Washing machine and control method, device, equipment, storage medium and program product thereof

Abstract

The present application provides a washing machine and its control method, device, equipment, storage medium and program product, which determines the user identity information according to the detection signal of the sensor, then determines the control instruction of the preset lock mode according to the user type, and then controls the working state of the preset lock mode according to the control instruction. It solves the technical problem in the prior art that the user needs to manually set and release the child lock, which causes trouble for the user to operate, or even mistakenly set the child lock without knowing or knowing that there is a child lock function, affecting the user's use experience, and adds correction parameters during identity recognition, achieving the technical effect of improving the accuracy of identity recognition, and improving the user's intelligent experience of using the washing machine.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent electrical appliances, and in particular to a washing machine control method, device, washing machine, storage medium and program product. Background Art

[0002] Washing machines have become a common household appliance in people's daily family life. However, while washing machines provide convenience for people's laundry activities, they also bring safety hazards, especially for children who are not sensible. Driven by curiosity, children will randomly press the operating panel of the washing machine, making the washing machine unable to work normally, or even causing harm to the children.

[0003] The current solution to the above problem is to set a child lock on the washing machine, and the adult user manually opens the child lock to prevent children from randomly pressing the washing machine operation panel, causing the washing machine to work abnormally and leading to safety accidents.

[0004] However, adult users often forget to set the child lock, or they need to unlock the child lock again when they want to operate the washing machine after setting the child lock, which is very troublesome. In addition, some users mistakenly set the child lock without noticing, and mistakenly believe that the washing machine controller is damaged and cannot wash clothes, resulting in a poor user experience. Summary of the invention

[0005] The present application provides a washing machine and a control method, device, equipment, storage medium and program product thereof, so as to solve the technical problem in the prior art that the user needs to manually set and release the child lock, which causes trouble for the user's operation, or even mistakenly sets the child lock without knowing or being aware of the child lock function, thus affecting the user's experience.

[0006] In a first aspect, the present application provides a washing machine control method, comprising:

[0007] Determine user identity information according to the detection signal of the sensor, where the user identity information is used to determine the user type;

[0008] Determine a control instruction for a preset locking mode according to the user type, the control instruction including an opening instruction and a closing instruction;

[0009] The working state of the preset locking mode is controlled according to the control instruction.

[0010] In a possible design, determining the user identity information according to the detection signal of the sensor includes:

[0011] judging whether the placement state of the washing machine meets a preset state according to the detection signal;

[0012] If not, determining the correction parameter according to the detection signal;

[0013] The identity recognition model is used to determine the user identity information based on the detection signal and the correction parameters.

[0014] In a possible design, the preset state includes a horizontal state, and judging whether the placement state of the washing machine satisfies the preset state according to the detection signal includes:

[0015] Comparing the first position with the preset identification position according to the detection signal to determine a comparison result, the first position being the position where the user is detected for the first time;

[0016] If the comparison result is that the first position is greater than the preset identification position, it is determined that the placement state of the washing machine is a top-down state, and in the top-down state, there is a downward angle a between the detection signal and the horizontal direction;

[0017] Correspondingly, the correction parameters are determined according to the detection signal, including:

[0018] A first correction parameter in the vertical direction is determined according to the angle a, and the correction parameters include the first correction parameter.

[0019] In a possible design, after comparing the first position with the preset identification position according to the detection signal and determining the comparison result, the method further includes:

[0020] If the comparison result shows that the first position is smaller than the preset identification position, it is determined that the placement state of the washing machine is an upward-looking state, and in the upward-looking state, there is an upward angle b between the detection signal and the horizontal direction;

[0021] Correspondingly, the correction parameters are determined according to the detection signal, including:

[0022] A second correction parameter in the vertical direction is determined according to the angle b, and the correction parameters include the second correction parameter.

[0023] Optionally, using an identity recognition model, according to the detection signal and the correction parameter, the user identity information is determined, including:

[0024] Determine the measurement position V and the angle A between the line connecting the top of the user's head and the sensor installation position and the horizontal direction according to the detection signal;

[0025] Determine the first height of the user according to the measurement position V, the angle A, and the installation height h of the sensor;

[0026] The user is determined to be a legitimate user or an illegitimate user according to the first height and the correction parameter.

[0027] In a possible design, determining whether a user is a legitimate user or an illegitimate user according to the first height and the correction parameter includes:

[0028] Determine a second height according to the first height and the correction parameter;

[0029] If the second height is greater than the preset height, the user is determined to be a legitimate user;

[0030] If the second height is less than or equal to the preset height, the user is determined to be an illegal user.

[0031] Optionally, the preset state includes that the vertical height meets the preset height, and judging whether the placement state of the washing machine meets the preset state according to the detection signal includes:

[0032] determining a first height between the sensor and the ground according to the detection signal;

[0033] If the difference between the first height and the preset height value is greater than the preset range, the placement state does not meet the preset state;

[0034] Correspondingly, determining the correction parameter according to the detection signal includes:

[0035] A height threshold correction parameter is determined according to the first height and the preset height, and the correction parameter includes the height threshold correction parameter.

[0036] In a possible design, the installation height of the sensor is the vertical distance from the base of the washing machine to the sensor position, and the installation height is equal to the identity recognition height threshold. The washing machine includes an adjustment device, and the adjustment device is used to adjust the pitch angle of the sensor. The identity recognition model is used to determine the user identity information according to the detection signal and the correction parameter, including:

[0037] Determine the pitch angle of the sensor according to the height threshold correction parameter and the preset detection position;

[0038] The control adjustment device adjusts the detection direction of the sensor according to the pitch angle;

[0039] If the user is detected according to the detection signal, the user is determined to be a legitimate user;

[0040] If it is determined according to the detection signal that the user is not detected, then the user is determined to be an illegal user.

