WO2022188553A1

WO2022188553A1 - Control method and control apparatus for washing machine, and electronic device and storage medium

Info

Publication number: WO2022188553A1
Application number: PCT/CN2022/072412
Authority: WO
Inventors: 陈瑜; 姜辉; 许梁; 郝亚东
Original assignee: 青岛海尔洗衣机有限公司; 海尔智家股份有限公司
Priority date: 2021-03-10
Filing date: 2022-01-17
Publication date: 2022-09-15
Also published as: CN115074952A

Abstract

A control method and control apparatus (3) for a washing machine, and an electronic device (4) and a storage medium. The control method for a washing machine comprises: acquiring load detection information, wherein the load detection information is used for representing a load of an constant-frequency electric motor; determining a running state of the constant-frequency electric motor according to the load detection information; and adjusting the current washing mode of an intelligent washing machine according to the running state of the constant-frequency electric motor, so as to reduce the load of the constant-frequency electric motor.

Description

[Title of invention formulated by ISA pursuant to Rule 37.2] Washing machine control method, control device, electronic device and storage medium

This application claims the priority of the Chinese patent application with the application number 202110262236.2 and the application name "Washing Machine Control Method, Apparatus, Electronic Equipment and Storage Medium" filed with the China Patent Office on March 10, 2021, the entire contents of which are incorporated by reference in this application.

technical field

The present application relates to the technical field of smart home appliances, and in particular, to a washing machine control method, device, electronic device and storage medium.

Background technique

At present, washing machines have become one of the most common household appliances in mass households. With the improvement of users' living standards and the requirements for clothing and clothing, there are more and more scenarios where users use washing machines to classify and clean different clothes, causing the washing machine's Increase in frequency of use and duration of use.

In the prior art, in order to avoid overheating of the motor caused by long-term operation of the washing machine, an overheating protection mechanism is set up. After the overheating protection mechanism is triggered, the washing machine will immediately stop running, so that the washing machine cannot continue to work, affecting the working efficiency and stability of the washing machine. sex.

Accordingly, there is a need in the art for a new washing machine control method, device, electronic device and storage medium to solve the above problems.

SUMMARY OF THE INVENTION

The purpose of this application is to provide a washing machine control method, device, electronic device and storage medium. The utility model is used to solve the problem that the existing intelligent washing machine cannot continue to work after the overheat protection mechanism is triggered.

In a first aspect, the present application discloses a method for controlling a washing machine, including:

Obtain load detection information, which is used to characterize the load of the fixed-frequency motor; determine the operating state of the fixed-frequency motor according to the load detection information; adjust the fixed-frequency motor according to the operating state of the fixed-frequency motor The current washing mode of the intelligent washing machine is used to reduce the load of the fixed frequency motor.

In a possible implementation manner, the smart washing machine is provided with a thyristor load resistance-capacitance resistor, and the load detection information includes a resistance value of the thyristor load resistance-capacitance resistor.

In a possible implementation manner, the operating state of the fixed-frequency motor is an overload state, and determining the operating state of the fixed-frequency motor according to the load detection information includes: acquiring a preset motor state prediction model, and the The motor state preset model is a neural network model trained to convergence, and the motor state prediction model is used to represent the mapping relationship between the resistance value of the SCR load resistance-capacitance resistance and the load of the fixed-frequency motor; According to the resistance value of the resistance-capacitance resistance of the thyristor load and the motor state prediction model, the current load of the fixed-frequency motor is determined, and the current load indicates that the fixed-frequency motor is in the overload state.

In a possible implementation manner, adjusting the current washing mode of the smart washing machine according to the operating state of the fixed-frequency motor includes: obtaining first operating information of the smart washing machine, where the first operating information is used for Characterize the current washing mode of the intelligent washing machine and the completed tasks in the current washing mode; according to the first operation information, determine the second operation information, and the second operation information is used to characterize the operation of the intelligent washing machine. Unfinished tasks in the current laundry mode; modify the current laundry mode according to the second operation information to obtain a revised laundry mode, and the revised laundry mode is used to execute the unfinished tasks in the current laundry mode task, wherein the motor load generated by executing the incomplete task by operating the revised laundry mode is smaller than the motor load generated by executing the incomplete task by operating the current laundry mode.

In a possible implementation manner, the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine; according to the second operation information, modify the The current laundry mode includes: determining each work task in the unfinished tasks through the second operation information; determining a load task in each of the work tasks, wherein the load task represents the A work task that causes the load of the fixed-frequency motor to increase; a correction task corresponding to the load task is generated, wherein the execution time of the correction task is less than the execution time of the corresponding load task; Fix the task, fix the current laundry mode.

In a possible implementation manner, the load task corresponds to at least two correction tasks, and the execution duration of the load task is the sum of the respective execution durations of the at least two correction tasks.

