Intelligent cooking method based on user information and intelligent cooking apparatus

Abstract

The present invention provides an intelligent cooking method based on user information and an intelligent cooking apparatus. A user information and a healthy cooking AI large model are comprised; the user information and the healthy cooking AI large model are applied to the intelligent cooking apparatus; the intelligent cooking apparatus is provided with a user health sensing device, an environment sensing device, an information collection module, a voice interaction module, a touch screen, a storage module, a processor, and a wireless communication module; and the healthy cooking AI large model analyzes and is trained to generate a new healthy cooking method or a new menu suitable for the physical condition of a user or the environment where the user is located, and sends the new healthy cooking method or the new menu to a user mobile terminal or the touch screen by means of the wireless communication module for food cooking. According to the present invention, a new healthy cooking method or a new menu suitable for the physical condition of a user or the environment where the user is located is generated on the basis of user information, so that the requirement of the user for the food taste is met, and the requirement of the user for healthy food is met.

Description

Intelligent cooking method and intelligent cooking device based on user information Technical Field

[0001] The present invention relates to a cooking method and an intelligent cooking device, and in particular to an intelligent cooking method and an intelligent cooking device based on user information. Background Art

[0002] "Eating" coexists with humans and is an indispensable part of ensuring people's lives. When talking about "eating", the first thing that comes to mind is "why do we need to eat"?

[0003] Everyone's answer is nothing more than to live. The more professional answer is definitely to eat in order to take in enough nutrients needed to maintain the normal functioning of the body. "Eating well and eating right" will certainly be beneficial to physical and mental health. If "eating unscientifically and unreasonably" is done, it will definitely threaten one's physical health.

[0004] When it comes to "eating enough and eating well", everyone's answers are definitely different. If we talk about it from a nutritional perspective, "eating enough" means that the body's calorie needs are met, and "eating well" means that the nutrition we get from our daily diet and the nutrition consumed by the body's growth, physiological activities, physical labor and mental labor are in a balanced state. The body's metabolism can proceed normally, ensuring nutrition while prolonging life.

[0005] Healthy eating depends not only on the food itself, but also on the physical condition of the eater and the environment in which he lives.

[0006] The current development of high technology has solved the problem of Chinese people having enough food, but there is still a lot of room for improvement in eating well, eating healthily and cooking healthily.

[0007] Since everyone's knowledge about eating well, eating healthily and cooking healthily is limited, and not many people can deal with eating well, eating healthily and cooking healthily in a rational way, the use of artificial intelligence technology to solve our lack of knowledge about eating well, eating healthily and cooking healthily and to deal with problems scientifically is still in the exploratory stage. Technical issues

[0008] The current development of high technology has solved the problem of Chinese people having enough food, but there is still a lot of room for improvement in eating well, eating healthily and cooking healthily. Technical Solutions

[0009] In order to solve the above-mentioned problems in the prior art, the present invention provides an intelligent cooking method based on user information, which is characterized by comprising user information and a healthy cooking AI big model, wherein the user information and the healthy cooking AI big model are applied to an intelligent cooking device, and the intelligent cooking device is provided with a user health status sensing device, an environment sensing device, an information collection module, a voice interaction module, a touch screen, a storage module, a processor and a wireless communication module, wherein the information collection module, the user health status sensing device, the environment sensing device, the voice interaction module, the touch screen, the storage module and the wireless communication module are electrically connected to the processor, and the user information comprises user cooking demand information, user body The user's physical health information or the user's environmental information, the information collection module, the voice interaction module or the touch screen is used to obtain the user's cooking demand information, the user's health status sensing device is used to obtain the user's physical health information, the user's physical health information includes facial features, heart rate data, blood pressure index, blood oxygen concentration or hoarseness, the environmental sensing device is used to obtain the user's environmental information, the user's environmental information includes solar terms, seasons, regional locations, weather conditions or temperature and humidity conditions, the healthy cooking AI big model combines the user's physical health information, the user's environmental information or the user's cooking demand information to analyze and train to generate a cooking method suitable for the user's physical condition or user The new healthy cooking method or new recipe is generated based on the user's physical condition or the user's environmental conditions, and the new healthy cooking method or new recipe is sent to the user's mobile terminal or the touch screen through the wireless communication module. The new healthy cooking method includes a cooking operation station, cooking work steps, cooking parameters or cooking operation instructions that require user cooperation. The new recipe includes a food cooking recipe that is suitable for the user's physical condition or the user's environmental conditions. The healthy cooking AI big model generates a new healthy cooking method or new recipe that is suitable for the user's physical condition or the user's environmental conditions, including two steps: building a healthy cooking AI big model and calling the healthy cooking AI big model. The building of the healthy cooking AI big model includes six steps: collecting data, preprocessing data, selecting Select an AI big model that can be applied to healthy cooking, train the healthy cooking AI big model, verify and test the healthy cooking AI big model, and deploy and maintain the healthy cooking AI big model. The calling of the healthy cooking AI big model includes assembling query statements, the healthy cooking AI big model performing reasoning operations, and the healthy cooking AI big model returning results. After the reasoning operation of the healthy cooking AI big model is completed, the new healthy cooking method or new recipe is sent to the user mobile terminal or the touch screen through the wireless communication module. The user confirms the new healthy cooking method or new recipe by operating the user mobile terminal or the touch screen. The intelligent cooking device cooks food according to the new healthy cooking method and prompts the user to complete the cooking operation instructions that require the user's cooperation.

[0010] As an improvement to the user information-based intelligent cooking method of the present invention, the user can input the user's physical health information, the user's environmental information, and the user's cooking demand information in voice, video, text, picture or 3D model format through the information collection module, the voice interaction module and the touch screen. The intelligent cooking device pushes the user's physical health information, the user's environmental information or the user's cooking demand information to the healthy cooking AI big model. The healthy cooking AI big model combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method to the user's mobile terminal or the touch screen through the wireless communication module.

[0011] As an improvement to the user information-based intelligent cooking method of the present invention, the intelligent cooking device detects the user's physical health information and the user's environmental information through the user's health sensing device and the environmental sensing device. The intelligent cooking device pushes the user's physical health information and the user's environmental information to the healthy cooking AI big model. The healthy cooking AI big model analyzes and trains the user's physical health information and the user's environmental information to generate a new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new recipe to the user's mobile terminal or the touch screen through the wireless communication module. The user confirms the new recipe by operating the user's mobile terminal or the touch screen. The healthy cooking AI big model analyzes and trains the new recipe to generate a new healthy cooking method, and sends the new healthy cooking method to the user's mobile terminal or the touch screen through the wireless communication module.

