Method for operating a fabric treatment device, electronic device and fabric treatment device

Abstract

The present application relates to the technical field of fabric treatment method, and relates to a running control method of a fabric treatment device, an electronic device and the fabric treatment device.The method comprises the following steps: the fabric treatment device determines the material of the fabric to be washed based on a fabric material determination method, the fabric material determination method comprises the following steps: a first determination stage, the first determination stage is used for determining the material of the fabric in the fabric treatment cylinder for the first time before starting water feeding, and a first determination result is obtained; a second determination stage, the second determination stage comprises the following steps: controlling the fabric treatment device to enter a water feeding process, obtaining the water absorption parameter of the fabric in the fabric treatment cylinder, determining the material of the fabric for the second time according to the water absorption parameter, and obtaining a second determination result; the first determination stage and the second determination stage are cross-verified to determine the material of the fabric, the determination results of the fabric material in different dimensions are used to verify the visual features and physical properties of the fabric, and the accuracy of fabric material identification is greatly improved.

Description

Technical Field

[0001] This invention relates to the field of fabric treatment methods, and in particular to an operation control method for fabric treatment equipment, electronic equipment, and fabric treatment equipment. Background Technology

[0002] Current smart washing machines primarily rely on single parameters or sensors such as weight and water level for material identification, resulting in coarse recognition granularity and low accuracy. Research into incorporating image recognition for fabric classification is still in its early stages, and remains hampered by coarse recognition and low accuracy. Summary of the Invention

[0003] The technical problem to be solved by the present invention is that the identification of fabric materials in the prior art mainly relies on single parameters such as weight and water level, which has the problems of coarse identification granularity and low accuracy. To this end, the present invention provides an operation control method for fabric processing equipment, electronic equipment and fabric processing equipment.

[0004] The present invention aims to provide an operation control method for a fabric processing device, comprising: the fabric processing device determining the material of the fabric to be washed based on a fabric material determination method; and determining a washing mode and washing parameters according to the material of the fabric to be washed.

[0005] The method for determining the fabric material includes:

[0006] The first judgment stage is used to make a first judgment on the fabric material in the fabric treatment tube before the water intake begins, and to obtain a first judgment result.

[0007] The second judgment stage includes controlling the fabric processing equipment to enter the water inlet process, obtaining the fabric water absorption parameters in the fabric processing cylinder, making a second judgment on the fabric material based on the water absorption parameters, and obtaining a second judgment result.

[0008] The final fabric material is determined based on the first and second judgment results;

[0009] The step of determining the washing mode based on the material of the fabric to be washed includes: when the first judgment result and the second judgment result are consistent, controlling the fabric processing device to execute the first washing mode corresponding to the same judgment result; when the first judgment result and the second judgment result are inconsistent, controlling the fabric processing device to enter the second washing mode; the second washing mode is determined by comprehensive balancing based on the washing modes corresponding to the first judgment result and the second judgment result respectively.

[0010] If the first judgment result and the second judgment result are inconsistent, the first judgment result corresponds to the first washing mode, and the second judgment result corresponds to the third washing mode; the second washing mode is determined by comprehensive balancing based on the washing modes corresponding to the first judgment result and the second judgment result respectively, including: the washing parameters of the second washing mode are located between the washing parameters of the first washing mode and the washing parameters of the third washing mode.

[0011] In some embodiments, the first determination includes acquiring fabric material parameters by collecting an image of the fabric inside the fabric processing tube, and determining the first determination result based on the fabric material parameters.

[0012] In some embodiments, the fabric material parameters include one or more of texture complexity, surface reflectivity, and profile bulkiness;

[0013] Determining the first judgment result based on the fabric material parameters includes:

[0014] If the texture complexity is greater than the maximum value in the preset texture complexity range, the first judgment result is determined to be that the fabric material is wool or down jacket; if the texture complexity is within the preset texture complexity range, the first judgment result is determined to be that the fabric material is cotton; if the texture complexity is less than the minimum value in the preset texture complexity range, the first judgment result is determined to be that the fabric material is silk.

[0015] If the surface reflectance is less than the minimum value in the preset surface reflectance range, the first judgment result is determined to be that the fabric material is wool or down. If the surface reflectance is within the preset surface reflectance range, the first judgment result is determined to be that the fabric material is cotton. If the surface reflectance is greater than the maximum value in the preset surface reflectance range, the first judgment result is determined to be that the fabric material is silk.

[0016] If the outline loft is greater than the maximum value in the preset outline loft range, the first judgment result is determined to be that the fabric material is wool or down. If the outline loft is within the preset outline loft range, the first judgment result is determined to be that the fabric material is cotton. If the outline loft is less than the minimum value in the preset outline loft range, the first judgment result is determined to be that the fabric material is silk.

[0017] In some embodiments, the water absorption parameters include water absorption rate and / or saturated water absorption rate;

[0018] Wherein, the water absorption rate is the increase in weight of the fabric by water absorption per unit time, and the saturated water absorption rate is the ratio of the difference between the saturated weight of the fabric by water absorption and the dry weight of the fabric to the dry weight of the fabric.

[0019] In some embodiments, if the water absorption rate is greater than a preset water absorption rate and / or the saturated water absorption rate is greater than a preset saturated water absorption rate, the second determination result is that the fabric has high water absorption characteristics.

[0020] If the water absorption rate is less than or equal to the preset water absorption rate and / or the saturated water absorption rate is less than or equal to the preset saturated water absorption rate, the second judgment result is that the fabric has low water absorption characteristics.

