Intelligent control method, system and device for multi-split air conditioner and medium

Abstract

The invention discloses an air conditioner multi-split intelligent control method, system and device and a storage medium. The method comprises the steps that the first calculation capacity requirement of the current control period, the first outdoor environment temperature, 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 the last control period are obtained; determining a first calculation capacity demand, a simulation temperature, an inlet pipe upper limit temperature and an inlet pipe lower limit temperature according to the parameters, and determining a second calculation capacity demand of the air conditioner in the next control period according to the first calculation capacity demand, the simulation temperature, the inlet pipe upper limit temperature and the inlet pipe lower limit temperature; and according to the second calculation capacity requirement, the working frequency of the next control period is determined, and the compressor is controlled to operate at the working frequency. The method can be widely applied to the technical field of air conditioner control.

Description

Technical Field

[0001] The present application relates to the field of air conditioner control technology, and in particular to a method, system, device and storage medium for intelligent control of multi-connected air conditioners. Background Art

[0002] In the related art, some air conditioners may include an outdoor unit and several indoor units. Each indoor unit has an inherent pipe temperature, and the air conditioner can adjust the amount of refrigerant and the output of the outdoor unit through the pipe temperature of the indoor unit. However, with the change of seasons, the uniform and fixed pipe temperature sometimes causes the power output of the air conditioner to be too large, resulting in large fluctuations. Sometimes it will cause the power output of the air conditioner to be insufficient and difficult to meet actual needs. On the other hand, different groups of people have specific needs, so the preset pipe temperature is difficult to meet the needs of users, reducing the user experience. Therefore, there are still technical problems that need to be solved in the related art. Summary of the invention

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

[0004] To this end, an object of an embodiment of the present application is to provide a method, system, device and storage medium for intelligent control of a multi-connected air conditioner, which can improve the stability of air conditioner control and improve user experience.

[0005] In order to achieve the above technical objectives, the technical solutions adopted by the embodiments of the present application include: a method for intelligent control of a multi-split air conditioner, wherein the air conditioner includes a plurality of indoor units, and the control method includes: obtaining a first computing capacity requirement of a 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 a previous control cycle; determining a simulated temperature for controlling the air conditioner in the current control cycle according to 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 an inlet pipe upper limit temperature and an inlet pipe lower limit temperature of the current control cycle according to the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature; determining a second computing capacity requirement of the air conditioner in the next control cycle according to the first computing capacity requirement, the simulated temperature, the inlet pipe upper limit temperature, and the inlet pipe lower limit temperature; determining an operating frequency of the next control cycle according to the second computing capacity requirement and controlling the compressor to operate at the operating frequency.

[0006] The present application can obtain 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 temperature of each indoor unit, the first outlet temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet temperature of the previous control cycle; according to the first ambient temperature, the average ambient temperature, the first inlet temperature, the first outlet temperature, and the first indoor unit capacity, determine the simulated temperature of the air conditioner controlled in the current control cycle; according to the first target inlet temperature, the average ambient temperature, and the first inlet temperature, determine the inlet upper limit temperature and the inlet lower limit temperature of the current control cycle; according to the first computing capacity requirement, the simulated temperature, the inlet upper limit temperature and the inlet lower limit temperature, determine the second computing capacity requirement of the air conditioner in the next control cycle; according to the second computing capacity requirement, determine the operating frequency of the next control cycle and control the compressor to operate at the operating frequency. Compared with the traditional air conditioning control method, the present application adds 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 outlet temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet temperature of the previous control cycle, etc., which can improve the stability of air conditioner control and improve user experience.

[0007] In addition, the multi-connected intelligent control method of an air conditioner according to the above embodiment of the present invention may also have the following additional technical features:

[0008] Further, in the embodiment of the present application, determining the simulated temperature of the air conditioner controlled in the current control cycle according to 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] Obtaining a temperature correction value of each indoor unit, a first correction coefficient, a second correction coefficient, and a third correction coefficient of the entire unit;

[0010] determining a second inlet pipe temperature according to the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature;

[0011] The simulation temperature is determined according to 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.

