CN110735283A - Washing machine and clothes washing control method thereof - Google Patents
Washing machine and clothes washing control method thereof Download PDFInfo
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- CN110735283A CN110735283A CN201810790634.XA CN201810790634A CN110735283A CN 110735283 A CN110735283 A CN 110735283A CN 201810790634 A CN201810790634 A CN 201810790634A CN 110735283 A CN110735283 A CN 110735283A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B40/00—Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
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Abstract
The invention provides washing machines and a clothes washing control method thereof, wherein the washing machine comprises an outer barrel, an inner barrel which is rotatably arranged in the outer barrel and is used for accommodating clothes to be washed, and a hyperspectral imaging device which is used for shooting a clothes placing area of the inner barrel, the clothes washing control method comprises the steps of detecting an event of the clothes to be washed, which is placed in the inner barrel, driving the inner barrel to rotate in a stepping mode with a set angle, controlling the hyperspectral imaging device to shoot in the interval time of the stepping rotation of the inner barrel, obtaining a plurality of groups of hyperspectral images of the clothes to be washed, respectively carrying out feature extraction on the plurality of groups of hyperspectral images, obtaining feature information of the plurality of groups of hyperspectral images, confirming material information of the clothes to be washed according to the feature information of the plurality of groups of hyperspectral images, configuring an alternative washing scheme according to the material information of the clothes to be washed, and providing for a user to select.
Description
Technical Field
The present invention relates to a washing machine, and more particularly, to a washing machine and a laundry washing control method thereof.
Background
With the improvement of living standard and the drive of consumer upgrading, the consumer's orientation of household appliances is changing, and the initial functional requirements are changing to the pursuit of quality of life. The washing machine gradually changes from the initial pure washing to a home washing center, which also provides a new challenge for the intelligent washing machine, and of course, provides a chance for the application of various intelligent identification technologies on washing machine products. By using an intelligent identification technology, intelligent washing and protection of clothes on a washing machine is realized, and the development trend of intelligent washing machines is also reached.
However, because the materials of various clothes are different, even each piece of clothes is made of different materials, such as pure cotton, linen, silk, chemical fiber, wool, down feather, leather, blended fabric, terylene and the like, the information of washing time, washing strength, detergent dosage, rinsing frequency and the like required by each material is different, the existing washing machine can only select washing programs, and the requirement of each clothes material on washing is not fully considered.
At present, most intelligent washing machines adopt a washing mode that clothes are added into the washing machine and then washing modes are manually selected, or firstly, the material of the clothes is selected, and then the washing modes are preset according to the information such as the material and the weight of the clothes.
Disclosure of Invention
objects of the present invention are to provide kinds of washing machines which automatically determine and perform a washing course, reducing user's operations.
The purpose of steps of steps is to ensure that the determined washing scheme is matched with the clothes to be washed, and the washing effect is ensured under the condition of reducing the washing damage of the clothes.
Specifically, according to aspects of the invention, the clothes washing control method of washing machines is provided, wherein the washing machine comprises an outer barrel, an inner barrel rotatably arranged in the outer barrel and used for containing clothes to be washed, and a hyperspectral imaging device used for shooting a clothes placing area of the inner barrel, the clothes washing control method comprises the steps of detecting an event of the clothes to be washed placed in the inner barrel, driving the inner barrel to rotate in a stepping mode at a set angle, controlling the hyperspectral imaging device to shoot in the interval time of the stepping rotation of the inner barrel, obtaining a plurality of groups of hyperspectral images of the clothes to be washed shot by the hyperspectral imaging device, respectively carrying out feature extraction on the plurality of groups of hyperspectral images, obtaining feature information of the plurality of groups of hyperspectral images, confirming material information of the clothes to be washed according to the feature information of the plurality of groups of hyperspectral images, and configuring an alternative washing scheme according to the material information of the clothes to be washed.
