CN115950045B - A multi-split air conditioning system and its control method - Google Patents

Abstract

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

Description

Multi-split air conditioning system and control method

Technical Field

The application relates to the technical field of air conditioners, in particular to a multi-split air conditioning system and a control method.

Background

With the development of economy and society, air conditioners are increasingly used in various places such as entertainment, home, work and the like. When air conditioners are needed to be used in a plurality of small areas in the same area, a multi-split air conditioning system consisting of one outdoor unit and a plurality of indoor units is often adopted to realize the regulation and control of the room temperature of the plurality of areas in consideration of the saving of electric energy.

However, the failure of the multi-split air conditioning system is unavoidable under long-time operation, and some of the reasons for the failure of the multi-split air conditioning system are gradual failures caused by the initial decrease of the performance of the multi-split air conditioning system, such as scaling of a heat exchanger, leakage of a refrigerant, abrasion of a compressor and the like. The faults are characterized by that parts are aged or worn, so that the faults are difficult to detect, and the specific problems of different faults when the faults occur are likely to be similar, so that the faults of the multi-split air conditioning system cannot be accurately identified.

Disclosure of Invention

The application provides a multi-split air conditioning system and a control method, which are used for improving the accuracy of fault identification in the multi-split air conditioning system.

In a first aspect, an embodiment of the present application provides a multi-split air conditioning system, including:

a refrigerant circulation circuit for circulating a refrigerant through the compressor, the condenser, the expansion valve, and the evaporator;

a controller that controls at least the compressor and the expansion valve;

One of the condenser and the evaporator is an outdoor heat exchanger, and the other is an indoor heat exchanger;

an outdoor unit including a compressor and an outdoor heat exchanger;

the indoor units comprise indoor heat exchangers;

the liquid pipe and the air pipe are used for connecting the outdoor unit and the indoor unit;

A controller configured to:

Under the condition that the multi-split air conditioning system is determined to be faulty, respectively inputting the characteristic data of the multi-split air conditioning system into a plurality of fault recognition models based on support vector machines (support vector machine, SVM) to obtain a plurality of fault recognition results, wherein one fault recognition model is used for recognizing one fault type, the fault recognition result output by one fault recognition model is used for indicating the probability that the multi-split air conditioning system is faulty corresponding to the fault recognition model, and the characteristic data of the multi-split air conditioning system are obtained after carrying out correlation analysis on the operation data of the multi-split air conditioning system;

and taking the fault type corresponding to the fault identification result with the highest probability in the plurality of fault identification results as the target fault type of the multi-online air conditioning system.

The technical scheme of the embodiment of the application at least has the advantages that aiming at the problem of lower fault recognition accuracy in the existing multi-split air conditioning system, after the multi-split air conditioning system is determined to have faults, the characteristic data of the multi-split air conditioning system are respectively input into a plurality of fault recognition models to obtain a plurality of recognition results, and because the characteristic data of the multi-split air conditioning system are obtained after correlation analysis is carried out based on the operation data of the multi-split air conditioning system, the influence of irrelevant data in the operation data on the fault recognition accuracy is eliminated, the fault recognition of the multi-split air conditioning system is carried out based on the characteristic data of the multi-split air conditioning system, the fault recognition accuracy of the multi-split air conditioning system is improved, and the fault type corresponding to the fault recognition result with the highest probability in the plurality of fault recognition results is used as the target fault type of the multi-split air conditioning system, so that the fault recognition accuracy of the multi-split air conditioning system is improved.

In some embodiments, after the controller is configured to take the fault type corresponding to the fault identification result with the highest probability in the multiple fault identification results as the target fault type of the multi-online air conditioning system, the controller is further configured to input the characteristic data of the multi-online air conditioning system into the fault level identification model corresponding to the target fault type to obtain the fault level identification result, and when the fault level indicated by the fault level identification result is above a preset fault level, alarm information is sent, wherein the alarm information comprises the target fault type and is used for prompting maintenance of the multi-online air conditioning system.

In some embodiments, the controller is further configured to obtain operation data of the multi-split air conditioning system before determining that the multi-split air conditioning system fails, perform correlation analysis on the operation data of the multi-split air conditioning system based on a maximum information coefficient method, extract feature data of the multi-split air conditioning system from the operation data of the multi-split air conditioning system, and determine whether the multi-split air conditioning system fails based on the feature data of the multi-split air conditioning system.

In some embodiments, the controller is configured to determine whether the multi-split air conditioning system fails based on the characteristic data of the multi-split air conditioning system, and specifically configured to input the characteristic data of the multi-split air conditioning system into a failure diagnosis model to obtain a failure diagnosis result, wherein the failure diagnosis result indicates whether the multi-split air conditioning system fails, and determine that the multi-split air conditioning system fails if the failure diagnosis result is yes.

In some embodiments, when the controller is configured to obtain the operation data of the multi-split air conditioning system, the controller is specifically configured to obtain the original operation data of the multi-split air conditioning system, and perform preprocessing on the original operation data of the multi-split air conditioning system to obtain the operation data of the multi-split air conditioning system, wherein the preprocessing comprises outlier rejection processing and smoothing processing.

In some embodiments, the characteristic data includes at least one of an operating frequency of the compressor, a discharge pressure value of the compressor, a suction temperature value of the compressor, a discharge superheat of the compressor, a suction superheat of the compressor, an outdoor fan speed, an opening degree of the expansion valve, an outlet air temperature of each indoor unit, a return air temperature of each indoor unit, a temperature value of the air pipe, and a temperature value of the liquid pipe.

In a second aspect, the embodiment of the application provides a control method of a multi-split air conditioning system, which comprises the steps of respectively inputting characteristic data of the multi-split air conditioning system into a plurality of fault recognition models based on support vector machines under the condition that the multi-split air conditioning system is determined to be faulty, and obtaining a plurality of fault recognition results, wherein one fault recognition model is used for recognizing one fault type, the fault recognition result output by the one fault recognition model is used for indicating the probability that the multi-split air conditioning system is faulty corresponding to the fault recognition model, the characteristic data of the multi-split air conditioning system are obtained after the operation data of the multi-split air conditioning system are subjected to correlation analysis, and the fault type corresponding to the fault recognition result with the highest probability in the plurality of fault recognition results is used as a target fault type of the multi-split air conditioning system.

In a third aspect, an embodiment of the present application provides a controller, including one or more processors and one or more memories, where the one or more memories are configured to store computer program codes, the computer program codes include computer instructions, and when the one or more processors execute the computer instructions, the controller executes the control method of any of the multiple on-line air conditioning systems provided in the second aspect.

In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, where the computer readable storage medium includes computer instructions, when the computer instructions run on a computer, cause the computer to execute the control method of any of the multiple on-line air conditioning systems provided in the second aspect.

In a fifth aspect, an embodiment of the present application provides a computer program product, which may be directly loaded into a memory and contains software codes, and the computer program product is loaded and executed by a computer, and can implement the control method of any multi-split air conditioning system provided in the second aspect.

It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer readable storage medium may be packaged together with the processor of the controller or may be packaged separately from the processor of the controller, which is not limited in the present application.

