Machine room air conditioner control method and device, electronic equipment, medium and product

Abstract

The embodiment of the application provides a kind of control method, device, electronic equipment, medium and product of computer lab air conditioner, method includes: the actual humidity value and actual temperature value in computer lab are collected, temperature preset value and humidity preset value are determined, temperature demand coefficient is determined by actual temperature value and temperature preset value;Humidity demand coefficient is determined by actual humidity value and humidity preset value, according to temperature demand coefficient and humidity demand coefficient, the target operating parameter of each target device preset in computer lab air conditioner is determined, the operation of computer lab air conditioner is controlled by the target operating parameter corresponding to each target device.Based on the control method of computer lab air conditioner provided in the application, temperature and humidity in computer lab can be adjusted simultaneously to reduce equipment wear and power consumption, improve the service life of equipment.

Description

Technical Field

[0001] This application relates to the field of air conditioning control technology, and in particular to a control method, device, electronic equipment, medium and product for a computer room air conditioner. Background Technology

[0002] Temperature and humidity control in data center server rooms is a core element in ensuring the safe, stable, and efficient operation of computer equipment. Inappropriate temperature or humidity environments can lead to hardware failures, performance degradation, shortened lifespan, and even safety incidents such as electrostatic discharge or condensation corrosion. Stable temperature and humidity within the server room can be ensured by controlling the operation of the air conditioning system.

[0003] Currently, in related technologies, the control system of computer room air conditioning usually adopts a separate control mode. When cooling is required, different cooling needs are met by changing the start / stop or speed of the compressor or fan inside the air conditioner. When dehumidification is required, the air is cooled to below the dew point temperature by reducing the speed of the fan and adjusting the compressor frequency, so that water is separated out. When reheating is required, the cold air is directly heated by electric reheating.

[0004] However, temperature and humidity often influence each other during actual regulation, making independent control difficult. When environmental parameters are in transitional conditions, such as the simultaneous presence of slightly high temperature and high humidity, the system needs to repeatedly switch between temperature control and dehumidification modes. This causes frequent start-ups and shutdowns of equipment such as compressors and fans, increasing equipment wear and power consumption, reducing equipment lifespan, and potentially triggering temperature / humidity fluctuations and alarms in the data center. Therefore, providing a method that can simultaneously regulate temperature and humidity in a data center is a problem that this application urgently needs to solve. Summary of the Invention

[0005] This application provides a control method, device, electronic equipment, medium, and product for a computer room air conditioner, which can simultaneously regulate the temperature and humidity in the computer room to reduce equipment wear and power consumption and improve the service life of the equipment.

[0006] In a first aspect, embodiments of this application provide a method for controlling a computer room air conditioner, including:

[0007] Collect the actual humidity and temperature values ​​in the computer room;

[0008] Determine the preset temperature and humidity values;

[0009] The temperature demand coefficient is determined by combining the actual temperature value and the preset temperature value.

[0010] The humidity requirement coefficient is determined by combining the actual humidity value with the preset humidity value.

[0011] Based on the temperature demand coefficient and humidity demand coefficient, determine the target operating parameters of each target device preset in the computer room air conditioner;

[0012] The operation of the computer room air conditioner is controlled by the target operating parameters corresponding to each target device.

[0013] In one possible implementation, the temperature demand coefficient is determined using the actual temperature value and the preset temperature value, including:

[0014] Determine the temperature difference between the actual temperature value and the preset temperature value;

[0015] A preset proportional-integral-derivative control algorithm is used to obtain the corresponding percentage of cooling demand or reheat demand based on the temperature difference.

[0016] The percentage of cooling demand or reheat demand is determined as the temperature demand coefficient.

[0017] In one possible implementation, the humidity demand coefficient is determined by using the actual humidity value and a preset humidity value, including:

[0018] Determine the humidity difference between the actual humidity value and the preset humidity value;

[0019] A preset proportional-integral-derivative control algorithm is used to obtain the corresponding percentage of dehumidification demand based on the humidity difference;

[0020] The percentage of dehumidification demand is defined as the humidity demand coefficient.

[0021] In one possible implementation, the target components of the computer room air conditioner include at least: a compressor and an internal fan;

[0022] Accordingly, based on the temperature and humidity demand coefficients, the target operating parameters for each pre-set target component in the computer room air conditioning system are determined, including:

[0023] Determine the first target value corresponding to the percentage of cooling demand in the temperature demand coefficient;

[0024] Determine the second target value corresponding to the percentage of dehumidification demand;

[0025] Based on the first target value where the percentage of cooling demand is located and the second target value where the percentage of dehumidification demand is located, the target compressor frequency corresponding to the compressor and the target indoor fan speed corresponding to the indoor fan are determined.

[0026] In one possible implementation, based on a first target value representing the percentage of cooling demand and a second target value representing the percentage of dehumidification demand, a target compressor frequency corresponding to the compressor and a target indoor fan speed corresponding to the indoor fan are determined, including:

[0027] Determine the operating frequency range corresponding to the compressor frequency, where the operating frequency range includes the maximum and minimum operating frequency values;

[0028] Determine the operating range of the internal fan speed, which includes the maximum and minimum operating speed values;

[0029] If the first target value is the first preset value and the second target value is also the first preset value, then the target value representing the compressor shutdown will be determined as the target compressor frequency corresponding to the compressor, and the minimum operating speed will be determined as the target internal fan speed corresponding to the internal fan.

[0030] If the first target value is the first preset value and the second target value is within the range corresponding to the first preset value to the second preset value, then the target compressor frequency corresponding to the compressor is determined by the first correlation between the compressor frequency and the percentage of dehumidification demand, and the target internal fan speed corresponding to the internal fan is determined by the second correlation between the internal fan speed and the percentage of dehumidification demand.

[0031] If the first target value is the first preset value and the second target value is the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0032] If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is the first preset value, then the target compressor frequency corresponding to the compressor is determined by the third correlation between the compressor frequency and the percentage of cooling demand, and the target internal fan speed corresponding to the internal fan is determined by the fourth correlation between the internal fan speed and the cooling demand.

