CN109736910A - Steam treatment method and cooking apparatus - Google Patents
Steam treatment method and cooking apparatus Download PDFInfo
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- CN109736910A CN109736910A CN201910033081.8A CN201910033081A CN109736910A CN 109736910 A CN109736910 A CN 109736910A CN 201910033081 A CN201910033081 A CN 201910033081A CN 109736910 A CN109736910 A CN 109736910A
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Abstract
The invention discloses a kind of steam treatment method and cooking apparatus.Cooking apparatus using steam treatment method includes: exhaust valve, the Steam Recovery mechanism that exhaust valve top is arranged in, generator, wherein, if method includes: to detect that exhaust valve is exhausted, Steam Recovery mechanism is worked using the steam drive generator of exhaust valve discharge；By the power storage of generator generation to battery, wherein the electric energy of accumulators store is that one or more components of cooking apparatus carry out auxiliary power supply.Above scheme is based on Steam Recovery technology, solves the cooking apparatus of the prior art during boiling, the technical issues of being directly discharged in air by the steam of discharge, lead to the wasting of resources.
Description
Technical field
The present invention relates to intelligent small household appliances fields, in particular to a kind of steam treatment method and cooking apparatus.
Background technique
With the development of science and technology, social progress, artificial intelligence technology has developed rapidly and application scenarios are continuous
Increase.Many household electrical appliance are also closely connect with Internet of Things-artificial intelligence technology, new in conjunction with artificial intelligence based on Internet of Things
The demand of type family product has also been approved by masses.
Due to the accelerating rhythm of life, the time that people rest on kitchen is fewer and fewer, therefore, energy saving, time saving, easy behaviour
Make, there is an urgent need to be developed for the cooking apparatus that the nutrition that can included by food is ideally brought into play.Traditional electric meal
It stews and directly arranges steam to aerial, do not have recycling function, economize on electricity property is weaker.And traditional electric cooker does not have the grain of rice and identifies function
Can, it is arranged in face of different rice kinds without categorised decision, the mouthfeel of rice is caused to be good or bad, volatile nutrient element loss is serious,
And it cannot be controlled by the user.
For the prior art cooking apparatus during boiling, the steam of discharge is directly discharged in air, is led
The problem of causing the wasting of resources, currently no effective solution has been proposed.
Summary of the invention
The embodiment of the invention provides a kind of steam treatment method and cooking apparatus, at least to solve the culinary art of the prior art
Utensil is during boiling, the technical issues of being directly discharged in air by the steam of discharge, lead to the wasting of resources.
According to an aspect of an embodiment of the present invention, a kind of steam treatment method is provided, using the steam treatment side
The cooking apparatus of method includes: exhaust valve, the Steam Recovery mechanism that exhaust valve top is arranged in, generator, wherein method includes:
If detecting that exhaust valve is exhausted, Steam Recovery mechanism is worked using the steam drive generator of exhaust valve discharge；It will hair
The power storage that motor generates is to battery, wherein the electric energy of accumulators store be cooking apparatus one or more components into
Row auxiliary power supply.
Optionally, Steam Recovery mechanism is internally provided with wind wheel structure, wherein control Steam Recovery mechanism utilizes exhaust
The steam drive generator work of valve discharge, comprising: steam can be converted to mechanical energy by the wind wheel structure in Steam Recovery mechanism,
Mechanical energy drives generator operation, so that driven generator works.
Optionally, method further include: cook and completed in the case that power supply automatically powers off in cooking apparatus, battery is to cook
Prepare food utensil as lower component power: exhaust valve, heating element, timing module, decision-making module, display module, communication module and report
Alert module.
Optionally, it being internally provided with camera in cooking apparatus, camera has waterproof heat-resisting material and structure,
In, method further include: the food image of the food of cooking apparatus culinary art is acquired by camera；Use convolutional neural networks model
It identifies food image, determines the type of food in food image, wherein in the case where food is the grain of rice, the type packet of the grain of rice
Include at least one following: whole rice is cracked rice and adhesion rice.
Optionally, using convolutional neural networks model identify food image, determine food in food image type it
Afterwards, method further include: decision-making module determines cooking data according to the cooking data of setting and the type of food, wherein culinary art number
According to including at least: the heating temperature of the fire data of adding thermal resistance, the evacuation time of exhaust valve and different cooking stages；Based on cooking
Data of preparing food control cooking apparatus cooks food.
Optionally, during being cooked based on cooking data control cooking apparatus to food, method further include: logical
Cross the steam data of the exhaust outlet of Temperature Humidity Sensor detection exhaust valve；The steaming that decision-making module is detected based on Temperature Humidity Sensor
Vapour data obtain feedback information, wherein feedback information is for triggering the start-up operation of Steam Recovery mechanism.
Optionally, in decision-making module according to the cooking data of setting and the type of food, before determining cooking data, method
Further include: decision-making module receives the type of food in the food image of communication module transmission, and receives external interactive interface and connect
The cooking data received.