Optionally, the step of driving the inner tub to rotate stepwise by a set angle includes: the rotation is finished after the inner tub is rotated for a set number of turns, and the set angle is set to 30 to 180 degrees.
Optionally, the step of confirming the material information of the clothes to be washed according to the characteristic information of the plurality of groups of hyperspectral images comprises the steps of judging whether the clothes to be washed have a single material according to the characteristic information of the plurality of groups of hyperspectral images, and if so, determining a washing scheme corresponding to the single material as an alternative washing scheme.
Optionally, in the case that the laundry has multiple materials, the washing schemes corresponding to the multiple materials are determined respectively, and the alternative washing scheme is selected from the washing schemes corresponding to the multiple materials.
Optionally, the step of selecting an alternative washing protocol from the corresponding washing protocols of the plurality of materials comprises: selecting a scheme with minimum damage to clothes to be washed from corresponding washing schemes made of various materials as an alternative washing scheme; or selecting the scheme with the least washing time from the corresponding washing schemes of various materials as the alternative washing scheme.
Optionally, when the washing schemes corresponding to the multiple materials cannot meet the washing requirements of all the multiple materials, outputting a prompt message for prompting that the clothes to be washed cannot be shuffled.
Optionally, the step of judging whether the clothes to be washed have the single material according to the characteristic information of the multiple groups of hyperspectral images comprises the steps of identifying characteristic peaks of spectral data of the multiple groups of hyperspectral images by using a preset material identification model to obtain material types corresponding to the characteristic peaks of the spectral data, wherein the material identification model is obtained in advance according to various clothes materials and the characteristic peaks of the corresponding spectral data through training, and judging whether the clothes to be washed have the single material according to the identification results of the multiple groups of hyperspectral images.
Optionally, the controlling the hyperspectral imaging apparatus to perform shooting further includes: and starting a broad spectrum light source correspondingly arranged with the hyperspectral imaging device to provide broad spectrum light required by shooting.
Alternatively, the washing protocol may specify any or more of washing time, washing intensity, detergent addition amount, detergent type, and number of rinses.
According to another aspects of the present invention, there are also provided kinds of washing machines, including an outer tub for containing washing water, an inner tub rotatably provided in the outer tub for containing laundry to be washed, a hyper spectral imaging device provided in the outer tub, a photographing direction of which is configured to face a laundry placing area of the inner tub, for photographing a hyper spectral image of the laundry to be washed, and a controller including a memory in which a computer program is stored and a processor, the computer program when executed by the processor implementing the laundry washing control method of any of described above.
According to the washing machine and the clothes washing control method thereof, the hyperspectral imaging device is used for shooting the clothes placing area of the inner barrel, and the washing scheme is obtained through analysis according to the hyperspectral image obtained through shooting. The hyperspectral image data and the spectrum data are integrated in the hyperspectral image, so that the material of the washed clothes can be accurately determined, the determined washing scheme is adaptive to the washed clothes, the pertinence of the washing scheme is stronger, the washing efficiency is improved, and the damage caused by washing abrasion of the clothes is effectively reduced on the premise of ensuring the washing cleanness. In addition, in order to prevent the problem that the material of all the clothes cannot be determined because part of the clothes are blocked due to accumulation after the clothes are put in, after the event that the clothes to be washed are put in the inner drum is detected; driving the inner barrel to rotate step by step at a set angle; in the interval time of the inner barrel stepping rotation, the hyperspectral imaging device is controlled to shoot for a plurality of times, so that a more comprehensive hyperspectral image is obtained.
, the washing machine and the clothes washing control method thereof of the invention use the controller to configure the washing scheme according to the hyperspectral image, comprehensively use the image characteristic information and the characteristic spectrum information, and also can process the clothes to be washed with different materials, thereby further improves the use experience of the washing machine.
The above and other objects, advantages and features of the present invention will become more apparent to those skilled in the art from the following detailed description of specific embodiments thereof, taken in conjunction with the accompanying drawings.
