Machine room cabinet type server heat dissipation control method and device and storage medium
By performing heat dissipation partitioning and dynamic power adjustment in the computer room, the problem of difficulty in accurately controlling the temperature of the computer room and improving energy utilization in the prior art is solved, and efficient and energy-saving heat dissipation management is achieved.
Patent Information
- Application Number
- CN202510118048.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-24
- Publication Date
- 2025-04-29
AI Technical Summary
The existing computer room cooling technology is difficult to accurately control the temperature of each area when multiple servers are deployed on a large scale, which can easily cause local hot spots and affect server performance. It also lacks intelligent partition management and dynamic adjustment capabilities, resulting in low energy utilization and increasing unnecessary energy consumption.
The computer room cabinet-type server heat dissipation control method is adopted to obtain the distribution data of the computer room server and the heat dissipation equipment, and the working status and operating power of each heat dissipation equipment are dynamically adjusted according to the current required heat dissipation power and the operating data of each heat dissipation equipment to achieve precise control.
It improves the heat dissipation efficiency of the computer room, avoids the occurrence of local hot spots, significantly reduces energy consumption costs, and improves energy utilization and system stability.
Smart Images
Figure CN119907221A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of server heat dissipation, and in particular to a heat dissipation control method, device and storage medium for a cabinet-type server in a computer room. Background Art
[0002] The server room is a core component of modern data centers, undertaking a large number of computing and data processing tasks. With the rapid development of information technology, the number of servers continues to increase, resulting in an increase in heat generation inside the room. In order to ensure the normal operation of the server and extend its service life, an efficient heat dissipation system becomes particularly important.
[0003] Existing computer room heat dissipation technologies are mainly carried out in the following ways: first, the traditional air conditioning refrigeration method, which adjusts the temperature of the entire computer room through the central air conditioning system; second, liquid cooling technology, which uses liquid coolant to directly contact the server to take away the generated heat; third, air cooling technology, which uses fans to blow air to the server to help dissipate heat. In addition, there are some heat dissipation designs based on natural ventilation, such as using external low-temperature air for ventilation and cooling. These methods have solved the problem of overheating in the computer room to a certain extent, but there are still some shortcomings in practical applications.
[0004] Although the above-mentioned cooling technologies can meet the cooling needs of computer rooms to a certain extent, they still face some challenges. Especially in the case of large-scale deployment of multiple servers, traditional integrated air conditioning systems are difficult to accurately control the temperature of each area, which can easily cause local hot spots and affect server performance. At the same time, the lack of intelligent partition management and dynamic adjustment capabilities makes the energy utilization rate of the cooling system low, increasing unnecessary energy consumption. Summary of the invention
[0005] The purpose of this application is to provide a heat dissipation control method, device and storage medium for a cabinet-type server in a computer room, so as to improve the stability of the heat dissipation effect of the computer room and significantly reduce the energy consumption cost.
[0006] In the first aspect, the present application provides a method for controlling heat dissipation of a cabinet-type server in a computer room, which adopts the following technical solution: A heat dissipation control method for a cabinet-type server in a computer room, comprising: Obtain the distribution data of servers and cooling equipment in the computer room; The computer room is divided into cooling zones according to the distribution data of servers and cooling equipment in the computer room; Operation data of each heat dissipation device, the operation data including operation status and operation power; Get the currently required heat dissipation power; Each cooling device is controlled according to the cooling zone, the currently required cooling power and the operating data of each cooling device.
[0007] By adopting the above technical solution, the present application realizes the intelligent management of the heat dissipation of the cabinet-type servers in the computer room. First, by acquiring and analyzing the distribution data of the servers and heat dissipation equipment in the computer room, different heat dissipation areas are effectively divided to improve the heat dissipation efficiency. Secondly, based on the specific heat dissipation power currently required and the actual operating conditions of each heat dissipation device, the working state and operating power of each heat dissipation device are accurately controlled to ensure the heat dissipation demand while avoiding waste of resources. In general, this method not only improves the safety and stability of the computer room environment, but also significantly reduces energy consumption costs.