Optionally, communication module be also used to receive remote server transmission more new command, wherein more new command for pair
The function of cooking apparatus is upgraded.
According to another aspect of an embodiment of the present invention, a kind of cooking apparatus is additionally provided, comprising: exhaust valve, for being vented；
Temperature and humidity sensor, for incuding whether exhaust valve is exhausted；The Steam Recovery mechanism on exhaust valve top is set, is used for
In the case where sensing that exhaust valve is exhausted, worked using the steam drive generator of exhaust valve discharge；Battery, with power generation
Machine connection, for storing the electric energy of generator generation, wherein the electric energy of accumulators store is one or more portions of cooking apparatus
Part carries out auxiliary power supply.
Optionally, Steam Recovery mechanism is internally provided with wind wheel structure, and steam can be converted to mechanical energy by wind wheel structure,
Wherein, mechanical energy drives generator operation, so that driven generator works.
Optionally, cooking apparatus further includes such as lower component: heat preservation component, decision-making module, display module, leads to timing module
Believe module and alarm module, wherein cook and completed in the case that power supply automatically powers off in cooking apparatus, battery is cooking pot
The component of tool is powered.
Optionally, it being internally provided with camera in cooking apparatus, camera has waterproof heat-resisting material and structure,
In, camera acquires the food image of the food of cooking apparatus culinary art, and identifies food image by convolutional neural networks model
To determine the type of food in food image, wherein in the case where food is the grain of rice, the type of the grain of rice include it is following at least it
One: whole rice is cracked rice and adhesion rice.
Optionally, decision-making module is used to determine cooking data according to the cooking data of setting and the type of food, wherein
Cooking data includes at least: the heating temperature of the fire data of adding thermal resistance, the evacuation time of exhaust valve and different cooking stages.
Optionally, interactive interface is arranged in the outer surface of cooking apparatus, for receiving externally input cooking data.
Optionally, cooking apparatus further include: communication module is connected between camera and decision-making module, is used for food
The type transfers of food are to decision-making module in image.
Optionally, communication module be also used to receive remote server transmission more new command, wherein more new command for pair
The function of cooking apparatus is upgraded.
According to another aspect of an embodiment of the present invention, a kind of storage medium is additionally provided, storage medium includes the journey of storage
Sequence, wherein equipment where control storage medium executes the steam treatment side of any one of the above cooking apparatus in program operation
Method.
According to another aspect of an embodiment of the present invention, a kind of processor is additionally provided, processor is used to run program,
In, program executes the steam treatment method of any one of the above cooking apparatus when running.
In embodiments of the present invention, include: exhaust valve using the cooking apparatus of steam treatment method, be arranged on exhaust valve
The Steam Recovery mechanism in portion, generator, wherein if method includes: to detect that exhaust valve is exhausted, Steam Recovery mechanism benefit
The steam drive generator work being discharged with exhaust valve；By the power storage of generator generation to battery, wherein battery is deposited
The electric energy of storage is that one or more components of cooking apparatus carry out auxiliary power supply.Above scheme is based on Steam Recovery technology, passes through
Wind wheel can convert mechanical energy for steam and then be converted into electric energy, be stored in battery, solve the cooking pot of the prior art
Tool is during boiling, the technical issues of being directly discharged in air by the steam of discharge, lead to the wasting of resources.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the steam treatment method flow chart according to a kind of optional cooking apparatus of the embodiment of the present application；
Fig. 2 is a kind of optional rice cooker structure schematic diagram according to the embodiment of the present application；And
Fig. 3 is the schematic diagram according to a kind of optional Steam Recovery mechanism of the embodiment of the present application.
Wherein, 1- electric cooker main body, 2- pot cover, 3- exhaust valve, 4- Steam Recovery mechanism, 41- wind wheel, 5- camera, 6-
Temperature Humidity Sensor, 7-wifi module, 8- decision-making module, 9- bolt, 10- battery.
Specific embodiment
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention
Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only
The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work
It encloses.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Covering non-exclusive includes to be not necessarily limited to for example, containing the process, device of a series of steps or units, system, product or equipment
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, devices, product
Or other step or units that equipment is intrinsic.
Embodiment 1
According to embodiments of the present invention, a kind of steam treatment method embodiment of cooking apparatus is provided, it should be noted that
Step shown in the flowchart of the accompanying drawings can execute in a computer system such as a set of computer executable instructions, and
It, in some cases, can be to be different from sequence execution institute herein and although logical order is shown in flow charts
The step of showing or describing.
Fig. 1 is a kind of steam treatment method flow chart of cooking apparatus according to an embodiment of the present invention, and Fig. 2 is according to this Shen
Please embodiment a kind of rice cooker structure schematic diagram, in Fig. 2, cooking apparatus includes: exhaust valve 3, exhaust valve top is arranged in
Steam Recovery mechanism 4, generator (not shown).In conjunction with shown in Fig. 1, the steam treatment method of cooking apparatus includes as follows
Step:
Step S102, if detecting that exhaust valve is exhausted, Steam Recovery mechanism is driven using the steam of exhaust valve discharge
Dynamic generator work.