[0012] Further, in the embodiment of the present application, determining the second inlet pipe temperature according to the first internal unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature specifically includes:

[0013] determining a total corrected capacity of indoor units of all indoor units according to the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature;

[0014] Determining the total indoor unit capacity of all indoor units according to the first indoor unit capacity;

[0015] A second pipe inlet temperature is obtained according to the total corrected capacity of the indoor units and the total indoor unit capacity.

[0016] Further, in an embodiment of the present application, determining the simulated temperature according to 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] Multiplying the second inlet pipe temperature by the first correction coefficient to obtain a first product;

[0018] Multiplying the average ambient temperature by the second correction coefficient to obtain a second product;

[0019] Producting the second inlet pipe temperature by the third correction coefficient to obtain a third product;

[0020] Add the first product, the second product and the third product to obtain a first sum;

[0021] The first sum is used as the simulation temperature.

[0022] Further, in the embodiment of the present application, determining the inlet pipe upper limit temperature and the inlet pipe lower limit temperature of the current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature specifically includes:

[0023] determining a second target inlet pipe temperature of a current control cycle according to the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature;

[0024] The inlet pipe upper limit temperature and the inlet pipe lower limit temperature are determined based on the second target inlet pipe temperature.

[0025] Further, in the embodiment of the present application, determining the second computing capacity requirement of the air conditioner in the next control period according to 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 specifically includes:

[0026] When the simulated temperature is greater than the inlet pipe upper limit temperature, the sum of the first calculated capacity requirement and the first preset capacity requirement is used 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 calculated capacity requirement and the second preset capacity increment is used as the second calculated 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 the embodiment of the present application, determining the operating frequency of the next control cycle according to 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] Taking the fourth product as a quotient and the rated capacity of the outdoor unit as a quotient to obtain a first quotient;

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

[0033] On the other hand, the embodiment of the present application also provides an air conditioner multi-connection intelligent control system, including:

[0034] an acquisition unit, configured to acquire a first computing capacity requirement of a 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 a previous control cycle;

[0035] a first processing unit, configured to determine a simulated temperature for controlling the air conditioner in a current control cycle according to 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] a second processing unit, configured to determine an upper limit temperature of the inlet pipe and a lower limit temperature of the inlet pipe in a current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature;

[0037] a third processing unit, configured to determine a second computing capacity requirement of the air conditioner in the next control period according to the first computing capacity requirement, the simulated temperature, the inlet pipe upper limit temperature and the inlet pipe lower limit temperature;

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

[0039] On the other hand, the present application also provides a multi-connected intelligent control device for an air conditioner, 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 a multi-connected intelligent control method for an air conditioner as described in any one of the invention contents.

[0043] In addition, the present application also provides a computer-readable storage medium, which stores processor-executable instructions. When the processor executes the instructions, the processor-executable instructions are used to execute a multi-connected intelligent control method for an air conditioner as described in any of the above items.

[0044] The advantages and benefits of the present application will be partially given in the following description, and partially become apparent from the following description, or be understood through the practice of the present application:

[0045] The present application can obtain 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 temperature of each indoor unit, the first outlet temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet temperature of the previous control cycle; according to the first ambient temperature, the average ambient temperature, the first inlet temperature, the first outlet temperature, and the first indoor unit capacity, determine the simulated temperature of the air conditioner controlled in the current control cycle; according to the first target inlet temperature, the average ambient temperature, and the first inlet temperature, determine the inlet upper limit temperature and the inlet lower limit temperature of the current control cycle; according to the first computing capacity requirement, the simulated temperature, the inlet upper limit temperature and the inlet lower limit temperature, determine the second computing capacity requirement of the air conditioner in the next control cycle; according to the second computing capacity requirement, determine the operating frequency of the next control cycle and control the compressor to operate at the operating frequency. Compared with the traditional air conditioning control method, the present application adds 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 outlet temperature of each indoor unit, the first indoor unit capacity of each indoor unit, and the first target inlet temperature of the previous control cycle, etc., which can improve the stability of air conditioner control and improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A schematic diagram of the steps of a multi-connected intelligent control method for air conditioners in a specific embodiment of the present invention;

