Fault processing method and device for household appliance and household appliance

Abstract

The invention relates to the technical field of intelligent household appliances, and discloses a fault processing method for household appliances. The fault processing method comprises the following steps: matching a fault component and a to-be-replaced spare part of the household appliance; under the condition that the matching between the fault component and the spare part to be replaced fails, determining a weight coefficient of a plurality of pieces of fault information corresponding to the fault component of the household appliance; and determining a fault processing recommendation scheme of the fault component according to the weight coefficients of the multiple pieces of fault information. According to the fault processing method, the fault processing recommendation scheme is provided for the maintenance personnel in an intelligent mode, each step from fault spare part determination to target spare part selection is not required to be manually operated by the maintenance personnel, and the fault processing intelligence of the household appliance is improved. The invention further discloses a fault processing device for the household appliance and the household appliance.

Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, for example, to a fault handling method, device and home appliance for home appliances. Background Art

[0002] With the continuous upgrading and iteration of home appliances, the functions of home appliances are increasing, resulting in an increasing number of components in home appliances. Often, when a home appliance fails, it is impossible to determine the faulty component in the home appliance.

[0003] In order to determine the faulty component in a home appliance, the relevant technology usually requires maintenance personnel to go to the site to troubleshoot the home appliance. When the faulty component is found, it is necessary to manually scan the QR code of the home appliance to obtain the model information of the home appliance, and then manually select the spare part corresponding to the model of the home appliance as the target spare part to replace the faulty component.

[0004] In the process of implementing the embodiments of the present disclosure, it was found that the related technology has at least the following problems: although the related technology can determine the target spare parts by scanning the relevant information of the home appliance, the related technology requires manual operation by maintenance personnel in each step from determining the faulty spare parts to selecting the target spare parts, which is not intelligent enough.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present application, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical components or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0007] The embodiments of the present disclosure provide a method, an apparatus and a household appliance for handling a fault of a household appliance, so as to improve the intelligence of handling a fault of the household appliance.

[0008] In some embodiments, a fault handling method for household appliances includes: matching faulty components of the household appliance and spare parts to be replaced; in the event that the faulty components and spare parts to be replaced fail to match, determining weight coefficients of multiple fault information corresponding to the faulty components of the household appliance; and determining a recommended fault handling solution for the faulty components based on the weight coefficients of the multiple fault information.

[0009] Optionally, the faulty component and the spare part to be replaced of the household appliance are matched in the following manner: faulty component parameters of the faulty component, and spare part parameters of the spare part to be replaced are obtained; the faulty component parameters are matched with the spare part parameters; in case that the faulty component parameters and the spare part parameters are mismatched, it is determined that the matching of the faulty component and the spare part to be replaced has failed; or, faulty component operation data of the household appliance when the faulty component is running, and spare part operation data of the household appliance when the spare part to be replaced is obtained; in case that the faulty component operation data and the spare part operation data are mismatched, it is determined that the matching of the faulty component and the spare part to be replaced has failed.

[0010] Optionally, a recommended fault handling solution for a faulty component is determined based on weight coefficients of multiple fault information, including: determining target fault information from multiple fault information in descending order of the weight coefficients of the fault information; and using the fault handling solution corresponding to the target fault information as a recommended fault handling solution.

[0011] Optionally, the fault handling plan corresponding to the target fault information is determined in the following manner: when the target fault information includes the current operating state of the household appliance, the fault handling plan includes determining the components with abnormal operating states in the current operating state, and adjusting the operating parameters of the components with abnormal operating states; and / or, when the target fault information includes historical operating data of the household appliance, the fault handling plan includes determining the failure probability value of each component in the household appliance based on the historical operating data, and updating the fault component based on the failure probability value of each component; and / or, when the target fault information includes the failure history of the household appliance, the fault handling plan includes determining the latest fault history content in the fault history, and determining the solution corresponding to the latest fault history content as the fault handling plan; and / or, when the target fault information includes the environment in which the household appliance is located, the fault handling plan includes determining the number of failures of each component of the household appliance in the environment, and updating the fault component based on the number of failures of each component.