In a kind of optinal plan, above-mentioned culinary art device can be electric cooker, electric pressure cooking saucepan, health-promotion kettle etc..Above-mentioned cooking pot
The Steam Recovery mechanism and generator that tool includes at least exhaust valve, exhaust valve top is arranged in.Above-mentioned Steam Recovery mechanism can also
To be arranged in exhaust valve lower part or other exhaust positions.
In an alternative embodiment, Steam Recovery mechanism utilizes the steam of exhaust outlet discharge, can convert steam to
Mechanical energy, and generator operation is driven, it produces electricl energy.
Step S104, the power storage that generator is generated to battery, wherein the electric energy of accumulators store is cooking pot
One or more components of tool carry out auxiliary power supply.
In a kind of optinal plan, above-mentioned battery be can be set in cooking apparatus, also can be set outside cooking apparatus.
The electric energy that generator operation generates can be stored in battery, be one or more components inside cooking apparatus
Auxiliary power supply is carried out, to reduce energy consumption.
It should be noted that the electric energy being stored in battery may be any required power supply outside cooking apparatus
Component power supply.
In an alternative embodiment, when electric cooker has steam generation, the Steam Recovery mechanism on exhaust valve top will
Steam can be converted into mechanical energy, and drive generator operation, produce electricl energy.The power storage of generation is in battery, for electric meal
One or more component auxiliary power supplies of pot, to reach energy saving purpose.
In an alternative embodiment, electric cooker, which dashes forward to meet during pot meal, to have a power failure, the electricity being stored in battery
Electric cooker power supply can be continued as, achievees the purpose that not power off culinary art.
Based on the above embodiments of the present application provide scheme, the cooking apparatus using steam treatment method include: exhaust valve,
Steam Recovery mechanism, the generator on exhaust valve top are set, if steam treatment method includes: to detect that exhaust valve is arranged
Gas, Steam Recovery mechanism are worked using the steam drive generator of exhaust valve discharge；The power storage that generator is generated extremely stores
Battery, wherein the electric energy of accumulators store is that one or more components of cooking apparatus carry out auxiliary power supply.Above scheme is based on
Steam Recovery technology can convert mechanical energy for steam by Steam Recovery mechanism and be converted into electric energy, be stored in battery
In, and then the steam of discharge is directly discharged in air, leads during boiling by the cooking apparatus for solving the prior art
The technical issues of causing the wasting of resources.
Optionally, Steam Recovery mechanism is internally provided with wind wheel structure, wherein control Steam Recovery mechanism utilizes exhaust
The steam drive generator work of valve discharge, comprising: steam can be converted to mechanical energy by the wind wheel structure in Steam Recovery mechanism,
Mechanical energy drives generator operation, so that driven generator works.
Fig. 3 is according to a kind of schematic diagram of Steam Recovery mechanism of the embodiment of the present application, as shown in connection with fig. 3, Steam Recovery
Wind wheel structure 41 is equipped with inside mechanism 4, the steam that cooking apparatus generates can drive wind wheel knot, and 41 rotations can be converted to steam
Mechanical energy, mechanical energy drive motor operating, and driven generator produces electricl energy.
Optionally, method further include: cook and completed in the case that power supply automatically powers off in cooking apparatus, battery is to cook
Prepare food utensil as lower component power: exhaust valve, heating element, timing module, decision-making module, display module, communication module and report
Alert module.
There are many power-consuming components, such as exhaust valve, heating element, timing module, decision-making module, display in electric cooker
Module, communication module and alarm module etc..These components cook carry out in or after the completion of cook there is still a need for when heat preservation, also need by
Bolt is inserted in power outlet.In the application, since battery has stored certain electric energy that can be converted by steam,
Therefore battery can power for above-mentioned component, reach energy-efficient purpose.
Optionally, it being internally provided with camera in cooking apparatus, camera has waterproof heat-resisting material and structure,
In, method further include: the food image of the food of cooking apparatus culinary art is acquired by camera；Use convolutional neural networks model
It identifies food image, determines the type of food in food image, wherein in the case where food is the grain of rice, the type packet of the grain of rice
Include at least one following: whole rice is cracked rice and adhesion rice.
In a kind of optinal plan, above-mentioned camera be can be set inside cooking apparatus, also can be set in cooking apparatus
It is external.Certainly, camera also could alternatively be other any image capture devices with camera function.
It should be noted that camera, which can be, has the function of waterproof heat-resisting if it is built-in camera, conveniently exist
It takes pictures in digestion process to the grain of rice.
Convolutional neural networks belong to the learning algorithm for having supervision, are one of deep neural network special circumstances, its phase
Than having many advantages, such as that weight quantity is few, training speed is fast in depth artificial neural network.
