CN110367898A - A kind of the determination method and dish-washing machine of cleaning model - Google Patents
A kind of the determination method and dish-washing machine of cleaning model Download PDFInfo
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- CN110367898A CN110367898A CN201910703705.2A CN201910703705A CN110367898A CN 110367898 A CN110367898 A CN 110367898A CN 201910703705 A CN201910703705 A CN 201910703705A CN 110367898 A CN110367898 A CN 110367898A
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- turbidity
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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
- A47L15/0021—Regulation of operational steps within the washing processes, e.g. optimisation or improvement of operational steps depending from the detergent nature or from the condition of the crockery
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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
- A47L15/4297—Arrangements for detecting or measuring the condition of the washing water, e.g. turbidity
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Abstract
The present invention is suitable for intelligent appliance technical field, provides the determination method and dish-washing machine of a kind of cleaning model, comprising: if receiving cleaning enabled instruction, receives the turbidity parameter about tableware to be cleaned of association household electrical appliances feedback；The turbidity parameter is imported into preset turbidity grade transfer algorithm, calculates the corresponding turbidity grade of the tableware to be cleaned；Selection and the associated cleaning model of turbidity grade, and cleaning operation is executed to the tableware to be cleaned according to the cleaning model.The turbidity parameter that the present invention is fed back by receiving association household electrical appliances, choose cleaning model relevant to turbidity parameter, realize the automatic purpose for choosing cleaning model, it is obtained manually again without user, reduce user's operation, improve the convenience of dishwasher operation, additionally it is possible to improve the accuracy rate of cleaning model.
Description
Technical field
The invention belongs to intelligent appliance technical field more particularly to the determination methods and dish-washing machine of a kind of cleaning model.
Background technique
With intelligent and automation continuous development, dish-washing machine enters thousand as one of intelligent appliance gradually
Ten thousand families of family.Dish-washing machine can provide convenient and comfortable wash dishes experience for user, and user can be with needle in the process of cleaning
To different types of tableware to be cleaned, corresponding cleaning model is chosen.The determination method of existing cleaning model, mainly
By user's manual setting or the fixed cleaning model for executing default of system, can not be carried out according to the dirty degree of tableware to be cleaned
Adjust automatically reduces cleaning efficiency to increase the operating procedure of user.
Summary of the invention
In view of this, the embodiment of the invention provides the determination method and dish-washing machine of a kind of cleaning model, it is existing to solve
The determination method of cleaning model can not mainly by the fixed cleaning model for executing default of user's manual setting or system
It is automatically adjusted according to the dirty degree of tableware to be cleaned, to increase the operating procedure of user, reduces cleaning efficiency
The problem of.
The first aspect of the embodiment of the present invention provides a kind of determination method of cleaning model, comprising:
If receiving cleaning enabled instruction, the turbidity parameter about tableware to be cleaned of association household electrical appliances feedback is received；
The turbidity parameter is imported into preset turbidity grade transfer algorithm, it is corresponding turbid to calculate the tableware to be cleaned
Spend grade；
Selection and the associated cleaning model of turbidity grade, and the tableware to be cleaned is held according to the cleaning model
Row cleaning operation.
The second aspect of the embodiment of the present invention provides a kind of dish-washing machine, comprising:
Turbidity parameter acquiring unit, if for receiving cleaning enabled instruction, receive association household electrical appliances feedback about to
Clean the turbidity parameter of tableware；
Turbidity rating calculation unit is calculated for the turbidity parameter to be imported into preset turbidity grade transfer algorithm
The corresponding turbidity grade of the tableware to be cleaned；
Cleaning model determination unit, for selection and the associated cleaning model of turbidity grade, and according to the cleaning
Mode executes cleaning operation to the tableware to be cleaned.
The third aspect of the embodiment of the present invention provides a kind of dish-washing machine, including memory, processor and is stored in institute
The computer program that can be run in memory and on the processor is stated, the processor executes real when the computer program
Each step of existing first aspect.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, and each step of first aspect is realized when the computer program is executed by processor.
