Fault diagnosis system, method and device for air conditioner

Abstract

The invention provides a fault diagnosis system, method and device for an air conditioner, and the system comprises a data storage unit, a processor and an image collection device, and the image collection device is disposed in a control cabinet and is used for collecting the image information of each component in the control cabinet. The data memory stores fault diagnosis boundary conditions used for identifying fault types of components in the control cabinet; the processor is used for acquiring image information, acquired by the image acquisition equipment, of each component in the control cabinet; and performing state feature extraction on the current operation state of each component in the image information to obtain target state feature information of each component in the control cabinet, and determining the fault type of each component in the control cabinet based on the target state feature information and the fault diagnosis boundary condition. According to the fault diagnosis system of the air conditioner, the efficiency and accuracy of fault diagnosis of various components in the air conditioner control cabinet can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning equipment, and in particular, to a fault diagnosis system, method and device for an air conditioner. In addition, the present invention also relates to an electronic device and a non-transitory computer-readable storage medium. Background Art

[0002] In recent years, with the rapid development of Internet of Things technology, the application of various Internet of Things devices in air conditioners has become increasingly widespread. At present, in the process of fault diagnosis of components in the air conditioner control cabinet, it is usually diagnosed relying on the fault signals or fault information reported by each component. This method has relatively high limitations. However, in practice, there are many types of components in the air conditioner control cabinet. In addition to devices such as frequency converters, motor protectors, and thermal relays that can output fault signals or fault information, there are also various devices that do not have the ability to output fault signals or fault information, such as blown fuses, loose wire terminals, circuit breaker tripping, and so on. Therefore, how to provide a more accurate air conditioner fault diagnosis scheme has become an urgent problem to be solved. Summary of the Invention

[0003] The present invention provides a fault diagnosis system, method and device for an air conditioner, so as to solve the defect that the fault diagnosis scheme applied to the air conditioner in the prior art has relatively high limitations, resulting in poor fault diagnosis efficiency and accuracy of the air conditioner.

[0004] The present invention provides a fault diagnosis system for an air conditioner, which is applied inside the control cabinet of the air conditioner and includes: a data memory, a processor and an image acquisition device; the data memory, the image acquisition device and the processor are communicatively connected, and the image acquisition device is arranged inside the control cabinet for collecting image information of each component inside the control cabinet; the data memory stores fault diagnosis boundary conditions for identifying the fault types of components inside the control cabinet. The processor is used to perform the following steps: Obtain the image information of each component inside the control cabinet collected by the image acquisition device; Extract state characteristics of the current operating state of each component in the image information to obtain target state characteristic information of each component inside the control cabinet; Based on the target state characteristic information and the fault diagnosis boundary conditions, determine the fault types of each component inside the control cabinet, and send an alarm prompt message to the associated client according to the fault types.

[0005] The fault diagnosis system of the air conditioner according to the present invention further includes: an air conditioner control module; the air conditioner control module is configured to obtain corresponding air conditioner operation control instructions issued by the processor according to the fault types of various components in the control cabinet, and control the current operation state of the air conditioner according to the air conditioner operation control instructions.

[0006] The fault diagnosis system of the air conditioner according to the present invention further includes: an interface expansion module; the interface expansion module is communicatively connected to the processor and is configured to access an external visual camera device to forward the video data collected by the visual camera device to the processor for fault diagnosis and analysis.

[0007] The present invention also provides a fault diagnosis method for an air conditioner, which is applied to the fault diagnosis system of the air conditioner as described above, and includes: Obtaining image information of various components in the control cabinet collected by an image acquisition device; Performing state feature extraction on the current operation states of various components in the image information to obtain target state feature information of various components in the control cabinet; Based on the target state feature information and fault diagnosis boundary conditions, determining the fault types of various components in the control cabinet, and sending an alarm prompt message to an associated client according to the fault types.

