CN107893308B - Washing machine component processing method and device - Google Patents
Washing machine component processing method and device Download PDFInfo
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- CN107893308B CN107893308B CN201711051251.2A CN201711051251A CN107893308B CN 107893308 B CN107893308 B CN 107893308B CN 201711051251 A CN201711051251 A CN 201711051251A CN 107893308 B CN107893308 B CN 107893308B
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- 238000005406 washing Methods 0.000 title claims abstract description 229
- 238000003672 processing method Methods 0.000 title claims abstract description 11
- 230000002159 abnormal effect Effects 0.000 claims abstract description 79
- 238000000034 method Methods 0.000 claims abstract description 31
- 238000012549 training Methods 0.000 claims abstract description 19
- 238000010801 machine learning Methods 0.000 claims abstract description 10
- 230000008569 process Effects 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 239000003638 chemical reducing agent Substances 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
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- 230000002035 prolonged effect Effects 0.000 description 2
- 238000004590 computer program Methods 0.000 description 1
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
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Abstract
The invention discloses a washing machine component processing method and device. Wherein, the method comprises the following steps: acquiring parameters of components of the washing machine under the condition that the washing machine works; determining an abnormal parameter from parameters of components of the washing machine; and determining the service life of the part corresponding to the abnormal parameter by taking the abnormal parameter as the input of a model, wherein the model is obtained by machine learning training according to the known corresponding relation between the parameter and the service life of the washing machine part. The invention solves the technical problem that the service life of the parts of the washing machine cannot be timely and accurately known due to the fact that the use condition of the washing machine cannot be checked when the washing machine is abnormal in the related technology.
Description
Technical Field
The invention relates to the field of electric appliance treatment, in particular to a washing machine component treatment method and device.
Background
In the related art, for each component of the washing machine, including the inner tub, the washing machine housing, and the external rotating device connecting the inner tub and the housing, a user can directly check the use conditions of the inner tub and the washing machine housing of the washing machine and estimate the remaining service life of the inner tub and the washing machine housing, but for the condition of the connection portion between the inner tub and the inner wall of the washing machine, the user cannot directly check and estimate the remaining service life of the inner tub and the washing machine housing. In the use process of the washing machine, each part of the washing machine is possibly abnormal, so that the service life of the part is shortened, the part needs to be replaced at the moment, but the use condition of the part between the inner wall of the washing machine and the inner barrel cannot be directly checked by a user, and the condition of the bottom of the inner barrel cannot be generally checked by the user when the washing machine is abnormal, so that the current service life of the part of the washing machine cannot be timely known due to the fact that the use condition of the part cannot be checked by the user when the washing machine is abnormal.
Aiming at the technical problem that the service life of the parts of the washing machine cannot be timely and accurately known due to the fact that the use condition of the washing machine cannot be checked when the washing machine is abnormal in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a washing machine component processing method and device, which at least solve the technical problem that the service life of components of a washing machine cannot be timely and accurately known due to the fact that the use condition of the washing machine cannot be checked when the washing machine is abnormal in the related art.
According to an aspect of an embodiment of the present invention, there is provided a washing machine part treating method including: acquiring parameters of components of the washing machine under the condition that the washing machine works; determining an abnormal parameter from parameters of components of the washing machine; and determining the service life of the part corresponding to the abnormal parameter by taking the abnormal parameter as an input of a model, wherein the model is obtained by machine learning training according to the known corresponding relation between the washing machine part parameter and the service life.
Further, after determining the life of the component corresponding to the abnormal parameter, the method further includes: and sending the model of the part corresponding to the abnormal parameter and the residual service life of the part when the service life is less than a threshold value.
Further, transmitting the model number of the component and the remaining life includes at least one of: transmitting the model number of the component and the remaining life to a terminal device connected with the washing machine; and sending the model number of the component and the remaining service life to a server, wherein the server is used for pushing the received model number of the component and the remaining service life to after-sales personnel.
Further, in the case of transmitting the model number of the component and the remaining life to the server, the method further includes: and sending the position of the washing machine and the contact way of the user of the washing machine to the after-sales personnel through the server, wherein the position of the washing machine and the contact way of the user of the washing machine are reported to the server by an installer when the washing machine is installed, or are sent to the server by the washing machine.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein the program performs the washing machine component processing method of any one of the above.