[0012] As an improvement of the user information-based intelligent cooking method of the present invention, the intelligent cooking device pushes the user's physical health information, the user's environmental information, and the user's cooking demand information to the healthy cooking AI big model on the cloud platform through a wireless communication module. The healthy cooking AI big model on the cloud platform combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method or new recipe to the user's mobile terminal or the touch screen through the cloud platform. The healthy cooking AI big model is deployed and maintained on the cloud platform.

[0013] As an improvement to the user information-based intelligent cooking method of the present invention, the intelligent cooking device pushes the user's physical health information, the user's environmental information, and the user's cooking demand information to the healthy cooking AI big model in the storage module through a processor. The healthy cooking AI big model in the storage module combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method or new recipe to the user's mobile terminal or the touch screen through a wireless communication module. The healthy cooking AI big model is deployed and maintained in the storage module.

[0014] As an improvement to the user information-based intelligent cooking method of the present invention, the intelligent cooking device is installed with a self-developed program, which obtains the user's health status information and the user's environment information by calling the API of a third-party software.

[0015] As an improvement to the user information-based intelligent cooking method of the present invention, the construction of a healthy cooking AI big model includes:

[0016] The first step is to collect healthy cooking data: collect all information related to healthy food cooking methods in the form of voice, video, text, pictures or 3D models. The content includes all food cooking methods, the relationship between physical health conditions and healthy food cooking methods, and the relationship between weather and environmental conditions and healthy food cooking methods.

[0017] Step 2: Preprocessing healthy cooking data: All collected information on healthy cooking methods is preprocessed to ensure its integrity and usability. This includes converting information in different formats into text and editing the text according to a specific format to facilitate subsequent training of the AI ​​model.

[0018] Step 3: Select AI models applicable to cooking: Select domestic and international third-party AI models, and measure them using accuracy, response speed, and diversity indicators;

[0019] Step 4: Train the healthy cooking AI model: After organizing the healthy cooking dataset in step 2, fine-tune the healthy cooking dataset using a third-party AI model. After training, a healthy cooking AI model containing all relevant data on healthy cooking methods is generated.

[0020] Step 5: Verify and test the healthy cooking AI big model: Perform a task-specific performance test on the healthy cooking AI big model generated in step 4. If the performance fails, repeat steps 1, 2, 3, and 4 and retrain until the performance passes. Generate the healthy cooking AI big model and deploy it on the cloud platform or in the storage module of the smart cooking device.

[0021] Step 6. Deploy and maintain the healthy cooking AI big model: Deploy the newly generated healthy cooking AI big model to the cloud platform or the storage module of the smart cooking device, and carry out continuous maintenance and updates, and update the data regularly to ensure the timeliness and accuracy of the data.

[0022] As an improvement of the intelligent cooking method based on user information of the present invention, the third step selects an AI large model that can be applied to healthy cooking. The selected AI large model is the Baichuan2-13B AI large model. The parameters of the AI ​​large model are as follows: hidden layer dimension: 5,120, number of layers: 40, number of attention heads: 40, vocabulary size: 64,000, total number of parameters: 13,264,901,120, training data (tokens): 1.4 trillion, position encoding: ALiBi, maximum length: 4,096.

[0023] As an improvement to the user information-based intelligent cooking method of the present invention, the training process of the healthy cooking AI large model in the fourth step is as follows: first, download the model weights of Baichuan13b from huggingface, then download the belle datasets train_0 and 5M_CN to the local computer and put them in the dataset folder under the project directory, and finally run the sft_lora.py script. Then, quantize Baichuan LLM using qlora's nf4 and double quantization methods. Finally, use lora to fine-tune the instructions.

[0024] As an improvement to the user information-based intelligent cooking method of the present invention, calling the healthy cooking AI big model specifically includes the following steps:

[0025] The first step is to assemble the query statement and pass the collected user health information and user environment information to the healthy cooking AI model.

[0026] The second step is for the healthy cooking AI big model to perform inference operations: The query statement is passed to the healthy cooking AI big model, which then performs inference operations. This involves the following steps:

[0027] 1) Understanding the input: Distributed semantic parsing first receives a text sequence and converts it into word vectors. This process is based on the distributed semantics assumption that the meaning of a word is determined by its context.

[0028] 2) Parameter association: context-focus chaining, inputting these word vectors into the Transformer Encoder to generate context representation;

[0029] 3) Generate Answers: Generative probabilistic modeling: The model initializes the Transformer's decoder and feeds the encoder output and the current output sequence into the decoder. The decoder generates a probability distribution for the next word and selects the word with the highest probability or another set probability distribution as the output. This word is then appended to the output sequence.

[0030] 4) Select the most appropriate answer: Dynamic word string evolution, repeat the above steps, adding new words to the output sequence each time, until a complete output sequence is generated;

[0031] Step 3. The healthy cooking AI big model returns the result: After the healthy cooking AI big model completes the inference operation, it returns the information related to the new healthy cooking method or new recipe and the operation instructions of the new healthy cooking method or new recipe, including providing the user with content in text, picture, audio, video or 3D model format.

[0032] In order to solve the above-mentioned problems of the prior art, the present invention provides an intelligent cooking device, which is characterized by being provided with a user health status sensing device, an environment sensing device, an information collection module, a voice interaction module, a touch screen, a storage module, a processor and a wireless communication module. The information collection module, the user health status sensing device, the environment sensing device, the voice interaction module, the touch screen, the storage module, the wireless communication module are electrically connected to the processor, a healthy cooking AI large model is deployed in the storage module or the wireless communication module is connected to a healthy cooking AI large model deployed on a cloud platform, the information collection module, the voice interaction module or the touch screen is used to collect information collected by the user through voice, video, text, image, All relevant user cooking demand information input in the form of a picture or 3D model, the user health status sensing device is used to obtain the user's physical health status information, the environmental sensing device is used to obtain the user's environmental information, the healthy cooking AI big model combines the user's physical health status information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, the processor is connected to the cloud platform and the user's mobile terminal through the wireless communication module, and the processor is used to execute the new healthy cooking method or new recipe generated by the healthy cooking AI big model in claim 1, 2 or 3 and prompt the user to confirm the cooking operation instructions.

[0033] As an improvement to the intelligent cooking device of the present invention, the user health status sensing device includes an AI camera, a voice recognition device, a heart rate sensor, a body temperature sensor, a blood pressure sensor or a blood oxygen sensor, and the AI ​​camera, the voice recognition device, the heart rate sensor, the body temperature sensor, the blood pressure sensor, and the blood oxygen sensor are electrically connected to the processor.