Drawings
Reference will now be made in detail to the specific embodiments of the present invention, which are illustrated by way of example and not by way of limitation in the accompanying figures in which like reference numerals refer to the same or similar parts or features.
Fig. 1 is a schematic external view of washing machines according to an embodiment of the present invention;
fig. 2 is an internal structure view of a washing machine according to embodiments of the present invention;
fig. 3 is a schematic block diagram of control of a washing machine according to embodiments of the present invention;
fig. 4 is a schematic view of a laundry control method of a washing machine according to embodiments of the present invention;
fig. 5 is a general flow diagram of the washing machine according to embodiments of the present invention for washing laundry;
FIG. 6 is a data flow diagram of a washing machine for determining the texture of laundry according to embodiments of the present invention, and
fig. 7 is a flowchart of a washing machine determining a washing course according to embodiments of the present invention.
Detailed Description
The embodiment provides kinds of washing machines 10, and the washing scheme is automatically determined by means of the hyperspectral image analysis technology, so that damage caused by washing abrasion of clothes is effectively reduced on the premise of ensuring clean washing.
Fig. 1 is a schematic external view of a washing machine 10 according to embodiments of the present invention, fig. 2 is a schematic internal structure of the washing machine 10 according to embodiments of the present invention, and fig. 3 is a schematic control block diagram of the washing machine 10 according to embodiments of the present invention.
The washing machine 10 of the present 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 by taking a front-loading drum washing machine as an example, and since the washing machine of other configurations is different only in the constructions of the inner tub 120, the outer tub 110, and the supporting manner, the working principle and other structures are basically , and persons skilled in the art can apply the solution of the present embodiment to washing machines of other configurations on the basis of understanding the solution of the present embodiment applied to the front-loading drum washing machine.
An outer tub 110 of the washing machine 10 for holding washing water; the inner tub 120 is rotatably provided in the outer tub 110 for accommodating laundry to be washed. The front of the inner tub 120 may have an opening for laundry to be put in. The inner tub 120 has a plurality of lifting ribs therein, and is driven by the motor 430 and the transmission mechanism to rotate regularly, so that the laundry is rolled and kneaded in the inner tub 120, thereby achieving the purpose of washing. The washing machine 10 can be controlled to perform washing operations such as water feeding, detergent feeding, washing, warming, rinsing, draining, and dewatering. Since the specific washing structure is well known to those skilled in the art, it will not be described herein.
The materials of the laundry are more and more abundant, and the laundry of each material has different washing requirements (for example, different requirements on washing time, washing strength, detergent addition amount, rinsing times and dewatering strength) due to the characteristics of the material. The conventional washing control manner selected by the user from the preset washing modes has failed to satisfy the user's demand. The washing machine 10 of the embodiment utilizes the hyperspectral imaging device 200 to shoot the clothes placement area of the inner barrel 120, the controller 300 can analyze and obtain a washing scheme according to the hyperspectral image obtained by shooting and control the washing execution system 400 to execute, thereby accurately determining the material of the washed clothes, determining the washing scheme to be adapted to the washed clothes, having stronger pertinence of the washing scheme, improving the washing efficiency, and effectively reducing the damage caused by the washing abrasion of the clothes on the premise of ensuring the washing cleanness.
The hyperspectral imaging apparatus 200 may be disposed at an upper portion of the opening (i.e., an upper portion of the inner side of the body 130) with a photographing direction configured to face the laundry placement area of the inner tub 120 (i.e., a middle-lower area of the inner tub 120) and configured to photograph a hyperspectral image of the laundry to be washed.
alternative arrangement structure is that the hyperspectral imaging device 200 is installed at the outer barrel 110 near the body 130, and the hyperspectral imaging device 200 is also provided with a transparent cover 210 at the installation position to isolate the hyperspectral imaging device 200 from the inner barrel 120.