The determination method and dish-washing machine for implementing a kind of cleaning model provided in an embodiment of the present invention have the advantages that
The embodiment of the present invention, can be by feeding back before executing cleaning operation with other associated intelligent appliances of dish-washing machine
About the turbidity parameter of tableware to be cleaned, since tableware to be cleaned is after dish-washing machine taking-up, then it is placed into before dish-washing machine, it can be with
For holding food, the type for holding food has then determined the turbidity of tableware to be cleaned, thus can pass through other intelligent appliances
Feedback uses relevant information to tableware to be cleaned, and the information of above-mentioned feedback is identified as turbidity parameter, by joining to turbidity
Number calculates the turbidity grade of tableware to be cleaned, chooses the cleaning model to match with the turbidity grade, and be based on cleaning model
Cleaning operation is executed to tableware to be cleaned, the automatic purpose for choosing cleaning model is realized, is obtained manually again without user, reduced
User's operation, improves the convenience of dishwasher operation, additionally it is possible to improve the accuracy rate of cleaning model.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of implementation flow chart of the determination method for cleaning model that first embodiment of the invention provides；
Fig. 2 is a kind of determination method S101 specific implementation flow chart for cleaning model that second embodiment of the invention provides；
Fig. 3 is a kind of determination method S102 specific implementation flow chart for cleaning model that third embodiment of the invention provides；
Fig. 4 is a kind of determination method S101 specific implementation flow chart for cleaning model that fourth embodiment of the invention provides；
Fig. 5 is a kind of determination method S103 specific implementation flow chart for cleaning model that fifth embodiment of the invention provides；
Fig. 6 is a kind of structural block diagram for dish-washing machine that one embodiment of the invention provides；
Fig. 7 be another embodiment of the present invention provides a kind of dish-washing machine schematic diagram.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
The embodiment of the present invention, can be by feeding back before executing cleaning operation with other associated intelligent appliances of dish-washing machine
About the turbidity parameter of tableware to be cleaned, since tableware to be cleaned is after dish-washing machine taking-up, then it is placed into before dish-washing machine, it can be with
For holding food, the type for holding food has then determined the turbidity of tableware to be cleaned, thus can pass through other intelligent appliances
The relevant information in tableware use process to be cleaned is fed back, and the relevant information of above-mentioned feedback is identified as turbidity parameter, is led to
The turbidity grade for calculating turbidity parameter tableware to be cleaned is crossed, the cleaning model to match with the turbidity grade, and base are chosen
Cleaning operation is executed to tableware to be cleaned in cleaning model, the automatic purpose for choosing cleaning model is realized, solves existing
The determination method of cleaning model mainly passes through user's manual setting or the fixed cleaning model for executing default of system, Wu Fagen
It is automatically adjusted according to the dirty degree of tableware to be cleaned, to increase the operating procedure of user, reduces cleaning efficiency
Problem.
In embodiments of the present invention, the executing subject of process is dish-washing machine.The dish-washing machine has data processing module, passes through
The information that data processing module feeds back each sensor or data acquisition device is handled, and chooses cleaning model automatically,
The data processing module can be the microprocessors such as single-chip microcontroller.Fig. 1 shows the cleaning model of first embodiment of the invention offer
Determination method implementation flow chart, details are as follows:
In S101, if receiving cleaning enabled instruction, receive association household electrical appliances feedback about the turbid of tableware to be cleaned
Spend parameter.
In the present embodiment, dish-washing machine is configured with communication module, can be by other in communication module and current scene
Intelligent appliance, i.e., above-mentioned association household electrical appliances carry out data interaction.Specifically, which can be wireless communication module,
Wireless lan signal can be emitted by AP, dish-washing machine can pass through configured with wireless access point AP by being currently installed in scene
Built-in wireless communication module is linked into the wireless lan signal, thus with other intelligence for being linked into the WLAN
It can household electrical appliances progress data interaction.Certainly, dish-washing machine can be configured with wire communication module, and in this case, dish-washing machine can be with
It is connect by cable with the communication module of association household electrical appliances, to carry out data interaction by wire communication module.Based on this, wash the dishes
It may be constructed intelligent appliance system between machine and association household electrical appliances, it is collected to feed back itself between different intelligent appliances
Customer parameter is run to realize and automatically control each intelligent appliance.
In the present embodiment, user is when needing to clean tableware, can be by the control panel of dish-washing machine to washing
Bowl machine sends cleaning enabled instruction.Optionally, dish-washing machine is also provided with dish-washing machine trigger condition, such as detects storage
Tableware quantity is greater than preset starting threshold value, then cleaning enabled instruction is initiated, to trigger wash dishes process；Dish-washing machine can be with
The period is triggered configured with cleaning, current time reaches the above-mentioned cleaning triggering period if detecting, initiates cleaning enabled instruction, real
The purpose that now periodically the tableware of storage is cleaned.
In the present embodiment, relevant household electrical appliances list can be set in dish-washing machine, which includes at least one
A association household electrical appliances, dish-washing machine can send parameter feedback request to association household electrical appliances, be associated with house after receiving cleaning enabled instruction
Electricity is after receiving parameter feedback request, by the turbidity parameter feedback about tableware to be cleaned collected to dish-washing machine.
Optionally, in the present embodiment, association household electrical appliances can be the intelligent pendent lamp for being installed on dining table region, the intelligence pendent lamp
The ambient image and is fed back to dish-washing machine in the ambient image of dining process by available user, which can be to each
The food that a tableware to be cleaned is held is identified, and obtains turbidity parameter based on the food that identification obtains.Specifically, it is based on
Hold food and determine that the mode of turbidity parameter can be with are as follows: intelligent pendent lamp can according to the profile information of subject each in image,
Identify food type, and after user has dinner, the food shot on each tableware to be cleaned remains degree, based on food
Species type and food remain degree, obtain turbidity parameter.