According to another aspect of the embodiment of the present invention, there is also provided a processor for executing a program, wherein the program is executed to perform the washing machine component processing method according to any one of the above.
According to another aspect of the embodiments of the present invention, there is also provided a washing machine part treating apparatus including: an acquisition unit for acquiring parameters of components of a washing machine in a case where the washing machine is operated; a first determination unit for determining an abnormal parameter from among parameters of components of the washing machine; and the second determining unit is used for determining the service life of the part corresponding to the abnormal parameter at least by taking the abnormal parameter as the input of a model, wherein the model is obtained by machine learning training according to the known corresponding relation between the washing machine part parameter and the service life.
Further, the apparatus further comprises: and the first sending unit is used for sending the model of the component corresponding to the abnormal parameter and the residual service life of the component when the service life is smaller than a threshold value after the service life of the component corresponding to the abnormal parameter is determined.
Further, the first sending unit comprises at least one of: the first sending module is used for sending the model of the part and the remaining service life to a terminal device connected with the washing machine; and the second sending module is used for sending the model of the component and the remaining service life to a server, wherein the server is used for pushing the received model of the component and the remaining service life to after-sales personnel.
Further, the apparatus further comprises: and a second sending unit, configured to send, to the server, the location of the washing machine and a contact information of a user of the washing machine, where the location of the washing machine and the contact information of the user of the washing machine are reported to the server by an installer when the washing machine is installed, or sent to the server by the washing machine, when the model of the component and the remaining life are sent to the server by the server.
In the embodiment of the invention, when the washing machine works, the parameters of each part of the washing machine are obtained, the abnormal parameters are determined from the parameters of each part of the washing machine, and then the abnormal parameters are used as the input of the model to determine the residual life of the part corresponding to the abnormal data. Thereby through detection device, detect the parameter of each part of washing machine to utilize the model that the machine obtained through historical data learning training, when confirming that the part appears unusually, the surplus life that corresponds, thereby solve among the correlation technique washing machine when appearing unusually, because can't look over its in service behavior, lead to the technical problem of the life of the part of unable timely, accurate knowing washing machine, reach the circumstances of the surplus life of each part of accurate understanding washing machine, the part of change washing machine that can be timely.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a washing machine component handling method according to an embodiment of the present invention;
FIG. 2 is a first schematic diagram of a washing machine component treating device according to an embodiment of the present invention;
FIG. 3 is a second schematic view of a washing machine component treating apparatus according to an embodiment of the present invention;
fig. 4 is a third schematic diagram of a washing machine component treatment apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided a method embodiment of washing machine component processing, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions and that, although a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than that presented herein.
The following embodiments can be applied to various electrical devices, and the types of the electrical devices are not limited, including but not limited to: the present invention is described in the following with reference to a washing machine, an air conditioner, a refrigerator, an electric cooker, etc.
The following embodiments may be applied to various washing machine apparatuses, wherein the type of the washing machine is not limited in the present invention, and may include but is not limited to: pulsator type washing machines, drum type washing machines, agitator type washing machines, and the like. Among them, there are many parts in the washing machine, which may include but are not limited to: the washing machine comprises an inner cylinder, a filter screen, a washing machine shaft, a wave wheel, a drain valve, a tractor, a clutch, a water level device, a speed reducer, a sensor, a plate making device, a washing machine cover and the like, wherein a user can directly see the current use conditions of the inner cylinder (for placing clothes) and the washing machine cover and can check whether the inner cylinder and the washing machine cover are abnormal or not; however, other devices may not be able to be directly checked, and if an abnormality occurs, the remaining service life of each component may not be estimated. Through the following embodiments, the service lives of various components of the washing machine can be known, so that the components are updated in time to ensure the normal operation of the washing machine.
Fig. 1 is a flowchart of a washing machine part processing method according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
and step S102, acquiring parameters of the parts of the washing machine under the condition that the washing machine works.
