An air conditioner multi-split intelligent control method, system, device and medium

Abstract

The application discloses a kind of air conditioner multi-unit intelligent control method, system, device and storage medium. Method includes: obtaining the first calculated capacity demand of current control period, the first environment temperature of outdoor, the average environment temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit and the first target inlet pipe temperature of last control period;Determine the first calculated capacity demand, simulate temperature, inlet pipe upper limit temperature and inlet pipe lower limit temperature according to the above parameters, determine the second calculated capacity demand of air conditioner in next control period according to the first calculated capacity demand, simulate temperature, inlet pipe upper limit temperature and inlet pipe lower limit temperature;According to second calculated capacity demand, determine the working frequency of next control period and control compressor to run at working frequency.The application can be widely applied to air conditioner control technical field.

Description

Technical Field

[0001] This application relates to the field of air conditioner control technology, and in particular to an intelligent control method, system, device and storage medium for multi-split air conditioners. Background Technology

[0002] In related technologies, some air conditioners may include one outdoor unit and several indoor units. Each indoor unit has a unique pipe temperature, and the air conditioner can adjust the refrigerant quantity and thus the outdoor unit's output capacity based on this pipe temperature. However, with seasonal changes, a uniform and fixed pipe temperature can sometimes cause the air conditioner's power output to be too high, resulting in significant fluctuations. This can sometimes lead to insufficient power output, making it difficult to meet actual needs. On the other hand, different user groups have specific requirements, so preset pipe temperatures may not meet user needs, reducing the user experience. Therefore, there are still technical problems that need to be solved in these related technologies. Summary of the Invention

[0003] The purpose of this application is to at least partially solve one of the technical problems existing in the prior art.

[0004] Therefore, one objective of this application is to provide a method, system, device, and storage medium for intelligent control of multi-split air conditioners, which can improve the stability of air conditioner control and enhance user experience.

[0005] To achieve the above-mentioned technical objectives, the technical solution adopted in this application includes: a smart control method for a multi-split air conditioner, wherein the air conditioner includes a plurality of indoor units, and the control method includes: acquiring a first calculated capacity requirement for the current control cycle, a first outdoor ambient temperature, an average ambient temperature of all indoor units, a first inlet pipe temperature of each indoor unit, a first outlet pipe temperature of each indoor unit, a first indoor unit capacity of each indoor unit, and a first target inlet pipe temperature of the previous control cycle; determining the simulated temperature of the air conditioner for the current control cycle based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity; determining the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle based on the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature; determining a second calculated capacity requirement for the air conditioner for the next control cycle based on the first calculated capacity requirement, the simulated temperature, the upper limit temperature, and the lower limit temperature; and determining the operating frequency for the next control cycle based on the second calculated capacity requirement and controlling the compressor to operate at the operating frequency.

[0006] This application obtains the first calculated capacity requirement for the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle. Based on the first ambient temperature, average ambient temperature, first inlet pipe temperature, first outlet pipe temperature, and first indoor unit capacity, it determines the simulated temperature of the air conditioner for the current control cycle. Based on the first target inlet pipe temperature, average ambient temperature, and first inlet pipe temperature, it determines the upper and lower limit inlet pipe temperatures for the current control cycle. Based on the first calculated capacity requirement, simulated temperature, upper and lower inlet pipe temperatures, it determines the second calculated capacity requirement for the air conditioner for the next control cycle. Based on the second calculated capacity requirement, it determines the operating frequency for the next control cycle and controls the compressor to operate at the operating frequency. Compared to traditional air conditioning control methods, this application adds parameters such as the first calculated capacity requirement for the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle, which can improve the stability of air conditioner control and enhance the user experience.

[0007] In addition, the intelligent control method for multi-split air conditioners according to the above embodiments of the present invention may also have the following additional technical features:

[0008] Furthermore, in this embodiment of the application, determining the simulated temperature of the air conditioner for the current control cycle based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity specifically includes:

[0009] Obtain the temperature correction value for each indoor unit, the first correction factor for the entire unit, the second correction factor for the entire unit, and the third correction factor for the entire unit;

[0010] The second inlet temperature is determined based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature.

[0011] The simulated temperature is determined based on the first correction factor, the second correction factor, the third correction factor, the second inlet pipe temperature, the average ambient temperature, and the first ambient temperature.

[0012] Furthermore, in this embodiment of the application, determining the second inlet temperature based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature specifically includes:

[0013] Based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature, determine the total corrected capacity of all indoor units.

[0014] Based on the capacity of the first indoor unit, determine the total indoor unit capacity of all indoor units;

[0015] The second inlet pipe temperature is obtained based on the total corrected capacity of the indoor unit and the total capacity of the indoor unit.

[0016] Further, in this embodiment of the application, determining the simulated temperature based on the first correction coefficient, the second correction coefficient, the third correction coefficient, the second inlet pipe temperature, the average ambient temperature, and the first ambient temperature specifically includes:

[0017] The first product is obtained by multiplying the second inlet temperature by the first correction coefficient;

[0018] The average ambient temperature is multiplied by the second correction coefficient to obtain the second product;

[0019] The third product is obtained by multiplying the second inlet temperature by the third correction coefficient;

[0020] Summing the first product, the second product, and the third product yields the first sum.

[0021] The first and the second are used as the simulated temperatures.