[0012] Optionally, the recommended fault handling plan includes obtaining a target spare part of the faulty component to update the spare part to be replaced; determining the target spare part in the following manner: upgrading component parameters of the spare part to be replaced corresponding to the faulty component, and obtaining operating data of the spare part to be replaced when the household appliance is running the upgraded spare part; obtaining operating data of the faulty component when the household appliance is running the faulty component; matching the operating data of the faulty component and the operating data of the spare part to be replaced; determining the adapted spare part operating data in the spare part operating data that is correctly adapted to the faulty component operating data, and using the spare part to be replaced corresponding to the adapted spare part operating data as the target spare part.

[0013] Optionally, upgrading component parameters of the spare parts to be selected corresponding to the faulty components includes: when the spare parts to be selected include control parts, upgrading component parameters of the control parts; and / or, when the spare parts to be selected include mechanical parts, determining matching components in the household appliance that are used in conjunction with the mechanical parts; and upgrading component parameters of the matching components.

[0014] Optionally, the fault handling method further includes: determining the adoption status of the fault handling recommendation plan; and updating the weight coefficient of the fault information corresponding to the fault handling recommendation plan according to the adoption status of the fault handling recommendation plan.

[0015] Optionally, based on the adoption of the recommended fault handling solution, the weight coefficient of the fault information corresponding to the recommended fault handling solution is updated, including: calculating the adoption rate of the recommended fault handling solution corresponding to each piece of fault information; adjusting the weight coefficient of the fault information according to the adoption rate; wherein the weight coefficient is positively correlated with the adoption rate.

[0016] In some embodiments, a fault handling device for a household appliance includes a processor and a memory storing program instructions, and the processor is configured to execute the fault handling method for the household appliance as described above when running the program instructions.

[0017] In some embodiments, the household appliance includes: a household appliance body; and, the fault handling device for the household appliance as described above, installed on the household appliance body.

[0018] The fault handling method, device and home appliance provided by the embodiments of the present disclosure can achieve the following technical effects:

[0019] By matching the faulty components of the home appliance with the spare parts to be replaced, it is confirmed whether the current fault handling solution can solve the fault problem of the home appliance. In the case where the faulty components and the spare parts to be replaced fail to match, it indicates that the current fault handling solution cannot solve the fault problem of the home appliance. Therefore, by determining the weight coefficients of multiple fault information corresponding to the faulty components of the home appliance, the fault handling recommendation solution of the faulty components is determined according to the weight coefficients of the multiple fault information. In this way, the fault handling recommendation solution is given to the maintenance personnel in an intelligent way, and each step from determining the faulty spare parts to selecting the target spare parts does not need to be manually operated by the maintenance personnel, which improves the intelligence of the fault handling of home appliances.

[0020] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein:

[0022] Figure 1 is a schematic diagram of the structure of a household appliance provided by an embodiment of the present disclosure;

[0023] Figure 2 is a schematic diagram of a method for troubleshooting a household appliance provided by an embodiment of the present disclosure;

[0024] Figure 3 is a schematic diagram of another method for troubleshooting a household appliance provided by an embodiment of the present disclosure;

[0025] Figure 4 is a schematic diagram of another method for troubleshooting a household appliance provided by an embodiment of the present disclosure;

[0026] Figure 5 is a schematic diagram of another method for troubleshooting a household appliance provided by an embodiment of the present disclosure;

[0027] Figure 6 It is a schematic diagram of a fault handling device for household appliances provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0029] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned 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 embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0030] Unless otherwise stated, the term "plurality" means two or more.

[0031] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.

[0032] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0033] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other.

[0034] like Figure 1 As shown, an embodiment of the present disclosure provides a household appliance 1. The household appliance 1 includes: a household appliance body 10, a faulty component and an electric control device. The electric control device includes a processor, and the processor is used to match the faulty component with the spare part to be replaced, and determine a recommended fault handling solution to realize various functions of the household appliance.

[0035] Among them, the household electrical appliances may be refrigerators, air conditioners, chillers, etc. The following takes the household electrical appliances as an example of air conditioners. The air conditioners include common components such as motors, host computers, computer boards, and drive components.

[0036] The host computer refers to the component that controls the operation of the motor.

[0037] A faulty component refers to a combination of a part that needs to be replaced and a part that works in conjunction with the part that needs to be replaced. For example, in an air-conditioning unit, if the part that needs to be replaced is a motor, the motor works under the control of a host computer, so the host computer is a part that works in conjunction with the motor. In this way, the motor and the host computer together constitute a faulty component.

