CN107563124A - Method for pushing, device and system, storage medium and the processor of menu data - Google Patents
Method for pushing, device and system, storage medium and the processor of menu data Download PDFInfo
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- CN107563124A CN107563124A CN201710906386.6A CN201710906386A CN107563124A CN 107563124 A CN107563124 A CN 107563124A CN 201710906386 A CN201710906386 A CN 201710906386A CN 107563124 A CN107563124 A CN 107563124A
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Abstract
The invention discloses a kind of method for pushing of menu data, device and system, storage medium and processor.Wherein, this method includes：The image information of destination object, the physical characteristic information of destination object, and the preference information of destination object are obtained, wherein, preference information is used for the culinary art taste for characterizing destination object；Image information, physical characteristic information and preference information are analyzed using the first model, obtain the menu data matched with destination object, wherein, model be using multigroup first data by machine learning train come, every group of first data include：Image information, physical characteristic information and the preference information of destination object and the menu data of matching；Push menu data.The present invention solves cooking apparatus in the prior art and pushes health, the technical problem of differentiation menu data without normal direction user.
Description
Technical field
The present invention relates to household appliance technical field, in particular to a kind of method for pushing of menu data, device and is
System, storage medium and processor.
Background technology
As the improvement of people's living standards, user is no longer satisfied with being cooked by cooking apparatus, such as electric cooker,
Increasing user wishes to cooking apparatus can be more intelligent, turns into the healthy house keeper of user.It is but of the prior art
Cooking apparatus only possesses simple function, no normal direction user such as cook, cook congee and recommends health, differentiation menu data.
The problem of health, differentiation menu data being pushed for cooking apparatus in the prior art without normal direction user, at present still
Effective solution is not proposed.
The content of the invention
The embodiments of the invention provide a kind of method for pushing of menu data, device and system, storage medium and processor,
At least to solve cooking apparatus in the prior art health, the technical problem of differentiation menu data are pushed without normal direction user.
One side according to embodiments of the present invention, there is provided a kind of method for pushing of menu data, including：Obtain target
The image information of object, the physical characteristic information of destination object, and the preference information of destination object, wherein, preference information is used
In the culinary art taste for characterizing destination object；Image information, physical characteristic information and preference information are divided using the first model
Analysis, obtains the menu data matched with destination object, wherein, model is to be trained using multigroup first data by machine learning
Come, every group of first data include：Image information, physical characteristic information and the preference information of destination object and the dish of matching
Forms data；Push menu data.
Another aspect according to embodiments of the present invention, a kind of pusher of menu data is additionally provided, including：Obtain mould
Block, for obtaining the image information of destination object, the physical characteristic information of destination object, and the preference information of destination object,
Wherein, preference information is used for the culinary art taste for characterizing destination object；Processing module, for using the first model to image information,
Physical characteristic information and preference information are analyzed, and obtain the menu data matched with destination object, wherein, model is more to use
Group the first data by machine learning train come, every group of first data include：The image information of destination object, body are special
Reference ceases and preference information and the menu data of matching；Pushing module, for pushing menu data.
Another aspect according to embodiments of the present invention, a kind of supplying system of menu data is additionally provided, including：Receive dress
Put, for obtaining the image information of destination object, the physical characteristic information of destination object, and the preference information of destination object,
Wherein, preference information is used for the culinary art taste for characterizing destination object；Processing unit, it is connected with reception device, for utilizing first
Model is analyzed image information, physical characteristic information and preference information, obtains the menu data matched with destination object, and
Push menu data, wherein, model be using multigroup first data by machine learning train come, every group of first data are equal
Including：Image information, physical characteristic information and the preference information of destination object and the menu data of matching.
Another aspect according to embodiments of the present invention, additionally provides a kind of storage medium, and storage medium includes the journey of storage
Sequence, wherein, control equipment where storage medium to perform the method for pushing of the menu data in above-described embodiment when program is run.
Another aspect according to embodiments of the present invention, a kind of processor is additionally provided, including：Processor is used to run journey
Sequence, wherein, program performs the method for pushing of the menu data in above-described embodiment when running.
In embodiments of the present invention, the image information of destination object, the physical characteristic information of destination object, and mesh are obtained
Mark object preference information, image information, physical characteristic information and preference information are analyzed using the first model, obtain with
The menu data of destination object matching, pushes menu data.Due to not only getting the image information of destination object, also get
The physical characteristic information and preference information of destination object, and the much information by getting, are obtained and mesh using the first model
The menu data of object matching is marked, recommends exclusive menu data to user according to the information of itself so as to realize, and then solve
Cooking apparatus pushes health, the technical problem of differentiation menu data without normal direction user in the prior art, reaches lifting culinary art
The intellectuality of utensil so that cooking apparatus turns into the healthy house keeper of user, improves the diet structure of user, makes user possess more
The effect of the life of health.
Brief description of the drawings
Accompanying drawing described herein is used for providing a further understanding of the present invention, forms the part of the application, this hair
Bright schematic description and description is used to explain the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is a kind of flow chart of the method for pushing of menu data according to embodiments of the present invention；
Fig. 2 is a kind of schematic diagram of the pusher of menu data according to embodiments of the present invention；And
Fig. 3 is a kind of schematic diagram of the supplying system of menu data according to embodiments of the present invention.
Embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill people
The every other embodiment that member is obtained under the premise of creative work is not made, it should all belong to the model that the present invention protects
Enclose.
It should be noted that term " first " in description and claims of this specification and above-mentioned accompanying drawing, "
Two " etc. be for distinguishing similar object, without for describing specific order or precedence.It should be appreciated that so use
Data can exchange in the appropriate case, so as to embodiments of the invention described herein can with except illustrating herein or
Order beyond those of description is implemented.In addition, term " comprising " and " having " and their any deformation, it is intended that cover
Cover it is non-exclusive include, be not necessarily limited to for example, containing the process of series of steps or unit, method, system, product or equipment
Those steps or unit clearly listed, but may include not list clearly or for these processes, method, product
Or the intrinsic other steps of equipment or unit.
Embodiment 1
According to embodiments of the present invention, there is provided a kind of embodiment of the method for pushing of menu data, it is necessary to explanation,
The step of flow of accompanying drawing illustrates can perform in the computer system of such as one group computer executable instructions, also,
, in some cases, can be with different from shown in order execution herein although showing logical order in flow charts
The step of going out or describing.
Fig. 1 is a kind of flow chart of the method for pushing of menu data according to embodiments of the present invention, as shown in figure 1, the party
Method comprises the following steps：
Step S102, obtain the image information of destination object, the physical characteristic information of destination object, and destination object
Preference information, wherein, preference information is used for the culinary art taste for characterizing destination object.
Specifically, above-mentioned destination object can be operate cooking apparatus user, can by filming apparatus (for example,
Camera, camera, video camera etc., the present invention this is not especially limited) get operation cooking apparatus user image
Information；Above-mentioned physical characteristic information can include：Heartbeat, body temperature, history of disease, deep sleep time etc., the present invention to this not
Make specific restriction, the physical characteristic information that user can provide is more, and the menu data provided a user is more healthy, is more advantageous to
User；Above-mentioned preference information can operate the mouthfeel of user, taste of cooking apparatus etc., for example, user like eating it is partially hard
Food still partially soft food, user likes eating the food of partially peppery food or meta-acid, because the occupation of user may
The taste for the user having influence on, therefore, can be using the professional preference information as user.
Step S104, image information, physical characteristic information and preference information are analyzed using the first model, obtain with
Destination object matching menu data, wherein, model be using multigroup first data by machine learning train come, every group
First data include：Image information, physical characteristic information and the preference information of destination object and the menu data of matching.
Specifically, above-mentioned menu data can be the menu that user carries out cooking operation using cooking apparatus, for example, red
Burn chop, stewed pig's trotters etc..In order to be analyzed according to image information, physical characteristic information and preference information, phase is obtained
The menu data matched somebody with somebody, neural network model can be pre-established, obtain image information, the physical characteristic information of multigroup different user
And preference information, and be the label of every group of corresponding menu data of data markers, and led to according to multigroup first data after mark
Machine learning training neural network model is crossed, obtains the first model.
Step S106, push menu data.
In a kind of optional scheme, when user needs to operate cooking apparatus, use can be photographed by filming apparatus
The image information at family, and the physical characteristic information and preference information that the user pre-enters are read from database, using
First model of signal is analyzed and processed, and obtains the menu data of user matching, and recommends the menu data to user, is used
Family can be selected to perform the menu data, or the menu data is appropriately modified, to meet health requirement.
By the above embodiment of the present invention, the image information of destination object is obtained, the physical characteristic information of destination object, with
And the preference information of destination object, image information, physical characteristic information and preference information are analyzed using the first model, obtained
To the menu data matched with destination object, menu data is pushed.Due to not only getting the image information of destination object, also obtain
The physical characteristic information and preference information of destination object, and the much information by getting are got, is obtained using the first model
The menu data matched with destination object, recommend exclusive menu data to user according to the information of itself so as to realize, and then
Solve cooking apparatus in the prior art and, without normal direction user push health, the technical problem of differentiation menu data, reach lifting
The intellectuality of cooking apparatus so that cooking apparatus turns into the healthy house keeper of user, improves the diet structure of user, possesses user
The effect of more healthy life.
Alternatively, in the above embodiment of the present invention, step S104, using the first model to image information, physical trait
Information and preference information are analyzed, and the menu data for obtaining matching with destination object includes：
Step S1042, image information is identified using the first submodel, obtains the attribute information of destination object, its
In, attribute information includes：Age and sex, the first submodel be using multigroup first subdata by machine learning train come
, every group of first subdata includes：The image information of destination object and corresponding attribute information.
Specifically, can be first after the image information of user of operation cooking apparatus is collected by filming apparatus
Using the first submodel for training to obtain beforehand through machine learning, the image information of user is identified, identification is used
The age at family and sex.Neural network model can be specifically established, obtains the image information of multiple users in advance, and is marked each
The age of user and sex in image information, are trained using the data after mark to neural network model, obtain the first son
Model.