Convolutional neural networks mainly consist of three parts, and are input layer, hidden layer and output layer respectively.Wherein, input layer
There was only one layer with output layer, and hidden layer can have multilayer, deep neural network is exactly the neural network of many hidden layers.
The input layer of convolutional neural networks is grain of rice image, is calculated by using convolutional neural networks grain of rice image, by the grain of rice
The grain of rice contour area of image all marks, and then seeks the region area of each profile, realizes whole rice, cracks rice and adhesion rice class
The division of type.
Optionally, food image is identified using convolutional neural networks model, determine the type of food in food image, specifically
It include: to obtain the picture comprising food；Divide picture, obtains multiple sub-pictures；Using convolutional neural networks model treatment multiple
Sub-pictures identify the food in every sub-pictures.
Optionally, it using multiple sub-pictures of convolutional neural networks model treatment, identifies the food in every sub-pictures, wraps
It includes: obtaining multiple sub-pictures；Extract the characteristics of image for the object for including in every sub-pictures；Judge include in every sub-pictures
Whether the characteristics of image of object meets characteristic food item, if met, it is determined that object is food.
In a kind of optinal plan, above-mentioned characteristics of image can be color, texture, the shape etc. of food.
For example, then needing if necessary to the rice region in identification picture to multiple for inputting convolutional neural networks model
Sub-pictures carry out feature extraction, judge the features such as color, texture and the shape of the object for including in every sub-pictures, work as acquisition
Color is white, texture is in sparse vertical and horizontal alternate shape, shape in elliptoid judging result, it is determined that the region is rice area
Domain, to be distinguished with non-rice region.It for another example, is Huang when obtaining color if necessary to the soybean region in identification picture
Color, texture are rare, shape is in spherical judging result, it is determined that the region is soybean region, to distinguish with non-soybean region
It comes.
Optionally, convolutional neural networks model includes at least: input layer, convolutional layer, pond layer, full articulamentum and
Softmax layers, wherein multiple sub-pictures are obtained by input layer.
Convolutional neural networks obtain multiple sub-pictures by input layer, and hidden layer may include convolutional layer, pond layer, Quan Lian
Layer is connect, output layer is softmax layers, using softmax classification function.
Optionally, the characteristics of image for the object for including in every sub-pictures is extracted, comprising: pass through each volume in convolutional layer
The corresponding sub-pictures of product Nuclear receptor co repressor, obtain the feature figure layer for the object that each sub-pictures are included；By pond layer to every height
The feature figure layer for the object that picture is included carries out de-redundancy processing；By at least one full articulamentum, by de-redundancy, treated
Multiple feature figure layers are converted, and the characteristics of image of object is obtained.
Convolutional layer and pond layer can also have a multilayer there are many different combinations, full articulamentum, specific level and
Network depth can be chosen according to actual needs.The number of plies is more, and recognition result is more accurate, and network is more complicated.
Optionally, judge whether the characteristics of image for the object for including in every sub-pictures meets food by softmax layers
Feature, and export judging result.
Output layer uses softmax classification function, classifies to the output result of full articulamentum, judges in sub-pictures
Whether small square dimensions region meets characteristic food item, output whether be food result.
Optionally, after identifying the food in every sub-pictures, the above method further include: will identify that the son of food
Picture carries out contours extract, and sets scheduled background for the region for not identifying food, obtains multiple treated son
Picture；Multiple treated sub-pictures are subjected to split, the food picture after being restored.
In a kind of optinal plan, above-mentioned scheduled background can be the single colors such as black, white.
Behind the feeding ground and the non-food area that identify the small square area in every sub-pictures using convolutional neural networks,
Non-food area in small square area is all set to scheduled background, contours extract is carried out to the food of feeding ground.Then
Each sub-pictures are restored by segmentation sequence, finally obtain the profile of the whole grain of rice.
Optionally, contours extract is carried out in the sub-pictures that will identify that food, and the region for not identifying food is set
It is set to scheduled background, before obtaining multiple treated sub-pictures, method further include: judge to whether there is in multiple sub-pictures
Food；If it does, identifying to the sub-pictures there are food, and determine position of the food in sub-pictures；If do not deposited
There will be no the sub-pictures of food to be set as scheduled background.
To before identifying that the sub-pictures of food are handled, can also prejudge whether there is in each sub-pictures
Food.If there is food, contours extract is carried out to the sub-pictures for identifying food, further determines that food in sub-pictures
Position；If there is no food, then scheduled background directly is set by the sub-pictures, to remove the noise signal in background,
Improve recognition efficiency.
Optionally, multiple treated sub-pictures are being subjected to split, after the food picture after being restored, method is also
Include: the food picture after output reduction, and extracts the food profile in the food picture after reduction；Based on the food after reduction
Food profile in picture, determines the quality parameter of food.
In a kind of optinal plan, the quality parameter of above-mentioned food can be the mass parameters such as broken rice rate, the length-width ratio of food.
In above-mentioned steps, after the food picture after being restored by split, outputs it and extract the food after reduction
Object profile, and then the calculating of broken rice rate, length-width ratio is carried out, to determine the excellent of food.
