A digital recipe generation method and system suitable for intelligent kitchen system

Abstract

The present application relates to a digital recipe generation method and system applicable to a smart kitchen system, which includes entering a recipe creation mode, obtaining and identifying each ingredient information selected by a user in a dish, obtaining ingredient grade sorting information according to a preset sorting rule; judging the main dish ingredient information and side dish ingredient information in the ingredient grade sorting information according to a preset judgment rule; obtaining the user's selected taste information to match the corresponding cuisine library, and matching the most similar recipe according to the main dish ingredient information and the taste information according to the preset matching rule, replacing the ingredients of the most similar recipe according to the preset replacement rule, and generating a new digital recipe. The present application has the effect of realizing the function of automatically generating digital recipes from user-selected ingredients.

Description

Technical Field

[0001] The present application relates to the field of cooking recipe data processing, and in particular to a digital recipe generation method and system suitable for an intelligent kitchen system. Background Art

[0002] With the development of science and technology, artificial intelligence technology has entered people's lives, especially in the kitchen. Artificial intelligence equipment such as smart cooking utensils and kitchen robotic arms can increasingly replace manual labor. The premise for smart cooking utensils and kitchen robotic arms to work is that there are digital recipes, and the kitchen robotic arms can run the digital recipes to complete the cooking actions according to the digital recipes. Artificial intelligence devices generated by the same supplier can share a digital recipe library. As their use becomes more and more widespread, the digital recipe library is gradually enriched and expanded.

[0003] Among them, in dining in a buffet restaurant, there is a self-service mode called cooking mode, where people select their own ingredients, tell the chef their own tastes and then cook them. Due to the diversity of ingredients and people's diverse choices of ingredients, the selected ingredients are not suitable for cooking by smart cooking equipment with fixed and limited types of digital recipes. Therefore, how to automatically generate digital recipes for self-selected ingredients is an urgent problem to be solved in the industry. Summary of the invention

[0004] In order to realize automatic generation of digital recipes based on user-selected ingredients, the present application provides a digital recipe generation method and system suitable for a smart kitchen system.

[0005] In a first aspect, the present application provides a digital recipe generation method applicable to a smart kitchen system, which adopts the following technical solution:

[0006] A digital recipe generation method applicable to an intelligent kitchen system, comprising:

[0007] Enter the recipe creation mode, obtain and identify the information of each ingredient selected by the user in the dish, and obtain the ingredient ranking information according to the preset sorting rules;

[0008] Determine the main dish ingredient information and the side dish ingredient information in the ingredient ranking information according to a preset determination rule;

[0009] The user's selected taste information is obtained and matched to the corresponding cuisine library, and the most similar recipe is matched according to the main dish ingredient information and taste information according to the preset matching rules, and the ingredients of the most similar recipe are replaced according to the preset replacement rules to generate a new digital recipe.

[0010] By adopting the above technical solution, the food information selected by the user is identified and judged, the main dish food information and the side dish food information are selected, and the most similar recipe is matched according to the user's taste information and the main dish food information, and the corresponding ingredients are replaced in the most similar recipe, so as to realize the generation of a new digital recipe. In addition, since the taste and the general direction of the main dish are based on the existing recipe, this method effectively increases the success rate of cooking the new recipe.

[0011] Optionally, the step of entering the recipe creation mode, obtaining and identifying information of each ingredient selected by the user in the dish, and obtaining ingredient grade sorting information according to a preset sorting rule comprises:

[0012] Enter the recipe creation mode, trigger the acquisition of the dish image, identify the dish image to obtain the recognition result, and sort out the structured information of various ingredients according to the recognition result. The structured information of one kind of ingredient includes the name of the ingredient, the category of the ingredient, and the area ratio of the ingredient;

[0013] According to the preset importance weight ratio of each type of food, the area ratio of each type of food is multiplied by the importance weight ratio to obtain the food grade coefficient;

[0014] Sort the ingredient grade coefficients to obtain ingredient grade sorting information.

