CN110735283A - Washing machine and laundry washing control method - Google Patents

Abstract

The present invention provides a washing machine and a method for controlling laundry washing. The washing machine includes: an outer tub, an inner tub rotatably arranged in the outer tub for accommodating clothes to be washed, and a hyperspectral imaging device for photographing a clothes placement area of the inner tub, and the clothes washing control method includes: detecting that the inner tub is damaged by The event of putting in the laundry to be washed; driving the inner tub to rotate stepwise at a set angle; controlling the hyperspectral imaging device to take pictures within the interval of the stepping rotation of the inner tub, and obtaining a large number of the laundry to be washed by the hyperspectral imaging device. group hyperspectral images; perform feature extraction on multiple groups of hyperspectral images to obtain the feature information of multiple groups of hyperspectral images; confirm the material information of the clothes to be washed according to the feature information of the multiple groups of hyperspectral images, and according to the material information of the clothes to be washed Information configures alternative washing programs for users to choose from. The solution of the present invention improves the washing efficiency and improves the user experience.

Description

Washing machine and laundry washing control method

technical field

The present invention relates to a washing machine, in particular to a washing machine and a method for controlling laundry washing.

Background technique

With the improvement of people's living standards and the drive of consumption upgrades, consumers' positioning of household appliances is also changing, from the initial functional needs to the pursuit of quality of life. The washing machine has gradually transformed from the original simple laundry to a home care center, which also poses new challenges to intelligent washing machines. Of course, it also provides an opportunity for the application of various intelligent identification technologies in washing machine products. Using intelligent recognition technology to realize intelligent washing and care of clothes on washing machines has also become the development trend of intelligent washing machines.

However, due to the different materials of various types of clothing, even each piece of clothing is composed of different materials, such as pure cotton, linen, silk, chemical fiber, wool, down, leather, blended, polyester and so on. Information such as washing time, washing intensity, detergent dosage, and rinsing times required for each material are different, and existing washing machines can only select one washing program, which does not fully consider the washing needs of each clothing material. In this case, the laundry effect is often not ideal, either excessive washing causes waste of water, electricity, and detergent, or the laundry is not clean.

At present, the washing method of most smart washing machines is to add clothes to the washing machine, and then manually select a washing mode; or select the clothes material first, and then preset the washing mode according to the clothes material, weight and other information. The laundry mode mainly includes washing time, washing intensity, and washing action such as the amount of detergent added and the number of rinsing. The washing machine of this type of washing machine has a low level of intelligence and cannot be fully automatic and achieve the best washing effect.

SUMMARY OF THE INVENTION

An object of the present invention is to provide a washing machine that automatically determines and executes a washing program, reducing user operations.

A further object of the present invention is to make the determined washing plan match the laundry to be washed, and ensure the washing effect under the condition of reducing the washing damage of the laundry.

In particular, according to an aspect of the present invention, there is provided a laundry washing control method of a washing machine, wherein the washing machine includes: an outer tub, an inner tub rotatably provided in the outer tub for accommodating laundry to be washed, and a A hyperspectral imaging device for photographing in a clothes placement area, and the clothes washing control method includes: detecting the event of the inner tub being put into the laundry to be washed; driving the inner tub to rotate stepwise at a set angle; Controlling the hyperspectral imaging device to shoot, and acquiring multiple sets of hyperspectral images of the laundry to be washed by the hyperspectral imaging device; performing feature extraction on the multiple sets of hyperspectral images respectively to obtain the feature information of multiple sets of hyperspectral images; according to the multiple sets of hyperspectral images The feature information of the hyperspectral image confirms the material information of the clothes to be washed, and configures an alternative washing plan according to the material information of the clothes to be washed for the user to choose.

Optionally, the step of driving the inner tub to rotate stepwise at a set angle includes: ending the rotation after the inner tub rotates for a set number of turns, and the set angle is set to be 30 degrees to 180 degrees.

