Control method, apparatus and device of intelligent device

Abstract

The application belongs to the technical field of household appliances, and particularly relates to a control method, device and equipment of an intelligent device, and aims to solve the problem that the existing washing machine is easily miswoken and has low wake-up accuracy. The control method, device and equipment of the intelligent device of the application obtain the first position and the first motion trend of a moving object through the first motion data of the moving object collected by the intelligent device, control the man-machine interaction component of the intelligent device to switch from a sleep state to a wake-up state when the first position is located in a preset range of the intelligent device and the first motion trend represents that the moving object moves from a preset direction towards the intelligent device, facilitate user operation, reduce the possibility that the man-machine interaction component of the intelligent device is miswoken, and improve the accuracy of wake-up of the man-machine interaction component of the intelligent device.

Description

Technical Field

[0001] This application belongs to the field of home appliance technology, specifically relating to a control method, device, and equipment for a smart device. Background Technology

[0002] Washing machines have replaced manual labor in washing clothes, bringing great convenience to people's lives and becoming an indispensable household appliance. Washing machines usually have a display panel on the front to show various washing data such as water level, program, washing, rinsing, spin-drying, and remaining washing time. The display panel can also be touched and operated by the user.

[0003] To avoid wasting energy by keeping the display panel constantly on, washing machines are usually equipped with a wake-up mode and a sleep mode. When the machine is not used for a period of time, it enters a low-energy sleep mode; when the machine detects that the user is within a certain distance of the washing machine, the display panel lights up and enters the wake-up mode for easy operation.

[0004] However, when a user accidentally walks by the washing machine, it may cause the washing machine's display panel to wake up falsely. For example, if the washing machine is installed in the kitchen, and the user goes to the kitchen to get tableware or food, the washing machine's display panel will be woken up, causing unnecessary energy consumption. Summary of the Invention

[0005] In order to solve the above-mentioned problems in the prior art, namely the problem that existing washing machines are easily woken up by false alarms and have low wake-up accuracy, this application provides a control method, device and equipment for a smart device.

[0006] The first aspect of this application provides a method for controlling a smart device, comprising:

[0007] Acquire the first motion data of the moving object collected by the intelligent device;

[0008] Based on the first motion data, the first position and first motion trend of the moving object are obtained;

[0009] If the first position is within a preset range of the smart device, and the first movement trend indicates that the moving object is moving towards the smart device from a preset direction, then the human-computer interaction component of the smart device is controlled to switch from sleep state to wake-up state.

[0010] In one possible implementation, obtaining the first position and first movement trend of the moving object based on the first motion data includes:

[0011] Based on the first motion data, obtain the contour information of the moving object;

[0012] The identity of the moving object is identified based on the contour information;

[0013] If the identity of the mobile object indicates that the mobile object has the right to use the smart device, then the first position and the first movement trend of the mobile object are obtained based on the first movement data.

[0014] In one possible implementation, obtaining the first motion trend of the moving object based on the first motion data includes:

[0015] Based on the first motion data, the motion trajectory of the moving object is obtained;

[0016] Based on the motion trajectory, determine the first motion trend of the moving object.

[0017] In one possible implementation, determining the first motion trend of the moving object based on the motion trajectory includes:

[0018] Based on the motion trajectory and the preset mapping relationship between the motion trajectory and the motion trend, the first motion trend of the moving object is obtained; the mapping relationship is constructed based on the motion data of the moving object collected historically by the smart device.

[0019] In one possible implementation, obtaining the first motion trend of the moving object based on the first motion data includes:

[0020] Based on the first motion data, the motion posture of the moving object is obtained;

[0021] Based on the motion posture of the moving object, determine the first motion trend of the moving object.

[0022] In one possible implementation, after identifying the identity of the moving object based on the contour information, the method further includes:

[0023] If the identity of the mobile object indicates that the mobile object does not have permission to use the smart device, then the human-computer interaction component of the smart device is controlled to remain in the sleep state.

[0024] In one possible implementation, after obtaining the first position and first motion trend of the moving object based on the first motion data, the method further includes:

[0025] If the first position is not within the preset range of the smart device, or if the first movement trend indicates that the moving object is not moving towards the smart device from the preset direction, then the human-computer interaction component of the smart device is controlled to maintain the sleep state.

[0026] In one possible implementation, after the human-computer interaction component controlling the smart device switches from a sleep state to a wake-up state, the method further includes:

[0027] Acquire the second motion data of the moving object collected by the smart device;

[0028] Based on the second motion data, the second position and second motion trend of the moving object are obtained;

[0029] If the second position is not within the preset range of the smart device, and the second movement trend indicates that the moving object is moving away from the smart device, then the human-computer interaction component of the smart device is controlled to switch from the wake-up state to the sleep state.