[0047] Figure 2 It is a structural schematic diagram of the air conditioner in the present invention;

[0048] Figure 3 A schematic diagram of a step of determining a simulated temperature of an air conditioner controlled in a current control cycle according to a first ambient temperature, an average ambient temperature, a first inlet pipe temperature, a first outlet pipe temperature and a first internal unit capacity in a specific embodiment of the present invention;

[0049] Figure 4 It is a schematic diagram of the steps of determining the second inlet pipe temperature according to the first internal machine capacity, the temperature correction value, the first inlet pipe temperature and the first outlet pipe temperature in a specific embodiment of the present invention;

[0050] Figure 5 A schematic diagram of the steps of determining the simulated temperature according to 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 in a specific embodiment of the present invention;

[0051] Figure 6 It is a schematic diagram of the steps of determining the inlet pipe upper limit temperature and the inlet pipe lower limit temperature of the current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature in a specific embodiment of the present invention;

[0052] Figure 7 A schematic diagram of the steps of determining the operating frequency of the next control cycle and controlling the compressor to operate at the operating frequency according to the second calculated capacity requirement in a specific embodiment of the present invention;

[0053] Figure 8 A schematic diagram of a flow chart of a multi-connected intelligent control method for air conditioners in a specific embodiment of the present invention;

[0054] Fig. 9 It is a structural schematic diagram of a multi-connected intelligent control system for air conditioners in a specific embodiment of the present invention;

[0055] Fig.10 The present invention is a schematic structural diagram of a multi-connected intelligent control device for air conditioners in a specific embodiment of the present invention. DETAILED DESCRIPTION

[0056] The embodiments of the present invention are described in detail below with reference to the accompanying drawings to explain the principles and processes of the multi-split intelligent control method, system, device and storage medium for air conditioners in the embodiments of the present invention.

[0057] In the related art, some air conditioners may include an outdoor unit and several indoor units. Each indoor unit may have a corresponding indoor temperature. Each indoor unit has an inherent pipe temperature, and the air conditioner can adjust the amount of refrigerant and the output capacity of the outdoor unit by the pipe temperature of the indoor unit. However, with the change of seasons, the uniform and fixed pipe temperature sometimes causes the power output of the air conditioner to be too large, causing large fluctuations. Sometimes it will cause the power output of the air conditioner to be insufficient and difficult to meet actual needs. On the other hand, different groups of people have specific needs, so the preset pipe temperature is difficult to meet the needs of users, reducing the user experience. Therefore, there are still technical problems that need to be solved in the related art.

[0058] In view of the above-mentioned defects of the prior art, the present application proposes a multi-connected intelligent control method for air conditioners. Figure 2 The air conditioner controlled by the control method of the present application may include an outdoor unit, several indoor units, an indoor unit controller and an outdoor unit controller. Among them, the outdoor unit may include a compressor. Each indoor unit may include a pipe for the refrigerant to enter and a pipe for the refrigerant to discharge, and correspondingly, the temperature of their pipes can be detected by a temperature detector. The temperature corresponding to the pipe for the refrigerant to enter is the inlet temperature, and the pipe for the refrigerant to discharge is the outlet temperature. The outdoor unit also includes an outdoor ambient temperature detector, and the indoor unit also includes an indoor ambient temperature detector. The specific steps of the control method can be referred to Figure 1 .exist Figure 1 In the invention, the multi-connected intelligent control method of the air conditioner may include but is not limited to steps S101 to S105.

[0059] S101, obtaining 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.

[0060] It is understandable that any two indoor units can be configured in two different environments, and each indoor unit corresponds to an ambient temperature. The first calculation capacity requirement can be the calculation capacity requirement of the current control cycle, which can be obtained through the calculation 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 before the previous control cycle. The first ambient temperature can be the outdoor ambient temperature measured by the outdoor ambient temperature detector of the current control cycle, and the average ambient temperature can be the indoor ambient temperature measured by the indoor ambient temperature detector of the current control cycle. The first inlet pipe temperature can be the inlet pipe temperature of the current control cycle corresponding to each indoor unit. The first outlet pipe temperature can be the outlet pipe temperature of the current control cycle corresponding to each indoor unit. The indoor unit capacity refers to the working efficiency of the air conditioner 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 has a certain difference 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 transition value in the calculation process, which can be stored in the memory and can be called by the processor during the algorithm calculation.