[0015] By adopting the above technical solution, the image recognition technology can quickly and accurately identify the structured information of the ingredients, and setting the ingredient grade coefficient for the ingredients can facilitate the distinction between the main dish ingredient information and the side dish ingredient information.

[0016] Optionally, before the step of multiplying the area ratio of each type of food by the preset importance weight ratio of each type of food to obtain the food grade coefficient, the step includes:

[0017] Get the current number of people dining at the restaurant, and proportionally reduce or increase the importance weights of various types of ingredients according to the preset increase and decrease rules for the ingredient categories.

[0018] By adopting the above technical solution, when multiple people select ingredients for cooking together, the types and quantities of ingredients increase accordingly, which may easily lead to the food grade coefficients of various ingredients gradually becoming consistent, resulting in large errors in the ingredient grade sorting information. Corresponding increase or reduction adjustments can effectively eliminate the errors.

[0019] Optionally, the step of acquiring the main dish ingredient information and the side dish ingredient information in the ingredient ranking information according to a preset judgment rule includes:

[0020] Compare each food grade coefficient with a preset threshold to determine whether it is greater than the preset threshold;

[0021] If the ingredient grade coefficient is greater than a preset threshold, the associated ingredient name is included in the main dish ingredient information.

[0022] By adopting the above technical solution, the preset threshold can distinguish the main dish ingredient information and the side dish ingredient information, thereby providing a matching option for selecting the most similar recipe.

[0023] Optionally, the step of obtaining the user-selected taste information to match the corresponding cuisine library, matching the most similar recipe according to the main dish ingredient information and the taste information according to a preset matching rule, replacing the ingredients of the most similar recipe according to a preset replacement rule, and generating a new digital recipe includes:

[0024] A number of replaceable ingredients are set for the main dishes in the recipes in different cuisine libraries, and a relevance value is set for the replaceable ingredients;

[0025] Obtain the user's selected taste information and match it with the corresponding cuisine library, match the main dish according to the main dish ingredient information with the main dish and its replaceable ingredients in the cuisine library, wherein the replaceable ingredients are matched one by one according to the height of the relevance value sorting, match the main dish according to the main dish ingredient information with the main dish and its replaceable ingredients in the cuisine library, and register them as basic recipes;

[0026] Replace the names of replaceable ingredients in the basic recipe accordingly, delete the names of the main dish ingredients that cannot be matched, replace the side dishes, and reduce the cooking steps accordingly to generate a new digital recipe;

[0027] The step of deleting the names of the main dishes that cannot be matched includes:

[0028] The main dish ingredient names that cannot be matched in the basic recipe are deleted, and at the same time, the main dish names that cannot be matched in the main dish ingredient information are classified as side dish information.

[0029] By adopting the above technical solution, the basic recipe is selected according to the user's taste information, which effectively increases the user's acceptance and preference for the new digital recipe. And stabilizing the main dish on the cooking operation process of the basic recipe can increase the practicality and success rate of the cooking taste.

[0030] Optionally, before the step of obtaining the taste information selected by the user, the following steps are included:

[0031] Based on the consumption frequency of the user's historical taste choices, the taste information is sorted by preference and recommended first.

[0032] By adopting the above technical solution, the efficiency of user flavor selection is effectively improved and the user experience is enhanced.

[0033] Optionally, before the step of generating a digital recipe, the following steps are included:

[0034] In basic recipes, adjust the time required for various ingredients to be cooked through accordingly.

[0035] By adopting the above technical solution, since the replaceable ingredients are replaced, the cooking time of each ingredient is different. Therefore, corresponding adjustments need to be made to effectively reduce the occurrence of food poisoning caused by undercooked ingredients.