Optionally, the step of confirming the material information of the clothes to be washed according to the feature information of the multiple sets of hyperspectral images includes: judging whether the clothes to be washed have a single material according to the feature information of the multiple sets of hyperspectral images; if so, determining the washing corresponding to the single material. protocol as an alternative wash protocol.

Optionally, when the laundry to be washed has multiple materials, washing schemes corresponding to the multiple materials are determined respectively, and an alternative washing scheme is selected from the corresponding washing schemes of the multiple materials.

Optionally, the step of selecting an alternative washing scheme from the corresponding washing schemes of multiple materials includes: selecting a scheme with the least damage to the laundry to be washed from the corresponding washing schemes of multiple materials as an alternative washing scheme; or selecting from multiple washing schemes. Among the corresponding washing schemes of various materials, the scheme with the least washing time is selected as the alternative washing scheme.

Optionally, in the case that the corresponding washing schemes of the multiple materials cannot meet the washing requirements of all the multiple materials, a prompt message is output for prompting that the laundry to be washed cannot be mixed.

Optionally, the step of judging whether the laundry to be washed has a single material according to the characteristic information of the multiple sets of hyperspectral images includes: using a preset material identification model to identify the characteristic peaks of the spectral data of the multiple sets of hyperspectral images to obtain the spectral data. The material type corresponding to the characteristic peaks of , wherein the material identification model is pre-trained according to various clothing materials and the characteristic peaks of the corresponding spectral data; according to the identification results of multiple sets of hyperspectral images, it is judged whether there is a single material.

Optionally, the process of controlling the hyperspectral imaging device to shoot further includes: activating a wide-spectrum light source corresponding to the hyperspectral imaging device to provide wide-spectrum light required for shooting.

Optionally, the washing program specifies any one or more of the following contents: washing time, washing intensity, detergent addition amount, detergent type, and rinsing times.

According to another aspect of the present invention, there is also provided a washing machine, comprising: an outer tub for accommodating washing water; an inner tub rotatably arranged in the outer tub for accommodating laundry to be washed; a hyperspectral imaging device, arranged in Inside the outer tub, the photographing direction of which is configured to face the clothes placement area of the inner tub, for photographing hyperspectral images of the clothes to be washed; and a controller, which includes a memory and a processor, wherein a computer program is stored in the memory, and the computer program is processed by the processor When executed, any one of the above-mentioned laundry washing control methods is realized.

In the washing machine and the clothes washing control method of the present invention, the hyperspectral imaging device is used to photograph the clothes placement area of the inner tub, and the washing plan is obtained by analyzing the hyperspectral image obtained by the photographing. Due to the comprehensive image data and spectral data in the hyperspectral image, the material of the clothes to be washed can be accurately determined, the determined washing plan is suitable for the washed clothes, the washing plan is more targeted, the washing efficiency is improved, and the guarantee Under the premise of washing clean, it can effectively reduce the damage caused by washing and wear of clothes. In addition, in order to prevent the problem that the material of all the clothes cannot be determined due to the accumulation of some clothes after the clothes are put in, after detecting the event of the clothes to be washed being put into the inner tub; drive the inner tub to rotate step by step at a set angle; During the interval between the stepping rotation of the inner barrel, the hyperspectral imaging device is controlled to take multiple shots, so as to obtain a more comprehensive hyperspectral image.

Further, the washing machine and the clothes washing control method of the present invention use the controller to configure the washing plan according to the hyperspectral image, comprehensively use the image feature information and the feature spectrum information, and can also process the clothes to be washed with different materials, further improving the performance of the washing machine. experience of using the washing machine.

The above and other objects, advantages and features of the present invention will be more apparent to those skilled in the art from the following detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings.

