CN107729816A - Method and device for determining washing mode, storage medium, processor and dish washing machine - Google Patents
Method and device for determining washing mode, storage medium, processor and dish washing machine Download PDFInfo
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- 238000005406 washing Methods 0.000 title claims abstract description 205
- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000003860 storage Methods 0.000 title claims abstract description 18
- 238000004851 dishwashing Methods 0.000 title claims description 90
- 238000004140 cleaning Methods 0.000 claims abstract description 39
- 238000012545 processing Methods 0.000 claims description 75
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/42—Details
- A47L15/4293—Arrangements for programme selection, e.g. control panels; Indication of the selected programme, programme progress or other parameters of the programme, e.g. by using display panels
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Abstract
The invention discloses a method and a device for determining a washing mode, a storage medium, a processor and a dishwasher. The method comprises the following steps: acquiring an initial image of a washing object within a dishwasher, wherein the initial image is for displaying at least one of: the information of the placement position of the washing objects in the dishwasher, the shape information of the washing objects, the quantity information of the washing objects and the residue information of the washing objects; and identifying the initial image and determining a washing mode corresponding to the initial image. The invention solves the technical problems that in the related art, most of modes of manually selecting washing programs are judged by virtue of repeated use experience, and the finally selected washing programs are probably not matched with washing objects, so that the cleaning effect is influenced or the waste of water and electricity resources is caused.
Description
Technical field
The present invention relates to controlling intelligent household appliances field, a kind of determination method, apparatus in particular to washing mode,
Storage medium, processor and dish-washing machine.
Background technology
Dish-washing machine is the equipment of the tablewares such as daily automatic cleaning bowl, chopsticks, disk, dish, knife, fork.First automatic dishwasher patent exists
Occur within 1850, nineteen twenty-nine, Miller (Miele) company of Germany was manufactured that European First electric household dish-washing machine, in Asia
The research for being engaged in dish-washing machine earliest is in Japan.
At present, automatic bowl washing machine on the market can be divided into domestic bowl-washing and the class of commercial dish-washing machine two.Family expenses are complete certainly
Dynamic dish-washing machine is only applicable to family, and it mainly includes：Cabinet type dish washing machine, table dish-washer and tank integral type dish-washing machine.Business
Two big classification of box type dish washing machine and conveying type dish-washing machine can be divided into according to structure with dish-washing machine, so as to be dining room, hotel, office
The kitchen in unit dining room alleviates labor intensity, improves operating efficiency, enhances sanitation and hygiene ability.
The characteristics of dish-washing machine, can generally include the following aspects：
(1) it is time saving and energy saving.It can mitigate cumbersome hand labour significantly using dish-washing machine washing tableware.Only need what will be washed
Tableware is put into dish-washing machine, opens tap, operating in a key, can relievedly do other things to the greatest extent, wait for without user, just can
Enough it is automatically performed cleaning operation.
(2) dirt-removing power is strong, sterilization is thorough.The most commonly seen purposes of dish-washing machine is cleaning tableware.In 60 DEG C of -70 DEG C of heat
It is underwater that cleaning is repeated several times, can as much as possible by the remaining of tableware surface, it is greasy remove clean, and hepatitis B can also be eliminated
The common virus such as virus, Escherichia coli and germ, so as to be advantageous to health.
(3) it is easy to operate.It is high to wash automaticity, in usually used washing procedure, user washes the dishes according to being put into
The tableware of machine can select following one of which washing mode：Strength washes, washes immediately, save wash, glass is washed, ultrafast washed, is rushed in advance
Wash.Only need tableware being put into dish-washing machine, select one of which cleaning way, dish-washing machine can be in the time range of setting
It is interior, complete the selected functions such as washing, rinsing, sterilization, drying.
(4) energy-saving and water-saving.The power consumption that dish-washing machine washes the dishes every time about 0.15KW/h, water consumption are only 10L, and it is washed than flowing water
Bowl will also be saved.If washing bowl twice daily, charges for water and electricity are only 0.2 yuan, and so low expense be able to can be held by vast family
By.
(5) a tractor serves several purposes.Dish-washing machine can also wash other articles such as veterinary antibiotics, certainly in addition to can be with wash up
It can also be used as disinfection cabinet.
Although the dish-washing machine provided in correlation technique can provide the user above-mentioned facility, but be lacked there is also following
Fall into：Although showing above-mentioned a variety of washing procedures on the contact panel of dish-washing machine, need to combine by manual type and put
Enter the washing procedure that many factors comprehensive descisions such as tableware quantity, the soil level of dish-washing machine are finally selected.It is however, this artificial
The mode of washing procedure is selected mostly by the micro-judgment reused, and the washing procedure finally selected is probably with washing
Wash object not to be adapted to, so as to influence cleaning effect or cause the waste of hydroelectric resources.
