A data room precision air conditioning intelligent energy-saving system and method

Abstract

The application relates to the technical field of intelligent air conditioning systems, in particular to a data machine room precision air conditioning wisdom energy-saving system and method, which comprises the following: an environment detection module, which is used for detecting environment parameters in a machine room to obtain detection data; an energy efficiency control module, which is used for acquiring the detection data, determining an operation mode of an air conditioner based on the detection data and generating a control instruction, wherein the operation mode comprises an original mode and an energy-saving mode; a switch module, which is arranged on a supply fan and a compressor of the air conditioner, and is used for controlling the on-off of the supply fan and the compressor according to the determined operation mode and the corresponding control instruction; and a variable frequency control module, which is arranged on the air conditioner to realize variable frequency speed regulation control in the confirmed operation mode according to the corresponding control instruction, so as to realize supply air volume control of the supply fan and compression intensity control of the compressor. The application has the effect of reducing air conditioner energy waste in the data machine room.

Description

Technical Field

[0001] This application relates to the technical field of intelligent air conditioning systems, and in particular to a smart energy-saving system and method for precision air conditioning in data centers. Background Technology

[0002] Because data centers contain a large number of electrical devices, the heat load inside them varies greatly. Therefore, air conditioning systems are generally required to cool down data centers.

[0003] The cooling process of an air conditioner is as follows: the high-temperature return air in the machine room is cooled by the evaporator. The compressor compresses the refrigerant gas, which has absorbed heat energy through the evaporator, into a high-pressure gas, and then sends it to the condenser of the outdoor unit. The condenser releases the heat energy of the high-temperature, high-pressure gas into the surrounding air through a fan, causing the high-temperature, high-pressure gas to condense back into a liquid. Then it is sent to the expansion valve. The expansion valve cools the liquid refrigerant, turning it into a liquid-gas mixture. It then absorbs heat from the machine room environment and evaporates back into a gaseous refrigerant, which is then sent back to the compressor. The process repeats. The refrigerant cools the high-temperature return air in the room and is then sent back into the room by the blower.

[0004] The traditional air conditioners currently used in computer rooms are set with an upper and lower temperature limit, and the compressor is constantly started and stopped to regulate the room temperature based on the current indoor temperature. This method leads to a lot of energy waste. Summary of the Invention

[0005] The purpose of this application is to reduce energy waste from air conditioning in data centers.

[0006] Firstly, this application provides a smart energy-saving precision air conditioning system for data centers, which adopts the following technical solution: A smart energy-saving precision air conditioning system for data centers includes: An environmental monitoring module is used to monitor environmental parameters within the computer room to obtain monitoring data, wherein the environmental parameters include at least temperature. An energy efficiency control module is used to acquire the detection data, determine the operating mode of the air conditioner based on the detection data, and generate corresponding control commands. The operating mode includes the original mode and the energy-saving mode. A switch module is installed on the blower and compressor of the air conditioner. The switch module is used to control the on and off of the blower and compressor according to the determined operating mode and corresponding control commands. A variable frequency control module is installed on the air conditioner to realize variable frequency speed control in a confirmed operating mode according to the corresponding control commands. The variable frequency speed control realizes the control of the air supply volume of the blower and the compression intensity of the compressor.

[0007] In other embodiments, in the original mode, the compressor runs at full load and switches between start and stop according to environmental parameters, and the blower runs at full load 24 hours a day. In energy-saving mode, the compressor dynamically adjusts the compression intensity according to the environmental parameters, and the blower dynamically adjusts the air volume according to the environmental parameters.

[0008] In other embodiments, an air conditioning statistics module is also included, which is used to count the number, location and number of compressors of the air supply fans in a data center to obtain layout information, wherein one air supply fan corresponds to one compressor. The air conditioning statistics module is also used to send the layout information to the energy efficiency control module to adjust the control commands.