The advantageous effects described in the second to fifth aspects of the present application may be referred to for the advantageous effect analysis of the first aspect, and will not be described here again.

Drawings

The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate and do not limit the application.

Fig. 1 is a schematic structural diagram of a multi-split air conditioning system according to an embodiment of the present application;

fig. 2 is a hardware configuration block diagram of a multi-split air conditioning system according to an embodiment of the present application;

fig. 3 is an interaction schematic diagram of a controller and a terminal device of a multi-split air conditioning system according to an embodiment of the present application;

Fig. 4 is a schematic structural diagram of a controller according to an embodiment of the present application;

Fig. 5 is a schematic flow chart of a control method of a multi-split air conditioning system according to an embodiment of the present application;

fig. 6 is a schematic flow chart of another control method of a multi-split air conditioning system according to an embodiment of the present application;

FIG. 7 is a schematic diagram of the influence degree of a fault level on a multi-split air conditioning system according to an embodiment of the present application;

FIG. 8 is a schematic diagram of fault level warning of a multi-split air conditioning system according to an embodiment of the present application;

fig. 9 is a schematic flow chart of another control method of a multi-split air conditioning system according to an embodiment of the present application;

fig. 10 is a schematic flow chart of another control method of a multi-split air conditioning system according to an embodiment of the present application;

FIG. 11 is a schematic flow chart of another method for controlling a multi-split air conditioning system according to an embodiment of the present application;

fig. 12 is an overall flow chart of a control method of a multi-split air conditioning system according to an embodiment of the present application;

Fig. 13 is a schematic hardware structure of a controller according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

It should be noted that all directional indicators (such as up, down, left, right, front, and rear are used in the embodiments of the present application) are merely for explaining the relative positional relationship, movement conditions, and the like between the components in a certain specific posture (as shown in the drawings), and if the specific posture is changed, the directional indicators are changed accordingly.

The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.

In the description of the present application, it should be noted that, unless explicitly stated and limited otherwise, the terms "connected," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art. In addition, when describing a pipeline, the terms "connected" and "connected" as used herein have the meaning of conducting. The specific meaning is to be understood in conjunction with the context.

In embodiments of the application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

For ease of understanding, the basic concepts of some terms or techniques involved in embodiments of the present application are first briefly described and illustrated.

Refrigerant is a substance which is easy to absorb heat and become gas, and is easy to release heat and become liquid. In an air conditioning system, heat energy is transferred by evaporation and condensation of a refrigerant, thereby generating a freezing effect.

The expansion valve consists of a valve body and a coil and is used for throttling, reducing pressure and regulating flow. The expansion valve in the air conditioning system can throttle the medium-temperature high-pressure liquid refrigerant into low-temperature low-pressure wet steam, then the refrigerant absorbs heat in the evaporator to achieve the refrigerating effect, and the valve flow is controlled through the superheat degree change of the outlet of the evaporator.

After the multi-split air conditioning system is in failure at present, the multi-split air conditioning system can be diagnosed to be in failure, but specific problems represented by different failures may be similar, so that what failure happens to the multi-split air conditioning system can not be accurately identified, manual removal and analysis are required by staff, and the accuracy of failure identification to the multi-split air conditioning system is low.

The technical scheme of the embodiment of the application at least has the advantages that aiming at the problem of lower fault recognition accuracy in the existing multi-split air conditioning system, after the multi-split air conditioning system is determined to have faults, the characteristic data of the multi-split air conditioning system are respectively input into a plurality of fault recognition models to obtain a plurality of fault recognition results, and because the characteristic data of the multi-split air conditioning system are obtained after correlation analysis is carried out based on the operation data of the multi-split air conditioning system, the influence of irrelevant data in the operation data on the fault recognition accuracy is eliminated, the fault recognition accuracy of the multi-split air conditioning system is improved, and the fault type corresponding to the fault recognition result with the highest probability in the plurality of fault recognition results is used as the target fault type of the multi-split air conditioning system, so that the fault recognition accuracy of the multi-split air conditioning system is improved.

The following describes a multi-split air conditioning system provided for an embodiment of the present application with reference to the accompanying drawings.

Fig. 1 is a schematic structural diagram of a multi-split air conditioning system according to an exemplary embodiment of the present application, where, as shown in fig. 1, the multi-split air conditioning system 10 includes a throttling device 11, an indoor unit 12 and an outdoor unit 13.

The throttle device 11 includes a plurality of expansion valves 111, each corresponding to one of the indoor units 12. There is a pipe connection between the outdoor unit 13 and the plurality of indoor units 12, and an expansion valve 111 is provided on a pipe between each indoor unit 12 and the outdoor unit 13.

In some embodiments, the pipes connecting the outdoor unit and the plurality of indoor units include a gas pipe 14 (not shown) for transporting a gaseous refrigerant and a liquid pipe 15 (not shown) for transporting a liquid refrigerant.

In some embodiments, the expansion valve 111 has a function of expanding the refrigerant flowing through the expansion valve 111 to reduce pressure, and may be used to adjust the supply amount of the refrigerant in the pipe. When the opening degree of the expansion valve 111 is reduced, the flow path resistance of the refrigerant passing through the expansion valve 111 increases. When the opening degree of the expansion valve 111 increases, the flow path resistance of the refrigerant passing through the expansion valve 111 decreases. In this way, even if the state of other devices in the circuit is unchanged, when the opening degree of the expansion valve 111 is changed, the flow rate of the refrigerant flowing to the indoor unit 12 is changed.

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

The indoor unit 12 is exemplified by an indoor unit 12, and the indoor unit is usually mounted on an indoor wall surface or the like. For another example, the indoor unit is also an indoor unit mode of the indoor unit.

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

In some embodiments, the indoor heat exchanger 121 has a first inlet and outlet for flowing a liquid refrigerant between it and the expansion valve 111, and has a second inlet and outlet for flowing a gas refrigerant between it and the discharge of the compressor 131. The indoor heat exchanger 121 exchanges heat between the indoor air and the refrigerant flowing through the heat transfer pipe connected between the first inlet and the second inlet.

The outdoor unit 13 is usually installed outdoors and exchanges heat with the outdoor environment.

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

In some embodiments, the compressor 131 is disposed between the throttling device 11 and the liquid reservoir 133, and is used for compressing the low-temperature low-pressure refrigerant gas into the high-temperature high-pressure refrigerant gas and discharging the high-temperature high-pressure refrigerant gas to the condenser. The compressor 131 may be an inverter compressor of variable capacity that performs inverter-based rotational speed control.

In some embodiments, the outdoor heat exchanger 132 is connected to the reservoir 133 at one end thereof via the four-way valve 134 and to the throttle device 11 at the other end thereof. The outdoor heat exchanger 132 has a third inlet and outlet for allowing the refrigerant to flow between the outdoor heat exchanger 132 and the suction port of the compressor 131 via the accumulator 133, and has a fourth inlet and outlet for allowing the refrigerant to flow between the outdoor heat exchanger 132 and the throttle device 11. The outdoor heat exchanger 132 exchanges heat between the refrigerant outdoor air flowing through the heat transfer pipe connected between the third inlet and the fourth inlet, and the outdoor heat exchanger 132 operates as a condenser in the refrigeration cycle.

