CN109620078A - Dish-washing machine intelligent control method, dish-washing machine and the device with store function - Google Patents
Dish-washing machine intelligent control method, dish-washing machine and the device with store function Download PDFInfo
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- CN109620078A CN109620078A CN201811549014.3A CN201811549014A CN109620078A CN 109620078 A CN109620078 A CN 109620078A CN 201811549014 A CN201811549014 A CN 201811549014A CN 109620078 A CN109620078 A CN 109620078A
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- tableware
- cleaned
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- washing machine
- cleaning
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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
- A47L15/0018—Controlling processes, i.e. processes to control the operation of the machine characterised by the purpose or target of the control
Abstract
This application discloses a kind of dish-washing machine intelligent control method, dish-washing machine and with the device of store function, this method comprises: obtaining the image of tableware to be cleaned in dish-washing machine；The image is handled, to identify the information of tableware to be cleaned；The determining cleaning model with the information matches of tableware to be cleaned, and dish-washing machine is adjusted to the cleaning model.By the above-mentioned means, the application can be improved the cleaning effect of dish-washing machine and save time and the cleaning resource of cleaning.
Description
Technical field
This application involves Smart Home technical field, more particularly to a kind of dish-washing machine intelligent control method, dish-washing machine and
Device with store function.
Background technique
As the improvement of people's living standards, consumer requires also higher and higher, dish-washing machine conduct to kitchen domestic environment
Modern intelligent kitchen indispensability kitchen appliance can discharge the housework pressure of kinsfolk, save the time, more and more popular with consumers.
The cleaning capacity of dish-washing machine has direct influence to the health of kinsfolk, and most of dish-washing machine washing timing are more currently on the market
For set time and step, cleaning capacity is unstable and there is waste cleaning resource, the undesirable situation of washing effect.
Summary of the invention
The application is mainly solving the technical problems that providing a kind of dish-washing machine intelligent control method, dish-washing machine and having storage
The device of function can be improved the cleaning effect of dish-washing machine.
In order to solve the above technical problems, the technical solution that the application uses is: providing a kind of dish-washing machine intelligent control
Method, comprising: obtain the image of tableware to be cleaned in dish-washing machine；The image is handled, to identify the letter of tableware to be cleaned
Breath；The determining cleaning model with the information matches of tableware to be cleaned, and dish-washing machine is adjusted to the cleaning model.
In order to solve the above technical problems, another technical solution that the application uses is: providing a kind of dish-washing machine, comprising:
Processor and image acquiring device connected to the processor；Image acquiring device is used to obtain tableware to be cleaned in dish-washing machine
Image；Processor is for executing program to realize method as described above.
In order to solve the above technical problems, another technical solution that the application uses is: providing a kind of with store function
Device, storage inside has program instruction, which is performed to realize method as described above.
The beneficial effect of the application is: being in contrast to the prior art, in embodiments herein, is washed the dishes by obtaining
The image of tableware to be cleaned, after handling the image, identifies the information of tableware to be cleaned in machine, finally determine with it is to be cleaned
The cleaning model of the information matches of tableware, and dish-washing machine is adjusted to the cleaning model, so as to according to the meal to be cleaned of identification
The information of tool selects cleaning model appropriate, pointedly cleans tableware, helps to improve the cleaning effect of dish-washing machine.
Detailed description of the invention
Fig. 1 is the flow diagram of the application dish-washing machine intelligent control method first embodiment；
Fig. 2 is the schematic diagram of the information of tableware to be cleaned and the matching relationship of cleaning model；
Fig. 3 is the flow diagram of the application dish-washing machine intelligent control method second embodiment；
Fig. 4 is the idiographic flow schematic diagram of step S122 in Fig. 3；
Fig. 5 is the flow diagram of the application dish-washing machine intelligent control method 3rd embodiment；
Fig. 6 is the flow diagram of the application dish-washing machine intelligent control method fourth embodiment；
Fig. 7 is the flow diagram of the 5th embodiment of the application dish-washing machine intelligent control method；
Fig. 8 is the schematic diagram for the dish-washing machine that discharging device uses the spiral arm with multiple apopores；
Fig. 9 is the flow diagram of the application dish-washing machine intelligent control method sixth embodiment；
Figure 10 is the flow diagram of the 7th embodiment of the application dish-washing machine intelligent control method；
Figure 11 is the flow diagram of the 8th embodiment of the application dish-washing machine intelligent control method；
Figure 12 is the flow diagram of the 9th embodiment of the application dish-washing machine intelligent control method；
Figure 13 is the flow diagram of the tenth embodiment of the application dish-washing machine intelligent control method；
Figure 14 is the structural schematic diagram of one embodiment of the application dish-washing machine；
Figure 15 is the structural schematic diagram for one embodiment of device that the application has store function.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiment is only a part of the embodiment of the application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
As shown in Figure 1, the application dish-washing machine intelligent control method first embodiment includes:
S11: the image of tableware to be cleaned in dish-washing machine is obtained.