[0008] Preferably, the controlling each heat dissipation device according to the currently required heat dissipation power and the operation data of each heat dissipation device specifically includes: According to the heat dissipation partition and the currently required heat dissipation power, the currently required operating state and operating power of each heat dissipation device are obtained; The corresponding heat dissipation device is controlled to be turned on or off according to the currently required operating state; the heat dissipation effect of the corresponding heat dissipation device is controlled according to the currently required operating power.
[0009] By adopting the above technical solution, the present application can accurately control the operating status and power of each heat dissipation device according to the actual needs of the computer room, thereby realizing efficient and energy-saving heat dissipation management. Specifically: the currently required operating status and operating power of each heat dissipation device are obtained according to the heat dissipation partition and the currently required heat dissipation power. This measure ensures that the heat dissipation equipment in each area can be adjusted according to actual needs, avoiding waste of resources. According to the currently required operating status, the corresponding heat dissipation device is controlled to be turned on or off. By dynamically adjusting the switching state of the heat dissipation device, it is possible to effectively respond to changes in heat dissipation demand in different time periods and further improve the energy efficiency ratio. According to the currently required operating power, the heat dissipation effect of the corresponding heat dissipation device is controlled. By finely adjusting the specific power of the heat dissipation device, it is possible to maximize energy conservation while ensuring the heat dissipation effect.
[0010] Preferably, the heat dissipation partitioning of the computer room according to the distribution data of the servers and heat dissipation equipment in the computer room specifically includes: Obtain the heat density layout of the computer room based on the distribution data of servers and cooling equipment in the computer room; The air supply area and heat exchange area are divided according to the heat density layout of the computer room.
[0011] By adopting the above technical solution, the present application can achieve more accurate and efficient heat dissipation management of the computer room. Specifically: the heat density layout of the computer room is obtained according to the distribution data of the server and heat dissipation equipment in the computer room. Through the comprehensive analysis of the temperature data of each location in the computer room and the server distribution data, the heat concentration degree of different areas inside the computer room can be accurately identified, thereby providing a scientific basis for the subsequent heat dissipation zoning. The air supply area and the heat exchange area are divided according to the heat density layout of the computer room. Based on the results of the heat density layout, the air supply area and the heat exchange area are reasonably divided to ensure that the cold air can be effectively delivered to the key areas that need to be cooled, and at the same time ensure that the hot air can be discharged in time to avoid the occurrence of local overheating and improve the overall heat dissipation efficiency.
[0012] Preferably, the step of obtaining the heat density layout of the computer room according to the distribution data of the servers and heat dissipation equipment in the computer room includes: Obtain temperature data from temperature detection devices installed at various locations in the computer room; The heat density layout of the computer room is obtained based on the temperature data of each location in the computer room and the server distribution data.
[0013] By adopting the above technical solution, the present application can accurately obtain the actual temperature data of each location in the computer room, and generate a detailed heat density layout map based on the server distribution. This helps to more scientifically divide the air supply area and heat exchange area, ensure the effective allocation of heat dissipation resources, improve heat dissipation efficiency, and reduce energy waste.
[0014] Preferably, the step of obtaining the heat density layout of the computer room according to the distribution data of the servers and heat dissipation equipment in the computer room further includes: Monitor the real-time workload changes of each server in the computer room; Dynamically adjust the heat density layout of the computer room according to changes in server workload.
[0015] By adopting the above technical solution, the present application can monitor the real-time workload of each server in the computer room and dynamically adjust the heat density layout of the computer room according to these changes. This not only improves the flexibility and response speed of the cooling system, but also can more accurately match the actual cooling needs of different areas, thereby effectively improving the energy efficiency of the entire computer room and reducing energy waste.
