerant flow rate on the cold side of the heat exchanger, T hrj is the refrigerant temperature on the hot side of the heat exchanger, T hri The refrigerant temperature of the heat exchanger is measured, C r is the specific heat capacity of the refrigerant; the heat exchanger conversion efficiency calculation formula is as follows: n h is the heat exchanger conversion efficiency; the calculation formula for the cooling water heat absorption power of the heat exchanger, the calculation formula for the refrigerant heat dissipation power and the heat exchanger conversion efficiency formula are marked as the mathematical model of the heat exchanger.

[0031] Furthermore, establishing the mathematical model of the refrigeration subsystem also includes the following sub-steps:

[0032] Establish a mathematical model of precision air conditioning: Calculate the theoretical cooling power, actual cooling power and precision air conditioning cooling efficiency based on the precision air conditioning state information; the theoretical cooling power calculation formula is as follows: Q kr =m kr *C r *(T krj -T kri ), where Q kr is the theoretical cooling power of precision air conditioning, m kr is the refrigerant mass flow rate of precision air conditioning, T kri is the refrigerant outlet temperature of precision air conditioning, T krj The refrigerant inlet temperature of precision air conditioner; the actual cooling power calculation formula is as follows: Q k1 =m1*C1*(T k1j -T k1i ), where Q k1 is the actual cooling power of the precision air conditioner, m k1 is the cooling water mass flow rate of precision air conditioning, T k1i is the cooling water inlet temperature of the precision air conditioner, T k1j The cooling water outlet temperature of the precision air conditioner, C1 is the specific heat capacity of the air; the precision air conditioner refrigeration efficiency calculation formula is as follows: n k is the refrigeration efficiency of the precision air conditioner; the theoretical refrigeration power calculation formula of the precision air conditioner, the actual refrigeration power calculation formula and the refrigeration efficiency of the precision air conditioner are marked as the mathematical model of the precision air conditioner.

[0033] Furthermore, establishing a mathematical model of the water cooling subsystem includes the following sub-steps:

[0034] Establish a mathematical model of the chiller: Calculate the water cooling power and cooling efficiency of the water cooling host based on the status information of the chiller and the water cooling parameter information, and judge the cooling water outlet temperature; the water cooling power calculation formula is as follows: Q z0 =m z0 *C0*(T z0j -T z0i ), where Q z0 is the cooling water heat absorption power of the chiller, m z0 is the cooling water mass flow rate of the chiller, T z0j is the cooling water inlet temperature of the chiller, T z0i is the cooling water outlet temperature of the chiller; the cooling efficiency calculation formula of the chiller is as follows: where n z is the cooling efficiency of the chiller, W z is the input power of the chiller, Z COP is the energy efficiency ratio of the chiller; the formula for judging the cooling water outlet temperature is as follows: Where Z T0 Indicates whether the cooling water outlet temperature is less than or equal to the cooling water supply temperature setting value, T Z is the set value of the cooling water supply temperature; the water cooling refrigeration power calculation formula, refrigeration efficiency calculation formula and discrimination formula of the chiller are marked as the mathematical model of the chiller;

[0035] Establish a mathematical model of the cooling tower: Calculate the cooling tower's heat dissipation power and cooling water evaporation rate based on the cooling tower status information. The heat dissipation power calculation formula is as follows: Q a0 =m a02 *C0*(T a0j -T a0i ), where Q a0 is the cooling water heat dissipation power of the cooling tower, m a02 is the cooling water outlet mass flow rate of the cooling tower, T a0j is the cooling water inlet temperature of the cooling tower, T a0i is the cooling water outlet temperature of the cooling tower; the cooling water evaporation rate calculation formula is as follows: J a0 =m a01 -m a02 , where J a0 is the cooling water evaporation rate, m a01 is the cooling water inlet mass flow rate of the cooling tower; the cooling tower heat dissipation power calculation formula and the cooling water evaporation rate calculation formula are marked as the mathematical model of the cooling tower;

[0036] Establish a mathematical model of the water pump: Calculate the theoretical power and efficiency of the water pump based on the water pump status information and water cooling parameter information. The theoretical power calculation formula of the water pump is as follows: P l =H p *m p0 *SG*9.8, of which P l is the theoretical power of the water pump, H p is the head of the pump, m p0 is the cooling water delivery mass flow of the water pump, SG is the specific gravity of the delivery medium of the water pump; the water pump efficiency calculation formula is as follows: where n p is the pump efficiency, W p is the input power of the water pump; the theoretical power calculation formula of the water pump and the water pump efficiency calculation formula are marked as the mathematical model of the water pump;

[0037] The mathematical model of the refrigeration subsystem and the mathematical model of the water cooling subsystem are marked as the cooling system mathematical model.

[0038] Furthermore, establishing a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information includes the following sub-steps:

[0039] Based on the cooling system parameter information, a corresponding graphic model is selected on the OpenModelica platform to establish a graphic model of the magnetic suspension phase change cooling system, which is marked as the first cooling system model;

[0040] Based on the Modelica standard library, the mathematical model of the cooling system is inserted into the corresponding graphic model in the first cooling system model by using the Modelica programming language to obtain the second cooling system model.

[0041] Furthermore, connecting the monitored cooling system status information with corresponding variables in the cooling system mathematical model also includes the following sub-steps:

[0042] The monitored cooling system status information is connected with the cooling system mathematical model under the corresponding graphic model in the second cooling system model to obtain a third cooling system model; a sampling interval is set, the third cooling system model is run, and the cooling system status information and the calculation results of the cooling system mathematical model are displayed in real time in the third cooling system model.

[0043] In a second aspect, the present application provides a modeling system for a magnetic suspension phase change cooling system for a data center, including a parameter acquisition module, a system monitoring module, a mathematical establishment module, and a system simulation module;

[0044] The parameter acquisition module is used to obtain basic parameter data of the magnetic suspension phase change cooling system, which is marked as cooling system parameter information;

[0045] The system monitoring module is used to monitor the operating status of the magnetic suspension phase change cooling system to obtain cooling system status information;

[0046] The mathematical establishment module establishes a mathematical model of the magnetic suspension phase change cooling system based on the cooling system parameter information and the cooling system state information, and obtains the cooling system mathematical model after completion;

[0047] The system simulation module establishes a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information.