Specifically, image acquiring device is equipped in the dish-washing machine, and (such as common black and white camera, colour imagery shot or 3D take the photograph
As head etc.), during user is put into tableware to be cleaned into dish-washing machine or after having placed tableware to be cleaned, the image
The image of tableware to be cleaned in the available dish-washing machine of acquisition device.Wherein, dish-washing machine multiple available tablewares to be cleaned
Image can also obtain the image of tableware different angle to be cleaned by multiple cameras.
S12: handling the image, to identify the information of tableware to be cleaned.
Wherein, the information of tableware to be cleaned includes: the type of tableware to be cleaned, quantity, placement location, material and dirty
At least one in degree.The quantity of tableware to be cleaned may include the sum of tableware to be cleaned, also may include each preparatory stroke
The quantity of the tableware to be cleaned in fixed region.
The placement location of tableware to be cleaned is location information of the tableware to be cleaned in dish-washing machine, can be position coordinates,
It is also possible to the identification information etc. of some band of position.
The material of tableware to be cleaned includes the multiple types such as glass, ceramics, metal, plastics.
The degree of fouling of tableware to be cleaned is an important indicator predetermined for measuring wash dishes complexity,
Related to the residual stains of tableware surface, remaining spot is more, and degree of fouling is higher, and remaining spot is more difficult to clean, dirty
Degree is higher.For example, degree of fouling specific adhesion has the degree of fouling of dish leaf high when tableware surface adhesion has grease stain.
Wherein, the ratio that degree of fouling can account for tableware surface product according to dirty area defines high, medium and low three ranks,
Such as it is more than 70% to be defined as height that dirty area, which accounts for the ratio of tableware surface product, dirty area accounts for the ratio that tableware surface accumulates and exists
In being defined as between 30%~70%, dirty area accounts for the long-pending ratio of tableware surface 30% hereinafter defined as low.
In addition, the information of the tableware to be cleaned can also include tableware to be cleaned type, such as bowl, dish, cup and
Pot etc..
Specifically, when identifying to the image of the tableware to be cleaned of acquisition, it can use image recognition algorithm or preparatory
Trained image recognition model handles image, to identify in image in the above- mentioned information of tableware to be cleaned extremely
Few one kind.
S13: the determining cleaning model with the information matches of tableware to be cleaned, and dish-washing machine is adjusted to the cleaning model.
Wherein, cleaning model includes the cleaning parameters cleaned to tableware to be cleaned, when which includes cleaning
Between, water exit position, water discharging direction, bath dynamics, water temperature, dosage of scour or nozzle quantity etc..
For different tableware information to be cleaned, matched cleaning model may be different.For example, the wash temperature of plastics is not
It can exceed that 80 degrees Celsius, have the tableware of plastics that will adjust temperature, i.e., when material includes plastics in the information of tableware to be cleaned,
Water temperature is no more than 80 degrees Celsius in the cleaning model matched；And grease stain needs high-temperature, heavy duty wash, if the table of tableware to be cleaned
Face has grease stain, then the degree of fouling of the tableware to be cleaned identified is higher, and water temperature is higher in matched cleaning model at this time,
Bath dynamics is larger.Therefore, the information of the tableware to be cleaned obtained by image recognition, the cleaning ginseng of adjustable dish-washing machine
Number, obtains matched cleaning model, to reach intelligent washing.
Specifically, which is stored with the information of tableware to be cleaned and the matching relationship data of cleaning model, example
Matching relationship table as shown in Figure 2 is gone out in dish-washing machine after the information of tableware to be cleaned by image recognition, can be waited for by this
The information searching of tableware is cleaned to matched cleaning model.For example, when the information of the tableware to be cleaned obtained is 8 ceramics, puts
Be placed in upper layer, combination during degree of fouling is when, can be B by the table lookup in Fig. 2 to matched cleaning model.So
Afterwards, dish-washing machine is adjusted to the cleaning model, it can specific aim cleaning is carried out to the tableware to be cleaned in dish-washing machine, to have
Help improve the cleaning effect of dish-washing machine.
It, can be according to extrinsic parameter (such as color, shape of tableware when the application identifies the material of tableware to be cleaned
Deng) judged.
Specifically as shown in figure 3, the application dish-washing machine intelligent control method second embodiment is in the application dish-washing machine intelligence
On the basis of control method first embodiment, further limiting step S12 includes:
S121: the image of the tableware to be cleaned of acquisition is handled, the extrinsic parameter of tableware to be cleaned is obtained.
Wherein, which includes at least the color and shape of tableware to be cleaned.The extrinsic parameter can also include to
Clean the other parameters such as the texture of tableware.
It specifically, can be according to tableware to be cleaned and background when the image of the tableware to be cleaned to acquisition is handled
Difference, identify tableware region to be cleaned, then according to the pixel value and boundary profile in tableware region to be cleaned, determine to clear
The color and shape of wash up.Certainly, which also can be directly used trained image recognition model and is handled,
Extrinsic parameter needed for final output.
S122: matching the extrinsic parameter of tableware to be cleaned and then determines the material of tableware to be cleaned.