[0030] A second aspect of this application provides a control device for a smart device, comprising: an acquisition module, a processing module, and a control module, wherein:

[0031] The acquisition module is used to acquire the first motion data of the moving object collected by the smart device;

[0032] The processing module is used to obtain the first position and first movement trend of the moving object based on the first motion data;

[0033] The control module is configured to control the human-computer interaction component of the smart device to switch from sleep state to wake-up state if the first position is within a preset range of the smart device and the first movement trend indicates that the moving object is moving towards the smart device from a preset direction.

[0034] In one possible implementation, the processing module is specifically used to obtain the contour information of the moving object based on the first motion data;

[0035] The identity of the moving object is identified based on the contour information;

[0036] If the identity of the mobile object indicates that the mobile object has the right to use the smart device, then the first position and the first movement trend of the mobile object are obtained based on the first movement data.

[0037] In one possible implementation, the processing module is specifically used to obtain the motion trajectory of the moving object based on the first motion data;

[0038] Based on the motion trajectory, the first motion trend of the moving object is determined.

[0039] In one possible implementation, the processing module is specifically used to obtain a first motion trend of the moving object based on the motion trajectory and a preset mapping relationship between the motion trajectory and the motion trend; the mapping relationship is constructed based on the motion data of the moving object historically collected by the smart device.

[0040] In one possible implementation, the processing module is specifically used to: obtain the motion posture of the moving object based on the first motion data; and determine the first motion trend of the moving object based on the motion posture of the moving object.

[0041] In one possible implementation, the control module is specifically configured to, if the identity of the mobile object indicates that the mobile object does not have permission to use the smart device, control the human-computer interaction component of the smart device to maintain the sleep state.

[0042] In one possible implementation, the control module is further configured to control the human-computer interaction component of the smart device to maintain the sleep state if the first position is not within a preset range of the smart device or the first motion trend indicates that the moving object is not moving toward the smart device from the preset direction.

[0043] In one possible implementation, the acquisition module is further configured to acquire second motion data of the moving object collected by the smart device; the processing module is specifically configured to acquire a second position and a second motion trend of the moving object based on the second motion data; the control module is further configured to control the human-computer interaction component of the smart device to switch from the wake-up state to the sleep state if the second position is not within a preset range of the smart device and the second motion trend indicates that the moving object is moving away from the smart device.

[0044] A third aspect of this application provides a control device for an intelligent device, comprising: a processor and a memory;

[0045] The memory stores computer-executed instructions;

[0046] The processor executes computer execution instructions stored in the memory, causing the processor to perform the control method of the intelligent device as described in any of the first aspects.

[0047] A fourth aspect of this application provides a computer program product, including a computer program that, when executed by a processor, implements the steps of controlling an intelligent device as described in any of the preceding claims.

[0048] Those skilled in the art will understand that the control method, apparatus, and device of the smart device in the embodiments of this application obtain the first position and first movement trend of the moving object by collecting the first motion data of the moving object. When the first position is within a preset range of the smart device and the first movement trend indicates that the moving object is moving towards the smart device from a preset direction, the human-computer interaction component of the smart device is controlled to switch from a sleep state to a wake-up state, which facilitates user operation, reduces the possibility of the human-computer interaction component of the smart device being accidentally woken up, and improves the accuracy of waking up the human-computer interaction component of the smart device. Attached Figure Description

[0049] Preferred embodiments of the control method, apparatus, and device for intelligent devices according to this application will now be described with reference to the accompanying drawings. The drawings are as follows:

[0050] Figure 1 This is a schematic diagram of an application scenario provided by an embodiment of this application;

[0051] Figure 2 A flowchart illustrating a control method for a smart device provided in an embodiment of this application;

[0052] Figure 3 A flowchart illustrating another control method for a smart device provided in an embodiment of this application;

[0053] Figure 4 This is a schematic diagram of the structure of a control device for a smart device provided in an embodiment of this application;

[0054] Figure 5 This is a schematic diagram of the hardware structure of a smart device provided in an embodiment of this application. Detailed Implementation