[0033] If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is also within the range corresponding to the first preset value to the second preset value, then the target compressor frequency corresponding to the compressor is determined by the first correlation between the compressor frequency and the percentage of dehumidification demand, and the target internal fan speed corresponding to the internal fan is determined by the second correlation between the internal fan speed and the percentage of dehumidification demand.

[0034] If the first target value is within the range of the first preset value to the second preset value, and the second target value is the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0035] If the first target value is the second preset value and the second target value is the first preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the maximum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0036] If the first target value is the second preset value, and the second target value is also within the range corresponding to the first preset value to the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the maximum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0037] If the first target value is the second preset value, and the second target value is also the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0038] In one possible implementation, the target components of the computer room air conditioner further include: an electronic expansion valve and a solenoid valve; correspondingly, it also includes:

[0039] When the first target value is the first preset value and the second target value is within the range corresponding to the first preset value and the second preset value, or when the first target value is the first preset value and the second target value is the second preset value, the target opening of the electronic expansion valve is determined by the fifth correlation between the opening of the electronic expansion valve and the percentage of reheat demand, and the operation of the electronic expansion valve is controlled by the target opening, while the solenoid valve is opened.

[0040] Secondly, this application provides a control device for a computer room air conditioner, the device comprising:

[0041] The data acquisition module is used to collect actual humidity and temperature values ​​in the computer room.

[0042] The processing module is used to determine the preset temperature and humidity values;

[0043] The processing module is also used to determine the temperature demand coefficient based on the actual temperature value and the preset temperature value;

[0044] The processing module is also used to determine the humidity demand coefficient based on the actual humidity value and the preset humidity value;

[0045] The processing module is also used to determine the target operating parameters of each target device preset in the computer room air conditioner based on the temperature demand coefficient and humidity demand coefficient.

[0046] The processing module is also used to control the operation of the computer room air conditioner by using the target operating parameters corresponding to each target device.

[0047] Thirdly, this application provides an electronic device, including: a memory and a processor;

[0048] The memory stores instructions that the computer executes;

[0049] The processor executes computer execution instructions stored in memory, causing the processor to perform the method described above.

[0050] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the aforementioned method.

[0051] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the aforementioned method.

[0052] The control method, device, electronic equipment, medium, and product for computer room air conditioning provided in this application consider both temperature and humidity requirements when controlling the operation of the air conditioning in the computer room, and determine the target operating parameters of each target device to achieve compatible temperature and dehumidification control, avoid continuous switching between different modes, thereby reducing equipment wear and power consumption and improving the service life of the equipment. Attached Figure Description

[0053] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0054] Figure 1 The structural diagram of the computer room air conditioner provided in this application;

[0055] Figure 2 Flowchart of the control method for the computer room air conditioner provided in this application Figure 1 ;

[0056] Figure 3 Flowchart of the control method for the computer room air conditioner provided in this application Figure 2 ;

[0057] Figure 4 Flowchart of the control method for the computer room air conditioner provided in this application Figure 3 ;

[0058] Figure 5 Flowchart of the control method for the computer room air conditioner provided in this application Figure 4 ;

[0059] Figure 6 Flowchart of the control method for the computer room air conditioner provided in this application Figure 5 ;

[0060] Figure 7 A schematic diagram of the control device for the computer room air conditioner provided in this application;

[0061] Figure 8 A schematic diagram of the structure of the electronic device provided in this application.

[0062] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0063] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0064] Temperature and humidity control in data center server rooms is a core element in ensuring the safe, stable, and efficient operation of computer equipment. Inappropriate temperature or humidity environments can lead to hardware failures, performance degradation, shortened lifespan, and even safety incidents such as electrostatic discharge or condensation corrosion. Stable temperature and humidity within the server room can be ensured by controlling the operation of the air conditioning system. Currently, in related technologies, server room air conditioning control systems typically employ a discrete control mode. When cooling is needed, different cooling demands are met by changing the start / stop or speed of the internal compressor or fan; when dehumidification is needed, the air is cooled below the dew point temperature by reducing the internal fan speed and adjusting the compressor frequency, causing water to precipitate; when reheating is needed, the cold air is directly heated through electric reheating. However, temperature and humidity can affect each other during actual regulation and cannot be accurately controlled independently. When environmental parameters are in transitional conditions, such as the simultaneous presence of slightly high temperature and high humidity, the system needs to switch repeatedly between temperature control and dehumidification modes, causing frequent start-stop of equipment such as compressors and fans. This not only increases equipment wear and power consumption, reducing the lifespan of the equipment, but also causes temperature / humidity fluctuations, which may trigger alarms in the computer room.

[0065] Figure 1 The structural diagram of the computer room air conditioner provided in this application is as follows: Figure 1As shown, the structure of a computer room air conditioner mainly includes an outdoor fan and condenser on the outdoor side, and an indoor fan, compressor, solenoid valve, evaporator, reheat coil, humidity sensor R, temperature sensor T, electronic expansion valve 1, and electronic expansion valve 2 on the indoor side. The outdoor condenser dissipates heat from the refrigerant to the outdoor environment, causing the refrigerant to condense from a gaseous state to a liquid state. The outdoor fan accelerates outdoor airflow and enhances the heat exchange efficiency of the condenser. The condenser can be air-cooled, water-cooled, evaporative-condensing, or a combination of several types, as shown in the diagram. The indoor compressor is used to increase the pressure and temperature of the refrigerant through compression, driving the refrigerant to circulate within the air conditioning system; the evaporator is used to evaporate the refrigerant, thereby lowering the indoor air temperature and achieving a cooling effect; the reheat coil is used to reheat the air cooled by the evaporator, used to regulate the humidity or temperature of the indoor air, for example, to prevent the air from being over-cooled in dehumidification mode; the indoor fan is used to push the indoor air through the evaporator and reheat coil to achieve air circulation; the solenoid valve is used to control the on / off state of the reheat coil branch; electronic expansion valve 1 and electronic expansion valve 2 are used to reduce the pressure and temperature of the refrigerant through throttling, allowing the refrigerant to evaporate smoothly in the evaporator.

