A multi-split air conditioning system and its control method

Abstract

This application provides a multi-split air conditioning system and control method, relating to the field of air conditioning technology, for improving the accuracy of fault identification in multi-split air conditioning systems. The air conditioning system includes: an outdoor unit; multiple indoor units; liquid pipes and gas pipes; a refrigerant circulation loop; a compressor; and a controller configured to: when a fault is determined to have occurred in the multi-split air conditioning system, input the characteristic data of the multi-split air conditioning system into multiple fault identification models based on support vector machines to obtain multiple fault identification results. Each fault identification model identifies a fault type, and the output of each model indicates the probability of the multi-split air conditioning system experiencing the fault type corresponding to that model. The characteristic data of the multi-split air conditioning system is obtained by performing correlation analysis on the operating data of the multi-split air conditioning system. The fault type corresponding to the fault identification result with the highest probability among the multiple fault identification results is taken as the target fault type of the multi-split air conditioning system.

Description

Technical Field

[0001] This application relates to the field of air conditioning technology, and in particular to a multi-split air conditioning system and control method. Background Technology

[0002] With economic and social development, air conditioning is becoming increasingly widely used in various places such as entertainment, homes, and workplaces. When multiple small areas in the same region need to use air conditioning, in order to save energy, a multi-split air conditioning system consisting of one outdoor unit and multiple indoor units is often used to regulate the room temperature in multiple areas.

[0003] However, malfunctions in multi-split air conditioning systems are inevitable after prolonged operation. Some of these malfunctions are due to gradual decline in the system's performance, such as heat exchanger scaling, refrigerant leaks, and compressor wear. These malfunctions often manifest as component aging or wear, making them difficult to detect. Furthermore, different malfunctions may present similar problems, hindering accurate identification of the multi-split air conditioning system's faults. Summary of the Invention

[0004] This application provides a multi-split air conditioning system and control method to improve the accuracy of fault identification in multi-split air conditioning systems.

[0005] In a first aspect, embodiments of this application provide a multi-split air conditioning system, including:

[0006] The refrigerant circulation loop circulates the refrigerant through the compressor, condenser, expansion valve, and evaporator;

[0007] A controller that controls at least the compressor and the expansion valve;

[0008] One of the condensers and evaporators is an outdoor heat exchanger, and the other is an indoor heat exchanger;

[0009] The outdoor unit, which includes a compressor and an outdoor heat exchanger;

[0010] Multiple indoor units, each including an indoor heat exchanger;

[0011] Liquid and gas pipes are used to connect the outdoor unit and the indoor unit;

[0012] The controller is configured as follows:

[0013] When a fault is determined in a multi-split air conditioning system, the characteristic data of the multi-split air conditioning system is input into multiple fault identification models based on support vector machine (SVM) to obtain multiple fault identification results. Among them, one fault identification model is used to identify a fault type, and the fault identification result output by the fault identification model is used to indicate the probability of the multi-split air conditioning system experiencing the fault type corresponding to that fault identification model. The characteristic data of the multi-split air conditioning system is obtained after performing correlation analysis on the operating data of the multi-split air conditioning system.

[0014] The fault type corresponding to the fault identification result with the highest probability among multiple fault identification results is taken as the target fault type of the multi-split air conditioning system.

[0015] The technical solution of this application embodiment brings at least the following beneficial effects: Addressing the problem of low fault identification accuracy in current multi-split air conditioning systems, the multi-split air conditioning system provided in this application embodiment, after determining that a fault has occurred in the multi-split air conditioning system, inputs the characteristic data of the multi-split air conditioning system into multiple fault identification models to obtain multiple identification results. Since the characteristic data of the multi-split air conditioning system is obtained after correlation analysis based on the operating data of the multi-split air conditioning system, the influence of irrelevant data in the operating data on the accuracy of fault identification is eliminated. Fault identification based on the characteristic data of the multi-split air conditioning system helps improve the accuracy of fault identification in the multi-split air conditioning system. Furthermore, the fault type corresponding to the fault identification result with the highest probability among the multiple fault identification results is taken as the target fault type of the multi-split air conditioning system, further improving the accuracy of fault identification in the multi-split air conditioning system.

[0016] In some embodiments, after the controller is configured to take the fault type corresponding to the fault identification result with the highest probability among multiple fault identification results as the target fault type of the multi-split air conditioning system, it is further configured to: input the feature data of the multi-split air conditioning system into the fault level identification model corresponding to the target fault type to obtain the fault level identification result; when the fault level indicated by the fault level identification result is above the preset fault level, issue an alarm message, the alarm message including the target fault type, and the alarm message is used to prompt the multi-split air conditioning system to be inspected.

[0017] In some embodiments, the controller is further configured to: acquire operating data of the multi-split air conditioning system before determining that a fault has occurred in the multi-split air conditioning system; perform correlation analysis on the operating data of the multi-split air conditioning system based on the maximum information coefficient method, and extract feature data of the multi-split air conditioning system from the operating data of the multi-split air conditioning system; and determine whether a fault has occurred in the multi-split air conditioning system based on the feature data of the multi-split air conditioning system.

[0018] In some embodiments, when the controller is configured to determine whether a multi-split air conditioning system has malfunctioned based on the characteristic data of the multi-split air conditioning system, it is specifically configured to: input the characteristic data of the multi-split air conditioning system into a fault diagnosis model to obtain a fault diagnosis result, the fault diagnosis result indicating whether a multi-split air conditioning system has malfunctioned; and if the fault diagnosis result is yes, determine that a multi-split air conditioning system has malfunctioned.

[0019] In some embodiments, when the controller is configured to acquire the operating data of the multi-split air conditioning system, it is specifically configured to: acquire the raw operating data of the multi-split air conditioning system; preprocess the raw operating data of the multi-split air conditioning system to obtain the operating data of the multi-split air conditioning system, wherein the preprocessing includes outlier removal and smoothing.

[0020] In some embodiments, the feature data includes at least one of the following: compressor operating frequency, compressor discharge pressure, compressor suction pressure, compressor suction temperature, compressor discharge temperature, compressor discharge superheat, compressor suction superheat, outdoor fan speed, expansion valve opening, air outlet temperature of each indoor unit, air return temperature of each indoor unit, gas pipe temperature, and liquid pipe temperature.

[0021] Secondly, embodiments of this application provide a control method for a multi-split air conditioning system. The method includes: when a fault is determined to have occurred in the multi-split air conditioning system, inputting the feature data of the multi-split air conditioning system into multiple fault identification models based on support vector machines to obtain multiple fault identification results. Each fault identification model is used to identify a fault type, and the fault identification result output by one fault identification model indicates the probability of the multi-split air conditioning system experiencing the fault type corresponding to that model. The feature data of the multi-split air conditioning system is obtained after performing correlation analysis on the operating data of the multi-split air conditioning system. The fault type corresponding to the fault identification result with the highest probability among the multiple fault identification results is taken as the target fault type of the multi-split air conditioning system.