[0041] Optionally, the sensor includes a radar, and determining the user identity information according to a detection signal of the sensor includes:

[0042] The user identity information is determined based on the electromagnetic wave intensity corresponding to the detection signal and a preset intensity threshold.

[0043] Optionally, determining the user identity information according to the detection signal of the sensor includes:

[0044] The user identity information is determined according to the feedback area corresponding to the detection signal and the feedback area threshold.

[0045] In a second aspect, the present application provides a washing machine control device, comprising:

[0046] An acquisition module, including a sensor, for acquiring a detection signal;

[0047] A processing module, used to determine user identity information according to the detection signal, where the user identity information includes: a legitimate user and an illegitimate user;

[0048] The processing module is further used to determine a control instruction for a preset locking mode according to the user identity information, wherein the control instruction includes an opening instruction and a closing instruction;

[0049] The control module is used to control the working state of the preset locking mode according to the control instruction.

[0050] In one possible design, a processing module, used to determine user identity information according to a detection signal, includes:

[0051] A processing module, used for determining whether the placement state of the washing machine meets a preset state according to the detection signal;

[0052] If not, the processing module is further used to determine the correction parameter according to the detection signal;

[0053] The processing module is also used to determine the user identity information according to the detection signal and the correction parameter by using the identity recognition model.

[0054] In a possible design, the preset state includes a horizontal state, and the processing module is used to determine whether the placement state of the washing machine meets the preset state according to the detection signal, including:

[0055] A processing module, used for comparing the first position with a preset identification position according to the detection signal to determine a comparison result, wherein the first position is a position where the user is detected for the first time;

[0056] The processing module is further used to determine that the placement state of the washing machine is a top-down state if the comparison result shows that the first position is greater than the preset identification position, and in the top-down state, there is a downward angle a between the detection signal and the horizontal direction;

[0057] Correspondingly, the processing module is further used to determine the correction parameter according to the detection signal, including:

[0058] The processing module is further used to determine a first correction parameter in the vertical direction according to the angle a, and the correction parameter includes a first correction parameter.

[0059] In a possible design, after the processing module is used to compare the first position with the preset identification position according to the detection signal and determine the comparison result, it also includes:

[0060] The processing module is further used to determine that the placement state of the washing machine is an upward-looking state if the comparison result shows that the first position is smaller than the preset identification position, and in the upward-looking state, there is an upward angle b between the detection signal and the horizontal direction;

[0061] Correspondingly, the processing module is further used to determine the correction parameter according to the detection signal, including:

[0062] The processing module is further used to determine a second correction parameter in the vertical direction according to the angle b, and the correction parameter includes the second correction parameter.

[0063] Optionally, the processing module is further used to determine the user identity information according to the detection signal and the correction parameter using the identity recognition model, including:

[0064] The processing module is further used to determine the measurement position V and the angle A between the line connecting the top of the user's head and the sensor installation position and the horizontal direction according to the detection signal;

[0065] The processing module is further used to determine the first height of the user according to the measurement position V, the angle A and the installation height h of the sensor;

[0066] The processing module is further used to determine whether the user is a legal user or an illegal user according to the first height and the correction parameter.

[0067] In a possible design, the processing module is further used to determine whether the user is a legitimate user or an illegitimate user according to the first height and the correction parameter, including:

[0068] The processing module is further used to determine the second height according to the first height and the correction parameter;

[0069] The processing module is further used to determine that the user is a legitimate user if the second height is greater than the preset height;

[0070] The processing module is further configured to determine that the user is an illegal user if the second height is less than or equal to the preset height.

[0071] Optionally, the preset state includes that the vertical height meets the preset height, and the processing module is further used to determine whether the placement state of the washing machine meets the preset state according to the detection signal, including:

[0072] The processing module is further used to determine a first height between the sensor and the ground according to the detection signal;

[0073] The processing module is further configured to determine that the placement state does not satisfy the preset state if the difference between the first height and the preset height value is greater than a preset range;

[0074] Correspondingly, the processing module is further configured to determine the correction parameter according to the detection signal, including:

[0075] The processing module is further used to determine a height threshold correction parameter according to the first height and a preset height, wherein the correction parameter includes a threshold correction parameter.

[0076] In a possible design, the installation height of the sensor is the vertical distance from the base of the washing machine to the sensor position, and the installation height is equal to the identity recognition height threshold. The washing machine includes an adjustment device, and the adjustment device is used to adjust the pitch angle of the sensor. The processing module is also used to use the identity recognition model to determine the user identity information according to the detection signal and the correction parameter, including:

[0077] The processing module is further used to determine the pitch angle of the sensor according to the height threshold correction parameter and the preset detection position;

[0078] The processing module is also used to control the adjustment device to adjust the detection direction of the sensor according to the pitch angle;

[0079] The processing module is further used to determine that the user is a legitimate user if it is determined that the user is detected according to the detection signal;

[0080] The processing module is further configured to determine that the user is an illegal user if it is determined according to the detection signal that no user is detected.

[0081] Optionally, the sensor includes a radar, and the processing module is further used to determine the user identity information according to the detection signal, including:

[0082] The processing module is also used to determine the user identity information according to the electromagnetic wave intensity corresponding to the detection signal and a preset intensity threshold.

[0083] Optionally, the processing module is further used to determine the user identity information according to the detection signal, including:

[0084] The processing module is further used to determine the user identity information according to the feedback area corresponding to the detection signal and the feedback area threshold.

[0085] In a third aspect, the present application provides an electronic device, including:

[0086] processor; and,

[0087] A memory, configured to store executable instructions of the processor;

[0088] Wherein, the processor is configured to execute any possible washing machine control method provided in the first aspect by executing the executable instructions.

