CN115062194A

CN115062194A - Menu recommendation method and device

Info

Publication number: CN115062194A
Application number: CN202210531151.4A
Authority: CN
Inventors: 蒋洪彬; 眭仲冠; 陈瑞; 闾浩; 张卫东
Original assignee: Tineco Intelligent Technology Co Ltd
Current assignee: Tineco Intelligent Technology Co Ltd
Priority date: 2022-05-16
Filing date: 2022-05-16
Publication date: 2022-09-16

Abstract

The application discloses a menu recommendation method and device, wherein electronic equipment scans a food material label of each food material, after food material information of each food material is obtained, when the food material information of at least one food material is different from the food material information of a first menu in a candidate menu, a second menu matched with the food material information of at least one food material is displayed, and the second menu is a menu obtained by adjusting the first menu. The electronic device can be an intelligent cooking device, and can also be a terminal device such as a mobile phone of a user. By adopting the scheme, the electronic equipment automatically adjusts and outputs the first menu according to the food material information without the need of user selection or search, and the recommended second menu is matched with the food material information of the food material purchased by the user, so that the process is simple, and the purpose of accurately recommending the menu is realized.

Description

Menu recommendation method and device

Technical Field

The application relates to the technical field of artificial intelligence, in particular to a menu recommendation method and device.

Background

With the rapid development of artificial intelligence, more and more intelligent machines are applied to the lives of people, such as intelligent cooking equipment and the like. The user utilizes intelligent cooking equipment, can accomplish automatic culinary art process under few participation steps, brings very big facility for cooking the food.

In the prior art, some menus are preset in the intelligent cooking equipment, a user selects or searches the menus from the menus, and the intelligent cooking equipment automatically cooks gourmets according to the menus selected by the user.

In the menu recommending process, the intelligent cooking equipment recommends the menu to the user only according to the selection or search of the user, and the process is complex and tedious.

Disclosure of Invention

The application provides a menu recommendation method, device and equipment and a readable storage medium, and by recommending a second menu which accords with food material information of purchased food materials to a user, accurate recommendation is achieved, and meanwhile cooking quality is improved.

In a first aspect, an embodiment of the present application provides a recipe recommendation method applied to an intelligent cooking device, where the method includes:

scanning at least one food material to obtain food material information of each food material;

and when the food material information of the at least one food material is not the same as the food material information of a first menu in the candidate menus, displaying a second menu matched with the food material information of the at least one food material, wherein the second menu is obtained by adjusting the first menu.

In a second aspect, an embodiment of the present application provides a cooking method, including:

identifying a cooking instruction, wherein the cooking instruction is used for indicating a second menu corresponding to a first menu, the first menu is a menu in the candidate menus, and the second menu is a menu obtained by adjusting the first menu;

cooking according to the second recipe in response to the cooking instruction.

In a third aspect, an embodiment of the present application provides a menu recommendation device, including:

the scanning module is used for scanning at least one food material to obtain food material information of each food material;

the display module is used for displaying a second menu matched with the food material information of the at least one food material when the food material information of the at least one food material is different from the food material information of a first menu in the candidate menus, and the second menu is a menu obtained by adjusting the first menu.

In a fourth aspect, an embodiment of the present application provides a cooking apparatus, including:

the processing module is used for identifying a cooking instruction, wherein the cooking instruction is used for indicating a second menu corresponding to a first menu, the first menu is a menu in the candidate menus, and the second menu is a menu obtained by adjusting the first menu;

and the response module is used for responding to the cooking instruction and cooking according to the second menu.

In a fifth aspect, an embodiment of the present application provides an intelligent cooking apparatus, including: the body is provided with an accommodating cavity, and the body is also provided with a display, a processor and a memory for storing a computer program;

the accommodating cavity is used for accommodating food materials in the cooking process of the intelligent cooking equipment;

the processor to execute the computer program in the memory to: scanning at least one portion of food material to obtain food material information of each portion of food material;

the display is used for displaying a second menu matched with the food material information of the at least one food material when the food material information of the at least one food material is different from the food material information of a first menu in the candidate menus, and the second menu is a menu obtained by adjusting the first menu.

In a possible implementation manner, the processor is further configured to identify a cooking instruction, and in response to the cooking instruction, perform cooking according to the second recipe, where the cooking instruction is used to indicate the second recipe corresponding to the first recipe.

In a sixth aspect, embodiments of the present application provide a computer-readable storage medium, in which computer instructions are stored, and when executed by a processor, the computer instructions are configured to implement the method according to the first aspect or the various possible implementation manners of the first aspect; alternatively, the computer instructions, when executed by a processor, are for implementing a method as described above for the second aspect or various possible implementations of the second aspect.

In a seventh aspect, embodiments of the present application provide a computer program product comprising a computer program, which when executed by a processor, implements the method according to the first aspect or various possible implementations of the first aspect; alternatively, the computer program, when executed by a processor, implements a method as described above for the second aspect or various possible implementations of the second aspect.

According to the recipe recommendation method, device and equipment and the readable storage medium provided by the embodiment of the application, after the food material tags of each food material are scanned by the electronic equipment to obtain the food material information of each food material, when the food material information of at least one food material is different from the food material information of a first recipe in the candidate recipes, a second recipe matched with the food material information of at least one food material is displayed, and the second recipe is obtained by adjusting the first recipe. The electronic device can be an intelligent cooking device or a terminal device such as a mobile phone of a user. By adopting the scheme, the electronic equipment automatically adjusts and outputs the first menu according to the food material information without the need of user selection or search, and the recommended second menu is matched with the food material information of the food material purchased by the user, so that the process is simple, and the purpose of accurately recommending the menu is realized.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1A is a schematic network architecture diagram of a recipe recommendation method provided in an embodiment of the present application;

fig. 1B is a schematic network architecture diagram of a menu recommendation method provided in an embodiment of the present application;

fig. 1C is a schematic network architecture diagram of a menu recommendation method provided in an embodiment of the present application;

FIG. 2 is a flowchart of a recipe recommendation method provided in an embodiment of the present application;

fig. 3 is an interface diagram of a cooking time point selected by a user in the recipe recommendation method according to the embodiment of the present application;

FIG. 4 is a schematic diagram of a recipe recommended in the recipe recommendation method provided in the embodiment of the present application;

fig. 5 is a schematic diagram illustrating a process of writing food material information in a food material tag in the recipe recommendation method provided in the embodiment of the present application;

fig. 6 is a schematic diagram illustrating a process of reading food material information in the recipe recommendation method provided in the embodiment of the present application;

fig. 7 is a schematic diagram of a menu recommendation device according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure;

fig. 9 is a schematic view of a cooking device according to an embodiment of the present application.