[0022] Thirdly, embodiments of this application provide a controller, including: one or more processors; one or more memories; wherein the one or more memories are used to store computer program code, the computer program code including computer instructions, and when the one or more processors execute the computer instructions, the controller executes any of the control methods for multi-split air conditioning systems provided in the second aspect.

[0023] Fourthly, embodiments of this application provide a computer-readable storage medium including computer instructions that, when executed on a computer, cause the computer to perform any of the control methods for a multi-split air conditioning system provided in the second aspect.

[0024] Fifthly, embodiments of this application provide a computer program product that can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program product can realize any of the control methods for multi-split air conditioning systems provided in the second aspect.

[0025] It should be noted that the aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the controller's processor, or it may be packaged separately from the controller's processor; this application does not impose any limitations on this.

[0026] The beneficial effects described in aspects two through five of this application can be referred to the analysis of the beneficial effects of aspect one, and will not be repeated here. Attached Figure Description

[0027] The accompanying drawings are used to provide a further understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0028] Figure 1 This application provides a schematic diagram of the structure of a multi-split air conditioning system as an embodiment of the present application.

[0029] Figure 2 A hardware configuration block diagram of a multi-split air conditioning system provided in this application embodiment;

[0030] Figure 3 A schematic diagram illustrating the interaction between the controller and terminal equipment of a multi-split air conditioning system provided in this application embodiment;

[0031] Figure 4 This is a schematic diagram of the structure of a controller provided in an embodiment of this application;

[0032] Figure 5 A flowchart illustrating a control method for a multi-split air conditioning system provided in an embodiment of this application;

[0033] Figure 6 A flowchart illustrating another control method for a multi-split air conditioning system provided in this application embodiment;

[0034] Figure 7 A schematic diagram illustrating the impact of fault levels on a multi-split air conditioning system, provided as an embodiment of this application;

[0035] Figure 8 A schematic diagram of a fault level early warning system for a multi-split air conditioning system provided in this application embodiment;

[0036] Figure 9A flowchart illustrating another control method for a multi-split air conditioning system provided in this application embodiment;

[0037] Figure 10 A flowchart illustrating another control method for a multi-split air conditioning system provided in this application embodiment;

[0038] Figure 11 A flowchart illustrating another control method for a multi-split air conditioning system provided in this application embodiment;

[0039] Figure 12 This application provides an overall flowchart of a control method for a multi-split air conditioning system.

[0040] Figure 13 This is a schematic diagram of the hardware structure of a controller provided in an embodiment of this application. Detailed Implementation

[0041] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0042] It should be noted that all directional indicators (such as up, down, left, right, front, back, etc.) in the embodiments of this application are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicator will also change accordingly.

[0043] 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 technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.

[0044] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "connected" and "linked" should be interpreted broadly, for example, as a fixed connection, a detachable connection, or an integral connection. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances. Furthermore, when describing pipelines, the terms "connected" and "linked" as used in this application have the meaning of establishing electrical connection. The specific meaning needs to be understood in conjunction with the context.

[0045] 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.

[0046] To facilitate understanding, we will first provide a brief introduction and explanation of some terms or basic concepts of technology involved in the embodiments of this application.

[0047] Refrigerant: A substance that easily absorbs heat and turns into a gas, and easily releases heat and turns into a liquid. In air conditioning systems, heat energy is transferred through the evaporation and condensation of the refrigerant to produce a cooling effect.

[0048] Expansion valve: Composed of a valve body and a coil, it is used for throttling and pressure reduction and for regulating flow. In an air conditioning system, the expansion valve allows medium-temperature, high-pressure liquid refrigerant to be throttled into low-temperature, low-pressure wet vapor. The refrigerant then absorbs heat in the evaporator to achieve a cooling effect, and the valve flow is controlled by the change in superheat at the evaporator outlet.

[0049] Currently, when a fault occurs in a multi-split air conditioning system, it can be diagnosed that the fault has occurred. However, different faults may present similar problems, making it difficult to accurately identify what exactly is wrong with the multi-split air conditioning system. This requires manual troubleshooting and analysis by staff, resulting in a low accuracy rate for fault identification in multi-split air conditioning systems.

[0050] The technical solution of this application embodiment brings at least the following beneficial effects: Addressing the problem of low fault identification accuracy in current multi-split air conditioning systems, the multi-split air conditioning system provided in this application embodiment, after determining that a fault has occurred in the multi-split air conditioning system, inputs the characteristic data of the multi-split air conditioning system into multiple fault identification models to obtain multiple fault identification results. Since the characteristic data of the multi-split air conditioning system is obtained after correlation analysis based on the operating data of the multi-split air conditioning system, the influence of irrelevant data in the operating data on the accuracy of fault identification is eliminated, which helps to improve the accuracy of fault identification in the multi-split air conditioning system. Furthermore, the fault type corresponding to the fault identification result with the highest probability among the multiple fault identification results is taken as the target fault type of the multi-split air conditioning system, thereby improving the accuracy of fault identification in the multi-split air conditioning system.

[0051] The following description, in conjunction with the accompanying drawings, illustrates a multi-split air conditioning system provided in an embodiment of this application.

[0052] Figure 1 This is a schematic diagram of the structure of a multi-split air conditioning system provided in accordance with an exemplary embodiment of this application, such as... Figure 1The multi-split air conditioning system 10 shown includes a throttling device 11, an indoor unit 12, and an outdoor unit 13.

[0053] The throttling device 11 includes multiple expansion valves 111, each corresponding to an indoor unit 12. There are pipe connections between the outdoor unit 13 and the multiple indoor units 12, and an expansion valve 111 is installed on the pipe between each indoor unit 12 and the outdoor unit 13.

[0054] In some embodiments, the pipes connecting the outdoor unit and multiple indoor units include: a gas pipe 14 (not shown) for conveying gaseous refrigerant and a liquid pipe 15 (not shown) for conveying liquid refrigerant.

[0055] In some embodiments, the expansion valve 111 has the function of expanding and depressurizing the refrigerant flowing through it, and can be used to regulate the refrigerant supply in the pipeline. If the opening of the expansion valve 111 decreases, the flow resistance of the refrigerant through the expansion valve 111 increases. If the opening of the expansion valve 111 increases, the flow resistance of the refrigerant through the expansion valve 111 decreases. Thus, even if the states of other devices in the circuit do not change, the refrigerant flow rate to the indoor unit 12 will change when the opening of the expansion valve 111 changes.

[0056] In some embodiments, expansion valve 111 may be an electronic expansion valve.

[0057] Indoor unit 12, taking an indoor wall-mounted unit as an example, is typically installed on an indoor wall. Similarly, a floor-standing indoor unit is also a type of indoor unit.

[0058] In some embodiments, the indoor unit 12 includes an indoor heat exchanger 121.

[0059] In some embodiments, the indoor heat exchanger 121 has a first inlet for allowing liquid refrigerant to flow between an expansion valve 111 and a second inlet for allowing gaseous refrigerant to flow between an outlet of the compressor 131 and a discharge port. The indoor heat exchanger 121 facilitates heat exchange between the refrigerant flowing in a heat transfer tube connected between the first and second inlets and indoor air.