[0048] In a third aspect, the present application provides an electronic device, comprising a processor and a memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the above method are performed.

[0049] Beneficial effects of the present invention: The present invention obtains basic parameter data of a magnetic suspension phase change cooling system and marks it as cooling system parameter information; monitors the operating state of the magnetic suspension phase change cooling system to obtain cooling system state information; establishes a mathematical model of the magnetic suspension phase change cooling system based on the cooling system parameter information and the cooling system state information, and obtains the cooling system mathematical model after completion; establishes a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information; ignores the internal process in the modeling process and only focuses on the input and output, thereby avoiding in-depth exploration of these complex principles and quickly establishing an accurate mathematical model for describing the cooling system;

[0050] The present invention focuses on the input and output of heat, that is, the input and output values ​​of temperature, of the cooling system. Because the internal processes of various devices in the cooling system are too complicated, detailed modeling of the internal processes will be too complicated and inefficient. If the processes are ignored and only the input and output are focused on, in-depth exploration of these complex principles can be avoided, making the model relatively simple, and an accurate mathematical model for describing the cooling system can be quickly established. The cooling system is monitored in real time and the operating status of the cooling system is mapped to the established model in real time to achieve real-time monitoring of the cooling system. The real-time status of the cooling system can be viewed through the model, the operating status of the cooling system can be monitored, and abnormalities can be discovered in time, which helps to make decisions quickly and improves the transparency and visualization of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a functional block diagram of the system of the present invention;

[0052] Figure 2 is a flow chart of the steps of the method of the present invention;

[0053] Figure 3 is the amplitude scatter plot of the present invention;

[0054] Figure 4 It is a pulse width scatter diagram of the present invention;

[0055] Figure 5 It is a schematic structural diagram of the electronic device of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] Example 1, please refer to Figure 1 As shown, in a first aspect, the present application provides a modeling system for a magnetic suspension phase change cooling system for a data center, including a parameter acquisition module, a system monitoring module, a mathematical establishment module, and a system simulation module;

[0058] The parameter acquisition module is used to obtain the basic parameter data of the magnetic suspension phase change cooling system, which is marked as cooling system parameter information;

[0059] The parameter acquisition module is configured with a parameter acquisition strategy, which includes: dividing the magnetic suspension phase change cooling system into a refrigeration subsystem and a water cooling subsystem, the refrigeration subsystem includes a magnetic suspension compressor, a heat exchanger and a precision air conditioner; the water cooling subsystem includes a chiller, a cooling tower and a water pump;

[0060] Obtain the basic parameters of the refrigeration subsystem: obtain the technical parameters and appearance information of the magnetic levitation compressor, heat exchanger and precision air conditioner, and obtain the refrigerant type and parameter information of the magnetic levitation compressor and heat exchanger. After completion, mark the basic parameters of the refrigeration subsystem obtained as refrigeration parameter information; the technical parameters of the magnetic levitation compressor include cylinder volume, input power, working pressure and noise, etc., the technical parameters of the heat exchanger include heat transfer area, working temperature and heat transfer coefficient, etc., the technical parameters of the precision air conditioner include cooling capacity and heating capacity, humidification and dehumidification capacity and temperature control range, etc., the appearance information includes the shape, size, material and weight of the magnetic levitation compressor, heat exchanger and precision air conditioner, and the parameter information of the refrigerant includes boiling point, specific heat capacity, density and molecular weight, etc.; common refrigerant types include R134a, R32, R22 and R433b, etc. In this embodiment, the refrigerant type used is R134a, and the specific heat capacity is 1.51kJ / kg·℃;

[0061] Get the basic parameters of the water cooling subsystem: technical parameters and appearance information of the chiller, cooling tower, water pump and valve, marked as water cooling parameter information; the technical parameters of the chiller, cooling tower, water pump and valve include the cooling capacity, input power and energy efficiency ratio of the chiller, the cooling water flow, water tank size, air volume and fan power of the cooling tower, the head, flow and input power of the water pump; the appearance information includes the shape, size, material and weight of the chiller, cooling tower, water pump and valve; the appearance information is obtained to provide reference for subsequent modeling;

[0062] Mark the refrigeration parameter information and the water cooling parameter information as cooling system parameter information;

[0063] In the specific implementation process, the magnetic levitation phase change cooling system is an advanced cooling technology that combines the advantages of magnetic levitation compressor technology and phase change materials. The core principle of the magnetic levitation compressor is to utilize the magnetic property of "like repels like and opposites attract"; a corresponding electromagnetic field is added between the rotor and stator of the bearing, and the rotor is in a relatively "suspended" state by controlling the electromagnetic field, thereby avoiding mechanical contact with the stator. Due to the lack of mechanical friction, energy loss is reduced, the efficiency of the compressor is improved, and noise and vibration are reduced, which improves the user's comfort. It does not require preheating, can start quickly, and has a low starting current. Phase change materials have the characteristics of good thermal stability and large specific heat capacity, and can absorb a large amount of heat energy during the morphological change process.

[0064] The system monitoring module is used to monitor the operating status of the magnetic suspension phase change cooling system and obtain the cooling system status information;

[0065] The system monitoring module is configured with a system monitoring strategy, which includes: monitoring the operating status of the refrigeration subsystem: monitoring and recording the refrigerant flow and input power of the magnetic levitation compressor, marked as compressor status information; in this embodiment, the refrigerant flow unit is kg / s; the input power unit is w; the main function of the magnetic levitation compressor is to pressurize and transport the refrigerant;

[0066] Monitor and record the cooling water mass flow rate, cold side inlet water temperature, hot side outlet water temperature, cold side refrigerant flow rate, hot side inlet refrigerant temperature and cold side outlet refrigerant temperature of the heat exchanger, and mark them as heat exchanger status information. In this embodiment, the mass flow rate of cooling water is kg / s and the temperature unit is °C. The main function of the heat exchanger is to realize heat exchange between cooling water and refrigerant.