[0008] According to the fault diagnosis method of the air conditioner of the present invention, the determining the fault types of various components in the control cabinet based on the target state feature information and fault diagnosis boundary conditions includes: Performing matching analysis on the target state feature information and the boundary conditions of each fault type in the fault diagnosis boundary conditions respectively to obtain a matching analysis result; Wherein, the fault diagnosis boundary conditions include the color states of indicator lights respectively corresponding to various components in the control cabinet, the flashing frequencies of the indicator lights, the appearance states of various components respectively, and the moving positions of target components respectively corresponding to various components; Determining the fault types of various components in the control cabinet according to the matching analysis result.

[0009] According to the fault diagnosis method of the air conditioner of the present invention, the performing state feature extraction on the current operation states of various components in the image information to obtain target state feature information of various components in the control cabinet specifically includes: Input the image information into a preset fault feature model to extract state features of the current operating states of each component, and obtain the target state feature information of each component in the control cabinet output by the fault feature model; wherein, the fault feature model is a neural network model of computer vision trained based on sample image information and state labels corresponding to the sample image information.

[0010] According to the fault diagnosis method of the air conditioner of the present invention, after determining the fault types of each component in the control cabinet based on the target state feature information and fault diagnosis boundary conditions, it further includes: According to the corresponding relationship between the fault types of each component in the control cabinet and preset control instructions, determine the corresponding air conditioner operation control instructions to be issued, and send the air conditioner operation control instructions to the controller of the air conditioner, so as to control the air conditioner to operate according to the air conditioner operation control instructions through the controller; wherein, the air conditioner operation control instructions correspond to the fault types; the control instruction corresponding relationship includes the fault types of each component and various air conditioner operation control instructions; the air conditioner operation control instructions include turning off the air conditioner, turning on the air conditioner, or adjusting the air conditioner to the standby state.

[0011] The present invention also provides a fault diagnosis device for an air conditioner, including: An information acquisition unit, configured to acquire the image information of each component in the control cabinet collected by an image acquisition device; A state feature extraction unit, configured to extract state features of the current operating states of each component in the image information, and obtain the target state feature information of each component in the control cabinet; A fault diagnosis processing unit, configured to determine the fault types of each component in the control cabinet based on the target state feature information and fault diagnosis boundary conditions, and send an alarm prompt message to an associated client according to the fault types.

[0012] According to the fault diagnosis device of the air conditioner of the present invention, the fault diagnosis processing unit is configured to: Perform matching analysis on the target state feature information and the boundary conditions of each fault type in the fault diagnosis boundary conditions respectively to obtain a matching analysis result; Wherein, the fault diagnosis boundary conditions include the color states of the indicator lights respectively corresponding to each component in the control cabinet, the flashing frequencies of the indicator lights, the appearance states respectively corresponding to each component, and the moving positions of the target components respectively corresponding to each component; Determine the fault types of each component in the control cabinet according to the matching analysis result.

[0013] The fault diagnosis device of the air conditioner according to the present invention, the state feature extraction unit is configured to: Input the image information into a preset fault feature model to perform state feature extraction on the current operating states of each component, and obtain the target state feature information of each component in the control cabinet output by the fault feature model; wherein, the fault feature model is a neural network model of computer vision trained based on sample image information and the state labels corresponding to the sample image information.

[0014] The fault diagnosis device of the air conditioner according to the present invention, after determining the fault types of each component in the control cabinet based on the target state feature information and fault diagnosis boundary conditions, further includes: a fault emergency control unit; the fault emergency control unit is configured to: Determine the corresponding air conditioner operation control instructions to be issued according to the fault types of each component in the control cabinet and the preset control instruction correspondence, and send the air conditioner operation control instructions to the controller of the air conditioner, so as to control the air conditioner to operate according to the air conditioner operation control instructions through the controller; wherein, the air conditioner operation control instructions correspond to the fault types; the control instruction correspondence includes the fault types of each component and various air conditioner operation control instructions; the air conditioner operation control instructions include turning off the air conditioner, turning on the air conditioner, or adjusting the air conditioner to the standby state.

[0015] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the steps of the fault diagnosis method of the air conditioner described in any one of the above are implemented.

