CN110179319A - A kind of method and device of intelligent cooking - Google Patents
A kind of method and device of intelligent cooking Download PDFInfo
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- CN110179319A CN110179319A CN201910426486.8A CN201910426486A CN110179319A CN 110179319 A CN110179319 A CN 110179319A CN 201910426486 A CN201910426486 A CN 201910426486A CN 110179319 A CN110179319 A CN 110179319A
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Classifications
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J27/00—Cooking-vessels
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J36/00—Parts, details or accessories of cooking-vessels
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
- B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
- B25J11/00—Manipulators not otherwise provided for
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47J—KITCHEN EQUIPMENT; COFFEE MILLS; SPICE MILLS; APPARATUS FOR MAKING BEVERAGES
- A47J2201/00—Devices having a modular construction
Abstract
The main material composition and its content that the invention discloses a kind of cooking robots to detect food materials in cooking apparatus by the way that temperature-humidity sensor, optical sensor and image collecting device are arranged in cooking apparatus；According to the main material composition and its content, controls the cooking apparatus and cooked.According to the technical solution of the present invention, the content of the material composition of each food can be made to reach the corresponding content of preset culinary art taste, meet the individual demand of user, while the operation of user can be simplified, to promote the usage experience of user.
Description
Technical field
The present invention relates to unmanned kitchen automation control area more particularly to a kind of method and devices of intelligent cooking.
Background technique
Currently, user is using cooking apparatus when being cooked, due to existing cooking apparatus can not concentration to food into
Row detection and quantization, so it is generally necessary to user tastes the adjustment for carrying out food concentration, such as adjustment culinary art by experience or in person
The sugariness of food, salinity etc., for user insufficient for experience, cooking process is not easy to grasp, and influences the usage experience of user.
Currently, user when using traditional cooking machine, is cooked due to that can not be known in advance as a result, needing in use
Do many trials.For example, needing to be pre-adjusted addition food when user wants to adjust the density of drink according to the mouthfeel of oneself
The dosage of material and water, and this needs the use experience of user.For example, matching when user wants various food, the mouthfeel of food is adjusted
When, it is also desirable to a large amount of use experience, for ordinary user, operation is more difficult.In addition, the different food materials under same function
Processing, required processing technology also can be different.Common cooking machine in the prior art will not be according to food materials adjusting process.Than
Such as: cooking soya-bean milk with wet beans and dry beans, most suitable process flow is different.Such as: production rice paste, what user may be added
Raw rice, the cooked rice that may be added, most suitable process flow is also different.Therefore, cooking machine in the prior art with
And cooking method, be not able to satisfy the routine use demand of user, based on its can only according to the technique processed food of factory setting,
Technique adjustment cannot be carried out according to the actual situation, therefore haves the defects that bad adaptability.
When using unmanned kitchen, existing cooking robot generallys use constant digital menu and cooks to food materials
Prepare food, however, be same food materials immediately, the different places of production, different its food materials of preserving type component content be also different
, different from the mode manually cooked, cook can go to judge by eyes the duration and degree of heating that culinary art how is dynamically adjusted when cooking and
Process, and cooking robot cannot adjust cooking process according to the component content difference of food materials, this is this field scientific and technical personnel urgency
Problem to be solved.
Summary of the invention
The present invention is directed at least solve the technical problems existing in the prior art.For this purpose, the invention discloses a kind of intelligence
The method of culinary art, cooking robot in cooking apparatus by being arranged temperature, humidity sensor, gravity sensor, optics sense
Survey the main material composition and its content of food materials in device and image collecting device detection cooking apparatus；According to the main material composition and
Its content controls the cooking apparatus and is cooked.
Further, the control cooking apparatus, which cook, further comprises: being passed by non-contact temperature
Sensor detects food materials temperature, if the internal temperature of detection food materials is less than the half of food materials surface temperature, adjusts cooking ware
Stir-fry frequency, accelerates stir-frying speed；The water content feelings of food materials are detected by the humidity sensor and the gravity sensor
Condition, if detection food materials water content is less than preset threshold, judgement needs plus water；Pass through the seasoning in hyperspectral analysis cooking apparatus
Product ingredient and content are compared according to the flavouring content analyzed and the flavoring ingredients content in digital menu, are carried out
The plus-minus of seasoning；Monitoring culinary art duration and the duration and degree of heating, dynamic adjust taking the dish out of the pot opportunity for vegetable；In intelligence is arranged in intelligent cooking equipment
Can food detector, the Intelligent food detector includes polarity carcinogen sensor, can continuity detection intelligent cooking set
The particular matter component content of standby interior a variety of vegetables is transmitting data to front end circle by wireless (bluetooth) before vegetable takes the dish out of the pot
Face facilitates eater to inquire the data of vegetable.