Step S1044, physical characteristic information is analyzed using the second submodel, obtain the interior environment ginseng of destination object
Number, wherein, the second submodel be using multigroup second subdata by machine learning train come, every group of second subdata is equal
Including：The physical characteristic information of destination object and corresponding interior ambient parameter.
Specifically, after the physical characteristic information of user of operation cooking apparatus is read, medical services can be passed through
Device is analyzed the physical characteristic information of user, obtained using the second submodel for training to obtain beforehand through machine learning
The interior ambient parameter of user, so that it is determined that the various health parameters such as nutriment that user lacks.Nerve net can specifically be established
Network model, the physical characteristic information of multiple users, and the information provided by medical server are obtained in advance, be that each body is special
The interior ambient parameter of information flag user is levied, neural network model is trained using the data after mark, obtains the second son
Model.
Step S1046, attribute information, interior ambient parameter and preference information are analyzed using the 3rd submodel, obtained
Menu data, wherein, the 3rd submodel is to train what is come by machine learning using multigroup 3rd subdata, and every group the 3rd is sub
Data include：The attribute information of destination object, interior environmental information and preference information and the menu data of matching.
Specifically, attribute informations such as the sex of user, age and interior are being obtained by the first submodel and the second submodel
After ambient parameter information, it can utilize and train obtained the 3rd submodel beforehand through machine learning, to attribute information, inner ring
Border parameter and preference information are analyzed, so as to obtain the menu data to match with user.Neutral net can specifically be established
Model, obtains attribute information, interior ambient parameter and the preference information of multiple users in advance, and marks each 3rd subdata corresponding
Menu data label, neural network model is trained using the data after mark, obtains the 3rd submodel.
Alternatively, in the above embodiment of the present invention, step S102, obtaining the image information of destination object includes：
Step S1021, the image information that filming apparatus shoots to obtain is received, wherein, image information includes：Destination object
The limbs image of face image and/or destination object.
Specifically, above-mentioned filming apparatus can be mounted in camera, camera or shooting outside cooking apparatus
Machine etc., the present invention are not especially limited to this, and filming apparatus may be mounted at the top of cooking apparatus either at operation interface.
In a kind of optional scheme, when user needs to operate cooking apparatus, the camera installed on cooking apparatus can
To collect the face image of user or limbs image, and the image information collected is transmitted to the master control core of cooking apparatus
Piece, handled by main control chip.
Alternatively, in the above embodiment of the present invention, step S102, obtaining the physical characteristic information of destination object includes：
Step S1022, image information is identified using the second model, obtains the identity information of destination object, wherein,
Second model be using multigroup second data by machine learning train come, every group of second data include：Destination object
Image information and corresponding identity information.
Specifically, above-mentioned identity information can be the identity of user, for example, numbering, each numbering is corresponding one
User.
Step S1023, according to identity information, physical characteristic information corresponding to reading, obtain the physical trait of destination object
Information.
Specifically, each member in one family can input the physical characteristic information of itself into cooking apparatus,
And be stored among the memory of cooking apparatus, in the image information for the user that operation cooking apparatus is photographed by filming apparatus
Afterwards, image information is identified the second model that training in advance can be utilized good, it is determined that the user of operation cooking apparatus is
Which kinsfolk, and corresponding physical characteristic information is read from memory, so as to obtain operating the use of cooking apparatus
The physical characteristic information at family.Neural network model can be specifically established, obtains the image information of multiple users in advance, and is marked every
The label of the identity information of individual image information, neural network model is trained using the data after mark, obtains the second mould
Type.
Alternatively, in the above embodiment of the present invention, in step S1023, according to identity information, body corresponding to reading is special
Reference ceases, and before obtaining the physical characteristic information of destination object, this method also includes：
Step S1024, obtain the identity information and physical characteristic information of multiple objects.
Step S1025, the identity information of each object and physical characteristic information are stored.
In a kind of optional scheme, it is necessary to obtain in family each member each before user operates cooking apparatus
Identity information and physical characteristic information, and the identity information got and physical characteristic information are subjected to corresponding storage.
Alternatively, in the above embodiment of the present invention, step S1024, identity information and the body for obtaining multiple objects be special
Reference breath includes：
Step S10242, receive the physical characteristic information and identity information of multiple objects of multiple object inputs.Or
Step S10244, receive the physical characteristic information and identity information of multiple objects that multiple wearable devices are sent.
Specifically, above-mentioned wearable device can be the equipment that Intelligent bracelet etc. can gather user's body characteristic information,
The present invention is not especially limited to this.
In a kind of optional scheme, the mode that each kinsfolk can manually input inputs the body of each member
Part information and corresponding physical characteristic information.In another optional scheme, each kinsfolk can wear a wearing
Equipment, the physical characteristic information of each kinsfolk is gathered by wearable device, and physical characteristic information and corresponding identity are believed
Breath is sent to cooking apparatus by network.
Alternatively, in the above embodiment of the present invention, step S102, obtaining the preference information of destination object includes：
Step S1026, image information is identified using the second model, obtains the identity information of destination object.
Step S1027, according to identity information, preference information corresponding to reading, obtain the preference information of destination object.
