Drying control method of drying apparatus and drying apparatus

Abstract

The application provides a drying control method of a drying equipment and the drying equipment, and belongs to the technical field of intelligent household appliances. The drying equipment comprises a drying assembly and a spectrum acquisition module. The drying assembly is used for drying treatment on clothes to be dried. The spectrum acquisition module is used for acquiring spectrum image data of the clothes to be dried in a drying process. The drying control method comprises the following steps: acquiring spectrum image data corresponding to multiple moments collected by the spectrum acquisition module, so that, by performing feature analysis on spectrum images in the spectrum image data, the type of the clothes to be dried can be obtained. By performing feature analysis on spectrum data of pixel points on the spectrum images in the spectrum image data, the drying degree of the clothes to be dried can be obtained. Then, the drying assembly can be controlled to perform drying treatment on the clothes to be dried according to the type and the drying degree of the clothes to be dried, so that accurate drying control can be realized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent electrical appliances, and particularly relates to a drying control method of a drying device and the drying device. BACKGROUND

[0002] At present, when drying clothes, the drying device usually judges the drying degree by obtaining the humidity in the drum, and then controls the drying according to the drying degree. However, different types of clothes have different corresponding drying conditions. For example, for clothes with fillers such as down jackets, not only the drying of the surface fabric needs to be considered, but also the drying of the inner core. It is difficult to accurately control the drying according to the humidity in the drum. SUMMARY

[0003] The main purpose of the present application is to provide a drying control method of a drying device and the drying device, which can accurately control the drying by drying the clothes according to the type and drying degree of the clothes to be dried.

[0004] To achieve the above purpose, the present application provides a drying control method of a drying device, which comprises:

[0005] a drying assembly for drying the clothes to be dried;

[0006] a spectrum acquisition module for acquiring spectrum image data of the clothes to be dried during the drying process;

[0007] The drying control method comprises:

[0008] acquiring spectrum image data corresponding to multiple time points acquired by the spectrum acquisition module, wherein the spectrum image data comprises spectrum image information and spectrum data of pixel points on the spectrum image;

[0009] performing feature analysis on the spectrum image information at multiple time points to obtain the type of the clothes to be dried;

[0010] performing feature analysis on the spectrum data of pixel points on the spectrum image at multiple time points to obtain the drying degree of the clothes to be dried;

[0011] controlling the drying assembly to dry the clothes to be dried according to the type and drying degree of the clothes to be dried.

[0012] In an embodiment of the present application, the feature analysis on the spectrum image information at multiple time points to obtain the type of the clothes to be dried comprises:

[0013] perform feature analysis on the spectral images at multiple time points to obtain a first volume of the clothes to be dried at a first time point and a second volume of the clothes to be dried at a second time point, wherein the first time point is a start drying time point, and the second time point is a time point corresponding to a preset time period from the first time point;

[0014] calculate a volume change of the clothes to be dried according to the first volume and the second volume of the clothes to be dried;

[0015] determine a clothes type of the clothes to be dried according to the volume change of the clothes to be dried.

[0016] In an embodiment of the present application, the clothes type includes a first type of clothes and a second type of clothes, and the determination of the clothes type of the clothes to be dried according to the volume change of the clothes to be dried includes:

[0017] when an absolute value of the volume change of the clothes to be dried is greater than a first preset threshold, the clothes to be dried is determined as the first type of clothes;

[0018] when the absolute value of the volume change of the clothes to be dried is not greater than the first preset threshold, the clothes to be dried is determined as the second type of clothes.

[0019] In an embodiment of the present application, the feature analysis on the spectral data of the pixel points on the spectral images at multiple time points to obtain a drying degree of the clothes to be dried includes:

[0020] generating a color change curve according to the spectral data of the pixel points on the spectral images at multiple time points;

[0021] calculating a color change amplitude curve according to the color change curve;

[0022] obtaining a color distribution uniformity at a current time point according to the spectral data of the pixel points on the spectral image at the current time point;

[0023] obtaining the drying degree of the clothes to be dried according to the color change amplitude curve and / or the color distribution uniformity at the current time point.

[0024] In an embodiment of the present application, the generating of the color change curve according to the spectral data of the pixel points on the spectral images at multiple time points includes:

[0025] obtaining a plurality of pixel point spectral curves respectively corresponding to multiple time points according to the spectral data of the pixel points on the spectral images at the multiple time points;

[0026] convert the values corresponding to different wavelength segments in the pixel spectrum curve into color values representing the appearance color of the clothes, to obtain pixel color values corresponding to multiple time points respectively;

[0027] generate a color change curve according to the pixel color values corresponding to multiple time points respectively.

[0028] In an embodiment of the present application, the color distribution uniformity at the current time is obtained according to the spectral data of the pixels on the spectral image at the current time, including:

[0029] obtain multiple pixel spectrum curves at the current time according to the spectral data of the pixels on the spectral image at the current time;

[0030] convert the values corresponding to different wavelength segments in the multiple pixel spectrum curves into color values representing the appearance color of the clothes, to obtain multiple pixel color values corresponding to the current time;

[0031] obtain the color distribution uniformity at the current time according to the multiple pixel color values corresponding to the current time.

[0032] In an embodiment of the present application, the drying degree of the clothes to be dried is obtained according to the color change amplitude curve and / or the color distribution uniformity at the current time, including:

[0033] when the clothes type is the first type of clothes, obtain a first color change amplitude value at a previous time and a second color change amplitude value at the current time according to the color change amplitude curve;

[0034] calculate a first difference value of the first color change amplitude value and the second color change amplitude value;

[0035] determine whether the first color change amplitude value is greater than the second color change amplitude value and whether the first difference value is less than a first preset value, and determine whether the color distribution uniformity at the current time is less than a second preset value;

[0036] when the first color change amplitude value is greater than the second color change amplitude value, the first difference value is less than the first preset value, and the color distribution uniformity at the current time is less than the second preset value, determine that the drying degree of the clothes to be dried is dried;

[0037] when the first color change amplitude value is not greater than the second color change amplitude value, or the first difference value is not less than the first preset value, or the color distribution uniformity at the current time is not less than the second preset value, determine that the drying degree of the clothes to be dried is not dried.