[0036] In a second aspect, the present application provides a digital recipe generation system applicable to a smart kitchen system, which adopts the following technical solution:

[0037] A digital recipe generation system suitable for an intelligent kitchen system, comprising:

[0038] The recognition module is used to enter the recipe creation mode, obtain and recognize the information of each ingredient selected by the user in the dish, and obtain the ingredient ranking information according to the preset sorting rules;

[0039] A judgment module, used to judge the main dish ingredient information and the side dish ingredient information in the ingredient ranking information according to a preset judgment rule;

[0040] The matching module is used to obtain the user's selected taste information and match it with the corresponding cuisine library, and match the most similar recipe according to the main dish ingredient information and taste information according to the preset matching rules, replace the ingredients of the most similar recipe according to the preset replacement rules, and generate a new digital recipe.

[0041] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0042] An electronic device includes a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute the above-mentioned digital recipe generation method applicable to an intelligent kitchen system.

[0043] In a fourth aspect, the present application provides a computer storage medium, which adopts the following technical solution:

[0044] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the above-mentioned digital recipe generation method applicable to a smart kitchen system.

[0045] In summary, this application includes the following beneficial technical effects:

[0046] The user's selected ingredient information is identified and judged, the main dish ingredient information and the side dish ingredient information are selected, and the most similar recipe is matched according to the user's taste information and the main dish ingredient information, and the corresponding ingredients are replaced in the most similar recipe, thereby generating a new digital recipe. In addition, since the taste and the general direction of the main dish are based on the existing recipe, this method effectively increases the success rate of cooking new recipes. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is a flow chart of a digital recipe generation method suitable for a smart kitchen system according to one embodiment of the present application.

[0048] Figure 2 This is a specific step flow chart of step S1 in another embodiment of the present application.

[0049] Figure 3 This is a specific step flow chart of step S2 in another embodiment of the present application.

[0050] Figure 4 This is a specific step flow chart of step S3 in another embodiment of the present application.

[0051] Figure 5 This is a structural diagram of a digital recipe generation system suitable for an intelligent kitchen system according to one embodiment of the present application.

[0052] In the figure, 1. Recognition module; 2. Judgment module; 3. Matching module. DETAILED DESCRIPTION

[0053] The following is combined with Figure 1-5 This application is described in further detail.

[0054] In order to make the purpose, technical solutions and advantages of this application more clear, the following Figure 1-5 It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0055] Reference Figure 1 The present application embodiment discloses a digital recipe generation method applicable to a smart kitchen system, comprising the following steps:

[0056] S1. Enter the recipe creation mode, obtain and identify the information of each ingredient selected by the user in the dish, and obtain the ingredient ranking information according to the preset recognition rules.

[0057] Specifically, the digital recipe generation system has two modes, namely recipe creation mode and direct selection mode. The recipes in the direct selection mode are relatively simple, providing a total of steaming, boiling, spicy stir-fry, typhoon shelter, braised and other production modes. The user's preset time is obtained from the terminal. After selecting one of the production modes, regardless of the type of ingredients, the machine will uniformly mix the ingredients for production.

[0058] Creating a recipe mode requires identifying the information of each ingredient in the dish and obtaining the ingredient grade sorting information according to the preset sorting rules.

[0059] Figure 2 This is a flowchart of an optional implementation method of step S1 in the present disclosure, refer to Figure 2 , step S1 specifically includes the following steps S10, S11 and S12:

[0060] S10, entering the recipe creation mode, triggering the acquisition of the dish image, identifying the dish image to obtain a recognition result, and sorting out the structured information of various ingredients according to the recognition result. The structured information of one ingredient includes the name of the ingredient, the category of the ingredient, and the area ratio of the ingredient.

[0061] S11. According to the preset importance weight ratios of various types of food ingredients, the area ratios of various types of food ingredients are multiplied by their importance weight ratios to obtain food ingredient grade coefficients.

[0062] S12. Sort the ingredient grade coefficients to obtain ingredient grade sorting information.

