Multi-air conditioning system, fault location identification method and fault diagnosis model training method

Abstract

Some embodiments of the present disclosure provide a multi-air conditioning system, a fault location identification method, and a fault diagnosis model training method. The multi-air conditioning system includes an outdoor unit, a plurality of indoor units, a plurality of electronic expansion valves, and a controller. A gas pipe and a liquid pipe are connected to each of the indoor units among the plurality of indoor units. The plurality of electronic expansion valves are provided in the liquid pipes to which the corresponding indoor units are connected. The controller is configured to acquire characteristic data of each of the indoor units among the plurality of indoor units when a failure of the electronic expansion valve occurs in the multi-air conditioning system. The characteristic data of each indoor unit includes a temperature difference between a temperature value of a liquid pipe connected to the indoor unit and a temperature value of a gas pipe connected to the indoor unit. The controller is configured to determine an abnormal indoor unit among the plurality of indoor units according to the characteristic data of each indoor unit among the plurality of indoor units. The controller is configured to determine an electronic expansion valve corresponding to the abnormal indoor unit as a faulty electronic expansion valve.

Description

[Technical Field]

[0001] (CROSS-REFERENCE TO RELATED APPLICATIONS) This application claims priority from Chinese patent application No. 202210386517.3 filed on April 11, 2022, and Chinese patent application No. 202210682549.8 filed on June 16, 2022, the entire disclosures of which are incorporated herein by reference.

[0002] The present invention relates to the field of air conditioning technology, and more particularly to a multi-air conditioning system, a fault location method, and a fault diagnosis model training method. [Background technology]

[0003] A multi-air conditioning system includes an outdoor unit and multiple indoor units, and adjusts the temperature of multiple indoor spaces that the multiple indoor units are located in. Due to the large number of components in the multi-air conditioning system, if a malfunction occurs in the multi-air conditioning system, it is difficult to quickly identify the malfunctioning component, which reduces the efficiency of locating the malfunction in the multi-air conditioning system. Summary of the Invention

[0004] In one aspect, some embodiments of the present disclosure provide a multi-air conditioning system. The multi-air conditioning system includes an outdoor unit, a plurality of indoor units, a plurality of electronic expansion valves, and a controller. A gas pipe and a liquid pipe are connected to each of the indoor units, thereby communicating with the outdoor unit via the gas pipe and the liquid pipe. The plurality of electronic expansion valves correspond to the plurality of indoor units. The plurality of electronic expansion valves are respectively provided in the liquid pipes to which the corresponding indoor units are connected, and are configured to control the refrigerant output amount or refrigerant input amount of the corresponding indoor unit.

[0005] The controller is configured to acquire characteristic data of each indoor unit among the plurality of indoor units when a failure of an electronic expansion valve occurs in the multi-air conditioning system. The characteristic data of each indoor unit includes a temperature difference between a temperature value of a liquid pipe connected to the indoor unit and a temperature value of a gas pipe connected to the indoor unit. The controller is configured to determine an abnormal indoor unit among the plurality of indoor units according to the characteristic data of each indoor unit. The controller is configured to determine the electronic expansion valve corresponding to the abnormal indoor unit as the faulty electronic expansion valve.

[0006] In another aspect, some embodiments of the present disclosure provide a method for locating a fault in a multi-air conditioning system. The multi-air conditioning system includes an outdoor unit, a plurality of indoor units, and a plurality of electronic expansion valves. A gas pipe and a liquid pipe are connected to each of the indoor units, thereby communicating with the outdoor unit via the gas pipe and the liquid pipe. The plurality of electronic expansion valves correspond to the plurality of indoor units. The plurality of electronic expansion valves are respectively provided in the liquid pipes to which the corresponding indoor units are connected, and are configured to control the refrigerant output amount or refrigerant input amount of the corresponding indoor unit.

[0007] The method includes, when a failure occurs in an electronic expansion valve in a multi-air conditioning system, acquiring characteristic data for each indoor unit among a plurality of indoor units, the characteristic data for each indoor unit including a temperature difference between the temperature value of a liquid pipe connected to the indoor unit and the temperature value of a gas pipe connected to the indoor unit, determining an abnormal indoor unit among the plurality of indoor units according to the characteristic data of each indoor unit, and determining the electronic expansion valve corresponding to the abnormal indoor unit as the failed electronic expansion valve.

[0008] In yet another aspect, some embodiments of the present disclosure provide a method for training a fault diagnosis model for a multi-air conditioning system, the training method including: obtaining normal values ​​and fault values ​​of a plurality of operating data of a first multi-air conditioning system; determining a first feature offset space of the first multi-air conditioning system based on the normal values ​​and fault values ​​of the plurality of operating data of the first multi-air conditioning system, where the first feature offset space includes a difference between the fault value and the normal value of each of the plurality of operating data of the first multi-air conditioning system; correcting the first feature offset space based on the difference between the normal values ​​of the plurality of operating data of the first multi-air conditioning system and the normal values ​​of the plurality of operating data of a second multi-air conditioning system to obtain a second feature offset space of the second multi-air conditioning system; determining fault values ​​of the plurality of operating data of the second multi-air conditioning system based on the normal values ​​of the plurality of operating data of the second multi-air conditioning system and the second feature offset space; and training a fault diagnosis model based on the normal values ​​and fault values ​​of the plurality of operating data of the second multi-air conditioning system.

[0009] In the following, in order to more clearly explain the technical solutions according to the present disclosure, a brief description will be given of the drawings used in some embodiments of the present disclosure, but the drawings in the following description are only some drawings of some embodiments of the present disclosure, and those skilled in the art can obtain other drawings based on these drawings. In addition, the drawings in the following description can be regarded as schematic diagrams, and do not limit the actual dimensions of the products, the actual flow of the methods, the actual timing of the signals, etc. according to the embodiments of the present disclosure. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a structural diagram of a multi-air conditioning system according to some embodiments. [Figure 2] FIG. 2 is another structural diagram of a multi-air conditioning system according to some embodiments. [Figure 3] FIG. 2 is a structural diagram of a controller according to some embodiments. [Figure 4]FIG. 1 illustrates an interaction scheme between a controller and a terminal device according to some embodiments. [Figure 5] FIG. 1 is an interface diagram of a terminal device according to some embodiments. [Figure 6] 1 is a flowchart of a fault location method for a multi-air conditioning system according to some embodiments. [Figure 7] FIG. 10 is another interface diagram of a terminal device according to some embodiments. [Figure 8] FIG. 10 is yet another interface diagram of a terminal device according to some embodiments. [Figure 9] FIG. 2 is a location diagram of a first temperature sensor and a second temperature sensor according to some embodiments. [Figure 10] 1 is another flowchart of a fault location method for a multi-air conditioning system according to some embodiments. [Figure 11] 10 is yet another flowchart of a fault location method for a multi-air conditioning system according to some embodiments. [Figure 12] FIG. 10 is yet another interface diagram of a terminal device according to some embodiments. [Figure 13] 1 is a flowchart of a method for training a fault diagnosis model for a multi-air conditioning system according to some embodiments. [Figure 14] 1 is another flowchart of a method for training a fault diagnosis model for a multi-air conditioning system according to some embodiments. [Figure 15] 1 is a structural diagram of a fault diagnosis model training method according to some embodiments; [Figure 16] 10 is yet another flowchart of a method for training a fault diagnosis model for a multi-air conditioning system according to some embodiments. [Figure 17] 10 is yet another flowchart of a method for training a fault diagnosis model for a multi-air conditioning system according to some embodiments. [Figure 18] FIG. 1 is a diagram illustrating the structure of an autoencoder model according to some embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, several embodiments of the present disclosure will be described clearly and completely with reference to the drawings. Of course, the embodiments described herein are only a part of the embodiments of the present disclosure, and are not all of the embodiments. All other embodiments that can be obtained by those skilled in the art based on the embodiments in the present disclosure shall fall within the scope of protection of the present disclosure.

[0012] Unless the context indicates otherwise, in this specification and claims, the term "comprise" and other forms thereof, such as the third-person singular "comprises" and the present participle form "comprising," should be interpreted in an open, inclusive sense, i.e., "including, but not limited to." In the description, the terms "one embodiment," "some embodiments," "exemplary embodiments," "example," "specific example," "some examples," and the like, are intended to indicate that a particular feature, structure, material, or characteristic associated with this embodiment or examples is included in at least one embodiment or example of the present disclosure. General references to the above terms do not necessarily refer to the same embodiment or example. Furthermore, a described particular feature, structure, material, or characteristic may be included in any one or more embodiments or examples in any appropriate manner.

[0013] Hereinafter, the terms "first" and "second" are for descriptive purposes only and should not be understood as indicating or implying the relative importance or quantity of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In describing the embodiments of the present disclosure, unless otherwise specified, "plurality" means two or more than two.

[0014] In describing some embodiments, the terms "coupled" and "connected" and their derivatives may be used. The term "connected" should be understood in a broad sense. For example, "connected" may be a fixed connection, a detachable connection, or an integral connection, and may be a direct connection or an indirect connection via an intermediate medium. The term "coupled" indicates, for example, that two or more components are in direct physical or electrical contact with each other. The terms "coupled" or "communicatively coupled" may also mean that two or more components are not in direct contact with each other but still cooperate or interact with each other. The embodiments disclosed herein are not necessarily limited to the contents of this specification.