[0055] The following description, in conjunction with the accompanying drawings, illustrates exemplary embodiments of this application, including various details to aid understanding. These should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this application. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0056] To avoid wasting resources by keeping the washing machine's display panel constantly lit, washing machines typically have a wake-up mode and a sleep mode. When not in use for a period of time, the washing machine enters a low-energy sleep mode; when a user is detected within a certain distance, the display panel lights up, entering wake-up mode for easy operation. However, if a user inadvertently walks past the washing machine, it can cause the display panel to wake up falsely. Combined with... Figure 1 ,in, Figure 1This is a schematic diagram of an application scenario provided by an embodiment of this application. Taking a washing machine installed on a balcony as an example, when a user passes by the washing machine to water plants or collect laundry, for example, with a movement path of A→B→C→N or A→B→C→M, the washing machine may be accidentally woken up. Similarly, taking a washing machine installed in the bathroom as an example, when a user reaches for a mop, basin, etc., near the side of the washing machine, for example, with a movement path of A→G→I or A→G→J, the washing machine may be accidentally woken up. This not only wastes energy but also results in low accuracy in waking up the washing machine.

[0057] In view of this, embodiments of this application provide a control method for a smart device. The control method obtains the first position and first movement trend of the moving object by collecting the first motion data of the moving object from the smart device. When the first position is within a preset range of the smart device and the first movement trend indicates that the moving object is moving towards the smart device from a preset direction, the human-computer interaction component of the smart device is controlled to switch from a sleep state to a wake-up state, thereby improving the accuracy of waking up the smart device.

[0058] Combination Figure 1 When the movement path is A→B→C→O, the first position of the moving object is position O, which is within the preset range of the washing machine; and the first movement trend indicates that the moving object moves from the front side of the washing machine toward the washing machine, then the display panel of the control washing machine switches from sleep mode to wake-up mode; when the movement path is A→B→P, the first position of the moving object is position P. Although it is within the preset range of the washing machine, it does not move from the front side of the washing machine toward the washing machine, then the display panel of the control washing machine remains in sleep mode and is not woken up.

[0059] The execution subject of the intelligent device control method provided in this application can be an intelligent device or an electronic device capable of controlling the intelligent device, such as a server or terminal device. The following embodiments use an intelligent device as an example to illustrate the intelligent device control method provided in this application.

[0060] Figure 2 This is a flowchart illustrating a control method for a smart device provided in an embodiment of this application. Figure 2 As shown in the embodiments of this application, the control method for a smart device includes:

[0061] S201. Obtain the first motion data of the moving object collected by the smart device.

[0062] In this application, the concept of "smart device" should be interpreted broadly. Smart device can be understood as a washing machine, dryer, or washer-dryer combo. Smart device can also be a household appliance such as a refrigerator, dishwasher, freezer, or air conditioner. Smart device can also be a smart rice cooker, smart induction cooker, etc. Smart device can also be a smart speaker, smart robot, etc., such as a robot vacuum cleaner.

[0063] The smart device in this embodiment of the application is equipped with a data acquisition module, which acquires first motion data of a moving object. Specifically, the data acquisition module transmits a data acquisition signal, the moving object transmits a feedback signal in response to the data acquisition signal, and the data acquisition module receives and processes the feedback signal to obtain the first motion data of the moving object.

[0064] Optionally, the acquisition module can be a Wi-Fi Doppler imaging module, which uses Wi-Fi signals to generate imaging data. It can emit wireless signals and obtain reflected signals from different parts of the moving object, thereby acquiring the object's initial motion data. Alternatively, the acquisition module can also be a radar module, which emits electromagnetic waves and obtains the object's initial motion data by detecting the electromagnetic waves reflected by the moving object. The signals emitted by both of these acquisition modules can penetrate walls, wall panels, etc., to acquire the object's initial motion data.

[0065] Of course, there are also some acquisition modules whose signals cannot penetrate walls, such as infrared sensors, laser sensors, and image sensors, which can still acquire the first motion data of moving objects.

[0066] The first motion data may include the position, speed, direction, trajectory, and posture of the moving object, as well as the frequency and wavelength of the moving object's feedback to the collected signals.

[0067] S202. Based on the first motion data, obtain the first position and first motion trend of the moving object.

[0068] Here, the first position is the position of the moving object relative to the smart device. When the smart device collects the first motion data of the moving object, the position of the smart device is fixed. The smart device determines the distance based on the time interval between transmitting the acquisition signal and receiving the feedback signal, thereby determining the first position of the moving object.

[0069] The first motion trend reflects the moving object's intended direction of movement. Based on the first motion trend, it can be determined whether the moving object is moving towards or away from the smart device.

[0070] The first motion trend of a moving object can be obtained through the following method in the embodiments of this application:

[0071] Step 1: Obtain the motion trajectory of the moving object based on the first motion data. This step can be understood as obtaining the contour and position information of the moving object over a continuous time period using the first motion data, thereby determining the motion trajectory of the moving object.