In a possible implementation manner, the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine; according to the second operation information, modify the The current laundry mode includes: determining each work task in the unfinished tasks through the second operation information; determining a load task in each of the work tasks, wherein the load task represents the A work task that causes the load of the fixed-frequency motor to increase; a correction task corresponding to the load task is generated, wherein the motor power corresponding to the correction task is less than the motor power corresponding to the corresponding load task; according to each of the load tasks The corresponding correction task is to correct the current laundry mode.

In a second aspect, the present application discloses a washing machine control device, which is applied to an intelligent washing machine. The intelligent washing machine is provided with a fixed-frequency motor, and the device includes:

an acquisition module for acquiring load detection information, where the load detection information is used to characterize the load of the fixed frequency motor;

a determining module, configured to determine the running state of the fixed-frequency motor according to the load detection information;

The control module is configured to adjust the current washing mode of the intelligent washing machine according to the running state of the fixed-frequency motor, so as to reduce the load of the fixed-frequency motor.

In a possible implementation manner, the operating state of the fixed-frequency motor is an overload state, and the determining module is specifically configured to: obtain a preset prediction model of the motor state, and the preset motor state model is a training-to-convergence model The neural network model, the motor state prediction model is used to represent the mapping relationship between the resistance value of the thyristor load resistance-capacitance resistance and the load of the fixed-frequency motor; according to the thyristor load resistance-capacitance resistance and the motor state prediction model, determine the current load of the fixed-frequency motor, and the current load indicates that the fixed-frequency motor is in the overload state.

In a possible implementation manner, the control module is specifically configured to: obtain first operation information of the intelligent washing machine, where the first operation information is used to represent the current washing mode of the intelligent washing machine, and the Completed tasks in the current laundry mode; determine second operation information according to the first operation information, where the second operation information is used to represent uncompleted tasks in the current laundry mode of the intelligent washing machine; according to the first operation information 2. Operation information, modify the current laundry mode to obtain a modified laundry mode, and the modified laundry mode is used to perform unfinished tasks in the current laundry mode, wherein, by running the modified laundry mode The motor load generated by executing the incomplete task is smaller than the motor load generated by executing the incomplete task by running the current laundry mode.

In a possible implementation manner, the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine; the determining module is running according to the second operation information, when correcting the current laundry mode, it is specifically used to: determine each job task in the unfinished tasks through the second operation information; determine the load task in each of the job tasks, wherein the load The task represents a work task that causes the load of the fixed-frequency motor to increase among the work tasks; a correction task corresponding to the load task is generated, wherein the execution time of the correction task is shorter than the execution time of the corresponding load task; The current laundry mode is corrected according to the correction task corresponding to each of the load tasks.

In a possible implementation manner, the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine; the control module is running according to the second operation information, when correcting the current laundry mode, it is specifically used to: determine each job task in the unfinished tasks through the second operation information; determine the load task in each of the job tasks, wherein the load The task represents a work task that causes the load of the fixed-frequency motor to increase in each of the work tasks; a correction task corresponding to the load task is generated, wherein the motor power corresponding to the correction task is smaller than the motor corresponding to the corresponding load task. power; the current laundry mode is corrected according to the correction task corresponding to each load task.

In a third aspect, the present application discloses an electronic device, comprising: a memory, a processor and a computer program;

Wherein, the computer program is stored in the memory, and is configured to execute the method provided by any one of the implementation manners of the first aspect above by the processor.

In a preferred technical solution of the above electronic device, the electronic device is a controller of an intelligent washing machine.

In a fourth aspect, the present application discloses a computer-readable storage medium, including computer code, which, when executed on a computer, causes the computer to execute the method provided by any one of the implementations of the above first aspect.

In a fifth aspect, the present application discloses a computer program product, including program code, when the computer runs the computer program product, the program code executes the method provided by any one of the implementation manners of the above first aspect.

In a sixth aspect, the present application discloses a chip including a processor. The processor is configured to call and run the computer program stored in the memory, so as to execute the corresponding operations and/or processes executed in the washing machine control method of the embodiment of the present application. Optionally, the chip further includes a memory, the memory and the processor are connected to the memory through a circuit or a wire, and the processor is used for reading and executing the computer program in the memory. Further optionally, the chip further includes a communication interface, and the processor is connected to the communication interface. The communication interface is used to receive data and/or information to be processed, and the processor acquires the data and/or information from the communication interface and processes the data and/or information. The communication interface may be an input-output interface.