Specifically, for most of tableware types, its material directly can be distinguished according to the color and shape of tableware, such as
The color of dinner glass is generally transparent or translucent, and the color of stainless steel tableware is usually silver color etc.；And the shape of tableware can
To provide prior information to the judgement of tableware material, such as usual stainless steel is generally used for the tablewares such as bowl, basin, chopsticks, and cup
Be rarely employed stainless steel material, at the same the type of tableware can identifying in shape from tableware, if therefore some tableware know
Not Chu its shape be bowl shape, simultaneously color be silver color, then may determine that its material be stainless steel.Therefore, can use to
The extrinsic parameter for cleaning tableware, as color and shape determines the material of matched tableware to be cleaned.It is of course also possible in conjunction with multiple
Extrinsic parameter (such as color, shape and texture combination) determines the material of tableware jointly.
Optionally, the material of certain tablewares can not be determined accurately according only to the extrinsic parameter of tableware sometimes, can be borrowed at this time
Ultrasonic technology is helped to be identified.Specifically as shown in figure 4, step S122 includes:
S1221: the color and shape of tableware to be cleaned is obtained from extrinsic parameter, and searches the color with tableware to be cleaned
The material to match with shape.
Specifically, tableware material corresponding data (such as tableware material corresponds to table), the meal can be previously stored in dish-washing machine
Tool material corresponds to the corresponding relationship of the material of color and shape and tableware that tableware is stored in table, one of color and shape
Combination may correspond to various material.After the color and shape for obtaining the tableware to be cleaned in extrinsic parameter, it can pass through
It searches the tableware material and corresponds to table, find the corresponding material of color and shape that the tableware to be cleaned arrives.
S1222: judge whether the material to match with the color and shape of tableware to be cleaned found is more than one.
Specifically, the combination of some color and certain shape may correspond to various material, such as white and bowl-shape combination
Corresponding material has ceramics and plastics, corresponds to the material that the bowl-shape tableware of white that table is found matches using the tableware material at this time
Matter has ceramics and two kinds of plastics, more than one, then executes following steps S1224, no to then follow the steps S1223, by what is found
Material of the material as tableware to be cleaned.
S1223: using the material found as the material of tableware to be cleaned.
S1224: emit ultrasonic wave to tableware to be cleaned.
Wherein, ultrasonic unit can be installed in the dish-washing machine, it can be to corresponding tableware transmitting ultrasound to be cleaned
Wave, such as emit ultrasonic wave to the white bowl of a certain position.
S1225: the echo-signal of tableware reflection to be cleaned is received.
Wherein, it when the ultrasonic wave that ultrasonic unit is launched contacts tableware to be cleaned, is partially absorbed by tableware to be cleaned, portion
Branch is reflected back, which can also receive the reflected echo-signal of tableware to be cleaned.
S1226: the material to match with the echo-signal is searched, with the material of determination tableware to be cleaned.
Specifically, different to the degree of absorption of ultrasonic wave due to the tableware of unlike material, then echo-signal of its reflection
Can be variant, therefore the echo-signal by reflecting tableware to be cleaned is analyzed, it can it finds and the echo-signal
The material to match.Wherein, which can be previously stored with the corresponding echo-signal template of unlike material, will receive
To echo-signal be compared with echo-signal template, gap is minimum or the highest echo-signal template of similarity is corresponding
Material is the material to match with the echo-signal, to can accurately identify the material of tableware to be cleaned using ultrasonic technology
Matter helps to obtain better cleaning effect to match suitable cleaning model.
The application can use deep learning and nerual network technique establish identification when identifying the information of tableware to be cleaned
Model, to improve recognition accuracy.
Specifically as shown in figure 5, the application dish-washing machine intelligent control method 3rd embodiment is in the application dish-washing machine intelligence
On the basis of control method first embodiment, further limiting step S12 includes:
S123: the image of tableware to be cleaned is inputted in tableware information identification model, to identify the information of tableware to be cleaned.
In the present embodiment, step S11, it is real to can refer to the application dish-washing machine intelligent control method first for the implementation procedure of S13
Example is applied, is not repeated herein.
In step S123, tableware information identification model is stored in the figure based on depth convolutional neural networks in dish-washing machine
As identification model.Certainly, in other embodiments, which also can store on the server, dish-washing machine
By network attached server, the parameter information etc. of the tableware information identification model is obtained.
Specifically, which is the image recognition model being stored in advance in dish-washing machine, tableware letter
Breath identification model is the preparatory trained image recognition model based on depth convolutional neural networks.Directly by tableware to be cleaned
Image is input in the tableware information identification model, the tableware information identification model can automatic identification and export in image to
The information of tableware is cleaned, such as the information such as quantity, type, material, placement location for exporting tableware to be cleaned.
Wherein, which can also be learnt according to the image of the tableware identified every time, update it
Model parameter, to improve the identification accuracy of the model.For each family, tableware is relatively fixed, and dish-washing machine can be with root
According to historical identification data, thus it is speculated that the information for the tableware that can not be identified completely in image, to export the complete information of tableware to be cleaned,
Or material, quantity etc. using historical data auxiliary judgment tableware.