[0072] In some implementations, the first motion trend of the moving object can be determined by step 2 as follows; in other implementations, the first motion trend of the moving object can also be determined by step 3 as follows.

[0073] Step 2: Determine the first movement trend of the moving object based on the motion trajectory. This step can be understood as determining the first movement trend of the moving object based on motion trajectory analysis. For example, based on the current position of the moving object and the previous position of the moving object, the direction between the two positions is determined, thereby determining the first movement trend of the moving object.

[0074] Step 3: Based on the motion trajectory and the preset mapping relationship between motion trajectory and motion trend, obtain the first motion trend of the moving object. The mapping relationship is constructed based on the motion data of the moving object historically collected by the smart device. The smart device typically does not move after its installation location is determined, and the indoor space is fixed. The moving object has common motion trajectories for waking up the human-computer interaction components of the smart device. Therefore, the smart device constructs a mapping relationship between motion trajectory and motion trend based on the historically collected motion data of the moving object; that is, it determines the wake-up motion trajectory through the historical movement data of the moving object, determines the wake-up motion trend based on the wake-up motion trajectory, and generates a mapping relationship between the motion trajectory and motion trend that can wake up the human-computer interaction components. Based on the moving object's motion trajectory and the preset mapping relationship, the first motion trend of the moving object is determined.

[0075] The first motion trend of a moving object can also be obtained in the following ways according to the embodiments of this application:

[0076] Step 1: Based on the first motion data, obtain the motion posture of the moving object. The motion posture of the moving object may include its face orientation, body posture, arm posture, and leg posture, etc.

[0077] Step 2: Determine the first motion trend of the moving object based on its motion posture. For example, if the face changes from facing forward to facing right, it indicates that the moving object has a first motion trend to the right. Similarly, if the body changes from facing left to facing forward, it indicates that the moving object has a first motion trend to the forward.

[0078] S203. If the first position is within a preset range of the smart device, and the first movement trend indicates that the moving object is moving towards the smart device from a preset direction, then control the human-computer interaction component of the smart device to switch from sleep state to wake-up state.

[0079] Optionally, it can be determined whether the first location is within the preset range of the smart device in the following ways: Determine that the first location has a first distance from the smart mobile device, and determine whether the first distance is within the preset range to determine whether the first location is within the preset range of the smart device. Alternatively, the smart device establishes a planar coordinate system for the indoor space, and the first location has planar coordinates; determine whether the planar coordinates are within the preset range of the smart device to determine whether the first location is within the preset range of the smart device.

[0080] The preset direction refers to the direction from which the smart device can be operated. For example, the front door direction of a washing machine; the front door direction of a refrigerator; or the control panel direction of a dishwasher. In other words, the user can operate the smart device by approaching it in the preset direction.

[0081] The preset orientation of a smart device can be determined as follows: the smart device stores an installation model. Taking a drum washing machine as an example, a drum washing machine typically has a front panel, rear panel, left side panel, right side panel, top panel, and bottom panel. The front panel has a door, and the bottom panel has leveling feet. A drum washing machine has six installation models: left, right, and rear panels all against a wall; left and rear panels all against a wall; right and rear panels all against a wall; only the left panel against a wall; only the right panel against a wall; and only the rear panel against a wall. The front panel faces differently in each installation model, thus determining the preset orientation of the drum washing machine. After the drum washing machine is installed, the user sets the installation model through a terminal or the control panel of the drum washing machine to determine the preset orientation.

[0082] The preset orientation of a smart device can also be determined in the following way: Taking a standing air conditioner as an example, the control panel of a standing air conditioner is usually located on its front side. The standing air conditioner includes a camera that can rotate 360°. After the standing air conditioner is installed, the camera captures images and uses image recognition technology to determine the orientation of the front side of the standing air conditioner, thereby determining the preset orientation of the standing air conditioner.

[0083] Of course, users can also personalize the preset direction through the control panel of the terminal or smart device to reduce the probability of false wake-up.

[0084] The first tendency of motion of a moving object towards a smart device from a preset direction can be the direction of motion, for example... Figure 2In the example, the moving object moves towards the washing machine along direction 'a'; it can also be a body pose, for example... Figure 2 In the process, the moving object moves along the O direction. When it reaches the front door of the washing machine, the moving object has a tendency to turn towards the direction a.

[0085] The human-computer interaction component of a smart device can be a display panel. This panel displays icons indicating the device's power on, operating mode, etc., and shows the device's operating status. Moving objects input operation commands through the icons on the display panel. In sleep mode, the display panel has low brightness or is powered off and does not display icons; in wake mode, the display panel displays icons and movement status for easy user operation.