[0038] In an embodiment of the present application, the obtaining the drying degree of the clothes to be dried according to the color change amplitude curve and / or the color distribution uniformity at the current moment comprises:

[0039] When the clothes type is the second clothes type, a first color change amplitude value at a previous moment and a second color change amplitude value at the current moment are obtained according to the color change amplitude curve;

[0040] A first difference value between the first color change amplitude value and the second color change amplitude value is calculated;

[0041] It is judged whether the first color change amplitude value is greater than the second color change amplitude value and whether the first difference value is less than a first preset value;

[0042] When the first color change amplitude value is greater than the second color change amplitude value and the first difference value is less than the first preset value, it is determined that the drying degree of the clothes to be dried is dried;

[0043] When the first color change amplitude value is not greater than the second color change amplitude value or the first difference value is not less than the first preset value, it is determined that the drying degree of the clothes to be dried is not dried.

[0044] In an embodiment of the present application, the controlling the drying assembly to perform drying treatment on the clothes to be dried according to the clothes type and the drying degree of the clothes to be dried comprises:

[0045] It is judged whether the current drying degree of the clothes to be dried meets a drying completion condition corresponding to the clothes type;

[0046] When the current drying degree of the clothes to be dried meets the drying completion condition corresponding to the clothes type, the drying assembly is controlled to end the drying treatment on the clothes to be dried;

[0047] When the current drying degree of the clothes to be dried does not meet the drying completion condition corresponding to the clothes type, the drying assembly is controlled to continue the drying treatment on the clothes to be dried.

[0048] A second aspect of an embodiment of the present application provides a drying device, comprising:

[0049] A drying assembly is configured to perform drying treatment on clothes to be dried;

[0050] A spectrum acquisition module is configured to acquire spectrum image data of the clothes to be dried in a drying process;

[0051] A controller is electrically connected with the drying assembly and the spectrum acquisition module, and is configured to execute the drying control method according to any of the embodiments.

[0052] In the technical scheme provided in the embodiments of the present application, the drying device comprises a drying assembly and a spectrum acquisition module. The drying assembly is configured to perform drying treatment on the clothes to be dried. The spectrum acquisition module is configured to acquire spectrum image data of the clothes to be dried in the drying process. The drying control method comprises: acquiring spectrum image data corresponding to multiple time points acquired by the spectrum acquisition module, so that the clothes type of the clothes to be dried can be obtained by performing feature analysis on spectrum image information in the spectrum image data. The drying degree of the clothes to be dried can be obtained by performing feature analysis on spectrum data of pixel points on the spectrum image in the spectrum image data. Then, the drying treatment can be performed on the clothes to be dried according to the clothes type and the drying degree of the clothes to be dried, so that accurate drying control can be achieved. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 is a flowchart of the drying control method of the drying device provided in the embodiments of the present application;

[0054] Figure 2 is a flowchart of the step of performing feature analysis on spectrum image information corresponding to multiple time points to obtain the clothes type of the clothes to be dried;

[0055] Figure 3 is a flowchart of the step of determining the clothes type of the clothes to be dried according to the volume change of the clothes to be dried;

[0056] Figure 4 is a flowchart of the step of performing feature analysis on spectrum data of pixel points on spectrum images at multiple time points to obtain the drying degree of the clothes to be dried;

[0057] Figure 5 is a flowchart of the step of generating a color change curve according to spectrum data of pixel points on spectrum images at multiple time points;

[0058] Figure 6 is a flowchart of the step of acquiring the color distribution uniformity at the current time according to spectrum data of pixel points on the spectrum image at the current time;

[0059] Figure 7 is a flowchart of the step of obtaining the drying degree of the clothes to be dried according to the color change amplitude curve and / or the color distribution uniformity at the current time;

[0060] Figure 8is another step flowchart provided by the embodiment of the present application, which obtains the drying degree of the clothes to be dried according to the color change range curve and / or the color distribution uniformity at the current moment;

[0061] Figure 9 is a step flowchart provided by the embodiment of the present application, which controls the drying component to perform drying treatment on the clothes to be dried according to the clothes type and the drying degree of the clothes to be dried.

[0062] Figure 10 is a structural schematic diagram of a drying device provided by the embodiment of the present application. DETAILED DESCRIPTION

[0063] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

[0064] It should be noted that although the functional modules are divided in the device schematic diagram, and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a manner different from the module division in the device or the order in the flowchart. The terms "first", "second", etc. in the specification and claims and the above-described drawings are used to distinguish similar objects, and do not necessarily describe a specific order or sequence.

[0065] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs. The terms used herein are only for the purpose of describing the embodiments of the present application, and are not intended to limit the present application.

[0066] With the continuous improvement of people's requirements for the quality of life, clothes drying devices have been widely used. At present, when drying clothes, the drying device usually judges the drying degree by obtaining the humidity in the drum, and then controls the drying according to the drying degree. However, different clothes types have different corresponding drying conditions. For example, for clothes with fillers such as down jackets, not only the drying of the surface fabric needs to be considered, but also the drying of the inner core. It is difficult to accurately control the drying according to the humidity in the drum.

[0067] Based on this, the embodiment of the present application proposes a drying control method of a drying device, which can accurately control the drying by performing drying treatment on the clothes to be dried according to the clothes type and the drying degree of the clothes to be dried.