[0015] "A and / or B" includes three combinations: A only, B only, and a combination of A and B.

[0016] In this specification, the use of "disposed to" is intended to be open and inclusive language and does not exclude devices adapted or arranged to perform additional tasks or steps.

[0017] Also, the use of "based on" denotes open and inclusive language, as a process, step, calculation, or other action performed "based on" one or more recited conditions or values ​​may, in fact, be based on additional conditions or values ​​beyond the recited values.

[0018] Some embodiments of the present disclosure provide a multi-air conditioning system 10. As shown in FIG. 1 , the multi-air conditioning system 10 includes an outdoor unit 11, a plurality of electronic expansion valves 12, a plurality of indoor units 13, and a controller 14 (not shown in FIG. 1 ). The outdoor unit 11 may be, for example, a device mounted on the outside of a wall or on a rooftop of a house in the multi-air conditioning system 10. The outdoor unit 11 is primarily used to compress a refrigerant and circulate the refrigerant within the multi-air conditioning system 10. A refrigerant is a substance that easily absorbs heat and becomes a gas, and then easily releases heat and becomes a liquid. The indoor unit 13 is, for example, a device mounted indoors in the multi-air conditioning system 10. The indoor unit 13 is primarily used to transport cool or hot air to the indoor space in which the indoor unit 13 is located, thereby regulating the temperature of the indoor space.

[0019] In some embodiments, a gas pipe 15 and a liquid pipe 16 are connected to each indoor unit among the plurality of indoor units 13, so that the indoor unit communicates with the outdoor unit 11 via the gas pipe 15 and the liquid pipe 16. The gas pipe 15 is configured to transport gaseous refrigerant or two-phase refrigerant (a refrigerant in which gaseous and liquid states coexist) between the outdoor unit 11 and the indoor unit 13, and the liquid pipe 16 is configured to transport liquid refrigerant or two-phase refrigerant between the outdoor unit 11 and the indoor unit 13. The gas pipe 15 and the liquid pipe 16 may be collectively referred to as a duct.

[0020] In some examples, the plurality of electronic expansion valves 12 correspond to the plurality of indoor units 13. The plurality of electronic expansion valves 12 are provided in liquid pipes 16 to which the corresponding indoor units 13 are connected, and are configured to control the amount of refrigerant output or input to the corresponding indoor units 13.

[0021] The plurality of electronic expansion valves 12 may be provided independently of the plurality of indoor units 13 (as shown in FIG. 1 ), or may be provided as part of the plurality of indoor units 13. In the following embodiment, an example in which the plurality of electronic expansion valves 12 are provided independently of the plurality of indoor units 13 will be described as an example.

[0022] In some embodiments, the outdoor unit 11 includes a compressor 111, an outdoor heat exchanger 112, a gas-liquid separator 113, a four-way valve 114, and an outdoor fan 115. The exhaust port of the compressor 111 is connected to a D-terminal of the four-way valve 114, and the intake port of the compressor 111 is connected to an exhaust port of the gas-liquid separator 113. The intake port of the gas-liquid separator 113 is connected to an S-terminal of the four-way valve 114. The C-terminal of the four-way valve 114 is connected to a first end of the outdoor heat exchanger 112, and the E-terminal of the four-way valve 114 is connected to each gas pipe 15. The second end of the outdoor heat exchanger 112 is connected to each liquid pipe 16.

[0023] In some embodiments, each indoor unit of the plurality of indoor units 13 includes an indoor heat exchanger 131, an indoor fan 132, an air outlet 133, and a return air outlet 134. A first end of the indoor heat exchanger 131 communicates with a corresponding gas pipe 15, and a second end of the indoor heat exchanger 131 communicates with a corresponding liquid pipe 16. The air outlet 133 and the return air outlet 134 communicate with the indoor heat exchanger 131 via a discharge duct and a return air duct, respectively.

[0024] 1 is an exemplary structure of the multi-air conditioning system 10, and the multi-air conditioning system 10 may include more, fewer, or different components than those shown in FIG. 1. For example, the outdoor unit 11 may further include an outdoor fan motor for driving the operation of the outdoor fan 115, and the indoor unit 13 may further include a display and an indoor fan motor for driving the operation of the indoor fan 132. If the indoor unit 13 includes a display, the display may be configured to display the temperature of the indoor space in which the indoor unit 13 is located and / or may be configured to display the operating status of the multi-air conditioning system 10, etc.

[0025] 2, the controller 14 is coupled to the compressor 111, the four-way valve 114, and the outdoor fan 115 in the outdoor unit 11, coupled to the plurality of electronic expansion valves 12, and coupled to the indoor fans 132 in the plurality of indoor units 13. The controller 14 is configured to control the operating states of each component coupled to the controller 14.

[0026] The controller 14 is further coupled to a plurality of temperature sensors and a plurality of pressure sensors to obtain temperature and pressure values ​​of a plurality of components in the multi-air conditioning system 10. The installation manner of the plurality of temperature sensors and the plurality of pressure sensors will be described in the following embodiments.

[0027] The controller 14 is further coupled to a communicator 109 to establish a communication connection with another device (e.g., a terminal device) and transmit and receive communication signals via the communicator 109. Illustratively, the communicator 109 may include a radio frequency (RF) device, a cellular device, a wireless network communication technology (Wi-Fi) device, a global positioning system (GPS) device, etc.

[0028] In some examples, the controller 14 refers to a device capable of instructing the multi-air conditioning system 10 to execute a control command by generating an operation control signal according to a command operation code and a timing signal. Illustratively, the controller 14 may be a central processing unit (CPU), a general-purpose processor, a network processor, or the like. or , NP), Digital Signal Processing (DSP), microprocessor, microcontroller, Programmable Logic Device (PLD), or any combination thereof. Controller 14 may also be a device having other processing capabilities, such as a circuit, device, or software module, although embodiments of the present disclosure are not limited thereto.

[0029] 3 , the controller 14 includes an outdoor controller 141 and an indoor controller 142. The outdoor controller 141 includes a first memory 1411 and is configured to control the outdoor unit 11 to perform related operations. The indoor controller 142 includes a second memory 1421 and is configured to control the indoor units 13 and the electronic expansion valves to perform related operations. A wired or wireless communication connection exists between the indoor controller 142 and the outdoor controller 141. The outdoor controller 141 and the indoor controller 142 may be installed in association with the outdoor unit 11 and the indoor unit 13, respectively, or may be installed independently of the outdoor unit 11 and the indoor unit 13.

[0030] 3 is an exemplary structure of the controller 14. For example, the outdoor controller 141 and the indoor controller 142 may be integrated into one controller. The first memory 1411 and the second memory 1421 may also be integrated into one memory.

[0031] In some embodiments, the first memory 1411 and the second memory 1421 are configured to store application programs and data. The outdoor controller 141 and the indoor controller 142 execute the application programs and data stored in the first memory 1411 and the second memory 1421, respectively, to perform various functions and data processing of the multi-air conditioning system 10. Illustratively, the first memory 1411 and the second memory 1421 may include high-speed random access memory and may further include non-volatile memory. The first memory 1411 and the second memory 1421 may be, for example, a magnetic disk storage device, a flash memory device, etc.

[0032] In some embodiments, a user may control the operating state of the multi-air conditioning system 10 via a device that has established a communication connection with the controller 14. Illustratively, as shown in Figure 4, a communication connection exists between the controller 14 and a user's terminal device 300. The communication connection may be realized using various wired or wireless communication technologies, such as Ethernet, Universal Serial Bus (USB), FireWire, any cellular network communication technology (3G / 4G / 5G), Bluetooth, Wi-Fi, Near Field Communication (NFC), or any other suitable communication technology.

[0033] The terminal device 300 may be, for example, a remote control, a mobile phone, a tablet computer, a personal computer (PC), a personal digital assistant (PDA), a smart watch, a wearable electronic device, an augmented reality (AR) device, a virtual reality (VR) device, a robot, etc. In FIG. 4 and the following embodiments, the terminal device 300 is described as a mobile phone, but the present disclosure does not limit the specific form of the terminal device 300.

[0034] In this embodiment, as shown in Fig. 5 , a management interface 301 of the multi-air conditioning system 10 is displayed on the terminal device 300. The management interface 301 includes a first button 302 for managing the operating state of the multi-air conditioning system 10. In response to a user clicking the first button 302 in the management interface 301, the terminal device 300 pops up an operating state drop-down selection box 303 in the management interface 301. In response to an operating state selection operation performed by the user in the operating state drop-down selection box 303, the terminal device 300 transmits an operation command corresponding to the selection operation to the multi-air conditioning system 10, causing the multi-air conditioning system 10 to operate in accordance with the operating state selected by the user.

[0035] In some embodiments, the multi-air conditioning system 10 operates in a cooling mode to lower the temperature of the indoor space. In the cooling mode, the controller 14 controls the compressor 111 to start operating, and controls the four-way valve 114 to communicate between the D terminal and the C terminal, and between the S terminal and the E terminal.

