Air conditioning system and control method of air conditioning system

Abstract

The application discloses an air conditioning system and a control method thereof, and relates to the technical field of air conditioners. In order to solve the problem that the output capacity of an air conditioner outdoor unit does not match the room demand load due to the fact that the air conditioner outdoor unit is started and controlled according to fixed starting logic and control logic, thereby affecting the user experience. The method comprises the following steps: determining an operation stage and a working mode in which an air conditioner indoor unit is started, and obtaining sampling data of the air conditioning system in the operation stage, wherein the sampling data comprises at least one of an ambient temperature, an outlet temperature, an indoor temperature and a number of compressor start-stop times, and the time interval of different operation stages from the time when the air conditioner indoor unit is started is different. Determine the neural network model corresponding to the operation stage and the working mode in the plurality of neural network models of the air conditioning system. According to the sampling data and the neural network model, the frequency of the compressor of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit are controlled.

Description

Technical Field

[0001] This invention relates to the field of air conditioning technology, and in particular to an air conditioning system and a control method for the air conditioning system. Background Technology

[0002] With the continuous improvement of living standards, air conditioning systems are being used more and more widely, and people are choosing to use multi-split air conditioning systems in various scenarios.

[0003] In multi-split air conditioning systems, regardless of the working environment in which the outdoor unit is installed, or the required ratio of indoor units, the outdoor unit is started and controlled according to a fixed start-up and normal control logic. That is, during the start-up and control phases, the compressor frequency and the expansion valve opening of the indoor unit remain unchanged.

[0004] When the demand load of the room where the indoor unit of the air conditioner is located is low, but the output capacity of the outdoor unit is too high, condensation will occur at the air outlet of the indoor unit, failing to meet the user's comfort requirements. Conversely, when the demand load of the room where the indoor unit is located is high, but the output capacity of the outdoor unit is too low, it will also result in a poor user experience. Summary of the Invention

[0005] The embodiments of the present invention provide an air conditioning system and a control method for the air conditioning system, which solves the problem that the outdoor unit of the air conditioner is started and controlled according to a fixed start-up logic and control logic, resulting in a mismatch between the output capacity of the outdoor unit and the room demand load, thus affecting the user experience.

[0006] To achieve the above objectives, the embodiments of the present invention adopt the following technical solutions:

[0007] In a first aspect, this application provides an air conditioning system, including an outdoor unit and an indoor unit. The outdoor unit includes a controller, which further includes a state variable acquisition unit and an indoor / outdoor adjustment device. The state variable acquisition unit is configured to determine the operating stage and working mode at which the outdoor unit has completed startup, and to acquire sampled data of the air conditioning system during the operating stage. The sampled data includes at least one of ambient temperature, the outlet temperature of the indoor unit, indoor temperature, and the number of compressor start-stop cycles. Different operating stages have different time intervals from the completion of the indoor unit's startup. The indoor / outdoor adjustment device is configured to determine, among multiple neural network models of the air conditioning system, the neural network model corresponding to the operating stage and working mode. The indoor / outdoor adjustment device is also configured to control the compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit based on the sampled data and the neural network model corresponding to the operating stage and working mode.

[0008] Therefore, this application determines the operating phase and working mode of the air conditioner outdoor unit after startup and acquires sampling data of the air conditioning system during the operating phase. Based on the sampling data, the operating phase, and the corresponding neural network model, it controls the compressor frequency of the outdoor unit and the opening of the expansion valve of the indoor unit. Compared to existing technologies, where the outdoor unit starts and is controlled according to fixed startup and normal control logic regardless of its installation environment or the required ratio of indoor units, resulting in a mismatch between the outdoor unit's output capacity and the room's load demand, negatively impacting user experience, this application controls the compressor frequency of the outdoor unit and the opening of the expansion valve of the indoor unit during the operating phase after startup, based on sampling data and a neural network model. This ensures that the outdoor unit's output capacity matches the room's load demand, improving user comfort.

[0009] In some embodiments, the state variable acquisition unit is configured to acquire sampling data of the air conditioning system when the operating phase is a first operating phase and the operating mode is heating mode or cooling mode. The sampling data includes first ambient temperature information of the environment where the outdoor unit of the air conditioner is located, first outlet air temperature information of the indoor unit of the air conditioner, and second indoor temperature information of the room where the indoor unit of the air conditioner is located. The state variable acquisition unit is configured to determine a first scene type of the indoor unit based on the first ambient temperature information, the first outlet air temperature information, the second indoor temperature information, and a neural network model corresponding to the operating mode. Each scene type represents the correspondence between the output capacity of the indoor unit of the air conditioner and the demand load of the room where the indoor unit of the air conditioner is located. The state variable acquisition unit is configured to determine first control information corresponding to the first scene type based on the first scene type. The first control information includes a first compressor frequency of the outdoor unit of the air conditioner, a first expansion valve opening degree of the indoor unit of the air conditioner, and a first adjustment time. The indoor / outdoor adjustment device is configured to control the compressor frequency of the outdoor unit of the air conditioner and the expansion valve opening degree of the indoor unit of the air conditioner based on the first control information.

[0010] In some embodiments, for multiple scenario types under the first operating phase, the ambient temperature range of the indoor unit is different under different scenario types, and the range of the difference between the air outlet temperature information and the indoor temperature information of the air conditioner indoor unit is different. The multiple scenario types include the first scenario type.

