Fault recognition method, device and equipment for clothes treatment equipment and storage medium

Abstract

The invention belongs to the technical field of electric appliances, and particularly relates to a fault recognition method, device and equipment for clothes treatment equipment and a storage medium, and the method comprises the steps: obtaining a first operation sound signal of the clothes treatment equipment in a first collection duration in a current clothes treatment stage; determining a first sound parameter of the current clothes processing stage according to the first operation sound signal; the sound parameter range of the current clothes processing stage is obtained, and each clothes processing stage corresponds to the respective sound parameter range; according to the first sound parameter and the sound parameter range, whether the clothes processing equipment operates normally or not is judged, abnormity of the clothes processing equipment is found as early as possible, damage to the clothes processing equipment and occurrence of operation accidents caused by abnormity are avoided, and operation safety of the clothes processing equipment is ensured.

Description

Technical Field

[0001] The present application belongs to the field of electrical appliance technology, and specifically relates to a fault identification method, device, equipment and storage medium for clothing processing equipment. Background Art

[0002] With the continuous improvement of production technology and the continuous growth of user demand, users' requirements for clothing processing equipment are also getting higher and higher.

[0003] In the current clothing treatment equipment, due to the limited understanding and knowledge of users, in actual use scenarios, if there is an abnormality in operation, it is often discovered by users only after obvious abnormal phenomena such as making a lot of noise or failing to operate occur. When faced with the above situation, the user usually solves it by notifying the after-sales staff and waiting for the after-sales staff to come to the site to investigate the cause of the fault and fix the fault.

[0004] However, such a troubleshooting method consumes a lot of manpower and material resources, and the acquisition of fault information is delayed. Due to the limited manpower and working time constraints of after-sales personnel, it is often inefficient and faults cannot be handled in a timely manner, resulting in users being unable to use the product for a long time or even the fault worsening, which seriously affects the user experience. Summary of the invention

[0005] In response to the above problems, the present application provides a fault identification method, device, equipment and storage medium for a clothing processing device.

[0006] In a first aspect, the present application provides a method for identifying a fault of a clothes processing device, the method comprising:

[0007] Acquiring a first operating sound signal of the laundry processing device during a first collection time in a current laundry processing stage;

[0008] determining a first sound parameter of the current laundry processing stage according to the first operating sound signal;

[0009] Acquiring a sound parameter range of the current laundry processing stage, wherein each laundry processing stage corresponds to a respective sound parameter range;

[0010] It is determined whether the clothes processing device operates normally according to the first sound parameter and the sound parameter range.

[0011] Optionally, the obtaining of the sound parameter range of the current laundry processing stage includes:

[0012] Obtaining a device identification of a clothing processing device;

[0013] According to the device identification, acquiring, from a sound parameter database, sound parameter ranges of a plurality of clothing processing stages corresponding to the device identification;

[0014] The sound parameter range of the current clothing processing stage is acquired from the sound parameter ranges of the plurality of clothing processing stages corresponding to the device identifier.

[0015] Optionally, judging whether the clothes processing device operates normally according to the first sound parameter and the sound parameter range includes:

[0016] Determining whether the first sound parameter is within the sound parameter range;

[0017] If so, then continue to obtain the first sound parameter of the next first acquisition duration after the first interval duration, until the first sound parameter is no longer within the sound parameter range, or enters the next clothing processing stage, wherein the first interval duration continues to increase;

[0018] If not, continue to obtain the second operating sound signal of the clothing processing device for a second collection time, and judge whether the clothing processing device operates normally based on the second operating sound signal, and the second collection time is greater than the first collection time.

[0019] Optionally, judging whether the clothes processing device operates normally according to the second operating sound signal includes:

[0020] determining a second sound parameter of the current laundry processing stage according to the second operating sound signal;

[0021] Determining whether the second sound parameter is within the sound parameter range;

[0022] If the second sound parameter is not within the sound parameter range, it is determined that the laundry processing device is not operating normally.

[0023] Optionally, if the second sound parameter is within the sound parameter range, the method further includes:

[0024] After the second interval time, continue to obtain the third sound parameter of the next third acquisition time until the third sound parameter is out of the sound parameter range, and determine that the clothing processing device is operating abnormally, or enter the next clothing processing stage;

[0025] The third collection duration is between the first collection duration and the second collection duration, the second interval duration is shorter than the first interval duration, and the second interval duration increases continuously.

[0026] Optionally, determining the first sound parameter of the current laundry processing stage according to the first operating sound signal includes:

[0027] Acquire a plurality of characteristic frequency band data of the first operating sound signal;

[0028] Obtaining a set of objective sound quality parameters according to the characteristic frequency band data, wherein the set of objective sound quality parameters includes at least one of A-weighted sound pressure level, binaural loudness, sharpness, jitter intensity, roughness, prominence rate, pitch or pure tone prominence ratio;

[0029] A weighted summation process is performed according to the sound quality customer parameter set to obtain the first sound parameter.

