CN110735284B - Washing machine and laundry control method thereof - Google Patents
Washing machine and laundry control method thereof Download PDFInfo
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- CN110735284B CN110735284B CN201810792125.0A CN201810792125A CN110735284B CN 110735284 B CN110735284 B CN 110735284B CN 201810792125 A CN201810792125 A CN 201810792125A CN 110735284 B CN110735284 B CN 110735284B
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F39/00—Details of washing machines not specific to a single type of machines covered by groups D06F9/00 - D06F27/00
- D06F39/02—Devices for adding soap or other washing agents
- D06F39/022—Devices for adding soap or other washing agents in a liquid state
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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 present invention provides a washing machine and a laundry washing control method thereof, wherein the washing machine comprises: an outer tub, an inner tub rotatably disposed in the outer tub for accommodating laundry to be washed, and a hyperspectral imaging device for photographing a laundry placement area of the inner tub, and a laundry washing control method includes: determining a washing scheme according to the material of clothes to be washed, wherein the washing scheme at least comprises initial input quantity of the detergent and washing target concentration; controlling a detergent throwing device of the washing machine to throw in the detergent according to the initial throwing amount; starting a hyperspectral imaging device to shoot the washing mixed liquid, and acquiring hyperspectral images of the washing mixed liquid shot by the hyperspectral imaging device; determining the concentration of the detergent in the washing mixed solution according to the hyperspectral image characteristic information of the washing mixed solution; and under the condition that the concentration of the detergent in the washing mixed solution is lower than the washing target concentration, controlling the detergent feeding device to increase the feeding amount of the detergent, so that the concentration of the detergent meets the washing requirement.
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 the living standard of people and the driving of consumer upgrading, the positioning of consumers on household appliances is also changed, and the primary functional requirement is changed to pursue the living quality. The gradual transition of washing machines from initial pure washing to home care centers also presents new challenges to intelligent washing machines, which of course also provides opportunities for the application of various intelligent identification technologies to washing machine products. The intelligent washing and protecting of clothes on the washing machine is realized by utilizing the intelligent identification technology, and the intelligent washing and protecting technology has also become the development trend of intelligent washing machines.
At present, some washing machines are provided with a detergent throwing device capable of automatically adding detergent, and the detergent throwing device can throw quantitative detergent according to the setting of a user, however, when in actual use, the concentration of the thrown detergent can not reach the set target due to the difference of clothes and washing, and the washing effect is affected.
Disclosure of Invention
An object of the present invention is to provide a washing machine and a laundry washing control method thereof, which enable washing to meet washing requirements, and avoid insufficient detergent delivery.
A further object of the present invention is to enable a washing machine to automatically determine and execute a washing scheme, reducing the operations of a user.
In particular, the present invention provides a laundry washing control method of a washing machine, wherein the washing machine comprises: an outer tub, an inner tub rotatably disposed in the outer tub for accommodating laundry to be washed, and a hyperspectral imaging device for photographing a laundry placement area of the inner tub, and a laundry washing control method includes: determining a washing scheme according to the material of clothes to be washed, wherein the washing scheme at least comprises initial input quantity of the detergent and washing target concentration; controlling a detergent throwing device of the washing machine to throw in the detergent according to the initial throwing amount; starting a hyperspectral imaging device to shoot the washing mixed liquid, and acquiring hyperspectral images of the washing mixed liquid shot by the hyperspectral imaging device; determining the concentration of the detergent in the washing mixed solution according to the hyperspectral image characteristic information of the washing mixed solution; when the concentration of the detergent in the washing mixed solution is lower than the target concentration, the detergent adding device is controlled to increase the adding amount of the detergent.
Optionally, the step of determining the detergent concentration of the washing mixture based on the hyperspectral image characteristic information of the washing mixture comprises: selecting a plurality of pixel points in different areas of a hyperspectral image of the washing mixed solution, and respectively acquiring spectrum data of the plurality of pixel points; extracting spectrum curves of spectrum data of a plurality of pixel points; respectively identifying spectral curves of spectral data of a plurality of pixel points by using a preset detergent concentration detection model to obtain corresponding detergent concentrations at the plurality of pixel points, wherein the detergent concentration detection model is obtained by training the spectral curves of washing mixed solutions with different detergent concentrations in advance; and comprehensively judging the corresponding detergent concentrations at a plurality of pixel points by using a chemometric algorithm to obtain the detergent concentration of the washing mixed solution.
Optionally, the washing regimen further includes a rinse target concentration, and the control method further includes: after the washing machine finishes rinsing, starting a hyperspectral imaging device to shoot rinsing waste liquid, and acquiring hyperspectral images of the rinsing waste liquid shot by the hyperspectral imaging device; determining the concentration of the detergent in the rinsing waste liquid according to the hyperspectral image characteristic information of the rinsing waste liquid; in the case that the concentration of the detergent in the rinsing waste liquid is higher than the rinsing target concentration, the washing machine is controlled to perform rinsing again.