[0016] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the fault diagnosis method of the air conditioner described in any one of the above is implemented. The fault diagnosis system of the air conditioner provided by the present invention includes: a data memory, a processor, and an image acquisition device. The image acquisition device is arranged inside the control cabinet and is used to acquire the image information of each component inside the control cabinet. The data memory stores the fault diagnosis boundary conditions for identifying the fault types of the components inside the control cabinet. The processor is used to obtain the image information of each component inside the control cabinet acquired by the image acquisition device, extract the state characteristics of the current operating state of each component in the image information to obtain the target state characteristic information of each component inside the control cabinet, and determine the fault types of each component inside the control cabinet based on the target state characteristic information and the fault diagnosis boundary conditions, which can effectively improve the efficiency and accuracy of fault diagnosis for various components in the air conditioner control cabinet, thereby improving the maintenance management effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a schematic structural diagram of the fault diagnosis system of the air conditioner provided by the present invention.

[0019] Figure 2 It is a schematic flowchart of the fault diagnosis method of the air conditioner provided by the present invention.

[0020] Figure 3 It is a schematic position diagram of the fault diagnosis system of the air conditioner provided by the present invention.

[0021] Figure 4 It is a schematic structural diagram of the fault diagnosis device of the air conditioner provided by the present invention.

[0022] Figure 5 It is a schematic structural diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0024] The following will be combined with Figures 1-5A fault diagnosis system, method and device for an air conditioner according to the present invention are described in detail with respect to their embodiments.

[0025] Based on the fault diagnosis system of the air conditioner according to the present invention, its embodiments will be described in detail as follows. As Figure 1 shown, it is a schematic structural diagram of the fault diagnosis system of the air conditioner provided by the present invention. The specific implementation process includes the following parts: a data memory, a processor, and an image acquisition device; the data memory, the image acquisition device, and the processor are communicatively connected. The image acquisition device is disposed inside the control cabinet and is used to acquire image information of each component inside the control cabinet; the data memory stores fault diagnosis boundary conditions for identifying the fault types of the components inside the control cabinet; the processor is used to perform the following steps: obtain the image information of each component inside the control cabinet acquired by the image acquisition device; perform state feature extraction on the current operating states of each component in the image information to obtain the target state feature information of each component inside the control cabinet; based on the target state feature information and the fault diagnosis boundary conditions, determine the fault types of each component inside the control cabinet, and send an alarm prompt message to the associated client according to the fault types. Among them, the data memory can be the Figure 1 memory shown in. The image acquisition device can be the Figure 1 local camera shown in, and this local camera is an industrial vision camera and can be set inside the control cabinet.

[0026] In the process of performing state feature extraction on the current operating states of each component in the image information to obtain the target state feature information of each component inside the control cabinet, specifically, the image information can be first input into a preset fault feature model to perform state feature extraction on the current operating states of each component, and the target state feature information of each component inside the control cabinet output by the fault feature model can be obtained. The fault feature model is a neural network model of computer vision trained based on sample image information and the state labels corresponding to the sample image information.

[0027] In the process of determining the fault type of each component in the control cabinet based on the target state characteristic information and the fault diagnosis boundary conditions, the target state characteristic information and the boundary conditions of each fault type in the fault diagnosis boundary conditions can be specifically matched and analyzed to obtain matching analysis results. The fault type of each component in the control cabinet is determined according to the matching analysis results. Among them, the fault diagnosis boundary conditions include the color state of the indicator light corresponding to each component in the control cabinet, the flashing frequency of the indicator light, the appearance state corresponding to each component, and the moving position of the target component corresponding to each component. The target state characteristic information can be the state information of each component in the control cabinet, such as the color state of the indicator light is red, the flashing frequency of the indicator light is 30 times / second, and the target component (such as the switch) corresponding to the component moves to the "off" position, etc.