[0061] In some feasible embodiments of the application, a processor or other chip with data processing function can establish a wired or wireless connection with an acquisition unit or a detector or a memory capable of acquiring data. After establishing a wired or wireless connection, the processor can obtain 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 method may include a connection between a mobile device and a processing module, and may also include a connection between a processing module and a hardware device, as well as a wired connection between other devices currently known or to be developed in the future and the processing module; and the above-mentioned wireless connection method may include but is not limited to 3G / 4G / 5G connection, WiFi connection, Bluetooth connection, WiMAX connection, Zigbee connection, UWB (Ultra Wide Band) connection, and other wireless connection methods currently known or to be developed in the future.

[0063] S102: Determine a simulated temperature for controlling the air conditioner in the current control cycle according to the first ambient temperature, the average ambient temperature, the first pipe inlet temperature, the first pipe outlet temperature, and the first indoor unit capacity.

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

[0065] In some embodiments of the present application, the processor may determine the simulated temperature of the air conditioner controlled 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 internal unit capacity.

[0066] S103 . Determine an upper limit temperature of the inlet pipe and a lower limit temperature of the inlet pipe in the current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature.

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

[0068] In some feasible embodiments of the present application, the processor may determine the inlet pipe upper limit temperature and the inlet pipe lower limit temperature of the current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature.

[0069] S104: Determine a second calculation capacity requirement for the air conditioner in the next control period according to 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.

[0070] It can be understood that the second computing capacity requirement can be used to calculate the transition parameter of the operating frequency.

[0071] In some feasible embodiments of the present application, the processor can determine the second computing capacity requirement of the air conditioner in 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. Determine the operating frequency of the next control cycle according to the second calculated capacity requirement and control the compressor to operate at the operating frequency.

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

[0074] In summary, the present application can obtain 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; determine the simulated temperature of the air conditioner controlled in the current control cycle according to the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature and the first indoor unit capacity; determine the inlet pipe upper limit temperature and the inlet pipe lower limit temperature of the current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature; determine the second computing capacity requirement of the air conditioner in the next control cycle according to the first computing capacity requirement, the simulated temperature, the inlet pipe upper limit temperature and the inlet pipe lower limit temperature; determine the operating frequency of the next control cycle according to the second computing capacity requirement and control the compressor to operate at the operating frequency. Compared with traditional air-conditioning control methods, the present application adds 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 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 and other parameters, which can improve the stability of air-conditioner control and improve user experience.

[0075] Further, refer to Figure 3 , Figure 3 This is a schematic diagram of the steps of determining the simulated temperature of the air conditioner in the current control cycle according to the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature and the first internal unit capacity in the embodiment of the present application. Figure 3 In the step, the step may include but is not limited to step S201-step S203.

[0076] S201. Obtain a temperature correction value of each indoor unit, a first correction coefficient, a second correction coefficient, and a third correction coefficient of the entire unit.

[0077] S202: Determine a second inlet pipe temperature according to the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature.

[0078] S203, determining a simulation temperature according to 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.

[0079] In some feasible embodiments of the present application, the processor may first determine the temperature correction value of each indoor unit, the first correction coefficient, the second correction coefficient, and the third correction coefficient of the whole unit. Then, the processor may determine the second inlet pipe temperature according to the capacity of the first indoor unit, 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 may determine the simulation temperature according to 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] Further, refer to Figure 4 , Figure 4 Schematic diagram of the steps of determining the second inlet pipe temperature according to the first internal unit capacity, the temperature correction value, the first inlet pipe temperature and the first outlet pipe temperature in the embodiment of the present application. Figure 4 In the method, the method may specifically include steps S301 to S303.