[0086] The human-computer interaction components include the control panel and indicator lights on it. The control panel has operation buttons, such as power on / off and operating mode selection. In sleep mode, the indicator lights are off; in wake-up mode, they illuminate the operation buttons on the control panel for easy user operation.

[0087] In some refrigerators with windows, the human-computer interaction components may also include the window and the refrigerator's light. The window is turned off in sleep mode, and the food inside the refrigerator cannot be seen through the window, thus maintaining the consistency of the refrigerator's appearance. The light is turned off in sleep mode. In wake-up mode, the window and the light are turned on, and the user can see the food inside the refrigerator through the window.

[0088] Human-computer interaction components can also include voice interaction components, allowing users to interact with smart devices via voice commands. In sleep mode, the voice interaction component does not collect ambient sound signals; in wake-up mode, it begins collecting ambient sound signals and identifies whether the user issues control commands.

[0089] The control method for a smart device provided in this application obtains the first position and first movement trend of a moving object by collecting first motion data of the moving object. When the first position is within a preset range of the smart device and the first movement trend indicates that the moving object is moving towards the smart device from a preset direction, the human-computer interaction component of the smart device is controlled to switch from a sleep state to a wake-up state. This facilitates user operation, reduces the possibility of the human-computer interaction component of the smart device being accidentally woken up, and improves the accuracy of waking up the human-computer interaction component of the smart device.

[0090] The following is combined Figure 3 The control methods for the aforementioned intelligent devices will be explained in detail.

[0091] Figure 3This is a flowchart illustrating another control method for a smart device provided in an embodiment of this application. Please refer to... Figure 3 The method includes:

[0092] S301. Obtain the first motion data of the moving object collected by the smart device.

[0093] It should be noted that the execution process of step S301 can refer to the execution process of S201, and will not be repeated here.

[0094] S302. Obtain the contour information of the moving object based on the first motion data.

[0095] The contour information may include height, arm length, body posture, stride length, etc. Optionally, the contour information of the moving object can be determined using image recognition technology based on the image of the first motion data. Alternatively, the contour information of the moving object can be determined based on the received reflected wave data in the first motion data.

[0096] S303. Identify the identity of the moving object based on the contour information.

[0097] This step can be understood as identifying a moving object using its outline information. For example, smart devices store outline information of various moving objects in a home, such as adults, children, pets, and movable objects like robot vacuums. By comparing the acquired outline information with pre-stored outline information, the identity of the moving object is determined; for example, the outline information might identify the moving object as an adult.

[0098] Of course, the profile information of each adult in the family is different, and the profile information of each person can also be stored. For example, the identities of adults in the family can be divided into young people and elderly people. That is, the smart device stores the profile information of the elderly and the young people. By comparing the obtained profile information with the pre-stored profile information, it can be determined whether it is an adult or an elderly person. This can prevent the elderly from accidentally operating the smart device and causing damage to the device or personal safety issues.

[0099] S304. Determine whether the identity of the mobile object indicates that the mobile object has the right to use the smart device.

[0100] The smart device not only stores the outline information of each identity, but can also pre-store the corresponding usage permissions for each identity. Specifically, the smart device stores an identity, the outline information corresponding to that identity, and the usage permissions for that identity. In S303, the identity of the moving object is determined by comparing the outline information with the pre-stored outline information; then, based on the usage permissions corresponding to the identity, it is determined whether the moving object has the right to use the smart device.

[0101] For example, children, pets, movable objects, and the elderly do not have access rights, while young people do.

[0102] If the identity of the mobile object cannot indicate that the mobile object has the right to use the smart device, that is, if S304 is "No", then execute S305 below; if the identity of the mobile object can indicate that the mobile object has the right to use the smart device, that is, if S304 is "Yes", then execute S306 below.

[0103] S305. Control the human-computer interaction component of the smart device to maintain the sleep state.

[0104] This step can be understood as keeping the human-computer interaction components of the smart device in a sleep state and not waking it up when the identity of the moving object does not have the permission to use the smart device. This can reduce the probability of accidental wake-up and improve the safety of using the smart device, avoiding safety accidents caused by accidental operation by children or others.

[0105] S306. Based on the first motion data, obtain the first position and the first motion trend.

[0106] It should be noted that the execution process of step S306 can refer to the execution process of S202, and will not be repeated here.

[0107] S307. Determine that the first position is within a preset range of the smart device, and the first motion trend indicates that the moving object is moving towards the smart device from a preset direction.

[0108] It should be noted that the execution process of step 307 can refer to the judgment method in S203, and will not be repeated here.