[0021] In some embodiments, determining the final fabric material based on the first determination result and the second determination result includes:

[0022] If the first judgment result is that the fabric material is cotton, and the second judgment result is that the fabric has high water absorption characteristics, then the first judgment result and the second judgment result are consistent, and the final fabric material is cotton with high water absorption characteristics.

[0023] If the first judgment result is that the fabric material is cotton, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is cotton with low water absorption characteristics.

[0024] If the first judgment result is that the fabric material is silk, and the second judgment result is that the fabric has high water absorption properties, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is silk with high water absorption properties.

[0025] If the first judgment result is that the fabric material is silk, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are consistent, and the final fabric material is silk material with low water absorption characteristics.

[0026] If the first judgment result is that the fabric material is wool or down, and the second judgment result is that the fabric has high water absorption properties, then the first judgment result and the second judgment result are consistent, and the final fabric material is wool or down with high water absorption properties.

[0027] If the first judgment result is that the fabric material is wool or down, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is wool or down with low water absorption characteristics.

[0028] In some embodiments, determining the washing parameters based on the material of the fabric to be washed includes: determining the water injection volume n based on the final fabric material and the dry weight of the fabric in the fabric treatment drum;

[0029] Where n = G + (w0 × y), G represents the basic water content corresponding to the final fabric material, w0 represents the dry weight of the fabric in the fabric treatment tube, and y represents the saturated water absorption rate corresponding to the final fabric material.

[0030] In some embodiments, determining the washing parameters based on the material of the fabric to be washed further includes: determining the amount of fabric treatment agent to be added based on comprehensive parameters, wherein the comprehensive parameters include one or more of the final fabric material, the dry weight of the fabric in the fabric treatment drum, water quality parameters, and the degree of soiling.

[0031] The water quality parameters include water hardness, and the greater the water hardness, the greater the amount of fabric treatment agent added; the higher the degree of soiling, the greater the amount of fabric treatment agent added; the greater the dry weight of the fabric in the fabric treatment tube, the greater the amount of fabric treatment agent added; and the greater the water absorption parameter of the final fabric material, the greater the amount of fabric treatment agent added.

[0032] In some embodiments, an electronic device is provided, comprising:

[0033] Memory stores computer instructions;

[0034] A processor is used to invoke and execute the computer instructions to implement the above-mentioned operation control method for the fabric processing equipment.

[0035] In some embodiments, a fabric treatment apparatus is provided, comprising:

[0036] The above-described fabric processing equipment operation control method may be implemented, or may include the above-described electronic equipment.

[0037] The solution provided by this invention has the following advantages compared with the prior art:

[0038] By cross-validating the fabric material identification through the first and second judgment stages, and utilizing the judgment results from different dimensions, the visual characteristics and physical properties of the fabric are mutually verified, greatly improving the accuracy of fabric material identification and reducing the inaccuracies of determining the material based on a single factor. Furthermore, based on the initial material judgment result, this method further corrects the final fabric material identification using the second judgment result, better handling complex situations where images are difficult to distinguish. The fabric material identified by this method can be directly fed back into the fabric processing equipment, providing precise selection criteria for various modes of the fabric processing equipment in terms of water, electricity, and fabric treatment agent usage and control. Attached Figure Description

[0039] The accompanying drawings, as part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments and descriptions of the invention are used to explain the invention, but do not constitute an undue limitation of the invention. Obviously, the drawings described below are merely some embodiments, and those skilled in the art can obtain other drawings based on these drawings without creative effort. In the drawings:

[0040] Figure 1 This is one of the flowcharts of the fabric material determination method shown in the embodiments of the present invention;

[0041] Figure 2 This is the second flowchart of the fabric material determination method shown in the embodiment of the present invention;

[0042] Figure 3 This is the third flowchart of the fabric material determination method shown in the embodiment of the present invention.

[0043] It should be noted that these accompanying drawings and textual descriptions are not intended to limit the scope of the invention in any way, but rather to illustrate the concept of the invention to those skilled in the art by referring to specific embodiments. Detailed Implementation

[0044] In the description of this invention, it should be noted that the terms "inner" and "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limiting this invention.

[0045] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," "contact," and "communication" should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0046] Current smart washing machines primarily rely on single parameters or sensors for material identification, such as weight and water level, resulting in coarse granularity and low accuracy. Research into incorporating image recognition for fabric classification is still in its early stages, and remains hampered by coarse recognition and low accuracy. This leads to: 1. Insufficient or wasted fabric treatment agents: Heavy-duty materials like cotton and linen may lack sufficient detergent, while lightly soiled materials like silk may suffer waste and residue. 2. Fabric damage risk: Incorrect detergent type or concentration may damage delicate fabrics. 3. Water waste: The amount of water injected is not optimized based on the material's absorbency.

[0047] Based on this, the following embodiments are proposed.

[0048] Example 1:

[0049] like Figure 1 As shown, this embodiment provides an operation control method for a fabric processing device, including: the fabric processing device determining the material of the fabric to be washed based on a fabric material judgment method; and determining the washing mode and washing parameters according to the material of the fabric to be washed.

[0050] The method for determining the fabric material includes:

[0051] The first judgment stage is used to make a first judgment on the fabric material in the fabric treatment tube before the water intake begins, and to obtain a first judgment result.

[0052] The second judgment stage includes controlling the fabric processing equipment to enter the water inlet process, obtaining the fabric water absorption parameters in the fabric processing cylinder, making a second judgment on the fabric material based on the water absorption parameters, and obtaining a second judgment result.

