Multi-dimensional coupled data center refrigeration system simulation construction method and device

Abstract

The invention provides a multi-dimensional coupled data center refrigeration system simulation construction method and device, and relates to the technical field of data center energy saving. The method comprises the steps of selecting a component model of a system based on an actual data center refrigeration system structure; constructing a one-dimensional refrigeration system simulation model of the data center according to an actual refrigeration system topological structure; actual measurement parameter data of an actual data center refrigeration system are obtained, and the accuracy of the one-dimensional refrigeration system simulation model is verified; the method comprises the following steps: acquiring equipment parameter data of an actual machine room, and constructing a three-dimensional modeling simulation model of the data center machine room through three-dimensional CFD simulation software; verifying the accuracy of the machine room three-dimensional modeling simulation model based on the temperature and the flow obtained by the actual machine room test; and according to the one-dimensional refrigeration system simulation model and the machine room three-dimensional modeling simulation model, a data center multi-dimensional coupling simulation platform is constructed. By adopting the method, the problem of limitation of single-dimensional simulation of the refrigeration system of the data center can be solved.

Description

Technical Field

[0001] The present invention relates to the field of data center energy-saving technology, and in particular to a method and device for constructing a multi-dimensional coupled data center refrigeration system simulation. Background Art

[0002] Data centers, as core infrastructure hosting servers, storage, and network equipment, continue to expand in scale amidst the wave of digitalization. Their high-density computing power generates enormous amounts of heat, resulting in cooling systems accounting for as much as 37% of energy consumption, becoming the second largest energy consumer after IT equipment. With the widespread adoption of intelligent computing technology and hardware upgrades, the power consumption of a single rack has surged from 1.5kW to 15kW. The proportion of electricity consumed by data centers nationwide has increased from 1.0% of total electricity consumption in 2009 to over 5.0% in 2024. To address this energy challenge, new large-scale data centers are required to reduce their Power Use Effectiveness (PUE) from 1.5 to below 1.3 by 2025. This requires promoting cooling system optimization and green technology innovation to achieve a dynamic balance between computing power growth and carbon neutrality goals. To achieve this energy consumption control, AI and big data technologies are needed to fine-tune and control cooling equipment. This process often requires extensive data support. Due to the limited availability of actual operational and maintenance data and its significant limitations, simulation of data center cooling systems has become the primary means of acquiring this data. Furthermore, due to experimental limitations, some phenomena cannot be fully captured when studying the overall performance of data center cooling systems and the thermal characteristics of computer rooms. Therefore, simulations of both the data center cooling system and the computer room are necessary to investigate potential phenomena within the cooling system and the computer room. Traditional data center cooling system simulation methods have the following shortcomings: ① One-dimensional data center cooling system models struggle to capture localized overheating and airflow uniformity caused by uneven heat and cold distribution within the computer room; ② Three-dimensional computer room CFD simulations cannot capture the energy consumption of the entire cooling system, nor can they capture the system-level energy consumption characteristics of each cooling system component. Summary of the Invention

[0003] To address the existing technical issues of one-dimensional data center cooling system models failing to reflect local overheating and airflow uniformity caused by uneven heat and cold distribution within the computer room, and the inability of three-dimensional computer room CFD simulations to capture the energy consumption of the entire cooling system, as well as the inability to capture the energy consumption system-level characteristics of each cooling system component, the present invention provides a multi-dimensional coupled data center cooling system simulation construction method and apparatus. The technical solution is as follows:

[0004] In one aspect, a multi-dimensional coupled data center cooling system simulation construction method is provided. The method is implemented by a multi-dimensional coupled data center cooling system simulation construction device, and the method includes:

[0005] S1. Based on the actual data center cooling system structure, select a component model of the system; define the component model parameters based on the actual parameters according to the component model, and construct an initial one-dimensional data center cooling system simulation model based on the actual cooling system topology;

[0006] S2. Obtaining measured parameter data of an actual data center cooling system, and verifying the accuracy of an initial one-dimensional data center cooling system simulation model based on the measured parameter data of the actual data center cooling system to obtain a one-dimensional data center cooling system simulation model;

[0007] S3. Obtain the infrastructure parameters of the actual data center computer room and construct an initial 3D model of the computer room using 3D CFD simulation software;

[0008] S4. Based on the temperature and flow obtained from the test at the same location of the actual data center computer room, the accuracy of the initial three-dimensional modeling simulation model of the computer room is verified to obtain a three-dimensional modeling simulation model of the data center computer room;

[0009] S5. Based on the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room, a multi-dimensional coupled simulation platform of the data center is constructed.

[0010] Optionally, S1 selects a component model of the system based on an actual data center cooling system structure; defines component model parameters based on the component model and actual parameters, and constructs an initial one-dimensional data center cooling system simulation model based on the actual cooling system topology, including:

[0011] S11. Based on the actual data center cooling system configuration, select the thermodynamic models of the compressor, evaporator, and cooling tower core components from the standard model library of the one-dimensional simulation platform;

[0012] S12. Input the static parameters of the equipment for each component in turn according to the actual standard parameters of each component;

[0013] S13. Connect the components according to the actual refrigeration cycle process, set the environmental boundary conditions and load values, and build an initial one-dimensional data center refrigeration system simulation model.

[0014] Optionally, the step S2 of obtaining measured parameter data of an actual data center cooling system, verifying the accuracy of an initial one-dimensional data center cooling system simulation model based on the measured parameter data of the actual data center cooling system, and obtaining the one-dimensional data center cooling system simulation model includes:

[0015] S21. Obtaining measured parameter data of an actual data center cooling system, and performing standardization processing on the measured parameter data to obtain standardized parameter data;

[0016] S22. Based on the same working conditions as those measured on site, run a one-dimensional refrigeration system simulation model of the data center and output simulation parameter data;

[0017] S23. Compare the root mean square error of the standardized parameter data with the simulated parameter data. If the root mean square error is not within the preset allowable range, return to step S1 to iteratively adjust the parameters until the error converges to the preset allowable range, thereby completing the accuracy verification of the one-dimensional refrigeration system simulation model of the data center and obtaining the one-dimensional refrigeration system simulation model of the data center.

[0018] Optionally, the step S3 of obtaining infrastructure parameters of an actual data center computer room and constructing a three-dimensional CFD simulation model using three-dimensional CFD simulation software includes:

[0019] S31. Based on the actual computer room architectural drawings, use 3D CFD simulation software to build a 3D modeling simulation model of the data center computer room;

[0020] S32. Perform local mesh encryption in high-speed airflow areas, heat exchange critical areas, and geometrically complex areas. Divide the encrypted mesh, perform mesh independence testing, and select the number of meshes.

[0021] S33. Based on the grid division, run the three-dimensional modeling simulation model of the data center computer room, calculate by using the Realizable k-ε turbulence model and the pressure-based transient solver, and output the simulation data of the temperature field, velocity field and pressure field.

[0022] Optionally, the step S4 verifies the accuracy of the initial three-dimensional modeling simulation model of the computer room based on the temperature and flow obtained from the test at the same location of the actual data center computer room to obtain the three-dimensional modeling simulation model of the data center computer room, including:

[0023] S41. Deploy temperature sensors and wind speed sensors in the equipment room; collect environmental temperature, humidity, and flow data through the temperature sensors and wind speed sensors; filter the collected data to obtain standardized measured data;

[0024] S42. Based on the same working conditions as those measured on site, run the three-dimensional modeling simulation model of the data center computer room and output simulation data;

[0025] S43. Match the simulated data with the standardized measured data in spatial position, calculate the root mean square error between the simulated data and the standardized measured data, and compare the root mean square error with the preset error. If it does not meet the preset error requirements, correct the parameters of the three-dimensional modeling simulation model of the data center computer room and re-simulate until all monitoring points are within the preset error range.