[0030] Optionally, after determining that the laundry processing device is not operating normally, the method further includes:

[0031] Obtaining a reference range of each objective parameter corresponding to the current laundry processing stage;

[0032] Acquire abnormal customer parameters according to the true value of each objective parameter in the sound quality objective parameter set and the reference range;

[0033] The fault type is determined according to a preset correspondence between the abnormal objective parameter and the fault type, wherein the preset correspondence is used to indicate a correspondence between the fault type and the abnormal objective parameter caused by the fault type.

[0034] In a second aspect, the present application provides a fault identification device for a clothes processing device, the device comprising:

[0035] A processing module, used for acquiring a first operation sound signal of the clothes processing device for a first collection time in a current clothes processing stage;

[0036] a determination module, configured to determine a first sound parameter of the current laundry processing stage according to the first operation sound signal;

[0037] an acquisition module, configured to acquire a sound parameter range of the current clothing processing stage, wherein each clothing processing stage corresponds to a respective sound parameter range;

[0038] The judging module is used to judge whether the clothes processing device operates normally according to the first sound parameter and the sound parameter range.

[0039] In a third aspect, the present application provides a clothes processing device, comprising: a memory and at least one processor;

[0040] The memory is used to store computer programs;

[0041] The at least one processor is configured to run the computer program stored in the memory to implement the method according to the first aspect.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon;

[0043] When the computer program is executed by a processor, the method according to the first aspect is implemented.

[0044] The fault identification method of the clothing processing equipment provided in the present application obtains the first operating sound signal of the clothing processing equipment for the first collection time in the current clothing processing stage; determines the first sound parameter of the current clothing processing stage according to the first operating sound signal; obtains the sound parameter range of the current clothing processing stage, wherein each clothing processing stage corresponds to its own sound parameter range; determines whether the clothing processing equipment is operating normally according to the first sound parameter and the sound parameter range, discovers the abnormality of the clothing processing equipment as early as possible, avoids it from causing damage to the clothing processing equipment and the occurrence of operating accidents, and ensures the safe operation of the clothing processing equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] 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.

[0046] Figure 1 Schematic diagram of the process of the fault identification method of the clothing processing device provided in this application Figure 1 ;

[0047] Figure 2 Schematic diagram of the process of the fault identification method of the clothing processing device provided in this application Figure 2 ;

[0048] Figure 3 A schematic diagram of the structure of a fault identification device for a clothing processing device provided in the present application;

[0049] Figure 4 A schematic structural diagram of a clothing processing device provided in this application.

[0050] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0052] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the present invention can be implemented in an order other than that shown or described.

[0053] In the embodiments of the present application, the words "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0054] With the continuous improvement of production technology and the continuous growth of user demand, users' requirements for clothing processing equipment are also getting higher and higher.

[0055] In the current clothing processing equipment, due to the limited understanding and knowledge of users, in actual use scenarios, if there is an abnormality in operation, users will not notice it immediately. Often, users will only discover it after obvious abnormal phenomena such as a lot of loud noise or the equipment stops working. When faced with the above situation, the usual solution is to notify after-sales personnel and wait for after-sales personnel to come to the site to investigate the cause of the fault and fix the fault.

[0056] However, such a troubleshooting method consumes a lot of manpower and material resources, and the acquisition of abnormal information is delayed. Users continue to use the clothing processing equipment without noticing the abnormal operation of the clothing processing equipment, which causes the abnormality of the clothing processing equipment to further deteriorate and even causes hardware damage. After the user discovers the abnormality and reports it for repair, due to limited manpower and working time constraints of after-sales personnel, the processing of user reports is often inefficient, the abnormality cannot be detected and handled in time, and on-site repairs without determining the cause of the abnormality are often difficult to solve the problem in one visit and require multiple visits, which consumes a lot of manpower and material resources, resulting in users being unable to use the product for a long time, seriously affecting the user experience.

[0057] In view of the above problems, the present invention proposes the following technical concept: during the operation of the clothing processing device, the operation sound of each stage of the clothing processing program is automatically collected, and based on the collected operation sound of the clothing processing device, it is judged whether the clothing processing device has an operation abnormality, so as to find out the abnormality of the clothing processing device as early as possible and prompt the user to avoid further damage to the device. And by further analyzing the collected operation sound, the specific cause of the abnormality is determined to provide help for subsequent use and maintenance.

[0058] Figure 1 Schematic diagram of the process of the fault identification method of the clothing processing device provided in the embodiment of the present application Figure 1 ;like Figure 1 As shown, the fault identification method of the clothing processing device provided in the embodiment of the present application includes:

[0059] S101: Acquire a first operating sound signal of the laundry processing device for a first collection time in a current laundry processing stage.

[0060] Among them, the first collection duration is the duration of the first round of collection of operating sound signals by the clothing processing device in the current clothing processing stage, and the first operating sound signal is the first round of collection of operating sound signals by the clothing processing device in the current clothing processing stage.