[0053] The final fabric material is determined based on the first and second judgment results;

[0054] The step of determining the washing mode based on the material of the fabric to be washed includes: when the first judgment result and the second judgment result are consistent, controlling the fabric processing device to execute the first washing mode corresponding to the same judgment result; when the first judgment result and the second judgment result are inconsistent, controlling the fabric processing device to enter the second washing mode; the second washing mode is determined by comprehensive balancing based on the washing modes corresponding to the first judgment result and the second judgment result respectively.

[0055] If the first judgment result and the second judgment result are inconsistent, the first judgment result corresponds to the first washing mode, and the second judgment result corresponds to the third washing mode; the second washing mode is determined by comprehensive balancing based on the washing modes corresponding to the first judgment result and the second judgment result respectively, including: the washing parameters of the second washing mode are located between the washing parameters of the first washing mode and the washing parameters of the third washing mode.

[0056] In this embodiment, the final fabric material is determined through a first-stage and second-stage verification method, which further improves the accuracy of fabric material determination. Preferably, the first determination result includes the fabric surface material. Specifically, the first-stage fabric material determination method can be a preliminary determination of the fabric surface material by image acquisition or by other methods such as spectral detection. The second determination stage serves as a verification stage for the first determination result. The second determination stage obtains the fabric water absorption parameters inside the fabric treatment drum and makes a second determination of the fabric material based on the water absorption parameters. That is, the second determination result focuses on determining the fabric material. The final fabric material is determined based on the two determination results. For example, if the two determination results are consistent, the entire washing process is executed according to the washing mode, water intake, drying mode, dehydration mode, fabric treatment agent dosage, etc., corresponding to the two determination results. This can reduce the waste or insufficiency of fabric treatment agent, the risk of fabric damage, and the waste of water resources caused by inaccurate fabric material determination. For example, if the two judgment results are inconsistent, the second judgment result shall be used as the main verification basis. Combined with the initial dry weight of the fabric, the fabric material shall be verified and judged, and relevant parameters such as washing mode, water intake, drying mode, dehydration mode, and fabric treatment agent dosage shall be dynamically adjusted so that the relevant parameters are between the parameters corresponding to the first judgment result and the parameters corresponding to the second judgment result, thereby dynamically adjusting the optimal water intake and fabric treatment agent dosage.

[0057] The fabric material identification method proposed in this embodiment cross-validates the fabric material identification through a first and second identification stage. Utilizing the identification results from different dimensions of the fabric material, it cross-verifies the visual features and physical properties of the fabric, greatly improving the accuracy of fabric material identification and reducing the inaccuracies of determining the material based on a single factor. Furthermore, based on the initial material identification result, this method further corrects the final fabric material identification using the second identification result, better handling complex situations where images are difficult to distinguish, such as wet fabrics and special fabrics. The fabric material identified by this method can be directly fed back into the fabric processing equipment, providing precise selection criteria for the use and control of water, electricity, and fabric processing agents, enabling the selection of various modes for the fabric processing equipment.

[0058] In this embodiment, as Figure 2 As shown, determining the washing mode based on the material of the fabric to be washed includes: when the first judgment result and the second judgment result are consistent, controlling the fabric processing device to execute the first washing mode corresponding to the same judgment result; when the first judgment result and the second judgment result are inconsistent, controlling the fabric processing device to enter the second washing mode; the second washing mode is determined by comprehensive balancing based on the washing modes corresponding to the first judgment result and the second judgment result respectively.

[0059] Furthermore, if the first judgment result and the second judgment result are inconsistent, the first judgment result corresponds to the first washing mode, and the second judgment result corresponds to the third washing mode;

[0060] The second washing mode is determined by a comprehensive balance based on the washing modes corresponding to the first and second judgment results, respectively, including: the washing parameters of the second washing mode are located between the washing parameters of the first washing mode and the washing parameters of the third washing mode.

[0061] In this embodiment, the following example illustrates the situation where the results of two determinations regarding the fabric material are inconsistent:

[0062] The first judgment indicates the fabric is cotton or linen, but the second judgment, calculated from data obtained by the weight sensor and water level sensor, shows a very low water absorption rate. This may be because the fabric is a coated synthetic fiber or a down jacket, leading to a discrepancy between the two judgments. In this case, to protect fabric quality, a universal washing mode suitable for both materials is selected. When the image's pre-judgment of cotton / linen differs from the sensor's confirmation of synthetic fiber, the system selects a "universal / mixed" washing mode. The core idea of ​​this mode is to take the union of conservative parameters to ensure safety for the more delicate material (in this case, synthetic fiber) while striving to clean the more soiled fabric (in this case, cotton / linen).

[0063] The table below compares the washing parameters for single cotton / linen, single synthetic fiber, and both / mixed fiber modes.

[0064]

[0065] In this embodiment, by selecting and executing a second washing mode, which is determined by a comprehensive balance based on the washing modes corresponding to the first and second judgment results respectively, the washing parameters of the second washing mode are located between the washing parameters of the first washing mode and the washing parameters of the third washing mode. This avoids the damage to clothes that may be caused by selecting only the first washing mode (such as heavy washing) and also avoids the poor washing effect that may be caused by selecting only the third washing mode (such as gentle washing). It balances the core need for washing and removing stains with the additional need for protecting clothes, and greatly improves the error tolerance of material recognition.

[0066] Compared to washing modes that rely entirely on the accuracy of a single recognition result, where any deviation in the recognition result directly leads to incorrect selection of washing parameters and consequently causes washing problems, this embodiment mitigates the impact of errors from a single recognition result through a comprehensive and balanced second washing mode. Even if there are deviations between the two judgment results, the compromised parameters will not result in extreme washing control, making the selection of washing parameters more error-tolerant. This reduces the high-precision requirements of the washing machine on the recognition device and method, and also reduces washing malfunctions caused by recognition errors, balancing the technical implementation difficulty and practical stability of the product.