Optionally, in the present embodiment, the number for being associated with household electrical appliances can be to be multiple, and in this case, dish-washing machine can lead to
Cross broadcast mode to multiple association household electrical appliances transmission parameter acquisition instruction, each association household electrical appliances after receiving the broadcasting instructions,
Local collected turbidity parameter feedback can be carried into the device identification of relevant household electrical appliances to dish-washing machine, and in turbidity parameter,
So that dish-washing machine can matched analytical algorithm parses turbidity parameter by being associated with the device type of household electrical appliances with this.
In S102, the turbidity parameter is imported into preset turbidity grade transfer algorithm, calculates the meal to be cleaned
Has corresponding turbidity grade.
In the present embodiment, dish-washing machine needs convert the turbidity parameter received, and obtaining dish-washing machine can be direct
The turbidity grade used.Based on this, turbidity parameter is imported into preset turbidity grade transfer algorithm, to count counted to clear
The corresponding turbidity grade of wash up.
Optionally, in the present embodiment, the corresponding turbidity grade transfer algorithm of different types of association household electrical appliances can be different,
In this case, dish-washing machine can identify the device type of association household electrical appliances, and extract from database and be associated with the device type
Turbidity grade transfer algorithm, and the turbidity parameter that will acquire is imported into the turbidity grade transfer algorithm, is counted counted
Turbidity grade.
Optionally, in the present embodiment, if send turbidity parameter association household electrical appliances number be it is multiple, in this case,
Dish-washing machine can extract respectively with each matched turbidity grade transfer algorithm of association household electrical appliances, calculate separately each turbidity parameter pair
The turbidity grade answered obtains the corresponding turbidity grade of parameter to be cleaned based on the multiple turbidity grades being calculated, such as calculates
The mean value of turbidity grade, or according to the weighting weight of each association household electrical appliances, it is weighted summation, and weighted accumulation will be calculated
Value is identified as the corresponding turbidity grade of tableware to be cleaned.
In S103, choose with the associated cleaning model of turbidity grade, and according to the cleaning model to it is described to
It cleans tableware and executes cleaning operation.
In the present embodiment, dish-washing machine is provided with the mapping table of turbidity grade and cleaning model, be calculated to
After cleaning the corresponding turbidity grade of tableware, the mapping table can be inquired, the cleaning model executed needed for determining.
In the present embodiment, which includes cleaning process, such as cleaning script, includes multiple cleaning links
And the trigger order of each cleaning link.Dish-washing machine can successively execute each cleaning link according to the cleaning process, thus
Realize the purpose cleaned to tableware to be cleaned.Optionally, which can also include to need to be implemented cleaning process
Cyclic order, and in washing process the detergent of required addition dose value.
Above as can be seen that a kind of determination method of cleaning model provided in an embodiment of the present invention execute cleaning operation it
Before, it can be by feeding back the turbidity parameter about tableware to be cleaned with other associated intelligent appliances of dish-washing machine, due to be cleaned
Tableware is after dish-washing machine taking-up, then is placed into before dish-washing machine, can be used to hold food, the type for holding food has then determined
The turbidity of tableware to be cleaned, thus can be fed back by other intelligent appliances and use relevant information to tableware to be cleaned, and will
The information of above-mentioned feedback is identified as turbidity parameter, by calculating turbidity parameter the turbidity grade of tableware to be cleaned, selection and institute
The cleaning model that turbidity grade matches is stated, and cleaning operation is executed to tableware to be cleaned based on cleaning model, is realized automatic
The purpose for choosing cleaning model, obtains manually again without user, reduces user's operation, improve the convenient of dishwasher operation
Property, additionally it is possible to improve the accuracy rate of cleaning model.
Fig. 2 shows the specific implementation streams of the determination method S101 of cleaning model of second embodiment of the invention offer a kind of
Cheng Tu.Referring to fig. 2, relative to embodiment described in Fig. 1, a kind of determination method S101 packet of cleaning model provided in this embodiment
Include: S1011~S1013, specific details are as follows:
Further, the association household electrical appliances include intelligent range hood, if then described receive cleaning enabled instruction, are received
It is associated with the turbidity parameter about tableware to be cleaned of household electrical appliances feedback, comprising:
In S1011, if detecting, the intelligent range hood is opened, and is sent initial parameter to the intelligent range hood and is obtained
Instruction fetch, so that intelligent range hood record receives the initial of the swab case built in the initial parameter acquisition instruction moment
Oil smoke value, and receive the initial time value at the initial parameter acquisition instruction moment.
In the present embodiment, the association household electrical appliances of dish-washing machine include intelligent range hood, which passes through communication interface
There is communication link with dish-washing machine foundation, and data interaction is carried out by the communication link and dish-washing machine.Intelligent range hood is turned on
Afterwards, then it represents that there are food needs to be boiled, the food after boiling needs to be held by tableware, boils so as to basis
The oil smoke variable quantity of journey estimates the turbidity parameter of tableware.