[0089] In a fourth aspect, the present application provides a washing machine, comprising the electronic device described in the third aspect.

[0090] In a fifth aspect, the present application further provides a storage medium, wherein the readable storage medium stores a computer program, and the computer program is used to execute any possible washing machine control method provided in the first aspect.

[0091] In a sixth aspect, the present application also provides a computer program product, including a computer program, which, when executed by a processor, implements any possible washing machine control method provided in the first aspect.

[0092] The present application provides a washing machine and its control method, device, equipment, storage medium and program product, which determines the user identity information according to the detection signal of the sensor, then determines the control instruction of the preset lock mode according to the user type, and then controls the working state of the preset lock mode according to the control instruction. It solves the technical problem in the prior art that the user needs to manually set and release the child lock, which causes trouble for the user to operate, or even mistakenly set the child lock without knowing or knowing that there is a child lock function, affecting the user's use experience, and adds correction parameters during identity recognition, achieving the technical effect of improving the accuracy of identity recognition, and improving the user's intelligent experience of using the washing machine. BRIEF DESCRIPTION OF THE DRAWINGS

[0093] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0094] Figure 1 A schematic diagram of an application scenario of a washing machine control method provided in this application;

[0095] Figure 2 A schematic flow chart of a washing machine control method provided in an embodiment of the present application;

[0096] Figure 3 A schematic diagram of the principle of an identity recognition model provided in an embodiment of the present application;

[0097] Figure 4 A schematic diagram of another identity recognition model provided in an embodiment of the present application;

[0098] Figure 5a-5b A schematic diagram of the principle of another identity recognition model provided in an embodiment of the present application;

[0099] Figure 6 A schematic flow chart of another washing machine control method provided in an embodiment of the present application;

[0100] Figure 7A schematic diagram of the principle of performing correction in a top-down state of a washing machine provided in an embodiment of the present application;

[0101] Figure 8 A schematic diagram of the principle of performing corrections when the washing machine is viewed from above provided in an embodiment of the present application;

[0102] Fig. 9 A flowchart of another washing machine control method provided in an embodiment of the present application;

[0103] Fig.10 A schematic diagram of the structure of a washing machine control device provided in this application;

[0104] Fig.11 A schematic diagram of the structure of an electronic device provided in this application. DETAILED DESCRIPTION

[0105] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work, including but not limited to the combination of multiple embodiments, belong to the scope of protection of this application.

[0106] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0107] Washing machines have long become a common household appliance in families. However, when designing existing washing machines, it is usually not considered that minors in the family will perform some unconventional operations on the control panel or operating buttons of the washing machine due to curiosity, such as opening the cover when the washing machine is washing or drying, or suddenly clicking the main switch to turn off the program when the washing machine is washing, drying or drying, causing the washing machine to stop in an emergency, damaging the motor in the washing machine or causing impact on the washing machine controller, thereby causing irreversible damage. What's more, after the controller is damaged or the control program logic is wrong, some of the originally set safety protection programs fail. For example, when the washing machine is working, opening the cover of the washing machine will cause the washing machine to stop in an emergency, but when a child presses the panel randomly, the program fails, which may cause the washing tub of the washing machine to rotate, but the emergency stop is not triggered after the cover is opened, and the child reaches into the rotating washing tub and causes safety problems.

[0108] The prior art solves the above problem by setting a child lock. When an adult thinks that a child may operate the washing machine at random, he will click the child lock button of the washing machine to turn on the lock mode, which makes other buttons on the washing machine inoperable and unable to operate the washing machine. The control panel or control button will not resume the function of inputting operation instructions until the user unlocks it according to the preset unlocking process. However, this method requires adult users to turn on / off the child lock by themselves. If the user wants to operate the washing machine again after turning on the child lock, for example, during the washing process, the wallet is found to be left in the pocket of the clothes and the user wants to pause the washing to take out the wallet. At this time, the user needs to unlock it according to the preset unlocking process first, and this unlocking method is bound to be not very simple, because the simple unlocking process is easy to be cracked by children, thereby losing the function of the child lock. This also causes the user to be unable to pause the washing program in time, resulting in the inability to take out the wallet in time, thereby causing the important bills in the wallet to be damaged, which will seriously affect the user experience.

[0109] In addition, the existing technology uses a manual method to open or close the child lock, which undoubtedly increases the learning cost for users who are not familiar with this function, such as the elderly or new users who are using this function for the first time, that is, they need to invest time to learn how to use it. For the elderly, they may also forget the unlocking process, causing the washing machine to not be used normally, resulting in a very poor user experience.

[0110] In addition, the inventor of the present application has found in his long-term work and life that when the controller is locked in a preset lock mode such as a child lock due to some reasons such as circuit board damage or aging, moisture and water ingress, etc., the user does not give an order to turn on the child lock function, but finds that the washing machine cannot input any operation. At this time, the user can only contact after-sales service for maintenance, which also greatly affects the user experience.

[0111] In response to the above problems, the inventive concept of the present application is as follows: by setting a sensor for user identification on the washing machine, when the sensor detects that someone is approaching, the user is identified through a preset identification model. If the approaching person is identified as an illegal user, such as a child, the preset lock mode, such as the child lock, is automatically turned on. For application scenarios in laundries, if a non-laundry operator is identified approaching, a preset lock mode, such as a laundry cover lock mode, is also turned on to prevent theft or other safety hazards. When the sensor detects that the illegal user has left the preset range, the preset safety mode is automatically unlocked. Or the safety mode is automatically unlocked after a legal user is detected approaching.

[0112] The washing machine control method provided by the present application is described in detail below with reference to the accompanying drawings.