For it is above-mentioned the problem of, not yet propose effective solution at present.
The content of the invention
At least part embodiment of the present invention provides the determination method, apparatus, storage medium, processor of a kind of washing mode
And dish-washing machine, mostly by the experience reused in a manner of at least solving in correlation technique by artificial selection washing procedure
Judge, and the washing procedure finally selected is not adapted to probably with washing object, so as to influence cleaning effect or cause
The technical problem of the waste of hydroelectric resources.
According to a wherein embodiment of the invention, there is provided a kind of determination method of washing mode, including：
The initial pictures of washing object in dish-washing machine are gathered, wherein, initial pictures are used to show at least one herein below：
Wash putting position information of the object in dish-washing machine, wash the appearance information of object, the quantity information for washing object, washing pair
The residue information of elephant；Initial pictures are identified, it is determined that washing mode corresponding with initial pictures.
Alternatively, initial pictures are identified, it is determined that washing mode corresponding with initial pictures includes：To initial pictures
Pre-processed, obtain revised target bianry image；Feature extraction is carried out to target bianry image, obtains characteristic information；
Washing mode is chosen from default picture feature storehouse by characteristic information, wherein, default picture feature storehouse be used to being recorded in by
Per washing mode corresponding to class initial pictures difference after deep learning.
Alternatively, initial pictures are pre-processed, obtaining revised target bianry image includes：Initial pictures are entered
Row image enhancement processing, obtain image after enhancing processing；Image carries out image denoising processing after handling enhancing, obtains at denoising
Image after reason；Image dividing processing is carried out to image after denoising, obtains image after dividing processing；To image after dividing processing
Range conversion processing is carried out, obtains grayscale image；Image correction processing is carried out to grayscale image, obtains revised target
Bianry image.
Alternatively, it is identified to initial pictures, it is determined that after washing mode corresponding with initial pictures, in addition to：
Washing object is cleaned according to washing mode；The wash result image of collection washing object；If according to wash result figure
Finished as determining Certain residues on washing object to be present and not yet clean, then restart washing mode or washing mode is entered
Row adjustment, until Certain residues cleaning is finished.
Alternatively, it is identified to initial pictures, it is determined that after washing mode corresponding with initial pictures, in addition to：
Sent a notification message to the terminal that dish-washing machine is bound, wherein, notification message be used for inform Certain residues cleaning difficulty and/
Or notify user adjusts when next time using dish-washing machine to wash according to the occurrence number statistical result of Certain residues position
Wash the putting position of object.
Alternatively, it is identified to initial pictures, it is determined that after washing mode corresponding with initial pictures, in addition to：
The access times of washing mode are counted in predetermined period；When access times exceed predetermined threshold value, subsequently starting dish-washing machine
During preferentially select washing mode.
According to a wherein embodiment of the invention, a kind of determining device of washing mode is additionally provided, including：
Acquisition module, the initial pictures of object are washed in dish-washing machine for gathering, wherein, initial pictures are following for showing
At least one content：Putting position information of the object in dish-washing machine is washed, the appearance information of object is washed, washs the number of object
Measure information, wash the residue information of object；Determining module, for initial pictures to be identified, it is determined that with initial pictures pair
The washing mode answered.
Optionally it is determined that module includes：Processing unit, for being pre-processed to initial pictures, obtain revised mesh
Mark bianry image；Extraction unit, for carrying out feature extraction to target bianry image, obtain characteristic information；Determining unit, it is used for
Washing mode is chosen from default picture feature storehouse by characteristic information, wherein, default picture feature storehouse be used to being recorded in by
Per washing mode corresponding to class initial pictures difference after deep learning.
Alternatively, processing unit includes：First processing subelement, for carrying out image enhancement processing to initial pictures, is obtained
Image after being handled to enhancing；Second processing subelement, image denoising processing is carried out for image after handling enhancing, obtains denoising
Image after processing；3rd processing subelement, for carrying out image dividing processing to image after denoising, after obtaining dividing processing
Image；Fourth process subelement, for carrying out range conversion processing to image after dividing processing, obtain grayscale image；5th
Subelement is handled, for carrying out image correction processing to grayscale image, obtains revised target bianry image.
