CN110735283B - Washing machine and laundry control method thereof - Google Patents
Washing machine and laundry control method thereof Download PDFInfo
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- CN110735283B CN110735283B CN201810790634.XA CN201810790634A CN110735283B CN 110735283 B CN110735283 B CN 110735283B CN 201810790634 A CN201810790634 A CN 201810790634A CN 110735283 B CN110735283 B CN 110735283B
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
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- 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 a washing machine and a clothes 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: detecting an event of laundry in which the inner tub is put; driving the inner barrel to rotate in a stepping way at a set angle; controlling a hyperspectral imaging device to shoot in the interval time of the stepping rotation of the inner barrel, and acquiring a plurality of groups of hyperspectral images of 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 hyperspectral images; 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 selection by a user. According to the scheme provided by the invention, the washing efficiency is improved, and the user experience is improved.
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.
However, even each piece of clothes is made of different materials, such as pure cotton, linen, silk, chemical fiber, wool, down, leather, blending, terylene and the like, due to different materials of various clothes. The information of the washing time, the washing intensity, the detergent consumption, the rinsing times and the like required by each material are different, but the existing washing machine can only select one washing program, and the washing requirement of each material is not fully considered. In this case, the laundry effect tends to be undesirable, or excessive washing causes waste of water, electricity, detergent, or washing is not clean.
At present, most intelligent washing machines are used for washing by adding clothes in the washing machine and then manually selecting a washing mode; or selecting the material of the clothes, and presetting a washing mode according to the information of the material, the weight and the like of the clothes. The washing mode mainly includes washing time, washing intensity, detergent addition amount, rinsing times, and the like. The intelligent level of the washing machine is low, and the full-automatic washing machine cannot achieve the optimal washing effect.
Disclosure of Invention
It is an object of the present invention to provide a washing machine that automatically determines and performs a washing scheme, reducing user operations.
A further object of the present invention is to match the determined washing scheme with the laundry to be washed, ensuring the washing effect while reducing the washing damage of the laundry.
In particular, according to an aspect of the present invention, there is provided a laundry washing control method of a washing machine, wherein the washing machine 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: detecting an event of laundry in which the inner tub is put; driving the inner barrel to rotate in a stepping way at a set angle; controlling a hyperspectral imaging device to shoot in the interval time of the stepping rotation of the inner barrel, and acquiring a plurality of groups of hyperspectral images of 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 hyperspectral images; 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 selection by a user.
Optionally, the step of driving the inner tub to rotate in a set angle step includes: the rotation is ended after the inner tub rotates a set number of turns, and the set angle is set to 30 degrees to 180 degrees.
Optionally, the step of confirming the material information of the laundry according to the characteristic information of the plurality of sets of hyperspectral images includes: judging whether the clothes to be washed have single materials or not according to the characteristic information of the plurality of groups of hyperspectral images; 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, determining the washing schemes corresponding to the multiple materials respectively, and selecting an alternative washing scheme from the washing schemes corresponding to the multiple materials.
Optionally, the step of selecting an alternative washing scheme from the corresponding washing schemes of the plurality of materials comprises: selecting a scheme with minimum damage to clothes to be washed from corresponding washing schemes 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 an alternative washing scheme.
Optionally, under the condition that the corresponding washing schemes of the multiple materials cannot meet the washing requirements of all the multiple materials, a prompt message is output for prompting that the clothes to be washed cannot be shuffled.
Optionally, the step of determining whether the laundry has a single material according to the characteristic information of the plurality of sets of hyperspectral images includes: identifying characteristic peaks of the spectrum 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 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 in a training way; judging whether the hyperspectral image has a single material or not according to the identification results of the hyperspectral images.
Optionally, the process of controlling the hyperspectral imaging device to shoot further comprises: a broad spectrum light source corresponding to the hyperspectral imaging device is started to provide the broad spectrum light required by shooting.
Optionally, the washing regimen is defined with any one or more of the following: washing time, washing intensity, addition amount of detergent, type of detergent, and number of rinsing times.