[0113] Figure 1 A schematic diagram of an application scenario of a washing machine control method provided in this application. Figure 1 As shown, a sensor 101 is installed on the washing machine 100, and the sensor 101 is installed in the front direction of the washing machine. The specific implementation of the sensor 101 includes: radar, infrared camera, infrared thermal imager, laser rangefinder, etc. In addition, there can be multiple sensors 101 on the washing machine 100, each sensor 101 detects different directions respectively, and there can be multiple different types of sensors on the washing machine 100 at the same time, such as radar and infrared thermal imager. After the user 11 enters the detection range 12 of the sensor 101, the controller of the washing machine 100 uses a preset behavior detection model to predict whether the user's direction of action is approaching the washing machine according to the sensor's detection signal such as radar reflection wave. If so, the user's identity is started to be legally identified, that is, whether the user is a legal user such as an adult. If the approaching user is identified as a legal user, the preset lock mode is not turned on or the preset lock mode is unlocked. If the approaching user is identified as an illegal user, the preset lock is turned on, and the preset lock mode is automatically unlocked until the illegal user leaves.

[0114] The following describes in detail how to identify the user's identity.

[0115] Figure 2 Schematic diagram of a washing machine control method provided in an embodiment of the present application. Figure 2 As shown, the specific steps of the washing machine control method include:

[0116] S201. Determine user identity information according to a detection signal of a sensor.

[0117] In this step, the user identity information is used to determine the user type, which includes: legal users and illegal users.

[0118] In one possible design, the sensor includes a radar, which is mounted on the front of the washing machine. The radar emits electromagnetic waves to a preset detection range. Figure 3 to explain.

[0119] Figure 3 The following is a schematic diagram of the principle of an identity recognition model provided in an embodiment of the present application. Figure 3 As shown, a sensor, i.e., a radar 301, is installed on the front of the washing machine 300, and the vertical distance between the radar 301 and the ground is the installation height h. The radar 301 detects the distance between the position where the user 302 is located and the radar 301, i.e., the detection position V, and the angle A between the line connecting the top of the user 302's head and the installation position of the sensor, i.e., the radar 301, and the horizontal direction. Then the user's first height H can be expressed by formula (1), which is as follows:

[0120] H=V·tan A+h (1)

[0121] Wherein, h is a preset installation height, and V and A are detected by the detection signal of the radar 301, that is, the reflected electromagnetic waves received by the radar.

[0122] The washing machine controller is Figure 3 After the identity recognition model calculates the user's first height H, by comparing the first height H with the preset identity recognition threshold, if the first height H is greater than the preset height, the user 302 is determined to be a legitimate user, and if the first height H is less than or equal to the preset height, the user 302 is determined to be an illegitimate user. For example, 1.3 meters is the preset height for determining a child, and a user taller than 1.3 meters is determined to be a legitimate user, otherwise an illegitimate user, i.e., a child.

[0123] Figure 4 A schematic diagram of another identity recognition model provided in an embodiment of the present application. Figure 4 As shown, user 3021 represents an adult, i.e., a legal user, and user 3022 represents a child, i.e., an illegal user. The installation height h of the sensor, i.e., radar 301, is equal to the preset height. Figure 4 In the identity recognition model, as long as the radar 301 receives the reflected electromagnetic wave in the horizontal direction, it proves that the user is a legitimate user, because children, that is, illegal users, cannot reflect the electromagnetic wave.

[0124] Figure 5a-5b The following is a schematic diagram of another identity recognition model provided in the embodiment of the present application. Figure 5aAs shown, when the sensor includes a radar, user 3021 represents an adult, i.e., a legal user, who is taller, and the area of ​​the electromagnetic wave that can be reflected is larger, so that the intensity of the electromagnetic wave received by the radar is greater, or the energy value is higher. Conversely, user 3022 represents a child, i.e., an illegal user, who is shorter, and the area of ​​the electromagnetic wave that can be reflected is smaller, so that the intensity of the electromagnetic wave received by the radar is smaller, or the energy value is smaller. Then, an energy value threshold or intensity threshold can be set. When the intensity or energy value of the reflected electromagnetic wave is greater than the energy value threshold or intensity threshold, it is a legal user, otherwise it is an illegal user.

[0125] Similarly, if Figure 5b As shown, when the sensor includes an infrared thermal imager, the thermal imaging area of ​​user 3021 representing an adult, i.e., a legitimate user, is larger, and the thermal imaging area of ​​user 3022 representing a child, i.e., an illegitimate user, is smaller. Identity recognition can be performed by setting a thermal imaging area threshold, that is, when the thermal imaging area is greater than the thermal imaging area threshold, the user is a legitimate user, otherwise it is an illegitimate user.

[0126] Optionally, in order to avoid inaccurate identification caused by the difference between the environment where the washing machine is placed and the designed standard environment, this step also includes:

[0127] judging whether the placement state of the washing machine meets a preset state according to the detection signal;

[0128] If not, determining the correction parameter according to the detection signal;

[0129] The identity recognition model is used to determine the user identity information based on the detection signal and the correction parameters.

[0130] For example, Figure 3 and Figure 4 The identification model requires the installation height h and the horizontal direction. However, when the washing machine is not placed in the preset state, that is, it is not placed horizontally or the washing machine support is placed on a raised shelf or a shelf with pulleys, the actual installation height of the sensor will increase. When the washing machine support is damaged, the actual installation height of the sensor will decrease. At this time, a detection signal is needed to detect whether the washing machine is placed horizontally. For example, a horizontal sensor can be set to detect whether it is horizontal, and / or a vertical distance sensor can be used to detect the actual installation height, so as to obtain correction parameters, and the correction parameters are added to Figure 3 or Figure 4 In the identity recognition model, dynamic correction of the identity recognition model is realized.

[0131] S202: Determine a control instruction for a preset locking mode according to the user type.