[0016] Preferably, obtaining the currently required heat dissipation power specifically includes: Presetting a first temperature threshold; Receive the actual temperature value detected by the temperature detection device; The currently required heat dissipation power is obtained according to the difference between the actual temperature value and the first temperature threshold value.
[0017] By adopting the above technical solution, the present application can accurately calculate the currently required heat dissipation power according to the difference between the actual temperature of the computer room and the preset first temperature threshold. This method not only improves the accuracy of heat dissipation control, but also can automatically adjust the working state of the heat dissipation equipment under different environmental conditions, thereby effectively ensuring the temperature control requirements inside the computer room, extending the service life of the equipment, and reducing unnecessary energy waste.
[0018] Preferably, it also includes: Preset a second temperature threshold, where the second temperature threshold is lower than the first temperature threshold; Receive the actual temperature value detected by the temperature detection device; When the actual temperature value is less than the second temperature threshold, the heat dissipation device is controlled to be turned off or to reduce the operating power.
[0019] By adopting the above technical solution, the present application can achieve the following effects: temperature control is more precise, and two different temperature thresholds are preset, so that the system can determine the working mode of the heat dissipation device according to the relationship between the actual temperature value and the two thresholds. This not only ensures that the computer room environment is always within a suitable temperature range, but also avoids energy waste caused by overcooling. Energy-saving and efficient, when the actual temperature value is lower than the lower second temperature threshold, the system will automatically shut down or reduce the operating power of the heat dissipation device. This mechanism can effectively reduce unnecessary energy consumption and improve the energy efficiency ratio of the system while ensuring the safety of the computer room. The system has strong dynamic response capabilities. It can receive data from the temperature detection equipment in real time and respond quickly based on these data, so as to better cope with changes in the temperature inside the computer room and improve the flexibility and reliability of the overall heat dissipation control.
[0020] Preferably, the obtaining of the currently required heat dissipation power further includes: Receive the actual temperature value detected by the temperature detection device; Construct an initial model for heat dissipation power prediction; Obtaining operation data samples, actual temperature value samples and corresponding heat dissipation power samples of the heat dissipation equipment in several heat dissipation control processes in the heat dissipation power prediction database; The operation data samples and actual temperature value samples of the heat dissipation equipment are used as input features, and the heat dissipation power samples are used as output features to construct a sample set; The initial model for heat dissipation power prediction is trained according to the sample set to obtain a trained heat dissipation power prediction model; The current actual temperature value and the operating data of the heat dissipation equipment are input into the trained heat dissipation power prediction model to obtain the currently required heat dissipation power.
[0021] By adopting the above technical solution, the present application can accurately predict the required heat dissipation power based on historical data and current environmental parameters, thereby achieving more intelligent and efficient heat dissipation control. Specifically: using the constructed heat dissipation power prediction model, accurate prediction results are trained based on historical data, thereby improving the calculation accuracy of the heat dissipation power demand. Combined with the current actual temperature value and the operating data of the heat dissipation equipment, the heat dissipation power prediction is updated in real time to ensure that the heat dissipation system is always in the best working state. By accurately predicting the heat dissipation demand, energy waste caused by excessive heat dissipation is avoided, and energy consumption is effectively reduced. It is not only suitable for heat dissipation needs in static environments, but also can cope with changes in various complex working conditions in the computer room, with high flexibility and robustness.
[0022] In a second aspect, the present application provides a computer device that adopts the following technical solution: A computer device comprises a memory and a processor, wherein the memory stores a method for controlling heat dissipation of a cabinet server in a computer room as described in the first aspect and can be loaded and executed by the processor.