[0068] Reference Figure 1 , Figure 1is a flowchart of a drying control method of a drying apparatus provided by an embodiment of the present application. The drying apparatus comprises a drying assembly, a spectrum acquisition module, and a controller. The drying assembly is configured to perform drying treatment on clothes to be dried. The spectrum acquisition module is configured to acquire spectrum image data of the clothes to be dried in a drying process. The controller is electrically connected to the drying assembly and the spectrum acquisition module. The drying control method is performed by the controller and comprises, but is not limited to, steps S110 to S140.

[0069] In step S110, spectrum image data corresponding to multiple time points acquired by the spectrum acquisition module is obtained. The spectrum image data comprises spectrum images and spectrum data of pixel points on the spectrum images.

[0070] In an embodiment of the present application, the spectrum acquisition module acquires spectrum image data of clothes to be dried in the drying apparatus at certain time intervals. The spectrum image data comprises spectrum image information and spectrum data of pixel points on the spectrum images. Thus, the spectrum acquisition module can transmit the acquired spectrum image data to the controller, so that the controller can obtain spectrum image data corresponding to multiple time points acquired by the spectrum acquisition module.

[0071] In an embodiment of the present application, the spectrum acquisition module can be a spectrum acquisition device. The spectrum acquisition device can acquire spectrum image data based on spectrum imaging technology. Specifically, the spectrum acquisition module can combine spectrum resolution capability and image resolution capability to realize spectrum analysis in spatial dimensions. For example, through multi-spectrum imaging and hyperspectrum imaging, spectrum data of each pixel point on the spectrum image can be obtained, and spectrum image information under multiple spectrum bands can also be obtained.

[0072] In step S120, feature analysis is performed on spectrum image information corresponding to multiple time points to obtain a clothes type of the clothes to be dried.

[0073] In an embodiment of the present application, the spectrum image data acquired at each time point comprises spectrum image information and spectrum data of each pixel point on the spectrum image. Thus, by performing feature analysis on the acquired spectrum image information corresponding to multiple time points, the clothes type of the clothes to be dried can be obtained.

[0074] Referring to Figure 2 , Figure 2 is a flowchart of a step of performing feature analysis on spectrum image information corresponding to multiple time points to obtain a clothes type of clothes to be dried provided by an embodiment of the present application. The step comprises, but is not limited to, steps S210 to S230.

[0075] In step S210, feature analysis is performed on the spectral images at multiple time points to obtain a first volume of the clothes to be dried at a first time point and a second volume of the clothes to be dried at a second time point, wherein the first time point is a start drying time point, and the second time point is a time point corresponding to a preset time period from the first time point.

[0076] In step S220, the volume change of the clothes to be dried is calculated according to the first volume and the second volume of the clothes to be dried.

[0077] In step S230, the clothes type of the clothes to be dried is determined according to the volume change of the clothes to be dried.

[0078] In the embodiments of the present application, feature analysis is performed on the spectral image information at multiple time points, and the volume of the clothes to be dried at each time point is obtained. Thus, the volume change of the clothes to be dried can be obtained according to the volume of the clothes to be dried at each time point.

[0079] For example, it is assumed that the spectral image information at multiple time points obtained by the controller is spectral image information at a t1 time point, spectral image information at a t2 time point, spectral image information at a t3 time point, and spectral image information at a t4 time point. According to the spectral image information at the t1 time point, the first volume of the clothes to be dried in the drum can be obtained. According to the spectral image information at the t1 time point, the first volume of the clothes to be dried in the drum can be obtained. According to the spectral image information at the t4 time point, the fourth volume of the clothes to be dried in the drum can be obtained. According to the first volume and the fourth volume, the volume change of the clothes to be dried can be calculated.

[0080] Specifically, the spectral image information at a first time point is obtained, feature analysis is performed on the spectral image information at the first time point, and the first volume of the clothes to be dried in the drum at the first time point is obtained. The first time point is a start drying time point. The spectral image information at a second time point is obtained, feature analysis is performed on the spectral image information at the second time point, and the second volume of the clothes to be dried in the drum at the second time point is obtained. The second time point is a time point corresponding to a preset time period from the first time point. The difference between the first volume and the second volume is calculated to obtain the volume change of the clothes to be dried. Thus, the clothes type of the clothes to be dried can be determined according to the obtained volume change.

[0081] In the embodiments of the present application, the state of the clothes changes during the drying process. The clothes are more fluffy when dry than when wet, that is, the volume changes correspondingly during the drying process. The volume change degree is different for different clothes types. For clothes without fillers, the volume change is small during the drying process, while for clothes with fillers such as down jackets, the volume change is large during the drying process. Thus, the clothes type of the clothes to be dried can be determined according to the volume change of the clothes to be dried during the drying process.

[0082] Referring to Figure 3 , Figure 3 is a step flow chart provided by the embodiment of the present application for determining the type of the clothes to be dried according to the volume change of the clothes to be dried, including but not limited to steps S310 to S320.

[0083] Step S310, when the absolute value of the volume change of the clothes to be dried is greater than a first preset threshold, it is determined that the clothes to be dried are the first type of clothes;

[0084] Step S320, when the absolute value of the volume change of the clothes to be dried is not greater than the first preset threshold, it is determined that the clothes to be dried are the second type of clothes.

[0085] In the embodiment of the present application, the type of clothes includes the first type of clothes and the second type of clothes. The first type of clothes is clothes containing a filler type, such as a down jacket. The second type of clothes is clothes without a filler type. By judging whether the absolute value of the volume change of the clothes to be dried is greater than the first preset threshold, it is determined whether the clothes to be dried are the first type of clothes or the second type of clothes. Specifically, when the absolute value of the volume change of the clothes to be dried is greater than the first preset threshold, it is determined that the clothes to be dried are the first type of clothes. When the absolute value of the volume change of the clothes to be dried is not greater than the first preset threshold, it is determined that the clothes to be dried are the second type of clothes.

