Air conditioning unit fault detection method, storage medium and electronic device

Abstract

The present application discloses a method, storage medium, and electronic device for detecting faults in air conditioners, and relates to the field of smart home appliance technology. The method comprises: obtaining operating status data generated by various components in the air conditioner during operation; inputting the operating status data into a preset air conditioner fault recognition model to obtain fault information of various components output by the air conditioner fault recognition model; based on the fault information of each component, obtaining a three-dimensional stereoscopic image with fault information corresponding to each component in the air conditioner, and returning the three-dimensional stereoscopic image to the corresponding client; the air conditioner fault recognition model is trained based on sample operating status data and air conditioner fault labels corresponding to the sample operating status data. The method for detecting faults in air conditioners provided by the present application can promptly detect fault defects in air conditioners, effectively improve the accuracy and efficiency of fault detection in air conditioners, and thus enhance the operational stability of air conditioners.

Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, and in particular to a method for detecting faults of air conditioner units, a storage medium, and an electronic device. Background Art

[0002] In recent years, air conditioning units have become increasingly common in daily life, effectively regulating indoor temperatures and providing users with a high-quality living environment. However, various components in current air conditioning units can malfunction during operation. In many cases, failures are difficult for users to detect in the early stages, which can lead to more serious losses. Manual inspection and judgment processes suffer from poor accuracy and efficiency, making them difficult to meet user needs. Therefore, developing a more accurate and efficient air conditioning unit fault detection solution has become a pressing challenge. Summary of the Invention

[0003] The present application provides an air conditioning unit fault detection method to solve the defects of the prior art air conditioning unit fault detection scheme having high limitations and poor actual detection accuracy and efficiency.

[0004] The present application provides a method for detecting faults in an air conditioning unit, comprising:

[0005] Obtain the operating status data of each component in the air conditioning unit during operation;

[0006] Inputting the operating status data into a preset air conditioner fault identification model to obtain fault information of each component output by the air conditioner fault identification model; based on the fault information of each component, obtaining a three-dimensional image with the fault information corresponding to each component in the air conditioner unit, and returning the three-dimensional image to the corresponding client;

[0007] The air-conditioning fault recognition model is obtained by training based on sample operating status data and air-conditioning fault labels corresponding to the sample operating status data.

[0008] Furthermore, the operating status data includes audio data and vibration intensity data generated by various components in the air conditioning unit during operation;

[0009] The obtaining of the operating status data generated by each component in the air-conditioning unit during operation specifically includes: obtaining the audio data generated by each component in the air-conditioning unit during operation based on the sound sensors corresponding to the each component in the air-conditioning unit; and / or obtaining the vibration intensity data generated by each component in the air-conditioning unit during operation based on the visual sensors corresponding to the each component in the air-conditioning unit.

[0010] Furthermore, the operating status data is input into a preset air-conditioning fault identification model to obtain fault information of each component output by the air-conditioning fault identification model, specifically including: performing a fault probability analysis on the operating status data based on the air-conditioning fault identification model to obtain the probability value of failure of each component corresponding to the operating status data; and when the probability value of failure of each component is greater than or equal to a preset probability threshold, outputting fault information of the corresponding component failure.

[0011] Furthermore, obtaining a three-dimensional image with fault information corresponding to each component in the air-conditioning unit based on the fault information of each component specifically includes:

[0012] Obtaining machine code information corresponding to the air conditioning unit;

[0013] Based on the machine code information, a matching is performed with a preset image correspondence relationship to obtain an original three-dimensional image corresponding to the machine code; wherein the image correspondence relationship is a pre-established association relationship between various types of original three-dimensional images and corresponding machine code information; and the original three-dimensional image corresponds to each component in the air conditioning unit;

[0014] The fault information of each component is integrated into the original three-dimensional image to obtain a three-dimensional image with fault information corresponding to each component in the air-conditioning unit.

[0015] Furthermore, the obtaining of vibration intensity data generated by each component in the air-conditioning unit during operation based on the visual sensors corresponding to each component in the air-conditioning unit specifically includes:

[0016] Based on the visual sensors corresponding to the components in the air-conditioning unit, video data generated by the components in the air-conditioning unit during operation is obtained;

[0017] The vibration characteristics of each component in the video data during operation are extracted to obtain vibration intensity data generated by each component in the air-conditioning unit during operation.