[0036] In this way, the compressor 111 starts compressing the refrigerant, causing the refrigerant to circulate within the multi-air conditioning system 10. For example, the compressor 111 compresses gaseous refrigerant into high-temperature, high-pressure gaseous refrigerant, and causes the compressed refrigerant to reach a first end of the outdoor heat exchanger 112 through ports D and C of the four-way valve 114 and flow into the outdoor heat exchanger 112. The high-temperature, high-pressure gaseous refrigerant is liquefied into a low-temperature, low-pressure liquid refrigerant in the outdoor heat exchanger 112, and then passes through a second end of the outdoor heat exchanger 112, the liquid pipe 16, and the plurality of electronic expansion valves 12 to reach second ends of the plurality of indoor heat exchangers 131 and flow into the plurality of indoor heat exchangers 131. In any one of the indoor units 13, the low-temperature, low-pressure liquid refrigerant is vaporized into gaseous refrigerant in the indoor heat exchanger 131 of that indoor unit, absorbing heat from the surroundings of the indoor heat exchanger 131 and lowering the temperature of the gas inside the indoor unit. The cooled gas is then transported to the outside of the indoor unit via the indoor unit's air outlet 133, thereby lowering the temperature of the indoor space. The vaporized gaseous refrigerant then passes through the first end of the indoor heat exchanger 131 and the gas pipe 15 to reach the four-way valve 114, and then passes through the E and S ends of the four-way valve 114 to reach the intake port of the gas-liquid separator 113. The gaseous refrigerant may condense to produce a liquid during transport from the indoor heat exchanger 131 to the gas-liquid separator 113. The gas-liquid separator 113 separates the liquid and then inputs the gaseous refrigerant into the compressor 111, achieving refrigerant circulation.

[0037] In some other embodiments, the above-described multi-air conditioning system 10 operates in a heating operation state to raise the temperature of the indoor space. Unlike the above-described cooling operation state, in the heating operation state, the controller 14 controls the four-way valve 114 so that the D terminal and the E terminal communicate with each other, and the S terminal and the C terminal communicate with each other.

[0038] In this way, the high-temperature, high-pressure gaseous refrigerant obtained after compression by the compressor 111 passes through terminals D and E of the four-way valve 114 and is input from the gas pipe 15 to the multiple indoor heat exchangers 131. In one of the multiple indoor units 13, the high-temperature, high-pressure gaseous refrigerant is liquefied into a low-temperature, low-pressure liquid refrigerant in the indoor heat exchanger 131 of that indoor unit, thereby releasing heat to the surroundings of that indoor heat exchanger 131 and raising the temperature of the gas inside that indoor unit. The heated gas is then transported to the outside of that indoor unit through the air outlet 133 of that indoor unit, thereby raising the temperature of the indoor space. The low-temperature, low-pressure liquid refrigerant then flows out of the second end of the indoor heat exchanger 131 and passes through the multiple electronic expansion valves 12 and liquid pipe 16 to enter the outdoor heat exchanger 112. The low-temperature, low-pressure liquid refrigerant is vaporized into gaseous refrigerant in the outdoor heat exchanger 112, then transported to the gas-liquid separator 113 via the C terminal and S terminal of the four-way valve 114, and then returned to the compressor 111.

[0039] In the cooling or heating operation state described above, the outdoor fan 115 is configured to start operating under the control of the controller 14 and to exhaust the heat generated by the outdoor heat exchanger 112 liquefying the refrigerant or the cold generated by the outdoor heat exchanger 112 evaporating the refrigerant from the outdoor unit 11, and the indoor fan 132 is configured to start operating under the control of the controller 14 and to exhaust the cold generated by the indoor heat exchanger 131 evaporating the refrigerant or the heat generated by the indoor heat exchanger 131 liquefying the refrigerant from the indoor unit 13, thereby adjusting the temperature of the indoor space in which the indoor unit 13 is located.

[0040] In some embodiments, the return air vent 134 of the indoor unit 13 is configured to transport gas outside the indoor unit 13 into the interior of the indoor unit 13, whereby the gas is cooled or heated inside the indoor unit 13 via the indoor heat exchanger 131, and then transported to the exterior of the indoor unit 13 via the air outlet 133. In this way, the gas in the indoor space where the indoor unit 13 is located can be cooled or heated in a cyclical manner, thereby improving the temperature-cooling efficiency or temperature-raising efficiency of the multi-air conditioning system 10.

[0041] When the multi-air conditioning system 10 operates in a cooling operation mode, the outdoor heat exchanger 112 may be called a condenser, and the indoor heat exchanger 131 may be called an evaporator. When the multi-air conditioning system 10 operates in a heating operation mode, the outdoor heat exchanger 112 may be called an evaporator, and the indoor heat exchanger 131 may be called a condenser. Furthermore, the pressure value at the exhaust port of the compressor 111 may be called an exhaust pressure value, or a condensing pressure value or a high-pressure pressure value. The pressure value at the intake port of the compressor 111 may be called an intake pressure value, or an evaporating pressure value or a low-pressure pressure value.

[0042] In some embodiments, the electronic expansion valve 12 has the function of expanding and reducing the pressure of the refrigerant flowing through the electronic expansion valve 12, thereby adjusting the flow rate of the refrigerant in the duct. When the opening degree (degree of opening) of the electronic expansion valve 12 is reduced, the refrigerant flow rate through the electronic expansion valve 12 is reduced. When the opening degree of the electronic expansion valve 12 is increased, the refrigerant flow rate through the electronic expansion valve 12 is increased. For example, when the multi-air conditioning system 10 is in a cooling operation mode, the multiple electronic expansion valves 12 are located on the refrigerant input side of the corresponding indoor units 13, and in this case, the multiple electronic expansion valves 12 control the refrigerant input amount of the corresponding indoor units 13. When the multi-air conditioning system 10 is in a heating operation mode, the multiple electronic expansion valves 12 are located on the refrigerant output side of the corresponding indoor units 13, and in this case, the multiple electronic expansion valves 12 control the refrigerant output amount of the corresponding indoor units 13.

[0043] As explained in the background art, in the case of an electronic expansion valve failure in a multi-air conditioning system 10, a professional maintenance technician must observe and analyze the electronic expansion valves 12 in the entire multi-air conditioning system 10, identify the faulty electronic expansion valve, and repair or replace the faulty electronic expansion valve to eliminate the failure of the electronic expansion valve in the multi-air conditioning system 10. As a result, the multi-air conditioning system 10 in the related art has low efficiency in identifying the fault location and a low degree of automation in the efficiency of fault location.

[0044] In response to the above-mentioned technical problems present in the related art, the inventors of the present disclosure have conducted research and discovered the following: When multiple electronic expansion valves 12 operate normally, the temperature difference between the temperature value of the liquid pipe 16 connected to one of the indoor units and the temperature value of the gas pipe 15 connected to that indoor unit is smaller than a certain threshold. When a malfunction of an electronic expansion valve occurs in the multi-air conditioning system 10 (for example, when an electronic expansion valve 12 no longer opens normally), the temperature difference between the temperature value of the liquid pipe 16 connected to the indoor unit 13 corresponding to the malfunctioning electronic expansion valve and the temperature value of the gas pipe 15 connected to that indoor unit is larger than the certain threshold. Therefore, whether a malfunction has occurred in multiple electronic expansion valves 12 may be determined by monitoring characteristic data (for example, the temperature values ​​of the liquid pipe 16 and gas pipe 15 connected to the same indoor unit 13) during operation of multiple indoor units 13.

[0045] Based on the above technical idea, several embodiments of the present disclosure provide a multi-air conditioning system 10. When an electronic expansion valve failure occurs in the multi-air conditioning system 10, the controller 14 in the multi-air conditioning system 10 may acquire characteristic data of the multiple indoor units 13 in the multi-air conditioning system 10, identify an abnormal indoor unit among the multiple indoor units 13 according to the characteristic data, determine the electronic expansion valve 12 corresponding to the abnormal indoor unit as the faulty electronic expansion valve, and complete the identification of the faulty electronic expansion valve. In this way, after an electronic expansion valve failure occurs in the multi-air conditioning system 10, the faulty electronic expansion valve can be identified without the need for a professional maintenance technician to manually identify the multiple electronic expansion valves 12 based on personal experience, thereby improving the degree of automation of failure location identification performed in the multi-air conditioning system 10 and improving the efficiency of locating the faulty electronic expansion valve in the multi-air conditioning system 10.

[0046] The process by which the controller 14 performs the fault location method will now be described by way of example, mainly with reference to the drawings.

[0047] In some embodiments, as shown in FIG. 6, the controller 14 is configured to perform the following steps S101 to S103.

[0048] S101: When a failure occurs in an electronic expansion valve of the multi-air conditioning system 10, characteristic data of each indoor unit among the plurality of indoor units 13 is acquired.

[0049] The characteristic data of each indoor unit includes the temperature difference between the temperature value of the liquid pipe 16 connected to the indoor unit and the temperature value of the gas pipe 15 connected to the indoor unit.