When it is determined whether the abnormality of the washing machine occurs, it is determined in the case that the washing machine is operated. In the present application, a detection device may be provided in each component to detect parameters of the corresponding washing machine component through the detection device. Wherein, the detecting means may include but is not limited to: the washing machine comprises a rotating speed sensor, a volume sensor, a voltage sensor and the like, wherein the detecting device can detect corresponding parameters, for example, the volume sensor detects volume parameters (including height, length, width and roundness) of an inner barrel or a hood to determine whether the inner barrel or the hood is deformed, the rotating speed sensor detects parameters of a tractor, a clutch and a speed reducer, and the voltage sensor detects voltage parameters used by the current washing machine to ensure that the washing machine is normally driven.
In the above steps, the parameters of the various parts of the washing machine obtained by the various detection devices may be stored by a data storage, and the data storage may transmit the stored data to the processor to compare the detected parameters of the various parts of the washing machine with preset parameters. Wherein, the preset parameters may be standard parameters of each component pre-stored in the washing machine.
Optionally, the parameters may include, but are not limited to: deformation data of the barrel, abnormal rotation speed data, loss of driving devices such as a motor, and the like.
In step S104, an abnormal parameter is determined from parameters of components of the washing machine.
After the parameters of the current components of the washing machine are obtained, the parameters are compared with preset parameters to determine abnormal parameters. When determining the abnormal parameter, the current parameter of each component may be compared with a preset parameter of each component to obtain a component difference parameter, then each component difference parameter is compared with a preset component difference range to judge whether the difference parameter exceeds the preset component difference range, if so, the abnormal parameter is determined, and if not, the abnormal parameter is determined.
And each component can be provided with corresponding preset parameters, so that whether the parameters of each component are abnormal parameters or not is determined according to the acquired parameters of the washing machine which is currently running.
And step S106, determining the service life of the part corresponding to the abnormal parameter at least by taking the abnormal parameter as the input of a model, wherein the model is obtained by machine learning training according to the known corresponding relation between the washing machine part parameter and the service life.
In the above steps, the service life of the component may be determined by the abnormal parameter, which may be the remaining service life of the component, and the remaining service life of the component corresponding to the abnormal parameter is determined by the pre-established model, so as to make a corresponding adjustment.
The model can be obtained by learning and training by using a machine, and the model is determined by the relationship between the service conditions and the service lives of different parts of a plurality of washing machines in the historical process. Through the model, the residual service life corresponding to the abnormal data when each part of the washing machine which is currently running is abnormal can be determined.
In some cases, a model may be created for each washing machine component, and this model is used only to evaluate the remaining life of the component. Since there may be many parameters for a component, the input to the model may have multiple parameters that act together as the basis for determining the life of the component. The model can collect a plurality of groups of data during training and then train according to the data of the groups, wherein when a plurality of groups of data of each component are collected, the change of the residual life of each component when the operation data change is determined through the networking of the washing machine, so that the residual life of the component is known.
Alternatively, in modeling the washing machine, a model may be built for the entire washing machine, and input data of the model may be the remaining life of each component, and then the life of the entire washing machine may be estimated in the model according to the remaining life of each component. This model may also be trained from pre-derived sets of data, which may be historical data relating parameters of various washing machine components to remaining life.
For the above embodiment, the training data may be obtained through a laboratory, or reported by washing machines scattered in each user's home, and a large amount of data obtained by tracking the sold washing machines may be used for training. Optionally, the communication module may be preset in the home washing machine, and the plurality of washing machines may upload data collected in real time to the server for machine training. The communication module may include, but is not limited to: wireless network card, bluetooth, etc.
When the remaining life of the washing machine is determined, the service life can be determined by using the data of machine learning training and combining the frequency of the washing machine used by a user, wherein the frequency of the washing machine can indicate the duration of the average interval of the user to use the washing machine once, and the remaining life of the current washing machine is determined by combining the frequency parameter and the current use condition of components and the data obtained by the learning training of the machine.
In the above embodiment, when the washing machine is in operation, the parameters of each component of the washing machine are obtained, the abnormal parameters are determined from the parameters of each component of the washing machine, and then the abnormal parameters are used as the input of the model to determine the remaining life of the component corresponding to the abnormal data. Thereby through detection device, detect the parameter of each part of washing machine to utilize the model that the machine obtained through historical data learning training, when confirming that the part appears unusually, the surplus life that corresponds, thereby solve among the correlation technique washing machine when appearing unusually, because can't look over its in service behavior, lead to the technical problem of the life of the part of unable timely, accurate knowing washing machine, reach the circumstances of the surplus life of each part of accurate understanding washing machine, the part of change washing machine that can be timely.