[0109] If the first position is within the preset range of the smart device and the first motion trend indicates that the moving object is moving towards the smart device from the preset direction, i.e., S307 is "yes", then S308 is executed below; if the first position is not within the preset range of the smart device, or the first motion trend indicates that the moving object is not moving towards the smart device from the preset direction, i.e., S307 is "no", then S309 is executed below.

[0110] S308. Control the human-computer interaction component of the smart device to switch from sleep state to wake-up state.

[0111] The human-computer interaction component has a sleep state and a wake-up state. In the sleep state, the human-computer interaction component cannot perform human-computer interaction. In the wake-up state, the human-computer interaction component can perform human-computer interaction, such as inputting control commands and selecting working modes. For details, please refer to the execution process of "controlling the human-computer interaction component of the smart device to switch from the sleep state to the wake-up state" in step 203.

[0112] S309. Control the human-computer interaction component of the smart device to maintain the sleep state.

[0113] This step can be understood as follows: if the first position is not within the preset range of the smart device, or if the first movement trend indicates that the moving object is not moving towards the smart device from the preset direction, it means that the human-computer interaction component of the smart device does not need to be woken up. Therefore, the human-computer interaction component of the smart device is controlled to remain in a sleep state to avoid being accidentally woken up.

[0114] Combination Figure 2 Taking a washing machine as an example, the specific application of the embodiments of this application will be explained. The preset orientation of the washing machine is the front, and its display panel can be operated from the front.

[0115] When the washing machine is installed on the balcony, if the movement trajectory is A→B→P, although the first position is within the preset range of the washing machine and moves towards it, it is not moving towards the washing machine from the preset direction, so the washing machine's display panel is not activated and remains in sleep mode. If the movement trajectory is A→B→C→N, A→B→C→M, A→B→C→D, or A→B→C→K→L, although the object passes the washing machine at position B, it does not have a tendency to move towards the washing machine from the preset direction, so the washing machine's display panel is not activated and remains in sleep mode. If the movement trajectory is A→B→C→O, position O is within the preset range of the washing machine, and the first movement trend 'a' indicates that the moving object is moving from the front of the washing machine towards it, then the washing machine's display panel is activated and can be operated.

[0116] When the washing machine is installed in the bathroom, during the movement trajectories A→G→H and A→G→I, although the moving object is within the preset range of the washing machine, it is not moving towards the washing machine from the preset direction, so the washing machine's display panel is not activated and remains in sleep mode. During the movement trajectory A→G→J, position J is within the preset range of the washing machine, and the first movement trend b indicates that the moving object is moving towards the washing machine from the front, thus activating the washing machine's display panel and enabling operation.

[0117] In some embodiments, a moving object enters the preset range of a smart device along a preset direction and leaves after a very short time without operating the smart device. If the smart device remains awake, it will consume power.

[0118] Therefore, the method provided in this application embodiment further includes, after controlling the human-computer interaction component of the smart device to switch from a sleep state to a wake-up state:

[0119] Step 1: Obtain the second motion data of the moving object collected by the smart device. The execution process of Step 1 is the same as that of Step S201, and will not be repeated here. That is, replacing "first motion data" with "second motion data" in Step S201 is equivalent to executing Step 1.

[0120] Step 2: Based on the second motion data, obtain the second position and second motion trend of the moving object. The execution process of Step 2 is the same as that of Step S202, and will not be repeated here. Specifically, replace "first motion data" with "second motion data," "first position" with "second position," and "first motion trend" with "second motion trend" in Step S202.

[0121] Step 3: If the second position is not within the preset range of the smart device, and the second movement trend indicates that the moving object is moving away from the smart device, then control the human-computer interaction component of the smart device to switch from the wake-up state to the sleep state.

[0122] Step 3 can be understood as follows: when the second position is no longer within the preset range of the smart device and the second motion trend indicates that the moving object is moving away from the smart device, it means that the moving object is moving away from the smart device instead of interacting with the human-computer interaction component of the smart device. In this case, the human-computer interaction component of the smart device is controlled to switch from the wake-up state to the sleep state to reduce energy consumption and avoid misoperation.

[0123] It should be noted that in step 3, the second motion trend can simply indicate that the moving object is moving away from the smart device. It is not necessary for the object to move away from the smart device from a preset direction. Moving away from the smart device from any other direction can also be considered as the moving object moving away from the smart device.

