A control method and control system of a laundry treating apparatus, and a laundry treating apparatus

Abstract

The present application provides a kind of clothes processing equipment control method, control system and clothes processing equipment, control method includes in the process of clothes processing equipment operation, obtain the image of clothes in inner tube;According to the image of clothes, determine the spatial distribution state parameter of clothes;According to the spatial distribution state parameter of clothes, determine whether there is fold in clothes;When there is no fold in clothes, control clothes processing equipment continues to run according to current program;When there is fold in clothes, continue to determine anti-wrinkle strategy according to the spatial distribution state parameter of clothes, and control clothes processing equipment runs according to anti-wrinkle strategy;It can be in the window period when clothes is still in local folding, curling or winding state but fold has not yet completely solidified, identify the spatial distribution anomaly of clothes and carry out anti-wrinkle intervention, effectively reduce the time of local continuous folding and continuous pressure of clothes, thereby reduce the probability of final wrinkle formation, give consideration to anti-wrinkle effectiveness and operating efficiency.

Description

Technical Field

[0001] This invention belongs to the field of clothing processing technology, and particularly relates to a control method, control system and clothing processing equipment for clothing processing equipment. Background Technology

[0002] During washing, rinsing, spin-drying, drying, or conditioning processes, washing machines rotate the inner drum, causing clothes to tumble, shake, or disperse. For easily wrinkled garments such as shirts, thin cotton clothing, synthetic fiber clothing, and bed sheets, the spatial distribution of the clothes within the inner drum affects the degree of wrinkling after the cycle ends. When clothes are locally gathered, layered, rolled, or tangled, those areas tend to remain folded and under continuous pressure for a longer period, causing the fibers to deform along the creases, thus forming more noticeable wrinkles.

[0003] Existing wrinkle-prevention solutions for garment processing equipment include adjusting dehydration or drying parameters based on the garment's moisture content, controlling airflow during the drying stage, periodically flipping the garments after the program ends, or using fixed forward and reverse rotation for shaking. These solutions can reduce stacking or tangling to some extent, but the control is mostly based on moisture content, drying stage, preset time, or fixed program parameters.

[0004] However, while moisture content can reflect the overall dryness of clothing, it cannot distinguish whether clothing is evenly spread out or locally curled and tangled. The drying stage and air volume control mainly address the issues of heat exchange efficiency and air volume matching, but cannot directly determine whether clothing has local folds, curled edges, or long-term adherence, which are prone to wrinkles. Although a fixed forward and reverse rotation rhythm can promote the movement of clothing, it is difficult to effectively intervene at the critical stage of wrinkle formation due to the lack of judgment on the actual spatial distribution of clothing. Summary of the Invention

[0005] In view of this, the present invention provides a control method, a control system, and a garment processing device to solve the problem that existing anti-wrinkle control schemes cannot accurately identify the state of existing or soon-to-be-cured creases at the critical stage of crease formation, thus failing to specifically disrupt the formation conditions before the creases stabilize and resulting in poor anti-wrinkle effect.

[0006] This invention provides a control method for a garment processing device, the garment processing device including an inner drum; during the operation of the garment processing device, the control method includes: Acquire an image of the clothing inside the inner drum; Based on the image of the clothing, determine the spatial distribution parameters of the clothing; Based on the spatial distribution parameters of the clothing, determine whether the clothing has creases; When the garment has no creases, the garment processing equipment continues to operate according to the current program; When the garment has creases, the anti-wrinkle strategy is determined based on the spatial distribution parameters of the garment, and the garment processing equipment is controlled to operate according to the anti-wrinkle strategy. The anti-wrinkle strategy includes adjusting at least one of the following operating parameters: rotation speed, direction of rotation, and rotation timing of the inner cylinder, so that the inner cylinder operates according to anti-wrinkle operating parameters different from the current program operating parameters.

[0007] Further optionally, the spatial distribution state parameters of the clothing include at least one of the following: number of local folds, rate of change of unfolded area, degree of edge curling, and duration of morphological stability. Wherein, the number of local folds represents the number of times the same area of ​​the garment is repeatedly folded per unit time, the rate of change of unfolded area represents the magnitude of the change in the unfolded area of ​​the garment per unit time, the degree of edge curling represents the ratio of the edge curling length to the total length of the garment, and the duration of morphological stability represents the duration of the creases on the garment.

[0008] Further optionally, determining whether the clothing has creases based on the spatial distribution parameters of the clothing includes: Based on the spatial distribution parameters of the clothing, determine the crease risk parameters of the clothing; Based on the crease risk parameters of the garment, determine whether the garment has creases; The crease risk parameter of the clothing is used to characterize the risk of the clothing forming stable creases under the current spatial distribution.

[0009] Further optionally, determining the crease risk parameter of the clothing based on the spatial distribution parameters of the clothing includes: The initial value of the crease risk parameter is calculated based on the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability. Calculate the corrected value of the crease risk parameter based on the initial value and correction factor of the crease risk parameter; The correction factor is used to correct the garment's ability to retain creases under different moisture conditions.

[0010] Further optionally, the correction factor is positively correlated with the overall moisture content of the clothing; when the overall moisture content of the clothing is within a preset moisture content range, the correction factor is 1; when the overall moisture content of the clothing is less than the minimum threshold of the preset moisture content range, the correction factor is less than 1; when the overall moisture content of the clothing is greater than the maximum threshold of the preset moisture content range, the correction factor is greater than 1.

[0011] Further optionally, the calculation of the initial value of the crease risk parameter based on the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability includes: The number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability are normalized respectively to obtain the proportion of the number of local folds, the proportion of the rate of change of unfolded area, the proportion of the degree of edge curling, and the proportion of the duration of morphological stability. The initial value of the crease risk parameter is obtained by weighting the proportion of local folding times, the proportion of unfolded area change rate, the proportion of edge curling degree, and the proportion of shape stabilization time, as well as the weights corresponding to the proportion of local folding times, the proportion of unfolded area change rate, the proportion of edge curling degree, and the proportion of shape stabilization time.

[0012] Further optionally, the normalization processing of the local fold count, unfolded area change rate, edge curling degree, and morphological stability duration to obtain the proportions of local fold count, unfolded area change rate, edge curling degree, and morphological stability duration includes: The ratio of the number of local folds is obtained by comparing the number of local folds with the preset maximum number of folds. The unfolded area change rate is compared with the preset maximum area change rate to obtain the unfolded area change rate ratio; The edge curling degree is compared with the preset maximum curling degree to obtain the edge curling degree ratio; The morphological stability duration is compared with the preset maximum stability duration to obtain the morphological stability duration ratio.

[0013] Further optionally, determining whether the clothing has creases based on the crease risk parameter of the clothing includes: The crease risk level of the garment is determined based on the crease risk parameters of the garment. Based on the crease risk level of the garment, determine whether the garment has creases.