[0009] In other embodiments, in energy-saving mode, the control commands include performance control commands and unit count control commands; The performance control command is characterized as controlling the output frequency of the frequency converter control module to adjust the compressor strength and / or the air volume of the blower. The unit control command represents the control of the switching module to change the number of blowers and compressors in operation. The energy efficiency control module selects and generates performance control commands and / or unit count control commands based on the number and location of the blowers and compressors in the current data center, as well as the detection information, in the layout information.

[0010] In other embodiments, the environmental detection module includes a supply air temperature detection unit, a return air temperature detection unit, and a room temperature detection unit. The supply air temperature detection unit is installed on the supply fan to detect the supply air temperature, the return air temperature detection unit is installed on the return air fan to detect the return air temperature, and a plurality of room temperature detection units are provided, which are distributed in various effective locations in the computer room. The effective locations are characterized as the locations where equipment exists within the temperature detection range. The supply air temperature detection unit, return air temperature detection unit, and room temperature detection unit are each equipped with a corresponding independent number.

[0011] In other embodiments, the method further includes a data twin module and a display module. The data twin module is used to acquire the detection data corresponding to each environmental detection module in the computer room and the location of each air supply fan. Based on the detection data and the location of the air supply fans, it generates a twin environment map corresponding to the current computer room. The twin environment map includes the detection data of the room temperature detection unit corresponding to each location in the computer room, the air supply temperature detection unit number corresponding to the air supply fan that affects the temperature of each location in the computer room, the current temperature, the current air volume, the compression intensity of the compressor corresponding to the air supply fan, and the location of each piece of equipment in the computer room. The display module is used to display the twin environment diagram.

[0012] In other embodiments, the energy efficiency control module further includes an adjustment prediction unit, which is used to generate different modes of pre-selected operation and pre-selected control instructions based on various data in the twin environment diagram, and send the pre-selected operation and pre-selected control instructions to the data twin module so that it can simulate the operation of each pre-selected operation mode and pre-selected control instruction in the twin environment diagram. The data twin module acquires historical operating data and combines it with the detection data of each environmental detection module under different pre-selected operating modes and pre-selected control commands to calculate the simulation results. Based on the simulation results, the optimal pre-selected operating mode and pre-selected control command are selected.

[0013] In other embodiments, the optimal pre-selected operating mode and pre-selected control command include energy-saving optimization and full-load optimization, wherein energy-saving optimization is characterized by the most energy-efficient pre-selected operating mode and pre-selected control command, and full-load optimization is characterized by the pre-selected operating mode and pre-selected control command that cools down the fastest.

[0014] In some other embodiments, the variable frequency speed control implemented by the variable frequency control module is variable frequency stepless speed regulation.

[0015] Secondly, this application provides a smart energy-saving method for precision air conditioning in data centers, which adopts the following technical solution: A smart energy-saving method for precision air conditioning in data centers, characterized in that it is applied to the aforementioned smart energy-saving system for precision air conditioning in data centers.

[0016] In summary, this application includes the following beneficial technical effects: The precision air conditioning intelligent energy-saving system, developed to improve the energy efficiency of data center air conditioning systems, dynamically adjusts the operation of the air supply fan and compressor by measuring the temperature changes in the data center in real time, switching operating modes, and obtaining a precise temperature control scheme through control commands. This enables on-demand supply of cooling capacity and reduces the waste of air conditioning energy. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of module connections in some embodiments of this application; Figure 2 This is a schematic diagram of module connections in some embodiments of this application; Figure 3 These are power diagrams in the original mode and energy-saving mode in the embodiments of this application; Figure 4 This is a diagram showing the energy efficiency ratio calculation before and after the frequency conversion modification in the embodiments of this application. Detailed Implementation

[0018] The following is in conjunction with the appendix Figure 1 - Appendix Figure 4 This application will be described in further detail below.

[0019] like Figure 1 and Figure 2 As shown, a smart energy-saving precision air conditioning system for data centers includes: The environmental monitoring module is used to monitor environmental parameters within the computer room to obtain monitoring data. Environmental parameters include at least temperature.

[0020] Temperature is the most significant factor affecting the operation and safety of equipment within a computer room. Furthermore, in addition to temperature, environmental parameters also include humidity. Humidity affects the operating status and malfunctions of equipment, and it can also be regulated through air circulation via air conditioning.