[0066] Combination Figure 1 This application addresses this issue by installing a temperature sensor T and a humidity sensor R on the left side of the evaporator. These sensors collect the actual temperature and humidity values ​​within the computer room and determine the corresponding temperature and humidity demand coefficients. Based on these coefficients, the target operating parameters for each pre-set component in the computer room air conditioner are determined, thereby controlling the operation of the air conditioner. The control method for computer room air conditioners provided in this application considers both temperature and humidity requirements while controlling the air conditioner's operation, thus determining the target operating parameters for each component. This achieves compatible temperature and dehumidification control, avoids constant switching between different modes, reduces equipment wear and power consumption, and extends the equipment's lifespan.

[0067] The technical solution of this application and how the technical solution of this application solves the above-mentioned technical problems are described in detail below with specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0068] Figure 2 Flowchart of the control method for the computer room air conditioner provided in this application Figure 1 ,like Figure 2 As shown, it includes:

[0069] S201. Collect the actual humidity and temperature values ​​in the data acquisition room.

[0070] Combined with scenario examples, Figure 1 The humidity sensor R and temperature sensor T are installed on the indoor side of the computer room. Therefore, the actual humidity value in the computer room can be collected through the humidity sensor R, and the actual temperature value in the computer room can be collected through the temperature sensor T. The actual humidity value can be recorded as R(k), and the actual temperature value can be recorded as T(k).

[0071] S202. Determine the preset temperature and humidity values.

[0072] Based on the scenario example, the preset values ​​for temperature and humidity can be determined according to the actual situation. The preset value for humidity can be denoted as R(s), and the preset value for temperature can be denoted as T(s).

[0073] S203. Determine the temperature demand coefficient by using the actual temperature value and the preset temperature value.

[0074] Based on scenario examples, the temperature demand coefficient can characterize the cooling or reheating demand in a computer room.

[0075] Optional, Figure 3 Flowchart of the control method for the computer room air conditioner provided in this application Figure 2 ,like Figure 3 As shown, S203 includes:

[0076] S301. Determine the temperature difference between the actual temperature value and the preset temperature value.

[0077] Based on the scenario example, the temperature difference can be denoted as E(t), that is, E(t) = T(k) - T(s).

[0078] S302. A preset proportional-integral-derivative control algorithm is used to obtain the corresponding percentage of cooling demand or percentage of reheat demand for the temperature difference.

[0079] With a scenario example, the Proportional-Integral-Derivative Control Algorithm (PID) algorithm is a classic closed-loop feedback control algorithm. It stabilizes the controlled object's actual state at the target setpoint by dynamically calculating and adjusting the "deviation." Its core is to achieve precise and stable control through the synergistic effect of the proportional, integral, and derivative components.

[0080] Therefore, when E(t) is greater than zero, it indicates that the actual temperature value T(k) is greater than the preset temperature value T(s), and cooling is required. The result obtained through the PID algorithm can be determined as the percentage of cooling demand. The percentage of cooling demand can be denoted as Cd, where Cd∈[0,1].

[0081] Similarly, when E(t) is less than zero, it indicates that the actual temperature value T(k) is less than the preset temperature value T(s), and reheating is required. The result obtained through the PID algorithm can be determined as the reheat demand percentage. The reheat demand percentage can be denoted as Hd, where Hd∈[0,1].

[0082] S303. The percentage of cooling demand or reheat demand is determined as the temperature demand coefficient.

[0083] Based on the scenario example, both the cooling demand percentage Cd and the reheat demand percentage Hd represent the demand for temperature control. Therefore, the cooling demand percentage Cd and the reheat demand percentage Hd can be determined as the temperature demand coefficients.

[0084] Based on the method provided in this example, the PID algorithm can be used to accurately obtain the percentage of cooling demand or reheat demand, thereby improving the accuracy of temperature control by the air conditioner.

[0085] S204. Determine the humidity demand coefficient by using the actual humidity value and the preset humidity value.

[0086] Based on scenario examples, the humidity demand coefficient can characterize the dehumidification needs within the computer room.

[0087] Optional, Figure 4 Flowchart of the control method for the computer room air conditioner provided in this application Figure 3 ,like Figure 4 As shown, S204 includes:

[0088] S401. Determine the humidity difference between the actual humidity value and the preset humidity value.

[0089] Similarly, based on the scenario example, the humidity difference can be obtained from the actual humidity value R(k) and the preset humidity value R(s). The humidity difference can be denoted as E(r), i.e., E(r) = R(k) - R(s).

[0090] S402. A preset proportional-integral-derivative control algorithm is used to obtain the corresponding percentage of dehumidification requirement based on the humidity difference.

[0091] Similarly, when E(r) is greater than zero, it means the actual humidity value R(k) is greater than the preset humidity value R(s), and dehumidification is required. The result obtained through the PID algorithm can be determined as the dehumidification requirement percentage. This percentage can be denoted as Dd, where Dd ∈ [0, 1]. It's worth noting that when E(r) is less than zero, it means the actual humidity value R(k) is less than the preset humidity value R(s), and dehumidification is not required.

[0092] S403. Determine the percentage of dehumidification demand as the humidity demand coefficient.

[0093] Based on the scenario example, the dehumidification demand percentage Dd can represent the dehumidification demand in the computer room, so the dehumidification demand percentage Dd can be determined as the humidity demand coefficient.

[0094] Based on the method provided in this example, the PID algorithm can be used to accurately obtain the percentage of dehumidification demand, thereby improving the accuracy of humidity control by the air conditioner.

[0095] S205. Based on the temperature demand coefficient and humidity demand coefficient, determine the target operating parameters of each target device preset in the computer room air conditioner.

[0096] Combined with scenario examples, Figure 1 As can be seen, the key target components in an air conditioner are controlled by controlling each of these components. Therefore, the target operating parameters of each component are determined first by using the temperature demand coefficient and humidity demand coefficient.