[0014] Further optionally, determining the crease risk level of the clothing based on the crease risk parameter of the clothing includes: Determine the preset folding risk parameter range in which the correction value of the crease risk parameter falls; The crease risk level of the garment is determined based on the preset crease risk parameter range in which the correction value of the crease risk parameter falls.

[0015] Further optionally, the crease risk level includes low, lower, medium, and high; determining whether the clothing has creases based on the crease risk level includes: When the risk level of the crease is low, it is determined that the garment does not have any creases; The garment is determined to have creases when the crease risk level is any of low, medium, or high.

[0016] Further optionally, when the garment has creases, determining the anti-wrinkle strategy based on the crease risk level of the garment includes: When the risk level of creases in the garment is low, the anti-wrinkle strategy is to first reduce the rotation speed of the inner drum to the first anti-wrinkle speed, and then make the inner drum rotate in the manner of "rotating forward at the first anti-wrinkle speed, pausing, reversing the first anti-wrinkle speed, and pausing again" within the anti-wrinkle cycle. When the risk level of creases in the garment is medium, the anti-wrinkle strategy is to first rotate the inner drum in a manner of "normal operating speed forward, pause, and normal operating speed reverse" during the anti-wrinkle cycle, and then rotate the inner drum in a manner of "reducing the normal operating speed to the second anti-wrinkle speed with deceleration acceleration, and then increasing the speed from the second anti-wrinkle speed to the normal operating speed with acceleration acceleration". When the risk level of creases in the garment is high, the anti-wrinkle strategy is to first stop the inner drum from rotating or reduce the rotation speed of the inner drum to the third anti-wrinkle speed during the anti-wrinkle cycle, then rotate the inner drum in the manner of "rotating continuously or intermittently in the opposite direction of the third anti-wrinkle speed, and the angle of the reverse rotation is a preset angle", and then shake the inner drum at the third anti-wrinkle speed. The higher the risk level of the crease, the greater the degree of folding of the garment and the longer the duration of the crease; the first anti-wrinkle speed is lower than the speed of the inner drum during normal operation, the second anti-wrinkle speed is lower than the first anti-wrinkle speed, and the third anti-wrinkle speed is lower than the second anti-wrinkle speed; the anti-wrinkle strategy includes changing at least one of the following: the speed of the inner drum, the direction of the speed, the rotation-to-stop ratio, and the range of the rotation angle.

[0017] Further optionally, after controlling the garment processing equipment to operate according to the anti-wrinkle strategy, the control method further includes: Reacquire images of the clothing in the inner drum and redetermine the spatial distribution parameters of the clothing to determine whether the clothing has creases. When the garment has no creases, control the garment processing equipment to operate according to the original program; When the garment has creases, the anti-wrinkle strategy should be re-determined; The garment processing equipment is controlled to operate according to the newly determined anti-wrinkle strategy until the garment is free of creases.

[0018] The present invention also provides a control system for a garment processing device, the garment processing device including an inner drum; the control system includes: The image acquisition module is used to acquire images of the clothes in the inner drum during normal operation of the garment processing equipment and after the anti-wrinkle strategy is implemented. The spatial distribution state parameter analysis module is used to determine the spatial distribution state parameters of the clothing based on the image of the clothing. The crease risk parameter analysis module is used to determine the crease risk parameters of the clothing based on the spatial distribution parameters of the clothing. The crease presence and anti-wrinkle strategy analysis module is used to determine whether the garment has creases and the anti-wrinkle strategy when the garment has creases based on the crease risk parameters of the garment. The control module is used to control the garment processing device to continue operating according to the current program when there are no creases in the garment, to control the garment processing device to operate according to the anti-wrinkle strategy when there are creases in the garment, and to control the image acquisition module to re-acquire the image of the garment in the inner drum after the garment processing device has been operating normally under the anti-wrinkle strategy. The spatial distribution parameters of the garment include at least one of the following: number of local folds, rate of change of unfolded area, degree of edge curling, and duration of morphological stability. The number of local folds represents the number of times the same area of ​​the garment is repeatedly folded per unit time. The rate of change of unfolded area represents the magnitude of the change in the unfolded area of ​​the garment per unit time. The degree of edge curling represents the ratio of the edge curling length to the total length of the garment. The duration of morphological stability represents the duration of the creases on the garment.

[0019] The present invention also provides a garment processing device, wherein the garment processing device adopts the control method of the garment processing device described in any of the above claims, or includes the control system of the garment processing device described in the above claims.

[0020] Compared with the prior art, the main advantages of the present invention are as follows: It can identify spatial distribution anomalies in clothing and intervene in wrinkle prevention before stable creases form, that is, during the window period when clothing is still partially folded, rolled, or wrapped but the creases have not yet fully solidified. This effectively reduces the time of continuous folding and pressure on clothing, thereby reducing the probability of final wrinkle formation. It also improves the recovery effect of clothing distribution, taking into account both wrinkle prevention effectiveness and operational efficiency. Attached Figure Description

[0021] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0022] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0023] Figure 1 This is a schematic flowchart of an embodiment of the control method for the clothing processing equipment provided by the present invention; Figure 2 A schematic diagram of the control system of the garment processing equipment provided by the present invention; Detailed Implementation The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” used in the embodiments of this invention and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. “Multiple” generally includes at least two, but does not exclude the inclusion of at least one.

[0025] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0026] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a product or system comprising a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a product or system. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the product or system that includes said element.

[0027] During washing, rinsing, spin-drying, drying, or conditioning processes, washing machines rotate the inner drum to tumble, beat, or shake the clothes. For easily wrinkled garments such as shirts, thin cotton clothes, synthetic fiber clothes, and bed sheets, the spatial distribution of the clothes in the inner drum affects the degree of wrinkles after the cycle ends. Existing anti-wrinkle solutions for garment handling equipment can reduce stacking or tangling to some extent, but they cannot accurately identify existing or soon-to-solidify creases at the critical stage of wrinkle formation. Therefore, they cannot specifically disrupt the formation conditions before stable creases are formed, resulting in poor anti-wrinkle effects. This invention creatively provides a control method for a garment processing device, comprising: acquiring an image of garments in the inner drum during the operation of the garment processing device; determining spatial distribution state parameters of the garments based on the image; determining whether creases exist in the garments based on the spatial distribution state parameters; controlling the garment processing device to continue operating according to the current program when no creases exist; and continuing to determine an anti-wrinkle strategy based on the spatial distribution state parameters of the garments when creases exist, and controlling the garment processing device to operate according to the anti-wrinkle strategy. This method can identify abnormal spatial distribution of garments and intervene in anti-wrinkle measures before stable crease formation, i.e., during the window period when the garments are still partially folded, curled, or tangled but the creases have not yet fully solidified. This effectively reduces the time of continuous local folding and pressure on the garments, thereby reducing the probability of final crease formation. It improves the recovery effect of garment distribution, balancing anti-wrinkle effectiveness and operational efficiency.