[0086] It should be noted that in the embodiment of the present application, in order to ensure the accuracy of the determination of the type of clothes, the volume change obtained is generally the volume change between the start time of drying and the time corresponding to the preset time period interval from the start time of drying. Then, the volume change is compared with the first preset threshold, so that the type of the clothes to be dried can be accurately determined.

[0087] Step S130, performing feature analysis on the spectral data of the pixel points on the spectral images at multiple time points to obtain the drying degree of the clothes to be dried.

[0088] In the embodiment of the present application, the spectral image data collected at each time point includes spectral image information and spectral data of each pixel point on the spectral image, so that by performing feature analysis on the spectral data of the pixel points on the spectral images at multiple time points, the drying degree of the clothes to be dried can be obtained.

[0089] Referring to Figure 4 , Figure 4 is a step flow chart provided by the embodiment of the present application for performing feature analysis on the spectral data of the pixel points on the spectral images at multiple time points to obtain the drying degree of the clothes to be dried, including but not limited to steps S410 to S440.

[0090] Step S410, generating a color change curve according to the spectral data of the pixel points on the spectral images at multiple time points.

[0091] In the embodiments of the present application, the spectral data of different pixel points on the spectral images at multiple time points is analyzed to obtain the spectral curves of different pixel points at multiple time points, so that the spectral data of different pixel points on the spectral images can be analyzed by using the Lab color space according to the spectral curves of different pixel points at multiple time points, the values corresponding to different wavelength segments in the spectral curves can be converted into Lab values (color values) representing the appearance color of the clothes, the Lab values of each pixel point can be obtained, and the color change curve can be generated according to the Lab values of each pixel point corresponding to multiple time points.

[0092] Referring to Figure 5 , Figure 5 is a step flowchart provided by the embodiments of the present application for generating a color change curve according to the spectral data of pixel points on spectral images at multiple time points, including but not limited to steps S510 to S530.

[0093] Step S510, obtaining the pixel point spectral curves corresponding to multiple time points respectively according to the spectral data of the pixel points on the spectral images at multiple time points;

[0094] Step S520, converting the values corresponding to different wavelength segments in the pixel point spectral curves into color values representing the appearance color of the clothes to obtain the pixel point color values corresponding to multiple time points respectively;

[0095] Step S530, generating a color change curve according to the pixel point color values corresponding to multiple time points respectively.

[0096] In the embodiments of the present application, the spectral data of pixel points on spectral images at multiple time points is obtained to obtain the pixel point spectral curves corresponding to multiple time points respectively. The values corresponding to different wavelength segments in the pixel point spectral curves are converted into color values representing the appearance color of the clothes to obtain the pixel point color values corresponding to multiple time points respectively. Thus, the color change curve can be generated according to the pixel point color values corresponding to multiple time points respectively.

[0097] Exemplarily, it is assumed that the spectral data of the pixel points on the spectral images at multiple time instants obtained by the controller are respectively the spectral data of the pixel points on the spectral image at the first time instant t1, the spectral data of the pixel points on the spectral image at the second time instant t2, the spectral data of the pixel points on the spectral image at the third time instant t3, and the spectral data of the pixel points on the spectral image at the fourth time instant t4. According to the spectral data of the pixel points on the spectral image at the first time instant t1, the spectral curves of the pixel points on the spectral image at the first time instant t1 can be obtained. For the spectral curves of the pixel points, the values corresponding to different wavelength segments in the spectral curves are converted into Lab values representing the appearance colors of the clothes, so that the Lab values of the pixel points at the first time instant t1 can be obtained. Similarly, for the spectral curves of the pixel points on the spectral image at the second time instant t2, the Lab values of the pixel points at the second time instant t2 can be obtained. For the spectral curves of the pixel points on the spectral image at the third time instant t3, the Lab values of the pixel points at the third time instant t3 can be obtained. For the spectral curves of the pixel points on the spectral image at the fourth time instant t4, the Lab values of the pixel points at the fourth time instant t4 can be obtained. Thus, according to the Lab values of the pixel points at the first time instant t1, the Lab values of the pixel points at the second time instant t2, the Lab values of the pixel points at the third time instant t3, and the Lab values of the pixel points at the fourth time instant t4, the Lab value change curves corresponding to the pixel points, i.e., the color change curves corresponding to the pixel points, can be obtained. Then, the color change curves corresponding to the pixel points are averaged to obtain a final color change curve.

[0098] It should be noted that the values corresponding to different wavelength segments in the spectral curves are the ordinate values corresponding to different wavelength segments in the spectral curve diagram obtained by the spectral acquisition module. When the ordinate is transmittance, the transmittance corresponding to different wavelength segments in the spectral curves is converted into the Lab values representing the appearance colors of the clothes. When the ordinate is absorption, the absorption corresponding to different wavelength segments in the spectral curves is converted into the Lab values representing the appearance colors of the clothes. When the ordinate is intensity, the intensity corresponding to different wavelength segments in the spectral curves is converted into the Lab values representing the appearance colors of the clothes. When the ordinate is relative intensity, the relative intensity corresponding to different wavelength segments in the spectral curves is converted into the Lab values representing the appearance colors of the clothes.