Optionally, using convolutional neural networks model identify food image, determine food in food image type it
Afterwards, method further include: decision-making module determines cooking data according to the cooking data of setting and the type of food, wherein culinary art number
According to including at least: the heating temperature of the fire data of adding thermal resistance, the evacuation time of exhaust valve and different cooking stages；Based on cooking
Data of preparing food control cooking apparatus cooks food.
In a kind of optinal plan, there is executing agency, such as adding thermal resistance, timing module etc. inside decision-making module.It is above-mentioned
The cooking data of setting can be the preset cooking data of user, for example, mouthfeel and preference (it is partially soft, moderate, partially firmly, boil
Congee, Baoshang isotype).
The type for the food that decision-making module is exported according to convolutional neural networks model is set in conjunction with user preferences, automatic to select
Select cooking method, such as puffed wheat time, the heating temperature of adding thermal resistance, heating time, the evacuation time of exhaust valve, exhaust valve open
Degree and soaking time etc., to obtain optimal cooking method, guarantee the mouthfeel of food, while ensuring that nutrition will not be lost.
Optionally, during being cooked based on cooking data control cooking apparatus to food, method further include: logical
Cross the steam data of the exhaust outlet of Temperature Humidity Sensor detection exhaust valve；The steaming that decision-making module is detected based on Temperature Humidity Sensor
Vapour data obtain feedback information, wherein feedback information is for triggering the start-up operation of Steam Recovery mechanism.
In a kind of optinal plan, above-mentioned Temperature Humidity Sensor can be the sensor with waterproof heat-resisting function.
It should be noted that only steam data are more than certain threshold value, wind wheel could be pushed to rotate.So working as decision-making module
When being greater than steam data threshold based on the steam data that Temperature Humidity Sensor detects, feedback information is just issued, triggering steam returns
Mechanism is received to start to work.
Optionally, in decision-making module according to the cooking data of setting and the type of food, before determining cooking data, method
Further include: decision-making module receives the type of food in the food image of communication module transmission, and receives external interactive interface and connect
The cooking data received.
In a kind of optinal plan, above-mentioned communication module can be wire communication module or wireless communication module, such as wifi
Module.Said external interactive interface can be the display panel for being set to cooking apparatus outer surface, or remote controler.
In practical cooking process, the food type that convolutional neural networks identify is transferred to decision model by communication module
Block, decision-making module can select optimal cooking data in conjunction with the type of user preset cooking data and food.
Optionally, communication module be also used to receive remote server transmission more new command, wherein more new command for pair
The function of cooking apparatus is upgraded.
The constant electric cooker of function certainly will can not meet the ever-increasing user of demand, when there is new functional development to come out
Afterwards, server can by communication module by the operation program transportation of new version to electric cooker, realize it is long-range update, imitate service
Fruit is more preferable.
In a kind of optinal plan, the steam treatment method of above-mentioned cooking apparatus can be executed by electric cooker.Fig. 2 is according to this
Apply for a kind of rice cooker structure schematic diagram of embodiment.As shown in Fig. 2, electricity should be equipped with based on steam recoverable intelligent electric cooker
Rice cooker main body 1, pot cover 2, exhaust valve 3, Steam Recovery mechanism 4, wind wheel 41, camera 5, Temperature Humidity Sensor 6, wifi module 7,
Decision-making module 8, bolt 9 and battery 10.
Firstly, the camera 11 of waterproof heat-resisting function takes pictures to the rice inside electric cooker, convolutional neural networks
To rice picture recognition, a meter kind classification is distinguished, and send result to wifi module 7.Secondly, wifi module 7 is by information solution
Code is simultaneously sent to decision-making module 8, has executing agency such as adding thermal resistance, timing module inside decision-making module 8, and decision-making module 8
According to decoded rice kind information is returned, in conjunction with the preset cooking data of user, intelligent set heating time, temperature, exhaust valve 3
Aperture.Wherein, 8 outer surface of decision-making module is equipped with push-button array, can manually select mouthfeel and preference (it is partially soft, moderate, partially firmly, boil
Congee, Baoshang isotype) setting.Then, the Steam Recovery mechanism 4 on 3 top of exhaust valve is internally provided with wind wheel 5, and wind wheel 5 can
Mechanical energy can be converted by steam, and drives generator operation, is produced electricl energy, and electric energy is stored into battery 10, electric power storage
Pond 10 can additionally power for decision-making module 8 and wifi module 7, complete when cooking, and power supply automatically powers off, and be using battery 10
Keep the temperature decision-making module power supply.Finally, this product is remotely equipped with server, data communication can be carried out for wifi module 7, and ought have
It when new version, is remotely updated for it, keeps service effectiveness more preferable.