[0061] It is understandable that when the clothes processing device executes the clothes processing program, most clothes processing programs will include several different clothes processing stages, for example, the washing program will include the washing stage, the rinsing stage and the dehydration stage. In different clothes processing stages, the operation mode of the clothes processing device is different, and the operation sound emitted will also have different characteristics. Therefore, during the execution of each clothes processing program, the first operation sound signal of the first collection time in the current clothes processing stage can be collected once in different clothes processing stages.

[0062] Specifically, the clothing processing equipment collects the operating sound audio of the current clothing processing stage through a sound collection device arranged therein, the duration of collecting the audio is a first collection duration, and the collected audio is processed into sound signal data, namely, a first operating sound signal.

[0063] S102: Determine a first sound parameter of the current laundry processing stage according to the first operating sound signal.

[0064] The first sound parameter is an objective parameter reflecting the characteristics of the first operating sound signal.

[0065] Specifically, the clothing processing device obtains the first sound parameter of the current clothing processing stage through a sound signal analysis algorithm based on the first operating sound signal. The first sound parameter may be, for example, the sound power, sound intensity or sound pressure level of the first operating sound signal.

[0066] S103: Acquire the sound parameter range of the current laundry processing stage.

[0067] Each clothing processing stage corresponds to a respective sound parameter range, and the sound parameter range is used to indicate the sound parameter range of the operating sound signal generated when the clothing processing device operates normally in the current clothing processing stage.

[0068] It is understandable that in different washing programs and their different clothing processing stages, the operating modes of the clothing processing equipment are different, and the operating sounds emitted will also have different characteristics. Therefore, a large number of experiments can be conducted in advance to collect a sufficient number of operating sound signal samples of the clothing processing equipment in different clothing processing stages, determine the parameter range of the normal operating sound of the clothing processing equipment in different clothing processing stages, and preset the corresponding sound parameter ranges for different clothing processing stages.

[0069] Specifically, the clothing processing device obtains the current clothing processing stage, and obtains the parameter range of at least one sound parameter corresponding to the current clothing processing stage according to the preset correspondence between different clothing processing stages and sound parameter ranges.

[0070] S104: judging whether the clothes processing device operates normally according to the first sound parameter and the sound parameter range.

[0071] Specifically, the clothing processing device determines whether the numerical value of the first sound parameter of the current clothing processing stage is within the parameter range of the sound parameter corresponding to the current clothing processing stage based on the acquired parameter range of the sound parameter corresponding to the current clothing processing stage and the first sound parameter of the current clothing processing stage; if so, the clothing processing device operates normally.

[0072] The fault identification method provided in the embodiment of the present application automatically obtains the operating sound signals of each stage of the clothing processing program during the operation of the clothing processing device, determines the sound parameters of the current clothing processing stage according to the operating sound signals, and judges whether the clothing processing device has an operating abnormality according to whether the sound parameters of the current clothing processing stage exceed the sound parameter range of the current clothing processing stage. Once an abnormality occurs in the clothing processing device, the abnormality is discovered in time to avoid damage to the clothing processing device and the occurrence of operating accidents caused by the abnormality, thereby ensuring the safe operation of the clothing processing device.

[0073] Psychoacoustics is a marginal discipline that studies the relationship between sound and the hearing it causes. Psychoacoustic parameters, also known as objective sound quality parameters in the manufacturing industry, are objective physical quantities that describe the degree of difference in subjective perception caused by different sound signals. Psychoacoustic parameters that have been widely studied at home and abroad include loudness, sharpness, jitter intensity, pitch, and speech clarity.

[0074] It is a consensus in the field of acoustics to use dB (decibel) sound pressure level to measure the volume of sound. As for psychoacoustics, due to the presence of people and considering that the human ear is insensitive to low frequencies, the low frequency part is attenuated to obtain the A-weighted sound pressure level. However, traditional sound parameters, such as A-weighted sound pressure level, cannot well reflect the sound quality perceived by the human ear. The sound quality here refers to the overall feeling of comfort or discomfort after hearing the sound, or the feeling of quality other than the acoustic quality of the equipment that produces the sound, such as the feeling of engine power, structural stability, etc.

[0075] In engineering, the abnormal noise generated by equipment during operation is collectively referred to as "abnormal noise". Specifically, although the A-weighted sound pressure level meets the standard, the sound is extremely uncomfortable with a roar or sharp sound. The main harm of "abnormal noise" is to make people around the equipment irritable and reduce the user experience of the equipment. Because its formation is affected by factors such as unreasonable structural design, structural resonance, acoustic space distribution and human hearing characteristics, the traditional A-weighted sound pressure level cannot effectively identify the generation mechanism of abnormal noise and guide the development of corresponding control technology.

[0076] The fault identification method provided in the embodiment of the present application uses a traditional spectrum analysis method in combination with objective sound quality parameters to analyze the sound generated when the clothing processing device is running to determine whether there is an abnormal operation problem. If the clothing processing device has an abnormal operation problem, the specific cause of the abnormal operation is determined based on the analysis results of the objective sound quality parameters.