[0099] In an embodiment of the present application, based on the spectral data of each pixel point on the spectral images at multiple time instants, the spectral curves of each pixel point at multiple time instants are obtained. The values corresponding to different wavelength segments in the spectral curves of each pixel point are converted into Lab values representing the appearance colors of the clothes, so that the Lab values of each pixel point at multiple time instants are obtained. According to the Lab values of each pixel point at multiple time instants, the Lab value change curves of each pixel point can be generated. Then, the Lab value change curves of each pixel point are averaged to obtain the color change curves corresponding to multiple time instants.

[0100] In an embodiment of the present application, the spectral data of the target pixel points on the spectral images at multiple time points can also be used to obtain the spectral curves of the target pixel points at the multiple time points respectively. The values corresponding to different wavelength ranges in the spectral curves of the target pixel points are converted into Lab values representing the appearance color of the clothes to obtain the Lab values of the target pixel points at the multiple time points respectively. The Lab value change curves of the target pixel points can be generated according to the Lab values of the target pixel points at the multiple time points respectively. The color change curves corresponding to the multiple time points can be obtained by averaging the Lab value change curves of the target pixel points.

[0101] In step S420, the color change amplitude curve is calculated according to the color change curve.

[0102] In the embodiment of the present application, the color change amplitude curve can be obtained by deriving the color change curve after obtaining the color change curve.

[0103] In step S430, the color distribution uniformity at the current time is obtained according to the spectral data of the pixel points on the spectral image at the current time.

[0104] In the embodiment of the present application, the spectral curves of different pixel points at the current time can be obtained according to the spectral data of different pixel points on the spectral image at the current time, so that the values corresponding to different wavelength ranges in the spectral curves can be converted into Lab values representing the appearance color of the clothes according to the spectral curves of different pixel points at the current time, and the Lab values of each pixel point can be obtained, so that the color distribution uniformity at the current time can be obtained according to the Lab values of each pixel point at the current time.

[0105] Reference Figure 6 , Figure 6 FIG. 6 is a flowchart of a step of obtaining the color distribution uniformity at the current time according to the spectral data of the pixel points on the spectral image at the current time according to an embodiment of the present application, including but not limited to steps S610 to S630.

[0106] In step S610, the spectral curves of multiple pixel points at the current time are obtained according to the spectral data of the pixel points on the spectral image at the current time.

[0107] In step S620, the values corresponding to different wavelength ranges in the spectral curves of the multiple pixel points are converted into color values representing the appearance color of the clothes to obtain the color values of the multiple pixel points at the current time.

[0108] In step S630, the color distribution uniformity at the current time is obtained according to the color values of the multiple pixel points at the current time.

[0109] In the embodiment of the present application, according to the spectral data of the pixel points on the spectral image at the current time, a plurality of pixel point spectral curves at the current time can be obtained. The values corresponding to different wavelength segments in the plurality of pixel point spectral curves are converted into color values representing the appearance color of the clothes, and the Lab values of the plurality of pixel points corresponding to the current time can be obtained. Thus, according to the Lab values of the plurality of pixel points corresponding to the current time, the color distribution uniformity at the current time can be obtained.

[0110] Exemplarily, the controller can obtain the spectral image data collected by the spectral collection module at the current time, so that by performing feature analysis on the spectral data of the pixel points on the spectral image at the current time, the spectral curve of each pixel point on the spectral image at the current time can be obtained. For the spectral curve of each pixel point, the values corresponding to different wavelength segments are converted into Lab values representing the appearance color of the clothes, so that the Lab values of each pixel point at the current time can be obtained. Further, the variance of the Lab values of each pixel point at the current time is calculated, and the color distribution uniformity at the current time can be obtained. The smaller the variance is, the more uniform the color distribution uniformity is. That is, the color distribution uniformity can be represented by the variance.

[0111] Similarly, in the embodiment of the present application, based on the spectral data of each pixel point on the spectral image at the current time, the spectral curve of each pixel point corresponding to the current time is obtained. The values corresponding to different wavelength segments in the spectral curve of each pixel point are converted into Lab values representing the appearance color of the clothes, and the Lab values of each pixel point corresponding to the current time are obtained. The variance of the Lab values of each pixel point at the current time is calculated, and the color distribution uniformity at the current time can be obtained. Based on the spectral data of a plurality of target pixel points on the spectral image at the current time, the spectral curve of each target pixel point corresponding to the current time can be obtained. The values corresponding to different wavelength segments in the spectral curve of each target pixel point are converted into Lab values representing the appearance color of the clothes, and the Lab values of each target pixel point corresponding to the current time are obtained. The variance of the Lab values of each target pixel point at the current time is calculated, and the color distribution uniformity at the current time can be obtained.

[0112] In step S440, the drying degree of the clothes to be dried is obtained according to the color change amplitude curve and / or the color distribution uniformity at the current time.

[0113] In the embodiment of the present application, for the clothes without fillers, the smaller and more stable the color change range is, the higher the drying degree of the clothes is. For the clothes with fillers, not only the drying of the surface fabric is considered, but also the drying of the inner core is considered. That is, for the clothes with fillers, whether the color change range is smaller and more stable and whether the color distribution uniformity at the current moment is uniform are jointly determined to determine the drying degree. In the embodiment of the present application, after the color change curve and the color distribution uniformity at the current moment are obtained, the drying degree can be determined according to the color change range curve, or the drying degree can be determined according to the color distribution uniformity at the current moment, or the drying degree can be determined according to the color change range curve and the color distribution uniformity at the current moment.

[0114] With reference to Figure 7 , Figure 7 is a step flowchart provided by the embodiment of the present application for obtaining the drying degree of the clothes to be dried according to the color change range curve and / or the color distribution uniformity at the current moment, including but not limited to steps S710 to S750.

