CN111254639A - Washing machine fault early warning method and device, washing machine and storage medium - Google Patents
Washing machine fault early warning method and device, washing machine and storage medium Download PDFInfo
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- 238000005406 washing Methods 0.000 title claims abstract description 284
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000005265 energy consumption Methods 0.000 claims abstract description 139
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 8
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Abstract
The application provides a washing machine fault early warning method, a washing machine fault early warning device, a washing machine and a storage medium, wherein the method comprises the following steps: acquiring actual energy consumption of a preset energy consumption parameter under a current washing program of the washing machine; determining the working state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, wherein the working state of the washing machine comprises a normal state and an abnormal state; and if the working state of the washing machine is an abnormal state, pushing prompt early warning information to a user. In the embodiment of the application, whether the working state of the washing machine is abnormal or not is determined through the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, and when the washing machine is in an abnormal state, the early warning information is pushed to a user, so that the early warning is carried out on the washing machine according to the service condition of each washing machine, the reliability of the early warning can be improved, and the user experience can be enhanced.
Description
Technical Field
The invention belongs to the technical field of washing machines, and particularly relates to a washing machine fault early warning method and device, a washing machine and a storage medium.
Background
With the development of the intellectualization of the washing machine, the washing machine becomes an indispensable intelligent device in life more and more. After the washing machine is used for a period of time, some dirt which is not easy to clean by a user may be generated, or mechanical parts inside the washing machine may become loose, thereby causing the performance of the washing machine to be reduced.
In the prior art, the washing machine is usually maintained regularly, for example, once in half a year, by presetting a predetermined time for cleaning and maintenance of the washing machine. However, since different users use the washing machine at different frequencies, the maintenance cycle may need to be shorter than the preset time for the washing machine with a higher frequency of use, and longer than the preset time for the washing machine with a lower frequency of use.
Therefore, in the prior art, the early warning cannot be given to the washing machine according to the use condition of each washing machine.
Disclosure of Invention
The application provides a washing machine fault early warning method and device, a washing machine and a storage medium, so that early warning is carried out on the washing machine according to the service condition of each washing machine, the reliability of early warning can be improved, and the user experience can be enhanced.
In a first aspect, an embodiment of the present application provides a washing machine fault early warning method, including:
acquiring actual energy consumption of a preset energy consumption parameter under a current washing program of the washing machine;
determining the working state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, wherein the working state of the washing machine comprises a normal state and an abnormal state;
and if the working state of the washing machine is an abnormal state, pushing prompt early warning information to a user.
In the embodiment of the application, whether the working state of the washing machine is abnormal or not is determined through the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, and when the washing machine is in an abnormal state, the early warning information is pushed to a user, so that the early warning is carried out on the washing machine aiming at the service condition of each washing machine, the reliability of the early warning can be improved, and the user experience can be enhanced.
In a possible embodiment, before determining the operating state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, the method further includes:
acquiring washing parameter information of a current washing program;
and determining the theoretical energy consumption of the washing machine under the current washing program according to the washing parameter information.
According to the embodiment of the application, the theoretical energy consumption of the washing machine under the current washing program is determined according to the washing parameter information of the current washing program, so that the accuracy of theoretical energy consumption calculation is improved, and the accuracy of judging the working state of the washing machine can be further improved.
In a possible embodiment, the theoretical energy consumption is a normal energy consumption interval of the washing machine in a normal state, and the determining the operating state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine in the current washing program includes:
judging whether the actual energy consumption is in a normal energy consumption interval or not;
and if the actual energy consumption is in the normal energy consumption interval, judging that the working state of the washing machine is a normal state.
In one possible embodiment, the washing parameter information includes at least one of:
the type of the laundry, the weight of the laundry, the washing program, the washing time, the washing times, the rinsing times, and the heating time;
the preset energy consumption parameter is at least one of the following parameters:
power consumption, water consumption, and time consumption.
In a possible implementation manner, the method for early warning of a failure of a washing machine provided in an embodiment of the present application further includes:
acquiring the accumulated use times and/or the accumulated use time of the washing machine;
and if the accumulated use times exceed the preset times and/or the accumulated use time exceeds the preset time, pushing prompt early warning information to the user.
In the embodiment of the application, whether the prompt early warning information needs to be pushed to the user or not can be determined through the accumulated use times and the accumulated use time of the washing machine, and the reliability of early warning is further ensured.
The device, the washing machine, the computer-readable storage medium, and the computer program product provided in the embodiments of the present application are described below, and the content and effect of the device, the washing machine fault warning method provided in the embodiments of the present application may be referred to, and are not described again.