[0011] In some embodiments, the state variable acquisition unit is configured to acquire sampled data of the air conditioning system during a second operating phase after the air conditioning system is started. The sampled data includes second ambient temperature information of the environment where the outdoor unit is located and the number of start-stop cycles of the compressor in the outdoor unit. The second operating phase occurs after the first operating phase. The state variable acquisition unit is configured to determine a second scenario type of the indoor unit based on the second ambient temperature information, the number of compressor start-stop cycles, and a neural network model. Multiple scenario types include the second scenario type. The state variable acquisition unit is configured to determine second control information corresponding to the second scenario type. The second control information includes the second compressor frequency of the outdoor unit, the opening degree of the second expansion valve of the indoor unit, and a second adjustment time. The indoor / outdoor regulating device is configured to control the compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit based on the second control information.

[0012] In some embodiments, for various scenario types in the second operation phase, the ambient temperature range of the indoor unit is different under different scenario types, and the range of the number of times the compressor of the outdoor unit starts and stops is different.

[0013] Secondly, this application provides a control method for an air conditioning system. The method is applied to an air conditioning system including an outdoor unit and an indoor unit. The method includes: determining the operating stage and working mode of the indoor unit after startup; acquiring sampled data of the air conditioning system during the operating stage; wherein the sampled data includes at least one of ambient temperature, outlet temperature, indoor temperature, and compressor start-stop count; and different operating stages have different time intervals from the start-up completion time of the indoor unit. The method also involves determining a neural network model corresponding to the operating stage and working mode from among multiple neural network models of the air conditioning system; and controlling the compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit based on the sampled data and the neural network model corresponding to the operating stage and working mode.

[0014] In some embodiments, determining the operating stage and working mode after the outdoor unit of the air conditioner has started up, and acquiring sampling data of the air conditioning system during the operating stage includes: when the operating stage is a first operating stage and the working mode is heating mode or cooling mode, acquiring sampling data of the air conditioning system, the sampling data including first ambient temperature information of the environment where the outdoor unit of the air conditioner is located, first outlet air temperature information of the indoor unit of the air conditioner, and second indoor temperature information of the room where the indoor unit of the air conditioner is located. Controlling the compressor frequency of the outdoor unit of the air conditioner and the opening degree of the expansion valve of the indoor unit of the air conditioner according to the sampling data and the neural network model includes: determining a first scene type of the indoor unit based on the first ambient temperature information, the first outlet air temperature information, the second indoor temperature information, and the neural network model corresponding to the first operating stage and working mode, where each scene type represents the correspondence between the output capacity of the indoor unit of the air conditioner and the demand load of the room where the indoor unit of the air conditioner is located. Determining first control information corresponding to the first scene type, the first control information including the first compressor frequency of the outdoor unit of the air conditioner, the first expansion valve opening degree of the indoor unit of the air conditioner, and a first adjustment time. Controlling the compressor frequency of the outdoor unit of the air conditioner and the opening degree of the expansion valve of the indoor unit of the air conditioner according to the first control information.

[0015] In some embodiments, the method includes: for multiple scenario types under a first operating phase, the ambient temperature range of the indoor unit of the air conditioner is different under different scenario types, and the range of the difference between the air outlet temperature information and the indoor temperature information of the indoor unit of the air conditioner is different, and the multiple scenario types include the first scenario type.

[0016] In some embodiments, determining the operating stage and working mode after the outdoor unit of the air conditioner has started up, and acquiring sampling data of the air conditioning system during the operating stage, includes: acquiring sampling data of the air conditioning system in a second operating stage after the air conditioning system starts up. The sampling data includes second ambient temperature information of the environment where the outdoor unit of the air conditioner is located and the number of start-stop cycles of the compressor of the outdoor unit of the air conditioner. The second operating stage is after the first operating stage. Controlling the compressor frequency of the outdoor unit of the air conditioner and the opening degree of the expansion valve of the indoor unit of the air conditioner based on the sampling data and a neural network model includes: determining a second scenario type of the indoor unit of the air conditioner based on the second ambient temperature information, the number of start-stop cycles of the compressor, and a neural network model corresponding to the second operating stage. Multiple scenario types include the second scenario type. Determining second control information corresponding to the second scenario type, the second control information includes the second compressor frequency of the outdoor unit of the air conditioner, the second expansion valve opening degree of the indoor unit of the air conditioner, and a second adjustment time. Controlling the compressor frequency of the outdoor unit of the air conditioner and the opening degree of the expansion valve of the indoor unit of the air conditioner based on the second control information.

[0017] In some embodiments, the method includes: for multiple scenario types in the second operation phase, the ambient temperature range of the indoor unit of the air conditioner is different in different scenario types, and the range of the number of times the compressor of the outdoor unit of the air conditioner starts and stops is different. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the structure of an air conditioning system 100;

[0019] Figure 2 This is a schematic diagram of a compressor that frequently starts and stops;

[0020] Figure 3 A schematic diagram illustrating the linkage relationship between a main control program and multiple neural network models provided in this application;

[0021] Figure 4 This is a structural schematic diagram of a split-type household air conditioner 200;

[0022] Figure 5 A flowchart illustrating a control method for an air conditioning system 100 provided in this application;

[0023] Figure 6 A flowchart illustrating a control method for an air conditioning system 100 provided in this application;

[0024] Figure 7 A flowchart illustrating a control method for an air conditioning system 100 provided in this application;

[0025] Figure 8 A schematic diagram illustrating the frequency variation of a compressor during a control phase, provided in this application;

[0026] Figure 9 A flowchart illustrating a control method for an air conditioning system 100 provided in this application;

[0027] Figure 10 This is a structural schematic diagram of an air conditioning system 200 provided in this application. Detailed Implementation

[0028] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0029] In the description of this invention, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, unless otherwise stated, "a plurality of" means two or more.

