Control method for judging clothes dryness, electronic device, computer-readable storage medium, and clothes processing device

Abstract

The present invention relates to the technical field of clothing processing equipment, and in particular to a control method for judging whether clothing is dry, an electronic device, a computer-readable storage medium, and a clothing processing equipment. The control method is applied to clothing processing equipment, and the clothing processing equipment includes a clothing processing barrel. The control method for judging whether clothing is dry includes: collecting multiple images of the load in the clothing processing barrel during the drying process; scoring the flatness of the multiple images of the load in the barrel respectively to obtain a flatness score corresponding to each image of the load in the barrel; determining whether the flatness scores of the multiple images of the load in the barrel meet the flatness requirements, and taking the flatness scores of the multiple images of the load in the barrel meeting the flatness requirements as a necessary condition for ending the drying process. In the present invention, by continuously photographing the surface of clothing, the clothing is judged dry based on the flatness of the surface of the clothing, thereby effectively improving the accuracy of judging whether clothing is dry, and thereby improving the user experience.

Description

Technical Field

[0001] The present invention relates to the technical field of clothing processing equipment, and in particular to a control method for determining whether clothing is dry, an electronic device, a computer-readable storage medium, and a clothing processing equipment. Background Art

[0002] With the continuous improvement of people's living standards, especially in daily laundry, washer-dryers or clothes dryers have become an indispensable part of the family, and the demand for clothes drying in the family is also increasing.

[0003] Existing washer-dryers or dryers primarily use temperature differences to determine whether clothes are dry. However, this process can be inaccurate, causing the washer-dryer or dryer to overdry clothes or stop drying them before they are completely dry. Overdrying can damage the fibers and other structures within the clothes, shortening their lifespan. Clothes that are not completely dry can also affect the user experience. Summary of the Invention

[0004] In view of this, the present invention provides a control method for judging whether clothes are dry, an electronic device, a computer-readable storage medium and a clothes processing device, so as to solve the problem that existing clothes processing devices such as a washer-dryer or a dryer have inaccurate dryness judgment when drying clothes, thereby affecting the user experience.

[0005] A first aspect of an embodiment of the present invention provides a method for controlling whether clothes are dry, which is applied to a clothes processing device, wherein the clothes processing device includes a clothes processing tub. The method for controlling whether clothes are dry includes:

[0006] collecting a plurality of images of the load in the laundry treatment tub during the drying process;

[0007] Performing flatness scoring on the plurality of images of the load in the barrel, respectively, to obtain a flatness score corresponding to each image of the load in the barrel;

[0008] It is determined whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement, and whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement is used as a necessary condition for ending the drying process.

[0009] In some embodiments, whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement includes:

[0010] Determining a value of an evaluation index according to the flatness scores of the plurality of images of the load in the barrel;

[0011] determining whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement based on a magnitude relationship between a value of at least one of the evaluation indicators and a threshold value of the evaluation indicator;

[0012] The value of the evaluation index includes at least one of an average value, a variance average value, and a median value of the flatness scores of the multiple bucket load images.

[0013] In some embodiments, collecting multiple images of the load in the barrel during the drying process includes:

[0014] During the drying process, a plurality of images of the load in the barrel are acquired in at least two acquisition stages, and at least one image of the load in the barrel is acquired in each acquisition stage;

[0015] The step of scoring the flatness of the plurality of images of the load in the barrel includes:

[0016] The loading images obtained at each acquisition stage were scored for flatness;

[0017] Determining whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement includes:

[0018] For each acquisition stage, the value of the evaluation index is calculated based on the flatness score of the load image obtained during the acquisition stage;

[0019] An average value of the evaluation index corresponding to all acquisition stages is compared with a threshold value of the evaluation index. If the average value is less than the threshold value of the evaluation index, it is determined that the flatness scores of the multiple bucket load images meet the flatness requirement, wherein the value of the evaluation index includes at least one of an average value, a variance average value, and a median value of the flatness score.

[0020] In some embodiments, the method further includes: when the average value of the evaluation index is compared with a threshold value of the evaluation index, if the average value is greater than or equal to the threshold value of the evaluation index, obtaining the value of the evaluation index of a new collection stage, removing the value of the evaluation index of the earliest collection stage, and recalculating the average value of the updated evaluation index value;

[0021] The average value of the updated evaluation index values ​​is compared with a threshold value of the evaluation index.

[0022] In some embodiments, when the value of the evaluation indicator is the mean of the variance, the threshold value of the evaluation indicator is 0.5.