[0018] Furthermore, before inputting the operating status data into a preset air-conditioning fault identification model, it also includes: comparing the audio data in the operating status data with a preset audio decibel threshold, and when the audio data is greater than or equal to the audio decibel threshold, inputting the operating status data into the preset air-conditioning fault identification model; wherein the audio decibel threshold includes multiple different audio decibel thresholds corresponding to each component in the air-conditioning unit.

[0019] Furthermore, after returning the three-dimensional stereoscopic image to the corresponding client, it also includes: matching the fault information marked in the three-dimensional stereoscopic image with the fault information of multiple fault types in a preset fault information library to determine the fault type corresponding to each component in the air-conditioning unit; the fault information includes the fault code information corresponding to each component.

[0020] The present application also provides an air conditioning unit fault detection device, comprising:

[0021] A data acquisition unit is used to acquire the operating status data generated by each component in the air-conditioning unit during operation;

[0022] A fault detection unit is used to input the operating status data into a preset air-conditioning fault recognition model to obtain fault information of each component output by the air-conditioning fault recognition model; based on the fault information of each component, a three-dimensional stereo image with labeled fault information corresponding to each component in the air-conditioning unit is obtained, and the three-dimensional stereo image is returned to the corresponding client; wherein, the air-conditioning fault recognition model is trained based on sample operating status data and air-conditioning fault labels corresponding to the sample operating status data.

[0023] Furthermore, the operating status data includes audio data and vibration intensity data generated by various components in the air conditioning unit during operation;

[0024] The data acquisition unit is specifically used to: acquire audio data generated by each component in the air-conditioning unit during operation based on the sound sensors corresponding to each component in the air-conditioning unit; and / or acquire vibration intensity data generated by each component in the air-conditioning unit during operation based on the visual sensors corresponding to each component in the air-conditioning unit.

[0025] Furthermore, the fault detection unit is specifically used to: perform a fault probability analysis on the operating status data based on the air-conditioning fault identification model to obtain the probability value of failure of each component corresponding to the operating status data; and output fault information of the corresponding component failure when the probability value of failure of each component is greater than or equal to a preset probability threshold.

[0026] Furthermore, the fault detection unit is specifically configured to:

[0027] Obtaining machine code information corresponding to the air conditioning unit;

[0028] Based on the machine code information, a matching is performed with a preset image correspondence relationship to obtain an original three-dimensional image corresponding to the machine code; wherein the image correspondence relationship is a pre-established association relationship between various types of original three-dimensional images and corresponding machine code information; and the original three-dimensional image corresponds to each component in the air conditioning unit;

[0029] The fault information of each component is integrated into the original three-dimensional image to obtain a three-dimensional image with the fault information corresponding to each component in the air-conditioning unit.

[0030] Furthermore, the obtaining of vibration intensity data generated by each component in the air-conditioning unit during operation based on the visual sensors corresponding to each component in the air-conditioning unit specifically includes:

[0031] Based on the visual sensors corresponding to the components in the air-conditioning unit, video data generated by the components in the air-conditioning unit during operation is obtained;

[0032] The vibration characteristics of each component in the video data during operation are extracted to obtain vibration intensity data generated by each component in the air-conditioning unit during operation.

[0033] Furthermore, before inputting the operating status data into the preset air-conditioning fault identification model, it also includes: a preliminary judgment unit, used to compare the audio data in the operating status data with a preset audio decibel threshold, and when the audio data is greater than or equal to the audio decibel threshold, inputting the operating status data into the preset air-conditioning fault identification model; wherein the audio decibel threshold includes multiple different audio decibel thresholds corresponding to each component in the air-conditioning unit.

[0034] Furthermore, after returning the three-dimensional stereoscopic image to the corresponding client, it also includes: a fault type determination unit, which is used to match the fault information marked in the three-dimensional stereoscopic image with the fault information of multiple fault types in a preset fault information library to determine the fault type corresponding to each component in the air-conditioning unit; the fault information includes fault code information corresponding to each component.