Detailed Description

To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

With the development of artificial intelligence technology and floor application, intelligent cooking devices such as intelligent cooking machines and intelligent bread machines have appeared. Because intelligent cooking equipment can accomplish the culinary art according to the menu is automatic, bring very big facility for people's life, consequently receive people's favor doubly. When cooking is started, a plurality of menus are displayed on a display screen of the intelligent cooking equipment, and after a user selects the menus, the intelligent cooking equipment automatically cooks the gourmet food according to the menus selected by the user. If the menu searched by the user does not exist locally in the intelligent cooking equipment, the menu is downloaded from the cloud end by the intelligent cooking equipment, and after the menu is successfully downloaded, the food is automatically cooked according to the menu.

In recent years, the market demand for clean vegetables has been on the rise year by year. The clean vegetable is also called fresh-cut fruit and vegetable, is prepared by grading, sorting, cleaning, cutting, peeling, fresh-keeping, packaging and the like, has the advantages of fresh quality, rich nutrition, convenience in eating, safety, sanitation, near 100% edible rate and the like, and meets the requirements of consumers on convenient, clean, safe and healthy vegetable food.

Therefore, based on the clean vegetables and the intelligent cooking equipment, the user does not need to wash the vegetables, cut the vegetables, master the duration and degree of heating, master the seasoning user and the like, but directly purchases the clean vegetables, and the intelligent cooking equipment automatically finishes cooking according to the menu.

Generally, only one menu is provided, and the number of the menus cannot be adjusted according to the food materials. For example, a user purchases chicken wings, which are intended to be cola chicken wings. The user searches for the cola chicken wings on the food processor, and finds that the menu of the cola chicken wings is as follows: 400g (g) of chicken wings, 330 ml (ml) of cola, 10g of ginger, 10g of chive, 5ml of light soy sauce, 5ml of cooking wine, 2g of salt and 10ml of peanut oil, and the stewing time is 25 minutes. When the user purchases a chicken wing other than 400g, such as 280g chicken wing or 700g chicken wing, the aforementioned recipe for cola chicken wings is not applicable.

Therefore, how to conveniently and quickly recommend the menu according with the food material components to the user is a problem to be solved urgently.

Based on this, the embodiment of the application provides a recipe recommendation method, device, equipment and readable storage medium, food material information is obtained by reading a food material label on a food material package, a first recipe is adjusted according to the food material information, a second recipe matched with the food material information is obtained and output, user selection or search is not needed, the process is simple, and the purpose of accurately recommending recipes is achieved.

Fig. 1A is a schematic network architecture diagram of a menu recommendation method provided in an embodiment of the present application. Referring to fig. 1A, the network architecture includes an intelligent cooking device 11 and a food material tag 12 attached to a food material package, the intelligent cooking device 11 has a display area and a scanning area, a user aligns the food material tag 12 with the scanning area of the intelligent cooking device 11, the intelligent cooking device 11 scans the food material tag 12 to obtain food material information, and the food material information is displayed in the display area.

The intelligent cooking device 11 includes, but is not limited to, a food processor, an oven, an air fryer, a cooking machine, a bread maker, an intelligent electric oven, an intelligent breakfast maker, an intelligent wall breaking machine, a frying pan, an intelligent pressure cooker, a toaster, an electric cooker, an electric pressure cooker, etc. The intelligent cooking device 11 may be designed integrally, an operating system is built in the intelligent cooking device 11, and a display screen may be installed on the intelligent cooking device 11, and the intelligent cooking device 11 receives various instructions input by a user through a touch control type operation method or a key type operation mode, and feeds back and displays various information of a cooking process to the user.

In addition, the intelligent cooking device 11 may be a separate type, and a wireless or wired communication module may be installed on the intelligent cooking device 11. The intelligent cooking device 11 establishes communication connection with an external intelligent device through a built-in communication module. For example, the intelligent cooking device 11 may establish a wireless connection with a mobile intelligent terminal device such as a smart phone, a smart speaker, a smart television box, a smart watch, and a tablet computer through a wireless module such as Wi-Fi, bluetooth, ZigBee, Near Field Communication (NFC), and the like, and the intelligent cooking device 11 may also establish a wired connection with a mobile intelligent terminal device such as a smart phone, a smart speaker, a smart television box, a smart watch, and a tablet computer through a wired module such as a serial port and a USB interface. Therefore, the user can issue various instructions to the intelligent cooking device 11 by operating the external intelligent device, and various data in the cooking process of the intelligent cooking device 11 are monitored through the intelligent device.

In the embodiment of the application, a plurality of candidate recipes are prestored on the intelligent cooking equipment 11, or the user inputs the name of the recipe on the display screen of the intelligent cooking equipment 11, and when the intelligent cooking equipment 11 does not locally store the recipe, the intelligent cooking equipment 11 downloads the recipe from a cloud or a mobile intelligent terminal device. The intelligent cooking apparatus 11 includes: the body is provided with an accommodating cavity, and the body is also provided with a display, a processor and a memory for storing a computer program; the containing cavity is used for containing food materials in the cooking process of the intelligent cooking equipment. The processor is used for executing the computer program in the memory to realize the recipe recommendation method or the intelligent cooking method in the embodiment of the application.

After the food material labels are scanned each time to obtain the food material information, at least one first menu is determined according to the food material information. For example, the intelligent cooking device 11 scans two food materials, wherein one food material is a clean dish of three delicacies, and the food materials comprise eggplants, potatoes and green peppers. And the other food material is chicken wings, the intelligent cooking equipment 11 determines two first recipes which are the three delicacies of the underground and the braised chicken wings respectively.

After the intelligent cooking device 11 determines the first recipe, the first recipe is adjusted to obtain a second recipe, and the second recipe is output. For example, if the first recipe is a braised chicken wing, 500g of which is needed, but the user purchases 300g of the chicken wing, the intelligent cooking device 11 adjusts the first recipe to a second recipe suitable for cooking the braised chicken wing using 300g of the chicken wing, and outputs the second recipe through the display area.

Fig. 1B is a schematic network architecture diagram of a menu recommendation method provided in the embodiment of the present application. Referring to fig. 1B, the network architecture includes an intelligent cooking device 11, a food material tag 12 attached to a food material package, and a terminal device 13, wherein a client of the intelligent cooking device 11 is installed on the terminal device 13, and a user can issue an instruction to the intelligent cooking device 11 through the client.

The terminal device 13 may be a mobile phone of a user, a tablet computer, and the like, and the embodiment of the present application is not limited. The terminal device 13 has a scanning function, and when the user holds the terminal device 13 by hand and scans the food material tag 12 on the food material package, the terminal device 13 can obtain the food material information.

After scanning the food material labels each time to obtain the food material information, the terminal device 13 determines at least one first menu according to the food material information, and adjusts the first menu to obtain a second menu. After that, the terminal device 13 transmits the second recipe to the intelligent cooking device 11. And after receiving the second menu, the intelligent cooking equipment 11 cooks the food according to the second menu.

In addition, the terminal device 13 may also directly send the scanned food material information to the intelligent cooking device 11, and the intelligent cooking device obtains a second menu according to the food material information and the first menu.