In a second aspect, an embodiment of the present application provides a washing machine fault early warning device, including:
the acquisition module is used for acquiring the actual energy consumption of the preset energy consumption parameter under the current washing program of the washing machine;
the determining module is used for determining the working state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, wherein the working state of the washing machine comprises a normal state and an abnormal state;
and the pushing module is used for pushing prompt early warning information to a user if the working state of the washing machine is an abnormal state.
In a possible implementation manner, the washing machine fault early warning device provided by the embodiment of the application,
the acquisition module is also used for acquiring the washing parameter information of the current washing program;
and the determining module is also used for determining the theoretical energy consumption of the washing machine under the current washing program according to the washing parameter information.
In a possible implementation, the theoretical energy consumption is a normal energy consumption interval of the washing machine in a normal state, and the determining module is specifically configured to:
judging whether the actual energy consumption is in a normal energy consumption interval or not;
and if the actual energy consumption is in the normal energy consumption interval, judging that the working state of the washing machine is a normal state.
In one possible embodiment, the washing parameter information includes at least one of:
the type of the laundry, the weight of the laundry, the washing program, the washing time, the washing times, the rinsing times, and the heating time;
the preset energy consumption parameter is at least one of the following parameters:
power consumption, water consumption, and time consumption.
In a possible implementation manner, the washing machine fault early warning device provided by the embodiment of the application,
the acquisition module is also used for acquiring the accumulated use times and/or the accumulated use time of the washing machine;
and the pushing module is also used for pushing prompt early warning information to the user if the accumulated using times exceed the preset times and/or the accumulated using time exceeds the preset time.
In a third aspect, an embodiment of the present application provides a washing machine, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as provided by the first aspect or the first aspect realizable manner.
In a fourth aspect, embodiments of the present application provide a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method as provided in the first aspect or the first aspect implementable manner.
In a fifth aspect, an embodiment of the present application provides a computer program product, including: executable instructions for implementing the method as provided in the first aspect or the first aspect alternatives.
According to the washing machine fault early warning method and device, the washing machine and the storage medium, the actual energy consumption of the preset energy consumption parameter is obtained under the current washing program of the washing machine; then determining the working state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, wherein the working state of the washing machine comprises a normal state and an abnormal state; and if the working state of the washing machine is an abnormal state, pushing prompt early warning information to a user. In the embodiment of the application, whether the working state of the washing machine is abnormal or not is determined through the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, and when the washing machine is in an abnormal state, the early warning information is pushed to a user, so that the early warning is carried out on the washing machine according to the service condition of each washing machine, the reliability of the early warning can be improved, and the user experience can be enhanced.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a diagram of an exemplary application scenario provided by an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for early warning a failure of a washing machine according to an embodiment of the present disclosure;
FIG. 3 is a schematic interface diagram of a display screen of a washing machine according to an embodiment of the present disclosure;
fig. 4 is a schematic flowchart of a method for early warning a failure of a washing machine according to another embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a failure early warning device of a washing machine according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a washing machine according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all 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 application.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the drawings described above, if any, 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 application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise 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.
With the development of the intellectualization of the washing machine, the washing machine becomes an indispensable intelligent device in life more and more. After the washing machine is used for a period of time, some dirt which is not easy to clean by a user may be generated, or mechanical parts inside the washing machine may become loose, thereby causing the performance of the washing machine to be reduced. In the prior art, the washing machine is usually maintained regularly by presetting a prescribed time, for example, once maintenance is prescribed half a year, and the washing machine cannot be warned according to the use condition of each washing machine. In order to solve the technical problem, embodiments of the present application provide a method and an apparatus for early warning of a failure of a washing machine, and a storage medium.
The embodiment of the application provides a washing machine fault early warning method and device, a washing machine and a storage medium, whether the working state of the washing machine is a normal state or not is determined by comparing the actual energy consumption of the washing machine with the theoretical energy consumption of the washing machine in the normal state, and if the washing machine is in an abnormal state, early warning information is pushed to a user, so that the early warning is carried out on the washing machine according to the use condition of each washing machine, the reliability of the early warning can be improved, and the user experience can be enhanced.
The washing machine fault early warning method provided by the embodiment of the application can be executed by the washing machine fault early warning device provided by the embodiment of the application, the washing machine fault early warning device provided by the embodiment of the application can be part or all of a washing machine, fig. 1 is an exemplary application scenario diagram provided by the embodiment of the application, as shown in fig. 1, the washing machine fault early warning method provided by the embodiment of the application can be applied to a washing machine 11, a user can operate the washing machine, for example, the washing machine 11 can perform data communication with a terminal device 12, the terminal device 12 can control the washing machine 11, and the embodiment of the application is not limited thereto. The embodiment of the present application does not limit the type of the washing machine, and for example, the type of the washing machine may include a pulsator type washing machine, a drum type washing machine, a pulsator type washing machine, and the like. The specific type of the terminal device is not limited, for example, the terminal device may be a smart phone, a personal computer, a tablet computer, a wearable device, a vehicle-mounted terminal, and the like.