In some embodiments, the reservoir 133 is connected to the compressor 131 at one end and to the outdoor heat exchanger 132 at the other end via a four-way valve 134. In the accumulator 133, the refrigerant flowing from the outdoor heat exchanger 132 to the compressor 131 via the four-way valve 134 is separated into a gas refrigerant and a liquid refrigerant. The gas refrigerant is mainly supplied from the accumulator 133 to the suction port of the compressor 131.

In some embodiments, four ports of the four-way valve 134 are respectively connected to the compressor 131, the outdoor heat exchanger 132, the accumulator 133, and the plurality of expansion valves 111. The four-way valve 134 is used for realizing the conversion between refrigeration and heating by changing the flow direction of the refrigerant in the system pipeline.

In some embodiments, the outdoor fan 135 promotes heat exchange between the refrigerant flowing in the heat transfer pipe between the third inlet and the fourth inlet and the outdoor air by generating an air flow of the outdoor air passing through the outdoor heat exchanger 132.

In some embodiments, the refrigerant circulation loop of the multi-split air conditioning system circulates the refrigerant in the loop formed by the compressor 131, the condenser, the evaporator and the expansion valve 111. Taking the heating mode of the multi-split air conditioning system as an example, the circulation process of the refrigerant in the multi-split air conditioning system comprises that the compressor 131 sucks the low-temperature low-pressure gaseous refrigerant evaporated by the evaporator into a compressor cavity, compresses the low-temperature low-pressure gaseous refrigerant into the high-temperature high-pressure gaseous refrigerant, and then enters the condenser. The high-temperature high-pressure gas refrigerant is condensed into a high-temperature high-pressure liquid refrigerant in the condenser, and then passes through the throttling device 11 such as the expansion valve 111 to be changed into a low-temperature low-pressure liquid refrigerant, and enters the evaporator to be evaporated, and finally returns to the compressor 131, so that the whole heating cycle is completed. The outdoor heat exchanger 132 in the heating mode is used as an evaporator, and the indoor heat exchanger 121 is used as a condenser. The outdoor heat exchanger 132 in the cooling mode is used as a condenser, and the indoor heat exchanger 121 is used as an evaporator.

Fig. 2 is a hardware configuration block diagram of a multi-split air conditioning system according to an exemplary embodiment of the present application. As shown in fig. 2, the multi-split air conditioning system 10 further includes one or more of a plurality of first temperature sensors 101, a plurality of second temperature sensors 102, third temperature sensors 103 and fourth temperature sensors 104, fifth temperature sensors 105, sixth temperature sensors 106, first and second pressure sensors 107 and 108, and a controller 50.

The plurality of indoor units 12, the outdoor unit 13, the compressor 131, the plurality of first temperature sensors 101, the plurality of second temperature sensors 102, the plurality of third temperature sensors 103, the plurality of fourth temperature sensors 104, the fifth temperature sensor 105, the sixth temperature sensor 106, the first pressure sensor 107, and the second pressure sensor 108 are all communicatively connected to the controller 50.

In some embodiments, for any one of the plurality of first temperature sensors 101, the first temperature sensor 101 may be disposed on the air pipe 14 for detecting a temperature value of the air pipe 14 and transmitting the detected temperature value of the air pipe 14 to the controller 50. In some embodiments, a first temperature sensor 101 may be disposed on the air pipe 14 between each indoor unit 12 and the outdoor unit 13, and then the plurality of first temperature sensors 101 may send the detected temperature value of the air pipe 14 to the controller 50.

In some embodiments, for any one of the plurality of second temperature sensors 102, the second temperature sensor 102 may be disposed on the liquid pipe 15 for detecting a temperature value of the liquid pipe 15 and transmitting the detected temperature value of the liquid pipe 15 to the controller 50. In some embodiments, a second temperature sensor 102 may be disposed on the liquid pipe 15 between each indoor unit 12 and the outdoor unit 13, and then the plurality of second temperature sensors 102 may send the detected temperature value of the liquid pipe 15 to the controller 50. In some embodiments, the plurality of third temperature sensors 103 are all connected to the controller 50, and for any one of the plurality of third temperature sensors 103, the third temperature sensor may be disposed at an air outlet of the indoor unit, for detecting an air outlet temperature of the indoor unit, and sending the detected air outlet temperature to the controller 50.

The fourth temperature sensors 104, the plurality of fourth temperature sensors 104 are all connected to the controller 50, and for any one of the plurality of fourth temperature sensors 104, the fourth temperature sensor may be disposed at an air inlet of the indoor unit, for detecting the return air temperature of the indoor unit, and sending the return air temperature to the controller 50.

The fifth temperature sensor 105 is provided in the suction port of the compressor, detects a suction temperature value of the compressor, and transmits the detected suction temperature value to the controller 50.

A sixth temperature sensor 106, provided at the discharge port of the compressor, detects the discharge temperature value of the compressor, and transmits the detected discharge temperature value to the controller 50.

The first pressure sensor 107 is disposed at a discharge port of the compressor, and is configured to detect a discharge pressure value of the compressor and send the detected discharge pressure value to the controller 50.

The second pressure sensor 108 is provided at the suction port of the compressor, and is configured to detect a suction pressure value of the compressor and send the detected suction pressure value to the controller 50.

In some embodiments, the controller 50 may be used to control the operation of the compressor 131 and the expansion valve 111 such that the multi-split air conditioning system 10 operates to perform various predetermined functions of the multi-split air conditioning system.

In some embodiments, the controller 50 may obtain the operating frequency of the compressor 131 at each time and the operating current value at each time.

In the embodiment of the present application, the controller 50 is a device that can generate an operation control signal according to the instruction operation code and the timing signal, and instruct the multi-split air conditioning system to execute the control instruction. By way of example, the controller may be a central processing unit (central processing unit, CPU), a general purpose processor network processor (network processor, NP), a digital signal processor (DIGITAL SIGNAL processing, DSP), a microprocessor, a microcontroller, a programmable logic device (programmable logic device, PLD), or any combination thereof. The controller may also be any other device having processing functionality, such as a circuit, device or software module, for which embodiments of the application are not limited in any way.

In some embodiments, the multi-split air conditioning system 10 is also attached with a remote control having functionality to communicate with the controller 50, for example, using infrared or other communication means. The remote controller is used for various controls of the multi-split air conditioning system by a user, and interaction between the user and the multi-split air conditioning system 10 is realized.

In some embodiments, the multi-split air conditioning system 10 further includes a communicator connected to the controller 50 for establishing communication with other network entities, for example, an RF module may be used for receiving and transmitting signals, specifically, transmitting the received information to the controller 50 for processing, and in addition, transmitting the signals generated by the controller. Typically, the RF circuitry may include, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (low noise amplifier, LNA), a duplexer, and the like.

For example, the multi-split air conditioning system 10 may receive a control instruction sent by the terminal device through the communicator, and execute corresponding processing according to the control instruction, so as to implement interaction between the user and the multi-split air conditioning system 10.

Fig. 3 is an interaction schematic diagram of a controller 50 and a terminal device 300 of a multi-split air conditioning system according to an exemplary embodiment of the present application.