In combination with the above technical solutions, the present application obtains load detection information, the load detection information is used to characterize the load of the fixed frequency motor; according to the load detection information, the operating state of the fixed frequency motor is determined; according to the fixed frequency motor The running state of the frequency motor is adjusted, and the current washing mode of the intelligent washing machine is adjusted to reduce the load of the fixed frequency motor. According to the load detection information, the current running state of the fixed-frequency motor can be monitored in real time. When the fixed-frequency motor is in an overload state, the load of the fixed-frequency motor can be reduced by adjusting the laundry mode, so that the intelligent washing machine can avoid triggering due to excessive motor temperature. Overheating protection mechanism, and can continue to perform laundry tasks, improving the running stability of the smart washing machine.

Description of drawings

1 is a schematic diagram of overheating protection of a washing machine in the prior art provided by an embodiment of the present application;

2 is a flowchart of a method for controlling a washing machine provided by an embodiment of the present application;

3 is a flowchart of a method for controlling a washing machine provided by another embodiment of the present application;

FIG. 4 is a flowchart of an implementation manner of step S206 in the embodiment shown in FIG. 3;

FIG. 5 is a flowchart of another implementation manner of step S206 in the embodiment shown in FIG. 3;

6 is a schematic structural diagram of a washing machine control device provided by an embodiment of the present application;

FIG. 7 is a schematic diagram of an electronic device according to an embodiment of the present application.

Detailed ways

First of all, those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application, and are not intended to limit the protection scope of the present application. Those skilled in the art can adjust it as needed to adapt to specific applications.

In addition, it should be noted that, in the description of this application, unless otherwise expressly specified and limited, the terms "connected" and "connected" should be understood in a broad sense, for example, it may be a fixed connection or a detachable connection , or integrally connected; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal communication of the two components. For those skilled in the art, the specific meanings of the above terms in this application can be understood according to specific situations.

First, the terms involved in this application are explained:

1) Smart home appliances refer to home appliances formed by introducing microprocessors, sensor technology, and network communication technology into home appliances. They have the characteristics of intelligent control, intelligent perception and intelligent application. The operation process of intelligent home appliances often depends on the The application and processing of modern technologies such as networking, the Internet, and electronic chips, for example, smart home appliances can be connected to electronic devices to realize remote control and management of smart home appliances by users.

2) Terminal equipment refers to the electronic equipment with wireless connection function. The terminal equipment can communicate with the above-mentioned smart household appliances by connecting to the Internet, or directly connect with the above-mentioned smart household appliances through Bluetooth, wifi, etc. Make a communication connection. In some embodiments, the terminal device is, for example, a mobile device, a computer, an in-vehicle device built in a hover vehicle, or the like, or any combination thereof. Mobile devices may include, for example, mobile phones, smart home devices, wearable devices, smart mobile devices, virtual reality devices, etc., or any combination thereof, wherein the wearable devices include, for example, smart watches, smart bracelets, pedometers, and the like.

3) "Multiple" refers to two or more, and other quantifiers are similar. "And/or", which describes the association relationship of the associated objects, means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects are an "or" relationship.

4) "Correspondence" may refer to an association relationship or binding relationship, and the correspondence between A and B refers to an association relationship or binding relationship between A and B.

The application scenarios of the embodiments of the present application are explained below:

1 is a schematic diagram of overheating protection for a washing machine in the prior art provided by an embodiment of the present application. As shown in FIG. 1 , during the washing operation process of a washing machine installed with a fixed-frequency motor, with the accumulation of running time, And the load increases, the temperature of the fixed-frequency motor in the washing machine will gradually increase, and the controller of the washing machine will monitor the motor temperature. When the motor temperature is normal, the controller will control the fixed-frequency motor to work normally as needed; When the temperature is too high, the smart washing machine will trigger the overheat protection mechanism, stop working and issue an alarm to prevent the motor and other circuit components from being burned. In the prior art, since a fixed-frequency motor cannot perform frequency modulation control, the motor is generally controlled to stop, or the power supply of the fixed-frequency motor is directly cut off. However, this will cause the washing program that the smart washing machine is running to be interrupted, and the washing operation cannot be continued. Especially for some household washing machines that have been used for a long time and frequently used, or commercial washing machines, the problem that the washing machine cannot be continued due to the overheating of the motor often occurs, which affects the working efficiency and stability of the washing machine.

The technical solutions of the present application and how the technical solutions of the present application solve the above-mentioned technical problems will be described in detail below with specific examples. The following specific embodiments may be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below with reference to the accompanying drawings.

FIG. 2 is a flowchart of a washing machine control method provided by an embodiment of the present application, which is applied to an intelligent washing machine. A fixed-frequency motor is provided in the intelligent washing machine. As shown in FIG. 2 , the washing machine control method provided by this embodiment includes the following steps :

Step S101 , acquiring load detection information, where the load detection information is used to characterize the load of the fixed-frequency motor.