[0030] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances. Furthermore, when describing pipelines or channels, the terms "connection" and "linking" used in this application have the meaning of establishing electrical conductivity. The specific meaning needs to be understood in conjunction with the context.

[0031] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0032] Figure 1 A schematic diagram of an air conditioning system 100 is shown. The air conditioning system 100 includes an outdoor unit 101 and indoor units 102. Here, n represents the number of indoor units 102. The air conditioning system 100 can be illustrated as, for example, a multi-split central air conditioning system.

[0033] Air conditioning system 100 is typically used in small and medium-sized buildings and some public buildings. One outdoor unit 101 is connected to two or more indoor units 102 via piping. Multi-split air conditioning system 100 uses inverter compressors, multi-stage compressors, unloading compressors, or combinations of multiple compressors to control compressor capacity. An expansion valve or other auxiliary circuits are used to adjust the output capacity of the indoor units 102, which includes both cooling and heating capacity.

[0034] The indoor unit 102 of the air conditioner communicates with the outdoor unit 101 via a communication line. For example, the indoor unit 102 sends a cooling or heating request to the outdoor unit 101. If the outdoor unit 101 receives a cooling request, it implements a cold start scheme. If the outdoor unit 101 receives a heating request, it implements a hot start scheme. It should be noted that the difference between the cold start and hot start schemes implemented by the outdoor unit 101 lies only in the starting frequency of the compressor and the fan speed of the air conditioning system 100. However, after implementing either the cold start or hot start scheme, the control method of the outdoor unit 101 remains fixed; for example, the cooling and heating frequencies of the compressor in the air conditioning system 100 are both fixed values.

[0035] Before leaving the factory, the air conditioning system 100 undergoes standardized design, meaning that the operating parameters calibrated in the laboratory (such as the expansion valve opening of the indoor unit, compressor frequency, and fan speed) achieve ideal performance under standard test conditions. However, once the air conditioning system 100 enters the market, the installation environment and the ratio of outdoor unit 101 to indoor unit 102 differ significantly from the standard test conditions. Furthermore, due to resource constraints, laboratories cannot cover all installation environments outside the factory. In some projects, limitations in the installation environment or insufficient staff experience can lead to non-compliant installations of the air conditioning system 100. Consequently, after the outdoor unit 101 starts up in the actual installation environment, because the compressor's cooling or heating frequency is fixed, if the start-up is too fast, the room where the indoor unit 102 is located will frequently experience overcooling or overheating. If the start-up is too slow, it will fail to meet the room's load requirements. This results in failure to meet user comfort requirements and energy waste.

[0036] Furthermore, taking the cooling function of the indoor unit 102 of the air conditioner as an example, when the demand load of the room where the indoor unit 102 is located is less than the output capacity of the outdoor unit 101, the main method is to stop the compressor output of the outdoor unit 101. The compressor is then restarted when the temperature in the room where the indoor unit 102 is located rises. If the compressor runs continuously, it leads to frequent starts and stops, resulting in significant power consumption. Moreover, frequent starts and stops of the compressor are accompanied by varying degrees of mechanical shock, which also shortens the compressor's lifespan.

[0037] like Figure 2 As shown, Figure 2 A schematic diagram of a compressor that frequently starts and stops is shown.

[0038] The horizontal axis represents time, and the vertical axis represents the compressor frequency.

[0039] In view of this, this application provides a control method for an air conditioning system 100. By embedding multiple neural network models into the main control program of the main control chip of the outdoor unit 101, the air conditioning system 100 can identify the scene type of the room where the indoor unit 102 is located at different operating stages after startup, and thus regulate the air conditioning system 100 according to the identified scene type. Here, the neural network model can be a lightweight neural network model.

[0040] like Figure 3 The diagram shown illustrates the linkage between a main control program and multiple neural network models provided in this application. Here, m represents the number of neural network models, and m is an integer greater than or equal to 1, such as 3; this application does not limit the number of models. Figure 3 It can be seen that the main control program 301 and multiple neural network models 302 run on the main control chip of the outdoor unit 101 of the air conditioner. The multiple neural network models form a neural network model group.

[0041] The main control program 301 is used to send data collected by sensors to multiple neural network models 302. The data collected by the sensors may be, for example, at least one of ambient temperature, air outlet temperature, indoor temperature, and compressor start-stop count.

[0042] Multiple neural network models 302 are used to receive sensor data sent by the main control program 301, determine the scene type of the room where the indoor unit 102 of the air conditioner is located based on the received sensor data, and send the scene type of the room where the indoor unit 102 of the air conditioner is located to the main control program 301. Based on the received scene type, the main control program 301 controls the compressor frequency of the outdoor unit 101 and the opening degree of the expansion valve of the indoor unit 102 of the air conditioner at different operating stages. The method for classifying scene types will be described below.

[0043] In some embodiments, the control method of the air conditioning system 100 can also be applied to split-type household air conditioners. A split-type household air conditioner includes one indoor unit and one outdoor unit. The indoor unit of a split-type air conditioner can be wall-mounted, floor-standing, ceiling-mounted, recessed, or floor-standing; this application does not limit the types. Figure 4 The diagram shown is a structural schematic of a split-type household air conditioner 200. The split-type household air conditioner 200 includes an indoor unit 401 and an outdoor unit 402.

[0044] The indoor unit 401 is installed indoors, and the outdoor unit 402 is installed outdoors. The indoor unit 401 and the outdoor unit 402 are connected by pipes and wires.