As shown in fig. 3, the terminal device 300 may establish a communication connection with the controller 50 of the air conditioning system. By way of example, the establishment of the communication connection may be accomplished using any known network communication protocol. The network communication protocol may be various wired or wireless communication protocols such as Ethernet, universal serial bus (universal serial bus, USB), FIREWIRE (FIREWIRE), any cellular network communication protocol (e.g., 3G/4G/5G), bluetooth, wireless Fidelity (WIRELESS FIDELITY, wi-Fi), NFC, or any other suitable communication protocol. The communication connection may be a bluetooth connection, NFC, zigbee, wi-Fi (WIRELESS FIDELITY), or the like. The embodiment of the present application is not particularly limited thereto.

It should be noted that the terminal device 300 shown in fig. 3 is only one example of a terminal device. The terminal device 300 in the present application may be a remote controller, a mobile phone, a tablet computer, a personal computer (personal computer, PC), a Personal Digital Assistant (PDA), a smart watch, a netbook, a wearable electronic device, an augmented reality (augmented reality, AR) device, a Virtual Reality (VR) device, a robot, etc., and the present application does not limit the specific form of the terminal device.

Fig. 4 is a schematic structural diagram of a controller according to an embodiment of the present application. As shown in fig. 4, the controller 50 includes an outdoor control module 501 and an indoor control module 502. The outdoor control module 501 includes a first memory 5011 and the indoor control module 502 includes a second memory 5021. The indoor control module 502 is connected to the outdoor control module 501 through wired or wireless communication. The outdoor control module 501 may be installed in the outdoor unit 13, or may be independent of the outdoor unit 13, and may be used to control the outdoor unit 13 to perform related operations. The indoor control module 502 may be installed in the indoor unit 12, or may be independent of the indoor unit 12, and may be used to control components of the indoor unit 12 and the throttle device 11 to perform related operations. It should be understood that the above division of modules is only a functional division, and the outdoor control module 501 and the indoor control module 502 may be integrated in one module. The first memory 5011 and the second memory 5021 can be integrated as one memory.

In some embodiments, the first memory 5011 is used for storing applications and data related to the outdoor unit 13, and the outdoor control module 501 performs various functions and data processing of the multi-split air conditioning system by running the applications and data stored in the first memory 5011. The first memory 5011 mainly includes a storage program area in which an operating system, an application program required for at least one function (e.g., an outdoor unit fan on function, an outdoor temperature measurement function, etc.), and a storage data area in which data created according to the use of the multi-split air conditioning system (e.g., an outdoor temperature, opening degrees of respective expansion valves, etc.) can be stored. Further, the first memory 5011 may include high speed random access memory, and may also include nonvolatile memory such as magnetic disk storage devices, flash memory devices, or other volatile solid state storage devices, and the like.

In some embodiments, the second memory 5021 is used to store application programs and data related to the plurality of indoor units 12 and the plurality of expansion valves 111, and the indoor control module 502 performs various functions and data processing of the multi-split air conditioning system by running the application programs and data stored in the memory 5021. The second memory 5021 mainly includes a storage program area that can store an operating system, an application program required for at least one function (e.g., an indoor temperature measurement function), and a storage data area that can store data created according to the use of the multi-split air conditioning system (e.g., an indoor temperature, etc.). In some examples, the second memory 5021 is also used to store a correspondence between the address of the indoor unit 12 and the address of the expansion valve 111.

In some embodiments, there is a communication connection between the outdoor control module 501 and the outdoor unit 13, which is used to control the outdoor unit to perform related operations according to a user command or a default command of the system. Alternatively, the outdoor control module 501 may control the rotational speed of the outdoor fan according to an air conditioner operation mode selected by a user. Optionally, the outdoor control module 501 may also obtain an outdoor temperature according to a user instruction or a system instruction, and store the obtained outdoor temperature to the first memory 5011. Optionally, the outdoor control module 501 may further control the four-way valve 134 in the outdoor unit 13 to rotate according to the air conditioning operation mode selected by the user, so as to realize the selection of the cooling or heating mode. Alternatively, the outdoor control module 501 may also control the operation mode of the outdoor unit 13, the compressor frequency, etc. during the address correction.

In some embodiments, a communication link exists between the indoor control module 502 and the indoor unit 12 for controlling the indoor unit 12 to perform related operations according to user instructions or system default instructions. For example, the indoor control module 502 may also control the indoor unit to turn on the indoor temperature sensor according to a user instruction, and detect the indoor temperature.

In some embodiments, a communication link exists between the indoor control module 502 and the plurality of expansion valves 111 for controlling the plurality of expansion valves 111 to perform related operations according to user instructions or system default instructions. Alternatively, the indoor control module 502 may also control the opening degree of each expansion valve 111 according to a user instruction or a system instruction.

Those skilled in the art will appreciate that the hardware configuration shown in fig. 2 is not limiting of a multi-split air conditioning system, which may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.

The embodiments of the present application will be described in detail below with reference to the drawings attached to the specification.

As shown in fig. 5, an embodiment of the present application provides a control method of a multi-split air conditioning system, where the method is applied to a controller, and the controller may be the controller 50 shown in fig. 2, and the method includes the following steps:

s101, under the condition that the multi-split air conditioning system is determined to be faulty, respectively inputting the characteristic data of the multi-split air conditioning system into a plurality of fault recognition models based on support vector machines to obtain a plurality of fault recognition results.

In some embodiments, a plurality of trained fault recognition models based on the support vector machine are pre-stored in a memory of the multi-split air conditioning system, and the controller inputs feature data of the multi-split air conditioning system into the plurality of fault recognition models based on the support vector machine under the condition that the multi-split air conditioning system is determined to be faulty. The characteristic data of the multi-split air conditioning system is obtained after correlation analysis is carried out on the operation data of the multi-split air conditioning system, and the characteristic data is reserved after the data irrelevant to faults are removed from the operation data of the multi-split air conditioning system. It can be understood that the operation data of the multi-split air conditioning system is subjected to correlation analysis, data irrelevant to faults are removed, the influence of the irrelevant data on the accuracy and the efficiency of fault identification can be removed, and the accuracy and the efficiency of fault identification of the multi-split air conditioning system can be improved. Regarding how to perform correlation analysis on the operation data of the multi-split air conditioning system to obtain the description of the feature data of the multi-split air conditioning system, reference may be made to the descriptions of the following steps S301 to S302, which are not repeated herein.

And inputting the characteristic data of the multi-split air conditioning system into a plurality of fault recognition models, wherein one fault recognition model corresponds to one fault type, and a fault recognition result output by one fault recognition model is used for indicating the probability of the multi-split air conditioning system that the fault recognition model corresponds to. It can be understood that one fault identification model is used for identifying one fault type, and one fault identification model only identifies the probability of the fault type corresponding to the fault identification model of the multi-split air conditioning system when the multi-split air conditioning system is subjected to fault identification, and the probability is not influenced by other fault types during fault identification. And respectively inputting the operation data of the multi-split air conditioning system into a plurality of fault recognition models based on the support vector machine to obtain a plurality of fault recognition results, namely obtaining the probability of each fault type corresponding to the fault recognition model of the multi-split air conditioning system.