[0038] The failed assembly includes a failed component, and the failed component represents a component that needs to be replaced.

[0039] The spare part to be replaced refers to a new spare part corresponding to the faulty component in the faulty assembly. For example, when the faulty component is a motor, the spare part to be replaced is a new motor.

[0040] Combined with Figure 1 The household appliance shown in the figure, the embodiment of the present disclosure provides a method for troubleshooting a household appliance. Figure 2 As shown, the fault handling method includes:

[0041] S201, the processor matches the faulty components of the home appliance and the spare parts to be replaced.

[0042] S202: When the faulty component and the spare part to be replaced fail to match, the processor determines weight coefficients of multiple pieces of fault information corresponding to the faulty component of the household appliance.

[0043] Exemplarily, the plurality of fault information includes one or more of fault history, current operating state, environment and historical operating data, wherein each type of fault information corresponds to a weight coefficient.

[0044] S203: The processor determines a recommended fault handling solution for the faulty component according to weight coefficients of the plurality of fault information.

[0045] In this embodiment, the faulty components of the household appliance are matched with the spare parts to be replaced to confirm whether the current fault handling solution can solve the fault problem of the household appliance. In the case where the faulty components and the spare parts to be replaced fail to match, it indicates that the current fault handling solution cannot solve the fault problem of the household appliance. Therefore, the weight coefficients of multiple fault information corresponding to the faulty components of the household appliance are determined, and then the fault handling recommendation solution of the faulty components is determined according to the weight coefficients of the multiple fault information. In this way, the fault handling recommendation solution is given to the maintenance personnel in an intelligent way, and each step from determining the faulty spare parts to selecting the target spare parts does not need to be manually operated by the maintenance personnel, thereby improving the intelligence of the fault handling of the household appliance.

[0046] Optionally, the processor matches the faulty component of the household appliance with the spare part to be replaced in the following manner: the processor obtains faulty component parameters of the faulty component and spare part parameters of the spare part to be replaced. The processor matches the faulty component parameters with the spare part parameters. If the faulty component parameters and the spare part parameters are incorrectly adapted, the processor determines that the faulty component and the spare part to be replaced fail to match.

[0047] Exemplarily, the processor may obtain faulty component parameters of a faulty component and spare part parameters of a spare part to be replaced in the following manner: an identification device identifies the identifier of the faulty component and the identifier of the spare part to be replaced, respectively, and uploads the read faulty component parameters and spare part parameters to the processor.

[0048] The fault component parameters include the fault component model information, and the spare part parameters include the spare part model information.

[0049] The identification device may be a code scanning device, a mobile phone, software on a mobile phone (e.g., code scanning software), or a camera device. The identification may be a barcode, a nameplate, or other identification with model information. For example, the identification device is the code scanning software on a mobile phone, and the identification is the nameplate: the nameplate of the faulty component and the nameplate of the spare part to be replaced are scanned by the code scanning software on the mobile phone, and the code scanning software can automatically identify the contents on the nameplate of the faulty component and the nameplate of the spare part to be replaced, so as to read the model information of the faulty component and the model information of the spare part. For example, the identification device is a camera device, and the identification is a nameplate: the nameplate of the faulty component and the nameplate of the spare part to be replaced are photographed by the camera device, and the camera device automatically photographs the contents on the nameplate of the faulty component and the nameplate of the spare part to be replaced, so as to read the model information of the faulty component and the model information of the spare part.

[0050] In this embodiment, the processor analyzes the faulty component model information and the spare part model information read by the identification device to match the faulty component and the spare part to be replaced. In the case of a model information adaptation error, it is determined that the matching of the faulty component and the spare part to be replaced fails. Through this matching method, the matching status of the faulty component and the spare part to be replaced can be determined.

[0051] Optionally, the processor matches the faulty component of the household appliance with the spare part to be replaced in the following manner: the processor obtains the faulty component operation data of the household appliance when the faulty component is running, and the spare part operation data of the household appliance when the spare part to be replaced is running. If the faulty component operation data and the spare part operation data are mismatched, the processor determines that the faulty component and the spare part to be replaced fail to match.