[0035] The present application also provides a computer-readable storage medium, which includes a stored program, wherein when the program is run, it executes and implements any of the above-mentioned air-conditioning unit fault detection methods.

[0036] The present application also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned air-conditioning unit fault detection methods.

[0037] The air-conditioning unit fault detection method provided in the present application obtains the operating status data generated by each component in the air-conditioning unit during operation, and inputs the operating status data into a preset air-conditioning fault recognition model to obtain the fault information of each component output by the air-conditioning fault recognition model; based on the fault information of each component, a three-dimensional stereo image with marked fault information corresponding to each component in the air-conditioning unit is obtained, and the three-dimensional stereo image is returned to the corresponding client, which can timely discover the fault defects of the air-conditioning unit, effectively improve the accuracy and efficiency of the air-conditioning unit fault detection, and thus improve the stability of the air-conditioning unit operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0040] Figure 1 It is a flow chart of the air-conditioning unit fault detection method provided by this application;

[0041] Figure 2 This is a specific schematic diagram of a monitoring device for air-conditioning unit fault detection provided by the present application;

[0042] Figure 3 This is a specific flow chart of the monitoring device provided by this application;

[0043] Figure 4 This is a software update diagram for an air conditioning unit provided by this application;

[0044] Figure 5 It is a structural diagram of the air-conditioning unit fault detection device provided by the present application;

[0045] Figure 6 It is a structural diagram of the electronic device provided in this application. DETAILED DESCRIPTION

[0046] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0047] It should be noted that the terms "first", "second", etc. in the specification of the present application and the above-mentioned drawings are used to distinguish similar users and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0048] The following describes in detail the embodiment of the air-conditioning unit fault detection method described in this application. Figure 1 As shown, it is a flow chart of the air-conditioning unit fault detection method provided by this application, and the specific implementation process includes the following steps:

[0049] Step 101: Acquire the operating status data of each component in the air-conditioning unit during operation.

[0050] In an embodiment of the present invention, the operating status data includes but is not limited to audio data, vibration intensity data, and operating data generated by each component in the air-conditioning unit during operation. Specifically, based on the sound sensors corresponding to the components in the air-conditioning unit, the audio data generated by each component in the air-conditioning unit during operation is obtained; and / or, based on the visual sensors corresponding to the components in the air-conditioning unit, the vibration intensity data generated by each component in the air-conditioning unit during operation is obtained. Wherein, the various components structurally include indoor units, outdoor fans, connecting pipes, etc., and of course may also include but are not limited to compressors, condensers, evaporators, expansion valves, controllers, axial fans, etc.

[0051] In the process of obtaining the vibration intensity data generated by each component in the air-conditioning unit during operation based on the visual sensors corresponding to the each component in the air-conditioning unit, it is necessary to obtain the video data generated by each component in the air-conditioning unit during operation in advance based on the visual sensors corresponding to the each component in the air-conditioning unit, and then extract the vibration characteristics of each component in the video data during operation to obtain the vibration intensity data generated by each component in the air-conditioning unit during operation.

[0052] Step 102: Input the operating status data into a preset air conditioner fault recognition model to obtain fault information for each component output by the air conditioner fault recognition model; based on the fault information for each component, obtain a three-dimensional image labeled with the fault information for each component within the air conditioner unit, and return the three-dimensional image to the corresponding client. The air conditioner fault recognition model is trained based on sample operating status data and the air conditioner fault labels corresponding to the sample operating status data.

[0053] In an embodiment of the present invention, model training is required before executing this step, and the data features of the operating status data when the air-conditioning unit is operating normally are recorded N times (N is a positive integer greater than or equal to 1); the data features of the operating status data when the air-conditioning unit is operating abnormally are recorded N' (N' is a positive integer greater than or equal to 1) times. The data features of the operating status data of the air-conditioning unit in the abnormal state are extracted to obtain and identify the data features of the operating status data of the abnormal operation of each component (i.e., the air-conditioning module), and the air-conditioning module currently executing the abnormality is determined. The operating status data with the data features extracted above is used as sample operating status data, and the air-conditioning fault recognition model obtained by training based on the sample operating status data and the air-conditioning fault label corresponding to the sample operating status data is used to accurately determine the current fault information. The air-conditioning fault label includes the label of the fault type corresponding to each component in the air-conditioning unit.

