Laundry treating apparatus control method, device, apparatus, and storage medium

Abstract

The application belongs to the technical field of intelligent household appliances, and particularly relates to a clothes processing device control method, device, equipment and storage medium. When it is detected that clothes are placed in a drum of a clothes processing device, and a drum door state is switched to a closed state, stacking information of the clothes is determined according to infrared data received by an infrared sensor; whether an abnormality exists in a stacking condition of the clothes is determined according to the stacking information; if the abnormality exists, a 3D stacking schematic diagram is generated according to the stacking information, and the 3D stacking schematic diagram is displayed on a display interface of the clothes processing device, so that a user adjusts a placement position of the clothes based on the 3D stacking schematic diagram. In the above manner, whether an abnormality exists in the stacking of the clothes in the drum is analyzed according to the infrared data before the equipment is operated, so that unreasonable initial stacking is avoided to aggravate eccentricity during equipment operation.

Description

Technical Field

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

[0002] During the operation of garment processing equipment, the stacking of clothes has a significant impact on the processing effect, as well as the stability and safety of the equipment. Improper stacking of clothes in the drum can lead to uneven washing and insufficient dehydration, while also increasing vibration and noise during operation, and may even cause abnormal shutdowns, affecting the user experience.

[0003] Currently, most garment processing equipment on the market optimizes its operation based on garment stacking, such as adjusting rotation speed and water flow mode, or using the equipment's shaking function to improve the stacking of garments in the drum, thereby enhancing garment processing results.

[0004] However, the above solutions mainly focus on the distribution of clothing during dynamic operation, while neglecting the rationality of the initial clothing stacking. If there are unreasonable phenomena such as one-sided concentration, excessively tight wrapping, or volume imbalance during the delivery stage, it will further aggravate the eccentricity problem during equipment operation. Summary of the Invention

[0005] This application provides a control method, apparatus, device, and storage medium for a garment processing device to address the technical problem that neglecting the rationality of the initial garment stacking in a garment processing device may exacerbate the eccentricity during device operation.

[0006] In a first aspect, this application provides a control method for a garment processing device, applied to a garment processing device equipped with an infrared sensor, the method comprising:

[0007] When it is detected that clothes are placed inside the clothes handling equipment drum and the drum door is switched to the closed state, the stacking information of the clothes is determined based on the infrared data received by the infrared sensor.

[0008] Determine whether there are any abnormalities in the stacking of the clothing based on the stacking information;

[0009] If an anomaly is found, a 3D stacking diagram is generated based on the stacking information and displayed on the display interface of the clothing processing device so that the user can adjust the placement of the clothing based on the 3D stacking diagram.

[0010] In one possible implementation, determining whether there is an anomaly in the stacking of the clothing based on the stacking information includes:

[0011] Based on the preset stacking parameter weight mapping relationship, the weight parameter of each stacking parameter in the stacking information is obtained;

[0012] Based on the stacking information and the weight parameters of each stacking parameter, the stacking score of the clothing is determined;

[0013] Based on the stacking score and the stacking information, determine whether there are any abnormalities in the stacking of the clothing.

[0014] In one possible implementation, determining whether there is an anomaly in the stacking of the clothing based on the stacking score and the stacking information includes:

[0015] If the stacking score is less than or equal to the scoring threshold, it is determined that the stacking of the clothing is abnormal;

[0016] If the stacking score is greater than the score threshold, then the allowable parameter range corresponding to each stacking parameter is obtained, and the allowable parameter range is corrected according to the stacking score;

[0017] If each stacking parameter is within the corrected allowable parameter range, then it is determined that the stacking of the clothing is not abnormal.

[0018] If there are abnormal stacking parameters that are not included in the corrected allowable parameter range, then the stacking of the clothing is determined to be abnormal.

[0019] In one possible implementation, displaying the 3D stacking diagram on the display interface of the garment processing device includes:

[0020] Analyze the stacking score or the abnormal stacking parameters, locate the abnormal region in the 3D stacking diagram, and mark the abnormal region in the 3D stacking diagram according to a preset method;

[0021] Based on the stacking score and the stacking information, generate text content indicating the stacking status of the clothing;

[0022] The text content and a 3D stacked diagram with markings are displayed on the display interface of the garment processing device.

[0023] In one possible implementation, the stacking information includes stacking density, and the method further includes:

[0024] If the stacking of the clothing is not abnormal, the parameter adjustment mode is determined according to the stacking density;

[0025] Based on the parameter adjustment mode, the parameters of the initial running program are adjusted to obtain the target running program;

[0026] A confirmation prompt is generated based on the target program and the initial program, and the confirmation prompt is output.

[0027] In response to user feedback based on the confirmation prompt, the target program is executed.

[0028] In one possible implementation, determining the parameter adjustment mode based on the stacking density includes:

[0029] If the stacking density is greater than or equal to the first density, the parameter adjustment mode is determined according to the weight priority mode;

[0030] If the stacking density is less than the second density, the parameter adjustment mode is determined according to the volume priority mode;

[0031] If the stacking density is greater than or equal to the second density and less than the first density, then the parameter adjustment mode is determined according to the mixing mode, wherein the mixing mode indicates a mode in which parameter adjustment operations are performed in combination with the weight and volume of the garment.