Exemplary fault types of the multi-split air conditioning system include abnormal refrigerant charge, outdoor heat exchanger filth blockage, indoor heat exchanger filth blockage, compressor wear and expansion valve faults.

In some embodiments, the characteristic data of the multi-split air conditioning system includes at least one of an operating frequency of the compressor, an exhaust pressure value of the compressor, an intake temperature value of the compressor, an exhaust superheat degree of the compressor, an intake superheat degree of the compressor, an opening degree of an outdoor fan gear expansion valve, an outlet air temperature of each indoor unit, a return air temperature of each indoor unit, a temperature value of an air pipe, and a temperature value of a liquid pipe.

In some embodiments, the support vector machine is a two-class model, the basic model of the support vector machine is a linear classifier defined with the largest space in feature space, and the support vector machine is distinguished from the perceptron by the largest space of the support vector machine. The support vector machine also includes kernel skills, which makes the support vector machine a substantially nonlinear classifier. The support vector machine is based on the VC dimension theory of statistical learning theory and the minimum structural risk theory, and according to limited sample information, the best compromise is sought between the complexity of a model (i.e. the learning accuracy of specific training samples) and the learning capacity (i.e. the capacity of recognizing any sample without error) so as to obtain the best popularization capacity.

In some embodiments, the controller may train a plurality of fault recognition models based on the support vector machine based on the historical operation data of the multi-split air conditioning system, and store the trained plurality of fault recognition models in the memory, so that when the fault recognition function is executed, the fault type occurring in the multi-split air conditioning system can be recognized in time according to the trained fault recognition model. The historical operation data of the multi-split air conditioning system comprises normal operation data of the multi-split air conditioning system in a normal operation process and abnormal operation data (also can be called as historical fault data) in an abnormal operation process.

In some embodiments, the training process of the fault identification model comprises the steps of establishing a data regression line, a regression plane and a hyperplane for fitting, and adjusting fitting accuracy and range through a loss function, a set deviation value and a relaxation variable.

In some embodiments, model testing is performed after the training of the fault recognition model is completed, the test results of the fault recognition model are visualized through a confusion matrix and a diagnosis time sequence diagram, and three model evaluation indexes, namely average geometric accuracy (GMA), false Alarm Rate (FAR) and false alarm rate (MAR), are introduced for evaluation. The GMA index represents the geometric mean value of the accuracy of each classification category, and after the real result is obtained, judgment is carried out, and if the accuracy does not meet the requirement, a parameter updating and optimizing module is started to carry out self optimization.

S102, taking the fault type corresponding to the fault identification result with the highest probability in the fault identification results as the target fault type of the multi-connected air conditioning system.

It can be understood that one fault recognition model corresponds to one fault type, the greater the fault probability indicated by one fault recognition result, the higher the probability of representing that the multi-split air conditioning system generates the fault type corresponding to the fault recognition result, so that the fault type corresponding to the fault recognition result with the highest probability in the multiple fault recognition results can be used as the target fault type of the multi-split air conditioning system.

Illustratively, assume that the fault identification model includes A1, B1, and C1, A1 corresponding to the A fault type, B1 corresponding to the B fault type, and C1 corresponding to the C fault type. Under the condition that the multi-split air conditioning system determines that faults occur, the characteristic data of the multi-split air conditioning system are input into three fault recognition models A1, B1 and C1, and then the fault recognition results of the three fault recognition models are obtained. Assuming that the probability that the failure recognition result output by the A1 indicates that the failure type of the multi-split air conditioning system is 50%, the probability that the failure recognition result output by the B1 indicates that the failure type of the multi-split air conditioning system is 80%, and the probability that the failure recognition result output by the C1 indicates that the failure type of the multi-split air conditioning system is 30%, the failure type B can be used as the target failure type of the multi-split air conditioning system.

The technical scheme of the embodiment of the application at least has the advantages that aiming at the problem of lower fault recognition accuracy in the existing multi-split air conditioning system, the control method of the multi-split air conditioning system provided by the embodiment of the application inputs the characteristic data of the multi-split air conditioning system into a plurality of fault recognition models respectively after determining that the multi-split air conditioning system breaks down, so as to obtain a plurality of recognition results.

The foregoing embodiments focus on how to identify faults of the multi-split air conditioning system in the control method of the multi-split air conditioning system provided by the embodiment of the present application, in some embodiments, after the target fault type of the multi-split air conditioning system is confirmed, that is, after step S102, as shown in fig. 6, the method may further include the following steps:

S201, inputting the characteristic data of the multi-split air conditioning system into a fault grade identification model corresponding to the target fault type to obtain a fault grade identification result.

It can be appreciated that in the case of a failure of the multi-split air conditioning system, different failure levels have different effects on the operation of the multi-split air conditioning system. In the case that the fault level is slight, it can be understood that the current fault may not have excessive influence on the operation of the multi-split air conditioning system, and the maintenance may not be performed temporarily. Under the condition that the fault level is serious, the multi-split air conditioning system can not operate and needs to be overhauled. Therefore, after the target fault type of the multi-split air conditioning system is determined, a fault grade identification result is obtained according to the characteristic data of the multi-split air conditioning system, so that whether the multi-split air conditioning system is overhauled or not is judged.

In some embodiments, a plurality of fault level recognition models are pre-stored in a memory of the multi-split air conditioning system, and one fault level recognition model is used for recognizing a fault level of one fault type. After determining the target fault type of the multi-split air conditioning system, the characteristic data of the multi-split air conditioning system can be input into a fault grade identification model corresponding to the target fault type to obtain a fault grade identification result, and the fault grade identification result represents the influence degree of the target fault type on the multi-split air conditioning system.

In some embodiments, the fault level identification model may be a machine learning algorithm based fault level identification model.

In some embodiments, the fault level identification results include fault level 1, fault level 2, fault level 3, fault level 4, and fault level 5. If the fault level recognition result is the fault level 1 or the fault level 2, the user needs to be noticed by the representative, and the user is recommended to pay attention to the inspection. If the fault level is 3, the user needs attention and the recent overhaul is recommended. If the fault level recognition result is the fault level 4, the user needs to be paid attention to the fault level recognition result, and timely overhaul is recommended. If the fault level recognition result is the fault level 5, the user needs to pay high attention to the representation, and immediate overhaul is recommended.

S202, when the fault level indicated by the fault level identification result is above a preset fault level, alarm information is sent out.

When the fault level indicated by the fault level identification result is above the preset fault level, the fault level corresponding to the current target fault type is higher, and the multi-connected air conditioning system may not normally operate. In order to ensure that the multi-split air conditioning system can normally operate, alarm information can be sent out to prompt maintenance personnel to overhaul the multi-split air conditioning system.

In some embodiments, the alarm information includes a target fault type, so that maintenance personnel can purposefully maintain the multi-split air conditioning system based on the target fault type, and the maintenance personnel can help to improve the fault repair efficiency of the multi-split air conditioning system.

The preset fault level may be preset when the multi-split air conditioning system leaves the factory.