Exemplarily, the intelligent washing machine is provided with a controller, more specifically, for example, a control computer board, and the controller determines the load condition of the fixed-frequency motor by acquiring the load detection information. Among them, the load detection information is the monitoring information obtained by the controller by monitoring the load of the fixed-frequency motor, such as the current value, voltage value, resistance value, capacitance value and other parameter values of the circuit of the fixed-frequency motor and specific components. , which is not specifically limited here.

Step S102, according to the load detection information, determine the running state of the fixed-frequency motor.

Exemplarily, the operating state refers to an operating load state of the electric frequency motor, more specifically, an overload state or a non-overload state. Of course, according to specific needs, the operating state of the fixed-frequency motor can also be further subdivided, such as the first state, the second state, the third state, etc., to correspond to different loads. When the load of the fixed-frequency motor changes, the running state of the fixed-frequency motor changes, and accordingly, the load detection information obtained by the controller of the smart washing machine will also change accordingly. The preset mapping relationship can determine the running state of the corresponding fixed-frequency motor.

In a possible implementation manner, the smart washing machine is provided with a thyristor load resistance-capacitance resistor, for example, the thyristor load resistance-capacitance resistor is set on the controller, or on the computer board connected to the fixed-frequency motor . The load detection information includes the resistance value of the thyristor load resistance-capacitance resistance. Through the detection program set in the controller, the resistance value of the thyristor load resistance-capacitance resistance is detected. When the external power grid is stable, if the thyristor is detected. When the resistance value of the load resistance-capacitance resistor becomes smaller, the power of the circuit will become larger, and then it can be judged that the motor is in an overloaded operation state. rise. Therefore, through the resistance value of the resistance-capacitance resistance of the thyristor load, the running state of the fixed-frequency motor can be determined, so as to carry out subsequent program control.

Step S103, according to the running state of the fixed-frequency motor, adjust the current washing mode of the intelligent washing machine to reduce the load of the fixed-frequency motor.

Exemplarily, the laundry operation of the intelligent washing machine is performed based on the laundry mode, such as "quick wash", "stubborn wash" and so on. When the intelligent washing machine is in the process of executing different washing modes, the fixed-frequency motor works or stops working with specific operating parameters as needed. Further, after determining the running state of the fixed-frequency motor, if the fixed-frequency motor is in an overload state, or if the fixed-frequency motor is in an overload state for a period of time, it can be judged that the working temperature of the motor is rising or has risen, if not. With intervention, it is likely to trigger the overheat protection mechanism. Therefore, if it is determined that the fixed-frequency motor is in an overload state, the washing mode currently being executed by the smart washing machine is adjusted accordingly to reduce the current load of the fixed-frequency motor, so as to reduce the temperature of the fixed-frequency motor and avoid triggering the overheat protection mechanism.

Specifically, the method for adjusting the current washing mode of the smart washing machine includes reducing the rotational speed of the fixed-frequency motor under the current washing model, or shortening the running time of the fixed-frequency motor, or performing laundry tasks that do not require the rotation of the fixed-frequency motor, which is not specifically described in this embodiment. The implementation process is described in detail.

In this embodiment, by acquiring the load detection information, the load detection information is used to characterize the load of the fixed-frequency motor; according to the load detection information, the running state of the fixed-frequency motor is determined; according to the running state of the fixed-frequency motor, the current laundry of the intelligent washing machine is adjusted mode to reduce the load of the fixed frequency motor. According to the load detection information, the current running state of the fixed-frequency motor can be monitored in real time. When the fixed-frequency motor is in an overload state, the load of the fixed-frequency motor can be reduced by adjusting the laundry mode, so that the intelligent washing machine can avoid triggering due to excessive motor temperature. Overheating protection mechanism, and can continue to perform laundry tasks, improving the running stability of the smart washing machine.

FIG. 3 is a flowchart of a washing machine control method provided by another embodiment of the present application. As shown in FIG. 3 , the washing machine control method provided by this embodiment is based on the washing machine control method provided by the embodiment shown in FIG. 2 . S103 is further refined, the washing machine control method provided by this embodiment includes the following steps:

Step S201 , acquiring load detection information, where the load detection information is used to characterize the load of the fixed-frequency motor.

Step S202, obtain a preset motor state prediction model, the motor state preset model is a neural network model trained to convergence, and the motor state prediction model is used to characterize the relationship between the resistance value of the resistance-capacitance resistance of the thyristor load and the load of the fixed-frequency motor. mapping relationship between.

Step S203: Determine the current load of the fixed-frequency motor according to the resistance value of the SCR load resistance-capacitance resistance and the motor state prediction model, and the current load indicates that the fixed-frequency motor is in an overload state.