[0045] based on Figure 1 and Figure 4 The introduction, with Figure 1 The following explanation uses a multi-split central air conditioning system as an example. Figure 5 The present application provides a flowchart of a control method for an air conditioning system 100, which includes the following steps.

[0046] 501. The outdoor unit 101 of the air conditioner determines the operating stage and working mode after the outdoor unit 101 of the air conditioner has started up, and acquires the sampling data of the air conditioning system 100 during the operating stage. The sampling data includes at least one of the ambient temperature, the air outlet temperature, the indoor temperature and the number of compressor start-stop times. The time interval between different operating stages and the start-up completion time of the indoor unit 102 of the air conditioner is different.

[0047] The operation phase here includes the start-up phase and the control phase after the outdoor unit 101 of the air conditioner has started. The start-up phase can be understood as the outdoor unit 101 executing a cold start or hot start scheme, as described above. During the start-up phase, the compressor in the outdoor unit 101 outputs air at a fixed frequency to meet the user's set temperature. The control phase can be understood as the compressor in the outdoor unit 101 reducing its output frequency to maintain the user's set temperature when the indoor temperature of the room where the indoor unit 102 is located approaches the outlet air temperature of the indoor unit 102. For example, the first 4 minutes after the outdoor unit 101 has started can be understood as the start-up phase, and the first 30 minutes after the outdoor unit 101 has started can be understood as the control phase; this application does not impose any limitations on this.

[0048] The operating modes here include heating mode and cooling mode.

[0049] For example, after the outdoor unit 101 of the air conditioner has started up within 10-20 minutes, the main control chip of the outdoor unit 101 determines whether the outdoor unit 101 is in the start-up phase or the control phase, and whether the outdoor unit 101 is in heating mode or cooling mode. The outdoor unit 101 acquires the ambient temperature collected by its temperature sensor, the outlet temperature and indoor temperature collected by the temperature sensor of the indoor unit 102, and the number of times the compressor in the outdoor unit 101 has started and stopped.

[0050] 502. Among the multiple neural network models 302 of the air conditioning system 100, the outdoor unit 101 of the air conditioner determines the neural network model 302 corresponding to the operating stage and working mode.

[0051] The multiple neural network models here include heating models, cooling models, and start-stop models.

[0052] For example, after the outdoor unit 101 of the air conditioner has started, if the outdoor unit 101 is in the heating mode during the start-up phase, the main control program 302 of the outdoor unit 101 calls the heating model. If the outdoor unit 101 is in the cooling mode during the start-up phase, the main control program 302 of the outdoor unit 101 calls the cooling model. If the outdoor unit 101 is in the control phase, the main control program 302 of the outdoor unit 101 calls the start-stop model.

[0053] 503. The outdoor unit 101 of the air conditioner controls the compressor frequency of the outdoor unit 101 and the opening degree of the expansion valve of the indoor unit 102 of the air conditioner according to the sampled data and the neural network model 302 corresponding to the operating stage and working mode.

[0054] For example, after the outdoor unit 101 of the air conditioner has started up, if the outdoor unit 101 is in the heating mode during the start-up phase, the outdoor unit 101 sends the sampling data of the start-up phase collected by the sensor to the heating model, and controls the compressor frequency of the outdoor unit 101 and the opening degree of the expansion valve of the indoor unit 102. Similarly, the cooling mode and the control mode of the outdoor unit 101 during the start-up phase are similar to the heating mode, and will not be described in detail here.

[0055] Therefore, this application determines the operating phase and working mode of the outdoor unit 101 after startup and acquires sampling data of the air conditioning system 100 during the operating phase. Based on the sampling data, the operating phase, and the corresponding neural network model, it controls the compressor frequency of the outdoor unit 101 and the opening of the expansion valve of the indoor unit 102. Compared to existing technologies, where the outdoor unit 101, regardless of its installation environment or the required ratio of indoor units 102, operates according to a fixed startup and normal control logic, resulting in a mismatch between the output capacity of the outdoor unit 101 and the room's load demand, negatively impacting user experience, this application, based on sampling data and a neural network model, controls the compressor frequency of the outdoor unit 101 and the opening of the expansion valve of the indoor unit 102 during the operating phase after startup, ensuring that the output capacity of the outdoor unit 102 matches the room's load demand and improving user comfort.

[0056] based on Figure 5 In step 501, the outdoor unit 101 of the air conditioner determines the operating stage and working mode after the outdoor unit 101 has started up, and acquires sampling data from the air conditioning system 100 during the operating stage. Based on the sampling data and a neural network model, it controls the compressor frequency of the outdoor unit 101 and the opening degree of the expansion valve of the indoor unit 102. Specifically, this includes the following process: Figure 6 The diagram shown is a flowchart of a control method for an air conditioning system 100 provided in this application. The method includes the following steps.

[0057] 601. During the first operating phase, when the working mode is heating mode or cooling mode, the outdoor unit 101 of the air conditioner acquires sampling data of the air conditioning system. The sampling data includes the first ambient temperature information of the environment where the outdoor unit 101 of the air conditioner is located, the first air outlet temperature information of the indoor unit 102 of the air conditioner, and the second indoor temperature information of the room where the indoor unit 102 of the air conditioner is located.

[0058] The first operational phase here can be understood as the startup phase mentioned above.

[0059] For example, after the outdoor unit 101 of the air conditioner is started, when it is in heating mode or cooling mode during the start-up phase, the outdoor unit 101 of the air conditioner obtains the first ambient temperature information of the environment where the outdoor unit 101 of the air conditioner is located, the first air outlet temperature information of the indoor unit 102 of the air conditioner, and the second indoor temperature information of the room where the indoor unit 102 of the air conditioner is located.