Fig. 7 is a schematic diagram illustrating an influence degree of a fault level on the multi-split air conditioning system. As shown in fig. 7, in the case that the fault level is below the fault level 5, the fault occurring in the multi-split air conditioning system is slight, and the influence on the multi-split air conditioning system is small in the case that the fault level is below the fault level 5. Under the condition that the fault level is above the fault level 5, the fault of the multi-split air conditioning system is serious, namely the influence degree on the multi-split air conditioning system is larger under the condition that the fault level is above the fault level 5.

Fig. 8 is a schematic diagram illustrating fault level warning of a multi-split air conditioning system. As shown in fig. 8, in order to avoid that a slight fault of the multi-split air conditioning system develops into a serious fault, a preset fault level may be set to be a fault level 2, that is, when it is determined that the fault level of the multi-split air conditioning system is above the fault level 2, the controller starts sending an alarm message to remind a maintainer to overhaul, so as to avoid that the slight fault of the multi-split air conditioning system develops into the serious fault, for example, avoid that the fault level of the multi-split air conditioning system develops from the fault level 2 to the fault level 5.

For example, the controller may issue the alert information in one or more of the following ways.

Mode 1, a controller controls a display of an indoor unit to display alarm information.

For example, assuming that the target fault type of the multi-split air conditioning system is the outdoor heat exchanger filth blockage, the content of the alarm information may be "the outdoor heat exchanger filth blockage is serious, the immediate overhaul is recommended |".

In some embodiments, in order to facilitate the user to know in time that the multi-split air conditioning system has a serious fault, the controller may control a display of each indoor unit in the multi-split air conditioning system to display the alarm information.

And 2, the controller sends alarm information to the terminal equipment through the communicator.

For example, assuming that the target fault type of the multi-split air conditioning system is that the outdoor heat exchanger is blocked, the content of the alarm information sent by the terminal device receiving the controller 50 through the Wi-Fi network or bluetooth may be "the outdoor heat exchanger is blocked seriously, and immediate overhaul is recommended |".

And 3, the controller sends alarm information to the terminal equipment through the voice prompt device.

In some embodiments, the indoor unit further includes a voice device, the voice prompt device may be a speaker, etc., and the controller may control the voice device to broadcast the alarm information, so as to draw attention of the user and remind the user to overhaul.

The above embodiments focus on the steps performed after determining the fault type of the fault in the multi-split air conditioning system, and in some embodiments, before step 101, as shown in fig. 9, the method may further include the steps of:

s301, before determining that the multi-split air conditioning system fails, acquiring operation data of the multi-split air conditioning system.

It can be appreciated that the fault type can be further identified after the multi-split air conditioning system is determined to be faulty. Therefore, before the multi-split air conditioning system is determined to be faulty, the operation data of the multi-split air conditioning system can be obtained to judge whether the multi-split air conditioning system is faulty.

Alternatively, as shown in fig. 10, step S301 may be specifically implemented as the following steps:

S3011, acquiring original operation data of the multi-split air conditioning system.

In some embodiments, when the multi-split air conditioning system is in an operating state, the controller obtains original operating data generated by each component of the multi-split air conditioning system in the operating process.

S3012, preprocessing the original operation data of the multi-split air conditioning system to obtain the operation data of the multi-split air conditioning system.

In some embodiments, the preprocessing includes outlier rejection processing and smoothing processing.

The abnormal value eliminating process refers to that in the process that the controller acquires the original operation data, the discrete degree of the existing individual abnormal operation data is higher than that of other operation data, if the abnormal value eliminating is not performed on the original operation data of the multi-split air conditioning system, the abnormal operation data may influence the accuracy of a fault diagnosis result when the fault diagnosis is performed subsequently. After the original operation data of the multi-split air conditioning system is obtained, outlier rejection processing can be performed on the original operation data of the multi-split air conditioning system.

The smoothing processing refers to that after abnormal value removal processing is carried out on the original operation data of the multi-split air conditioning system, a smoothing algorithm is utilized to carry out least square curve fitting, and the removed data is replaced by the fitted data. The least squares fitting is a mathematical approximation and optimization method that obtains a straight line or curve in a coordinate system based on known data, and minimizes the sum of squares of the distances between fitting points and the known data.

In some embodiments, the smoothing algorithm includes a Savitzky-Golay algorithm.

In some embodiments, the data smoothing processing of the original operation data of the multi-split air conditioning system can be specifically implemented by inputting the original operation data after the outlier rejection processing into a generated network countermeasure model to obtain the operation data of the multi-split air conditioning system.

The generated type countermeasure network model is a deep learning model, and the model at least comprises two modules, namely a generated model and a judging model. The generating model is responsible for generating fitting data, and the judging model is responsible for judging the fitting data and judging whether the data is smooth or not. And the generated model and the judging model are mutually game, and finally the data after the smoothing processing is obtained.

In some embodiments, the operation data of the multi-split air conditioning system may include at least one of a compressor current value, a compressor operation frequency, a compressor discharge pressure value, a compressor suction temperature value, a compressor discharge superheat degree, a compressor suction superheat degree, an outdoor fan gear, an expansion valve opening degree, an air outlet temperature of each indoor unit, a return air temperature of each indoor unit, a temperature value of an air pipe, a temperature value of a liquid pipe, a discharge pressure value and a discharge temperature value at a refrigerant discharge pipe of the outdoor unit, and the like in an operation process of an outdoor unit of the multi-split air conditioning system. The operation data of the multi-split air conditioning system shown above is merely exemplary, and the operation data of the multi-split air conditioning system may also include other data, which is not described herein in detail.

S302, performing correlation analysis on operation data of the multi-split air conditioning system based on a maximum information coefficient method, and extracting characteristic data of the multi-split air conditioning system from the operation data of the multi-split air conditioning system.

It can be understood that a large amount of redundant data which is not used for fault diagnosis exists in the operation data of the multi-split air conditioning system, and the redundant data can influence the efficiency and the accuracy of fault diagnosis. In order to eliminate the efficiency and the accuracy of redundant data in the operation data of the multi-split air conditioning system for fault diagnosis, the operation data of the multi-split air conditioning system can be subjected to correlation analysis based on a maximum information coefficient method, and the characteristic data of the multi-split air conditioning system can be extracted from the operation data of the multi-split air conditioning system.

The maximum information coefficient method is a feature selection algorithm and is used for measuring the association degree between two variables, the association degree between various fault types and the operation data of the multi-split air conditioning system can be measured through the maximum information coefficient method, and the operation data is analyzed and screened according to the association degree between the operation data and the fault types. The operation data with lower correlation degree with the fault type represents that the correlation between the operation data and the fault type is smaller, the operation data can be used as redundant data, the operation data with higher correlation degree with the fault represents that the correlation between the operation data and the fault type is larger, and the operation data can be used as characteristic data.

In some embodiments, before performing relevance analysis on the operation data of the multi-split air conditioning system based on the maximum information coefficient method and extracting the feature data of the multi-split air conditioning system from the operation data of the multi-split air conditioning system, the importance degrees of different operation data on different fault types can be calculated according to the importance degree of the base variables and the relevance rule algorithm, and the operation data are ordered according to the importance degrees.

The importance of the keni variable is a method for measuring the importance of the variable according to a keni index, wherein the keni index represents the probability that a randomly selected sample in a sample set is misclassified, and the smaller the keni index is, the smaller the probability that the selected sample in the set is misclassified, namely the higher the purity of the set is. The smaller the base index of a feature data, the more important that feature data is represented.