[0032] In one possible implementation, generating a confirmation prompt based on the target program and the initial program includes:

[0033] A comparative analysis is performed based on the target program and the initial program.

[0034] Based on the comparative analysis results, the performance advantage of the target program compared to the initial program is determined;

[0035] A confirmation prompt is generated based on the aforementioned performance advantages.

[0036] Secondly, this application provides a control device for a garment processing equipment, applied to a garment processing equipment, wherein the garment processing equipment is equipped with an infrared sensor, including: an acquisition module, a determination module, and a control module, wherein:

[0037] The acquisition module is used to determine the stacking information of the clothing based on the infrared data received by the infrared sensor when it detects that clothing is placed inside the clothing processing equipment drum and the drum door is switched to the closed state.

[0038] The determining module is used to determine whether there is any abnormality in the stacking of the clothing based on the stacking information;

[0039] The control module is used to generate a 3D stacking diagram based on the stacking information if an abnormality occurs, and to display the 3D stacking diagram on the display interface of the clothing processing device so that the user can adjust the placement of the clothing based on the 3D stacking diagram.

[0040] In one possible implementation, the determining module is further configured to:

[0041] Based on the preset stacking parameter weight mapping relationship, the weight parameter of each stacking parameter in the stacking information is obtained;

[0042] Based on the stacking information and the weight parameters of each stacking parameter, the stacking score of the clothing is determined;

[0043] Based on the stacking score and the stacking information, determine whether there are any abnormalities in the stacking of the clothing.

[0044] In one possible implementation, the determining module is further configured to:

[0045] If the stacking score is less than or equal to the scoring threshold, it is determined that the stacking of the clothing is abnormal;

[0046] If the stacking score is greater than the score threshold, then the allowable parameter range corresponding to each stacking parameter is obtained, and the allowable parameter range is corrected according to the stacking score;

[0047] If each stacking parameter is within the corrected allowable parameter range, then it is determined that the stacking of the clothing is not abnormal.

[0048] If there are abnormal stacking parameters that are not included in the corrected allowable parameter range, then the stacking of the clothing is determined to be abnormal.

[0049] In one possible implementation, the control module is further configured to:

[0050] Analyze the stacking score or the abnormal stacking parameters, locate the abnormal region in the 3D stacking diagram, and mark the abnormal region in the 3D stacking diagram according to a preset method;

[0051] Based on the stacking score and the stacking information, generate text content indicating the stacking status of the clothing;

[0052] The text content and a 3D stacked diagram with markings are displayed on the display interface of the garment processing device.

[0053] In one possible implementation, the control module is further configured to:

[0054] If the stacking of the clothing is not abnormal, the parameter adjustment mode is determined according to the stacking density;

[0055] Based on the parameter adjustment mode, the parameters of the initial running program are adjusted to obtain the target running program;

[0056] A confirmation prompt is generated based on the target program and the initial program, and the confirmation prompt is output.

[0057] In response to user feedback based on the confirmation prompt, the target program is executed.

[0058] In one possible implementation, the control module is further configured to:

[0059] If the stacking density is greater than or equal to the first density, the parameter adjustment mode is determined according to the weight priority mode;

[0060] If the stacking density is less than the second density, the parameter adjustment mode is determined according to the volume priority mode;

[0061] If the stacking density is greater than or equal to the second density and less than the first density, then the parameter adjustment mode is determined according to the mixing mode, wherein the mixing mode indicates a mode in which parameter adjustment operations are performed in combination with the weight and volume of the garment.

[0062] In one possible implementation, the control module is further configured to:

[0063] A comparative analysis is performed based on the target program and the initial program.

[0064] Based on the comparative analysis results, the performance advantage of the target program compared to the initial program is determined;

[0065] A confirmation prompt is generated based on the aforementioned performance advantages.

[0066] Thirdly, this application provides a garment processing device, including: a processor, and a memory communicatively connected to the processor;

[0067] The memory stores computer-executed instructions;

[0068] The processor executes computer execution instructions stored in the memory to implement the garment handling equipment control method as described in the first aspect.

[0069] Fourthly, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a computer, are used to implement the clothing processing equipment control method as described in the first aspect.

[0070] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, can implement the steps of the scheme recommendation method as described in any of the first aspects.