[0054] In an embodiment of this step, a fault probability analysis can be performed on the operating status data based on the air conditioning fault identification model to obtain a probability value for each component failure corresponding to the operating status data; if the probability value for each component failure is greater than or equal to a preset probability threshold, fault information indicating the corresponding component failure is output. In the process of obtaining a three-dimensional image with labeled fault information corresponding to each component within the air conditioning unit based on the fault information of each component, it is first necessary to obtain the machine code information corresponding to the air conditioning unit, match the machine code information with a preset image correspondence, and obtain an original three-dimensional image corresponding to the machine code. The fault information of each component is integrated into the original three-dimensional image to obtain a three-dimensional image with labeled fault information corresponding to each component within the air conditioning unit. The image correspondence is a pre-established association between various types of original three-dimensional images and corresponding machine code information. The original three-dimensional image corresponds to each component within the air conditioning unit. Specifically, the cloud server generates a 3D image of the relevant air conditioner model using backend data, pre-processes the monitoring data uploaded by the monitoring device, and determines whether the current air conditioner unit is operating normally. If normal, it displays the normal status. If abnormal, it determines which air conditioner module is faulty and annotates the corresponding air conditioner module in the original 3D image. The current fault information is then displayed based on the 3D image. It should be noted that each air conditioner model has a unique machine code. The monitoring data includes the operating status data generated by each component within the air conditioner unit during operation.

[0055] like Figure 2 As shown, the monitoring device of the present invention may include a power module, a barcode scanning module, an MCU control unit, an audio and video acquisition module, a data storage module, and a 5G WIFI module. The power module provides power to the monitoring device. The barcode scanning module is used to scan the machine code information (i.e., unit code information) on the air conditioning unit. It can scan multiple units, marking the first unit code information scanned as the master unit, and the unit codes scanned thereafter as slaves 1 to N. The MCU control unit sends a network access request to the air conditioning unit via the Zigbee wireless communication module. After network access is granted, the air conditioning unit's monitoring device begins monitoring the air conditioning unit's communication data and synchronously stores it in the data storage module. The audio and video acquisition module is used to monitor and capture the audio and video images (i.e., audio and video data) of the current air conditioning unit and synchronously stores them in the data storage module. The data storage module is used to store the audio and video data and related communication data and upload the data to the 5G WIFI module. The 5G WIFI module is used to join the home network and, leveraging the high speed, low latency, and high reliability of the 5G network, upload the collected audio and video data and communication data to a cloud server.

[0056] Furthermore, before inputting the operating status data into a preset air conditioning fault identification model, the audio data in the operating status data may be pre-compared with a preset audio decibel threshold. If the audio data is greater than or equal to the audio decibel threshold, the operating status data is input into the preset air conditioning fault identification model. The audio decibel threshold may include multiple different audio decibel thresholds corresponding to various components within the air conditioning unit. After returning the three-dimensional image to the corresponding client, the fault type corresponding to each component within the air conditioning unit may be determined based on the fault information annotated in the three-dimensional image and the fault information of various fault types in a preset fault information library. The fault information may include the fault code information corresponding to each component.

[0057] like Figure 3 As shown, the wireless monitoring device (i.e., monitoring device) collects monitoring data from the air conditioning unit, uploads the monitoring data to the cloud server, matches it to obtain the corresponding three-dimensional stereo image, and finally uploads the three-dimensional stereo image to the monitoring management platform. The air conditioning unit may include a host, slave 1, and slave 2. In addition, the present invention can also perform software updates on the air conditioning unit. Figure 4 As shown, during the software update process of the air-conditioning unit, the MAC address can be obtained from the host and slave 1 based on the wireless monitoring device, and the MAC address can be uploaded to the cloud server. The MAC address is uploaded to the software information platform through the cloud server, and the software information platform sends the software version to the cloud server. Then, the cloud server sends the software version to the corresponding air-conditioning unit based on the MAC address for software version update.