Optionally, the step of determining the detergent concentration of the rinsing waste liquid according to the hyperspectral image characteristic information of the rinsing waste liquid comprises the following steps: selecting a plurality of pixel points in different areas of a hyperspectral image of the rinsing waste liquid, and respectively acquiring spectrum data of the plurality of pixel points; extracting spectrum curves of spectrum data of a plurality of pixel points; respectively identifying spectral curves of spectral data of a plurality of pixel points by using a preset detergent concentration detection model to obtain corresponding detergent concentrations at the plurality of pixel points, wherein the detergent concentration detection model is obtained by training the spectral curves of rinsing waste liquid with different detergent concentrations in advance; and comprehensively judging the corresponding detergent concentrations at the plurality of pixel points by using a chemometric algorithm to obtain the detergent concentration of the rinsing waste liquid.
Optionally, the step of determining the washing scheme according to the material of the laundry includes: acquiring a washing start signal of the washing machine; controlling a hyperspectral imaging device to shoot, and acquiring hyperspectral images of clothes to be washed, wherein the hyperspectral images are shot by the hyperspectral imaging device; extracting characteristic information of hyperspectral images of the clothes to be washed, and identifying the materials of the clothes to be washed according to the characteristic information; and configuring a washing scheme according to the material of the clothes to be washed, and controlling a washing execution system of the washing machine to execute the washing scheme.
Optionally, the characteristic information of the hyperspectral image of the laundry includes characteristic peaks of spectral data, and the step of identifying the material of the laundry according to the characteristic information includes: and identifying characteristic peaks of the spectrum data by using a preset material identification model to obtain material types corresponding to the characteristic peaks of the spectrum data, wherein the material identification model is obtained in advance according to various clothing materials and the corresponding characteristic peaks of the spectrum data.
Optionally, the hyperspectral image of the laundry further includes image data, and the step of extracting the feature information of the hyperspectral image of the laundry further includes: judging the image data of the clothes to be washed by using a neural network algorithm, and determining the material type quantity of the clothes to be washed; and respectively extracting the characteristic information of hyperspectral images of the clothes to be washed of various materials.
Optionally, in the case that the laundry contains a plurality of materials, the step of configuring the washing scheme according to the materials of the laundry includes: selecting a shuffling scheme from corresponding washing schemes of various materials, wherein the shuffling scheme meets the condition of avoiding damage of the various materials; and under the condition that the shuffling scheme does not exist from the corresponding washing schemes of various materials, outputting prompt information for prompting that the clothes to be washed cannot be shuffled.
Optionally, the washing regimen further provides for any one or more of the following: washing time, washing intensity, detergent type.
According to another aspect of the present invention, there is also provided a washing machine including: an outer tub for accommodating washing water; an inner tub rotatably disposed 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 inner barrel, and the hyperspectral imaging device is used for shooting hyperspectral images of the washing mixed solution; and a controller comprising a memory and a processor, the memory storing a computer program which when executed by the processor implements any of the laundry control methods described above.
According to the washing machine and the clothes washing control method thereof, the hyperspectral imaging device is utilized to shoot the washing mixed solution to obtain hyperspectral images, the hyperspectral images are utilized to identify the content (concentration) of the detergent, and the detergent is correspondingly adjusted, so that the washing conditions are more in accordance with the requirements of clothes materials, and the problem of incomplete washing caused by insufficient detergent feeding can be avoided.
Furthermore, the washing machine and the clothes washing control method thereof can also utilize the hyperspectral image of the rinsing waste liquid, and identify the content (concentration) of the detergent by utilizing the hyperspectral image so as to determine whether to continue rinsing, thereby reasonably controlling the rinsing times, and avoiding water waste caused by excessive rinsing times or residual detergent existing in clothes caused by insufficient rinsing times.
The above, as well as additional objectives, advantages, and features of the present invention will become apparent to those skilled in the art from the following detailed description of a specific embodiment of the present invention when read in conjunction with the accompanying drawings.
Drawings
Some specific embodiments of the invention will be described in detail hereinafter by way of example and not by way of limitation with reference to the accompanying drawings. The same reference numbers will be used throughout the drawings to refer to the same or like parts or portions. It will be appreciated by those skilled in the art that the drawings are not necessarily drawn to scale. In the accompanying drawings:
fig. 1 is a schematic external view of a washing machine according to an embodiment of the present invention;
fig. 2 is a schematic view illustrating an internal structure of a washing machine according to an embodiment of the present invention;
fig. 3 is a control schematic block diagram of a washing machine according to an embodiment of the present invention;
fig. 4 is a schematic view of a laundry control method of a washing machine according to an embodiment of the present invention;
fig. 5 is a schematic view of an overall flow of laundry washing by the washing machine, according to an embodiment of the present invention;
FIG. 6 is a flowchart of a washing machine supplementary detergent according to an embodiment of the present invention; and
fig. 7 is a flowchart of adjusting the number of rinsing times of a washing machine according to an embodiment of the present invention.