In simple terms, the working principle of the application are as follows: camera acquires food image；Convolutional neural networks classification food；
Communication module receives and parses through data；Decision-making module is set according to user and food type determines cooking data；Executing agency
It executes；Temperature Humidity Sensor detecting state；Decision-making module issues feedback information；Exhaust valve upper steam recovering mechanism converts energy
Export electric energy；Battery charging；Completion of cooking automatically powers off；Battery is decision-making module power supply；It completes.
Through the above scheme, include: exhaust valve using the cooking apparatus of steam treatment method, exhaust valve top is set
Steam Recovery mechanism, generator, if steam treatment method includes: to detect that exhaust valve is exhausted, Steam Recovery mechanism benefit
The steam drive generator work being discharged with exhaust valve；By the power storage of generator generation to battery, wherein battery is deposited
The electric energy of storage is that one or more components of cooking apparatus carry out auxiliary power supply.Above scheme is based on Steam Recovery and rice kind identifies
Technology can convert mechanical energy for steam by Steam Recovery mechanism and be converted into electric energy, be stored in battery, pass through people
Work intelligence convolutional neural networks recognizer carries out the classification of rice kind according to grain of rice image, and then solves the culinary art of the prior art
Utensil the technical issues of being directly discharged in air by the steam of discharge, lead to the wasting of resources, makes simultaneously during boiling
The food more nutrition that electric rice cooker goes out is palatable, more intelligent and humanized.
Embodiment 2
According to embodiments of the present invention, a kind of cooking apparatus is provided, still as shown in Fig. 2, the cooking apparatus includes:
Exhaust valve 3, for being vented.
In a kind of optinal plan, above-mentioned culinary art device can be electric cooker, electric cooker.
Temperature and humidity sensor 6, for incuding whether exhaust valve is exhausted.
The Steam Recovery mechanism 4 on exhaust valve top is set, in the case where sensing that exhaust valve is exhausted, benefit
The steam drive generator work being discharged with exhaust valve.
Since exhaust valve top is equipped with Steam Recovery mechanism, mechanical energy can be converted by steam, and drive power generation
Machine operating, produces electricl energy.
Battery 10, connect with generator, for storing the electric energy of generator generation, wherein the electric energy of accumulators store
Auxiliary power supply is carried out for one or more components of cooking apparatus.
In a kind of optinal plan, above-mentioned battery be can be set in cooking apparatus, also can be set outside cooking apparatus.
The electric energy that generator operation generates can be stored in battery, be one or more components inside cooking apparatus
Auxiliary power supply is carried out, to reduce energy consumption.
It should be noted that the electric energy being stored in battery may be any required power supply outside cooking apparatus
Component power supply.
Based on the scheme that the above embodiments of the present application provide, cooking apparatus, comprising: exhaust valve, for being vented；Temperature and humidity sense
Device is answered, for incuding whether exhaust valve is exhausted；The Steam Recovery mechanism on exhaust valve top is set, in the row of sensing
In the case that air valve is exhausted, worked using the steam drive generator of exhaust valve discharge；Battery is connect with generator,
For storing the electric energy of generator generation, wherein the electric energy of accumulators store is that one or more components of cooking apparatus carry out
Auxiliary power supply.Above scheme is based on Steam Recovery technology, can convert mechanical energy for steam by Steam Recovery mechanism and turn
Electric energy is turned to, is stored in battery, and then solves the cooking apparatus of the prior art during boiling, by the steaming of discharge
The technical issues of vapour is directly discharged in air, leads to the wasting of resources.
Optionally, Steam Recovery mechanism is internally provided with wind wheel structure, and steam can be converted to mechanical energy by wind wheel structure,
Wherein, mechanical energy drives generator operation, so that driven generator works.
In above-mentioned steps, the steam that cooking apparatus generates can drive wind wheel structure to rotate, and steam can be converted to machinery
Can, mechanical energy drives motor operating, and driven generator produces electricl energy.
Optionally, cooking apparatus further includes such as lower component: heat preservation component, decision-making module, display module, leads to timing module
Believe module and alarm module, wherein cook and completed in the case that power supply automatically powers off in cooking apparatus, battery is cooking pot
One or more components of tool are powered.
There are many power-consuming components, such as exhaust valve, heating element, timing module, decision-making module, display in electric cooker
Module, communication module and alarm module etc..These components cook carry out in or after the completion of cook there is still a need for when heat preservation, also need by
Bolt is inserted in power outlet.In the application, since battery has stored certain electric energy that can be converted by steam,
Therefore battery can power for above-mentioned component, reach energy-efficient purpose.
Optionally, it being internally provided with camera in cooking apparatus, camera has waterproof heat-resisting material and structure,
In, camera acquires the food image of the food of cooking apparatus culinary art, and identifies food image by convolutional neural networks model
To determine the type of food in food image, wherein in the case where food is the grain of rice, the type of the grain of rice include it is following at least it
One: whole rice is cracked rice and adhesion rice.
In a kind of optinal plan, above-mentioned camera be can be set inside cooking apparatus, also can be set in cooking apparatus
It is external.Certainly, camera also could alternatively be other any image capture devices with camera function.