[0071] The garment processing equipment control method, apparatus, device, and storage medium provided in this application acquire stacking information of the garments inside the garment processing equipment after the drum door is closed using an infrared sensor. It intelligently determines whether there are any abnormalities in the garment stacking and, upon determining an abnormality, generates and displays a 3D stacking diagram based on the stacking information to help the user adjust the placement of the garments inside the drum. Through this method, by analyzing the infrared data before the equipment operates to check for abnormalities in the garment stacking inside the drum, unreasonable initial stacking is avoided, which could exacerbate the eccentricity during equipment operation. Attached Figure Description

[0072] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0073] Figure 1 A flowchart illustrating a garment processing equipment control method provided in this application embodiment. Figure 1 ;

[0074] Figure 2 A flowchart illustrating a garment processing equipment control method provided in this application embodiment. Figure 2 ;

[0075] Figure 2a A schematic diagram of a display interface for a garment processing device provided in an embodiment of this application;

[0076] Figure 3 A flowchart illustrating a garment processing equipment control method provided in this application embodiment. Figure 3 ;

[0077] Figure 4 This is a schematic diagram of the structure of a clothing processing equipment control device provided in an embodiment of this application;

[0078] Figure 5 This is a schematic diagram of the structure of a garment processing device provided in an embodiment of this application.

[0079] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0080] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0081] Currently, most garment processing equipment on the market optimizes its operation based on garment stacking, such as adjusting rotation speed and water flow patterns, or utilizing the equipment's shaking function to improve garment stacking within the drum, thereby enhancing processing efficiency. However, these solutions primarily focus on garment distribution during dynamic operation, neglecting the rationality of the initial garment stacking. If garments exhibit unreasonable phenomena such as one-sided concentration, excessively tight winding, or volume imbalance during the loading stage, it will further exacerbate the eccentricity problem during equipment operation.

[0082] This application provides a control method for a garment processing device. It uses an infrared sensor to acquire information about the stacking of garments inside the processing device after the drum door is closed. The method intelligently determines whether there are any abnormalities in the garment stacking and, if an abnormality is detected, generates and displays a 3D stacking diagram based on the stacking information to help the user adjust the placement of the garments inside the drum. By analyzing the infrared data before the device operates to check for abnormalities in the garment stacking, it avoids unreasonable initial stacking that could exacerbate eccentricity during device operation.

[0083] The technical solutions of this application and how they solve the aforementioned technical problems are described in detail below with specific embodiments. These specific embodiments may exist independently or in combination with each other. Identical or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will now be described with reference to the accompanying drawings.

[0084] Figure 1 A flowchart illustrating a garment processing equipment control method provided in this application embodiment. Figure 1 .like Figure 1 As shown, the method includes:

[0085] S101. When it is detected that clothes are placed inside the clothes handling equipment drum and the drum door is switched to the closed state, the stacking information of the clothes is determined based on the infrared data received by the infrared sensor.

[0086] In this step, the stacking of clothes during the operation of the garment processing equipment has a significant impact on the processing effect, as well as the stability and safety of the equipment. Improper stacking of clothes in the drum can lead to uneven washing, insufficient dehydration, and increased vibration and noise during operation, potentially even causing abnormal shutdowns and affecting the user experience. Currently, most garment processing equipment on the market optimizes its operating program based on clothing stacking, such as adjusting the rotation speed and water flow mode, or utilizing the equipment's shaking function to improve the stacking of clothes in the drum, thereby enhancing the processing effect. However, the above solutions mainly focus on the dynamic distribution of clothes during operation, neglecting the rationality of the initial clothing stacking. If the clothes exhibit unreasonable phenomena such as one-sided concentration, excessively tight winding, or volume imbalance during the loading stage, it will further exacerbate the eccentricity problem during equipment operation. Therefore, in this embodiment, before the garment processing equipment starts operating, an infrared sensor is used to determine whether there are any abnormalities in the stacking of clothes in the drum.

[0087] Specifically, when the garment handling equipment detects that there are garments inside the drum and the drum door is switched to the closed state, the infrared sensor sends an infrared detection signal towards the inside of the drum and receives the reflected infrared data. The infrared data is then analyzed to determine the stacking information of the garments inside the drum. This embodiment does not impose any limitations on the stacking parameters in the stacking information.

[0088] For example, the stacking information may include stacking density and porosity.

[0089] Furthermore, the implementation method for obtaining clothing stacking information based on infrared data is as follows:

[0090] A cylindrical coordinate system for the inner cylinder is established based on the infrared data received by the infrared sensor, with the central axis of the inner cylinder as the Z-axis and the center of the bottom surface of the inner cylinder as the origin.

[0091] Regarding porosity: The inner cylinder space is divided into multiple cubic grids, with each grid measuring 5cm × 5cm × 5cm. Infrared data consists of multiple infrared point clouds. The point cloud density is determined based on the number of infrared point clouds within each grid and the grid volume. The number of grids representing the cavity is determined based on the number of point cloud densities below a density threshold. The porosity is determined based on the ratio of the total volume of the grids representing the cavity to the inner cylinder volume.

[0092] For stacking density: Determine the volume of clothing inside the drum based on the inner drum volume and the total volume of the grid representing the cavity obtained above. Obtain the weight of the clothing inside the drum, and determine the stacking density based on the ratio of weight to clothing volume.

[0093] S102. Determine whether there are any abnormalities in the stacking of clothing based on the stacking information.

[0094] In this step, since the clothing inside the tube may be a mixture of fabrics of different materials and thicknesses, such as cotton, synthetic fibers, and wool, which have significantly different infrared reflectivity and light absorption characteristics, the allowable ranges for different stacking parameters in the stacking information also vary. For example, a soft down jacket allows for a higher porosity, while tight-fitting jeans require stricter control over the stacking density.