[0023] By adopting the above technical solution, the computer equipment can realize intelligent control of the heat dissipation of the cabinet server in the computer room. Specifically: obtain the distribution data of the server and heat dissipation equipment in the computer room, and divide the computer room into heat dissipation zones according to these data, so as to optimize the allocation of heat dissipation resources; the operation data of each heat dissipation device includes the operation status and operation power, which is helpful to monitor the performance of the heat dissipation system in real time; each heat dissipation device is precisely controlled according to the heat dissipation zone, the currently required heat dissipation power and the operation data of each heat dissipation device to ensure the best heat dissipation effect; calculate the required heat dissipation power through the preset first temperature threshold and the actual detected temperature value, so that the system responds more quickly and accurately; preset the second temperature threshold and adjust the working state of the heat dissipation device when the temperature is lower than this threshold, so as to further save energy; construct a heat dissipation power prediction model and use historical data for training to improve the accuracy of heat dissipation demand prediction and enhance the adaptability and stability of the system. In summary, the computer equipment realizes efficient, energy-saving and stable heat dissipation management of the computer room by integrating multiple intelligent control strategies.
[0024] In a third aspect, the present application provides a computer-readable storage medium that adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and executed by a method for controlling heat dissipation of a cabinet server in a computer room as described in the first aspect.
[0025] By adopting the above technical solution, the present application realizes an efficient heat dissipation control method for cabinet-type servers in computer rooms. The method first obtains the distribution data of servers and heat dissipation devices in the computer room, and then divides the computer room into heat dissipation zones based on these data to ensure that the heat dissipation requirements of each area can be effectively met. Then, the system will accurately control the working state of each heat dissipation device according to the currently required heat dissipation power and the operating data of each heat dissipation device, so as to achieve the purpose of energy saving and efficient heat dissipation. This computer program on a computer-readable storage medium can be flexibly applied in various environments to improve the overall energy efficiency ratio and operation and maintenance management efficiency of the computer room.
[0026] In summary, the present application includes at least one of the following beneficial technical effects: 1. By analyzing the distribution data of servers and cooling equipment in the computer room and zoning the cooling area, refined management of different areas is achieved, avoiding the local hot spot problem caused by the traditional integrated air-conditioning system and improving the cooling efficiency; 2. Dynamically adjust the working status and power of the cooling equipment according to the currently required cooling power and the operating data of each cooling equipment, so that the cooling system can respond flexibly according to actual needs, reduce unnecessary energy consumption, and improve energy utilization; 3. Combining the data of the temperature detection equipment and the preset temperature threshold, the start and stop of the heat dissipation equipment and the power adjustment are automatically controlled, realizing intelligent temperature control management, ensuring the stable operation of the server and extending its service life. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] Figure 1 is a flow chart of the heat dissipation control method according to an embodiment of the present application; Figure 2 This is a heat dissipation power prediction flow chart of an embodiment of the present application. DETAILED DESCRIPTION
[0028] The following is combined with Figure 1 -Attached Figure 2 , the technical solution of the present application is clearly and completely described, and the described embodiments are only possible technical implementations of the present invention, not all possible implementations. Those skilled in the art can completely combine the embodiments of the present invention to obtain other embodiments without creative work, and these embodiments are also within the scope of protection of the present invention.
[0029] In the case of large-scale deployment of multiple servers, it is difficult for traditional integrated air conditioning systems to accurately control the temperature of each area, which can easily cause local hot spots and affect server performance. At the same time, the lack of intelligent zoning management and dynamic adjustment capabilities makes the energy utilization rate of the cooling system low, increasing unnecessary energy consumption. Therefore, the present application provides a heat dissipation control method for cabinet-type servers in a computer room, which achieves more accurate and efficient heat dissipation management through intelligent zoning management and dynamic adjustment, effectively avoids the generation of local hot spots, and improves energy utilization. Figure 1 ,include: S1. Obtain the distribution data of servers and cooling equipment in the computer room.
[0030] Specifically, the distribution data can be collected through sensor networks or other monitoring devices, including but not limited to the location, model, and quantity of servers and the type, location, and quantity of cooling devices. These data can be used for subsequent partitioning and control strategy formulation.