[0077] Figure 2 Schematic diagram of the process of the fault identification method of the clothing processing device provided in the embodiment of the present application Figure 2 ;like Figure 2 As shown, the fault identification method of the clothing processing device provided in the embodiment of the present application includes:

[0078] S201: Acquire a first operating sound signal of the laundry processing device for a first collection time in a current laundry processing stage.

[0079] The implementation method of step S201 is similar to the implementation method of step S101, and will not be described in detail in this embodiment.

[0080] S202: Determine a first sound parameter of the current laundry processing stage according to the first operating sound signal.

[0081] Optionally, the sound parameter is an evaluation value reflecting the operating sound quality.

[0082] According to the first operation sound signal, a specific method for determining the first sound parameter of the current laundry processing stage may be, for example:

[0083] A plurality of characteristic frequency band data of the first operation sound signal is obtained.

[0084] Among them, the multiple characteristic frequency band data are multiple characteristic frequency band data based on which objective parameters of sound quality are calculated. For example, the characteristic frequency band data based on which binaural loudness is calculated is 1 / 3 octave band spectrum data within the auditory range, and the characteristic frequency band data based on which sharpness is calculated is critical frequency band data of the energy concentration frequency of the noise signal, and so on.

[0085] Specifically, the clothing processing device executes a preset sound quality objective parameter calculation algorithm to obtain a plurality of characteristic frequency band data of the first operating sound signal.

[0086] A sound quality objective parameter set is obtained according to the characteristic frequency band data.

[0087] The objective sound quality parameter set includes at least one of A-weighted sound pressure level, binaural loudness, sharpness, jitter intensity, roughness, prominence, tonality or pure tone prominence ratio.

[0088] Specifically, the clothing processing device obtains the sound quality objective parameter by executing the calculation algorithm corresponding to each sound quality objective parameter according to the preset correspondence between each sound quality objective parameter and the calculation algorithm and according to multiple characteristic frequency band data of the first operating sound signal.

[0089] A weighted summation process is performed according to the sound quality objective parameter set to obtain a first sound parameter.

[0090] The sound parameter is an evaluation value reflecting the sound quality.

[0091] Among them, the specific method of performing weighted summation processing may be, for example, substituting the calculated sound quality parameter set into a predetermined sound parameter function model, and the method of determining the sound parameter formula may be, for example, establishing a multivariate linear regression model, wherein the independent variables of the model include A-weighted sound pressure level, binaural loudness, sharpness, jitter intensity, roughness, prominence rate, pitch and pure tone prominence ratio, and the dependent variable of the model is the sound parameter. The method of determining the weights of the multiple independent variables may be, for example, conducting a subjective evaluation test on the operating sound of the clothing processing equipment in advance, using a paired comparison method, playing the sound samples in pairs, and the evaluator making relevant judgments based on this, and indirectly estimating the subjective evaluation value of the evaluated object; performing regression analysis on the multiple groups of subjective evaluation values ​​obtained from the subjective evaluation test and the sound parameters determined according to the multiple groups of initial weights, and continuously adjusting the weights of the multiple independent variables according to the regression analysis results, and finally obtaining a regression model with a high degree of fit, for example, a degree of fit of more than 0.95, as the final sound parameter function model.

[0092] Specifically, the clothes processing device substitutes the calculated sound quality parameter set into a predetermined sound parameter function model, performs weighted sum processing on the sound quality parameters in the sound quality parameter set, and obtains the first sound parameter.

[0093] S203: Acquire the device identification of the clothing processing device.

[0094] The device identification of the clothes processing device is used to indicate the model of the clothes processing device.

[0095] It is understandable that different types of clothes processing equipment have different operating sound characteristics, so different types of clothes processing equipment can be tested separately to obtain a large number of sound signal samples when they are in normal operation, and the sound parameter ranges corresponding to different types of clothes processing equipment can be determined based on the samples. When determining whether the clothes processing equipment is operating normally, the equipment identification of the clothes processing equipment is obtained to match its corresponding sound parameter range.

[0096] Specifically, the clothes processing device obtains its own device identification, and the device identification may be, for example, a model code of the clothes processing device.

[0097] S204: Acquire, according to the device identification, from a sound parameter database, sound parameter ranges of a plurality of clothing processing stages corresponding to the device identification.

[0098] Specifically, the clothing processing device obtains the sound parameter ranges of the multiple clothing processing stages stored in the sound parameter database from a database table whose table name includes the device identifier.

[0099] S205: Acquire the sound parameter range of the current clothing processing stage from the sound parameter ranges of the plurality of clothing processing stages corresponding to the device identifier.

[0100] Specifically, the clothing processing device obtains the stage identifier of the current clothing processing stage, and determines the sound parameter range corresponding to the current clothing processing stage according to the correspondence between the sound parameter range and the stage identifier in the database table.

[0101] S206: Determine whether the first sound parameter is within the sound parameter range.