[0026] Optionally, the step S5 constructs a multi-dimensional coupled simulation platform for the data center based on the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room, including:

[0027] S51, parallel simulation of the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room to obtain refrigeration system-level energy efficiency data and three-dimensional computer room thermal performance data;

[0028] S52, using the cooling capacity, chilled water temperature, and flow rate output by the one-dimensional data center refrigeration system simulation model as boundary conditions of the three-dimensional modeling simulation model of the data center computer room, and reversely adjusting the one-dimensional data center refrigeration system simulation model based on the heat load distribution and hot spot location performance parameters fed back by the three-dimensional modeling simulation model of the data center computer room;

[0029] S53. Design a closed-loop iterative mechanism. Based on the closed-loop iterative mechanism, optimize the cooling capacity, chilled water temperature, and flow parameters of the refrigeration system to reduce overall energy consumption. Optimize the temperature uniformity within the computer room and eliminate local overheating areas through the heat load distribution data and hotspot location data fed back from the computer room. Build a multi-dimensional coupled simulation platform for the data center through the closed-loop iterative mechanism.

[0030] On the other hand, a multi-dimensional coupled data center refrigeration system simulation construction device is provided, which is applied to a multi-dimensional coupled data center refrigeration system simulation construction method, and the device includes:

[0031] The first construction unit is configured to select a component model of the system based on an actual data center cooling system structure; define component model parameters based on the component model and actual parameters, and construct an initial one-dimensional data center cooling system simulation model based on the actual cooling system topology;

[0032] A first acquisition unit is configured to acquire measured parameter data of an actual data center cooling system, verify the accuracy of an initial one-dimensional data center cooling system simulation model based on the measured parameter data of the actual data center cooling system, and obtain the one-dimensional data center cooling system simulation model;

[0033] The second construction unit is used to obtain the infrastructure parameters of the actual data center computer room and construct an initial three-dimensional modeling simulation model of the computer room using three-dimensional CFD simulation software;

[0034] The second acquisition unit is used to verify the accuracy of the initial three-dimensional modeling simulation model of the computer room based on the temperature and flow obtained from the test at the same position of the actual data center computer room, and obtain the three-dimensional modeling simulation model of the data center computer room;

[0035] The third construction unit is used to construct a multi-dimensional coupled simulation platform of the data center based on the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room.

[0036] Optionally, the first building unit is used to:

[0037] Based on the actual data center cooling system configuration, the thermodynamic models of the compressor, evaporator, and cooling tower core components were selected from the standard model library of the one-dimensional simulation platform;

[0038] According to the actual standard parameters of each component, input the static parameters of the equipment for each component in turn;

[0039] Connect the components according to the actual refrigeration cycle process, set the environmental boundary conditions and load values, and build an initial one-dimensional data center cooling system simulation model.

[0040] Optionally, the first acquiring unit is configured to:

[0041] Obtaining actual measured parameter data of the cooling system of an actual data center, and performing standardization processing on the measured parameter data to obtain standardized parameter data;

[0042] Based on the same working conditions as the on-site measurements, run the one-dimensional cooling system simulation model of the data center and output the simulated parameter data;

[0043] Compare the root mean square error of the standardized parameter data with the simulated parameter data. If the root mean square error is not within the preset allowable range, return to step S1 to iteratively adjust the parameters until the error converges to the preset allowable range, complete the accuracy verification of the one-dimensional refrigeration system simulation model of the data center, and obtain the one-dimensional refrigeration system simulation model of the data center.

[0044] Optionally, the second acquiring unit is configured to:

[0045] Based on the actual computer room architectural drawings, a 3D modeling simulation model of the data center computer room is constructed using 3D CFD simulation software;

[0046] Perform local mesh encryption in high-speed airflow areas, heat exchange critical areas, and geometrically complex areas, divide the encrypted mesh, and select the number of meshes through mesh independence testing;

[0047] Based on grid division, the three-dimensional modeling simulation model of the data center computer room is run. The Realizable k-ε turbulence model and pressure-based transient solver are used for calculation to output simulation data of temperature field, velocity field and pressure field.

[0048] Optionally, the second acquiring unit is configured to:

[0049] Deploy temperature sensors and wind speed sensors in the equipment room to collect ambient temperature, humidity, and flow data. Filter the collected data to obtain standardized measured data.

[0050] Based on the same working conditions as on-site measurements, run the 3D modeling simulation of the data center room and output simulation data;

[0051] The simulation data is spatially matched with the standardized measured data, and the root mean square error between the simulation data and the standardized measured data is calculated. The root mean square error is compared with the preset error. If it does not meet the preset error requirements, the parameters of the 3D modeling simulation model of the data center computer room are corrected and re-simulated until all monitoring points are within the preset error range.

[0052] Optionally, the third building block is used to:

[0053] The one-dimensional data center cooling system simulation model and the three-dimensional data center room simulation model are simulated in parallel to obtain cooling system-level energy efficiency data and three-dimensional room thermal performance data;

[0054] The cooling capacity, chilled water temperature, and flow rate output by the one-dimensional data center cooling system simulation model are used as boundary conditions for the three-dimensional modeling simulation model of the data center computer room. Based on the heat load distribution and hotspot location performance parameters fed back by the three-dimensional modeling simulation model of the data center computer room, the one-dimensional data center cooling system simulation model is adjusted inversely.

[0055] Design a closed-loop iterative mechanism; based on this mechanism, optimize the cooling capacity, chilled water temperature, and flow parameters of the refrigeration system to reduce overall energy consumption; optimize the temperature uniformity within the computer room and eliminate local overheating areas through feedback from the heat load distribution data and hotspot location data; and build a multi-dimensional coupled simulation platform for the data center through this closed-loop iterative mechanism.

[0056] On the other hand, a multi-dimensionally coupled data center refrigeration system simulation construction device is provided, and the multi-dimensionally coupled data center refrigeration system simulation construction device includes: a processor; a memory, and the memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, any one of the above-mentioned multi-dimensionally coupled data center refrigeration system simulation construction methods is implemented.

[0057] On the other hand, a computer-readable storage medium is provided, wherein the storage medium stores at least one instruction, and the at least one instruction is loaded and executed by a processor to implement any one of the above-mentioned multi-dimensional coupled data center cooling system simulation construction methods.

[0058] The beneficial effects brought about by the technical solution provided by the embodiment of the present invention include at least:

[0059] The embodiment of the present invention first selects a component model of the system based on the actual data center cooling system structure; according to the component model, the component model parameters are defined based on the actual parameters, and according to the actual cooling system topology, an initial one-dimensional data center cooling system simulation model is constructed; secondly, the measured parameter data of the actual data center cooling system is obtained, and the accuracy of the initial one-dimensional data center cooling system simulation model is verified based on the measured parameter data of the actual data center cooling system to obtain the one-dimensional data center cooling system simulation model; the infrastructure parameters of the actual data center computer room are obtained, and an initial three-dimensional modeling simulation model of the computer room is constructed through three-dimensional CFD simulation software, and the accuracy of the initial three-dimensional modeling simulation model of the computer room is verified based on the temperature and flow obtained from the test at the same position of the actual computer room to obtain the three-dimensional modeling simulation model of the data center computer room; finally, a multi-dimensional coupled simulation platform of the data center is constructed based on the one-dimensional data center cooling system simulation model and the three-dimensional modeling simulation model of the data center computer room.