[0021] The energy efficiency control module is used to acquire detection data, determine the operating mode of the air conditioner based on the detection data, and generate corresponding control commands. The operating modes include the original mode and the energy-saving mode.

[0022] In the original mode, the compressor runs at full load and frequently starts and stops based on environmental parameters, while the blower runs at full load 24 hours a day.

[0023] In energy-saving mode, the compressor dynamically adjusts the compression intensity according to environmental parameters, and the blower dynamically adjusts the air volume according to environmental parameters.

[0024] In other words, in the original mode, there is no dynamic adjustment. Regardless of the temperature in the data center, the air supply fan is always on and running at full load, while the compressor is kept at full load and maintains the compression of the refrigerant by frequently starting and stopping. Its compression and air supply efficiency will not change due to changes in indoor temperature.

[0025] The energy-saving mode takes into account environmental parameters and intelligently adjusts the air volume and compression intensity according to the indoor temperature. When the room temperature is high, the air volume and compression intensity are large, and when the room temperature is low, the air volume and compression intensity are small. This ensures that energy is not wasted and achieves optimal energy use in different environments.

[0026] Figure 3 The total power in the original mode and the energy-saving mode was disclosed, as well as the power of the compressor and fan in the original mode. According to the chart, the total power in the energy-saving mode is significantly lower than that in the original mode.

[0027] Therefore, based on the test data, you can choose which mode to use. For example, when the room temperature is very high due to the heavy workload of the equipment, you can use the original mode. When the room temperature drops to a certain range or during routine maintenance, you can switch to the energy-saving mode and adjust the cooling strategy according to the specific temperature. In other words, you can issue different control commands to achieve dynamic adjustment and supply cooling capacity on demand.

[0028] In this embodiment, the energy efficiency control module is a CRAC controller and a Digi-CRAC optimizer. CRAC refers to the computer room air conditioning system. The CRAC controller is used to control various data and functions of the equipment and is generally a microcontroller, while the Digi-CRAC optimizer is an energy efficiency control cabinet or a corresponding energy efficiency control device.

[0029] The switch module is installed on the blower and compressor of the air conditioner. The switch module is used to control the on and off of the blower and compressor according to the determined operating mode and corresponding control commands.

[0030] In this embodiment, the switching module is a contactor. The function of the contactor is to control a high-current load with a small current, enabling remote control. It also has a self-locking and interlocking function to prevent accidents caused by malfunctions. It can select to control the on / off state of the corresponding blower and compressor according to the specific operating mode and corresponding control commands.

[0031] The variable frequency control module is installed on the air conditioner to realize variable frequency speed control in the confirmed operating mode according to the corresponding control commands. The variable frequency speed control realizes the control of the air supply volume of the blower and the compression intensity of the compressor.

[0032] The variable frequency control module is a corresponding frequency converter, which can adjust the operating speed of the blower and compressor according to the frequency control, thereby changing the air volume and compression intensity.

[0033] Through the above design, a precision air conditioning intelligent energy-saving system developed for improving the energy efficiency of data center air conditioning systems can dynamically adjust the operation of the air supply fan and compressor by measuring the temperature changes in the data center in real time, changing the operating mode, and obtaining a fine temperature control scheme through control commands. This enables the supply of cooling capacity on demand and reduces the waste of air conditioning energy.

[0034] like Figure 2 As shown, in some other embodiments, an air conditioning statistics module is also included, which is used to count the number, location and number of compressors of the air supply fans in a data center to obtain layout information, with one air supply fan corresponding to one compressor.

[0035] The air conditioning statistics module is also used to send layout information to the energy efficiency control module to adjust control commands.

[0036] Most data centers typically have multiple air conditioning units consisting of compressors, blowers, evaporators, and return air fans. As the two most important devices for temperature change in the cooling process, the location and number of compressors and blowers have a significant impact on the actual cooling effect.