[0102] If yes, execute step S207; if no, execute step S208.

[0103] The implementation method of step S206 is similar to the implementation method of step S104, and will not be described in detail in this embodiment.

[0104] S207: If yes, then continue to obtain the first sound parameter of the next first collection time after the first interval time, until the first sound parameter is no longer within the sound parameter range, or enter the next clothing processing stage.

[0105] The first interval duration is the interval duration between the end time of each collection and the start time of the next collection in the first round of collection of the clothing processing device in the current clothing processing stage, and the first interval duration increases continuously.

[0106] It can be understood that if in this judgment, the first sound parameter is within the sound parameter range, then it can be preliminarily determined that the clothing processing equipment is operating normally during the time period of sound collection. At this time, the first sound parameter of the next first collection time can be obtained after the first interval time, until the first sound parameter is no longer within the sound parameter range, or the next clothing processing stage is entered to determine whether the clothing processing equipment is always operating normally during the entire clothing processing stage, that is, continue to intermittently obtain sound parameters according to the first interval time and perform abnormal detection.

[0107] When the previous judgment result is normal operation, it can be considered that the probability of abnormal operation of the clothing processing device is smaller than the previous judgment. Therefore, the first interval time can continue to increase with the number of acquisitions to reduce the waste of unnecessary detection.

[0108] S208: If not, continue to acquire the second operating sound signal of the clothes processing device for a second collection time.

[0109] Among them, the second collection duration is the duration of the second round of collection of operating sound signals by the clothing processing device in the current clothing processing stage, the second operating sound signal is the operating sound signal collected by the clothing processing device in the second round in the current clothing processing stage, and the second collection duration is greater than the first collection duration.

[0110] It can be understood that if in this judgment, the first sound parameter is not within the sound parameter range, it can be preliminarily judged that the clothing processing equipment did not operate normally during the time period of the operating sound collection. At this time, the second operating sound signal of the clothing processing equipment for the second collection time can be continued to be obtained, and based on the second operating sound signal, it can be judged whether the clothing processing equipment is operating normally, and further determined whether the clothing processing equipment is operating abnormally.

[0111] Since the previous judgment result is abnormal operation, a more accurate further judgment is needed on the operating sound of the clothing processing equipment. Therefore, the second collection time is longer than the first collection time, and more sound signal samples can be obtained to obtain a more accurate judgment result.

[0112] S209: Determine a second sound parameter of the current laundry processing stage according to the second operating sound signal.

[0113] The implementation method of step S209 is similar to the implementation method of step S202, and will not be described in detail in this embodiment.

[0114] S210: Determine whether the second sound parameter is within the sound parameter range.

[0115] The implementation method of step S210 is similar to the implementation method of step S104, and will not be described in detail in this embodiment.

[0116] If yes, execute step S211; if no, execute step S212.

[0117] S211: If the second sound parameter is within the sound parameter range, continue to obtain the third sound parameter for the next third acquisition time after a second interval time, until the third sound parameter is no longer within the sound parameter range, and determine that the clothing processing equipment is operating abnormally, or enter the next clothing processing stage.

[0118] Among them, the third collection duration is the duration of the third round of collection of operating sound signals by the clothing processing device in the current clothing processing stage, the third operating parameter is the sound parameter determined according to the operating sound signal collected by the clothing processing device in the third round in the current clothing processing stage, the second interval duration is the interval between the end time of each collection and the start time of the next collection in the third round of collection by the clothing processing device in the current clothing processing stage, the third collection duration is between the first collection duration and the second collection duration, the second interval duration is less than the first interval duration, and the second interval duration continues to increase.

[0119] It is understandable that if in this judgment, the second sound parameter is within the sound parameter range, then it can be secondarily judged that the clothing processing device is operating normally during the time period of the second collection of the operating sound; and in the previous judgment, if the first sound parameter is not within the sound parameter range, then it can be preliminarily judged that the clothing processing device is not operating normally during the time period of the first collection of the operating sound; at this time, the two judgment results are contradictory, and it is necessary to continue to collect and judge the operating sound of the current clothing processing device to ensure the accuracy of the final judgment result. Therefore, the third sound parameter of the next third collection time can be obtained after the second interval time, until the third sound parameter is not within the sound parameter range, and it is determined that the clothing processing device is operating abnormally, or enters the next clothing processing stage, so as to obtain a more accurate and comprehensive judgment result.

[0120] Since the results of the previous two judgments are contradictory, a more accurate further judgment is needed on the operating sound of the clothing processing equipment. Therefore, the third collection time is longer than the first collection time, and more sound signal samples can be obtained. The second interval time is shorter than the first interval time, so that the sound judgment within the same time is more frequent than the initial judgment as normal, so that the judgment result can more comprehensively reflect the operating status of the clothing processing equipment, so as to obtain a more accurate judgment result.