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 clothes placing area of the inner barrel, and the hyperspectral imaging device is used for shooting hyperspectral images of clothes to be washed; and a controller including 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 clothes placing area of the inner barrel, and a washing scheme is obtained according to hyperspectral image analysis obtained through shooting. Because the comprehensive image data and the spectrum data in the hyperspectral image can accurately determine the material of the washed clothes, 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 the washing abrasion of the clothes is effectively reduced on the premise of ensuring the washing cleanliness. In addition, in order to prevent the problem that after the clothes are put in, part of the clothes are blocked due to accumulation, the material of all the clothes cannot be determined, and after the event of the clothes to be washed, in which the inner tub is put in, is detected; driving the inner barrel to rotate in a stepping way at a set angle; and controlling the hyperspectral imaging device to shoot for a plurality of times in the interval time of the stepping rotation of the inner barrel, so as to obtain a more comprehensive hyperspectral image.
Furthermore, the washing scheme is configured by the controller according to the hyperspectral image, the image characteristic information and the characteristic spectrum information are comprehensively utilized, and clothes to be washed with different materials can be treated, so that the use experience of the washing machine is further improved.
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 data flow diagram of a laundry machine for determining laundry quality according to an embodiment of the present invention; and
fig. 7 is a flowchart of determining a washing scheme of a washing machine according to one embodiment of the present invention.
Detailed Description
The present embodiment first provides a washing machine 10, which automatically determines a washing scheme by means of hyperspectral image analysis technology, and effectively reduces damage caused by washing abrasion of clothes on the premise of ensuring the cleanliness of washing.
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.
As the materials of the washed laundry become more and more abundant, the washed laundry of each material has different washing requirements (such as different washing time, washing strength, detergent addition amount, rinsing times, and dewatering strength) due to the characteristics of the materials. The conventional washing control method selected by the user from the preset washing modes has failed to meet the user's demands. The washing machine 10 of the embodiment uses the hyperspectral imaging device 200 to shoot the clothes placement area of the inner tub 120, and the controller 300 can obtain a washing scheme according to the 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 the washing abrasion of the clothes is effectively reduced on the premise of ensuring the washing cleanliness.
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 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.
In order to prevent the problem that the material of the whole laundry cannot be determined due to the shielding of a part of the laundry caused by the accumulation after the laundry is put in, after detecting the event of laundry in which the inner tub 120 is put in; driving the inner tub 120 to rotate in a stepwise manner by a set angle; and controlling the hyperspectral imaging device 200 to shoot for multiple times in the interval time of the stepping rotation of the inner barrel, so as to obtain multiple groups of hyperspectral images, and respectively processing the multiple groups of hyperspectral images, so that a more accurate identification result is obtained.
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, to accomplish control of laundry. The laundry washing control method of the washing machine may include:
step S402, detecting an event of laundry being put into the inner tub 120, for example, detecting whether laundry is put into the inner tub after confirming that the door of the washing machine 10 is closed; 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.
Step S404, driving the inner barrel 120 to rotate in a stepping manner at a set angle; the hyperspectral imaging device 200 is controlled to shoot in the interval time of the step rotation of the inner tub 120, and a plurality of groups of hyperspectral images of the clothes to be washed are 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 lifting rib of the inner tub 120, for example, 30 to 180 degrees. The rotation is ended after the set number of turns is completed, so that a plurality of groups of hyperspectral images can be shot. The broad spectrum light source 220 provided corresponding to the hyperspectral imaging apparatus 200 may also be activated during photographing to provide a broad spectrum light required for photographing.
And step S406, respectively extracting the characteristics of the plurality of groups of hyperspectral images to obtain the characteristic information of the plurality of groups of hyperspectral images. 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 material may be multiple, and the step of extracting the feature information of each set of hyperspectral images 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.
Step S408, 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 selection by a user.
Under the condition that the clothes to be washed are judged to have single materials according to the characteristic information of the plurality of groups of hyperspectral images, a washing scheme corresponding to the single materials can be determined as an alternative washing scheme. And under the condition that the clothes to be washed have multiple materials, respectively determining washing schemes corresponding to the multiple materials, and selecting an alternative washing scheme from the washing schemes corresponding to the multiple materials. Selecting a scheme with minimum damage to clothes to be washed from corresponding washing schemes 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 an alternative washing scheme.