[0095] To efficiently assess the overall stacking of clothing, a stacking score is first calculated based on the previously acquired stacking information. This score is then used to quickly determine whether the current stacking of clothing within the drawer meets basic requirements. Simultaneously, to ensure the accuracy of stacking anomaly detection, a tiered detection rule is adopted. That is, after determining that the overall stacking of clothing is normal based on the stacking score, further anomaly detection is performed on the local stacking of clothing based on each stacking parameter in the stacking information.

[0096] Specifically, a weighted calculation is performed based on the stacking information to obtain the corresponding stacking score. The stacking score and a scoring threshold are then used to determine if any stacking anomalies exist. After determining that the clothing stacking is normal based on the stacking score and threshold, each stacking parameter in the stacking information is further compared with its corresponding allowable parameter range. The comparison results of multiple stacking parameters are then used to determine if any abnormalities exist in the clothing stacking.

[0097] S103. If an anomaly is found, a 3D stacking diagram is generated based on the stacking information and displayed on the display interface of the clothing processing equipment so that the user can adjust the placement of the clothing based on the 3D stacking diagram.

[0098] In this step, when the garment processing equipment determines that the garment stacking is abnormal based on the stacking information, it needs to prompt the user to rearrange the garments in the drum. Normally, users simply spread the garments out naturally in the drum, which only solves the most basic problem of uneven distribution. However, abnormal garment stacking can involve various complex situations: for example, heavy garments piled up in a specific area causing a shift in the center of gravity, multiple layers of light garments stacked together creating a risk of localized overheating, or some garments forming dense clumps that are difficult to permeate due to tangling. Therefore, to more accurately determine the user's adjustment of the garment placement in the drum, a 3D stacking diagram is generated based on the stacking information to indicate the location of the stacking abnormality, and this 3D stacking diagram is displayed on the garment processing equipment's display interface.

[0099] This application provides a control method for a garment processing device. It uses an infrared sensor to acquire information about the stacking of garments inside the processing device after the drum door is closed. The method intelligently determines whether there are any abnormalities in the garment stacking and, if an abnormality is detected, generates and displays a 3D stacking diagram based on the stacking information to help the user adjust the placement of the garments inside the drum. By analyzing the infrared data before the device operates to check for abnormalities in the garment stacking, it avoids unreasonable initial stacking that could exacerbate eccentricity during device operation.

[0100] Figure 2 A flowchart illustrating a garment processing equipment control method provided in this application embodiment. Figure 2 This embodiment provides a detailed explanation of the steps involved in determining whether there are any abnormalities in the stacking of clothing based on stacking information. For example... Figure 2 As shown, the method includes:

[0101] S201. Based on the preset stacking parameter weight mapping relationship, obtain the weight parameter of each stacking parameter in the stacking information.

[0102] In this step, during the operation of the garment processing equipment, stacking parameters in the stacking information, such as stacking density and porosity, have varying impacts on garment eccentricity and washing performance. For example, uneven stacking of thicker cotton garments significantly increases dynamic eccentricity, while thinner synthetic fiber garments are more affected by stacking density. To address these differences in stacking parameter sensitivity, this embodiment employs a weighted calculation method to determine the stacking score based on the stacking information.

[0103] Specifically, a preset stacking parameter weight mapping relationship is obtained, and the weight parameter corresponding to each stacking parameter in the stacking information is queried based on the stacking parameter weight mapping relationship.

[0104] S202. Based on the stacking information and the weight parameters of each stacking parameter, determine the stacking score of the clothing.

[0105] In this step, after obtaining the weight parameter corresponding to each stacking parameter based on the stacking parameter weight mapping relationship, a stacking score is calculated to evaluate the overall stacking of the clothing. The specific process is as follows:

[0106] For each stacking parameter, determine the corresponding reference stacking parameter, and determine the offset value based on the stacking parameter and the reference stacking parameter. Determine the offset range to which the offset value belongs, and determine the candidate stacking score based on the offset range.

[0107] Furthermore, the candidate stacking score is corrected according to the corresponding weight parameters, and a stacking score indicating the overall stacking status of the clothing is determined based on the sum of multiple corrected candidate stacking scores.

[0108] For example, the stacking information includes: a stacking density of 0.1 kg / L, a porosity of 20%, and a layer separation of 20 cm / layer. A reference stacking density is 0.12 kg / L, a reference porosity of 25%, and a reference layer separation of 15 cm / layer. The weighting parameter for the stacking density is 0.4, the weighting parameter for the porosity is 0.4, and the weighting parameter for the layer separation is 0.2.

[0109] The offset value for stacking density is 0.12 - 0.1 = 0.02 kg / L, and the candidate stacking score corresponding to this offset range is 80. The offset value for porosity is 25% - 20% = 5%, and the candidate stacking score corresponding to this offset range is 70. The offset value for interlayer separation is 20 - 15 = 5 cm / layer, and the candidate stacking score corresponding to this offset range is 85. The calculated stacking score is: 80 × 0.4 + 70 × 0.4 + 85 × 0.2 = 77.