[0063] Specifically, the ingredients can be divided into four categories: meat, seafood, cereals and potatoes, and vegetables. Among them, the main dishes are mostly meat and seafood, so a higher importance weight ratio is set, followed by cereals and potatoes, and vegetables are ranked last. In this embodiment, the image of the ingredients in the dish is recognized by the camera, so as to obtain the area ratio of each ingredient in the dish, and multiply it by the importance weight ratio to obtain the ingredient grade coefficient of each ingredient, and sort the ingredient grade coefficients from large to small to obtain the ingredient grade sorting information. Among them, in another embodiment, each ingredient can also be loaded to obtain the weight ratio, and then multiplied by the importance weight ratio set separately, so as to obtain the ingredient grade coefficient of each food, which is not limited here.

[0064] Furthermore, before step S11, the method also includes obtaining information on the current number of diners, and proportionally reducing or increasing the weight of each type of food according to preset increase and decrease rules based on the food categories.

[0065] Specifically, when multiple people select ingredients for cooking together, the types and quantities of ingredients will increase accordingly, which may easily cause the food grade coefficients of various ingredients to gradually become the same, resulting in large errors in the ingredient grade sorting information. In this regard, the number of diners information should be obtained from the terminal operation screen accordingly, and the importance weight ratio of meat and seafood ingredients should be increased in proportion to the number of diners information, while the importance weight ratio of cereals, potatoes and vegetables ingredients should be reduced in proportion to the number of diners information.

[0066] S2. Determine the main dish ingredient information and the side dish ingredient information in the ingredient ranking information according to a preset determination rule.

[0067] Specifically, a preset threshold is set for the ingredient ranking information, and the main dish ingredient information and the side dish ingredient information are divided according to the preset threshold.

[0068] Figure 3 This is a flow chart of an optional implementation method of step S2 in the present disclosure, refer to Figure 3 , step S2 specifically includes the following steps S20 and S21:

[0069] S20: Compare each food grade coefficient with a preset threshold to determine whether it is greater than the preset threshold.

[0070] S21. If the ingredient grade coefficient is greater than a preset threshold, the associated ingredient name is included in the main dish ingredient information.

[0071] Specifically, the grade coefficient of each ingredient is compared with a preset threshold value to determine whether the grade coefficient of each ingredient is greater than the preset threshold value. If the grade coefficient of the ingredient is greater than the preset threshold value, the associated ingredient name is included in the main dish ingredient information, otherwise, it is included in the side dish ingredient information. In another embodiment, after the main dish ingredient information and the side dish ingredient information are divided, they are sent to the touch screen terminal for the user to confirm again.

[0072] S3. Obtain the user's selected taste information to match the corresponding cuisine library, and match the most similar recipe according to the main dish ingredient information and taste information according to the preset matching rules, and replace the most similar recipe according to the preset rules to generate a digital recipe.

[0073] Specifically, the user's selected taste information is obtained from the touch screen terminal device and matched with the corresponding cuisine library, which is divided into eight cuisine libraries in this embodiment. The most similar recipe is matched according to the main dish ingredient information and taste information according to the preset matching rules, and the most similar recipe is replaced with the corresponding ingredients according to the preset replacement rules to generate a new digital recipe.

[0074] Figure 4 This is a flow chart of an optional implementation method of step S3 in the present disclosure, refer to Figure 4, step S3 specifically includes the following steps S30, S31 and S32:

[0075] S30, setting a number of replaceable ingredients for the main dishes in the recipes in the different cuisine libraries, and setting correlation values ​​for the replaceable ingredients.

[0076] S31. Obtain the user's selected taste information and match it with the corresponding cuisine library. Match the main dishes according to the main dish ingredient information with the main dishes and their replaceable ingredients in the cuisine library, wherein the replaceable ingredients are matched one by one according to the height of the relevance value sorting, and match the main dishes according to the main dish ingredient information with the main dishes and their replaceable ingredients in the cuisine library. The recipes with the same food names as the main dishes in the main dish ingredient information and the main dishes and their replaceable ingredients in the cuisine library are registered as basic recipes.