[0022] Furthermore, in this embodiment of the application, determining the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle based on the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature specifically includes:

[0023] The second target inlet temperature for the current control cycle is determined based on the first target inlet temperature, the average ambient temperature, and the first inlet temperature.

[0024] Based on the second target inlet temperature, the upper limit temperature and the lower limit temperature of the inlet are determined.

[0025] Further, in this embodiment of the application, determining the second calculation capacity requirement of the air conditioner for the next control cycle based on the first calculation capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe specifically includes:

[0026] When the simulated temperature is greater than the upper limit temperature of the inlet pipe, the sum of the first calculated capacity requirement and the first preset capacity requirement is taken as the second calculated capacity requirement.

[0027] When the simulated temperature is lower than the lower limit temperature of the inlet pipe, the difference between the first computing capacity requirement and the second preset capacity increment is taken as the second computing capacity requirement.

[0028] When the simulated temperature is greater than or equal to the lower limit temperature of the inlet pipe and less than or equal to the upper limit temperature of the inlet pipe, the first computing capacity requirement is used as the second computing capacity requirement.

[0029] Further, in this embodiment of the application, determining the operating frequency of the next control cycle based on the second calculated capacity requirement and controlling the compressor to operate at the operating frequency includes:

[0030] The fourth product is obtained by multiplying the second computing capacity requirement by the rated frequency of the whole machine;

[0031] The first quotient is obtained by dividing the fourth product by the rated capacity of the outdoor unit;

[0032] The first quotient is used as the operating frequency for the next control cycle, and the compressor is controlled to operate at the operating frequency.

[0033] On the other hand, embodiments of this application also provide an intelligent control system for multi-split air conditioners, including:

[0034] The acquisition unit is used to acquire the first computing capacity requirement of the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle.

[0035] The first processing unit is used to determine the simulated temperature of the air conditioner for the current control cycle based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity.

[0036] The second processing unit is used to determine the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle based on the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature.

[0037] The third processing unit is used to determine the second computing capacity requirement of the air conditioner for the next control cycle based on the first computing capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe.

[0038] The fourth processing unit is used to determine the operating frequency of the next control cycle based on the second computing capacity requirement and control the compressor to operate at the operating frequency.

[0039] On the other hand, this application also provides an intelligent control device for multi-split air conditioners, comprising:

[0040] At least one processor;

[0041] At least one memory for storing at least one program;

[0042] When the at least one program is executed by the at least one processor, the at least one processor implements an intelligent control method for multi-split air conditioners as described in any one of the inventions.

[0043] In addition, this application also provides a computer-readable storage medium storing processor-executable instructions, which, when executed by a processor, are used to perform a multi-split air conditioner intelligent control method as described in any of the preceding claims.

[0044] The advantages and beneficial effects of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application:

[0045] This application obtains the first calculated capacity requirement for the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle. Based on the first ambient temperature, average ambient temperature, first inlet pipe temperature, first outlet pipe temperature, and first indoor unit capacity, it determines the simulated temperature of the air conditioner for the current control cycle. Based on the first target inlet pipe temperature, average ambient temperature, and first inlet pipe temperature, it determines the upper and lower limit inlet pipe temperatures for the current control cycle. Based on the first calculated capacity requirement, simulated temperature, upper and lower inlet pipe temperatures, it determines the second calculated capacity requirement for the air conditioner for the next control cycle. Based on the second calculated capacity requirement, it determines the operating frequency for the next control cycle and controls the compressor to operate at the operating frequency. Compared to traditional air conditioning control methods, this application adds parameters such as the first calculated capacity requirement for the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle, which can improve the stability of air conditioner control and enhance the user experience. Attached Figure Description

[0046] Figure 1 This is a schematic diagram illustrating the steps of a multi-split air conditioner intelligent control method in a specific embodiment of the present invention;

[0047] Figure 2 This is a schematic diagram of the air conditioner in this invention;

[0048] Figure 3 This is a schematic diagram illustrating the steps of determining the simulated temperature of the air conditioner in the current control cycle based on a first ambient temperature, an average ambient temperature, a first inlet pipe temperature, a first outlet pipe temperature, and a first indoor unit capacity, in a specific embodiment of the present invention.

[0049] Figure 4 This is a schematic diagram of the steps for determining the second inlet pipe temperature based on the first indoor unit capacity, temperature correction value, first inlet pipe temperature, and first outlet pipe temperature in a specific embodiment of the present invention.

[0050] Figure 5 This is a schematic diagram illustrating the steps of determining the simulated temperature based on a first correction coefficient, a second correction coefficient, a third correction coefficient, a second inlet pipe temperature, an average ambient temperature, and a first ambient temperature in a specific embodiment of the present invention.

[0051] Figure 6 This is a schematic diagram of the steps in a specific embodiment of the present invention to determine the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle based on the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature.

[0052] Figure 7 This is a schematic diagram illustrating the steps of determining the operating frequency of the next control cycle and controlling the compressor to operate at the operating frequency based on the second computing capacity requirement in a specific embodiment of the present invention.

[0053] Figure 8 This is a flowchart illustrating a specific embodiment of the intelligent control method for multi-split air conditioners in this invention.

[0054] Figure 9 This is a schematic diagram of the structure of an intelligent control system for a multi-split air conditioner in a specific embodiment of the present invention;

[0055] Figure 10 This is a schematic diagram of the structure of a multi-split air conditioner intelligent control device in a specific embodiment of the present invention. Detailed Implementation

[0056] The following detailed description, in conjunction with the accompanying drawings, illustrates the principles and processes of the intelligent control method, system, device, and storage medium for multi-split air conditioners according to the embodiments of the present invention.