[0060] The embodiment of the present invention can solve the limitation problem of single-dimensional simulation of data center cooling system. The embodiment of the present invention obtains a large amount of reliable energy consumption, temperature and overall system energy consumption simulation data of each component of the cooling system by constructing an accurate and reliable one-dimensional simulation model of the data center cooling system, providing a high-fidelity data basis for equipment performance evaluation and energy efficiency optimization; the embodiment of the present invention obtains the global thermal environment characteristics of the actual room by constructing a three-dimensional modeling simulation model of the data center computer room, and accurately analyzes the location of local hot spots and temperature gradient distribution, providing a quantitative basis for spatial thermal performance for airflow organization optimization and heat dissipation strategy formulation; the embodiment of the present invention establishes a coupled simulation platform of the one-dimensional cooling system simulation model and the three-dimensional modeling simulation model of the data center computer room, and synchronously obtains system-level energy efficiency data and space-level thermal environment data through multi-dimensional collaborative simulation, realizing closed-loop mutual feedback between equipment operation logic and computer room thermal field, and having the ability to globally analyze system-level energy consumption, temperature and computer room thermal performance of the data center cooling system. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0062] Figure 1 This is a flow chart of a multi-dimensional coupled data center cooling system simulation construction method provided by an embodiment of the present invention;

[0063] Figure 2This is a structural schematic diagram of a flow chart of a multi-dimensional coupled data center cooling system simulation method provided by an embodiment of the present invention;

[0064] Figure 3 This is a one-dimensional simulation topology diagram of a data center cooling system provided by an embodiment of the present invention;

[0065] Figure 4 This is a three-dimensional modeling simulation diagram of a data center computer room provided by an embodiment of the present invention;

[0066] Figure 5 This is a schematic diagram of a multi-dimensional coupled simulation platform based on three-dimensional modeling and simulation of a data center computer room and one-dimensional simulation of a refrigeration system, provided by an embodiment of the present invention;

[0067] Figure 6 This is a block diagram of a multi-dimensional coupled data center cooling system simulation construction device provided by an embodiment of the present invention;

[0068] Figure 7 It is a structural schematic diagram of a multi-dimensional coupled data center cooling system simulation construction device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0069] The technical solution of the present invention is described below in conjunction with the accompanying drawings.

[0070] In the embodiments of the present invention, words such as "exemplarily" and "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as an "exemplary" in the present invention should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of the word "exemplary" is intended to present concepts in a concrete manner. Furthermore, in the embodiments of the present invention, "and / or" can mean both or either of the two.

[0071] In the embodiments of the present invention, the terms "image" and "picture" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same. The terms "of," "corresponding," and "corresponding" may sometimes be used interchangeably. It should be noted that, when the distinction is not emphasized, the meanings they convey are the same.

[0072] In the embodiments of the present invention, sometimes a subscript such as W1 may be written as a non-subscript such as W1. When the difference is not emphasized, the meanings to be expressed are the same.

[0073] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, a detailed description will be given below with reference to the accompanying drawings and specific embodiments.

[0074] The embodiment of the present invention provides a multi-dimensional coupled data center refrigeration system simulation construction method, which can be implemented by a multi-dimensional coupled data center refrigeration system simulation construction device, and the multi-dimensional coupled data center refrigeration system simulation construction device can be a terminal or a server. Figure 1 The flowchart of the method for constructing a multi-dimensional coupled data center cooling system simulation is shown. The processing flow of the method may include the following steps:

[0075] S1. Based on the actual data center cooling system structure, select the system component model; based on the component model, define the component model parameters based on the actual parameters, and build the initial data center one-dimensional cooling system simulation model based on the actual cooling system topology.

[0076] Optionally, the specific implementation process of S1 includes S11-S13:

[0077] S11. Based on the actual data center cooling system configuration, select the thermodynamic models of the compressor, evaporator, and cooling tower core components from the standard model library of the one-dimensional simulation platform;

[0078] Among them, based on the actual data center cooling system equipment configuration that needs to be simulated, core component models that match the physical equipment are selected from the standard thermodynamic model library of the one-dimensional simulation platform, including compressors, evaporators, cooling towers, pumps and other components.

[0079] S12. Input the static parameters of the equipment for each component in turn according to the actual standard parameters of each component;

[0080] Among them, according to the technical specifications or measured data provided by the equipment manufacturer, the static parameters of the equipment are input into each component model, including the efficiency of the compressor, the efficiency of the pump, the heat exchange area of the evaporator, the pressure ratio, and the physical parameters of the fan power of the cooling tower.

[0081] S13. Connect the components according to the actual refrigeration cycle process, set the environmental boundary conditions and load values, and build an initial one-dimensional data center refrigeration system simulation model.

[0082] Among them, according to the physical topological structure of the actual refrigeration cycle, the models of various components are connected to construct the various sub-frames of the refrigeration system of the refrigerant cycle, chilled water cycle, and cooling water cycle system; the various sub-frames are connected to construct a one-dimensional refrigeration system simulation model of the data center; among them, according to the one-dimensional refrigeration system simulation model of the data center, environmental boundary conditions are set at the cooling tower and load conditions are set at the chilled water load.

[0083] S2. Obtain measured parameter data of an actual data center cooling system, verify the accuracy of an initial one-dimensional data center cooling system simulation model based on the measured parameter data of the actual data center cooling system, and obtain a one-dimensional data center cooling system simulation model.

[0084] Optionally, the specific implementation process of S2 includes S21-S23:

[0085] S21. Obtaining measured parameter data of an actual data center cooling system, and performing standardization processing on the measured parameter data to obtain standardized parameter data;

[0086] Among them, temperature sensors, pressure sensors and flow sensors are deployed in the key nodes of the actual refrigeration system for data collection; the collected data are downsampled and filtered to generate a data set; the data set is standardized and outlier cleaning is performed to obtain standardized parameter data.

[0087] S22. Based on the same working conditions as those measured on site, run a one-dimensional refrigeration system simulation model of the data center and output simulation parameter data;

[0088] In one feasible implementation, a one-dimensional cooling system simulation model of a data center is run according to the environmental conditions and loads measured on site, and simulation data corresponding one-to-one to the standardized parameter data is output; the data format of the output simulation data is standardized to ensure direct comparability between the simulation data and the measured data.

[0089] S23. Compare the root mean square error of the standardized parameter data with the simulated parameter data. If the root mean square error is not within the preset allowable range, return to step S1 to iteratively adjust the parameters until the error converges to the preset allowable range, thereby completing the accuracy verification of the one-dimensional refrigeration system simulation model of the data center and obtaining the one-dimensional refrigeration system simulation model of the data center.

[0090] The iterative adjustment parameters include: the pressure ratio of the compressor, cooling water pump, and chilled water pump components, and the isentropic efficiency parameters.

[0091] In a feasible implementation, the simulation data and the standardized parameter data are matched at the same position, the root mean square error between the simulation data and the standardized parameter data is calculated, and the root mean square error is compared with a preset error threshold. If the preset error threshold is exceeded, a parameter sensitivity analysis method can be used to analyze the source of the error, including compressor efficiency deviation and inaccurate evaporator heat transfer coefficient. The model parameters are iteratively adjusted and re-simulated within the allowable range of the adjustment parameters until the error continuously converges to the preset allowable range, thereby completing the accuracy verification of the one-dimensional refrigeration system simulation model of the data center.

[0092] S3. Obtain the infrastructure parameters of the actual data center computer room and build an initial three-dimensional model of the computer room using three-dimensional CFD simulation software.

[0093] The infrastructure parameters of the actual computer room include: geometric parameters of the computer room include: length, width, height, rack space layout parameters and air conditioning space layout parameters.

[0094] Optionally, the specific implementation process of S3 includes S31-S33:

[0095] S31. Based on the actual computer room architectural drawings, use 3D CFD simulation software to build a 3D modeling simulation model of the data center computer room;

[0096] Among them, according to the actual computer room architectural drawings, in accordance with the spatial position parameters of data center equipment such as racks and air conditioners, as well as the geometric shape parameters of each equipment, a three-dimensional modeling simulation model of the data center computer room is constructed through three-dimensional CFD simulation software; according to the position and air volume parameters of the air conditioning supply / return air vents, the position and air volume physical parameters of the rack inlet / outlet, the operating parameters of each component are set, and the thermal conductivity coefficient, surface emissivity material thermal physical parameters and power density equipment operating parameters are configured.