[0110] S203. If the stacking score is less than or equal to the scoring threshold, it is determined that there is an abnormality in the stacking of clothing.

[0111] In this step, when the stacking score is determined to be less than or equal to the scoring threshold, it indicates that the stacking score is outside the normal range, thus determining that the stacking of the tubular clothing is abnormal. For example, the scoring threshold can be 60-70.

[0112] S204. If the stack score is greater than the score threshold, obtain the allowable parameter range corresponding to each stack parameter, and correct the allowable parameter range according to the score threshold.

[0113] In this step, after assessing the overall stacking of the clothing based on the stacking score and finding no abnormalities, it is necessary to further determine whether there are any abnormalities in the stacking of specific parts of the clothing based on the stacking parameters in the stacking information.

[0114] Considering that a high stacking score indicates a better overall stacking condition of the clothes inside the drum, the allowable parameter range can be appropriately increased to reduce the probability of misjudging local stacking anomalies. Conversely, a low stacking score indicates a poor overall stacking condition of the clothes inside the drum, and the allowable parameter range can be appropriately narrowed to improve the accuracy of misjudging local stacking anomalies. Therefore, in this embodiment, when determining whether there is an anomaly in the local stacking of clothes based on the stacking parameters, it is necessary to first adjust the allowable parameter range corresponding to each stacking parameter based on the stacking score.

[0115] Specifically, if the stacking score is greater than the scoring threshold, it indicates that the overall stacking of the clothing is normal based on the stacking score. Therefore, the allowable parameter range for each stacking parameter is obtained. The scoring range to which the stacking score belongs is determined, and a range correction parameter is determined based on this scoring range. Then, the allowable range for each parameter is corrected based on this range correction parameter.

[0116] S205. If each stacking parameter is within the corrected allowable parameter range, then it is determined that there is no abnormality in the stacking of the clothing.

[0117] In this step, it is determined whether each stacking parameter is included within the corresponding revised allowable parameter range. If it is determined that each stacking parameter is included within the revised allowable parameter range, then it is determined that the stacking of the clothing is not abnormal.

[0118] S206. If there are abnormal stacking parameters that are not included in the corrected allowable parameter range, it is determined that the stacking of clothing is abnormal.

[0119] In this step, it is determined whether each stacking parameter is included in the corresponding corrected allowable parameter range. If an abnormal stacking parameter is found that is not included in the corrected allowable parameter range among multiple stacking parameters, then the stacking of the clothing is determined to be abnormal.

[0120] For example, the stacking information includes: stacking density of 0.1 kg / L, porosity of 20%, interlayer separation of 20 cm / layer, and a stacking score of 77. The allowable parameter range for stacking density is 0.08 kg / L - 0.25 kg / L, the allowable parameter range for porosity is 25% - 40%, and the allowable parameter range for interlayer separation is 8 cm / layer - 20 cm / layer.

[0121] Based on the scoring range to which the stacking score belongs, the range correction parameter is determined to be 0.8. The range correction parameter is used to adjust the range of each operating parameter, resulting in the following allowable parameter ranges after stacking density correction: 0.64 KG / L - 0.2 KG / L; after porosity correction: 20% - 32%; and after interlayer separation correction: 6.4 cm / layer - 16 cm / layer.

[0122] Furthermore, the stacking density of 0.1 kg / L is included in the allowable parameter range of 0.64 kg / L - 0.2 kg / L after stacking density correction; the porosity of 20% is included in the allowable parameter range of 20% - 32% after porosity correction; and the interlayer separation of 20 cm / layer is not included in the allowable parameter range of 6.4 cm / layer - 16 cm / layer after interlayer separation correction. Therefore, it is determined that the stacking of the clothing is abnormal.

[0123] In one possible implementation, to further improve the convenience for users to adjust the placement of clothing based on the 3D stacking diagram, this embodiment also generates text content indicating the stacking status of the clothing, which is displayed along with the 3D stacking diagram. The specific steps for determining the text content and its display are as follows:

[0124] Analyze the stacking score or the abnormal stacking parameters, locate the abnormal region in the 3D stacking diagram, and mark the abnormal region in the 3D stacking diagram according to a preset method;

[0125] Based on the stacking score and the stacking information, generate text content indicating the stacking status of the clothing;

[0126] The text content and a 3D stacked diagram with markings are displayed on the display interface of the garment processing device.

[0127] For example, such as Figure 2a The diagram shown is a schematic representation of a garment processing device display interface provided in an embodiment of this application. The display interface shows text content including the current stacking status and adjustment suggestions, as well as a 3D stacking diagram.

[0128] The current stacking status includes stacking information obtained from infrared data and a stacking score determined based on that information. Specifically, the stacking score is 77 points, the porosity is normal at 30%, the interlayer separation is normal at 15cm / layer, and the stacking density is too high at 3.5KG / L. Furthermore, to allow users to more intuitively view the quality of the clothing stacking, the area ratio of the black region within the grid represents the corresponding stacking parameters, or the quality of the stacking score.