Description of drawings

Hereinafter, some specific embodiments of the present invention will be described in detail by way of example and not limitation with reference to the accompanying drawings. The same reference numbers in the figures designate the same or similar parts or parts. It will be understood by those skilled in the art that the drawings are not necessarily to scale. In the attached picture:

FIG. 1 is a schematic diagram of the appearance of a washing machine according to an embodiment of the present invention;

2 is a schematic diagram of the internal structure of a washing machine according to an embodiment of the present invention;

3 is a schematic block diagram of the control of a washing machine according to an embodiment of the present invention;

4 is a schematic diagram of a laundry washing control method of a washing machine according to an embodiment of the present invention;

5 is a schematic diagram of an overall process of washing clothes by a washing machine according to an embodiment of the present invention;

FIG. 6 is a data flow diagram for determining a clothing material by a washing machine according to an embodiment of the present invention; and

FIG. 7 is a flowchart of a washing machine determining a washing scheme according to an embodiment of the present invention.

Detailed ways

This embodiment first provides a washing machine 10 , which automatically determines a washing plan by means of hyperspectral image analysis technology, and effectively reduces damage caused by washing and wear of clothes on the premise of ensuring clean washing.

1 is a schematic external view of a washing machine 10 according to an embodiment of the present invention, FIG. 2 is a schematic diagram of an internal structure of the washing machine 10 according to an embodiment of the present invention, and FIG. 3 is a schematic control block diagram of the washing machine 10 according to an embodiment of the present invention .

The washing machine 10 of this embodiment may generally include: an outer tub 110 , an inner tub 120 , a hyperspectral imaging device 200 , a controller 300 , and a washing execution system 400 . The washing machine 10 of the present embodiment is described as an example of a front-loading drum washing machine. Since the washing machines of other structures generally differ only in the structure and supporting method of the inner tub 120 and the outer tub 110, the working principle is basically the same as that of other structures. On the basis of understanding that the solution of the present embodiment is applied to the front-loading drum washing machine, the ordinary skilled person of the present invention has the ability to apply the solution of the present embodiment to washing machines of other structures.

The outer tub 110 of the washing machine 10 is used for accommodating washing water; the inner tub 120 is rotatably disposed in the outer tub 110 for accommodating the laundry to be washed. The front of the inner tub 120 may have an opening into which the clothes are put in. The inner tub 120 has a plurality of lifting ribs, which are driven by the motor 430 and the transmission mechanism to rotate regularly, so that the clothes to be washed are rolled and rubbed in the inner tub 120 to achieve the purpose of washing. The washing machine 10 can be controlled to perform washing operations such as water feeding, detergent dispensing, washing, heating, rinsing, draining, and dehydration. Since the specific washing structure is known to those skilled in the art, it will not be repeated here.

As the materials for washing clothes are becoming more and more abundant, and the characteristics of the washing clothes of each material lead to different washing requirements (such as different requirements for washing time, washing intensity, detergent addition, rinsing times, and dehydration intensity). The traditional washing control mode selected by the user from preset washing modes can no longer meet the needs of the user. In the washing machine 10 of the present embodiment, the hyperspectral imaging device 200 is used to photograph the clothes placement area of the inner tub 120, and the controller 300 can analyze and obtain a washing plan according to the hyperspectral image obtained by photographing and control the washing execution system 400 to execute, so that it can Accurately determine the material of the clothes to be washed, the determined washing plan is suitable for the clothes to be washed, the washing plan is more targeted, the washing efficiency is improved, and the washing and wear of the clothes is effectively reduced on the premise of ensuring the washing is clean. damage caused.

The hyperspectral imaging device 200 may be disposed at the upper part of the opening (ie, the upper part of the inner side of the door body 130 ), and its photographing direction is configured to face the clothes placing area of the inner tub 120 (ie, the middle and lower regions of the inner tub 120 ), and is configured to photograph Obtain a hyperspectral image of the laundry to be washed.

An optional arrangement structure is: the hyperspectral imaging device 200 is installed at the position of the outer tub 110 close to the door body 130, and a transparent cover 210 is also provided at the installation position of the hyperspectral imaging device 200, so that the hyperspectral imaging device 200 is spatially isolated from the inner barrel 120 .

