CN114690655B - Method for realizing intelligent DIY of Sichuan dishes based on cooking machine - Google Patents
Method for realizing intelligent DIY of Sichuan dishes based on cooking machine Download PDFInfo
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- CN114690655B CN114690655B CN202210176823.4A CN202210176823A CN114690655B CN 114690655 B CN114690655 B CN 114690655B CN 202210176823 A CN202210176823 A CN 202210176823A CN 114690655 B CN114690655 B CN 114690655B
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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
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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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
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2643—Oven, cooking
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a method for realizing intelligent DIY of Sichuan dishes based on a cooker, and belongs to the technical field of cooking equipment. According to the invention, based on the customized cooking requirements of food materials, matching calculation is carried out on any two main materials and auxiliary materials through a system database menu, and the menu is recommended to a user in a targeted manner through specific limiting conditions, so that the customized requirements of the main materials and the auxiliary materials are met; meanwhile, if the user is not satisfied with the menu, the invention is also provided with a custom cooking mode, and the menu is recorded into a menu of custom cooking. The invention simultaneously realizes two DIY functions of matching food materials of the cooker and custom cooking.
Description
Technical Field
The invention belongs to the technical field of cooking equipment, and relates to a method for realizing intelligent DIY of Sichuan dishes based on a dish frying machine.
Background
With the increasing level of modern living, it is increasingly desirable to relieve from the complex and repetitive household labor. For decades, home appliances such as air conditioners, refrigerators and washing machines are driven into thousands of households, and the operation modes are more and more intelligent. However, in the kitchen, there is still a lack of a more intelligent cooker. The stir-frying machine on the market is too stiff, can only finish fixed dish type of procedure, and can not carry out innovation and DIY function realization.
Sichuan dishes are popular as one of the eight dishes, but most people do not have an opportunity to learn to cook because of the busy daily work. Therefore, on the basis of the existing cooking machine, a method for realizing intelligent DIY of the Sichuan dishes by combining artificial intelligence and big data is researched, and the method has urgent practicability and considerable economic value.
Disclosure of Invention
Aiming at the defects existing in the background technology, the invention provides a method for realizing intelligent DIY of Sichuan dishes based on a cooker, which is characterized in that various Sichuan dish data are decomposed by combining big data, a database is independently constructed, the correlation analysis aiming at the Sichuan dishes is adopted, the food materials in each Sichuan dish are analyzed and compared, and then the intelligent DIY of the Sichuan dishes is realized based on the cooker by combining artificial intelligence.
The technical scheme of the invention is as follows:
a method for realizing intelligent DIY of Sichuan dishes based on a cooker is applied to the cooker, and is characterized by realizing dish DIY function in the cooker by combining artificial intelligence and big data, and specifically comprises the following steps:
step 1, selecting a main material by a user;
step 2, selecting auxiliary materials by a user, and then executing step 3; if no auxiliary materials exist, jumping to the step 4;
step 3, judging whether the main material and the auxiliary material are matched, and if so, executing step 4; if not, returning to the step 2;
step 4, selecting limiting conditions by a user, and matching and displaying at least one cooking method, auxiliary materials and seasoning types in a database according to the limiting conditions;
step 5, selecting one of the displayed cooking methods by a user, and then executing step 6; if the provided cooking method is not satisfied, selecting 'custom cooking', and jumping to the step 8;
step 6, inputting the weight (in g) of the main materials by a user, and calculating the weight of auxiliary materials and seasonings according to the material ratio;
step 7, the user puts the main materials, the auxiliary materials and the seasonings into a cooker according to prompts, the cooker automatically cooks, and the program is ended after the cooking is finished;
step 8, a user draws up vegetable names and manually inputs a cooking method, auxiliary materials and the material ratio of seasonings;
step 9, putting all materials into a cooker, automatically cooking by the cooker, and storing a menu into a custom cooking menu of the cooker; if the same-name dishes exist in the custom cooking menu, if the coverage condition is met, the menu coverage is carried out;
and step 10, popping up a scoring table after automatic cooking is finished, scoring the dishes by a user from the satisfaction degree of five dimensions of sour, sweet, bitter and salty, and ending the program.
Further, in step 3, the mode of judging whether the main material and the auxiliary material are matched is as follows:
calculating a matching index S:when the matching index S is smaller than the matching threshold S', the main material and the auxiliary material are not matched; when the matching index S is more than or equal to the matching threshold S', calculating a confidence index C: />If the confidence coefficient index C is more than or equal to the confidence coefficient threshold C', the main material and the auxiliary material are matched, otherwise, the main material and the auxiliary material are not matched. The matching threshold S 'and the confidence threshold C' are both preset values.
Further, the matching threshold value S '=10% and the confidence threshold value C' =30%.