[0028] Example 1 <Control Methods> like Figure 1 As shown, this embodiment provides a control method for a garment processing device. The garment processing device includes an inner drum, a drive motor, a control module, and an image acquisition module. The drive motor and the inner drum are driven together, and the control module and the drive motor are communicatively connected. The control module is used to control the drive motor to drive the inner drum to rotate. The drive motor can control the inner drum to rotate in a single forward direction, a single reverse direction, alternate between forward and reverse rotation, pause, increase speed, decrease speed, and rotate at a large rotation angle. During the operation of the garment processing equipment, the control methods include: S1. Obtain an image of the clothes inside the inner drum; The control module acquires images of clothes in the inner drum according to a preset detection cycle. The detection cycle can be set according to the current running program. For example, it can detect images of clothes in the inner drum during the low-speed tumbling stage, the intermittent dehydration stage, the stage before dehydration acceleration, the drying tumbling stage, or the care shaking stage. The image acquisition module is set at the opening of the inner drum, the door seal, or the visible area inside the inner drum to acquire images of the clothes in the inner drum, including the surface outline, edge distribution, texture, and coverage area of ​​the clothes. This invention does not strictly limit the image acquisition module, as long as it can acquire images of the clothes inside the inner drum; an RGB camera is preferred because: It is necessary to analyze the spatial morphological features of clothing, such as the outline, edge distribution, local overlapping areas, and coverage area. Compared with components such as infrared sensors and photoelectric sensors that can only acquire local signals, RGB cameras can directly acquire the two-dimensional distribution of clothing in the entire visible area, which is more conducive to recognizing features such as folds, clusters, and curls. In one embodiment, a CMOS camera with a resolution of 1 million to 5 million pixels can be used and installed at the door seal, near the observation window, or in the visible area inside the inner tube to acquire images of the clothing in conjunction with a supplementary lighting device; the control module extracts the clothing outline boundary, edge curve, coverage area, and spatial distribution changes between consecutive frames through image processing algorithms, thereby calculating the spatial distribution state parameters mentioned below. For some high-end models, RGB-D depth cameras, ToF depth sensors, or binocular vision solutions can be used to obtain three-dimensional spatial information of clothing; compared with ordinary RGB cameras, the recognition accuracy of overlapping areas and folding layers can be further improved. Therefore, considering cost, implementation difficulty, and detection effect, an RGB camera is preferred as the image acquisition component, while a depth vision solution can be used as a further optimized implementation method.

[0029] The control module determines the clothing coverage area, edge length, edge curvature, and local overlapping area based on the clothing image. Specifically, the control module does not directly obtain the above parameters, but first performs contour extraction and edge analysis on the image, and then calculates the corresponding state variables. Taking an image captured by an RGB camera as an example, the clothing area is first separated from the inner background using an image segmentation method to obtain the clothing outline area; the total number of pixels contained inside the clothing outline can be used as the clothing coverage area; for example, if the clothing area obtained after segmentation is 7000 pixels, then the coverage area is recorded as 7000. Edge length is obtained by extracting the outline boundary of the clothing; the control module counts the edge length point by point along the outline boundary. For example, if the total edge length of the detected outline is 1000 pixels, then the edge length is recorded as 1000. The degree of edge curvature is obtained by analyzing the edge curvature; the control module divides the edge of the clothing into multiple continuous boundary segments and calculates the curvature angle or curvature change of each boundary segment; when a certain edge segment shows obvious inward curling, ring curvature or continuous large curvature change, it is determined to be a curled edge; for example, if the total edge length is 1000 pixels, and the curled edge length is 500 pixels, then the degree of edge curling can be represented as 0.5; Local overlapping areas are identified through contour occlusion relationships and texture changes; when clothing is folded, the same area usually exhibits overlapping boundaries, dense textures, or abrupt changes in brightness; the control module identifies overlapping areas based on these features and counts their number and area; for example, if four independent overlapping areas are detected, they can be used to calculate the number of local folds F=4.

[0030] S2. Determine the spatial distribution parameters of the clothing based on the images of the clothing. S3. Determine whether there are creases in the clothing based on the spatial distribution parameters of the clothing. S4. When there are no creases in the clothing, control the clothing processing equipment to continue operating according to the current program; When there are creases in the clothing, continue to determine the anti-wrinkle strategy based on the spatial distribution parameters of the clothing, and control the clothing processing equipment to operate according to the anti-wrinkle strategy; The anti-wrinkle strategy includes: adjusting at least one of the following operating parameters: the inner drum's rotation speed, direction of rotation, and rotation timing, so that the inner drum operates according to anti-wrinkle operating parameters that are different from the current program operating parameters; the current program operating parameters refer to the preset combination of parameters such as rotation speed, direction of rotation, and rotation timing that the inner drum follows when the garment processing equipment executes the current garment processing program (such as a washing program, a spin-drying program, a drying program, etc.); the anti-wrinkle operating parameters are different from the current program operating parameters, meaning that there are differences between the two in at least one aspect of rotation speed, direction of rotation, and rotation timing.

[0031] In this way, the following technical effects can be achieved: (1) The feature of “acquiring images of clothes in the inner drum” enables non-contact and real-time perception of the actual physical form of clothes in the inner drum; and the feature of “determining the spatial distribution parameters of clothes based on the images of clothes” transforms image information into quantifiable spatial distribution representation data; thus, it can directly capture abnormal spatial distribution states such as local aggregation, stacking, curling or entanglement of clothes during the operation of the inner drum, rather than relying on indirect parameters such as moisture content and running time for inference; compared with the existing technology that only intervenes after the program ends or at fixed nodes, it can be identified when clothes are in an abnormal distribution state, thus providing an accurate and timely basis for subsequent intervention; (2) The feature of “determining whether there are creases in clothing based on the spatial distribution parameters of clothing” establishes a direct judgment logic from the spatial distribution state to the existence of creases. The spatial distribution parameters themselves are directly related to the physical state of clothing, such as the degree of folding, curling, and adhesion. The formation of creases is closely related to the continuous existence of these states over time. Therefore, this judgment step can directly reflect whether the clothing is currently in the physical conditions for crease formation, rather than relying on indirect indicators such as moisture content or drying stage, which have no direct causal relationship with crease formation, as in existing technologies. As a result, the basis for control decisions is upgraded from “indirect speculation” to “direct judgment”, which improves the accuracy and pertinence of anti-wrinkle control. (3) The feature of "determining whether there are creases in the clothing" and the subsequent branch control steps of "when there are no creases in the clothing, control the clothing processing equipment to continue to run according to the current program; when there are creases in the clothing, continue to determine the anti-wrinkle strategy according to the spatial distribution state parameters of the clothing, and control the clothing processing equipment to run according to the anti-wrinkle strategy" constitute a dual-branch control logic based on the crease determination result. This logic clearly distinguishes the control action into two different intensity response strategies: "maintaining operation when there are no creases" and "anti-wrinkle intervention when there are creases". Compared with the single processing method such as fixed rhythm flipping and fixed parameter adjustment in the existing technology, it realizes the hierarchical matching of control action and actual crease state of clothing, avoids unnecessary intervention when there are no creases (saving energy consumption and shortening program time), and also ensures that targeted actions can be started in time when there are creases. (4) The closed-loop process of “acquiring an image → determining the spatial distribution state parameters → determining whether there are creases and anti-wrinkle strategies → executing control according to the judgment result” itself constitutes a repeatable loop control framework. After the anti-wrinkle strategy is executed once, the method can continue to be executed in the clothing processing process according to a preset cycle. That is, after each anti-wrinkle action, the image is acquired again, the crease is re-determined whether it still exists, and the subsequent control action is adjusted according to the new judgment result (continue the current program or execute the anti-wrinkle strategy again). Thus, a closed-loop feedback mechanism of “perception-judgment-execution-re-perception” is formed, which can continuously correct the control strategy according to the dynamic changes in the spatial distribution state of the clothing, so that the clothing gradually restores a uniform distribution state through repeated adjustments.