[0060] Outdoor unit 13 is usually installed outdoors and is used for heat exchange with the outdoor environment.

[0061] In some embodiments, the outdoor unit 13 includes: a compressor 131, an outdoor heat exchanger 132, a liquid receiver 133, a four-way valve 134, and an outdoor fan 135.

[0062] In some embodiments, compressor 131, disposed between throttling device 11 and receiver 133, is used to compress low-temperature, low-pressure refrigerant gas into high-temperature, high-pressure refrigerant gas and discharge it to condenser. Compressor 131 may be a variable-capacity inverter compressor that performs inverter-based speed control.

[0063] In some embodiments, one end of the outdoor heat exchanger 132 is connected to the receiver 133 via a four-way valve 134, and the other end is connected to the throttling device 11. The outdoor heat exchanger 132 has a third inlet / outlet for allowing refrigerant to flow through the receiver 133 between the outdoor heat exchanger 132 and the suction inlet of the compressor 131, and a fourth inlet / outlet for allowing refrigerant to flow between the outdoor heat exchanger 132 and the throttling device 11. The outdoor heat exchanger 132 facilitates heat exchange between the refrigerant flowing in the heat transfer tubes connected between the third and fourth inlets / outlets and the outdoor air. In the refrigeration cycle, the outdoor heat exchanger 132 functions as a condenser.

[0064] In some embodiments, one end of the receiver 133 is connected to the compressor 131, and the other end is connected to the outdoor heat exchanger 132 via a four-way valve 134. In the receiver 133, the refrigerant flowing from the outdoor heat exchanger 132 to the compressor 131 via the four-way valve 134 is separated into gaseous refrigerant and liquid refrigerant. Furthermore, gaseous refrigerant is primarily supplied from the receiver 133 to the suction port of the compressor 131.

[0065] In some embodiments, the four ports of the four-way valve 134 are respectively connected to the compressor 131, the outdoor heat exchanger 132, the liquid receiver 133, and a plurality of expansion valves 111. The four-way valve 134 is used to achieve mutual conversion between cooling and heating by changing the flow direction of the refrigerant in the system pipeline.

[0066] In some embodiments, the outdoor fan 135 generates an airflow of outdoor air through the outdoor heat exchanger 132 to facilitate heat exchange between the refrigerant flowing in the heat transfer tube between the third inlet and the fourth inlet and the outdoor air.

[0067] In some embodiments, the refrigerant circulation loop of the multi-split air conditioning system allows the refrigerant to circulate within a loop consisting of the compressor 131, condenser, evaporator, and expansion valve 111. Taking the multi-split air conditioning system in heating mode as an example, the refrigerant circulation process in the system includes: the compressor 131 draws low-temperature, low-pressure gaseous refrigerant, after it has been evaporated in the evaporator, into the compressor chamber, compresses it into high-temperature, high-pressure gaseous refrigerant, and then it enters the condenser. The high-temperature, high-pressure gaseous refrigerant condenses into high-temperature, high-pressure liquid refrigerant in the condenser, then passes through the throttling device 11 (such as the expansion valve 111), becoming a low-temperature, low-pressure liquid refrigerant, which then enters the evaporator for evaporation, and finally returns to the compressor 131, thus completing the entire heating cycle. In heating mode, the outdoor heat exchanger 132 functions as an evaporator, and the indoor heat exchanger 121 functions as a condenser. In cooling mode, the outdoor heat exchanger 132 functions as a condenser, and the indoor heat exchanger 121 functions as an evaporator.

[0068] Figure 2 This is a hardware configuration block diagram of a multi-split air conditioning system provided in this application according to an exemplary embodiment. Figure 2 As shown, the multi-split air conditioning system 10 also includes one or more of the following: a plurality of first temperature sensors 101, a plurality of second temperature sensors 102, a third temperature sensor 103 and a fourth temperature sensor 104, a fifth temperature sensor 105, a sixth temperature sensor 106, a first pressure sensor 107 and a second pressure sensor 108, and a controller 50.

[0069] In addition, multiple indoor units 12, outdoor units 13, compressors 131, multiple first temperature sensors 101, multiple second temperature sensors 102, multiple third temperature sensors 103, multiple fourth temperature sensors 104, fifth temperature sensors 105, sixth temperature sensors 106, first pressure sensors 107, and second pressure sensors 108 are all connected to the controller 50.

[0070] In some embodiments, for any one of the plurality of first temperature sensors 101, the first temperature sensor 101 can be disposed on the air duct 14 to detect the temperature value of the air duct 14 and send the detected temperature value of the air duct 14 to the controller 50. In some embodiments, one first temperature sensor 101 can be disposed on the air duct 14 between each indoor unit 12 and the outdoor unit 13, so that each of the plurality of first temperature sensors 101 can send the temperature value of the air duct 14 detected by itself to the controller 50.

[0071] In some embodiments, any one of the plurality of second temperature sensors 102 may be disposed on the liquid pipe 15 to detect the temperature value of the liquid pipe 15 and send the detected temperature value of the liquid pipe 15 to the controller 50. In some embodiments, one second temperature sensor 102 may be disposed on the liquid pipe 15 between each indoor unit 12 and the outdoor unit 13, so that each of the plurality of second temperature sensors 102 may send the temperature value of the liquid pipe 15 detected by itself to the controller 50. In some embodiments, a plurality of third temperature sensors 103 are connected to the controller 50. Any one of the plurality of third temperature sensors 103 may be disposed at the air outlet of the indoor unit to detect the air outlet temperature of the indoor unit and send it to the controller 50.

[0072] The fourth temperature sensor 104, and multiple fourth temperature sensors 104 are all connected to the controller 50. For any one of the multiple fourth temperature sensors 104, the fourth temperature sensor can be set at the air inlet of the indoor unit to detect the return air temperature of the indoor unit and send it to the controller 50.

[0073] The fifth temperature sensor 105 is located at the compressor's suction port and is used to detect the compressor's suction temperature value and send the detected suction temperature value to the controller 50.

[0074] The sixth temperature sensor 106 is located at the compressor's exhaust port and is used to detect the compressor's exhaust temperature value and send the detected exhaust temperature value to the controller 50.

[0075] The first pressure sensor 107 is located at the exhaust port of the compressor and is used to detect the exhaust pressure value of the compressor and send the detected exhaust pressure value to the controller 50.

[0076] The second pressure sensor 108 is located at the compressor's suction port and is used to detect the compressor's suction pressure value and send the detected suction pressure value to the controller 50.

[0077] In some embodiments, the controller 50 can be used to control the operation of the compressor 131 and the expansion valve 111 so that the multi-split air conditioning system 10 can operate to achieve the predetermined functions of the multi-split air conditioning system.

[0078] In some embodiments, the controller 50 can obtain the operating frequency and operating current value of the compressor 131 at each moment.

[0079] In the embodiments shown in this application, controller 50 refers to a device that can generate operation control signals according to instruction opcodes and timing signals, instructing the multi-split air conditioning system to execute control commands. Exemplarily, the controller can be a central processing unit (CPU), a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. The controller can also be other devices with processing functions, such as circuits, devices, or software modules; this application does not impose any limitations on these aspects.