[0057] In related technologies, some air conditioners may include one outdoor unit and several indoor units. Each indoor unit can have a corresponding indoor temperature. Each indoor unit has a unique pipe temperature, and the air conditioner can adjust the refrigerant quantity and thus the outdoor unit's output capacity based on the pipe temperature of the indoor unit. However, with seasonal changes, a uniform and fixed pipe temperature can sometimes cause the air conditioner's power output to be too high, resulting in significant fluctuations. This can sometimes lead to insufficient power output, making it difficult to meet actual needs. On the other hand, different user groups have specific needs, so preset pipe temperatures may not meet user requirements, reducing the user experience. Therefore, there are still technical problems that need to be solved in these related technologies.

[0058] To address the shortcomings of the existing technology, this application proposes an intelligent control method for multi-split air conditioners. (Refer to...) Figure 2 The air conditioner controlled by the control method of this application may include an outdoor unit, several indoor units, an indoor unit controller, and an outdoor unit controller. The outdoor unit may include a compressor. Each indoor unit may include a refrigerant inlet pipe and a refrigerant outlet pipe; correspondingly, the temperature of these pipes can be detected by a temperature detector. The temperature corresponding to the refrigerant inlet pipe is the inlet pipe temperature, and the temperature corresponding to the refrigerant outlet pipe is the outlet pipe temperature. The outdoor unit also includes an outdoor ambient temperature detector, and the indoor units also include indoor ambient temperature detectors. Specific steps of the control method can be found in [reference needed]. Figure 1 .exist Figure 1 In this context, the intelligent control method for multi-split air conditioners may include, but is not limited to, steps S101-S105.

[0059] S101. Obtain the first calculated capacity requirement of the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle.

[0060] It is understandable that any two indoor units can be configured in two different environments, with each indoor unit corresponding to an ambient temperature. The first calculated capacity requirement can be the calculated capacity requirement for the current control cycle, which can be obtained from the calculated capacity requirement of the previous control cycle, the outdoor ambient temperature, the average ambient temperature, the inlet pipe temperature of each indoor unit, the outlet pipe temperature of each indoor unit, the indoor unit capacity of each indoor unit, and the target inlet pipe temperature of the previous control cycle. The first ambient temperature can be the outdoor ambient temperature measured by the outdoor ambient temperature detector in the current control cycle, and the average ambient temperature can be the indoor ambient temperature measured by the indoor ambient temperature detector in the current control cycle. The first inlet pipe temperature can be the inlet pipe temperature of each indoor unit in the current control cycle. The first outlet pipe temperature can be the outlet pipe temperature of each indoor unit in the current control cycle. Indoor unit capacity refers to the air conditioner's operating efficiency per unit time. The first indoor unit capacity can be the actual indoor unit capacity of the indoor unit in the current control cycle, which differs from the rated capacity. The first target inlet pipe temperature is the target inlet pipe temperature of the previous cycle. The target inlet pipe temperature is a transitional value in the calculation process, which can be stored in memory and called by the processor during algorithm calculation.

[0061] In some feasible embodiments of the application, the processor or other chip with data processing capabilities can establish a wired or wireless connection with an acquisition unit, detector, or memory capable of acquiring data. After establishing the wired or wireless connection, the processor can acquire the first computing capacity requirement of the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle.

[0062] It should be noted that the above-mentioned wired connection methods may include the connection between the mobile device and the processing module, the connection between the processing module and the hardware device, and other wired connections between the processing module and other known or future-developed devices; while the above-mentioned wireless connection methods may include, but are not limited to, 3G / 4G / 5G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (Ultra Wide Band) connection, and other known or future-developed wireless connection methods.

[0063] S102. Based on the first ambient temperature, average ambient temperature, first inlet pipe temperature, first outlet pipe temperature, and first indoor unit capacity, determine the simulated temperature of the air conditioner to be controlled in the current control cycle.

[0064] It is understandable that the simulated temperature of the air conditioner controlled in the current control cycle is a transitional calculated value that can be obtained using the method of this application.

[0065] In some embodiments of this application, the processor can determine the simulated temperature of the air conditioner for the current control cycle based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity.

[0066] S103. Based on the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature, determine the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle.

[0067] It is understandable that the upper limit temperature of the inlet pipe in the current control cycle can be a temperature upper limit threshold, and the lower limit temperature of the inlet pipe in the current control cycle can be a temperature lower limit threshold.

[0068] In some feasible embodiments of this application, the processor can determine the upper limit temperature and lower limit temperature of the inlet tube for the current control cycle based on the first target inlet tube temperature, the average ambient temperature, and the first inlet tube temperature.

[0069] S104. Based on the first calculated capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe, determine the second calculated capacity requirement of the air conditioner for the next control cycle.

[0070] Understandably, the second computing capacity requirement can be used to calculate transitional parameters for the operating frequency.

[0071] In some feasible embodiments of this application, the processor can determine the second computing capacity requirement of the air conditioner for the next control cycle based on the first computing capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe.

[0072] S105. Based on the second calculated capacity requirement, determine the operating frequency of the next control cycle and control the compressor to operate at the operating frequency.

[0073] In some feasible embodiments of this application, the processor can determine the operating frequency of the next control cycle and control the compressor to operate at the operating frequency based on the second computing capacity requirement.