In other embodiments, user can while being put into tableware to be cleaned into dish-washing machine or later, to washing the dishes
The information for the tableware to be cleaned being put into is inputted in machine, so as to dish-washing machine supplement or the information of more newly identified tableware to be cleaned.
Specifically as shown in fig. 6, the application dish-washing machine intelligent control method fourth embodiment is in the application dish-washing machine intelligence
On the basis of control method first embodiment, after further limiting step S12, comprising:
S21: the first information of the tableware to be cleaned of user's input is obtained.
Wherein, which may include tableware type to be cleaned, quantity, placement location, the material etc. that user inputs
At least one of information.
Specifically, dish-washing machine (can such as be set to dish-washing machine by input equipment by interactive voice or reception user
On keyboard), or receive connect with dish-washing machine terminal device transmission information by way of obtain user input
The first information of tableware to be cleaned.Wherein, dish-washing machine can issue the user with voice after the information for recognizing tableware to be cleaned
Whether the information of to be cleaned tableware of the information to identify to user's confirmation is accurate, or can also be inputted with voice prompting user should
The first information, or when the information of the tableware to be cleaned identified is imperfect, such as the tableware to be cleaned of some position
When information can not identify, prompt is sent to prompt user to input the first information to user.
S22: the information of tableware to be cleaned is updated using the first information.
Specifically, when the information of the tableware to be cleaned obtained when the first information and identification is inconsistent, dish-washing machine can benefit
The information of the tableware to be cleaned is updated with the first information, so that the information of the tableware to be cleaned is more complete more acurrate, so as to
Subsequently selected cleaning model appropriate helps further to promote cleaning effect.
As shown in fig. 7, the 5th embodiment of the application dish-washing machine intelligent control method is in the application dish-washing machine intelligent control
On the basis of method first embodiment, further limiting step S13 includes:
S131: according to the placement location of tableware to be cleaned, adjust dish-washing machine water exit position and/or water discharging direction or
Selected section nozzle is sprayed water, to be oriented cleaning to tableware to be cleaned.
Specifically, in an application examples, as shown in figure 8, a bowl basket is provided in dish-washing machine 10, it, should for placing tableware
Dividing in bowl basket has tableware placement region (region A and B in such as Fig. 8), and discharging device C is set to a bowl basket bottom, wherein should go out
Water installations C can be spiral arm as shown in Figure 8 with multiple apopores, can be rotated, can also be fixed.When right
It when the image of tableware to be cleaned is handled, can identify to obtain the position of tableware to be cleaned in the picture, then utilize coordinate
Conversion, converts the relative position of the tableware to be cleaned in dish-washing machine for the position of tableware to be cleaned in the picture, i.e., should be to
Clean the placement location of tableware.Later, according to the placement location of tableware to be cleaned, the water outlet of adjustable dish-washing machine discharging device
Direction perhaps water exit position or adjusts water discharging direction and water exit position simultaneously, to be oriented cleaning to tableware to be cleaned.Example
In Fig. 8, the placement location of tableware to be cleaned is region A, and region B does not place tableware, at this time adjustable discharging device C
It is discharged, and is not discharged towards the apopore of region B, while can also be according to the tool of tableware to be cleaned towards the apopore of region A
Body position coordinate (in the left side of region A in such as Fig. 8) adjusts the water discharging direction of discharging device C, or adjustment discharging device C exists
It is rotated in some angular range, to be oriented cleaning while can save water.
In another application examples, dish washer interior can be set multiple nozzles, each nozzle can with independent control, or
Person can control portion nozzle and not be discharged, portion nozzle water outlet, can be direct after recognizing the placement location of tableware to be cleaned
The nozzle towards the placement location is selected to spray water, other nozzles are not sprayed water, to realize directional cleaning, improve cleaning effect
It can also save water simultaneously.
In the present embodiment, step S11, it is real to can refer to the application dish-washing machine intelligent control method first for the implementation procedure of S12
Example is applied, is not repeated herein.
As shown in figure 9, the application dish-washing machine intelligent control method sixth embodiment is in the application dish-washing machine intelligent control
On the basis of method first embodiment, further limiting step S13 includes:
S132: according to the quantity of tableware to be cleaned, scavenging period that the quantity of selection and tableware to be cleaned matches and/or
The nozzle quantity of water spray.
Wherein, the quantity of tableware to be cleaned is more, then matched scavenging period is longer, and the nozzle quantity of water spray is more, and
The quantity of tableware to be cleaned is fewer, then matched scavenging period is shorter, and the nozzle quantity of water spray is fewer.
Specifically, after the image for obtaining tableware to be cleaned, image is handled, such as image input is trained in advance
Tableware identification model in, it can obtain the tableware identification model output tableware to be cleaned information, when the meal to be cleaned
When the information of tool includes the quantity of tableware to be cleaned, it can select to match with the quantity according to the quantity of the tableware to be cleaned
Scavenging period or water spray nozzle quantity or combination.Wherein, it can be previously stored in dish-washing machine to be cleaned
The corresponding relation data of the nozzle quantity of the quantity and scavenging period and/or water spray of tableware, to obtain meal to be cleaned in identification
It is directly searched from the data of storage after the quantity of tool, it can obtain the nozzle of matched scavenging period and/or water spray
Quantity.