[0081] S301, determining the total corrected capacity of indoor units of all indoor units according to the first indoor unit capacity, the temperature correction value, the first pipe inlet temperature, and the first pipe outlet temperature;

[0082] S302: Determine the total indoor unit capacity of all indoor units according to the first indoor unit capacity.

[0083] S303: Obtain a second pipe inlet temperature according to the total corrected capacity of the indoor units and the total capacity of the indoor units.

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

[0085] Further, refer to Figure 5 , Figure 5 1 is a schematic diagram of the steps of determining the simulated temperature according to 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 in the embodiment of the present application. Figure 5 In the step, the step may specifically include steps S401 to S405.

[0086] S401, multiplying the second inlet pipe temperature by the first correction coefficient to obtain a first product.

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

[0088] S403, multiplying the second inlet pipe temperature by the third correction coefficient to obtain a third product.

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

[0090] S405, taking the first sum as the simulation temperature.

[0091] In some feasible embodiments of the present application, the processor may multiply the second inlet pipe temperature by the first correction coefficient to obtain a first product. Multiply the average ambient temperature by the second correction coefficient to obtain a second product. Multiply the second inlet pipe temperature by the third correction coefficient to obtain a third product. Add the first product, the second product, and the third product to obtain a first sum. The processor uses the first sum as the simulated temperature.

[0092] Further, refer to Figure 6 , Figure 6 Schematic diagram of the steps of determining the upper limit temperature and the lower limit temperature of the inlet pipe in the current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature in the embodiment of the present application. Figure 6 In the embodiment, this step may specifically include steps S501-S502.

[0093] S501 : Determine a second target inlet pipe temperature of a current control cycle according to a first target inlet pipe temperature, an average ambient temperature, and a first inlet pipe temperature.

[0094] S502: Determine an upper limit temperature and a lower limit temperature of the inlet pipe based on the second target inlet pipe temperature.

[0095] Furthermore, in the embodiment of the present application, the step of determining the second calculation capacity requirement of the air conditioner in the next control period 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 can specifically include step S601 or 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 calculated capacity requirement and the first preset capacity requirement is used as the second calculated capacity requirement.

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

[0099] Further, refer to Figure 7 , Figure 7This is a schematic diagram of the steps of determining the operating frequency of the next control cycle and controlling the compressor to operate at the operating frequency according to the second calculation capacity requirement in an embodiment of the present application. Figure 7 In the step, the step may include step S701-step S703.

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

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

[0102] S703: Use the first quotient as the operating frequency of the next control cycle and control the compressor to operate at the operating frequency.

[0103] In some feasible embodiments of the present application, the processor may multiply the second computing capacity requirement by the rated frequency of the whole machine to obtain a fourth product. The processor divides the fourth product by the rated capacity of the outdoor unit to obtain a first quotient. After obtaining the first quotient, the processor may use the first quotient as the operating frequency of the next control cycle and control the compressor to operate at the operating frequency.

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

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

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

[0107] Specifically, this embodiment can calculate the capacity requirement of the air conditioner in the next control cycle according to the average inlet temperature of the indoor unit turned on in the current control cycle. After the capacity requirement is obtained, it is converted into a frequency to adjust the air conditioner. The specific formula for converting the capacity requirement into frequency is as shown in formula (1). The frequency of the next control cycle of the compressor can change according to the capacity requirement.

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

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

[0110] Specifically, the capacity 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 of the inlet pipe T is calculated. 上限 And the lower limit temperature of the inlet pipe T 下限 .

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

[0114] When [T 模拟 ]>[T 上限 ], increase the output by z1% based on the current capacity requirement, but if the increased capacity value is less than 0.4kW, the minimum increase is 0.4kW, and the maximum is added to the computing capacity x1%;

[0115] When [T 模拟 ]<[T 下限 ], the output is reduced by c1% based on the current capacity requirement, and can be reduced to v1% of the computing capacity of the entire machine at most; (Note: z1%, x1%, c1%, v1%, b1% are all preset values).

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

[0117] When there is an indoor unit turned on (including restart after reaching a certain temperature), and the absolute value of the change in the computing capacity demand of the whole machine changes ≥ b1%, the whole machine directly increases the computing capacity demand of the newly turned on indoor unit based on the current capacity output. Otherwise, the current capacity of the whole machine to be upgraded is cancelled, and the unit maintains comfort adjustment.