[0023] In some embodiments, the flatness score is obtained by comparing an image of the load in the drum with a standard flatness grade template.

[0024] In some embodiments, before collecting the image of the load in the barrel, the temperature difference between the inlet and outlet air of the barrel where the load is located is detected; the inlet and outlet air temperature difference is the difference between the air inlet temperature value and the air outlet temperature value of the barrel;

[0025] The inlet and outlet air temperature difference is compared with a preset dry temperature difference. When the inlet and outlet air temperature difference is less than or equal to the preset dry temperature difference, the load image in the barrel is collected.

[0026] In some embodiments, the dry temperature difference is determined based on parameters of the load in the barrel;

[0027] The parameters include weight and material.

[0028] A second aspect of an embodiment of the present invention provides an electronic device, comprising:

[0029] a memory for storing one or more computer-executable instructions;

[0030] A processor is used to call and execute computer executable instructions in the memory, thereby implementing the method as described in the first aspect.

[0031] A third aspect of an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0032] A fourth aspect of an embodiment of the present invention provides a clothes processing device, the clothes processing device comprising:

[0033] An image acquisition module is used to capture multiple images of the load in the barrel during the drying process;

[0034] a drying judgment module, configured to respectively score the flatness of the plurality of images of the load in the barrel, and obtain a flatness score corresponding to each image of the load in the barrel;

[0035] It is determined whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement, and whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement is used as a necessary condition for ending the drying process.

[0036] Compared with the prior art, the beneficial effects of the present invention are mainly:

[0037] In the control method, electronic device, computer-readable storage medium, and clothing processing device for judging whether clothes are dry, the control method for judging whether clothes are dry is applied to the clothing processing device, which is provided with a clothes processing tub. In the control method, first, multiple images of the load in the clothes processing tub are collected during the drying process; then, the multiple images of the load in the tub are scored for flatness to obtain a flatness score corresponding to each image of the load in the tub; finally, it is determined whether the flatness scores of the multiple images of the load in the tub meet the flatness requirements, and the satisfaction of the flatness scores of the multiple images of the load in the tub as a necessary condition for ending the drying process. In the present invention, during the drying process, clothes in the clothes processing tub are continuously photographed to judge whether the clothes are dry based on the flatness of the clothes' surface, thereby effectively improving the accuracy of judging whether clothes are dry and enhancing the user experience of the clothes processing device. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are merely exemplary, and those skilled in the art can, without inventive effort, derive other implementation drawings based on the provided drawings.

[0039] The structures, proportions, sizes, etc. illustrated in this specification are intended only to complement the contents disclosed herein and to facilitate understanding and reading by persons familiar with the art. They are not intended to limit the conditions under which the present invention may be implemented and therefore have no substantive technical significance. Any structural modifications, changes in proportions, or adjustments in sizes, without affecting the efficacy and objectives of the present invention, shall still fall within the scope of the technical contents disclosed herein.

[0040] Figure 1 is a structural schematic diagram of a clothes processing device according to an embodiment of the present invention;

[0041] Figure 2 This is a flowchart of a method for controlling clothes dryness according to an embodiment of the present invention;

[0042] Figure 3 is a flowchart of a method for controlling clothes dryness according to another embodiment of the present invention;

[0043] Figure 4 is a flowchart of a method for controlling clothes dryness according to another embodiment of the present invention;

[0044] Figure 5 The figure is a logic judgment flow chart of a control method for judging whether clothes are dry according to an embodiment of the present invention.

[0045] Reference numerals:

[0046] 100. Clothes processing device; 110. Clothes processing tub; 120. Housing; 130. Display unit; 140. Image acquisition unit. DETAILED DESCRIPTION

[0047] The following describes the implementation of the present invention using specific embodiments. Those skilled in the art will readily understand the other advantages and benefits of the present invention from the disclosure herein. Obviously, the embodiments described are only a portion of the present invention, not all of it. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of the present invention without inventive effort are intended to fall within the scope of protection of the present invention.

[0048] The terms used in the embodiments of the present invention are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The singular forms "a," "the," and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates otherwise. "A plurality" generally includes at least two, but does not exclude the inclusion of at least one.

[0049] It should be understood that the term "and / or" as used herein is merely a description of the relationship between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0050] It should also be noted that the terms "include," "comprises," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a product or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such product or system. In the absence of further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the product or system comprising the element.

[0051] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but should not be understood as limiting the present invention.