[0052] The operating data of the faulty component can be obtained during the operation of the faulty component. The operating data of the spare part can be obtained during the operation of the spare part to be replaced. The spare part to be replaced can be installed in the home appliance corresponding to the faulty component for operation, or installed in the home appliance of the same model as the home appliance for operation. In this way, the spare part operating data of the spare part to be replaced can be accurately obtained.

[0053] In this embodiment, whether the faulty component and the spare part to be replaced match each other is determined through the operation data of the faulty component and the spare part to be replaced during operation, so that the compatibility of the faulty component and the spare part to be replaced can be determined.

[0054] Optionally, the processor matches the faulty component of the household appliance with the spare part to be replaced in the following manner: the processor obtains faulty component parameters of the faulty component and spare part parameters of the spare part to be replaced. The processor matches the faulty component parameters with the spare part parameters. In the case where the faulty component parameters and the spare part parameters are mismatched, the processor obtains the faulty component operation data of the household appliance when the faulty component is running and the spare part operation data of the household appliance when the spare part to be replaced is running. The processor determines the adaptation of the faulty component operation data and the spare part operation data.

[0055] In this embodiment, the adaptation of the parameters of the faulty component and the parameters of the spare part to be replaced is first determined. In the case of an adaptation error, the adaptation of the operating data of the faulty component and the operating data of the spare part is then determined. The final matching result is determined by adapting the faulty component to the spare part to be replaced multiple times. It is not necessary for the model of the faulty component to correspond to the model of the spare part to be replaced one by one, which expands the range of spare parts that the faulty component can match, so that many spare parts can be matched with household appliances, thereby improving the versatility of spare parts.

[0056] Optionally, the processor determines the fault handling recommended solution for the fault component according to the weight coefficients of the multiple fault information, including: the processor determines the target fault information from the multiple fault information in descending order of the weight coefficients of the fault information, and the processor uses the fault handling solution corresponding to the target fault information as the fault handling recommended solution.

[0057] Exemplarily, multiple fault information includes fault history, current operating status, environment and historical operating data, and the weight coefficients are 0.5, 0.2, 0.2 and 0.1 respectively. In this case, the target fault information among the multiple fault information is determined to be the fault history, so that the fault handling solution corresponding to the fault history is determined to be the recommended fault handling solution. It should be noted that the weight coefficient corresponding to each fault information is dynamically adjusted, so the target fault information among the multiple fault information can include any one of the fault history, current operating status, environment and historical operating data.

[0058] In this embodiment, a fault handling solution corresponding to each fault information is determined through multiple fault information, and a fault handling recommendation solution is further determined through the fault handling solution, so that the fault handling recommendation solution is more abundant and accurate.

[0059] like Figure 3 As shown, the embodiment of the present disclosure provides another fault handling method for household appliances. The fault handling method includes:

[0060] S301: The processor matches the faulty components of the home appliance and the spare parts to be replaced.

[0061] S302: When the faulty component and the spare part to be replaced fail to match, the processor determines weight coefficients of multiple fault information corresponding to the faulty component of the home appliance.

[0062] S303: The processor determines target fault information among the multiple fault information in descending order of the weight coefficients of the fault information.

[0063] S304: The processor uses the fault handling solution corresponding to the target fault information as a recommended fault handling solution.

[0064] Optionally, the processor determines the fault handling solution corresponding to the target fault information in the following manner: when the target fault information includes the current operating state of the home appliance, the fault handling solution includes determining the components with abnormal operating state in the current operating state, and adjusting the operating parameters of the components with abnormal operating state. And / or, when the target fault information includes the historical operating data of the home appliance, the fault handling solution includes determining the fault probability value of each component in the home appliance according to the historical operating data, and updating the fault component according to the fault probability value of each component. And / or, when the target fault information includes the fault history of the home appliance, the fault handling solution includes determining the latest fault history content in the fault history, and determining the solution corresponding to the latest fault history content as the fault handling solution. And / or, when the target fault information includes the environment of the home appliance, the fault handling solution includes determining the number of faults of each component of the home appliance in the environment, and updating the fault component according to the number of faults of each component.

[0065] In this embodiment, each fault information corresponds to a fault handling solution. By determining the target fault information and determining the recommended fault handling method corresponding to the target fault information, the recommended spare parts can be determined quickly and efficiently to determine the fault state of the home appliance, thereby improving the efficiency and accuracy of the home appliance fault handling.