[0060] 602. The outdoor unit 101 of the air conditioner determines the first scenario type of the indoor unit 102 of the air conditioner based on the first ambient temperature information, the first air outlet temperature information, the second indoor temperature information, and the neural network model corresponding to the first operating stage and working mode. Each scenario type among the multiple scenario types is used to represent the correspondence between the output capacity of the indoor unit of the air conditioner and the demand load of the room where the indoor unit of the air conditioner is located.

[0061] As shown above, when the operating mode during the startup phase is heating mode, the corresponding neural network model is a heating model. When the operating mode during the startup phase is cooling mode, the corresponding neural network model is a cooling model.

[0062] After the outdoor unit 101 of the air conditioner is started, the laboratory determines the first scenario type of the indoor unit 102 based on the ambient temperature Ta of the environment where the outdoor unit 101 is located, the indoor temperature Ti of the room where the indoor unit 102 is located, and the air outlet temperature To of the indoor unit 102 within a unit of time. Ta is classified according to standard cooling (35℃) and standard heating (21℃) as the classification conditions.

[0063] The first scenario type corresponding to the cooling mode can be shown in Table 1.

[0064] Table 1

[0065]

[0066] The first scenario type corresponding to the heating mode can be shown in Table 2.

[0067] Table 2

[0068]

[0069]

[0070] As shown in Tables 1 and 2, labels 0, 1, 2, 4, 5, and 6 represent different scenario types under heating or cooling modes. Labels 0 and 4 can be defined as "Excellent," indicating that the output capacity of the indoor unit 102 equals the load demand of the room where it is located. Labels 1 and 5 can be defined as "Good," indicating that the output capacity of the indoor unit 102 is less than the load demand of the room where it is located. Labels 3 and 6 can be defined as "Poor," indicating that the output capacity of the indoor unit 102 is significantly less than the load demand of the room where it is located. Labels 1, 2, 5, and 6 can also be defined as "Non-Excellent."

[0071] It should be noted that this application uses a heating or cooling model to determine within 4 minutes which of the six label types the room where the air conditioner indoor unit 102 is located belongs to during the startup phase. However, without invoking a neural network model, the air conditioner outdoor unit 101 requires at least 8 minutes to determine the label type of the room where the air conditioner indoor unit 102 is located, and can only distinguish between superior and non-superior conditions. In some embodiments, for multiple scenario types under the first operating phase, the ambient temperature range where the air conditioner indoor unit is located differs under different scenario types, and the range of the difference between the air outlet temperature information and the indoor temperature information of the air conditioner indoor unit 102 also differs. These multiple scenario types include the first scenario type.

[0072] In Tables 1 and 2, different labels correspond to different ambient temperature ranges for the indoor unit 102 of the air conditioner, and the range of the difference between the air outlet temperature information and the indoor temperature information of the indoor unit 102 is different.

[0073] For example, the explanation will be given when the outdoor unit 101 of the air conditioner is in heating mode after startup. The outdoor unit 101 acquires the first ambient temperature information of the environment in which the outdoor unit 101 is located, the first air outlet temperature information of the indoor unit 102, and the second indoor temperature information of the room in which the indoor unit 102 is located. The range of ambient temperature information is determined, as well as the range of the difference between the first air outlet temperature information and the second indoor temperature information of the room in which the indoor unit 102 is located. Then, based on the determined range of ambient temperature information, the range of the difference between the first air outlet temperature information and the second indoor temperature information of the room in which the indoor unit 102 is located, and a neural network model, the first scene type of the indoor unit 102 is determined.

[0074] 603. The outdoor unit 101 of the air conditioner determines the first control information corresponding to the first scenario type according to the first scenario type. The first control information includes the first compressor frequency of the outdoor unit, the first expansion valve opening degree of the indoor unit, and the first adjustment time.

[0075] The control information under cooling mode is shown in Table 3.

[0076] Table 3

[0077]

[0078] A can be, for example, 1.5, and this application does not limit it.

[0079] The control information under heating mode is shown in Table 4.

[0080] Table 4

[0081]

[0082] Here, B can be, for example, 3, but this application does not limit it.

[0083] As shown in Tables 3 and 4, when the label is "Excellent," the outdoor unit 101 maintains its previous control unchanged. When the labels are "Good" or "Poor," because the heating demand is greater than the cooling demand, the outdoor unit 101 requires a greater output capacity. Therefore, the control correction of the compressor in the heating mode is greater than that in the cooling mode.

[0084] It should be noted that this application uses a start-stop model to distinguish within 30 minutes which of the six label types the room where the air conditioner indoor unit 102 is located is in during the control phase.

[0085] For example, the outdoor unit 101 of the air conditioner determines the control information based on the scene type of the room where the indoor unit 102 of the air conditioner is located.

[0086] 604. The outdoor unit 101 controls the compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit according to the first control information.

[0087] For example, assume that after the indoor unit 102 of the air conditioner is started, it is in the start-up phase of the heating mode. The indoor unit 102 is labeled 2 in Table 2. According to label 2 in Table 4, the outdoor unit 101 controls the compressor of the outdoor unit 101 to increase the frequency at 3AHz / s, and the opening of the expansion valve of the indoor unit 102 remains unchanged for 10s.

[0088] based on Figure 6 In step 604, to improve the real-time performance of control, after the start-up phase, the outdoor unit 101 of the air conditioner identifies the scenario type of the indoor unit 102 in advance and controls it according to the scenario type, thereby reducing the frequency of compressor start-up and shutdown. This method also includes the following processes: (e.g., ...) Figure 7 The diagram shown is a flowchart of a control method for an air conditioning system 100 provided in this application. The method includes the following steps.