Fig. 1C is a schematic network architecture diagram of a menu recommendation method provided in the embodiment of the present application. Referring to fig. 1C, the intelligent cooking device 11 has a scanning function, and the intelligent cooking device 14 does not have the scanning function. The intelligent cooking device 11 scans the food material tags to obtain food material information, sends the food material information to the intelligent cooking device 14, and allows the intelligent cooking device 14 to determine a first menu according to the food material information and adjust the first menu to obtain a second menu. Thereafter, the smart cooking device 14 cooks the food according to the second recipe. In addition, the intelligent cooking device 11 may also send the food material information to a terminal device such as a mobile phone of the user, and the terminal device determines the first menu according to the food material information, adjusts the first menu to obtain the second menu, and indicates the second menu to the intelligent cooking device 14.

Illustratively, when there are two or more intelligent cooking devices, each intelligent cooking device and the Internet of Things server establish a network connection to form a Narrow-Band Internet of Things (NB-IoT). In this way, any two internet of things devices in the internet of things, for example, the intelligent cooking device 11 and the intelligent cooking device 14, can exchange information through the internet of things server. The outbound networking server is not illustrated in FIG. 1C.

It should be noted that, although the scanning area and the display area are located on different surfaces in fig. 1A to 1C, the position of the scanning area is not limited in the embodiments of the present application. In practical implementation, the position of the scanning area can be flexibly adjusted.

Next, based on the network architecture shown in fig. 1A, the recipe recommendation method provided in the embodiment of the present application is described in detail with an intelligent cooking device as an execution subject. It can be understood that the recipe recommendation method according to the embodiment of the present application is not limited to be executed by the intelligent cooking device, and based on the architecture shown in fig. 1B, the recipe recommendation method may be executed by a terminal device such as a mobile phone of a user.

Fig. 2 is a flowchart of a recipe recommendation method according to an embodiment of the present application. The execution subject of the embodiment is an intelligent cooking device with a scanning function, the embodiment includes:

201. at least one serving of food material is scanned to obtain food material information for each serving of food material.

With the improvement of the quality of life, several dishes may be needed for one meal. Meanwhile, with the acceleration of life rhythm, the user purchases dishes for several days at one time. In addition, with the development of the clean dish market, office workers are more inclined to purchase clean dishes, so that food materials do not need to be processed, namely washing, cutting vegetables and the like are not needed, and the food materials are directly cooked by using intelligent cooking equipment.

After the user purchases food materials, the food material tags on each food material package are scanned by the intelligent cooking equipment, so that food material information of each food material is obtained. The food material information includes, but is not limited to, a food material name, a food material component, a production date, a shelf life, or a Serial Number (SN). The intelligent cooking equipment can flexibly acquire the food material information.

In one mode, a Near Field Communication (NFC) card reader is installed on the intelligent cooking device, the food material tag is an NFC tag, and the intelligent cooking device scans the NFC tag by using the NFC card reader to obtain food material information.

In another mode, the intelligent cooking equipment has a two-dimensional code scanning function, the food material label is a two-dimensional code, and the intelligent cooking equipment scans the two-dimensional code on the food material package, so that food material information can be obtained.

In another mode, the intelligent cooking device has a barcode scanning function, the food material label is a barcode, and the intelligent cooking device scans the barcode to obtain the food material information.

202. And when the food material information of the at least one food material is different from the food material information of a first menu in the candidate menus, displaying a second menu matched with the food material information of the at least one food material, wherein the second menu is obtained by adjusting the first menu.

After the intelligent cooking equipment obtains the food material information, the food material information of each food material is analyzed, which food materials the user purchases can be determined, and then the first menu is determined according to the food materials the user purchases and the menus in the candidate menu set. The number of the first recipes is related to the type of the food material, and the larger the type of the food material is, the larger the number of the first recipes is. The food material required by the first recipe comprises one or more food materials of at least one food material.

Generally, each recipe has main food materials, for example, the main food materials required for three delicacies of the ground include potatoes, green peppers and eggplants, and the main food material for braised chicken wings is chicken wings. In addition, in one menu, the food material information of various food materials, especially the staple food materials, is often clarified. In the embodiments of the present application, the food material information refers to at least one of the following, but not limited to: food material measurement units such as weight, volume, several parts, proportion and the like.

However, when the user purchases the food material, the actual information of the food material is often relatively random or not emphasized, and the food material information of the purchased food material is different from the food material information of the food material in the first menu. For example, the first recipe is a braised chicken wing, requiring 500g of chicken wings, but the user purchases 300g of chicken wings. As another example, the first recipe is beef braised in brown sauce, which requires 350g of beef, but the user purchases 700g of beef. When the food material information of the food material in the first menu is different from the food material information of the food material purchased by the user, if the cooking is continued according to the first menu, the intelligent cooking device still refers to the amount of the auxiliary food material, the amount of the seasoning and the cooking parameter in the first menu, so that the cooked gourmet food has poor taste and even fails to cook. In embodiments of the present application, the cooking parameters include, but are not limited to, at least one of: cooking time, stirring speed of a stirring shovel, whether a cover is opened or closed, heating power and self-cleaning grade (heavy self-cleaning, common self-cleaning and light self-cleaning).

Therefore, in the embodiment of the application, when the food material information of the food material in the first menu is different from the food material information of the food material purchased by the user, the first menu is adjusted to obtain a second menu matched with the food material information of the food material purchased by the user. For example, if the first recipe is a braised chicken wing, 500g of the chicken wing is needed, but the user purchases 300g of the chicken wing, the intelligent cooking device automatically reduces the amount of the auxiliary food materials and the amount of the seasonings in the first recipe, and adjusts the cooking parameters, so as to obtain a second recipe suitable for 300g of the chicken wing. As another example, if the first recipe is beef braised in brown sauce, which requires 350g of beef, but the user purchases 700g of beef, the intelligent cooking device automatically increases the amount of the auxiliary ingredients and the amount of the seasonings in the first recipe, and adjusts the cooking parameters, thereby obtaining a second recipe suitable for 700g of beef.

According to the recipe recommendation method provided by the embodiment of the application, the intelligent cooking equipment scans the food material tags of each part of food material, after the food material information of each part of food material is obtained, when the food material information of at least one part of food material is different from the food material information of a first recipe in the candidate recipes, a second recipe matched with the food material information of at least one part of food material is displayed, and the second recipe is a recipe obtained by adjusting the first recipe. By adopting the scheme, the intelligent cooking equipment automatically adjusts and outputs the first menu according to the food material information, the user does not need to select or search, the recommended second menu is matched with the food material information of the food materials purchased by the user, the process is simple, and the purpose of accurately recommending the menu is achieved.