The side of the transparent cover 210 facing the inner tub 120 is coated with a super-hydrophobic nano-coating layer to avoid water stains that affect the shooting effect of the hyperspectral imaging device 200 . The super-hydrophobic nano-coating can be mainly prepared based on acrylic polyurethane, with good wear resistance, excellent mechanical properties, and good resistance to strong acid and strong alkaline media; in the experimental stage, the super-hydrophobic nano-coating was polished with sandpaper After 300 times, the contact angle is still greater than 150°, and the hydrophobic effect is better.

Using the super-hydrophobic nano-coating, the transparent cover 210 will not form water spots and accumulation, which satisfies the requirements of the hyperspectral imaging device 200 for shooting in the washing machine 10 .

Since the light inside the washing machine 10 cannot meet the shooting requirements, the washing machine 10 further includes: a wide-spectrum light source 220 , which is also disposed on the upper part of the opening, and is used to provide shooting light for the hyperspectral imaging device 200 .

The broad-spectrum light source 220 may include: an integrated LED whose emission spectrum range is set to reach 400 to 2400 nm. In this embodiment, one or more integrated LEDs may be arranged, for example, the integrated LEDs may be arranged around the hyperspectral imaging device 200 and shielded by the transparent cover 210 .

In other embodiments, the wide-spectrum light source 220 may also be provided independently from the hyperspectral imaging device 200 , for example, placed on both sides of the upper portion of the door body 130 of the washing machine 10 .

The hyperspectral image captured by the hyperspectral imaging device 200 may include image data and spectral data, for example, each pixel point may include image pixel elements and spectral wavelength elements of the pixel, that is, each pixel point is a multivariate data set, which includes: Multiple image pixel element data and a set of spectral wavelength elements. Therefore, the hyperspectral data obtains continuous spectral data of each pixel and continuous image data of each spectral band at the same time. Hyperspectral images are optical images of continuous wavelengths, the spectral range can be set from 200nm to 2500nm, with higher spectral resolution, the resolution can reach 2-3nm. In this embodiment, in order to meet the identification requirements of clothing materials, the spectral range of the hyperspectral image can be set to 1200 to 2400 nm.

In order to prevent the problem that the material of all the clothes cannot be determined due to some clothes being blocked due to accumulation after the clothes are put in, after detecting the event of the clothes to be washed being put into the inner tub 120; the inner tub 120 is driven to rotate step by step at a set angle; The hyperspectral imaging device 200 is controlled to shoot multiple times within the interval of the stepping rotation of the inner barrel, thereby obtaining multiple sets of hyperspectral images, and processing the multiple sets of hyperspectral images respectively, so as to obtain more accurate identification results.

The controller 300 includes a memory 310 and a processor 320, and a computer program is stored in the memory 310. When the computer program is executed by the processor 320, the hyperspectral image can be processed, the washing scheme can be automatically determined, and the washing execution system 400 can be controlled to complete the washing scheme, The automatic washing function of the washing machine 10 is realized. The laundry washing control method of the washing machine 10 of this embodiment will be introduced below.

4 is a schematic diagram of a laundry washing control method of a washing machine according to an embodiment of the present invention. The laundry washing control method of the washing machine is executed by the processor 320 of the controller 300 of the washing machine 10 in the above embodiment to complete the control of laundry washing. The laundry washing control method of the washing machine may include:

Step S402, detecting the event of the clothes to be washed being put into the inner tub 120, for example, after confirming that the door of the washing machine 10 is closed, detecting whether the clothes to be washed are put in; in the case of confirming that the clothes to be washed are put in, control the hyperspectral imaging device 200 for hyperspectral image capture.

The process of acquiring the door closing signal of the washing machine 10 may include: controlling the hyperspectral imaging device 200 to photograph the clothes placement area to obtain image data of the clothes placement area; determining whether there is clothes in the clothes placement area according to the image data; Compare with the washing history data to confirm whether the clothes in the clothes storage area are the clothes washed before the door is opened. If it is not the clothes washed before the door is opened, it is determined to put the clothes to be washed. There is a situation where the laundry from the previous wash is taken out all at once and the washing is repeated. After it is determined to put in the laundry to be washed, the subsequent process of determining and executing the washing plan begins.

