An auxiliary energy-saving control method and system for a data center

Abstract

The present invention discloses an auxiliary energy-saving control method and system for a data center. The central energy-saving control system assigns coefficients to energy-saving adjustment schemes generated based on different parameters according to the priority of monitoring parameters selected by the management personnel. A performance monitor is set to monitor the performance of the servers in the data center to obtain the first energy consumption, and a first energy-saving adjustment scheme is generated according to the first energy consumption of the servers; a sound reception sensor collects the real-time working sound of the servers to obtain the second energy consumption, and a second energy-saving adjustment scheme is generated according to the second energy consumption of the servers; historical information on historical temperature and the server load corresponding to the historical temperature is obtained, fitting modeling is performed based on the historical information, and a decision on temperature control of the server load situation at any time is generated based on the fitted model to generate a third energy-saving adjustment scheme. A total adjustment scheme is generated according to the coefficients, and the adjustment scheme is controlled according to a non-linear mapping corresponding to the temperature of the data center load.

Description

Technical Field

[0001] The present invention relates to the technical field of energy saving in data centers, and in particular, to an auxiliary energy saving control method and system for a data center. Background Art

[0002] A data center, also known as a server farm, refers to a facility for housing computer systems and related components, such as telecommunications and storage systems. The main purpose of a data center is to run applications to process business and operational organizational data. Often these applications consist of multiple hosts, each host running a single component, typically this component is a database, file server, application server, middleware, and various other things.

[0003] In the prior art, the IT computer room of a data center is usually monitored by detecting multiple sensors such as temperature and humidity. The general energy saving method is to save energy by adjusting the cooling capacity to replace excessive cooling. However, the temperature adjustment method generated by a single parameter is not comprehensive. For example, the temperature sensor for collecting temperature cannot collect the global temperature, and it cannot fully collect local overheating. Even if the collected temperature is corrected through a mathematical model, there is still a problem that the adjusted energy saving scheme is not energy-saving enough. Summary of the Invention

[0004] The present invention aims to at least solve one of the technical problems existing in the prior art. For this reason, the present invention discloses an auxiliary energy saving control method for a data center. The method includes the following steps:

[0005] Step 1, the data center management personnel log in to the data center energy saving control system to perform energy saving control on the data center. After the management personnel authenticate their identities in the data center energy saving control system and confirm that they have the authority to control the data center energy saving system, the management personnel select the energy saving control strategy. The center energy saving control system assigns coefficients w1, w2, and w3 to the energy saving adjustment schemes generated based on different parameters according to the priority of the monitoring parameters selected by the management personnel.

[0006] Step 2, set a performance monitor to monitor the performance of the servers in the data center. By monitoring the instructions, caches, and page caches executed by the servers, the first energy consumption model of the servers obtained based on the monitoring events is:

[0007] where P is the first energy consumption of the server, C0 is the energy consumption adjustment constant of the server, Pi represents the event energy consumption within a certain monitoring period, and Ci represents the influence coefficient of the i-th event on the energy consumption. A first energy saving adjustment scheme is generated according to the first energy consumption of the server.

[0008] Step 3: Set the sound receiving sensor to collect the real-time working sound of the server. The higher the server load, the louder the sound generated by the server's cooling fan. Obtain the fitting function of the server energy consumption model based on the relationship between the server energy consumption and the sound: where p sever is the second energy consumption of the server, a0 - a5 are fitting coefficients, u is the volume value when the server is working, n is the number of units, du is the basic volume value when the server is working, and generate the second energy-saving adjustment plan according to the second energy consumption of the server;

[0009] Step 4: Obtain the historical information of the historical temperature and the server load corresponding to the historical temperature, perform fitting modeling based on the historical information, and generate the third energy-saving adjustment plan for making decisions on temperature control of the server load at any time based on the fitted model;

[0010] Step 5: Generate the total adjustment plan H(x) according to the coefficients of the pre-allocated energy-saving adjustment plans generated. The total adjustment plan is the weighted average of each energy-saving adjustment plan, that is where w1 - w3 are the coefficients assigned to the three adjustment plans, x1 is the first energy-saving adjustment plan, x2 is the second energy-saving adjustment plan, x3 is the third energy-saving adjustment plan, and the adjustment plan is controlled according to the non-linear mapping set by the temperature corresponding to the data center load.