[0028] The fault diagnosis boundary condition setting includes: if the appearance of a component changes, it should be damaged by external force. If it is accompanied by irregular blackening characteristics, it is determined that a short circuit has occurred and an arc has occurred. If water marks and condensation are found within the image range, it is determined that the environment inside the control cabinet is humid. If all components in the control cabinet are displaced as a whole or image data cannot be collected, it is determined that the control cabinet door is opened. According to the corresponding image information, the power indicator light of some components is identified, and whether the power supply is normal can be determined according to the color state of the power indicator light. The corresponding image information identifies the fault indicator light of some components to identify whether a fault has occurred, and the fault information is determined by setting different colors or flashing frequencies of the indicator light according to the conditions. The corresponding image information identifies the communication indicator light of some components, and identifies the communication status by being always on or flashing. The corresponding image information identifies the switch position of the circuit breaker in the cabinet to determine the power supply status of the main power supply or a sub-circuit. Identify the opening and closing position of the fuse box to determine whether a secondary circuit is powered normally. The corresponding image information identifies the fuse and the built-in protection indicator light to determine whether the fuse core inside the fuse is overloaded and blown. The corresponding image information identifies the wiring terminals, binding posts, and connectors to determine whether there is any falling off or sparking.

[0029] In addition, the air conditioner fault diagnosis system of the present invention may also include an air conditioner control module; the air conditioner control module is used to obtain the corresponding air conditioner operation control instructions issued by the processor according to the fault type of each component in the control cabinet, and control the current operation state of the air conditioner according to the air conditioner operation control instructions. In addition, the air conditioner fault diagnosis system of the present invention may also include an interface expansion module (i.e., Figure 1 The interface expansion module is connected to the processor for communication and is used to access an external visual camera device (i.e.Figure 1 The external camera shown) to forward the video data collected by the visual camera device to the processor for fault diagnosis and analysis. Further, the interface expansion module may include a network module, a configuration module, etc., and the system may also include a power source such as a storage battery, which will not be elaborated here in detail.

[0030] Currently, in existing maintenance systems, fault diagnosis is based on the fault electrical signals or communication fault information provided by the components to be diagnosed. Most electrical components have relatively simple structures and cannot provide their own fault diagnosis information. The fault diagnosis and prediction part is to collect as much as possible the devices that can provide fault signals or fault codes through communication and electrical signal acquisition. The system of the present invention is designed with an industrial vision camera inside the control cabinet to dynamically identify the comprehensive information of each component, such as the status of the indicator light (color, blinking frequency), whether the appearance is intact, whether the position has moved, etc., and hand over more comprehensive and rich image information to the processor to complete all-round fault diagnosis without dead ends. The industrial vision camera can be based on the visual bionic recognition of the camera, and all components can be identified to generate fault diagnosis information from the operation information. As Figure 3 shown, the industrial vision camera can be installed on the inner side of the control cabinet door so that the camera range can cover all the components on the mounting plate inside the control cabinet. A high-pixel wide-angle lens is used to collect the real-time image information of all the components inside the control cabinet, accurately identify the operation information (appearance, color, position) of each component, and according to the pre-set fault diagnosis boundary conditions for each component, the processor generates corresponding fault warning and alarm information by comparing the real-time feedback image information with the fault diagnosis boundary conditions. The fault diagnosis device is the fault diagnosis system of the air conditioner described in the present invention.

[0031] The fault diagnosis system of the air conditioner described in the present invention is applied inside the control cabinet of the air conditioner and includes: The fault diagnosis system of the air conditioner includes a data memory, a processor, and an image acquisition device. The data memory, the processor, and the image acquisition device are communicatively connected. The image acquisition device is arranged inside the control cabinet and is used to collect image information of each component inside the control cabinet. The data memory stores fault diagnosis boundary conditions for identifying the fault types of the components inside the control cabinet; The processor is used to obtain the image information of each component inside the control cabinet collected by the image acquisition device; extract the state features of the current operating state of each component in the image information to obtain the target state feature information of each component inside the control cabinet. Based on the target state feature information and the fault diagnosis boundary conditions, determine the fault types of each component inside the control cabinet, which can effectively improve the efficiency and accuracy of fault diagnosis for various components in the air conditioner control cabinet, realize highly intelligent system operation and maintenance work, reduce the dependence on technical personnel engineers, reduce labor costs, and thus improve the maintenance management effect. It can comprehensively and completely conduct comprehensive summary and analysis of fault information.

[0032] Next, based on the air conditioner fault diagnosis method described in the present invention, its embodiments will be described in detail. As Figure 2 shown, it is a schematic flowchart of the air conditioner fault diagnosis method provided by the present invention. The specific implementation process includes the following steps: Step 201, obtain the image information of each component inside the control cabinet collected by the image acquisition device.