Step S404, drive the inner tub 120 to rotate stepwise at a set angle; control the hyperspectral imaging device 200 to take pictures within the interval of the stepwise rotation of the inner tub 120, and acquire multiple sets of heights of the clothes to be washed obtained by the hyperspectral imaging device 200. Spectral image.

The inner barrel 120 is driven to rotate step by step at a set angle, and the angle of each rotation can be set according to the lifting rib of the inner barrel 120 , for example, 30 degrees to 180 degrees. The rotation ends after completing the set number of laps, allowing multiple sets of hyperspectral images to be captured. During the shooting process, a broad-spectrum light source 220 corresponding to the hyperspectral imaging device 200 can also be activated to provide broad-spectrum light required for shooting.

In step S406, feature extraction is performed on the multiple sets of hyperspectral images, respectively, to obtain feature information of multiple sets of hyperspectral images. Extracting the characteristic information of the hyperspectral image may include characteristic peaks of the spectral data in the hyperspectral image, and the process of using the characteristic peaks of the spectral data to identify the material of the clothes to be washed may include: using a preset material identification model to perform the characteristic peaks of the spectral data. Identify, obtain the material type corresponding to the characteristic peak of the spectral data, wherein the material identification model is pre-trained according to various clothing materials and the characteristic peak of the corresponding spectral data. When training the material recognition model, various materials such as wool, cotton, blended, silk, polyester, nylon, hemp and other materials and their spectral data can be used in combination with chemometric algorithms to form training samples. For example: the spectral characteristic peak of pure cotton material is 1950nm; the spectral characteristic peak of chemical fiber fabric is 1400nm.

Since there may be multiple pieces of laundry and their materials may also be multiple, the step of extracting the characteristic information of each group of hyperspectral images may further include: using a neural network algorithm to perform image recognition on the image data, and determine different extractions of the image data. region; extract the characteristic peaks of the spectral data of each region from the extraction region, so as to determine the clothing material of each region respectively. For example, using neural network algorithm to perform image recognition on image data can identify areas with different image characteristics (including areas with different colors and different light intensities) in the clothing placement area, and use these areas with different image characteristics as Extracting regions, extracting characteristic peaks of the spectral data respectively, and determining the clothing material according to the characteristic peaks of the spectral data in each region.

Step S408 , confirm the material information of the clothes to be washed according to the feature information of the multiple sets of hyperspectral images, and configure an alternative washing scheme according to the material information of the clothes to be washed for the user to select.

In the case where it is judged that the laundry to be washed has a single material according to the feature information of multiple sets of hyperspectral images, a washing scheme corresponding to the single material can be determined as an alternative washing scheme. When the laundry to be washed has multiple materials, washing schemes corresponding to the multiple materials are determined respectively, and an alternative washing scheme is selected from the corresponding washing schemes of the multiple materials. From the corresponding washing schemes of multiple materials, the scheme with the least damage to the clothes to be washed is selected as the alternative washing scheme; or the scheme with the least washing time is selected from the corresponding washing schemes of multiple materials as the alternative washing scheme.

Because some materials of clothing cannot be washed together, such as silk materials and some chemical fiber materials, the cleaning requirements are different, and washing at the same time cannot meet the cleaning of all clothing, and may damage the clothing. Therefore, when it is determined that the material of the laundry to be washed is not suitable for simultaneous washing or an alternative washing scheme cannot be determined, prompt information can also be output to prompt the user to intervene.

In the case that there is no alternative solution from the corresponding washing solutions of multiple materials, prompt information is output to prompt that the laundry to be washed cannot be mixed. In the case where the washing machine 10 of this embodiment is provided with the display screen 500, the display screen 500 can be used to output an interface corresponding to the washing plan, for example, the above prompt information, which may include information on the material of clothes that cannot be washed at the same time, to remind the user Instructions for removing clothes, etc.