[0080] In some embodiments, the multi-split air conditioning system 10 is also equipped with a remote control, which has the function of communicating with the controller 50, for example, using infrared or other communication methods. The remote control is used by the user to perform various controls on the multi-split air conditioning system, realizing interaction between the user and the multi-split air conditioning system 10.

[0081] In some embodiments, the multi-split air conditioning system 10 also includes a communicator connected to the controller 50 for establishing communication connections with other network entities. For example, an RF module can be used for signal reception and transmission; specifically, it can send received information to the controller 50 for processing and also transmit signals generated by the controller. Typically, the RF circuit may include, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low-noise amplifier (LNA), a duplexer, etc.

[0082] For example, the multi-split air conditioning system 10 can receive control commands sent by terminal devices through a communicator, and perform corresponding processing according to the control commands to realize interaction between the user and the multi-split air conditioning system 10.

[0083] Figure 3 This is a schematic diagram illustrating the interaction between the controller 50 and the terminal device 300 of a multi-split air conditioning system provided in this application according to an exemplary embodiment.

[0084] like Figure 3As shown, the terminal device 300 can establish a communication connection with the controller 50 of the air conditioning system. Exemplarily, any known network communication protocol can be used to establish the communication connection. The aforementioned network communication protocol can be various wired or wireless communication protocols, such as Ethernet, Universal Serial Bus (USB), FireWire, any cellular network communication protocol (such as 3G / 4G / 5G), Bluetooth, Wireless Fidelity (Wi-Fi), NFC, or any other suitable communication protocol. The aforementioned communication connection can be a Bluetooth connection, NFC, Zigbee, Wireless Fidelity (Wi-Fi), etc. This application embodiment does not impose specific limitations in this regard.

[0085] It should be noted that, Figure 3 The terminal device 300 shown is merely an example of a terminal device. The terminal device 300 in this application can be a remote control, mobile phone, tablet computer, personal computer (PC), personal digital assistant (PDA), smartwatch, netbook, wearable electronic device, augmented reality (AR) device, virtual reality (VR) device, robot, etc. This application does not impose any special restrictions on the specific form of the terminal device.

[0086] Figure 4 This is a schematic diagram of the structure of a controller provided in an embodiment of this application. Figure 4 As shown, the controller 50 includes an outdoor control module 501 and an indoor control module 502. The outdoor control module 501 includes a first memory 5011, and the indoor control module 502 includes a second memory 5021. The indoor control module 502 is connected to the outdoor control module 501 via wired or wireless communication. The outdoor control module 501 can be installed in the outdoor unit 13 or independently of the outdoor unit 13, and is used to control the outdoor unit 13 to perform related operations. The indoor control module 502 can be installed in the indoor unit 12 or independently of the indoor unit 12, and is used to control the components of the indoor unit 12 and the throttling device 11 to perform related operations. It should be understood that the above module division is only functional; the outdoor control module 501 and the indoor control module 502 can also be integrated into one module. The first memory 5011 and the second memory 5021 can also be integrated into one memory.

[0087] In some embodiments, the first memory 5011 is used to store application programs and data related to the outdoor unit 13. The outdoor control module 501 executes various functions and data processing of the multi-split air conditioning system by running the application programs and data stored in the first memory 5011. The first memory 5011 mainly includes a program storage area and a data storage area. The program storage area can store the operating system and application programs required for at least one function (such as the outdoor unit fan on function, outdoor temperature measurement function, etc.). The data storage area can store data created based on the use of the multi-split air conditioning system (such as outdoor temperature, opening degree of each expansion valve, etc.). In addition, the first memory 5011 may include high-speed random access memory and may also include non-volatile memory, such as disk storage devices, flash memory devices, or other volatile solid-state storage devices.

[0088] In some embodiments, the second memory 5021 is used to store application programs and data related to multiple indoor units 12 and multiple expansion valves 111. The indoor control module 502 executes various functions and data processing of the multi-split air conditioning system by running the application programs and data stored in the memory 5021. The second memory 5021 mainly includes a program storage area and a data storage area. The program storage area can store the operating system and application programs required for at least one function (such as indoor temperature measurement function); the data storage area can store data created based on the use of the multi-split air conditioning system (such as indoor temperature). In some examples, the second memory 5021 is also used to store the correspondence between the addresses of the indoor units 12 and the addresses of the expansion valves 111.

[0089] In some embodiments, the outdoor control module 501 has a communication connection with the outdoor unit 13, and is used to control the outdoor unit to perform relevant operations according to user instructions or system default instructions. Optionally, the outdoor control module 501 can control the speed of the outdoor fan according to the air conditioning operating mode selected by the user. Optionally, the outdoor control module 501 can also obtain the outdoor temperature according to user instructions or system instructions, and store the obtained outdoor temperature in the first memory 5011. Optionally, the outdoor control module 501 can also control the rotation of the four-way valve 134 in the outdoor unit 13 according to the air conditioning operating mode selected by the user, so as to realize the selection of cooling or heating mode. Optionally, the outdoor control module 501 can also control the operating mode, compressor frequency, etc. of the outdoor unit 13 during address correction.

[0090] In some embodiments, the indoor control module 502 has a communication connection with the indoor unit 12, and is used to control the indoor unit 12 to perform relevant operations according to user instructions or system default instructions. For example, the indoor control module 502 can also control the indoor unit to turn on the indoor temperature sensor to detect the indoor temperature according to user instructions.

[0091] In some embodiments, the indoor control module 502 has a communication connection with multiple expansion valves 111, and is used to control the multiple expansion valves 111 to perform relevant operations according to user instructions or system default instructions. Optionally, the indoor control module 502 can also control the opening degree of each expansion valve 111 according to user instructions or system instructions.

[0092] Those skilled in the art will understand that Figure 2 The hardware structure shown does not constitute a limitation on the multi-split air conditioning system. The multi-split air conditioning system may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0093] The embodiments provided in this application will now be described in detail with reference to the accompanying drawings.

[0094] like Figure 5 As shown in the figure, this application provides a control method for a multi-split air conditioning system. This method is applied to a controller, which can be the aforementioned... Figure 2 The controller 50 shown herein includes the following steps:

[0095] S101. When it is determined that the multi-split air conditioning system has malfunctioned, the feature data of the multi-split air conditioning system is input into multiple fault identification models based on support vector machines to obtain multiple fault identification results.

[0096] In some embodiments, the memory of the multi-split air conditioning system pre-stores multiple trained fault identification models based on support vector machines. When a fault is determined to have occurred in the multi-split air conditioning system, the controller inputs the feature data of the multi-split air conditioning system into the multiple fault identification models based on support vector machines. The feature data of the multi-split air conditioning system is obtained by performing correlation analysis on the operating data of the multi-split air conditioning system. The feature data is the data related to the fault after removing data irrelevant to the fault from the operating data of the multi-split air conditioning system. It is understood that performing correlation analysis on the operating data of the multi-split air conditioning system and removing data irrelevant to the fault can eliminate the influence of irrelevant data on the accuracy and efficiency of fault identification, thereby improving the accuracy and efficiency of fault identification for the multi-split air conditioning system. The description of how to perform correlation analysis on the operating data of the multi-split air conditioning system to obtain the feature data of the multi-split air conditioning system can be found in the descriptions of steps S301 to S302 below, and will not be repeated here.