[0132] In this step, the control instruction includes an opening instruction and a closing instruction. A legitimate user corresponds to a closing instruction of a preset locking mode, and an illegal user corresponds to an opening instruction of a preset locking mode.

[0133] Optionally, the control instruction also includes an alarm instruction, and the alarm instruction is used to make the washing machine emit a warning sound, such as a buzzer sound or a voice broadcast: "Danger! Please don't come near me!".

[0134] S203: Control the working state of the preset locking mode according to the control instruction.

[0135] In this step, the controller or the execution device controls the opening / closing of the preset locking mode and / or sends an alarm message through a control instruction.

[0136] The washing machine control method provided in this embodiment determines the user identity information according to the detection signal of the sensor, then determines the control instruction of the preset lock mode according to the user type, and then controls the working state of the preset lock mode according to the control instruction. The technical problem that the user needs to manually set and release the child lock in the prior art, causing trouble for the user to operate, or even mistakenly set the child lock without knowing or knowing that there is a child lock function, affecting the user's use experience, and the correction parameters are added during identity recognition, achieving the technical effect of improving the accuracy of identity recognition, and improving the user's intelligent experience of using the washing machine.

[0137] Figure 6 FIG. 1 is a flow chart of another washing machine control method provided in an embodiment of the present application. Figure 6 As shown, the specific steps of the washing machine control method include:

[0138] S601 : Determine a comparison result by comparing a first position with a preset identification position according to a detection signal.

[0139] In this step, the detection signal is used to determine whether the placement state of the washing machine meets the requirements of the preset state, and the first position is the position where the user is first detected. If the first position is greater than the preset identification position, step S602 is executed, otherwise step S604 is executed.

[0140] It should be noted that, in this embodiment, the preset state includes: a horizontal state.

[0141] S602: If the comparison result is that the first position is greater than the preset identification position, it is determined that the placement state of the washing machine is a top-down state.

[0142] In this step, when the washing machine is in a top-down state, the detection signal forms a downward angle a with the horizontal direction.

[0143] S603: Determine a first correction parameter in the vertical direction according to the angle a.

[0144] Specifically, in steps S602-S603, the first correction parameter can be obtained according to the geometric model, such as Figure 7 shown.

[0145] Figure 7 The schematic diagram of the principle of performing correction in a top-down state of a washing machine provided in an embodiment of the present application. Figure 7 As shown, when the washing machine is in a horizontal state, the distance of the first position is V0, and when the washing machine is in a top-down state, the distance of the first position is V, then the angle a can be expressed by formula (2), which is as follows:

[0146]

[0147] Then the first correction parameter V·sina can be obtained.

[0148] S604: If the comparison result is that the first position is smaller than the preset identification position, it is determined that the placement state of the washing machine is an upward-looking state.

[0149] In this embodiment, in the upward-looking state, there is an upward angle b between the detection signal and the horizontal direction.

[0150] S605: Determine a second correction parameter in the vertical direction according to the angle b.

[0151] Similarly, in steps S604-S605, the second correction parameter can be obtained according to the geometric model, such as Figure 8 shown.

[0152] Figure 8 The schematic diagram of the principle of performing correction in the upward state of the washing machine provided in the embodiment of the present application. Figure 8 As shown, when the washing machine is in a horizontal state, the distance of the first position is V0, and when the washing machine is in a top-down state, the distance of the first position is V, then the angle b can be expressed by formula (3), which is as follows:

[0153]

[0154] Then the second correction parameter V·sinb can be obtained.

[0155] S606: Determine the user identity information using the identity recognition model according to the detection signal and the correction parameter.

[0156] In this step, the correction parameters include a first correction parameter and a second correction parameter.

[0157] In this embodiment, the step specifically includes:

[0158] S6061, determining the measurement position V and the angle A between the line connecting the top of the user's head and the sensor installation position and the horizontal direction according to the detection signal;

[0159] S6062, determining a first height of the user according to the measurement position V, the angle A, and the installation height h of the sensor;

[0160] The specific implementation of steps S6061-S6062 is shown in Figure 3. The first height can be expressed by formula (1).

[0161] S6063: Determine whether the user is a legitimate user or an illegitimate user according to the first height and the correction parameter.

[0162] In this embodiment, when the washing machine is in a top-view state, the correction parameter is a first correction parameter, and when the washing machine is in an top-view state, the correction parameter is a second correction parameter.

[0163] In this step, the second height is determined based on the first height and the correction parameter; if the second height is greater than the preset height, the user is determined to be a legitimate user; if the second height is less than or equal to the preset height, the user is determined to be an illegitimate user.

[0164] Specifically, when the washing machine is in a top-down state, the second body height H2 can be expressed by formula (4), which is as follows:

[0165] H2=V·tan A+hV·sin a (4)

[0166] When the washing machine is in an upward-looking state, the second height can be expressed by formula (5), which is as follows:

[0167] H2=V·tan A+h+V·sinb (5)

[0168] S607: Determine a control instruction for a preset locking mode according to the user type.

[0169] S608: Control the working state of the preset locking mode according to the control instruction.

[0170] The specific implementation principles and terminology of steps S607-S608 refer to S202-S203 and will not be repeated here.

[0171] The washing machine control method provided in this embodiment determines the user identity information according to the detection signal of the sensor, then determines the control instruction of the preset lock mode according to the user type, and then controls the working state of the preset lock mode according to the control instruction. The technical problem that the user needs to manually set and release the child lock in the prior art, causing trouble for the user to operate, or even mistakenly set the child lock without knowing or knowing that there is a child lock function, affecting the user's use experience, and the correction parameters are added during identity recognition, achieving the technical effect of improving the accuracy of identity recognition, and improving the user's intelligent experience of using the washing machine.