[0034] As an improvement to the intelligent cooking device of the present invention, the environmental sensing device includes a meteorological sensor, a temperature sensor, a humidity sensor, a GPS device, a light sensor or a gas sensor, and the meteorological sensor, the temperature sensor, the humidity sensor, the GPS device, the light sensor or the gas sensor is electrically connected to the processor.

[0035] As an improvement of the intelligent cooking device of the present invention, the intelligent cooking device of the present invention is provided with cooking operation stations for stir-frying, sautéing, stir-frying, deep-frying, cooking, frying, sticking, roasting, braising, stewing, steaming, blanching, boiling, stewing, sautéing, mixing, marinating, roasting, braising, freezing, pulling out silk, honey-glazing, smoking, rolling, sliding or baking.

[0036] As an improvement to the intelligent cooking device of the present invention, the cooking operation stations of stir-frying, sautéing, deep-frying, cooking, frying, sticking, roasting, braising, stewing, steaming, blanching, boiling, stewing, sautéing, mixing, marinating, roasting, braising, freezing, candied food, honey-glazed food, smoking, rolling, sliding or baking are provided with corresponding operation detection feedback systems, which are used to detect whether the cooking operations performed by the user meet the requirements of the new healthy cooking method of the healthy cooking AI model.

[0037] The present invention provides an intelligent cooking method and intelligent cooking device based on user information, which have the following beneficial effects: the present invention collects user cooking demand information through the information collection module, the voice interaction module or the touch screen, collects user physical health information through the user health status sensing device, and uses the environmental sensing device to obtain user environmental information. The healthy cooking AI big model deployed in the storage module or the healthy cooking AI big model deployed on the cloud platform is combined with the user physical health status information, the user environmental information or the user cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, which not only meets the user's food taste requirements, but also meets the user's food health requirements. Beneficial effects

[0038] The present invention provides an intelligent cooking method and intelligent cooking device based on user information, which have the following beneficial effects: the present invention collects user cooking demand information through the information collection module, the voice interaction module or the touch screen, collects user physical health information through the user health status sensing device, and uses the environmental sensing device to obtain user environmental information. The healthy cooking AI big model deployed in the storage module or the healthy cooking AI big model deployed on the cloud platform is combined with the user physical health status information, the user environmental information or the user cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, which not only meets the user's food taste requirements, but also meets the user's food health requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] FIG1 is a flowchart of a preferred embodiment of an intelligent cooking method and an intelligent cooking device based on user information according to the present invention.

[0040] FIG2 is a flowchart of another embodiment 1 of the intelligent cooking method and intelligent cooking device based on user information of the present invention.

[0041] FIG3 is a flowchart of another embodiment 2 of the intelligent cooking method and intelligent cooking device based on user information of the present invention.

[0042] FIG4 is a flowchart of another third embodiment of the intelligent cooking method and intelligent cooking device based on user information of the present invention.

[0043] FIG5 is a flowchart of another fourth embodiment of the intelligent cooking method and intelligent cooking device based on user information of the present invention.

[0044] FIG6 is a flowchart of another fifth embodiment of the intelligent cooking method and intelligent cooking device based on user information of the present invention.

[0045] FIG7 is a flowchart of a user health status sensing device in a preferred embodiment of the intelligent cooking method and intelligent cooking device based on user information of the present invention.

[0046] FIG8 is a flowchart of the working process of the environment sensing device of the preferred embodiment of the intelligent cooking method and intelligent cooking device based on user information of the present invention. Best Mode for Carrying Out the Invention

[0047] The present invention is further described below in conjunction with Figures 1-8 and specific implementation methods and other embodiments. It should be noted that, under the premise of no conflict, the various technical features described below can be arbitrarily combined to form new embodiments.

[0048] In a preferred embodiment, referring to FIG1 , the present invention provides an intelligent cooking method based on user information, characterized in that it includes user information and a healthy cooking AI big model, the user information and the healthy cooking AI big model are applied to an intelligent cooking device, the intelligent cooking device is provided with a user health status sensing device 13, an environment sensing device 14, an information collection module 15, a voice interaction module 16, a touch screen 17, a storage module 9, a processor 11 and a wireless communication module 10, the information collection module 15, the user health status sensing device 13, the environment sensing device 14, the voice interaction module 16, the touch screen 17, the storage module 9, the wireless communication module 10 and the processor 11 are electrically connected. The user information includes user cooking demand information, user health information or user environment information. The information collection module 15, the voice interaction module 16 or the touch screen 17 is used to obtain the user's cooking demand information. The user's cooking demand information includes the food information provided by the user and the cooking method of the food, such as braised eggplant, stir-fried choy sum, etc. The user health sensing device 13 is used to obtain the user's health information. The user's health information includes facial features, heart rate data, blood pressure index, blood oxygen concentration or hoarseness. The environment sensing device 14 is used to obtain the user's environment information. The user's environment information includes solar terms, seasons, regional locations, weather conditions or temperature and humidity. The healthy cooking AI big model combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental conditions, and sends the new healthy cooking method or new recipe to the user's mobile terminal 20 or the touch screen 17 through the wireless communication module 10. The new healthy cooking method includes a cooking operation station, cooking work steps, cooking parameters or cooking operation instructions that require the cooperation of the user 18. The new recipe includes a cooking recipe with ingredients suitable for the user's physical condition or the user's environmental conditions, wherein the healthy cooking AI big model generates a new healthy cooking method suitable for the user's physical condition or the user's environmental conditions. The cooking method or new recipe includes two steps: building a healthy cooking AI big model 21 and calling a healthy cooking AI big model 22. The building of the healthy cooking AI big model 21 includes six steps: collecting data, preprocessing data, selecting an AI big model that can be applied to healthy cooking, training the healthy cooking AI big model, verifying and testing the healthy cooking AI big model, and deploying and maintaining the healthy cooking AI big model. The calling of the healthy cooking AI big model 22 includes assembling query statements, the healthy cooking AI big model performing reasoning operations, and the healthy cooking AI big model returning results. The new healthy cooking method or new recipe is sent to the user mobile terminal 20 or the touch screen 17 through the wireless communication module 10 after the healthy cooking AI big model completes the reasoning operation.The user 18 confirms the new healthy cooking method or new recipe by operating the user mobile terminal 20 or the touch screen 17. The intelligent cooking device cooks the food according to the new healthy cooking method and prompts the user 18 to complete the cooking operation instructions that require the user's cooperation, including selecting a cooking operation station, completing cooking work steps, completing cooking parameter confirmation, etc. When the user 18 uses the intelligent cooking device, the user health status information obtained by the user health status sensing device 13 is sent to the healthy cooking AI big model. For example, the healthy cooking AI big model analyzes and determines that the user 18 has symptoms of hypertension, and the diet of people with hypertension should be low in salt and low in fat. The healthy cooking AI big model combines the user's health status information for analysis and training to generate the new healthy cooking method or new recipe suitable for people with hypertension. After confirmation by the user 18, the intelligent cooking device cooks the ingredients. The healthy cooking AI big model can also analyze and determine the user's environmental information obtained by the environmental sensing device 14. For example, the healthy cooking AI big model analyzes and determines that the user 18 is in the Northeast and it is currently the cold winter season, and the diet should be nourishing and warm. The healthy cooking AI big model will combine the local food culture of the Northeast and the current seasonal dietary health concept to analyze and generate the new healthy cooking method or new recipe. After confirmation by the user 18, the smart cooking device will cook the ingredients. The healthy cooking AI big model can also obtain the user's cooking demand information based on the information collection module 15, the voice interaction module 16 or the touch screen 17 to analyze and generate a new healthy cooking method or new recipe. After confirmation by the user 18, the smart cooking device will cook the ingredients. In a specific implementation, the user 18 can select one or more combinations of user cooking demand information, user physical health information or user environment information to send to the healthy cooking AI big model for analysis and generation of the new healthy cooking method or new recipe.