[0011] Furthermore, the data center includes an IT computer room, a power distribution room, a battery room, a weak current room, a test room, a tape room, a network computer room, a cold station, a diesel generator room, and a pump room.

[0012] Furthermore, the energy-saving adjustment plan is to generate the controlled supply air temperature, humidity, actual supply air temperature, and humidity of the refrigeration device.

[0013] Furthermore, the data center load can be divided into: lighting load, IT load, office equipment load, UPS load, and power transmission equipment load.

[0014] Furthermore, Step 1 further includes: the central energy-saving control system stores the historical data of the energy-saving adjustment plan and generates an analysis report, recommends the optimal priority ranking according to the historical adjustment effect, and the management personnel modify the allocation coefficients according to the analysis report.

[0015] Furthermore, the adjustment plan being controlled according to the non-linear mapping set by the temperature corresponding to the data center load further includes: the performance monitor collects the operating status and performance data of the server, obtains the temperature, humidity, and sound parameters inside the cabinet, and the energy-saving control system performs modeling based on the collected historical data and the real-time received data to establish a load power consumption and performance model.

[0016] Further, after the identity verification in the energy-saving control system of the data center, the management staff further includes: the energy-saving control system of the data center first verifies whether the role of the management staff is a worker with the ability to operate and maintain the data center. The energy-saving control system of the data center pre-stores the operation and maintenance level of the management staff and the corresponding operation permissions of the operation and maintenance level. Then, the energy-saving control system of the data center verifies whether the operation and maintenance level of the management staff has the permission to select the energy-saving strategy. If the management staff does not have the selection permission, the energy-saving control system of the data center does not execute the operation of the management staff regarding the energy-saving strategy.

[0017] Further, step 3 further includes: arranging the discrete distribution of the sound reception sensors, and using the method of interpolation or fitting to estimate the sound intensity between each sensor, so as to obtain the sound distribution of the entire IT computer room, filtering the collected sound to remove the sound generated by non-servers, and calculating and fitting the filtered sound data.

[0018] Furthermore, the present invention also discloses a computer system, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the above method are implemented.

[0019] Furthermore, the present invention also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0020] Compared with the prior art, the beneficial effects of the present invention are as follows: ① The present invention judges the load condition of the servers in the IT computer room through sound parameters, which is not available in the prior art. After simple sound sensors and through sound filtering and other processes, the fitting energy consumption of the servers is obtained based on the fitting function. ② Existing energy-saving solutions for data centers determine the energy consumption of servers based on a single parameter. The present invention generates an energy-saving control strategy with the assistance of other parameters. In the case of any one or more sensors failing, the control strategy provided by the present invention can still complete the generation and adjustment of the control strategy, while the adjustment scheme in the prior art requires repairing the sensors before adjustment. The present invention provides a method for generating an adjustment strategy for temperature parameters, that is, multiple adjustment strategies can be generated to assist in verifying whether the sensors are sensitive and whether the collected data is accurate. ③ The present invention conducts a dual safety verification for the management staff, that is, first verify that the administrator has the operation and maintenance qualification, and then judge whether they have the permission to modify and adjust the energy-saving plan, effectively reducing misoperations and avoiding waste of resources and electric energy caused by misoperations of non-professionals. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the drawings are not necessarily drawn to scale, but the emphasis is on showing the principles of the embodiments. In the drawings, the same reference numerals designate corresponding parts in different views.

[0022] Figure 1 is a flowchart of an auxiliary energy-saving control method for a data center of the present invention.

[0023] Figure 2 is a hardware structure diagram of a specific embodiment of the present invention. Detailed Embodiments

[0024] The technical solution of the present invention will be described in more detail below in conjunction with the accompanying drawings and embodiments.

[0025] Now, mobile terminals implementing various embodiments of the present invention will be described with reference to the accompanying drawings. In the following description, suffixes such as "module", "component", or "unit" used to denote elements are only for the convenience of explaining the present invention and have no specific meaning in themselves. Therefore, "module" and "component" can be used interchangeably.