[0077] S32, the names of replaceable ingredients in the basic recipe are replaced accordingly, and the names of the main dish ingredients that cannot be matched are deleted. At the same time, the side dishes are replaced, and the cooking steps are also reduced accordingly to generate a new digital recipe.

[0078] Specifically, the cuisine library has several recipes, which register information such as main dishes, side dishes, and ingredients, as well as corresponding cooking operation procedures. In addition, several replaceable ingredients are set for the main dishes, and relevance values ​​are set for these replaceable ingredients. For the relevance value, among two recipes with the same replaceable ingredients but different relevances, the recipe with the higher relevance is more likely to be selected as the basic recipe. Selecting a basic recipe based on user taste information can increase the user's acceptance and liking of the new digital recipe. In addition, stabilizing the main dish on the cooking operation process on the basic recipe can increase the success rate and practicality of the cooking taste.

[0079] Among them, a flowchart of an optional implementation method of the step of deleting the names of the main dishes that cannot be matched in step S32 includes:

[0080] The main dish ingredient names that cannot be matched in the basic recipe are deleted, and at the same time, the main dish names that cannot be matched in the main dish ingredient information are classified as side dish information.

[0081] Specifically, there are always main dishes in the recipe that cannot be matched. If there are extra main dishes in the basic recipe, they are directly deleted. If there are extra main dishes in the main dish ingredient information, they are classified as side dishes.

[0082] In addition, before the step of obtaining the taste information selected by the user in step 3, the taste information is sorted by preference and recommended in priority in combination with the consumption frequency of the user's historical taste selections.

[0083] Specifically, when obtaining the taste information selected by the user, the taste information can be sorted by preference according to the consumption frequency of the user's previous historical taste records, so that the most preferred taste information is recommended first, thereby improving the user experience.

[0084] In addition, before the step of generating the digital recipe in step 32, the time required for the degree of doneness of various ingredients in the basic recipe is adjusted accordingly.

[0085] Specifically, before generating a digital recipe, since the ingredients are replaced, the cooking time of each ingredient is different. Therefore, it is necessary to make corresponding adjustments based on the time required for the ingredients to be cooked to reduce the occurrence of food poisoning caused by undercooked ingredients.

[0086] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0087] The present application also provides a digital recipe generation system applicable to a smart kitchen system. The digital recipe generation system applicable to a smart kitchen system corresponds one-to-one to the digital recipe generation method applicable to a smart kitchen system in the embodiment. Figure 5 The digital recipe generation system suitable for the intelligent kitchen system includes: an identification module 1, a judgment module 2 and a matching module 3. The detailed description of each functional module is as follows:

[0088] The recognition module 1 is used to enter the recipe creation mode, obtain and recognize the information of each ingredient selected by the user in the dish, and obtain the ingredient grade sorting information according to the preset sorting rules.

[0089] The judgment module 2 is used to judge the main dish ingredient information and the side dish ingredient information in the ingredient ranking information according to a preset judgment rule.

[0090] Matching module 3 is used to obtain the taste information selected by the user and match it with the corresponding cuisine library, and match the most similar recipe according to the main dish ingredient information and taste information according to the preset matching rules, replace the ingredients of the most similar recipe according to the preset replacement rules, and generate a new digital recipe.

[0091] Among them, after the digital recipe generation system for the smart kitchen system enters the recipe creation mode, the recognition module 1 is used to obtain and identify each ingredient information selected by the user in the dish, and then the ingredient level sorting information is obtained according to the preset sorting rules. Then the judgment module 2 is used to judge the main dish ingredient information and the side dish ingredient information in the ingredient level sorting information according to the preset judgment rules. Then, the user's selected taste information is obtained to match the corresponding cuisine library, and the matching module 3 is used to match the most similar recipe according to the preset matching rules based on the main dish ingredient information and the taste information, and the most similar recipe is replaced with ingredients according to the preset replacement rules to generate a new digital recipe.