[0037] For example, if the equipment in a computer room in a certain area generates heat due to high load, causing the room temperature to rise, there may be two ways to achieve the same cooling effect. One is to increase the air volume of the air supply fan near the equipment and increase the compression intensity of the compressor corresponding to the air supply fan. The other is to run all the air supply fans in the data center at full load and all the compressors corresponding to the air supply fans at full load. Although the cooling effect is the same, the final energy consumption is also predictable. The first method is more energy-efficient because increasing the air volume of the air supply fan near the heat source can also achieve a rapid cooling effect.

[0038] Therefore, by statistically analyzing the number and location of each air supply fan and the number of each compressor, the specific distribution of the air conditioning units in the computer room can be obtained. Based on the relative positional relationship between the computer room equipment and each air supply fan, a more precise and scientific cooling scheme can be obtained. The control commands obtained initially can be adjusted according to the corresponding cooling scheme, so that the control commands can achieve a reasonable balance between the control of local air supply fans and the control of global air supply fans.

[0039] Specifically, in energy-saving mode, control commands include performance commands and unit count control commands.

[0040] The performance control command is characterized as controlling the output frequency of the frequency converter control module to adjust the compressor strength and / or the air volume of the blower.

[0041] The number of units control commands represents the number of blowers and compressors that control the on / off state of the control switch module to change their operating status.

[0042] The energy efficiency control module selects and generates performance control commands and / or unit count control commands based on the number and location of the blowers and compressors in the current data center, as well as the detection information in the layout information.

[0043] Performance control commands can adjust the fan speed (air volume of the blower) and cooling (compressor strength) via frequency conversion, while the number control commands control the number of working blowers and compressors. By using layout information, it can determine how many blowers and compressors are in the computer room, and based on the location of the blowers, it can determine whether to change the cooling effect by modifying the performance of a particular blower and its associated compressor, or by increasing or decreasing the number of working blowers and compressors.

[0044] If the high ambient temperature is caused by high load on local equipment, then increasing the performance of the nearby fans and compressors to achieve cooling is a reasonable approach, in which case performance control commands should be switched. If the high ambient temperature is caused by high load on many devices, then adjusting all fans and compressors in the computer room to full operating status for rapid cooling is reasonable. By switching between different operating modes in different situations using the above methods, energy waste can be minimized while ensuring effective cooling.

[0045] Performance control commands and unit quantity control commands can also be generated simultaneously. For example, if the overall room temperature is high, but the room temperature in some local areas is particularly high, then the performance of the blowers and compressors in the local areas can be enhanced by increasing the number of units, so as to achieve intelligent switching. Through multi-compressor energy-saving optimization, the working efficiency and cooling capacity of each air conditioning unit can be automatically analyzed to determine the number of compressors and blowers and the performance switching point, so as to ensure that the evaporation heat transfer efficiency is maximized and the overall energy efficiency is minimized.

[0046] In other embodiments, the environmental monitoring module includes a supply air temperature monitoring unit, a return air temperature monitoring unit, and a room temperature monitoring unit.

[0047] All of the above detection units are temperature sensors with network connectivity.

[0048] The supply air temperature detection unit is installed on the supply air fan to detect the supply air temperature, the return air temperature detection unit is installed on the return air fan to detect the return air temperature, and there are several room temperature detection units, which are distributed in various effective locations within the computer room. The effective location indicates the location of computer room equipment within the temperature detection range.

[0049] Return air temperature and room temperature are not the same concept. Because the return air fan may be located far from where the equipment is concentrated, the room temperature detection unit near the equipment may detect a higher temperature, while the return air detection unit may detect a lower temperature. This is because the return air fan is far from the equipment, so the area where it is located is less affected by the heat generated by the equipment. Therefore, whether to cool down and the adjustment of cooling commands should be based on the room temperature. The temperature detection of the supply fan, on the other hand, can determine the current airflow temperature provided by the supply fan.

[0050] The above-mentioned supply air temperature, return air temperature, and room temperature can be used to obtain a corresponding temperature relationship diagram. The supply air temperature has a certain degree of influence on the room temperature and return air temperature, and this relationship is relatively stable. What kind of room temperature requires what kind of supply air temperature, and what kind of supply air temperature will have a certain impact on the room temperature and return air temperature, can all be recorded by various temperature detection units and used as historical data for subsequent needs.