[0172] Fig. 9 A flowchart of another washing machine control method provided in an embodiment of the present application is shown below. Fig. 9 As shown, the specific steps of the washing machine control method include:

[0173] S901. Determine a first height between a sensor and the ground according to a detection signal.

[0174] In this step, the detection signal includes a detection signal in the vertical direction. In a possible implementation, a distance sensor for measuring the vertical installation height, such as a radar or a laser rangefinder, can be provided on the washing machine to detect the distance between the sensor for identification on the washing machine and the ground, i.e., the first height.

[0175] S902: If the difference between the first height and the preset height value is greater than a preset range, the placement state of the washing machine does not meet the preset state.

[0176] In this step, the preset height value is the vertical distance between the sensor and the ground when the washing machine support directly contacts the horizontal ground under the standard state. The preset range can set an error tolerance range, such as -1 cm to 1 cm.

[0177] For ease of explanation, in this embodiment, the user number range is set to 0, that is, when there is a difference between the first height and the preset height value, it can be determined that the washing machine is not placed directly on the ground or the original support of the washing machine is worn or damaged.

[0178] S903. Determine correction parameters according to the detection signal, where the correction parameters include a height threshold correction parameter.

[0179] In this step, the height threshold correction parameter is determined according to the first height and the preset height. Optionally, the height threshold correction parameter is as shown in formula (6):

[0180] Δh=H1-H0+d (6)

[0181] Wherein, Δh is a height threshold correction parameter, H1 is a first height, H0 is a preset height, and d is an absolute value of a preset range. For example, if the preset range is [-1, 1], then d=1.

[0182] It should be noted that formula (6) is only one method of calculating the height threshold correction parameter. Those skilled in the art may select other calculation methods according to actual needs, which are all within the scope of the present application. The present application does not limit the specific calculation of the height threshold correction parameter.

[0183] S904: Determine the pitch angle of the sensor according to the height threshold correction parameter and the preset detection position.

[0184] In this step, when the actual installation height of the washing machine is greater than the preset height, the height threshold correction parameter Δh is as follows: Figure 7 As shown, the depression angle a can be expressed by formula (7):

[0185]

[0186] Among them, the preset detection position is V0.

[0187] When the actual installation height of the washing machine is less than the preset height, the height threshold correction parameter Δh is as follows: Figure 8 As shown, the elevation angle b can be expressed by formula (8):

[0188]

[0189] S905. Control the adjustment device to adjust the detection direction of the sensor according to the pitch angle.

[0190] In this embodiment, the installation height of the sensor is the vertical distance from the base of the washing machine to the sensor position, and the installation height is equal to the identity recognition height threshold. The washing machine includes an adjustment device, and the adjustment device is used to adjust the pitch angle of the sensor.

[0191] In this step, when the washing machine is raised, the adjusting device adjusts the detection direction to a depression angle a; when the washing machine support is worn or damaged, causing the height of the washing machine to drop, the adjusting device adjusts the detection direction to an elevation angle b.

[0192] S906: If the user is detected according to the detection signal, the user is determined to be a legitimate user.

[0193] In this step, the sensor sends a straight line detection signal along the detection direction. When a user is tall enough to touch the detection signal, it is proved that the user is a legitimate user, that is, an adult.

[0194] S907: If it is determined according to the detection signal that the user is not detected, the user is determined to be an illegal user.

[0195] In this step, if the user is not tall enough to trigger the detection signal, the user is an illegal user, that is, a child.

[0196] S908: Determine a control instruction for a preset locking mode according to the user type.

[0197] In this step, the user types include legal users and illegal users, such as adults are legal users and children are illegal users.

[0198] S909: Control the working state of the preset locking mode according to the control instruction.

[0199] The specific implementation principles and terminology of steps S908-S909 refer to S202-S203 and will not be repeated here.

[0200] The washing machine control method provided in this embodiment determines the user identity information according to the detection signal of the sensor, then determines the control instruction of the preset lock mode according to the user type, and then controls the working state of the preset lock mode according to the control instruction. The technical problem that the user needs to manually set and release the child lock in the prior art, causing trouble for the user to operate, or even mistakenly set the child lock without knowing or knowing that there is a child lock function, affecting the user's use experience, and the correction parameters are added during identity recognition, achieving the technical effect of improving the accuracy of identity recognition, and improving the user's intelligent experience of using the washing machine.

[0201] Fig.10 This is a schematic diagram of the structure of a washing machine control device provided in the present application. The washing machine control device can be implemented by software, hardware or a combination of both.

[0202] like Fig.10 As shown, the washing machine control device 1000 provided in this embodiment includes:

[0203] An acquisition module 1001, including a sensor, is used to acquire a detection signal;

[0204] The processing module 1002 is used to determine the user identity information according to the detection signal, where the user identity information includes: a legal user and an illegal user;

[0205] The processing module 1002 is further used to determine a control instruction of a preset locking mode according to the user identity information, wherein the control instruction includes an opening instruction and a closing instruction;

[0206] The control module 1003 is used to control the working state of the preset locking mode according to the control instruction.

[0207] In one possible design, the processing module 1002 is used to determine the user identity information according to the detection signal, including:

[0208] The processing module 1002 is used to determine whether the placement state of the washing machine meets the preset state according to the detection signal;

[0209] If not, the processing module 1002 is further configured to determine a correction parameter according to the detection signal;

[0210] The processing module 1002 is further used to determine the user identity information according to the detection signal and the correction parameter using the identity recognition model.