Detailed Description
The present embodiment first provides a washing machine 10, which automatically analyzes the concentration of detergent by means of hyperspectral image analysis technology, and avoids the situation of unclean washing caused by insufficient detergent delivery.
Fig. 1 is a schematic external view of a washing machine 10 according to an embodiment of the present invention, fig. 2 is a schematic internal structure of the washing machine 10 according to an embodiment of the present invention, and fig. 3 is a schematic block diagram of control of the washing machine 10 according to an embodiment of the present invention.
The washing machine 10 of the present embodiment may generally include: the apparatus includes an outer tub 110, an inner tub 120, a hyperspectral imaging device 200, a controller 300, and a washing performing system 400. The washing machine 10 of the present embodiment is described by taking a front loading type drum washing machine as an example, and since other configurations of the washing machine are generally different only in the inner tub 120, the outer tub 110, the supporting manner, etc., the operation principle is basically the same as that of the other configurations, and those skilled in the art will be able to apply the solution of the present embodiment to the washing machine of the other configurations on the basis of understanding the solution of the present embodiment.
The tub 110 of the washing machine 10 serves to contain 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 into which laundry is put. The inner tub 120 has a plurality of lifting ribs therein, and is rotated regularly by the motor 430 and the driving mechanism, so that laundry to be washed is tumbled and rubbed in the inner tub 120, thereby achieving a washing purpose. The washing machine 10 is controlled to perform washing operations such as water intake, detergent delivery, washing, warming, rinsing, water drainage, and dehydration. Since specific washing structures are well known to those skilled in the art, no further description is given here.
The washing machine 10 of the present embodiment, in which the hyperspectral imaging device 200 photographs the laundry placement area of the inner tub 120, can photograph hyperspectral images of the washing mixture (rinsing waste liquid) during the washing process for recognizing the detergent concentration. The controller 300 may analyze the photographed hyperspectral image to obtain the concentration of the detergent and control the number of times of addition and rinsing of the detergent.
In addition, as the materials of the washed clothes are more and more abundant, the washing requirements of the washed clothes of each material are different (such as different requirements of washing time, washing strength, detergent addition amount, rinsing times and dewatering strength) due to the characteristics of the materials. The hyperspectral imaging device 200 can be used for shooting the clothes placing area of the inner barrel 120 before washing, the controller 300 can obtain a washing scheme according to hyperspectral image analysis obtained by shooting and control the washing execution system 400 to execute, so that the material of the washed clothes can be accurately determined, the determined washing scheme is suitable for 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 cleanliness of washing.
The hyperspectral imaging device 200 may be disposed at an upper portion of the opening (i.e., an upper portion of an inner side of the door 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 hyperspectral images of the washing mixture (rinsing waste liquid) and laundry to be washed.
An alternative arrangement is: the hyperspectral imaging apparatus 200 is installed at a position of the outer tub 110 close to the door 130, and a transparent cover 210 is further provided at the installation position of the hyperspectral imaging apparatus 200 to spatially isolate the hyperspectral imaging apparatus 200 from the inner tub 120.
The transparent cover 210 is coated with a super-hydrophobic nano-coating on a side facing the inner tub 120 to avoid water stains affecting the photographing effect of the hyperspectral imaging device 200. The super-hydrophobic nano coating can be mainly prepared based on acrylic polyurethane, has good wear resistance and excellent mechanical property, and has good tolerance to strong acid and strong alkaline media; 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 300 times by sand paper, and the hydrophobic effect is good.
With the superhydrophobic nanocoating, the transparent cover 210 does not form water stain accumulation, meeting the requirements of the hyperspectral imaging device 200 for photographing in the washing machine 10.
Since the light inside the washing machine 10 cannot meet the shooting requirement, the washing machine 10 further includes: a broad spectrum light source 220 is also provided at the upper portion of the opening for providing photographing light to the hyperspectral imaging apparatus 200.
The broad spectrum light source 220 may include: the light emission spectrum of the integrated LED is set to be 400 to 2400nm. In this embodiment, one or more integrated LEDs may be provided, for example, the integrated LEDs may be provided around the hyperspectral imaging apparatus 200 and shielded by the transparent cover 210.