[0067] Optionally, in one implementation of this embodiment, the first determination includes acquiring fabric material parameters by collecting an image of the fabric inside the fabric processing tube, and determining the first determination result based on the fabric material parameters.

[0068] In this embodiment, image acquisition involves a miniature camera located on the washing machine door or inner drum taking one or more photos of the fabric inside the drum. After image acquisition, the washing machine's processor processes the images for recognition, extracts key features, and uses a pre-trained machine learning model, such as a convolutional neural network (CNN), to classify the fabric material and estimate the approximate proportion of different materials in the total load. Finally, the material with the largest proportion is taken as the fabric surface material, and the first judgment result is output.

[0069] The fabric material identification method proposed in this embodiment addresses the shortcomings of existing smart washing machines in terms of material recognition accuracy, resource delivery precision, and adaptive control. This method improves the reliability of material identification by obtaining a second judgment result about the fabric material based on image recognition pre-judgment and sensor data, and then verifying the first judgment result through cross-validation, greatly improving the accuracy of fabric material identification. Based on the identified material type, weight, and water volume, the optimal amount and type of fabric treatment agent are dynamically calculated to achieve precise and personalized detergent and fabric softener delivery. The optimal water injection amount is calculated based on the total water absorption of the fabric material and the basic water volume required for washing, avoiding waste and optimizing water resource utilization. Subsequent delivery, washing, dehydration, and drying are then tailored to the final fabric material, resulting in a more targeted washing cycle.

[0070] The fabric material identification method proposed in this embodiment covers the characteristics of fabric materials from multiple dimensions, overcoming the limitations of single-method identification. It divides the core attributes of fabric materials into external surface features and internal properties. The first stage rapidly identifies the external features of the fabric through image acquisition. The second stage reflects the hydrophilicity / hydrophobicity of internal fibers and the distribution of pores between fibers through water absorption parameters, such as water absorption rate, water absorption volume, and saturation water absorption time. The combination of these two stages forms a comprehensive identification dimension that considers both external features and internal properties, avoiding the blind spots of single-method identification. For example, the surface texture and spectral characteristics of simulated cotton fabrics are highly similar to those of natural cotton, but the hydrophilicity / hydrophobicity and water absorption rate of its internal fibers differ significantly from those of natural cotton. Verification using water absorption parameters can accurately distinguish between them. Waterproof cotton fabrics, due to the hydrophobic coating on the surface, are easily misidentified as synthetic fibers by single-surface detection. However, the internal cotton fibers remain hydrophilic. The second stage can penetrate the interference of the surface coating to restore the essential characteristics of the material.

[0071] Optionally, in one implementation of this embodiment, the fabric material parameters include one or more of texture complexity, surface reflectivity, and outline bulkiness;

[0072] Determining the first judgment result based on the fabric material parameters includes:

[0073] If the texture complexity is greater than the maximum value in the preset texture complexity range, the first judgment result is determined to be that the fabric material is wool or down jacket; if the texture complexity is within the preset texture complexity range, the first judgment result is determined to be that the fabric material is cotton; if the texture complexity is less than the minimum value in the preset texture complexity range, the first judgment result is determined to be that the fabric material is silk.

[0074] If the surface reflectance is less than the minimum value in the preset surface reflectance range, the first judgment result is determined to be that the fabric material is wool or down. If the surface reflectance is within the preset surface reflectance range, the first judgment result is determined to be that the fabric material is cotton. If the surface reflectance is greater than the maximum value in the preset surface reflectance range, the first judgment result is determined to be that the fabric material is silk.

[0075] If the outline loft is greater than the maximum value in the preset outline loft range, the first judgment result is determined to be that the fabric material is wool or down. If the outline loft is within the preset outline loft range, the first judgment result is determined to be that the fabric material is cotton. If the outline loft is less than the minimum value in the preset outline loft range, the first judgment result is determined to be that the fabric material is silk.

[0076] In this embodiment, texture complexity is used to quantify the roughness, irregularity, and detail richness of an image texture. Fabric materials exhibit high texture complexity, such as wool or down jackets. Wool fibers are curled, and the surface has a fluffy texture, resulting in irregular, high-contrast textures in the image. Down jackets have extremely high texture complexity due to the complex wrinkles and shadows caused by fabric stitching and the fluffy internal filling. Fabric materials have medium texture complexity, such as cotton. Cotton fabric has a clear warp and weft texture, but the surface is relatively smooth. Fabric materials have low texture complexity, such as silk. Silk has a smooth surface and a fine, uniform texture.

[0077] Surface reflectivity is used to quantify the gloss or reflectivity of a fabric surface. Fabric materials have...

[0078] Low reflectivity fabrics, such as wool or down jackets, have low reflectivity. Wool absorbs light and has a matte finish. Down jackets often use nylon or polyester fabrics, which are mostly matte or have a low sheen. Fabrics with low to medium reflectivity, such as cotton, are typically matte, although some treated cotton fabrics may have a slight sheen. Fabrics with high reflectivity, such as silk, have a unique luster and exhibit significant specular reflection and highlight areas under light.

[0079] Outline bulkiness is used to quantify the degree of looseness and expansion of the fabric material within the roller.