Optionally, in the above embodiment, when the intelligent cooking device adjusts the first recipe to obtain the second recipe, the ratio of the weight of the main food material in the first recipe to the weight of the main food material purchased by the user is determined, and one or more of the components of the auxiliary food materials, the components of the seasonings, or the cooking parameters in the first recipe is adjusted according to the ratio. For example, the first recipe is cola chicken wings, as follows: 400g (g) of chicken wings, 330 ml (ml) of cola, 10g of ginger, 10g of chive, 5ml of light soy sauce, 5ml of cooking wine, 2g of salt and 10ml of peanut oil, and the stewing time is 25 minutes. From the first recipe, the weight of the main food material was 400 g. When the customer purchased 280g of chicken wings, the ratio of the weights was 0.7. Therefore, the intelligent cooking device obtains a second menu according to 0.7 times of the component of the auxiliary food material, 0.7 times of the component of the seasoning and 0.7 times of the cooking parameter in the first menu, and the second menu is as follows: 280g of chicken wings, 230ml of cola, 7g of ginger, 7g of chive, 3.5ml of light soy sauce, 3.5ml of cooking wine, 1.5g of salt and 7ml of peanut oil, and the stewing time is 18 minutes.

Similarly, when a customer purchases 600 grams of chicken wings, the ratio of the weights is 1.5. Therefore, the intelligent cooking device obtains a second menu according to 1.5 times of the component of the auxiliary food material, 1.5 times of the component of the seasoning and 1.5 times of the cooking parameter in the first menu, and the second menu is as follows: 600g of chicken wings, 500ml of cola, 15g of ginger, 15g of chive, 7.5ml of light soy sauce, 7.5ml of cooking wine, 3g of salt and 15ml of peanut oil, and the stewing time is 35 minutes.

In the above embodiment, the ratio of the weight of the main food material of the smart device is increased by the component of the auxiliary food material, the component of the seasoning and the cooking parameter in equal proportion. However, the embodiment of the present application is not limited thereto, and in other feasible implementation manners, a weight coefficient, a constant, and the like may be set for the components of the auxiliary food materials, the components of the seasonings, or the cooking parameters, and the components of the auxiliary food materials, the components of the seasonings, or the cooking parameters in the first recipe may be adjusted by combining the ratio, the weight coefficient, the constant, and the like, so as to obtain the second recipe.

In addition, in the process of determining the second menu based on the first menu, in addition to adjusting the first menu according to the ratio to obtain the second menu, the first menu may also be adjusted according to a difference value between the weight of the main food material in the first menu and the weight of the main food material purchased by the user, and the like, so as to obtain the second menu.

By adopting the scheme, the second menu is obtained by adjusting the first menu according to the ratio of the weight of the main food material in the first menu to the weight of the main food material purchased by the user, so that the purpose of accurately determining the second menu suitable for the food material purchased by the user is realized.

Optionally, in an embodiment, in one mode, the at least one food material corresponds to a first food material type, a second food material type corresponding to the first recipe is greater than a third food material type corresponding to a third recipe, the second food material type and the third food material type are both included in the first food material type, and the third recipe is a recipe in a candidate recipe set of the intelligent cooking device.

Users often buy dishes for several days at a time, and a large number of dishes are cooked by one meal. After each time of purchasing a dish, the user scans each food material by using the intelligent cooking device, and can determine a first food material type of the purchased food material, for example, the first food material type includes chicken wings, shrimps, corns, carrots and potatoes. Next, the intelligent cooking device traverses each candidate recipe in the set of candidate recipes to obtain a desired second food category for each candidate recipe. And then, the intelligent cooking equipment determines the first menu according to the second food material type of each candidate menu and the first food material type of the purchased food material. The second food material category of the first recipe is closer to the first food material category. If the other recipes in the set of candidate recipes are referred to as a third recipe, the second food material type of the first recipe is greater than the third food material type of the third recipe.

Continuing with the above example, the first food material category includes chicken wings, shrimp, corn, carrot and potato. The menu in the candidate menu set comprises: stewed fresh shrimp and chicken wing, honeydew chicken wing, Orleans roasted chicken wing, soy bean chicken wing, braised chicken wing, tomato juice prawn, net red lemon prawn, braised prawn, boiled prawn, sour and hot potato shred and sauce-fried potato shred. The food materials required by each menu are as follows:

cooking fresh shrimps and chicken wings: 500g of chicken wing middle parts, 150g of carrots, 150g of corn blocks, 150g of potatoes and 150g of shrimps.

Honeydew chicken wings: 500g in chicken wings.

Orleans roasted chicken wings: 500g in chicken wings.

Stewing corn and chicken wings: 500g of chicken wings, 100g of carrots, 100g of corn blocks and 100g of potatoes.

The fermented soybean oil chicken wings: 500g in chicken wings.

Braised chicken wings in soy sauce: 500g in chicken wings.

Tomato juice prawn: 350g of metapenaeus ensis.

Net red lemon shrimps: 400g of metapenaeus ensis.

Oil-braised prawn: 500g of metapenaeus ensis.

Boiled shrimps: 500g of metapenaeus ensis.

Sour and hot shredded potatoes: 280g of shredded potatoes.

Shredded potatoes fried with soy sauce: 300g of shredded potatoes.

Obviously, the second food material category corresponding to the fresh shrimp and chicken wing pot includes: chicken wings, carrots, corn, potatoes and metapenaeus ensis, the first food material is of the same kind as the second food material. And the third food material types corresponding to the recipes of the honeydew chicken wings, the corn chicken wings, the fermented soybean chicken wings and the like are less than the second food material types corresponding to the fresh shrimp chicken wings. Therefore, the intelligent cooking equipment cooks the fresh shrimp and chicken wings as a first menu.

Since the user purchases several food materials required for the dishes, each food material may be a staple food material, i.e., there may be more than one first menu. After the intelligent cooking equipment determines that the fresh shrimp and chicken wings are cooked, the first component in the chicken wings is found to be 350g, the second component in the chicken wings in the fresh shrimp and chicken wings is found to be 500g, and the intelligent cooking equipment adjusts the fresh shrimp and chicken wings to be cooked according to the ratio of the first component to the second component to obtain a second menu: 350g of chicken wing middle parts, 105g of carrots, 105g of corns, 105g of potatoes and 105g of metapenaeus ensis.

Thereafter, the smart cooking device found that the user actually purchased 500g of potatoes and 500g of metapenaeus ensis, removed the potatoes and metapenaeus ensis for the fresh shrimp chicken wing pot, and remained 395g of potatoes and 395g of metapenaeus ensis. By querying the historical cooking records, the intelligent cooking device determines that the user prefers the hot and sour shredded potatoes and the tomato juice shrimps. Therefore, the intelligent cooking equipment adjusts the first menu of the hot and sour shredded potatoes according to the weight of the residual potatoes, so that a second menu of the hot and sour shredded potatoes, which is in accordance with the weight of the residual potatoes, is obtained. In a similar way, the intelligent cooking equipment adjusts the first menu of the tomato juice shrimps according to the weight of the residual basal shrimps, so that the second menu of the tomato juice shrimps, which accords with the weight of the residual basal shrimps, is obtained.