Further, the limitation conditions in step 4 are: the vegetable type dish is suitable for people (old people, puerpera, infants and the like), cooking time, taste (slightly spicy, sour and hot, spiced and the like), process (small frying, roasting, boiling, frying and the like) and manufacturing difficulty (primary, medium and high grade).
Further, in step 4, the database is formed by recipes, and the tag of each recipe includes: vegetable name, main material, auxiliary material, ingredients, vegetables, suitable crowd, vegetables, manufacturing difficulty, cooking time, taste and process.
Further, the coverage conditions in step 11 are: and when the average score of the second cooking is larger than that of the first cooking and more than two dimension scores are larger than that of the first cooking, covering the menu.
The invention has the advantages that: the invention has the advantages that the customized cooking requirement of the cooker based on food materials is firstly provided, matching calculation is carried out on any two main materials and auxiliary materials through a system database menu, and the menu is recommended to a user in a directional manner through specific limiting conditions, so that the customized requirement of the main materials and the auxiliary materials is met. Meanwhile, if the user is not satisfied, the invention firstly proposes a self-defined cooking mode which is not available in the conventional market cooking machine, the mode can enable a user to cook by himself, the user can give the cooking machine to cook by himself only by inputting a name, materials and a cooking method, the menu is input into a menu in the self-defined cooking mode, and after cooking is completed, the satisfaction degree scoring of five dimensions of sour, sweet, bitter, spicy and salty is firstly proposed for the menu. Meanwhile, the matching index and the confidence index are applied to the matching degree of the menu food materials for the first time. Finally, the invention simultaneously realizes two DIY functions of matching food materials of the cooker and custom cooking.
Drawings
Fig. 1 is a cooking flow chart.
Fig. 2 is a custom cooking flow diagram.
Detailed Description
The present invention is further described below with reference to the accompanying drawings and examples in order to facilitate understanding by those skilled in the art.
The matching index calculation is carried out on the premise of a database which is independently constructed, and takes beef as a main material and bean curd as an auxiliary material as an example, and the matching index calculation is specifically described as follows:
in connection with fig. 1: the technical method for the cooking machine of the embodiment comprises the following steps:
step 1, selecting beef as a main material by a user;
step 2, selecting auxiliary material bean curd by a user;
and 3, judging whether the main material beef and the auxiliary material bean curd are matched, wherein S=0.2, C=0.3, and the beef and the bean curd are matched when S > S 'and C > C'.
Step 4, selecting a process as follows: parching, and selecting other limitation conditions. The cooking method and the material ratio are matched and displayed in a database according to the limiting condition 'stir-fry'.
Step 5, selecting the method for making the tofu pudding beef by the user;
step 6, inputting 100 grams of beef by a user, and calculating the required using amount of other seasonings according to the selected material ratio: 100g of beef, 120g of bean curd, 4g of pepper, 4g of dried chilli, 12g of onion, 4g of green onion, 40g of soup stock, 12g of thick broad-bean sauce, 6g of light soy sauce, 6g of oil, 4g of starch and 4g of vinegar.
And 7, the main materials, the auxiliary materials and the seasonings are put into a cooker according to prompts by a user, the cooker automatically cooks, and the program is ended after the cooking is finished.
In connection with fig. 2: the technical method for the cooking machine of the embodiment comprises the following steps:
step 1, selecting beef as a main material by a user;
step 2, selecting auxiliary material bean curd by a user;
and 3, judging whether the main material beef and the auxiliary material bean curd are matched, wherein S=0.2, C=0.3, and the beef and the bean curd are matched when S > S 'and C > C'.
Step 4, selecting a process as follows: parching, and selecting other limitation conditions. The cooking method and the material ratio are matched and displayed in a database according to the limiting condition 'stir-fry'.
And 5, selecting 'custom cooking' by a user.
Step 6, the user draws up the vegetable names, and manually inputs the weight and cooking method of each material;
and 7, placing all materials into a cooker, automatically cooking, and storing the materials into a custom cooking system menu of the cooker after cooking.
And step 8, popping up a scoring table after automatic cooking is finished, scoring the dishes by a user from the satisfaction degree of five dimensions of sour, sweet, bitter and salty, and ending the program.
It should be noted that, calculating the dish matching index, the confidence coefficient index, the matching threshold and the confidence coefficient threshold are not limited to the above method, and the above method is only one embodiment of the matching index, the confidence coefficient index, the matching threshold and the confidence coefficient threshold according to the present invention, and other matching indexes, confidence coefficient indexes, matching thresholds and confidence coefficient thresholds may also be adopted.
The above is a further detailed description of the present invention in connection with the specific preferred embodiments, and it should not be taken as limiting the practice of the invention to the above description. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the inventive concept, and are to be considered as being within the scope of protection defined by the claims presented in this patent.