[0080] Fabrics with medium to high loft, such as wool and down jackets, are characterized by their extremely high loft, which is their most prominent feature. They take up a lot of space and have a rounded, full silhouette. Fabrics with low to medium loft, such as cotton, are characterized by their close-fitting nature, while cotton T-shirts and towels have a higher loft. Fabrics with low loft, such as silk, are characterized by their lightness, softness, and close-fitting nature.

[0081] The washing machine processor can obtain the first judgment result by analyzing the range of material parameters on the fabric surface.

[0082] Optionally, in one implementation of this embodiment, the water absorption parameters include water absorption rate and / or saturated water absorption rate; wherein, the water absorption rate is the amount of weight increase of the fabric by water absorption per unit time, and the saturated water absorption rate is the ratio of the difference between the saturated water absorption weight of the fabric and the dry weight of the fabric to the dry weight of the fabric.

[0083] Specifically, if the water absorption rate is greater than a preset water absorption rate and / or the saturated water absorption rate is greater than a preset saturated water absorption rate, the second judgment result is that the fabric has high water absorption characteristics; if the water absorption rate is less than or equal to a preset water absorption rate and / or the saturated water absorption rate is less than or equal to a preset saturated water absorption rate, the second judgment result is that the fabric has low water absorption characteristics.

[0084] In this embodiment, the water absorption parameters can be detected using existing components in the fabric processing equipment, such as water level sensors, weight sensors, and inlet flow meters, without the need to add special hardware such as optical material sensors. The structure is simple and the cost is low.

[0085] In the second judgment stage, water intake begins and sensors monitor the process in real time. The washing machine's mainboard controls the water inlet valve to open, initiating water injection. During this process, three sensors work collaboratively:

[0086] Inlet flow sensor: Records the cumulative inlet water volume (V_in).

[0087] Water level sensor: Real-time monitoring of changes in water level (H) inside the cylinder.

[0088] Weight sensor: Real-time monitoring of fabric weight changes (W_current).

[0089] The washing machine's mainboard calculates based on sensor data:

[0090] Real-time water absorption rate: (W_current - W_dry) / time, where W_dry is the dry weight of the fabric.

[0091] Saturated water absorption rate: When the water level is stable and no large amount of water replenishment is needed, the saturated water absorption rate is calculated as (W_saturated - W_dry) / W_dry, where W_saturated is the saturated weight.

[0092] The aforementioned water absorption parameters objectively reflect the water absorption properties of the fabric. In this embodiment, the second judgment result is determined by the aforementioned water absorption parameters. For example, if the fabric has a high water absorption rate and a high water absorption percentage, and the saturated weight is significantly higher than the dry weight, then the fabric is cotton or a heavy type of material, such as pure cotton shirts or towels. This type of fabric is a highly absorbent and heat-resistant fabric. On the other hand, if the fabric has a low water absorption rate and a low water absorption percentage, and the saturated weight is not much different from the dry weight, then the fabric is silk, chemical fiber, or down jacket type of material. This type of fabric is a low-absorbency fabric. This achieves a secondary judgment on the material type of the fabric. The second judgment result divides the fabric into high-absorbency and low-absorbency characteristics, providing basic data for the second stage judgment. Furthermore, the classification of fabrics into high and low absorbency characteristics based on water absorption characteristics is simpler and more direct, avoiding problems such as misjudgment caused by the identification of multiple types of materials. It can accurately verify the first judgment result from different dimensions.

[0093] Optionally, in one implementation of this embodiment, determining the final fabric material based on the first judgment result and the second judgment result includes:

[0094] If the first judgment result is that the fabric material is cotton, and the second judgment result is that the fabric has high water absorption characteristics, then the first judgment result and the second judgment result are consistent, and the final fabric material is cotton with high water absorption characteristics.

[0095] If the first judgment result is that the fabric material is cotton, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is cotton with low water absorption characteristics.

[0096] If the first judgment result is that the fabric material is silk, and the second judgment result is that the fabric has high water absorption properties, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is silk with high water absorption properties.

[0097] If the first judgment result is that the fabric material is silk, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are consistent, and the final fabric material is silk material with low water absorption characteristics.

[0098] If the first judgment result is that the fabric material is wool or down, and the second judgment result is that the fabric has high water absorption properties, then the first judgment result and the second judgment result are consistent, and the final fabric material is wool or down with high water absorption properties.

[0099] If the first judgment result is that the fabric material is wool or down, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is wool or down with low water absorption characteristics.

[0100] In this embodiment, both the consistency and inconsistency of the two judgment results are based on the fabric processing equipment determining the washing mode and washing parameters according to the material of the fabric to be washed, providing more accurate basic data.

[0101] Optionally, in one implementation of this embodiment, determining the washing parameters based on the material of the fabric to be washed includes: determining the water injection volume n based on the final fabric material and the dry weight of the fabric in the fabric treatment drum;

[0102] Where n = G + (w0 × y), G represents the basic water content corresponding to the final fabric material, w0 represents the dry weight of the fabric in the fabric treatment tube, and y represents the saturated water absorption rate corresponding to the final fabric material.

[0103] In this embodiment, the water injection volume n is designed as n = G + (w0 × y). Based on the basic water volume G, an additional water volume w0 × y that can be absorbed by the fabric is added according to the water absorption of the final fabric material. This ensures that the fabric can be completely submerged and roll freely, while avoiding ineffective water injection.

[0104] Optionally, in one implementation of this embodiment, determining the washing parameters based on the material of the fabric to be washed further includes: determining the amount of fabric treatment agent to be added based on comprehensive parameters, wherein the comprehensive parameters include one or more of the final fabric material, the dry weight of the fabric in the fabric treatment drum, water quality parameters, and the degree of soiling.