[0026] The mobile terminal can be implemented in various forms. For example, the terminals described in the present invention can include mobile terminals such as mobile phones, smart phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Tablet Computers), PMPs (Portable Multimedia Players), navigation devices, etc., and fixed terminals such as digital TVs, desktop computers, etc. Hereinafter, it is assumed that the terminal is a mobile terminal. However, those skilled in the art will understand that, except for elements specifically for mobile purposes, the configuration according to the embodiments of the present invention can also be applied to fixed-type terminals.

[0027] Refer to Figure 2 As shown, it is a schematic diagram of the hardware architecture of an embodiment of a computer device of the present invention. In this embodiment, the computer device 2 is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions. For example, it can be a smart phone, a tablet computer, a laptop computer, a desktop computer, a rack-mounted server, a blade server, a tower server, or a cabinet server (including an independent server or a server cluster composed of multiple servers). As shown in the figure, the computer device 2 at least includes, but is not limited to, a memory 21, a processor 22, and a network interface 23 that can communicate with each other through a system bus. Among them:

[0028] The memory 21 at least includes one type of computer-readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disc, etc. In some embodiments, the memory 21 may be an internal storage unit of the computer device 2, such as the hard disk or memory of the computer device 2. In other embodiments, the memory 21 may also be an external storage device of the computer device 2, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, etc., equipped on the computer device 2. Of course, the memory 21 may also include both the internal storage unit and the external storage device of the computer device 2. In this embodiment, the memory 21 is generally used to store the operating system and various application software installed on the computer device 2, such as a computer program for implementing the auxiliary energy-saving control method of the data center, etc. In addition, the memory 21 may also be used to temporarily store various data that have been output or will be output.

[0029] In some embodiments, the processor 22 may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips. The processor 22 is generally used to control the overall operation of the computer device 2, such as performing control and processing related to data interaction or communication with the computer device 2. In this embodiment, the processor 22 is used to run the program code stored in the memory 21 or process data, such as running a computer program for implementing the auxiliary energy-saving control method of the data center, etc.

[0030] The network interface 23 may include a wireless network interface or a wired network interface, which is generally used to establish a communication connection between the computer device 2 and other computer devices. For example, the network interface 23 is used to connect the computer device 2 to an external terminal through a network, and establish a data transmission channel and a communication connection between the computer device 2 and the external terminal. The network may be a wireless or wired network such as an enterprise intranet (Intranet), the Internet, Global System of Mobile communication (GSM), Wideband Code Division Multiple Access (WCDMA), 4G network, 5G network, Bluetooth, Wi-Fi, etc.

[0031] It should be noted that Figure 2 Only the computer device 2 with components 21-23 is shown, but it should be understood that it is not required to implement all the shown components, and more or fewer components can be alternatively implemented.

[0032] In this embodiment, the computer program stored in the memory 21 for implementing the auxiliary energy-saving control method of the data center can be executed by one or more processors (processor 22 in this embodiment) to complete the operations of the following steps:

[0033] Step 1, the data center administrator logs in to the data center energy-saving control system to perform energy-saving control on the data center. After the administrator authenticates his identity in the data center energy-saving control system and confirms that he has the authority to control the data center energy-saving system, the administrator selects an energy-saving control strategy. The center energy-saving control system assigns coefficients w1, w2, w3 to the energy-saving adjustment schemes generated based on different parameters according to the priority of the monitoring parameters selected by the administrator.

[0034] Step 2, set a performance monitor to monitor the performance of the servers in the data center. By monitoring the instructions, caches, and page caches executed by the servers, the first energy consumption model of the servers obtained based on the monitoring events is:

[0035] where P is the first energy consumption of the server, C0 is the energy consumption adjustment constant of the server, Pi represents the event energy consumption within a certain monitoring period, Ci represents the influence coefficient of the i-th event on the energy consumption, and a first energy-saving adjustment scheme is generated according to the first energy consumption of the server.