[0089] 701. In the second operating phase after the air conditioning system is started, the outdoor unit 101 of the air conditioner acquires the sampling data of the air conditioning system 100. The sampling data includes the second ambient temperature information of the environment where the outdoor unit 101 of the air conditioner is located and the number of times the compressor of the outdoor unit 101 of the air conditioner starts and stops. The second operating phase is after the first operating phase.

[0090] The second operational phase here can be understood as the control phase described above.

[0091] For example, after the start-up phase, the outdoor unit 101 of the air conditioner obtains the second ambient temperature information of the environment in which the outdoor unit 101 of the air conditioner is located and the number of times the compressor of the outdoor unit 101 of the air conditioner has started and stopped.

[0092] 702. The outdoor unit 101 of the air conditioner determines the second scenario type of the indoor unit 102 of the air conditioner based on the second ambient temperature information, the number of times the compressor starts and stops, and the neural network model corresponding to the second operating stage. Multiple scenario types include the second scenario type.

[0093] The neural network model corresponding to the second running stage here can be understood as the start-stop model described above.

[0094] The second scenario type can be shown in Table 5.

[0095] Table 5

[0096]

[0097]

[0098] In some embodiments, for various scenario types in the second operation phase, the ambient temperature range of the indoor unit of the air conditioner is different under different scenario types, and the range of the number of times the compressor of the outdoor unit 101 of the air conditioner starts and stops is different.

[0099] For example, the control phase of the air conditioner outdoor unit 101 in heating mode after startup will be described. The air conditioner outdoor unit 101 acquires the second ambient temperature information of the environment in which it is located and the number of times the compressor starts and stops. The ambient temperature range in which the second ambient temperature information is located, and the range of the number of times the compressor starts and stops, are determined. Then, based on the determined ambient temperature range, the range of the number of times the compressor starts and stops, and the neural network model, the second scene type in which the air conditioner indoor unit 102 is located is determined.

[0100] 703. The outdoor unit 101 of the air conditioner determines the second control information corresponding to the second scenario type according to the second scenario type. The second control information includes the second compressor frequency of the outdoor unit, the opening degree of the second expansion valve of the indoor unit, and the second adjustment time.

[0101] The second control information can be shown in Table 6.

[0102] Table 6

[0103]

[0104]

[0105] For example, the outdoor unit 101 of the air conditioner determines the second control information based on the scenario type in which the indoor unit 102 of the air conditioner is located during the control phase.

[0106] 704. The outdoor unit 101 controls the compressor frequency of the outdoor unit 101 and the opening degree of the expansion valve of the indoor unit 102 according to the second control information.

[0107] For example, assume that after the indoor unit 102 of the air conditioner is started, it is in the control stage of the heating mode. The indoor unit 102 is at label 2 in Table 5. According to label 2 in Table 6, the outdoor unit 101 controls the compressor of the outdoor unit 101 to reduce the frequency to 2AHz / s. The determined opening of the expansion valve of the indoor unit 102 remains unchanged for 10 seconds.

[0108] Figure 8 This is a schematic diagram illustrating the frequency change of a compressor during the control phase, as provided in this application.

[0109] The horizontal axis represents time, and the vertical axis represents the compressor frequency.

[0110] The following section will introduce this application in conjunction with specific application scenarios.

[0111] like Figure 9 The diagram shown is a flowchart of a control method for an air conditioning system 100 provided in this application. The method includes the following steps.

[0112] 901. User A sets parameters through the central controller and sends the set parameters to the indoor unit 102 of the air conditioner.

[0113] For example, user A sets the cooling mode and sets the temperature to 20 degrees Celsius.

[0114] 902. The indoor unit 102 of the air conditioner sends a cooling request to the outdoor unit 101 of the air conditioner.

[0115] 903. After the outdoor unit 102 of the air conditioner is started, the compressor frequency of the outdoor unit 102 and the opening degree of the expansion valve of the indoor unit 101 of the air conditioner are controlled according to the refrigeration model.

[0116] The method for controlling the compressor frequency of the outdoor unit 102 and the opening degree of the expansion valve of the indoor unit 101 based on the refrigeration model has been described above and will not be repeated here.

[0117] 904. The outdoor unit 102 controls the compressor frequency of the outdoor unit 101 and the opening degree of the expansion valve of the indoor unit 102 according to the start-stop model.

[0118] The method for controlling the compressor frequency of the outdoor unit 101 and the opening degree of the expansion valve of the indoor unit 102 based on the start-stop model has been described above and will not be repeated here.

[0119] Based on the above description of the control method for air conditioning system 100, this application also provides an air conditioning system 200. This air conditioning system 200 can also be the same as air conditioning system 100.

[0120] like Figure 10 The diagram shown is a structural schematic of an air conditioning system 200 provided in this application. The air conditioning system 200 includes a controller, which includes a state variable acquisition unit 1001 and an indoor / outdoor regulating device 1002.

[0121] The state variable acquisition unit 1001 is configured to determine the operating stage and working mode of the air conditioner outdoor unit after startup, and to acquire sampled data of the air conditioning system during the operating stage. The sampled data includes at least one of the following: ambient temperature, air outlet temperature of the air conditioner indoor unit, indoor temperature, and compressor start / stop count. The time interval between different operating stages and the startup completion time of the air conditioner indoor unit is different. The determination unit is also used to determine the neural network model corresponding to the operating stage and working mode among multiple neural network models of the air conditioning system. The indoor / outdoor adjustment device 1002 is configured to control the compressor frequency of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit based on the sampled data and the neural network model corresponding to the operating stage and working mode.