[0074] In summary, this application can obtain the first calculated capacity requirement of the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle; determine the simulated temperature of the air conditioner to be controlled in the current control cycle based on the first ambient temperature, average ambient temperature, first inlet pipe temperature, first outlet pipe temperature, and first indoor unit capacity; determine the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle based on the first target inlet pipe temperature, average ambient temperature, and first inlet pipe temperature; determine the second calculated capacity requirement of the air conditioner for the next control cycle based on the first calculated capacity requirement, simulated temperature, upper limit temperature, and lower limit temperature; and determine the operating frequency for the next control cycle based on the second calculated capacity requirement and control the compressor to operate at the operating frequency. Compared with traditional air conditioning control methods, this application adds the first calculation capacity requirement of the current control cycle, parameters such as the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle, which can improve the stability of air conditioner control and enhance user experience.

[0075] Furthermore, referring to Figure 3 , Figure 3 This is a schematic diagram illustrating the steps in this application embodiment to determine the simulated temperature of the air conditioner for the current control cycle based on the first ambient temperature, average ambient temperature, first inlet pipe temperature, first outlet pipe temperature, and first indoor unit capacity. Figure 3 In this process, the step may include, but is not limited to, steps S201-S203.

[0076] S201. Obtain the temperature correction value for each indoor unit, the first correction factor for the whole unit, the second correction factor for the whole unit, and the third correction factor for the whole unit.

[0077] S202. Determine the second inlet temperature based on the first indoor unit capacity, temperature correction value, first inlet pipe temperature, and first outlet pipe temperature.

[0078] S203. Determine the simulation temperature based on the first correction factor, the second correction factor, the third correction factor, the second inlet pipe temperature, the average ambient temperature, and the first ambient temperature.

[0079] In some feasible embodiments of this application, the processor can first determine the temperature correction value for each indoor unit, the first correction coefficient for the entire unit, the second correction coefficient for the entire unit, and the third correction coefficient for the entire unit. Then, the processor can determine the second inlet pipe temperature based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature. After obtaining the first correction coefficient, the second correction coefficient, the third correction coefficient, the second inlet pipe temperature, the average ambient temperature, and the first ambient temperature, the processor can determine the simulated temperature based on the first correction coefficient, the second correction coefficient, the third correction coefficient, the second inlet pipe temperature, the average ambient temperature, and the first ambient temperature.

[0080] Furthermore, referring to Figure 4 , Figure 4 This is a schematic diagram illustrating the steps in this embodiment of the process of determining the second inlet pipe temperature based on the first indoor unit capacity, temperature correction value, first inlet pipe temperature, and first outlet pipe temperature. Figure 4 Specifically, the method may include steps S301-S303.

[0081] S301. Determine the total corrected capacity of all indoor units based on the capacity of the first indoor unit, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature.

[0082] S302. Determine the total indoor unit capacity of all indoor units based on the capacity of the first indoor unit.

[0083] S303. Based on the total corrected capacity of the indoor unit and the total capacity of the indoor unit, the second inlet pipe temperature is obtained.

[0084] In some feasible embodiments of this application, the processor can determine the total corrected capacity of all indoor units based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature. Based on the first indoor unit capacity, the processor can determine the total indoor unit capacity of all indoor units. Based on the total corrected capacity and the total indoor unit capacity, the processor can obtain the second inlet pipe temperature.

[0085] Furthermore, referring to Figure 5 , Figure 5 This is a schematic diagram illustrating the steps of determining the simulated temperature based on a first correction factor, a second correction factor, a third correction factor, a second inlet pipe temperature, an average ambient temperature, and a first ambient temperature, as described in this embodiment of the application. Figure 5 Specifically, this step may include steps S401-S405.

[0086] S401. Multiply the second inlet pipe temperature by the first correction factor to obtain the first product.

[0087] S402. Multiply the average ambient temperature by the second correction factor to obtain the second product.

[0088] S403. Multiply the second inlet temperature by the third correction factor to obtain the third product.

[0089] S404. Sum the first product, the second product, and the third product to obtain the first sum.

[0090] S405, using the first and the as the simulated temperature.

[0091] In some feasible embodiments of this application, the processor can product the second inlet pipe temperature with a first correction factor to obtain a first product. It can then product the average ambient temperature with a second correction factor to obtain a second product. Finally, it can product the second inlet pipe temperature with a third correction factor to obtain a third product. The processor can then sum the first, second, and third products to obtain a first sum. The processor uses this first sum as the simulated temperature.

[0092] Furthermore, referring to Figure 6 , Figure 6 This is a schematic diagram illustrating the steps in this embodiment of the process of determining the upper and lower limits of the inlet temperature for the current control cycle based on the first target inlet temperature, the average ambient temperature, and the first inlet temperature. Figure 6 Specifically, this step may include steps S501-S502.

[0093] S501. Determine the second target inlet temperature for the current control cycle based on the first target inlet temperature, the average ambient temperature, and the first inlet temperature.

[0094] S502. Based on the second target inlet pipe temperature, determine the upper limit temperature and lower limit temperature of the inlet pipe.

[0095] Furthermore, in this embodiment of the application, the step of determining the second calculation capacity requirement of the air conditioner for the next control cycle based on the first calculation capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe may specifically include step S601, step S602, or step S603.