[0121] During the judgment process, when the previous judgment result is normal operation, it can be considered that the probability of abnormal operation of the clothing processing equipment is smaller than that of the previous judgment. Therefore, the second interval duration can continue to increase with the number of acquisitions to reduce the waste of unnecessary detection.

[0122] S212: If the second sound parameter is not within the sound parameter range, it is determined that the laundry processing device is not operating normally.

[0123] It can be understood that if in this judgment, the second sound parameter is not within the sound parameter range, then it can be secondly judged that the clothing processing equipment is not operating normally during the time period of the second collection of the operating sound; and in the previous judgment, if the first sound parameter is not within the sound parameter range, then it can be preliminarily judged that the clothing processing equipment is not operating normally during the time period of the first collection of the operating sound; at this time, the two judgment results are consistent, and it can be determined that the clothing processing equipment is not operating normally.

[0124] Optionally, after determining that the laundry processing device is not operating normally, executing step S213.

[0125] S213: Obtaining a reference range of each objective parameter corresponding to the current laundry processing stage.

[0126] The reference range of each objective parameter is used to indicate the value range of the objective parameter of the operating sound signal of the laundry processing device when the laundry processing device operates normally in the current laundry processing stage.

[0127] Specifically, the clothing processing device obtains the reference range of each objective parameter of the multiple clothing processing stages stored in the sound parameter database from a database table whose table name includes the device identifier. The clothing processing device obtains the stage identifier of the current clothing processing stage, and determines the reference range of each objective parameter corresponding to the current clothing processing stage according to the correspondence between the reference range of each objective parameter in the database table and the stage identifier.

[0128] S214: Acquire an abnormal objective parameter according to the true value of each objective parameter in the sound quality objective parameter set and the reference range.

[0129] Specifically, the clothing processing device determines whether the numerical value of each objective parameter is within the reference range of each objective parameter based on the reference range of each objective parameter corresponding to the current clothing processing stage and the true value of each objective parameter; if so, the objective parameter is normal; if not, the objective parameter is an abnormal objective parameter.

[0130] S215: Determine the fault type according to the preset corresponding relationship between the objective parameters of the abnormality and the fault type.

[0131] The preset corresponding relationship is used to indicate the corresponding relationship between the fault type and the abnormal objective parameter caused by the fault type.

[0132] It is understandable that when the clothing processing equipment is in an abnormal operating state caused by different reasons, the operating sound characteristics it emits often have large differences, and this difference can be reflected in the subjective feeling of abnormality or discomfort brought to people, and the specific parameters in the sound quality objective parameter set can fully reflect the difference in this subjective feeling. For example, when the clothes are overloaded and hit the outer drum to produce abnormal noise, people feel that the operating sound of the clothing processing equipment is too loud, and at this time, the binaural loudness and A-weighted sound pressure level of its operating sound are abnormal; when the electromagnetic water inlet valve fails and produces abnormal noise, people feel that the operating sound of the clothing processing equipment is sharp and harsh, and at this time, the sharpness and tone of its operating sound are abnormal; therefore, according to the operating sound characteristics of the abnormalities caused by different fault types of the clothing processing equipment, the objective parameters of the abnormalities caused by different fault types can be determined, and a corresponding relationship between the fault type and the objective parameters of the abnormalities caused by the fault type can be established, so that after determining the objective parameters of the abnormality, the corresponding fault type can be determined according to the preset corresponding relationship.

[0133] The preset corresponding relationship may be, for example, as shown in the following table: Fault type Abnormal objective parameters Loose screws Roughness + Sharpness Poor sound quality of drainage system Jitter Strength Uneven bottom Roughness + Binaural Loudness Hanger Press and Jitter intensity + binaural loudness Clothes entangled and hit the box Binaural Loudness Excessive load causes abnormal noise in the motor tone Clothes overload hitting the outer drum Binaural loudness + A-weighted sound pressure level Solenoid water inlet valve Sharpness + Tone The counterweight is loose and hits the washing machine structure Binaural loudness + A-weighted sound pressure level Counterweight block falling off Roughness + Sharpness

[0134] Optionally, after determining the fault type based on the preset correspondence between the objective parameters of the abnormality and the fault type, the clothing processing device stops the current clothing processing program and outputs prompt information corresponding to the fault type based on the preset correspondence between the fault type and the fault prompt information, so as to prompt the user that the clothing processing device has a fault and the specific fault type.

[0135] Among them, the prompt information includes the identification of the fault type. The prompt information can be, for example, a voice broadcast of "The clothing processing equipment has a fault, and the fault type is loose screws." It can also be the fault type displayed on the panel of the clothing processing equipment. This embodiment does not limit the specific form of the prompt information.

[0136] Optionally, the clothing processing device stops the running of the current clothing processing program, and outputs the prompt information corresponding to the fault type according to the correspondence between the preset fault type and the fault prompt information. Then, the clothing processing device determines the fault handling program corresponding to the fault type according to the correspondence between the preset fault type and the fault handling program, and executes the fault handling program.