[0049] In a preferred embodiment, the user 18 can input the user's physical health information, the user's environmental information, and the user's cooking demand information in the form of voice, video, text, picture or 3D model through the information collection module 15, the voice interaction module 16 and the touch screen 17. The intelligent cooking device pushes the user's physical health information, the user's environmental information or the user's cooking demand information to the healthy cooking AI big model. The healthy cooking AI big model combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method to the user's mobile terminal 20 or the touch screen 17 through the wireless communication module 10. For example, in the summer in Guangdong, the user 18 has poor sleep quality in the past few days. The user 18 can input the user's physical health information in the form of voice, video, text, picture or 3D model through the information collection module 15, the voice interaction module 16 and the touch screen 17 as follows: everything is normal but the sleep quality is poor, and input the user's environmental information as follows: Guangdong area, summer, sunny weather, temperature 37 degrees, south wind level 2, and input the user's cooking demand information as follows: take care of the body. The healthy cooking AI model combines the user's physical health information, the user's environmental information and the user's cooking demand information for analysis and training to generate a new healthy cooking method. After confirmation by the user 18, the intelligent cooking device will cook the ingredients. In addition, user 18 can also enter their own health information or environmental information into the smart cooking device to create an information profile for user 18. Each subsequent time the device is used, the healthy cooking AI model will analyze and train the user's health information or environmental information and the user's cooking needs to generate new healthy cooking methods suitable for the user's health or environmental conditions. For example, if user 18 is diabetic, after user 18 establishes a health information profile for the smart cooking device, the healthy cooking AI model will analyze and train the user's dietary precautions and cooking needs to generate new healthy cooking methods each time the device is used. For another example, if user 18 is from Chaoshan, after user 18 establishes an environmental information profile for the smart cooking device, the healthy cooking AI model will analyze and train the user's dietary culture and cooking needs to generate new healthy cooking methods each time the device is used. The smart cooking device can recommend new recipes based on the current or nearby solar terms. The smart cooking device recommends new recipes based on the current solar term and other user information.

[0050] In a preferred embodiment, the intelligent cooking device detects the user's physical health information and the user's environmental information through the user health sensing device 13 and the environmental sensing device 14. The intelligent cooking device pushes the user's physical health information and the user's environmental information to the healthy cooking AI big model. The healthy cooking AI big model analyzes and trains the user's physical health information and the user's environmental information to generate a new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new recipe to the user's mobile terminal 20 or the touch screen 17 through the wireless communication module 10. The user 18 confirms the new recipe by operating the user's mobile terminal 20 or the touch screen 17. The healthy cooking AI big model analyzes and trains the new recipe to generate a new healthy cooking method, and sends the new healthy cooking method to the user's mobile terminal 20 or the touch screen 17 through the wireless communication module 10. When user 18 uses the smart cooking device, the environmental sensing device 14 detects information about the user's environment through relevant sensors. The user health sensing device 13 detects information about the user's physical health by touching the user's limbs, collecting the user's voice, or by using a device worn by the user. For example, when user 18 places their hand on the user health sensing device 13, the user health sensing device 13 detects the user's facial features, heart rate data, blood pressure index, and blood oxygen concentration. When user 18 uses the voice interaction module 16, the user's hoarseness is detected. The healthy cooking AI model combines the detected information about the user's physical health and the user's environment for analysis and training to generate a new recipe suitable for the user's physical condition or the user's environmental conditions. After confirmation by user 18, the healthy cooking AI model generates a new healthy cooking method based on the new recipe. After confirmation by user 18, the smart cooking device cooks the ingredients.

[0051] In a preferred embodiment, the intelligent cooking device pushes the user's physical health information, the user's environmental information, and the user's cooking demand information to the healthy cooking AI big model on the cloud platform 19 through the wireless communication module 10. The healthy cooking AI big model on the cloud platform 19 combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method or new recipe to the user's mobile terminal 20 or the touch screen 17 through the cloud platform 19. The healthy cooking AI big model is deployed and maintained on the cloud platform 19.

[0052] In other embodiment five, the intelligent cooking device pushes the user's physical health information, the user's environmental information, and the user's cooking demand information to the healthy cooking AI big model in the storage module 9 through the processor 11. The healthy cooking AI big model in the storage module 9 combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method or new recipe to the user's mobile terminal 20 or the touch screen 17 through the wireless communication module. The healthy cooking AI big model is deployed and maintained in the storage module 9.

[0053] In a preferred embodiment, the intelligent cooking device is installed with a self-developed program, and obtains the user's health status information and the user's environment information by calling the API 12 of a third-party software.

[0054] In a preferred embodiment, the construction of the healthy cooking AI big model 21 includes:

[0055] Step 1: Collect healthy cooking data: Collect all information related to healthy cooking methods of ingredients in the form of voice, video, text, pictures or 3D models. This includes information on all food cooking methods, the relationship between physical health and healthy cooking methods of ingredients, and the relationship between weather and environmental conditions and healthy cooking methods of ingredients.

[0056] Step 2: Preprocessing healthy cooking data: All collected information on healthy cooking methods for ingredients is preprocessed to ensure its integrity and usability. This includes converting information in different formats into text and editing the text information according to a specific format to facilitate subsequent training of the AI ​​model.