[0097] S206. Control the operation of the computer room air conditioner by using the target operating parameters corresponding to each target device.

[0098] Based on the scenario example, after obtaining the target operating parameters corresponding to each target device, the actual operating parameters of each target device can be adjusted to the corresponding target operating parameters to achieve control over the operation of each target device, thereby achieving control over the operation of the air conditioner.

[0099] Based on the control method for the computer room air conditioner provided in this example, when controlling the operation of the air conditioner in the computer room, both temperature and humidity requirements are considered, thereby determining the target operating parameters of each target device. This achieves compatible temperature and dehumidification control, avoids constant switching between different modes, reduces equipment wear and power consumption, and improves the service life of the equipment.

[0100] Optional, Figure 5 Flowchart of the control method for the computer room air conditioner provided in this application Figure 4 The target components of a computer room air conditioner include at least a compressor and an internal fan.

[0101] Accordingly, such as Figure 5 As shown, S205 includes:

[0102] S501. Determine the first target value corresponding to the percentage of cooling demand in the temperature demand coefficient.

[0103] Based on the scenario example, as mentioned above, the cooling demand percentage Cd ∈ [0, 1]. Therefore, the first target value can be divided into three cases: the first target value is 0, the first target value is 1, and the first target value is in the range corresponding to greater than 0 and less than 1.

[0104] S502. Determine the second target value corresponding to the percentage of dehumidification demand.

[0105] Similarly, based on the scenario example, since the dehumidification demand percentage Dd∈[0,1], the second target value can also be divided into three cases: the second target value is 0, the second target value is 1, and the second target value is in the range corresponding to greater than 0 and less than 1.

[0106] S503. Based on the first target value where the percentage of cooling demand is located and the second target value where the percentage of dehumidification demand is located, determine the target compressor frequency corresponding to the compressor and the target indoor fan speed corresponding to the indoor fan.

[0107] By considering scenario examples, when the first target value corresponding to the cooling demand percentage Cd differs from the second target value corresponding to the dehumidification demand percentage Dd, different target compressor frequencies and target indoor fan speeds can be determined. This allows for control of the compressor and indoor fan under different operating conditions, making the control of air conditioning operation more closely reflect actual dehumidification and cooling needs.

[0108] Optionally, a preset correlation algorithm is determined between the compressor frequency and / or the internal fan speed and the percentage of cooling demand and / or the percentage of dehumidification demand using the first target value and the second target value. The first target value and / or the second target value are then processed based on the determined correlation algorithm to determine the corresponding compressor frequency and / or internal fan speed.

[0109] Figure 6 Flowchart of the control method for the computer room air conditioner provided in this application Figure 5 ,like Figure 6 As shown, S503 includes:

[0110] S601. Determine the operating frequency range corresponding to the compressor frequency, wherein the operating frequency range includes the maximum operating frequency and the minimum operating frequency.

[0111] Based on the scenario example, the compressor frequency can be denoted as R. The maximum and minimum operating frequencies can be determined according to the actual parameters of the compressor. The maximum operating frequency can be denoted as Rmax, and the minimum operating frequency can be denoted as Rmin. Therefore, the operating frequency range corresponding to the compressor frequency is [Rmin, Rmax]. When the compressor frequency is 0, it indicates that the compressor is in the off state.

[0112] S602. Determine the operating range of the internal fan speed, whereby the operating range includes the maximum operating speed and the minimum operating speed.

[0113] Based on the scenario example, the speed of the internal fan can be denoted as S. The maximum and minimum operating speeds can be determined according to the actual parameters of the internal fan. The maximum operating speed can be denoted as Smax, and the minimum operating speed as Smin. Therefore, the operating range of the internal fan speed is [Smin, Smax]. When the internal fan speed is 0, it indicates that the internal fan is in the off state.

[0114] S603. If the first target value is the first preset value and the second target value is also the first preset value, then the target value representing the compressor shutdown is determined as the target compressor frequency corresponding to the compressor, and the minimum operating speed is determined as the target internal fan speed corresponding to the internal fan.

[0115] Based on the scenario example and the preceding information, we know that the percentage of cooling demand Cd ∈ [0, 1] and the percentage of dehumidification demand Dd ∈ [0, 1]. Therefore, the first preset value can be set to "0" and the second preset value can be set to "1", representing the target value for shutting down the compressor as "0". When both the first target value and the second target value are the first preset value, the operating condition is that the percentage of cooling demand Cd = 0 and the percentage of dehumidification demand Dd = 0.

[0116] Table 1 shows the correspondence between the compressor frequency R and the indoor fan speed S, and the percentage of cooling demand Cd and the percentage of dehumidification demand Dd, respectively. As shown in Table 1, when both the percentage of cooling demand Cd and the percentage of dehumidification demand Dd are 0, neither cooling nor dehumidification is needed in the computer room. Therefore, the compressor does not need to work, and the target compressor frequency is "0". The indoor fan can operate at its minimum speed, so the target indoor fan speed is Smin.

[0117] Table 1

[0118]

[0119] S604. If the first target value is a first preset value and the second target value is within the range corresponding to the first preset value to the second preset value, then the target compressor frequency corresponding to the compressor is determined by the first correlation between the compressor frequency and the percentage of dehumidification demand, and the target internal fan speed corresponding to the internal fan is determined by the second correlation between the internal fan speed and the percentage of dehumidification demand.

[0120] In a scenario example, when the first target value is a first preset value and the second target value falls within the range corresponding to the first and second preset values, the percentage of cooling demand Cd is "0", and the percentage of dehumidification demand Dd ∈ (0, 1). At this point, there is no cooling demand, but there is a certain dehumidification demand. In this case, the compressor frequency R is correlated with the percentage of dehumidification demand Dd. The larger the percentage of dehumidification demand Dd, the higher the compressor frequency R. This establishes the first correlation f between the compressor frequency R and the percentage of dehumidification demand Dd. The target compressor frequency is obtained through the first correlation R = f(Dd). Simultaneously, the indoor fan speed S is also correlated with the percentage of dehumidification demand Dd. The larger the percentage of dehumidification demand Dd, the lower the indoor fan speed S. This establishes the second correlation g between the indoor fan speed S and the percentage of dehumidification demand Dd. The target indoor fan speed is obtained through the second correlation S = g(Dd).