Specifically, each member in one family can input the physical characteristic information of itself into cooking apparatus,
And be stored among the memory of cooking apparatus, in the image information for the user that operation cooking apparatus is photographed by filming apparatus
Afterwards, image information is identified the second model that training in advance can be utilized good, it is determined that the user of operation cooking apparatus is
Which kinsfolk, and corresponding preference information is read from memory, so as to obtain operating the user's of cooking apparatus
Preference information.
Alternatively, in the above embodiment of the present invention, in step S1027, according to identity information, preference corresponding to reading is believed
Breath, before obtaining the preference information of destination object, this method also includes：
Step S1028, receive the identity information and preference information of multiple object inputs.
Step S1029, the identity information of each object and preference information are stored.
In a kind of optional scheme, shift to an earlier date before user operates cooking apparatus, it is necessary to obtain each member in family
Respective identity information and preference information are inputted, and the identity information got and preference information are subjected to corresponding storage.
Alternatively, in the above embodiment of the present invention, step S106, push menu data includes：
Step S1062, show menu data.Or
Step S1064, menu data is sent to the mobile terminal of destination object.
Specifically, above-mentioned mobile terminal can be smart mobile phone, tablet personal computer, IPAD, palm PC, notebook computer
Deng the application APP of cooking apparatus is provided with mobile terminal in advance.
In a kind of optional scheme, after identification obtains needing to recommend suitable menu data to user, Ke Yizhi
Connected display screen and show the menu data, so as to which user can determine the specific cooking operation that cooking apparatus will perform；Or
Person, can also send menu data can be had a try by mobile phone and view the dish for recommending the user to the mobile phone of user, user
Modal data.
Alternatively, in the above embodiment of the present invention, in step S106, after pushing menu data, this method also includes：
Step S108, cooking instruction is received, wherein, cooking instruction includes one of following：Programmable button, which is triggered, to be generated
The first cooking instruction, and mobile terminal send the second cooking instruction.
Step S110, cooking operation is performed according to menu data.
In a kind of optional scheme, after user views and recommends the menu data of the user, user can be straight
" beginning " button connected in operation interface generates the first cooking instruction, so as to which cooking apparatus is receiving the first cooking instruction
Afterwards, cooking operation can be performed according to the menu data for recommending user.
In another optional scheme, user uses after being viewed by mobile phone and recommending the menu data of user
Family can send the second cooking instruction to cooking apparatus by mobile phone, so as to cooking apparatus receive the second cooking instruction it
Afterwards, cooking operation can be performed according to the menu data for recommending user.
Embodiment 2
According to embodiments of the present invention, there is provided a kind of embodiment of the pusher of menu data.
Fig. 2 is a kind of schematic diagram of the pusher of menu data according to embodiments of the present invention, as shown in Fig. 2 the dress
Put including：
Acquisition module 21, for obtaining the image information of destination object, the physical characteristic information of destination object, and target
The preference information of object, wherein, preference information is used for the culinary art taste for characterizing destination object.
Specifically, above-mentioned destination object can be operate cooking apparatus user, can by filming apparatus (for example,
Camera, camera, video camera etc., the present invention this is not especially limited) get operation cooking apparatus user image
Information；Above-mentioned physical characteristic information can include：Heartbeat, body temperature, history of disease, deep sleep time etc., the present invention to this not
Make specific restriction, the physical characteristic information that user can provide is more, and the menu data provided a user is more healthy, is more advantageous to
User；Above-mentioned preference information can operate the mouthfeel of user, taste of cooking apparatus etc., for example, user like eating it is partially hard
Food still partially soft food, user likes eating the food of partially peppery food or meta-acid, because the occupation of user may
The taste for the user having influence on, therefore, can be using the professional preference information as user.
Processing module 23, for being analyzed using the first model image information, physical characteristic information and preference information,
Obtain the menu data matched with destination object, wherein, model be using multigroup first data by machine learning train come
, every group of first data include：Image information, physical characteristic information and the preference information of destination object and the menu of matching
Data.
Specifically, above-mentioned menu data can be the menu that user carries out cooking operation using cooking apparatus, for example, red
Burn chop, stewed pig's trotters etc..In order to be analyzed according to image information, physical characteristic information and preference information, phase is obtained
The menu data matched somebody with somebody, neural network model can be pre-established, obtain image information, the physical characteristic information of multigroup different user
And preference information, and be the label of every group of corresponding menu data of data markers, and led to according to multigroup first data after mark
Machine learning training neural network model is crossed, obtains the first model.
Pushing module 25, for pushing menu data.
In a kind of optional scheme, when user needs to operate cooking apparatus, use can be photographed by filming apparatus
The image information at family, and the physical characteristic information and preference information that the user pre-enters are read from database, using
First model of signal is analyzed and processed, and obtains the menu data of user matching, and recommends the menu data to user, is used
Family can be selected to perform the menu data, or the menu data is appropriately modified, to meet health requirement.