Optionally, in the present embodiment, outer except through detection intelligent range hood unlatching, it can also be by detecting whether out
Open, to determine whether need to set out S1011 the step of.Dish-washing machine can detecte whether cabinet door opens, such as cabinet door is provided with biography
Sensor generates trigger signal by the influence value of sensor feedback or when cabinet door is opened, so that dish-washing machine can detecte cabinet
Door open and-shut mode.If detecting, the intelligent range hood is opened, then it represents that the tableware being stored in dish-washing machine is taken out easily by the user, and is used
Family can hold food by the tableware of taking-up.And the food is needed by boiling, and the process of boiling can generate oil smoke, therefore
Oil smoke amount and the quantity of food and to be placed on remaining dirt degree on tableware related, therefore can pass through and receive kitchen ventilator feedback
Operating parameter, determine the turbidity parameter of tableware to be cleaned.
In the present embodiment, the sensor for counting oil smoke amount can be set in the swab case of intelligent range hood, such as
It is provided with magnetic float in oil smoke box, by detecting the height of magnetic float, determines the oil smoke amount in oil smoke box；Or intelligence
Energy kitchen ventilator is provided with photographing module, can obtain the reached scale value of oil smoke stored in swab case by photographing module, know
Oil smoke amount in not fuel-displaced cigarette case.Based on this, intelligent range hood, can be by above-mentioned after receiving initial parameter acquisition instruction
Acquisition mode records the initial oil smoke value in swab case, and receives the initial time value at initial parameter acquisition instruction moment,
The starting duration of intelligent range hood can be determined by recording time information.
In S1012, if receiving cleaning enabled instruction, parameter feedback instruction is sent to the intelligent range hood, with
The intelligent range hood is set to obtain the current oil smoke value for receiving swab case described in the parameter feedback instruction moment, and according to first
Difference between beginning oil smoke value and current oil smoke value, obtains oil smoke variable quantity, and about from the initial time value to connecing
Receive the gear change curve of intelligent range hood described in the parameter feedback instruction moment.
In the present embodiment, after use, user can be placed into dish-washing machine tableware, and pass through touch surface
The modes such as plate send a cleaning enabled instruction to dish-washing machine, at this point, dish-washing machine can be sent out by communication link to intelligent range hood
A parameter feedback instruction is sent, in intelligent range hood after receiving parameter feedback instruction, then records the moment swab case
Current oil smoke value indicates that all operations of boiling have been completed, and according to the difference between initial oil smoke value and current oil smoke value,
The oil smoke variable quantity for the process that entirely boils is calculated.
On the other hand, intelligent range hood also will record the temporal information for receiving the parameter feedback instruction moment, according to initial
Time value and above-mentioned temporal information determine the intelligent oil smoke in the operation duration and the operation duration of intelligent range hood
The gear change situation of machine.
It is emphasized that since intelligent range hood has repeatedly starting and shutoff operation during boiling, because
This is for the oil smoke variable quantity generated in the process that accurately entirely boils, just intelligent range hood will record initially when starting for the first time
Oil smoke value, and before receiving cleaning enabled instruction, be not repeated to record the initial oil smoke value of each start-up operation, thus
It is able to record the oil smoke amount generated during entirely boiling.
In S1013, the oil smoke variable quantity and the gear change curve that the intelligent range hood is sent are received,
And be packaged the oil smoke variable quantity and the gear change curve, obtain the turbidity parameter.
In the present embodiment, if the oil smoke variable quantity is bigger, the dirty degree of tableware to be cleaned is higher；Similarly,
It is higher using power if the gear of the intelligent range hood is higher, so that the oil smoke amount extracted is higher, thus tableware to be cleaned
Dirty degree it is higher, therefore above-mentioned two type parameter is packaged, and feed back to dish-washing machine, as turbidity parameter.
In embodiments of the present invention, by receiving the oil smoke variable quantity and gear change curve of intelligent range hood record,
Using above-mentioned two parameter as turbidity parameter, to realize that dish-washing machine obtains the purpose of turbidity parameter from association household electrical appliances, improve
The accuracy of turbidity parameter.
Fig. 3 shows the specific implementation stream of the determination method S102 of cleaning model of third embodiment of the invention offer a kind of
Cheng Tu.Referring to Fig. 3, relative to Fig. 2 the embodiment described, a kind of determination method S102 packet of cleaning model provided in this embodiment
Include: S1021~S1024, specific details are as follows:
Further, described that the turbidity parameter is imported into preset turbidity grade transfer algorithm, it calculates described to clear
The corresponding turbidity grade of wash up, comprising:
In S1021, the oil smoke variable quantity is imported into preset turbidity hash function, calculates the first turbidity factor.
In the present embodiment, dish-washing machine is provided with turbidity hash function, and the turbidity hash function is for determining different oil smoke
Corresponding relationship between variable quantity and turbidity factor imported into the turbidity Hash by the oil smoke variable quantity for collecting this
Function can calculate the corresponding cryptographic Hash of oil smoke variable quantity, and the cryptographic Hash is identified as the first turbidity factor.