[0121] S605. If the first target value is the first preset value and the second target value is the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0122] In a scenario example, when the first target value is the first preset value and the second target value is the second preset value, the percentage of cooling demand Cd = 0 and the percentage of dehumidification demand Dd = 1. At this point, there is no cooling demand, but the dehumidification demand is at its preset maximum value. Since a larger percentage of dehumidification demand Dd corresponds to a higher compressor frequency R, the compressor frequency R can be directly adjusted to its maximum value, i.e., R = Rmax. Simultaneously, since a larger percentage of dehumidification demand Dd corresponds to a lower indoor fan speed S, the indoor fan speed S can be directly adjusted to its minimum value, i.e., S = Smin.

[0123] S606. If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is the first preset value, then the target compressor frequency corresponding to the compressor is determined by the third correlation between the compressor frequency and the percentage of cooling demand, and the target internal fan speed corresponding to the internal fan is determined by the fourth correlation between the internal fan speed and the cooling demand.

[0124] In a scenario example, when the first target value falls within the range corresponding to the first preset value and the second preset value, and the second target value is the first preset value, the percentage of cooling demand Cd ∈ (0, 1) and the percentage of dehumidification demand Dd = 0. At this point, there is no dehumidification demand, but there is some cooling demand. In this case, the compressor frequency R is correlated with the percentage of cooling demand Cd. The larger the percentage of cooling demand Cd, the higher the compressor frequency R. This establishes a third correlation k between the compressor frequency R and the percentage of cooling demand Cd. The target compressor frequency is obtained through the third correlation R = k(Cd). Simultaneously, the indoor fan speed S is also correlated with the percentage of cooling demand Cd. The larger the percentage of cooling demand Cd, the higher the indoor fan speed S. This establishes a fourth correlation h between the indoor fan speed S and the percentage of cooling demand Cd. The target indoor fan speed is obtained through the fourth correlation S = h(Cd).

[0125] S607. If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is also within the range corresponding to the first preset value to the second preset value, then the target compressor frequency corresponding to the compressor is determined by the first correlation between the compressor frequency and the percentage of dehumidification demand, and the target internal fan speed corresponding to the internal fan is determined by the second correlation between the internal fan speed and the percentage of dehumidification demand.

[0126] In a scenario example, when both the first target value and the second target value fall within the range corresponding to the first and second preset values, the percentage of cooling demand Cd ∈ (0, 1) and the percentage of dehumidification demand Dd ∈ (0, 1) represent a certain demand for both cooling and dehumidification. Since this is a mixed operating condition, the values ​​of the compressor frequency R and the internal fan speed S can be determined by referring to either of the demand conditions. For example, referring to Table 1, when considering the dehumidification demand, the compressor frequency and internal fan speed can be correlated with the percentage of dehumidification demand Dd. The target compressor frequency can be obtained through the first correlation R = f(Dd), and the target internal fan speed through the second correlation S = g(Dd). Similarly, the compressor frequency and internal fan speed can also be correlated with the percentage of cooling demand Cd. The target compressor frequency can be obtained through the third correlation R = k(Cd), and the target internal fan speed through the fourth correlation S = h(Cd).

[0127] S608. If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0128] In a scenario example, when the first target value falls within the range corresponding to the first preset value and the second preset value, and the second target value is the second preset value, representing the percentage of cooling demand Cd∈(0,1) and the percentage of dehumidification demand Dd=1, there is a certain cooling demand, but the dehumidification demand is the greatest. Therefore, the compressor frequency and the indoor fan speed can be correlated with the percentage of dehumidification demand Dd. Thus, the compressor frequency R can be directly adjusted to its maximum value, i.e., R=Rmax. At the same time, the indoor fan speed S can be directly adjusted to its minimum value, i.e., S=Smin.

[0129] S609. If the first target value is the second preset value and the second target value is the first preset value, then the maximum operating frequency is determined as the target compressor frequency corresponding to the compressor, and the maximum operating speed is determined as the target internal fan speed corresponding to the internal fan.

[0130] In the scenario example, when the first target value is the second preset value and the second target value is the first preset value, the percentage of cooling demand Cd = 1 and the percentage of dehumidification demand Dd = 0. At this time, there is only cooling demand and no dehumidification demand. The compressor frequency and the indoor fan speed can then be correlated with the percentage of cooling demand Cd. The larger the percentage of cooling demand Cd, the higher the compressor frequency R and the higher the indoor fan speed S. Since the percentage of cooling demand is the preset maximum value, the target compressor frequency can be directly determined as the maximum compressor frequency, i.e., R = Rmax. Simultaneously, the target indoor fan speed can be determined as the maximum indoor fan speed, i.e., S = Smax.

[0131] S6010. If the first target value is the second preset value and the second target value is also within the range corresponding to the first preset value and the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the maximum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0132] In a scenario example, when the first target value is the second preset value, and the second target value is also within the range corresponding to the first and second preset values, the percentage of cooling demand Cd = 1, and the percentage of dehumidification demand Dd ∈ (0, 1). At this time, there is a large cooling demand and a certain dehumidification demand, so the compressor frequency R can be directly adjusted to its maximum value, i.e., R = Rmax. At the same time, the indoor fan speed S can be directly adjusted to its maximum value, i.e., S = Smax.

[0133] S6011. If the first target value is the second preset value and the second target value is also the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan.

[0134] Based on the scenario example, when the first target value is the second preset value, and the second target value is also the second preset value, it indicates that the percentage of cooling demand Cd = 1 and the percentage of dehumidification demand Dd = 1. At this point, there is a significant demand for both dehumidification and cooling. Since this is a mixed operating condition, the values ​​of the compressor frequency R and the indoor fan speed S can be determined by referring to either of the demand conditions. For example, referring to Table 1, when considering the dehumidification demand, the compressor frequency and indoor fan speed can be correlated with the percentage of dehumidification demand Dd, i.e., R = Rmax, S = Smin. Similarly, the compressor frequency and indoor fan speed can also be correlated with the percentage of cooling demand Cd, i.e., R = Rmax, S = Smax.