Alternatively, said apparatus also includes：Cleaning module, for being cleaned according to washing mode to washing object；Adopt
Collect module, be additionally operable to the wash result image of collection washing object；Cleaning module, if be additionally operable to true according to wash result image
Surely wash Certain residues on object to be present and not yet clean and finish, then restart washing mode or washing mode is adjusted
It is whole, until Certain residues cleaning is finished.
Alternatively, said apparatus also includes：Notification module, for being sent a notification message to the terminal that dish-washing machine is bound,
Wherein, notification message is used to inform the cleaning difficulty of Certain residues and/or goes out occurrence according to Certain residues position
Number statistical result notifies user to adjust the putting position of washing object when using dish-washing machine next time.
Alternatively, said apparatus also includes：Statistical module, for counting the use time of washing mode in predetermined period
Number；Memory module, for when access times exceed predetermined threshold value, preferential select to be washed during dish-washing machine is subsequently started
Pattern.
According to a wherein embodiment of the invention, a kind of storage medium is additionally provided, storage medium includes the program of storage, its
In, equipment performs the determination method of above-mentioned washing mode where controlling storage medium when program is run.
According to a wherein embodiment of the invention, a kind of processor is additionally provided, processor is used for operation program, wherein, journey
The determination method of above-mentioned washing mode is performed during sort run.
According to a wherein embodiment of the invention, a kind of dish-washing machine is additionally provided, including：One or more processors, storage
Device, image collecting device and one or more programs, wherein, one or more programs are stored in memory, and by
It is configured to be performed by one or more processors, one or more programs are used for the determination method for performing above-mentioned washing mode.
In at least part embodiment of the present invention, using the initial pictures that object is washed in collection dish-washing machine, the initial graph
As being used for showing at least one herein below：Putting position information, the profile of washing object of the object in dish-washing machine is washed to believe
Cease, the mode of the residue information of the quantity information of washing object, washing object, by the way that initial pictures are identified, it is determined that
Washing mode corresponding with initial pictures, and then independently selected according to the recognition result of the initial pictures collected using dish-washing machine
Washing mode come substitute manually by virtue of experience judge selection washing procedure by way of, so as to improve washing object with washing
Matching degree, lifting operating efficiency between pattern, and then solve in correlation technique by way of artificial selection washing procedure
Mostly by the micro-judgment reused, and the washing procedure finally selected is not adapted to probably with washing object, from
And influence cleaning effect or cause the technical problem of the waste of hydroelectric resources.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, forms the part of the application, this hair
Bright schematic description and description is used to explain the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 shows a kind of hardware block diagram for being used to realize the dish-washing machine of the determination method of washing mode；
Fig. 2 is the flow chart according to the present invention wherein determination method of the washing mode of an embodiment；
Fig. 3 is the structured flowchart according to the present invention wherein determining device of the washing mode of an embodiment；
Fig. 4 is the structured flowchart according to the present invention wherein determining device of the washing mode of a preferred embodiment.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, it should all belong to the model that the present invention protects
Enclose.
It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, "
Two " etc. be for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so use
Data can exchange in the appropriate case, so as to embodiments of the invention described herein can with except illustrating herein or
Order beyond those of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, be not necessarily limited to for example, containing the process of series of steps or unit, method, system, product or equipment
Those steps or unit clearly listed, but may include not list clearly or for these processes, method, product
Or the intrinsic other steps of equipment or unit.
According to a wherein embodiment of the invention, there is provided the embodiment of a kind of determination method of washing mode is, it is necessary to illustrate
, can be held the step of the flow of accompanying drawing illustrates in the computer system of such as one group computer executable instructions
OK, although also, show logical order in flow charts, in some cases, can be with different from order herein
Perform shown or described step.
This method embodiment can perform in dish-washing machine.Fig. 1 shows a kind of determination side for being used to realize washing mode
The hardware block diagram of the dish-washing machine of method.As shown in figure 1, dish-washing machine 10 mainly include it is one or more (in figure using 102a,
102b ... ..., 102n are shown) (processor 102 can include but is not limited to microprocessor (MCU) or programmable to processor 102
The processing unit of logical device (FPGA) etc.) and memory 104 for data storage.In addition, dish-washing machine 10 may be used also
With including (not showing that following all components in figure)：Image collecting device, input/output interface (I/O interfaces), general serial
Bus (USB) port (can be included as a port in the port of I/O interfaces), network interface, contact panel, electricity
Source, spray arm and transmitting device.It will appreciated by the skilled person that the structure shown in Fig. 1 is only to illustrate, it is not right
The structure of above-mentioned dish-washing machine causes to limit.For example, dish-washing machine 10 may also include the component more or less than shown in Fig. 1,
Or there is the configuration different from shown in Fig. 1.