[0129] The 3D stacking diagram indicates that the top area of ​​the tube-shaped clothing is an abnormal area, meaning that the top clothing is high-density clothing and too heavy, resulting in excessive stacking density.

[0130] The adjustment suggestion indicates that users can improve the stacking of clothes in the tube by alternating high-density and low-density clothes inside the tube.

[0131] This application provides a control method for a garment handling device. It determines the weight parameter of each stacking parameter, calculates a stacking score based on stacking information and multiple weight parameters, and directly determines whether the garment stacking is abnormal based on whether the stacking score is greater than or equal to a score threshold. Alternatively, it adjusts the allowable parameter range corresponding to each stacking parameter based on the stacking score, and further determines whether the stacking of the garments inside the garment basket is abnormal by checking whether there are any abnormal stacking parameters not included in the adjusted allowable parameter range. This method reduces the false positive rate of stacking anomaly detection while ensuring detection accuracy. Furthermore, it helps users quickly and correctly adjust the placement of garments inside the basket through 3D stacking diagrams and text content, improving the interactive experience and user satisfaction.

[0132] Figure 3 A flowchart illustrating a garment processing equipment control method provided in this application embodiment. Figure 3This embodiment provides a detailed explanation of the subsequent operations of the clothing processing equipment when there are no abnormalities in the stacking of clothing. For example... Figure 3 As shown, the method includes:

[0133] S301. If there is no abnormality in the stacking of the clothes, the parameter adjustment mode is determined according to the stacking density.

[0134] In this step, a higher stacking density indicates that the clothes inside the drum are mainly high-density materials. Adjusting the program parameters based on the weight of the clothes ensures optimal cleaning and care. A lower stacking density indicates that the clothes inside are mostly fluffy and lightweight fabrics. For these types of clothes, the program parameters should be adjusted according to their volume to avoid damage or poor cleaning results due to over-spinning or insufficient washing power. However, when the stacking density is in the middle range, program parameter adjustments need to consider both the weight and volume of the clothes. Therefore, to ensure the best treatment effect, the parameter adjustment mode should be determined primarily based on the stacking density. The specific process is as follows:

[0135] If the stacking density is greater than or equal to the first density, the parameter adjustment mode is determined according to the weight priority mode;

[0136] If the stacking density is less than the second density, the parameter adjustment mode is determined according to the volume priority mode;

[0137] If the stacking density is greater than or equal to the second density and less than the first density, then the parameter adjustment mode is determined according to the mixing mode, wherein the mixing mode indicates a mode in which parameter adjustment operations are performed in combination with the weight and volume of the garment.

[0138] For example, the first density may be 2.5 KG / L - 3 KG / L, and the second density may be 0.5 KG / L - 0.7 KG / L.

[0139] S302. Adjust the parameters of the initial running program based on the parameter adjustment mode to obtain the target running program.

[0140] In this step, after determining the parameter adjustment mode based on the stacking density, the adjustable parameters of the initial running program and the corresponding adjustment range for each parameter are obtained. Then, based on the parameter adjustment mode, the target parameter value is determined from each parameter adjustment range, and the initial running program is adjusted according to each parameter and its corresponding target parameter value to obtain the target running program.

[0141] S303. Generate a confirmation prompt based on the target program and the initial program, and output the confirmation prompt.

[0142] In this step, since the parameter adjustment process is imperceptible to the user, directly executing the target program might reduce the user's trust in the device. Therefore, after obtaining the target program, the garment processing device determines its performance advantages based on the program and outputs a confirmation prompt that includes these advantages. This increases the user's understanding of the target program and enhances the user's interactive experience. The specific process is as follows:

[0143] A comparative analysis is performed based on the target program and the initial program.

[0144] Based on the comparative analysis results, the performance advantage of the target program compared to the initial program is determined;

[0145] A confirmation prompt is generated based on the aforementioned performance advantages.

[0146] This embodiment does not limit the output format of the confirmation prompt. For example, the confirmation prompt can be displayed on the display interface of the clothing processing device, or the confirmation prompt can be broadcast.

[0147] S304. In response to user feedback based on confirmation prompts, execute the target running program.

[0148] In this step, after the garment processing device receives feedback from the user based on the confirmation prompt, it executes the target program in response to that feedback. Considering that the user might miss the confirmation prompt, a waiting time threshold is set to avoid excessively long wait times affecting the device's runtime. In other words, when the garment processing device outputs a confirmation prompt, and the waiting time for user feedback equals the waiting time threshold, the target program is executed directly.

[0149] This application provides a control method for a garment processing device. When the stacking of garments is normal, a parameter adjustment mode is determined based on the stacking density. The initial operating program is then adjusted according to the parameter adjustment mode to obtain a target operating program. A confirmation prompt incorporating the performance advantages of the target operating program is then output. Upon receiving user feedback based on the confirmation prompt, the target operating program is executed. This method ensures the processing quality and washing efficiency of different types of garments using the target operating program obtained based on the parameter adjustment mode, thereby improving the user experience.