Exemplarily, the motor state prediction model may be preset in the controller of the smart water heater, or model data obtained by the smart water heater through communication with a cloud server. The motor state prediction model can be obtained by collecting and marking the corresponding data between the resistance value of the SCR load resistance-capacitance resistance and the load of the fixed-frequency motor as a training sample, and training until the model converges. The specific process is described in detail.

Further, according to the resistance value of the SCR load resistance-capacitance resistance and the motor state prediction model, the current load of the corresponding fixed-frequency motor can be determined. If the current load is greater than the preset load threshold, it is determined that the fixed-frequency motor is in an overload state. .

In step S204, first operation information of the smart washing machine is obtained, and the first operation information is used to represent the current washing mode of the intelligent washing machine and the completed tasks in the current washing mode.

Step S205, determining the second operation information according to the first operation information, where the second operation information is used to represent the unfinished tasks in the current washing mode of the intelligent washing machine.

Exemplarily, the first operation information is information representing the current washing mode of the smart washing machine and the completed tasks of the current model. Specifically, for example, the current washing mode is "quick wash", and the washing mode includes water injection, heating, Laundry liquid, soaking, inner drum rotation, drainage, inner drum rotation, drainage, and drying need to be performed in sequence. According to the information represented by the first operation information, it can be determined that the current "quick wash" has completed several tasks of water injection, heating, putting in laundry liquid, soaking, and several tasks; and several tasks of drainage, inner drum rotation, drainage, and drying have not been completed. , among which, the information representing the unfinished tasks of drainage, inner cylinder rotation, drainage, and drying is the second operation information.

Step S206, correcting the current laundry mode according to the second operation information to obtain the corrected laundry mode.

Wherein, the revised laundry mode is used to perform the unfinished tasks in the current laundry mode, wherein, the motor load generated by running the revised laundry mode to perform the unfinished tasks is smaller than that generated by running the current laundry mode to perform the unfinished tasks. motor load.

Optionally, the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine. In a possible implementation manner, as shown in FIG. 4 , step S206 includes step S2061 , S2062, S2063, S2064 four specific implementation steps:

Step S2061: Determine each job task in the uncompleted tasks through the second operation information.

Step S2062: Determine a load task in each work task, wherein the load task represents a work task in each work task that causes the load of the fixed-frequency motor to increase.

Exemplarily, in the operation tasks, the fixed-frequency motor is required to participate, that is, the tasks that will increase the load of the fixed-frequency motor are load tasks, such as inner cylinder rotation, drying, and drying tasks; while tasks such as water injection and drainage are Offload tasks. Performing load tasks will increase the temperature of the fixed frequency motor, anyway, non-load tasks will not. Therefore, by determining the load task and reducing the proportion of the load task in all the uncompleted tasks, the purpose of reducing the load of the fixed frequency motor can be achieved. The determination of the load task and the non-load task may be determined by the identification information of each job task, and the process will not be repeated here.

Step S2063: Generate a correction task corresponding to the load task, wherein the execution duration of the correction task is shorter than the execution duration of the corresponding load task.

Further, after determining the load task, a corresponding correction task is generated by reducing the proportion of the load task in all the unfinished tasks. After adjustment, the task content of the generated correction task B is "the inner cylinder rotates for 4 minutes", that is, the execution time of the correction task is shorter than the execution time of the corresponding load task. By reducing the execution time of the correction task, the purpose of reducing the load of the fixed-frequency motor and thus the temperature of the fixed-frequency motor is realized.

In a possible implementation manner, the load task corresponds to at least two correction tasks, and the execution duration of the load task is the sum of the respective execution durations of the at least two correction tasks. Specifically, for example, the task content of the load task A is "rotate the inner cylinder for 8 minutes", and the load task A is adjusted, the generated correction task A1 is "the inner cylinder rotates for 4 minutes", and the generated correction task A2 is "the inner cylinder rotates for 4 minutes". Spin for 4 minutes", in the process of the smart washing machine performing the correction task, first perform the correction task A1, and then perform the correction task A2 after resting for a preset period of time, so that the sum of the respective execution time of the correction task A1 and the correction task A2, Equal to load task A. Ensure that the execution time of the task is the same as the execution time before the correction, and avoid the problem of affecting the laundry effect caused by shortening the execution time of the task.

Step S2064: Correct the current laundry mode according to the correction task corresponding to each load task.

Exemplarily, after the correction task corresponding to each load task is determined, the current laundry mode is corrected according to the time sequence relationship of each correction task to obtain the corrected laundry mode. Among them, the rest time can be increased between each correction task to reduce the overload degree of the fixed-frequency motor and reduce the temperature of the motor. After that, by executing the revised laundry mode, it can continue to complete the unfinished tasks while avoiding the problem of triggering the motor overheating protection, thereby improving the running stability of the smart washing machine.