[0057] Step 3: Select AI models applicable to cooking: Select domestic and international third-party AI models, and measure them using accuracy, response speed, and diversity indicators;

[0058] Step 4: Train the healthy cooking AI model: After organizing the healthy cooking dataset in step 2, fine-tune the healthy cooking dataset using a third-party AI model. After training, a healthy cooking AI model containing all relevant data on healthy cooking methods is generated.

[0059] Step 5: Verify and test the healthy cooking AI big model: Perform a specific task effect test and evaluation on the healthy cooking AI big model generated in step 4. If the evaluation effect fails, continue to repeat steps 1, 2, 3, and 4 and retrain until the effect evaluation passes. Generate a healthy cooking AI big model and store it in the cloud platform 19 or the storage module 9 of the intelligent cooking device;

[0060] Step 6. Deploy and maintain the healthy cooking AI big model: Deploy the newly generated healthy cooking AI big model to the cloud platform 19 or the storage module 9 of the smart cooking device, and carry out continuous maintenance and updates, and update the data regularly to ensure the timeliness and accuracy of the data.

[0061] In a preferred embodiment, the third step selects an AI big model that can be applied to healthy cooking. The selected AI big model is the Baichuan2-13B AI big model. The parameters of the AI ​​big model are as follows: hidden layer dimension: 5,120, number of layers: 40, number of attention heads: 40, vocabulary size: 64,000, total number of parameters: 13,264,901,120, training data (tokens): 1.4 trillion, position encoding: ALiBi, maximum length: 4,096.

[0062] In a preferred embodiment, the training process of the fourth step of training the healthy cooking AI large model is as follows: first, download the model weights of baichuan13b from huggingface, then download the belle datasets train_0 and 5M_CN to the local computer and put them in the dataset folder under the project directory, and finally run the sft_lora, py script. Then, quantize Baichuan LLM using qlora's nf4 and double quantization methods, and finally, use lora to fine-tune the instructions.

[0063] In a preferred embodiment, the calling of the healthy cooking AI model 22 specifically includes the following steps:

[0064] The first step is to assemble the query statement and pass the collected user health information and user environment information to the healthy cooking AI model.

[0065] The second step is for the healthy cooking AI big model to perform inference operations: The query statement is passed to the healthy cooking AI big model, which then performs inference operations. This involves the following steps:

[0066] 1) Understanding the input: Distributed semantic parsing first receives a text sequence and converts it into word vectors. This process is based on the distributed semantics assumption that the meaning of a word is determined by its context.

[0067] 2) Parameter association: context-focus chaining, inputting these word vectors into the Transformer Encoder to generate context representation;

[0068] 3) Generate Answers: Generative probabilistic modeling: The model initializes the Transformer's decoder and feeds the encoder output and the current output sequence into the decoder. The decoder generates a probability distribution for the next word and selects the word with the highest probability or another set probability distribution as the output. This word is then appended to the output sequence.

[0069] 4) Select the most appropriate answer: Dynamic word string evolution, repeat the above steps, adding new words to the output sequence each time, until a complete output sequence is generated;

[0070] Step 3. The healthy cooking AI big model returns the result: After the healthy cooking AI big model completes the inference operation, it returns the information related to the new healthy cooking method or new recipe and the operation instructions of the new healthy cooking method or new recipe, including providing the user with 18 text, pictures, audio, video or 3D model formats.

[0071] The present invention provides an intelligent cooking device, characterized in that it is provided with a user health sensing device 13, an environment sensing device 14, an information collection module 15, a voice interaction module 16, a touch screen 17, a storage module 9, a processor 11 and a wireless communication module 10. The information collection module 15, the user health sensing device 13, the environment sensing device 14, the voice interaction module 16, the touch screen 17, the storage module 9, the wireless communication module 10 are electrically connected to the processor 11, a healthy cooking AI large model is deployed in the storage module 9 or the wireless communication module 10 is connected to the healthy cooking AI large model deployed on the cloud platform, the information collection module 15, the voice interaction module 16 or the touch screen 17 is used to collect user 18 through voice, video , text, picture or 3D model format input of all relevant user cooking demand information, the user health status sensing device 13 is used to obtain the user's physical health status information, the environmental sensing device 14 is used to obtain the user's environmental information, the healthy cooking AI big model combines the user's physical health status information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, the processor 11 is connected to the cloud platform 19 and the user mobile terminal 20 through the wireless communication module 10, and the processor 11 is used to execute the new healthy cooking method or new recipe generated by the healthy cooking AI big model in claim 1 or 2 or 3 and prompt the user 18 to confirm the cooking operation instructions.

[0072] In a preferred embodiment, the user health status sensing device 13 includes an AI camera 131, a voice recognition device 132, a heart rate sensor 133, a body temperature sensor 134, a blood pressure sensor 135, or a blood oxygen sensor 136. The AI ​​camera 131, the voice recognition device 132, the heart rate sensor 133, the body temperature sensor 134, the blood pressure sensor 135, and the blood oxygen sensor 136 are electrically connected to the processor 11. The specific scheme for the user health status sensing device 13 to detect the user's physical health status information is as follows:

[0073] 1) The AI ​​camera 131 is used to collect the user's health information.

[0074] A high-resolution AI camera 131, such as 4K or higher, is selected to capture clear images. Computer vision algorithms can be used for face detection and recognition to obtain information about the user's physical health. Comparative analysis can also be performed by detecting information such as the skin color, skin, eyes, and lips of the user's 18 face to determine the user's physical health. For example, the AI ​​camera 131 detects the user's 18 face and transmits the facial detection information to the healthy cooking AI model. The healthy cooking AI model analyzes the facial detection information and finds that the user 18 has several pimples on his face. It determines that the change in the user's 18 complexion may be due to infection, acne, or excessive hormone secretion. The user should avoid spicy, irritating, greasy, and high-sugar foods. The healthy cooking AI model will then recommend some new healthy cooking methods or recipes that are light and low in sugar to the user 18. In another embodiment, when user 18 uses the smart cooking device for the second time (the interval between the two times is more than 8 hours), the AI ​​camera 131 detects the face of user 18 and transmits the facial detection information to the healthy cooking AI big model. The healthy cooking AI big model compares and analyzes the facial detection information of user 18 this time with the facial detection information of user 18 stored in the database for the previous time, and finds that the complexion of user 18 this time is darker than the previous time and has more dark circles. It is determined that the change in the complexion of user 18 may be due to insomnia or staying up late. In terms of diet, the user should take foods rich in tryptophan to inhibit brain excitement and improve sleep, and take foods rich in B vitamins to regulate metabolism, enhance nervous system function, eliminate irritability, and help sleep. The healthy cooking AI big model will recommend some new healthy cooking methods or new recipes rich in tryptophan, B vitamins, and calcium to user 18, such as eating lean meat millet porridge, pumpkin seed shrimp oatmeal porridge, lean meat and seaweed soup, etc.