[0033] Step 202, extract the state features of the current operating state of each component in the image information to obtain the target state feature information of each component inside the control cabinet.

[0034] Specifically, the image information can be input into a preset fault feature model to extract the state features of the current operating state of each component, and obtain the target state feature information of each component inside the control cabinet output by the fault feature model.

[0035] Among them, the fault feature model is a neural network model of computer vision trained based on sample image information and the state labels corresponding to the sample image information.

[0036] Step 203, based on the target state feature information and the fault diagnosis boundary conditions, determine the fault types of each component inside the control cabinet, and send an alarm prompt message to the associated client according to the fault types.

[0037] Specifically, the boundary conditions of each fault type in the target state characteristic information and the fault diagnosis boundary conditions can be respectively subjected to matching analysis to obtain a matching analysis result. The fault types of each component in the control cabinet are determined according to the matching analysis result. Among them, the fault diagnosis boundary conditions include the color state of the indicator light corresponding to each component in the control cabinet, the blinking frequency of the indicator light, the appearance state corresponding to each component, and the moving position of the target component corresponding to each component. The target state characteristic information may be the state information of each component in the control cabinet. For example, the color state of the indicator light is red, the blinking frequency of the indicator light is 20 times per second, and the target component (such as a switch) corresponding to the component moves to the "off" position, etc.

[0038] Further, after determining the fault types of each component in the control cabinet based on the target state characteristic information and the fault diagnosis boundary conditions, the corresponding air conditioner operation control instructions to be issued can be determined according to the corresponding relationship between the fault types of each component in the control cabinet and the preset control instructions, and the air conditioner operation control instructions are sent to the controller of the air conditioner, so that the controller controls the air conditioner to operate according to the air conditioner operation control instructions. Among them, the air conditioner operation control instructions correspond to the fault types; the control instruction corresponding relationship includes the fault types of each component and various air conditioner operation control instructions; the air conditioner operation control instructions include turning off the air conditioner, turning on the air conditioner, or adjusting the air conditioner to the standby state.

[0039] The fault diagnosis method of the air conditioner provided by the present invention obtains the image information of each component in the control cabinet collected by the image acquisition device; extracts the state characteristics of the current operation state of each component in the image information to obtain the target state characteristic information of each component in the control cabinet, and determines the fault types of each component in the control cabinet based on the target state characteristic information and the fault diagnosis boundary conditions, which can effectively improve the efficiency and accuracy of fault diagnosis for various components in the air conditioner control cabinet.

[0040] Next, the fault diagnosis device of the air conditioner provided by the present invention will be described. The fault diagnosis device of the air conditioner described below can be correspondingly referred to the fault diagnosis method of the air conditioner described above. As Figure 4 shown, the fault diagnosis device of the air conditioner of the present invention specifically includes the following parts: An information acquisition unit 401, configured to acquire the image information of each component in the control cabinet collected by the image acquisition device.

[0041] The status feature extraction unit 402 is configured to perform status feature extraction on the current operating status of each component in the image information, so as to obtain the target status feature information of each component in the control cabinet.

[0042] The fault diagnosis and processing unit 403 is configured to determine the fault type of each component in the control cabinet based on the target status feature information and the fault diagnosis boundary conditions, and send an alarm prompt message to the associated client according to the fault type.

[0043] For the fault diagnosis device of the air conditioner according to the present invention, the fault diagnosis and processing unit is configured to: Perform matching analysis on the target status feature information and the boundary conditions of each fault type in the fault diagnosis boundary conditions respectively to obtain a matching analysis result; Wherein, the fault diagnosis boundary conditions include the color status of the indicator lights respectively corresponding to each component in the control cabinet, the flashing frequency of the indicator lights, the appearance status respectively corresponding to each component, and the moving position of the target parts respectively corresponding to each component; Determine the fault type of each component in the control cabinet according to the matching analysis result.