Further, according to digital menu it is pre-set culinary art taste corresponding to vegetable flavouring content model
It encloses；Cooking robot receives the taste requirements of front end consumer feedback, adjusts flavouring according to the taste requirements of feedback and is eating
Content in object is in corresponding content range.
Further, it obtains the vegetable image information in cooking apparatus in real time by Image Acquisition, is extracted image
Color is divided into several color intervals as a kind how main color by color characteristic, for filtering out part vegetable, according to being mentioned
The main tone of image is taken to utilize the color characteristic of image to carry out image classification, with the primary color of image to SVM classifier
It is indexed, and according to the mapping relations of the image of the vegetable of vector machine SVM training and vegetable taste, cooking robot is according to institute
The mapping relations stated control the cooking apparatus and are cooked.
Further, established in cooking robot database the nutritional ingredient of vegetable food materials with cooking process at any time
Between variation relation, receive the nutritional requirement of front end consumer feedback, cooking robot is dynamic according to the selected nutritional requirement of user
State adjusts cooking process.
The invention also discloses a kind of devices of intelligent cooking, comprising: front end dish ordering terminal, cooking robot and server
Database, wherein cooking robot in cooking apparatus by being arranged temperature, humidity sensor, gravity sensor, optics sense
Survey the main material composition and its content of food materials in device and image collecting device detection cooking apparatus；According to the main material composition and
Its content controls the cooking apparatus and is cooked.
Further, feedback module, according to digital menu the seasoning of vegetable corresponding to pre-set culinary art taste
The content range of product；Cooking robot receives the taste requirements of front end consumer feedback, is adjusted according to the taste requirements of feedback
Content of the flavouring in food is in corresponding content range.
Further, cooking robot includes image capture module, is obtained in cooking apparatus in real time by Image Acquisition
Vegetable image information, be extracted the color characteristic of image, color be divided into several color intervals as a kind how main color,
For filtering out part vegetable, the color characteristic of image is utilized to carry out image classification according to the main tone of extracted image,
SVM classifier is indexed with the primary color of image, and the image and vegetable taste of the vegetable according to vector machine SVM training
Mapping relations, cooking robot controls the cooking apparatus according to the mapping relations and cooked.
Further, established in cooking robot database the nutritional ingredient of vegetable food materials with cooking process at any time
Between variation relation, receive the nutritional requirement of front end consumer feedback, cooking robot is dynamic according to the selected nutritional requirement of user
State adjusts cooking process.
Further, it further comprises cooking robot judgment module that the control cooking apparatus, which carries out culinary art,
Food materials temperature is detected by non-contact temperature sensor, if the internal temperature of detection food materials is less than the one of food materials surface temperature
Half, then the stir-frying frequency of cooking ware is adjusted, stir-frying speed is accelerated；The water content situation of food materials is detected by humidity sensor,
If detecting food materials water content is less than preset threshold, judgement needs plus water；Pass through the flavouring in hyperspectral analysis cooking apparatus
Ingredient and content are compared according to the flavouring content analyzed and the flavoring ingredients content in digital menu, are adjusted
The plus-minus of taste substance；Monitoring culinary art duration and the duration and degree of heating, dynamic adjust taking the dish out of the pot opportunity for vegetable.Wherein, it is set in intelligent cooking equipment
Set Intelligent food detector, the Intelligent food detector includes polarity carcinogen sensor, can continuity detection intelligence cook
The particular matter component content of a variety of vegetables in equipment of preparing food, before vegetable takes the dish out of the pot before being transmitted data to by wireless (bluetooth)
Interface is held, eater is facilitated to inquire the data of vegetable.