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

[0119] Furthermore, the T of this application 上限 and T 下限 Can be T 目标 Specifically, it can be obtained according to formula (2) and formula (3).

[0120] T 上限 =T 目标 +X (2)

[0121] T 下限 =T 目标 -Z (3)

[0122] In the above formula (2) and formula (3), T 目标 is a calculated transition value. It is understood that X in the above formula (2) can be any value, which can be 1, 0.8, or 1.2. The specific value can be adjusted according to the designer or user needs, and the specific value is not limited here. Similarly, Z in the above formula (3) can be any value. It can be 1.1, 0.5, or 0.3. The specific value can be adjusted according to the designer or user needs, and the specific value is not limited here.

[0123] Target inlet pipe temperature T 目标 The calculation can be done by 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 -T3 difference is assigned different values ​​according to the interval, T 目标-1 It is the first target inlet pipe temperature of the previous control cycle.

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

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

[0128] In formula (4), T emva is the second inlet pipe temperature, k1, k2, k3 are the first correction coefficient, the second correction coefficient and the third correction coefficient of the whole machine respectively, T 2vis the average ambient temperature of all indoor units.

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

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

[0131] In formula (5), Σ is the summation operation, T i is the inlet pipe temperature of any internal unit when it is turned on, K Ti is any temperature correction value, A i is the rated capacity of any indoor unit, A ei is the capacity of any indoor unit in the current control cycle, and i is the indoor unit number. K Ti is any temperature correction value, which 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 by 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 is the indoor target superheat, which can be a preset value.

[0136] This embodiment obtains T 温差 After that, 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, n1 are specific numbers.

[0137] The whole machine correction coefficients k1, k2, and k3 can be obtained by data analysis. Specifically, k1 is calculated based on the average temperature downtime during historical use. The temperature calculation method of iterative historical data is referred to formula (7).

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

[0139] In formula (7), Σ is the summation operation, t d is the temperature-reaching shutdown time of the previous control cycle, t di-1为 is the temperature-reaching downtime time of the previous cycle before the previous control cycle, t di历史 It is the average time of temperature shutdown in all control cycles before the last control cycle. i is the rated capacity of any indoor unit, A ei is the internal machine capacity of any internal machine in the current control cycle, and i is the internal machine number. The above time can be stored in the memory and can be called 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 group, where the formula group 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] Wherein, e and f are specific numbers, which can be configured as arbitrary constant values ​​according to user requirements.

[0145] And k2 is the difference between the set temperature T5 and the indoor ambient temperature T2. a Calculated, where △T a It can be obtained by formula (8).

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

[0147] Σ is the summation operation, T 5为 Set temperature, T2 is the indoor ambient temperature, A i is the rated capacity of any indoor unit, A ei is the capacity of any indoor unit in the current control cycle, and i is the indoor unit number.

[0148] After obtaining the temperature difference, k2 can be determined according to the formula group, which is:

[0149] △T>y,k2=i;

[0150] u≤△T≤y, k2=0;

[0151] △T>u,k2=p;

[0152] y, u, i, and p are specific numbers, which can be configured as arbitrary constant values ​​according to user requirements.

[0153] k3 is the difference between the set temperature T5 and the outer ring temperature T1, △T b Calculated, where △T b It can be obtained by formula (9).

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

[0155] Σ is the summation operation, △T b is the difference between the set temperature T5 and the outer ring temperature T1, T5 is the set temperature of the indoor unit, T1 is the outdoor ambient temperature, A i is the rated capacity of any indoor unit, A ei is the capacity of any indoor unit in the current control cycle, and 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 by the formula group, where the formula group is:

[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, which can be configured to any constant value according to user requirements.