Fig. 2 is a schematic flowchart of a washing machine fault early warning method according to an embodiment of the present disclosure, where the method may be executed by a washing machine fault early warning device, and the device may be implemented by software and/or hardware, for example: the device may be part or all of a washing machine, and the following describes a washing machine fault early warning method by using the washing machine as an execution main body, as shown in fig. 2, the fault early warning method provided by the embodiment of the present application may include:
step S101: and acquiring the actual energy consumption of the preset energy consumption parameter under the current washing program of the washing machine.
The washing machine generates certain energy consumption in the process of executing the washing program, and if the performance of the washing machine is reduced, the energy consumption of the washing machine in the process of executing the washing program is different. The embodiment of the present application does not limit the number and the type of the preset energy consumption parameters, and in a possible implementation manner, the preset energy consumption parameters may be any one or more of water consumption, power consumption, and time consumption.
The actual energy consumption of the preset energy consumption parameter is obtained, the preset energy consumption parameter can be automatically monitored when the washing machine starts to execute the current washing program, and the actual energy consumption of the preset energy consumption parameter is obtained until the current washing program is finished. In one possible embodiment, the water inlet flow of the water inlet valve of the washing machine can be monitored through a flow meter to obtain the water consumption of the washing machine during the execution of the current washing program; the power consumption of the washing machine in the execution process of the current washing program can be monitored through an ammeter in the washing machine; the amount of time the washing machine spends during the execution of the current washing program may be monitored by a timer in the washing machine. The embodiments of the present application are merely examples, and are not limited thereto.
Step S102: and determining the working state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program.
Wherein, the working state of the washing machine includes a normal state and an abnormal state. If the operating state of the washing machine is a normal state, the washing machine does not need to be maintained, and if the operating state of the washing machine is an abnormal state, the washing machine needs to be maintained. Among them, the maintenance of the washing machine may be cleaning and maintenance of the washing machine, etc.
The theoretical energy consumption of the washing machine under the current washing program can be determined by the washing mode of the current washing program. In a possible embodiment, for different washing programs of the washing machine, the theoretical energy consumption corresponding to each washing program may be set, for example, if the current washing program is the hybrid washing mode, the theoretical energy consumption of the washing machine under the current washing program is the first theoretical energy consumption; if the current washing program is the wool washing mode, the theoretical energy consumption of the washing machine under the current washing program is the second theoretical energy consumption, which is taken as an example only and not limited thereto in the embodiments of the present application.
In another possible embodiment, the theoretical energy consumption of the washing machine under the current washing program may be determined by the washing parameter information of the current washing program. Based on this, before the working state of the washing machine is judged according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, the method further comprises the following steps:
acquiring washing parameter information of a current washing program; and determining the theoretical energy consumption of the washing machine under the current washing program according to the washing parameter information.
The washing parameter information of the current washing program can be acquired through a control panel of the washing machine, or can be acquired through a terminal device in data communication with the washing machine, for example, through an application program on the terminal device. The embodiment of the application does not limit the information type and the number of the washing parameter information of the current washing program of the washing machine. In one possible embodiment, the washing parameter information includes at least one of: laundry type, laundry weight, washing program, washing time, washing times, rinsing times, heating time. The embodiments of the present application are merely examples, and are not limited thereto.
After the washing parameter information of the current washing program is obtained, the washing machine determines the theoretical energy consumption of the washing machine under the current washing program according to the washing parameter information, and in a possible implementation manner, the theoretical energy consumption of the preset energy consumption parameter can be obtained through the washing parameter information and a preset calculation rule. For example, the amount of time consumed may be determined by the washing time, and the amount of power consumed may be determined by the number of times of washing, the number of times of rinsing, and the heating time.
After the actual energy consumption and the theoretical energy consumption are determined, the working state of the washing machine is determined according to the actual energy consumption and the theoretical energy consumption. In a possible embodiment, the preset energy consumption parameters may be one or more, the actual energy consumption and the theoretical energy consumption under each preset energy consumption parameter may be compared respectively, and if the actual energy consumption is higher than the theoretical energy consumption, the operating state of the washing machine is an abnormal state; or, if the actual energy consumption of the preset energy consumption parameters with the preset number is higher than the theoretical energy consumption, it indicates that the operating state of the washing machine is an abnormal state, and the like.