Further, the particular matter include: mycotoxin, aflatoxin, oil oxide, polycyclic aromatic hydrocarbon,
Heavy metal substance.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
The structure shown according to these attached drawings obtains other attached drawings.
Fig. 1 is the flow chart of intelligent cooking method of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description；Obviously, described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments, is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Embodiment one
A kind of method of intelligent cooking as described in Figure 1, cooking robot in cooking apparatus by being arranged temperature, dry and wet
Spend sensor, gravity sensor, optical sensor and image collecting device detection cooking apparatus in food materials main material composition and
Its content；According to the main material composition and its content, controls the cooking apparatus and cooked.
Further, the control cooking apparatus, which cook, further comprises: being passed by non-contact temperature
Sensor detects food materials temperature, if the internal temperature of detection food materials is less than the half of food materials surface temperature, adjusts cooking ware
Stir-fry frequency, accelerates stir-frying speed；The water content situation of food materials is detected by humidity sensor, if detection food materials water content is small
In preset threshold, then judgement needs to add water；By the flavouring component and content in hyperspectral analysis cooking apparatus, according to analysis
Flavouring content out is compared with the flavoring ingredients content in digital menu, is seasoned the plus-minus of material；Monitoring culinary art
Duration and the duration and degree of heating, dynamic adjust taking the dish out of the pot opportunity for vegetable；In setting Intelligent food detector, the intelligence in intelligent cooking equipment
Food detector includes polarity carcinogen sensor, is transmitting data to front end by wireless (bluetooth) before vegetable takes the dish out of the pot
Interface facilitates eater to inquire the data of vegetable.
Further, according to digital menu it is pre-set culinary art taste corresponding to vegetable flavouring content model
It encloses；Cooking robot receives the taste requirements of front end consumer feedback, adjusts flavouring according to the taste requirements of feedback and is eating
Content in object is in corresponding content range.
Further, it obtains the vegetable image information in cooking apparatus in real time by Image Acquisition, is extracted image
Color is divided into several color intervals as a kind how main color by color characteristic, for filtering out part vegetable, according to being mentioned
The main tone of image is taken to utilize the color characteristic of image to carry out image classification, with the primary color of image to SVM classifier
It is indexed, and according to the mapping relations of the image of the vegetable of vector machine SVM training and vegetable taste, cooking robot is according to institute
The mapping relations stated control the cooking apparatus and are cooked.
Further, established in cooking robot database the nutritional ingredient of vegetable food materials with cooking process at any time
Between variation relation, receive the nutritional requirement of front end consumer feedback, cooking robot is dynamic according to the selected nutritional requirement of user
State adjusts cooking process.
Further, the particular matter include: mycotoxin, aflatoxin, oil oxide, polycyclic aromatic hydrocarbon,
Heavy metal substance.
Embodiment two
The present embodiment mainly describes the present invention from hardware point of view, provides a kind of device of intelligent cooking, comprising: forward terminal
Dish terminal, cooking robot and server database, wherein cooking robot in cooking apparatus by being arranged temperature, dry and wet
Spend sensor, gravity sensor, optical sensor and image collecting device detection cooking apparatus in food materials main material composition and
Its content；According to the main material composition and its content, controls the cooking apparatus and cooked.
Further, feedback module, according to digital menu the seasoning of vegetable corresponding to pre-set culinary art taste
The content range of product；Cooking robot receives the taste requirements of front end consumer feedback, is adjusted according to the taste requirements of feedback
Content of the flavouring in food is in corresponding content range.
Further, cooking robot includes image capture module, is obtained in cooking apparatus in real time by Image Acquisition
Vegetable image information, be extracted the color characteristic of image, color be divided into several color intervals as a kind how main color,
For filtering out part vegetable, the color characteristic of image is utilized to carry out image classification according to the main tone of extracted image,
SVM classifier is indexed with the primary color of image, and the image and vegetable taste of the vegetable according to vector machine SVM training
Mapping relations, cooking robot controls the cooking apparatus according to the mapping relations and cooked.
Further, established in cooking robot database the nutritional ingredient of vegetable food materials with cooking process at any time
Between variation relation, receive the nutritional requirement of front end consumer feedback, cooking robot is dynamic according to the selected nutritional requirement of user
State adjusts cooking process.