[0115] Step S710, when the clothes type is the first type of clothes, obtaining a first color change range value at the previous moment and a second color change range value at the current moment according to the color change range curve;

[0116] Step S720, calculating a first difference value of the first color change range value and the second color change range value;

[0117] Step S730, judging whether the first color change range value is greater than the second color change range value and whether the first difference value is less than a first preset value, and judging whether the color distribution uniformity at the current moment is less than a second preset value;

[0118] Step S740, when the first color change range value is greater than the second color change range value, the first difference value is less than the first preset value, and the color distribution uniformity at the current moment is less than the second preset value, determining that the drying degree of the clothes to be dried is dried;

[0119] Step S750, when the first color change range value is not greater than the second color change range value, or the first difference value is not less than the first preset value, or the color distribution uniformity at the current moment is not less than the second preset value, determining that the drying degree of the clothes to be dried is not dried.

[0120] In the embodiments of the present application, when the clothes type of the clothes to be dried is the first clothes type, i.e., when the clothes to be dried are clothes containing a filler type, the first color change amplitude value at the previous time and the second color change amplitude value at the current time are obtained according to the color change amplitude curve. Thus, according to the first color change amplitude value and the second color change amplitude value, the first difference value of the first color change amplitude value and the second color change amplitude value can be calculated. Thus, by judging whether the first color change amplitude value is greater than the second color change amplitude value and whether the first difference value is less than the first preset value, and judging whether the color distribution uniformity at the current time is less than the second preset value, it can be determined whether the drying degree of the clothes to be dried is dried or not dried. Specifically, when the first color change amplitude value is greater than the second color change amplitude value, and the first difference value is less than the first preset value, and the color distribution uniformity at the current time is less than the second preset value, it is determined that the drying degree of the clothes to be dried is dried. When the first color change amplitude value is not greater than the second color change amplitude value, or the first difference value is not less than the first preset value, or the color distribution uniformity at the current time is not less than the second preset value, it is determined that the drying degree of the clothes to be dried is not dried.

[0121] Referring to Figure 8 , Figure 8 is another step flowchart provided by the embodiments of the present application for obtaining the drying degree of the clothes to be dried according to the color change amplitude curve and / or the color distribution uniformity at the current time, including but not limited to steps S810 to S850.

[0122] Step S810, when the clothes type is the second clothes type, the first color change amplitude value at the previous time and the second color change amplitude value at the current time are obtained according to the color change amplitude curve;

[0123] Step S820, the first difference value of the first color change amplitude value and the second color change amplitude value is calculated;

[0124] Step S830, judging whether the first color change amplitude value is greater than the second color change amplitude value and whether the first difference value is less than the first preset value;

[0125] Step S840, when the first color change amplitude value is greater than the second color change amplitude value, and the first difference value is less than the first preset value, it is determined that the drying degree of the clothes to be dried is dried;

[0126] Step S850, when the first color change amplitude value is not greater than the second color change amplitude value, or the first difference value is not less than the first preset value, it is determined that the drying degree of the clothes to be dried is not dried.

[0127] In the embodiment of the present application, when the clothes type of the clothes to be dried is the second clothes type, i.e., when the clothes to be dried are clothes without fillers, the first color change amplitude value at the previous time and the second color change amplitude value at the current time are obtained according to the color change amplitude curve. Thus, according to the first color change amplitude value and the second color change amplitude value, the first difference value between the first color change amplitude value and the second color change amplitude value can be calculated. Thus, by judging whether the first color change amplitude value is greater than the second color change amplitude value and whether the first difference value is less than the first preset value, it can be determined whether the drying degree of the clothes to be dried is dried or not dried. Specifically, when the first color change amplitude value is greater than the second color change amplitude value and the first difference value is less than the first preset value, it is determined that the drying degree of the clothes to be dried is dried. When the first color change amplitude value is not greater than the second color change amplitude value or the first difference value is not less than the first preset value, it is determined that the drying degree of the clothes to be dried is not dried.

[0128] In the embodiment of the present application, when the clothes to be dried are the first clothes type, the drying degree of the clothes to be dried can be determined according to the color change amplitude curve and the color distribution uniformity at the current time. When the clothes to be dried are the second clothes type, the drying degree of the clothes to be dried can be determined according to the color change amplitude curve.

[0129] In step S140, the drying assembly is controlled to perform drying treatment on the clothes to be dried according to the clothes type and the drying degree of the clothes to be dried.

[0130] In the embodiment of the present application, after the clothes type and the drying degree of the clothes to be dried are determined, the drying assembly can be controlled to perform drying treatment on the clothes to be dried by judging whether the current drying degree of the corresponding clothes type meets the drying completion condition.

[0131] Reference Figure 9 , Figure 9 is a step flow chart provided by the embodiment of the present application for controlling the drying assembly to perform drying treatment on the clothes to be dried according to the clothes type and the drying degree of the clothes to be dried, and includes but is not limited to steps S910 to S930.

[0132] In step S910, it is judged whether the current drying degree of the clothes to be dried meets the drying completion condition corresponding to the clothes type.

[0133] In step S920, when the current drying degree of the clothes to be dried meets the drying completion condition corresponding to the clothes type, the drying assembly is controlled to end the drying treatment on the clothes to be dried.

[0134] In step S930, when the current drying degree of the clothes to be dried does not meet the drying completion condition corresponding to the clothes type, the drying assembly is controlled to continue the drying treatment on the clothes to be dried.