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.
In the washing process, the hyperspectral imaging device 200 can also be used for photographing the washing mixed solution or the rinsing waste liquid after rinsing to obtain hyperspectral images of the washing mixed solution and the rinsing waste liquid, so that the hyperspectral images of the washing mixed solution and the rinsing waste liquid are used for determining the concentration of the detergent in the washing mixed solution and the rinsing waste liquid, and the washing process is adjusted.
For example, after determining the washing regimen, the detergent dispenser 410 may be controlled to dispense detergent in an initial dosage amount; the hyperspectral imaging device 200 starts shooting the washing mixed solution, and determines the concentration of the detergent in the washing mixed solution according to 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.
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 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.
After the washing machine finishes rinsing, the hyperspectral imaging device 200 can also shoot the rinsing waste liquid, and obtain a hyperspectral image of the rinsing waste liquid shot by the hyperspectral imaging device 200. Thereby 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. 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 in the washing mixed liquid, and the description is omitted.
The washing condition can be more in accordance with the requirement of the material of the clothes through the content (concentration) of the detergent, and whether the clothes are cleaned 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 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, the inner barrel 120 is rotated, and the hyperspectral imaging device 200 is controlled to shoot in the rotating process, so as to obtain hyperspectral images of a plurality of groups 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 the laundry is put into the inner tub 120, the washing machine 10 is started, the inner tub 120 is driven to rotate in a stepping manner, the wide spectrum light source 220 and the hyperspectral imaging device are started, a plurality of groups of hyperspectral images of the laundry are photographed in a rotation interval, and then image data and spectrum data are extracted for each group of hyperspectral images. 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 data flow chart of determining laundry quality of the washing machine 10 according to an embodiment of the present invention, in which a solid frame is a data block and a virtual frame is a data process, a hyperspectral image of laundry to be washed obtained by photographing by the hyperspectral imaging device 200 includes image data and spectrum data, wherein the image data is calculated by a neural network algorithm to determine the laundry quantity, and then the laundry quantity and spectrum data are calculated and identified by a chemical calculation algorithm model of a hometown, so as to obtain laundry quality information.
The material quality of the clothes is identified through the combination of image data and spectrum data in hyperspectral image data, wherein the image data can be used for carrying out type identification, and the neural network algorithm is used for identifying the type information of all the clothes. Detecting the material of each piece of clothes, wherein the spectrum range is 1200 2400nm; the absorption peak positions and the intensities of different molecular groups in the clothing material are different, and the material identification is carried out by analyzing the molecular vibration reflected light information and combining a chemometric algorithm, so that the clothing material information and the content information of different materials are obtained.
Fig. 7 is a flowchart of determining a washing scheme of the washing machine 10 according to one embodiment of the present invention, the flowchart including:
step S702, identifying a plurality of clothing materials according to the hyperspectral image;
step S704, judging whether a plurality of materials can be shuffled;
step S706, whether a washing scheme with the least damage is used or not, if so, the washing scheme with the least damage is used as the washing scheme to be used;
step S708, whether the washing scheme with the shortest time is used or not, if so, the washing scheme with the shortest time is used as the washing scheme;
step S710, whether to use a user-defined washing scheme, i.e., a washing scheme selected by the user;
step S712, determining a washing and placing scheme for execution;
step S720, outputting a prompt that the clothes cannot be washed, and prompting a user to take out part of the clothes.
For the case of mixing a plurality of clothes at the same time, if the materials of the clothes are identified to be the same or the washing parameters are similar, the mixing can be performed. Since the laundry items are not necessarily all of the same optimum washing parameters, a compromise in washing mode is required. Firstly, recommending a washing mode with minimal damage to clothes, and if the user approves, starting washing; if not, recommending a washing mode with the shortest washing time, and if yes, starting washing; if not, user-defined washing mode is performed.
For the case of mixing a plurality of clothes at the same time, if the materials of the clothes are different, and the clothes cannot be mixed after judgment, the non-mixed clothes need to be pointed out, a user is reminded to take out the clothes, whether the clothes can be mixed or not is judged, and if the clothes cannot be mixed, the user needs to be reminded to take out the clothes.