[0137] Continuing to refer to the above example, when the fault type is clothes entangled and hitting the box, the clothes processing device determines that the fault handling program corresponding to the fault type is an automatic untangling program based on the correspondence between the preset fault type and the fault handling program, and executes the automatic untangling program; when the fault type is excessive load causing abnormal noise from the motor, the clothes processing device determines that the fault handling program corresponding to the fault type is an alarm program based on the correspondence between the preset fault type and the fault handling program, and executes the alarm program to prompt the user to remove the excess load.

[0138] The fault identification method provided in the embodiment of the present application uses the traditional spectrum analysis method and combines the objective parameters of sound quality to obtain and analyze the sound signals generated by the clothing processing equipment during operation for multiple times to determine whether there is an abnormal operation problem, thereby ensuring the accuracy of the abnormal identification result; if the clothing processing equipment has an abnormal operation problem, the specific cause of the abnormal operation is determined based on the analysis results of the objective parameters of sound quality, and prompt information is output based on the abnormal cause. While ensuring the safe operation of the clothing processing equipment, the impact of its abnormal noise on the subjective feelings of surrounding users is taken into consideration, thereby improving the user's safety and experience.

[0139] Figure 3 A schematic diagram of the structure of a fault identification device for a clothes processing device provided in an embodiment of the present application; Figure 3 As shown, the present application provides a fault identification device for a clothes processing device, and the fault identification device 300 for the clothes processing device includes:

[0140] The processing module 301 is used to obtain a first operation sound signal of the clothes processing device for a first collection time in a current clothes processing stage;

[0141] A determination module 302, configured to determine a first sound parameter of the current laundry processing stage according to the first operation sound signal;

[0142] An acquisition module 303 is used to acquire the sound parameter range of the current laundry processing stage, wherein each laundry processing stage corresponds to its own sound parameter range;

[0143] The judgment module 304 is used to judge whether the clothing processing device operates normally according to the first sound parameter and the sound parameter range.

[0144] Optionally, the acquisition module 303 is specifically used to obtain the equipment identification of the clothing processing equipment; based on the equipment identification, obtain the sound parameter ranges of multiple clothing processing stages corresponding to the equipment identification from the sound parameter database; and obtain the sound parameter range of the current clothing processing stage from the sound parameter ranges of multiple clothing processing stages corresponding to the equipment identification.

[0145] Optionally, the judging module 304 is specifically configured to judge whether the first sound parameter is within the sound parameter range;

[0146] When the first sound parameter is within the sound parameter range, the processing module 301 is further configured to continue acquiring the first sound parameter of the next first acquisition duration after a first interval duration, until the first sound parameter is no longer within the sound parameter range or the next clothing processing stage is entered, wherein the first interval duration continues to increase;

[0147] When the first sound parameter is not within the sound parameter range, the processing module 301 is further configured to continue to acquire a second operating sound signal of the clothing processing device for a second collection time, the second collection time being longer than the first collection time;

[0148] The judging module 304 is further configured to judge whether the clothing processing device operates normally according to the second operating sound signal.

[0149] Optionally, the determination module 302 is specifically configured to determine a second sound parameter of the current laundry processing stage according to the second operation sound signal;

[0150] The judging module 304 is specifically configured to judge whether the second sound parameter is within the sound parameter range;

[0151] The determining module 304 is further configured to determine that the laundry processing device is not operating normally when the second sound parameter is not within the sound parameter range.

[0152] Optionally, when the second sound parameter is within the sound parameter range, the processing module 301 is further configured to continue acquiring the third sound parameter of the next third acquisition duration after the second interval duration, until the third sound parameter is no longer within the sound parameter range, and determine that the clothing processing device is operating abnormally, or enter the next clothing processing stage;

[0153] The third collection duration is between the first collection duration and the second collection duration, the second interval duration is shorter than the first interval duration, and the second interval duration increases continuously.

[0154] Optionally, the processing module 301 is specifically used to obtain multiple characteristic frequency band data of the first operating sound signal;

[0155] The determination module 302 is specifically configured to obtain a sound quality objective parameter set according to the characteristic frequency band data, wherein the sound quality objective parameter set includes at least one of A-weighted sound pressure level, binaural loudness, sharpness, jitter intensity, roughness, prominence, pitch or pure tone prominence ratio; and perform weighted summation processing according to the sound quality customer parameter set to obtain the first sound parameter.

[0156] Optionally, after determining that the laundry processing device is not operating normally, the acquisition module 303 is further used to acquire a reference range of each objective parameter corresponding to the current laundry processing stage;

[0157] The determination module 302 is further configured to obtain an abnormal customer parameter according to a true value of each objective parameter in the sound quality objective parameter set and the reference range; and determine the fault type according to a preset correspondence between the abnormal objective parameter and the fault type, wherein the preset correspondence is used to indicate a correspondence between the fault type and the abnormal objective parameter caused by the fault type.

[0158] Figure 4 A structural schematic diagram of a clothing processing device provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, the clothes processing device 400 includes: at least one processor 401 and a memory 402; in addition, the clothes processing device 400 may also have a communication interface 404 for receiving and sending instructions.