[0135] In the embodiments of the present application, when the clothes to be dried are the first type of clothes, i.e., when the clothes to be dried are clothes of the type containing fillers, the drying completion condition corresponding to the first type of clothes is that the first color change amplitude value is greater than the second color change amplitude value, the first difference value is less than the first preset value, and the color distribution uniformity at the current time is less than the second preset value. When the clothes to be dried are the second type of clothes, i.e., when the clothes to be dried are clothes of the type not containing fillers, the drying completion condition corresponding to the second type of clothes is that the first color change amplitude value is greater than the second color change amplitude value, and the first difference value is less than the first preset value. It can be seen that the drying completion conditions corresponding to different types of clothes are different. Therefore, after obtaining the type of clothes to be dried and the drying degree, it is necessary to determine whether the current drying degree of the clothes to be dried meets the drying completion condition corresponding to the type of clothes to control the drying. Specifically, when the clothes to be dried are the first type of clothes, it is determined whether the current drying degree meets the drying completion condition corresponding to the first type of clothes, i.e., it is determined whether the first color change amplitude value is greater than the second color change amplitude value, the first difference value is less than the first preset value, and the color distribution uniformity at the current time is less than the second preset value. If the first color change amplitude value is greater than the second color change amplitude value, the first difference value is less than the first preset value, and the color distribution uniformity at the current time is less than the second preset value, it is determined that the current drying degree of the clothes to be dried meets the drying completion condition corresponding to the first type of clothes, and the controller controls the drying assembly to end the drying process of the clothes to be dried. If the first color change amplitude value is not greater than the second color change amplitude value, or the first difference value is not less than the first preset value, or the color distribution uniformity at the current time is not less than the second preset value, it is determined that the current drying degree of the clothes to be dried does not meet the drying completion condition corresponding to the first type of clothes, and the controller controls the drying assembly to continue the drying process of the clothes to be dried. Similarly, when the clothes to be dried are the second type of clothes, it is determined whether the current drying degree meets the drying completion condition corresponding to the second type of clothes, i.e., it is determined whether the first color change amplitude value is greater than the second color change amplitude value and the first difference value is less than the first preset value. If the first color change amplitude value is greater than the second color change amplitude value, and the first difference value is less than the first preset value, it is determined that the current drying degree of the clothes to be dried meets the drying completion condition corresponding to the second type of clothes, and the controller controls the drying assembly to end the drying process of the clothes to be dried. If the first color change amplitude value is not greater than the second color change amplitude value, or the first difference value is not less than the first preset value, it is determined that the current drying degree of the clothes to be dried does not meet the drying completion condition corresponding to the second type of clothes, and the controller controls the drying assembly to continue the drying process of the clothes to be dried.

[0136] The clothes type of the clothes to be dried can be obtained by performing feature analysis on the spectral image information in the spectral image data. The drying degree of the clothes to be dried can be obtained by performing feature analysis on the spectral data of the pixel points on the spectral image in the spectral image data. Further, the clothes to be dried can be dried according to the clothes type and the drying degree of the clothes to be dried, and accurate drying control can be performed.

[0137] The embodiments of the present application also provide a drying device 1000, referring to Figure 10 , Figure 10 is a structural schematic diagram of the drying device provided by the embodiments of the present application, as shown in the figure, the drying device 1000 comprises: Figure 10

[0138] a drying assembly 1010, configured to perform drying treatment on the clothes to be dried;

[0139] a spectral acquisition module 1020, configured to acquire spectral image data of the clothes to be dried in a drying process;

[0140] a controller 1030, electrically connected with the drying assembly 1010 and the spectral acquisition module 1020, the controller being configured to perform the drying control method provided by any of the embodiments of the present application.

[0141] The controller 1030 of the drying device 1000 provided by the embodiments of the present application can obtain the clothes type and the drying degree of the clothes to be dried by performing feature analysis on the spectral image data acquired by the spectral acquisition module 1020, so that the drying assembly 1010 can perform drying treatment on the clothes to be dried, and accurate drying control can be performed.

[0142] The embodiments described in the embodiments of the present application are for more clearly illustrating the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0143] Those skilled in the art can understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and can include more or fewer steps than the figures shown, or combine certain steps, or different steps.

[0144] The device embodiments described above are only schematic, and the units described as separate components can or can not be physically separate, that is, can be located in one place, or can be distributed on multiple network units. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0145] ​Those skilled in the art can understand that all or some of the steps in the method disclosed above, the function modules / units in the system and the device can be implemented as software, firmware, hardware or appropriate combination thereof.

[0146] The terms "first", "second", "third", "fourth" and the like in the description of the application and in the claims, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the use of these terms herein is to be construed to cover a general order and / or structure unless otherwise indicated. Furthermore, the terms "comprise", "comprising", "has", "having", "includes", "including", "contain", "containing" or any other similar forms are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises, has, includes, contains items or components does not include items or components not explicitly recited. The terms "a" or "an", as used herein in the detailed description and in the claims, mean "one or more" or "at least one", unless otherwise indicated.

[0147] It should be understood that, in the present application, "at least one" means one or more, and "multiple" means two or more. "And / or" is used to describe the relationship between associated objects, which means that there can be three relationships, for example, "A and / or B" can represent three cases: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally represents an "or" relationship between the associated objects. "At least one of the following" or similar expressions means any combination of these items, including any combination of single or multiple items. For example, at least one of a, b or c can mean a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be singular or plural.

[0148] In several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the above units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the displayed or discussed objects can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0149] The units described as separate components above can or can not be physically separate, and the components shown as units can or can not be physical units, that is, can be located in one place, or can be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0150] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit.

[0151] If the integrated unit is realized in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application essentially or the part that contributes to the prior art or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method of each embodiment of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and various program storage media.

[0152] The preferred embodiments of the embodiments of the present application are described above with reference to the accompanying drawings, and are not limited to the scope of the embodiments of the present application. Any modifications, equivalent replacements and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of the present application shall be within the scope of the embodiments of the present application.