In the present embodiment, step S11, it is real to can refer to the application dish-washing machine intelligent control method first for the implementation procedure of S12
Example is applied, is not repeated herein.
As shown in Figure 10, the 7th embodiment of the application dish-washing machine intelligent control method is in the application dish-washing machine intelligent control
On the basis of method first embodiment, further limiting step S13 includes:
S133: the water temperature and/or dosage of scour to be matched according to the material of tableware to be cleaned, selection with the material, with
Rapid Cleaning tableware to be cleaned.
Specifically, for unlike material, cleaning difficulty may be different, such as the spot on stainless steel usually compares on ceramics
Both spot is more difficult to clean, can perhaps increase the dosage of detergent by promotion water temperature at this time or adjust simultaneously, so that dirty
Stain is faster cleaned out, and may also speed up cleaning speed while improving cleaning effect.Wherein, it can be stored in advance in dish-washing machine
There are the material of tableware to be cleaned and the corresponding relation data of water temperature and/or dosage of scour, to obtain meal to be cleaned in identification
It is directly searched from the data of storage after the material of tool, it can obtain matched water temperature and/or dosage of scour.
In the present embodiment, step S11, it is real to can refer to the application dish-washing machine intelligent control method first for the implementation procedure of S12
Example is applied, is not repeated herein.
As shown in figure 11, the 8th embodiment of the application dish-washing machine intelligent control method is in the application dish-washing machine intelligent control
On the basis of method first embodiment, further limiting step S13 includes:
S134: according to the degree of fouling of tableware to be cleaned, when selecting the bath dynamics to match with degree of fouling, cleaning
Between, water temperature, types of detergents and dosage of scour.
Wherein, the degree of fouling of tableware to be cleaned is numerical value predetermined, with the remaining dirt of tableware surface to be cleaned
Stain type, spot area, spot quantity are related to spot state.For example, the range of pre-defined degree of fouling is 0-10, number
0 indicates that degree of fouling is minimum, is easier to clean, and number 10 indicates degree of fouling highest, is most difficult to clean.When tableware surface to be cleaned
When remaining spot is more, area is bigger, spot type is grease, spot state is solidification, degree of fouling is higher.For example,
When the remaining spot of tableware surface to be cleaned is the grease of solidification, the remaining spot of degree of fouling specific surface is dish leaf
Degree of fouling is high.
Specifically, after the image for obtaining tableware to be cleaned, image can be handled, identifies that tableware surface to be cleaned is residual
At least one information in the type of the spot stayed, area, quantity and state, then finds corresponding dirty journey according to the information
Degree.Wherein, when identifying the degree of fouling of multiple tablewares to be cleaned, a dirty journey can be identified to each tableware to be cleaned
Degree, is then averaged or does other operations (being such as maximized), finally obtain the degree of fouling of tableware to be cleaned.It is later
Can select corresponding cleaning parameters according to the degree of fouling, including bath dynamics, scavenging period, water temperature, types of detergents and
At least one of dosage of scour.For example, can choose biggish when the degree of fouling that identification obtains tableware to be cleaned is 8
Bath dynamics, longer scavenging period, higher water temperature, more effective types of detergents (as high for chafing dish oil degree of fouling,
Can choose the detergent for more easily dissolving grease), at least one in more dosage of scour, so as to accelerate to clean
Speed, while cleaning effect can be promoted.
In the present embodiment, step S11, it is real to can refer to the application dish-washing machine intelligent control method first for the implementation procedure of S12
Example is applied, is not repeated herein.
In other embodiments, after user, which places, completes tableware to be cleaned, clear instruction may be directly given, this
When, the cleaning model and the clear instruction of the information matches of tableware to be cleaned that can be comprehensively considered and identify have provided more
Suitable cleaning model.
Specific as shown in figure 12, the 9th embodiment of the application dish-washing machine intelligent control method is in the application dish-washing machine intelligence
On the basis of control method first embodiment, further limiting step S13 includes:
S135: the first cleaning model with the information matches of the tableware to be cleaned identified is determined.
Wherein, the implementation procedure of step S135 can refer to the step of the application dish-washing machine intelligent control method first embodiment
The implementation procedure of rapid S13, is not repeated herein.
S136: the clear instruction of the dish-washing machine of user's input is obtained.
Wherein, which includes the second cleaning model or scavenging period.
Specifically, dish-washing machine (can such as be set to dish-washing machine by input equipment by interactive voice or reception user
On keyboard), or receive connect with dish-washing machine terminal device transmission information by way of obtain user input
Clear instruction.
S137: the parameter of the first cleaning model is adjusted using the second cleaning model or the scavenging period, and adjusts dish-washing machine
The first cleaning model after to adjusting parameter.