[0067] Monitor and record the input power, air inlet temperature, air outlet temperature, refrigerant inlet temperature, refrigerant outlet temperature, air mass flow rate and refrigerant mass flow rate of the precision air conditioner, and mark them as air conditioner status information; the main function of the precision air conditioner is to cool the equipment in the data center;

[0068] The compressor status information, the heat exchanger status information and the air conditioning status information are marked as refrigeration operation status information.

[0069] Monitor the operating status of the water cooling subsystem: monitor and record the chiller input power, cooling water supply temperature setting value, cooling water inlet temperature, cooling water outlet temperature and cooling water mass flow rate of the chiller, and mark them as chiller status information. The chiller is one of the main cooling sources of the data center, and its main function is to provide cooling water;

[0070] Monitor and record the input power of the cooling tower, air mass flow rate, air inlet temperature and air outlet temperature, cooling water inlet mass flow and cooling water outlet mass flow, cooling water inlet temperature and cooling water outlet temperature, and mark them as cooling tower status information; the cooling tower is an important cold source for data centers to realize the utilization of natural cold sources, and its main function is to provide auxiliary cooling for cooling water;

[0071] Monitor and record the input power of the water pump, the cooling water delivery mass flow rate and the specific gravity of the delivery medium, and mark them as water pump status information; the main function of the water pump is to deliver cooling water;

[0072] Marking the chiller status information, cooling tower status information and water pump status information as cooling status information;

[0073] The refrigeration status information and the cooling status information are marked as cooling system status information.

[0074] In the specific implementation process, because the heat loss during the flow of cooling water and refrigerant pipelines is small, if the heat loss during the flow of cooling water and refrigerant pipelines is ignored, the hot side refrigerant inlet temperature of the heat exchanger is equal to the refrigerant outlet temperature of the precision air conditioner, and the cold side refrigerant outlet temperature of the heat exchanger is equal to the refrigerant inlet temperature of the precision air conditioner; the cold side inlet water temperature of the heat exchanger is equal to the cooling water outlet temperature of the chiller, and the hot side outlet water temperature of the heat exchanger is equal to the cooling water inlet temperature of the cooling tower.

[0075] See also Figure 3 As shown, the mathematical establishment module establishes a mathematical model of the magnetic suspension phase change cooling system based on the cooling system parameter information and the cooling system state information, and after completion, a mathematical model of the cooling system is obtained;

[0076] The mathematical model building module is configured with a mathematical model building strategy, and the mathematical model building strategy includes: building a mathematical model of the refrigeration subsystem, including building a mathematical model of the heat exchanger and building a mathematical model of the precision air conditioner;

[0077] Mathematical modeling of heat exchangers: see Figure 4As shown, cooling water flows from the chiller into the heat exchanger water inlet pipe, exchanges heat with the refrigerant in the heat exchanger, and the flow and pressure are controlled by adjusting the valve, and the refrigerant is distributed to different precision air conditioners; the cooling water heat absorption power, refrigerant heat dissipation power and heat exchanger conversion efficiency in the heat exchanger are calculated based on the heat exchanger status information; the cooling water heat absorption power calculation formula is as follows: Q h0 =m h0 *C0*(T h0j -T h0i ), where Q h0 is the cooling water heat absorption power of the heat exchanger, m h0 is the cooling water mass flow rate of the heat exchanger, T h0j is the outlet water temperature on the hot side of the heat exchanger, T h0i is the cold side water inlet temperature of the heat exchanger, C0 is the specific heat capacity of the cooling water; in this embodiment, the cooling water is pure water, and the specific heat capacity is 4.18×10 3 J / (kg·℃); The formula for calculating the heat dissipation power of refrigerant is as follows: Q hr =m hr *C r *(T hrj -T hri ), where Q hr is the refrigerant heat dissipation power of the heat exchanger, m hr is the refrigerant flow rate on the cold side of the heat exchanger, T hrj is the refrigerant temperature on the hot side of the heat exchanger, T hri The refrigerant temperature of the heat exchanger is measured, C r is the specific heat capacity of the refrigerant. In this embodiment, the refrigerant type used is R134a, and the specific heat capacity is 1.51 kJ / (kg·℃); the heat exchanger conversion efficiency calculation formula is as follows: n h is the conversion efficiency of the heat exchanger; because the heat of the refrigerant cannot be completely transferred to the cooling water, that is, the cooling water will absorb heat from other places except the refrigerant; so there is conversion efficiency; the calculation formula of the cooling water heat absorption power of the heat exchanger, the calculation formula of the refrigerant heat dissipation power and the heat exchanger conversion efficiency formula are marked as the mathematical model of the heat exchanger;

[0078] Establish a mathematical model of precision air conditioning: Calculate the theoretical cooling power, actual cooling power and precision air conditioning cooling efficiency based on the precision air conditioning state information; the theoretical cooling power calculation formula is as follows: Q kr =m kr *C r *(T krj -T kri ), where Q kr is the theoretical cooling power of precision air conditioning, m kr is the refrigerant mass flow rate of precision air conditioning, T kriis the refrigerant outlet temperature of precision air conditioning, T krj The refrigerant inlet temperature of precision air conditioner; the actual cooling power calculation formula is as follows: Q k1 =m1*C1*(T k1j -T k1i ), where Q k1 is the actual cooling power of the precision air conditioner, m k1 is the cooling water mass flow rate of precision air conditioning, T k1i is the cooling water inlet temperature of the precision air conditioner, T k1j The cooling water outlet temperature of the precision air conditioner, C1 is the specific heat capacity of the air; the precision air conditioner refrigeration efficiency calculation formula is as follows: n k is the refrigeration efficiency of the precision air conditioner; the theoretical refrigeration power calculation formula, actual refrigeration power calculation formula and refrigeration efficiency of the precision air conditioner are marked as the mathematical model of the precision air conditioner; the precision air conditioner uses the magnetic levitation compressor to make the refrigerant flow in the precision air conditioner and the heat exchanger, and at the precision air conditioner end, the refrigerant exchanges heat with the air through phase change to transfer heat and take away the heat in the computer room, thereby achieving the purpose of lowering the temperature of the computer room.