By adopting the scheme, the intelligent cooking equipment determines the first menu according to the first food material type of at least one food material and the second food material type of each candidate menu in the candidate menu set, the food materials required by the first menu contain most purchased food materials, and the purpose of fully utilizing the food materials is achieved.

In another mode, the at least one serving of food material corresponds to a first food material type, the second food material type corresponds to the first recipe, the third recipe corresponds to a third food material type, the similarity between the second food material type and the first food material type is a first similarity, the similarity between the third food material type and the first food material type is a second similarity, and the first similarity is greater than the second similarity.

For example, the second food material type of the first recipe is closer to the first food material type, which means that the second food material type of the first recipe is more similar to the first food material type in a plurality of candidate recipes after the intelligent cooking device traverses the candidate recipe set. The intelligent cooking equipment is fitted into a similarity numerical value according to parameters such as food material types, food material weights and food material names, the similarity numerical value is displayed to a user in a sequencing mode, a second food material type with the highest similarity numerical value is automatically selected, and therefore a first menu containing the second food material type is determined. If the other recipes in the candidate recipe set are called as third recipes containing a third food material type, the similarity value between the second food material type of the first recipe and the first food material type is larger than the similarity value between the third food material type of the third recipe and the first food material type. In an embodiment of the present application, the similarity value between the second food material type and the first food material type is 95%, the similarity value between the third food material type and the first food material type is less than 95%, the third recipe is another recipe in the candidate recipe set, and includes a plurality of recipes, and then the similarity sequentially is: 92%, 90%, 89%, 85%, 78% … …

By adopting the scheme, the aim of fully utilizing food materials is fulfilled.

Optionally, in the above embodiment, after the intelligent cooking device scans at least one food material, a plurality of candidate recipes are displayed in the display area according to the food material information. The user issues a first selection instruction in the modes of voice, touch and the like. After the intelligent cooking equipment identifies the first selection instruction, responding to the first selection instruction, and displaying a second menu matched with the food material information of the main food material.

Illustratively, a user purchases a plurality of food materials, each having a relatively large amount of components. In case the intelligent cooking device automatically identifies and selects the first recipe, the first recipe may not be a recipe of a dish the user wants to eat. In order to facilitate the user to eat the most wanted dish, the intelligent device displays the candidate menu in the display area according to the food material information. For example, if the at least one food material includes chicken wings, potatoes and beef, the display area displays the chicken wings with soy sauce, the chicken wings with honey sauce, the shredded hot and sour potatoes, the shredded fried potatoes, the spiced beef, the fried beef and the stewed beef with potatoes. If the smart device automatically determines the first recipe, the first recipe may be chicken wings with soy sauce, shredded potatoes with sour and hot taste, and quick-fried beef. In fact, users prefer honeydew chicken wings and potato stewed beef. Therefore, the user selects the first menu through voice or touch and the like. After the intelligent cooking equipment identifies the first selection instruction, the first menu is adjusted according to the first menu selected by the user and the food material information of the purchased food materials, and accordingly the personal menus are obtained and displayed.

By adopting the scheme, the second menu is obtained and displayed according to the first menu selected by the user, the user requirements are considered, and the user experience is improved.

Optionally, in the above embodiment, after the intelligent cooking device scans the at least one food material, the plurality of candidate times are displayed in the display area. And the user issues a second selection instruction in the modes of voice, touch and the like. And after the intelligent cooking equipment identifies a second cooking instruction, responding to the second selection instruction, and displaying a diet plan which comprises a second menu corresponding to each cooking time point and matched with the food material information of the at least one food material.

Optionally, in the above embodiment, when the user purchases food materials of several dishes at one time to prepare for several days in the future, and the intelligent cooking device scans each food material, the display area of the intelligent cooking device displays the food material information of each food material and selects the day candidate time. And when the user selects the cooking time points, the intelligent cooking device displays a second menu corresponding to each cooking time point.

Illustratively, the intelligent cooking device automatically displays a second recipe for each cooking time point according to the food material information of the plurality of food materials purchased by the user. The cooking time point may be a specific time point or which one of three meals a day. The specific time point is, for example, 12 am 2/month 2, 7 am 3/month 3, and the like, or the cooking time point is 2/month 2/day lunch, 2/month 3/day breakfast, and the like.

Table 1 is food material information for a plurality of food materials purchased by a user.

Name (R)	Component(s) of	Date of manufacture	Shelf life	Anti-fake serial number
					Chicken wing	350g	X month and X days of X year	Freezing for 3 months	123456
Shrimp (Exopalaemon bivalve)	500g	X month and X days of X year	Freezing for 3 months	234567
					Corn (corn)	105g	X month and X days of X year	Refrigerating for 5 days	345678
Carrot (Carex sativus L.)	105g	X month and X days of X year	Refrigerating for 5 days	456789
					Potato	500g	X month and X days of X year	Refrigerating for 10 days	567890
Three delicacies of the earth	400g	X month and X days of X year	Refrigerating for 5 days	678901
					Beef	350g	X month and X days of X year	Freezing for 3 months	789012

Fig. 3 is an interface schematic diagram of a cooking time point selected by a user in the recipe recommendation method according to the embodiment of the present application. Referring to fig. 3, a date and a daily cooking time point are displayed on a display screen of the intelligent cooking apparatus, and a user selects a specific cooking time point from the date and the daily cooking time point. In fig. 3, the cooking time points selected by the user are 2-month 2-day and 2-month 3-day supper time points, as shown in the filled portion of the square in the figure.

After the user selects the cooking time point, the intelligent cooking equipment determines and displays a first menu according to the cooking time point selected by the user and the food materials in the table 1 by combining the number of people having a dinner, the preference of the user and the like. For example, please refer to fig. 4. Fig. 4 is a schematic diagram of a recipe recommended in the recipe recommendation method provided in the embodiment of the present application.

Referring to fig. 4, according to the food materials purchased by the user and the cooking time point selected by the user, the intelligent cooking device determines that the second menu is the fresh shrimp chicken wings and the hot and sour potato shreds when the dinner is 2 months and 2 days, and the second menu is the braised beef and the shasan xian when the dinner is 2 months and 3 days.

By adopting the scheme, the intelligent cooking equipment automatically generates the diet plan according to the food materials purchased by the user and the cooking time points selected by the user, and the purpose of accurate recommendation is realized.

Optionally, in the above embodiment, after the intelligent cooking device displays the diet plan, if the user inputs an adjustment instruction for adjusting the diet plan, after the intelligent cooking device recognizes the adjustment instruction, the arrangement order of the second recipes in the diet plan is adjusted. The user can output the adjustment instruction on the display screen through dragging and the like, the intelligent cooking equipment identifies the adjustment instruction, and the cooking time point of the target menu is adjusted in response to the adjustment instruction.