[0135] Based on the method provided in this application, the compressor frequency and the internal fan speed can be controlled accordingly to meet different dehumidification and cooling requirements.

[0136] Optionally, the target components of the computer room air conditioner also include: electronic expansion valves and solenoid valves; correspondingly, it also includes:

[0137] When the first target value is the first preset value and the second target value is within the range corresponding to the first preset value to the second preset value, or when the first target value is the first preset value and the second target value is the second preset value, the target opening of the electronic expansion valve is determined by the fifth correlation between the opening of the electronic expansion valve and the percentage of reheat demand, and the operation of the electronic expansion valve is controlled by the target opening, while the solenoid valve is opened.

[0138] Based on the scenario example and the preceding content, we know that the air conditioner's structure also includes electronic expansion valve 1, electronic expansion valve 2, and a solenoid valve. Electronic expansion valve 1 is open by default. When electronic expansion valve 2 and the solenoid valve are closed, air will not pass through the reheat coil, thus preventing air reheating. Therefore, the target opening degree of the electronic expansion valve mentioned in this example specifically refers to the target opening degree of electronic expansion valve 2.

[0139] Among the various operating conditions mentioned above, there are cases where only dehumidification is needed, not refrigeration, i.e., Cd=0, but Dd is not zero. In this case, the air needs to pass through the reheat coil to reheat the dehumidified and cooled air to prevent a decrease in the final temperature. Therefore, in this situation, the solenoid valve needs to be opened. U can be used to represent the opening state of the solenoid valve, where U=1 indicates that the solenoid valve is open, and U=0 indicates that the solenoid valve is closed. At the same time, it is necessary to determine the target opening degree of the electronic expansion valve 2. The target opening degree of the electronic expansion valve 2 is related to the reheat demand percentage. The target opening degree of the electronic expansion valve 2 can be denoted as T, and the reheat demand percentage can be denoted as Hd. The larger the reheat demand percentage, the larger the target opening degree of the electronic expansion valve 2. Therefore, the fifth correlation j between the opening degree of the electronic expansion valve and the reheat demand percentage can be obtained, i.e., T=j(Hd). Table 2 shows the correspondence between the compressor frequency R and the internal fan speed S and the percentage of cooling demand Cd and the percentage of dehumidification demand Dd, based on the example. It also shows the correspondence between the target opening degree T of the electronic expansion valve 2 and the opening state of the solenoid valve and the percentage of cooling demand Cd and the percentage of dehumidification demand Dd. When Cd = 0 but Dd is not zero, both the solenoid valve and the electronic expansion valve 2 need to be opened; otherwise, both the solenoid valve and the electronic expansion valve 2 are closed.

[0140] Table 2

[0141]

[0142] Based on the method provided in this example, in situations where only dehumidification is required, the dehumidified air can be reheated by controlling the opening of the electronic expansion valve 2 and the solenoid valve to maintain a stable overall temperature.

[0143] Based on the control method for air conditioning in the computer room provided in the embodiments of this application, when controlling the operation of the air conditioning in the computer room, both temperature and humidity requirements are considered, and the target operating parameters of each target device are determined to achieve compatible temperature and dehumidification control, avoid continuous switching between different modes, thereby reducing equipment wear and power consumption and improving the service life of the equipment.

[0144] Figure 7 This is a schematic diagram of the control device for the computer room air conditioner provided in this application, as shown below. Figure 7 As shown, the device includes:

[0145] The data acquisition module 71 is used to collect the actual humidity and temperature values ​​in the computer room.

[0146] Processing module 72 is used to determine preset temperature and preset humidity values;

[0147] The processing module 72 is also used to determine the temperature demand coefficient by using the actual temperature value and the preset temperature value;

[0148] The processing module 72 is also used to determine the humidity demand coefficient based on the actual humidity value and the preset humidity value;

[0149] Processing module 72 is also used to determine the target operating parameters of each target device preset in the computer room air conditioner based on the temperature demand coefficient and humidity demand coefficient.

[0150] The processing module 72 is also used to control the operation of the computer room air conditioner by using the target operating parameters corresponding to each target device.

[0151] Optionally, the processing module 72 is specifically used to determine the temperature difference between the actual temperature value and the preset temperature value;

[0152] The processing module 72 is further used to apply a preset proportional-integral-derivative control algorithm to the temperature difference to obtain the corresponding percentage of cooling demand or percentage of reheat demand.

[0153] The processing module 72 is also used to determine the percentage of cooling demand or the percentage of reheat demand as the temperature demand coefficient.

[0154] Optionally, the processing module 72 is further used to determine the humidity difference between the actual humidity value and the preset humidity value;

[0155] The processing module 72 is also used to obtain the corresponding dehumidification demand percentage by using a preset proportional-integral-derivative control algorithm on the humidity difference;

[0156] The processing module 72 is also used to determine the dehumidification demand percentage as the humidity demand coefficient.

[0157] Optionally, the target components of the computer room air conditioner include at least: a compressor and an internal fan;

[0158] Accordingly, the processing module 72 is also specifically used to determine the first target value corresponding to the percentage of cooling demand in the temperature demand coefficient;

[0159] The processing module 72 is also specifically used to determine the second target value corresponding to the percentage of dehumidification demand;

[0160] The processing module 72 is further used to determine the target compressor frequency corresponding to the compressor and the target indoor fan speed corresponding to the indoor fan based on the first target value where the percentage of cooling demand is located and the second target value where the percentage of dehumidification demand is located.

[0161] Optionally, the processing module 72 is further used to determine the frequency operating range corresponding to the compressor frequency, wherein the frequency operating range includes the maximum frequency operating value and the minimum frequency operating value;

[0162] The processing module 72 is further used to determine the operating range of the internal fan speed, wherein the operating range of the speed includes the maximum operating speed and the minimum operating speed.