[0105] The water quality parameters include water hardness, and the greater the water hardness, the greater the amount of fabric treatment agent added; the higher the degree of soiling, the greater the amount of fabric treatment agent added; the greater the dry weight of the fabric in the fabric treatment tube, the greater the amount of fabric treatment agent added; and the greater the water absorption parameter of the final fabric material, the greater the amount of fabric treatment agent added.

[0106] In this embodiment, the dosage of fabric treatment agent is determined by comprehensive parameters, making the dosage more accurate. Specifically, the higher the water hardness, the greater the detergent dosage. Calcium and magnesium ions in hard water combine with surfactants in detergent to form water-insoluble soap scum, thus consuming and reducing the concentration of effective cleaning ingredients. Adding more detergent overcomes water hardness to achieve the same cleaning effect. Fabric weight (W_dry) is the dry weight of the fabric. The greater the fabric weight, the greater the detergent dosage. More fabric means a larger surface area to be cleaned, and typically a greater total amount of stains, requiring more detergent to ensure effective cleaning. Higher levels of soiling also require a greater detergent dosage; stubborn stains such as oil and sweat require higher concentrations of active enzymes and surfactants for decomposition and emulsification.

[0107] The concentration / dosage required for detergents specifically designed for silk and wool is generally lower than that for strong-duty detergents. Detergents for silk and wool are neutral or slightly acidic, with gentle formulations and a lower concentration of cleaning agents designed to avoid damaging protein fibers. In contrast, strong-duty detergents for cotton and linen typically contain high concentrations of alkaline ingredients and enzymes, requiring larger doses to achieve their powerful cleaning effect.

[0108] The heavier the fabric, the more fabric softener is needed, similar to detergent, as it involves a larger total amount of fibers. Ultimately, fabrics with high absorbency, such as natural fibers like cotton and towels, require more softener than less absorbent synthetic fibers like chemical fibers and nylon. Cotton, linen, and towels have more hydrophilic groups and a rougher structure on their fiber surfaces, allowing softener to adhere better and fill the fibers, making them soft and fluffy. Therefore, a relatively larger amount is needed. Chemical fibers are already quite smooth and have poor absorbency, making it difficult for softener to adhere. Excessive use may leave residue on the fiber surface, affecting breathability and moisture absorption, and even causing the fabric to become slippery.

[0109] Example 2

[0110] This embodiment provides an electronic device, including a memory and a processor. The memory is used to store computer instructions, and the processor is used to call and execute the computer instructions to implement the operation control method of the fabric processing equipment in Embodiment 1.

[0111] In this embodiment, since the electronic device includes the operation control method of the fabric processing equipment in Embodiment 1, the electronic device has all the beneficial effects of the operation control method of the fabric processing equipment in Embodiment 1.

[0112] like Figure 3 As shown, the processor executes computer instructions to implement the fabric material determination method in Embodiment 1, including:

[0113] Steps 1-2: User closes hatch → Image acquisition and initial weighing

[0114] After the user closes the washing machine door, the system automatically initiates two parallel operations:

[0115] Initial weighing: Slight shaking of the inner cylinder ensures even fabric distribution, and the weight sensor acquires a stable initial dry weight (W_dry). The initial dry weight (W_dry) serves as the basis for quantitative calculations.

[0116] First judgment stage:

[0117] Image acquisition: A miniature camera located on the hatch or inner cylinder takes one or more photographs of the fabric inside the cylinder. Weighing and image acquisition are performed almost simultaneously, providing raw data for subsequent judgment.

[0118] Step 3: Image Recognition Preprocessing

[0119] The system processes the acquired images and extracts key features. Color analysis: Determines the depth of fabric color to predict the risk of color fading. Texture and gloss analysis: This is the core of material recognition. The algorithm analyzes the texture features of the image (such as the fuzziness of wool, the warp and weft texture of cotton, and the smooth reflection of silk) and contour features (such as the fluffy contour of a down jacket).

[0120] Step 4: Preliminary judgment based on image recognition

[0121] Based on the features extracted during preprocessing, a pre-trained machine learning model (such as a convolutional neural network CNN) is used to classify fabric materials and estimate the approximate proportion of different materials in the total load. One or more material labels with the highest probability are output (e.g., 80% probability of wool, 15% probability of silk). Based on this initial judgment, the process enters different pre-selected branches. For example, if silk / wool is identified as the main material, the process flows to the pre-selected path for silk and wool-specific detergents.

[0122] Second judgment stage: Inlet water verification and correction

[0123] Steps 5-7: Start water intake and monitor in real time.

[0124] The washing machine's mainboard controls the water inlet valve to open, initiating water filling. During this process, three sensors work together: a flow meter to record the cumulative water intake (V_in), a water level sensor to monitor changes in the water level (H) inside the drum in real time, and a weight sensor to monitor changes in the fabric weight (W_current) in real time.

[0125] This stage is crucial for obtaining the true physical properties of the fabric.

[0126] Step 8: Sensor Data Verification

[0127] The system calculates key indicators based on sensor data.

[0128] Real-time water absorption rate: (W_current - W_dry) / time.

[0129] Saturated water absorption rate: When the water level is stable and no further replenishment of water is needed, calculate (W_saturated - W_dry) / W_dry. The calculated value objectively reflects the water absorption of the fabric and is a standard for verifying image recognition results.

[0130] Step 9: Compare the image prediction results from the first stage with the sensor data from this stage.

[0131] Scenario 1: Consistent

[0132] Performance: If the image is identified as "cotton / linen," the sensor data shows a high absorbency rate and a high saturation absorbency. Alternatively, if the image is identified as "silk," the sensor data shows a low absorbency rate and a low saturation absorbency.