[0097] The operation data of each component are set to include: air conditioner parameters, cabinet parameters and IT equipment parameters.

[0098] S32. Perform local mesh encryption in high-speed airflow areas, critical heat exchange areas, and geometrically complex areas, divide the encrypted mesh, and select the number of meshes through mesh independence testing.

[0099] Among them, local grid encryption is performed in high-speed airflow areas, critical heat exchange areas and geometrically complex areas. The grid is divided according to the structure of the computer room. The grid independence test is used to verify the convergence of partial changes in the temperature field and velocity field, and the number of grids that meets the accuracy requirements is selected.

[0100] S33. Based on the grid division, run the three-dimensional modeling simulation model of the data center computer room, calculate by using the Realizable k-ε turbulence model and the pressure-based transient solver, and output the simulation data of the temperature field, velocity field and pressure field.

[0101] Among them, the Realizable k-ε turbulence model is adopted, the enhanced wall function is set, the flow-heat transfer coupling equation is solved based on the pressure-based transient solver and the SIMPLE algorithm, the second-order discrete format and adaptive relaxation factor are set to improve the convergence efficiency, and the temperature field, velocity field and pressure field simulation data are output.

[0102] S4. Based on the temperature and flow obtained from the test at the same location of the actual data center computer room, the accuracy of the initial three-dimensional modeling simulation model of the computer room is verified to obtain a three-dimensional modeling simulation model of the data center computer room;

[0103] Optionally, the specific implementation process of S4 includes S41-S43:

[0104] S41. Deploy temperature sensors and wind speed sensors in the equipment room; collect environmental temperature, humidity, and flow data through the temperature sensors and wind speed sensors; filter the collected data to obtain standardized measured data;

[0105] In a feasible implementation, the collected data is processed using a sliding average filter and a wavelet denoising method to obtain processed data; based on the processed data, the standardized measured data is obtained by associating the spatial position coordinates of the measuring points with the CFD grid nodes.

[0106] S42. Based on the same working conditions as those measured on site, run the three-dimensional modeling simulation model of the data center computer room and output simulation data;

[0107] Among them, the output simulation data and the standardized measured data correspond one to one in spatial position.

[0108] S43. Match the simulated data with the standardized measured data in spatial position, calculate the root mean square error between the simulated data and the standardized measured data, and compare the root mean square error with the preset error. If it does not meet the preset error requirements, correct the parameters of the three-dimensional modeling simulation model of the data center computer room and re-simulate until all monitoring points are within the preset error range.

[0109] Among them, the monitoring points are the points measured by the sensors, including: the temperature at the cabinet air inlet, the flow at the cabinet air inlet, the temperature at the cabinet air outlet, the temperature at the air conditioning inlet, the flow at the air conditioning inlet and the temperature at the air conditioning outlet.

[0110] S5. Based on the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room, a multi-dimensional coupled simulation platform of the data center is constructed.

[0111] Optionally, the specific implementation of S5 includes S51-S53:

[0112] S51, obtaining cooling system-level energy efficiency data and three-dimensional computer room thermal performance data based on the one-dimensional data center cooling system simulation model and the three-dimensional data center computer room simulation model in parallel;

[0113] S52, using the cooling capacity, chilled water temperature, and flow rate output by the one-dimensional data center refrigeration system simulation model as boundary conditions of the three-dimensional modeling simulation model of the data center computer room, and reversely adjusting the one-dimensional data center refrigeration system simulation model based on the heat load distribution and hot spot location performance parameters fed back by the three-dimensional modeling simulation model of the data center computer room;

[0114] In a feasible implementation method, the cooling capacity and chilled water operating parameters output by the one-dimensional refrigeration system simulation model of the data center are used as dynamic boundary conditions of the three-dimensional modeling simulation model of the data center computer room to drive the air conditioning heat exchange and air supply calculations; based on the spatial distribution of heat load and tropical information fed back by the three-dimensional modeling simulation model of the data center computer room, the cooling capacity distribution strategy of the one-dimensional refrigeration system simulation model of the data center is reversely adjusted to achieve multi-dimensional parameter closed coupling.

[0115] S53. Design a closed-loop iterative mechanism. Based on the closed-loop iterative mechanism, optimize the cooling capacity, chilled water temperature, and flow parameters of the refrigeration system to reduce overall energy consumption. Optimize the temperature uniformity within the computer room and eliminate local overheating areas through the heat load distribution data and hotspot location data fed back from the computer room. Build a multi-dimensional coupled simulation platform for the data center through the closed-loop iterative mechanism.

[0116] Among them, the implementation steps of the closed-loop iterative mechanism include: thermal field feedback of the three-dimensional modeling simulation model of the data center computer room, parameter adjustment of the one-dimensional refrigeration system simulation model of the data center computer room, boundary update of the three-dimensional modeling simulation model of the data center computer room and thermal field recalculation.

[0117] In a feasible implementation method, the temperature distribution data and airflow organization data of the computer room are obtained through the three-dimensional modeling and simulation model of the data center computer room. When local hot spots or uneven temperature fields are identified, the characteristic parameters required to eliminate the uneven hot spots in the three-dimensional thermal field, including the extreme difference in cabinet inlet air temperature and the return air temperature gradient, are converted into cooling capacity requirements and input into the one-dimensional refrigeration system simulation model of the data center to adjust the chilled water supply temperature set value and the terminal precision air-conditioning fan speed parameters; the updated refrigeration system operating parameters are used as new boundary conditions and passed to the three-dimensional modeling and simulation model of the data center computer room for iterative recalculation to form a closed-loop iterative mechanism. Through multiple parameter optimization cycles, the system energy efficiency optimization and the balance between the thermal environment parameters of the computer room, including heat load distribution and hot spot location, are finally achieved.

[0118] In a feasible implementation, based on a closed-loop iterative mechanism, through periodic parameter correction and boundary conditions, the multi-dimensional coupled simulation model is driven to gradually approach the global energy efficiency optimization and thermal environment steady state, forming a high-fidelity multi-dimensional coupled data center cooling system simulation platform.

[0119] Among them, Figure 2The figure shows a structural schematic diagram of a flow chart of a multi-dimensional coupled data center cooling system simulation method provided by an embodiment of the present invention; in a feasible implementation manner, physical parameter data of an actual data center cooling system is obtained, including equipment parameters and heat load parameters; geometric parameter data of a data center computer room is obtained, including: computer room structure and internal layout parameters; based on the physical parameter data, a one-dimensional cooling system simulation model of the data center is constructed; based on the geometric parameter data of the data center computer room, a three-dimensional modeling simulation model of the data center computer room is constructed; an error comparison is performed between the one-dimensional cooling system simulation data and the three-dimensional computer room simulation data generated by the above two models and the corresponding actual measurement data. If the error does not meet the requirement, the model parameters are adjusted and iterated again until the error meets the standard; the three-dimensional modeling simulation model of the data center computer room and the one-dimensional cooling system simulation model of the data center are coupled through heat load, cooling capacity and chilled water temperature parameters to form a multi-dimensional coupled cooling system simulation method.

[0120] The specific implementation process of the embodiment provided in this application includes:

[0121] (1) The embodiment of the present invention selects the Tespy data package in Python as a one-dimensional simulation platform. Based on the actual refrigeration system configuration, Python code is used to call the TESPy library to instantiate component objects including: simulation of evaporator, condenser, cooling water pump, chilled water pump, compressor, heat exchanger and cooling tower core component models; wherein, Figure 3 The figure shows a one-dimensional simulation topology diagram of a data center refrigeration system according to an embodiment of the present invention. According to the topological sequence of a data center refrigeration system, including the connection sequence of the refrigerant cycle, chilled water circuit, and cooling water circuit, the inlets and outlets of the core components are connected and the core component parameters are set to construct a one-dimensional data center refrigeration system simulation model.

[0122] During the simulation process, the HeatExchanger component was used to replace the cooling tower model to construct a data model for the core components of the refrigeration system.