[0096] S601. When the simulated temperature is greater than the upper limit temperature of the inlet pipe, the sum of the first calculation capacity requirement and the first preset capacity requirement shall be used as the second calculation capacity requirement.

[0097] S602. When the simulated temperature is lower than the lower limit temperature of the inlet pipe, the difference between the first calculation capacity requirement and the second preset capacity increment is taken as the second calculation capacity requirement.

[0098] S603. When the simulated temperature is greater than or equal to the lower limit temperature of the inlet pipe and less than or equal to the upper limit temperature of the inlet pipe, the first computing capacity requirement is taken as the second computing capacity requirement.

[0099] Furthermore, referring to Figure 7 , Figure 7This is a schematic diagram illustrating the steps in this embodiment of the application to determine the operating frequency of the next control cycle and control the compressor to operate at that operating frequency based on the second computing capacity requirement. Figure 7 In this process, this step may include steps S701-S703.

[0100] S701. Multiply the second computing capacity requirement by the rated frequency of the whole machine to obtain the fourth product.

[0101] S702. Divide the fourth product by the rated capacity of the outdoor unit to obtain the first product.

[0102] S703, using the first quotient as the operating frequency for the next control cycle and controlling the compressor to operate at the operating frequency.

[0103] In some feasible embodiments of this application, the processor can product the second computing capacity requirement with the rated frequency of the entire unit to obtain a fourth product. The processor then divides the fourth product by the rated capacity of the outdoor unit to obtain a first quotient. After obtaining the first quotient, the processor can use the first quotient as the operating frequency for the next control cycle and control the compressor to operate at the operating frequency.

[0104] The specific implementation principle of this application is explained below with reference to the accompanying drawings:

[0105] Specifically, this embodiment can collect the outdoor unit's ambient temperature T1 from the outdoor unit's main controller, the indoor unit's ambient temperature T2, evaporator inlet pipe temperature T3, and outlet pipe temperature T4 from the indoor unit's main controller, and the user-set temperature T5 from the wired controller or remote controller. The outdoor and indoor units use conventional CAN communication; the user-set temperature and the temperature detected by the indoor unit's temperature sensor can be transmitted to the outdoor unit controller. The outdoor unit controller and the cloud computing center have wireless data exchange capabilities. The cloud computing center has data storage, cleaning, and model training functions, achieving intelligent adjustment and control through model training.

[0106] Reference Figure 8 The specific intelligent adjustment method of the air conditioner is to adjust the frequency of the compressor in the outdoor unit.

[0107] Specifically, in this embodiment, the air conditioner's capacity requirement for the next control cycle can be calculated based on the average inlet pipe temperature of all indoor units in the current control cycle. After obtaining the capacity requirement, it is converted into a frequency for air conditioner adjustment. The specific formula for converting capacity requirement into frequency is shown in formula (1). The compressor's frequency for the next control cycle can change according to the capacity requirement.

[0108] F t+1 =F s *N t+1 / Y (1)

[0109] In formula (1) Ft+1 The operating frequency of the press in the next control cycle; F s Y is the rated frequency of the compressor, which is a preset frequency value; N is the rated capacity of the outdoor unit, which is the pre-designed operating capacity of the outdoor unit; t+1 The calculated capacity requirement for the next control cycle is the sum of the capacity requirements of each indoor unit in the current control cycle, plus the change in capacity requirements between the current and next control cycles.

[0110] Specifically, the capability requirements for the next control cycle can be achieved through the following process:

[0111] First, calculate the intermediate transition value, which is the simulated temperature T. 模拟 .

[0112] Then, the upper limit temperature T of the inlet pipe is calculated. 上限 and the lower limit temperature T of the inlet pipe 下限 .

[0113] Finally, based on the upper limit temperature T of the inlet pipe 上限 and the lower limit temperature T of the inlet pipe 下限 and simulated temperature T 模拟 Determine the capacity requirements for the next control cycle.

[0114] When [T] 模拟 ]>[T 上限 When [the requirement is met], the output will be increased by z1% based on the current capacity requirement. However, if the increased capacity value is less than 0.4kW, the minimum increase will be 0.4kW, and the maximum increase will be up to x1% of the computing capacity.

[0115] When [T] 模拟 ] < [T 下限 When [the system] is in operation, the output c1% will be reduced based on the current capacity requirements, up to a maximum of v1% of the overall computing capacity of the machine; (Note: z1%, x1%, c1%, v1%, and b1% are all preset values).

[0116] When [T] 下限 ]≤[T 模拟 ]≤[T 上限 When within the controllable range, the corresponding capacity output is maintained.

[0117] When an indoor unit is turned on (including restarts after reaching a certain temperature), and the absolute value of the change in the overall unit's computing capacity demand is ≥b1%, the overall unit's current capacity output will be directly increased by the computing capacity demand of the newly turned-on indoor unit. Otherwise, the current overall unit's upscaling capability will be cancelled, and the unit will maintain comfort settings.

[0118] When an internal unit is shut down (including an internal unit that has reached a certain temperature), the computing power required to shut down the internal unit is directly subtracted from the current capacity output of the entire machine.

[0119] Furthermore, the T of this application 上限 And T 下限 It can be made by T 目标 We can obtain the specific formulas (2) and (3).