Optionally, the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine. In another possible implementation manner, as shown in FIG. 5 , step S206 includes the steps of Four specific implementation steps of S2065, S2066, S2067, and S2068:

Step S2065: Determine each job task in the uncompleted tasks through the second operation information.

Step S2066: Determine the load task in each work task, wherein the load task represents the work task that causes the load of the fixed-frequency motor to increase in each work task.

In this embodiment, the implementation manners of steps S2065 to S2066 are the same as the implementation manners of steps S2061 to S2062 in the embodiment shown in FIG. 4 of the present application, and details are not repeated here.

Step S2067: Generate a correction task corresponding to the load task, wherein the motor power corresponding to the correction task is smaller than the motor power corresponding to the corresponding load task.

Step S2068: Correct the current laundry mode according to the correction task corresponding to each load task.

Exemplarily, according to the load task, the motor power corresponding to the load task is adjusted to generate a corrected task with lower motor power. For example, if the task content of the load task is "inner cylinder rotates, the rotation speed is 10 revolutions per second", then the task content of the corresponding generated correction task is "inner cylinder rotation, the rotation speed is 5 revolutions per second". The motor power corresponding to the realization correction task is smaller than the motor power corresponding to the corresponding load task. Among them, more specifically, the specific strategy for modifying the motor power corresponding to the load task may be preset by the user, or the configuration information preset in the controller of the intelligent washing machine by the manufacturer of the intelligent washing machine when leaving the factory, which is not discussed here. specific restrictions. In this embodiment, by performing power reduction adjustment on the load task, the adjusted modified task can continue to perform the unfinished laundry task at a lower power, avoiding the problem of overheating protection of the fixed frequency motor and failing to complete the laundry operation, and improving the intelligence The running stability of the washing machine.

FIG. 6 is a schematic structural diagram of a washing machine control device provided by an embodiment of the application. As shown in FIG. 6 , the washing machine control device 3 provided by this embodiment includes:

The acquisition module 31 is used to acquire load detection information, and the load detection information is used to characterize the load of the fixed frequency motor;

A determination module 32, configured to determine the running state of the fixed-frequency motor according to the load detection information;

The control module 33 is configured to adjust the current washing mode of the intelligent washing machine according to the running state of the fixed-frequency motor, so as to reduce the load of the fixed-frequency motor.

In a possible implementation manner, the smart washing machine is provided with a thyristor load resistance-capacitance resistor, and the load detection information includes the resistance value of the thyristor load resistance-capacitance resistor.

In a possible implementation manner, the running state of the fixed-frequency motor is an overload state, and the determination module 32 is specifically configured to: obtain a preset motor state prediction model, and the preset motor state model is a neural network model trained to convergence, The motor state prediction model is used to characterize the mapping relationship between the resistance of the thyristor load resistance-capacitance resistance and the load of the fixed-frequency motor; according to the resistance of the thyristor load resistance-capacitance resistance and the motor state prediction model, the fixed-frequency motor is determined. The current load indicates that the fixed frequency motor is in an overload state.

In a possible implementation manner, the control module 33 is specifically configured to: obtain first operation information of the intelligent washing machine, where the first operation information is used to represent the current washing mode of the intelligent washing machine and the completed tasks in the current washing mode; According to the first operation information, the second operation information is determined, and the second operation information is used to represent the unfinished tasks in the current washing mode of the intelligent washing machine; according to the second operation information, the current washing mode is revised to obtain the revised washing mode, and The post-washing mode is used to execute the unfinished tasks in the current washing mode, wherein the motor load generated by executing the unfinished tasks by running the revised washing mode is smaller than the motor load generated by executing the unfinished tasks by running the current washing mode .

In a possible implementation manner, the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine; when the determination module 32 corrects the current washing mode according to the second operation information , which is specifically used to: determine each job task in the unfinished tasks through the second operation information; determine the load task in each job task, wherein the load task represents the job task that causes the load of the fixed-frequency motor to increase in each job task; A correction task corresponding to the load task is generated, wherein the execution time of the correction task is shorter than that of the corresponding load task; and the current laundry mode is corrected according to the correction task corresponding to each load task.

In a possible implementation manner, the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine; when the control module 33 corrects the current washing mode according to the second operation information , which is specifically used to: determine each job task in the unfinished tasks through the second operation information; determine the load task in each job task, wherein the load task represents the job task that causes the load of the fixed-frequency motor to increase in each job task; A correction task corresponding to the load task is generated, wherein the motor power corresponding to the correction task is smaller than the motor power corresponding to the corresponding load task; the current laundry mode is corrected according to the correction task corresponding to each load task.

The acquisition module 31 , the determination module 32 and the control module 33 are connected in sequence. The washing machine control device 3 provided in this embodiment can implement the technical solutions of the method embodiments shown in FIGS. 2-5 , and the implementation principles and technical effects thereof are similar, and will not be repeated here.