[0123] Among them, according to the technical specifications provided by the equipment manufacturer of a data center, the set_attr() function is used to set the parameter values of IT equipment heat load, cooling tower efficiency, pump efficiency, cooling tower outlet water temperature and cooling tower inlet temperature to each component model.

[0124] Among them, based on the actual connection method of the refrigeration system of a data center, the Connection class is used in topological order, including: refrigerant cycle, chilled water loop and cooling water loop; the refrigerant cycle sequence includes: compressor, condenser, expansion valve and evaporator; the chilled water loop sequence includes: chilled water pump, evaporator and computer room load; the cooling water loop includes: cooling water pump, condenser and cooling tower; separate one-dimensional networks are connected according to the topological order, and a one-dimensional refrigeration system simulation model of the data center is constructed by connecting the imports and exports of components, and environmental boundary conditions are set at the cooling tower, and load conditions are set at the chilled water load.

[0125] (2) Deploy temperature sensors and flow sensors at the compressor intake and exhaust ports and the evaporator inlet and outlet of the refrigeration system, collect data through the temperature sensors and flow sensors, and obtain data; perform sliding average filtering on the collected data to generate a standardized data set;

[0126] Among them, temperature, flow and pressure multi-parameter sensors are deployed at key nodes of the refrigeration system, such as the compressor suction and exhaust ports, evaporator / condenser inlet and outlet, and cooling tower water distributor; the collected data are filtered and median filtered to eliminate high-frequency noise, and the data are cleaned, and invalid intervals are marked for continuous abnormal segments to obtain standardized adopted number data; the standardized parameter data are stored in a database to construct a data set that can be directly used for model verification.

[0127] (3) Reproduce the same operating conditions in the one-dimensional refrigeration system simulation model of the data center, output the corresponding simulation parameters, and calculate the root mean square error of the simulation parameters; if the error exceeds the preset error value range, locate the error source through parameter sensitivity analysis, iteratively correct the model coefficients until convergence, and ensure that the steady-state error of the one-dimensional model meets the requirements;

[0128] Among them, the measured working conditions are accurately replicated in the one-dimensional refrigeration system simulation model of the data center, the meteorological data during the measurement period is used as the cooling tower inlet boundary condition, the heat load value is extracted according to the IT equipment log of the computer room, the set value of the compressor and the set value of the cooling tower wind are set synchronously, and the one-dimensional refrigeration system simulation model of the data center is run to output the simulated calculated value of the compressor power and the simulated calculated value of the evaporator outlet temperature; the output simulated calculated values are named and matched with the corresponding measured parameters; among them, the script automatically verifies the consistency of the parameter dimensions and data volume of the simulation data and the measured data to ensure that the two are directly comparable.

[0129] Among them, the simulation data and the measured data are matched point by point through the measurement location points, and the normalized root mean square error of the chilled water outlet temperature and the chilled water return temperature is calculated. Based on the range of the measured data, a threshold is set, and a global sensitivity analysis is performed on the parameters exceeding the threshold to identify high-impact factors. The condenser inlet and outlet pressure drop parameters and the evaporator inlet and outlet pressure drop parameters are corrected within the physical constraints until the output simulation data and the measured data meet the preset threshold, completing the accuracy verification of the one-dimensional refrigeration system simulation model of the data center.

[0130] (4) Select 6sigmaDC, a professional 3D simulation software for data centers, as the 3D simulation software. Build a geometric model of the computer room based on a data center CAD drawing, set the geometric and physical parameters of the racks and air-conditioning equipment; select a structured grid for division based on the shape of the computer room, perform a grid independence test, and select the number of grids;

[0131] Among them, Figure 4 The figure shows a three-dimensional modeling and simulation model diagram of a data center computer room provided by an embodiment of the present invention; wherein, 6sigmaDC, a professional three-dimensional simulation software for data centers, is selected as the three-dimensional simulation software, and a computer room geometric model and actual computer room component geometric parameters are constructed based on a certain data center CAD drawing, and a rack size, rack position, rack density and IT equipment placement model are constructed; based on the physical parameters of the actual computer room components, IT equipment power consumption and air conditioning air supply volume and air supply temperature parameters are defined.

[0132] Among them, a dense grid is used in the high-speed airflow area, the cabinet inlet and outlet area, and the core area of the air conditioning inlet and outlet; a sparse grid is used in the non-core area; among them, the average temperature at the middle section of the heat channel at the same distance between two rows of cabinets is selected for grid independence test to obtain the number of grids.

[0133] (5) Using the Realizable k-ε turbulence model and SIMPLE algorithm, a second-order discrete format is set to solve the flow-heat coupling equation and output the simulation results of the temperature field, velocity field and pressure field;

[0134] Among them, the Realizable k-ε turbulence model is adopted, the enhanced wall function is configured, the pressure-based transient solver and SIMPLE algorithm are used to solve the flow-heat transfer coupling equation, the second-order discrete format and adaptive relaxation factor are set to improve the convergence efficiency, the flow-heat coupling equation is solved, and the temperature field, velocity field and pressure field simulation result cloud map is output. The overall thermal performance of the computer room is visualized, and the numerical values at each position of the cloud map are derived through the calculated values of the three-dimensional simulation.

[0135] Among them, sensors are deployed in the hot and cold aisles of the computer room, the air inlet and outlet of the racks, and the air-conditioning terminal area according to pre-set height and width intervals to ensure the reliability of the measurement values; the temperature, wind speed and humidity parameters are collected by sensors, and the collected parameters are subjected to sliding average filtering and wavelet denoising to suppress noise interference and obtain the processed parameters; according to the coordinate system of the computer room BIM model, the spatial position of the measuring point is mapped to the CFD grid node, and a data set containing spatial coordinates and parameter values is constructed to realize the spatial position association between physical measurement and numerical model.

[0136] (6) Arrange temperature and humidity sensor arrays in each cold channel area of the cabinet inlet and outlet, and generate a spatially aligned data set through wavelet denoising; compare the simulation data output by the three-dimensional modeling simulation model of the data center computer room with the measured data, and calculate the root mean square error between the local hot spot temperature difference and the global temperature; if it exceeds the preset error range, correct it by optimizing the boundary conditions or correcting some parameters, and iterate the simulation model until the errors of all monitoring points meet the preset threshold, completing the accuracy verification of the three-dimensional modeling simulation model of the data center computer room;

[0137] Among them, based on the measured environmental conditions and load distribution, the actual working conditions are reproduced in the three-dimensional modeling simulation model of the data center computer room, including: setting the air-conditioning outlet velocity boundary and rack load, and using the steady-state solver to execute the simulation model, setting the forced residual convergence standard, extracting the grid nodes that strictly correspond to the measured points, and outputting CSV files and simulation cloud maps.

[0138] Among them, the measured data and the simulation data are matched in spatial position; the temperature root mean square error of the simulation data and the measured data and the velocity root mean square error of the simulation data and the measured data are calculated; the obtained root mean square error is compared with a preset threshold. If the error exceeds the preset threshold, the optimization boundary condition method or the partial parameter correction method is used to iteratively run the three-dimensional modeling simulation model of the data center computer room until the errors of all monitoring points meet the preset threshold, thereby completing the accuracy verification of the three-dimensional modeling simulation model of the data center computer room.

[0139] Among them, through the joint simulation framework of the one-dimensional refrigeration system model built based on Python and the three-dimensional computer room modeling and simulation model of the data center built based on 6SigmaDC, the COP, compressor power consumption and energy efficiency parameters, as well as the temperature field distribution and pressure field distribution computer room thermal performance parameters are simultaneously obtained, and the local hot spots and overall energy consumption increase caused by uneven cooling distribution are observed, fully revealing the coupling relationship between the refrigeration system and the thermal environment of the computer room.