It is to be noted that said one or multiple processors 102 and/or other data processing circuits lead to herein
It can often be referred to as " data processing circuit ".The data processing circuit can be presented as software, hardware, firmware with all or part of
Or other any combination.In addition, data processing circuit can be single independent processing module, or all or part of be attached to is washed
In any one in other elements in bowl machine 10.
Memory 104 can be used for the software program and module of storage application software, in a wherein embodiment of the invention
Washing mode determination method corresponding to programmed instruction/data storage device, processor 102 by operation be stored in memory
Software program and module in 104, so as to perform various function application and data processing, that is, realize above-mentioned washing mode
Determination method.Memory 104 may include high speed random access memory, may also include nonvolatile memory, such as one or more
Individual magnetic storage device, flash memory or other non-volatile solid state memories.In some instances, memory 104 can be further
Including network connection to dish-washing machine 10 can be passed through relative to the remotely located memory of processor 102, these remote memories.
The example of above-mentioned network includes but is not limited to internet, intranet, LAN, mobile radio communication and combinations thereof.
Transmitting device is used to data are received or sent via a network.Above-mentioned network instantiation may include to wash the dishes
The wireless network that the communication providerses of machine 10 provide.In an example, transmitting device includes a network adapter
(Network Interface Controller, referred to as NIC), its can be connected with other network equipments so as to internet
Communicated.In an example, transmitting device can be radio frequency (Radio Frequency, referred to as RF) module, and it is used for
Wirelessly communicated with internet.
Image collecting device (such as：Camera) chamber door or box inside of dish-washing machine can be installed on, wherein it is possible to
Installation camera on the inside of chamber door, can also for gathering initial pictures after user is put into washing object into dish-washing machine every time
Multiple fixing cameras are installed in box inside, or, one or more slides cameras, in user every time to dish-washing machine
Initial pictures are gathered after being inside put into washing object.
Under above-mentioned running environment, this application provides the determination method of washing mode as shown in Figure 2.Fig. 2 is basis
The flow chart of the present invention wherein determination method of the washing mode of an embodiment.As shown in Fig. 2 this method comprises the following steps：
Step S20, the initial pictures of the interior washing object of collection dish-washing machine, wherein, initial pictures are used to show herein below
At least one：Putting position information, the appearance information of washing object, the quantity of washing object of the object in dish-washing machine is washed to believe
The residue information of breath, washing object；
Initial pictures are identified by step S22, it is determined that washing mode corresponding with initial pictures.
By above-mentioned steps, the initial pictures of washing object in collection dish-washing machine can be used, the initial pictures are for showing
Show at least one herein below：Wash putting position information of the object in dish-washing machine, the appearance information for washing object, washing pair
The mode of the quantity information of elephant, the residue information of washing object, by the way that initial pictures are identified, it is determined that and initial pictures
Corresponding washing mode, so using dish-washing machine according to the recognition result of the initial pictures collected independently select washing mode come
Substitution is by way of manually by virtue of experience judging selection washing procedure, so as to improve between washing object and washing mode
Matching degree, lifting operating efficiency, and then solve and rely on weight in correlation technique mostly by way of artificial selection washing procedure
The micro-judgment used again, and the washing procedure finally selected is not adapted to probably with washing object, so as to influence to clean
Effect or cause hydroelectric resources waste technical problem.
Above-mentioned washing object can be including but not limited to following several classes：
The first kind, tableware, such as：Bowl, plate, chopsticks, plate, cup；
Second class, pan, such as：Frying pan, frying pan, steamer；
3rd class, fruits and vegetables, such as：Apple, pears, romaine lettuce, carrot；
4th class, mother and baby's articles for use, such as：Feeding bottle, toothbrush, toy；
5th class, fresh food, such as：Lobster, conch, raw oyster.
Other miscellanies, such as：The filter screen of lampblack absorber.
Alternatively, in step S22, initial pictures are identified, it is determined that washing mode corresponding with initial pictures can
With including step performed below：
Initial pictures are pre-processed by step S221, obtain revised target bianry image；
Step S222, feature extraction is carried out to target bianry image, obtains characteristic information；
Step S223, washing mode is chosen from default picture feature storehouse by characteristic information, wherein, preset picture feature
Storehouse is used to be recorded in after deep learning per washing mode corresponding to class initial pictures difference.
Image preprocessing is the important process of cleannes detection, its object is to improve the quality of image, enhancing target with
The contrast of background, the noise in image acquisition process is removed, and then split by image, range conversion and to segmentation result
Make a distinction, to cause revised target bianry image to be more conducive to follow-up detection work.