[0079] Establish a mathematical model of the water cooling subsystem: Establish a mathematical model of the water cooling host: Calculate the water cooling power and cooling efficiency of the water cooling host based on the water cooling host status information and water cooling parameter information, and judge the cooling water outlet temperature; The water cooling power calculation formula is as follows: Q z0 =m z0 *C0*(T z0j -T z0i ), where Q z0 is the cooling water heat absorption power of the chiller, m z0 is the cooling water mass flow rate of the chiller, T z0j is the cooling water inlet temperature of the chiller, T z0i The outlet temperature of cooling water from the chiller;

[0080] The cooling efficiency calculation formula of the chiller is as follows: where n z is the cooling efficiency of the chiller, W z is the input power of the chiller, Z COP is the energy efficiency ratio of the chiller; W z With Z COP The multiplication is the cooling capacity of the chiller. The cooling capacity of the chiller cannot be fully applied to the cooling water. The formula for determining the cooling water outlet temperature is as follows: Where Z T0 Indicates whether the cooling water outlet temperature is less than or equal to the cooling water supply temperature setting value. T0=1, which means that the cooling water outlet temperature is less than or equal to the cooling water supply temperature setting value, meeting the cooling water outlet temperature requirement. T0 =0, which means that the cooling water outlet temperature is greater than the cooling water supply temperature setting value, and does not meet the cooling water outlet temperature requirement, which will cause the cooling capacity of the cooling system to decrease, thereby causing the temperature of the data center to increase; T Z is the set value of the cooling water supply temperature; the water cooling refrigeration power calculation formula, refrigeration efficiency calculation formula and discrimination formula of the chiller are marked as the mathematical model of the chiller; the main components of the chiller include compressor, evaporator, expansion valve and evaporative cooling condenser. The main function is to provide cooling water for the heat exchanger. The chiller is one of the main cold sources of the magnetic levitation phase change cooling system.

[0081] Establish a mathematical model of the cooling tower: Calculate the cooling tower's heat dissipation power and cooling water evaporation rate based on the cooling tower status information. The heat dissipation power calculation formula is as follows: Q a0 =m a02 *C0*(T a0j -T a0i ), where Q a0 is the cooling water heat dissipation power of the cooling tower, m a02 is the cooling water outlet mass flow rate of the cooling tower, T a0j is the cooling water inlet temperature of the cooling tower, T a0i is the cooling water outlet temperature of the cooling tower; the cooling water evaporation rate calculation formula is as follows: J a0 =m a01 -m a02 , where J a0 is the cooling water evaporation rate, m a01 is the cooling water inlet mass flow rate of the cooling tower. When the cooling water passes through the cooling tower, there will be evaporation loss. If the water volume in the cooling tower reservoir remains unchanged, the evaporation rate of the cooling water is J a0 =m a01 -m a02 , m a01 1.53kg / s, m a02 is 1.52kg / s, then when the amount of water in the cooling tower reservoir remains unchanged, the evaporation rate of cooling water is J a0 =1.53kg / s-1.52kg / s=0.01kg / s; The cooling tower's heat dissipation power calculation formula and the cooling water evaporation rate calculation formula are marked as the mathematical model of the cooling tower; The cooling water flowing out of the heat exchanger will first pass through the cooling tower for primary cooling, and then pass through the chiller for secondary cooling. If the cooling water temperature after the primary cooling meets the requirements, there is no need for secondary cooling; Therefore, the cooling tower can make full use of the natural cold source when the outside temperature is low, thereby saving the energy consumption of the cooling system, so the cooling tower is the core component that provides natural cooling in winter.

[0082] Establish a mathematical model of the water pump: Calculate the theoretical power and efficiency of the water pump based on the water pump status information and water cooling parameter information. The theoretical power calculation formula of the water pump is as follows: P l =H p *m p0 *SG*9.8, of which P l is the theoretical power of the water pump, H p is the lift of the water pump. The lift of the water pump refers to the height to which the water pump can lift water. In this embodiment, the lift of the water pump is 18m; m p0 is the cooling water delivery mass flow of the water pump, SG is the specific gravity of the delivery medium of the water pump; in this embodiment, the delivery medium is cooling water, and the specific gravity of cooling water is 1; the water pump efficiency calculation formula is as follows: where n p is the pump efficiency, W p is the input power of the water pump; the theoretical power calculation formula of the water pump and the water pump efficiency calculation formula are marked as the mathematical model of the water pump;

[0083] The mathematical model of the refrigeration subsystem and the mathematical model of the water cooling subsystem are marked as the cooling system mathematical model;

[0084] In the specific implementation process, because the internal processes of various devices in the cooling system are too complicated and may involve complex principles such as thermodynamics and fluid mechanics, detailed modeling of the internal processes will be too complicated and inefficient, and it will be impossible to quickly establish an accurate model to describe the cooling system. However, if the process is ignored and only the input and output are focused on, in-depth exploration of these complex principles can be avoided, making the model relatively simple. For example, in this embodiment, the cooling system only focuses on the input and output of heat, that is, the input and output values ​​of temperature; then an accurate mathematical model to describe the cooling system can be quickly established.

[0085] The system simulation module establishes a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information;

[0086] The system simulation module is configured with a system simulation strategy, which includes: selecting a corresponding graphic model on the OpenModelica platform based on the cooling system parameter information to establish a graphic model of the magnetic suspension phase change cooling system, marked as the first cooling system model; OpenModelica is an open source modeling and simulation environment based on the Modelica language; OpenModelica can provide users with a graphical modeling environment; and can realize complex magnetic suspension phase change cooling system modeling and simulation;

[0087] Based on the Modelica standard library, the mathematical model of the cooling system is inserted into the corresponding graphic model in the first cooling system model by using the Modelica programming language to obtain the second cooling system model.