In other embodiments, the broad spectrum light source 220 may be disposed separately from the hyperspectral imaging apparatus 200, for example, on both sides of the upper portion of the door 130 of the washing machine 10.
The hyperspectral image captured by the hyperspectral imaging device 200 may include image data as well as spectral data, for example, each pixel may include an image pixel element and a spectral wavelength element of the pixel, i.e., each pixel is a multi-element data set including a plurality of image pixel element data and a set of spectral wavelength elements. The hyperspectral data thus simultaneously obtain continuous spectral data for each pixel point and continuous image data for each spectral band. The hyperspectral image is an optical image with continuous wavelength, the spectral range can be set to be 200nm to 2500nm, the higher spectral resolution is achieved, and the resolution can reach 2-3 nm. In this embodiment, in order to meet the recognition requirement of the material of the laundry, the spectrum range of the hyperspectral image may be set to 1200 to 2400nm.
The controller 300 includes a memory 310 and a processor 320, and the memory 310 stores a computer program, which when executed by the processor 320, can process the hyperspectral image, automatically determine a washing scheme, and control the washing execution system 400 to complete the washing scheme, thereby implementing the automatic washing function of the washing machine 10. The laundry control method of the washing machine 10 of the present embodiment is described below.
Fig. 4 is a schematic view of a laundry control method of a washing machine according to an embodiment of the present invention, which is performed by the processor 320 of the controller 300 of the washing machine 10 in the above-described embodiment. The laundry washing control method of the washing machine may include:
step S402, determining a washing scheme according to the material of the clothes to be washed, and controlling the detergent delivery device 410 of the washing machine 10 to deliver the detergent according to the initial delivery amount, wherein the washing scheme at least comprises the initial delivery amount and the washing target concentration of the detergent;
step S404, starting the hyperspectral imaging device 200 to shoot the washing mixed solution, and acquiring hyperspectral images of the washing mixed solution shot by the hyperspectral imaging device 200;
step S406, determining the concentration of the detergent in the washing mixed solution according to the hyperspectral image characteristic information of the washing mixed solution. Since the detergent of the washing mixed solution may be uneven, when determining the concentration of the detergent in the washing mixed solution, a plurality of pixel points can be selected in different areas of the hyperspectral image of the washing mixed solution, and spectrum data of the plurality of pixel points can be respectively obtained; extracting spectrum curves of spectrum data of a plurality of pixel points; respectively identifying spectral curves of spectral data of a plurality of pixel points by using a preset detergent concentration detection model to obtain corresponding detergent concentrations at the plurality of pixel points, wherein the detergent concentration detection model is obtained by training the spectral curves of washing mixed solutions with different detergent concentrations in advance; and comprehensively judging the corresponding detergent concentrations at a plurality of pixel points by using a chemometric algorithm to obtain the detergent concentration of the washing mixed solution.
Because different substances in the washing mixed solution have unique absorption effect on light in a specific wavelength range, and different transmission conditions can also occur on light with different wavelengths, the spectrum characteristics of various substances are different, and therefore the washing mixed solution with different concentrations and the spectrum curve can train samples to obtain a detergent concentration detection model for identifying the concentration of the detergent. In addition, the problem of non-uniformity is avoided by comprehensively judging the corresponding detergent concentration at a plurality of pixel points through a chemometric algorithm.
In step S408, when the detergent concentration in the washing mixture is lower than the washing target concentration, the detergent dispenser 410 is controlled to increase the amount of detergent to be dispensed.
The washing scheme can also comprise rinsing target concentration, after the washing machine finishes rinsing, the hyperspectral imaging device 200 is started to shoot rinsing waste liquid, and hyperspectral images of the rinsing waste liquid shot by the hyperspectral imaging device 200 are obtained; determining the concentration of the detergent in the rinsing waste liquid according to the hyperspectral image characteristic information of the rinsing waste liquid; in the case where the concentration of the detergent in the rinsing waste liquid is higher than the rinsing target concentration, the washing machine 10 is controlled to re-perform rinsing.
The process of determining the concentration of the detergent of the rinsing waste liquid according to the hyperspectral image characteristic information of the rinsing waste liquid is basically consistent with the process of determining the concentration of the detergent of the washing mixed liquid, namely, a plurality of pixel points are selected in different areas of the hyperspectral image of the rinsing waste liquid, and spectrum data of the pixel points are respectively obtained; extracting spectrum curves of spectrum data of a plurality of pixel points; respectively identifying spectral curves of spectral data of a plurality of pixel points by using a preset detergent concentration detection model to obtain corresponding detergent concentrations at the plurality of pixel points, wherein the detergent concentration detection model is obtained by training the spectral curves of rinsing waste liquid with different detergent concentrations in advance; and comprehensively judging the corresponding detergent concentrations at the plurality of pixel points by using a chemometric algorithm to obtain the detergent concentration of the rinsing waste liquid. Thus avoiding inaccurate detection caused by uneven detergent.