In S1022, the time domain of the gear change curve is integrated, obtains the time domain of the gear change curve
Variable quantity, and the time domain variable quantity is identified as the second turbidity factor.
In the present embodiment, reference axis corresponding to gear change curve is specially using gear as the longitudinal axis, is cross with the time
Axis, dish-washing machine can integrate time domain, change so as to which gear change curve is calculated relative to the time domain of time domain
Amount, if the numerical value of the time domain variable quantity is bigger, then it represents that the energy consumption of intelligent range hood is more, then the corresponding oil smoke amount extracted is got over
Greatly, the dirty degree reacted on tableware is higher, therefore the time domain variable quantity can be identified as the second turbidity factor.
In S1023, the tableware number of the tableware to be cleaned is obtained, and number obtains third turbidity based on the parameter
The factor.
In the present embodiment, if the tableware number of tableware to be cleaned is more, the size of food held needed for each tableware
It is more, so that the dirty degree of each tableware is higher.Based on this, dish-washing machine can be turned by the tableware number of tableware to be cleaned
Get the third turbidity factor for calculating turbidity grade in return.Dish-washing machine can recorde tableware number and third turbidity factor
Third turbidity factor can be then calculated by importing the tableware numerical value transfer function in transfer function.
In S1024, first turbidity factor, second turbidity factor and the third turbidity factor are imported
The turbidity grade transfer function calculates the turbidity grade；The turbidity grade transfer function specifically:
Wherein, TurbidityLv is the turbidity grade；Turbidity1For first turbidity factor, Turbidity2
For second turbidity factor；Turbidity3For the third turbidity factor；Lampblack is the oil smoke variable quantity；
TurbiditystdFor benchmark turbidity value；α, β and γ are predetermined coefficient.
In the present embodiment, the first turbidity factor, the second turbidity factor and third turbidity factor will be calculated to import
To the turbidity grade transfer function, the corresponding turbidity grade of the tableware to be cleaned can be calculated.Specifically, α, β and γ can
To choose corresponding numerical value according to different cleaning models.
In embodiments of the present invention, by oil smoke amount, smoke exhaust ventilator energy consumption and the aspect of tableware number three, estimate to
The turbidity grade of tableware is cleaned, so as to improve the accuracy rate of turbidity grade.
Fig. 4 shows a kind of S101 specific implementation stream of the determination method of cleaning model of fourth embodiment of the invention offer
Cheng Tu.Referring to fig. 4, relative to embodiment described in 1-3, a kind of determination method S101 packet of cleaning model provided in this embodiment
Include: S1014~S1016, specific details are as follows:
Further, the association household electrical appliances include intelligent refrigerator, if described receive cleaning enabled instruction, receive association
The turbidity parameter about tableware to be cleaned of household electrical appliances feedback, comprising:
In S1014, receives the intelligent refrigerator and send about the food materials image for having taken out food materials.
In the present embodiment, the association household electrical appliances of dish-washing machine include intelligent refrigerator, and user takes out food out of intelligent refrigerator
Afterwards, need to hold food using tableware, therefore can be by the case where taking-up food, determining the turbid of tableware to be cleaned out of refrigerator
Spend parameter.Based on this, when detecting that user triggers food taking-up operation, the available food image for taking out the food moment.
Specifically, intelligent refrigerator then starts photographing module acquisition and is removed the food materials image of food materials when detecting that cabinet door is opened, and deposits
It is stored in register, after receiving the parameter acquisition instruction of dish-washing machine transmission, then all food materials images that will acquire are sent out
Give dish-washing machine.
In S1015, the food materials image is parsed, determines the food materials type for having taken out food materials.
In the present embodiment, dish-washing machine can determine the profile information for including in food materials image by outline identification algorithm,
And the pixel value of the pixel according to the chamfered shape and encirclement of each contour line, it can determine the food materials type of the food materials.
In S1016, turbidity parameter is generated according to all food materials types.
In the present embodiment, the corresponding primary cloudy angle value of different food materials types is different, each has taken out food materials having determined
Food materials type primary cloudy angle value after, primary cloudy angle value can be overlapped, obtain having taken out the turbid of food materials about all
Spend parameter.
In embodiments of the present invention, it is fed back by intelligent appliance about the turbidity parameter for having taken out food materials, it can be based on food
Material type remains in the dirty degree on tableware after determining the held food of tableware to be cleaned, to realize by being associated with house
Electricity obtains the purpose of turbidity tableware.
Fig. 5 shows the specific implementation stream of the determination method S103 of cleaning model of fifth embodiment of the invention offer a kind of
Cheng Tu.Referring to Fig. 5, relative to embodiment described in Fig. 1-3, a kind of determination method S103 packet of cleaning model provided in this embodiment
Include: S1031~S1032, specific details are as follows:
Further, the selection and the associated cleaning model of turbidity grade, and according to the cleaning model to institute
It states tableware to be cleaned and executes cleaning operation, including
In S501, it is based on the turbidity grade, determines washing times and cleaning dosage.