[0088] The monitored cooling system status information is connected with the cooling system mathematical model under the corresponding graphic model in the second cooling system model, that is, the obtained cooling system status information can be transmitted to the second cooling system model in real time and displayed; the third cooling system model is obtained; the sampling interval is set, and in this embodiment, the sampling interval is 100s, that is, the cooling system status information is obtained once every 100s; the third cooling system model is run, and the cooling system status information and the calculation results of the cooling system mathematical model are displayed in real time in the third cooling system model;

[0089] In practice, there are two broad approaches to modeling and simulating physical systems: causal modeling and non-causal modeling. In causal models, the output variables of the model are explicitly represented by the input variables, and the direction of information flow in the model is obvious. Specifically, such models are usually represented by system signal flow block diagrams. However, causal modeling cannot effectively model large-scale complex systems. This has led to the development of non-causal modeling methods. Currently, the most widely used language for non-causal modeling is Modelica. It can establish the physical processes of complex systems by using mathematical equations to describe various subsystems in different fields.

[0090] Example 2, please refer to Figure 2 As shown, in a second aspect, the present application provides a modeling method for a magnetic suspension phase change cooling system for a data center, comprising the following steps:

[0091] Step S1, obtaining basic parameter data of the magnetic suspension phase change cooling system, marked as cooling system parameter information; Step S1 includes the following sub-steps:

[0092] Step S101, dividing the magnetic suspension phase change cooling system into a refrigeration subsystem and a water cooling subsystem, the refrigeration subsystem includes a magnetic suspension compressor, a heat exchanger and a precision air conditioner; the water cooling subsystem includes a chiller, a cooling tower and a water pump;

[0093] Step S102, obtaining basic parameters of the refrigeration subsystem: obtaining technical parameters and appearance information of the magnetic levitation compressor, heat exchanger and precision air conditioner, and obtaining the refrigerant type and parameter information of the magnetic levitation compressor and heat exchanger. After completion, the obtained basic parameters of the refrigeration subsystem are marked as refrigeration parameter information;

[0094] Step S103, obtaining basic parameters of the water cooling subsystem: technical parameters and appearance information of the chiller, cooling tower, water pump, and valve, marked as water cooling parameter information;

[0095] Step S104: marking the refrigeration parameter information and the water cooling parameter information as cooling system parameter information.

[0096] Step S2, monitoring the operating state of the magnetic suspension phase change cooling system to obtain cooling system state information; Step S2 includes the following sub-steps:

[0097] Step S201, monitoring the operating status of the refrigeration subsystem: Step S201 includes the following sub-steps:

[0098] Step S2011, monitoring and recording the refrigerant flow and input power of the magnetic suspension compressor, and marking them as compressor status information;

[0099] Step S2012, monitor and record the cooling water mass flow rate, cold side water inlet temperature, hot side water outlet temperature, cold side refrigerant flow rate, hot side refrigerant inlet temperature and cold side refrigerant outlet temperature of the heat exchanger, and mark them as heat exchanger status information;

[0100] Step S2013, monitoring and recording the input power, air inlet temperature, air outlet temperature, refrigerant inlet temperature, refrigerant outlet temperature, air mass flow rate and refrigerant mass flow rate of the precision air conditioner, and marking them as air conditioner status information;

[0101] Step S2014: marking the compressor status information, the heat exchanger status information and the air conditioning status information as refrigeration operation status information.

[0102] Step S202, monitoring the operating status of the water cooling subsystem: Step S202 includes the following sub-steps:

[0103] Step S2021, monitor and record the chiller input power, cooling water supply temperature setting value, cooling water inlet temperature, cooling water outlet temperature and cooling water mass flow rate of the chiller, and mark them as chiller status information;

[0104] Step S2022, monitor and record the input power of the cooling tower, the air mass flow rate, the air inlet temperature and the air outlet temperature, the cooling water inlet mass flow rate and the cooling water outlet mass flow rate, the cooling water inlet temperature and the cooling water outlet temperature, and mark them as cooling tower status information;

[0105] Step S2023, monitoring and recording the input power of the water pump, the cooling water delivery mass flow rate, and the specific gravity of the delivery medium, and marking them as water pump status information;

[0106] Step S2024, marking the chiller status information, cooling tower status information and water pump status information as cooling status information;

[0107] Step S203: Mark the refrigeration status information and the cooling status information as cooling system status information.

[0108] Step S3, based on the cooling system parameter information and the cooling system state information, establish a mathematical model of the magnetic suspension phase change cooling system, and obtain the cooling system mathematical model after completion; Step S3 includes the following sub-steps:

[0109] Step S301, establishing a mathematical model of the refrigeration subsystem, including establishing a mathematical model of the heat exchanger and establishing a mathematical model of the precision air conditioner; Step S301 includes the following sub-steps:

[0110] Step S3011, establish a mathematical model of the heat exchanger: calculate the cooling water heat absorption power, refrigerant heat dissipation power and heat exchanger conversion efficiency in the heat exchanger based on the heat exchanger state information; the cooling water heat absorption power calculation formula is as follows: Q h0 =m h0 *C0*(T h0j -T h0i ), where Q h0 is the cooling water heat absorption power of the heat exchanger, m h0 is the cooling water mass flow rate of the heat exchanger, T h0j is the outlet water temperature on the hot side of the heat exchanger, T h0i is the cold side water inlet temperature of the heat exchanger, C0 is the specific heat capacity of cooling water; the refrigerant heat dissipation power calculation formula is as follows: Q hr =m hr *C r *(T hrj -T hri ), where Q hr is the refrigerant heat dissipation power of the heat exchanger, m hr is the refrigerant flow rate on the cold side of the heat exchanger, T hrj is the refrigerant temperature on the hot side of the heat exchanger, T hri The refrigerant temperature of the heat exchanger is measured, C r is the specific heat capacity of the refrigerant; the heat exchanger conversion efficiency calculation formula is as follows: n h is the heat exchanger conversion efficiency; the heat exchanger cooling water heat absorption power calculation formula, the refrigerant heat dissipation power calculation formula and the heat exchanger conversion efficiency formula are marked as the mathematical model of the heat exchanger;