The side of the transparent cover 210 facing the inner barrel 120 is coated with a super-hydrophobic nano coating to avoid water stains affecting the shooting effect of the hyperspectral imaging device 200, the super-hydrophobic nano coating can be prepared mainly based on acrylic polyurethane, is good in wear resistance and excellent in mechanical property, has good tolerance to strong acid and strong alkaline media, and in the experimental stage, the contact angle of the super-hydrophobic nano coating is still larger than 150 degrees after the super-hydrophobic nano coating is polished for 300 times by abrasive paper, so that the hydrophobic effect is good.
By using the super-hydrophobic nano coating, the transparent cover 210 does not form water stain accumulation, and the requirement of the hyperspectral imaging device 200 for shooting in the washing machine 10 is met.
Since the light inside the washing machine 10 cannot satisfy the photographing requirement, the washing machine 10 further includes: and a broad spectrum light source 220, also disposed at the upper portion of the opening, for providing photographing light to the hyperspectral imaging apparatus 200.
The broad spectrum light source 220 may comprise integrated LEDs, the light emission spectrum range of which is set to be up to 400 to 2400nm in this embodiment or more integrated LEDs may be provided, for example, the integrated LEDs may be provided around the hyperspectral imaging device 200 and shielded by the transparent cover 210.
In other embodiments, the broad spectrum light source 220 may be separately disposed from the hyperspectral imager 200, for example, on both sides of the upper portion of the body 130 of the washing machine 10 .
The hyperspectral image shot by the hyperspectral imaging device 200 can include image data and spectral data, for example, each pixel point can include an image pixel element and a spectral wavelength element of the pixel, that is, each pixel point is multivariate data sets and includes a plurality of image pixel element data and sets of spectral wavelength elements, so the hyperspectral data simultaneously obtains continuous spectral data of each pixel point and continuous image data of each spectral band.
In order to prevent the problem that the material of the entire laundry cannot be determined due to the blocking of a part of the laundry caused by the accumulation after the laundry is put in, after the event that the laundry to be washed is put in the inner tub 120 is detected; driving the inner tub 120 to rotate in steps at a set angle; in the interval time of the inner barrel stepping rotation, the hyperspectral imaging device 200 is controlled to shoot for a plurality of times, so that a plurality of groups of hyperspectral images are obtained, and the plurality of groups of hyperspectral images are respectively processed, so that a more accurate identification result is obtained.
The controller 300 includes a memory 310 and a processor 320, wherein the memory 310 stores a computer program, and the computer program can process the hyperspectral image, automatically determine a washing scheme, and control the washing execution system 400 to complete the washing scheme when being executed by the processor 320, thereby implementing an automatic washing function of the washing machine 10. The laundry control method of the washing machine 10 of the present embodiment will be described below.
Fig. 4 is a schematic diagram of a laundry control method of a washing machine according to embodiments of the present invention, which is performed by the processor 320 of the controller 300 of the washing machine 10 in the above-described embodiments to perform control of laundry washing.
Step S402, detecting an event that laundry to be washed is put in the inner tub 120, for example, whether laundry to be washed is put in after confirming that the body of the washing machine 10 is closed, and controlling the hyperspectral imaging apparatus 200 to perform hyperspectral image capturing in case that the laundry to be washed is put in.
The process of acquiring the off 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 clothes exist in the clothes placement area according to the image data, if the clothes exist, comparing the image data with washing history data to determine whether the clothes in the clothes placement area are the clothes washed before opening , and if the clothes washed before opening are not the clothes washed, determining to put the clothes to be washed.
Step S404, driving the inner barrel 120 to rotate step by step at a set angle; and controlling the hyperspectral imaging device 200 to shoot at the interval time of the stepping rotation of the inner barrel 120, and acquiring a plurality of groups of hyperspectral images of the clothes to be washed shot by the hyperspectral imaging device 200.