[0050] For example, the temperature difference may be a value obtained by subtracting the temperature value of the gas pipe 15 connected to the indoor unit from the temperature value of the liquid pipe 16 connected to the indoor unit. Alternatively, the temperature difference may be a value obtained by subtracting the temperature value of the liquid pipe 16 connected to the indoor unit from the temperature value of the gas pipe 15 connected to the indoor unit.

[0051] In some embodiments, the user may instruct the multi-air conditioning system 10 to turn on the fault detection function and fault location identification function via a device that has established a communication connection with the controller 14, causing the controller 14 to start detecting whether a fault has occurred in an electronic expansion valve and identify the faulty electronic expansion valve. Note that the method by which the controller 14 detects whether a fault has occurred in an electronic expansion valve will be described in the following embodiments.

[0052] Taking the device as an example where the device is a terminal device 300, as shown in Figures 7 and 8, the management interface 301 of the terminal device 300 includes a second button 304 for turning on or off the fault detection function of the multi-air conditioning system 10, and a third button 306 for turning on or off the fault location identification function of the multi-air conditioning system 10. When the fault detection function (or fault location identification function) of the multi-air conditioning system 10 is in the off state, the second button 304 (or the third button 306) is in a first display state 3041 (or a third display state 3061). When the fault detection function (or fault location identification function) of the multi-air conditioning system 10 is in the on state, the second button 304 (or the third button 306) is in a second display state 3042 (or a fourth display state 3062). For example, when the second button 304 is in the first display state 3041, in response to a user clicking the second button 304, the terminal device 300 may instruct the controller 14 to turn on the fault detection function by sending a command to the controller 14. After the fault detection function is turned on, the controller 14 may instruct the terminal device 300 to switch the display state of the second button 304 to the second display state 3042 by sending a command to the terminal device 300.

[0053] In some examples, if a fault in the electronic expansion valve is detected in the multi-air conditioning system 10, the controller 14 may send a command to the terminal device 300 via the communication device 109, causing the terminal device 300 to display a prompt box 305 as shown in FIG. 8 . Exemplarily, the prompt message in the prompt box 305 may be, "A fault in the electronic expansion valve has been detected in the multi-air conditioning system. Do you want to perform fault location immediately?", presenting the user with the option of turning on the fault location function. For example, in response to the user clicking the "OK" button in the prompt box 305, the terminal device 300 may send a command to the controller 14 to instruct the controller 14 to turn on the fault location function. After the fault location function is turned on, the controller 14 may send a command to the terminal device 300 to instruct the terminal device 300 to switch the display state of the third button 306 from the third display state 3061 to the fourth display state 3062.

[0054] In some other embodiments, the multi-air conditioning system 10 may automatically turn on the fault detection and fault location functions after a set period of operation, which may be preset by the user or manufacturer.

[0055] After the fault location function is turned on, the controller 14 starts acquiring characteristic data of multiple indoor units.

[0056] In some examples, as shown in FIG. 2, the multi-air conditioning system 10 includes a plurality of first temperature sensors 101 and a plurality of second temperature sensors 102, which are connected to a plurality of indoor units 13, respectively. Gas pipe 15 and the temperature values ​​of the plurality of indoor units 13 Liquid pipe 16As shown in Fig. 9, the plurality of first temperature sensors 101 correspond to the indoor heat exchangers 131 of the plurality of indoor units 13, and are provided in gas pipes 15 connected to the corresponding indoor heat exchangers 131, thereby detecting the temperature value of the corresponding gas pipes 15. The plurality of second temperature sensors 102 correspond to the indoor heat exchangers 131 of the plurality of indoor units 13, and are provided in liquid pipes 16 to which the corresponding indoor heat exchangers 131 are connected, thereby detecting the temperature value of the corresponding liquid pipes 16. The controller 14 is coupled to the plurality of first temperature sensors 101 and the plurality of second temperature sensors 102, and is connected to each indoor unit of the plurality of indoor units 13. Gas pipe 15 The temperature value of the indoor unit and the connected Liquid pipe 16 Get the temperature difference between the temperature values ​​of

[0057] In some embodiments, the characteristic data of each indoor unit may further include at least one of the exhaust pressure value of the compressor 111, the intake pressure value of the compressor 111, the exhaust temperature value of the compressor 111, the intake temperature value of the compressor 111, the discharge temperature value of the air outlet 133 of the indoor unit, or the return air temperature value of the return air outlet 134 of the indoor unit. In these embodiments, the multi-air conditioning system 10 detects the above-mentioned characteristic data by including a plurality of other temperature sensors and a plurality of pressure sensors in addition to the above-mentioned plurality of first temperature sensors 101 and plurality of second temperature sensors 102.

[0058] 2, the multi-air conditioning system 10 includes a first pressure sensor 107 and a second pressure sensor 108. The first pressure sensor 107 is provided at an exhaust port of the compressor 111 and is configured to detect a discharge pressure value of the compressor 111. The second pressure sensor 108 is provided at an intake port of the compressor 111 and is configured to detect an intake pressure value of the compressor 111. The controller 14 is coupled to the first pressure sensor 107 and the second pressure sensor 108 to obtain the exhaust pressure value and the intake pressure value.

[0059] In some examples, the multi-air conditioning system 10 includes a third temperature sensor 103, a fourth temperature sensor 104, a plurality of fifth temperature sensors 105, and a plurality of sixth temperature sensors 106. The third temperature sensor 103 is provided at an exhaust port of the compressor 111 and is configured to detect the exhaust temperature value of the compressor 111. The fourth temperature sensor 104 is provided at an intake port of the compressor 111 and is configured to detect the intake temperature value of the compressor 111. The plurality of fifth temperature sensors 105 correspond to the plurality of indoor units 13 and are provided at the air outlets 133 of the corresponding indoor units 13 to detect the discharge temperature value of the air outlets 133. The plurality of sixth temperature sensors 106 correspond to the plurality of indoor units 13 and are provided at the return air outlets 134 of the corresponding indoor units 13 to detect the return air temperature value of the return air outlet 134. The controller 14 is coupled to a third temperature sensor 103, a fourth temperature sensor 104, a plurality of fifth temperature sensors 105, and a plurality of sixth temperature sensors 106 to obtain exhaust air temperature values, intake air temperature values, blow-out temperature values, and return air temperature values.

[0060] S102: Determine an abnormal indoor unit among the plurality of indoor units 13 according to the characteristic data of each indoor unit among the plurality of indoor units 13.

[0061] The abnormal indoor unit mentioned above refers to an indoor unit 13 that is in an abnormal operating state, that is, an indoor unit 13 whose corresponding electronic expansion valve 12 is a faulty electronic expansion valve. Similarly, if the electronic expansion valve 12 corresponding to an indoor unit 13 is not a faulty electronic expansion valve, the indoor unit 13 is understood to be in a normal operating state.

[0062] A failure of an electronic expansion valve in the multi-air conditioning system 10 causes a change in the characteristic data of multiple indoor units 13. For example, when the multi-air conditioning system 10 is operating normally, the temperature difference between the temperature value of the liquid pipe 16 connected to one of the indoor units and the temperature value of the gas pipe 15 connected to that indoor unit is smaller than a certain threshold. If a certain electronic expansion valve 12 fails and prevents the electronic expansion valve 12 from opening normally, the amount of refrigerant in the indoor unit 13 corresponding to that electronic expansion valve 12 will be insufficient, preventing the indoor unit 13 from evaporating or condensing refrigerant normally. As a result, the temperature difference between the temperature value of the liquid pipe 16 connected to that indoor unit 13 and the temperature value of the gas pipe 15 connected to that indoor unit 13 will increase until it exceeds the certain threshold. Therefore, the controller 14 may determine whether a certain indoor unit is abnormal based on the characteristic data of that indoor unit.

[0063] Furthermore, because the components in the multi-air conditioning system 10 cooperate with each other to form the whole, if there is an abnormal indoor unit in the multi-air conditioning system 10, the operating data of the other components in the entire multi-air conditioning system 10 will also change. Therefore, any of the operating data such as the exhaust pressure value, intake pressure value, exhaust temperature value, intake temperature value, indoor unit blowout temperature value, and indoor unit return air temperature value may be treated as characteristic data of the indoor unit.

[0064] In some embodiments, the controller 14 may obtain a fault identification result by inputting characteristic data of each indoor unit among the plurality of indoor units into a fault identification model based on a deep neural network (DNN). The deep neural network (DNN) is a technology in the field of machine learning (ML). Because the fault identification model based on the deep neural network (DNN) can output multiple labels, the fault identification result can indicate whether each indoor unit among the plurality of indoor units 13 is an abnormal indoor unit. In this way, the controller 14 may determine which indoor unit among the plurality of indoor units 13 is abnormal based on the fault identification result.

[0065] In some embodiments, a fault identification model based on a deep neural network (DNN) is pre-stored in the memory of the controller 14. In some examples, the controller 14 or another device having processing capability may obtain a trained fault identification model based on a deep neural network (DNN) by training the fault identification model according to a historical feature data set when the plurality of indoor units 13 are in a normal operating state and a historical feature data set when the plurality of indoor units 13 are in an abnormal operating state, and store the trained fault identification model in the memory of the controller 14.