Further, it further comprises cooking robot judgment module that the control cooking apparatus, which carries out culinary art,
Food materials temperature is detected by non-contact temperature sensor, if the internal temperature of detection food materials is less than the one of food materials surface temperature
Half, then the stir-frying frequency of cooking ware is adjusted, stir-frying speed is accelerated；The water content feelings of food materials are detected by humidity sensor
Condition, if detection food materials water content is less than preset threshold, judgement needs plus water；Pass through the seasoning in hyperspectral analysis cooking apparatus
Product ingredient and content are compared according to the flavouring content analyzed and the flavoring ingredients content in digital menu, are carried out
The plus-minus of seasoning；Monitoring culinary art duration and the duration and degree of heating, dynamic adjust taking the dish out of the pot opportunity for vegetable.
The present embodiment selects it to identify system as dish on characteristics of image, since ORB feature has the characteristics that quick
The local image characteristics of system construct bag of feature model.In addition to improving the performance of SVM forecast period, and extract
The color characteristic of image, using color is divided into several color intervals as several main colors, for filtering out part dish.
To reduce the SVM forecast period for being filtered dish, the performance of forecast period is improved.It is equally examining for performance
Consider, ORB feature extraction, with the vocabulary of building to ORB feature carry out quantization and SVM predict the coding of these three steps all
By the way of JNI calling, C++ module is called to handle.Important feature of the color characteristic as image, in the mistake of image classification
Play important role in journey.Have the representation method of the color characteristic of many images at present, as color histogram, color moment,
Color correlogram etc..The color characteristic representation method of these images all produces great influence in many image application fields,
Such as image retrieval, object classification.However the extraction algorithm of these color characteristics all includes a large amount of calculation amount and consumes a large amount of
Memory headroom, very be not suitable for run on the mobile apparatus.It is next sharp that this paper presents the methods for the main tone for extracting image
Image classification is carried out with the color characteristic of image.SVM classifier is indexed with the primary color of image, to reduce the later period
The number of SVM prediction, achievees the effect that performance boost.
Firstly, hsv color space is divided into 10 color intervals herein, each color interval represents a kind of color.So
K-means cluster is extracted and carried out to the color of image afterwards, K is taken 3, each cluster centre is a mass-tone, finally
To 3 primary colors of this image.In dish image classification frame proposed in this paper, by the every of each dish classification
Picture extracts multiple primary colors, chooses primary color of highest 3 colors of the frequency of occurrences as this classification.Thus
Its 3 primary colors are bundled with for each dish.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
It will be understood by those skilled in the art that embodiments herein can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application
Form.It is deposited moreover, the application can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
Although describing the present invention by reference to various embodiments above, but it is to be understood that of the invention not departing from
In the case where range, many changes and modifications can be carried out.Therefore, be intended to foregoing detailed description be considered as it is illustrative and
It is unrestricted, and it is to be understood that following following claims (including all equivalents) is intended to limit spirit and model of the invention
It encloses.The above embodiment is interpreted as being merely to illustrate the present invention rather than limit the scope of the invention.It is reading
After the content of record of the invention, technical staff can be made various changes or modifications the present invention, these equivalence changes and
Modification equally falls into the scope of the claims in the present invention.
Claims (10)
1. a kind of method of intelligent cooking, which is characterized in that cooking robot in cooking apparatus by being arranged temperature, humidity
Sensor, gravity sensor, optical sensor and image collecting device detection cooking apparatus in food materials main material composition and its
Content；According to the main material composition and its content, controls the cooking apparatus and cooked.
2. a kind of method of intelligent cooking as described in claim 1, which is characterized in that the control cooking apparatus carries out
Culinary art further comprises: food materials temperature is detected by non-contact temperature sensor, if the internal temperature of detection food materials is less than food
The half of material surface temperature then adjusts the stir-frying frequency of cooking ware, accelerates stir-frying speed；By the humidity sensor and
The water content situation of the gravity sensor detection food materials judges to need to add if detection food materials water content is less than preset threshold
Water；By the flavouring component and content in hyperspectral analysis cooking apparatus, according to the flavouring content analyzed and digital dish
Flavoring ingredients content in spectrum compares, and is seasoned the plus-minus of material；Monitoring culinary art duration and the duration and degree of heating, dynamic adjust vegetable
Take the dish out of the pot opportunity；In Intelligent food detector is arranged in intelligent cooking equipment, the Intelligent food detector includes that polarity is carcinogenic
Substance sensor, can continuity detection intelligent cooking equipment in a variety of vegetables particular matter component content, take the dish out of the pot it in vegetable
It is preceding that front-end interface is being transmitted data to by wireless (bluetooth), facilitate eater to inquire the data of vegetable.