[0058] The air-conditioning unit fault detection method provided in the present application obtains the operating status data generated by each component in the air-conditioning unit during operation, and inputs the operating status data into a preset air-conditioning fault recognition model to obtain the fault information of each component output by the air-conditioning fault recognition model; based on the fault information of each component, a three-dimensional stereo image with marked fault information corresponding to each component in the air-conditioning unit is obtained, and the three-dimensional stereo image is returned to the corresponding client, which can timely discover the fault defects of the air-conditioning unit, effectively improve the accuracy and efficiency of the air-conditioning unit fault detection, and thus improve the stability of the air-conditioning unit operation.

[0059] The following describes the air conditioning unit fault detection device provided by the present application. The air conditioning unit fault detection device described below and the air conditioning unit fault detection method described above can be referenced to each other. Figure 5 As shown in FIG, it is a structural diagram of the air conditioning unit fault detection device provided by the present application. The air conditioning unit fault detection device described in the present application specifically includes the following parts:

[0060] The data acquisition unit 501 is used to acquire the operating status data generated by each component in the air conditioning unit during operation;

[0061] The fault detection unit 502 is used to input the operating status data into a preset air-conditioning fault recognition model to obtain the fault information of each component output by the air-conditioning fault recognition model; based on the fault information of each component, obtain a three-dimensional stereoscopic image with the fault information corresponding to each component in the air-conditioning unit, and return the three-dimensional stereoscopic image to the corresponding client; wherein, the air-conditioning fault recognition model is trained based on the sample operating status data and the air-conditioning fault label corresponding to the sample operating status data.

[0062] Furthermore, the operating status data includes audio data and vibration intensity data generated by various components in the air conditioning unit during operation;

[0063] The data acquisition unit is specifically used to: acquire audio data generated by each component in the air-conditioning unit during operation based on the sound sensors corresponding to each component in the air-conditioning unit; and / or acquire vibration intensity data generated by each component in the air-conditioning unit during operation based on the visual sensors corresponding to each component in the air-conditioning unit.

[0064] Furthermore, the fault detection unit is specifically used to: perform a fault probability analysis on the operating status data based on the air-conditioning fault identification model to obtain the probability value of failure of each component corresponding to the operating status data; and output fault information of the corresponding component failure when the probability value of failure of each component is greater than or equal to a preset probability threshold.

[0065] Furthermore, the fault detection unit is specifically configured to:

[0066] Obtaining machine code information corresponding to the air conditioning unit;

[0067] Based on the machine code information, a matching is performed with a preset image correspondence relationship to obtain an original three-dimensional image corresponding to the machine code; wherein the image correspondence relationship is a pre-established association relationship between various types of original three-dimensional images and corresponding machine code information; and the original three-dimensional image corresponds to each component in the air conditioning unit;

[0068] The fault information of each component is integrated into the original three-dimensional image to obtain a three-dimensional image with fault information corresponding to each component in the air-conditioning unit.

[0069] Furthermore, the obtaining of vibration intensity data generated by each component in the air-conditioning unit during operation based on the visual sensors corresponding to each component in the air-conditioning unit specifically includes:

[0070] Based on the visual sensors corresponding to the components in the air-conditioning unit, video data generated by the components in the air-conditioning unit during operation is obtained;

[0071] The vibration characteristics of each component in the video data during operation are extracted to obtain vibration intensity data generated by each component in the air-conditioning unit during operation.

[0072] Furthermore, before inputting the operating status data into the preset air-conditioning fault identification model, it also includes: a preliminary judgment unit, used to compare the audio data in the operating status data with a preset audio decibel threshold, and when the audio data is greater than or equal to the audio decibel threshold, inputting the operating status data into the preset air-conditioning fault identification model; wherein the audio decibel threshold includes multiple different audio decibel thresholds corresponding to each component in the air-conditioning unit.

[0073] Furthermore, after returning the three-dimensional stereoscopic image to the corresponding client, it also includes: a fault type determination unit, which is used to match the fault information marked in the three-dimensional stereoscopic image with the fault information of multiple fault types in a preset fault information library to determine the fault type corresponding to each component in the air-conditioning unit; the fault information includes fault code information corresponding to each component.