For the above embodiment, after determining the life of the component corresponding to the abnormal parameter, the method further includes: and sending the model of the part corresponding to the abnormal parameter and the residual service life of the part when the service life is less than the threshold value. Wherein the type of the sending part and the remaining life include at least one of: transmitting the model number of the component and the remaining life to a terminal device connected to the washing machine; and sending the model number of the component and the remaining service life to a server, wherein the server is used for pushing the received model number of the component and the remaining service life to after-sales personnel.
That is, after determining the abnormal data of the components of the washing machine and the lives of the corresponding components determined according to the abnormal data, the abnormal data and the lives of the components may be transmitted to the terminal device or the server. Optionally, in the present invention, a connection relationship between the washing machine and the terminal device may be pre-established, where the connection relationship may be established through a local area network, so that when a component of the washing machine is abnormal, corresponding data may be sent to the terminal device for a user to check, and after receiving the data, the user may replace the component of the washing machine in time to ensure normal operation of the washing machine. In addition, the washing machine and the server in the invention can establish a communication connection relationship in advance so as to send abnormal data and service life to the server under the condition that the parts of the washing machine are abnormal, and after-sale service personnel of the washing machine can send updated parts to users and replace the parts in the washing machine in time when the end time of the service life is about to come through the abnormal data and the service life, thereby ensuring the normal operation of the washing machine.
By utilizing the embodiment, when the parts of the washing machine are abnormal, the parts of the washing machine can be replaced at a proper time according to the determined residual life, so that the service life of each part of the washing machine can be prolonged under the normal operation state of the washing machine, and the whole service life of the washing machine can be prolonged.
It should be noted that, in the case of sending the model number of the component and the remaining life to the server, the method further includes: and sending the position of the washing machine and the contact way of the user of the washing machine to after-sales personnel through a server, wherein the contact way of the position of the washing machine and the user of the washing machine is reported to the server by an installer when the washing machine is installed, or is sent to the server by the washing machine.
The acquired data can be sent to the server through the washing machine, and under the condition that the abnormity of the component is determined, the abnormal data, the model of the component corresponding to the abnormal data, the geographic position of a user using the washing machine, the contact information of the user using the washing machine and other data are sent to the after-sales service staff of the washing machine. After-sales personnel can send the updated parts to the user using the washing machine in time according to the obtained data, and timely update the part use data of the washing machine.
Fig. 2 is a schematic view showing a part treating apparatus of a washing machine according to an embodiment of the present invention, as shown in fig. 2, the apparatus including: an acquisition unit 21 for acquiring parameters of components of the washing machine in a case where the washing machine is operated; a first determination unit 23 for determining an abnormal parameter from among parameters of components of the washing machine; and a second determining unit 25, configured to determine the service life of the component corresponding to the abnormal parameter at least by using the abnormal parameter as an input of a model, where the model is obtained through machine learning training according to a known correspondence relationship between the component parameter and the service life of the washing machine.
In the above embodiment, the parameters of each component of the washing machine may be obtained by the obtaining unit 21 when the washing machine is in operation, the abnormal parameter may be determined from the parameters of each component of the washing machine by the first determining unit 23, and then the abnormal parameter may be used as an input of the model to determine the remaining life of the component corresponding to the abnormal data by the second determining unit 25. Thereby through detection device, detect the parameter of each part of washing machine to utilize the model that the machine obtained through historical data learning training, when confirming that the part appears unusually, the surplus life that corresponds, thereby solve among the correlation technique washing machine when appearing unusually, because can't look over its in service behavior, lead to the technical problem of the life of the part of unable timely, accurate knowing washing machine, reach the circumstances of the surplus life of each part of accurate understanding washing machine, the part of change washing machine that can be timely.
Fig. 3 is a second schematic diagram of another alternative washing machine component processing apparatus according to an embodiment of the present invention, as shown in fig. 3, the apparatus may further include, in addition to the acquiring unit 21, the first determining unit 23, and the second determining unit 25: and a first sending unit 31, configured to send, after determining the lifetime of the component corresponding to the abnormal parameter, the model of the component corresponding to the abnormal parameter and the remaining lifetime of the component when the lifetime is smaller than the threshold.