[0075] 2) The technical solution for the voice recognition device 132 to collect the voice of the user 18:

[0076] Integrate advanced voice recognition engines, such as Google's voice recognition API or Baidu's voice recognition API. These APIs can convert the user's 18 voice into recognizable text information, and can also perform comparative analysis by recognizing and collecting the user's 18 voice at different time periods to determine the user's 18 physical health status. For example, when the user 18 uses the smart cooking device for the second time (the interval between the two times is more than 8 hours) and issues a voice command, the voice recognition device 132 collects the user's 18 voice and transmits the voice collection information to the healthy cooking AI big model. The healthy cooking AI big model The model compares and analyzes the voice collection information of user 18 this time with the voice collection information of user 18 previously stored in the database, and finds that the voice of user 18 this time is hoarser than the previous voice. It is determined that it may be caused by excessive use of the voice or inflammation of the pharynx. In terms of diet, some foods that help supplement nutrition and improve hoarseness should be consumed appropriately. In addition, some mild foods can be consumed to reduce irritation to the throat and vocal cords, which helps to relieve the symptoms of throat discomfort. The healthy cooking AI large model will recommend some new healthy cooking methods or new recipes for clearing the throat and moisturizing the throat to user 18, such as pear and white fungus soup, lotus seed and lean meat porridge, steamed eggs, etc.

[0077] 3) Technical solution for the heart rate sensor 133 to obtain the user's heart rate:

[0078] The integrated heart rate sensor 133 can monitor the user's heart rate to obtain information about their health status. The heart rate sensor 133 utilizes a photoelectric measurement principle, using a photoelectric sensor (such as a photodiode or photoresistor) to detect changes in blood flow through the user's skin, thereby deriving heart rate data. The user can monitor their heart rate by touching or wearing the heart rate sensor 133. The normal heart rate for a resting, awake adult ranges from 60 to 100 beats per minute. When the smart cooking device detects a high or low heart rate through the heart rate sensor 133, it interacts with the user to determine whether the heart rate is due to physiological factors, such as exercise or physical exertion, or pathological factors, such as a cold or fever. The smart cooking device then analyzes and calculates the healthy cooking AI model and recommends new healthy cooking methods or recipes tailored to the user's health status. The smart cooking device can also detect the heart rate of the user 18 at different time periods for comparative analysis to determine the physical health status of the user 18. For example, when the user 18 used the smart cooking device yesterday morning and used the smart cooking device again at 8 o'clock this morning, the heart rate sensor 133 detects the heart rate of the user 18 and transmits the heart rate detection information to the healthy cooking AI big model. The healthy cooking AI big model compares and analyzes the heart rate detection information of the user 18 at 8 o'clock today with the heart rate detection information of the user 18 at 8 o'clock yesterday stored in the database, and finds that the user 18's heart rate today is higher than yesterday's heart rate. It is determined that the user 18 may have mood, sleep, environmental factors, fatigue and other factors. In terms of diet, the user should appropriately eat some foods rich in potassium, calcium and magnesium, because potassium, calcium and magnesium can help maintain normal contraction and relaxation of the heart and maintain electrolyte balance. The healthy cooking AI big model will recommend some new healthy cooking methods or new recipes rich in potassium, calcium and magnesium to the user 18, such as soy milk, banana honey water, oatmeal porridge, etc.

[0079] 4) Technical solution for the body temperature sensor 134 to obtain the body temperature of the user 18:

[0080] The body temperature sensor 134 is used to measure the body temperature of user 18. The body temperature sensor 134 can be a skin contact sensor, such as a temperature patch attached to the skin, or a non-contact sensor, such as an infrared thermometer. When user 18 uses the smart cooking device, the smart cooking device measures the body temperature information of user 18 using an infrared thermometer and transmits the body temperature information to the healthy cooking AI big model. The healthy cooking AI big model analyzes the body temperature information and finds that the body temperature of user 18 is high. It determines that user 18 is in a fever state. Because the human body's digestive function is weakened when a person has a fever, the diet should be light, easily digestible liquid or semi-liquid food. The healthy cooking AI big model will then recommend some new healthy cooking methods or new recipes that are light and easy to digest to user 18, such as millet and lean meat porridge, vegetarian noodles, pumpkin soup, etc.

[0081] 5) Technical solution for the blood pressure sensor 135 to obtain the blood pressure of the user 18:

[0082] The integrated blood pressure sensor 135 can measure the blood pressure level of the user 18. The blood pressure sensor 135 can use a cuff-type measuring device to measure changes in blood vessel pressure. When the user 18 uses the smart cooking device, the smart cooking device measures the blood pressure information of the user 18 through the blood pressure sensor 135 and transmits the blood pressure information to the healthy cooking AI big model. The healthy cooking AI big model analyzes the blood pressure information and finds that the blood pressure of the user 18 is high. It determines that the user 18 has high blood pressure and should eat a low-salt and low-fat diet. The healthy cooking AI big model will then recommend some new healthy low-salt and low-fat cooking methods or new recipes to the user 18, such as steamed fish, stir-fried lettuce, boiled beef slices, etc.

[0083] 6) Technical solution for the blood oxygen sensor 136 to obtain the blood oxygen saturation of the user 18:

[0084] The blood oxygen sensor 136 is used to detect the blood oxygen saturation of the user 18. The blood oxygen sensor 136 can measure the oxygen content in the blood through infrared light and LED light sources. When the user 18 uses the smart cooking device, the smart cooking device measures the blood oxygen saturation information of the user 18 through the blood oxygen sensor 136 and transmits the blood oxygen saturation information to the healthy cooking AI big model. The healthy cooking AI big model analyzes the blood oxygen saturation information and finds that the blood oxygen saturation of the user 18 is high. It determines that the user 18 may have a respiratory disease and that the diet should be light, low in salt, and small and frequent meals. The healthy cooking AI big model will then recommend some new healthy cooking methods or new recipes that are light and low in salt to the user 18, such as Tremella and Snow Pear Soup, Stir-fried Lettuce, Honey Water, etc.