[0097] The characteristic data of the multi-split air conditioning system is input into multiple fault identification models. Each fault identification model corresponds to a specific fault type, and the output of each model indicates the probability of the multi-split air conditioning system experiencing the fault type corresponding to that model. In essence, each fault identification model identifies only one fault type, and when performing fault identification on a multi-split air conditioning system, it only identifies the probability of that specific fault type occurring, without being affected by other fault types. By inputting the operating data of the multi-split air conditioning system into multiple support vector machine-based fault identification models, multiple fault identification results are obtained, which represent the probability of the multi-split air conditioning system experiencing the fault type corresponding to each fault identification model.

[0098] For example, the fault types of multi-split air conditioning systems include: abnormal refrigerant charge, outdoor heat exchanger blockage, indoor heat exchanger blockage, compressor wear, and expansion valve failure.

[0099] In some embodiments, the characteristic data of the multi-split air conditioning system includes at least one of the following: compressor operating frequency, compressor discharge pressure, compressor suction pressure, compressor suction temperature, compressor discharge temperature, compressor discharge superheat, compressor suction superheat, outdoor fan speed expansion valve opening, outlet air temperature of each indoor unit, return air temperature of each indoor unit, gas pipe temperature, and liquid pipe temperature.

[0100] In some embodiments, Support Vector Machines (SVMs) are binary classification models. The basic model of an SVM is a linear classifier with the largest margin defined in the feature space. The largest margin in an SVM distinguishes it from a perceptron. SVMs also incorporate kernel tricks, making them essentially non-linear classifiers. SVMs are based on the VC dimension theory and the principle of structural risk minimization in statistical learning theory. They seek the optimal trade-off between model complexity (i.e., learning accuracy on specific training samples) and learning ability (i.e., the ability to identify any sample without errors) based on limited sample information, aiming to achieve the best generalization ability.

[0101] In some embodiments, the controller can train multiple support vector machine-based fault identification models based on historical operating data of the multi-split air conditioning system, and store the trained fault identification models in memory. This allows the controller to promptly identify the type of fault occurring in the multi-split air conditioning system based on the trained fault identification models when performing the fault identification function. The historical operating data of the multi-split air conditioning system includes normal operating data during normal operation and abnormal operating data during abnormal operation (also referred to as historical fault data).

[0102] In some embodiments, the training process of the fault identification model includes: establishing a data regression line, regression plane and hyperplane for fitting, and adjusting the fitting accuracy and range by using a loss function, setting a deviation value and slack variables.

[0103] In some embodiments, model testing is performed after the fault identification model is trained. The test results of the fault identification model are visualized using a confusion matrix and a diagnostic time series diagram, and three model evaluation metrics are introduced: Geometric Mean Accuracy (GMA), False Alarm Rate (FAR), and Missed Alarm Rate (MAR) for evaluation. The GMA metric represents the geometric mean of the accuracy for each classification category. After obtaining the actual results, a judgment is made; if the accuracy does not meet the requirements, a parameter update and tuning module is initiated for self-optimization.

[0104] S102. The fault type corresponding to the fault identification result with the highest probability among multiple fault identification results shall be taken as the target fault type of the multi-split air conditioning system.

[0105] Understandably, a fault identification model corresponds to a fault type. The higher the probability of a fault identification result, the higher the probability of the multi-split air conditioning system experiencing the fault type corresponding to that fault identification result. Therefore, the fault type corresponding to the fault identification result with the highest probability among multiple fault identification results can be taken as the target fault type of the multi-split air conditioning system.

[0106] For example, suppose the fault identification models include A1, B1, and C1, where A1 corresponds to fault type A, B1 corresponds to fault type B, and C1 corresponds to fault type C. When a fault is determined to have occurred in a multi-split air conditioning system, the system's characteristic data is input into the three fault identification models A1, B1, and C1 to obtain their respective fault identification results. Assuming that the fault identification result output by A1 indicates a 50% probability of fault type A, the fault identification result output by B1 indicates an 80% probability of fault type B, and the fault identification result output by C1 indicates a 30% probability of fault type C, then fault type B can be considered the target fault type for the multi-split air conditioning system.

[0107] The technical solution of this application embodiment brings at least the following beneficial effects: Addressing the problem of low fault identification accuracy in current multi-split air conditioning systems, the control method for multi-split air conditioning systems provided in this application embodiment, after determining that a fault has occurred in the multi-split air conditioning system, inputs the characteristic data of the multi-split air conditioning system into multiple fault identification models to obtain multiple identification results. Since the characteristic data of the multi-split air conditioning system is obtained after correlation analysis based on the operating data of the multi-split air conditioning system, the influence of irrelevant data in the operating data on the accuracy of fault identification is eliminated, which helps to improve the accuracy of fault identification in the multi-split air conditioning system. Furthermore, the fault type corresponding to the fault identification result with the highest probability among the multiple fault identification results is taken as the target fault type of the multi-split air conditioning system, thereby improving the accuracy of fault identification in the multi-split air conditioning system.

[0108] The above embodiments focus on how to identify faults in a multi-split air conditioning system in the control method provided in this application. In some embodiments, after confirming the target fault type of the multi-split air conditioning system, that is, after step S102, such as Figure 6 As shown, the method may further include the following steps:

[0109] S201. Input the characteristic data of the multi-split air conditioning system into the fault level identification model corresponding to the target fault type to obtain the fault level identification result.

[0110] Understandably, in the event of a malfunction in a multi-split air conditioning system, different fault levels will have varying impacts on its operation. A minor fault level means the current fault may not significantly affect the system's operation and can be temporarily left unattended. However, a severe fault level could render the system inoperable, requiring maintenance. Therefore, after identifying the target fault type, it's necessary to use the system's characteristic data to determine the fault level and whether maintenance is required.

[0111] In some embodiments, the memory of the multi-split air conditioning system pre-stores multiple fault level identification models, one of which is used to identify the fault level of a fault type. After determining the target fault type of the multi-split air conditioning system, the characteristic data of the multi-split air conditioning system can be input into the fault level identification model corresponding to the target fault type to obtain the fault level identification result. The fault level identification result represents the degree of influence of the target fault type on the multi-split air conditioning system.

[0112] In some embodiments, the fault level identification model can be a fault level identification model based on machine learning algorithms.

[0113] In some embodiments, the fault level identification results include: fault level 1, fault level 2, fault level 3, fault level 4, and fault level 5. If the fault level identification result is fault level 1 or fault level 2, it indicates that the user needs to pay attention and is advised to check it. If the fault level identification result is fault level 3, it indicates that the user needs to pay attention and is advised to perform maintenance soon. If the fault level identification result is fault level 4, it indicates that the user needs to pay sufficient attention and is advised to perform timely maintenance. If the fault level identification result is fault level 5, it indicates that the user needs to pay close attention and is advised to perform immediate maintenance.