[0032] Furthermore, the spatial distribution parameters of the clothing include at least one of the following: number of local folds, rate of change of unfolded area, degree of edge curling, and duration of morphological stability. Among them, the number of local folds represents the number of times the same area of ​​the clothing is repeatedly folded per unit time, the rate of change of unfolded area represents the magnitude of change of unfolded area of ​​the clothing per unit time, the degree of edge curling represents the ratio of the edge curling length to the total length of the clothing, and the duration of morphological stability represents the duration of the creases on the clothing. It should be noted that the above parameters characterize the crease formation conditions from four dimensions: degree of folding, degree of aggregation, degree of curling constraint, and duration of continuous pressure, which can comprehensively reflect the risk of stable creases forming on clothing. This invention is not limited to the above four parameters. Its core lies in the quantitative evaluation of the spatial distribution state of clothing and the crease formation conditions. Therefore, without departing from the inventive concept of this invention, the spatial distribution state parameters of clothing may also include parameters with the same characterizing effect, such as the degree of local accumulation, the degree of clothing dispersion, the degree of entanglement, and the duration of pressure.

[0033] The following provides a further explanation of step S3, which includes: S31. Determine the crease risk parameters of clothing based on the spatial distribution parameters of clothing. S32. Based on the crease risk parameters of clothing, determine whether the clothing has creases and the anti-wrinkle strategy when the clothing has creases; Among them, the crease risk parameter of clothing is used to characterize the risk of clothing forming stable creases under the current spatial distribution.

[0034] Furthermore, S31 includes: S311. Calculate the initial value of the crease risk parameter based on the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability. S312. Calculate the corrected value of the crease risk parameter based on the initial value and correction factor. Among them, the correction factor is used to correct the ability of clothing to retain creases under different moisture conditions; Specifically, the correction factor is positively correlated with the overall moisture content of the clothing; when the overall moisture content of the clothing is within the preset moisture content range, the correction factor is 1; when the overall moisture content of the clothing is less than the minimum threshold of the preset moisture content range, the correction factor is less than 1; when the overall moisture content of the clothing is greater than the maximum threshold of the preset moisture content range, the correction factor is greater than 1.

[0035] That is, the number of local folds F: determined based on the number of times the same area is repeatedly folded in the image, such as when the clothing outlines intersect, the texture is dense, the edges overlap, or in a continuous image; the larger F is, the more layers of clothing are folded in a limited space; when the inner tube rotates, these layers are squeezed against each other, and the fold lines are repeatedly bent; therefore, F reflects the number and density of possible fold locations. The rate of change in unfolded area, A, is calculated by the change in the area covered by clothing during a continuous testing period. For example, it is the ratio of the unfolded area in the current testing period to the unfolded area in the previous testing period. If the area continues to decrease, it indicates that the clothing has changed from loose to clumped, the internal space is compressed, and the friction and compression between layers are increased, making it difficult to unfold naturally. Therefore, A can reflect the trend of clothing clumping. The degree of edge curling, C, is determined by the curvature of the garment's edge, its tendency to close, the length of the curl back towards the center, or the overlapping area. After the edge curls, it is easy to wrap around the main body or other garments, forming a structure similar to a knot or loop, which hinders unfolding when turning over and makes it difficult to untangle the local folds. Therefore, C represents the degree of constraint caused by the entanglement and curling of the garment. The duration of morphological stability, T, is determined based on the similarity of the spatial distribution of clothing across multiple testing cycles. If the areas of aggregation, folding, or curling remain unchanged for a long time, it indicates that the folding morphology is stable. The formation of creases is not only related to folding but also depends on their duration. The longer the time, the easier it is for fibers to undergo irreversible deformation along the fold line. Therefore, T is a key factor in assessing whether creases are likely to form stably.

[0036] The following provides a further explanation of step S311, which includes: S3111. Normalize the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability to obtain the proportions of the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability. Convert the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability into dimensionless risk factors in the range of 0 to 1, eliminate dimensional differences, and uniformly characterize their relative contribution to crease risk. S3112. The initial value of the crease risk parameter is obtained by weighting the proportion of local folding times, the proportion of unfolded area change rate, the proportion of edge curling degree, and the proportion of morphological stability duration, as well as the weights corresponding to the proportion of local folding times, the proportion of unfolded area change rate, the proportion of edge curling degree, and the proportion of morphological stability duration.