It should be noted that camera, which can be, has the function of waterproof heat-resisting if it is built-in camera, conveniently exist
It takes pictures in digestion process to the grain of rice.
Convolutional neural networks belong to the learning algorithm for having supervision, are one of deep neural network special circumstances, its phase
Than having many advantages, such as that weight quantity is few, training speed is fast in depth artificial neural network.
Convolutional neural networks mainly consist of three parts, and are input layer, hidden layer and output layer respectively.Wherein, input layer
There was only one layer with output layer, and hidden layer can have multilayer, deep neural network is exactly the neural network of many hidden layers.
The input layer of convolutional neural networks is grain of rice image, is calculated by using convolutional neural networks grain of rice image, by the grain of rice
The grain of rice contour area of image all marks, and then seeks the region area of each profile, realizes whole rice, cracks rice and adhesion rice class
The division of type.
Optionally, decision-making module is used to determine cooking data according to the cooking data of setting and the type of food, wherein
Cooking data includes at least: the heating temperature of the fire data of adding thermal resistance, the evacuation time of exhaust valve and different cooking stages.
In a kind of optinal plan, there is executing agency, such as adding thermal resistance, timing module etc. inside decision-making module.It is above-mentioned
The cooking data of setting can be the preset cooking data of user.
The type for the food that decision-making module is exported according to convolutional neural networks model sets in conjunction with user, automatically selects and cook
Prepare food mode, for example, the puffed wheat time, the heating temperature of adding thermal resistance, heating time, the evacuation time of exhaust valve, exhaust valve opening and
Soaking time etc. guarantees the mouthfeel of food to obtain optimal cooking method, while ensuring that nutrition will not be lost.
Optionally, interactive interface is arranged in the outer surface of cooking apparatus, for receiving externally input cooking data.
In a kind of optinal plan, above-mentioned interactive interface can be the display panel for being set to cooking apparatus outer surface, can also
Think remote controler.
Optionally, above-mentioned communication module is connected between camera and decision-making module, for by food in food image
Type transfers are to decision-making module.
In a kind of optinal plan, above-mentioned communication module can be wire communication module or wireless communication module, such as wifi
Module.
In practical cooking process, the food type that convolutional neural networks identify is transferred to decision model by communication module
Block, decision-making module can select optimal cooking data in conjunction with the type of user preset cooking data and food.
Optionally, communication module be also used to receive remote server transmission more new command, wherein more new command for pair
The function of cooking apparatus is upgraded.
The constant electric cooker of function certainly will can not meet the ever-increasing user of demand, when there is new functional development to come out
Afterwards, server can by communication module by the operation program transportation of new version to electric cooker, realize it is long-range update, imitate service
Fruit is more preferable.
It should be noted that the optional or preferred embodiment of the present embodiment may refer to the associated description in embodiment 1,
But it is not limited only to 1 disclosure of that of embodiment, details are not described herein.
Embodiment 3
According to embodiments of the present invention, a kind of storage medium is provided, storage medium includes the program of storage, wherein in journey
Equipment executes the steam treatment method of the cooking apparatus in embodiment 1 where controlling storage medium when sort run.
Embodiment 4
According to embodiments of the present invention, a kind of processor is provided, processor is for running program, wherein when program is run
Execute the steam treatment method of the cooking apparatus in embodiment 1.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In the above embodiment of the invention, it all emphasizes particularly on different fields to the description of each embodiment, does not have in some embodiment
The part of detailed description, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed technology contents can pass through others
Mode is realized.Wherein, the apparatus embodiments described above are merely exemplary, such as the division of unit, can be one kind
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of unit or module,
It can be electrical or other forms.
Unit may or may not be physically separated as illustrated by the separation member, shown as a unit
Component may or may not be physical unit, it can and it is in one place, or may be distributed over multiple units
On.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
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.
It, can if integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product
To be stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention substantially or
Say that all or part of the part that contributes to existing technology or the technical solution can embody in the form of software products
Out, which is stored in a storage medium, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of step of each embodiment device of the present invention
Suddenly.And storage medium above-mentioned includes: USB flash disk, read-only memory (ROM, Read-Only Memory), random access memory
The various media that can store program code such as (RAM, Random Access Memory), mobile hard disk, magnetic or disk.
The above is only the preferred embodiment of the present invention, it is noted that those skilled in the art are come
It says, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications also should be regarded as
Protection scope of the present invention.
Claims (18)
1. a kind of steam treatment method, the cooking apparatus using the steam treatment method includes: exhaust valve, is arranged in the row
The Steam Recovery mechanism on air valve top, generator, wherein the described method includes:
If detecting that the exhaust valve is exhausted, the Steam Recovery mechanism utilizes the steam drive of exhaust valve discharge
The generator work；
The power storage that the generator is generated is to battery, wherein the electric energy of the accumulators store is the cooking pot
One or more components of tool carry out auxiliary power supply.