[0031] S2. Perform cooling partitioning on the computer room based on the distribution data of servers and cooling equipment in the computer room.
[0032] Specifically, it includes: obtaining the heat density layout of the computer room based on the distribution data of the server and heat dissipation equipment in the computer room. This can be achieved by installing temperature detection equipment at various locations in the computer room, collecting temperature data at each point, and generating a heat density map in combination with the server distribution data. Dividing the air supply area and heat exchange area. According to the heat density map, the computer room is divided into several air supply areas and heat exchange areas to more finely control the heat dissipation effect.
[0033] S3. Obtain operation data of each heat dissipation device.
[0034] Specifically, the operating data includes the operating status of the cooling device, such as whether the cooling device is turned on, and the operating power, such as the speed and current of the cooling device. This part of the data can be obtained through built-in sensors or remote monitoring systems for subsequent control decisions.
[0035] S4. Obtain the currently required heat dissipation power.
[0036] Specifically, different algorithms can be selected according to actual conditions, for example: a first temperature threshold is preset, the actual temperature value detected by the temperature detection device is received, and the currently required heat dissipation power is obtained according to the difference between the actual temperature value and the first temperature threshold. A second temperature threshold is further preset, and when the actual temperature value is less than the second temperature threshold, the heat dissipation device is controlled to shut down or reduce the operating power to save energy. A heat dissipation power prediction model is constructed, and the model is trained using historical data to predict the currently required heat dissipation power in real time.
[0037] S5. Control each heat dissipation device according to the heat dissipation partition, the currently required heat dissipation power and the operation data of each heat dissipation device.
[0038] Specifically, the current operating state and operating power required for each heat dissipation device are obtained according to the heat dissipation partition and the currently required heat dissipation power. The corresponding heat dissipation device is controlled to be turned on or off, and its heat dissipation effect is adjusted to ensure that the temperature of each area is kept within a reasonable range.
[0039] The implementation principle of the embodiment of the present application is to realize intelligent management of the heat dissipation of the cabinet server in the computer room. First, by acquiring and analyzing the distribution data of the server and the heat dissipation equipment in the computer room, different heat dissipation areas are effectively divided to improve the heat dissipation efficiency. Secondly, based on the specific heat dissipation power currently required and the actual operating conditions of each heat dissipation device, the working state and operating power of each heat dissipation device are accurately controlled to ensure the heat dissipation demand while avoiding waste of resources. In general, this method not only improves the safety and stability of the computer room environment, but also significantly reduces energy consumption costs.
[0040] In the embodiment of the present application, step S2 of obtaining the heat density layout of the computer room according to the distribution data of the servers and heat dissipation equipment in the computer room includes: S21. Acquire temperature data acquired by temperature detection devices installed at various locations in the computer room.
[0041] S22. Obtain the heat density layout of the computer room according to the temperature data of each position in the computer room and the server distribution data.
[0042] Specifically, accurately obtain the actual temperature data of each location in the computer room, and generate a detailed heat density layout map based on the server distribution S23. Monitor the real-time workload changes of each server in the computer room.
[0043] S24. Dynamically adjust the heat density layout of the computer room according to changes in server workload.
[0044] Specifically, dynamically adjusting the heat density layout of the computer room according to these changes not only improves the flexibility and response speed of the cooling system, but also enables more accurate matching of the actual cooling needs of different areas.
[0045] like Figure 2 As shown, in order to more accurately predict the currently required heat dissipation power and thus achieve more refined control, step S4 of the embodiment of the present application predicts the heat dissipation power through a heat dissipation power prediction model, including: S41, receiving the actual temperature value detected by the temperature detection device.
[0046] S42. Construct an initial model for heat dissipation power prediction.
[0047] S43, obtaining operation data samples, actual temperature value samples and corresponding heat dissipation power samples of the heat dissipation equipment in several heat dissipation control processes in the heat dissipation power prediction database.