[0074] The air-conditioning unit fault detection device provided in the present application obtains the operating status data generated by each component in the air-conditioning unit during operation, and inputs the operating status data into a preset air-conditioning fault recognition model to obtain the fault information of each component output by the air-conditioning fault recognition model; based on the fault information of each component, a three-dimensional stereo image with marked fault information corresponding to each component in the air-conditioning unit is obtained, and the three-dimensional stereo image is returned to the corresponding client, which can timely discover the fault defects of the air-conditioning unit, effectively improve the accuracy and efficiency of the air-conditioning unit fault detection, and thus improve the stability of the air-conditioning unit operation.

[0075] Figure 3 The following is a schematic diagram of the physical structure of an electronic device. Figure 6As shown, the electronic device may include: a processor 601, a communication interface 604, a memory 602, and a communication bus 603, wherein the processor 601, the communication interface 604, and the memory 602 communicate with each other via the communication bus 603. The processor 601 may call the logic instructions in the memory 602 to execute an air-conditioning unit fault detection method, which includes: obtaining operating status data generated by each component in the air-conditioning unit during operation; inputting the operating status data into a preset air-conditioning fault recognition model to obtain fault information of each component output by the air-conditioning fault recognition model; based on the fault information of each component, obtaining a three-dimensional stereoscopic image with fault information corresponding to each component in the air-conditioning unit, and returning the three-dimensional stereoscopic image to the corresponding client; wherein the air-conditioning fault recognition model is trained based on sample operating status data and air-conditioning fault labels corresponding to the sample operating status data.

[0076] In addition, the logic instructions in the above-mentioned memory 602 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0077] On the other hand, the present application also provides a computer program product, which includes a computer program, which can be stored on a computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the air-conditioning unit fault detection method provided by the above methods, the method including: obtaining operating status data generated by each component in the air-conditioning unit during operation; inputting the operating status data into a preset air-conditioning fault recognition model to obtain fault information of each component output by the air-conditioning fault recognition model; based on the fault information of each component, obtaining a three-dimensional stereo image with fault information corresponding to each component in the air-conditioning unit, and returning the three-dimensional stereo image to the corresponding client; wherein, the air-conditioning fault recognition model is trained based on sample operating status data and air-conditioning fault labels corresponding to the sample operating status data.

[0078] On the other hand, the present application also provides a computer-readable storage medium, which includes a stored program, wherein the air-conditioning unit fault detection method provided by the above-mentioned methods is executed when the program is run, and the method includes: obtaining operating status data generated by each component in the air-conditioning unit during operation; inputting the operating status data into a preset air-conditioning fault recognition model to obtain fault information of each component output by the air-conditioning fault recognition model; based on the fault information of each component, obtaining a three-dimensional stereoscopic image with labeled fault information corresponding to each component in the air-conditioning unit, and returning the three-dimensional stereoscopic image to the corresponding client; wherein the air-conditioning fault recognition model is trained based on sample operating status data and air-conditioning fault labels corresponding to the sample operating status data.

[0079] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0080] 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, or of course, by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the existing technology 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, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or certain parts of the embodiments.

[0081] 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 them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent corresponding modifications to some of the technical features therein. These modifications or corresponding modifications do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for detecting faults in an air-conditioning unit, characterized in that: include: Obtain the operating status data of each component in the air conditioning unit during operation; Inputting the operating status data into a preset air conditioner fault recognition model to obtain fault information of each component output by the air conditioner fault recognition model; based on the fault information of each component, obtaining a three-dimensional stereoscopic image labeled with fault information corresponding to each component in the air conditioner unit, and returning the three-dimensional stereoscopic image to the corresponding client; wherein the air conditioner fault recognition model is trained based on sample operating status data and air conditioner fault labels corresponding to the sample operating status data, and is used to perform fault probability analysis on the operating status data; The step of obtaining a three-dimensional image with fault information corresponding to each component in the air-conditioning unit based on the fault information of each component includes: Obtaining machine code information corresponding to the air conditioning unit; Based on the machine code information, a matching is performed with a preset image correspondence relationship to obtain an original three-dimensional image corresponding to the machine code; wherein the image correspondence relationship is a pre-established association relationship between various types of original three-dimensional images and corresponding machine code information; and the original three-dimensional image corresponds to each component in the air conditioning unit; The fault information of each component is integrated into the original three-dimensional image to obtain a three-dimensional image with the fault information corresponding to each component in the air-conditioning unit.