[0037] Furthermore, S3111 includes: The local fold count is compared with the preset maximum fold count to obtain the local fold count ratio F', which represents the relative level of the current folding degree; The unfolded area change rate is compared with the preset maximum area change rate to obtain the unfolded area change rate ratio A'; in fact, the unfolded area change rate itself is a ratio, but it can be further normalized based on the theoretical maximum value (such as 1.0); The edge curling degree is compared with the preset maximum curling degree to obtain the edge curling degree ratio C'; the edge curling degree is the ratio of the curled edge length to the total edge length, and the preset maximum curling degree is usually taken as 1.0; therefore, the edge curling degree ratio is equal to the edge curling degree. The stable duration of the pattern is compared with the preset maximum stable duration to obtain the stable duration ratio T'. The preset maximum stable duration is, for example, 10 preset cycles. The stable duration ratio indicates the risk level of the current pattern duration. The initial value of the crease risk parameter is the weighted sum of the above four parameters after normalization: a*F'+b*A'+c*C'+d*T'; Among them, the weighting coefficients a, b, c, and d reflect the degree of influence of each factor on crease formation, satisfying the following: a+b+c+d=1; the weighting coefficients can be obtained through experimental calibration, for example, by fitting the optimal allocation ratio based on the evaluation data of the actual degree of crease under different working conditions. The corrected value for the crease risk parameter WRI is (a*F'+b*A'+c*C'+d*T')*M; The correction factor M does not participate in the above weighted summation. Instead, it is used to correct the fiber's ability to retain creases under different humidity conditions after the initial value of the crease risk parameter is calculated. Since wet fibers are more likely to form and retain creases under pressure, clothing with high moisture content should have a higher risk of creases under the same folding condition. As clothing gradually dries, the plasticity of the fibers decreases, and the probability of forming stable creases under the same folding condition decreases. For example: when the moisture content is greater than 40%, M can be 1.2; when the moisture content is 20% to 40%, M can be 1.0; when the moisture content is less than 20%, M can be 0.8; the calculated values ​​are F'=0.7, A'=0.6, C'=0.5, and T'=0.8. Let a = 0.2, b = 0.2, c = 0.2, d = 0.4; If the current moisture content is 50%, and M = 1.2, then the corrected value of the crease risk index is: (a*F'+b*A'+c*C'+d*T')*M = (0.2×0.7+0.2×0.6+0.2×0.5+0.4×0.8)×1.2 = 0.816; If the current moisture content drops to 8%, and M=0.6, then the corrected value of the crease risk index is: (a*F'+b*A'+c*C'+d*T')*M=(0.2×0.7+0.2×0.6+0.2×0.5+0.4×0.8)×0.6=0.408; This indicates that, under the same folding conditions, wet clothing has a higher risk of creases than dry clothing. Therefore, M can reflect the difference in fiber crease retention ability under different moisture contents.

[0038] The following provides a further explanation of step S32, which includes: S321. Determine the crease risk level of clothing based on the crease risk parameters of clothing; the crease risk parameters reflect the comprehensive risk level of clothing forming stable creases, and the larger the value, the higher the risk of crease formation. S322. Determine whether the clothing has creases based on the crease risk level of the clothing.

[0039] Furthermore, S321 includes: S3211. Determine the preset folding risk parameter range in which the correction value of the crease risk parameter is located; S3212. Determine the crease risk level of clothing based on the preset crease risk parameter range in which the correction value of the crease risk parameter falls.

[0040] Specifically, the risk levels of creases are categorized as low, lower, medium, and high. The preset folding risk parameter range includes the first range, the second range, the third range, and the fourth range; the first range is (0, W0), the second range is [W0, W1), the third range is [W1, W2), and the fourth range is [W3, +∞). When WRI is less than W0, the crease risk level is low; this indicates that the clothing is relatively evenly distributed in space, or that although there is a short-term fold, it is not under continuous pressure. The control module continues to execute the original program and maintains monitoring. When WRI is greater than or equal to W0, the crease risk level is one of low, medium, or high; this indicates that crease risk has appeared in the spatial distribution of the clothing, and the control module enters the anti-wrinkle control process, classifying the risk level according to the range of WRI. To avoid single-detection errors, the control module can require WRI to exceed W0 in multiple consecutive detection cycles, or require at least two of the following factors—the number of local folds, the degree of edge curling, and the time to morphological stabilization—to meet the conditions before triggering control.

[0041] In some specific implementations, taking the drying stage of a drum washer-dryer as an example, the following preset threshold values ​​for folding risk parameters are set: W0=0.35, W1=0.50, W2=0.70, W3=0.85; The corrected value for the crease risk parameter, WRI, is: WRI = (0.2F' + 0.2A' + 0.2C' + 0.3T') * M; The weighting coefficients are set according to the degree of influence of each parameter on crease formation, with the duration of morphological stability accounting for the highest proportion, reflecting the key role of continuous pressure in crease solidification. First test: F'=0.20, A'=0.30, C'=0.15, T'=0.10, M=1; The calculated value is: WRI = (0.2 × 0.20 + 0.2 × 0.30 + 0.2 × 0.15 + 0.3 × 0.10) * 1 = 0.16; Since 0.16 < 0.35, the threshold for entry has not been reached, and the risk level of creases is determined to be low. The system will maintain the current drying program and will not perform any additional anti-wrinkle actions. Second test: F'=0.60, A'=0.70, C'=0.55, T'=0.50, M=1; The calculated WRI is: WRI = (0.2 × 0.60 + 0.2 × 0.70 + 0.2 × 0.55 + 0.3 × 0.50) * 1 = 0.52; Since 0.50 ≤ 0.52 < 0.70, the risk level of the crease is determined to be medium. Third test: F'=0.90, A'=0.85, C'=0.80, T'=0.95, M=1.2; The calculated WRI is: WRI = (0.2 × 0.90 + 0.2 × 0.85 + 0.2 × 0.80 + 0.3 × 0.95) * 1.2 = 0.954; Since 0.954 ≥ 0.85, the risk level of creases is determined to be high.

[0042] Step S322, determining whether the clothing has creases based on the crease risk level, includes: When the crease risk level is low, it is determined that the garment does not have any creases; When the crease risk level is any of low, medium, or high, the garment is determined to have creases. Among them, when the crease risk level is low, it means that the clothing has slightly gathered or partially folded for a short time; at this time, the crease has not yet been stably formed, and the main goal is to redistribute the clothing through low-intensity movements; when the crease risk level is medium, it means that the clothing has obvious tangling, edge curling, or partial failure to unfold; at this time, a certain constraint has been formed between the clothing, and it is necessary to untangle the clothing by changing the direction and the acceleration and deceleration rhythm; when the crease risk level is high, it means that the clothing has been in a state of long-term folding and pressure or tangling; at this time, the fold line has a tendency to stabilize, and it is necessary to release the pressure and redistribute the clothing through stronger control.