The washing execution system 400 may include a detergent dispensing device 410 for dispensing detergent into the outer tub 110 during the washing process, a water inlet device 420 for releasing water into the outer tub 110 during the washing process, and driving the inner tub 120 The motor 430, the drainage device 440 and the like are rotated and driven. The washing execution system 400 may execute the controller 300 to determine the washing scheme, and automatically complete the washing process.

During the washing process, the hyperspectral imaging device 200 can also be used to photograph the washing mixture or the rinsing waste liquid after rinsing to obtain hyperspectral images of the washing mixture and the rinsing waste liquid, so as to utilize the washing mixture and the rinsing waste liquid. The hyperspectral image of the liquid determines the detergent concentration in the wash mixture and in the rinse effluent to make adjustments to the washing process.

For example, after the washing plan is determined, the detergent feeding device 410 can be controlled to dose the detergent according to the initial dose; the hyperspectral imaging device 200 starts to photograph the washing mixture, and determines the washing mixture according to the hyperspectral image feature information of the washing mixture The detergent concentration in the liquid; when the detergent concentration in the washing mixture is lower than the washing target concentration, the detergent feeding device is controlled to increase the dose of the detergent.

The step of determining the detergent concentration of the washing mixture according to the hyperspectral image feature information of the washing mixture includes: selecting multiple pixels in different regions of the hyperspectral image of the washing mixture, and acquiring spectral data of the multiple pixels respectively; extracting The spectral curve of the spectral data of multiple pixel points; use the preset detergent concentration detection model to identify the spectral curve of the spectral data of multiple pixel points respectively, and obtain the corresponding detergent concentration at the multiple pixel points, wherein the detergent concentration The concentration detection model is obtained by pre-training the spectral curve of the washing mixture with different detergent concentrations; using a chemometric algorithm to comprehensively determine the corresponding detergent concentrations at multiple pixel points, the detergent concentration of the washing mixture is obtained.

After the washing machine completes rinsing, the hyperspectral imaging device 200 may also photograph the rinsing waste liquid, and acquire a hyperspectral image of the rinsing waste liquid captured by the hyperspectral imaging device 200 . Therefore, the detergent concentration in the rinsing waste liquid can be determined according to the hyperspectral image feature information of the rinsing waste liquid; when the detergent concentration in the rinsing waste liquid is higher than the rinsing target concentration, the washing machine is controlled to perform rinsing again. The analysis process of the hyperspectral image of the rinsing waste liquid is basically the same as the determination of the detergent concentration of the washing mixture, and will not be repeated here.

Through the content (concentration) of the detergent, the washing conditions can be more in line with the requirements of the clothing material, and whether the washing is clean can be determined through the detergent concentration of the washing waste liquid, which further improves the washing effect.

FIG. 5 is a schematic diagram of an overall process of washing clothes by the washing machine 10 according to an embodiment of the present invention, and the washing process includes:

Step S502, start the washing machine 10;

Step S504, rotating the inner tub 120, and controlling the hyperspectral imaging device 200 to shoot during the rotation process, to obtain multiple sets of hyperspectral images of the laundry to be washed;

Step S506, identifying the material of all the clothes to be washed;

Step S508, determining a washing scheme that matches the material, and reminding the user if the material cannot be shuffled;

Step S510, discharge water and add detergent according to the washing plan;

Step S512, taking a hyperspectral image of the washing mixture, identifying the detergent concentration of the washing mixture, judging whether the detergent needs to be replenished, and if it needs to be replenished, adding the detergent;

Step S514, performing washing and rinsing processes. The number and intensity of washes and the number and intensity of rinses are determined by the wash schedule.

Step S516 , taking a hyperspectral image of the rinsing waste liquid, identifying the detergent concentration of the rinsing waste liquid, judging whether the rinse is clean, and if not, increasing the rinsing.