By the above embodiment of the present invention, the image information of destination object is obtained, the physical characteristic information of destination object, with
And the preference information of destination object, image information, physical characteristic information and preference information are analyzed using the first model, obtained
To the menu data matched with destination object, menu data is pushed.Due to not only getting the image information of destination object, also obtain
The physical characteristic information and preference information of destination object, and the much information by getting are got, is obtained using the first model
The menu data matched with destination object, recommend exclusive menu data to user according to the information of itself so as to realize, and then
Solve cooking apparatus in the prior art and, without normal direction user push health, the technical problem of differentiation menu data, reach lifting
The intellectuality of cooking apparatus so that cooking apparatus turns into the healthy house keeper of user, improves the diet structure of user, possesses user
The effect of more healthy life.
Alternatively, in the above embodiment of the present invention, processing module 23 is additionally operable to using the first submodel to image information
It is identified, obtains the attribute information of destination object, physical characteristic information is analyzed using the second submodel, obtains target
The interior ambient parameter of object, attribute information, interior ambient parameter and preference information are analyzed using the 3rd submodel, obtain dish
Modal data, wherein, attribute information includes：Age and sex, the first submodel are to pass through engineering using multigroup first subdata
Practise and train what is come, every group of first subdata includes：The image information of destination object and corresponding attribute information, the second son
Model be using multigroup second subdata by machine learning train come, every group of second subdata includes：Destination object
Physical characteristic information and corresponding interior ambient parameter, the 3rd submodel be using multigroup 3rd subdata to pass through machine learning
Train what is come, every group of the 3rd subdata includes：The attribute information of destination object, interior environmental information and preference information and
The menu data matched somebody with somebody.
Alternatively, in the above embodiment of the present invention, acquisition module 21 is additionally operable to receive the figure that filming apparatus shoots to obtain
As information, wherein, image information includes：The face image of destination object and/or the limbs image of destination object.
Alternatively, in the above embodiment of the present invention, acquisition module 21 is additionally operable to enter image information using the second model
Row identification, obtains the identity information of destination object, according to identity information, physical characteristic information corresponding to reading, obtains target pair
The physical characteristic information of elephant, wherein, the second model be using multigroup second data by machine learning train come, every group the
Two data include：The image information of destination object and corresponding identity information.
Alternatively, in the above embodiment of the present invention, the device also includes：Memory module, for obtaining multiple objects
Identity information and physical characteristic information, the identity information of each object and physical characteristic information are stored.
Alternatively, in the above embodiment of the present invention, memory module is additionally operable to receive multiple objects of multiple object inputs
Physical characteristic information and identity information；Or receive the physical characteristic information and identity of multiple objects that multiple wearable devices are sent
Information.
Alternatively, in the above embodiment of the present invention, acquisition module 21 is additionally operable to enter image information using the second model
Row identification, obtains the identity information of destination object, and according to identity information, preference information corresponding to reading, obtain destination object
Preference information.
Alternatively, in the above embodiment of the present invention, the device also includes：Memory module, it is defeated for receiving multiple objects
The identity information and preference information entered；The identity information of each object and preference information are stored.
Alternatively, in the above embodiment of the present invention, pushing module 25 is additionally operable to show menu data；Or send menu number
According to the mobile terminal to destination object.
Alternatively, in the above embodiment of the present invention, the device also includes：Control module, for receiving cooking instruction, and
Cooking operation is performed according to menu data, wherein, cooking instruction includes one of following：Programmable button is triggered generated first
Cooking instruction, and the second cooking instruction that mobile terminal is sent.
Embodiment 3
According to embodiments of the present invention, there is provided a kind of embodiment of the supplying system of menu data.
Fig. 3 is a kind of schematic diagram of the supplying system of menu data according to embodiments of the present invention, as shown in figure 3, this is
System includes：Reception device 31 and processing unit 33.
Wherein, image information of the reception device 31 for obtaining destination object, the physical characteristic information of destination object, and
The preference information of destination object, wherein, preference information is used for the culinary art taste for characterizing destination object；Processing unit 33 fills with receiving
31 connections are put, for being analyzed using the first model image information, physical characteristic information and preference information, are obtained and target
The menu data of object matching, and menu data is pushed, wherein, model is to be trained using multigroup first data by machine learning
Out, every group of first data include：Image information, physical characteristic information and the preference information of destination object and matching
Menu data.
Specifically, above-mentioned reception device 31 and processing unit 33 can be the main control chips of cooking apparatus, for example, can be with
It is single-chip microcomputer, MCU (micro-control unit, being Microcontroller Unit abbreviation) etc..Above-mentioned destination object can be
Operate the user of cooking apparatus, can by filming apparatus (for example, camera, camera, video camera etc., the present invention to this not
Make specific limit) get operation cooking apparatus user image information；Above-mentioned physical characteristic information can include：The heart
Jump, body temperature, history of disease, deep sleep time etc., the present invention are not especially limited to this, the physical trait letter that user can provide
Breath is more, and the menu data provided a user is more healthy, is more advantageous to user；Above-mentioned preference information can be operation cooking pot
The mouthfeel of the user of tool, taste etc., for example, user likes eating partially hard food still partially soft food, user likes eating partially peppery
Food or meta-acid food, due to the taste of user that the occupation of user may influence whether, therefore, occupation can be made
For the preference information of user.Above-mentioned menu data can be the menu that user carries out cooking operation using cooking apparatus, for example,
Spareribs with brown sauce, stewed pig's trotters etc..In order to be analyzed according to image information, physical characteristic information and preference information, phase is obtained
The menu data of matching, neural network model can be pre-established, obtain image information, the physical trait letter of multigroup different user
Breath and preference information, and be the label of every group of corresponding menu data of data markers, and according to multigroup first data after mark
Neural network model is trained by machine learning, obtains the first model.