[0048] S44. Use the operation data samples and actual temperature value samples of the heat dissipation device as input features, and use the heat dissipation power samples as output features to construct a sample set.
[0049] S45. Train the initial model for heat dissipation power prediction according to the sample set to obtain a trained heat dissipation power prediction model.
[0050] S46, inputting the current actual temperature value and the operation data of the heat dissipation device into the trained heat dissipation power prediction model to obtain the currently required heat dissipation power.
[0051] Specifically, historical data is collected, including operation data samples of the heat dissipation device, actual temperature value samples, and corresponding heat dissipation power samples. These data are used as input features and output features to construct a sample set. Common machine learning algorithms, such as linear regression and support vector machines, are used to train the sample set to obtain a trained heat dissipation power prediction model. In actual applications, the current actual temperature value and the operation data of the heat dissipation device are input into the trained model to quickly obtain the currently required heat dissipation power. This prediction method based on machine learning has higher accuracy and robustness, and can better cope with complex and changeable actual environments. In this way, not only can more precise heat dissipation control be achieved, but potential overheating risks can also be prevented in advance to ensure the safe and stable operation of the server.
[0052] The implementation principle of this embodiment is: by introducing machine learning technology, the accuracy of heat dissipation power prediction is improved, thereby optimizing the heat dissipation control strategy. This intelligent control method not only improves heat dissipation efficiency, but also reduces unnecessary energy consumption, further improving the reliability and economy of the system.
[0053] The embodiment of the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executed by a method for controlling heat dissipation of a cabinet server in a computer room, specifically including: S1. Obtain the distribution data of servers and cooling equipment in the computer room.
[0054] S2. Perform cooling partitioning on the computer room based on the distribution data of servers and cooling equipment in the computer room.
[0055] S3. Operation data of each cooling device.
[0056] S4. Obtain the currently required heat dissipation power.
[0057] S5. Control each heat dissipation device according to the heat dissipation partition, the currently required heat dissipation power and the operation data of each heat dissipation device.
[0058] In addition, the processor in the computer device executes all the steps of the above-mentioned method for controlling the heat dissipation of the cabinet server in the computer room when executing the computer program.
[0059] Wherein, the computer is a server, and the computer device includes a processor, a memory, a network interface and a database connected through a system bus. Wherein, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store operating data of the heat dissipation device, a heat dissipation power prediction model, a first temperature threshold, a second temperature threshold, etc. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a heat dissipation control method for a cabinet server in a computer room is implemented.
[0060] During the specific implementation process, the processor controls the output of the same control circuit parameters to each fan, the speed sensor detects the speed detection value of each fan under the same control circuit parameters, and uploads the speed detection value to the processor; the processor calls the control coefficient prediction model stored in the memory, inputs the control circuit parameters and the speed detection value into the control coefficient prediction model, and obtains the control coefficient of each fan; the temperature sensor detects the current actual temperature value, and uploads the actual temperature value to the processor, the processor compares the actual temperature value with the first temperature threshold in the memory, and generates a control signal to control each fan to turn on, turn off and adjust the speed, wherein the speed control signal needs to be generated according to the control coefficient of each fan.
[0061] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: S1. Obtain the distribution data of servers and cooling equipment in the computer room.
[0062] S2. Perform cooling partitioning on the computer room based on the distribution data of servers and cooling equipment in the computer room.
[0063] S3. Operation data of each cooling device.
[0064] S4. Obtain the currently required heat dissipation power.
[0065] S5. Control each heat dissipation device according to the heat dissipation partition, the currently required heat dissipation power and the operation data of each heat dissipation device.
[0066] When the processor executes the computer program, it can also execute the steps of the heat dissipation control method for a cabinet server in a computer room in any of the above embodiments.
[0067] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM) and memory bus dynamic RAM (RDRAM).
[0068] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.
[0069] The embodiments of this specific implementation are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. The same components are represented by the same figure marks. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.