[0052] like Figure 1As shown, an exemplary embodiment of the present invention provides a laundry processing device 100. The laundry processing device may include, but is not limited to, a washing machine, which may include, but is not limited to, a washer-care machine, a washer-dryer, a clothes dryer, and the like. For example, the washing machine may be a drum washing machine or a pulsator washing machine with drying or washing functions. Of course, the washing machine may also be other types of fully automatic washing machines.

[0053] In this example and the following examples, the clothing processing device 100 is described by taking a washer-dryer or a clothes dryer as an example.

[0054] The laundry processing apparatus 100 includes a laundry processing tub 110 , and the laundry processing apparatus 100 can run a drying program to dry the laundry in the laundry processing tub 110 .

[0055] In some embodiments, the laundry processing device 100 may include one or two laundry processing tubs 110. Taking one laundry processing tub 110 as an example, a drying module (not shown) is provided in the laundry processing tub 110, and the drying module includes a drying air duct, a drying fan and a drying element.

[0056] The air outlet and air inlet of the drying duct are both connected to the interior of the laundry tub 110. The drying fan and the drying element are both arranged in the drying duct. The drying element is configured to dehumidify and heat the hot and humid air drawn from the laundry tub 110 to form a drying airflow to dry the clothes.

[0057] The drying element can be fixed directly in the drying air duct, or can be fixed in the drying air duct by other fasteners such as screws, etc. The drying element can be arranged at a position close to the air outlet of the drying air duct.

[0058] The drying element may include but is not limited to an electric heating wire or a PTC (Positive Temperature Coefficient, positive temperature coefficient thermistor) heater or other elements capable of heating air.

[0059] Along the flow direction of the drying airflow, a drying fan can be positioned upstream of the drying element. The rotation of the drying fan can, on the one hand, direct the hot and humid air drawn from the laundry tub 110 into the drying element to form a drying airflow, and on the other hand, drive the drying airflow into the laundry tub 110, providing the laundry tub 110 with an appropriate drying airflow to meet the drying airflow requirements of the laundry tub 110 during the drying process. Alternatively, during the air-drying process of the laundry, or during the cooling of the laundry tub 110 or the laundry at the end of the drying process, an appropriate air volume can be provided to meet the drying requirements of the laundry and the cooling requirements of the laundry tub 110.

[0060] The drying fan may be a fan in the prior art, such as an induced draft fan or an axial flow fan.

[0061] It should be noted that the structure or specific setting position of the drying duct, drying fan and drying component in the drying module in this example is not specifically limited, as long as the drying duct, drying fan and drying component in the drying module can dry the clothes in the clothes processing barrel 110.

[0062] A temperature sensor (not shown) is installed in the laundry tub 110. The temperature sensor may include a first temperature sensor and a second temperature sensor. The first temperature sensor detects the temperature of the dry air entering the laundry tub 110, i.e., the inlet air temperature. The second temperature sensor detects the temperature of the dry air exiting the laundry tub 110, i.e., the outlet air temperature.

[0063] The first temperature sensing package and the second temperature sensing package may include but are not limited to a temperature sensor or a temperature and humidity sensor, etc. In addition, there is at least one first temperature sensing package and at least one second temperature sensing package.

[0064] When there are multiple first temperature sensing bags and multiple second temperature sensing bags, the average value of the multiple detected inlet air temperatures can be used as the final inlet air temperature to improve the accuracy of inlet air temperature detection; and the average value of the multiple detected outlet air temperatures can be used as the final outlet air temperature to improve the accuracy of outlet air temperature detection.

[0065] Continue to refer to Figure 1 As shown, the laundry processing apparatus 100 includes a housing 120 , wherein the laundry processing tub 110 is disposed inside the housing 120 , and the laundry processing tub 110 is in the form of a drum and accommodated within a space constructed inside the housing 120 .

[0066] A display unit 130 is provided on the housing 120. The display unit 130 may include, but is not limited to, a display. The display unit 130 may be a button-type display, for example, where multiple physical function buttons can be used to flexibly select a program to be run by the laundry processing device 100. Alternatively, the display unit 130 may be a touch-enabled display, where multiple virtual buttons on the display can be used to flexibly select a program to be run by the laundry processing device 100.

[0067] It should be noted that the display element 130 can be set at any position of the housing 120. In a specific example, the display element 130 is set just above the opening of the laundry treatment tub 110 so that the user can place clothes through the opening of the laundry treatment tub 110 or take clothes out of the laundry treatment tub 110 from the opening. During the process of placing clothes into or taking clothes out of the laundry treatment tub 110, the display element 130 is set just above the opening, which makes it more convenient for the user to control the corresponding functions of the laundry treatment device.