[0122] In some embodiments, the state variable acquisition unit 1001 is configured to acquire sampling data of the air conditioning system when the operating phase is a first operating phase and the working mode is a heating mode or a cooling mode. The sampling data includes first ambient temperature information of the environment where the outdoor unit of the air conditioner is located, first air outlet temperature information of the indoor unit of the air conditioner, and second indoor temperature information of the room where the indoor unit of the air conditioner is located. The state variable acquisition unit 1001 is configured to determine a first scene type of the indoor unit of the air conditioner based on the first ambient temperature information, the first air outlet temperature information, the second indoor temperature information, and a neural network model corresponding to the first operating phase and working mode. Each scene type represents the correspondence between the output capacity of the indoor unit of the air conditioner and the demand load of the room where the indoor unit of the air conditioner is located. The state variable acquisition unit 1001 is configured to determine first control information corresponding to the first scene type based on the first scene type. The first control information includes a first compressor frequency of the outdoor unit of the air conditioner, a first expansion valve opening degree of the indoor unit of the air conditioner, and a first adjustment time. The indoor / outdoor adjustment device 1002 is configured to control the compressor frequency of the outdoor unit of the air conditioner and the expansion valve opening degree of the indoor unit of the air conditioner based on the first control information.

[0123] In some embodiments, for multiple scenario types under the first operating phase, the ambient temperature range of the air conditioner indoor unit is different under different scenario types, and the range of the difference between the air outlet temperature information and the indoor temperature information of the air conditioner indoor unit is different. The multiple scenario types include the first scenario type.

[0124] In some embodiments, the state variable acquisition unit 1001 is configured to acquire sampling data of the air conditioning system during a second operating phase after the air conditioning system is started. The sampling data includes second ambient temperature information of the environment where the outdoor unit of the air conditioner is located and the number of start-stop cycles of the compressor of the outdoor unit. The second operating phase occurs after the first operating phase. The state variable acquisition unit 1001 is configured to determine a second scenario type of the indoor unit of the air conditioner based on the second ambient temperature information, the number of start-stop cycles of the compressor, and a second neural network model corresponding to the second operating phase. Multiple scenario types include the second scenario type. The state variable acquisition unit 1001 is configured to determine second control information corresponding to the second scenario type based on the second scenario type. The second control information includes the second compressor frequency of the outdoor unit, the opening degree of the second expansion valve of the indoor unit, and a second adjustment time. A control unit is configured to control the compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit based on the second control information.

[0125] In some embodiments, for various scenario types in the second operation phase, the ambient temperature range of the indoor unit of the air conditioner is different under different scenario types, and the range of the number of times the compressor of the outdoor unit of the air conditioner starts and stops is different.

[0126] Therefore, this application determines the operating phase and working mode of the outdoor unit 101 after startup and acquires sampling data of the air conditioning system 100 during the operating phase. Based on the sampling data, the operating phase, and the corresponding neural network model, it controls the compressor frequency of the outdoor unit 101 and the opening of the expansion valve of the indoor unit 102. Compared to existing technologies, where the outdoor unit 101, regardless of its installation environment or the required ratio of indoor units 102, operates according to a fixed startup and normal control logic, resulting in a mismatch between the output capacity of the outdoor unit 101 and the room's load demand, negatively impacting user experience, this application, based on sampling data and a neural network model, controls the compressor frequency of the outdoor unit 101 and the opening of the expansion valve of the indoor unit 102 during the operating phase after startup, ensuring that the output capacity of the outdoor unit 102 matches the room's load demand and improving user comfort.

[0127] Although this application has been described herein in conjunction with various embodiments, those skilled in the art, by reviewing the accompanying drawings, the disclosure, and the appended claims, will understand and implement other variations of the disclosed embodiments in carrying out the claimed application. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude multiple instances. A single processor or other unit can implement several functions listed in the claims. While different dependent claims may recite certain measures, this does not mean that these measures cannot be combined to produce good results.

[0128] Although this application has been described in conjunction with specific features and embodiments, it is obvious that various modifications and combinations can be made thereto without departing from the spirit and scope of this application. Accordingly, this specification and drawings are merely exemplary illustrations of this application as defined by the appended claims, and are considered to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Clearly, those skilled in the art can make various alterations and modifications to this application without departing from the spirit and scope of this application. Thus, if such modifications and modifications of this application fall within the scope of the claims of this application and their equivalents, this application is also intended to include such modifications and modifications.