3. a kind of method of intelligent cooking as claimed in claim 2, which is characterized in that according to digital menu, institute is pre-set
Cook the content range of vegetable flavouring corresponding to taste；Cooking robot receives the taste requirements of front end consumer feedback, root
According to content of the taste requirements adjustment flavouring of feedback in food in corresponding content range.
4. a kind of method of intelligent cooking as claimed in claim 3, which is characterized in that obtain culinary art in real time by Image Acquisition
Vegetable image information in utensil, is extracted the color characteristic of image, and it is how main as kind that color is divided into several color intervals
Color utilized the color characteristic of image to carry out figure according to the main tone of extracted image for filtering out part vegetable
As classification, SVM classifier is indexed with the primary color of image, and according to vector machine SVM training vegetable image with
The mapping relations of vegetable taste, cooking robot control the cooking apparatus according to the mapping relations and are cooked.
5. a kind of method of intelligent cooking as claimed in claim 4, which is characterized in that established in cooking robot database
Changing with time relationship with cooking process for the nutritional ingredient of vegetable food materials, receives the nutritional requirement of front end consumer feedback, fries
Dish robot is according to the selected nutritional requirement dynamic adjustment cooking process of user.
6. a kind of device of intelligent cooking characterized by comprising front end dish ordering terminal, cooking robot and server data
Library, wherein cooking robot in cooking apparatus by being arranged temperature, humidity sensor, gravity sensor, optical sensor
And image collecting device detects the main material composition and its content of food materials in cooking apparatus；According to the main material composition and its contain
Amount, controls the cooking apparatus and is cooked.
7. a kind of device of intelligent cooking as claimed in claim 6, which is characterized in that feedback module, according to digital menu institute
The content range of vegetable flavouring corresponding to pre-set culinary art taste；Cooking robot receives the mouth of front end consumer feedback
Taste requirement adjusts content of the flavouring in food in corresponding content range according to the taste requirements of feedback.
8. a kind of device of intelligent cooking as claimed in claim 7, which is characterized in that image capture module is adopted by image
Collection obtains the vegetable image information in cooking apparatus in real time, is extracted the color characteristic of image, color is divided into several color areas
Between as kind how main color image is utilized according to the main tone of extracted image for filtering out part vegetable
Color characteristic carries out image classification, is indexed with the primary color of image to SVM classifier, and according to vector machine SVM training
Vegetable image and vegetable taste mapping relations, cooking robot controls the cooking apparatus according to the mapping relations
It is cooked.
9. a kind of device of intelligent cooking as claimed in claim 8, which is characterized in that established in cooking robot database
Changing with time relationship with cooking process for the nutritional ingredient of vegetable food materials, receives the nutritional requirement of front end consumer feedback, fries
Dish robot is according to the selected nutritional requirement dynamic adjustment cooking process of user.