In step S402, the washing scheme may be automatically determined by means of hyperspectral image analysis technique before the laundry to be washed is put in the washing machine 10 without draining water.
The process of determining a washing regimen includes: controlling the hyperspectral imaging apparatus 200 to take a photograph and acquiring hyperspectral images of the laundry taken by the hyperspectral imaging apparatus 200, for example, controlling the photographing process may include: acquiring a door closing signal of the washing machine 10; after confirming that the door of the washing machine 10 is closed, detecting whether laundry is put in; in the case where it is confirmed that laundry is put in, the hyperspectral imaging device 200 is controlled to perform hyperspectral image photographing.
The process of acquiring the door closing signal of the washing machine 10 may include: controlling the hyperspectral imaging device 200 to shoot the clothing placement area to obtain image data of the clothing placement area; determining whether clothes exist in the clothes placement area according to the image data; if the clothes are not washed before the door is opened, the clothes to be washed are put into the clothes storage area, and the situation that the clothes washed last time are not taken out once after the door is opened by a user and repeated washing is avoided through the steps. After the laundry is determined to be put in, a subsequent process of determining a washing scheme and performing is started.
When the hyperspectral imaging apparatus 200 is controlled to perform shooting, a broad spectrum light source corresponding to the hyperspectral imaging apparatus can be started at the same time to provide the broad spectrum light required for shooting.
After a hyperspectral image of the clothes to be washed is obtained, extracting characteristic information of the hyperspectral image, and identifying the material of the clothes to be washed according to the characteristic information; the extracting of the characteristic information of the hyperspectral image may include characteristic peaks of spectral data in the hyperspectral image, and the identifying of the material of the laundry using the characteristic peaks of the spectral data may include: and identifying characteristic peaks of the spectrum data by using a preset material identification model to obtain material types corresponding to the characteristic peaks of the spectrum data, wherein the material identification model is obtained in advance according to various clothing materials and the corresponding characteristic peaks of the spectrum data. The training sample can be formed by respectively utilizing various materials such as wool, cotton fabrics, blending, silk, terylene, chinlon, hemp fabrics and the like and spectrum data thereof in combination with a chemometric algorithm when the material identification model is trained. For example: the spectral characteristic peak of the pure cotton material is 1950nm; the spectrum characteristic peak of the chemical fiber fabric is 1400nm.
Since the laundry may be multiple pieces, the materials may be multiple, and the step of extracting the feature information of the hyperspectral image may further include: performing image recognition on the image data by using a neural network algorithm to determine different extraction areas of the image data; and respectively extracting characteristic peaks of the spectrum data of each region from the extraction regions so as to respectively determine the clothing materials of each region. For example, the neural network algorithm is used for carrying out image recognition on the image data, so that areas (including areas with different colors and areas with different light intensities) of the clothing placement area, which show different image characteristics, can be identified, the areas showing different image characteristics are respectively used as extraction areas, characteristic peaks of the spectrum data are respectively extracted, and clothing materials are respectively determined according to the characteristic peaks of the spectrum data of each area.
The washing scheme may be then configured according to the material of the laundry to be washed, and the washing performing system 400 of the washing machine 10 may be controlled to perform the washing scheme. Under the condition that the clothes to be washed contain multiple materials, an alternative scheme can be selected according to the corresponding washing scheme of the multiple materials, and the alternative scheme meets the condition of avoiding the damage of the multiple materials. The alternative washing scheme is selected as a scheme having the least damage to various laundry or a scheme having the shortest washing time.
Because the clothes made of partial materials cannot be mixed, for example, the washing requirements of the silk material and the partial chemical fiber material are different, and meanwhile, the washing cannot meet the cleaning requirement of all the clothes, and the clothes can be damaged. Therefore, under the condition that the material of the clothes to be washed is not suitable for simultaneous washing or the alternative washing scheme cannot be determined, prompt information can be output so as to prompt the user to intervene.
And outputting prompt information for prompting that the clothes to be washed cannot be shuffled under the condition that no alternative scheme exists from the corresponding washing schemes of various materials. In the case where 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 using the display screen 500, for example, the above-mentioned prompt information may be output, and the prompt information may include laundry material information that cannot be washed simultaneously, an operation prompt prompting a user to take out laundry, and the like.
The washing performing system 400 may include a detergent dispensing device 410 for dispensing detergent into the outer tub 110 during washing, a water inlet device 420 for discharging water into the outer tub 110 during washing, a rotation driving motor 430 for driving the inner tub 120, a water discharge device 440, and the like. The washing performing system 400 may perform the washing course automatically, with the controller 300 determining the washing scheme. The above steps S402 to S406 may be performed during the washing process, the amount of detergent to be put in may be adjusted, and further, the number of rinsing times may be adjusted.