The inner tub 120 is driven to rotate in steps at a set angle, and the angle of each rotation may be set according to the lifters of the inner tub 120, for example, 30 to 180 degrees. And finishing rotation after finishing the set number of turns, so that a plurality of groups of hyperspectral images can be shot. The broad spectrum light source 220 corresponding to the hyperspectral imaging apparatus 200 can also be activated during the shooting process to provide the broad spectrum light required for shooting.
And S406, respectively performing feature extraction on the multiple groups of hyperspectral images to obtain feature information of the multiple groups of hyperspectral images. The extracting of the characteristic information of the hyperspectral image may include a characteristic peak of spectral data in the hyperspectral image, and the process of identifying the material of the laundry by using the characteristic peak of the spectral data may include: and identifying the characteristic peak of the spectral data by using a preset material identification model to obtain a material type corresponding to the characteristic peak of the spectral data, wherein the material identification model is obtained in advance according to various clothes materials and the characteristic peak of the corresponding spectral data through training. When the material identification model is trained, various materials such as wool, cotton fabrics, blended fabrics, silk, terylene, chinlon, hemp fabrics and the like and spectral data thereof can be combined with a chemometrics algorithm to form a training sample. For example: the spectral characteristic peak of the pure cotton material is 1950 nm; the spectral characteristic peak of the chemical fiber fabric is 1400 nm.
Since the number of the clothes to be washed may be multiple, and the material of the clothes may be multiple, the step of extracting the characteristic information of each group of hyperspectral images may further include: carrying out image recognition on the image data by utilizing a neural network algorithm to determine different extraction areas of the image data; and respectively extracting characteristic peaks of the spectral data of each region from the extraction regions so as to respectively determine the clothes material of each region. For example, the image data is subjected to image recognition by using a neural network algorithm, so that regions (including regions with different colors and regions with different light intensities) presenting different image characteristics in the clothes placement region can be recognized, the regions presenting different image characteristics are respectively used as extraction regions, characteristic peaks of the spectral data are respectively extracted, and the clothes material is respectively determined according to the characteristic peaks of the spectral data of the regions.
Step S408, confirming material information of the clothes to be washed according to the characteristic information of the plurality of groups of hyperspectral images, and configuring an alternative washing scheme according to the material information of the clothes to be washed for a user to select.
The washing method comprises the steps of judging whether clothes to be washed are made of a single material according to characteristic information of a plurality of groups of hyperspectral images, determining a washing scheme corresponding to the single material as an alternative washing scheme, determining washing schemes corresponding to a plurality of materials respectively and selecting the alternative washing scheme from the washing schemes corresponding to the plurality of materials, selecting the scheme with the minimum damage to the clothes to be washed from the washing schemes corresponding to the plurality of materials as the alternative washing scheme, or selecting the scheme with the minimum washing time from the washing schemes corresponding to the plurality of materials as the alternative washing scheme.
Because some clothes made of materials cannot be shuffled, for example, the cleaning requirements of real silk materials and some chemical fiber materials are different, and meanwhile, the cleaning of all the clothes cannot be met, and the clothes can be damaged. Therefore, prompt information can be output under the condition that the materials of the clothes to be washed are not suitable for being washed at the same time or alternative washing schemes cannot be determined, so that a user can be prompted to intervene.
And in the case that no alternative scheme exists in the corresponding washing schemes made of various materials, outputting prompt information for prompting that the clothes to be washed cannot be shuffled. In the case that the washing machine 10 of the present embodiment is provided with the display screen 500, an interface corresponding to a washing scheme may be output by using the display screen 500, for example, the prompt information may include information of the material of the clothes that cannot be washed at the same time, an operation prompt for prompting the user to take out the clothes, and the like.
The washing performing system 400 may include a detergent dispenser 410 for dispensing detergent into the outer tub 110 during a washing process, a water inlet 420 for discharging water into the outer tub 110 during the washing process, a driving motor 430 for driving the inner tub 120 to rotate, a drain 440, and the like. The washing execution system 400 may execute the controller 300 to determine the washing course and automatically complete the washing course.