[0111] Step S3012, establish a mathematical model of the precision air conditioner: calculate the theoretical cooling power, actual cooling power and precision air conditioner cooling efficiency based on the precision air conditioner state information; the theoretical cooling power calculation formula is as follows: Q kr =m kr *C r *(T krj -T kri ), where Qkr is the theoretical cooling power of precision air conditioning, m kr is the refrigerant mass flow rate of precision air conditioning, T kri is the refrigerant outlet temperature of precision air conditioning, T krj The refrigerant inlet temperature of precision air conditioner; the actual cooling power calculation formula is as follows: Q k1 =m1*C1*(T k1j -T k1i ), where Q k1 is the actual cooling power of the precision air conditioner, m k1 is the cooling water mass flow rate of precision air conditioning, T k1i is the cooling water inlet temperature of the precision air conditioner, T k1j The cooling water outlet temperature of the precision air conditioner, C1 is the specific heat capacity of the air; the precision air conditioner refrigeration efficiency calculation formula is as follows: n k is the refrigeration efficiency of the precision air conditioner; the theoretical refrigeration power calculation formula of the precision air conditioner, the actual refrigeration power calculation formula and the refrigeration efficiency of the precision air conditioner are marked as the mathematical model of the precision air conditioner.

[0112] Step S302, establishing a mathematical model of the water cooling subsystem; Step S302 includes the following sub-steps:

[0113] Step S3021, establish a mathematical model of the water-cooling host: calculate the water-cooling refrigeration power and refrigeration efficiency of the water-cooling host based on the water-cooling host status information and water-cooling parameter information, and judge the cooling water outlet temperature; the water-cooling refrigeration power calculation formula is as follows: Q z0 =m z0 *C0*(T z0j -T z0i ), where Q z0 is the cooling water heat absorption power of the chiller, m z0 is the cooling water mass flow rate of the chiller, T z0j is the cooling water inlet temperature of the chiller, T z0i is the cooling water outlet temperature of the chiller; the cooling efficiency calculation formula of the chiller is as follows: where n z is the cooling efficiency of the chiller, W z is the input power of the chiller, Z COP is the energy efficiency ratio of the chiller; the formula for judging the cooling water outlet temperature is as follows: Where Z T0 Indicates whether the cooling water outlet temperature is less than or equal to the cooling water supply temperature setting value, T Z is the set value of the cooling water supply temperature; the water cooling refrigeration power calculation formula, refrigeration efficiency calculation formula and discrimination formula of the chiller are marked as the mathematical model of the chiller;

[0114] Step S3022, establish a mathematical model of the cooling tower: calculate the cooling tower's heat dissipation power and cooling water evaporation rate based on the cooling tower status information. The heat dissipation power calculation formula is as follows: Q a0 =m a02 *C0*(T a0j -T a0i ), where Q a0 is the cooling water heat dissipation power of the cooling tower, m a02 is the cooling water outlet mass flow rate of the cooling tower, T a0j is the cooling water inlet temperature of the cooling tower, T a0i is the cooling water outlet temperature of the cooling tower; the cooling water evaporation rate calculation formula is as follows: J a0 =m a01 -m a02 , where J a0 is the cooling water evaporation rate, m a01 is the cooling water inlet mass flow rate of the cooling tower; the cooling tower heat dissipation power calculation formula and the cooling water evaporation rate calculation formula are marked as the mathematical model of the cooling tower;

[0115] Step S3023, establish a mathematical model of the water pump: calculate the theoretical power and efficiency of the water pump based on the water pump status information and water cooling parameter information. The theoretical power calculation formula of the water pump is as follows: l =H p *m p0 *SG*9.8, of which P l is the theoretical power of the water pump, H p is the head of the pump, m p0 is the cooling water delivery mass flow of the water pump, SG is the specific gravity of the delivery medium of the water pump; the water pump efficiency calculation formula is as follows: where n p is the pump efficiency, W p is the input power of the water pump; the theoretical power calculation formula of the water pump and the water pump efficiency calculation formula are marked as the mathematical model of the water pump;

[0116] Step S303: marking the mathematical model of the refrigeration subsystem and the mathematical model of the water cooling subsystem as a cooling system mathematical model.

[0117] Step S4, establishing a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information; Step S4 includes the following sub-steps:

[0118] Step S401, selecting a corresponding graphic model on the OpenModelica platform based on the cooling system parameter information to establish a graphic model of the magnetic suspension phase change cooling system, marked as a first cooling system model;

[0119] Step S402, based on the Modelica standard library, using the Modelica programming language, inserting the cooling system mathematical model into the corresponding graphical model in the first cooling system model to obtain a second cooling system model;

[0120] Step S403, connecting the monitored cooling system status information with the cooling system mathematical model under the corresponding graphic model in the second cooling system model to obtain a third cooling system model; setting a sampling interval, running the third cooling system model, and displaying the cooling system status information and the calculation results of the cooling system mathematical model in real time in the third cooling system model.

[0121] Example 3, please refer to Figure 5 As shown, Figure 5 The structural schematic diagram of an electronic device is illustrated, and the electronic device may include: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, the steps in a modeling method for a magnetic suspension phase change cooling system for a data center are executed to achieve the following functions: obtaining basic parameter data of the magnetic suspension phase change cooling system, marked as cooling system parameter information; monitoring the operating state of the magnetic suspension phase change cooling system to obtain cooling system state information; establishing a mathematical model of the magnetic suspension phase change cooling system based on the cooling system parameter information and the cooling system state information, and obtaining a cooling system mathematical model after completion; establishing a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information.

[0122] In addition, the logic instructions in the above-mentioned memory can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art, and the computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk.

