Laundry treating apparatus, laundry weight confirmation method, and electronic device

Abstract

The embodiment of the application discloses a kind of clothes processing equipment, clothes weight confirmation method and electronic equipment, belong to clothes processing field.Therein, the method includes: the moment of inertia of clothes in clothes processing barrel is obtained;The distribution of clothes in clothes processing barrel is obtained;According to the moment of inertia of the clothes and the distribution of the clothes, the weight of the clothes is determined.The embodiment of the application has the effect that clothes weight can be accurately determined without increasing weighing circuit and module.

Description

Technical Field

[0001] This application relates to the field of clothing processing, and more specifically, to a clothing processing device, a method for confirming clothing weight, and an electronic device. Background Technology

[0002] In washing machine usage scenarios, the amount of clothing inside can vary significantly, with users potentially putting in one or more items. Different amounts of clothing require different amounts of detergent, water, washing time, spin-drying time, and drying time. If the detergent, water volume, or washing program is unsuitable, clothes may not be properly cleaned, resources may be wasted, and damage to the clothes or the washing machine itself may be possible. Therefore, weighing the clothes in the washing machine is of great practical significance. Consequently, how to accurately measure the weight of clothing is a concern for those skilled in the art. Summary of the Invention

[0003] This application provides a garment processing device, a garment weight verification method, and an electronic device that can achieve high-precision garment weight measurement.

[0004] According to a first aspect of the embodiments of this application, a method for confirming the weight of clothing applied to a clothing processing device is provided, comprising:

[0005] Obtain the moment of inertia of the clothing in the garment processing tank;

[0006] Obtain the distribution of clothing in the garment processing bins;

[0007] The weight of the garment is determined based on its moment of inertia and its distribution.

[0008] In conjunction with the first aspect, in one optional implementation of this application embodiment, obtaining the moment of inertia of the clothes in the garment processing tank includes:

[0009] Obtain the total moment of inertia of the clothing processing tub and the clothing;

[0010] The moment of inertia of the clothing is determined based on the total moment of inertia and the moment of inertia of the clothing processing tub.

[0011] In conjunction with the first aspect, in an optional implementation of this application embodiment, obtaining the total moment of inertia of the clothing processing tub and the clothing includes:

[0012] When the clothes and the clothes processing drum rotate synchronously, the clothes processing drum is controlled to accelerate from a first rotation speed to a second rotation speed, and the motor power and angular velocity corresponding to the first rotation speed, the motor power corresponding to the second rotation speed, and the angular acceleration of the acceleration are obtained, wherein the motor power refers to the power of the motor that drives the clothes processing drum to rotate;

[0013] The total moment of inertia is determined based on the motor power and angular velocity corresponding to the first rotational speed, the motor power corresponding to the second rotational speed, and the angular acceleration of the acceleration.

[0014] In conjunction with the first aspect, in one optional implementation of this application embodiment, obtaining the distribution of clothes in the clothing processing bin includes:

[0015] While the clothes and the clothes processing drum rotate synchronously, an image of the distribution of the clothes within the clothes processing drum is acquired;

[0016] Based on the positional relationship between the clothing and the clothing processing bin in the distribution image, the correspondence between the arc length and radius of the clothing is determined as the distribution of the clothing. Here, the radius refers to the distance between any point in the image and a set center, and the arc length refers to the overlapping part of the circle determined by the radius and the set center with the clothing. The set center is the position in the image corresponding to the central axis of the clothing processing bin.

[0017] In conjunction with the first aspect, in an optional implementation of this application embodiment, obtaining the distribution image of the clothing within the clothing processing bin includes: taking a picture from the clothing inlet of the clothing processing bin towards the inside of the clothing processing bin to obtain the distribution image.

[0018] In conjunction with the first aspect, in an optional implementation of this application embodiment, determining the correspondence between the arc length and radius of the clothing based on the positional relationship between the clothing and the clothing processing bin in the distribution image includes:

[0019] Semantic segmentation is performed based on the distribution image to obtain the outline of the clothing;

[0020] Based on the outline of the garment and the circle, the correspondence between the arc length and radius of the garment is determined.

[0021] In conjunction with the first aspect, in an optional implementation of this application embodiment, determining the weight of the clothing based on its moment of inertia and distribution includes:

[0022] The equivalent radius of rotation of the clothing is determined based on the distribution of the clothing.

[0023] The weight of the garment is determined based on its moment of inertia and its equivalent radius of rotation.