[0120] T 上限 =T 目标 +X(2)

[0121] T 下限 =T 目标 -Z(3)

[0122] In the above formulas (2) and (3), T 目标 This is a calculation transition value. It is understood that X in the above formula (2) can be any value, such as 1, 0.8, or 1.2. The specific value can be adjusted according to the designer's or user's needs; no specific limit is imposed here. Similarly, Z in the above formula (3) can be any value, such as 1.1, 0.5, or 0.3. The specific value can be adjusted according to the designer's or user's needs; no specific limit is imposed here.

[0123] Target inlet temperature T 目标 The calculation can be performed using the following formula:

[0124] T 目标 =γ1*(T 2v -T3)+T 目标-1

[0125] Where γ1 is a variable, according to T 2v The difference between -T3 is assigned different values ​​according to the interval, T 目标-1 The first target inlet temperature of the previous control cycle.

[0126] Furthermore, the simulated temperature T 模拟 It can be obtained through formula (4):

[0127] T 模拟 =T emva *k1+T 2v *k2+T1*k3(4)

[0128] In formula (4), T emva The second inlet pipe temperature is given by k1, k2, and k3, which are the first, second, and third correction factors for the entire system, respectively. T 2v This represents the average ambient temperature for all indoor units.

[0129] Second inlet pipe temperature T emva The average inlet pipe temperature of all indoor units in the current control cycle is given by formula (5).

[0130] T emva = (Σ(T i +K Ti )*A i / ΣA ei (5)

[0131] In formula (5), Σ represents the summation operation, and T i Let K be the inlet pipe temperature of any indoor unit at startup. Ti For any temperature correction value, A i For any indoor unit's rated capacity, A ei Let i be the indoor unit capacity for any given indoor unit during the current control cycle, and let i be the indoor unit number. Ti For any given temperature correction value, it can be achieved through the following process.

[0132] First, the temperature difference T between the outlet temperature T4 and the inlet temperature T3 is determined using formula (6). 温差 .

[0133] Then, after obtaining the temperature difference, this embodiment can determine different temperature correction values ​​according to different temperature difference ranges.

[0134] T 温差 =T4-T3-T sh-indoor (6)

[0135] In the above formula (6), T sh-indoor The target superheat level for the indoor environment can be a preset value.

[0136] This embodiment obtains T 温差 Then, when n1≤T 温差 ≤ m1, K Ti = T 温差 / 4; when T 温差 >m1,K Ti =1; when T 温差 <n1,K Ti =-1, where m1 and n1 are specific numbers.

[0137] The overall correction coefficients k1, k2, and k3 can be obtained from data analysis. Specifically, k1 is calculated based on the average temperature-reaching shutdown time during historical use. The temperature-reaching calculation method for iterative historical data is shown in formula (7).

[0138] t d =Σ((t) di-1+ t di历史 ) / 2)*A i / ΣA ei (7)

[0139] In formula (7), Σ represents the summation operation, and t d The time t is the time it takes for the machine to reach the required temperature and stop during the previous control cycle. di-1为 t represents the temperature-reaching shutdown time of the previous control cycle. di历史 This is the average time for the system to reach temperature and stop after all control cycles prior to the previous control cycle. (A) i For any indoor unit's rated capacity, A ei Let i represent the capacity of any indoor unit during its current control cycle, where i is the indoor unit number. All of these times can be stored in memory and retrieved when the processor runs the algorithm.

[0140] After obtaining the temperature-reaching shutdown time of the previous control cycle, k1 can be determined according to the formula set, which is:

[0141] t d >t d-1 k1=e;

[0142] t d =t d-1 k1=1;

[0143] t d <t d-1 k1=f;

[0144] Where e and f are specific numbers, which can be configured to any constant value according to user needs.

[0145] k2 is the difference ΔT between the set temperature T5 and the indoor ambient temperature T2. a The calculation yields ΔT. a It can be obtained through formula (8).

[0146] △T a =Σ((T 2i -T 5i )*A i / ΣA ei (8)

[0147] Σ represents the summation operation, T5 is the set temperature, T2 is the indoor ambient temperature, and A... i For any indoor unit's rated capacity, A ei Let i be the capacity of any indoor unit in the current control cycle, where i is the indoor unit number.

[0148] After obtaining the temperature difference, k2 can be determined using the following set of formulas:

[0149] △T>y,k2=i;

[0150] u≤△T≤y,k2=0;

[0151] △T>u, k2=p;

[0152] y, u, i, p are specific numbers that can be configured to any constant value according to user needs.

[0153] k3 is the difference ΔT between the set temperature T5 and the outer ring temperature T1. b The calculation yields ΔT. b It can be obtained through formula (9).

[0154] △T b =Σ((T1-T 5i )*A i / ΣA ei (9)

[0155] Σ represents the summation operation, and △T b To set the difference between indoor unit temperature T5 and outdoor ambient temperature T1, where T5 is the indoor unit's set temperature and T1 is the outdoor ambient temperature, A i For any indoor unit's rated capacity, A ei Let i be the capacity of any indoor unit in the current control cycle, where i is the indoor unit number.

[0156] After obtaining the difference between the set temperature T5 and the outer ring temperature T1, k3 can be determined using the following formula set:

[0157] △T b >a, k3=d;

[0158] s≤△T b ≤a, k3=0;

[0159] △T b <s, k3=g;

[0160] Where a, s, d, and g are specific constants that can be configured to any constant value according to user needs.