[0066] Exemplarily, the processor determines a component with an abnormal operating state in the current operating state, including: the processor compares the current operating parameters of each component with the corresponding preset operating parameters, and the processor determines a component whose current operating parameter is greater than or less than the preset operating parameter as a component with an abnormal operating state.

[0067] Exemplarily, the processor adjusting the operating parameters of the component with the abnormal operating status includes: the processor adjusting the current operating parameters of the component with the abnormal operating status to preset operating parameters.

[0068] In this embodiment, by determining the components in the household appliance whose current operating status is abnormal and adjusting the operating parameters of the components with abnormal operation, all components in the household appliance can operate stably, thereby reducing the failure frequency of the household appliance.

[0069] Exemplarily, the processor determines the fault probability value of each component in the household appliance according to the historical operation data, including: calculating the Euclidean distance value between the historical operation data and the real-time operation data of each component in the household appliance by using the Euclidean distance algorithm, and extracting the real-time operation data whose Euclidean distance value is less than the preset distance value. The processor imports the real-time operation data whose Euclidean distance value is less than the preset distance value into the Markov model for fault deduction, and obtains the fault probability value of each component in the household appliance.

[0070] Exemplarily, the processor updating the faulty component according to the fault probability values ​​of each component includes: the processor selecting the component corresponding to the maximum fault probability value; and the processor updating the component corresponding to the maximum fault probability value as the faulty component.

[0071] In this embodiment, when the target fault information includes historical operation data of the household appliance, it indicates that the currently determined faulty component is inaccurate, and the faulty component can be re-determined by the Euclidean distance algorithm to improve the matching rate between the faulty component and the spare part to be replaced.

[0072] For example, the solution corresponding to the latest fault history content is determined as the fault handling solution: if the latest fault history content is: the compressor operating frequency is too high. Then it can be determined that the solution to the compressor operating frequency is too high is: reduce the compressor operating frequency. Therefore, try to use the solution of reducing the compressor operating frequency to solve the fault of the current household appliance.

[0073] In this embodiment, the solution to the latest fault content may be tried first, which can improve the efficiency of handling household appliance faults.

[0074] Exemplarily, the environment includes the region. The processor updating the faulty component according to the number of failures of each component includes: the processor selects the component with the largest number of failures, and determines the faulty component corresponding to the component with the largest number of failures as the updated faulty component.

[0075] In this embodiment, the situation that a batch of parts does not meet the standards when the household appliances leave the factory is fully considered. Usually, the same batch of parts corresponds to the same batch of household appliances, and the same batch of household appliances are usually distributed in the same area. In this case, the part with the most failures can be determined as the faulty part, so that the faulty component is updated, making the updated faulty component more accurate and easier to repair.

[0076] Optionally, after updating the faulty component, the processor further includes: the processor obtains a target spare part of the updated faulty component to update the spare part to be replaced. By re-matching the target spare part of the updated faulty component, the fault of the home appliance can be handled more accurately and efficiently.

[0077] Optionally, the fault handling recommendation includes obtaining a target spare part of the faulty component to update the spare part to be replaced. In this embodiment, the new spare part to be replaced corresponding to the component to be replaced is re-determined through the fault handling recommendation, so that the fault of the household appliance is further handled by updating the spare part to be replaced.

[0078] Optionally, the processor determines the target spare part in the following manner: the processor upgrades the component parameters of the candidate spare part corresponding to the faulty component, and obtains the candidate spare part operation data of the household appliance when the upgraded candidate spare part is running. The processor obtains the faulty component operation data of the household appliance when the faulty component is running. The processor matches the faulty component operation data with the candidate spare part operation data. The processor determines the adapted candidate spare part operation data in the candidate spare part operation data that is correctly adapted to the faulty component operation data, and uses the candidate spare part corresponding to the adapted candidate spare part operation data as the target spare part.

[0079] In this embodiment, the spare part to be selected corresponding to the faulty component is first determined, and the parameters of the spare part to be selected are upgraded. After the parameters of the spare part to be selected are upgraded, the spare part to be selected is installed in the household appliance for operation, and the spare part operation data of the spare part to be selected in the household appliance is obtained. At the same time, the faulty component operation data of the faulty component running in the household appliance is obtained. According to the adaptation of the spare part operation data to be selected and the faulty component operation data, the target spare part among the spare parts to be selected is accurately determined. Through this method, it is not necessary for the model of the faulty component to correspond to the model of the target spare part one by one, and the range of spare parts that the faulty component can match is further expanded, thereby further increasing the possibility of matching the spare part with the faulty component, and further improving the versatility of the spare parts.