[0043] In step S4, when the garment has creases, the wrinkle prevention strategy is determined based on the crease risk level of the garment, including: When the risk level of creases in clothing is low, the control objective is to restore the even distribution of clothing creases and prevent slight aggregation from developing into tangling. The anti-wrinkle strategy is to first reduce the rotation speed of the inner drum to the first anti-wrinkle speed to reduce centrifugal adhesion, and then rotate the inner drum in the anti-wrinkle cycle according to the pattern of "first anti-wrinkle speed forward, pause, first anti-wrinkle speed reverse, and then pause again". This changes the force direction of the local folded areas, allowing the slightly folded positions to be opened during subsequent flipping. This can increase the unfolded area of ​​the clothing, reduce the number of local folds, and interrupt the shape stabilization time. For example, the first anti-wrinkle speed is 60% to 80% of the normal operating speed. When the risk level of garment creases is medium, the control objective is to remove obvious tangling and curling constraints. Simply slowing down the garment is usually insufficient to open the already formed tangled structure. Therefore, the anti-wrinkle strategy is to first rotate the inner drum at the normal operating speed, pause, and then rotate it in reverse at the normal operating speed during the anti-wrinkle cycle. Then, the inner drum is rotated at a deceleration rate from the normal operating speed to the second anti-wrinkle speed, and then at an acceleration rate from the second anti-wrinkle speed back to the normal operating speed. Alternatively, the anti-wrinkle strategy includes adjusting the frequency of the inner drum's forward and reverse rotation, changing the acceleration and deceleration rhythm, and introducing intermittent shaking to loosen the accumulation of garments and alleviate local folds. Alternating forward and reverse rotation causes the garment to be pulled in opposite directions, and the changes in acceleration and deceleration create relative displacement between the garment and the inner drum, thereby breaking the adhesion and tangling, changing the friction state between the garment layers, and providing an opportunity for the pressed edges or folded layers to detach. When the risk level of creases in clothing is high, the anti-wrinkle strategy is to first stop the inner drum from rotating or reduce its rotation speed to the third anti-wrinkle speed during the anti-wrinkle cycle. This allows the clothing to break free from continuous centrifugal adhesion, releasing the pressure from the drum wall, the layers of clothing, and the wrapped areas, creating conditions for subsequent re-layout. Then, the inner drum rotates continuously or intermittently in the opposite direction of the third anti-wrinkle speed, with the reverse rotation angle being a preset angle. This significantly changes the overall position of the clothing, causing the inner folded areas to turn out and the pressed edges to detach from the wrapping. Next, the inner drum shakes at the third anti-wrinkle speed, causing the clothing to fall and unfold multiple times, thereby breaking the continuous pressure on the fold lines. Alternatively, the anti-wrinkle strategy may include pausing heating, releasing the pressure of the drum on the clothing, performing large-angle reversal (e.g., 180° or more), and low-speed repeated shaking to maximize the disassembly of folds and prevent creases from solidifying. In other words, pausing eliminates continuous pressure, changing the direction of force on the fold lines through reverse movement, and restoring the unfolded area of ​​the clothing through low-speed shaking.

[0044] Among them, the higher the level of crease risk, the greater the degree of folding of the garment and the longer the duration of the crease; the first anti-wrinkle speed is lower than the speed when the inner drum is running normally, the second anti-wrinkle speed is lower than the first anti-wrinkle speed, and the third anti-wrinkle speed is lower than the second anti-wrinkle speed; the anti-wrinkle strategy includes changing at least one of the following: the speed of the inner drum, the direction of the speed, the rotation-to-stop ratio, and the range of rotation angles. In this way, through multi-level risk identification and graded response, the anti-wrinkle control has been upgraded from passive operation to active intervention. It can dynamically adjust the anti-wrinkle strategy according to the level of crease risk, and significantly improve the smoothness of the garment after treatment while ensuring drying efficiency.

[0045] The control module can also limit the rotation intensity and duration based on the crease risk level; when the crease risk level is low, the risk duration is the shortest; when the crease risk level is medium, the number of control direction changes is moderate; when the crease risk level is high, the control allows pauses and large-angle reversals; through the above-mentioned graded control, a corresponding relationship is formed between abnormal spatial distribution of clothing, crease risk parameters and control actions; each level of control reduces compression, unwinding and interrupts stable folding, thereby weakening the conditions for stable crease formation.

[0046] In addition, after controlling the garment handling equipment to operate according to the anti-wrinkle strategy, the control methods also include: Reacquire images of the clothes in the inner drum and redetermine the spatial distribution parameters of the clothes to determine whether there are creases in the clothes. When there are no creases in the clothing, the clothing processing equipment is controlled to operate according to the original program; When clothing has creases, re-determine the wrinkle prevention strategy; Control the garment processing equipment to operate according to the newly determined anti-wrinkle strategy until the garment is free of creases; Through closed-loop feedback, this invention forms a cycle of "image detection, risk assessment, strategy determination, drive control, and state feedback," enabling wrinkle-resistant control to be dynamically adjusted according to the actual state of the clothing.

[0047] A comparative experiment was conducted between the control method of this invention and the existing fixed flipping rhythm anti-wrinkle method: Experimental conditions: The same drum washer-dryer was used, along with three identical lightweight cotton shirts (total weight approximately 600g), the same drying program, and the same target moisture content. The differences are as follows: no spatial distribution analysis module is set up; no calculation of local fold count F, unfolded area change rate A, edge curling degree C, and morphological stabilization time T is performed; no correction value WRI for crease risk parameters is constructed; no risk level classification is performed; no graded anti-wrinkle control is implemented; and the anti-wrinkle program is run only according to the preset flipping rhythm. Experimental results: During operation, when clothing gradually clumps together, partially folds, and curls at the edges, the system cannot identify the current state of the clothing; for existing local entanglement or long-term folded and compressed states, the system still operates at a fixed rhythm and cannot take corresponding control measures for specific risks; therefore, some clothing continues to be in a folded and compressed state, and the risk of crease formation continues to accumulate. Comparative analysis: This invention detects the spatial distribution of clothing and constructs crease risk parameters using local fold counts, unfolded area change rate, edge curling degree, and morphological stabilization time. It can identify risks and implement targeted interventions before creases stabilize. However, proportional measurements cannot perceive the true spatial state of clothing, nor can they determine whether the risk of creases has already occurred; therefore, only a fixed control method can be used. When clothing becomes tangled, bunched up, or folded for a long time, the corresponding state cannot be resolved in a timely manner. Therefore, the present invention can dynamically adjust the control strategy according to the actual condition of the clothing, so as to achieve more targeted anti-wrinkle control.

[0048] <Control System and Garment Processing Equipment> like Figure 2 As shown, this embodiment also provides a control system for a garment processing device, the garment processing device including an inner drum; the control system includes: The image acquisition module is used to acquire images of the clothes in the inner drum during normal operation of the garment processing equipment and after the anti-wrinkle strategy is implemented. The spatial distribution state parameter analysis module is used to determine the spatial distribution state parameters of clothing based on images of clothing. The crease risk parameter analysis module is used to determine the crease risk parameters of clothing based on the spatial distribution parameters of the clothing. The crease presence and anti-wrinkle strategy analysis module is used to determine whether the garment has creases and the anti-wrinkle strategy when the garment has creases based on the garment's crease risk parameters. The control module is used to control the garment processing equipment to continue operating according to the current program when there are no creases in the garment, and to control the garment processing equipment to operate according to the anti-wrinkle strategy when there are creases in the garment; in addition, the control module is also used to control the image acquisition module to re-acquire the image of the garment in the inner drum after the garment processing equipment has been operating normally under the anti-wrinkle strategy. The anti-wrinkle strategy includes: adjusting at least one of the following operating parameters: rotation speed, direction, and rotation timing of the inner drum, so that the inner drum operates according to anti-wrinkle operating parameters different from the current program operating parameters; the spatial distribution state parameters of the garment include at least one of the following: number of local folds, rate of change of unfolded area, degree of edge curling, and duration of shape stability; the number of local folds represents the number of times the same area of ​​the garment is repeatedly folded per unit time, the rate of change of unfolded area represents the magnitude of change of the unfolded area of ​​the garment per unit time, the degree of edge curling represents the ratio of the edge curling length to the total length of the garment, and the duration of shape stability represents the duration of the creases on the garment.