[0129] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. An air conditioning system, characterized in that, include: Air conditioner outdoor unit; Air conditioner indoor unit; The outdoor unit of the air conditioner includes a controller, which is configured to: Determine the operating stage and working mode of the outdoor unit of the air conditioner after it has started up. The time interval between different operating stages and the moment when the indoor unit of the air conditioner has finished starting up is different. When the operation phase is the first operation phase and the working mode is heating mode or cooling mode, the sampling data of the air conditioning system is acquired. The sampling data includes the first ambient temperature information of the environment where the outdoor unit of the air conditioner is located, the first air outlet temperature information of the indoor unit of the air conditioner, and the second indoor temperature information of the room where the indoor unit of the air conditioner is located. Based on the first ambient temperature information, the first air outlet temperature information, the second indoor temperature information, and the neural network model corresponding to the first operating stage and the working mode, the first scene type of the air conditioner indoor unit is determined. Each scene type among the multiple scene types is used to represent the correspondence between the output capacity of the air conditioner indoor unit and the demand load of the room where the air conditioner indoor unit is located. Based on the first scenario type, first control information corresponding to the first scenario type is determined. The first control information includes the first compressor frequency of the outdoor unit of the air conditioner, the first expansion valve opening degree of the indoor unit of the air conditioner, and the first adjustment time. The compressor frequency of the outdoor unit of the air conditioner and the opening degree of the expansion valve of the indoor unit of the air conditioner are controlled according to the first control information. The controller is also configured to: In the second operating phase after the air conditioning system is started, sampling data of the air conditioning system is acquired. The sampling data includes the second ambient temperature information of the environment where the outdoor unit of the air conditioner is located and the number of times the compressor of the outdoor unit of the air conditioner starts and stops. The second operating phase is after the first operating phase. Based on the second ambient temperature information, the number of times the compressor starts and stops, and the neural network model corresponding to the second operating stage, the second scenario type of the air conditioner indoor unit is determined, and the multiple scenario types include the second scenario type; Based on the second scenario type, a second control information corresponding to the second scenario type is determined. The second control information includes the second compressor frequency of the outdoor unit of the air conditioner, the opening degree of the second expansion valve of the indoor unit of the air conditioner, and the second adjustment time. The compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit of the air conditioner are controlled according to the second control information.

2. The air conditioning system according to claim 1, characterized in that, For the various scenario types under the first operating phase, the ambient temperature range of the indoor unit of the air conditioner is different under different scenario types, and the range of the difference between the air outlet temperature information and the indoor temperature information of the indoor unit of the air conditioner is different. The various scenario types include the first scenario type.

3. The air conditioning system according to claim 1, characterized in that, For the various scenario types in the second operating phase, the ambient temperature range of the indoor unit of the air conditioner is different under different scenario types, and the range of the number of times the compressor of the outdoor unit of the air conditioner starts and stops is different.

4. A control method for an air conditioning system, characterized in that, The method is applied to an air conditioning system, the air conditioning system including an outdoor unit and an indoor unit, and the method includes: The operating phase and working mode of the outdoor unit of the air conditioner after startup are determined, and sampling data of the air conditioning system are acquired during the operating phase. The sampling data includes at least one of ambient temperature, air outlet temperature, indoor temperature and compressor start-stop count. The time interval between different operating phases and the start-up completion time of the indoor unit of the air conditioner is different. Determine the neural network model corresponding to the operating phase and the working mode among the multiple neural network models of the air conditioning system; The compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit of the air conditioner are controlled based on the sampled data and the neural network model corresponding to the operating stage and the working mode. Determining the operating phase and working mode of the air conditioner outdoor unit after startup, and acquiring sampling data of the air conditioning system during the operating phase includes: When the operation phase is the first operation phase and the working mode is heating mode or cooling mode, sampling data of the air conditioning system is acquired. The sampling data includes the first ambient temperature information of the environment where the outdoor unit of the air conditioner is located, the first air outlet temperature information of the indoor unit of the air conditioner, and the second indoor temperature information of the room where the indoor unit of the air conditioner is located. The step of controlling the compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit of the air conditioner based on the sampled data and the neural network model includes: Based on the first ambient temperature information, the first air outlet temperature information, the second indoor temperature information, and the neural network model corresponding to the first operating stage and the working mode, the first scene type of the air conditioner indoor unit is determined. Each scene type among the multiple scene types is used to represent the correspondence between the output capacity of the air conditioner indoor unit and the demand load of the room where the air conditioner indoor unit is located. Based on the first scenario type, first control information corresponding to the first scenario type is determined. The first control information includes the first compressor frequency of the outdoor unit of the air conditioner, the first expansion valve opening degree of the indoor unit of the air conditioner, and the first adjustment time. The compressor frequency of the outdoor unit of the air conditioner and the opening degree of the expansion valve of the indoor unit of the air conditioner are controlled according to the first control information. Determining the operating phase and working mode of the air conditioner outdoor unit after startup, and acquiring sampling data of the air conditioning system during the operating phase includes: In the second operating phase after the air conditioning system is started, sampling data of the air conditioning system is acquired. The sampling data includes the second ambient temperature information of the environment where the outdoor unit of the air conditioner is located and the number of times the compressor of the outdoor unit of the air conditioner starts and stops. The second operating phase is after the first operating phase. The step of controlling the compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit of the air conditioner based on the sampled data and the neural network model includes: Based on the second ambient temperature information, the number of times the compressor starts and stops, and the neural network model corresponding to the second operating stage, the second scenario type of the air conditioner indoor unit is determined, and the multiple scenario types include the second scenario type; Based on the second scenario type, a second control information corresponding to the second scenario type is determined. The second control information includes the second compressor frequency of the outdoor unit of the air conditioner, the opening degree of the second expansion valve of the indoor unit of the air conditioner, and the second adjustment time. The compressor frequency of the outdoor unit and the opening degree of the expansion valve of the indoor unit of the air conditioner are controlled according to the second control information.

5. The method according to claim 4, characterized in that, The method includes: For the various scenario types under the first operating phase, the ambient temperature range of the indoor unit of the air conditioner is different under different scenario types, and the range of the difference between the air outlet temperature information and the indoor temperature information of the indoor unit of the air conditioner is different. The various scenario types include the first scenario type.

6. The method according to claim 4, characterized in that, The method includes: For the various scenario types in the second operating phase, the ambient temperature range of the indoor unit of the air conditioner is different under different scenario types, and the range of the number of times the compressor of the outdoor unit of the air conditioner starts and stops is different.

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