[0161] In addition, refer to Figure 9 ,and Figure 1Corresponding to the method described above, this application also provides an intelligent control system for multi-split air conditioners. This system can control an air conditioner with several indoor units, and may include: an acquisition unit 1001, a first processing unit 1002, a second processing unit 1003, a third processing unit 1004, and a fourth processing unit 1005. The acquisition unit 1001 is used to acquire the first calculated capacity requirement for the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle. The first processing unit 1002 can be used to determine the simulated temperature for controlling the air conditioner in the current control cycle based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity. The second processing unit 1003 can be used to determine the upper limit temperature and the lower limit temperature of the inlet pipe for the current control cycle based on the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature. The third processing unit 1004 can be used to determine the second calculated capacity requirement of the air conditioner for the next control cycle based on the first calculated capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe. The fourth processing unit 1005 can be used to determine the operating frequency of the next control cycle based on the second calculated capacity requirement and control the compressor to operate at the operating frequency.

[0162] It should be noted that the acquisition unit can be any integrated circuit unit or microprocessor unit obtained by integrating a chip with processing functions and its peripheral circuits using existing integration technology. Similarly, the first processing unit and the second processing unit can also be any integrated circuit module or microprocessor module obtained by integrating a chip with processing functions and its peripheral circuits using existing integration technology. Furthermore, the first processing unit and the second processing unit may include one or more memories. These memories can be used to store the specific algorithms used for compression and adjustment processing in this application.

[0163] It should be noted that the content of the above-described intelligent control method embodiments for multi-split air conditioners is applicable to the embodiments of this intelligent control system for multi-split air conditioners. The specific functions implemented by the embodiments of this intelligent control system for multi-split air conditioners are the same as those of the above-described intelligent control method embodiments for multi-split air conditioners, and the beneficial effects achieved are also the same as those achieved by the above-described intelligent control method embodiments for multi-split air conditioners.

[0164] and Figure 1 Corresponding to the method described in this application, an intelligent control device for multi-split air conditioners is also provided, the specific structure of which can be referred to... Figure 10 ,include:

[0165] At least one processor 1011;

[0166] At least one memory 1012 is used to store at least one program;

[0167] When at least one program is executed by at least one processor, the intelligent control method for multi-split air conditioners implemented by at least one processor is achieved.

[0168] The content of the above method embodiments is applicable to the device embodiments. The specific functions implemented by the device embodiments are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0169] and Figure 1 Corresponding to the method described above, this application also provides a computer-readable storage medium storing processor-executable instructions, which, when executed by a processor, are used to execute a method for intelligent control of multi-split air conditioners.

[0170] The contents of the above-described intelligent control method embodiments for multi-split air conditioners are all applicable to this storage medium embodiment. The specific functions implemented by this storage medium embodiment are the same as those of the above-described intelligent control method embodiments for multi-split air conditioners, and the beneficial effects achieved are also the same as those achieved by the above-described intelligent control method embodiments for multi-split air conditioners.

[0171] In some alternative embodiments, the functions / operations mentioned in the block diagrams may not occur in the order shown in the operation diagrams. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order. Furthermore, the embodiments presented and described in the flowcharts of this application are provided by way of example to provide a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and sub-operations described as part of a larger operation are executed independently.

[0172] Furthermore, although this application is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and / or features may be integrated into a single physical device and / or software module, or one or more functions and / or features may be implemented in a separate physical device or software module. It is also understood that a detailed discussion of the actual implementation of each module is unnecessary for understanding this application. Rather, given the properties, functions, and internal relationships of the various functional modules in the apparatus disclosed herein, the actual implementation of the module will be understood within the scope of conventional technology for an engineer. Therefore, those skilled in the art can implement the application set forth in the claims using ordinary techniques without excessive experimentation. It is also understood that the specific concepts disclosed are merely illustrative and not intended to limit the scope of this application, which is determined by the full scope of the appended claims and their equivalents.

[0173] 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 application, in essence, 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 programs 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 application. 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.

[0174] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequential list of executable programs for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, a program execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can retrieve and execute a program from or in conjunction with such a program execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can mean any means that can contain, store, communicate, propagate, or transmit a program for use by or in conjunction with a program execution system, apparatus, or device.

[0175] More specific examples (a non-exhaustive list) of computer-readable media include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which programs can be printed, because programs can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0176] It should be understood that various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in memory and executed by a suitable program execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0177] In the foregoing description of this specification, the references to terms such as "one embodiment," "another embodiment," or "some embodiments," etc., indicate that a specific feature, structure, material, or characteristic described in connection with an embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0178] Although embodiments of this application have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of this application, the scope of which is defined by the claims and their equivalents.

[0179] The above is a detailed description of the preferred embodiments of this application, but this application is not limited to the embodiments. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of this application, and these equivalent modifications or substitutions are all included within the scope defined by the claims of this application.

Claims

1. A method for intelligent control of multi-split air conditioners, characterized in that, The air conditioner includes several indoor units, and the control method includes: Obtain the first computing capacity requirement for the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle. The simulated temperature of the air conditioner is determined based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity. Based on the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature, determine the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle. Based on the first calculation capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe, determine the second calculation capacity requirement of the air conditioner for the next control cycle; Based on the second calculated capacity requirement, determine the operating frequency of the next control cycle and control the compressor to operate at the operating frequency; The step of determining the simulated temperature of the air conditioner for the current control cycle based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity specifically includes: The system obtains the temperature correction value for each indoor unit, the first correction coefficient for the entire unit, the second correction coefficient for the entire unit, and the third correction coefficient for the entire unit. The first correction coefficient is calculated based on the average temperature-reaching shutdown time during the historical use of the entire unit. The second correction coefficient is calculated based on the difference between the user's set temperature and the indoor ambient temperature. The third correction coefficient is calculated based on the difference between the user's set temperature and the first ambient temperature. The second inlet pipe temperature is determined based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature; the second inlet pipe temperature is the average inlet pipe temperature of all indoor units in the current control cycle. The simulated temperature is determined based on the first correction factor, the second correction factor, the third correction factor, the second inlet pipe temperature, the average ambient temperature, and the first ambient temperature.