[0163] The processing module 72 is further configured to, if the first target value is a first preset value and the second target value is also a first preset value, determine the target value representing the compressor shutdown as the target compressor frequency corresponding to the compressor, and determine the minimum operating speed as the target internal fan speed corresponding to the internal fan.

[0164] The processing module 72 is further configured to determine the target compressor frequency corresponding to the compressor through the first correlation between the compressor frequency and the percentage of dehumidification demand, and to determine the target internal fan speed corresponding to the internal fan through the second correlation between the internal fan speed and the percentage of dehumidification demand if the first target value is a first preset value and the second target value is within the range corresponding to the first preset value and the second preset value.

[0165] The processing module 72 is further configured to determine the maximum frequency operation value as the target compressor frequency corresponding to the compressor and the minimum speed operation value as the target internal fan speed corresponding to the internal fan if the first target value is the first preset value and the second target value is the second preset value.

[0166] The processing module 72 is further configured to determine the target compressor frequency corresponding to the compressor through a third correlation between the compressor frequency and the percentage of cooling demand if the first target value is within the range corresponding to the first preset value and the second target value is the first preset value, and to determine the target internal fan speed corresponding to the internal fan through a fourth correlation between the internal fan speed and the cooling demand.

[0167] The processing module 72 is further configured to determine the target compressor frequency corresponding to the compressor through the first correlation relationship between the compressor frequency and the dehumidification demand percentage, and to determine the target internal fan speed corresponding to the internal fan through the second correlation relationship between the internal fan speed and the dehumidification demand percentage if the first target value is within the range corresponding to the first preset value to the second preset value and the second target value is also within the range corresponding to the first preset value to the second preset value.

[0168] The processing module 72 is further configured to determine the maximum frequency operation value as the target compressor frequency corresponding to the compressor and the minimum speed operation value as the target internal fan speed corresponding to the internal fan if the first target value is within the range corresponding to the first preset value to the second preset value and the second target value is the second preset value.

[0169] The processing module 72 is further configured to determine the maximum frequency operation value as the target compressor frequency corresponding to the compressor and the maximum speed operation value as the target internal fan speed corresponding to the internal fan if the first target value is the second preset value and the second target value is the first preset value.

[0170] The processing module 72 is further configured to determine the maximum frequency operation value as the target compressor frequency corresponding to the compressor and the maximum speed operation value as the target internal fan speed corresponding to the internal fan if the first target value is the second preset value and the second target value is also within the range corresponding to the first preset value to the second preset value.

[0171] The processing module 72 is further configured to determine the maximum frequency operation value as the target compressor frequency corresponding to the compressor and the minimum speed operation value as the target internal fan speed corresponding to the internal fan if the first target value is the second preset value and the second target value is also the second preset value.

[0172] Optionally, the target devices for the computer room air conditioner also include: an electronic expansion valve and a solenoid valve; correspondingly, the processing module 72 is also used to determine the target opening of the electronic expansion valve through the fifth correlation between the opening of the electronic expansion valve and the percentage of reheat demand when the first target value is a first preset value and the second target value is within the range corresponding to the first preset value and the second target value, or when the first target value is the first preset value and the second target value is the second preset value, and control the operation of the electronic expansion valve through the target opening, while controlling the opening of the solenoid valve.

[0173] The control device for the computer room air conditioner provided in this embodiment can execute the method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0174] Figure 8 A schematic diagram of the structure of the electronic device provided in this application. Figure 8 As shown, the electronic device 50 provided in this embodiment includes at least one processor 501 and a memory 502. Optionally, the device 50 further includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus.

[0175] In a specific implementation, at least one processor 501 executes computer execution instructions stored in memory 502, causing at least one processor 501 to perform the above-described method.

[0176] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0177] In the above embodiments, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0178] The memory may include random access memory (RAM) and may also include non-volatile memory (NVM), such as at least one disk storage device.

[0179] The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of illustration, the buses shown in the accompanying drawings are not limited to a single bus or a single type of bus.

[0180] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the above-described method.

[0181] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the above-described method.

[0182] The aforementioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0183] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the device.

[0184] The division of units is merely a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0185] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0186] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0187] If a function is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0188] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0189] Finally, it should be noted that other embodiments of the invention will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This invention is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein, and is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of the invention is limited only by the appended claims.

Claims

1. A control method for a computer room air conditioner, characterized in that, The method includes: Collect the actual humidity and temperature values ​​in the computer room; Determine the preset temperature and humidity values; The temperature demand coefficient is determined by combining the actual temperature value and the preset temperature value. The humidity requirement coefficient is determined by combining the actual humidity value and the preset humidity value. Based on the temperature and humidity demand coefficients, the target operating parameters of each target device preset in the computer room air conditioner are determined. The operation of the computer room air conditioner is controlled by the target operating parameters corresponding to each target device; The target components of the data center air conditioner include at least a compressor and an internal fan; the determination of the target operating parameters for each preset target component in the data center air conditioner based on the temperature demand coefficient and humidity demand coefficient includes: Determine the first target value corresponding to the percentage of cooling demand in the temperature demand coefficient; Determine the second target value corresponding to the percentage of dehumidification demand; Determine the operating frequency range corresponding to the compressor frequency, wherein the operating frequency range includes the maximum operating frequency value and the minimum operating frequency value; Determine the operating range of the internal fan speed, wherein the operating range includes the maximum operating speed and the minimum operating speed; If the first target value is a first preset value and the second target value is also a first preset value, then the target value representing the compressor being shut down is determined as the target compressor frequency corresponding to the compressor, and the minimum operating speed is determined as the target internal fan speed corresponding to the internal fan. If the first target value is a first preset value and the second target value is within the range corresponding to the first preset value to the second preset value, then the target compressor frequency corresponding to the compressor is determined by the first correlation between the compressor frequency and the percentage of dehumidification demand, and the target internal fan speed corresponding to the internal fan is determined by the second correlation between the internal fan speed and the percentage of dehumidification demand. If the first target value is a first preset value and the second target value is a second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan. If the first target value is within the range of the first preset value to the second preset value, and the second target value is the first preset value, then the target compressor frequency corresponding to the compressor is determined by the third correlation between the compressor frequency and the percentage of cooling demand, and the target internal fan speed corresponding to the internal fan is determined by the fourth correlation between the internal fan speed and the cooling demand. If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is also within the range corresponding to the first preset value to the second preset value, then the target compressor frequency corresponding to the compressor is determined by the first correlation between the compressor frequency and the percentage of dehumidification demand, and the target internal fan speed corresponding to the internal fan is determined by the second correlation between the internal fan speed and the percentage of dehumidification demand. If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan. If the first target value is the second preset value and the second target value is the first preset value, then the maximum operating frequency is determined as the target compressor frequency corresponding to the compressor, and the maximum operating speed is determined as the target internal fan speed corresponding to the internal fan. If the first target value is the second preset value, and the second target value is also within the range corresponding to the first preset value to the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the maximum speed operation value is determined as the target internal fan speed corresponding to the internal fan. If the first target value is a second preset value and the second target value is also a second preset value, then the maximum frequency operating value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operating value is determined as the target internal fan speed corresponding to the internal fan.