Optionally, the first sending unit 31 includes at least one of: the first sending module is used for sending the model of the component and the remaining service life to the terminal equipment connected with the washing machine; and the second sending module is used for sending the model of the component and the remaining service life to the server, wherein the server is used for pushing the received model of the component and the remaining service life to after-sales personnel.
Fig. 4 is a schematic diagram of another alternative washing machine component processing apparatus according to an embodiment of the present invention, as shown in fig. 4, the apparatus may further include, in addition to the acquiring unit 21, the first determining unit 23, the second determining unit 25, and the first sending unit 31: and a second sending unit 41, configured to send, to the server, the location of the washing machine and the contact information of the user of the washing machine to the after-sales person through the server when the model and the remaining life of the component are sent to the server, where the location of the washing machine and the contact information of the user of the washing machine are reported to the server by an installer when the washing machine is installed, or are sent to the server by the washing machine.
The washing machine component processing device comprises a processor and a memory, wherein the acquiring unit 21, the first determining unit 23, the second determining unit 25 and the like are stored in the memory as program units, and the program units stored in the memory are executed by the processor to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the residual service life of each component of the washing machine can be accurately known by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to another aspect of embodiments of the present invention, there is also provided a storage medium including a stored program, wherein the program performs the washing machine component processing method of any one of the above.
According to another aspect of the embodiments of the present invention, there is also provided a processor for executing a program, wherein the program executes to perform the washing machine component processing method of any one of the above.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: acquiring parameters of components of the washing machine under the condition that the washing machine works; determining an abnormal parameter from parameters of components of the washing machine; and determining the service life of the part corresponding to the abnormal parameter by taking the abnormal parameter as the input of a model, wherein the model is obtained by machine learning training according to the known corresponding relation between the parameter and the service life of the washing machine part.
After determining the life of the component corresponding to the abnormal parameter, the implementation method further includes: and sending the model of the part corresponding to the abnormal parameter and the residual service life of the part when the service life is less than the threshold value.
Wherein the type of the sending part and the remaining life include at least one of: transmitting the model number of the component and the remaining life to a terminal device connected to the washing machine; and sending the model number of the component and the remaining service life to a server, wherein the server is used for pushing the received model number of the component and the remaining service life to after-sales personnel.
In the case of transmitting the model number of the component and the remaining lifetime to the server, the implementation method further includes: and sending the position of the washing machine and the contact way of the user of the washing machine to after-sales personnel through a server, wherein the contact way of the position of the washing machine and the user of the washing machine is reported to the server by an installer when the washing machine is installed, or is sent to the server by the washing machine. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: acquiring parameters of components of the washing machine under the condition that the washing machine works; determining an abnormal parameter from parameters of components of the washing machine; and determining the service life of the part corresponding to the abnormal parameter by taking the abnormal parameter as the input of a model, wherein the model is obtained by machine learning training according to the known corresponding relation between the parameter and the service life of the washing machine part.
After determining the life of the component corresponding to the abnormal parameter, the implementation method further includes: and sending the model of the part corresponding to the abnormal parameter and the residual service life of the part when the service life is less than the threshold value.
Wherein the type of the sending part and the remaining life include at least one of: transmitting the model number of the component and the remaining life to a terminal device connected to the washing machine; and sending the model number of the component and the remaining service life to a server, wherein the server is used for pushing the received model number of the component and the remaining service life to after-sales personnel.