[0068] In order to take photos of the clothes in the laundry treatment tub 110 and judge the drying condition of the clothes by the flatness of the clothes surface, an image acquisition component 140 is provided in the laundry treatment tub 110. The image acquisition component 140 may include but is not limited to a camera, a video camera, etc.

[0069] It should be noted that the image acquisition component 140 can take pictures of the clothes in the clothes processing drum 110 during the clothes drying stage to obtain image information of the flatness of the clothes surface; on the other hand, after the image information of the clothes is obtained by the image acquisition component 140, the control system of the clothes processing device 100 can determine the specific material information of the clothes.

[0070] Among them, the control system of the clothing processing device 100 can adopt the control system in the existing technology, as long as the control system can control various startup functions of the washer-dryer, and the specific structure type and specific control logic of the control system will not be repeated here.

[0071] A weight detection element (not shown) is further provided in the laundry processing tub 110 or the laundry processing apparatus 100, wherein the weight detection element may include but is not limited to a weight sensor. The weight detection element can be used to detect the weight of the laundry in real time at any stage of the laundry processing, such as before washing, after dehydration, and during drying.

[0072] like Figure 2 As shown, an exemplary embodiment of the present invention provides a method for controlling whether clothes are dry, and the method is applied to a clothes processing device 100. The method for controlling whether clothes are dry includes the following steps:

[0073] Step S100: collecting multiple images of the load in the laundry treatment tub during the drying process.

[0074] Step S200: performing flatness scoring on the plurality of in-bucket load images respectively to obtain a flatness score for each in-bucket load image.

[0075] Step S300: determining whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement, and taking the fact that the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement as a necessary condition for ending the drying process.

[0076] In step S100, when the clothing processing device 100 runs the drying program to dry the clothes, the control system determines that when the clothes reach the dry condition, controls the image acquisition component 140 set in the clothing processing barrel 110 to turn on, and photographs the clothes through the image acquisition component 140 to collect multiple barrel load images of the clothes in the clothing processing barrel 110.

[0077] In one example, a camera provided in the laundry treatment tub 110 may be used to continuously take pictures of the laundry to determine whether the laundry has been dried based on image information on the surface of the laundry.

[0078] Among them, before the clothes are dried after dehydration, or before the soaked clothes are dried, the surface of the clothes is easily affected by external forces and the temperature in the clothes processing barrel 110 in a wet state, and the ordered hydrogen bonds between the fiber molecules on the surface of the clothes are disrupted, thereby forming disordered hydrogen bonds. The wrinkles formed by the disordered hydrogen bonds cause the appearance of the surface of the clothes to be easily deformed.

[0079] During the drying process, water molecules come into contact with the hydrogen bonds between fiber molecules on the surface of the clothing and combine with them, forming hydrogen bonds between them. This breaks down any wrinkles on the surface of the clothing. During the drying process, external pressure (such as the rotation speed and the start-stop ratio of the clothing treatment tub 110) pulls the disordered fiber molecules back into an orderly position. The drying airflow then evaporates and dries the water molecules, causing the hydrogen bonds between the fiber molecules on the surface of the clothing to form orderly bonds again. Once the water molecules are completely dried, the surface appearance of the clothing no longer changes. In other words, when the surface appearance of the clothing no longer changes, it indicates that the clothing has been dried.

[0080] Based on the above process, in one example, when the temperature difference between the inlet air temperature and the outlet air temperature of the clothing processing barrel 110 is greater than the set value, the control system determines that the clothes in the clothing processing barrel 110 meet the dry conditions. The set value can be flexibly set according to the material of the clothes, and no specific limitation is made here.

[0081] Among them, when the material of the clothing is pure cotton fabric, the set value can be selected as 7°C. When the material of the clothing is silk fabric, the set value can be selected as 5°C.

[0082] When the control system determines that the clothes in the laundry processing tub 110 meet the dryness criteria, the control system controls the camera to start and continuously photograph the clothes in the laundry processing tub 110 n times during the same drying cycle to collect multiple images of the clothes in the laundry processing tub 110. Where n is a positive integer greater than or equal to 8.

[0083] In a preferred example, in order to ensure a complete wrinkle sample of the clothes in the clothes processing barrel 110, the control system controls the camera to take 10 consecutive photos of the clothes in the clothes processing barrel 110 during the same drying cycle, thereby obtaining 10 images of the load in the barrel, which are marked as S1, S2, S3, S4...S10 respectively.

[0084] In step S200, the control system uses image processing to perform flatness scoring on multiple images of the load inside the barrel, obtaining a flatness score for each image. The flatness score can be obtained by comparing the load inside the barrel image with a standard flatness grade sample. Specifically, the flatness score is determined by comparing the captured load inside the barrel image with a standard sample card after image signal processing.