In the present embodiment, dish-washing machine can be determined in cleaning model after obtaining turbidity grade based on turbidity grade
Operating parameter, the operating parameter of the cleaning model include washing times and cleaning dosage.Specifically, if turbidity grade is got over
Height, then washing times are more, and corresponding cleaning dosage is bigger；Conversely, washing times are got over if the turbidity lower grade
It is few, and corresponding cleaning dosage is fewer.Dish-washing machine can recorde between turbidity grade and washing times and cleaning dosage
Corresponding relationship.
In S502, according to the washing times and the cleaning dosage, generate and the associated institute of the turbidity grade
State cleaning model.
In the present embodiment, determining washing times and cleaning dosage can be encapsulated into cleaning model by dish-washing machine
In, to generate the cleaning model to match with turbidity grade.
In embodiments of the present invention, by the operating parameter in turbidity level adjustment cleaning model, so that cleaning mould
Formula is related to the dirty degree of tableware to be cleaned, improves cleaning efficiency.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Fig. 6 shows a kind of structural block diagram of dish-washing machine of one embodiment of the invention offer, each list which includes
Member is for executing each step in the corresponding embodiment of Fig. 1.It is related in embodiment corresponding to Fig. 1 referring specifically to Fig. 1
Description.For ease of description, only the parts related to this embodiment are shown.
Referring to Fig. 6, the dish-washing machine includes:
Turbidity parameter acquiring unit 61, if for receiving cleaning enabled instruction, receive association household electrical appliances feedback about
The turbidity parameter of tableware to be cleaned；
Turbidity rating calculation unit 62 is counted for the turbidity parameter to be imported into preset turbidity grade transfer algorithm
Calculate the corresponding turbidity grade of the tableware to be cleaned；
Cleaning model determination unit 63, for selection and the associated cleaning model of turbidity grade, and according to described clear
Mold cleaning formula executes cleaning operation to the tableware to be cleaned.
Optionally, the association household electrical appliances include intelligent range hood, and the turbidity parameter acquiring unit 61 includes:
Initial parameter recording unit, if being sent out for detecting that the intelligent range hood is opened to the intelligent range hood
Initial parameter acquisition instruction is sent, so that intelligent range hood record received built in the initial parameter acquisition instruction moment
The initial oil smoke value of swab case, and receive the initial time value at the initial parameter acquisition instruction moment；
Parameter changes recognition unit, if sending parameter to the intelligent range hood for receiving cleaning enabled instruction
Feedback command, so that the intelligent range hood obtains the current oil smoke for receiving swab case described in the parameter feedback instruction moment
Value, and according to the difference between initial oil smoke value and current oil smoke value, obtains oil smoke variable quantity, and about from described initial
Time value instructs the gear change curve of intelligent range hood described in the moment to the parameter feedback is received；
Turbidity parameter encapsulation unit, the oil smoke variable quantity and the shelves sent for receiving the intelligent range hood
Position change curve, and the oil smoke variable quantity and the gear change curve are packaged, obtain the turbidity parameter.
Optionally, the turbidity rating calculation unit 62, comprising:
First turbidity factor acquiring unit is counted for the oil smoke variable quantity to be imported into preset turbidity hash function
Calculate the first turbidity factor；
Second turbidity factor acquiring unit integrates for the time domain to the gear change curve, obtains the shelves
The time domain variable quantity of position change curve, and the time domain variable quantity is identified as the second turbidity factor；
Third turbidity factor acquiring unit, for obtaining the tableware number of the tableware to be cleaned, and based on the parameter
Number obtains third turbidity factor；
Turbidity factor converting unit is used for first turbidity factor, second turbidity factor and the third
Turbidity factor imports the turbidity grade transfer function, calculates the turbidity grade；The turbidity grade transfer function specifically:
Wherein, TurbidityLv is the turbidity grade；Turbidity1For first turbidity factor, Turbidity2
For second turbidity factor；Turbidity3For the third turbidity factor；Lampblack is the oil smoke variable quantity；
TurbiditystdFor benchmark turbidity value；α, β and γ are predetermined coefficient.
Optionally, the association household electrical appliances include intelligent refrigerator, and the turbidity parameter acquiring unit 61 includes:
Food materials image receiving unit is sent for receiving the intelligent refrigerator about the food materials image for having taken out food materials；
Food materials type identification unit determines the food materials for having taken out food materials for parsing to the food materials image
Type；
Turbidity parameter generating unit, for generating turbidity parameter according to all food materials types.
Optionally, the cleaning model determination unit 63 includes:
Washing parameter determination unit determines washing times and cleaning dosage for being based on the turbidity grade；
Cleaning model creating unit, for generating and the turbidity according to the washing times and the cleaning dosage
The associated cleaning model of grade.