[0161] In addition, refer to Fig. 9 ,and Figure 1Corresponding to the method, an embodiment of the present application also provides an air conditioner multi-split intelligent control system. The system can control an air conditioner with several indoor units, and the system 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 obtain 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 1002 can be used to determine the simulated temperature of the air conditioner controlled in the current control cycle according to 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 inlet pipe upper limit temperature and the inlet pipe lower limit temperature of the current control cycle according to 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 in the next control cycle according to 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 according to 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 having a processing function and its peripheral circuits through existing integration technology. The first processing unit and the second processing unit can also be any integrated circuit module or microprocessor module obtained by integrating a chip having a processing function and its peripheral circuits through existing integration technology. The first processing unit and the second processing unit can also include one or more memories. One or more memories can be used to store the specific algorithm used for compression adjustment processing in this application.

[0163] It should be noted that the contents of the above-mentioned air conditioner multi-split intelligent control method embodiment are all applicable to the present air conditioner multi-split intelligent control system embodiment, and the functions specifically implemented by the present air conditioner multi-split intelligent control system embodiment are the same as those of the above-mentioned air conditioner multi-split intelligent control method embodiment, and the beneficial effects achieved are also the same as those achieved by the above-mentioned air conditioner multi-split intelligent control method embodiment.

[0164] and Figure 1 Corresponding to the method, the embodiment of the present application also provides a multi-connected intelligent control device for air conditioners, and its specific structure can be referred to Fig.10 ,include:

[0165] at least one processor 1011;

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

[0167] When at least one program is executed by at least one processor, the at least one processor implements a multi-connected intelligent control method for air conditioners.

[0168] The contents of the above method embodiments are all applicable to the present device embodiments. The functions specifically implemented by the present 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, an embodiment of the present application further provides a computer-readable storage medium, which stores processor-executable instructions, and the processor-executable instructions are used to execute the multi-connected air conditioner intelligent control method when executed by the processor.

[0170] The contents of the above-mentioned air conditioner multi-split intelligent control method embodiment are all applicable to the present storage medium embodiment. The functions specifically implemented by the present storage medium embodiment are the same as those of the above-mentioned air conditioner multi-split intelligent control method embodiment, and the beneficial effects achieved are also the same as those achieved by the above-mentioned air conditioner multi-split intelligent control method embodiment.

[0171] In some selectable embodiments, the function / operation mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the function / operation involved, the two boxes shown in succession can actually be executed substantially simultaneously or the boxes can sometimes be executed in reverse order. In addition, the embodiment presented and described in the flow chart of the application is provided by way of example, for the purpose of providing a more comprehensive understanding of technology. The disclosed method is not limited to the operation and logic flow presented herein. Selectable embodiments are expected, wherein the order of various operations is changed and the sub-operation of a part described as a larger operation is performed independently.

[0172] In addition, although the present application is described in the context of functional modules, it should be understood that, unless otherwise specified, one or more of the functions and / or features can be integrated into a single physical device and / or software module, or one or more functions and / or features can 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 the present application. More specifically, in view of the properties, functions, and internal relationships of the various functional modules in the device disclosed herein, the actual implementation of the module will be understood within the conventional techniques of the engineer. Therefore, those skilled in the art can implement the present application set forth in the claims without excessive experimentation using ordinary techniques. It is also understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present application, which is determined by the full scope of the attached claims and their equivalents.

[0173] If the function is implemented in the form of 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 the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several programs to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

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

[0175] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0176] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable program execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0177] In the above description of this specification, the description with reference to the terms "one embodiment / example", "another embodiment / example" or "certain embodiments / examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

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

[0179] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the embodiments. Technical personnel familiar with the field can also make various equivalent modifications or substitutions without violating the spirit of the present application. These equivalent modifications or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A multi-connected intelligent control method for air conditioners, characterized in that: The air conditioner includes a plurality of indoor units, and the control method includes: Obtain 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; Determine a simulated temperature for controlling the air conditioner in a current control cycle according to 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 an upper limit temperature of the inlet pipe and a lower limit temperature of the inlet pipe in a current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature; Determining a second computing capacity requirement for the air conditioner in the next control period according to the first computing capacity requirement, the simulated temperature, the inlet pipe upper limit temperature, and the inlet pipe lower limit temperature; According to the second calculated capacity requirement, an operating frequency of a next control cycle is determined and the compressor is controlled to operate at the operating frequency.