[0133] Decision: This indicates that the image recognition is accurate, and the system confirms the initial judgment. The process then proceeds to the "confirmation" path.

[0134] Pattern matching:

[0135] Steps 10-11: Calculate the optimal parameters

[0136] Based on the final confirmed material information, whether it is the confirmed or corrected initial weight (W_dry), the system calls the internal algorithm model to calculate the usage of the three key resources.

[0137] First, optimal water injection amount: Base water volume, the minimum amount of water that ensures the fabric can be completely submerged and tumble freely in its initial state. Material absorbency: Based on the finally confirmed material absorbency, the additional amount of water that can be absorbed by the fabric. Formula logic: Total water volume = Base water volume + (W_dry × Material specific absorbency), avoiding ineffective water injection.

[0138] Second, detergent dosage: This is calculated based on the fabric weight (W_dry), water hardness, degree of soiling, and detergent type. Heavily soiled cotton and linen require significantly more detergent than lightly soiled silk. The amount of fabric softener needed is generally related to fabric weight and fiber type (e.g., towels require more, while synthetic fibers require less).

[0139] Step 12: Perform precise dosing and water injection.

[0140] The washing machine's mainboard controls the intelligent dispensing system to precisely pump in the specified type and dosage of detergent and fabric softener based on calculated amounts. The water inlet valve continues to operate until the water level reaches the calculated optimal fill level, at which point it closes.

[0141] Steps 13-14: After the material is loaded, the system calls a washing program that is perfectly matched to the material. This program may include water temperature, washing intensity, number of rinses, and particularly important dehydration parameters such as spin speed, time, and forward / reverse rotation frequency, to complete the entire intelligent washing process.

[0142] Example 3

[0143] This embodiment provides a fabric processing device that executes the operation control method of the fabric processing device in Embodiment 1, or includes the electronic device in Embodiment 2.

[0144] In this embodiment, since the fabric processing equipment implements the operation control method of the fabric processing equipment in Embodiment 1, or includes the electronic equipment in Embodiment 2, the fabric processing equipment has all the beneficial effects of the operation control method of the fabric processing equipment in Embodiment 1, or the electronic equipment in Embodiment 2, which will not be elaborated further.

[0145] In summary, the ingenious design of the operation control method for fabric processing equipment lies in:

[0146] First, by cross-validating the fabric material judgment through the first and second judgment stages, and utilizing the judgment results from different dimensions of fabric material, the visual characteristics and physical properties of the fabric are mutually verified, greatly improving the accuracy of fabric material identification and reducing the inaccuracies of judging the material based on a single factor. Simultaneously, based on the initial judgment result, this judgment method further corrects the final fabric material judgment using the second judgment result, better handling complex situations where images are difficult to distinguish. The fabric material identified by this judgment method can be directly fed back into the fabric processing equipment, providing a precise basis for selecting various modes in the use and control of water, electricity, and fabric treatment agents. When the first and second judgment results are inconsistent, the fabric processing equipment will select a washing parameter between the washing parameters of the corresponding washing modes of the two results. The core idea of ​​this mode is to take the union of conservative parameters to ensure safety for more delicate materials while striving to clean more soiled fabrics.

[0147] Secondly, by covering the characteristics of fabric materials in multiple dimensions, the limitations of single-dimensional judgment are overcome. The core attributes of fabric materials are divided into external surface features and internal properties. The first stage uses image acquisition to quickly identify the external features of the fabric; the second stage uses water absorption parameters, such as water absorption rate, water absorption amount, and saturation water absorption time, to reflect the hydrophilicity / hydrophobicity of internal fibers and the distribution of pores between fibers. The combination of these two approaches forms a comprehensive judgment dimension that considers both external features and internal properties, avoiding the blind spots of single-dimensional judgment methods.

[0148] It can be further understood that in this disclosure, "many" refers to two or more, and other quantifiers are similar. "And / or" describes the relationship between related objects, indicating that three relationships can exist; for example, A and / or B can represent: A alone, A and B simultaneously, and B alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. The singular forms "a," "the," and "the" are also intended to include the plural forms unless the context clearly indicates otherwise.

[0149] It is further understood that the terms "first," "second," etc., are used to describe various types of information, but this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another, and do not indicate a specific order or degree of importance. In fact, the expressions "first," "second," etc., are completely interchangeable. For example, without departing from the scope of this disclosure, first information can also be referred to as second information, and similarly, second information can also be referred to as first information.

[0150] It is further understood that although operations are described in a specific order in the accompanying drawings in the embodiments of this disclosure, this should not be construed as requiring these operations to be performed in the specific order or serial order shown, or requiring all of the shown operations to be performed to obtain the desired result. In certain environments, multitasking and parallel processing may be advantageous.