[0066] S103: The electronic expansion valve corresponding to the abnormal indoor unit is determined to be the faulty electronic expansion valve.

[0067] In some embodiments, the controller 14 may determine one or more abnormal indoor units from the plurality of indoor units 13, and thereby determine one or more electronic expansion valves 12 corresponding to the one or more abnormal indoor units as faulty electronic expansion valves.

[0068] The multi-air conditioning system 10 provided according to the embodiments of the present disclosure can acquire characteristic data of the multiple indoor units 13 in the multi-air conditioning system 10 in the event of an electronic expansion valve failure in the multi-air conditioning system 10, and can thereby determine which of the multiple indoor units 13 is abnormal according to the characteristic data of the multiple indoor units 13, and determine the electronic expansion valve 12 corresponding to the abnormal indoor unit as the faulty electronic expansion valve. In this way, the faulty electronic expansion valve in the multi-air conditioning system 10 can be accurately identified without the need for a professional maintenance technician to spend a lot of time observing and analyzing the faulty electronic expansion valve based on personal experience, thereby improving the accuracy and degree of automation of locating the faulty electronic expansion valve in the multi-air conditioning system 10 and ultimately improving the efficiency of locating the fault in the multi-air conditioning system 10.

[0069] Hereinafter, mainly with reference to the drawings, an example will be described of a method by which the controller 14 detects whether or not a failure has occurred in the electronic expansion valve of the multi-air conditioning system 10. As shown in Fig. 10, the controller 14 may determine whether or not a failure has occurred in the electronic expansion valve of the multi-air conditioning system 10 by executing steps S201 to S203.

[0070] S201, the operation data of the multi-air conditioning system 10 is acquired.

[0071] The operating data is parameter information generated during operation of the multi-air conditioning system 10. The operating data includes, for example, at least one of the operating current value of the compressor 111, the exhaust pressure value of the compressor 111, the exhaust temperature value of the compressor 111, the blow-out temperature values ​​of the air outlets 133 of the multiple indoor units 13, and the return air temperature values ​​of the return air outlets 134 of the multiple indoor units 13.

[0072] In some embodiments, as described above, after the controller 14 turns on the fault detection function, the controller 14 may acquire operating data of the multi-air conditioning system 10 .

[0073] It should be noted that the above examples of characteristic data and operating data in the embodiments of the present disclosure are illustrative, and the characteristic data and operating data may further include other data related to the operation of the multi-air conditioning system 10, which will not be repeated here.

[0074] S202, determining whether a failure occurs in the electronic expansion valve of the multi-air conditioning system 10 according to the operating data.

[0075] In some embodiments, the controller 14 may obtain a fault diagnosis result by inputting the operating data of the multi-air conditioning system 10 into a fault diagnosis model based on a support vector machine (SVM). The fault diagnosis result indicates whether an electronic expansion valve failure has occurred in the multi-air conditioning system 10. In this manner, the controller 14 may determine whether an electronic expansion valve failure has occurred in the multi-air conditioning system 10 according to the fault diagnosis result. For example, a support vector machine (SVM) is a broad-sense linear classifier that performs binary classification on data according to a supervised learning method. Due to the excellent performance of the support vector machine (SVM) in binary classification, a fault diagnosis model based on the support vector machine (SVM) can improve the accuracy of determining whether an electronic expansion valve failure has occurred in the multi-air conditioning system 10.

[0076] In some embodiments, a fault diagnosis model based on a support vector machine (SVM) is pre-stored in the memory of the controller 14. In some examples, the controller 14 or another device having processing capability may obtain a trained fault diagnosis model based on a support vector machine (SVM) by training the fault diagnosis model based on a support vector machine (SVM) according to a historical operating data set when no electronic expansion valve failure occurs in the multi-air conditioning system 10 and a historical operating data set when an electronic expansion valve failure occurs, and store the trained fault diagnosis model based on a support vector machine (SVM) in the memory of the controller 14.

[0077] In some embodiments, when the controller 14 determines that a failure of the electronic expansion valve has occurred in the multi-air conditioning system 10, the controller 14 executes steps S101 to S103 described above.

[0078] In some embodiments, if the controller 14 determines that the multi-air conditioning system 10 does not have an electronic expansion valve failure, the controller 14 executes the following step S203.

[0079] S203, sending a first prompt message;

[0080] The first prompt message is used to indicate that the multi-air conditioning system 10 does not have an electronic expansion valve failure.

[0081] For example, if the indoor units 13 are equipped with displays, the first prompt message may be information such as text or images displayed on the displays. Alternatively, if the indoor units 13 are equipped with speakers, the first prompt message may be audio information emitted through the speakers. Alternatively, if the multi-air conditioning system 10 is communicatively connected to a user's terminal device, the first prompt message may be information such as text, images, audio, or vibration transmitted through the terminal device. Note that the first prompt message may also be information in other forms, such as lighting information, and the present disclosure is not limited thereto.

[0082] In some embodiments, after the controller 14 determines the faulty electronic expansion valve, i.e., after the above step S103, the controller 14 may send a second prompt message to notify the faulty electronic expansion valve. of breakdown Level In some examples, as shown in Fig. 11, the controller 14 issues the second prompt message by executing the following steps S301 to S303.

[0083] S301: after determining the faulty electronic expansion valve, obtain the opening degree of the faulty electronic expansion valve;

[0084] As described above, the controller 14 adjusts the opening of the electronic expansion valve 12 to adjust the amount of refrigerant input or output to the indoor unit 13 corresponding to that electronic expansion valve 12. Therefore, the abnormal operation of an abnormal indoor unit is usually caused by an abnormal opening of the electronic expansion valve corresponding to that abnormal indoor unit. Furthermore, the opening of that electronic expansion valve can indicate the degree of failure of that electronic expansion valve.

[0085] S302, determining the failure level of the failed electronic expansion valve according to the opening degree of the failed electronic expansion valve.

[0086] In some embodiments, the controller 14 may determine the failure level of the faulty electronic expansion valve according to a first correspondence relationship between the opening degree of the faulty electronic expansion valve and the failure level. The first correspondence relationship may be pre-stored in the memory of the controller 14.

[0087] The normal opening degrees of the electronic expansion valves 12 are related to the operating state of the multi-air conditioning system 10.

[0088] In some examples, when the multiple air conditioning system 10 is in a heating operation state, the normal opening degree of the multiple electronic expansion valves 12 should be 100% (i.e., the multiple electronic expansion valves 12 should be fully open). In such examples, the smaller the opening degree of the faulty electronic expansion valve, the higher the failure level of the faulty electronic expansion valve. For example, when the multiple air conditioning system 10 is in a heating operation state, a first correspondence relationship between the opening degree and the failure level of the faulty electronic expansion valve is shown in Table 1 below. [Table 1]

[0089] Referring to Table 1, if the degree of opening of the faulty electronic expansion valve is within the range of 75% to 99%, the controller 14 may determine that the failure level of the faulty electronic expansion valve is Level 1. If the degree of opening of the faulty electronic expansion valve is within the range of 50% to 74%, the controller 14 may determine that the failure level of the faulty electronic expansion valve is Level 2. If the degree of opening of the faulty electronic expansion valve is within the range of 24% to 49%, the controller 14 may determine that the failure level of the faulty electronic expansion valve is Level 3. If the degree of opening of the faulty electronic expansion valve is 23% or less, the controller 14 may determine that the failure level of the faulty electronic expansion valve is Level 4. Note that the failure levels of the faulty electronic expansion valve increase in order from "Level 1" to "Level 2," "Level 3," and "Level 4," and the urgency of inspection and repair of the faulty electronic expansion valve also increases in order.

[0090] In some other examples, when the multi-air conditioning system 10 is in a cooling operation state, the normal opening degrees of the multiple electronic expansion valves 12 should be 12% to 13%. In these examples, if the opening degree of the faulty electronic expansion valve is greater than 13%, the greater the opening degree of the faulty electronic expansion valve, the higher the failure level of the faulty electronic expansion valve, and therefore the greater the need to inspect and repair the faulty electronic expansion valve. For example, when the multi-air conditioning system 10 is in a cooling operation state, a first correspondence relationship between the opening degree and the failure level of the faulty electronic expansion valve is shown in Table 2 below. [Table 2]

[0091] Referring to Table 2, if the opening degree of the faulty electronic expansion valve is within the range of 75% to 100%, the controller 14 may determine that the failure level of the faulty electronic expansion valve is level 4. If the opening degree of the faulty electronic expansion valve is within the range of 50% to 74%, the controller 14 may determine that the failure level of the faulty electronic expansion valve is level 3. If the opening degree of the faulty electronic expansion valve is within the range of 25% to 49%, the controller 14 may determine that the failure level of the faulty electronic expansion valve is level 2. If the opening degree of the faulty electronic expansion valve is within the range of 14% to 24% or is 12% or less, the controller 14 may determine that the failure level of the faulty electronic expansion valve is level 1.

[0092] S303, sending a second prompt message.