2. According to claim 1, a multi-connected intelligent control method for air conditioners is characterized in that: The step of determining the simulated temperature of the air conditioner to be controlled in the current control period according to 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: Obtaining a temperature correction value of each indoor unit, a first correction coefficient, a second correction coefficient, and a third correction coefficient of the entire unit; determining a second inlet pipe temperature according to the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature; The simulation temperature is determined according to 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.

3. The method for controlling multi-connected air conditioners according to claim 2, characterized in that: The determining the second inlet pipe temperature according to the first internal machine capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature specifically includes: determining a total corrected capacity of indoor units of all indoor units according to the first indoor unit capacity, the temperature correction value, the first inlet pipe temperature, and the first outlet pipe temperature; Determining the total indoor unit capacity of all indoor units according to the first indoor unit capacity; A second pipe inlet temperature is obtained according to the total corrected capacity of the indoor units and the total indoor unit capacity.

4. The method for intelligently controlling a multi-connected air conditioner according to claim 2, characterized in that: The determining the simulation temperature according to 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: Multiplying the second inlet pipe temperature by the first correction coefficient to obtain a first product; Multiplying the average ambient temperature by the second correction coefficient to obtain a second product; Producting the second inlet pipe temperature by the third correction coefficient to obtain a third product; Add the first product, the second product and the third product to obtain a first sum; The first sum is used as the simulation temperature.

5. The method for controlling multi-connected air conditioners according to claim 1, characterized in that: The determining, according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature, an inlet pipe upper limit temperature and an inlet pipe lower limit temperature of a current control cycle specifically includes: determining a second target inlet pipe temperature of a current control cycle according to the first target inlet pipe temperature, the average ambient temperature, and the first inlet pipe temperature; The inlet pipe upper limit temperature and the inlet pipe lower limit temperature are determined based on the second target inlet pipe temperature.

6. The method for controlling multi-connected air conditioners according to claim 1, characterized in that: The step of determining the second computing capacity requirement of the air conditioner in the next control period according to 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 specifically includes: When the simulated temperature is greater than the inlet pipe upper limit temperature, the sum of the first calculated capacity requirement and the first preset capacity requirement is used 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 calculated capacity requirement and the second preset capacity increment is used as the second calculated 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.

7. The method for intelligently controlling a multi-connected air conditioner according to claim 1, characterized in that: The step of determining the operating frequency of the next control cycle according to the second calculated capacity requirement and controlling the compressor to operate at the operating frequency comprises: The fourth product is obtained by multiplying the second computing capacity requirement by the rated frequency of the whole machine; Taking the fourth product as a quotient and the rated capacity of the outdoor unit as a quotient to obtain a first quotient; The first quotient is used as the operating frequency of the next control cycle and the compressor is controlled to operate at the operating frequency.

8. An air conditioner multi-connection intelligent control system, characterized in that: include: an acquisition unit, configured to acquire a first computing capacity requirement of a 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 a previous control cycle; a first processing unit, configured to determine a simulated temperature for controlling the air conditioner in a current control cycle according to the first ambient temperature, the average ambient temperature, the first inlet pipe temperature, the first outlet pipe temperature, and the first indoor unit capacity; a second processing unit, configured to determine an upper limit temperature of the inlet pipe and a lower limit temperature of the inlet pipe in a current control cycle according to the first target inlet pipe temperature, the average ambient temperature and the first inlet pipe temperature; a third processing unit, configured to determine a second computing capacity requirement of the air conditioner in the next control period according to the first computing capacity requirement, the simulated temperature, the inlet pipe upper limit temperature and the inlet pipe lower limit temperature; The fourth processing unit is used to determine the operating frequency of the next control cycle according to the second calculated capacity requirement and control the compressor to operate at the operating frequency.

9. An air conditioner multi-connection intelligent control device, 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 multi-connected intelligent control method for air conditioners as described in any one of claims 1-7.

10. A computer-readable storage medium storing instructions executable by a processor, characterized in that: The processor executable instructions are used to execute a multi-connected intelligent control method for air conditioners as described in any one of claims 1-7 when executed by the processor.

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