[0123] Embodiment 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the modeling method of a magnetic levitation phase change cooling system for a data center are executed to achieve the following functions: obtaining basic parameter data of the magnetic levitation phase change cooling system, marked as cooling system parameter information; monitoring the operating status of the magnetic levitation phase change cooling system to obtain cooling system status information; establishing a mathematical model of the magnetic levitation phase change cooling system based on the cooling system parameter information and the cooling system status information, and obtaining a cooling system mathematical model after completion; establishing a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system status information.

[0124] Through the description of the above implementation methods, the embodiments of the present invention can be provided as methods, systems or computer program products. Based on such an understanding, the above technical solutions can be essentially or partly contributed to the prior art in the form of software products, which can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and include several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0125] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A modeling method for a magnetic suspension phase change cooling system for a data center, characterized in that: The steps include: Obtain basic parameter data of the magnetic suspension phase change cooling system, marked as cooling system parameter information; Monitor the operating status of the magnetic suspension phase change cooling system to obtain cooling system status information; Based on the cooling system parameter information and cooling system state information, a mathematical model of the magnetic suspension phase change cooling system is established, and after completion, a mathematical model of the cooling system is obtained; A simulation model of the cooling system is established based on the cooling system parameter information, the cooling system mathematical model and the cooling system status information.

2. According to claim 1, a modeling method for a magnetic suspension phase change cooling system for a data center is characterized in that: Obtaining basic parameter data of the magnetic suspension phase change cooling system, marked as cooling system parameter information, includes the following sub-steps: The magnetic suspension phase change cooling system is divided into a refrigeration subsystem and a water cooling subsystem. The refrigeration subsystem includes a magnetic suspension compressor, a heat exchanger and a precision air conditioner; the water cooling subsystem includes a chiller, a cooling tower and a water pump; Obtain the basic parameters of the refrigeration subsystem: obtain the technical parameters and appearance information of the magnetic levitation compressor, heat exchanger and precision air conditioner, and obtain the refrigerant type and refrigerant parameter information of the magnetic levitation compressor and heat exchanger. After completion, mark the obtained basic parameters of the refrigeration subsystem as refrigeration parameter information; Get the basic parameters of the water cooling subsystem: technical parameters and appearance information of the chiller, cooling tower, water pump, and valve, marked as water cooling parameter information; The refrigeration parameter information and the water cooling parameter information are marked as cooling system parameter information.

3. The modeling method of a magnetic suspension phase change cooling system for a data center according to claim 2 is characterized in that: Monitoring the operating status of the magnetic suspension phase change cooling system to obtain cooling system status information includes the following sub-steps: Monitor the operating status of the refrigeration subsystem: Monitor and record the refrigerant flow and input power of the magnetic suspension compressor, marking it as compressor status information; Monitor and record the cooling water mass flow rate, cold side inlet water temperature, hot side outlet water temperature, cold side refrigerant flow rate, hot side inlet refrigerant temperature and cold measured refrigerant temperature of the heat exchanger, and mark them as heat exchanger status information; Monitor and record the input power, air inlet temperature, air outlet temperature, refrigerant inlet temperature, refrigerant outlet temperature, air mass flow rate and refrigerant mass flow rate of the precision air conditioner, and mark them as air conditioner status information; The compressor status information, the heat exchanger status information and the air conditioning status information are marked as refrigeration operation status information.

4. The modeling method of a magnetic suspension phase change cooling system for a data center according to claim 3 is characterized in that: Monitoring the operating status of the magnetic suspension phase change cooling system also includes the following sub-steps: Monitor the operating status of the water cooling subsystem: Monitor and record the chiller input power, cooling water supply temperature setting value, cooling water inlet temperature, cooling water outlet temperature and cooling water mass flow rate of the chiller, and mark them as chiller status information; Monitor and record the input power of the cooling tower, air mass flow rate, air inlet temperature and air outlet temperature, cooling water inlet mass flow and cooling water outlet mass flow, cooling water inlet temperature and cooling water outlet temperature, and mark them as cooling tower status information; Monitor and record the input power of the water pump, the cooling water delivery mass flow rate and the specific gravity of the delivery medium, and mark them as water pump status information; Marking the chiller status information, cooling tower status information and water pump status information as cooling status information; The refrigeration status information and the cooling status information are marked as cooling system status information.

5. The modeling method of a magnetic suspension phase change cooling system for a data center according to claim 4 is characterized in that: Based on the cooling system parameter information and cooling system state information, a mathematical model of the magnetic suspension phase change cooling system is established. After completion, the mathematical model of the cooling system includes the following sub-steps: Establish mathematical models of the refrigeration subsystem, including mathematical models of the heat exchanger and mathematical models of precision air conditioning; Establish a mathematical model of the heat exchanger: Calculate the cooling water heat absorption power, refrigerant heat dissipation power and heat exchanger conversion efficiency in the heat exchanger based on the heat exchanger status information; the cooling water heat absorption power calculation formula is as follows: Q h0 =m h0 *C0*(T h0j -T h0i ), where Q h0 is the cooling water heat absorption power of the heat exchanger, m h0 is the cooling water mass flow rate of the heat exchanger, T h0j is the outlet water temperature on the hot side of the heat exchanger, T h0i is the cold side water inlet temperature of the heat exchanger, C0 is the specific heat capacity of cooling water; the refrigerant heat dissipation power calculation formula is as follows: Q hr =m hr *C r *(T hrj -T hri ), where Q hr is the refrigerant heat dissipation power of the heat exchanger, m hr is the refrigerant flow rate on the cold side of the heat exchanger, T hrj is the refrigerant temperature on the hot side of the heat exchanger, T hri The refrigerant temperature of the heat exchanger is measured, C r is the specific heat capacity of the refrigerant; the heat exchanger conversion efficiency calculation formula is as follows: n h is the heat exchanger conversion efficiency; the calculation formula for the cooling water heat absorption power of the heat exchanger, the calculation formula for the refrigerant heat dissipation power and the heat exchanger conversion efficiency formula are marked as the mathematical model of the heat exchanger.