By being extracted to the target signature in revised target bianry image, to classify to target, its
In, the feature of extraction can be divided into morphological feature, gray feature, textural characteristics.
Morphological feature can represent the essential characteristic of target, and it can include but is not limited to：Region area, girth, center of gravity,
Maximum diameter and most path.
Gray feature can be obtained by the grey level histogram of image, wherein, the characteristic parameter of histogram can include but
It is not limited to：Average value, variance, flexure, kurtosis, energy.
Textural characteristics can carry out textural characteristics calculating by gray level co-occurrence matrixes, and its characteristic parameter can be included but not
It is limited to：Roughness, contrast, the degree of correlation, variance, inverse difference moment.
Colour recognition, texture recognition and shape recognition can be carried out by the feature of extraction, so it is special from default picture
Sign chooses washing mode in storehouse.
The washing mode that existing dish-washing machine can provide can generally include following several：
(1) strongly wash, for serious pollution tableware and the tableware of residual a period of time；
(2) wash immediately, for daily cleaning timely after meal；
(3) energy-conservation is washed, fully immersion, water and electric saving；
(4) glass is washed, for having the glass of slight pollution and the higher porcelain of class；
(5) it is ultrafast to wash, ultrafast Low-temperature cleaning greasy dirt tableware；
(6) pre-flush, for the tableware not having to temporarily or storage time is more long；
(7) degerming to wash, quick high-temp is cleaned to strengthen bacteria-eliminating efficacy.
In the design phase of dish-washing machine, research staff can consider putting position letter of the washing object in dish-washing machine
At least one of breath, the appearance information of washing object, the quantity information for washing object, the residue information for washing object factor
Or the combination between a variety of different factors, each washing mode that dish-washing machine, which is respectively adopted, to be provided are carried out clearly to it
Wash, and then every kind of factor or the optimal washing mode corresponding to every kind of combination are determined by largely repeating experiment.Then, allow and wash
Bowl eedle carries out deep learning to a kind of picture corresponding to every kind of optimal washing mode, obtains above-mentioned default picture feature storehouse.
Finally, dish-washing machine is compared by the way that characteristic information is carried out into similarity with all kinds of pictures, finds out the classification of similarity highest, and obtain
Take corresponding washing mode.
Alternatively, in step S221, initial pictures are pre-processed, obtaining revised target bianry image can be with
Including step performed below：
Step S2211, image enhancement processing is carried out to initial pictures, obtain image after enhancing processing；
Step S2212, image carries out image denoising processing after handling enhancing, obtains image after denoising；
Step S2213, image dividing processing is carried out to image after denoising, obtains image after dividing processing；
Step S2214, range conversion processing is carried out to image after dividing processing, obtains grayscale image；
Step S2215, image correction processing is carried out to grayscale image, obtains revised target bianry image.
It is possible, firstly, to pass through frequency domain facture (method of modification image Fourier transformation realizes that the enhancing to image is handled)
Or spatial processing method (by grey scale mapping convert based on the pixel in image is handled) come protrude the marginal information of image,
Improve contrast, strengthen the contour feature of image, the image after enhancing processing.
Secondly, the polytype noise in image can be eliminated using Mean Filtering Algorithm, schemed after obtaining filtering process
Picture, when the difference of the average value of the gray value of multiple pixels in specific pixel point and its neighborhood is not less than predetermined threshold value, then still
So retain that its gray value is constant, when the difference of specific pixel point and the average value of the gray value of multiple pixels in its neighborhood exceedes
Predetermined threshold value, then using the average value of the gray value of multiple pixels come instead of the gray value of each pixel.
Again, the different zones for having specific meaning in image after filtering process are made a distinction, the mutual not phase in these regions
Hand over, each region meets the uniformity of specific region.Specifically, can use Threshold Segmentation Algorithm by close and together with side
Boundary is defined as not overlapping region, and when carrying out image segmentation using threshold rule, all gray values are more than or equal to predetermined threshold value
Pixel be identified as background.Complete to split image using threshold value, it is all closing that can cause the region after segmentation, point
The result cut forms bianry image.
Then, grayscale image then by range conversion by bianry image is converted into, in the grayscale image, each picture
The gray level of element is the distance between the pixel and the background away from its nearest neighbours.Calculate the pixel and all background pixel points
The distance between, then choose minimum value.