[0140] (7) Based on the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room, a multi-dimensional coupled simulation platform for the data center is constructed; the chilled water parameters output by the one-dimensional refrigeration system simulation model of the data center are used as the boundary conditions of the three-dimensional modeling simulation model of the data center computer room, and the hotspot coordinates and thermal performance parameters identified by the three-dimensional modeling simulation model of the data center computer room are fed back to the one-dimensional refrigeration system simulation model of the data center to trigger the energy consumption adjustment of the refrigeration components, and obtain the influence of each component of the refrigeration system on the total energy consumption and the characteristics of the refrigeration system, as well as the temperature distribution, pressure distribution and local hotspot thermal performance phenomena of the computer room. Among them, Figure 5 FIG2 is a schematic diagram of a multi-dimensional coupled simulation platform based on three-dimensional modeling and simulation of a data center computer room and one-dimensional simulation of a refrigeration system, provided by an embodiment of the present invention;

[0141] Among them, the cooling capacity and chilled water parameters output by the one-dimensional refrigeration system simulation model of the data center are used as the boundary conditions of the three-dimensional modeling simulation model of the data center computer room to drive the air conditioning supply calculation. According to the hot spot distribution identified by the three-dimensional modeling simulation model of the data center computer room, the cooling capacity distribution strategy of the one-dimensional refrigeration system simulation model of the data center is reversely adjusted. Through a closed iterative mechanism, thermal performance optimization and energy consumption improvement are achieved, forming a multi-dimensional parameter closed-loop coupling between the refrigeration system and the computer room thermal field.

[0142] Among them, the steps of the closed-loop iterative mechanism include: thermal field feedback of the three-dimensional modeling simulation model of the data center computer room, parameter adjustment of the one-dimensional refrigeration system simulation model of the data center computer room, boundary update and thermal field recalculation of the three-dimensional modeling simulation model of the data center computer room, and optimization of the compressor frequency and cooling water flow refrigeration system component parameters through algorithms, driving the multi-dimensional model to gradually approach the global optimum, and finally forming a high-fidelity multi-dimensional coupled data center refrigeration system simulation method system.

[0143] The embodiment of the present invention first selects a component model of the system based on the actual data center cooling system structure; according to the component model, the component model parameters are defined based on the actual parameters, and according to the actual cooling system topology, an initial one-dimensional data center cooling system simulation model is constructed; secondly, the measured parameter data of the actual data center cooling system is obtained, and the accuracy of the initial one-dimensional data center cooling system simulation model is verified based on the measured parameter data of the actual data center cooling system to obtain the one-dimensional data center cooling system simulation model; the infrastructure parameters of the actual data center computer room are obtained, and an initial three-dimensional modeling simulation model of the computer room is constructed through three-dimensional CFD simulation software, and the accuracy of the initial three-dimensional modeling simulation model of the computer room is verified based on the temperature and flow obtained from the test at the same position of the actual computer room to obtain the three-dimensional modeling simulation model of the data center computer room; finally, a multi-dimensional coupled simulation platform of the data center is constructed based on the one-dimensional data center cooling system simulation model and the three-dimensional modeling simulation model of the data center computer room.

[0144] The embodiment of the present invention can solve the limitation problem of single-dimensional simulation of data center cooling system. The embodiment of the present invention obtains a large amount of reliable energy consumption, temperature and overall system energy consumption simulation data of each component of the cooling system by constructing an accurate and reliable one-dimensional simulation model of the data center cooling system, providing a high-fidelity data basis for equipment performance evaluation and energy efficiency optimization; the embodiment of the present invention obtains the global thermal environment characteristics of the actual room by constructing a three-dimensional modeling simulation model of the data center computer room, and accurately analyzes the location of local hot spots and temperature gradient distribution, providing a quantitative basis for spatial thermal performance for airflow organization optimization and heat dissipation strategy formulation; the embodiment of the present invention establishes a coupled simulation platform of the one-dimensional cooling system simulation model and the three-dimensional modeling simulation model of the data center computer room, and synchronously obtains system-level energy efficiency data and space-level thermal environment data through multi-dimensional collaborative simulation, realizing closed-loop mutual feedback between equipment operation logic and computer room thermal field, and having the ability to globally analyze system-level energy consumption, temperature and computer room thermal performance of the data center cooling system.

[0145] Figure 6 This is a block diagram of a multi-dimensional coupled data center cooling system simulation construction device according to an exemplary embodiment, which is used in a multi-dimensional coupled data center cooling system simulation construction method. Figure 6 The device includes a first construction unit 610, a first acquisition unit 620, a second construction unit 630, a second acquisition unit 640, and a third construction unit 650.

[0146] A first construction unit 610 is configured to select a component model of the system based on an actual data center cooling system structure; define component model parameters based on the component model and actual parameters, and construct an initial one-dimensional data center cooling system simulation model based on the actual cooling system topology;

[0147] A first acquisition unit 620 is configured to acquire measured parameter data of an actual data center cooling system, verify the accuracy of an initial one-dimensional data center cooling system simulation model based on the measured parameter data of the actual data center cooling system, and obtain the one-dimensional data center cooling system simulation model;

[0148] The second construction unit 630 is used to obtain the infrastructure parameters of the actual data center computer room and construct an initial three-dimensional modeling simulation model of the computer room using three-dimensional CFD simulation software;

[0149] The second acquisition unit 640 is configured to verify the accuracy of the initial three-dimensional modeling simulation model of the data center computer room based on the temperature and flow rate obtained from the test at the same location of the actual data center computer room, and obtain the three-dimensional modeling simulation model of the data center computer room;

[0150] The third construction unit 650 is used to construct a multi-dimensional coupled simulation platform of the data center based on the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room.

[0151] Optionally, the first constructing unit 610 is configured to:

[0152] Based on the actual data center cooling system configuration, the thermodynamic models of the compressor, evaporator, and cooling tower core components were selected from the standard model library of the one-dimensional simulation platform;

[0153] According to the actual standard parameters of each component, input the static parameters of the equipment for each component in turn;

[0154] Connect the components according to the actual refrigeration cycle process, set the environmental boundary conditions and load values, and build an initial one-dimensional data center cooling system simulation model.

[0155] Optionally, the first acquiring unit 620 is configured to:

[0156] Obtaining actual measured parameter data of the cooling system of an actual data center, and performing standardization processing on the measured parameter data to obtain standardized parameter data;

[0157] Based on the same working conditions as the on-site measurements, run the one-dimensional cooling system simulation model of the data center and output the simulated parameter data;

[0158] Compare the root mean square error of the standardized parameter data with the simulated parameter data. If the root mean square error is not within the preset allowable range, return to step S1 to iteratively adjust the parameters until the error converges to the preset allowable range, complete the accuracy verification of the one-dimensional refrigeration system simulation model of the data center, and obtain the one-dimensional refrigeration system simulation model of the data center.

[0159] Optionally, the second acquiring unit 630 is configured to:

[0160] Based on the actual computer room architectural drawings, a 3D modeling simulation model of the data center computer room is constructed using 3D CFD simulation software;

[0161] Perform local mesh encryption in high-speed airflow areas, heat exchange critical areas, and geometrically complex areas, divide the encrypted mesh, and select the number of meshes through mesh independence testing;

[0162] Based on grid division, the three-dimensional modeling simulation model of the data center computer room is run. The Realizable k-ε turbulence model and pressure-based transient solver are used for calculation to output simulation data of temperature field, velocity field and pressure field.

[0163] Optionally, the second acquiring unit 640 is configured to:

[0164] Deploy temperature sensors and wind speed sensors in the equipment room to collect ambient temperature, humidity, and flow data. Filter the collected data to obtain standardized measured data.

[0165] Based on the same working conditions as on-site measurements, run the 3D modeling simulation of the data center room and output simulation data;

[0166] The simulation data is spatially matched with the standardized measured data, and the root mean square error between the simulation data and the standardized measured data is calculated. The root mean square error is compared with the preset error. If it does not meet the preset error requirements, the parameters of the 3D modeling simulation model of the data center computer room are corrected and re-simulated until all monitoring points are within the preset error range.