Step S518, reminding the user that the washing is finished.

After the clothes to be washed are put into the inner tub 120, the washing machine 10 is started, the inner tub 120 is driven to rotate step by step, the wide-spectrum light source 220 and the hyperspectral imaging device are activated, and multiple sets of hyperspectral images of the clothes to be washed are captured during the rotation interval. Group hyperspectral images to extract image data and spectral data respectively. Material identification can be performed using the above data. After identification, determine the washing program that matches the material. The wash program sets the wash time, wash intensity, amount of detergent added and number of rinses.

After the washing plan is determined, water is automatically released and detergent is added. Since the amount of detergent added may meet the washing needs, the hyperspectral imaging device can be used to detect the detergent concentration. If the detergent concentration is not enough, try again. Add the amount of detergent until the wash requirements are met.

Before the end of washing, use the hyperspectral imaging device again to detect the detergent concentration of the rinsing waste liquid. If the detergent concentration is small enough, the washing process ends, but if the concentration is too high, continue rinsing until the detergent concentration is small enough to end the wash.

FIG. 6 is a data flow diagram for determining the clothing material by the washing machine 10 according to an embodiment of the present invention. In the figure, the solid frame is a data block, and the dashed frame is a data processing process. The hyperspectral imaging device 200 photographed the clothes to be washed. The hyperspectral image includes image data and spectral data, wherein the image data is calculated by neural network algorithm to determine the number of clothes, and then the number of clothes and spectral data are submitted to the Forbidden City chemical calculation algorithm model to calculate and identify the clothes material to obtain the clothes material information.

The material of clothing is identified through the combination of image data and spectral data in the hyperspectral image data, in which the image data can be used for type identification, and the neural network algorithm is used to identify the type information of all the clothing photographed. The material detection of each piece of clothing is carried out, and the spectral range is 1200-2400 nm; the absorption peak positions and intensities of different molecular groups in the clothing material are different. Information and content information of different materials.

7 is a flow chart of the washing machine 10 determining a washing plan according to an embodiment of the present invention, and the flow includes:

Step S702, identifying a variety of clothing materials according to the hyperspectral image;

Step S704, judging whether multiple materials can be shuffled;

Step S706, whether to use the washing scheme with the least damage, if the washing scheme with the least damage is used as the washing scheme used;

Step S708, whether to use the washing scheme with the shortest time, if the washing scheme with the shortest time is used as the washing scheme;

Step S710, whether to use a user-defined washing scheme, that is, use a washing scheme selected by the user;

Step S712, a washing and releasing scheme is determined for execution;

Step S720, outputting a prompt that cannot be washed, prompting the user to take out some clothes.

In the case of mixing multiple pieces of clothing at the same time, if it is identified that the materials of the clothing are the same or the washing parameters are similar, the mixing can be performed. Since each laundry is not necessarily the same optimal washing parameter, a compromise between washing modes is required. First, recommend the washing mode with the least damage to the clothes. If the user approves, then start washing; if not, then recommend the washing mode with the shortest washing time, if approved, start washing; if not, carry out the user-defined washing mode.

For the case of mixing multiple clothes at the same time, if it is recognized that the materials of the clothes are different, and it is judged that they cannot be shuffled, it is necessary to point out the clothes that cannot be shuffled, remind the user to take out the clothes, and determine whether they can be shuffled. Yes, you need to prompt the user to take it out.

In the washing machine and the clothes washing control method of the present embodiment, a hyperspectral imaging device is used to photograph the clothes placement area of the inner tub, and a washing plan is obtained by analyzing the hyperspectral image obtained by the photographing. Due to the comprehensive image data and spectral data in the hyperspectral image, the material of the clothes to be washed can be accurately determined, the determined washing plan is suitable for the washed clothes, the washing plan is more targeted, the washing efficiency is improved, and the guarantee Under the premise of washing clean, it can effectively reduce the damage caused by washing and wear of clothes.