[0049] This embodiment also provides a garment processing device, which employs the control method of the garment processing device described above, or includes the control system of the garment processing device described above.

[0050] Example 2 Based on Example 1, this example proposes a method for calculating crease risk parameters; The drying program applied to a drum washer-dryer uses three cotton shirts (total weight approximately 1000g) as the processing objects to illustrate how the spatial distribution analysis module uses image recognition technology to extract key parameters such as the number of folds in a local area, the rate of change of unfolded area, the degree of edge curling, and the time to morphological stabilization of the garments. These parameters are then used as input to the crease risk assessment module to achieve a quantitative judgment on crease risk. The status detection unit uses an RGB camera installed at the door seal, with a resolution of 2 megapixels and an image acquisition frequency of 10fps; The spatial distribution analysis module performs contour extraction, edge detection, and region overlap analysis on continuous images, and calculates four feature parameters that reflect the spatial distribution of clothing, providing data support for subsequent wrinkle prevention control. Detection period: 30 seconds; Number of images sampled per shot: 10 frames; Contour similarity threshold: 85%; Reference unfolded area: 10,000 pixels; Total edge length baseline: 1,000 pixels; The above parameters can be adjusted according to different machine structures, clothing types and detection accuracy requirements. This invention does not limit their specific values. The number of partial folds, F, ranges from 0 to 10, representing the frequency of partial overlapping folds in clothing. The rate of change of unfolded area A, range: 0 to 1, is the ratio of the current unfolded area to the maximum reference area. Edge curling degree C, range: 0 to 1, the proportion of curled edge length to total edge length; Morphological stability time T, range: 0 to 10 detection cycles, the number of cycles in which the spatial morphology of clothing remains stable continuously; The parameter range can be flexibly set according to actual applications and does not constitute a limitation on the present invention.

[0051] The implementation steps include: Step 1: Image Acquisition; When the drying process enters the flipping stage, the status detection unit continuously acquires 10 frames of images as analysis data for this cycle.

[0052] Step 2: Calculate the rate of change of the unfolded area, A; The spatial distribution analysis module extracts the contours of the image and finds that the current unfolded area of ​​the clothing is 7,000 pixels; the system records the historical maximum unfolded area as 10,000 pixels (i.e., the reference unfolded area).

[0053] Therefore: A = 7000 / 10000 = 0.7; Step 3: Determine the number of local folds, F; The module identifies independent overlapping areas of clothing in the image and detects a total of 4 obvious folded areas, with each area counted as a local fold. Therefore: F=4; Step 4: Calculate the degree of edge curling, C; Curvature analysis was performed on the clothing outline, identifying a curled edge length of 500 pixels and a total edge length of 1000 pixels; Therefore: C = 0.5; Step 5: Determine the morphological stabilization time T; The control module compares the clothing outlines of the current cycle with those of the previous cycle and calculates the overlap rate. When the contour overlap rate of two consecutive detection cycles exceeds 85%, the spatial distribution of clothing is determined to be stable. Therefore: T=2 (unit: detection cycle); Step 6: Output status parameters; The spatial distribution analysis module summarizes the calculation results: F=4, A=0.7, C=0.5, T=2; It is then sent to the crease risk assessment module for subsequent calculation of the crease risk index and wrinkle prevention control decisions; Technical effect: This embodiment uses image recognition and feature extraction to transform the traditionally difficult-to-quantify physical states of clothing, such as folding, gathering, curling, and continuous pressure, into calculable and comparable quantitative parameters. The number of partial folds F reflects the density of folds inside the garment; the rate of change of unfolded area A characterizes the degree of unfolding of the garment, and the smaller the value, the more concentrated it is; the degree of edge curling C reflects the degree of constraint deformation of the fabric edge; the time to stabilize the shape reflects the duration of the folded state, and the longer the time, the higher the risk of crease solidification; the above parameters comprehensively characterize the key physical processes of crease formation and provide a reliable basis for the quantitative assessment of crease risk. Based on this parameter system, the system can achieve graded anti-wrinkle control, such as adjusting the flipping rhythm, introducing shaking action, or extending the cooling time, which significantly improves the targeting, effectiveness, and intelligence of anti-wrinkle control.

[0054] Exemplary embodiments of this disclosure have been specifically shown and described above. It should be understood that this disclosure is not limited to the detailed structures, arrangements, or implementations described herein; rather, this disclosure is intended to cover various modifications and equivalent arrangements contained within the spirit and scope of the appended claims.

Claims

1. A control method for a garment processing device, the garment processing device comprising an inner drum; characterized in that, During the operation of the garment processing equipment, the control method includes: Acquire an image of the clothing inside the inner drum; Based on the image of the clothing, determine the spatial distribution parameters of the clothing; Based on the spatial distribution parameters of the clothing, determine whether the clothing has creases; When the garment has no creases, the garment processing equipment continues to operate according to the current program; When the garment has creases, the anti-wrinkle strategy is determined based on the spatial distribution parameters of the garment, and the garment processing equipment is controlled to operate according to the anti-wrinkle strategy. The spatial distribution parameters of the garment include the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of shape stability. The number of local folds represents the number of times the same area of ​​the garment is repeatedly folded per unit time. The rate of change of unfolded area represents the magnitude of the change in the unfolded area of ​​the garment within a continuous unit time. The degree of edge curling represents the ratio of the edge curling length to the total length of the garment. The duration of shape stability represents the duration of the creases on the garment. The anti-wrinkle strategy includes adjusting at least one of the following operating parameters: the rotation speed, direction, and rotation sequence of the inner drum, so that the inner drum operates according to anti-wrinkle operating parameters different from the current program operating parameters. Determining whether the clothing has creases based on the spatial distribution parameters of the clothing includes: Based on the spatial distribution parameters of the clothing, determine the crease risk parameters of the clothing; Based on the crease risk parameters of the garment, determine whether the garment has creases; The crease risk parameter of the clothing is used to characterize the risk of the clothing forming stable creases under the current spatial distribution state; The step of determining the crease risk parameters of the clothing based on the spatial distribution parameters of the clothing includes: The initial value of the crease risk parameter is calculated based on the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability. Calculate the corrected value of the crease risk parameter based on the initial value and correction factor of the crease risk parameter; The correction factor is used to correct the garment's ability to retain creases under different moisture conditions.