[0051] Furthermore, each supply air temperature detection unit, return air temperature detection unit, and room temperature detection unit is equipped with a corresponding independent number. The independent number is used to distinguish each detection unit. The numbering rule can be a combination of letters and numbers, such as a supply air temperature detection unit being A-1, a return air temperature detection unit being B-2, and a room temperature detection unit being C-1. A, B, and C represent the type of detection unit, while the numbers represent the corresponding serial numbers. Generally speaking, the supply air temperature detection units and room temperature detection units corresponding to equipment in the same area have the same serial number. This makes it easy to know which local area needs to be adjusted and which supply fan should be controlled when issuing control commands, especially performance control commands.

[0052] like Figure 2 As shown, in some other embodiments, a data twin module and a display module are also included.

[0053] The data twin module is used to acquire the detection data corresponding to each environmental monitoring module in the computer room and the location of each air supply fan. Based on the detection data and the location of the air supply fans, it generates a twin environment map corresponding to the current computer room. The twin environment map includes the detection data of the room temperature monitoring unit corresponding to each location in the computer room, the air supply temperature monitoring unit number corresponding to the air supply fan affecting the temperature of each location in the computer room, the current temperature, the current air volume, the compression intensity of the compressor corresponding to the air supply fan, and the location of each piece of equipment in the computer room.

[0054] In other words, the data twin module replicates a twin image of the data center based on the location, quantity, and temperature of the equipment, fans, and compressors within the data center. It also extracts the corresponding temperature data for synchronization. This allows the twin image to visually display the location of the equipment, which locations have excessively high temperatures, the airflow and temperature of each fan, and the compression intensity of the corresponding compressor. Furthermore, this data is updated synchronously with the physical data over time. By flattening the data through these steps, any updates or control commands can be synchronously observed through the twin image.

[0055] The display module is used to display the twin environment map. The display module is generally a screen with touch function and network connectivity.

[0056] In other embodiments, the energy efficiency control module further includes an adjustment prediction unit, which generates pre-selected operating modes and pre-selected control commands for different modes based on various data in the twin environment diagram, and sends the pre-selected operating modes and pre-selected control commands to the data twin module so that it can simulate the operation of each pre-selected operating mode and pre-selected control command in the twin environment diagram.

[0057] The function of the adjustment prediction unit is to simulate multiple operating modes and control commands that can achieve the same effect of temperature regulation at the target location before making a selection of operating mode and control command, and to determine which operating mode and control command is optimal based on the simulation results.

[0058] The prediction method is to calculate multiple pre-selected operating modes and pre-selected control commands based on the data in the twin environment diagram, and send them back to the twin environment diagram. This allows the twin environment diagram to incorporate each pre-selected option into the prediction based on the pre-selected data and commands. Since the twin environment diagram is a data-driven replica of the real-world data center environment, simulation in the twin environment diagram is equivalent to the operating effect in the real-world environment.

[0059] The data twin module acquires historical operating data and combines it with the detection data of each environmental detection module under different pre-selected operating modes and pre-selected control commands to calculate the simulation results. Based on the simulation results, the optimal pre-selected operating mode and pre-selected control command are selected.

[0060] Before the data twin module performs the simulation, in order to ensure the accuracy of the simulation and find a reference data for prediction, it is also necessary to acquire historical operating data. This historical operating data is the temperature information monitored by each temperature detection unit in history, as disclosed above. In this way, the twin environment diagram can calculate what kind of room temperature change will occur when the blower and compressor are adjusted. Then, by inputting the different pre-selected operating modes and pre-selected control commands into the simulation, the simulation results can be obtained, and the optimal pre-selected operating mode and pre-selected control command can be selected.

[0061] By using the above method, simulation is performed using a twin environment diagram before adjusting the mode and command, instead of directly selecting a specific mode or command, and there is no need to test in a real computer room, which further reduces energy waste and obtains the optimal temperature control scheme through predictive simulation.