[0024] In conjunction with the first aspect, in an optional implementation of this application embodiment, the equivalent radius of rotation of the clothing is expressed as: Where R represents the radius, This indicates the arc length.

[0025] In conjunction with the first aspect, in an optional implementation of this application embodiment, obtaining the distribution image of the clothing within the clothing processing bin includes:

[0026] When the eccentricity of the clothing processing bin is less than a set value, an image of the distribution of the clothing within the clothing processing bin is obtained.

[0027] In conjunction with the first aspect, in one optional implementation of this application embodiment, obtaining the distribution of clothes in the clothing processing bin includes:

[0028] During the process of controlling the clothing processing drum to accelerate from the first rotation speed to the second rotation speed, an image of the distribution of the clothing in the clothing processing drum is acquired;

[0029] Based on the positional relationship between the clothing and the clothing processing bin in the distribution image, the correspondence between the arc length and radius of the clothing is determined as the distribution of the clothing. Here, the radius refers to the distance between any point in the image and a set center, and the arc length refers to the overlapping part of the circle determined by the radius and the set center with the clothing. The set center is the position in the image corresponding to the central axis of the clothing processing bin.

[0030] According to a second aspect of the embodiments of this application, an electronic device is provided, comprising:

[0031] Memory, used to store computer instructions;

[0032] A processor for invoking and executing the computer instructions to implement the method provided in the first aspect.

[0033] According to a third aspect of the embodiments of this application, a garment processing device is provided, including the electronic device of the second aspect of the embodiments of this application, or employing the method of the first aspect of the embodiments of this application.

[0034] Using the embodiments of this application, the weight of clothes can be accurately determined without adding weighing circuits and modules to the washing machine. Attached Figure Description

[0035] Figure 1This is a flowchart illustrating a method for confirming the weight of clothing applied to a clothing processing device according to an embodiment of this application;

[0036] Figure 2 This is a flowchart illustrating a method for obtaining the moment of inertia of clothing in a garment processing tank according to an embodiment of this application.

[0037] Figure 3 This is a flowchart illustrating a method for obtaining the distribution of clothing in a clothing processing bin according to an embodiment of this application;

[0038] Figure 4 This is a flowchart illustrating a method for determining the weight of clothing according to an embodiment of this application;

[0039] Figure 5 This is a schematic flowchart of another method for confirming the weight of clothing applied to a clothing processing device according to an embodiment of this application;

[0040] Figure 6 This is a schematic diagram of a garment processing device according to an embodiment of this application;

[0041] Figure 7 This is a schematic diagram of an image processing effect according to an embodiment of this application;

[0042] Figure 8 This is a schematic diagram illustrating the determination of clothing distribution according to an embodiment of this application. Detailed Implementation

[0043] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0044] It should be understood that "multiple" as mentioned herein refers to two or more. In the description of the embodiments of this application, unless otherwise stated, " / " means "or," for example, A / B can mean A or B; "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, to facilitate a clear description of the technical solutions of the embodiments of this application, the terms "first," "second," etc., are used in the embodiments of this application to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first," "second," etc., do not limit the quantity or execution order, and the terms "first," "second," etc., do not necessarily imply differentness.

[0045] Furthermore, the terms “comprising” and “having”, and any variations thereof, are intended to cover non-exclusive inclusion, such that a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or apparatus.

[0046] In washing machine usage scenarios, the amount of laundry inside can vary significantly, with users potentially putting in one or more items. Different amounts of laundry require different amounts of detergent, water, washing time, spin-drying time, and drying time. If the detergent, water volume, or washing program is unsuitable, clothes may not be properly cleaned, resources may be wasted, and damage to the clothes or the washing machine itself may be possible. Therefore, weighing the clothes in the washing machine is of great practical significance. By accurately measuring the weight of the clothes, the amount of detergent, water, and washing program can be intelligently optimized, thereby improving washing efficiency, protecting clothes, saving resources, extending the lifespan of the equipment, and enhancing the user experience.

[0047] Existing methods for weighing clothes in washing machines employ different technological approaches, each with its own disadvantages. One related technology uses a dedicated weighing circuit to weigh the clothes inside the washing machine. This method requires additional internal structure to be added to the washing machine and is limited by the accuracy and price of the weighing sensors, resulting in significant weighing errors.

[0048] To address the challenge of high-precision weight measurement, this application provides a method for confirming the weight of clothing in a garment processing device. For example... Figure 1 As shown, the method includes the following processing steps.