[0085] In specific applications, the aforementioned AI camera 131, voice recognition device 132, heart rate sensor 133, temperature sensor 134, blood pressure sensor 135, and blood oxygen sensor 136 may be used singly or in combination to detect user health information. The healthy cooking AI model will then perform a comprehensive analysis based on the currently detected individual or multiple pieces of user health information to determine the health status of user 18. For example, the healthy cooking AI model may determine the health status of user 18 based solely on facial detection information detected by the AI ​​camera 131, or it may determine the health status of user 18 based on a comprehensive analysis of temperature and blood pressure information measured by the temperature sensor 134 and blood pressure sensor 135, respectively. Furthermore, after determining the health status of user 18, the healthy cooking AI model may also confirm the user's health information with the user via the user's mobile terminal 20 or the touch screen 17. Upon receiving confirmation from the user, the model will analyze and recommend new healthy cooking methods or recipes based on the confirmed health status information.

[0086] In a preferred embodiment, the environment sensing device 14 includes a meteorological sensor 141, a temperature sensor 142, a GPS device 143, a light sensor 144, and a gas sensor 145. The meteorological sensor 141, the temperature sensor 142, the humidity sensor, the GPS device 143, the light sensor 144, and the gas sensor 145 are electrically connected to the processor 11. The specific scheme for the environment sensing device 14 to detect the user's environment information is as follows:

[0087] 1) The technical solution of the meteorological sensor 141 for obtaining temperature conditions:

[0088] The meteorological sensors 141, such as temperature sensors, humidity sensors, and atmospheric pressure sensors, are used to obtain the weather conditions of the day. Alternatively, integration with a meteorological data provider can be selected, such as using a meteorological API to obtain real-time weather data. When the user 18 uses the smart cooking device, the smart cooking device transmits the real-time weather data obtained by the meteorological sensors 141 to the healthy cooking AI big model. The healthy cooking AI big model analyzes the real-time weather data. For example, if it determines that the weather is cold and the air is relatively dry on that day, and that it is advisable to eat more moist and warming foods, the healthy cooking AI big model will recommend some new moist and warming healthy cooking methods or recipes to the user 18, such as black sesame porridge, spinach and pork liver soup, lily and white fungus soup, etc.

[0089] 2) The temperature sensor 142 is used to obtain the temperature condition of the technical solution:

[0090] The temperature sensor 142 is used to measure the current ambient temperature. A digital temperature sensor or an analog temperature sensor can be selected, depending on specific needs. When user 18 uses the smart cooking device, the smart cooking device transmits the current ambient temperature data obtained by the temperature sensor 142 to the healthy cooking AI big model. The healthy cooking AI big model analyzes the current ambient temperature data. For example, if the analysis determines that the ambient temperature on that day is high, some new healthy cooking methods or new recipes for cooling the body are recommended to user 18, such as cold cucumber salad, cold tomato and tofu salad, etc. If the analysis determines that the ambient temperature on that day is low, some new healthy cooking methods or new recipes for heating the body are recommended to user 18, such as ginger ginseng porridge, spicy noodle soup, delicious porridge, etc. The humidity sensor and temperature sensor 142 can be combined to display temperature and humidity. When the humidity sensor detects that the humidity on that day is high, some new healthy cooking methods or new recipes for removing moisture are recommended to user 18.

[0091] 3) Technical solution for obtaining geographic location using the GPS device 143:

[0092] The GPS device 143 is used to obtain the geographic coordinates of the device's location. These coordinates can then be integrated with a geographic information system (GIS) dataset to obtain information about a specific area, such as geographic features, demographic data, and the like. For example, when user 18 uses the smart cooking device, the smart cooking device transmits the current geographic coordinate information obtained by the GPS device 143 to the healthy cooking AI big model. The healthy cooking AI big model analyzes the geographic coordinate information. For example, if the analysis determines that the geographical location is Sichuan, the healthy cooking AI big model will prioritize recommending new healthy cooking methods or new recipes related to Sichuan cuisine, such as fire whip beef, hot and sour Chongcai, and lotus root mullet slices, to user 18 based on Sichuan's food culture. In addition to being set on the smart cooking device, the GPS device 143 can also obtain relevant information by calling the API of third-party software on the user's mobile terminal 20 or the wearable device of user 18.

[0093] 4) Technical solution for the light sensor 144 to obtain light environment information:

[0094] The light sensor 144 is used to detect the light intensity and lighting conditions in the environment. For example, when user 18 uses the smart cooking device, the smart cooking device detects the current light intensity information of the environment through the light sensor 144 and transmits it to the healthy cooking AI big model. The healthy cooking AI big model analyzes the light intensity information. For example, if it determines that the current ultraviolet intensity in the environment is high and it is recommended to consume some red or yellow fruits and vegetables or dark green leafy vegetables to enhance skin resistance and effectively block ultraviolet rays, the healthy cooking AI big model will recommend relevant new healthy cooking methods or new recipes to user 18, such as stir-fried lean meat with carrots, stir-fried eggs with tomatoes, and stir-fried water spinach.

[0095] 5) The technical solution of the gas sensor 145 for obtaining gas concentration:

[0096] The gas sensor 145 is used to detect the concentration of gases in the environment, such as carbon dioxide and carbon monoxide. For example, when user 18 uses the smart cooking device, the smart cooking device detects the gas concentration information of the current environment through the gas sensor 145 and transmits it to the healthy cooking AI big model. The healthy cooking AI big model analyzes the gas concentration information. For example, if it determines that the concentration of harmful gases in the current environment is high, the ambient air quality is poor, and it is advisable to consume some lung-clearing and health-promoting foods, the healthy cooking AI big model will recommend relevant new healthy cooking methods or new recipes to user 18, such as pig blood soup, candied yam, etc.

[0097] In specific applications, the meteorological sensor 141, the temperature sensor 142, the GPS device 143, the light sensor 144, and the gas sensor 145 may be used in combination with a single sensor or multiple sensors to obtain the user's environmental information. The healthy cooking AI model will perform a comprehensive analysis based on the user's environmental information detected by the single sensor or multiple sensors to determine the user's environmental conditions. For example, the healthy cooking AI model may determine the user's environmental conditions based solely on the weather conditions detected by the meteorological sensor 141, or it may determine the user's environmental conditions based on a comprehensive analysis based on the light intensity information and gas concentration information measured by the light sensor 144 and the gas sensor 145, respectively.

[0098] In a preferred embodiment, the intelligent cooking device is provided with cooking operation stations of stir-fry 1, frying 2, frying 3, braising 4, stewing 5, boiling 6, and steaming 7. The cooking operation station of stir-fry 1 is a stir-frying machine, the cooking operation station of frying 2 is an air fryer, the cooking operation station of frying 3 is a frying machine, an induction cooker, a microwave oven, or an oven, the cooking operation station of braising 4 is an electric casserole, the cooking operation station of stewing 5 is a slow cooker, an electric stew pot or an electric stew pot, the cooking operation station of boiling 6 is an electric cooking pot, and the cooking operation station of steaming 7 is a steaming oven, an electric steamer, an electric rice cooker or an electric pressure cooker. One or more intelligent cooking devices use one or more cooking functions of stir-frying, air frying, frying, braising, stewing, steaming, and boiling to cook ingredients.