Claims (4)
1. A method for realizing intelligent DIY of Sichuan dishes based on a cooker is characterized by realizing dish DIY function in the cooker by combining artificial intelligence and big data, and specifically comprises the following steps:
step 1, selecting a main material by a user;
step 2, selecting auxiliary materials by a user, and then executing step 3; if no auxiliary materials exist, jumping to the step 4;
step 3, judging whether the main material and the auxiliary material are matched, and if so, executing step 4; if not, returning to the step 2; the mode for judging whether the main materials and the auxiliary materials are matched is as follows:
calculating a matching index S:when the matching index S is smaller than the matching threshold S', the main material and the auxiliary material are not matched; when the matching index S is more than or equal to the matching threshold S', calculating a confidence index C: />If the confidence coefficient index C is more than or equal to the confidence coefficient threshold C ', matching the main material with the auxiliary material, otherwise, not matching the main material with the auxiliary material, wherein the matching threshold S ' is 10%, and the confidence coefficient threshold C ' is 30%;
step 4, selecting limiting conditions by a user, and matching and displaying at least one cooking method, auxiliary materials and seasoning types in a database according to the limiting conditions;
step 5, selecting one of the displayed cooking methods by a user, and then executing step 6; if the provided cooking method is not satisfied, selecting 'custom cooking', and jumping to the step 8;
step 6, inputting the weight of the main materials by a user, and calculating the weight of auxiliary materials and seasonings according to the material ratio;
step 7, the user puts the main materials, the auxiliary materials and the seasonings into a cooker according to prompts, the cooker automatically cooks, and the program is ended after the cooking is finished;
step 8, a user draws up vegetable names and manually inputs a cooking method, auxiliary materials and the material ratio of seasonings;
step 9, putting all materials into a cooker, automatically cooking by the cooker, and storing a menu into a custom cooking menu of the cooker; if the same-name dishes exist in the custom cooking menu, if the coverage condition is met, the menu coverage is carried out;
and step 10, popping up a scoring table after automatic cooking is finished, scoring the dishes by a user from the satisfaction degree of five dimensions of sour, sweet, bitter and salty, and ending the program.
2. The method for realizing intelligent DIY of Sichuan dishes based on a cooker as claimed in claim 1, wherein the limiting conditions in the step 4 are as follows: vegetable type, suitable crowd, cooking time, taste, technology and manufacturing difficulty.
3. The method for realizing intelligent DIY of Sichuan dishes based on a cooker according to claim 1, wherein the database in the step 4 is composed of menus, and the label of each menu comprises: vegetable name, main material, auxiliary material, ingredients, vegetables, suitable crowd, vegetables, manufacturing difficulty, cooking time, taste and process.
4. The method for realizing intelligent DIY of Sichuan dishes based on a cooker as claimed in claim 1, wherein the coverage condition in the step 9 is as follows: and when the average score of the second cooking is larger than that of the first cooking and more than two dimension scores are larger than that of the first cooking, covering the menu.
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WO2015161710A1 (en) * | 2014-04-24 | 2015-10-29 | 苏州西顿家用自动化有限公司 | Smart stove and culinary program inputting method thereof |
CN108897245A (en) * | 2018-07-16 | 2018-11-27 | 华中农业大学 | A kind of intelligent cooking system |
CN112099382A (en) * | 2020-09-15 | 2020-12-18 | 深圳拓邦股份有限公司 | Control method and device of intelligent cooker and cooker |
CN112330399A (en) * | 2020-10-30 | 2021-02-05 | 广州富港万嘉智能科技有限公司 | Intelligent cooking method convenient for sharing user-defined dishes, computer-readable storage medium and intelligent cooking equipment |
CN214484326U (en) * | 2020-12-29 | 2021-10-26 | 佛山市顺德区美的电热电器制造有限公司 | Throw material device, pot cover subassembly and cooking utensil |
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Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2015161710A1 (en) * | 2014-04-24 | 2015-10-29 | 苏州西顿家用自动化有限公司 | Smart stove and culinary program inputting method thereof |
CN108897245A (en) * | 2018-07-16 | 2018-11-27 | 华中农业大学 | A kind of intelligent cooking system |
CN112099382A (en) * | 2020-09-15 | 2020-12-18 | 深圳拓邦股份有限公司 | Control method and device of intelligent cooker and cooker |
CN112330399A (en) * | 2020-10-30 | 2021-02-05 | 广州富港万嘉智能科技有限公司 | Intelligent cooking method convenient for sharing user-defined dishes, computer-readable storage medium and intelligent cooking equipment |
CN214484326U (en) * | 2020-12-29 | 2021-10-26 | 佛山市顺德区美的电热电器制造有限公司 | Throw material device, pot cover subassembly and cooking utensil |
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