[0049] 100: Obtain the moment of inertia of the clothing inside the garment processing tank.

[0050] Moment of inertia is a physical quantity that describes an object's ability to resist changes in angular acceleration. In this embodiment, the moment of inertia of the clothing refers to the moment of inertia of the clothing itself within the clothing processing drum.

[0051] 102: Obtain the distribution of clothing within the clothing processing bin. The distribution of clothing refers to its arrangement within the processing bin, such as its position relative to a specified location within the bin.

[0052] 104: Determine the weight of the clothing based on its moment of inertia and distribution.

[0053] The method provided in the embodiments determines the weight of clothes by utilizing the rotational inertia and distribution of the clothes. Compared with the prior art, it not only eliminates the need to add weighing circuits and modules to the washing machine, but also achieves high-precision weighing of clothes.

[0054] Optionally, in one implementation of this embodiment, such as Figure 2 As shown, processing 100 can be achieved in the following way:

[0055] 1002: Obtain the total moment of inertia of the clothing processing tank and the clothing.

[0056] For example, when the clothes and the garment processing drum rotate synchronously (relatively stationary or almost relatively stationary), the total rotational correlation is obtained. Specifically, when the clothes and the garment processing drum rotate synchronously, the garment processing drum is controlled to accelerate from a first rotational speed to a second rotational speed, and the motor power and angular velocity corresponding to the first rotational speed, the motor power corresponding to the second rotational speed, and the angular acceleration of the acceleration are obtained. Here, the motor power refers to the power of the motor driving the rotation of the garment processing drum.

[0057] The total moment of inertia is determined based on the motor power and angular velocity corresponding to the first rotational speed, the motor power corresponding to the second rotational speed, and the angular acceleration during acceleration. These parameters can be obtained during the control of the clothing processing drum.

[0058] For example, the clothes processing drum is controlled to increase its rotation speed from a first rotation state with a constant angular acceleration until it reaches a second rotation state.

[0059] 1004: Determine the moment of inertia of the clothes based on the total moment of inertia and the moment of inertia of the clothes processing tub.

[0060] Since the moment of inertia of the garment processing tub can be measured immediately after its manufacture, it is a definite value. The moment of inertia of the garments can be obtained by subtracting the moment of inertia of the garment processing tub from the total moment of inertia. This method provides an accurate measurement of the garments' moment of inertia, offering precise data for determining their weight.

[0061] Optionally, in one implementation of this embodiment, such as Figure 3 As shown, in process 102, the distribution of clothing in the clothing processing bucket can be obtained in the following way.

[0062] 1022: Acquire an image showing the distribution of clothing within the clothing processing bin while the clothing and the clothing processing bin rotate synchronously.

[0063] For example, the images can be acquired at the first rotational speed, the second rotational speed, or during the acceleration from the first rotational speed to the second rotational speed.

[0064] In one specific scenario, a distribution image can be obtained by taking a picture from the clothing inlet of the clothing processing bin, facing inwards. The center of the image is set to the position corresponding to the central axis of the clothing processing bin.

[0065] 1024: Based on the positional relationship between clothing and clothing processing bins in the distribution image, determine the correspondence between the arc length and radius of the clothing, as the distribution of the clothing. Here, the radius refers to the distance between any point in the image and a designated center, and the arc length refers to the overlapping portion of the circle determined by the radius and the designated center with the clothing. The designated center is the position in the image corresponding to the central axis of the clothing processing bin.

[0066] For example, the length of the radius takes values ​​in the range [0, r], where r is the radius of the garment processing tub.

[0067] By using the method provided in this embodiment, the distribution of clothing can be accurately represented by utilizing the correspondence between the arc length and radius of clothing in the clothing distribution image.

[0068] Optionally, when the clothes and the clothes processing drum rotate synchronously, the eccentricity of the clothes processing drum is less than a set value. For example, before implementing the solution of the application embodiment, the clothes in the clothes processing drum can be shaken beforehand to make the density distribution of the clothes as uniform as possible. One manifestation of satisfactory shaking is a small eccentricity. By ensuring that the density distribution of the clothes is as uniform as possible, it is beneficial to obtain accurate rotational inertia of the clothes and the equivalent radius mentioned later.

[0069] Optionally, in this implementation, 1024 can be implemented in the following way. First, semantic segmentation is performed based on the distribution image to obtain the outline map of the clothing; then, based on the outline map of the clothing and the circle mentioned above (which can be understood as a circle with a gradually changing radius), the correspondence between the arc length and radius of the clothing is determined. This will be explained in detail in the specific application below.