S303, determining whether the multi-split air conditioning system fails or not based on the characteristic data of the multi-split air conditioning system.

As can be seen from the above step S302, the characteristic data of the multi-split air conditioning system is extracted by performing correlation analysis on the operation data of the multi-split air conditioning system, and the characteristic data of the multi-split air conditioning system can reflect the operation condition of the multi-split air conditioning system. And under the condition that the multi-split air conditioning system fails, the characteristic data of the multi-split air conditioning system also fluctuates.

The refrigerant enters the evaporation heat absorption process of the refrigerant after passing through the throttle valve of the indoor unit, and when the expansion valve connected with the indoor unit is normal, the temperature value of the air pipe connected with the indoor unit and the temperature value of the liquid pipe are equal, namely the temperature difference value between the temperature value of the liquid pipe and the temperature value of the air pipe is 0. When the expansion valve fails, for example, the refrigerant flow is insufficient when the opening of the expansion valve is too small due to the failure of the expansion valve, so that the heat is too high in the evaporation and heat absorption process, and the temperature difference between the temperature value of the liquid pipe connected with the indoor unit and the temperature value of the air pipe is increased. Therefore, it is possible to determine whether the expansion valve is malfunctioning based on the characteristic data (the temperature value of the air pipe and the temperature value of the liquid pipe).

Alternatively, as shown in fig. 11, step S303 may be specifically implemented as the following steps:

s3031, the characteristic data of the multi-split air conditioning system are input into a fault diagnosis model to obtain a fault diagnosis result.

In some embodiments, a trained fault diagnosis model is pre-stored in a memory of the multi-split air conditioning system, and when fault diagnosis is performed on the multi-split air conditioning system, feature data of the multi-split air conditioning system can be input into the trained fault diagnosis model to obtain a fault diagnosis result, and the fault diagnosis result indicates whether the multi-split air conditioning system has a fault.

In some embodiments, the fault diagnosis model may be a support vector machine based fault diagnosis model.

In some embodiments, the fault diagnosis model training process comprises setting gradient multi-split air conditioning system simulation experiments for each fault type, collecting experimental data of each fault type, classifying the experimental data according to the normal and abnormal states of the multi-split air conditioning system, and training a fault diagnosis model.

For example, taking a simulation experiment of the refrigerant filling amount as an example, a plurality of simulation experiments are set in a decreasing manner by 10% in sequence from the refrigerant filling amount of 120% (over-filling) to the refrigerant filling amount of 50% (under-filling), and experimental data of each simulation experiment are collected.

In some embodiments, if the performance of the multi-split air conditioning system in the simulation experiment is reduced, and when the performance reduction reaches a preset threshold, the multi-split air conditioning system is considered to be abnormal, the experimental data of the simulation experiment are marked as abnormal. If the performance of the multi-split air conditioning system in the simulation experiment is reduced by not reaching the preset threshold, the multi-split air conditioning system is considered to be normal, and the experimental data of the simulation experiment are marked as normal.

S3032, under the condition that the fault diagnosis result is yes, determining that the multi-split air conditioning system has faults.

In some embodiments, if the fault diagnosis result is no, it is determined that the multi-split air conditioning system has not failed.

The embodiment shown in fig. 9 has the advantages that the correlation analysis is carried out on the operation data of the multi-split air conditioning system based on the maximum information coefficient method, and the characteristic data is extracted from the operation data of the multi-split air conditioning system, so that the fault diagnosis, the fault identification and the fault grade identification can be carried out based on the characteristic data with small data quantity and strong characteristic representativeness, and the efficiency and the accuracy of the fault diagnosis, the fault identification and the fault grade identification are improved.

The following describes an exemplary method for controlling a multi-split air conditioning system according to an embodiment of the present application with reference to a specific example, and fig. 12 is a schematic overall flow chart of the exemplary method for controlling a multi-split air conditioning system according to the embodiment of the present application.

As shown in fig. 12, in the case that the multi-split air conditioning system is operated, the controller acquires operation data of the multi-split air conditioning system, and extracts feature data of the multi-split air conditioning system from the operation data through correlation analysis. And if the fault occurs, carrying out fault identification, wherein the fault identification comprises the steps of inputting the characteristic data into a plurality of fault identification models based on support vector machines, and taking the fault type corresponding to the fault identification result with the highest probability in a plurality of fault identification results as a target fault type.

After confirming the target fault type, inputting the characteristic data into a fault grade identification model corresponding to the target fault type to obtain a fault grade identification result. If the fault level identification result is below the preset fault level, the fault is considered to be slight, and if the fault level identification result is above the preset fault level, the fault is considered to be serious, and the alarm information is controlled to be sent to remind a user of maintenance.

In some embodiments, the control method of the multi-split air conditioning system provided by the embodiment of the present application further relates to a training process for a fault level identification model, where the training process for the fault level identification model includes the following steps:

A1, data acquisition.

Data for training the fault level recognition model are collected, gradient multi-split air conditioning system simulation experiments can be set for each fault type, experimental data of each fault type are collected, and the experimental data are classified according to the fault level of the multi-split air conditioning system and are used for training the fault diagnosis model. The above steps of simulation experiment and data acquisition are described in detail and will not be repeated.

A2, preprocessing data.

After the experimental data for training the fault level identification model is collected, the collected experimental data is required to be preprocessed, abnormal experimental data is removed, and the experimental data is subjected to data smoothing. The above steps for data preprocessing are described and will not be repeated here.

A3, selecting important characteristic data.

After the pretreatment of the experimental data is completed, calculating the importance degrees of different operation data on different fault types according to the importance degrees of the base variables and the association rule algorithm, and sequencing the operation data according to the importance degrees. And carrying out relevance analysis on the experimental data by using a maximum information coefficient method, and removing redundant data irrelevant to faults in the experimental data. The importance of the base variable and the maximum information coefficient method are described in the above steps, and are not described herein.

In some embodiments, the important feature data selection further includes decoupling faults by changing mathematical equations containing multiple variables into a system of equations that can be represented by a single variable, i.e., the variables are no longer simultaneously in common to directly affect the results of one equation, thereby simplifying analytical calculations. In a multi-split air conditioning system, there may be a correlation between faults, resulting in other faults being initiated when a single fault occurs in the multi-split air conditioning system. Decoupling a fault is to eliminate the influence of other faults on the fault when the correlation between experimental data and the fault is analyzed.

In some embodiments, the important feature data selection further comprises analyzing the existing experimental data in conjunction with an expert knowledge system. After sequencing the operation data according to the importance degree of the experimental data and performing relevance analysis through a maximum information coefficient method, important characteristic data can be selected by combining with an expert knowledge system. And constructing an expert knowledge system according to the working principle of the multi-split air conditioning system, comprehensively analyzing experimental data subjected to importance ranking and relevance analysis by a maximum information coefficient method, and selecting important characteristic data.

And A4, model training.

After important characteristic data are determined, training a fault level recognition model based on a support vector machine model, evaluating the fault level recognition model after training is completed, and if the precision of the fault level recognition model does not meet the requirement, updating starting parameters and optimizing the model to perform self optimization. The above steps of the model training and optimizing method are described and are not repeated here.