[0159] Wherein, the processor 401, the memory 402 and the communication interface 404 are connected via a bus 503;

[0160] The computer program is stored in the memory 402 and is configured to be executed by the processor 401 to implement the present application. Figure 1-Figure 2 A method for identifying a fault of a clothes processing device provided by any corresponding embodiment;

[0161] Figure 4 The clothing processing device of the illustrated embodiment can be used to execute the technical solution of the above-mentioned method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0162] In addition, this embodiment further provides a computer-readable storage medium on which a computer program is stored. The computer program is executed by a processor to implement the fault identification method of the clothing processing device of the above embodiment.

[0163] In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0164] 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 or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0165] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0166] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (processor) to perform some steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0167] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example for illustration. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0168] So far, the technical solution of the present application has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments, and the above embodiments are only used to illustrate the technical solution of the present application rather than to limit it. 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 replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for identifying a fault of a clothes processing device, characterized in that: The method comprises: Acquiring a first operating sound signal of the laundry processing device during a first collection time in a current laundry processing stage; determining a first sound parameter of the current laundry processing stage according to the first operating sound signal; Acquiring a sound parameter range of the current laundry processing stage, wherein each laundry processing stage corresponds to a respective sound parameter range; It is determined whether the clothes processing device operates normally according to the first sound parameter and the sound parameter range.

2. The method according to claim 1, characterized in that The step of obtaining the sound parameter range of the current laundry processing stage includes: Obtaining a device identification of a clothing processing device; According to the device identification, acquiring, from a sound parameter database, sound parameter ranges of a plurality of clothing processing stages corresponding to the device identification; The sound parameter range of the current clothing processing stage is acquired from the sound parameter ranges of the plurality of clothing processing stages corresponding to the device identifier.

3. The method according to claim 1, characterized in that The determining, based on the first sound parameter and the sound parameter range, whether the clothes processing device operates normally includes: Determining whether the first sound parameter is within the sound parameter range; If so, then continue to obtain the first sound parameter of the next first acquisition duration after the first interval duration, until the first sound parameter is no longer within the sound parameter range, or enters the next clothing processing stage, wherein the first interval duration continues to increase; If not, continue to obtain the second operating sound signal of the clothing processing device for a second collection time, and judge whether the clothing processing device operates normally based on the second operating sound signal, and the second collection time is greater than the first collection time.

4. The method according to claim 3, characterized in that The determining, according to the second operation sound signal, whether the clothes processing device operates normally includes: determining a second sound parameter of the current laundry processing stage according to the second operating sound signal; Determining whether the second sound parameter is within the sound parameter range; If the second sound parameter is not within the sound parameter range, it is determined that the laundry processing device is not operating normally.

5. The method according to claim 4, characterized in that If the second sound parameter is within the sound parameter range, the method further includes: After the second interval time, continue to obtain the third sound parameter of the next third acquisition time until the third sound parameter is out of the sound parameter range, and determine that the clothing processing device is operating abnormally, or enter the next clothing processing stage; The third collection duration is between the first collection duration and the second collection duration, the second interval duration is shorter than the first interval duration, and the second interval duration increases continuously.

6. The method according to claim 1, characterized in that The step of determining the first sound parameter of the current laundry processing stage according to the first operation sound signal includes: Acquire a plurality of characteristic frequency band data of the first operating sound signal; Obtaining a set of objective sound quality parameters according to the characteristic frequency band data, wherein the set of objective sound quality parameters includes at least one of A-weighted sound pressure level, binaural loudness, sharpness, jitter intensity, roughness, prominence rate, pitch or pure tone prominence ratio; A weighted summation process is performed according to the sound quality customer parameter set to obtain the first sound parameter.

7. The method according to claim 6, characterized in that After determining that the laundry processing device is not operating normally, the method further includes: Obtaining a reference range of each objective parameter corresponding to the current laundry processing stage; Acquire abnormal customer parameters according to the true value of each objective parameter in the sound quality objective parameter set and the reference range; The fault type is determined according to a preset correspondence between the abnormal objective parameter and the fault type, wherein the preset correspondence is used to indicate a correspondence between the fault type and the abnormal objective parameter caused by the fault type.

8. A fault identification device for a clothes processing device, characterized in that: The device comprises: A processing module, used for acquiring a first operation sound signal of the clothes processing device for a first collection time in a current clothes processing stage; a determination module, configured to determine a first sound parameter of the current laundry processing stage according to the first operation sound signal; an acquisition module, configured to acquire a sound parameter range of the current clothing processing stage, wherein each clothing processing stage corresponds to a respective sound parameter range; The judging module is used to judge whether the clothes processing device operates normally according to the first sound parameter and the sound parameter range.

9. A clothes processing device, characterized in that: include: memory and at least one processor; The memory is used to store computer programs; The at least one processor is configured to execute the computer program stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon; When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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