2. The method according to claim 1, characterized in that, The determination of the temperature demand coefficient based on the actual temperature value and the preset temperature value includes: Determine the temperature difference between the actual temperature value and the preset temperature value; A preset proportional-integral-derivative control algorithm is used to obtain the corresponding percentage of cooling demand or percentage of reheat demand for the temperature difference. The percentage of cooling demand or the percentage of reheat demand are determined as the temperature demand coefficient.

3. The method according to claim 1, characterized in that, The process of determining the humidity requirement coefficient using the actual humidity value and the preset humidity value includes: Determine the humidity difference between the actual humidity value and the preset humidity value; A preset proportional-integral-derivative control algorithm is used to obtain the corresponding dehumidification demand percentage for the humidity difference; The percentage of dehumidification requirement is defined as the humidity requirement coefficient.

4. The method according to claim 1, characterized in that, The target components of the computer room air conditioner also include: an electronic expansion valve and a solenoid valve; correspondingly, it also includes: When the first target value is a first preset value and the second target value is within the range corresponding to the first preset value to the second preset value, or when the first target value is a first preset value and the second target value is a second preset value, the target opening of the electronic expansion valve is determined by the fifth correlation between the opening degree of the electronic expansion valve and the percentage of reheat demand, and the operation of the electronic expansion valve is controlled by the target opening degree, while the solenoid valve is controlled to open.

5. A control device for a computer room air conditioner, characterized in that, The device includes: The data acquisition module is used to collect actual humidity and temperature values ​​in the computer room. The processing module is used to determine the preset temperature and humidity values; The processing module is also used to determine the temperature demand coefficient based on the actual temperature value and the preset temperature value; The processing module is also used to determine the humidity demand coefficient based on the actual humidity value and the preset humidity value; The processing module is also used to determine the target operating parameters of each target device preset in the computer room air conditioner based on the temperature demand coefficient and humidity demand coefficient. The processing module is also used to control the operation of the computer room air conditioner by using the target operating parameters corresponding to each target device; The target components of the computer room air conditioner include at least: a compressor and an internal fan; the processing module is specifically used for: Determine the first target value corresponding to the percentage of cooling demand in the temperature demand coefficient; Determine the second target value corresponding to the percentage of dehumidification demand; Determine the operating frequency range corresponding to the compressor frequency, wherein the operating frequency range includes the maximum operating frequency value and the minimum operating frequency value; Determine the operating range of the internal fan speed, wherein the operating range includes the maximum operating speed and the minimum operating speed; If the first target value is a first preset value and the second target value is also a first preset value, then the target value representing the compressor being shut down is determined as the target compressor frequency corresponding to the compressor, and the minimum operating speed is determined as the target internal fan speed corresponding to the internal fan. If the first target value is a first preset value and the second target value is within the range corresponding to the first preset value to the second preset value, then the target compressor frequency corresponding to the compressor is determined by the first correlation between the compressor frequency and the percentage of dehumidification demand, and the target internal fan speed corresponding to the internal fan is determined by the second correlation between the internal fan speed and the percentage of dehumidification demand. If the first target value is a first preset value and the second target value is a second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan. If the first target value is within the range of the first preset value to the second preset value, and the second target value is the first preset value, then the target compressor frequency corresponding to the compressor is determined by the third correlation between the compressor frequency and the percentage of cooling demand, and the target internal fan speed corresponding to the internal fan is determined by the fourth correlation between the internal fan speed and the cooling demand. If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is also within the range corresponding to the first preset value to the second preset value, then the target compressor frequency corresponding to the compressor is determined by the first correlation between the compressor frequency and the percentage of dehumidification demand, and the target internal fan speed corresponding to the internal fan is determined by the second correlation between the internal fan speed and the percentage of dehumidification demand. If the first target value is within the range corresponding to the first preset value to the second preset value, and the second target value is the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operation value is determined as the target internal fan speed corresponding to the internal fan. If the first target value is the second preset value and the second target value is the first preset value, then the maximum operating frequency is determined as the target compressor frequency corresponding to the compressor, and the maximum operating speed is determined as the target internal fan speed corresponding to the internal fan. If the first target value is the second preset value, and the second target value is also within the range corresponding to the first preset value to the second preset value, then the maximum frequency operation value is determined as the target compressor frequency corresponding to the compressor, and the maximum speed operation value is determined as the target internal fan speed corresponding to the internal fan. If the first target value is a second preset value and the second target value is also a second preset value, then the maximum frequency operating value is determined as the target compressor frequency corresponding to the compressor, and the minimum speed operating value is determined as the target internal fan speed corresponding to the internal fan.

6. An electronic device, characterized in that, include: Memory, processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory, causing the processor to perform the method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-4.

8. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method as described in any one of claims 1-4.

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