[0036] Step 3: Set the sound reception sensor to collect the real-time working sound of the server. The higher the server load, the greater the sound generated by the server's cooling fan. The fitting function of the server energy consumption model obtained based on the relationship between server energy consumption and sound: where p sever is the second energy consumption of the server, a0 - a5 are fitting coefficients, u is the volume value when the server is working, n is the number of units, du is the basic volume value when the server is working. Generate a second energy-saving adjustment plan according to the second energy consumption of the server;

[0037] In this step, the method adopted in the prior art, for example, monitors and analyzes the noise frequency domain of the server to obtain the rotation speed of the server's cooling fan, understands the operating load status of the server according to the rotation speed of the cooling fan, obtains the operating temperature of the corresponding server according to the rotation speed of the cooling fan, and controls the cooling value of the computer room environment according to the operating temperature. However, the present invention is not only aimed at the sound generated by the server's cooling fan. Generally, the prior art collects the noise values generated by the server under various load conditions, the rotation speed of the server's cooling fan corresponding to each corresponding noise value, and the operating temperature corresponding to each noise value of the server, and makes a lookup form to form a noise temperature distribution model of the server. On this basis, the present invention constructs the sound collection sensor not only in the server cabinet, but uses multiple collection sensors to construct in the entire IT computer room. The collected is not only the fan volume of IT equipment, but also, at the same time, the entire volume inside the computer room, that is, generally including the operating sound of the computer room server and the sound of refrigeration equipment such as air conditioners. This application considers the basic volume value of the server working for fitting, filters the collected sound by setting multiple filtering functions, and determines the sound generated by the server and the sound generated by the refrigeration equipment. The basic volume value of the server working includes the sound generated by the refrigeration equipment. The multiple filtering functions include filtering functions for refrigeration equipment.

[0038] In one embodiment, the present invention further analyzes the sound of the refrigeration equipment to determine whether the refrigeration equipment is working properly. When it is determined that the refrigeration equipment is working abnormally, an alarm is sent to the management personnel with the authority to repair the refrigeration equipment.

[0039] Step 4: Obtain the historical information of the historical temperature and the server load corresponding to the historical temperature, perform fitting modeling based on the historical information, and generate a third energy-saving adjustment plan for making a decision on temperature control of the server load at any time based on the fitted model;

[0040] Step 5: Generate a total adjustment plan H(x) according to the coefficients of the pre-allocated energy-saving adjustment plans generated. The total adjustment plan is the weighted average of each energy-saving adjustment plan, that is Among them, w1 - w3 are the coefficients allocated for three adjustment schemes, x1 is the first - stage energy - saving adjustment scheme, x2 is the second - stage energy - saving adjustment scheme, and x3 is the third - stage energy - saving adjustment scheme. The adjustment scheme is controlled according to the non - linear mapping set based on the temperature corresponding to the data center load.

[0041] Furthermore, the data center includes an IT computer room, a power distribution room, a battery room, a weak - current room, a test room, a tape room, a network computer room, a cold station, a diesel - generator room, and a pump room.

[0042] Furthermore, the energy - saving adjustment scheme is to generate the controlled supply air temperature, humidity, and the actual supply air temperature, humidity of the refrigeration device.

[0043] Furthermore, the data center load can be divided into: lighting load, IT load, office equipment load, UPS load, and power transmission equipment load.

[0044] Furthermore, step 1 further includes: the central energy - saving control system stores the historical data of the energy - saving adjustment scheme and generates an analysis report, recommends the optimal priority ranking according to the historical adjustment effect, and the management personnel modify the allocation coefficients according to the analysis report.

[0045] Furthermore, that the adjustment scheme is controlled according to the non - linear mapping set based on the temperature corresponding to the data center load further includes: the performance monitor collects the operation status and performance data of the server, obtains the collection of temperature, humidity, and sound parameters inside the cabinet, and the energy - saving control system models based on the collected historical data and the data received in real - time to establish a load power consumption and performance model.

[0046] Furthermore, after the management personnel authenticate in the data center energy - saving control system, it further includes: the data center energy - saving control system first verifies whether the role of the management personnel is a staff member with the ability to operate and maintain the data center. The data center energy - saving control system pre - stores the operation and maintenance levels of the management personnel and the operation permissions corresponding to the operation and maintenance levels. Then the data center energy - saving control system verifies whether the operation and maintenance level of the management personnel has the permission to select the energy - saving strategy. If the management personnel do not have the selection permission, the data center energy - saving control system does not execute the operations of the management personnel regarding the energy - saving strategy.

[0047] Furthermore, step 3 further includes: arranging the discrete distribution of the sound - receiving sensors, using the method of interpolation or fitting to estimate the sound intensity between each sensor, so as to obtain the sound distribution of the entire IT computer room, filtering the collected sound to remove the sound not generated by the server, and calculating and fitting the filtered sound data.