[0062] Specifically, the optimal pre-selected operating mode and pre-selected control command include energy-saving optimization and full-load optimization. Energy-saving optimization is characterized by the most energy-efficient pre-selected operating mode and pre-selected control command, while full-load optimization is characterized by the pre-selected operating mode and pre-selected control command that cools down the fastest.

[0063] During simulation, there are two modes and instructions: the most energy-efficient solution and the fastest cooling solution. The most suitable solution in the computer room needs to be dynamically adjusted under different conditions. For example, if a device in a certain location in the computer room is overheating, causing the room temperature in that area to be very high, the most energy-efficient solution may be slow in terms of cooling efficiency. If cooling efficiency is sacrificed for energy saving, then as the cooling time increases, this method may no longer be energy-efficient. In this case, the fastest cooling solution, i.e., full-load optimization, should be selected first. After effectively curbing the rise in room temperature and achieving a certain cooling effect, it can be switched to the energy-efficient optimization solution.

[0064] By using the above methods, the selection of cooling solutions is not limited to the most energy-efficient solution in the short term, but rather the cooling strategy is adjusted according to the actual situation, so as to avoid sacrificing cooling efficiency by forcibly choosing an energy-saving priority.

[0065] In other embodiments, the variable frequency speed control implemented by the variable frequency control module is variable frequency stepless speed regulation.

[0066] Most air conditioning units currently use a three-level inverter control mode with 0%, 50% and 100% settings. When the air conditioner is at 0%, the evaporator of the air conditioning unit is idle; when the air conditioner is at 100%, the evaporator limits the cooling output of the air conditioning unit. Therefore, the evaporator cannot be fully utilized in this mode, and the cooling efficiency of the air conditioning unit is low.

[0067] Therefore, variable frequency stepless speed regulation technology is introduced to make full use of the evaporator area, reduce the temperature fluctuation range, reduce the number of compressor start-stop cycles, improve the energy efficiency ratio of the air conditioning unit, and reduce operating energy consumption.

[0068] like Figure 4 As shown, the diagram discloses the energy efficiency ratio calculation before and after the frequency conversion modification. It can be seen from the diagram that after the frequency conversion stepless speed regulation modification, the condensing pressure of the air conditioning unit is reduced and the evaporating pressure of the air conditioning unit is increased. According to the calculation, the energy efficiency ratio (COP2) of the modified unit is greater than that of the air conditioning unit before the modification (COP1). Therefore, the energy consumption of the air conditioning unit is reduced. In the diagram, E represents the cooling capacity and W represents the power consumption.

[0069] This application also discloses a smart energy-saving method for precision air conditioning in data centers, which is applied to the aforementioned smart energy-saving system for precision air conditioning in data centers.

[0070] The implementation principle of this application embodiment is as follows: The precision air conditioning intelligent energy-saving system, developed to improve the energy efficiency of data center air conditioning systems, dynamically adjusts the operation of the air supply fan and compressor by measuring the temperature changes in the data center in real time, switching operating modes, and obtaining a precise temperature control scheme through control commands. This enables on-demand supply of cooling capacity and reduces the waste of air conditioning energy.

[0071] The embodiments described in this specific implementation are preferred embodiments of this application and are not intended to limit the scope of protection of this application. Identical components are represented by the same reference numerals. Therefore, all equivalent changes made to the structure, shape, and principle of this application should be covered within the scope of protection of this application.