[0044] For the fault diagnosis device of the air conditioner according to the present invention, the status feature extraction unit is configured to: Input the image information into a preset fault feature model to perform status feature extraction on the current operating status of each component, so as to obtain the target status feature information of each component in the control cabinet output by the fault feature model; wherein, the fault feature model is a neural network model of computer vision trained based on sample image information and the status labels corresponding to the sample image information.

[0045] For the fault diagnosis device of the air conditioner according to the present invention, after determining the fault type of each component in the control cabinet based on the target status feature information and the fault diagnosis boundary conditions, it further includes: a fault emergency control unit; the fault emergency control unit is configured to: Determine the corresponding air conditioner operation control instruction to be issued according to the fault type of each component in the control cabinet and the preset control instruction correspondence relationship, and send the air conditioner operation control instruction to the controller of the air conditioner, so as to control the air conditioner to operate according to the air conditioner operation control instruction through the controller; wherein, the air conditioner operation control instruction corresponds to the fault type; the control instruction correspondence relationship includes the fault types of each component and various air conditioner operation control instructions; the air conditioner operation control instructions include turning off the air conditioner, turning on the air conditioner, or adjusting the air conditioner to the standby state.

[0046] The fault diagnosis device of the air conditioner provided by the present invention obtains the image information of each component in the control cabinet collected by the image acquisition device; extracts the state characteristics of the current operating state of each component in the image information to obtain the target state characteristic information of each component in the control cabinet, and determines the fault type of each component in the control cabinet based on the target state characteristic information and the fault diagnosis boundary conditions, which can effectively improve the efficiency and accuracy of fault diagnosis for various components in the air conditioner control cabinet.

[0047] Figure 5 An example of the physical structure diagram of an electronic device is shown as Figure 5 shown. The electronic device (i.e., the refrigerant detector) may include: a processor 501, a communication interface 504, a memory 502, and a communication bus 503. Among them, the processor 501, the communication interface 504, and the memory 502 communicate with each other through the communication bus 503. The processor 501 can call the logical instructions in the memory 502 to execute the fault diagnosis method of the air conditioner. The method includes: obtaining the image information of each component in the control cabinet collected by the image acquisition device; extracting the state characteristics of the current operating state of each component in the image information to obtain the target state characteristic information of each component in the control cabinet; determining the fault type of each component in the control cabinet based on the target state characteristic information and the fault diagnosis boundary conditions, and sending an alarm prompt message to the associated client according to the fault type.

[0048] In addition, when the logical instructions in the above-mentioned memory 502 are implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the essence of the technical solution of the present application and the part that contributes to the prior art and this technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, and optical disks that can store program codes.

[0049] On the other hand, the present application also provides a computer program product, which includes a computer program that can be stored on a computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the fault diagnosis method of the air conditioner provided by the above-mentioned various methods. The method includes: acquiring the image information of each component in the control cabinet collected by an image acquisition device; extracting the state characteristics of the current operating state of each component in the image information to obtain the target state characteristic information of each component in the control cabinet; based on the target state characteristic information and the fault diagnosis boundary conditions, determining the fault type of each component in the control cabinet, and sending an alarm prompt message to the associated client according to the fault type.

[0050] In another aspect, the present application also provides a computer-readable storage medium, which includes a stored program. When the program runs, it executes the fault diagnosis method of the air conditioner provided by the above-mentioned various methods. The method includes: acquiring the image information of each component in the control cabinet collected by an image acquisition device; extracting the state characteristics of the current operating state of each component in the image information to obtain the target state characteristic information of each component in the control cabinet; based on the target state characteristic information and the fault diagnosis boundary conditions, determining the fault type of each component in the control cabinet, and sending an alarm prompt message to the associated client according to the fault type.

[0051] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place and may also be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0052] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution and the part that contributes to the prior art can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, a network device, etc.) to execute the methods described in each embodiment and some parts of the embodiments.