Finally, the different positional information of particle object pixel is converted into different half-tone informations using range conversion,
The watershed algorithm of self-adaption binaryzation is recycled to distinguish pixel of different nature, as long as these boundary points are marked, just
Target complex can be split up into single target, obtain revised target bianry image.
Alternatively, in step S22, initial pictures are identified, it is determined that after washing mode corresponding with initial pictures,
Step performed below can also be included：
Step S23, washing object is cleaned according to washing mode；
Step S24, the wash result image of collection washing object；
Step S25, if determining Certain residues on washing object to be present and not yet clean to finish according to wash result image,
Then restart washing mode or washing mode is adjusted, until Certain residues cleaning is finished.
Using above-mentioned washing mode to washing object clean during or cleaning terminate after, can adopt in real time
The wash result image of collection washing object, finish, then illustrate if it find that Certain residues be present on washing object and not yet clean
It is unsatisfactory in the presence of the cleaning effect for being difficult to the residuals or above-mentioned washing mode cleaned on washing object.Thus, wash the dishes
Machine can independently select to be again started up above-mentioned washing mode to do residuals further cleaning, if cleaning effect is still paid no attention to
Think, then can be lifted washing mode cleaning strength (such as：It will immediately wash and be adjusted to strongly to wash).Or can also directly it carry
The cleaning strength of washing mode is risen, until Certain residues cleaning is finished.
Alternatively, in step S22, initial pictures are identified, it is determined that after washing mode corresponding with initial pictures,
Step performed below can also be included：
Step S26, sent a notification message to the terminal that dish-washing machine is bound, wherein, notification message is used to inform that part is residual
Stay the cleaning difficulty of thing and/or notify user to make next time according to the occurrence number statistical result of Certain residues position
With the putting position of adjustment washing object during dish-washing machine.
For being difficult to clearly residue on above-mentioned washing object, dish-washing machine can by above-mentioned transmitting device via
Terminal sends a notification message used in wireless network to user.Specifically, user can move in mobile phone or notebook computer etc.
Official is downloaded in dynamic terminal and applies (APP), then, is bound mobile terminal and dish-washing machine by registering operation.By upper
Notification message is stated, the more difficult cleaning of the such residue of user can be informed, after next use, should be immediately placed in dish-washing machine
Cleaned.In addition, dish-washing machine can also be to residue appearance position count, if occurring residue on ad-hoc location
Number exceed predetermined threshold value, then show in whole washing process, dish-washing machine is limited to the cleansing power of the ad-hoc location.For
This, if user, when washing number of objects is less, should avoid these positions as far as possible when using dish-washing machine next time, and
Washing object is placed in the more preferable region of cleaning performance；If, should be lighter by greasy dirt when washing number of objects is more
Or the less washing object of residue is placed in these positions, and the washing object that greasy dirt is heavier or residue is more is placed in
The more preferable region of cleaning performance.Moreover, dish-washing machine can also send above-mentioned notification message to the backstage clothes of production firm
Business device, in order to which research staff improves the follow-up replacement design of product.
Alternatively, in step S22, initial pictures are identified, it is determined that after washing mode corresponding with initial pictures,
Step performed below can also be included：
Step S27, the access times of washing mode are counted in predetermined period；
Step S28, it is preferential from washing during dish-washing machine is subsequently started when access times exceed predetermined threshold value
Pattern.
It is relatively fixed in view of the permanent kinsfolk in each family, Household diet custom is relatively fixed, each family
Member is relatively fixed to the use habit of dish-washing machine, it is possible thereby to train dish-washing machine to get by long term repeatability
Putting position information of the washing object that particular home is often eaten in dish-washing machine, the appearance information for washing object, washing object
At least one of quantity information, the residue information for washing object.Then, particular home is re-recorded often to eat selected washing
Pattern.Finally, particular home is counted after every meal terminates, the frequency of use of corresponding washing mode, and then to usual washing mould
Formula produces memory, subsequently preferentially to select the usual washing mode during specific time period starts dish-washing machine.
According to a wherein embodiment of the invention, there is provided a kind of embodiment of the determining device of washing mode, Fig. 3 is basis
The structured flowchart of the present invention wherein determining device of the washing mode of an embodiment.As shown in figure 3, the device includes：Gather mould
Block 10, for gather in dish-washing machine wash object initial pictures, wherein, initial pictures be used for show herein below at least it
One：Putting position information of the object in dish-washing machine is washed, the appearance information of object is washed, washs the quantity information of object, washes
Wash the residue information of object；Determining module 20, for initial pictures to be identified, it is determined that washing corresponding with initial pictures
Pattern.