[0150] Figure 4 This is a schematic diagram of a control device for a garment processing equipment provided in an embodiment of this application. The control device 40 is suitable for garment processing equipment equipped with an infrared sensor. Figure 4 As shown, the garment processing equipment control device 40 includes: an acquisition module 401, a determination module 402, and a control module 403, wherein:

[0151] The acquisition module 401 is used to determine the stacking information of the clothing based on the infrared data received by the infrared sensor when it detects that clothing is placed inside the clothing processing equipment drum and the drum door is switched to the closed state.

[0152] The determining module 402 is used to determine whether there is any abnormality in the stacking of the clothing based on the stacking information;

[0153] The control module 403 is used to generate a 3D stacking diagram based on the stacking information if an abnormality occurs, and to display the 3D stacking diagram on the display interface of the clothing processing device so that the user can adjust the placement of the clothing based on the 3D stacking diagram.

[0154] In one possible implementation, the determining module 402 is further configured to:

[0155] Based on the preset stacking parameter weight mapping relationship, the weight parameter of each stacking parameter in the stacking information is obtained;

[0156] Based on the stacking information and the weight parameters of each stacking parameter, the stacking score of the clothing is determined;

[0157] Based on the stacking score and the stacking information, determine whether there are any abnormalities in the stacking of the clothing.

[0158] In one possible implementation, the determining module 402 is further configured to:

[0159] If the stacking score is less than or equal to the scoring threshold, it is determined that the stacking of the clothing is abnormal;

[0160] If the stacking score is greater than the score threshold, then the allowable parameter range corresponding to each stacking parameter is obtained, and the allowable parameter range is corrected according to the stacking score;

[0161] If each stacking parameter is within the corrected allowable parameter range, then it is determined that the stacking of the clothing is not abnormal.

[0162] If there are abnormal stacking parameters that are not included in the corrected allowable parameter range, then the stacking of the clothing is determined to be abnormal.

[0163] In one possible implementation, the control module 403 is further configured to:

[0164] Analyze the stacking score or the abnormal stacking parameters, locate the abnormal region in the 3D stacking diagram, and mark the abnormal region in the 3D stacking diagram according to a preset method;

[0165] Based on the stacking score and the stacking information, generate text content indicating the stacking status of the clothing;

[0166] The text content and a 3D stacked diagram with markings are displayed on the display interface of the garment processing device.

[0167] In one possible implementation, the control module 403 is further configured to:

[0168] If the stacking of the clothing is not abnormal, the parameter adjustment mode is determined according to the stacking density;

[0169] Based on the parameter adjustment mode, the parameters of the initial running program are adjusted to obtain the target running program;

[0170] A confirmation prompt is generated based on the target program and the initial program, and the confirmation prompt is output.

[0171] In response to user feedback based on the confirmation prompt, the target program is executed.

[0172] In one possible implementation, the control module 403 is further configured to:

[0173] If the stacking density is greater than or equal to the first density, the parameter adjustment mode is determined according to the weight priority mode;

[0174] If the stacking density is less than the second density, the parameter adjustment mode is determined according to the volume priority mode;

[0175] If the stacking density is greater than or equal to the second density and less than the first density, then the parameter adjustment mode is determined according to the mixing mode, wherein the mixing mode indicates a mode in which parameter adjustment operations are performed in combination with the weight and volume of the garment.

[0176] In one possible implementation, the control module 403 is further configured to:

[0177] A comparative analysis is performed based on the target program and the initial program.

[0178] Based on the comparative analysis results, the performance advantage of the target program compared to the initial program is determined;

[0179] A confirmation prompt is generated based on the aforementioned performance advantages.

[0180] This embodiment provides a clothing processing equipment control device that can execute the clothing processing equipment control method provided in the above method embodiment. Its implementation principle and technical effect are similar, and will not be described in detail here.

[0181] Figure 5This is a schematic diagram of the structure of a garment processing device provided in an embodiment of this application. Figure 5 As shown, the garment processing device 50 includes a processor 501 and a memory 502 communicatively connected to the processor 501. Optionally, the garment processing device 50 further includes a communication component 503. The processor 501, memory 502, and communication component 503 are connected via a bus 504.

[0182] The memory 502 stores computer-executed instructions;

[0183] The processor 501 executes computer execution instructions stored in the memory 502 to implement the clothing processing equipment control method as described above.

[0184] At least one processor 501 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0185] Optionally, in specific implementations, the processor 501 and memory 502 are implemented independently. In this case, the processor 501 and memory 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc., but this does not imply that there is only one bus or one type of bus.

[0186] Optionally, in a specific implementation, if the processor 501 and the memory 502 are integrated on a single chip, the processor 501 and the memory 502 can communicate through an internal interface.

[0187] This application also provides a computer storage medium storing computer execution instructions, which, when executed by a processor, implement the aforementioned clothing processing equipment control method.