In the case of transmitting the model number of the component and the remaining lifetime to the server, the implementation method further includes: and sending the position of the washing machine and the contact way of the user of the washing machine to after-sales personnel through a server, wherein the contact way of the position of the washing machine and the user of the washing machine is reported to the server by an installer when the washing machine is installed, or is sent to the server by the washing machine.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (6)
1. A washing machine component handling method, comprising:
acquiring parameters of components of the washing machine under the condition that the washing machine works;
determining an abnormal parameter from parameters of components of the washing machine;
determining the service life of a component corresponding to the abnormal parameter at least by taking the abnormal parameter as the input of a model, wherein the model is obtained by machine learning training according to the known corresponding relation between the component parameter and the service life of the washing machine, and in the historical process, the model is determined by the relation between the service condition and the service life of each different component of a plurality of washing machines;
wherein after determining the life of the component corresponding to the abnormal parameter, the method further comprises: under the condition that the service life is smaller than a threshold value, the model of the part corresponding to the abnormal parameter and the residual service life of the part are sent;
wherein sending the model number of the component and the remaining life includes at least one of: transmitting the model number of the component and the remaining life to a terminal device connected with the washing machine; and sending the model number of the component and the remaining service life to a server, wherein the server is used for pushing the received model number of the component and the remaining service life to after-sales personnel.
2. The method of claim 1, wherein in the case of sending the model number of the component and the remaining life to the server, the method further comprises:
and sending the position of the washing machine and the contact way of the user of the washing machine to the after-sales personnel through the server, wherein the position of the washing machine and the contact way of the user of the washing machine are reported to the server by an installer when the washing machine is installed, or are sent to the server by the washing machine.
3. A washing machine component treating device, comprising:
an acquisition unit for acquiring parameters of components of a washing machine in a case where the washing machine is operated;
a first determination unit for determining an abnormal parameter from among parameters of components of the washing machine;
a second determining unit, configured to determine the service life of a component corresponding to the abnormal parameter at least by using the abnormal parameter as an input of a model, where the model is obtained through machine learning training according to a known correspondence between the component parameter and the service life of the washing machine, and where the model is determined through a relationship between a service condition and a service life of each of different components of a plurality of washing machines in a historical process;
the first sending unit is used for sending the model of the component corresponding to the abnormal parameter and the residual service life of the component under the condition that the service life is smaller than a threshold value after the service life of the component corresponding to the abnormal parameter is determined;
wherein the first sending unit comprises at least one of:
the first sending module is used for sending the model of the part and the remaining service life to a terminal device connected with the washing machine;
and the second sending module is used for sending the model of the component and the remaining service life to a server, wherein the server is used for pushing the received model of the component and the remaining service life to after-sales personnel.
4. The apparatus of claim 3, further comprising:
and a second sending unit, configured to send, to the server, the location of the washing machine and a contact information of a user of the washing machine, where the location of the washing machine and the contact information of the user of the washing machine are reported to the server by an installer when the washing machine is installed, or sent to the server by the washing machine, when the model of the component and the remaining life are sent to the server by the server.
5. A storage medium characterized by comprising a stored program, wherein the program performs the washing machine component processing method of any one of claims 1 to 2.
6. A processor, characterized in that it is configured to run a program, wherein the program when run performs the washing machine component processing method of any one of claims 1 to 2.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US11802816B2 (en) | 2020-06-05 | 2023-10-31 | Bsh Hausgeraete Gmbh | Method, apparatus and household appliance for determining a state of a household appliance |
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| CN109828873A (en) * | 2019-01-03 | 2019-05-31 | 珠海格力电器股份有限公司 | Equipment life judging method and device, storage medium and mobile terminal |
| EP3919997A1 (en) * | 2020-06-05 | 2021-12-08 | BSH Hausgeräte GmbH | Status determination for a domestic appliance |
| CN112150774B (en) * | 2020-09-18 | 2022-10-21 | 海尔优家智能科技（北京）有限公司 | Washing machine abnormity detection processing method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20040101687A (en) * | 2003-05-26 | 2004-12-03 | 엘지전자 주식회사 | Washing Machine Having Diagnostics and Statics Function and Control Method the Same |
| CN102383286B (en) * | 2010-09-01 | 2016-01-20 | 海尔集团公司 | A kind of Intelligentized internet-of-thing washing machine |
| CN106713466A (en) * | 2016-12-28 | 2017-05-24 | 上海庆科信息技术有限公司 | Intelligent clothes washing system, cloud server, and communication module based on Internet of Things |
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| US11802816B2 (en) | 2020-06-05 | 2023-10-31 | Bsh Hausgeraete Gmbh | Method, apparatus and household appliance for determining a state of a household appliance |
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Inventor after: Zhang Yuping Inventor after: Zhang Long Inventor before: Zhang Yuping |