Therefore, dish-washing machine provided in an embodiment of the present invention again may be by other intelligent appliances feedback and tableware to be cleaned
It is identified as turbidity parameter using relevant information, and by the information of above-mentioned feedback, by calculating tableware to be cleaned to turbidity parameter
Turbidity grade, choose the cleaning model to match with the turbidity grade, and execute to tableware to be cleaned based on cleaning model
Cleaning operation realizes the automatic purpose for choosing cleaning model, is obtained manually again without user, reduce user's operation, improves
The convenience of dishwasher operation, additionally it is possible to improve the accuracy rate of cleaning model.
Fig. 7 be another embodiment of the present invention provides a kind of dish-washing machine schematic diagram.As shown in fig. 7, the embodiment is washed
Bowl machine 7 includes: processor 70, memory 71 and is stored in the memory 71 and can run on the processor 70
Computer program 72, such as the determination program of cleaning model.The processor 70 is realized when executing the computer program 72
State the step in the determination embodiment of the method for each cleaning model, such as S101 shown in FIG. 1 to S103.Alternatively, the processing
Device 70 realizes the function of each unit in above-mentioned each Installation practice, such as module shown in Fig. 6 when executing the computer program 72
61 to 63 functions.
Illustratively, the computer program 72 can be divided into one or more units, one or more of
Unit is stored in the memory 71, and is executed by the processor 70, to complete the present invention.One or more of lists
Member can be the series of computation machine program instruction section that can complete specific function, and the instruction segment is for describing the computer journey
Implementation procedure of the sequence 72 in the dish-washing machine 7.For example, the computer program 72, which can be divided into turbidity parameter, obtains list
Member, turbidity rating calculation unit and cleaning model determination unit, each unit concrete function are as described above.
The dish-washing machine may include, but be not limited only to, processor 70, memory 71.It will be understood by those skilled in the art that
Fig. 7 is only the example of dish-washing machine 7, does not constitute the restriction to dish-washing machine 7, may include than illustrating more or fewer portions
Part perhaps combines certain components or different components, such as the dish-washing machine can also include input-output equipment, network
Access device, bus etc..
Alleged processor 70 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 71 can be the internal storage unit of the dish-washing machine 7, such as the hard disk or memory of dish-washing machine 7.
The memory 71 is also possible to the External memory equipment of the dish-washing machine 7, such as the plug-in type being equipped on the dish-washing machine 7 is hard
Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card) etc..Further, the memory 71 can also both include the internal storage unit of the dish-washing machine 7 or wrap
Include External memory equipment.The memory 71 is for other programs needed for storing the computer program and the dish-washing machine
And data.The memory 71 can be also used for temporarily storing the data that has exported or will export.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into 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.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of determination method of cleaning model characterized by comprising
If receiving cleaning enabled instruction, the turbidity parameter about tableware to be cleaned of association household electrical appliances feedback is received；
The turbidity parameter is imported into preset turbidity grade transfer algorithm, calculates corresponding turbidity of the tableware to be cleaned etc.
Grade；
Selection and the associated cleaning model of turbidity grade, and the tableware to be cleaned is executed clearly according to the cleaning model
Wash operation.
2. determining method according to claim 1, which is characterized in that the association household electrical appliances include intelligent range hood, then institute
Cleaning enabled instruction is received if stating, receives the turbidity parameter about tableware to be cleaned of association household electrical appliances feedback, comprising:
If detecting, the intelligent range hood is opened, and initial parameter acquisition instruction is sent to the intelligent range hood, so that institute
State the initial oil smoke value that intelligent range hood record receives the swab case built in the initial parameter acquisition instruction moment, Yi Jijie
Receive the initial time value at the initial parameter acquisition instruction moment；
If receiving cleaning enabled instruction, parameter feedback instruction is sent to the intelligent range hood, so that the intelligence oil smoke
Machine obtains the current oil smoke value for receiving swab case described in the parameter feedback instruction moment, and according to initial oil smoke value and works as
Difference between preceding oil smoke value obtains oil smoke variable quantity, and about anti-from the initial time value to the parameter is received
The gear change curve of intelligent range hood described in the feedback instruction moment；
The oil smoke variable quantity and the gear change curve that the intelligent range hood is sent are received, and the oil smoke is become
Change amount and the gear change curve are packaged, and obtain the turbidity parameter.
3. determining method according to claim 2, which is characterized in that it is described the turbidity parameter is imported into it is preset turbid
Grade transfer algorithm is spent, the corresponding turbidity grade of the tableware to be cleaned is calculated, comprising:
The oil smoke variable quantity is imported into preset turbidity hash function, calculates the first turbidity factor；
The time domain of the gear change curve is integrated, obtains the time domain variable quantity of the gear change curve, and by institute
It states time domain variable quantity and is identified as the second turbidity factor；
The tableware number of the tableware to be cleaned is obtained, and number obtains third turbidity factor based on the parameter；
First turbidity factor, second turbidity factor and the third turbidity factor are imported the turbidity grade to turn
Exchange the letters number calculates the turbidity grade；The turbidity grade transfer function specifically:
Wherein, TurbidityLv is the turbidity grade；Turbidity1For first turbidity factor, Turbidity2For institute
State the second turbidity factor；Turbidity3For the third turbidity factor；Lampblack is the oil smoke variable quantity；
TurbiditystdFor benchmark turbidity value；α, β and γ are predetermined coefficient.