[0188] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The computer-readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0189] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Alternatively, the readable storage medium can be an integral part of the processor. Both the processor and the readable storage medium can reside in an Application Specific Integrated Circuit (ASIC). Alternatively, the processor and the readable storage medium can exist as discrete components in the control device of a garment handling apparatus.

[0190] The division of units described herein is merely a logical functional division. In actual implementation, there may be other division methods. For example, multiple units 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 indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0191] 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 network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0192] In addition, the functional units in the various embodiments of the present invention 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.

[0193] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. 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.

[0194] Those skilled in the art will understand that all or part of the steps of the above-described method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When executed, the program performs the steps of the above-described method embodiments; and the aforementioned storage medium includes various media capable of storing program code, such as ROM, RAM, magnetic disks, or optical disks.

[0195] The technical solutions of this application have been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it is readily understood by those skilled in the art that the scope of protection of this application is obviously not limited to these specific embodiments. The above embodiments are only used to illustrate the technical solutions of this application and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

Claims

1. A control method for a garment processing device, characterized in that, Applied to a garment processing device, the garment processing device being equipped with an infrared sensor, the method includes: When it is detected that clothes are placed inside the clothes handling equipment drum and the drum door is switched to the closed state, the stacking information of the clothes is determined based on the infrared data received by the infrared sensor. Determine whether there are any abnormalities in the stacking of the clothing based on the stacking information; If an anomaly is found, a 3D stacking diagram is generated based on the stacking information and displayed on the display interface of the clothing processing device so that the user can adjust the placement of the clothing based on the 3D stacking diagram.

2. The method according to claim 1, characterized in that, The step of determining whether there is an abnormality in the stacking of the clothing based on the stacking information includes: Based on the preset stacking parameter weight mapping relationship, the weight parameter of each stacking parameter in the stacking information is obtained; Based on the stacking information and the weight parameters of each stacking parameter, the stacking score of the clothing is determined; Based on the stacking score and the stacking information, determine whether there are any abnormalities in the stacking of the clothing.

3. The method according to claim 2, characterized in that, The step of determining whether there is an anomaly in the stacking of the clothing based on the stacking score and the stacking information includes: If the stacking score is less than or equal to the scoring threshold, it is determined that the stacking of the clothing is abnormal; If the stacking score is greater than the score threshold, then the allowable parameter range corresponding to each stacking parameter is obtained, and the allowable parameter range is corrected according to the stacking score; If each stacking parameter is within the corrected allowable parameter range, then it is determined that the stacking of the clothing is not abnormal. If there are abnormal stacking parameters that are not included in the corrected allowable parameter range, then the stacking of the clothing is determined to be abnormal.

4. The method according to claim 3, characterized in that, Displaying the 3D stacking diagram on the display interface of the garment processing equipment includes: Analyze the stacking score or the abnormal stacking parameters, locate the abnormal region in the 3D stacking diagram, and mark the abnormal region in the 3D stacking diagram according to a preset method; Based on the stacking score and the stacking information, generate text content indicating the stacking status of the clothing; The text content and a 3D stacked diagram with markings are displayed on the display interface of the garment processing device.

5. The method according to claim 1, characterized in that, The stacking information includes stacking density, and the method further includes: If the stacking of the clothing is not abnormal, the parameter adjustment mode is determined according to the stacking density; Based on the parameter adjustment mode, the parameters of the initial running program are adjusted to obtain the target running program; A confirmation prompt is generated based on the target program and the initial program, and the confirmation prompt is output. In response to user feedback based on the confirmation prompt, the target program is executed.

6. The method according to claim 5, characterized in that, The step of determining the parameter adjustment mode based on the stacking density includes: If the stacking density is greater than or equal to the first density, the parameter adjustment mode is determined according to the weight priority mode; If the stacking density is less than the second density, the parameter adjustment mode is determined according to the volume priority mode; If the stacking density is greater than or equal to the second density and less than the first density, then the parameter adjustment mode is determined according to the mixing mode, wherein the mixing mode indicates a mode in which parameter adjustment operations are performed in combination with the weight and volume of the garment.

7. The method according to claim 5, characterized in that, The step of generating a confirmation prompt based on the target program and the initial program includes: A comparative analysis is performed based on the target program and the initial program. Based on the comparative analysis results, the performance advantage of the target program compared to the initial program is determined; A confirmation prompt is generated based on the aforementioned performance advantages.

8. A control device for garment processing equipment, characterized in that, This is applied to clothing processing equipment, which is equipped with an infrared sensor and includes: an acquisition module, a determination module, and a control module, wherein: The acquisition module is used to determine the stacking information of the clothing based on the infrared data received by the infrared sensor when it detects that clothing is placed inside the clothing processing equipment drum and the drum door is switched to the closed state. The determining module is used to determine whether there is any abnormality in the stacking of the clothing based on the stacking information; The control module is used to generate a 3D stacking diagram based on the stacking information if an abnormality occurs, and to display the 3D stacking diagram on the display interface of the clothing processing device so that the user can adjust the placement of the clothing based on the 3D stacking diagram.

9. A garment processing device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the clothing processing equipment control method as described in any one of claims 1 to 7.

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