[0085] In one example, after collecting 10 consecutive barrel load images of clothes in the same drying cycle, each barrel load image is subjected to signal processing, and the signal-processed barrel load image is compared with a standard flatness grade template to obtain the flatness grade of the barrel load image, and output the flatness score representing the barrel load image, which is marked as s1, s2, s3, s4...s10 respectively.

[0086] In step S300, the control system determines whether the flatness scores of the multiple images of the load inside the drum meet the flatness requirements. This is considered a prerequisite for ending the drying process. Specifically, the variance of the ten values ​​(s1, s2, s3, s4, ..., s10) obtained in step S200 is calculated and recorded as X1. Three consecutive cycles are recorded, denoted as X1, X2, and X3, respectively. Finally, the average of the variances of the three values ​​(X1, X2, and X3) is calculated.

[0087] When the average variance of the three values ​​X1, X2, and X3 is less than a threshold, it indicates that the flatness scores of the multiple images of the load in the drum meet the flatness requirements, that is, the clothes in the laundry treatment drum 110 have been dried. At this time, the control system can control the laundry treatment device 100 to stop the drying process. The threshold value may include, but is not limited to, 0.5.

[0088] When the mean value of the variance of the three values ​​X1, X2 and X3 is greater than or equal to the threshold, it indicates that the clothes in the clothes processing drum 110 have not been dried. At this time, the control system controls the clothes processing device 100 to continue running the drying program, and continues to obtain multiple images of the load in the drum in the same drying operation cycle in the next acquisition stage through the camera, and judges the drying status of the clothes through the above steps S200 and S300. Until the mean value of the variance of the three values ​​X1, X2 and X3 is less than the threshold, the clothes processing device 100 is controlled to stop running the drying program.

[0089] In this example, during the drying process, continuous photos are taken of the clothes in the clothes processing drum to judge whether the clothes are dry based on the flatness of the clothes surface, thereby effectively improving the accuracy of judging whether the clothes are dry and enhancing the user experience of the clothes processing equipment.

[0090] like Figure 3 As shown, in some embodiments, the following method can be used to determine whether the flatness scores of multiple images of the load in the bucket meet the flatness requirements:

[0091] S310: Determine an evaluation index value based on the flatness scores of the plurality of images of the load in the barrel, wherein the evaluation index value may include at least one of an average value, a variance average value, and a median value of the flatness scores of the plurality of images of the load in the barrel.

[0092] S320: Determine whether the flatness scores of the plurality of images of the load in the bucket meet the flatness requirement based on a magnitude relationship between a value of at least one evaluation indicator and a threshold value of the evaluation indicator.

[0093] In step S310 , after obtaining the flatness scores of the plurality of images of the load in the barrel, the control system determines the mean value of the variance as the value of the evaluation index.

[0094] In one example, the control system takes 10 consecutive images of the laundry in laundry treatment tub 110 and determines a flatness score (e.g., s1, s2, s3, s4, ..., s10) corresponding to each image of the laundry in the tub. The control system then calculates the variance of the 10 values ​​of s1, s2, s3, s4, ..., s10 and records this variance as X1. Three consecutive cycles are recorded, respectively, as X1, X2, and X3. Finally, the average of the variances of the three values ​​of X1, X2, and X3 is calculated.

[0095] It should be noted that the mean value of the variance may also be the mean value of other number of periods other than three periods. For example, four periods may be recorded continuously to obtain the mean value of the variance of the four periods.

[0096] For example, five periods are recorded continuously to obtain the average value of the variance of the five periods.

[0097] The average value of the ten flatness scores s1, s2, s3, s4, ..., s10 may be determined as the value of the evaluation index.

[0098] In another example, the control system takes 10 consecutive photos of the laundry in the laundry treatment tub 110 and determines a flatness score corresponding to each image of the laundry in the tub, such as s1, s2, s3, s4, ..., s10. The control system then averages the 10 flatness scores s1, s2, s3, s4, ..., s10 and records this average as a first average value Y1. Three consecutive cycles are recorded, respectively as the first average value Y1, the second average value Y2, and the third average value Y3. Finally, the average of the first average value Y1, the second average value Y2, and the third average value Y3 is calculated.

[0099] It should be noted that the average value in this example may also be the average value of other number of periods other than three periods. For example, four periods may be recorded continuously to obtain the average value of four periods.

[0100] For another example, five cycles are recorded continuously to obtain the average value of the five cycles.