[0211] In a possible design, the preset state includes a horizontal state, and the processing module 1002 is used to determine whether the placement state of the washing machine meets the preset state according to the detection signal, including:

[0212] The processing module 1002 is used to compare the first position with the preset identification position according to the detection signal to determine a comparison result, where the first position is the position where the user is detected for the first time;

[0213] The processing module 1002 is further configured to determine that the placement state of the washing machine is a top-down state if the comparison result shows that the first position is greater than the preset identification position, and in the top-down state, there is a downward angle a between the detection signal and the horizontal direction;

[0214] Correspondingly, the processing module 1002 is further used to determine the correction parameter according to the detection signal, including:

[0215] The processing module 1002 is further used to determine a first correction parameter in the vertical direction according to the angle a, where the correction parameter includes a first correction parameter.

[0216] In a possible design, after the processing module 1002 is used to compare the first position with the preset identification position according to the detection signal and determine the comparison result, it also includes:

[0217] The processing module 1002 is further configured to determine that the placement state of the washing machine is an upward-looking state if the comparison result shows that the first position is smaller than the preset identification position, and in the upward-looking state, there is an upward angle b between the detection signal and the horizontal direction;

[0218] Correspondingly, the processing module 1002 is further used to determine the correction parameter according to the detection signal, including:

[0219] The processing module 1002 is further used to determine a second correction parameter in the vertical direction according to the angle b, where the correction parameter includes a second correction parameter.

[0220] Optionally, the processing module 1002 is further configured to use the identity recognition model to determine the user identity information according to the detection signal and the correction parameter, including:

[0221] The processing module 1002 is further used to determine the measurement position V and the angle A between the line connecting the top of the user's head and the sensor installation position and the horizontal direction according to the detection signal;

[0222] The processing module 1002 is further used to determine the first height of the user according to the measurement position V, the angle A and the installation height h of the sensor;

[0223] The processing module 1002 is further configured to determine whether the user is a legitimate user or an illegitimate user according to the first height and the correction parameter.

[0224] In a possible design, the processing module 1002 is further configured to determine whether the user is a legitimate user or an illegitimate user according to the first height and the correction parameter, including:

[0225] The processing module 1002 is further used to determine the second height according to the first height and the correction parameter;

[0226] The processing module 1002 is further configured to determine that the user is a legitimate user if the second height is greater than the preset height;

[0227] The processing module 1002 is further configured to determine that the user is an illegal user if the second height is less than or equal to the preset height.

[0228] Optionally, the preset state includes that the vertical height meets the preset height, and the processing module 1002 is further used to determine whether the placement state of the washing machine meets the preset state according to the detection signal, including:

[0229] The processing module 1002 is further used to determine a first height between the sensor and the ground according to the detection signal;

[0230] The processing module 1002 is further configured to determine that the placement state does not satisfy the preset state if the difference between the first height and the preset height value is greater than a preset range;

[0231] Correspondingly, the processing module 1002 is further configured to determine the correction parameter according to the detection signal, including:

[0232] The processing module 1002 is further configured to determine a height threshold correction parameter according to the first height and a preset height, wherein the correction parameter includes a threshold correction parameter.

[0233] In a possible design, the installation height of the sensor is the vertical distance from the base of the washing machine to the sensor position, and the installation height is equal to the identity recognition height threshold. The washing machine includes an adjustment device, and the adjustment device is used to adjust the pitch angle of the sensor. The processing module 1002 is also used to use the identity recognition model to determine the user identity information according to the detection signal and the correction parameter, including:

[0234] The processing module 1002 is further used to determine the pitch angle of the sensor according to the height threshold correction parameter and the preset detection position;

[0235] The processing module 1002 is further used to control the adjustment device to adjust the detection direction of the sensor according to the pitch angle;

[0236] The processing module 1002 is further configured to determine that the user is a legitimate user if the user is detected according to the detection signal;

[0237] The processing module 1002 is further configured to determine that the user is an illegal user if it is determined according to the detection signal that no user is detected.

[0238] Optionally, the sensor includes a radar, and the processing module 1002 is further configured to determine the user identity information according to the detection signal, including:

[0239] The processing module 1002 is further configured to determine the user identity information according to the electromagnetic wave intensity corresponding to the detection signal and a preset intensity threshold.

[0240] Optionally, the processing module 1002 is further configured to determine user identity information according to the detection signal, including:

[0241] The processing module 1002 is further configured to determine the user identity information according to the feedback area corresponding to the detection signal and the feedback area threshold.

[0242] It is worth mentioning that Fig.10 The washing machine control device provided in the illustrated embodiment can execute the method provided in any of the above-mentioned method embodiments. Its specific implementation principles, technical features, professional terminology explanations and technical effects are similar and will not be repeated here.

[0243] Fig.11 This is a schematic diagram of the structure of an electronic device provided in this application. Fig.11 As shown, the electronic device 1100 may include: at least one processor 1101 and a memory 1102 . Fig.11 An electronic device is shown using a processor as an example.

[0244] The memory 1102 is used to store programs. Specifically, the programs may include program codes, and the program codes include computer operation instructions.

[0245] The memory 1102 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0246] The processor 1101 is used to execute the computer-executable instructions stored in the memory 1102 to implement the methods described in the above method embodiments.

[0247] The processor 1101 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0248] Optionally, the memory 1102 may be independent or integrated with the processor 1101. When the memory 1102 is a device independent of the processor 1101, the electronic device 1100 may further include:

[0249] The bus 1103 is used to connect the processor 1101 and the memory 1102. The bus may be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc., but it does not mean that there is only one bus or one type of bus.

[0250] Optionally, in a specific implementation, if the memory 1102 and the processor 1101 are integrated on a chip, the memory 1102 and the processor 1101 can communicate through an internal interface.

[0251] The present application also provides a washing machine, comprising Fig.11 The electronic device or Fig.10 The device and the sensor installed on the front side of the washing machine.

[0252] The present application also provides a computer-readable storage medium, which may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, and other media that can store program codes. Specifically, the computer-readable storage medium stores program instructions, and the program instructions are used for the methods in the above-mentioned embodiments.