[0048] The energy-saving control strategy includes parameter control of multiple devices with designed energy consumption, that is, it includes adjusting multiple control item parameters, such as controlling the opening and closing of refrigeration equipment, the opening / closing of refrigeration mode and the opening / closing of heating mode, as well as the time and duration. The control strategy is to allocate different refrigeration control instructions at different times. For example, maintain a temperature of 15 degrees for 10 minutes and deliver refrigeration at maximum air volume, and then turn off the refrigeration. It can even include the selection of charge and discharge control of the UPS.

[0049] In one embodiment, the computer room is equipped with a temperature sensor, and the above control method is selected to be executed after detecting a malfunction of the temperature sensor.

[0050] In one embodiment, the computer room is equipped with a temperature sensor. After the temperature sensor works normally and an energy-saving control plan is generated based on the temperature distribution measured by the temperature sensor in the computer room, a strategy is generated through the above energy-saving control strategy generation method. The adjustment plan generated based on temperature is compared with the adjustment plan generated by the above method. When the similarity of multiple control item parameters is less than the first similarity, the adjustment plan generated by the above method is not executed, but only the plan generated based on temperature is executed. When the similarity of multiple control item parameters is greater than the first similarity, an alarm is sent to the management personnel with the permission to verify the temperature sensor, and the adjustment plan generated by the above method is executed instead of the energy-saving strategy generated based on temperature.

[0051] The energy-saving strategy generated based on temperature, for example, when it is detected that the indoor-outdoor temperature difference is less than the set temperature ±3°C, the control terminal controls and turns off the air conditioner; when the indoor temperature is greater than the set temperature, the control terminal switches to the refrigeration mode.

[0052] Furthermore, the present invention also discloses a computer system, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the above method are implemented.

[0053] Furthermore, the present invention also discloses a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by the processor, the steps of the above method are implemented.

[0054] The described data center energy-saving system includes several intelligent power distribution cabinets, UPS battery packs, several air conditioners, several raised floors, and several cabinets placed in the data center. There are several servers in the cabinets, and a collection and control device is provided in the data center. The collection and control device collects the micro-environment data inside and outside the cabinets. The micro-environment data refers to the data of temperature, humidity, air flow, and air pressure. The collection and control device uploads the collected data to the background. A wind speed sensor and a wind direction sensor are provided on the raised floor to collect the wind speed and wind direction data of the raised floor. The data collected by the wind speed sensor and the wind direction sensor are uploaded to the background through a communication network. The intelligent power distribution cabinet collects the three-phase operation data of the power supply and distribution system, and the intelligent power distribution cabinet uploads the collected operation data to the background through a communication device using the communication network. The air conditioner collects its own operation parameters and mode data, and the air conditioner uploads the collected data to the background through a communication device using the communication network. The server collects the internal operation status data through its own board card, and the server transmits the collected internal operation status data to the background through the communication network. A wireless temperature sensor is adhered to the surface of the UPS battery pack, and the surface temperature of the UPS battery pack collected by the wireless temperature sensor is uploaded to the background. The operation information of the UPS is uploaded to the background through a wireless communication device directly installed at the UPS data port. The background performs modeling analysis on the received data, and then controls the overall environment of the data center.

[0055] It should also be noted that the term "including", "comprising" or any other variant thereof is intended to cover a non-exclusive inclusion, such that a process, method, commodity or device including a series of elements not only includes those elements but also includes other elements not expressly listed, or further includes elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "including a..." does not exclude the existence of additional identical elements in the process, method, commodity or device including the element.

[0056] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0057] Although the present invention has been described above with reference to various embodiments, it should be understood that many changes and modifications can be made without departing from the scope of the present invention. Therefore, it is intended that the foregoing detailed description be considered illustrative rather than restrictive, and it should be understood that the following claims (including all equivalents) are intended to define the spirit and scope of the present invention. These embodiments should be understood to be only for illustrating the present invention and not for limiting the scope of protection of the present invention. After reading the content described in the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims

1. An auxiliary energy-saving control method for a data center, characterized in that The method includes the following steps: Step 1, the data center manager logs in to the data center energy-saving control system to perform energy-saving control on the data center. After the manager is authenticated in the data center energy-saving control system and it is confirmed that the manager has the permission to control the data center energy-saving system, the manager selects an energy-saving control strategy. The central energy-saving control system assigns coefficients w1, w2, and w3 to the energy-saving adjustment schemes generated based on different parameters according to the priority of the monitoring parameters selected by the manager. Step 2, set up a performance monitor to monitor the performance of the servers in the data center. By monitoring the instructions, cache, and page cache executed by the servers, the first energy consumption model of the servers obtained based on the monitoring events is: where P is the first energy consumption of the server, C0 is the energy consumption adjustment constant of the server, Pi represents the event energy consumption within a certain monitoring period, and C i represents the influence coefficient of the i-th event on the energy consumption. Generate a first energy-saving adjustment plan according to the first energy consumption of the server; Step 3, set the sound receiving sensor to collect the real-time working sound of the server. The higher the server load, the greater the sound generated by the server's cooling fan. The fitting function of the server energy consumption model obtained based on the relationship between server energy consumption and sound: where P sever is the second energy consumption of the server, a0 - a5 are fitting coefficients, u is the volume value when the server is working, n is the number of units, du is the basic volume value when the server is working, and generate a second energy-saving adjustment plan according to the second energy consumption of the server; Step 4, obtain historical information on historical temperature and the server load corresponding to the historical temperature, perform fitting modeling based on the historical information, and generate a third energy-saving adjustment scheme for making a decision on temperature control of the server load at any time based on the fitted model. Step 5, generate the overall adjustment plan H(x) according to the coefficients of the pre-allocated energy-saving adjustment plans, where the overall adjustment plan is the weighted average of each energy-saving adjustment plan, that is where w1-w3 are the coefficients allocated for the three adjustment plans, x1 is the first energy-saving adjustment plan, x2 is the second energy-saving adjustment plan, and x3 is the third energy-saving adjustment plan, and the adjustment plan is controlled according to the non-linear mapping set according to the temperature corresponding to the data center load.

2. The auxiliary energy-saving control method for a data center according to claim 1, characterized in that The data center includes an IT computer room, a power distribution room, a battery room, a weak current room, a test room, a tape room, a network computer room, a cold station, a diesel generator room, and a pump room.

3. The auxiliary energy-saving control method for a data center according to claim 2, characterized in that, The energy-saving adjustment scheme is to generate the controlled supply air temperature, humidity, actual supply air temperature, and humidity of the refrigeration device.

4. The auxiliary energy-saving control method for a data center according to claim 3, characterized in that, The data center load can be divided into: lighting load, IT load, office equipment load, UPS load, and power transmission equipment load.

5. The auxiliary energy-saving control method for a data center according to claim 1, characterized in that Step 1 further includes: the central energy-saving control system stores the historical data of the energy-saving adjustment scheme and generates an analysis report, recommends the optimal priority ranking according to the historical adjustment effect, and the manager modifies the distribution coefficients according to the analysis report.

6. The auxiliary energy-saving control method for a data center according to claim 1, characterized in that The adjustment scheme for controlling according to the non-linear mapping corresponding to the temperature of the data center load further includes: the performance monitor collects the operating status and performance data of the server, obtains the collection of temperature, humidity, and sound parameters inside the cabinet, and the energy-saving control system performs modeling based on the collected historical data and the data received in real time to establish a load power consumption and performance model.

7. The auxiliary energy-saving control method for a data center according to claim 1, characterized in that, After the manager is authenticated in the data center energy-saving control system, it further includes: the data center energy-saving control system first verifies whether the role of the manager is a staff member with the ability to operate and maintain the data center. The data center energy-saving control system pre-stores the operation and maintenance level of the manager and the operation permissions corresponding to the operation and maintenance level. Then the data center energy-saving control system verifies whether the operation and maintenance level of the manager has the permission to select the energy-saving strategy. If the manager does not have the selection permission, the data center energy-saving control system does not execute the operation of the manager regarding the energy-saving strategy.

8. The auxiliary energy-saving control method for a data center according to claim 7, characterized in that, Step 3 further includes: arranging the discrete distribution of the sound receiving sensors, estimating the sound intensity between each sensor by using interpolation or fitting methods, so as to obtain the sound distribution of the entire IT computer room, performing filtering processing on the collected sound, removing the sound generated by non-servers, and performing calculation and fitting on the filtered sound data.

9. A computer system, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 8.

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