[0101] In addition, the median value of the 10 flatness scores s1, s2, s3, s4, ..., s10 may be determined as the value of the evaluation index.

[0102] In another example, the control system takes 10 consecutive photos of the clothes in the laundry treatment barrel 110 and determines the flatness score corresponding to each image of the load in the barrel, such as s1, s2, s3, s4...s10. Then, the control system determines the median value of the 10 flatness scores s1, s2, s3, s4...s10, that is, the average value of the two flatness scores s5 and s6 is used as the median value, and records this average value as the first median value Z1. Among them, three cycles are recorded continuously, respectively recorded as the first median value Z1, the second median value Z2, and the third median value Z3. Finally, the average value of the three values ​​of the first median value Z1, the second median value Z2, and the third median value Z3 is calculated, and this average value is used as the median value.

[0103] It should be noted that the median value in this example may also be the median value of a number of periods other than three periods. For example, four periods may be recorded continuously to obtain the median value of the four periods.

[0104] For another example, five cycles are recorded continuously to obtain the median value of the five cycles.

[0105] In step S320, the control system uses any of the determined variance mean, mean, and median values ​​as the evaluation index value. The control system then compares the evaluation index value with the evaluation index threshold M and, based on the comparison result, determines whether the flatness scores of the multiple images of the load in the bucket meet the flatness requirements.

[0106] Among them, taking the value of the evaluation index as the variance mean as an example, the control system determines whether the flatness scores of multiple images of the load in the barrel meet the flatness requirements, and the fact that the flatness scores of the multiple images of the load in the barrel meet the flatness requirements is used as a necessary condition for ending the drying process.

[0107] Calculate the variance of the ten values ​​s1, s2, s3, s4, ..., s10 obtained in step S310 above, and record this variance as X1. Record three consecutive cycles, denoted as X1, X2, and X3, respectively. Finally, calculate the average of the variances of the three values ​​X1, X2, and X3.

[0108] When the mean of the variances of the three values ​​X1, X2, and X3 is less than the evaluation index threshold M, it indicates that the flatness scores of the multiple images of the load in the drum meet the flatness requirements, i.e., the clothes in the laundry treatment drum 110 have been dried. At this point, the control system can control the laundry treatment device 100 to stop the drying process. The value of the evaluation index threshold M may include, but is not limited to, 0.5.

[0109] When the mean value of the variance of the three values ​​X1, X2 and X3 is greater than or equal to the threshold value of the evaluation index, it indicates that the clothes in the clothes processing drum 110 have not been dried. At this time, the control system controls the clothes processing device 100 to continue running the drying program, and continues to obtain multiple images of the load in the drum in the same drying operation cycle in the next acquisition stage through the camera, and judges the dryness again until the mean value of the variance of the three values ​​X1, X2 and X3 is less than the threshold value M of the evaluation index, and then controls the clothes processing device 100 to stop running the drying program.

[0110] like Figure 4 As shown, in some embodiments, the method for controlling whether clothes are dry includes the following steps:

[0111] Step S10: During the drying process, a plurality of images of the load in the barrel are acquired in at least two acquisition stages, and at least one image of the load in the barrel is acquired in each acquisition stage.

[0112] Step S20: performing a flatness score on the load images acquired in each acquisition phase.

[0113] Step S30: For each acquisition stage, the value of the evaluation index is calculated based on the flatness score of the load image acquired in the acquisition stage.

[0114] Step S40: Compare the average value of the evaluation index corresponding to all acquisition stages with the threshold value of the evaluation index. If the average value is less than the threshold value of the evaluation index, determine that the flatness scores of the multiple bucket load images meet the flatness requirements, wherein the value of the evaluation index includes at least one of the average value, variance average value, and median value of the flatness score.

[0115] In step S10, while the laundry processing device 100 is drying the laundry in a drying cycle, the control system determines that the laundry has reached a dryness condition and activates the image acquisition unit 140 within the laundry processing tub 110. The control system controls the image acquisition unit 140 to capture at least five images of the laundry load in each acquisition phase.

[0116] In step S20, the control system uses image processing to perform flatness scoring on the multiple images of the load inside the barrel, obtaining a flatness score for each image. The flatness score can be obtained by comparing the load inside the barrel image with a standard flatness grade sample. Specifically, the flatness score is determined by comparing the captured load inside the barrel image with a standard sample card after image signal processing.

[0117] In step S30, the control system determines any one of the average value, variance average value, or median value of the flatness score as the value of the evaluation index. The process of determining the average value, variance average value, or median value as the value of the evaluation index can refer to the above example and will not be repeated here.