[0093] The second prompt message is used to indicate the fault level of the faulty electronic expansion valve.

[0094] In some embodiments, similar to the manner in which the first prompt message is sent in step S203 above, the controller 14 may send the second prompt message via a display, speaker, terminal device, etc. of the indoor unit 13 (e.g., the abnormal indoor unit). Illustratively, taking the example of a faulty electronic expansion valve whose fault level is level 4 and whose number is 001, as shown in FIG. 12 , the second prompt message may be text information such as, "The electronic expansion valve whose number is 001 has experienced a serious fault and it is recommended that you inspect and repair it immediately!"

[0095] In the above embodiment, after identifying the faulty electronic expansion valve in the multi-air conditioning system 10, the multi-air conditioning system 10 determines the fault level of the faulty electronic expansion valve according to the first correspondence between the opening degree and fault level of the faulty electronic expansion valve, and sends a second prompt message corresponding to the fault level of the faulty electronic expansion valve, thereby prompting the user to reasonably arrange inspection and repair operations for the faulty electronic expansion valve according to the fault level of the faulty electronic expansion valve, and avoiding a reduction in the cooling / heating effect or heating effect of the multi-air conditioning system 10 due to the failure of the electronic expansion valve.

[0096] Some embodiments of the present disclosure further provide a fault location method for a multi-air conditioning system. The multi-air conditioning system may be, for example, the above-described multi-air conditioning system 10. The method may include, for example, steps executed by the above-described controller 14. The beneficial effects of the method include at least the beneficial effects of the above-described multi-air conditioning system 10, which will not be repeated here.

[0097] Because the operating data of different models of multi-air conditioning systems differ, related technologies require collecting operating data of each model of multi-air conditioning system in normal operating conditions and operating data in abnormal operating conditions (operating conditions in which a fault occurs) as sample sets to establish a fault diagnosis model. In this way, the fault diagnosis model can be applied to multiple types of multi-air conditioning systems, thereby improving the adaptability and accuracy of fault diagnosis for multi-air conditioning systems using the fault diagnosis model. However, because operating data of multiple models of multi-air conditioning systems must be collected, this method of training the fault diagnosis model requires an excessively long establishment cycle for the fault diagnosis model, which ultimately reduces the efficiency of fault diagnosis for multi-air conditioning systems using the fault diagnosis model.

[0098] Based on the above technical problems, some embodiments of the present disclosure further provide a fault diagnosis model training method for a multi-air conditioning system, which constructs a first feature offset space of the first multi-air conditioning system according to the values ​​of the operating data of the first multi-air conditioning system in the normal operating state (i.e., the normal values ​​of the operating data) and the values ​​of the operating data when various faults occur (i.e., the fault values ​​of the operating data), system Normal values ​​of the operating data and the second multi-air conditioning system The first characteristic offset space is corrected based on the difference between the normal value of the operating data of the second multi-air conditioning system and then, according to the second feature offset space and the normal values ​​of the operating data of the second multi-air conditioning system, obtain fault values ​​of the operating data of the second multi-air conditioning system, which can be used to establish a fault diagnosis model for the second multi-air conditioning system. In this way, in the process of establishing a fault diagnosis model for the second multi-air conditioning system, it is not necessary to collect operating data of the second multi-air conditioning system in various fault operating states under actual operating conditions, which makes it possible to shorten the establishment cycle of the fault diagnosis model and ultimately improve the efficiency of fault diagnosis for multi-air conditioning systems using the fault diagnosis model.

[0099] As shown in Fig. 13, the above-mentioned method for training a fault diagnosis model for a multi-air conditioning system includes the following steps S401 to S405. The method may be executed by the above-mentioned controller 14, or may be executed by another device with processing capabilities, such as a server. In the following embodiment, the method will be described by way of example, with the controller 14 executing the method. Furthermore, the structure and operating principles of the multi-air conditioning system can be referenced from the multi-air conditioning system 10 in the above-mentioned embodiment, and will not be repeated here.

[0100] S401, obtain normal values ​​and fault values ​​of a plurality of operation data of the first multi-air conditioning system.

[0101] In some embodiments, the first multi-air conditioning system may be referred to as an experimental multi-air conditioning system, and the memory of the first multi-air conditioning system stores historical operating data generated when the first multi-air conditioning system operates under various operating conditions.

[0102] The above operating data includes, for example, the intake temperature value of the compressor 111, the exhaust temperature value of the compressor 111, the intake pressure value of the compressor 111, the exhaust pressure value of the compressor 111, the opening degree of the multiple electronic expansion valves 12, the operating current value of the compressor 111, the ambient temperature value where the outdoor unit 11 is located, the average value of the ambient temperature values ​​where the multiple indoor units are located, the intake superheat degree of the compressor 111, the exhaust superheat degree of the compressor 111, the operating temperature value of the outdoor unit 11, and the operating temperature values ​​of the multiple indoor units 13.

[0103] For example, the intake superheat degree refers to the difference between the intake temperature value of the compressor 111 and the saturation temperature of the refrigerant at the intake pressure value. The exhaust superheat degree refers to the difference between the exhaust temperature value of the compressor 111 and the saturation temperature of the refrigerant at the exhaust intake pressure value. The operating temperature value of the outdoor unit 11 may be, for example, the operating temperature value of the outdoor heat exchanger 112. The operating temperature value of an indoor unit 13 among the multiple indoor units 13 may be, for example, the operating temperature value of the indoor heat exchanger 131 of the indoor unit 13.

[0104] In some examples, the above steps may be performed as shown in FIG. S401 Specifically, this may be realized by the following steps S4011 and S4012.

[0105] S4011, acquiring historical operation data of the first multi-air conditioning system;

[0106] Here, the historical operating data includes normal operating data generated when the first multi-air conditioning system is in normal operating state during the historical period, and various fault operating data generated when various faults occur in the first multi-air conditioning system. Note that the present disclosure does not limit the length of the historical period.

[0107] S4012: Analyze the historical operating data, and determine normal values ​​of the multiple operating data of the first multi-air conditioning system when the first multi-air conditioning system is in a normal operating state and fault values ​​when a fault occurs in the first multi-air conditioning system.

[0108] Since the normal value of any of the multiple operating data is different from the fault value of the operating data, the controller 14 analyzes the historical operating data of the multi-air conditioning system, distinguishes between the multiple operating data generated when the multi-air conditioning system is operating normally and the multiple operating data generated when a fault occurs in the multi-air conditioning system, and thereby obtains the normal value and fault value of each operating data in the multiple operating data. For example, faults that may occur in multiple multi-air conditioning systems include refrigerant leakage, excess refrigerant involved in circulation, or abnormal opening of the electronic expansion valve 12.

[0109] For example, the controller 14 may analyze the historical operating data according to set value ranges corresponding to the plurality of operating data. If the value of any of the plurality of operating data is within the corresponding set value range, the value of the operating data is determined to be a normal value. If the value of any of the operating data is outside the corresponding set value range, the value of the operating data is determined to be a fault value. Here, the set value range may be preset by, for example, an employee or a manufacturer.

[0110] In addition, when different faults occur in the multi-air conditioning system, the fault values ​​of the plurality of operation data are usually also different. system When analyzing the historical operating data, the fault value of the first multi-air conditioning system may be associated with a fault that has occurred in the first multi-air conditioning system.

[0111] S402, determining a first feature offset space of the first multi-air conditioning system according to normal values ​​and fault values ​​of a plurality of operating data of the first multi-air conditioning system;

[0112] Since there is a deviation between the normal values ​​and fault values ​​of the plurality of operating data, a first feature offset space of the first multi-air conditioning system may be constructed according to the offset between the fault values ​​and normal values ​​of the plurality of operating data. The first feature offset space includes the offset of each operating data among the plurality of operating data of the first multi-air conditioning system.

[0113] In some embodiments, the space formed by the normal values ​​of the multiple operating data of the multiple air conditioning systems may be referred to as the feature space of the multiple air conditioning systems.

[0114] Illustratively, the first feature space of the first multi-air conditioning system may be expressed as, for example, the following matrix 1:

[0115] [Matrix 1] X=[x1x2... x n-1 x n ]

[0116] where x j is a column vector of driving data, where j ranges from 1 to n, and n is an integer greater than 1.

[0117] Illustratively, in a certain fault, the first feature offset space of the first multi-air conditioning system may be expressed as the following matrix 2:

[0118] [Matrix 2] Δxi=[Δxi1Δxi2... Δxi n-1 Δxi n ]

[0119] where Δxi j is the offset of a certain operational data, and the value of j is from 1 to n, where n is an integer greater than 1.

[0120] S403, correcting the first feature offset space based on the difference between the normal values ​​of the plurality of operating data of the first multi-air conditioning system and the normal values ​​of the plurality of operating data of the second multi-air conditioning system, and obtaining a second feature offset space of the second multi-air conditioning system.

[0121] If there is a difference between the normal values ​​of the plurality of operating data of the first multi-air conditioning system and the normal values ​​of the plurality of operating data of the second multi-air conditioning system, it is considered that there is a difference between the models of the first multi-air conditioning system and the second multi-air conditioning system. For example, the model of the first multi-air conditioning system is a cooling-only type, and the model of the second multi-air conditioning system is a heat pump type.