By now, those skilled in the art will recognize that, although various exemplary embodiments of the present invention have been illustrated and described in detail herein, the present invention may still be implemented in accordance with the present disclosure without departing from the spirit and scope of the present invention. The content directly determines or derives many other variations or modifications consistent with the principles of the invention. Accordingly, the scope of the present invention should be understood and deemed to cover all such other variations or modifications.

Claims (10)

1. A laundry washing control method for a washing machine, the washing machine comprising: an outer tub, an inner tub rotatably arranged in the outer tub for accommodating clothes to be washed, and a clothes placement area for the inner tub. A photographed hyperspectral imaging device, and the laundry washing control method includes: Detecting the event that the inner tub is put into the laundry to be washed; Drive the inner barrel to rotate step by step at a set angle; Controlling the hyperspectral imaging device to photograph within the interval between the step rotation of the inner tub, and acquiring multiple sets of hyperspectral images of the laundry to be washed obtained by photographing the hyperspectral imaging device; Perform feature extraction on multiple sets of the hyperspectral images respectively to obtain feature information of multiple sets of the hyperspectral images; The material information of the laundry to be washed is confirmed according to the characteristic information of the plurality of sets of the hyperspectral images, and an alternative washing scheme is configured according to the material information of the laundry to be washed for the user to select. 2. The method according to claim 1, wherein the step of driving the inner barrel to rotate stepwise at a set angle comprises: The rotation is ended after the inner barrel rotates a set number of times, and the set angle is set to 30 degrees to 180 degrees. 3. The method according to claim 2, wherein the step of confirming the material information of the laundry to be washed according to the characteristic information of multiple sets of the hyperspectral images comprises: Determine whether the laundry to be washed has a single material according to the feature information of the multiple sets of the hyperspectral images; If so, determine the washing scheme corresponding to the single material as the alternative washing scheme. 4. The method of claim 3, wherein In the case that the clothes to be washed have multiple materials, the washing schemes corresponding to the multiple materials are respectively determined, and the alternative washing scheme is selected from the washing schemes corresponding to the multiple materials. 5. The method of claim 4, wherein the step of selecting the alternative washing regimen from the corresponding washing regimens for a plurality of the materials comprises: Selecting a scheme with the least damage to the laundry from among the corresponding washing schemes of a plurality of the materials as the alternative washing scheme; or The alternative washing scheme is selected from the corresponding washing schemes of a plurality of the materials with the least washing time. 6. The method of claim 4, wherein In the case that the corresponding washing schemes of the various materials cannot meet the washing requirements of all the various materials, a prompt message is output to prompt that the laundry to be washed cannot be mixed. 7. The method according to claim 3, wherein the step of judging whether the laundry to be washed has a single material according to the feature information of multiple sets of the hyperspectral images comprises: Using a preset material identification model to identify the characteristic peaks of the spectral data of the multiple sets of the hyperspectral images, to obtain the material types corresponding to the characteristic peaks of the spectral data, wherein the material identification model is preliminarily based on various clothing materials and The characteristic peak training of the corresponding spectral data is obtained; Whether there is a single material is determined according to the identification results of the multiple sets of the hyperspectral images. 8. The method according to claim 1, wherein the process of controlling the hyperspectral imaging device to shoot further comprises: A wide-spectrum light source corresponding to the hyperspectral imaging device is activated to provide wide-spectrum light required for shooting. 9. The method of claim 1, wherein the washing regimen specifies any one or more of the following: Washing time, washing intensity, amount of detergent added, type of detergent, number of rinses. 10. A washing machine comprising: an outer tub to hold laundry water; an inner tub, rotatably arranged in the outer tub for accommodating the laundry; A hyperspectral imaging device, disposed in the outer tub, the photographing direction of which is configured to face the clothes placement area of the inner tub, for photographing hyperspectral images of the clothes to be washed; and The controller includes a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the laundry washing control method according to any one of claims 1 to 9 is implemented.

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