Claims
1. A method for controlling heat dissipation of a cabinet server in a computer room, characterized in that: include: Obtain the distribution data of servers and cooling equipment in the computer room; The computer room is divided into cooling zones according to the distribution data of servers and cooling equipment in the computer room; Operation data of each heat dissipation device, the operation data including operation status and operation power; Get the currently required heat dissipation power; Each cooling device is controlled according to the cooling zone, the currently required cooling power and the operating data of each cooling device.
2. A method for controlling heat dissipation of a cabinet server in a computer room according to claim 1, characterized in that: The controlling of each heat dissipation device according to the currently required heat dissipation power and the operation data of each heat dissipation device specifically includes: According to the heat dissipation partition and the currently required heat dissipation power, the currently required operating state and operating power of each heat dissipation device are obtained; Control the corresponding cooling equipment to turn on or off according to the current required operating status; The heat dissipation effect of the corresponding heat dissipation device is controlled according to the currently required operating power.
3. A heat dissipation control method for a computer room cabinet server according to claim 1, characterized in that: The heat dissipation partitioning of the computer room according to the distribution data of the servers and heat dissipation equipment in the computer room specifically includes: Obtain the heat density layout of the computer room based on the distribution data of servers and cooling equipment in the computer room; The air supply area and heat exchange area are divided according to the heat density layout of the computer room.
4. A method for controlling heat dissipation of a cabinet server in a computer room according to claim 3, characterized in that: The step of obtaining the heat density layout of the computer room according to the distribution data of the servers and the heat dissipation equipment in the computer room includes: Obtain temperature data from temperature detection devices installed at various locations in the computer room; The heat density layout of the computer room is obtained based on the temperature data of each location in the computer room and the server distribution data.
5. A method for controlling heat dissipation of a cabinet server in a computer room according to claim 4, characterized in that: The step of obtaining the heat density layout of the computer room according to the distribution data of the servers and the heat dissipation equipment in the computer room also includes: Monitor the real-time workload changes of each server in the computer room; Dynamically adjust the heat density layout of the computer room according to changes in server workload.
6. A method for controlling heat dissipation of a cabinet server in a computer room according to claim 1, characterized in that: The obtaining of the currently required heat dissipation power specifically includes: Presetting a first temperature threshold; Receive the actual temperature value detected by the temperature detection device; The currently required heat dissipation power is obtained according to the difference between the actual temperature value and the first temperature threshold value.
7. A method for controlling heat dissipation of a cabinet server in a computer room according to claim 6, characterized in that: Also includes: Preset a second temperature threshold, where the second temperature threshold is lower than the first temperature threshold; Receive the actual temperature value detected by the temperature detection device; When the actual temperature value is less than the second temperature threshold, the heat dissipation device is controlled to be turned off or to reduce the operating power.
8. A method for controlling heat dissipation of a cabinet server in a computer room according to any one of claims 1 to 7, characterized in that: The obtaining of the currently required heat dissipation power also includes: Receive the actual temperature value detected by the temperature detection device; Construct an initial model for heat dissipation power prediction; Obtaining operation data samples, actual temperature value samples and corresponding heat dissipation power samples of the heat dissipation equipment in several heat dissipation control processes in the heat dissipation power prediction database; The operation data samples and actual temperature value samples of the heat dissipation equipment are used as input features, and the heat dissipation power samples are used as output features to construct a sample set; The initial model for heat dissipation power prediction is trained according to the sample set to obtain a trained heat dissipation power prediction model; The current actual temperature value and the operating data of the heat dissipation equipment are input into the trained heat dissipation power prediction model to obtain the currently required heat dissipation power.
9. A computer device, characterized in that: It comprises a memory and a processor, wherein the memory stores a method for controlling heat dissipation of a cabinet server in a computer room as described in any one of claims 1 to 7, which can be loaded and executed by the processor.
10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes a method for controlling heat dissipation of a cabinet server in a computer room as described in any one of claims 1 to 7.