[0118] In step S40, the control system compares the average value of the evaluation index corresponding to all acquisition stages with the evaluation index threshold M. If the average value of the evaluation index is less than the evaluation index threshold M, it is determined that the flatness scores of the multiple images of the load in the drum meet the flatness requirement, indicating that the clothes in the laundry treatment drum 110 have been dried. At this point, the control system can control the laundry treatment device 100 to stop the drying process.

[0119] When the mean value of the variance is used as the value of the evaluation index, the threshold M of the evaluation index is 0.5.

[0120] like Figure 4 As shown, in some embodiments, after step S40, the method for controlling the clothes to be dry further includes:

[0121] Step S50: When the average value of the evaluation index is greater than or equal to the threshold M of the evaluation index, obtain the value of the evaluation index of the new acquisition stage, remove the value of the evaluation index of the earliest acquisition stage, and recalculate the average value of the updated evaluation index.

[0122] Step S60: Compare the average value of the updated evaluation index values ​​with the threshold value M of the evaluation index.

[0123] In step S50, when the control system determines that the average value of the evaluation index is greater than or equal to the threshold M of the evaluation index, it indicates that the clothes in the clothing processing barrel 110 have not been dried. At this time, the control system controls the clothing processing device 100 to continue running the drying program, and continues to obtain multiple images of the load in the barrel in the same drying operation cycle in the next acquisition stage through the camera.

[0124] After reacquiring multiple images of the load in the bucket, the average value of the updated evaluation index is recalculated and obtained.

[0125] In step S60, the control system determines the average value of the updated evaluation index and compares it with the threshold value of the evaluation index until the average value of the updated evaluation index is less than the threshold value of the evaluation index, and then controls the clothing processing device 100 to stop running the drying program.

[0126] like Figure 5 As shown, in some embodiments, before collecting the image of the load in the tub, the control method for judging whether the clothes are dry also includes the following method:

[0127] The control system detects and obtains the temperature difference between the inlet and outlet air of the load (i.e., clothes) in the laundry treatment tub. The temperature difference between the inlet and outlet air is the difference between the air inlet temperature T1 and the air outlet temperature T2 of the laundry treatment tub 110 .

[0128] The inlet and outlet air temperature difference is compared with a preset drying temperature difference. When the inlet and outlet air temperature difference is less than or equal to the preset drying temperature difference, an image of the load in the laundry treatment drum is collected.

[0129] The preset dry temperature difference can be determined based on the parameters of the clothes in the laundry treatment tub. Parameters may include, but are not limited to, weight and material. It should be noted that determining the preset dry temperature difference based on the parameters of the clothes can be achieved using methods known in the art, which will not be further described here.

[0130] An exemplary embodiment of the present invention provides an electronic device, which includes a processor (not shown in the figure) and a memory (not shown in the figure) connected to the processor.

[0131] The memory is used to store one or more computer executable instructions, wherein the computer executable instructions can be called by the processor to execute the control method for judging clothes as dry in the above embodiment.

[0132] An exemplary embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions for causing a computer to execute the control method for determining whether clothes are dry in the above embodiment.

[0133] An exemplary embodiment of the present invention further provides a clothes treating device, which includes an image acquisition module and a drying determination module.

[0134] The image acquisition module is used to acquire multiple images of the load in the laundry processing tub 110 of the laundry processing device 100 during the drying process when the laundry processing device 100 runs a drying program.

[0135] The drying judgment module is used to perform flatness scoring on multiple images of the load in the barrel, respectively, to obtain a flatness score corresponding to each image of the load in the barrel; it is also used to determine whether the flatness scores of the multiple images of the load in the barrel meet the flatness requirements, and to use the fact that the flatness scores of the multiple images of the load in the barrel meet the flatness requirements as a necessary condition for ending the drying process.

[0136] In the above example, during the drying process, the clothes in the clothes processing barrel 110 are continuously photographed to judge whether the clothes are dry based on the flatness of the clothes surface, thereby effectively improving the accuracy of judging whether the clothes are dry and improving the user experience of the clothes processing equipment.

[0137] Other embodiments of the present invention will readily occur to those skilled in the art after considering the specification and practicing the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present invention that follow the general principles of the invention and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the invention being indicated by the following claims.