[0167] Optionally, the third building unit 650 is configured to:

[0168] The one-dimensional data center cooling system simulation model and the three-dimensional data center room simulation model are simulated in parallel to obtain cooling system-level energy efficiency data and three-dimensional room thermal performance data;

[0169] The cooling capacity, chilled water temperature, and flow rate output by the one-dimensional data center cooling system simulation model are used as boundary conditions for the three-dimensional modeling simulation model of the data center computer room. Based on the heat load distribution and hotspot location performance parameters fed back by the three-dimensional modeling simulation model of the data center computer room, the one-dimensional data center cooling system simulation model is adjusted inversely.

[0170] Design a closed-loop iterative mechanism; based on this mechanism, optimize the cooling capacity, chilled water temperature, and flow parameters of the refrigeration system to reduce overall energy consumption; optimize the temperature uniformity within the computer room and eliminate local overheating areas through feedback from the heat load distribution data and hotspot location data; and build a multi-dimensional coupled simulation platform for the data center through this closed-loop iterative mechanism.

[0171] The embodiment of the present invention first selects a component model of the system based on the actual data center cooling system structure; according to the component model, the component model parameters are defined based on the actual parameters, and according to the actual cooling system topology, an initial one-dimensional data center cooling system simulation model is constructed; secondly, the measured parameter data of the actual data center cooling system is obtained, and the accuracy of the initial one-dimensional data center cooling system simulation model is verified based on the measured parameter data of the actual data center cooling system to obtain the one-dimensional data center cooling system simulation model; the infrastructure parameters of the actual data center computer room are obtained, and an initial three-dimensional modeling simulation model of the computer room is constructed through three-dimensional CFD simulation software, and the accuracy of the initial three-dimensional modeling simulation model of the computer room is verified based on the temperature and flow obtained from the test at the same position of the actual computer room to obtain the three-dimensional modeling simulation model of the data center computer room; finally, a multi-dimensional coupled simulation platform of the data center is constructed based on the one-dimensional data center cooling system simulation model and the three-dimensional modeling simulation model of the data center computer room.

[0172] The embodiment of the present invention can solve the limitation problem of single-dimensional simulation of data center cooling system. The embodiment of the present invention obtains a large amount of reliable energy consumption, temperature and overall system energy consumption simulation data of each component of the cooling system by constructing an accurate and reliable one-dimensional simulation model of the data center cooling system, providing a high-fidelity data basis for equipment performance evaluation and energy efficiency optimization; the embodiment of the present invention obtains the global thermal environment characteristics of the actual room by constructing a three-dimensional modeling simulation model of the data center computer room, and accurately analyzes the location of local hot spots and temperature gradient distribution, providing a quantitative basis for spatial thermal performance for airflow organization optimization and heat dissipation strategy formulation; the embodiment of the present invention establishes a coupled simulation platform of the one-dimensional cooling system simulation model and the three-dimensional modeling simulation model of the data center computer room, and synchronously obtains system-level energy efficiency data and space-level thermal environment data through multi-dimensional collaborative simulation, realizing closed-loop mutual feedback between equipment operation logic and computer room thermal field, and having the ability to globally analyze system-level energy consumption, temperature and computer room thermal performance of the data center cooling system.

[0173] Figure 7 FIG. 1 is a schematic diagram of a multi-dimensional coupled data center cooling system simulation construction device provided by an embodiment of the present invention. Figure 7 As shown, the multi-dimensional coupled data center cooling system simulation construction equipment may include the above Figure 6 Optionally, the multi-dimensional coupled data center cooling system simulation construction device 710 may include a first processor 2001 .

[0174] Optionally, the multi-dimensional coupled data center cooling system simulation construction device 710 may further include a memory 2002 and a transceiver 2003 .

[0175] The first processor 2001, the memory 2002 and the transceiver 2003 may be connected via a communication bus.

[0176] The following combination Figure 7 The components of the multi-dimensional coupled data center cooling system simulation construction device 710 are described in detail:

[0177] The first processor 2001 is the control center of the multi-dimensional coupled data center cooling system simulation construction device 710 and can be a single processor or a collective term for multiple processing elements. For example, the first processor 2001 can be one or more central processing units (CPUs), application-specific integrated circuits (ASICs), or one or more integrated circuits configured to implement embodiments of the present invention, such as one or more microprocessors (digital signal processors, DSPs) or one or more field programmable gate arrays (FPGAs).

[0178] Optionally, the first processor 2001 may execute various functions of the multi-dimensional coupled data center cooling system simulation construction device 710 by running or executing a software program stored in the memory 2002 and calling data stored in the memory 2002 .

[0179] In a specific implementation, as an embodiment, the first processor 2001 may include one or more CPUs, such as Figure 7 CPU0 and CPU1 are shown in FIG.

[0180] In a specific implementation, as an embodiment, the multi-dimensional coupled data center cooling system simulation construction device 710 may also include multiple processors, such as Figure 7 1 and 2. The first processor 2001 and the second processor 2004 are shown in FIG. Each of these processors can be a single-core processor (single-CPU) or a multi-core processor (multi-CPU). A processor herein can refer to one or more devices, circuits, and / or processing cores for processing data (e.g., computer program instructions).

[0181] The memory 2002 is used to store the software program for executing the solution of the present invention, and is controlled by the first processor 2001 for execution. The specific implementation method can refer to the above method embodiment and will not be repeated here.

[0182] Alternatively, the memory 2002 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, a random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, an optical disc storage (including a compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and capable of being accessed by a computer, but not limited thereto. The memory 2002 may be integrated with the first processor 2001 or exist independently and be connected to the interface circuit ( Figure 7 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0183] The transceiver 2003 is used to communicate with a network device or a terminal device.

[0184] Optionally, the transceiver 2003 may include a receiver and a transmitter ( Figure 7 The receiver is used to implement a receiving function, and the transmitter is used to implement a sending function.

[0185] Optionally, the transceiver 2003 may be integrated with the first processor 2001 or may exist independently and construct an interface circuit of the device 710 through multi-dimensional coupled data center cooling system simulation ( Figure 7 (not shown) is coupled to the first processor 2001, which is not specifically limited in this embodiment of the present invention.

[0186] It should be noted that Figure 7 The structure of the multi-dimensional coupled data center cooling system simulation construction device 710 shown in the figure does not constitute a limitation on the router. The actual knowledge structure recognition device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0187] In addition, the technical effects of the multi-dimensionally coupled data center cooling system simulation construction device 710 can refer to the technical effects of the multi-dimensionally coupled data center cooling system simulation construction method described in the above method embodiment, and will not be repeated here.

[0188] It should be understood that the first processor 2001 in the embodiment of the present invention may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, etc.

[0189] It should also be understood that the memory in the embodiments of the present invention may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory may be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0190] The above embodiments can be implemented in whole or in part via software, hardware (e.g., circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When loaded or executed on a computer, the processes or functions described in accordance with the embodiments of the present invention are fully or partially performed. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired means (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium accessible by a computer or a data storage device such as a server or data center that contains a collection of one or more available media. The available medium can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media. The semiconductor media can be a solid-state drive.

[0191] It should be understood that the term "and / or" as used herein simply describes a relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A alone, A and B together, or B alone. A and B can be singular or plural. Furthermore, the character " / " as used herein generally indicates an "or" relationship between the associated objects, but it may also indicate an "and / or" relationship. For specific understanding, please refer to the context.

[0192] In this disclosure, "at least one" means one or more, and "plurality" means two or more. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, "at least one of a, b, or c" can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural.

[0193] It should be understood that in various embodiments of the present invention, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0194] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0195] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described equipment, devices and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0196] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another device, 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 interface, indirect coupling or communication connection of the device or unit, which can be electrical, mechanical or other forms.