Fig. 5 is a schematic view of an overall flow of laundry washing by the washing machine 10, according to an embodiment of the invention, which comprises:
step S502, starting the washing machine 10;
step S504, controlling the hyperspectral imaging device 200 to shoot, and obtaining hyperspectral images of clothes to be washed;
step S506, identifying the materials of all the clothes to be washed;
step S508, determining a washing scheme matched with the material, and reminding a user if the material cannot be shuffled;
step S510, draining water and adding a detergent according to a washing scheme;
step S512, shooting hyperspectral images of the washing mixed solution, identifying the concentration of the detergent in the washing mixed solution, judging whether the detergent needs to be supplemented, and if the detergent needs to be supplemented, adding the detergent;
step S514, washing and rinsing processes are performed. The number and intensity of washes and the number and intensity of rinses were determined by the wash protocol.
And S516, shooting a hyperspectral image of the rinsing waste liquid, identifying the concentration of the detergent in the rinsing waste liquid, judging whether rinsing is clean, and if not, adding rinsing.
Step S518, prompt the user to end the washing.
After laundry is put into the inner tub 120, the washing machine 10 is started, the wide spectrum light source 220 and the hyperspectral imaging device are started, hyperspectral images of the laundry are photographed, and then image data and spectrum data are extracted respectively. The data can be used for identifying materials. After identification, a washing protocol corresponding to the material is determined. The washing scheme sets the washing time, the washing intensity, the addition amount of the detergent and the number of rinsing times.
After the washing scheme is determined, automatically discharging water and adding the washing agent, and detecting the concentration of the washing agent by means of the hyperspectral imaging device because the condition of meeting the washing requirement can occur due to the consumption of the added washing agent, and if the concentration of the washing agent is insufficient, adding the washing agent again until the washing requirement is met.
Before the washing is finished, the hyperspectral imaging device is used again to detect the concentration of the detergent in the rinsing waste liquid, the washing process is finished if the concentration of the detergent is small enough, but the rinsing is continued until the concentration of the detergent is small enough to finish the washing if the concentration is too large.
Fig. 6 is a flowchart of the detergent replenishment of the washing machine 10 according to one embodiment of the present invention. The process comprises the following steps:
step S602, washing is started, and water is drained and a detergent is added;
step S604, obtaining a hyperspectral image of the washing mixed solution;
step S606, selecting a plurality of pixel points in the hyperspectral image, and respectively calling the spectrum data of each pixel point;
step S608, analyzing the spectrum curve of each pixel point, and comprehensively analyzing to obtain the concentration of the detergent;
step S610, judging whether the concentration of the detergent is lower than (smaller than) the target concentration of the washing, if so, replenishing the detergent, and re-acquiring the hyperspectral image of the washing mixed solution;
in step S612, when the detergent concentration satisfies the washing target concentration, washing is started.
The above-described process delivers a predetermined amount of detergent after the washing machine 10 automatically feeds water, and the detergent is mixed with the water. The hyperspectral imaging device 200 is started to shoot hyperspectral data of the washing mixed solution, and as the situation of uneven mixing of the washing agent exists in the initial stage of washing, data of a plurality of pixel points on an image are required to be collected simultaneously, and according to the respective spectral data, the concentration of the washing agent is comprehensively analyzed and calculated by utilizing a chemometric algorithm, so that whether the concentration value meets the washing requirement is judged. If the concentration of the detergent is too small, the detergent is added until the concentration requirement of the detergent is met, and then a washing program is started to wash clothes.
Fig. 7 is a flowchart of adjusting the number of rinsing times of the washing machine 10 according to one embodiment of the present invention. The process comprises the following steps:
in step S702, the rinsing is completed,
step S704, obtaining a hyperspectral image of the washing mixed solution;
step S706, selecting a plurality of pixel points in the hyperspectral image, and respectively calling the spectral data of each pixel point;
step S708, analyzing the spectrum curve of each pixel point, and comprehensively analyzing to obtain the concentration of the detergent of the rinsing waste liquid;
step S710, judging whether the detergent concentration is higher (greater) than the rinsing target concentration, if so, rinsing again
Step S712, after the detergent concentration is lower than the rinsing target concentration, the rinsing is ended.
Executing the flow, and when water is not drained after each rinsing, acquiring a hyperspectral image of the washing mixed solution and generating a corresponding spectrogram; comparing the detected concentration with the rinsing target concentration according to the preset rinsing target concentration as a rinsing stopping condition; and when the detected concentration is greater than the rinsing target concentration, rinsing again after the washing water is discharged until the detected concentration meets the requirement.