For example, referring to fig. 4 again, if the user wants to change the cooking time points of the sour and hot shredded potatoes and the three delicacies in the earth, the user presses and slides the sour and hot shredded potatoes to the position of the three delicacies in the earth, and the intelligent cooking device recognizes the instruction input by the user to press and drag the single finger and then exchanges the cooking time points of the sour and hot shredded potatoes and the three delicacies in the earth. For another example, a user has a meal alone at 2 months and 2 nights, but 3 people have a meal at 2 months and 3 nights, the user wants to modify the cooking time point of the fresh shrimp chicken wing pot into 2 months and 3 nights, then the user presses and drags the fresh shrimp chicken wing pot to drag the pot to any position where the 2 months and 3 nights are located, and after the intelligent cooking equipment recognizes the double-finger dragging instruction of the user, the cooking time point of the fresh shrimp chicken wing pot is modified into 2 months and 3 nights.

By adopting the scheme, the aim of flexibly adjusting the diet plan by the user is fulfilled.

Optionally, in the above embodiment, after the intelligent cooking device generates the diet plan, when a certain cooking time point in the diet plan corresponds to at least two second recipes, the at least two second recipes are sorted to obtain the cooking sequence. Thereafter, at least two second recipes are displayed in the cooking order.

Referring to fig. 4, the recipes at 2 months and 3 days of supper are respectively thaumami and beef braised in brown sauce. The intelligent cooking device finds the first menu corresponding to the three delicacies of the ground and the first menu corresponding to the braised beef: the cooking time of the braised beef in brown sauce is 70 minutes, the cooking time of the three delicacies in the ground is 10 minutes, and therefore, the cooking sequence is as follows: the braised beef is cooked firstly, and then the three delicacies are cooked. Therefore, the defects that the three delicacies in the ground are cooked first and then the braised beef is cooked and the three delicacies in the ground become cool after the ground is cooked with the red-yarn beef can be avoided. Meanwhile, the cooking time is saved.

Optionally, in the above embodiment, after the intelligent cooking device scans at least one food material, a plurality of candidate recipes are displayed in the display area according to the food material information. And the user issues a third selection instruction in the modes of voice, touch and the like. And after the intelligent cooking equipment identifies a third selection instruction, responding to the third selection instruction, and displaying a second menu matched with the food material information of other food materials except the food material required by the fourth menu in the at least one food material.

For example, before or after the intelligent cooking device scans the food materials, the user may select a fourth menu from the display screen, where the fourth menu is a menu of dishes that the user wants to eat and a menu that must be cooked. After the intelligent cooking equipment scans each food material, whether a fourth menu exists is judged firstly in the process of determining the first menu, and if the fourth menu exists, the food materials required by the fourth menu are deleted from at least one food material to obtain the residual food materials. And then, the intelligent cooking equipment determines the first menu according to the food material information of each food material in the rest food materials. If the fourth menu does not exist, the intelligent cooking equipment determines the first menu according to all food materials purchased by the user, and then adjusts the first menu to obtain the second menu and displays the second menu.

For example, the first food material category includes chicken wings, metapenaeus ensis, corn, carrots, and potatoes, and the fourth recipe is braised chicken wings, the smart cooking device subtracts the food materials required to braised chicken wings from the purchased food materials, and determines a first recipe from the remaining food materials, i.e., metapenaeus ensis, corn, carrots, and potatoes, the first recipe being carrot and corn fried shrimp meat and shredded potatoes.

By adopting the scheme, the automatic intelligent cooking equipment subtracts the food materials corresponding to the dishes which the user preferentially wants to eat from the purchased food materials, and determines the first menu according to the residual food materials, so that the aim of fully utilizing the food materials while considering the preference of the user is fulfilled.

Optionally, in the embodiment, the intelligent cooking device scans the food material tags on packages of each of at least one food material to obtain food material information of each food material, and then sends the food material information of each food material to the internet of things device, so that the internet of things device determines the second menu according to the food material information.

Illustratively, some intelligent cooking devices have food material tag scanning functionality, and some intelligent cooking devices do not. For example, the user has two intelligent cooking devices in the house, explodes the pot for cooking machine and air respectively, and cooking machine possesses and eats material label scanning function, and the air is fried the pot and is not eaten material label scanning function. The food processor and the air fryer are positioned in the same internet of things. Therefore, after the food material tag is scanned by the food processor each time to obtain the food material information, the food material information is sent to the air fryer, and the air fryer determines a first menu according to the food material information.

When the food processor sends the food material information, the food material information is sent to the physical network server and forwarded to the air fryer through the Internet of things server. Or, the food processor sends the food material information to the air fryer through bluetooth communication or the like, which is not limited in the embodiment of the present application.

By adopting the scheme, food material information is interacted between the intelligent cooking devices, food material information which is obtained by a user and has purchased food materials and does not have the food material label scanning function can be obtained, the first menu is recommended according to the food material information, and the purpose of accurately recommending the menu is achieved.

Optionally, in the above embodiment, before each food material leaves the factory, a food material label is attached, after the food material leaves the factory and is purchased by a user, the intelligent cooking device scans the food material label to obtain food material information, and menu recommendation, anti-counterfeiting detection and the like are performed based on the food material information. In the following, taking the food tag as an NFC tag as an example, how to write and read the food information will be described in detail. Fig. 5 is a schematic diagram illustrating a process of writing food material information in a food material tag in the recipe recommendation method provided in the embodiment of the present application. Fig. 6 is a schematic view of a process of reading food material information in the recipe recommendation method provided in the embodiment of the present application.

Referring to fig. 5, in the process of packaging food materials in a production line, a card reader is installed in the production line, and the production line card reader reads the ID of the NFC tag and sends the ID to a server through a Manufacturing Execution System (MES). After receiving the original ID of the NFC label, the server generates food material information, wherein the food material information comprises the name, the weight, the production date, the quality guarantee period, the anti-counterfeiting serial number and the like of food materials, and the anti-counterfeiting serial number comprises manufacturer information, production place information and the like. And then, the server encrypts the food material information by using a private key, the food material information is sent to a production line card reader through an MES (manufacturing execution system), and the production line card reader writes the food material information into an NFC (near field communication) label.

Referring to fig. 6, after the food material leaves the factory and is purchased by the user, the user scans the food material tag by using the NFC card reader on the intelligent cooking device to obtain the encrypted food material information. And the NFC card reader sends the encrypted food material information to a main control board of the intelligent cooking device through a communication protocol such as I2C. The main control board is provided with a processor such as a Microcontroller Unit (MCU), a public key is prestored on the processor, the processor receives the encrypted food material information and then decrypts the information by using the public key to obtain the food material information, and anti-counterfeiting detection, menu recommendation and the like are performed on the basis of the food material information.

Referring to fig. 5 and 6, before leaving the factory, the food material information is encrypted by using a private key, and after leaving the factory, the intelligent cooking device decrypts the food material information by using a built-in public key, so that the identity information is transmitted in a ciphertext manner, and the food material information is prevented from being leaked by plaintext transmission, and the food material information is prevented from being maliciously forged by other manufacturers. Moreover, by using the pair-special encryption technology, the food material information is encrypted by using the private key and decrypted by using the public key on the main control board, so that even if the public key is lost and the encrypted food material information is cracked, the food material information cannot be forged, and further, the illegal manufacturers are prevented from producing counterfeit food materials.