The washing machine and the clothes washing control method thereof of the embodiment utilize the hyperspectral imaging device to shoot the clothes placing area of the inner barrel, and obtain a washing scheme according to hyperspectral image analysis obtained by shooting. Because the comprehensive image data and the spectrum data in the hyperspectral image can accurately determine the material of the washed clothes, 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 the washing abrasion of the clothes is effectively reduced on the premise of ensuring the washing cleanliness.
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 (9)
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:
detecting an event of laundry into which the inner tub is put;
driving the inner barrel to rotate in a stepping way at a set angle;
controlling the hyperspectral imaging device to shoot in the interval time of the step rotation of the inner barrel, and acquiring a plurality of groups of hyperspectral images of the clothes to be washed, wherein the hyperspectral images are shot by the hyperspectral imaging device;
respectively extracting the characteristics of a plurality of groups of hyperspectral images to obtain characteristic information of a plurality of groups of hyperspectral images;
confirming the material information of the clothes to be washed according to the characteristic information of a plurality of groups of hyperspectral images, and configuring an alternative washing scheme according to the material information of the clothes to be washed for selection by a user;
wherein, control the hyperspectral imaging device to shoot the in-process still includes:
starting a broad spectrum light source arranged corresponding to the hyperspectral imaging device to provide broad spectrum light required by shooting;
wherein, the process of detecting an event of laundry in which the inner tub is put includes:
after a door closing signal of the washing machine is obtained, detecting whether the clothes to be washed are put in or not;
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 the step of driving the inner tub to rotate in a set angular step comprises:
the rotation is ended after the inner tub rotates a set number of turns, the set angle being set to 30 degrees to 180 degrees.
3. The method of 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 materials or not according to the characteristic information of a plurality of groups of hyperspectral images;
if yes, determining a washing scheme corresponding to the single material as the alternative washing scheme.
4. A method according to claim 3, wherein
And under the condition that the clothes to be washed have a plurality of materials, respectively determining washing schemes corresponding to the plurality of materials, and selecting the alternative washing scheme from the washing schemes corresponding to the plurality of materials.
5. The method of claim 4, wherein selecting the alternative washing scheme from corresponding washing schemes for a plurality of the materials comprises:
selecting a scheme with the least damage to the clothes to be washed from the corresponding washing schemes of a plurality of materials as the alternative washing scheme; or alternatively
And selecting a solution with the least washing time from the corresponding washing solutions of a plurality of materials as the alternative washing solution.
6. The method of claim 4, wherein
Under the condition that the corresponding washing schemes of a plurality of materials cannot meet the washing requirements of all the plurality of materials, outputting prompt information for prompting that the clothes to be washed cannot be shuffled.
7. A method according to claim 3, wherein the step of determining whether the laundry has a single material according to the characteristic information of the plurality of sets of hyperspectral images comprises:
identifying characteristic peaks of the spectrum 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 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 in a training mode;
judging whether the hyperspectral image has a single material or not according to the identification results of the hyperspectral images.
8. The method of claim 1, wherein the washing protocol specifies any one or more of the following:
washing time, washing intensity, addition amount of detergent, type of detergent, and number of rinsing times.
9. 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 clothes placing area of the inner barrel, and the hyperspectral imaging device is used for shooting hyperspectral images of the clothes to be washed; 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 8.
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| CN113550112A (en) * | 2020-04-26 | 2021-10-26 | 青岛海尔洗衣机有限公司 | Washing control method and device and washing machine |
| CN111893705A (en) * | 2020-08-11 | 2020-11-06 | 珠海格力电器股份有限公司 | Clothes care device and clothes care system |
| CN111893706A (en) * | 2020-08-11 | 2020-11-06 | 珠海格力电器股份有限公司 | Clothes care device and clothes care system |
| CN112726166A (en) * | 2020-12-22 | 2021-04-30 | 珠海格力电器股份有限公司 | Washing machine drying control method, system and device based on image recognition |
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| WO2016120392A1 (en) * | 2015-01-30 | 2016-08-04 | Trinamix Gmbh | Detector for an optical detection of at least one object |
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