In another possible embodiment, the theoretical energy consumption is a normal energy consumption interval of the washing machine in a normal state, and the determining the operating state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine in the current washing program includes:
judging whether the actual energy consumption is in a normal energy consumption interval or not; and if the actual energy consumption is in the normal energy consumption interval, judging that the working state of the washing machine is a normal state.
Judging whether the working state of the washing machine is in a normal state or not by judging that the actual energy consumption release under the preset energy consumption parameter is in a normal energy consumption interval, if so, judging that the working state of the washing machine is in the normal state, and if not, judging that the working state of the washing machine is in an abnormal state.
In the embodiment of the application, the theoretical energy consumption of the washing machine under the current washing program is determined according to the washing parameter information of the current washing program, so that the accuracy of theoretical energy consumption calculation is improved, and the accuracy of judging the working state of the washing machine can be further improved.
Step S103: and if the working state of the washing machine is an abnormal state, pushing prompt early warning information to a user.
After judgment, if the working state of the washing machine is an abnormal state, the prompt early warning information is pushed to the user, and the implementation mode of pushing the prompt early warning information to the user is not limited, for example, the user can be prompted through an indicator lamp on the washing machine, or the user can be prompted by sending voice information; or, the user may be prompted through a display screen of the washing machine; or, the user may be prompted through a terminal device bound to the washing machine, which is taken as an example and is not limited thereto in the embodiment of the present application.
For convenience of understanding, fig. 3 is an interface schematic diagram of a display screen of a washing machine provided in the embodiment of the present application, and as shown in fig. 3, when an operating state of the washing machine is an abnormal state, the washing machine displays "pay attention to maintenance of the washing machine" through the display screen 31 to prompt a user to clean or maintain the washing machine in time.
In the embodiment of the application, whether the working state of the washing machine is abnormal or not is determined through the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, and when the washing machine is in an abnormal state, the early warning information is pushed to a user, so that the early warning is carried out on the washing machine aiming at the service condition of each washing machine, the reliability of the early warning can be improved, and the user experience can be enhanced.
In a possible implementation manner, on the basis of the above embodiment, the prompt warning information can be pushed to the user according to the use condition of the washing machine. Fig. 4 is a schematic flowchart of a washing machine fault warning method according to another embodiment of the present disclosure, which may be implemented by a washing machine fault warning device, where the device may be implemented by software and/or hardware, for example: the device may be part or all of a washing machine, and the following describes a washing machine fault early warning method by using the washing machine as an execution main body, as shown in fig. 4, the fault early warning method provided by the embodiment of the present application may further include:
step S201: the accumulated use times and/or the accumulated use time of the washing machine are acquired.
The embodiment of the present application does not limit the specific implementation manner of obtaining the cumulative usage times and the cumulative usage time of the washing machine, for example, the cumulative usage time of the washing machine may be obtained by a timer, and the cumulative usage times of the washing machine may be obtained by a counter.
Step S202: and if the accumulated use times exceed the preset times and/or the accumulated use time exceeds the preset time, pushing prompt early warning information to the user.
The specific setting mode of the preset times and the preset time is not implemented in the embodiment of the application, for example, different preset times and different preset time can be set according to different models of washing machines, or different preset times and different preset time can be set according to different modes selected by a user.
And if the accumulated use time of the washing machine exceeds the preset times, or the accumulated use time of the washing machine exceeds the preset time, or the accumulated use time of the washing machine exceeds the preset times and the accumulated use time of the washing machine exceeds the preset time, pushing prompt early warning information to a user.
In the embodiment of the application, whether the prompt early warning information needs to be pushed to the user or not can be determined through the accumulated use times and the accumulated use time of the washing machine, and the reliability of early warning is further ensured.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
Fig. 5 is a schematic structural diagram of a washing machine fault early warning device provided in an embodiment of the present application, where the device may be implemented in a software and/or hardware manner, and as shown in fig. 5, the washing machine fault early warning device provided in an embodiment of the present application may include:
an obtaining module 51, configured to obtain an actual energy consumption of the preset energy consumption parameter under a current washing program of the washing machine.
The determining module 52 determines the working state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, wherein the working state of the washing machine comprises a normal state and an abnormal state.
And the pushing module 53 is configured to push prompt warning information to a user if the working state of the washing machine is an abnormal state.
In a possible implementation manner, the washing machine fault early warning device provided by the embodiment of the application,
the obtaining module 51 is further configured to obtain washing parameter information of the current washing program.
The determining module 52 is further configured to determine, according to the washing parameter information, a theoretical energy consumption of the washing machine under the current washing program.