2. The intelligent control method for multi-split air conditioners according to claim 1, characterized in that, The step of determining the second inlet pipe temperature based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature specifically includes: Based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature, determine the total corrected capacity of all indoor units. Based on the capacity of the first indoor unit, determine the total indoor unit capacity of all indoor units; The second inlet pipe temperature is obtained based on the total corrected capacity of the indoor unit and the total capacity of the indoor unit.

3. The intelligent control method for multi-split air conditioners according to claim 1, characterized in that, The step of determining the simulated temperature based on the first correction coefficient, the second correction coefficient, the third correction coefficient, the second inlet pipe temperature, the average ambient temperature, and the first ambient temperature specifically includes: The first product is obtained by multiplying the second inlet temperature by the first correction coefficient; The average ambient temperature is multiplied by the second correction coefficient to obtain the second product; The third product is obtained by multiplying the second inlet temperature by the third correction coefficient; Summing the first product, the second product, and the third product yields the first sum. The first and the second are used as the simulated temperatures.

4. The intelligent control method for multi-split air conditioners according to claim 1, characterized in that, The step of determining the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle based on the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature specifically includes: The second target inlet temperature for the current control cycle is determined based on the first target inlet temperature, the average ambient temperature, and the first inlet temperature. Based on the second target inlet temperature, the upper limit temperature and the lower limit temperature of the inlet are determined.

5. The intelligent control method for multi-split air conditioners according to claim 1, characterized in that, The step of determining the second calculated capacity requirement of the air conditioner for the next control cycle based on the first calculated capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe specifically includes: When the simulated temperature is greater than the upper limit temperature of the inlet pipe, the sum of the first calculated capacity requirement and the first preset capacity requirement is taken as the second calculated capacity requirement. When the simulated temperature is lower than the lower limit temperature of the inlet pipe, the difference between the first computing capacity requirement and the second preset capacity increment is taken as the second computing capacity requirement. When the simulated temperature is greater than or equal to the lower limit temperature of the inlet pipe and less than or equal to the upper limit temperature of the inlet pipe, the first computing capacity requirement is used as the second computing capacity requirement.

6. The intelligent control method for multi-split air conditioners according to claim 1, characterized in that, The step of determining the operating frequency of the next control cycle and controlling the compressor to operate at the operating frequency based on the second calculated capacity requirement includes: The fourth product is obtained by multiplying the second computing capacity requirement by the rated frequency of the whole machine; The first quotient is obtained by dividing the fourth product by the rated capacity of the outdoor unit; The first quotient is used as the operating frequency for the next control cycle, and the compressor is controlled to operate at the operating frequency.

7. An intelligent control system for multi-split air conditioners, characterized in that, include: The acquisition unit is used to acquire the first computing capacity requirement of the current control cycle, the first outdoor ambient temperature, the average ambient temperature of all indoor units, the first inlet pipe temperature of each indoor unit, the first outlet pipe temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet pipe temperature of the previous control cycle. The first processing unit is used to determine the simulated temperature of the air conditioner for the current control cycle based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity. The second processing unit is used to determine the upper limit temperature and lower limit temperature of the inlet pipe for the current control cycle based on the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature. The third processing unit is used to determine the second computing capacity requirement of the air conditioner for the next control cycle based on the first computing capacity requirement, the simulated temperature, the upper limit temperature of the inlet pipe, and the lower limit temperature of the inlet pipe. The fourth processing unit is used to determine the operating frequency of the next control cycle based on the second computing capacity requirement and control the compressor to operate at the operating frequency. The step of determining the simulated temperature of the air conditioner for the current control cycle based on the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity specifically includes: The system obtains the temperature correction value for each indoor unit, the first correction coefficient for the entire unit, the second correction coefficient for the entire unit, and the third correction coefficient for the entire unit. The first correction coefficient is calculated based on the average temperature-reaching shutdown time during the historical use of the entire unit. The second correction coefficient is calculated based on the difference between the user's set temperature and the indoor ambient temperature. The third correction coefficient is calculated based on the difference between the user's set temperature and the first ambient temperature. The second inlet pipe temperature is determined based on the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature; the second inlet pipe temperature is the average inlet pipe temperature of all indoor units in the current control cycle. The simulated temperature is determined based on the first correction factor, the second correction factor, the third correction factor, the second inlet pipe temperature, the average ambient temperature, and the first ambient temperature.

8. An intelligent control device for multi-split air conditioners, characterized in that... include: At least one processor; At least one memory for storing at least one program; When the at least one program is executed by the at least one processor, the at least one processor implements the intelligent control method for multi-split air conditioners as described in any one of claims 1-6.

9. A computer-readable storage medium storing processor-executable instructions, characterized in that, The processor-executable instructions, when executed by the processor, are used to perform the intelligent control method for multi-split air conditioners as described in any one of claims 1-6.

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