6. The modeling method of a magnetic suspension phase change cooling system for a data center according to claim 5 is characterized in that: Establishing the mathematical model of the refrigeration subsystem also includes the following sub-steps: Establish a mathematical model of precision air conditioning: Calculate the theoretical cooling power, actual cooling power and precision air conditioning cooling efficiency based on the precision air conditioning state information; the theoretical cooling power calculation formula is as follows: Q kr =m kr *C r *(T krj -T kri ), where Q kr is the theoretical cooling power of precision air conditioning, m kr is the refrigerant mass flow rate of precision air conditioning, T kri is the refrigerant outlet temperature of precision air conditioning, T krj The refrigerant inlet temperature of precision air conditioner; the actual cooling power calculation formula is as follows: Q k1 =m1*C1*(T k1j -T k1i ), where Q k1 is the actual cooling power of the precision air conditioner, m k1 is the cooling water mass flow rate of precision air conditioning, T k1i is the cooling water inlet temperature of the precision air conditioner, T k1j The cooling water outlet temperature of the precision air conditioner, C1 is the specific heat capacity of the air; the precision air conditioner refrigeration efficiency calculation formula is as follows: n k is the refrigeration efficiency of the precision air conditioner; the theoretical refrigeration power calculation formula of the precision air conditioner, the actual refrigeration power calculation formula and the refrigeration efficiency of the precision air conditioner are marked as the mathematical model of the precision air conditioner.

7. The modeling method of a magnetic suspension phase change cooling system for a data center according to claim 6 is characterized in that: The mathematical model of the water cooling subsystem is established in the following steps: Establish a mathematical model of the chiller: Calculate the water cooling power and cooling efficiency of the water cooling host based on the status information of the chiller and the water cooling parameter information, and judge the cooling water outlet temperature; the water cooling power calculation formula is as follows: Q z0 =m z0 *C0*(T z0j -T z0i ), where Q z0 is the cooling water heat absorption power of the chiller, m z0 is the cooling water mass flow rate of the chiller, T z0j is the cooling water inlet temperature of the chiller, T z0i is the outlet temperature of cooling water of the chiller; the cooling efficiency calculation formula of the chiller is as follows: where n z is the cooling efficiency of the chiller, W z is the input power of the chiller, Z COP is the energy efficiency ratio of the chiller; the formula for judging the cooling water outlet temperature is as follows: Where Z T0 Indicates whether the cooling water outlet temperature is less than or equal to the cooling water supply temperature setting value, T Z is the set value of the cooling water supply temperature; the water cooling refrigeration power calculation formula, refrigeration efficiency calculation formula and discrimination formula of the chiller are marked as the mathematical model of the chiller; Establish a mathematical model of the cooling tower: Calculate the cooling tower's heat dissipation power and cooling water evaporation rate based on the cooling tower status information. The heat dissipation power calculation formula is as follows: Q a0 =m a02 *C0*(T a0j -T a0i ), where Q a0 is the cooling water heat dissipation power of the cooling tower, m a02 is the cooling water outlet mass flow rate of the cooling tower, T a0j is the cooling water inlet temperature of the cooling tower, T a0i is the cooling water outlet temperature of the cooling tower; the cooling water evaporation rate calculation formula is as follows: J a0 =m a01 -m a02 , where J a0 is the cooling water evaporation rate, m a01 is the cooling water inlet mass flow rate of the cooling tower; The cooling tower heat dissipation power calculation formula and cooling water evaporation rate calculation formula are marked as the mathematical model of the cooling tower; Establish a mathematical model of the water pump: Calculate the theoretical power and efficiency of the water pump based on the water pump status information and water cooling parameter information. The theoretical power calculation formula of the water pump is as follows: P l =H p *m p0 *SG*9.8, of which P l is the theoretical power of the water pump, H p is the head of the pump, m p0 is the cooling water delivery mass flow of the water pump, SG is the specific gravity of the delivery medium of the water pump; the water pump efficiency calculation formula is as follows: where n p is the pump efficiency, W p is the input power of the water pump; the theoretical power calculation formula of the water pump and the water pump efficiency calculation formula are marked as the mathematical model of the water pump; The mathematical model of the refrigeration subsystem and the mathematical model of the water cooling subsystem are marked as the cooling system mathematical model.

8. The modeling method of a magnetic suspension phase change cooling system for a data center according to claim 7, characterized in that: Establishing a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information includes the following sub-steps: Based on the cooling system parameter information, a corresponding graphic model is selected on the OpenModelica platform to establish a graphic model of the magnetic suspension phase change cooling system, which is marked as the first cooling system model; Based on the Modelica standard library, the mathematical model of the cooling system is inserted into the corresponding graphic model in the first cooling system model by using the Modelica programming language to obtain the second cooling system model.

9. The modeling method of a magnetic suspension phase change cooling system for a data center according to claim 8, characterized in that: Connecting the monitored cooling system status information with the corresponding variables in the cooling system mathematical model also includes the following sub-steps: The monitored cooling system status information is connected with the cooling system mathematical model under the corresponding graphic model in the second cooling system model to obtain a third cooling system model; a sampling interval is set, the third cooling system model is run, and the cooling system status information and the calculation results of the cooling system mathematical model are displayed in real time in the third cooling system model.

10. A modeling system for a magnetic suspension phase change cooling system for a data center, applicable to a modeling method for a magnetic suspension phase change cooling system for a data center as claimed in any one of claims 1 to 9, characterized in that: It includes parameter acquisition module, system monitoring module, mathematical establishment module and system simulation module; The parameter acquisition module is used to obtain basic parameter data of the magnetic suspension phase change cooling system, which is marked as cooling system parameter information; The system monitoring module is used to monitor the operating status of the magnetic suspension phase change cooling system to obtain cooling system status information; The mathematical establishment module establishes a mathematical model of the magnetic suspension phase change cooling system based on the cooling system parameter information and the cooling system state information, and obtains the cooling system mathematical model after completion; The system simulation module establishes a simulation model of the cooling system based on the cooling system parameter information, the cooling system mathematical model and the cooling system state information.

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