In a possible embodiment, the theoretical energy consumption is a normal energy consumption interval of the washing machine in a normal state, and the determining module 52 is specifically configured to:
judging whether the actual energy consumption is in a normal energy consumption interval or not;
and if the actual energy consumption is in the normal energy consumption interval, judging that the working state of the washing machine is a normal state.
In one possible embodiment, the washing parameter information includes at least one of:
the type of the laundry, the weight of the laundry, the washing program, the washing time, the washing times, the rinsing times, and the heating time;
the preset energy consumption parameter is at least one of the following parameters:
power consumption, water consumption, and time consumption.
In a possible implementation manner, the washing machine fault early warning device provided by the embodiment of the application,
the obtaining module 51 is further configured to obtain the cumulative number of uses and/or the cumulative time of use of the washing machine;
the pushing module 53 is further configured to push a prompt warning message to the user if the accumulated usage time exceeds a preset time and/or the accumulated usage time exceeds a preset time.
The device embodiments provided in the present application are merely schematic, and the module division in fig. 5 is only one logic function division, and there may be another division manner in actual implementation. For example, multiple modules may be combined or may be integrated into another system. The coupling of the various modules to each other may be through interfaces that are typically electrical communication interfaces, but mechanical or other forms of interfaces are not excluded. Thus, modules described as separate components may or may not be physically separate, may be located in one place, or may be distributed in different locations on the same or different devices.
Fig. 6 is a schematic structural diagram of a washing machine according to an embodiment of the present application, and as shown in fig. 6, the washing machine includes:
a processor 61, a memory 62, a transceiver 63 and a computer program; wherein the transceiver 63 implements data transmission with other devices, a computer program is stored in the memory 62 and configured to be executed by the processor 61, the computer program comprising instructions for executing the method for determining a washing pattern, the contents and effects thereof refer to the method embodiment.
In addition, embodiments of the present application further provide a computer-readable storage medium, in which computer-executable instructions are stored, and when at least one processor of the user equipment executes the computer-executable instructions, the user equipment performs the above-mentioned various possible methods.
Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A washing machine fault early warning method is characterized by comprising the following steps:
acquiring actual energy consumption of a preset energy consumption parameter under a current washing program of the washing machine;
determining the working state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, wherein the working state of the washing machine comprises a normal state and an abnormal state;
and if the working state of the washing machine is the abnormal state, pushing prompt early warning information to a user.
2. The method of claim 1, before determining the operating state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, further comprising:
acquiring washing parameter information of the current washing program;
and determining the theoretical energy consumption of the washing machine under the current washing program according to the washing parameter information.
3. The method according to claim 2, wherein the theoretical energy consumption is a normal energy consumption interval of the washing machine in the normal state, and the determining the operating state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine in the current washing program comprises:
judging whether the actual energy consumption is in the normal energy consumption interval or not;
and if the actual energy consumption is within the normal energy consumption interval, judging that the working state of the washing machine is the normal state.
4. The method of claim 2, wherein the washing parameter information comprises at least one of:
the type of the laundry, the weight of the laundry, the washing program, the washing time, the washing times, the rinsing times, and the heating time;
the preset energy consumption parameter is at least one of the following parameters:
power consumption, water consumption, and time consumption.
5. The method according to any one of claims 1-4, further comprising:
acquiring the accumulated use times and/or the accumulated use time of the washing machine;
and if the accumulated using times exceed the preset times and/or the accumulated using time exceeds the preset time, pushing prompt early warning information to the user.
6. A failure early warning device of a washing machine is characterized in that,
the acquisition module is used for acquiring the actual energy consumption of a preset energy consumption parameter under the current washing program of the washing machine;
the determining module is used for determining the working state of the washing machine according to the actual energy consumption and the theoretical energy consumption of the washing machine under the current washing program, wherein the working state of the washing machine comprises a normal state and an abnormal state;
and the pushing module is used for pushing prompt early warning information to a user if the working state of the washing machine is the abnormal state.
7. The apparatus of claim 6,
the acquisition module is further used for acquiring the washing parameter information of the current washing program;
the determining module is further configured to determine theoretical energy consumption of the washing machine under the current washing program according to the washing parameter information.
8. The apparatus according to claim 7, wherein the theoretical energy consumption is a normal energy consumption interval of the washing machine in the normal state, and the determining module is specifically configured to:
judging whether the actual energy consumption is in the normal energy consumption interval or not;
and if the actual energy consumption is within the normal energy consumption interval, judging that the working state of the washing machine is the normal state.
9. A washing machine, characterized by comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
10. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-5.
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