In the washing process, the hyperspectral imaging device 200 can also be used for shooting the washing mixed liquid or the rinsing waste liquid after rinsing is completed to obtain hyperspectral images of the washing mixed liquid and the rinsing waste liquid, so that the hyperspectral images of the washing mixed liquid and the rinsing waste liquid are used for determining the concentration of the detergent in the washing mixed liquid and the rinsing waste liquid, and the washing process is adjusted.
For example, after determining the washing program, the detergent dispenser 410 may be controlled to dispense the detergent according to the initial dispensing amount; starting the hyperspectral imaging device 200 to shoot the washing mixed liquid, and determining the concentration of the detergent in the washing mixed liquid according to the hyperspectral image characteristic information of the washing mixed liquid; and controlling the detergent feeding device to increase the feeding amount of the detergent under the condition that the concentration of the detergent in the washing mixed liquid is lower than the washing target concentration.
The step of determining the detergent concentration of the washing mixed liquor according to the hyperspectral image characteristic information of the washing mixed liquor comprises the following steps: selecting a plurality of pixel points in different areas of a hyperspectral image of the washing mixed liquid, and respectively acquiring spectral data of the pixel points; extracting a spectrum curve of the spectrum data of the plurality of pixel points; respectively identifying the spectral curves of the spectral data of the multiple pixel points by using a preset detergent concentration detection model to obtain the corresponding detergent concentrations of the multiple pixel points, wherein the detergent concentration detection model is obtained by training the spectral curves of washing mixed liquor with different detergent concentrations in advance; and comprehensively judging the detergent concentrations corresponding to the multiple pixel points by using a chemometrics algorithm to obtain the detergent concentration of the washing mixed liquid.
After the washing machine finishes rinsing, the hyperspectral imaging device 200 can also shoot the rinsing waste liquid and acquire a hyperspectral image of the rinsing waste liquid shot by the hyperspectral imaging device 200. Therefore, the concentration of the detergent in the rinsing waste liquid can be determined according to the hyperspectral image characteristic information of the rinsing waste liquid; and controlling the washing machine to perform rinsing again under the condition that the concentration of the detergent in the rinsing waste liquid is higher than the rinsing target concentration. The analysis process of the hyperspectral image of the rinsing waste liquid is basically the same as the determination of the concentration of the detergent of the washing mixed liquid, and the details are not repeated.
The washing condition can be more in line with the requirement of clothes material through the content (concentration) of the detergent, and whether the washing is clean can be determined through the concentration of the detergent of the washing waste liquid, so that the washing effect is further improved .
Fig. 5 is a schematic diagram illustrating the overall flow of the washing process of the washing machine 10 according to embodiments of the present invention, wherein the washing process comprises:
step S502, starting the washing machine 10;
step S504, rotating the inner barrel 120, and controlling the hyperspectral imaging device 200 to shoot in the rotating process to obtain a plurality of groups of hyperspectral images of the clothes to be washed;
step S506, identifying the material of all the clothes to be washed;
step S508, determining a washing scheme matched with the material, and if the material has the condition that the materials cannot be shuffled, reminding a user;
step S510, draining water and adding detergent according to a washing scheme;
step S512, shooting a hyperspectral image of the washing mixed liquid, identifying the detergent concentration of the washing mixed liquid, judging whether the detergent needs to be supplemented or not, and if the detergent needs to be supplemented, adding the detergent;
step S514, washing and rinsing processes are carried out. The number and intensity of washes and the number and intensity of rinses are determined by the wash protocol.
And step S516, shooting a hyperspectral image of the rinsing waste liquid, identifying the detergent concentration of the rinsing waste liquid, judging whether the rinsing waste liquid is rinsed completely, and if not, increasing the rinsing.
Step S518, the user is reminded of the end of washing.