2. The air conditioning unit fault detection method according to claim 1, characterized in that: Inputting the operating status data into a preset air conditioner fault identification model to obtain fault information of each component output by the air conditioner fault identification model specifically includes: Based on the air-conditioning fault identification model, a fault probability analysis is performed on the operating status data to obtain the probability value of failure of each component corresponding to the operating status data; when the probability value of failure of each component is greater than or equal to a preset probability threshold, fault information of the corresponding component failure is output.

3. The air conditioning unit fault detection method according to claim 1, characterized in that: The operating status data includes audio data and vibration intensity data generated by various components in the air conditioning unit during operation; The obtaining of the operating status data generated by each component in the air-conditioning unit during operation specifically includes: obtaining audio data generated by each component in the air-conditioning unit during operation based on a sound sensor corresponding to each component in the air-conditioning unit; And / or, based on the visual sensors corresponding to the components in the air-conditioning unit, the vibration intensity data generated by the components in the air-conditioning unit during operation is obtained.

4. The air conditioning unit fault detection method according to claim 3, characterized in that: The obtaining of vibration intensity data generated by each component in the air-conditioning unit during operation based on the visual sensors corresponding to each component in the air-conditioning unit specifically includes: Based on the visual sensors corresponding to the components in the air-conditioning unit, video data generated by the components in the air-conditioning unit during operation is obtained; The vibration characteristics of each component in the video data during operation are extracted to obtain vibration intensity data generated by each component in the air-conditioning unit during operation.

5. The air conditioning unit fault detection method according to claim 1, characterized in that: Before inputting the operating status data into a preset air-conditioning fault identification model, it also includes: comparing the audio data in the operating status data with a preset audio decibel threshold, and when the audio data is greater than or equal to the audio decibel threshold, inputting the operating status data into the preset air-conditioning fault identification model; wherein the audio decibel threshold includes a plurality of different audio decibel thresholds corresponding to each component in the air-conditioning unit.

6. The air conditioning unit fault detection method according to claim 1, characterized in that: After returning the three-dimensional stereoscopic image to the corresponding client, the method further includes: Based on matching the fault information marked in the three-dimensional image with fault information of multiple fault types in a preset fault information library, the fault type corresponding to each component in the air-conditioning unit is determined; the fault information includes fault code information corresponding to each component.

7. An air conditioning unit fault detection device, characterized in that: include: A data acquisition unit is used to acquire the operating status data generated by each component in the air-conditioning unit during operation; a fault detection unit, configured to input the operating status data into a preset air-conditioning fault identification model to obtain fault information of each component output by the air-conditioning fault identification model; Based on the fault information of each component, a three-dimensional image labeled with the fault information corresponding to each component in the air-conditioning unit is obtained, and the three-dimensional image is returned to the corresponding client; wherein the air-conditioning fault recognition model is trained based on the sample operating status data and the air-conditioning fault labels corresponding to the sample operating status data, and is used to perform fault probability analysis on the operating status data; The step of obtaining a three-dimensional image with fault information corresponding to each component in the air-conditioning unit based on the fault information of each component includes: Obtaining machine code information corresponding to the air conditioning unit; Based on the machine code information, a matching is performed with a preset image correspondence relationship to obtain an original three-dimensional image corresponding to the machine code; wherein the image correspondence relationship is a pre-established association relationship between various types of original three-dimensional images and corresponding machine code information; and the original three-dimensional image corresponds to each component in the air conditioning unit; The fault information of each component is integrated into the original three-dimensional image to obtain a three-dimensional image with fault information corresponding to each component in the air-conditioning unit.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the air conditioning unit fault detection method according to any one of claims 1 to 6 is executed when the program is executed.

9. An electronic device comprising a memory and a processor, characterized in that: The memory stores a computer program, and the processor is configured to execute the air conditioning unit fault detection method according to any one of claims 1 to 6 through the computer program.

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