Optionally, in the above embodiment, after the intelligent cooking device scans the food material tag to obtain the food material information, when the food material information contains the anti-counterfeiting serial number, the intelligent cooking device may further perform anti-counterfeiting identification on the food material according to the anti-counterfeiting serial number. The intelligent cooking equipment establishes a local database in advance, and the sequence number of the genuine food material is stored in the local database. The intelligent cooking equipment regularly obtains the serial number of the genuine food material from the server and updates the local database. After the intelligent cooking equipment scans the food material label to obtain the food material information, whether an anti-counterfeiting serial number contained in the food material information exists in a genuine product database or not is judged, and if the anti-counterfeiting serial number exists in the local database, the food material is the genuine food material. When the anti-counterfeiting serial number does not exist in the local database, the intelligent cooking equipment outputs prompt information to prompt the user that the food material corresponding to the food material information is a forged clean dish.

By adopting the scheme, the intelligent cooking equipment realizes the purpose of guaranteeing healthy eating of the user by carrying out anti-counterfeiting identification on the food materials.

Optionally, in the above embodiment, after the intelligent cooking device scans the food material tag to obtain the food material information, the anti-counterfeiting serial number in the food material information is further sent to the server, so that the server determines whether the food material is a forged clean dish according to the anti-counterfeiting serial number.

Illustratively, a counterfeit-proof serial number has a certain expiration date. The intelligent cooking equipment can determine whether the anti-counterfeiting serial number exists in the local database or not, but cannot determine whether the anti-counterfeiting serial number is effective or not. If the food material is determined to be genuine according to the existence of the anti-counterfeiting serial number in the local database, certain risks exist. Therefore, the intelligent cooking equipment sends the anti-counterfeiting serial number to the server, the server performs secondary confirmation, and if the anti-counterfeiting serial number is stored in the server and is in the validity period, the food material passes the anti-counterfeiting detection. If the anti-counterfeiting serial number is stored in the server, but the anti-counterfeiting serial number is invalid, the food material is a fake clean dish and comes from a bad merchant. And if the server does not have the anti-counterfeiting sequence number, the food material is a forged clean dish and comes from a bad merchant.

By adopting the scheme, the intelligent cooking equipment sends the anti-counterfeiting serial number to the server, and the server performs secondary anti-counterfeiting identification on the food, so that the food safety of the user is further guaranteed.

It should be noted that, although the above is based on the architecture shown in fig. 1A, the recipe recommendation method according to the embodiment of the present application is described in detail by using an intelligent cooking device as an execution subject. However, the embodiment of the present application is not limited thereto, and in other possible implementations, the above menu recommendation scheme may be executed by a terminal device such as a mobile phone of a user based on the architecture shown in fig. 1B.

Fig. 7 is a flowchart of a cooking method according to an embodiment of the present application. The embodiment comprises the following steps:

701. identifying a cooking instruction, wherein the cooking instruction is used for indicating a second menu corresponding to a first menu, the first menu is a menu in a candidate menu, the second menu is a menu obtained by adjusting the first menu, food material information required by the second menu is matched with food material information in at least one part of food material, and the food material information in the first menu is not matched with the food material information in the at least one part of food material.

For example, a user issues a cooking instruction to the cooking device through voice, touch and the like, or a client of the intelligent cooking device is installed on a mobile phone and a tablet personal computer of the user, and the user remotely operates the intelligent cooking device through the client, so as to issue the cooking instruction to the intelligent cooking device. For example, a button of the second menu is displayed on the intelligent cooking device, and the user clicks the second menu to issue a cooking instruction to the intelligent cooking device.

For the description of the first menu and the second menu, reference may be made to the above-mentioned embodiments of menu recommendation methods, and details are not repeated here.

702. Cooking according to the second recipe in response to the cooking instruction.

After the intelligent cooking recognizes the cooking instruction, the firepower, the toppling and seasoning and the like are adjusted according to the steps of the second menu to finish the cooking.

According to the intelligent cooking method provided by the embodiment of the application, after the intelligent cooking equipment identifies the cooking instruction, the cooking is carried out according to the second menu corresponding to the first menu, and because the food material information required by the second menu is matched with the food material information of the food material bought by the user later, the cooking quality can be improved according to the second menu.

Optionally, in the above embodiment, the intelligent cooking device displays the diet plan. And the user issues a fourth selection instruction in the modes of voice, touch and the like, and the fourth selection instruction is used for selecting a second menu to be cooked from the diet plan. And after the intelligent cooking equipment identifies the fourth selection instruction, determining a second menu to be cooked.

For example, since a user usually purchases a plurality of food materials at one time, after the intelligent cooking device scans the food materials to obtain food material information of each food material, a first menu is determined according to the food material information and the candidate menu, and then the first menu is adjusted to obtain a second menu. There may be more than one second menu. The intelligent cooking device generates a diet plan according to the second recipes and the cooking time point expected by the user. And when cooking each time, the intelligent cooking equipment displays the second menu according to the current time and prompts the user. In case the user temporarily changes the idea and selects other second recipes, the intelligent cooking device determines the second recipe to be cooked according to a fourth selection instruction input by the user.

By adopting the scheme, user requirements are considered while intelligent recommendation is carried out, and user experience is improved while accurate recommendation is realized.

The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.

Fig. 8 is a schematic diagram of a menu recommendation device according to an embodiment of the present application. The menu recommending apparatus 800 includes: a scanning module 81 and a display module 82.

The scanning module 81 is configured to scan at least one serving of food material to obtain food material information of each serving of food material;

the display module 82 is configured to display a second recipe matched with the food material information of the at least one food material when the food material information of the at least one food material is different from the food material information of a first recipe in the candidate recipes, where the second recipe is a recipe obtained by adjusting the first recipe.

In a possible implementation, the apparatus further includes: and a processing module 83.

The display module 82 is configured to display a plurality of candidate recipes according to the food material information;

the processing module 83 is configured to identify a first selection instruction, where the first selection instruction is used to select the first menu;

the display module 82 is configured to display a second recipe matched with the food material information of the at least one food material in response to the first selection instruction.

In a possible implementation manner, the display module 82 is further configured to display a plurality of candidate times;

the processing module 83 is configured to identify a second selection instruction, where the second selection instruction is used to select at least one cooking time point;

the display module 82 is configured to display a diet plan in response to the second selection instruction, where the diet plan includes a second recipe corresponding to each cooking time point and matching with the food material information of the at least one food material.

In a possible implementation, the processing module 83 is further configured to identify an adjustment instruction, where the adjustment instruction is used to adjust the diet plan; adjusting the ranking order of the second menu in the dietary plan in response to the adjustment instruction.