In a kind of optional scheme, when user needs to operate cooking apparatus, use can be photographed by filming apparatus
The image information at family, and the physical characteristic information and preference information that the user pre-enters are read from database, using
First model of signal is analyzed and processed, and obtains the menu data of user matching, and recommends the menu data to user, is used
Family can be selected to perform the menu data, or the menu data is appropriately modified, to meet health requirement.
By the above embodiment of the present invention, the image information of destination object is obtained, the physical characteristic information of destination object, with
And the preference information of destination object, image information, physical characteristic information and preference information are analyzed using the first model, obtained
To the menu data matched with destination object, menu data is pushed.Due to not only getting the image information of destination object, also obtain
The physical characteristic information and preference information of destination object, and the much information by getting are got, is obtained using the first model
The menu data matched with destination object, recommend exclusive menu data to user according to the information of itself so as to realize, and then
Solve cooking apparatus in the prior art and, without normal direction user push health, the technical problem of differentiation menu data, reach lifting
The intellectuality of cooking apparatus so that cooking apparatus turns into the healthy house keeper of user, improves the diet structure of user, possesses user
The effect of more healthy life.
Alternatively, in the above embodiment of the present invention, processing unit includes：First processor, second processor and the 3rd
Processor.
Wherein, first processor is connected with reception device, for image information to be identified using the first submodel, is obtained
To the attribute information of destination object, wherein, attribute information includes：Age and sex, the first submodel are using the multigroup first son
Data by machine learning train come, every group of first subdata includes：The image information of destination object and corresponding
Attribute information；Second processor is connected with reception device, for being analyzed using the second submodel physical characteristic information, is obtained
To the interior ambient parameter of destination object, wherein, the second submodel is to be trained using multigroup second subdata by machine learning
Come, every group of second subdata includes：The physical characteristic information of destination object and corresponding interior ambient parameter；3rd processing
Device is connected with first processor and second processor, for utilizing the 3rd submodel to attribute information, interior ambient parameter and preference
Information is analyzed, and obtains menu data, wherein, the 3rd submodel is to be trained using multigroup 3rd subdata by machine learning
Out, every group of the 3rd subdata includes：The attribute information of destination object, interior environmental information and preference information and matching
Menu data.
Specifically, can be first after the image information of user of operation cooking apparatus is collected by filming apparatus
Using the first submodel for training to obtain beforehand through machine learning, the image information of user is identified, identification is used
The age at family and sex.Neural network model can be specifically established, obtains the image information of multiple users in advance, and is marked each
The age of user and sex in image information, are trained using the data after mark to neural network model, obtain the first son
Model.After the physical characteristic information of user of operation cooking apparatus is read, it can be used by medical server advance
The second submodel for training to obtain by machine learning, is analyzed the physical characteristic information of user, obtains the inner ring of user
Border parameter, so that it is determined that the various health parameters such as nutriment that user lacks.Neural network model can be specifically established, in advance
The physical characteristic information of multiple users, and the information provided by medical server are provided, marked for each physical characteristic information
The interior ambient parameter of user, is trained using the data after mark to neural network model, obtains the second submodel.Passing through
, can be with after first submodel and the second submodel obtain the attribute informations such as the sex of user, age and interior ambient parameter information
Using the 3rd submodel for training to obtain beforehand through machine learning, attribute information, interior ambient parameter and preference information are carried out
Analysis, so as to obtain the menu data to match with user.Neural network model can be specifically established, obtains multiple users in advance
Attribute information, interior ambient parameter and preference information, and mark the label of menu data corresponding to each 3rd subdata, utilize
Data after mark are trained to neural network model, obtain the 3rd submodel.
Alternatively, in the above embodiment of the present invention, the system also includes：Filming apparatus.
Wherein, filming apparatus is connected with reception device, for shooting image information, wherein, image information includes：Target pair
The face image of elephant and/or the limbs image of destination object.
Specifically, above-mentioned filming apparatus can be mounted in camera, camera or shooting outside cooking apparatus
Machine etc., the present invention are not especially limited to this, and filming apparatus may be mounted at the top of cooking apparatus either at operation interface.
In a kind of optional scheme, when user needs to operate cooking apparatus, the camera installed on cooking apparatus can
To collect the face image of user or limbs image, and the image information collected is transmitted to the master control core of cooking apparatus
Piece, handled by main control chip.
Alternatively, in the above embodiment of the present invention, reception device includes：Processor and the first reader.
Wherein, processor, for image information to be identified using the second model, the identity letter of destination object is obtained
Breath, wherein, the second model be using multigroup second data by machine learning train come, every group of second data include：
The image information of destination object and corresponding identity information；First reader, is connected with processor, for being believed according to identity
Breath, physical characteristic information corresponding to reading, obtains the physical characteristic information of destination object.