Specifically, after the clear instruction for obtaining user's input, if the clear instruction includes the second cleaning model, dish-washing machine
Second cleaning model can be compared with the first cleaning model, when the two difference, can use second cleaning
The parameter of mode adjusts the parameter of the first cleaning model, for example, the parameter of the two can be carried out to average computation or weighted flat
Impartial calculation, the first cleaning model after being adjusted.Preferably, be adjusted to parameter is using weighted average, meter
When calculation, be arranged the parameter of first cleaning model weight be greater than the second cleaning model parameter weight, to comprehensively consider
User demand is reduced simultaneously since user does not know about the influence that dish-washing machine operates and provides inappropriate clear instruction.Work as clear instruction
When including scavenging period, parameter tuning process can refer to and the above process, is not repeated herein.
In other embodiments, dish-washing machine can also obtain the dirty journey of cleaning process Chinese dinner service in real time in the process of cleaning
Degree accelerates cleaning speed to adjust cleaning model.
Specific as shown in figure 13, the tenth embodiment of the application dish-washing machine intelligent control method is in the application dish-washing machine intelligence
On the basis of control method first embodiment, after further limiting step S13, further comprise:
S14: the cleaning process image of tableware to be cleaned is obtained.
Specifically, dish-washing machine can use built-in camera, in real time or periodically acquire tableware to be cleaned
Cleaning process image, or directly shoot cleaning process video, to obtain cleaning process image.
S15: handling the cleaning process image, to identify the degree of fouling variation of tableware to be cleaned.
Specifically, which is handled, using image recognition algorithm or training can be directlyed adopt
Good image recognition model carries out identifying processing, to obtain the degree of fouling variation of tableware to be cleaned, i.e., tableware to be cleaned it is dirty
The relation data of dirty degree and scavenging period, such as the related table or relation curve of the two.
S16: judge whether degree of fouling variation meets expected cleaning effect.
Wherein, it is contemplated that cleaning effect is the corresponding expected degree of fouling table of pre-set scavenging period, or in advance
The relation curve of the scavenging period of setting and expected degree of fouling, or corresponded to for some or certain several scavenging periods
Expection degree of fouling variation range data, or directly be degree of fouling performance of expected change speed etc..Difference cleaning mould
Formula can correspond to different expection cleaning effects.
Specifically, in an application examples, which is pre-set scavenging period and expected dirty journey
The relation curve of degree.It is dirty to get the reality to tableware to be cleaned when identification obtains the degree of fouling variation of tableware to be cleaned
After the relation data of degree and scavenging period, it can be compared with the expection cleaning effect.For example, by current scavenging period
Corresponding practical degree of fouling is compared with expected degree of fouling, if the practical degree of fouling is higher than expected degree of fouling, or
Degree of fouling is high than expected for the practical degree of fouling of both persons, and when the gap of the two is more than permissible range, then determines that this is dirty
Degree variation does not meet expected cleaning effect, otherwise determines that degree of fouling variation meets expected cleaning effect.Alternatively, can be straight
Obtain the ratio (the actual change speed of degree of fouling) for taking practical degree of fouling and scavenging period and expected degree of fouling with
The ratio (the performance of expected change speed of degree of fouling) of scavenging period is compared, if actual change speed is than performance of expected change speed
Slowly or actual change speed be less than performance of expected change speed, and the gap of the two be more than permissible range when, then determine the dirty journey
Degree variation does not meet expected cleaning effect.
In the case where degree of fouling does not meet expected cleaning effect, expected cleaning is not met in response to degree of fouling variation
Effect executes step S17.
S17: selection increases at least one of bath dynamics, increase scavenging period, promotion water temperature, increasing dosage of scour and arranges
It applies, to accelerate dirty cleaning speed.
In the case where degree of fouling meets expected cleaning effect, meet expected cleaning effect in response to degree of fouling variation
Fruit executes step S18.
S18: it is still cleaned using current cleaning model.
Specifically, expected cleaning effect is not met in degree of fouling variation, i.e. the cleaning effect of the cleaning model is not met
It is expected that spot cleaning speed is excessively slow, in such cases, can choose the bath dynamics that increases, increase scavenging period, promoted water temperature,
The measure of at least one of dosage of scour is increased, to accelerate dirty cleaning speed.And meet expected cleaning effect in degree of fouling
In the case where, then it can still be cleaned using current cleaning model.Therefore, dish-washing machine can periodically monitor cleaning
The degree of fouling of process changes, and so as to adjust cleaning parameters in time when degree of fouling variation does not meet expected, accelerates clear
Speed is washed, cleaning effect is promoted.
Above-described embodiment of the application dish-washing machine intelligent control method can be mutually combined.
As shown in figure 14, in one embodiment of the application dish-washing machine, dish-washing machine 100 includes: processor 110 and and processor
The image acquiring device 120 of 110 connections.
Image acquiring device 120 can be general camera or three-dimensional camera, for obtaining meal to be cleaned in dish-washing machine 100
The image of tool.The quantity of the image acquiring device 120 is also possible to multiple, is shot by different angle, to obtain to clear
The complete image of wash up, in order to which processor 110 is identified.