According to the washing machine 10 and the clothes washing control method thereof, the hyperspectral imaging device 200 is utilized to shoot the washing mixed solution to obtain hyperspectral images, the hyperspectral images are utilized to identify the content (concentration) of the detergent, and the detergent is correspondingly adjusted, so that the washing conditions are more in accordance with the requirements of clothes materials, and the problem of incomplete washing caused by insufficient detergent feeding can be avoided.
By now it should be appreciated by those skilled in the art that while a number of exemplary embodiments of the invention have been shown and described herein in detail, many other variations or modifications of the invention consistent with the principles of the invention may be directly ascertained or inferred from the present disclosure without departing from the spirit and scope 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 of a washing machine, the washing machine comprising: 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 placement area of the inner tub, and the laundry washing control method includes:
determining a washing scheme according to the material of the clothes to be washed, wherein the washing scheme at least comprises initial input quantity of the detergent and washing target concentration;
controlling a detergent throwing device of the washing machine to throw in the detergent according to the initial throwing amount;
starting the hyperspectral imaging device to shoot the washing mixed solution, and acquiring hyperspectral images of the washing mixed solution shot by the hyperspectral imaging device;
determining the concentration of the detergent in the washing mixed solution according to the hyperspectral image characteristic information of the washing mixed solution;
controlling the detergent adding device to increase the adding amount of the detergent under the condition that the concentration of the detergent in the washing mixed solution is lower than the washing target concentration;
wherein the process of determining a washing regimen comprises:
acquiring a door closing signal of the washing machine;
after confirming that the door body of the washing machine is closed, detecting whether the clothes to be washed are put in the door body;
controlling a hyperspectral imaging device to shoot hyperspectral images under the condition that the laundry to be washed is confirmed to be put in;
wherein, the process of obtaining the door closing signal of the washing machine comprises:
controlling a hyperspectral imaging device to shoot the clothing placing area to obtain image data of the clothing placing area;
determining whether clothes exist in the clothes placement area according to the image data;
if the clothes are not washed before the door is opened, the clothes to be washed are put into the clothes placing area.
2. The method of claim 1, wherein determining the detergent concentration of the wash mixture from hyperspectral image characteristic information of the wash mixture comprises:
selecting a plurality of pixel points in different areas of the hyperspectral image of the washing mixed solution, and respectively acquiring spectrum data of the plurality of pixel points;
extracting spectral curves of the spectral data of a plurality of pixel points;
respectively identifying spectral curves of the spectral data of a plurality of pixel points by using a preset detergent concentration detection model to obtain corresponding detergent concentrations at the pixel points, wherein the detergent concentration detection model is obtained by training the spectral curves of washing mixed solutions with different detergent concentrations in advance;
and comprehensively judging the corresponding detergent concentrations at the plurality of pixel points by using a chemometric algorithm to obtain the detergent concentration of the washing mixed solution.
3. The method of claim 1, wherein
The washing regimen further includes a rinse target concentration, and the control method further includes:
after the washing machine finishes rinsing, starting the hyperspectral imaging device to shoot rinsing waste liquid, and acquiring hyperspectral images of the rinsing waste liquid shot by the hyperspectral imaging device;
determining the concentration of the detergent in the rinsing waste liquid according to the hyperspectral image characteristic information of the rinsing waste liquid;
and controlling the washing machine to perform rinsing again in the case that the concentration of the detergent in the rinsing waste liquid is higher than the rinsing target concentration.
4. The method of claim 3, wherein determining the detergent concentration of the rinse effluent from hyperspectral image characteristic information of the rinse effluent comprises:
selecting a plurality of pixel points in different areas of the hyperspectral image of the rinsing waste liquid, and respectively acquiring spectrum data of the plurality of pixel points;
extracting spectral curves of the spectral data of a plurality of pixel points;
respectively identifying spectral curves of the spectral data of a plurality of pixel points by using a preset detergent concentration detection model to obtain corresponding detergent concentrations at the pixel points, wherein the detergent concentration detection model is obtained by training the spectral curves of rinsing waste liquid with different detergent concentrations in advance;
and comprehensively judging the corresponding detergent concentrations at the plurality of pixel points by using a chemometric algorithm to obtain the detergent concentration of the rinsing waste liquid.
5. The method according to any one of claims 1 to 4, wherein the step of determining a washing scheme according to the material of the laundry comprises:
acquiring a washing start signal of the washing machine;
controlling the hyperspectral imaging device to shoot, and acquiring hyperspectral images of the clothes to be washed, wherein the hyperspectral images are shot by the hyperspectral imaging device;
extracting characteristic information of the hyperspectral image of the clothes to be washed, and identifying the material of the clothes to be washed according to the characteristic information;
and configuring a washing scheme according to the material of the clothes to be washed, and controlling a washing execution system of the washing machine to execute the washing scheme.