[0070] Optionally, in one implementation of this embodiment, the correspondence between the arc length and radius of the clothing is determined based on the positional relationship between the clothing and the clothing processing bin in the distribution image, as the distribution of the clothing. Here, the radius refers to the distance between any point in the image and the set center (the position of the central axis of the clothing processing bin in the image), and the arc length refers to the overlapping part of the circle determined by the radius and the set center with the clothing.

[0071] In this implementation, such as Figure 4 As shown, in process 104, the weight of the clothing is determined in the following way.

[0072] 1042: Determine the equivalent radius of rotation of the clothing based on its distribution.

[0073] In a specific example, the equivalent radius of rotation of the clothing is expressed as: Where R represents the radius, Indicates arc length, This indicates that the arc length s is a function of the radius R.

[0074] In other embodiments of this application, obtaining the distribution of clothing within the garment processing drum includes: modeling the clothing rotating synchronously with the processing drum on a two-dimensional image to obtain a two-dimensional image model (the two-dimensional image model is used to represent the distribution of clothing). In this case, surface mass density can be introduced, and the equivalent radius of rotation can be obtained using the infinitesimal method based on the two-dimensional image model.

[0075] In other embodiments of this application, obtaining the distribution of clothing within the garment processing drum includes: performing three-dimensional reconstruction on the clothing rotating synchronously with the processing drum to obtain a three-dimensional reconstruction model (the three-dimensional reconstruction model is used to represent the distribution of the clothing). In this case, body mass density can be introduced, and the equivalent radius of rotation can be obtained using the infinitesimal method based on the three-dimensional reconstruction model.

[0076] 1044: Determine the weight of clothing based on its moment of inertia and equivalent radius of rotation. For example, the weight of clothing can be calculated using the formula for moment of inertia.

[0077] Using this implementation method, the equivalent radius for calculating the moment of inertia can be obtained, thus providing a data foundation for calculating the weight of clothing based on the formula for moment of inertia.

[0078] The following description, in conjunction with the accompanying drawings and a specific implementation process, illustrates a method for confirming clothing weight according to an embodiment of this application. In this embodiment, as... Figure 6 As shown, a camera can be installed on the washing machine door to capture images of the clothes. This camera can capture images of the entire drum and the clothes inside. For example, the camera can be positioned on the central axis of the drum.

[0079] In this embodiment, as Figure 5 As shown, the method for confirming the weight of clothing includes the following procedures.

[0080] 500: The washing machine drum speeds up to exceed a certain threshold, causing the clothes to rotate synchronously with the drum while remaining relatively stationary. The current speed and motor power are recorded, and an image of the inside of the drum is captured.

[0081] 502: The roller increases its speed at a constant angular acceleration. The motor power is recorded at the beginning of the speed increase, and the roller stops increasing speed after the data is recorded.

[0082] Specifically, when the drum is stationary or rotating at a low speed, the clothes will fall to the bottom of the washing machine drum; however, when the drum speed is higher than a certain threshold, the clothes will rotate with the drum and remain almost stationary relative to the drum, no longer falling off. When the drum speed is higher than this threshold, the clothes and the drum rotate together as a relatively stationary whole.

[0083] The angular velocity of the roller at a given moment is denoted as The power of the motor driving the drum rotation at this time is denoted as . Increase the power of the motor driving the roller, causing the roller to accelerate at an angular velocity. Increase the rotational speed, the initial stage of speed increase (drum rotational speed is close to) (In the stage), the power of the motor is recorded as Record the total moment of inertia of the current roller and the clothes as follows: .

[0084] electric motor The power corresponds to the power required to keep the drum and clothes rotating at an angular velocity ω, and this power is used to counteract resistance. and The power difference corresponds to the power required to accelerate the drum. Based on this relationship, the total moment of inertia of the washing machine drum and the clothes can be calculated. : I =

[0085] Due to the rotational inertia of the roller The moment of inertia of the washing machine drum can be measured after the drum is manufactured, and this moment of inertia is denoted as... Then the moment of inertia of the roller underwear can be calculated. : .

[0086] 504: Using a semantic segmentation model for image processing, segment the clothing portion from an image inside a drum.

[0087] 506: Obtain clothing distribution information from the segmented image and obtain the relationship between the clothing distribution radius and arc length.