Processor 110 can also be known as CPU (Central Processing Unit, central processing unit).Processor
110 may be a kind of IC chip, the processing capacity with signal.Processor 110 can also be general processor, number
Signal processor (DSP), specific integrated circuit (ASIC), ready-made programmable gate array (FPGA) or other programmable logic devices
Part, discrete gate or transistor logic, discrete hardware components.General processor can be microprocessor or the processor
It is also possible to any conventional processor etc..
Processor 110 is for executing program to realize such as any reality of the application dish-washing machine intelligent control method first to the tenth
Apply method provided by example or its combination not conflicted.
Optionally, dish-washing machine 100 further comprises: memory 130 is connect with processor 110, is used for storage processor
Program needed for 110 implementation procedures and data.
Optionally, dish-washing machine 100 further include: ultrasonic unit 140 is connect with processor 110, is used for tableware to be cleaned
Transmitting ultrasonic wave and the echo-signal for receiving tableware reflection to be cleaned, to identify the material of tableware to be cleaned.
Optionally, dish-washing machine 100 further include: human-computer interaction device 150 is connect with processor 110, defeated for receiving user
The information or instruction entered.
Wherein, which can be voice interaction device, is also possible to the input and output such as touch screen and sets
It is standby, it can also be the circuit etc. communicated with the subscriber terminal equipment that antenna circuit etc. is connect with dish-washing machine 100.
As shown in figure 15, the application has in one embodiment of device of store function, in the device 200 with store function
Portion is stored with the program instruction 210 that processor can be run, which is performed to realize such as the application dish-washing machine intelligence
Method provided by the first to the tenth any embodiment of control method or its combination not conflicted.
The device 200 with store function is specifically as follows USB flash disk, mobile hard disk, read-only memory (ROM, Read-
Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. can store
The medium of program instruction, or may be the server for being stored with the program instruction, which can refer to the program of storage
Order is sent to other equipment operation, or can also be with the program instruction of the self-operating storage.
In one embodiment, the device 200 with store function can also be memory as shown in figure 14.
In several embodiments provided herein, it should be understood that disclosed method and apparatus can pass through it
Its mode is realized.For example, device embodiments described above are only schematical, for example, stroke of module or unit
Point, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can
To combine or be desirably integrated into another system, or some features can be ignored or not executed.Another point, it is shown or beg for
The mutual coupling, direct-coupling or communication connection of opinion can be through some interfaces, the INDIRECT COUPLING of device or unit
Or communication connection, it can be electrical property, mechanical or other forms.
Unit may or may not be physically separated as illustrated by the separation member, shown as a unit
Component may or may not be physical unit, it can and it is in one place, or may be distributed over multiple networks
On unit.It can select some or all of unit therein according to the actual needs to realize the mesh of present embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
It, can if integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product
To be stored in a computer readable storage medium.Based on this understanding, the technical solution of the application substantially or
Say that all or part of the part that contributes to existing technology or the technical solution can embody in the form of software products
Out, which is stored in a storage medium, including some instructions are used so that a computer equipment
(can be personal computer, server or the network equipment etc.) or processor (processor) execute each implementation of the application
The all or part of the steps of methods.And storage medium above-mentioned include: USB flash disk, mobile hard disk, read-only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. it is various
It can store the medium of program code.
The foregoing is merely presently filed embodiments, are not intended to limit the scope of the patents of the application, all to utilize this
Equivalent structure or equivalent flow shift made by application specification and accompanying drawing content, it is relevant to be applied directly or indirectly in other
Technical field similarly includes in the scope of patent protection of the application.
Claims (17)
1. a kind of dish-washing machine intelligent control method characterized by comprising
Obtain the image of tableware to be cleaned in dish-washing machine；
Described image is handled, to identify the information of the tableware to be cleaned；
The determining cleaning model with the information matches of the tableware to be cleaned, and the dish-washing machine is adjusted to the cleaning model.
2. the method according to claim 1, wherein the information of the tableware to be cleaned includes: described to be cleaned
At least one in the type of tableware, quantity, placement location, material and degree of fouling.
3. according to the method described in claim 2, it is characterized in that, described handle described image, with identify it is described to
Cleaning tableware information include:
Described image is handled, the extrinsic parameter of the tableware to be cleaned is obtained, wherein the extrinsic parameter includes at least
The color and shape of the tableware to be cleaned；
It matches the extrinsic parameter of the tableware to be cleaned and then determines the material of the tableware to be cleaned.
4. according to the method described in claim 3, it is characterized in that, the extrinsic parameter of the matching tableware to be cleaned in turn
The material for determining the tableware to be cleaned includes:
The color and shape of the tableware to be cleaned is obtained from the extrinsic parameter, and searches the face with the tableware to be cleaned
The material that color and shape match；
Judge whether the material to match with the color and shape of the tableware to be cleaned found is more than one；
It is more than one in response to the material that matches with the color and shape of the tableware to be cleaned, it is sent out to the tableware to be cleaned
Penetrate ultrasonic wave；
Receive the echo-signal of the tableware reflection to be cleaned；
The material to match with the echo-signal is searched, with the material of the determination tableware to be cleaned.