[0080] Optionally, the processor upgrading the component parameters of the candidate spare part corresponding to the faulty component includes: the processor upgrading the component parameters of the control part when the candidate spare part includes the control part. And / or, the processor determining the matching component used with the mechanical part in the household appliance when the candidate spare part includes the mechanical part; and upgrading the component parameters of the matching component.

[0081] Among them, control parts refer to the parts that combine software and hardware, and mechanical parts refer to the parts that combine hardware or hardware.

[0082] In this embodiment, when the spare parts to be selected include control parts, it indicates that the control parts themselves can be upgraded, so the control parts are upgraded to retry matching the faulty components. When the spare parts to be selected include mechanical parts, it indicates that the mechanical parts (such as motors) themselves cannot be upgraded, but the parts used in conjunction with the mechanical parts (such as host computers) can be upgraded, so the parts used in conjunction with the mechanical parts are upgraded. In this way, by upgrading the spare parts to be selected or the parts used in conjunction with the spare parts to be selected, the matching possibility between the spare parts to be selected and the faulty components can be further increased, thereby further improving the versatility of the spare parts to be selected.

[0083] like Figure 4 As shown, the embodiment of the present disclosure provides another fault handling method for household appliances. The fault handling method includes:

[0084] S401: The processor matches the faulty components of the home appliance and the spare parts to be replaced.

[0085] S402: When the faulty component and the spare part to be replaced fail to match, the processor determines weight coefficients of multiple fault information corresponding to the faulty component of the home appliance.

[0086] S403: The processor determines a recommended fault handling solution for the faulty component according to weight coefficients of the plurality of fault information.

[0087] S404: The processor determines a processing state of processing the household appliance fault according to the recommended fault processing solution.

[0088] The processing status includes processing success and processing failure.

[0089] S405: When the processing status is successful, the processor updates weight coefficients of multiple fault information.

[0090] Exemplarily, the processor updating the weight coefficients of the plurality of fault information includes: when the number of successful processing increases once, the processor increases the weight coefficient of the fault information corresponding to the successful processing by a preset value.

[0091] S406: When the processing status is processing failure, the processor determines the spare part to be replaced that is consistent with the model of the failed component as the target spare part.

[0092] In this embodiment, when the fault of the home appliance cannot be successfully resolved according to the recommended fault handling solution, the spare part to be replaced that is consistent with the model of the faulty component is determined as the target spare part, and the user can install the target spare part in the home appliance to repair the home appliance.

[0093] like Figure 5 As shown, the embodiment of the present disclosure provides another fault handling method for household appliances. The fault handling method includes:

[0094] S501: The processor matches the faulty components of the home appliance and the spare parts to be replaced.

[0095] S502: When the faulty component and the spare part to be replaced fail to match, the processor determines weight coefficients of multiple pieces of fault information corresponding to the faulty component of the home appliance.

[0096] S503: The processor determines a recommended fault handling solution for the faulty component according to weight coefficients of the multiple fault information.

[0097] S504: The processor determines the adoption status of the recommended fault handling solution.

[0098] Exemplarily, the processor determines the adoption of the recommended fault handling solution, including: the processor determines the recommended fault handling solution. The processor determines the handling of the household appliance fault by the user according to the recommended fault handling solution. If the handling is successful, the processor determines that the recommended fault handling solution is adopted. If the handling is unsuccessful, the processor determines that the recommended fault handling solution is not adopted.

[0099] S505: The processor updates the weight coefficient of the fault information corresponding to the recommended fault handling solution according to the adoption of the recommended fault handling solution.

[0100] Exemplarily, after executing step S505, step S503 may be re-executed.

[0101] In this embodiment, the weight coefficient of the fault information corresponding to the recommended fault handling scheme is dynamically adjusted according to the adoption of the recommended fault handling scheme, so that the weight coefficient of each fault information is more reasonable, thereby accurately determining the target fault information among multiple fault information to improve the efficiency of household appliance fault handling.