[0053] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments and perform equivalent replacements for some of the technical features; and these modifications and replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A fault diagnosis system for an air conditioner, which is applied inside the control cabinet of the air conditioner, is characterized in that, Including: A data memory, a processor, and an image acquisition device; the data memory, the image acquisition device, and the processor are communicatively connected. The image acquisition device is disposed inside the control cabinet and is used to acquire image information of each component inside the control cabinet; the data memory stores fault diagnosis boundary conditions for identifying the fault types of the components inside the control cabinet. The processor is used to perform the following steps: Obtain the image information of each component inside the control cabinet acquired by the image acquisition device; Extract state features of the current operating state of each component in the image information to obtain the target state feature information of each component inside the control cabinet; Based on the target state feature information and the fault diagnosis boundary conditions, determine the fault types of each component inside the control cabinet, and send an alarm prompt message to the associated client according to the fault types.

2. The fault diagnosis system of the air conditioner according to claim 1, wherein It further includes: An air conditioner control module; The air conditioner control module is used to obtain the corresponding air conditioner operation control instruction issued by the processor according to the fault types of each component inside the control cabinet, and control the current operating state of the air conditioner according to the air conditioner operation control instruction.

3. The fault diagnosis system of the air conditioner according to claim 1 or 2, characterized in that, It further includes: An interface expansion module; The interface expansion module is communicatively connected to the processor and is used to access an external vision camera device to forward the video data acquired by the vision camera device to the processor for fault diagnosis and analysis.

4. A fault diagnosis method for an air conditioner, applied to the fault diagnosis system of the air conditioner according to claim 1, characterized in that, Including: Obtain the image information of each component inside the control cabinet acquired by the image acquisition device; Extract state features of the current operating state of each component in the image information to obtain the target state feature information of each component inside the control cabinet; Based on the target state feature information and the fault diagnosis boundary conditions, determine the fault types of each component inside the control cabinet, and send an alarm prompt message to the associated client according to the fault types.

5. The fault diagnosis method of the air conditioner according to claim 4, characterized in that The determining the fault types of each component inside the control cabinet based on the target state feature information and the fault diagnosis boundary conditions specifically includes: Perform matching analysis on the target state feature information and the boundary conditions of each fault type in the fault diagnosis boundary conditions respectively to obtain a matching analysis result; Wherein, the fault diagnosis boundary conditions include the color states of the indicator lights respectively corresponding to each component inside the control cabinet, the flashing frequencies of the indicator lights, the appearance states respectively corresponding to each component, and the moving positions of the target parts respectively corresponding to each component; Determine the fault types of each component inside the control cabinet according to the matching analysis result.

6. The fault diagnosis method of the air conditioner according to claim 4, characterized in that, The extracting state features of the current operating state of each component in the image information to obtain the target state feature information of each component inside the control cabinet specifically includes: Input the image information into a preset fault feature model to extract state features of the current operating states of each component, and obtain the target state feature information of each component in the control cabinet output by the fault feature model; wherein, the fault feature model is a neural network model of computer vision trained based on sample image information and state labels corresponding to the sample image information.

7. The fault diagnosis method of the air conditioner according to claim 4, characterized in that, After determining the fault types of each component in the control cabinet based on the target state feature information and fault diagnosis boundary conditions, it further includes: According to the corresponding relationship between the fault types of each component in the control cabinet and preset control instructions, determine the corresponding air conditioner operation control instructions to be issued, and send the air conditioner operation control instructions to the controller of the air conditioner, so as to control the air conditioner to operate according to the air conditioner operation control instructions through the controller; wherein, the air conditioner operation control instructions correspond to the fault types; the control instruction corresponding relationship includes the fault types of each component and various air conditioner operation control instructions; the air conditioner operation control instructions include turning off the air conditioner, turning on the air conditioner, or adjusting the air conditioner to the standby state.

8. A fault diagnosis device for an air conditioner, characterized in that, It includes: An information acquisition unit for acquiring the image information of each component in the control cabinet collected by an image acquisition device; A state feature extraction unit for extracting state features of the current operating states of each component in the image information to obtain the target state feature information of each component in the control cabinet; A fault diagnosis and processing unit for determining the fault types of each component in the control cabinet based on the target state feature information and fault diagnosis boundary conditions, and sending an alarm prompt message to an associated client according to the fault types.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, When the processor executes the program, it implements the steps of the fault diagnosis method of the air conditioner according to any one of claims 4 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the fault diagnosis method of the air conditioner according to any one of claims 4 to 7.

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