4. determining method according to claim 1, which is characterized in that the association household electrical appliances include intelligent refrigerator, if described
Cleaning enabled instruction is received, then receives the turbidity parameter about tableware to be cleaned of association household electrical appliances feedback, comprising:
The intelligent refrigerator is received to send about the food materials image for having taken out food materials；
The food materials image is parsed, determines the food materials type for having taken out food materials；
Turbidity parameter is generated according to all food materials types.
5. determining method according to claim 1-4, which is characterized in that the selection is closed with the turbidity grade
The cleaning model of connection, and cleaning operation is executed to the tableware to be cleaned according to the cleaning model, comprising:
Based on the turbidity grade, washing times and cleaning dosage are determined；
According to the washing times and the cleaning dosage, generate and the associated cleaning model of the turbidity grade.
6. a kind of dish-washing machine characterized by comprising
Turbidity parameter acquiring unit, if for receiving cleaning enabled instruction, receive association household electrical appliances feedback about to be cleaned
The turbidity parameter of tableware；
Turbidity rating calculation unit, for the turbidity parameter to be imported into preset turbidity grade transfer algorithm, described in calculating
The corresponding turbidity grade of tableware to be cleaned；
Cleaning model determination unit, for selection and the associated cleaning model of turbidity grade, and according to the cleaning model
Cleaning operation is executed to the tableware to be cleaned.
7. dish-washing machine according to claim 6, which is characterized in that the association household electrical appliances include intelligent range hood, described turbid
Spending parameter acquiring unit includes:
Initial parameter recording unit, if being sent just for detecting that the intelligent range hood is opened to the intelligent range hood
Beginning parameter acquisition instruction, so that intelligent range hood record receives and connects oil built in the initial parameter acquisition instruction moment
The initial oil smoke value of box, and receive the initial time value at the initial parameter acquisition instruction moment；
Parameter changes recognition unit, if sending parameter feedback to the intelligent range hood for receiving cleaning enabled instruction
Instruction, so that the intelligent range hood obtains the current oil smoke value for receiving swab case described in the parameter feedback instruction moment,
And according to the difference between initial oil smoke value and current oil smoke value, obtain oil smoke variable quantity, and about from it is described initial when
Between be worth to the gear change curve for receiving intelligent range hood described in the parameter feedback instruction moment；
Turbidity parameter encapsulation unit, for receiving the oil smoke variable quantity and gear change that the intelligent range hood is sent
Change curve, and the oil smoke variable quantity and the gear change curve are packaged, obtains the turbidity parameter.
8. dish-washing machine according to claim 7, which is characterized in that the turbidity rating calculation unit, comprising:
First turbidity factor acquiring unit calculates for the oil smoke variable quantity to be imported into preset turbidity hash function
One turbidity factor；
Second turbidity factor acquiring unit is integrated for the time domain to the gear change curve, is obtained the gear and is become
Change the time domain variable quantity of curve, and the time domain variable quantity is identified as the second turbidity factor；
Third turbidity factor acquiring unit, for obtaining the tableware number of the tableware to be cleaned, and number based on the parameter
Obtain third turbidity factor；
Turbidity factor converting unit is used for first turbidity factor, second turbidity factor and the third turbidity
The factor imports the turbidity grade transfer function, calculates the turbidity grade；The turbidity grade transfer function specifically:
Wherein, TurbidityLv is the turbidity grade；Turbidity1For first turbidity factor, Turbidity2For institute
State the second turbidity factor；Turbidity3For the third turbidity factor；Lampblack is the oil smoke variable quantity；
TurbiditystdFor benchmark turbidity value；α, β and γ are predetermined coefficient.
9. a kind of dish-washing machine, which is characterized in that the dish-washing machine includes memory, processor and stores in the memory
And the computer program that can be run on the processor, the processor are when executing the computer program such as claim 1
The step of to any one of 5 the method.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of any one of such as claim 1 to 5 of realization the method.
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| US11889963B2 (en) | 2020-05-29 | 2024-02-06 | Ecolab Usa Inc. | Automated cleaning machine processing using shortened cycle times |
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| CN113359518A (en) * | 2021-04-29 | 2021-09-07 | 青岛海尔科技有限公司 | Reminding method and device for household appliance cleaning and intelligent household appliance |
| CN113598672B (en) * | 2021-07-07 | 2023-05-05 | 佛山市百斯特电器科技有限公司 | Dosage control method and dosage control device for cleaning agent and washing equipment |
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