[0102] Optionally, the processor updates the weight coefficient of the fault information corresponding to the fault processing recommendation scheme according to the adoption of the fault processing recommendation scheme, including: the processor calculates the adoption rate of the fault processing recommendation scheme corresponding to each fault information, and the processor adjusts the weight coefficient of the fault information according to the adoption rate.

[0103] Among them, the weight coefficient is positively correlated with the adoption rate.

[0104] Exemplarily, the processor adjusting the weight coefficient of the fault information according to the adoption rate includes: the processor determining the weight coefficient of the fault information corresponding to the adoption rate according to a preset corresponding relationship.

[0105] Specifically, Table 1 shows a corresponding relationship between an optional adoption rate and a weight coefficient of fault information.

[0106] Table 1

[0107] Adoption rate (%) Weight coefficient of fault information (90％，100％] (0.5，0.8] (80％，90％] (0.3，0.5] (70％，8％] (0.15，0.3] (60％，70％] (0.05，0.15]

[0108] Exemplarily, the processor adjusting the weight coefficient of the fault information according to the adoption rate includes: the processor determining an adjustment parameter corresponding to the adoption rate, and updating the weight coefficient of the fault information according to the adjustment parameter.

[0109] Specifically, Table 2 shows a corresponding relationship between an optional adoption rate and an adjustment parameter.

[0110] Table 2

[0111] Adoption rate (%) Weight coefficient of fault information (90％，100％] 0.3 (80％，90％] 0.2 (70％，8％] 0.15 (60％，70％] 0.05

[0112] Exemplarily, the processor updating the weight coefficient of the fault information according to the adjustment parameter includes: the processor determines an initial weight coefficient of each fault information, and the processor adds the adjustment parameter to the initial weight coefficient of each fault information to update the weight coefficient of the fault information.

[0113] Exemplarily, the multiple fault information includes fault history, current operating status, environment and historical operating data, and the initial weight coefficients corresponding to the fault history, current operating status, environment and historical operating data are 0.5, 0.2, 0.2 and 0.1 respectively.

[0114] In this embodiment, the weight coefficient of each fault information is dynamically adjusted by different methods, so that the weight coefficient of each fault information is more reasonable, thereby accurately determining the target fault information among multiple fault information to improve the efficiency of household appliance fault processing.

[0115] Combination Figure 6 , the embodiment of the present disclosure provides a fault handling device 200 for household appliances, including a processor (processor) 600 and a memory (memory) 601. Optionally, the fault handling device 200 for household appliances may also include a communication interface (Communication Interface) 602 and a bus 603. Among them, the processor 600, the communication interface 602, and the memory 601 can communicate with each other through the bus 603. The communication interface 602 can be used for information transmission. The processor 600 can call the logic instructions in the memory 601 to execute the fault handling method for household appliances of the above embodiment.

[0116] In addition, the logic instructions in the memory 601 described above can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0117] The memory 601, as a storage medium, can be used to store software programs, computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 600 executes the function application and data processing by running the program instructions / modules stored in the memory 601, that is, the fault handling method for the household appliance in the above embodiment is implemented.

[0118] The memory 601 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 601 may include a high-speed random access memory and may also include a non-volatile memory.

[0119] Combination Figure 1 As shown, an embodiment of the present disclosure provides a household appliance 1. The household appliance 1 includes: a household appliance body 10 and a fault handling device 200 for household appliances as described above. The installation relationship described here is not limited to being placed inside the household appliance 1, but also includes installation connections with other components of the household appliance 1, including but not limited to physical connections, electrical connections, or signal transmission connections. It can be understood by those skilled in the art that the fault handling device 200 for household appliances can be adapted to a feasible household appliance body 10, thereby realizing other feasible embodiments.

[0120] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned fault handling method for a household appliance.

[0121] The computer-readable storage medium mentioned above may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0122] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, including: 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, and other media that can store program codes, or a transient storage medium.