After clothes to be washed are put into the inner barrel 120, the washing machine 10 is started, the inner barrel 120 is driven to rotate in a stepping mode, the wide-spectrum light source 220 and the hyperspectral imaging device are started, multiple groups of hyperspectral images of the clothes to be washed are shot in a rotating interval, and then image data and spectrum data are extracted from each group of hyperspectral images. The data can be used for identifying the material quality. After identification, a washing protocol consistent with the material is determined. The washing course sets washing time, washing intensity, detergent addition amount and rinsing times.
After the washing scheme is determined, water is automatically drained and detergent is added, the condition that the washing requirement is met probably due to the fact that the amount of the added detergent is used, then the concentration of the detergent can be detected by means of a hyperspectral imaging device, and if the concentration of the detergent is not enough, the detergent amount is added again until the washing requirement is met.
And before the washing is finished, detecting the detergent concentration of the rinsing waste liquid by using the hyperspectral imaging device again, finishing the washing process if the detergent concentration is small enough, and continuing rinsing until the detergent concentration is small enough to finish the washing if the detergent concentration is too large.
Fig. 6 is a data flow diagram of embodiments of the present invention, in which a real box is a data block and a virtual box is a data processing process, the hyperspectral imaging device 200 captures hyperspectral images of laundry to be washed, including image data and spectral data, where the image data is calculated by a neural network algorithm to determine the quantity of the laundry, and then the quantity of the laundry and the spectral data are calculated by a stoplog chemical calculation algorithm model to identify the material of the laundry, so as to obtain the information of the material of the laundry.
The method comprises the steps of carrying out combined identification on the material of clothes through image data and spectrum data in hyperspectral image data, wherein the image data can be used for carrying out type identification, identifying the type information of all the clothes shot by using a neural network algorithm, carrying out material detection on pieces of clothes, wherein the spectral range is 12002400 nm, the positions and the intensities of absorption peaks of different molecular groups in the material of the clothes are different, and carrying out material identification through analyzing molecular vibration reflected light information and combining a chemical metering algorithm to obtain the material information of the clothes and the content information of different materials.
Fig. 7 is a flowchart of the washing machine 10 determining a washing course according to embodiments of the present invention, the flowchart including:
step S702, identifying various clothes materials according to the hyperspectral image;
step S704, judging whether various materials can be shuffled;
step S706, judging whether the washing scheme with the minimum damage is used, if so, taking the washing scheme with the minimum damage as the used washing scheme;
step S708, whether the washing scheme with the shortest time is used is judged, and if the washing scheme with the shortest time is used as the used washing scheme;
step S710, whether to use the washing scheme customized by the user, namely, the washing scheme selected by the user;
step S712, determining a washing and releasing scheme for execution;
step S720, outputting a prompt that the clothes can not be washed, and prompting the user to take out part of the clothes.
The washing mode with the least damage to the laundry is recommended first, and washing is started if the user approves the washing mode, and the washing mode with the shortest washing time is recommended again if the user approves the washing mode, and washing is started if the user approves the washing mode, and the user-defined washing mode is performed if the user approves the washing mode.
For the situation that a plurality of clothes are mixed at the same time, if the materials of the clothes are different and the clothes cannot be shuffled after judgment, the clothes which cannot be shuffled need to be pointed out, a user is reminded to take out the clothes, whether the clothes can be shuffled or not is judged, and if the clothes cannot be shuffled, the user is reminded to take out the clothes.
According to the washing machine and the clothes washing control method thereof, the hyperspectral imaging device is used for shooting the clothes placing area of the inner barrel, and the washing scheme is obtained according to the hyperspectral image analysis obtained by shooting. The hyperspectral image data and the spectrum data are integrated in the hyperspectral image, so that the material of the washed clothes can be accurately determined, the determined washing scheme is adaptive to the washed clothes, the pertinence of the washing scheme is stronger, the washing efficiency is improved, and the damage caused by washing abrasion of the clothes is effectively reduced on the premise of ensuring the washing cleanness.