[0124] Figure 4 This is a schematic diagram of the structure of a control device for a smart device according to an embodiment of this application, such as... Figure 4 As shown, the control device 10 for the smart device provided in this application embodiment includes:

[0125] The acquisition module 11 is used to acquire the first motion data of the moving object collected by the smart device;

[0126] Processing module 12 is used to obtain the first position and first movement trend of the moving object based on the first motion data;

[0127] The control module 13 is configured to control the human-computer interaction component of the smart device to switch from a sleep state to a wake-up state if the first position is within a preset range of the smart device and the first movement trend indicates that the moving object is moving toward the smart device from a preset direction.

[0128] In one possible implementation, the processing module 12 is specifically used to obtain the contour information of the moving object based on the first motion data;

[0129] The identity of the moving object is identified based on the contour information;

[0130] If the identity of the moving object indicates that the moving object has the right to use the smart device, then the first position and the first movement trend are obtained based on the first movement data.

[0131] In one possible implementation, the processing module 12 is specifically used to obtain the motion trajectory of the moving object based on the first motion data;

[0132] Based on the motion trajectory, the first motion trend of the moving object is determined.

[0133] In one possible implementation, the processing module 12 is specifically used to obtain the first motion trend of the moving object based on the motion trajectory and a preset mapping relationship between the motion trajectory and the motion trend; the mapping relationship is constructed based on the motion data of the moving object historically collected by the smart device.

[0134] In one possible implementation, the processing module 12 is specifically used to: obtain the motion posture of the moving object based on the first motion data; and determine the first motion trend of the moving object based on the motion posture of the moving object.

[0135] In one possible implementation, the control module 13 is specifically configured to control the human-computer interaction component of the smart device to maintain the sleep state if the identity of the mobile object indicates that the mobile object does not have the right to use the smart device.

[0136] In one possible implementation, the control module 13 is further configured to control the human-computer interaction component of the smart device to maintain the sleep state if the first position is not within a preset range of the smart device or the first motion trend indicates that the moving object is not moving toward the smart device from the preset direction.

[0137] In one possible implementation, the acquisition module 11 is further configured to acquire second motion data of the moving object collected by the smart device; the processing module 12 is specifically configured to acquire a second position and a second motion trend of the moving object based on the second motion data; the control module 13 is further configured to control the human-computer interaction component of the smart device to switch from the wake-up state to the sleep state if the second position is not within a preset range of the smart device and the second motion trend indicates that the moving object is moving away from the smart device.

[0138] The control device 10 for the intelligent device provided in this embodiment can execute the technical solution of the control method for the intelligent device in the above-described method embodiments. Its implementation principle and technical effects are similar, and will not be repeated here. In specific implementation, the control device 10 for the intelligent device can be a control device or a chip in the intelligent device, etc.

[0139] Figure 5 This is a schematic diagram of the hardware structure of the control device for the intelligent device provided in an embodiment of this application. Figure 5 As shown, the electronic device provided in this embodiment includes a memory 22 and at least one processor 21. The processor 21 and the memory 22 can communicate; for example, the processor 21 and the memory 22 communicate via a communication bus 23. The memory 22 is used to store computer programs. The processor 21 is used to implement the control method of the intelligent device in this embodiment when the computer program is executed. The specific implementation principle can be found in the above embodiments, and will not be repeated here.

[0140] Optionally, the air conditioner control device 20 may also include a communication interface, which may include a transmitter and / or a receiver.

[0141] Optionally, the aforementioned processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in the embodiments of this application can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0142] This application provides an embodiment of a smart device, the smart device including as follows: Figure 5 The control device for the smart device shown.

[0143] One embodiment of this application provides a computer-readable storage medium storing execution instructions. When at least one processor 21 of an electronic device executes the execution instructions, the control method of the intelligent device in the above embodiment is implemented.

[0144] This application provides a computer program product, including a computer program that is executed by a processor 21 to implement this application. Figure 2 and Figure 3 The control method for the intelligent device provided in any of the corresponding embodiments.

[0145] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or modules may be electrical, mechanical, or other forms.

[0146] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or in a combination of hardware and software functional modules.

[0147] The integrated modules implemented as software functional modules described above can be stored in a computer-readable storage medium. These software functional modules, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0148] In the embodiments of the control device for the aforementioned intelligent device, it should be understood that the processing module can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The voice recognition module can be a server. The steps of the method disclosed in this application can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0149] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this application can be achieved, and this is not limited herein.

[0150] The technical solutions of this application have been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of this application is obviously not limited to these specific embodiments. Without departing from the principles of this 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 all fall within the scope of protection of this application.