Specifically, above-mentioned identity information can be the identity of user, for example, numbering, each numbering is corresponding one
User.Each member in one family can input the physical characteristic information of itself into cooking apparatus, and be stored in and cook
Prepare food among the memory of utensil, can be with after the image information of user of operation cooking apparatus is photographed by filming apparatus
Image information is identified using the second good model of training in advance, it is determined which family the user of operation cooking apparatus is
Member, and corresponding physical characteristic information is read from memory, it is special so as to obtain operating the body of the user of cooking apparatus
Reference ceases.Neural network model can be specifically established, obtains the image information of multiple users in advance, and marks each image information
Identity information label, neural network model is trained using the data after mark, obtains the second model.
Alternatively, in the above embodiment of the present invention, the system also includes：Memory.
Wherein, memory is used to obtaining the identity information and physical characteristic information of multiple objects, and by the body of each object
Part information and physical characteristic information are stored.
Alternatively, in the above embodiment of the present invention, memory is additionally operable to receive multiple objects of multiple object inputs
Physical characteristic information and identity information, or receive the physical characteristic information and identity letter of multiple objects that multiple wearable devices are sent
Breath.
Alternatively, in the above embodiment of the present invention, reception device includes：Processor and the second reader.
Wherein, processor is used to image information be identified using the second model, obtains the identity information of destination object；
Second reader is connected with processor, for according to identity information, preference information corresponding to reading, obtaining the preference of destination object
Information.
Specifically, each member in one family can input the physical characteristic information of itself into cooking apparatus,
And be stored among the memory of cooking apparatus, in the image information for the user that operation cooking apparatus is photographed by filming apparatus
Afterwards, image information is identified the second model that training in advance can be utilized good, it is determined that the user of operation cooking apparatus is
Which kinsfolk, and corresponding preference information is read from memory, so as to obtain operating the user's of cooking apparatus
Preference information.
Alternatively, in the above embodiment of the present invention, the system also includes：Memory.
Wherein, memory is used for the identity information and preference information for receiving multiple object inputs, by the identity of each object
Information and preference information are stored.
Alternatively, in the above embodiment of the present invention, the system also includes：Display screen or communicator.
Wherein, display screen is used to show menu data；Communicator is used to send movement of the menu data to destination object
Terminal.
Alternatively, in the above embodiment of the present invention, the system also includes：Control device.
Wherein, control device is used to receive cooking instruction, performs cooking operation according to menu data, cooking instruction is included such as
It is one of lower：Programmable button is triggered the first generated cooking instruction, and the second cooking instruction that mobile terminal is sent.
Embodiment 4
According to embodiments of the present invention, there is provided a kind of embodiment of storage medium, storage medium include the program of storage, its
In, control equipment where storage medium to perform the method for pushing of the menu data in above-described embodiment 1 when program is run.
Embodiment 5
According to embodiments of the present invention, there is provided a kind of embodiment of processor, processor are used for operation program, wherein, journey
The method for pushing of the menu data in above-described embodiment 1 is performed during sort run.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
In the above embodiment of the present invention, the description to each embodiment all emphasizes particularly on different fields, and does not have in some embodiment
The part of detailed description, it may refer to the associated description of other embodiment.
In several embodiments provided herein, it should be understood that disclosed technology contents, others can be passed through
Mode is realized.Wherein, device embodiment described above is only schematical, such as the division of the unit, Ke Yiwei
A kind of division of logic function, can there is an other dividing mode when actually realizing, for example, multiple units or component can combine or
Person is desirably integrated into another system, or some features can be ignored, or does not perform.Another, shown or discussed is mutual
Between coupling or direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, unit or module
Connect, can be electrical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On unit.Some or all of unit therein can be selected to realize the purpose of this embodiment scheme according to the actual needs.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use
When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially
The part to be contributed in other words to prior art or all or part of the technical scheme can be in the form of software products
Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer
Equipment (can be personal computer, server or network equipment etc.) perform each embodiment methods described of the present invention whole or
Part steps.And foregoing storage medium includes：USB flash disk, read-only storage (ROM, Read-Only Memory), arbitrary access are deposited
Reservoir (RAM, Random Access Memory), mobile hard disk, magnetic disc or CD etc. are various can be with store program codes
Medium.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (13)
- A kind of 1. method for pushing of menu data, it is characterised in that including：Obtain the image information of destination object, the physical characteristic information of the destination object, and the preference of the destination object Information, wherein, the preference information is used for the culinary art taste for characterizing the destination object；Described image information, the physical characteristic information and the preference information are analyzed using the first model, obtain with The menu data of the destination object matching, wherein, the model is to be trained using multigroup first data by machine learning Come, every group of first data include：Image information, physical characteristic information and the preference information of destination object and the dish of matching Forms data；Push the menu data.