Optionally it is determined that module 20 can include：Processing unit (not shown), for being located in advance to initial pictures
Reason, obtains revised target bianry image；Extraction unit (not shown), carried for carrying out feature to target bianry image
Take, obtain characteristic information；Determining unit (not shown), washed for being chosen by characteristic information from default picture feature storehouse
Pattern is washed, wherein, default picture feature storehouse is used to be recorded in after deep learning wash corresponding respectively per class initial pictures
Pattern.
Alternatively, processing unit (not shown) can include：First processing subelement (not shown), for pair
Initial pictures carry out image enhancement processing, obtain image after enhancing processing；Second processing subelement (not shown), for pair
Image carries out image denoising processing after enhancing processing, obtains image after denoising；3rd processing subelement (not shown),
For carrying out image dividing processing to image after denoising, image after dividing processing is obtained；Fourth process subelement is (in figure not
Show), for carrying out range conversion processing to image after dividing processing, obtain grayscale image；5th processing subelement is (in figure
It is not shown), for carrying out image correction processing to grayscale image, obtain revised target bianry image.
Alternatively, Fig. 4 is the structured flowchart according to the present invention wherein determining device of the washing mode of a preferred embodiment.
As shown in figure 4, said apparatus can also include：Cleaning module 30, for being cleaned according to washing mode to washing object；Adopt
Collect module 10, be additionally operable to the wash result image of collection washing object；Cleaning module 30, if be additionally operable to according to wash result figure
Finished as determining Certain residues on washing object to be present and not yet clean, then restart washing mode or washing mode is entered
Row adjustment, until Certain residues cleaning is finished.
Alternatively, as shown in figure 4, said apparatus can also include：Notification module 40, for the end bound with dish-washing machine
End sends a notification message, wherein, notification message is used to inform the cleaning difficulty of Certain residues and/or according to Certain residues institute
Occurrence number statistical result in position notifies user to adjust the putting position of washing object when using dish-washing machine next time.
Alternatively, as shown in figure 4, said apparatus can also include：Statistical module 50, washed for being counted in predetermined period
Wash the access times of pattern；Memory module 60, for when access times exceed predetermined threshold value, subsequently starting the mistake of dish-washing machine
Preferentially washing mode is selected in journey.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, and does not have in some embodiment
The part of detailed description, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents, others can be passed through
Mode is realized.Wherein, device embodiment described above is only schematical, such as the division of the unit, Ke Yiwei
A kind of division of logic function, can there is an other dividing mode when actually realizing, for example, multiple units or component can combine or
Person is desirably integrated into another system, or some features can be ignored, or does not perform.Another, shown or discussed is mutual
Between coupling or direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, unit or module
Connect, can be electrical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On unit.Some or all of unit therein can be selected to realize the purpose of this embodiment scheme according to the actual needs.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part to be contributed in other words to prior art or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer
Equipment (can be personal computer, server or network equipment etc.) perform each embodiment methods described of the present invention whole or
Part steps.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (15)
1. a kind of determination method of washing mode, it is characterised in that including：
The initial pictures of washing object in dish-washing machine are gathered, wherein, the initial pictures are used to show at least one herein below：
The putting position information that object is washed in the dish-washing machine, the appearance information of the washing object, the washing object
Quantity information, it is described washing object residue information；
The initial pictures are identified, it is determined that washing mode corresponding with the initial pictures.
2. according to the method for claim 1, it is characterised in that the initial pictures are identified, it is determined that with it is described just
The washing mode includes corresponding to beginning image：
The initial pictures are pre-processed, obtain revised target bianry image；
Feature extraction is carried out to the target bianry image, obtains characteristic information；
The washing mode is chosen from default picture feature storehouse by the characteristic information, wherein, the default picture feature
Storehouse is used to be recorded in after deep learning per washing mode corresponding to class initial pictures difference.
3. according to the method for claim 2, it is characterised in that the initial pictures are pre-processed, obtain described repair
Target bianry image after just includes：
Image enhancement processing is carried out to the initial pictures, obtains image after enhancing processing；
Image carries out image denoising processing after handling the enhancing, obtains image after denoising；
Image dividing processing is carried out to image after the denoising, obtains image after dividing processing；
Range conversion processing is carried out to image after the dividing processing, obtains grayscale image；
Image correction processing is carried out to the grayscale image, obtains the revised target bianry image.
4. according to the method for claim 1, it is characterised in that be identified to the initial pictures, it is determined that with it is described
After the washing mode corresponding to initial pictures, in addition to：
The washing object is cleaned according to the washing mode；
Gather the wash result image of the washing object；
If determining Certain residues on the washing object to be present and not yet clean to finish according to the wash result image, weigh
Newly start the washing mode or the washing mode is adjusted, until Certain residues cleaning is finished.