In some embodiments, the fault diagnosis model and the training method of the fault identification model according to the embodiments of the present application may refer to the training method of the fault level identification model described above, which is not described herein.

It can be seen that the foregoing description of the solution provided by the embodiments of the present application has been presented mainly from a method perspective. To achieve the above-mentioned functions, embodiments of the present application provide corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The embodiment of the application can divide the functional modules of the controller according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiment of the present application is schematic, which is merely a logic function division, and other division manners may be implemented in practice.

The embodiment of the present application further provides a hardware structure schematic of a controller, as shown in fig. 13, where the controller 3000 includes a processor 3001, and optionally, a memory 3002 and a communication interface 3003 connected to the processor 3001. The processor 3001, the memory 3002, and the communication interface 3003 are connected by a bus 3004.

The processor 3001 may be a central processing unit (central processing unit, CPU), a general purpose processor network processor (network processor, NP), a digital signal processor (DIGITAL SIGNAL processing, DSP), a microprocessor, a microcontroller, a programmable logic device (programmable logic device, PLD), or any combination thereof. The processor 3001 may also be any other apparatus having processing functionality, such as a circuit, a device, or a software module. The processor 3001 may also include a plurality of CPUs, and the processor 3001 may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, or processing cores for processing data (e.g., computer program instructions).

The memory 3002 may be a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a random access memory (random access memory, RAM) or other type of dynamic storage device that may store information and instructions, or an electrically erasable programmable read-only memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-only memory, EEPROM), a compact disc read-only memory (compact disc read-only memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, as embodiments of the application are not limited in this regard. The memory 3002 may be separate or integrated with the processor 3001. Wherein the memory 3002 may contain computer program code. The processor 3001 is configured to execute computer program codes stored in the memory 3002, so as to implement the control method of the multi-online air conditioning system provided by the embodiment of the application.

The communication interface 3003 may be used to communicate with other devices or communication networks (e.g., ethernet, radio access network (radio access network, RAN), wireless local area network (wireless local area networks, WLAN), etc.). The communication interface 3003 may be a module, a circuit, a transceiver, or any device capable of enabling communications.

Bus 3004 may be a peripheral component interconnect standard (PERIPHERAL COMPONENT INTERCONNECT, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, or the like. The bus 3004 may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 13, but not only one bus or one type of bus.

The embodiment of the application also provides a computer readable storage medium, which comprises computer execution instructions, when the computer execution instructions run on a computer, the computer is caused to execute the control method of the multi-split air conditioning system provided by the embodiment.

The embodiment of the application also provides a computer program product which can be directly loaded into a memory and contains software codes, and the computer program product can realize the control method of the multi-split air conditioning system provided by the embodiment after being loaded and executed by a computer.

Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and the division of modules or units, for example, is merely a logical function division, and other manners of division are possible when actually implemented. For example, multiple units or components may be combined or may be integrated into another device, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form. The units described as separate parts may or may not be physically separate, and the parts shown as units may be one physical unit or a plurality of physical units, may be located in one place, or may be distributed in a plurality of different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units. The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a readable storage medium. Based on such understanding, the technical solution of the embodiments of the present application may be essentially or a part contributing to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, including several instructions for causing a device (may be a single-chip microcomputer, a chip or the like) or a processor (processor) to perform all or part of the steps of the method described in the embodiments of the present application. The storage medium includes various media capable of storing program codes such as a U disk, a mobile hard disk, a ROM, a RAM, a magnetic disk or an optical disk.

The foregoing is merely illustrative of specific embodiments of the present application, and the scope of the present application is not limited thereto, but any changes or substitutions within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims (6)

1. A multi-split air conditioning system, comprising:

a refrigerant circulation circuit for circulating a refrigerant through the compressor, the condenser, the expansion valve, and the evaporator;

a controller that controls at least the compressor and the expansion valve;

One of the condenser and the evaporator is an outdoor heat exchanger, and the other is an indoor heat exchanger;

an outdoor unit including the compressor and the outdoor heat exchanger;

a plurality of indoor units including the indoor heat exchanger;

the liquid pipe and the air pipe are used for connecting the outdoor unit and the indoor unit;

The controller is configured to:

Acquiring operation data of the multi-split air conditioning system;

performing correlation analysis on the operation data of the multi-split air conditioning system based on a maximum information coefficient method, and extracting characteristic data of the multi-split air conditioning system from the operation data of the multi-split air conditioning system;

determining whether the multi-split air conditioning system has faults or not based on the characteristic data of the multi-split air conditioning system;

Under the condition that the multi-split air conditioning system is determined to be faulty, the characteristic data of the multi-split air conditioning system are respectively input into a plurality of fault recognition models based on support vector machines to obtain a plurality of fault recognition results, wherein one fault recognition model is used for recognizing one fault type, and the fault recognition result output by one fault recognition model is used for indicating the probability of the multi-split air conditioning system that the fault recognition model corresponds to;

and taking the fault type corresponding to the fault identification result with the highest probability in the plurality of fault identification results as the target fault type of the multi-connected air conditioning system.

2. The multi-split air conditioning system of claim 1, wherein the controller is configured to, after taking a fault type corresponding to a fault recognition result with a highest probability among the plurality of fault recognition results as a target fault type of the multi-split air conditioning system, further configured to:

Inputting the characteristic data of the multi-split air conditioning system into a fault grade identification model corresponding to the target fault type to obtain a fault grade identification result;

And when the fault level indicated by the fault level identification result is above a preset fault level, sending out alarm information, wherein the alarm information comprises the target fault type and is used for prompting maintenance of the multi-split air conditioning system.

3. The multi-split air conditioning system of claim 2, wherein the controller is configured to determine whether the multi-split air conditioning system is malfunctioning based on the characteristic data of the multi-split air conditioning system, and is specifically configured to:

inputting the characteristic data of the multi-split air conditioning system into a fault diagnosis model to obtain a fault diagnosis result, wherein the fault diagnosis result indicates whether the multi-split air conditioning system has a fault or not;

And under the condition that the fault diagnosis result is yes, determining that the multi-split air conditioning system has faults.

4. The multi-split air conditioning system of claim 2, wherein the controller is configured to, when acquiring the operation data of the multi-split air conditioning system, specifically configured to:

acquiring original operation data of the multi-split air conditioning system;

And preprocessing the original operation data of the multi-split air conditioning system to obtain the operation data of the multi-split air conditioning system, wherein the preprocessing comprises outlier rejection processing and smoothing processing.

5. The variable air conditioning system according to any one of claims 1 to 3, wherein the characteristic data of the variable air conditioning system includes at least one of an operating frequency of the compressor, a discharge pressure value of the compressor, a suction temperature value of the compressor, a discharge superheat degree of the compressor, a suction superheat degree of the compressor, an outdoor fan gear, an opening degree of the expansion valve, an outlet air temperature of each of the indoor units, a return air temperature of each of the indoor units, a temperature value of the air pipe, and a temperature value of the liquid pipe.

6. A control method of a multi-split air conditioning system, wherein the method is applied to the multi-split air conditioning system of any one of claims 1 to 5.