[0123] The above description and the accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent only possible changes. Unless explicitly required, separate components and functions are optional, and the order of operation may vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of listings containing one or more associated ones. In addition, when used in the present application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprising a ..." do not exclude the presence of other identical elements in the process, method or device comprising the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0124] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0125] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be only a logical function division. 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. In addition, the coupling or direct coupling or communication connection between each other 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. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0126] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for troubleshooting household electrical appliances, characterized in that: include: Matching faulty components and spare parts to be replaced for household appliances; In the case where the faulty component and the spare part to be replaced fail to match, determining weight coefficients of multiple fault information corresponding to the faulty component of the household appliance; A recommended fault handling solution for the faulty component is determined according to weight coefficients of multiple fault information.

2. The fault handling method according to claim 1, characterized in that: Match the faulty components and spare parts to be replaced of the home appliance as follows: Obtaining fault component parameters of the faulty component and spare part parameters of the spare part to be replaced; Matching the parameters of the failed component with the parameters of the spare part; In the case where the parameters of the faulty component and the spare part are incorrectly adapted, it is determined that the faulty component and the spare part to be replaced fail to match; or, Obtaining the fault component operation data of the faulty component in operation of the household appliance and the spare part operation data of the spare part to be replaced in operation of the household appliance; In the case where the operating data of the faulty component and the operating data of the spare part are mismatched, it is determined that the faulty component and the spare part to be replaced fail to match.

3. The fault handling method according to claim 1, characterized in that: The recommended fault handling solution for the faulty component is determined based on the weight coefficients of multiple fault information, including: Determine target fault information among the multiple fault information according to the order of the weight coefficients of the fault information from high to low; The fault handling solution corresponding to the target fault information is used as the fault handling recommendation solution.

4. The fault handling method according to claim 3, characterized in that: Determine the fault handling solution corresponding to the target fault information as follows: In the case where the target fault information includes the current operating state of the household appliance, the fault handling solution includes determining a component with an abnormal operating state in the current operating state, and adjusting operating parameters of the component with the abnormal operating state; and / or, In the case where the target fault information includes historical operation data of the household appliance, the fault handling solution includes determining a fault probability value of each component in the household appliance according to the historical operation data, and updating the faulty component according to the fault probability value of each component; and / or, In the case where the target fault information includes a fault record of the home appliance, the fault handling solution includes determining the latest fault record content in the fault record, and determining the solution corresponding to the latest fault record content as the fault handling solution; and / or, In the case where the target fault information includes the environment in which the household appliance is located, the fault handling solution includes determining the number of faults of each component of the household appliance in the environment, and updating the fault component according to the number of faults of each component.

5. The fault handling method according to claim 1, characterized in that: The recommended fault handling solution includes obtaining the target spare part of the faulty component to update the spare part to be replaced; the target spare part is determined as follows: Upgrading the component parameters of the candidate spare parts corresponding to the faulty components, and obtaining the candidate spare parts operation data of the household appliance after the candidate spare parts are upgraded; Obtaining the faulty component operation data of the household appliance when the faulty component is running; Matching the operating data of the faulty component with the operating data of the spare parts to be selected; The adapted spare part operation data to be selected that is correctly adapted to the operation data of the faulty component is determined, and the spare part to be selected corresponding to the adapted spare part operation data is used as the target spare part.

6. The fault handling method according to claim 5, characterized in that: Parameters of the spare parts to be upgraded corresponding to the faulty components, including: In the case where the selected spare parts include a control part, upgrading the component parameters of the control part; and / or, In the case where the spare parts to be selected include mechanical parts, matching components used in conjunction with the mechanical parts in the home appliance are determined; and component parameters of the matching components are updated.

7. The fault handling method according to any one of claims 1 to 6, characterized in that: Also includes: Determine the adoption of recommended troubleshooting solutions; According to the adoption of the recommended fault handling solution, the weight coefficient of the fault information corresponding to the recommended fault handling solution is updated.

8. The fault handling method according to claim 7, characterized in that: According to the adoption of the recommended fault handling solution, the weight coefficient of the fault information corresponding to the recommended fault handling solution is updated, including: Calculate the adoption rate of the recommended fault handling solution corresponding to each fault information; The weight coefficient of the fault information is adjusted according to the adoption rate; wherein the weight coefficient is positively correlated with the adoption rate.

9. A fault handling device for household appliances, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the fault handling method for a household appliance according to any one of claims 1 to 8 when running the program instructions.

10. A household appliance, characterized in that: include: Home appliance body; and, The fault handling device for household electrical appliances as claimed in claim 9 is installed on the main body of the household electrical appliance.

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