[0122] In addition, since the thermophysical mechanisms that cause failures in various types of multi-air conditioning systems are similar, different models of multi-air conditioning systems usually have similar feature offset spaces, so the second feature offset space of the second multi-air conditioning system may be obtained by correcting the first feature offset space based on the difference between the model of the first multi-air conditioning system and the model of the second multi-air conditioning system.

[0123] For example, the memory of the controller 14 may pre-store a second correspondence relationship between the model of the multi-air conditioning system and a correction coefficient. The correction coefficient may be, for example, a ratio between the feature offset space of the other multi-air conditioning system and the first feature offset space of the first multi-air conditioning system. After determining the difference between the normal values ​​of the plurality of operating data of the first multi-air conditioning system and the normal values ​​of the plurality of operating data of the second multi-air conditioning system, the controller 14 may determine the model of the second multi-air conditioning system according to the model of the first multi-air conditioning system, and thereby determine a correction coefficient for the first feature offset space of the second feature offset space according to the model of the second multi-air conditioning system and the second correspondence relationship. Finally, the controller 14 may correct the first feature offset space according to the correction coefficient to obtain the second feature offset space. For example, the controller 14 may obtain the second feature offset space by multiplying the first feature offset space by the correction coefficient.

[0124] For example, the second correspondence relationship may be obtained through an experiment or a simulation.

[0125] S404, determining fault values ​​of the plurality of operating data of the second multi-air conditioning system according to the normal values ​​and the second feature offset space of the plurality of operating data of the second multi-air conditioning system.

[0126] In some embodiments, the controller 14 may analyze historical operating data of the second multi-air conditioning system under normal operating conditions during a historical period, determine normal values ​​of the plurality of operating data of the second multi-air conditioning system, and thereby obtain fault values ​​of the plurality of operating data of the second multi-air conditioning system according to the normal values ​​of the plurality of operating data of the second multi-air conditioning system and the second feature offset space.

[0127] For example, the controller 14 may obtain fault values ​​of the plurality of operating data of the second multi-air conditioning system by adding the normal values ​​of the plurality of operating data of the second multi-air conditioning system and the second feature offset space.

[0128] S405, training a fault diagnosis model based on the normal values ​​and fault values ​​of the plurality of operation data of the second multi-air conditioning system.

[0129] In some embodiments, the controller 14 may train a fault diagnosis model using a sample set of normal and fault values ​​of multiple operating data of the second multi-air conditioning system.

[0130] In some examples, the above fault diagnosis model is based on a one-dimensional convolutional neural network (CNN). Here, the convolutional neural network is a multilayer perceptron. The operating principle of a convolutional neural network is mainly related to three basic concepts: local receptive fields, pooling, and shared weights. A one-dimensional convolutional neural network is a convolutional neural network with one-dimensional input data. Because it has classification capabilities, it can be used for fault detection and diagnosis of multi-air conditioning systems. Fault detection is the process of detecting whether a fault has occurred in the system. Fault diagnosis involves obtaining detailed information about the fault, such as the fault type and severity.

[0131] In some embodiments, as shown in FIG. 15, the fault diagnosis model may include an input layer, a convolutional layer, a pooling layer, a fully connected layer, and an output layer.

[0132] A convolutional layer is an important structure in a convolutional neural network. Its function is to convolve input data from the input layer with a set of filters to form and output a set of feature maps of the original input data. When a filter convolves the input data of the convolutional layer, a local receptive field moves repeatedly over the input data. The data in the local receptive field is dot-producted with the weight matrix of the filter, and a fixed offset value is added to form an output matrix. The output matrix is ​​a feature map of the original input data. The filters have a shared weight characteristic for the input convolution operation. That is, the weight matrix and offset used by a filter for the data in its local receptive field are the same.

[0133] For example, an activation function (e.g., a ReLU activation function) is applied to the output of a convolution layer to perform nonlinearity, thereby improving the nonlinear fitting ability of the convolution layer. For example, the ReLU activation function may be expressed as the following equation (1):

[0134] [Formula (1)] JPEG0007809220000003.jpg1755

[0135] Output a of the ith convolutional layer i may be expressed as the following equation (2):

[0136] [Formula (2)] JPEG0007809220000004.jpg1076

[0137] where: JPEG0007809220000005.jpg88 is the convolution operation, σ is the ReLU activation function, and b i is the offset value, and w i is the weight matrix.

[0138] The output of the convolutional layer may be fed to a pooling layer, which divides the input data into multiple pooling regions and aggregates each pooling region to form an output, which is a generalized and simplified feature map of its input.

[0139] The fully connected layer plays the role of a "classifier" in the entire convolutional neural network and can map distributed features into the sample labeling space. That is, the fully connected layer is used to integrate the outputs of the pooling layers to obtain the output of the fully connected layer, and then input the output of the fully connected layer into the output layer.

[0140] For example, a classification network (softmax) layer may be used as the output layer of a convolutional neural network. In this way, the classification result of the input data of the softmax layer can be determined according to the dimension where the maximum value of the probability vector at the output of the softmax layer is located.

[0141] A method for training a fault diagnosis model for a multiple air conditioning system provided by an embodiment of the present disclosure includes: obtaining a first feature offset space used to characterize the offset between the normal values ​​and the fault values ​​of a plurality of operating data of the first multiple air conditioning system according to normal values ​​and fault values ​​of a plurality of operating data of the first multiple air conditioning system; correcting the first feature offset space according to a difference between the model of the second multiple air conditioning system and the model of the first multiple air conditioning system to obtain a second feature offset space of the second multiple air conditioning system; thereby obtaining fault values ​​of the plurality of operating data of the second multiple air conditioning system according to the second feature offset space and the normal values ​​of the plurality of operating data of the second multiple air conditioning system; and training a fault diagnosis model using the fault values ​​and normal values ​​of the plurality of operating data of the second multiple air conditioning system to obtain a fault diagnosis model applicable to the second multiple air conditioning system after training. In this way, it is possible to establish a fault diagnosis model for the second multi-air conditioning system without the need to collect multiple operating data fault values ​​when various faults occur in the second multi-air conditioning system under actual operating conditions, thereby shortening the establishment cycle of the fault diagnosis model and ultimately improving the efficiency of fault diagnosis for the second multi-air conditioning system using the fault diagnosis model.

[0142] In some embodiments, as shown in FIG. 16, the above step S405 may be specifically realized by the following steps S501 and S502.

[0143] S501, determining at least one first operating data from the plurality of operating data of the second multi-air conditioning system according to normal values ​​and fault values ​​of the plurality of operating data of the second multi-air conditioning system;

[0144] In addition, the plurality of operating data of the second multi-air conditioning system may contain some redundant operating data that is not relevant to training the fault diagnosis model, and therefore, in order to improve the training speed of the fault diagnosis model, data filtering is required for the plurality of operating data. For example, the at least one first operating data is operating data that is shared by different types of multi-air conditioning systems and is highly relevant to training the fault diagnosis model.

[0145] For example, the controller 14 may calculate the difference between the normal value and the fault value of each of the plurality of operating data of the second multi-air conditioning system, and select the operating data corresponding to a difference greater than a set threshold value from the plurality of differences as the alternative operating data, and then extract the operating data shared by at least one of the various models of the multi-air conditioning system from the alternative operating data as the first operating data. Here, the set threshold value may be preset by an employee or a manufacturer.

[0146] In addition, the larger the difference between the normal value and the fault value of a certain operation data, the more likely the operation data is to reflect that a fault has occurred in the second multi-air conditioning system. Therefore, the operation data is considered to be faulty. diagnosis The first operational data for training the model is the failure data after training. diagnosis Model-specific failures diagnosis This is advantageous in improving the accuracy of the

[0147] S502, training a fault diagnosis model according to normal values ​​and fault values ​​of at least one first operation data of the second multi-air conditioning system;

[0148] The method for training a fault diagnosis model for a multi-air conditioning system in the above embodiment involves filtering a plurality of pieces of operating data of a second multi-air conditioning system to extract at least one first piece of operating data from the plurality of pieces of operating data of the second multi-air conditioning system, and then training a fault diagnosis model using the normal values ​​and fault values ​​of the at least one first piece of operating data. Because the training sample set for the fault diagnosis model is simplified, the training speed of the fault diagnosis model can be improved, and thus the efficiency of fault diagnosis for multi-air conditioning systems using the fault diagnosis model can be improved.

[0149] In some embodiments, as shown in FIG. 17, step S502 may be specifically realized by the following steps S601 to S603.

[0150] S601, training an autoencoder model based on normal values ​​and fault values ​​of at least one first operating data of a second multi-air conditioning system;

[0151] An autoencoder model is an unsupervised learning model. Illustratively, as shown in FIG. 18, the autoencoder includes an encoder and a decoder. The encoder is configured to encode high-dimensional input data (i.e., original feature data) into low-dimensional latent variables (i.e., compressed data), thereby allowing the autoencoder model to learn data with a higher information content. The decoder is configured to restore the low-dimensional latent variables to the original dimensions of the high-dimensional input data. The process in which the original feature data is encoded by the encoder and decoded by the decoder is a data reconstruction process of the original feature data. Illustratively, the process of training the autoencoder model may include the following steps 1 to 4.