[0088] 508: Use the formula to calculate the quality of the clothing.

[0089] The explanations for 504~508 are as follows.

[0090] Since the distribution of clothing is unknown, it is impossible to directly establish a relationship between the rotational inertia of clothing and the mass of clothing. However, this application establishes a relationship between the two through image recognition. The specific implementation method is as follows.

[0091] The roller has an angular velocity As the washing machine rotates, the camera on the machine takes pictures of the inside of the drum, obtaining images, such as... Figure 7 As shown in the left-hand image.

[0092] Using a semantic segmentation image recognition algorithm, the clothing portion is segmented from the entire image of the drum, such as... Figure 7 As shown in the right-hand image, since the shape and position of the roller and camera are constant, the position of the roller's axis of rotation (i.e., the central axis) can be marked on the segmented image, and the distance from any point on the image to the axis of rotation can also be calculated.

[0093] like Figure 8 As shown, on the segmented clothing image, each radius The corresponding arc length of the clothing is denoted as , Therefore A function of the independent variable, denoted as This function can be obtained based on the shape of the segmented image.

[0094] In this embodiment, the density of clothing is approximated as constant. Therefore, the area mass density of clothing in the segmented clothing image can be considered a constant value, denoted as […]. In the segmented clothing image, each area micro-element (denoted as...) The image shows clothing with a quality of ) dA.

[0095] Then the size of the infinitesimal area element corresponding to each radius R is: Then the radius The corresponding clothing quality is f(R) dR. Then for each radius The corresponding infinitesimal element of the moment of inertia is: The moment of inertia of the clothing can then be expressed as:

[0096]

[0097] Therefore, we can calculate the area mass density on the clothing image as follows:

[0098]

[0099] Then the mass of the clothes inside the drum can be measured:

[0100]

[0101] In summary, the final measured weight of the clothing is:

[0102] .

[0103] According to the inventor's research, for a point mass, mass m, moment of inertia I, and radius R, the relationship between these three factors satisfies: I = mR², or m = I ÷ R². For clothing, considering its irregular shape, it is difficult to directly determine a radius. Therefore, a radius is used... This actually corresponds to the equivalent R², that is, here. This can be understood as "equivalent radius squared". This can be understood as "equivalent radius".

[0104] The method provided in this embodiment obtains an image of the distribution of clothes inside the washing machine drum through a clothes segmentation algorithm, and then derives the radius from the image. Arc length corresponding to clothing distribution Relationship This represents the distribution of clothing. Establishing this relationship directly links the weight of the clothing to the power, angular velocity, and angular acceleration of the washing machine drum, thus enabling the weighing of the clothing. Whether the clothing is clinging to the drum wall as a thin layer or filling the entire drum, semantic segmentation methods in image processing can be used to obtain the aforementioned information. The relationship is used to calculate the quality of the clothing.

[0105] In some related technologies, the load weight is determined based on the inertia parameters of the load, or a large amount of data on the "acceleration power" and "load weight" during the drum acceleration of a drum washing machine is obtained, and then a mapping relationship is established using linear fitting to achieve the weighing of clothes. These solutions share a common drawback: while there is a relationship between "drum acceleration power" and "moment of inertia," "moment of inertia" is not only related to "clothes weight" but also to "the distance between each part of the clothes and the axis of rotation." These solutions ignore the distribution of clothes, assuming a necessary correlation between moment of inertia and clothes weight, and cannot handle weighing clothes under different distribution conditions. For example, for the same weight, high-density clothes and low-density cotton pillows will have vastly different distributions. High-density clothes fit closer to the drum, while low-density pillows may fill the entire drum. Therefore, high-density clothes have a greater moment of inertia and require higher power for acceleration. These existing solutions cannot handle this situation. The method provided in this application, however, effectively solves this problem. Furthermore, the method provided in this application is applicable to different clothing distribution conditions.

[0106] The method provided in this embodiment can be repeated multiple times to measure the mass of the same group of clothing at different rotation speeds and different angular accelerations, and then the results of multiple measurements can be integrated (e.g., by averaging) to obtain a more accurate result.

[0107] This application also provides an electronic device, including a memory and a processor. The memory stores computer instructions, and the processor is used to call and execute the computer instructions to implement the clothing weighing method provided in the preceding embodiments of this application. Exemplarily, the electronic device may be an integrated chip, integrated circuit, motherboard, etc.

[0108] This application also provides a garment processing device having the electronic equipment mentioned above. Alternatively, the garment weight determination method mentioned above can be used.