[0092] For the specific definition of the digital recipe generation system applicable to the smart kitchen system, please refer to the definition of the digital recipe generation method applicable to the smart kitchen system in the context, which will not be repeated here. Each module in the above-mentioned digital recipe generation system applicable to the smart kitchen system can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the electronic device in the form of hardware, or can be stored in the memory of the electronic device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0093] The embodiment of the present application discloses an electronic device. An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the following steps are performed:

[0094] S1. Enter the recipe creation mode, obtain and identify the information of each ingredient selected by the user in the dish, and obtain the ingredient ranking information according to the preset recognition rules.

[0095] Step S1 includes:

[0096] S10, entering the recipe creation mode, triggering the acquisition of the dish image, identifying the dish image to obtain a recognition result, and sorting out the structured information of various ingredients according to the recognition result. The structured information of one ingredient includes the name of the ingredient, the category of the ingredient, and the area ratio of the ingredient.

[0097] S11. According to the preset importance weight ratios of various types of food ingredients, the area ratios of various types of food ingredients are multiplied by their importance weight ratios to obtain food ingredient grade coefficients.

[0098] S12. Sort the ingredient grade coefficients to obtain ingredient grade sorting information.

[0099] S2. Determine the main dish ingredient information and the side dish ingredient information in the ingredient ranking information according to a preset determination rule.

[0100] Step S2 includes:

[0101] S20: Compare each food grade coefficient with a preset threshold to determine whether it is greater than the preset threshold.

[0102] S21. If the ingredient grade coefficient is greater than a preset threshold, the associated ingredient name is included in the main dish ingredient information.

[0103] S3. Obtain the user's selected taste information to match the corresponding cuisine library, and match the most similar recipe according to the main dish ingredient information and taste information according to the preset matching rules, and replace the most similar recipe according to the preset rules to generate a digital recipe.

[0104] Step S3 includes:

[0105] S30, setting a number of replaceable ingredients for the main dishes in the recipes in the different cuisine libraries, and setting correlation values ​​for the replaceable ingredients.

[0106] S31. Obtain the user's selected taste information and match it with the corresponding cuisine library. Match the main dishes according to the main dish ingredient information with the main dishes and their replaceable ingredients in the cuisine library, wherein the replaceable ingredients are matched one by one according to the height of the relevance value sorting, and match the main dishes according to the main dish ingredient information with the main dishes and their replaceable ingredients in the cuisine library. The recipes with the same food names as the main dishes in the main dish ingredient information and the main dishes and their replaceable ingredients in the cuisine library are registered as basic recipes.

[0107] S32, the names of replaceable ingredients in the basic recipe are replaced accordingly, and the names of the main dish ingredients that cannot be matched are deleted. At the same time, the side dishes are replaced, and the cooking steps are also reduced accordingly to generate a new digital recipe.

[0108] An embodiment of the present application also discloses a computer-readable storage medium storing a computer program that can be loaded and executed by a processor. When the computer program is executed by the processor, the steps of any of the above-mentioned digital recipe generation methods applicable to the smart kitchen system are implemented and the same effect can be achieved.

[0109] The computer-readable storage medium includes, for example, a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0110] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A digital recipe generation method suitable for an intelligent kitchen system, characterized in that: include: Enter the recipe creation mode, trigger the acquisition of the dish image, identify the dish image to obtain the recognition result, and sort out the structured information of various ingredients according to the recognition result. The structured information of one kind of ingredient includes the name of the ingredient, the category of the ingredient, and the area ratio of the ingredient; According to the preset importance weight ratio of each type of food, the area ratio of each type of food is multiplied by the importance weight ratio to obtain the food grade coefficient; Sort the ingredient grade coefficients to obtain ingredient grade sorting information; The main dish ingredient information and the side dish ingredient information in the ingredient grade sorting information are judged according to a preset judgment rule; the judgment step includes comparing each ingredient grade coefficient with a preset threshold value to judge whether it is greater than the preset threshold value; If the ingredient grade coefficient is greater than a preset threshold, the associated ingredient name is included in the main dish ingredient information; A number of replaceable ingredients are set for the main dishes in the recipes in different cuisine libraries, and a relevance value is set for the replaceable ingredients; Obtain the user's selected taste information and match it with the corresponding cuisine library, match the main dish according to the main dish ingredient information with the main dish and its replaceable ingredients in the cuisine library, wherein the replaceable ingredients are matched one by one according to the height of the relevance value sorting, match the main dish according to the main dish ingredient information with the main dish and its replaceable ingredients in the cuisine library, and register them as basic recipes; Replace the names of replaceable ingredients in the basic recipe accordingly, delete the names of the main dish ingredients that cannot be matched, replace the side dishes, and reduce the cooking steps accordingly to generate a new digital recipe; The step of deleting the names of the main dishes that cannot be matched includes: The names of main dish ingredients that cannot be matched in the basic recipe are deleted. At the same time, the main dish names that cannot be matched in the main dish ingredient information are divided into side dish information to generate a new digital recipe.