[0138] It should be understood that the present invention is not limited to the exact construction described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for controlling whether clothes are dry, applied to a clothes processing device, wherein the clothes processing device includes a clothes processing tub, characterized in that: The control method for judging whether clothes are dry includes: Acquire multiple images of the load in the laundry processing tub during the drying process, wherein the multiple images of the load in the tub are acquired in at least two acquisition stages during the drying process, and at least one image of the load in the tub is acquired in each acquisition stage; Performing a flatness score on each of the multiple images of the load in the barrel, wherein the flatness score is performed on each load image acquired in each acquisition phase, to obtain a flatness score corresponding to each image of the load in the barrel; Determining whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement, and taking the fact that the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement as a necessary condition for ending the drying process, wherein determining whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement includes: For each acquisition stage, the value of the evaluation index is calculated based on the flatness score of the load image obtained during the acquisition stage; Comparing an average of the values ​​of the evaluation indicators corresponding to all acquisition stages with a threshold of the evaluation indicators, and if the average is less than the threshold of the evaluation indicators, determining that the flatness scores of the plurality of images of the load in the bucket meet the flatness requirement, wherein the value of the evaluation indicator includes at least one of an average value, a variance average value, and a median value of the flatness score; and, when the average value of the evaluation index is compared with a threshold value of the evaluation index, if the average value is greater than or equal to the threshold value of the evaluation index, obtaining the value of the evaluation index of a new acquisition stage, removing the value of the evaluation index of the earliest acquisition stage, and recalculating the average value of the updated evaluation index value; The average value of the updated evaluation index values ​​is compared with a threshold value of the evaluation index.

2. A method for controlling whether clothes are dry according to claim 1, characterized in that: Whether the flatness scores of the multiple images of the load in the barrel meet the flatness requirements, including: Determining a value of an evaluation index according to the flatness scores of the plurality of images of the load in the barrel; determining whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement based on a magnitude relationship between a value of at least one of the evaluation indicators and a threshold value of the evaluation indicator; The value of the evaluation index includes at least one of an average value, a variance average value, and a median value of the flatness scores of the multiple bucket load images.

3. The method for controlling whether clothes are dry according to claim 1, wherein: When the value of the evaluation index is the variance mean, the threshold value of the evaluation index is 0.

5.

4. A method for controlling whether clothes are dry according to any one of claims 1 to 3, characterized in that: The flatness rating is obtained by comparing the image of the load in the bucket with a standard flatness grade sample.

5. The method for controlling whether clothes are dry according to claim 4, characterized in that: Also includes: Before collecting the image of the load in the barrel, the temperature difference between the inlet and outlet air of the barrel where the load is located is detected; The temperature difference between the inlet and outlet air is the difference between the inlet temperature and the outlet temperature of the barrel; The inlet and outlet air temperature difference is compared with a preset dry temperature difference. When the inlet and outlet air temperature difference is less than or equal to the preset dry temperature difference, the load image in the barrel is collected.

6. The method for controlling whether clothes are dry according to claim 5, characterized in that: The dry temperature difference is determined based on the parameters of the load in the barrel; The parameters include weight and material.

7. An electronic device, characterized in that: The electronic device comprises: a memory for storing one or more computer-executable instructions; A processor, configured to call and execute computer executable instructions in the memory, thereby implementing the control method according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the control method according to any one of claims 1 to 6.

9. A clothes processing device, characterized in that: include: An image acquisition module is used to acquire multiple images of the load in the barrel during the drying process, wherein the multiple images of the load in the barrel are acquired in at least two acquisition stages during the drying process, and at least one image of the load in the barrel is acquired in each acquisition stage; a drying judgment module, configured to perform a flatness score on each of the plurality of images of the load in the barrel, wherein a flatness score is performed on each load image acquired in each acquisition phase to obtain a flatness score corresponding to each image of the load in the barrel; Determining whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement, and taking the fact that the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement as a necessary condition for ending the drying process, wherein determining whether the flatness scores of the plurality of images of the load in the barrel meet the flatness requirement includes: For each acquisition stage, the value of the evaluation index is calculated based on the flatness score of the load image obtained during the acquisition stage; Comparing an average of the values ​​of the evaluation indicators corresponding to all acquisition stages with a threshold of the evaluation indicators, and if the average is less than the threshold of the evaluation indicators, determining that the flatness scores of the plurality of images of the load in the bucket meet the flatness requirement, wherein the value of the evaluation indicator includes at least one of an average value, a variance average value, and a median value of the flatness score; and, when the average value of the evaluation index is compared with a threshold value of the evaluation index, if the average value is greater than or equal to the threshold value of the evaluation index, obtaining the value of the evaluation index of a new acquisition stage, removing the value of the evaluation index of the earliest acquisition stage, and recalculating the average value of the updated evaluation index value; The average value of the updated evaluation index values ​​is compared with a threshold value of the evaluation index.

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