FIG. 7 is a schematic diagram of an electronic device provided by an embodiment of the present application. As shown in FIG. 7 , the electronic device 4 provided by this embodiment includes: a memory 41 , a processor 42 and a computer program.

The computer program is stored in the memory 41 and configured to be executed by the processor 42 to implement the washing machine control method provided by any one of the embodiments corresponding to FIG. 2 to FIG. 5 of the present application.

The memory 41 and the processor 42 are connected through a bus 43 .

The relevant descriptions can be understood by referring to the relevant descriptions and effects corresponding to the steps in the embodiments corresponding to FIG. 2 to FIG. 5 , and details are not repeated here.

Optionally, the electronic device 4 is a controller of an intelligent washing machine.

Optionally, the electronic device 4 is an intelligent washing machine.

An embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and the computer program is executed by a processor to implement the washing machine control provided by any one of the embodiments corresponding to FIG. 2 to FIG. 5 of the present application method.

Among them, the computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

An embodiment of the present application provides a computer program product, including a computer program, and the computer program is executed by a processor to control a washing machine as provided in any one of the embodiments corresponding to FIG. 2 to FIG. 5 of the present application.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are only illustrative. For example, the division of modules is only a logical function division. In actual implementation, there may be other division methods, for example, multiple modules or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or modules, and may be in electrical, mechanical or other forms.

Other embodiments of the present application will readily occur to those skilled in the art upon consideration of the specification and practice of the application disclosed herein. This application is intended to cover any variations, uses or adaptations of this application that follow the general principles of this application and include common knowledge or conventional techniques in the technical field not disclosed in this application . The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the application being indicated by the following claims.

It is to be understood that the present application is not limited to the precise structures described above and shown in the accompanying drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of this application is limited only by the appended claims.

So far, the technical solutions of the present application have been described with reference to the preferred embodiments shown in the accompanying drawings, however, those skilled in the art can easily understand that the protection scope of the present application is obviously not limited to these specific embodiments. On the premise of not departing from the principles of the present application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present application.

Those skilled in the art should realize that, in one or more of the above examples, the functions described in the embodiments of the present application may be implemented by hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. 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 medium can be any available medium that can be accessed by a general purpose or special purpose computer.

Claims

A washing machine control method, characterized in that it is applied to an intelligent washing machine, wherein the intelligent washing machine is provided with a fixed-frequency motor, and the method comprises:

acquiring load detection information, where the load detection information is used to characterize the load of the fixed-frequency motor;

According to the load detection information, determine the running state of the fixed frequency motor;

According to the running state of the fixed-frequency motor, the current washing mode of the intelligent washing machine is adjusted to reduce the load of the fixed-frequency motor.
The method according to claim 1, wherein the intelligent washing machine is provided with a thyristor load resistance-capacitance resistor, and the load detection information includes a resistance value of the thyristor load resistance-capacitance resistor.
The method according to claim 2, wherein the operating state of the fixed-frequency motor is an overload state, and determining the operating state of the fixed-frequency motor according to the load detection information comprises:

Obtain a preset motor state prediction model, the motor state preset model is a neural network model trained to convergence, and the motor state prediction model is used to characterize the resistance value of the thyristor load resistance-capacitance resistance and the fixed value. The mapping relationship between the loads of the frequency motor;

According to the resistance value of the SCR load resistance-capacitance resistance and the motor state prediction model, the current load of the fixed-frequency motor is determined, and the current load indicates that the fixed-frequency motor is in the overload state.
The method according to any one of claims 1-3, wherein adjusting the current washing mode of the intelligent washing machine according to the operating state of the fixed-frequency motor, comprising:

obtaining first operation information of the intelligent washing machine, where the first operation information is used to represent the current washing mode of the intelligent washing machine and the completed tasks in the current washing mode;

determining second operation information according to the first operation information, where the second operation information is used to represent unfinished tasks in the current washing mode of the intelligent washing machine;

According to the second operation information, the current laundry mode is modified to obtain a modified laundry mode, and the modified laundry mode is used to perform unfinished tasks in the current laundry mode, wherein by running the modified laundry mode The motor load generated by executing the incomplete task in the subsequent laundry mode is smaller than the motor load generated by executing the incomplete task by running the current laundry mode.
The method according to claim 4, wherein the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine; according to the second operation information , to amend the current laundry mode, including:

According to the second operation information, each job task in the uncompleted tasks is determined;

determining a load task in each of the work tasks, wherein the load task represents a work task in each of the work tasks that causes the load of the fixed-frequency motor to increase;

generating a correction task corresponding to the load task, wherein the execution duration of the correction task is less than the execution duration of the corresponding load task;