[0197] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0198] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0199] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or the portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media that can store program code, such as USB flash drives, mobile hard drives, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical disks.

[0200] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A multi-dimensional coupled data center cooling system simulation construction method, characterized in that: The method comprises: S1. Based on the actual data center cooling system structure, select a component model of the system; define the component model parameters based on the actual parameters according to the component model, and construct an initial one-dimensional data center cooling system simulation model based on the actual cooling system topology; S2. Obtaining measured parameter data of an actual data center cooling system, and verifying the accuracy of an initial one-dimensional data center cooling system simulation model based on the measured parameter data of the actual data center cooling system to obtain a one-dimensional data center cooling system simulation model; S3. Obtain the infrastructure parameters of the actual data center computer room and construct an initial 3D model of the computer room using 3D CFD simulation software; S4. Based on the temperature and flow obtained from the test at the same location of the actual data center computer room, the accuracy of the initial three-dimensional modeling simulation model of the computer room is verified to obtain a three-dimensional modeling simulation model of the data center computer room; S5. Based on the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room, a multi-dimensional coupled simulation platform of the data center is constructed.

2. The multi-dimensional coupled data center cooling system simulation construction method according to claim 1, characterized in that: The step S1 selects a component model of the system based on the actual data center cooling system structure; Based on the component model, the component model parameters are defined based on the actual parameters. According to the actual cooling system topology, an initial one-dimensional data center cooling system simulation model is constructed, including: S11. Based on the actual data center cooling system configuration, select the thermodynamic models of the compressor, evaporator, and cooling tower core components from the standard model library of the one-dimensional simulation platform; S12. Input the static parameters of the equipment for each component in turn according to the actual standard parameters of each component; S13. Connect the components according to the actual refrigeration cycle process, set the environmental boundary conditions and load values, and build an initial one-dimensional data center refrigeration system simulation model.

3. The multi-dimensional coupled data center cooling system simulation construction method according to claim 1, characterized in that: The step S2 of obtaining measured parameter data of an actual data center refrigeration system, verifying the accuracy of an initial one-dimensional data center refrigeration system simulation model based on the measured parameter data of the actual data center refrigeration system, and obtaining the one-dimensional data center refrigeration system simulation model includes: S21. Obtaining measured parameter data of an actual data center cooling system, and performing standardization processing on the measured parameter data to obtain standardized parameter data; S22. Based on the same working conditions as those measured on site, run a one-dimensional refrigeration system simulation model of the data center and output simulation parameter data; S23. Compare the root mean square error of the standardized parameter data with the simulated parameter data. If the root mean square error is not within the preset allowable range, return to step S1 to iteratively adjust the parameters until the error converges to the preset allowable range, thereby completing the accuracy verification of the one-dimensional refrigeration system simulation model of the data center and obtaining the one-dimensional refrigeration system simulation model of the data center.

4. The multi-dimensional coupled data center cooling system simulation construction method according to claim 1, characterized in that: The S3 obtains the infrastructure parameters of the actual data center computer room and constructs a three-dimensional CFD simulation model using three-dimensional CFD simulation software, including: S31. Based on the actual computer room architectural drawings, use 3D CFD simulation software to build a 3D modeling simulation model of the data center computer room; S32. Perform local mesh encryption in high-speed airflow areas, critical heat exchange areas, and geometrically complex areas, divide the encrypted mesh, and select the number of meshes through mesh independence testing. S33. Based on the grid division, run the three-dimensional modeling simulation model of the data center computer room, calculate by using the Realizable k-ε turbulence model and the pressure-based transient solver, and output the simulation data of the temperature field, velocity field and pressure field.

5. The method for constructing a multi-dimensional coupled data center cooling system simulation according to claim 1, wherein: The step S4 verifies the accuracy of the initial three-dimensional modeling simulation model of the data center computer room based on the temperature and flow rate obtained from the test at the same location of the actual data center computer room, and obtains the three-dimensional modeling simulation model of the data center computer room, including: S41. Deploy temperature sensors and wind speed sensors in the equipment room; collect environmental temperature, humidity, and flow data through the temperature sensors and wind speed sensors; filter the collected data to obtain standardized measured data; S42. Based on the same working conditions as those measured on site, run the three-dimensional modeling simulation model of the data center computer room and output simulation data; S43. Match the simulated data with the standardized measured data in spatial position, calculate the root mean square error between the simulated data and the standardized measured data, and compare the root mean square error with the preset error. If it does not meet the preset error requirements, correct the parameters of the three-dimensional modeling simulation model of the data center computer room and re-simulate until all monitoring points are within the preset error range.

6. The multi-dimensional coupled data center cooling system simulation construction method according to claim 1, characterized in that: The S5 constructs a multi-dimensional coupled simulation platform for the data center based on the one-dimensional data center cooling system simulation model and the three-dimensional modeling simulation model of the data center computer room, including: S51, parallel simulation of the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room to obtain refrigeration system-level energy efficiency data and three-dimensional computer room thermal performance data; S52, using the cooling capacity, chilled water temperature, and flow rate output by the one-dimensional data center refrigeration system simulation model as boundary conditions of the three-dimensional modeling simulation model of the data center computer room, and reversely adjusting the one-dimensional data center refrigeration system simulation model based on the heat load distribution and hot spot location performance parameters fed back by the three-dimensional modeling simulation model of the data center computer room; S53. Design a closed-loop iterative mechanism. Based on the closed-loop iterative mechanism, optimize the cooling capacity, chilled water temperature, and flow parameters of the refrigeration system to reduce overall energy consumption. Optimize the temperature uniformity within the computer room and eliminate local overheating areas through the heat load distribution data and hotspot location data fed back from the computer room. Build a multi-dimensional coupled simulation platform for the data center through the closed-loop iterative mechanism.

7. A multi-dimensional coupled data center refrigeration system simulation construction device, the multi-dimensional coupled data center refrigeration system simulation construction device is used to implement the multi-dimensional coupled data center refrigeration system simulation construction method according to any one of claims 1 to 6, characterized in that: The device comprises: The first construction unit is configured to select a component model of the system based on an actual data center cooling system structure; define component model parameters based on the component model and actual parameters, and construct an initial one-dimensional data center cooling system simulation model based on the actual cooling system topology; A first acquisition unit is configured to acquire measured parameter data of an actual data center cooling system, verify the accuracy of an initial one-dimensional data center cooling system simulation model based on the measured parameter data of the actual data center cooling system, and obtain the one-dimensional data center cooling system simulation model; The second construction unit is used to obtain the infrastructure parameters of the actual data center computer room and construct an initial three-dimensional modeling simulation model of the computer room using three-dimensional CFD simulation software; The second acquisition unit is used to verify the accuracy of the initial three-dimensional modeling simulation model of the computer room based on the temperature and flow obtained from the test at the same position of the actual data center computer room, and obtain the three-dimensional modeling simulation model of the data center computer room; The third construction unit is used to construct a multi-dimensional coupled simulation platform of the data center based on the one-dimensional refrigeration system simulation model of the data center and the three-dimensional modeling simulation model of the data center computer room.

8. The multi-dimensional coupled data center cooling system simulation construction device according to claim 7, characterized in that: The first building block is used to: Based on the actual data center cooling system configuration, the thermodynamic models of the compressor, evaporator, and cooling tower core components were selected from the standard model library of the one-dimensional simulation platform; According to the actual standard parameters of each component, input the static parameters of the equipment for each component in turn; Connect the components according to the actual refrigeration cycle process, set the environmental boundary conditions and load values, and build an initial one-dimensional data center cooling system simulation model.

9. A multi-dimensional coupled data center cooling system simulation construction device, characterized in that: The multi-dimensional coupled data center cooling system simulation construction device includes: processor; A memory having computer-readable instructions stored thereon, wherein when the computer-readable instructions are executed by the processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program code, which can be called by a processor to execute the method according to any one of claims 1 to 6.

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