[0114] S202. When the fault level indicated by the fault level identification result is above the preset fault level, an alarm message is issued.

[0115] When the fault level indicated by the fault level identification result is higher than the preset fault level, it means that the fault level corresponding to the current target fault type is high, which may cause the multi-split air conditioning system to malfunction. To ensure the normal operation of the multi-split air conditioning system, an alarm message can be issued to prompt maintenance personnel to inspect and repair the multi-split air conditioning system.

[0116] In some embodiments, the alarm information includes the target fault type, so that maintenance personnel can perform targeted repairs on the multi-split air conditioning system based on the target fault type, which helps to improve the efficiency of fault repair for the multi-split air conditioning system.

[0117] The preset fault level can be set at the factory when the multi-split air conditioning system leaves the factory.

[0118] For example, Figure 7 This is a diagram illustrating the impact of a fault level on a multi-split air conditioning system. For example... Figure 7 As shown, a fault level below 5 indicates a minor fault in the multi-split air conditioning system, with minimal impact on the system. Conversely, a fault level above 5 indicates a serious fault, meaning a significant impact on the system.

[0119] For example, Figure 8 This is a schematic diagram illustrating a fault level early warning system for a multi-split air conditioning system. (Example:) Figure 8As shown, to prevent minor faults in multi-split air conditioning systems from developing into serious faults, a preset fault level can be set to fault level 2. That is, when the fault level of the multi-split air conditioning system is determined to be above fault level 2, the controller will start to issue alarm information to remind maintenance personnel to carry out maintenance, thus preventing minor faults in the multi-split air conditioning system from developing into serious faults, such as preventing the fault level of the multi-split air conditioning system from developing from fault level 2 to fault level 5.

[0120] For example, the controller may issue alarm messages in one or more of the following ways.

[0121] Method 1: The controller controls the indoor unit's display to show alarm information.

[0122] For example, assuming the target fault type of a multi-split air conditioning system is outdoor heat exchanger blockage, the alarm message could be "Outdoor heat exchanger is severely blocked, immediate repair recommended!"

[0123] In some embodiments, in order to facilitate users' timely awareness of serious malfunctions in the multi-split air conditioning system, the controller can control the display of the above-mentioned alarm information on the monitor of each indoor unit in the multi-split air conditioning system.

[0124] Method 2: The controller sends alarm information to the terminal device through the communicator.

[0125] For example, assuming the target fault type of the multi-split air conditioning system is outdoor heat exchanger blockage, the alarm message received by the terminal device from the controller 50 via Wi-Fi network or Bluetooth could be "Outdoor heat exchanger is severely blocked, immediate repair recommended!"

[0126] Method 3: The controller sends alarm information to the terminal device through a voice prompt device.

[0127] In some embodiments, the indoor unit also includes a voice device, which may be a speaker or the like. The controller can control the voice device to broadcast alarm information to attract the user's attention and remind the user to perform maintenance.

[0128] The above embodiments focus on the steps performed after determining the fault type in the multi-split air conditioning system. In some embodiments, before step 101, such as Figure 9 As shown, the method may further include the following steps:

[0129] S301. Before determining that a multi-split air conditioning system has malfunctioned, obtain the operating data of the multi-split air conditioning system.

[0130] Understandably, fault identification can only proceed after a fault has been confirmed in the multi-split air conditioning system. Therefore, before determining whether a fault has occurred, the operating data of the multi-split air conditioning system can be obtained to assess its malfunction.

[0131] Optional, such as Figure 10 As shown, step S301 can be specifically implemented as follows:

[0132] S3011. Obtain the raw operating data of the multi-split air conditioning system.

[0133] In some embodiments, when the multi-split air conditioning system is in operation, the controller acquires the raw operating data generated by each component of the multi-split air conditioning system during operation.

[0134] S3012. Preprocess the raw operating data of the multi-split air conditioning system to obtain the operating data of the multi-split air conditioning system.

[0135] In some embodiments, preprocessing includes outlier removal and smoothing.

[0136] Outlier removal refers to the process where, during the acquisition of raw operating data by the controller, some outlier data points exhibit a high degree of dispersion compared to other operating data. If outlier removal is not performed on the raw operating data of the multi-split air conditioning system, these outlier data may affect the accuracy of subsequent fault diagnosis results. Therefore, after acquiring the raw operating data of the multi-split air conditioning system, outlier removal processing can be performed on the raw operating data.

[0137] Smoothing refers to the process of removing outliers from the raw operating data of a multi-split air conditioning system, followed by least-squares curve fitting using a smoothing algorithm. The fitted data then replaces the removed data. Least-squares fitting is a mathematical approximation and optimization method that uses known data to obtain a straight line or curve in a coordinate system, minimizing the sum of the squares of the distances between the fitted points and the known data.

[0138] In some embodiments, the smoothing algorithm includes the Savitzky-Golay algorithm.

[0139] In some embodiments, data smoothing processing of the original operating data of the multi-split air conditioning system can be specifically implemented as follows: inputting the original operating data after outlier removal processing into a generative network adversarial model to obtain the operating data of the multi-split air conditioning system.

[0140] Generative Adversarial Networks (GANs) are deep learning models that consist of at least two modules: a generative model and a discriminative model. The generative model generates fitted data, while the discriminative model evaluates the fitted data, determining whether it is smooth. The generative and discriminative models interact and compete to produce smoothed data.

[0141] In some embodiments, the operating data of a multi-split air conditioning system may include at least one of the following: compressor current value, compressor operating frequency, compressor discharge pressure value, compressor suction pressure value, compressor suction temperature value, compressor discharge temperature value, compressor discharge superheat value, compressor suction superheat value, outdoor fan speed, expansion valve opening, outlet air temperature of each indoor unit, return air temperature of each indoor unit, gas pipe temperature value, liquid pipe temperature value, and discharge pressure and discharge temperature value at the refrigerant discharge pipe of the outdoor unit. The operating data of the multi-split air conditioning system shown above are merely exemplary, and the operating data of the multi-split air conditioning system may also include other data, which will not be elaborated here.

[0142] S302. Based on the maximum information coefficient method, perform correlation analysis on the operating data of the multi-split air conditioning system, and extract the characteristic data of the multi-split air conditioning system from the operating data of the multi-split air conditioning system.

[0143] Understandably, multi-split air conditioning systems contain a large amount of redundant data in their operational data, which is useless for fault diagnosis. This redundant data can affect the efficiency and accuracy of fault diagnosis. To eliminate the impact of redundant data on the efficiency and accuracy of fault diagnosis, a correlation analysis can be performed on the operational data of multi-split air conditioning systems based on the maximum information coefficient method, extracting the characteristic data of the multi-split air conditioning system from the operational data.

[0144] The maximum information coefficient method is a feature selection algorithm used to measure the degree of correlation between two variables. It can measure the correlation between various fault types and the operating data of a multi-split air conditioning system, and analyze and filter the operating data based on this correlation. Operating data with a low correlation to a fault type indicates a weak correlation and can be considered redundant data, while operating data with a high correlation indicates a strong correlation and can be used as feature data.