2. The control method for the garment processing equipment according to claim 1, characterized in that, The correction factor is positively correlated with the overall moisture content of the clothing; when the overall moisture content of the clothing is within a preset moisture content range, the correction factor is 1; when the overall moisture content of the clothing is less than the minimum threshold of the preset moisture content range, the correction factor is less than 1; when the overall moisture content of the clothing is greater than the maximum threshold of the preset moisture content range, the correction factor is greater than 1.

3. The control method for the garment processing equipment according to claim 1, characterized in that, The initial value of the crease risk parameter, calculated based on the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability, includes: The number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability are normalized respectively to obtain the proportion of the number of local folds, the proportion of the rate of change of unfolded area, the proportion of the degree of edge curling, and the proportion of the duration of morphological stability. The initial value of the crease risk parameter is obtained by weighting the proportion of local folding times, the proportion of unfolded area change rate, the proportion of edge curling degree, and the proportion of shape stabilization time, as well as the weights corresponding to the proportion of local folding times, the proportion of unfolded area change rate, the proportion of edge curling degree, and the proportion of shape stabilization time.

4. The control method for the garment processing equipment according to claim 3, characterized in that, The normalization processing of the local fold count, unfolded area change rate, edge curling degree, and morphological stability duration to obtain the proportions of local fold count, unfolded area change rate, edge curling degree, and morphological stability duration includes: The ratio of the number of local folds is obtained by comparing the number of local folds with the preset maximum number of folds. The unfolded area change rate is compared with the preset maximum area change rate to obtain the unfolded area change rate ratio; The edge curling degree is compared with the preset maximum curling degree to obtain the edge curling degree ratio; The morphological stability duration is compared with the preset maximum stability duration to obtain the morphological stability duration ratio.

5. The control method for the garment processing equipment according to claim 1, characterized in that, Determining whether the clothing has creases based on the crease risk parameter includes: The crease risk level of the garment is determined based on the crease risk parameters of the garment. Based on the crease risk level of the garment, determine whether the garment has creases.

6. The control method for the garment processing equipment according to claim 5, characterized in that, The step of determining the crease risk level of the clothing based on the crease risk parameters of the clothing includes: Determine the preset folding risk parameter range in which the correction value of the crease risk parameter falls; The crease risk level of the garment is determined based on the preset crease risk parameter range in which the correction value of the crease risk parameter falls.

7. The control method for the garment processing equipment according to claim 5, characterized in that, The crease risk level includes low, lower, medium, and high; determining whether the clothing has creases based on the crease risk level includes: When the risk level of the crease is low, it is determined that the garment does not have any creases; The garment is determined to have creases when the crease risk level is any of low, medium, or high.

8. The control method for the garment processing equipment according to claim 7, characterized in that, When the garment has creases, the anti-wrinkle strategy is further determined based on the crease risk level of the garment, including: When the risk level of creases in the garment is low, the anti-wrinkle strategy is to first reduce the rotation speed of the inner drum to the first anti-wrinkle speed, and then make the inner drum rotate in the manner of "first anti-wrinkle speed forward, pause, first anti-wrinkle speed reverse, and pause again" within the anti-wrinkle cycle. When the risk level of creases in the garment is medium, the anti-wrinkle strategy is to first rotate the inner drum in a manner of "normal operating speed forward, pause, and normal operating speed reverse" during the anti-wrinkle cycle, and then rotate the inner drum in a manner of "reducing the normal operating speed to the second anti-wrinkle speed with deceleration acceleration, and then increasing the speed from the second anti-wrinkle speed to the normal operating speed with acceleration acceleration". When the risk level of creases in the garment is high, the anti-wrinkle strategy is to first stop the inner drum from rotating or reduce the rotation speed of the inner drum to the third anti-wrinkle speed during the anti-wrinkle cycle, then rotate the inner drum in the manner of "rotating continuously or intermittently in the opposite direction of the third anti-wrinkle speed, and the angle of the reverse rotation is a preset angle", and then shake the inner drum at the third anti-wrinkle speed. The higher the risk level of the crease, the greater the degree of folding of the garment and the longer the duration of the crease; the first anti-wrinkle speed is lower than the speed of the inner drum during normal operation, the second anti-wrinkle speed is lower than the first anti-wrinkle speed, and the third anti-wrinkle speed is lower than the second anti-wrinkle speed; the anti-wrinkle strategy includes changing at least one of the following: the speed of the inner drum, the direction of the speed, the rotation-to-stop ratio, and the range of the rotation angle.

9. The control method for the garment processing equipment according to claim 8, characterized in that, After controlling the garment processing equipment to operate according to the anti-wrinkle strategy, the control method further includes: Reacquire images of the clothing in the inner drum and redetermine the spatial distribution parameters of the clothing to determine whether the clothing has creases. When the garment has no creases, control the garment processing equipment to operate according to the original program; When the garment has creases, the anti-wrinkle strategy should be re-determined; The garment processing equipment is controlled to operate according to the newly determined anti-wrinkle strategy until the garment is free of creases.

10. A control system for a garment processing device, the garment processing device comprising an inner drum; characterized in that, The control system is used to execute the control method according to any one of claims 1 to 9, and the control system includes: The image acquisition module is used to acquire images of the clothes in the inner drum during normal operation of the garment processing equipment and after the anti-wrinkle strategy is implemented. The spatial distribution state parameter analysis module is used to determine the spatial distribution state parameters of the clothing based on the image of the clothing. The crease risk parameter analysis module is used to determine the crease risk parameters of the clothing based on the spatial distribution parameters of the clothing. The crease presence and anti-wrinkle strategy analysis module is used to determine whether the garment has creases and the anti-wrinkle strategy when the garment has creases based on the crease risk parameters of the garment. The control module is used to control the garment processing device to continue operating according to the current program when there are no creases in the garment, to control the garment processing device to operate according to the anti-wrinkle strategy when there are creases in the garment, and to control the image acquisition module to re-acquire the image of the garment in the inner drum after the garment processing device has been operating normally under the anti-wrinkle strategy. The spatial distribution parameters of the clothing include the number of local folds, the rate of change of unfolded area, the degree of edge curling, and the duration of morphological stability. The number of local folds represents the number of times the same area of ​​the clothing is repeatedly folded per unit time. The rate of change of unfolded area represents the magnitude of the change in the unfolded area of ​​the clothing per unit time. The degree of edge curling represents the ratio of the edge curling length to the total length of the clothing. The duration of morphological stability represents the duration of the creases on the clothing.

11. A garment processing device, characterized in that, The garment processing device includes an inner drum, and the garment processing device adopts the control method of the garment processing device according to any one of claims 1 to 9, or the garment processing device includes the control system of the garment processing device according to claim 10.

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