Claims

1. A control method for an intelligent device, characterized in that, The method includes: Acquire the first motion data of the moving object collected by the intelligent device; Based on the first motion data, the first position and first motion trend of the moving object are obtained; If the first position is within a preset range of the smart device, and the first movement trend indicates that the moving object is moving towards the smart device from a preset direction, then the human-computer interaction component of the smart device is controlled to switch from a sleep state to a wake-up state; the preset direction is a direction in which the smart device can be operated. The preset orientation of the smart device is determined as follows: The smart device stores an installation model, and the smart device has a front panel, a rear panel, a left side panel, a right side panel, a top panel, and a bottom panel. The front panel has a door. The smart device has six installation models: the left side panel, the right side panel, and the rear panel are all against a wall; the left side panel and the rear panel are all against a wall; the right side panel and the rear panel are all against a wall; only the left side panel is against a wall; only the right side panel is against a wall; and only the rear panel is against a wall. The front panels of the different installation models have different orientations, thus giving the smart device different preset orientations. After the smart device is installed, the user sets the installation model through a terminal or the control panel of the smart device to determine the preset orientation of the smart device. Based on the first motion data, the first motion trend of the moving object is obtained, including: Based on the first motion data, the motion posture of the moving object is obtained; wherein, the motion posture of the moving object includes the face orientation, body posture, arm posture, and leg posture; Based on the motion posture of the moving object, a first motion trend of the moving object is determined; wherein, if the face changes from forward to right, it indicates that the moving object has a first motion trend to the right; if the body changes from left to forward, it indicates that the moving object has a first motion trend to the forward.

2. The method according to claim 1, characterized in that, The step of obtaining the first position and first movement trend of the moving object based on the first motion data includes: Based on the first motion data, obtain the contour information of the moving object; The identity of the moving object is identified based on the contour information; If the identity of the mobile object indicates that the mobile object has the right to use the smart device, then the first position and the first movement trend of the mobile object are obtained based on the first movement data.

3. The method according to claim 2, characterized in that, After identifying the identity of the moving object based on the contour information, the method further includes: If the identity of the mobile object indicates that the mobile object does not have permission to use the smart device, then the human-computer interaction component of the smart device is controlled to remain in the sleep state.

4. The method according to any one of claims 1-2, characterized in that, After obtaining the first position and first movement trend of the moving object based on the first motion data, the method further includes: If the first position is not within the preset range of the smart device, or if the first movement trend indicates that the moving object is not moving towards the smart device from the preset direction, then the human-computer interaction component of the smart device is controlled to maintain the sleep state.

5. The method according to any one of claims 1-2, characterized in that, After the human-computer interaction component controlling the smart device switches from a sleep state to a wake-up state, the method further includes: Acquire the second motion data of the moving object collected by the smart device; Based on the second motion data, the second position and second motion trend of the moving object are obtained; If the second position is not within the preset range of the smart device, and the second movement trend indicates that the moving object is moving away from the smart device, then the human-computer interaction component of the smart device is controlled to switch from the wake-up state to the sleep state.

6. A control device for an intelligent device, characterized in that, The device includes: an acquisition module, a processing module, and a control module; The acquisition module is used to acquire the first motion data of the moving object collected by the smart device; The processing module is used to obtain the first position and the first movement trend of the moving object based on the first motion data. If the first position is within a preset range of the smart device, and the first movement trend indicates that the moving object is moving towards the smart device from a preset direction, then the human-computer interaction component of the smart device is controlled to switch from a sleep state to a wake-up state; the preset direction is the direction in which the smart device can be operated; the preset direction of the smart device is determined in the following way: the smart device stores an installation model of the smart device, the smart device has a front side panel, a rear side panel, a left side panel, a right side panel, a top side panel, and a bottom side panel, and the front side panel is provided with a door; the smart device has six installation models: the left side panel, the right side panel, and the rear side panel are all against a wall, the left side panel and the rear side panel are all against a wall, the right side panel and the rear side panel are all against a wall, only the left side panel is against a wall, only the right side panel is against a wall, and only the rear side panel is against a wall; the front side panels of different installation models have different orientations, so that the preset direction of the smart device is different; after the smart device is installed, the user sets the installation model through a terminal or the control panel of the smart device to determine the preset direction of the smart device; The processing module is specifically used to: acquire the motion posture of the moving object based on the first motion data; wherein the motion posture of the moving object includes the face orientation, body posture, arm posture, and leg posture; and determine the first motion trend of the moving object based on the motion posture of the moving object; wherein, if the face changes from forward to right, it indicates that the moving object has a first motion trend to the right; if the body changes from left to forward, it indicates that the moving object has a first motion trend to the forward.

7. A control device for an intelligent device, characterized in that, include: Processor and memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory to implement the control method of the smart device as described in any one of claims 1 to 5.

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