Thus, it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been illustrated and described in detail herein, many other variations or modifications consistent with the principles of the invention may be directly determined or derived from the disclosure of the present invention without departing from the spirit and scope of the invention. Accordingly, the scope of the invention should be understood and interpreted to cover all such other variations or modifications.
Claims (10)
- A laundry control method of washing machines, the washing machine includes an outer tub, an inner tub rotatably provided in the outer tub for accommodating laundry to be washed, and a hyperspectral imaging device for photographing a laundry placing area of the inner tub, and the laundry control method includes:detecting an event that laundry is put in the inner tub to be washed;driving the inner barrel to rotate in steps at a set angle;controlling the hyperspectral imaging device to shoot within the interval time of the stepping rotation of the inner barrel, and acquiring a plurality of groups of hyperspectral images of the clothes to be washed shot by the hyperspectral imaging device;respectively extracting the characteristics of a plurality of groups of hyperspectral images to obtain characteristic information of the plurality of groups of hyperspectral images;and confirming the material information of the clothes to be washed according to the characteristic information of the plurality of groups of hyperspectral images, and configuring an alternative washing scheme according to the material information of the clothes to be washed for a user to select.
- 2. The method of claim 1, wherein the step of driving the inner tub to rotate in steps of a set angle comprises:ending the rotation after the inner tub is rotated for a set number of rotations, the set angle being set to 30 to 180 degrees.
- 3. The method according to claim 2, wherein the step of confirming the material information of the laundry according to the characteristic information of the plurality of sets of hyperspectral images comprises:judging whether the clothes to be washed have single material or not according to the characteristic information of the plurality of groups of hyperspectral images;if yes, determining the washing scheme corresponding to the single material as the alternative washing scheme.
- 4. The method of claim 3, whereinAnd under the condition that the clothes to be washed have multiple materials, respectively determining washing schemes corresponding to the multiple materials, and selecting the alternative washing scheme from the washing schemes corresponding to the multiple materials.
- 5. The method of claim 4, wherein selecting the alternative washing protocol from the corresponding washing protocols for the plurality of materials comprises:selecting a scheme with minimum damage to the clothes to be washed from corresponding washing schemes of a plurality of materials as the alternative washing scheme; orAnd selecting the scheme with the least time for washing from corresponding washing schemes of various materials as the alternative washing scheme.
- 6. The method of claim 4, whereinAnd under the condition that the washing schemes corresponding to the multiple materials can not meet the washing requirements of all the multiple materials, outputting prompt information for prompting that the clothes to be washed can not be shuffled.
- 7. The method according to claim 3, wherein the step of determining whether the laundry has a single texture according to the characteristic information of the plurality of hyperspectral images comprises:identifying characteristic peaks of spectral data of a plurality of groups of hyperspectral images by using a preset material identification model to obtain material types corresponding to the characteristic peaks of the spectral data, wherein the material identification model is obtained in advance according to various clothes materials and the characteristic peaks of the corresponding spectral data through training;and judging whether the material is single according to the recognition results of the plurality of groups of hyperspectral images.
- 8. The method of claim 1, wherein controlling the hyperspectral imaging apparatus to shoot further comprises:and starting a broad spectrum light source correspondingly arranged with the hyperspectral imaging device to provide broad spectrum light required by shooting.
- 9. The method of claim 1, wherein the washing protocol specifies any or more of:washing time, washing strength, detergent addition amount, detergent type and rinsing times.
- 10, A washing machine comprising:an outer tub for holding washing water;an inner tub rotatably provided in the outer tub for accommodating laundry to be washed;the hyperspectral imaging device is arranged in the outer barrel, the shooting direction of the hyperspectral imaging device is configured to face the clothes placing area of the inner barrel, and the hyperspectral imaging device is used for shooting a hyperspectral image of the clothes to be washed; anda controller comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, implements a laundry control method according to any of claims 1-9.
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