[0253] The present application also provides a computer program product, including a computer program, which implements the methods in the above embodiments when executed by a processor.

[0254] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A washing machine control method, characterized in that: include: Determining user identity information according to the detection signal of the sensor, wherein the user identity information is used to determine the user type; If the user identity information is a legitimate user, determining the control instruction of the preset lock mode is to disable the preset lock mode or to unlock the preset lock mode; If the user identity information is an illegal user, determining the control instruction of the preset lock mode is to turn on the preset lock mode; Controlling the working state of the preset locking mode according to the control instruction; Wherein, determining the user identity information according to the detection signal of the sensor includes: Determining whether the placement state of the washing machine meets a preset state according to the detection signal; If not, determining a correction parameter according to the detection signal; The user identity information is determined according to the detection signal and the correction parameter using an identity recognition model.

2. The washing machine control method according to claim 1, characterized in that: The preset state includes a horizontal state, and judging whether the placement state of the washing machine satisfies the preset state according to the detection signal includes: Comparing the first position with the preset identification position according to the detection signal to determine a comparison result, wherein the first position is the position where the user is detected for the first time; If the comparison result is that the first position is greater than the preset identification position, it is determined that the placement state of the washing machine is a top-down state, and in the top-down state, there is a downward angle a between the detection signal and the horizontal direction; Correspondingly, determining the correction parameter according to the detection signal includes: A first correction parameter in the vertical direction is determined according to the angle a, and the correction parameter includes a first correction parameter.

3. The washing machine control method according to claim 2, characterized in that: After comparing the first position with the preset identification position according to the detection signal and determining the comparison result, the method further includes: If the comparison result is that the first position is smaller than the preset identification position, it is determined that the placement state of the washing machine is an upward-looking state, and in the upward-looking state, there is an upward angle b between the detection signal and the horizontal direction; Correspondingly, determining the correction parameter according to the detection signal includes: A second correction parameter in the vertical direction is determined according to the angle b, and the correction parameter includes a second correction parameter.

4. The washing machine control method according to claim 2 or 3, characterized in that: The using the identity recognition model to determine the user identity information according to the detection signal and the correction parameter includes: Determine the measurement position V and the angle A between the line connecting the top of the user's head and the sensor installation position and the horizontal direction according to the detection signal; Determine a first height of the user according to the measurement position V, the angle A, and the installation height h of the sensor; The user is determined to be a legitimate user or an illegitimate user according to the first height and the correction parameter.

5. The washing machine control method according to claim 4, characterized in that: The determining whether the user is a legitimate user or an illegitimate user according to the first height and the correction parameter includes: Determine a second height according to the first height and the correction parameter; If the second height is greater than the preset height, the user is determined to be a legitimate user; If the second height is less than or equal to the preset height, the user is determined to be an illegal user.

6. The washing machine control method according to claim 1, characterized in that: The preset state includes that the vertical height satisfies the preset height, and judging whether the placement state of the washing machine satisfies the preset state according to the detection signal includes: Determine a first height between the sensor and the ground according to the detection signal; If the difference between the first height and the preset height value is greater than a preset range, the placement state does not satisfy the preset state; Correspondingly, determining the correction parameter according to the detection signal includes: A height threshold correction parameter is determined according to the first height and the preset height, and the correction parameter includes a height threshold correction parameter.

7. The washing machine control method according to claim 6, characterized in that: The installation height of the sensor is the vertical distance from the base of the washing machine to the position of the sensor, and the installation height is equal to the identity recognition height threshold. The washing machine includes an adjustment device, and the adjustment device is used to adjust the pitch angle of the sensor. The identity recognition model is used to determine the user identity information according to the detection signal and the correction parameter, including: Determining the pitch angle of the sensor according to the height threshold correction parameter and a preset detection position; Controlling the adjustment device to adjust the detection direction of the sensor according to the pitch angle; If the user is detected according to the detection signal, then the user is determined to be a legitimate user; If it is determined according to the detection signal that the user is not detected, then the user is determined to be an illegal user.

8. The washing machine control method according to claim 1, characterized in that: The sensor includes a radar, and determining the user identity information according to a detection signal of the sensor includes: The user identity information is determined according to the electromagnetic wave intensity corresponding to the detection signal and a preset intensity threshold.

9. The washing machine control method according to claim 1, characterized in that: The determining of the user identity information according to the detection signal of the sensor includes: The user identity information is determined according to a feedback area corresponding to the detection signal and a feedback area threshold.

10. A washing machine control device, characterized in that: include: An acquisition module, including a sensor, for acquiring a detection signal; A processing module, configured to determine user identity information according to the detection signal, wherein the user identity information includes: a legal user and an illegal user; wherein the determining of the user identity information according to the detection signal includes: judging whether the placement state of the washing machine satisfies a preset state according to the detection signal; if not, determining a correction parameter according to the detection signal; and determining the user identity information according to the detection signal and the correction parameter using an identity recognition model; The processing module is further configured to determine, if the user identity information is a legitimate user, that the control instruction of the preset lock mode is to not turn on the preset lock mode or to unlock the preset lock mode; if the user identity information is an illegal user, then determine that the control instruction of the preset lock mode is to turn on the preset lock mode; A control module is used to control the working state of the preset locking mode according to the control instruction.

11. An electronic device, characterized in that: include: processor; as well as, a memory for storing an executable computer program for the processor; Wherein, the processor is configured to perform the washing machine control method according to any one of claims 1 to 9 by executing the executable computer program.

12. A washing machine, characterized in that: An electronic device comprising the invention as claimed in claim 11.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the washing machine control method according to any one of claims 1 to 9 is implemented.

14. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the washing machine control method according to any one of claims 1 to 9 is implemented.

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