Claims

1. A smart energy-saving precision air conditioning system for data centers, characterized in that, include: An environmental monitoring module is used to monitor environmental parameters within the computer room to obtain monitoring data, wherein the environmental parameters include at least temperature. An energy efficiency control module is used to acquire the detection data, determine the operating mode of the air conditioner based on the detection data, and generate corresponding control commands. The operating mode includes the original mode and the energy-saving mode. A switch module is installed on the blower and compressor of the air conditioner. The switch module is used to control the on and off of the blower and compressor according to the determined operating mode and corresponding control commands. A variable frequency control module is installed on the air conditioner to realize variable frequency speed control in the confirmed operating mode according to the corresponding control command. The variable frequency speed control realizes the control of the air supply volume of the blower and the compression intensity of the compressor. It also includes a data twin module and a display module. The data twin module is used to acquire the detection data corresponding to each environmental detection module in the computer room and the location of each air supply fan. Based on the detection data and the location of the air supply fans, it generates a twin environment map corresponding to the current computer room. The twin environment map includes the detection data of the room temperature detection unit corresponding to each location in the computer room, the air supply temperature detection unit number corresponding to the air supply fan that affects the temperature of each location in the computer room, the current temperature, the current air volume, the compression intensity of the compressor corresponding to the air supply fan, and the location of each piece of equipment in the computer room. The display module is used to display the twin environment map; The energy efficiency control module further includes an adjustment and prediction unit, which is used to generate different modes of pre-selected operation and pre-selected control commands based on the data in the twin environment diagram, and send the pre-selected operation and pre-selected control commands to the data twin module so that it can simulate the operation of each pre-selected operation mode and pre-selected control command in the twin environment diagram. The data twin module acquires historical operating data and combines it with the detection data of each environmental detection module under different pre-selected operating modes and pre-selected control commands to calculate the simulation results. Based on the simulation results, the optimal pre-selected operating mode and pre-selected control command are selected.

2. The intelligent energy-saving system for precision air conditioning in data centers according to claim 1, characterized in that, Specifically: In the original mode, the compressor runs at full load and switches between start and stop according to environmental parameters, and the blower runs at full load 24 hours a day; In energy-saving mode, the compressor dynamically adjusts the compression intensity according to the environmental parameters, and the blower dynamically adjusts the air volume according to the environmental parameters.

3. The intelligent energy-saving system for precision air conditioning in data centers according to claim 2, characterized in that, It also includes an air conditioning statistics module, which is used to count the number, location and number of compressors in a data center to obtain layout information, with one of the air blowers corresponding to one compressor; The air conditioning statistics module is also used to send the layout information to the energy efficiency control module to adjust the control commands.

4. The intelligent energy-saving system for precision air conditioning in data centers according to claim 3, characterized in that, In energy-saving mode, the control commands include performance control commands and unit count control commands; The performance control command is characterized as controlling the output frequency of the frequency converter control module to adjust the compressor strength and / or the air volume of the blower. The unit control command represents the control of the switching module to change the number of blowers and compressors in operation. The energy efficiency control module selects and generates performance control commands and / or unit count control commands based on the number and location of the blowers and compressors in the current data center, as well as the detection information, in the layout information.

5. The intelligent energy-saving system for precision air conditioning in data centers according to claim 2, characterized in that, The environmental monitoring module includes a supply air temperature monitoring unit, a return air temperature monitoring unit, and a room temperature monitoring unit. The supply air temperature monitoring unit is installed on the supply air fan to monitor the supply air temperature. The return air temperature monitoring unit is installed on the return air fan to monitor the return air temperature. There are several room temperature monitoring units, which are distributed in various effective locations in the computer room. The effective locations are defined as the locations where equipment exists within the temperature monitoring range. The supply air temperature detection unit, return air temperature detection unit, and room temperature detection unit are each equipped with a corresponding independent number.

6. The intelligent energy-saving system for precision air conditioning in data centers according to claim 1, characterized in that, The optimal pre-selected operating mode and pre-selected control command include energy-saving optimization and full-load optimization. Energy-saving optimization is characterized by the most energy-efficient pre-selected operating mode and pre-selected control command, and full-load optimization is characterized by the pre-selected operating mode and pre-selected control command that cools down the fastest.

7. The intelligent energy-saving system for precision air conditioning in data centers according to claim 1, characterized in that, The variable frequency control module implements variable frequency speed regulation control, which is stepless variable frequency speed regulation.

8. A smart energy-saving method for precision air conditioning in data centers, characterized in that, The data center precision air conditioning intelligent energy-saving system is applied to any one of the claims 1-7 above.

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