Claims

1. A drying control method for a drying device, characterized in that: The drying equipment includes: Drying unit, used to dry clothes; The spectral acquisition module is used to acquire spectral image data of the clothes to be dried during the drying process; The drying control method includes: The spectral image data corresponding to multiple moments acquired by the spectral acquisition module is obtained. The spectral image data includes spectral image information and spectral data of pixels on the spectral image. Feature analysis is performed on the spectral image information at multiple times to obtain the type of clothing to be dried; The degree of drying of the clothes to be dried is obtained by performing feature analysis on the spectral data of pixels in the spectral images at multiple time points. The drying component is controlled to dry the clothes according to the type of clothes and the degree of drying required. The step of performing feature analysis on the spectral data of pixels in the spectral image at multiple time points to obtain the degree of dryness of the clothes to be dried includes: A color change curve is generated based on the spectral data of pixels in the spectral image at multiple time points; Based on the color change curve, the color change amplitude curve is calculated; Based on the spectral data of the pixels in the spectral image at the current moment, obtain the color distribution uniformity at the current moment; The degree of drying of the clothes to be dried is obtained based on the color change amplitude curve and / or the color distribution uniformity at the current moment; The step of determining the degree of dryness of the clothes to be dried based on the color change amplitude curve and / or the color distribution uniformity at the current moment includes: When the clothing type is the first type of clothing, the first color change amplitude value at the previous moment and the second color change amplitude value at the current moment are obtained according to the color change amplitude curve. Calculate the first difference between the first color change amplitude value and the second color change amplitude value; Determine whether the first color change amplitude value is greater than the second color change amplitude value and whether the first difference value is less than a first preset value, and determine whether the color distribution uniformity at the current moment is less than a second preset value; When the first color change amplitude value is greater than the second color change amplitude value, and the first difference is less than the first preset value, and the color distribution uniformity at the current moment is less than the second preset value, the drying degree of the clothes to be dried is determined to be dried. If the first color change amplitude value is not greater than the second color change amplitude value, or the first difference is not less than the first preset value, or the color distribution uniformity at the current moment is not less than the second preset value, the degree of drying of the clothes to be dried is determined to be not dried.

2. The method according to claim 1, characterized in that, The step of performing feature analysis on the spectral image information at multiple time points to obtain the type of clothing to be dried includes: Feature analysis is performed on the spectral images at multiple times to obtain the first volume of the clothes to be dried at the first time and the second volume of the clothes to be dried at the second time, wherein the first time is the time when drying begins and the second time is the time corresponding to a preset time interval from the first time. The volume change of the clothes to be dried is calculated based on the first volume and the second volume of the clothes to be dried; The type of clothing to be dried is determined based on the volume change of the clothing to be dried.

3. The method according to claim 2, characterized in that, The clothing types include first-class clothing and second-class clothing. Determining the clothing type based on the volume change of the clothing to be dried includes: If the absolute value of the volume change of the clothes to be dried is greater than the first preset threshold, then the clothes to be dried are determined to be the first type of clothes. If the absolute value of the volume change of the clothes to be dried is not greater than the first preset threshold, then the clothes to be dried are determined to be the second type of clothes.

4. The method according to claim 1, characterized in that, The step of generating a color change curve based on the spectral data of pixels in the spectral image at multiple time points includes: Based on the spectral data of pixels in the spectral image at multiple times, the spectral curves of pixels at each time time are obtained. The values ​​corresponding to different wavelengths in the pixel spectral curve are converted into color values ​​that characterize the color of the clothing appearance, thus obtaining pixel color values ​​corresponding to multiple times. A color change curve is generated based on the pixel color values ​​corresponding to multiple time points.

5. The method according to claim 1, characterized in that, The step of obtaining the color distribution uniformity at the current moment based on the spectral data of the pixels in the spectral image at the current moment includes: Based on the spectral data of the pixels in the spectral image at the current moment, the spectral curves of multiple pixels at the current moment are obtained; The values ​​corresponding to different wavelengths in the spectral curves of multiple pixels are converted into color values ​​that characterize the color of the clothing appearance, thus obtaining the color values ​​of multiple pixels corresponding to the current moment. The color distribution uniformity at the current moment is obtained based on the color values ​​of multiple pixels corresponding to the current moment.

6. The method according to claim 1, characterized in that, The step of determining the degree of dryness of the clothes to be dried based on the color change amplitude curve and / or the color distribution uniformity at the current moment includes: When the clothing type is the second type of clothing, the first color change amplitude value at the previous moment and the second color change amplitude value at the current moment are obtained according to the color change amplitude curve. Calculate the first difference between the first color change amplitude value and the second color change amplitude value; Determine whether the first color change amplitude value is greater than the second color change amplitude value and whether the first difference value is less than a first preset value; When the first color change amplitude value is greater than the second color change amplitude value, and the first difference value is less than the first preset value, the degree of drying of the clothes to be dried is determined to be that they are dried. If the first color change amplitude value is not greater than the second color change amplitude value, or the first difference value is not less than the first preset value, the degree of drying of the clothes to be dried is determined to be not dried.

7. The method according to claim 1, characterized in that, The step of controlling the drying component to dry the clothes according to the type and degree of drying of the clothes to be dried includes: Determine whether the current drying status of the clothes to be dried meets the drying completion conditions corresponding to the type of clothes; When the current drying degree of the clothes to be dried meets the drying completion condition corresponding to the type of clothes, the drying component is controlled to end the drying process of the clothes to be dried. If the current drying degree of the clothes to be dried does not meet the drying completion conditions corresponding to the type of clothes, the drying component is controlled to continue drying the clothes to be dried.

8. A drying device, characterized in that, include: Drying unit, used to dry clothes; The spectral acquisition module is used to acquire spectral image data of the clothes to be dried during the drying process; A controller, electrically connected to the drying assembly and the spectral acquisition module, is used to perform the method according to any one of claims 1-7.

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