In a possible implementation manner, the display module 82 is configured to display a plurality of candidate recipes according to the food material information;

the processing module 83 is configured to identify a third selection instruction, where the third selection instruction is used to select a fourth menu;

the display module 82 is configured to display, in response to the third selection instruction, a second menu matched with the food material information of the food materials other than the food material required by the fourth menu in the at least one food material.

In a possible implementation manner, the second menu is obtained by adjusting at least one of the components of the auxiliary food materials, the components of the seasonings, the cooking parameters and the auxiliary materials in the first menu.

In a feasible implementation manner, the at least one food material corresponds to a first food material type, a second food material type corresponding to the first recipe is more than a third food material type corresponding to a third recipe, the second food material type and the third food material type are both included in the first food material type, and the third recipe is a recipe in a candidate recipe set of the intelligent cooking device.

In a feasible implementation manner, the at least one serving of food material corresponds to a first food material type, the second food material type corresponds to the first recipe, the third recipe corresponds to a third food material type, the similarity between the second food material type and the first food material type is a first similarity, the similarity between the third food material type and the first food material type is a second similarity, and the first similarity is greater than the second similarity.

In a feasible implementation manner, the scanning module 81 is configured to scan a food material tag on a package of each food material of at least one food material to obtain encryption information of each food material, where the encryption information is obtained by encrypting food material information of the food material with a private key;

the processing module 83 is configured to decrypt the encrypted information of each food material by using a pre-stored public key to obtain the food material information of each food material.

In a possible implementation manner, the processing module 83 is further configured to determine whether the anti-counterfeiting serial number exists in a database when the food material information includes the anti-counterfeiting serial number, where the database stores serial numbers of genuine food materials;

and when the anti-counterfeiting serial number does not exist in the database, outputting prompt information to prompt a user that the food material corresponding to the food material information is a forged clean dish.

The menu recommending device provided by the embodiment of the application can execute the actions of the intelligent cooking equipment in the embodiment, the implementation principle and the technical effect are similar, and the details are not repeated.

Fig. 9 is a schematic view of a cooking device according to an embodiment of the present application. The cooking apparatus 900 includes: a processing module 91 and a response module 92.

The processing module 91 is configured to identify a cooking instruction, where the cooking instruction is used to indicate a second recipe corresponding to a first recipe, where the first recipe is a recipe in the candidate recipes, and the second recipe is a recipe obtained by adjusting the first recipe;

a response module 92, configured to respond to the cooking instruction, perform cooking according to the second recipe.

In one possible implementation, the apparatus further includes a display module 93.

The display module 93 is configured to display a diet plan, where the diet plan includes a second recipe corresponding to at least one cooking time point and matching with the food material information of the at least one food material;

the processing module 91 is configured to identify a fourth selection instruction, where the fourth selection instruction is used to select a second recipe to be cooked from the diet plan.

Embodiments of the present application also provide a computer-readable storage medium, in which computer instructions are stored, and the computer instructions are executed by a processor to implement the recipe recommendation method or the cooking method implemented by the above intelligent cooking apparatus.

Embodiments of the present application further provide a computer program product, which contains a computer program, and when the computer program is executed by a processor, the method for recommending a recipe or cooking a recipe implemented by the above intelligent cooking apparatus is implemented.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.

It will be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings and described above, and that various modifications and changes can be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A menu recommendation method is applied to an electronic device, and comprises the following steps:

and when the food material information of the at least one food material is different from the food material information of a first menu in the candidate menus, displaying a second menu matched with the food material information of the at least one food material, wherein the second menu is obtained by adjusting the first menu.

2. The method of claim 1, wherein displaying the second recipe that matches the food material information for the at least one food material comprises:

displaying a plurality of candidate recipes according to the food material information;

identifying a first selection instruction, wherein the first selection instruction is used for selecting the first menu;

and responding to the first selection instruction, and displaying a second menu matched with the food material information of the at least one food material.

3. The method of claim 1, wherein displaying the second recipe that matches the food material information for the at least one food material comprises:

displaying a plurality of candidate times;

identifying a second selection instruction for selecting at least one cooking time point;

in response to the second selection instruction, displaying a diet plan containing a second recipe corresponding to each cooking time point that matches the food material information of the at least one food material.

4. The method of claim 3, wherein after displaying the dietary plan in response to the second selection instruction, further comprising:

identifying adjustment instructions for adjusting the dietary plan;

adjusting the ranking order of the second menu in the dietary plan in response to the adjustment instruction.

5. The method of any of claims 1-3, wherein displaying the second recipe that matches the food material information for the at least one food material comprises:

identifying a third selection instruction, wherein the third selection instruction is used for selecting a fourth menu;

and responding to the third selection instruction, and displaying a second menu matched with the food material information of other food materials except the food material required by the fourth menu in the at least one food material.

6. The method according to any one of claims 1 to 3,

the second menu is obtained by adjusting at least one of the components of the auxiliary food materials, the components of the seasonings, the cooking parameters and the auxiliary materials in the first menu.

7. The method according to any one of claims 1 to 3,

the at least one food material corresponds to a first food material type, a second food material type corresponding to the first recipe is more than a third food material type corresponding to a third recipe, the second food material type and the third food material type are both contained in the first food material type, and the third recipe is a recipe in a candidate recipe set of the intelligent cooking device.

8. The method according to any one of claims 1 to 3,

the at least one serving of food material corresponds to a first food material type, a second food material type corresponding to the first recipe corresponds to a third food material type, the similarity between the second food material type and the first food material type is a first similarity, the similarity between the third food material type and the first food material type is a second similarity, and the first similarity is greater than the second similarity.

9. The method of any one of claims 1-3, wherein the scanning at least one serving of food material to obtain food material information for each serving of food material comprises:

scanning a food material label on a package of each food material in at least one food material to obtain encryption information of each food material, wherein the encryption information is obtained by encrypting the food material information of the food material by using a private key;

and decrypting the encrypted information of each food material by using a prestored public key to obtain the food material information of each food material.

10. The method of claim 9,

when the food material information contains an anti-counterfeiting serial number, determining whether the anti-counterfeiting serial number exists in a database, wherein the serial number of a genuine food material is stored in the database;

11. A cooking method is characterized by being applied to intelligent cooking equipment, and the method comprises the following steps:

cooking according to the second recipe in response to the cooking instruction.

12. The method of claim 11, wherein prior to identifying the cooking instruction, further comprising:

displaying a diet plan comprising a second recipe corresponding to at least one cooking time point and matched with the food material information of the at least one food material;

identifying a fourth selection instruction for selecting a second recipe to be cooked from the dietary plan.

13. An intelligent cooking device, comprising: the body is provided with an accommodating cavity, and the body is also provided with a display, a processor and a memory for storing a computer program;

the processor to execute the computer program in the memory to: scanning at least one food material to obtain food material information of each food material;

14. The apparatus of claim 13,

the processor is further configured to identify a cooking instruction, and in response to the cooking instruction, cook according to the second recipe, where the cooking instruction is used to indicate the second recipe corresponding to the first recipe.