[0145] In some embodiments, before performing correlation analysis on the operating data of the multi-split air conditioning system based on the maximum information coefficient method and extracting the feature data of the multi-split air conditioning system from the operating data, the importance of different operating data for different fault types can be calculated based on the Gini variable importance and the association rule algorithm, and the operating data can be sorted according to the importance.

[0146] Gini variable importance refers to a method of measuring the importance of variables based on the Gini index. The Gini index represents the probability that a randomly selected sample in a sample set will be misclassified. The smaller the Gini index, the lower the probability that the selected sample in the set will be misclassified, that is, the higher the purity of the set. The smaller the Gini index of a feature data, the more important that feature data is.

[0147] S303. Based on the characteristic data of the multi-split air conditioning system, determine whether the multi-split air conditioning system has malfunctioned.

[0148] As shown in step S302 above, the characteristic data of the multi-split air conditioning system is extracted from the operating data of the multi-split air conditioning system through correlation analysis. This characteristic data reflects the operating status of the multi-split air conditioning system. However, in the event of a malfunction in the multi-split air conditioning system, the characteristic data will also fluctuate.

[0149] For example, after passing through the expansion valve of the indoor unit, the refrigerant enters the evaporation and heat absorption process. When the expansion valve connected to the indoor unit is functioning normally, the temperature values ​​of the gas pipe and the liquid pipe connected to the indoor unit should be equal, meaning the temperature difference between them should be zero. However, when the expansion valve malfunctions, for example, if its opening is too small, insufficient refrigerant flow will lead to excessively high temperatures during evaporation and heat absorption, resulting in a larger temperature difference between the liquid pipe and the gas pipe connected to the indoor unit. Therefore, the malfunction of the expansion valve can be determined based on the characteristic data (the temperatures of the gas pipe and the liquid pipe).

[0150] Optional, such as Figure 11 As shown, step S303 can be specifically implemented as follows:

[0151] S3031. Input the characteristic data of the multi-split air conditioning system into the fault diagnosis model to obtain the fault diagnosis results.

[0152] In some embodiments, the memory of the multi-split air conditioning system pre-stores a trained fault diagnosis model. When performing fault diagnosis on the multi-split air conditioning system, the feature data of the multi-split air conditioning system can be input into the trained fault diagnosis model to obtain the fault diagnosis result, which indicates whether the multi-split air conditioning system has malfunctioned.

[0153] In some embodiments, the fault diagnosis model can be a fault diagnosis model based on support vector machines.

[0154] In some embodiments, the fault diagnosis model training process includes: setting up gradient simulation experiments of multi-split air conditioning systems for each fault type, collecting experimental data for each fault type, and classifying the experimental data according to whether the multi-split air conditioning system is normal or abnormal, for use in training the fault diagnosis model.

[0155] For example, taking the simulation experiment of refrigerant charge as an example, multiple simulation experiments are set up with the refrigerant charge decreasing by 10% in sequence from 120% (overcharge) to 50% (undercharge), and the experimental data of each simulation experiment are collected.

[0156] In some embodiments, if the performance of the multi-split air conditioning system in the simulation experiment deteriorates, and the performance deterioration reaches a preset threshold, the multi-split air conditioning system is considered to be abnormal, and all experimental data for that simulation experiment are marked as abnormal. If the performance deterioration of the multi-split air conditioning system in the simulation experiment does not reach the preset threshold, the multi-split air conditioning system is considered to be normal, and all experimental data for that simulation experiment are marked as normal.

[0157] S3032. If the fault diagnosis result is yes, it is determined that the multi-split air conditioning system has malfunctioned.

[0158] In some embodiments, if the fault diagnosis result is negative, it is determined that the multi-split air conditioning system has not malfunctioned.

[0159] based on Figure 9 The embodiments shown bring at least the following beneficial effects: Based on the maximum information coefficient method, correlation analysis is performed on the operating data of the multi-split air conditioning system, and feature data is extracted from the operating data of the multi-split air conditioning system. This allows for subsequent fault diagnosis, fault identification, and fault level identification based on feature data with small data volume and strong feature representativeness, thereby improving the efficiency and accuracy of fault diagnosis, fault identification, and fault level identification.

[0160] The following example illustrates a control method for a multi-split air conditioning system provided in this application. Figure 12 The diagram shown is an overall flow chart of a control method for a multi-split air conditioning system provided in an embodiment of this application.

[0161] like Figure 12As shown, when a multi-split air conditioning system is in operation, the controller acquires the system's operating data and extracts its feature data through correlation analysis. This feature data is then input into a fault diagnosis model to determine if a fault has occurred. If no fault has occurred, normal operation continues. If a fault has occurred, fault identification is performed. Fault identification involves inputting the feature data into multiple support vector machine-based fault identification models and selecting the fault type with the highest probability among the multiple fault identification results as the target fault type.

[0162] After confirming the target fault type, the feature data is input into the fault level identification model corresponding to the target fault type to obtain the fault level identification result. If the fault level identification result is below the preset fault level, the fault is considered minor; if the fault level identification result is above the preset fault level, the fault is considered serious, and an alarm message is sent to remind the user to perform maintenance.

[0163] In some embodiments, the control method for a multi-split air conditioning system provided in this application also involves a training process for a fault level identification model. For example, the training process for the fault level identification model includes the following steps:

[0164] A1. Data Acquisition.

[0165] Data is collected for training the fault level identification model. Gradient simulation experiments of multi-split air conditioning systems can be set up for each fault type. Experimental data for each fault type is collected and classified according to the fault level of the multi-split air conditioning system for training the fault diagnosis model. The simulation experiments and data collection steps have been described in detail above and will not be repeated here.

[0166] A2. Data preprocessing.

[0167] After collecting experimental data for training the fault level identification model, the collected experimental data needs to be preprocessed to remove abnormal data and smooth the data. The data preprocessing steps have been described above and will not be repeated here.

[0168] A3. Selection of important feature data.

[0169] After the experimental data preprocessing was completed, the importance of different operational data for different fault types was calculated based on the Gini variable importance and association rule algorithm, and the operational data were then sorted according to their importance. Correlation analysis was performed on the experimental data using the maximum information coefficient method to remove redundant data unrelated to the faults. The Gini variable importance and maximum information coefficient method have been introduced in the above steps and will not be repeated here.

[0170] In some embodiments, the selection of key feature data further includes: decoupling faults. Decoupling refers to transforming a mathematical equation containing multiple variables into a system of equations that can be represented by a single variable, meaning that the variables no longer simultaneously and directly affect the result of a single equation, thereby simplifying analysis and calculation. In multi-split air conditioning systems, faults may be correlated, causing other faults to be triggered when a single fault occurs in the multi-split air conditioning system. Decoupling faults means eliminating the influence of other faults on a given fault when analyzing the correlation between experimental data and that fault.

[0171] In some embodiments, the selection of important feature data further includes: analyzing existing experimental data in conjunction with an expert knowledge system. After ranking the experimental data according to their importance and performing correlation analysis using the maximum information coefficient method, important feature data can be selected by combining the information with an expert knowledge system. Based on the working principle of a multi-split air conditioning system, an expert knowledge system is constructed to comprehensively analyze the experimental data after importance ranking and correlation analysis using the maximum information coefficient method, and to select important feature data.