5. the method according to claim 1, wherein described handle described image, with identify it is described to
Cleaning tableware information include:
Described image is inputted in tableware information identification model, to identify the information of the tableware to be cleaned；
Wherein, the tableware information identification model is the image recognition model based on depth convolutional neural networks.
6. the method according to claim 1, wherein described handle described image, with identify it is described to
It cleans after the information of tableware, comprising:
Obtain the first information of the tableware to be cleaned of user's input；
The information of the tableware to be cleaned is updated using the first information.
7. according to the method described in claim 2, it is characterized in that, the determination and the information matches of the tableware to be cleaned
Cleaning model, and adjust the dish-washing machine to the cleaning model and include:
According to the placement location of the tableware to be cleaned, water exit position and/or water discharging direction or the choosing of the dish-washing machine are adjusted
It selects portion nozzle to spray water, to be oriented cleaning to the tableware to be cleaned.
8. according to the method described in claim 2, it is characterized in that, the determination and the information matches of the tableware to be cleaned
Cleaning model, and adjust the dish-washing machine to the cleaning model and include:
According to the quantity of the tableware to be cleaned, scavenging period that the quantity of selection and the tableware to be cleaned matches and/or
The nozzle quantity of water spray.
9. according to the method described in claim 2, it is characterized in that, the determination and the information matches of the tableware to be cleaned
Cleaning model, and adjust the dish-washing machine to the cleaning model and include:
The water temperature and/or dosage of scour to be matched according to the material of the tableware to be cleaned, selection with the material, with quick
Clean the tableware to be cleaned.
10. according to the method described in claim 2, it is characterized in that, the information matches of the determination and the tableware to be cleaned
Cleaning model, and adjust the dish-washing machine to the cleaning model and include:
According to the degree of fouling of the tableware to be cleaned, bath dynamics that selection matches with the degree of fouling, scavenging period,
Water temperature, types of detergents and dosage of scour.
11. according to the method described in claim 2, it is characterized in that, the information matches of the determination and the tableware to be cleaned
Cleaning model, and adjust the dish-washing machine to the cleaning model and include:
First cleaning model of the information matches of the determination and the tableware to be cleaned；
The clear instruction of the dish-washing machine of user's input is obtained, when the clear instruction includes the second cleaning model or cleaning
Between；
The parameter of first cleaning model is adjusted using second cleaning model or the scavenging period, and is washed described in adjustment
First cleaning model after bowl machine to adjusting parameter.
12. according to the method described in claim 2, it is characterized in that, the information matches of the determination and the tableware to be cleaned
Cleaning model, and after adjusting the dish-washing machine to the cleaning model, further includes:
Obtain the cleaning process image of the tableware to be cleaned；
The cleaning process image is handled, to identify the degree of fouling variation of the tableware to be cleaned；
Judge whether the degree of fouling variation meets expected cleaning effect；
The expected cleaning effect is not met in response to degree of fouling variation, when selection increases bath dynamics, increases cleaning
Between, promote water temperature, increase the measure of at least one of dosage of scour, to accelerate dirty cleaning speed.
13. a kind of dish-washing machine characterized by comprising processor and the image acquiring device being connected to the processor；
Described image acquisition device is used to obtain the image of tableware to be cleaned in dish-washing machine；
The processor is for executing program to realize such as the described in any item methods of claim 1-12.
14. dish-washing machine according to claim 13, which is characterized in that further comprise: memory connects with the processor
It connects, for storing program and data needed for the processor implementation procedure.
15. dish-washing machine according to claim 13, which is characterized in that further comprise: ultrasonic unit, with the processing
Device connection, for the tableware to be cleaned transmitting ultrasonic wave and receiving the echo-signal that the tableware to be cleaned reflects, to know
The material of the not described tableware to be cleaned.
16. dish-washing machine according to claim 13, which is characterized in that further comprise: human-computer interaction device, with the place
Device connection is managed, for receiving the information or instruction of user's input.
17. a kind of device with store function, storage inside have program instruction, which is characterized in that described program instruction is held
Row is to realize such as the described in any item methods of claim 1-12.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811549014.3A CN109620078A (en) | 2018-12-18 | 2018-12-18 | Dish-washing machine intelligent control method, dish-washing machine and the device with store function |
| PCT/CN2019/123809 WO2020125458A1 (en) | 2018-12-18 | 2019-12-06 | Intelligent dishwasher control method, dishwasher, and apparatus having storage function |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811549014.3A CN109620078A (en) | 2018-12-18 | 2018-12-18 | Dish-washing machine intelligent control method, dish-washing machine and the device with store function |
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| Publication Number | Publication Date |
|---|---|
| CN109620078A true CN109620078A (en) | 2019-04-16 |
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|---|---|---|---|
| CN201811549014.3A Pending CN109620078A (en) | 2018-12-18 | 2018-12-18 | Dish-washing machine intelligent control method, dish-washing machine and the device with store function |
Country Status (2)
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| CN (1) | CN109620078A (en) |
| WO (1) | WO2020125458A1 (en) |
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