[0151] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0152] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for controlling the operation of a fabric processing device, characterized in that, include: The fabric processing equipment determines the material of the fabric to be washed based on a fabric material determination method; The washing mode and washing parameters are determined according to the material of the fabric to be washed; The method for determining the fabric material includes: The first judgment stage is used to make a first judgment on the fabric material in the fabric treatment tube before the water intake begins, and to obtain a first judgment result. The second judgment stage includes controlling the fabric processing equipment to enter the water inlet process, obtaining the fabric water absorption parameters in the fabric processing cylinder, making a second judgment on the fabric material based on the water absorption parameters, and obtaining a second judgment result. The final fabric material is determined based on the first and second judgment results; The step of determining the washing mode based on the material of the fabric to be washed includes: when the first judgment result and the second judgment result are consistent, controlling the fabric processing device to execute the first washing mode corresponding to the same judgment result; when the first judgment result and the second judgment result are inconsistent, controlling the fabric processing device to enter the second washing mode; the second washing mode is determined by comprehensive balancing based on the washing modes corresponding to the first judgment result and the second judgment result respectively. If the first judgment result and the second judgment result are inconsistent, the first judgment result corresponds to the first washing mode, and the second judgment result corresponds to the third washing mode; the second washing mode is determined by comprehensive balancing based on the washing modes corresponding to the first judgment result and the second judgment result respectively, including: the washing parameters of the second washing mode are located between the washing parameters of the first washing mode and the washing parameters of the third washing mode. The first judgment includes acquiring fabric material parameters by collecting an image of the fabric inside the fabric processing tube, and determining the first judgment result based on the fabric material parameters. The fabric material parameters include one of texture complexity, surface reflectivity, and outline bulkiness; Determining the first judgment result based on the fabric material parameters includes: If the texture complexity is greater than the maximum value in the preset texture complexity range, the first judgment result is determined to be that the fabric material is wool or down jacket; if the texture complexity is within the preset texture complexity range, the first judgment result is determined to be that the fabric material is cotton; if the texture complexity is less than the minimum value in the preset texture complexity range, the first judgment result is determined to be that the fabric material is silk. If the surface reflectance is less than the minimum value in the preset surface reflectance range, the first judgment result is determined to be that the fabric material is wool or down. If the surface reflectance is within the preset surface reflectance range, the first judgment result is determined to be that the fabric material is cotton. If the surface reflectance is greater than the maximum value in the preset surface reflectance range, the first judgment result is determined to be that the fabric material is silk. If the outline loft is greater than the maximum value in the preset outline loft range, the first judgment result is determined to be that the fabric material is wool or down. If the outline loft is within the preset outline loft range, the first judgment result is determined to be that the fabric material is cotton. If the outline loft is less than the minimum value in the preset outline loft range, the first judgment result is determined to be that the fabric material is silk.

2. The operation control method for the fabric processing equipment according to claim 1, characterized in that, The water absorption parameters include water absorption rate and / or saturated water absorption rate; Wherein, the water absorption rate is the increase in weight of the fabric by water absorption per unit time, and the saturated water absorption rate is the ratio of the difference between the saturated weight of the fabric by water absorption and the dry weight of the fabric to the dry weight of the fabric.

3. The operation control method for the fabric processing equipment according to claim 2, characterized in that, If the water absorption rate is greater than the preset water absorption rate and / or the saturated water absorption rate is greater than the preset saturated water absorption rate, the second judgment result is that the fabric has high water absorption characteristics. If the water absorption rate is less than or equal to the preset water absorption rate and / or the saturated water absorption rate is less than or equal to the preset saturated water absorption rate, the second judgment result is that the fabric has low water absorption characteristics.

4. The operation control method for the fabric processing equipment according to claim 3, characterized in that, The step of determining the final fabric material based on the first judgment result and the second judgment result includes: If the first judgment result is that the fabric material is cotton, and the second judgment result is that the fabric has high water absorption characteristics, then the first judgment result and the second judgment result are consistent, and the final fabric material is cotton with high water absorption characteristics. If the first judgment result is that the fabric material is cotton, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is cotton with low water absorption characteristics. If the first judgment result is that the fabric material is silk, and the second judgment result is that the fabric has high water absorption properties, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is silk with high water absorption properties. If the first judgment result is that the fabric material is silk, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are consistent, and the final fabric material is silk material with low water absorption characteristics. If the first judgment result is that the fabric material is wool or down, and the second judgment result is that the fabric has high water absorption properties, then the first judgment result and the second judgment result are consistent, and the final fabric material is wool or down with high water absorption properties. If the first judgment result is that the fabric material is wool or down, and the second judgment result is that the fabric has low water absorption characteristics, then the first judgment result and the second judgment result are inconsistent, and the final fabric material is wool or down with low water absorption characteristics.

5. The operation control method for the fabric processing equipment according to claim 1, characterized in that, The step of determining the washing parameters based on the material of the fabric to be washed includes: determining the water injection volume n based on the final fabric material and the dry weight of the fabric in the fabric treatment drum; Where n = G + (w0 × y), G represents the basic water content corresponding to the final fabric material, w0 represents the dry weight of the fabric in the fabric treatment tube, and y represents the saturated water absorption rate corresponding to the final fabric material.

6. The operation control method for the fabric processing equipment according to claim 1, characterized in that, The step of determining the washing parameters based on the material of the fabric to be washed further includes: determining the amount of fabric treatment agent to be added based on comprehensive parameters, wherein the comprehensive parameters include one or more of the final fabric material, the dry weight of the fabric in the fabric treatment drum, water quality parameters, and the degree of soiling. The water quality parameters include water hardness, and the greater the water hardness, the greater the amount of fabric treatment agent added; the higher the degree of soiling, the greater the amount of fabric treatment agent added; the greater the dry weight of the fabric in the fabric treatment tube, the greater the amount of fabric treatment agent added; and the greater the water absorption parameter of the final fabric material, the greater the amount of fabric treatment agent added.

7. An electronic device, characterized in that, include: Memory stores computer instructions; A processor for calling and executing the computer instructions to implement the operation control method of the fabric processing equipment as described in any one of claims 1-6.

8. A fabric treatment device, characterized in that, include: The method for controlling the operation of the fabric processing equipment as described in any one of claims 1-6, or including the electronic equipment as described in claim 7.

Images