2. the method according to claim 1, wherein the Steam Recovery mechanism is internally provided with wind wheel knot
Structure, wherein control generator described in steam drive of the Steam Recovery mechanism using exhaust valve discharge and work, comprising:
The steam can be converted to mechanical energy by the wind wheel structure in the Steam Recovery mechanism, and the mechanical energy drives the hair
Motor operating, so that the generator is driven to work.
3. the method according to claim 1, wherein the method also includes: cooked in the cooking apparatus
At in the case that power supply automatically powers off, the battery is the cooking apparatus as lower component is powered: exhaust valve, heating part
Part, timing module, decision-making module, display module, communication module and alarm module.
4. the method according to claim 1, which is characterized in that be arranged inside the cooking apparatus
There is camera, the camera has waterproof heat-resisting material and structure, wherein the method also includes:
The food image of the food of the cooking apparatus culinary art is acquired by the camera；
The food image is identified using convolutional neural networks model, determines the type of food in the food image, wherein
In the case that the food is the grain of rice, the type of the grain of rice includes at least one following: whole rice is cracked rice and adhesion rice.
5. according to the method described in claim 4, it is characterized in that, identifying the food figure using convolutional neural networks model
Picture determines in the food image after the type of food, the method also includes:
The decision-making module determines cooking data according to the cooking data of setting and the type of the food, wherein the culinary art
Data include at least: the heating temperature of the fire data of adding thermal resistance, the evacuation time of the exhaust valve and different cooking stages；
The cooking apparatus is controlled based on the cooking data to cook the food.
6. according to the method described in claim 5, it is characterized in that, controlling the cooking apparatus pair based on the cooking data
During the food is cooked, the method also includes:
The steam data of the exhaust outlet of the exhaust valve are detected by Temperature Humidity Sensor；
The steam data that the decision-making module is detected based on the Temperature Humidity Sensor obtain feedback information, wherein described anti-
Feedforward information is started to work for triggering the Steam Recovery mechanism.
7. according to the method described in claim 4, it is characterized in that, in the decision-making module according to the cooking data of setting and institute
The type for stating food, before determining cooking data, the method also includes:
The decision-making module receives the type of food in the food image of the communication module transmission, and receives external friendship
The cooking data that mutual interface receives.
8. according to the method described in claim 3, it is characterized in that, the communication module is also used to receive remote server transmission
More new command, wherein the more new command is for upgrading the function of the cooking apparatus.
9. a kind of cooking apparatus, comprising:
Exhaust valve, for being vented；
Temperature and humidity sensor, for incuding whether the exhaust valve is exhausted；
The Steam Recovery mechanism on the exhaust valve top is set, for sensing the case where exhaust valve is exhausted
Under, it is worked using the steam drive generator of exhaust valve discharge；
Battery is connect with the generator, the electric energy generated for storing the generator, wherein the accumulators store
Electric energy be the cooking apparatus one or more components carry out auxiliary power supply.
10. cooking apparatus according to claim 9, which is characterized in that the Steam Recovery mechanism is internally provided with wind
The steam can be converted to mechanical energy by wheel construction, the wind wheel structure, wherein the mechanical energy drives the generator fortune
Turn, so that the generator is driven to work.
11. cooking apparatus according to claim 9, which is characterized in that the cooking apparatus further includes such as lower component: heat preservation
Component, timing module, decision-making module, display module, communication module and alarm module, wherein cooked in the cooking apparatus
At in the case that power supply automatically powers off, the battery is that the component of the cooking apparatus is powered.
12. cooking apparatus according to claim 9, which is characterized in that it is internally provided with camera in the cooking apparatus,
The camera has waterproof heat-resisting material and structure, wherein the camera acquires the food of the cooking apparatus culinary art
Food image, and the food image is identified to determine the class of food in the food image by convolutional neural networks model
Type, wherein in the case where the food is the grain of rice, the type of the grain of rice includes at least one following: whole rice is cracked rice and glued
Even rice.
13. cooking apparatus according to claim 11, which is characterized in that the decision-making module is used for the culinary art according to setting
The type of data and the food, determines cooking data, wherein the cooking data includes at least: the heating number of adding thermal resistance
According to the evacuation time of the, exhaust valve and the heating temperature of different cooking stages.
14. cooking apparatus according to claim 13, which is characterized in that interaction circle is arranged in the outer surface of the cooking apparatus
Face, for receiving externally input cooking data.
15. cooking apparatus according to claim 11, which is characterized in that the communication module is connected to camera and described
Between decision-making module, for giving the type transfers of food in the food image to the decision-making module.
16. cooking apparatus according to claim 11, which is characterized in that the communication module is also used to receive remote service
The more new command of device transmission, wherein the more new command is for upgrading the function of the cooking apparatus.
17. a kind of storage medium, which is characterized in that the storage medium includes the program of storage, wherein run in described program
When control the storage medium where equipment perform claim require any one of 1 to 8 described in cooking apparatus steam treatment
Method.
18. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit require any one of 1 to 8 described in cooking apparatus steam treatment method.
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