6. The method of claim 5, wherein
The characteristic information of the hyperspectral image of the laundry includes characteristic peaks of spectral data, and the step of identifying the material of the laundry according to the characteristic information includes:
and identifying the characteristic peaks of the spectrum data by using a preset material identification model to obtain the material types corresponding to the characteristic peaks of the spectrum data, wherein the material identification model is obtained in advance according to various clothing materials and the corresponding characteristic peaks of the spectrum data.
7. The method of claim 6, wherein
The hyperspectral image of the laundry further includes image data, and the step of extracting characteristic information of the hyperspectral image of the laundry further includes:
judging the image data of the clothes to be washed by using a neural network algorithm, and determining the material type quantity of the clothes to be washed;
and respectively extracting the characteristic information of the hyperspectral images of the clothes to be washed of various materials.
8. The method of claim 6, wherein
In the case that the laundry contains a plurality of materials, the step of configuring a washing scheme according to the materials of the laundry includes:
selecting a shuffling scheme from corresponding shuffling schemes of the plurality of materials, the shuffling scheme satisfying conditions for avoiding damage to the plurality of materials; and is also provided with
And outputting prompt information for prompting that the clothes to be washed cannot be shuffled under the condition that the shuffling scheme does not exist from the corresponding washing schemes of the plurality of materials.
9. The method of claim 5, wherein the washing protocol further specifies any one or more of:
washing time, washing intensity, detergent type.
10. A washing machine, comprising:
an outer tub for accommodating washing water;
an inner tub rotatably disposed 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 inner barrel, and the hyperspectral imaging device is used for shooting hyperspectral images of the washing mixed solution; and
a controller comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, implements the laundry control method according to any one of claims 1 to 9.
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| CN111270479B (en) * | 2020-02-03 | 2024-03-08 | 青岛海尔洗衣机有限公司 | Automatic throwing control method for washing machine |
| EP3861925B1 (en) * | 2020-02-05 | 2023-11-01 | Martin Herbst | Toilet seat with a device for detecting values and method of use thereof |
| CN113564866B (en) * | 2020-04-29 | 2024-02-06 | 重庆海尔滚筒洗衣机有限公司 | Washing machine control method based on washing water spectrum analysis and washing machine |
| CN113668179A (en) * | 2020-05-14 | 2021-11-19 | 惠而浦（中国）股份有限公司 | Control method of washing machine with fluorescent agent detection function and washing machine |
| CN111642999A (en) * | 2020-06-28 | 2020-09-11 | 珠海格力电器股份有限公司 | Cleaning agent output structure, cleaning device and preparation method of cleaning agent |
| CN113489869A (en) * | 2021-07-05 | 2021-10-08 | 深圳市威视佰科科技有限公司 | Clothing material identification method based on hyperspectral camera |
| CN113417112B (en) * | 2021-07-29 | 2023-02-28 | 无锡小天鹅电器有限公司 | Washing reminding method and device and clothes treatment equipment |
| US20230067550A1 (en) * | 2021-09-01 | 2023-03-02 | Haier Us Appliance Solutions, Inc. | Systems and methods for using artificial intelligence to perform detergent dispenser diagnostics in a washing |
| US11725322B2 (en) | 2021-10-06 | 2023-08-15 | Whirlpool Corporation | Better dosing with a virtual and adaptive low cost doser |
| CN114494739B (en) * | 2022-01-27 | 2022-09-23 | 宿迁腾安新型建材有限公司 | Toner mixing effect detection method based on artificial intelligence |
| CN115110244A (en) * | 2022-06-29 | 2022-09-27 | 北京卡普拉科技有限公司 | Washing control method and system |
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| US7690061B2 (en) * | 2005-12-22 | 2010-04-06 | General Electric Company | Method and apparatus for controlling a laundering process |
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| CN106917223B (en) * | 2015-12-25 | 2019-10-01 | 青岛海尔滚筒洗衣机有限公司 | A kind of clothes washing control method, washing machine and system |
| EP3235939B1 (en) * | 2016-04-21 | 2021-06-09 | Electrolux Appliances Aktiebolag | Method for the detection of foam in a laundry washing machine |
| DE102016212985A1 (en) * | 2016-07-15 | 2018-01-18 | Henkel Ag & Co. Kgaa | Detergent identification |
| EP3485274B1 (en) * | 2016-07-15 | 2024-04-24 | Henkel AG & Co. KGaA | Method for ascertaining treatment parameters of a textile by means of structural information |
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| CN107893309A (en) * | 2017-10-31 | 2018-04-10 | 珠海格力电器股份有限公司 | Washing methods and device, clothes washing method and device |
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