- 2. according to the method for claim 1, it is characterised in that using the first model to described image information, the body Characteristic information and the preference information are analyzed, and obtain including with the menu data that the destination object matches：Described image information is identified using the first submodel, obtains the attribute information of the destination object, wherein, it is described Attribute information includes：Age and sex, first submodel are to be trained using multigroup first subdata by machine learning Come, every group of first subdata includes：The image information of destination object and corresponding attribute information；The physical characteristic information is analyzed using the second submodel, obtains the interior ambient parameter of the destination object, its In, second submodel be using multigroup second subdata by machine learning train come, every group of second subdata is equal Including：The physical characteristic information of destination object and corresponding interior ambient parameter；The attribute information, the interior ambient parameter and the preference information are analyzed using the 3rd submodel, obtain institute State menu data, wherein, the 3rd submodel be using multigroup 3rd subdata by machine learning train come, every group 3rd subdata includes：The attribute information of destination object, interior environmental information and preference information and the menu data of matching.
- 3. according to the method for claim 2, it is characterised in that obtaining the image information of destination object includes：The described image information that filming apparatus shoots to obtain is received, wherein, described image information includes：The face of the destination object The limbs image of portion's image and/or the destination object.
- 4. according to the method for claim 2, it is characterised in that obtaining the physical characteristic information of the destination object includes：Described image information is identified using the second model, obtains the identity information of the destination object, wherein, described Two models be using multigroup second data by machine learning train come, every group of second data include：Destination object Image information and corresponding identity information；According to the identity information, physical characteristic information corresponding to reading, the physical characteristic information of the destination object is obtained.
- 5. according to the method for claim 2, it is characterised in that obtaining the preference information of the destination object includes：Described image information is identified using the second model, obtains the identity information of the destination object；According to the identity information, preference information corresponding to reading, the preference information of the destination object is obtained.
- A kind of 6. pusher of menu data, it is characterised in that including：Acquisition module, for obtaining the image information of destination object, the physical characteristic information of the destination object, and the mesh The preference information of object is marked, wherein, the preference information is used for the culinary art taste for characterizing the destination object；Processing module, for being entered using the first model to described image information, the physical characteristic information and the preference information Row analysis, obtains the menu data matched with the destination object, wherein, the model is to pass through machine using multigroup first data What device learning training came out, every group of first data include：Image information, physical characteristic information and the preference information of destination object And the menu data of matching；Pushing module, for pushing the menu data.
- A kind of 7. supplying system of menu data, it is characterised in that including：Reception device, for obtaining the image information of destination object, the physical characteristic information of the destination object, and the mesh The preference information of object is marked, wherein, the preference information is used for the culinary art taste for characterizing the destination object；Processing unit, it is connected with the reception device, for being believed using the first model described image information, the physical trait Breath and the preference information are analyzed, and obtain the menu data matched with the destination object, and push the menu data, Wherein, the model be using multigroup first data by machine learning train come, every group of first data include：Target Image information, physical characteristic information and the preference information of object and the menu data of matching.
- 8. system according to claim 7, it is characterised in that the processing unit includes：First processor, it is connected with the reception device, for described image information to be identified using the first submodel, obtains To the attribute information of the destination object, wherein, the attribute information includes：Age and sex, first submodel are to make With multigroup first subdata by machine learning train come, every group of first subdata includes：The image letter of destination object Breath and corresponding attribute information；Second processor, it is connected with the reception device, for being divided using the second submodel the physical characteristic information Analysis, obtains the interior ambient parameter of the destination object, wherein, second submodel is to pass through machine using multigroup second subdata What device learning training came out, every group of second subdata includes：The physical characteristic information of destination object and corresponding interior environment Parameter；3rd processor, it is connected with the first processor and the second processor, for utilizing the 3rd submodel to described Attribute information, the interior ambient parameter and the preference information are analyzed, and obtain the menu data, wherein, the described 3rd Submodel be using multigroup 3rd subdata by machine learning train come, every group of the 3rd subdata includes：Target pair The attribute information of elephant, interior environmental information and preference information and the menu data of matching.
- 9. system according to claim 8, it is characterised in that the system also includes：Filming apparatus, it is connected with the reception device, for shooting described image information, wherein, described image information includes：Institute State the face image of destination object and/or the limbs image of the destination object.
- 10. system according to claim 8, it is characterised in that the reception device includes：Processor, for described image information to be identified using the second model, the identity information of the destination object is obtained, Wherein, second model be using multigroup second data by machine learning train come, every group of second data include： The image information of destination object and corresponding identity information；First reader, it is connected with the processor, for according to the identity information, physical characteristic information corresponding to reading, Obtain the physical characteristic information of the destination object.
- 11. system according to claim 8, it is characterised in that the reception device includes：Processor, for described image information to be identified using the second model, obtain the identity information of the destination object；Second reader, it is connected with the processor, for according to the identity information, preference information corresponding to reading, obtaining The preference information of the destination object.
- A kind of 12. storage medium, it is characterised in that the storage medium includes the program of storage, wherein, run in described program When control the storage medium where menu data in equipment perform claim requirement 1 to 5 described in any one method for pushing.
- A kind of 13. processor, it is characterised in that the processor is used for operation program, wherein, right of execution when described program is run Profit requires the method for pushing of the menu data described in any one in 1 to 5.
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