5. according to the method for claim 4, it is characterised in that be identified to the initial pictures, it is determined that with it is described
After the washing mode corresponding to initial pictures, in addition to：
Sent a notification message to the terminal bound with the dish-washing machine, wherein, the notification message is used to inform that the part is residual
Stay the cleaning difficulty of thing and/or notify user next according to the occurrence number statistical result of the Certain residues position
It is secondary using the dish-washing machine when adjust it is described washing object putting position.
6. according to the method for claim 1, it is characterised in that be identified to the initial pictures, it is determined that with it is described
After the washing mode corresponding to initial pictures, in addition to：
The access times of the washing mode are counted in predetermined period；
When the access times exceed predetermined threshold value, the washing mould is preferentially selected during dish-washing machine is subsequently started
Formula.
A kind of 7. determining device of washing mode, it is characterised in that including：
Acquisition module, the initial pictures of object are washed in dish-washing machine for gathering, wherein, the initial pictures are following for showing
At least one content：The putting position information of the washing object in the dish-washing machine, the appearance information of the washing object,
The residue information of the quantity information of the washing object, the washing object；
Determining module, for the initial pictures to be identified, it is determined that washing mode corresponding with the initial pictures.
8. device according to claim 7, it is characterised in that the determining module includes：
Processing unit, for being pre-processed to the initial pictures, obtain revised target bianry image；
Extraction unit, for carrying out feature extraction to the target bianry image, obtain characteristic information；
Determining unit, for choosing the washing mode from default picture feature storehouse by the characteristic information, wherein, it is described
Default picture feature storehouse is used to be recorded in after deep learning per washing mode corresponding to class initial pictures difference.
9. device according to claim 8, it is characterised in that the processing unit includes：
First processing subelement, for carrying out image enhancement processing to the initial pictures, obtain image after enhancing processing；
Second processing subelement, image denoising processing is carried out for image after handling the enhancing, is schemed after obtaining denoising
Picture；
3rd processing subelement, for carrying out image dividing processing to image after the denoising, schemes after obtaining dividing processing
Picture；
Fourth process subelement, for carrying out range conversion processing to image after the dividing processing, obtain grayscale image；
5th processing subelement, for carrying out image correction processing to the grayscale image, obtains the revised target
Bianry image.
10. device according to claim 7, it is characterised in that described device also includes：
Cleaning module, for being cleaned according to the washing mode to the washing object；
The acquisition module, it is additionally operable to gather the wash result image of the washing object；
The cleaning module, if being additionally operable to determine that part be present on the washing object remains according to the wash result image
Thing is not yet cleaned and finished, then restarts the washing mode or the washing mode is adjusted, until by the portion
Residue cleaning is divided to finish.
11. device according to claim 10, it is characterised in that described device also includes：
Notification module, for being sent a notification message to the terminal bound with the dish-washing machine, wherein, the notification message is used to accuse
Know the cleaning difficulty of the Certain residues and/or led to according to the occurrence number statistical result of the Certain residues position
Know that user adjusts the putting position of the washing object when next time using the dish-washing machine.
12. device according to claim 7, it is characterised in that described device also includes：
Statistical module, for counting the access times of the washing mode in predetermined period；
Memory module, for when the access times exceed predetermined threshold value, preferentially being selected during dish-washing machine is subsequently started
With the washing mode.
A kind of 13. storage medium, it is characterised in that the storage medium includes the program of storage, wherein, run in described program
When control the storage medium where washing mode in equipment perform claim requirement 1 to 6 described in any one determination method.
A kind of 14. processor, it is characterised in that the processor is used for operation program, wherein, right of execution when described program is run
Profit requires the determination method of the washing mode described in any one in 1 to 6.
A kind of 15. dish-washing machine, it is characterised in that including：One or more processors, memory, image collecting device and one
Individual or multiple programs, wherein, one or more of programs are stored in the memory, and are configured as by described one
Individual or multiple computing devices, one or more of programs are used for the washing described in any one in perform claim requirement 1 to 6
The determination method of pattern.
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| CN201710850564.8A CN107729816A (en) | 2017-09-15 | 2017-09-15 | Method and device for determining washing mode, storage medium, processor and dish washing machine |
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|---|---|---|---|
| CN201710850564.8A CN107729816A (en) | 2017-09-15 | 2017-09-15 | Method and device for determining washing mode, storage medium, processor and dish washing machine |
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