The current laundry mode is corrected according to the correction task corresponding to each of the load tasks.
The method according to claim 5, wherein the load task corresponds to at least two correction tasks, and the execution duration of the load task is the sum of the respective execution durations of the at least two correction tasks.
The method according to claim 4, wherein the unfinished tasks include at least one work task, and the work task is used to execute a work link in the washing mode of the intelligent washing machine; according to the second operation information , to amend the current laundry mode, including:

According to the second operation information, each job task in the uncompleted tasks is determined;

determining a load task in each of the work tasks, wherein the load task represents a work task in each of the work tasks that causes the load of the fixed-frequency motor to increase;

generating a correction task corresponding to the load task, wherein the motor power corresponding to the correction task is smaller than the motor power corresponding to the corresponding load task;

The current laundry mode is corrected according to the correction task corresponding to each of the load tasks.
A washing machine control device, characterized in that it is applied to an intelligent washing machine, wherein a fixed-frequency motor is arranged in the intelligent washing machine, and the device comprises:

an acquisition module for acquiring load detection information, where the load detection information is used to characterize the load of the fixed frequency motor;

a determining module, configured to determine the running state of the fixed-frequency motor according to the load detection information;

The control module is configured to adjust the current washing mode of the intelligent washing machine according to the running state of the fixed-frequency motor, so as to reduce the load of the fixed-frequency motor.
The device according to claim 8, wherein the intelligent washing machine is provided with a thyristor load resistance-capacitance resistor, and the load detection information includes the resistance value of the thyristor load resistance-capacitance resistor.
The device according to claim 9, wherein the operating state of the fixed-frequency motor is an overload state, and the determining module is specifically used for:

Obtain a preset motor state prediction model, the motor state preset model is a neural network model trained to convergence, and the motor state prediction model is used to characterize the resistance value of the thyristor load resistance-capacitance resistance and the fixed value. The mapping relationship between the loads of the frequency motor;

According to the resistance value of the SCR load resistance-capacitance resistance and the motor state prediction model, the current load of the fixed-frequency motor is determined, and the current load indicates that the fixed-frequency motor is in the overload state.
The device according to any one of claims 8-10, wherein the control module is specifically used for:

obtaining first operation information of the intelligent washing machine, where the first operation information is used to represent the current washing mode of the intelligent washing machine and the completed tasks in the current washing mode;

determining second operation information according to the first operation information, where the second operation information is used to represent unfinished tasks in the current washing mode of the intelligent washing machine;

According to the second operation information, the current laundry mode is modified to obtain a modified laundry mode, and the modified laundry mode is used to perform unfinished tasks in the current laundry mode, wherein by running the modified laundry mode The motor load generated by executing the incomplete task in the subsequent laundry mode is smaller than the motor load generated by executing the incomplete task by running the current laundry mode.
The device according to claim 11, wherein the unfinished task includes at least one work task, and the work task is used to execute a work link in a washing mode of the intelligent washing machine;

When modifying the current laundry mode according to the second operation information, the determining module is specifically used for:

According to the second operation information, each job task in the uncompleted tasks is determined;

determining a load task in each of the work tasks, wherein the load task represents a work task in each of the work tasks that causes the load of the fixed-frequency motor to increase;

generating a correction task corresponding to the load task, wherein the execution duration of the correction task is less than the execution duration of the corresponding load task;

The current laundry mode is corrected according to the correction task corresponding to each of the load tasks.
The apparatus according to claim 12, wherein the load task corresponds to at least two correction tasks, and the execution duration of the load task is the sum of the respective execution durations of the at least two correction tasks.
The device according to claim 11, wherein the unfinished task includes at least one work task, and the work task is used to execute a work link in a washing mode of the intelligent washing machine;

When the control module corrects the current laundry mode according to the second operation information, it is specifically used for:

According to the second operation information, each job task in the uncompleted tasks is determined;

determining a load task in each of the work tasks, wherein the load task represents a work task in each of the work tasks that causes the load of the fixed-frequency motor to increase;

generating a correction task corresponding to the load task, wherein the motor power corresponding to the correction task is smaller than the motor power corresponding to the corresponding load task;

The current laundry mode is corrected according to the correction task corresponding to each of the load tasks.
An electronic device, comprising: a memory, a processor and a computer program;

Wherein, the computer program is stored in the memory and configured to be executed by the processor to implement the washing machine control method as claimed in any one of claims 1 to 7.
A computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, are used to implement any one of claims 1 to 7. washing machine control method.
A computer program product, characterized in that it includes program code, and when a computer runs the computer program product, the program code executes the washing machine control method according to any one of claims 1 to 7.
A chip, characterized in that it includes a processor, and the processor is configured to call and run a computer program stored in a memory to execute the washing machine control method according to any one of claims 1 to 7.