2. A digital recipe generation method suitable for an intelligent kitchen system according to claim 1, characterized in that: Before the step of obtaining the food grade coefficient by multiplying the area ratio of each type of food by the weight ratio of importance according to the preset weight ratio of each type of food, the method includes: Get the current number of people dining at the restaurant, and proportionally reduce or increase the importance weights of various types of ingredients according to the preset increase and decrease rules for the ingredient categories.

3. A digital recipe generation method suitable for an intelligent kitchen system according to claim 1, characterized in that: Before the step of obtaining the taste information selected by the user, the method includes: Based on the consumption frequency of the user's historical taste choices, the taste information is sorted and recommended first.

4. A digital recipe generation method suitable for an intelligent kitchen system according to claim 1, characterized in that: Before the step of generating a new digital recipe, the method includes: In basic recipes, adjust the time required for various ingredients to be cooked through accordingly.

5. A digital recipe generation system suitable for an intelligent kitchen system, characterized in that: include: The recognition module (1) enters a recipe creation mode, triggers acquisition of a dish image, recognizes the dish image to obtain a recognition result, and sorts out structured information of various ingredients based on the recognition result, wherein the structured information of one type of ingredient includes the name of the ingredient, the category to which the ingredient belongs, and the area ratio of the ingredient; based on preset importance weight ratios of various types of ingredients, the area ratios of various types of ingredients are multiplied by the importance weight ratios to obtain ingredient grade coefficients; Sort the ingredient grade coefficients to obtain ingredient grade sorting information; A judgment module (2) is used to judge the main dish ingredient information and the side dish ingredient information in the ingredient grade sorting information according to a preset judgment rule, wherein the judgment step includes comparing each ingredient grade coefficient with a preset threshold value to judge whether it is greater than the preset threshold value; If the ingredient grade coefficient is greater than a preset threshold, the associated ingredient name is included in the main dish ingredient information; The matching module (3) is used to obtain the user's selected taste information and match it with the corresponding cuisine library, match the main dish according to the main dish ingredient information with the main dish and its replaceable ingredients in the cuisine library, wherein the replaceable ingredients are matched one by one according to the relevance value sorting height, match the main dish of the main dish ingredient information with the main dish and its replaceable ingredients in the cuisine library, and register them as basic recipes; replace the replaceable ingredient names in the basic recipes accordingly, and delete the main dish ingredient names that cannot be matched, and at the same time, replace the side dishes and reduce the cooking steps accordingly to generate a new digital recipe; wherein the step of deleting the main dish ingredient names that cannot be matched includes: The names of main dish ingredients that cannot be matched in the basic recipe are deleted. At the same time, the main dish names that cannot be matched in the main dish ingredient information are divided into side dish information to generate a new digital recipe.

6. An electronic device, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes a digital recipe generating method applicable to a smart kitchen system as claimed in any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The computer program that can be loaded by a processor and execute the digital recipe generation method applicable to the intelligent kitchen system as claimed in any one of claims 1 to 4 is stored.

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