10. a kind of device of intelligent cooking as claimed in claim 9, which is characterized in that the control cooking apparatus into
Row culinary art further comprises cooking robot judgment module, detects food materials temperature by non-contact temperature sensor, if detection
The internal temperature of food materials is less than the half of food materials surface temperature, then adjusts the stir-frying frequency of cooking ware, accelerates stir-frying speed；It is logical
The water content situation of the humidity sensor and gravity sensor detection food materials is crossed, if detection food materials water content is less than in advance
If threshold value, then judgement needs to add water；By the flavouring component and content in hyperspectral analysis cooking apparatus, according to what is analyzed
Flavouring content is compared with the flavoring ingredients content in digital menu, is seasoned the plus-minus of material；Monitoring culinary art duration
And the duration and degree of heating, dynamic adjust taking the dish out of the pot opportunity for vegetable；In setting Intelligent food detector, the Intelligent food in intelligent cooking equipment
Detector includes polarity carcinogen sensor, can continuity detection intelligent cooking equipment in a variety of vegetables particular matter ingredient
Content is transmitting data to front-end interface by wireless (bluetooth) before vegetable takes the dish out of the pot, eater is facilitated to inquire the number of vegetable
According to.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110703623A (en) * | 2019-11-06 | 2020-01-17 | 深圳市智谷天厨科技有限公司 | Cooking parameter adjusting method and device, cooking robot and readable storage medium |
| CN111493671A (en) * | 2019-12-27 | 2020-08-07 | 李娟娟 | Instant seasoning platform and method for hot pot with hot pepper bottom |
| CN111966001A (en) * | 2020-08-26 | 2020-11-20 | 北京如影智能科技有限公司 | Method and device for generating digital menu |
| CN112932250A (en) * | 2021-02-20 | 2021-06-11 | 深圳每食乐餐饮管理有限公司 | Control method of cooker, cooker and intelligent kitchen equipment |
| CN112956912A (en) * | 2021-02-20 | 2021-06-15 | 深圳每食乐餐饮管理有限公司 | Cooking machine and cooking method and controller thereof |
| CN113116126A (en) * | 2019-12-30 | 2021-07-16 | 宁波方太厨具有限公司 | Steaming and baking box capable of intelligently drying |
| CN113842057A (en) * | 2021-11-04 | 2021-12-28 | 珠海格力电器股份有限公司 | Cooking detection device and method and cooking equipment |
| WO2022242267A1 (en) * | 2021-05-20 | 2022-11-24 | 佛山市顺德区美的电热电器制造有限公司 | Cooking appliance and operation control method therefor, control apparatus, and readable storage medium |
| WO2023092647A1 (en) * | 2021-11-24 | 2023-06-01 | 江苏大学 | Rapid quantification evaluation method for taste characteristics of fried rice |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104267162A (en) * | 2014-09-03 | 2015-01-07 | 百度在线网络技术（北京）有限公司 | Method, device and system for detecting food |
| CN104873107A (en) * | 2015-05-13 | 2015-09-02 | 广东顺德果儿电器科技有限公司 | Food detection device for electric cooking appliance and electric rice cooker using the food detection device |
| CN204722859U (en) * | 2015-05-13 | 2015-10-28 | 广东顺德果儿电器科技有限公司 | A kind of food checkout gear of electric cooking appliance and the grill pan of use food checkout gear |
| WO2016131109A1 (en) * | 2015-02-20 | 2016-08-25 | Paul Eaton Willett | System to monitor foodstuff cooking |
| CN106679311A (en) * | 2016-09-25 | 2017-05-17 | 万福 | Program-controlled full-automatic cooling and frying integrated machine |
| CN107479406A (en) * | 2016-06-07 | 2017-12-15 | 九阳股份有限公司 | A kind of food cooking method |
| CN107991939A (en) * | 2017-12-27 | 2018-05-04 | 广东美的厨房电器制造有限公司 | Cooking control method and culinary art control device, storage medium and cooking equipment |
| CN108720546A (en) * | 2017-04-25 | 2018-11-02 | 佛山市顺德区美的电热电器制造有限公司 | Control method, control device and the cooking apparatus of cooking apparatus |
-
2019
- 2019-05-20 CN CN201910426486.8A patent/CN110179319A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104267162A (en) * | 2014-09-03 | 2015-01-07 | 百度在线网络技术（北京）有限公司 | Method, device and system for detecting food |
| WO2016131109A1 (en) * | 2015-02-20 | 2016-08-25 | Paul Eaton Willett | System to monitor foodstuff cooking |
| CN104873107A (en) * | 2015-05-13 | 2015-09-02 | 广东顺德果儿电器科技有限公司 | Food detection device for electric cooking appliance and electric rice cooker using the food detection device |
| CN204722859U (en) * | 2015-05-13 | 2015-10-28 | 广东顺德果儿电器科技有限公司 | A kind of food checkout gear of electric cooking appliance and the grill pan of use food checkout gear |
| CN107479406A (en) * | 2016-06-07 | 2017-12-15 | 九阳股份有限公司 | A kind of food cooking method |
| CN106679311A (en) * | 2016-09-25 | 2017-05-17 | 万福 | Program-controlled full-automatic cooling and frying integrated machine |
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