[0172] A4. Model training.

[0173] After identifying key feature data, a fault level identification model is trained based on a support vector machine (SVM) model. After training, the model is evaluated. If the accuracy of the fault level identification model does not meet the requirements, parameter updates and model tuning are initiated for self-optimization. The methods for model training and optimization have been described in the above steps and will not be repeated here.

[0174] In some embodiments, the training methods of the fault diagnosis model and fault identification model involved in the embodiments of this application can refer to the training method of the fault level identification model described above, and will not be repeated here.

[0175] As can be seen, the above mainly describes the solutions provided by the embodiments of this application from a methodological perspective. To achieve the above functions, the embodiments of this application provide corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should readily recognize that, in conjunction with the modules and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed in hardware or by computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0176] This application embodiment can divide the controller into functional modules according to the above method example. For example, each function can be divided into a separate functional module, or two or more functions can be integrated into one processing module. The integrated module can be implemented in hardware or as a software functional module. Optionally, the module division in this application embodiment is illustrative and only represents one logical functional division; other division methods may be used in actual implementation.

[0177] This application also provides a hardware structure diagram of a controller, such as... Figure 13 As shown, the controller 3000 includes a processor 3001, and optionally, a memory 3002 and a communication interface 3003 connected to the processor 3001. The processor 3001, memory 3002 and communication interface 3003 are connected via a bus 3004.

[0178] Processor 3001 may be a central processing unit (CPU), a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. Processor 3001 may also be any other device with processing capabilities, such as a circuit, device, or software module. Processor 3001 may also include multiple CPUs, and processor 3001 may be a single-core processor or a multi-core processor. Here, "processor" may refer to one or more devices, circuits, or processing cores used to process data (e.g., computer program instructions).

[0179] The memory 3002 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or it may be an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer. This application embodiment does not impose any limitations on this. The memory 3002 may exist independently or be integrated with the processor 3001. The memory 3002 may contain computer program code. The processor 3001 is used to execute the computer program code stored in the memory 3002, thereby implementing the control method of the multi-split air conditioning system provided in this application embodiment.

[0180] The communication interface 3003 can be used to communicate with other devices or communication networks (such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.). The communication interface 3003 can be a module, circuit, transceiver, or any device capable of enabling communication.

[0181] Bus 3004 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. Bus 3004 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 13 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0182] This application also provides a computer-readable storage medium, which includes computer-executable instructions. When the computer-executable instructions are executed on the computer, the computer performs the control method for the multi-split air conditioning system provided in the above embodiments.

[0183] This application also provides a computer program product that can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program product can realize the control method of the multi-split air conditioning system provided in the above embodiments.

[0184] Those skilled in the art will recognize that, in one or more of the examples above, the functions described in this application can be implemented using hardware, software, firmware, or any combination thereof. When implemented in software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transfer of a computer program from one place to another. Storage media can be any available medium accessible to a general-purpose or special-purpose computer.

[0185] Through the above description of the embodiments, those skilled in the art can clearly understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0186] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and other division methods may exist in actual implementation. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual couplings, direct couplings, or communication connections may be through some interfaces; indirect couplings or communication connections between devices or units may be electrical, mechanical, or other forms. Units described as separate components may or may not be physically separate; components shown as units may be one physical unit or multiple physical units, i.e., they may be located in one place or distributed in multiple different places. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0187] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiments of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0188] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A multi-split air conditioning system, characterized in that, include: The refrigerant circulation loop circulates the refrigerant through the compressor, condenser, expansion valve, and evaporator; A controller that controls at least the compressor and the expansion valve; One of the condenser and the evaporator is an outdoor heat exchanger, and the other is an indoor heat exchanger; An outdoor unit, which includes the compressor and the outdoor heat exchanger; Multiple indoor units, each indoor unit including the indoor heat exchanger; Liquid pipes and gas pipes are used to connect the outdoor unit and the indoor unit; The controller is configured as follows: Obtain the operating data of the multi-split air conditioning system; The correlation analysis of the operating data of the multi-split air conditioning system is performed based on the maximum information coefficient method, and the characteristic data of the multi-split air conditioning system are extracted from the operating data of the multi-split air conditioning system. Based on the characteristic data of the multi-split air conditioning system, determine whether the multi-split air conditioning system has malfunctioned; When it is determined that the multi-split air conditioning system has malfunctioned, the feature data of the multi-split air conditioning system are respectively input into multiple fault identification models based on support vector machines to obtain multiple fault identification results. Among them, one fault identification model is used to identify a fault type, and the fault identification result output by the fault identification model is used to indicate the probability of the multi-split air conditioning system experiencing the fault type corresponding to the fault identification model. The fault type corresponding to the fault identification result with the highest probability among the multiple fault identification results is taken as the target fault type of the multi-split air conditioning system.

2. The multi-split air conditioning system according to claim 1, characterized in that, The controller, after being configured to use the fault type corresponding to the fault identification result with the highest probability among the multiple fault identification results as the target fault type of the multi-split air conditioning system, is further configured to: The feature data of the multi-split air conditioning system is input into the fault level identification model corresponding to the target fault type to obtain the fault level identification result; When the fault level indicated by the fault level identification result is above the preset fault level, an alarm message is issued. The alarm message includes the target fault type and is used to prompt the multi-split air conditioning system to be inspected.

3. The multi-split air conditioning system according to claim 2, characterized in that, When the controller is configured to determine whether a fault has occurred in the multi-split air conditioning system based on the characteristic data of the multi-split air conditioning system, it is specifically configured as follows: The characteristic data of the multi-split air conditioning system are input into the fault diagnosis model to obtain the fault diagnosis result, which indicates whether the multi-split air conditioning system has malfunctioned. If the fault diagnosis result is yes, it is determined that the multi-split air conditioning system has malfunctioned.

4. The multi-split air conditioning system according to claim 2, characterized in that, When the controller is configured to acquire the operating data of the multi-split air conditioning system, it is specifically configured as follows: Obtain the raw operating data of the multi-split air conditioning system; The original operating data of the multi-split air conditioning system is preprocessed to obtain the operating data of the multi-split air conditioning system. The preprocessing includes outlier removal and smoothing.

5. The multi-split air conditioning system according to any one of claims 1 to 3, characterized in that, The characteristic data of the multi-split air conditioning system includes at least one of the following: the operating frequency of the compressor, the discharge pressure of the compressor, the suction pressure of the compressor, the suction temperature of the compressor, the discharge temperature of the compressor, the discharge superheat of the compressor, the suction superheat of the compressor, the outdoor fan speed, the opening degree of the expansion valve, the outlet air temperature of each indoor unit, the return air temperature of each indoor unit, the temperature value of the gas pipe, and the temperature value of the liquid pipe.

6. A control method for a multi-split air conditioning system, characterized in that, The method is applied to the multi-split air conditioning system according to any one of claims 1 to 5.

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