[0109] The description of the above electronic device is similar to that of the above method embodiments, and has similar beneficial effects. For technical details not disclosed in the electronic device of this application, please refer to the description of the method embodiments of this application for understanding.

[0110] The sequence numbers or order of description of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0111] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0112] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0113] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0114] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital versatile disc (DVD)), or a semiconductor medium (e.g., solid state disk (SSD)). It is worth noting that the computer-readable storage medium mentioned in the embodiments of this application can be a non-volatile storage medium; in other words, it can be a non-transient storage medium.

[0115] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.), and signals involved in the embodiments of this application are all authorized by the user or fully authorized by all parties, and the collection, use, and processing of related data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. For example, the scene data of the current frame in the 3D virtual scene involved in the embodiments of this application, the client's device information, and the scene interaction information are all obtained with full authorization.

[0116] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for confirming the weight of clothing in a clothing processing device, the method comprising: Obtain the moment of inertia of the clothing in the garment processing tank; Obtain the distribution of clothing in the garment processing bins, including: While the clothes and the clothes processing drum rotate synchronously, an image of the distribution of the clothes within the clothes processing drum is acquired. Based on the positional relationship between the clothing and the clothing processing bin in the distribution image, the correspondence between the arc length and radius of the clothing is determined as the distribution of the clothing; wherein, the radius refers to the distance between any point in the distribution image and the center of a set circle, and the arc length refers to the overlapping part of the circle determined by the radius and the set center and the clothing, and the set center is the position in the distribution image corresponding to the central axis of the clothing processing bin; The weight of the garment is determined based on its moment of inertia and its distribution. The step of determining the weight of the clothing based on its moment of inertia and distribution includes: The equivalent radius of rotation of the clothing is determined based on the distribution of the clothing. The weight of the garment is determined based on its moment of inertia and its equivalent radius of rotation.

2. The method according to claim 1, characterized in that, The process of obtaining the moment of inertia of the clothing in the garment processing tank includes: Obtain the total moment of inertia of the clothing processing tub and the clothing; The moment of inertia of the clothing is determined based on the total moment of inertia and the moment of inertia of the clothing processing tub.

3. The method according to claim 2, characterized in that, The step of obtaining the total moment of inertia of the clothing processing tub and the clothing includes: When the clothes and the clothes processing drum rotate synchronously, the clothes processing drum is controlled to accelerate from a first rotation speed to a second rotation speed, and the motor power and angular velocity corresponding to the first rotation speed, the motor power corresponding to the second rotation speed, and the angular acceleration of the acceleration are obtained, wherein the motor power refers to the power of the motor that drives the clothes processing drum to rotate; The total moment of inertia is determined based on the motor power and angular velocity corresponding to the first rotational speed, the motor power corresponding to the second rotational speed, and the angular acceleration of the acceleration.

4. The method according to claim 3, characterized in that, The step of obtaining a distribution image of the clothing within the clothing processing bin includes: During the process of controlling the clothing processing drum to accelerate from the first rotation speed to the second rotation speed, an image of the distribution of the clothing in the clothing processing drum is acquired.

5. The method according to claim 1, characterized in that, The step of obtaining the distribution image of the clothing in the clothing processing bin includes: taking a picture from the clothing inlet of the clothing processing bin towards the inside of the clothing processing bin to obtain the distribution image.

6. The method according to claim 1, characterized in that, The step of determining the correspondence between the arc length and radius of the clothing based on the positional relationship between the clothing and the clothing processing bin in the distribution image includes: Semantic segmentation is performed based on the distribution image to obtain the outline of the clothing; Based on the outline of the garment and the circle, the correspondence between the arc length and radius of the garment is determined.

7. The method according to claim 1, characterized in that, The step of obtaining a distribution image of the clothing within the clothing processing bin includes: When the eccentricity of the clothing processing bin is less than a set value, an image of the distribution of the clothing within the clothing processing bin is obtained.

8. The method according to any one of claims 1-7, characterized in that, The equivalent radius of rotation of the garment is expressed as: Where R represents the radius, This indicates the arc length.

9. An electronic device, characterized in that, The electronic device includes: Memory, used to store computer instructions; A processor for invoking and executing the computer instructions to implement the method as described in any one of claims 1-8.

10. A garment processing device, characterized in that, The garment processing device has the electronic equipment as described in claim 9, or employs the method as described in any one of claims 1-8.

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