[0152] Step 1: The controller 14 calculates normal and fault values ​​of at least one first operational data into a feature vector matrix X={X1, X2, ..., X n} and input the feature vector matrix into the autoencoder model.

[0153] where X1,X2,…,X n represents the normal value and the fault value of the at least one first operational data.

[0154] Step 2: The encoder compresses the original feature data into the hidden layer using the method shown in equation (3) below.

[0155] [Formula (3)] JPEG0007809220000006.jpg1272

[0156] where σ e is a Sigmoid function, X is the original feature dataset, and W e is the encoder weight parameter, and B e is the encoder deviation, and H is the mapping of the original feature data in the hidden layer.

[0157] Step 3: The decoder reconstructs the original feature data using the method shown in equation (4) below, and outputs the reconstructed feature data.

[0158] [Formula (4)] JPEG0007809220000007.jpg1156

[0159] where σ d is a sigmoid function, and W d is the weight parameter of the decoder, and B d is the deviation of the decoder, JPEG0007809220000008.jpg107 is the original feature data after reconstruction set is.

[0160] Step 4: Train an autoencoder model to reduce the reconstruction error and obtain the corresponding W e , W d , and I get JPEG0007809220000009.jpg107.

[0161] For example, the calculation formula for the reconstruction error is as shown in the following formula (5).

[0162] [Formula (5)] JPEG0007809220000010.jpg14126

[0163] where: JPEG0007809220000011.jpg920 is the softmax reconstruction error, and X i is the original feature data, JPEG0007809220000012.jpg129 is the reconstructed feature data.

[0164] S602: Inputting the normal values ​​and fault values ​​of at least one first operating data of the second multi-air conditioning system into the trained autoencoder model to obtain the data reconstructed normal values ​​and data reconstructed fault values ​​of at least one first operating data of the second multi-air conditioning system.

[0165] S603, training a fault diagnosis model based on the data-reconstructed normal value and the data-reconstructed fault value.

[0166] In the above embodiment, the fault diagnosis model training method for a multi-air conditioning system uses an autoencoder to reconstruct the normal and fault values ​​of at least one first operation data of the second multi-air conditioning system, thereby reducing the data noise (i.e., random errors in the data due to measurement or other reasons) of the normal and fault values ​​of the at least one first operation data, and thereby detecting the faults among the normal and fault values ​​of the at least one first operation data. diagnosis Remove misleading data for model training and thus the fault diagnosis Model-based faults diagnosis Improve accuracy.

[0167] Those skilled in the art will appreciate that the scope of the disclosure of the present invention is not limited to the particular examples described above, and that modifications and substitutions may be made to specific elements of the examples without departing from the spirit of the present application. The scope of the disclosure is limited by the claims.

Claims

1. A multi-air conditioning system, an outdoor unit including a compressor; a plurality of indoor units, each of which is connected to a corresponding gas pipe and a corresponding liquid pipe, thereby communicating with the outdoor unit via the gas pipe and the liquid pipe, and each of which includes an air outlet and a return air outlet; a plurality of electronic expansion valves corresponding to the plurality of indoor units, the electronic expansion valves being provided in the liquid pipes to which the corresponding indoor units are connected, and configured to control the refrigerant output amount or the refrigerant input amount of the corresponding indoor units; A controller; Equipped with The controller acquiring operating data of the multi-air conditioning system, the operating data including at least one of an operating current value of the compressor, an exhaust pressure value of the compressor, an exhaust temperature value of the compressor, an outlet temperature value of the outlets of the plurality of indoor units, and a return air temperature value of the return air outlets of the plurality of indoor units; determining whether a failure has occurred in the electronic expansion valve of the multi-air conditioning system according to the operating data; When a failure occurs in an electronic expansion valve of the multi-air conditioning system, characteristic data of each indoor unit among the plurality of indoor units is acquired, and the characteristic data of each indoor unit includes a temperature difference between a temperature value of the liquid pipe connected to the indoor unit and a temperature value of the gas pipe connected to the indoor unit; determining an abnormal indoor unit among the plurality of indoor units according to the characteristic data of each indoor unit among the plurality of indoor units; and determining the electronic expansion valve corresponding to the abnormal indoor unit as a faulty electronic expansion valve. Multi-air conditioning system.

2. The controller the characteristic data of each indoor unit among the plurality of indoor units is input to a fault identification model based on a deep neural network DNN, and the abnormal indoor unit among the plurality of indoor units is determined according to the fault identification result of the fault identification model, The characteristic data of each indoor unit further includes at least one of a discharge pressure value of the compressor, an intake pressure value of the compressor, a discharge temperature value of the compressor, an intake temperature value of the compressor, an outlet temperature value of the air outlet of the indoor unit, and a return air temperature value of the return air outlet of the indoor unit. The multi-air conditioning system according to claim 1 .

3. The controller The method is configured to input the operating data into a fault diagnosis model based on a support vector machine (SVM), and determine whether a fault has occurred in the electronic expansion valve of the multi-air conditioning system according to a fault diagnosis result of the fault diagnosis model. A multi-air conditioning system according to claim 1 or 2.

4. The controller further When a failure of the electronic expansion valve does not occur in the multi-air conditioning system, a first prompt message is sent, and the first prompt message is used to indicate that a failure of the electronic expansion valve does not occur in the multi-air conditioning system. A multi-air conditioning system according to claim 1 or 2.

5. The controller further After determining the faulty electronic expansion valve, obtain the opening degree of the faulty electronic expansion valve; determining a failure level of the failed electronic expansion valve according to the opening degree of the failed electronic expansion valve; and transmitting a second prompt message, the second prompt message being used to indicate the fault level of the faulty electronic expansion valve. A multi-air conditioning system according to claim 1 or 2.

6. A method for identifying a fault location in a multi-air conditioning system, comprising: The multi-air conditioning system comprises: an outdoor unit including a compressor; a plurality of indoor units, each of which is connected to a corresponding gas pipe and a corresponding liquid pipe, thereby communicating with the outdoor unit via the gas pipe and the liquid pipe, and each of which includes an air outlet and a return air outlet; a plurality of electronic expansion valves corresponding to the plurality of indoor units, the electronic expansion valves being provided in the liquid pipes to which the corresponding indoor units are connected, and configured to control the refrigerant output amount or the refrigerant input amount of the corresponding indoor units; Equipped with The method comprises: a step of acquiring operation data of the multi-air conditioning system, the operation data including at least one of an operating current value of the compressor, an exhaust pressure value of the compressor, an exhaust temperature value of the compressor, an outlet temperature value of the outlets of the plurality of indoor units, and a return air temperature value of the return air port of the plurality of indoor units; determining whether a failure has occurred in the electronic expansion valve of the multi-air conditioning system according to the operation data; a step of acquiring characteristic data of each indoor unit among the plurality of indoor units when a failure occurs in an electronic expansion valve of the multi-air conditioning system, the characteristic data of each indoor unit including a temperature difference between a temperature value of the liquid pipe connected to the indoor unit and a temperature value of the gas pipe connected to the indoor unit; determining an abnormal indoor unit among the plurality of indoor units according to the characteristic data of each indoor unit among the plurality of indoor units; determining the electronic expansion valve corresponding to the abnormal indoor unit as a faulty electronic expansion valve; Including, Fault location method for multi-air conditioning system.

7. determining the abnormal indoor unit among the plurality of indoor units in accordance with the characteristic data of each indoor unit among the plurality of indoor units, inputting the feature data of each indoor unit among the plurality of indoor units into a fault identification model based on a deep neural network DNN, and determining the abnormal indoor unit among the plurality of indoor units according to the fault identification result of the fault identification model; The characteristic data of each indoor unit further includes at least one of a discharge pressure value of the compressor, an intake pressure value of the compressor, a discharge temperature value of the compressor, an intake temperature value of the compressor, an outlet temperature value of the air outlet of the indoor unit, and a return air temperature value of the return air outlet of the indoor unit. The method of claim 6.

8. The step of determining whether a failure has occurred in the electronic expansion valve of the multi-air conditioning system according to the operation data includes: inputting the operating data into a fault diagnosis model based on a support vector machine (SVM); and determining whether a fault has occurred in the electronic expansion valve of the multi-air conditioning system according to a fault diagnosis result of the fault diagnosis model; 8. The method according to claim 6 or 7.

9. The method further comprises: a step of transmitting a first prompt message when a failure of the electronic expansion valve does not occur in the multi-air conditioning system, the first prompt message being used to indicate that a failure of the electronic expansion valve does not occur in the multi-air conditioning system; 8. The method according to claim 6 or 7.

10. The method further comprises: After determining the faulty electronic expansion valve, acquiring the opening degree of the faulty electronic expansion valve; determining a failure level of the failed electronic expansion valve according to the opening degree of the failed electronic expansion valve; sending a second prompt message, the second prompt message being used to indicate the fault level of the faulty electronic expansion valve; Including, 8. The method according to claim 6 or 7.

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