[0099] In a preferred embodiment, the cooking operation stations of stir-frying 1, frying 2, frying 3, braising 4, stewing 5, boiling 6, and steaming 7 of the intelligent cooking device of the present invention are provided with corresponding operation detection feedback systems 8, and the operation detection feedback system 8 includes detection devices such as cameras, infrared detection, radar detection, magnetic detection, and weight detection, which are used to detect whether the cooking operations performed by the user meet the requirements of the new healthy cooking method of the healthy cooking AI large model. For example, when the intelligent cooking device is cooking stir-fried lettuce, the ingredients are placed on the cooking operation station of stir-frying 1. The intelligent cooking device requires the user to put the lettuce to be stir-fried on the cooking operation station of stir-frying 1. However, when the user does not put it or puts it in the wrong place, the operation detection feedback system 8 detects it through the camera and feeds this information back to the processor 11 of the intelligent cooking device. The processor 11 controls the cooking operation station to pause the next operation and sends information to the user 18 for correction. When the user 18 corrects it, the operation detection feedback system 8 detects it through the camera and feeds this information back to the processor 11. The processor 11 controls the cooking operation station to perform the next operation. The above is just an example. In addition, infrared detection, radar detection, magnetic detection, and weight detection can also be used for detection alone or in combination.

[0100] In another embodiment, the intelligent cooking device is provided with cooking operation stations of stir-fry 1, frying 2, frying 3, braising 4, stewing 5, and boiling 6. The cooking operation stations of stir-fry 1, frying 2, frying 3, braising 4, stewing 5, and boiling 6 are provided with corresponding operation detection feedback systems 8. The cooking operation station of stir-fry 1 is a stir-frying machine, the cooking operation station of frying 2 is an air fryer, the cooking operation station of frying 3 is a frying machine, an induction cooker, a microwave oven, or an oven, the cooking operation station of braising 4 is an electric casserole, the cooking operation station of stewing 5 is a slow cooker, an electric stew pot, or an electric stew pot, and the cooking operation station of boiling 6 is an electric cooking pot. One or more intelligent cooking devices use one or more cooking functions of stir-frying, air frying, frying, braising, stewing, and boiling to cook ingredients.

[0101] In other embodiment 2, the intelligent cooking device is provided with cooking operation stations of stir-fry 1, frying 2, frying 3, braising 4, and stewing 5. The cooking operation stations of stir-fry 1, frying 2, frying 3, braising 4, and stewing 5 are provided with corresponding operation detection feedback systems 8. The cooking operation station of stir-fry 1 is a stir-frying machine, the cooking operation station of frying 2 is an air fryer, the cooking operation station of frying 3 is a frying machine, an induction cooker, a microwave oven, or an oven, the cooking operation station of braising 4 is an electric casserole, and the cooking operation station of stewing 5 is a slow cooker, an electric stew pot, or an electric stew pot. One or more intelligent cooking devices use one or more cooking functions of stir-frying, air frying, frying, braising, and stewing to cook ingredients.

[0102] In other embodiment three, the intelligent cooking device is provided with cooking operation stations of stir-fry 1, frying 3, braising 4, and stewing 5. The cooking operation stations of stir-fry 1, frying 3, braising 4, and stewing 5 are provided with corresponding operation detection feedback systems 8. The cooking operation station of stir-fry 1 is a stir-frying machine, the cooking operation station of frying 3 is a frying machine, an induction cooker, a microwave oven, or an oven, the cooking operation station of braising 4 is an electric casserole, and the cooking operation station of stewing 5 is a slow cooker, an electric stew pot, or an electric stew pot. One or more intelligent cooking devices use one or more cooking functions of stir-frying, frying, braising, and stewing to cook ingredients.

[0103] In other embodiment four, the intelligent cooking device is provided with a stir-frying 1 cooking operation station, and the stir-frying 1 cooking operation station is provided with a corresponding operation detection feedback system 8. The stir-frying 1 cooking operation station is a stir-frying machine, and one or more intelligent cooking devices use the stir-frying cooking function to cook ingredients.

[0104] In other embodiments, the intelligent cooking device is one or a combination of a stir-fryer, an air fryer, an induction cooker, a microwave oven, an oven, a steam oven, an electric rice cooker, a steak maker, a barbecue machine, a clay pot rice maker, an electric pressure cooker, a steam cooker, a multi-function food processor, an electric cooker, a bread maker, a chef machine, a steamer machine, an electric ceramic stove, a cooking pot, a frying machine, a slow cooker, an electric stew pot, an electric stew pot, an integrated stove or a frying pan, and one or more intelligent cooking devices include one or more cooking functions of stir-frying, sautéing, stir-frying, frying, cooking, frying, sticking, roasting, braising, stewing, steaming, blanching, boiling, stewing, stir-frying, mixing, marinating, roasting, braising, freezing, pulling out silk, honey sauce, smoking, rolling, sliding or baking to cook ingredients.

[0105] In other embodiments, the smart cooking device prompts the user to place different ingredients at different cooking operation stations on the smart cooking device for cooking operations. For example, the cooking operation station of stir-frying 1 is different from the cooking operation stations of steaming 7, frying 2, and pan-frying 3 in the smart cooking device, and the user needs to be prompted to cook at the corresponding cooking operation station; the cooking work steps include the cooking steps that the smart cooking device prompts the user to perform when cooking different ingredients; the cooking parameters include the cooking time, cooking temperature, and cooking power of the ingredients; the cooking operation instructions that require user cooperation include confirming the cooking parameters or confirming that the operation station and cooking work steps have been completed on the user mobile terminal 20.

[0106] In other embodiments, the smart cooking device is an integrated body of multiple cooking functions including stir-frying, air frying, baking, frying, braising, stewing, steaming, boiling or baking. For example, the smart cooking device is a cooking utensil that integrates functions such as air frying, baking, frying, and steaming, or a cooking utensil that integrates functions such as stir-frying, air frying, braising, stewing, and boiling, etc.

[0107] The present invention provides an intelligent cooking method and intelligent cooking device based on user information, which have the following beneficial effects: It is applied to an intelligent cooking device, and the intelligent cooking device is provided with a user health status sensing device, an environment sensing device, an information collection module, a voice interaction module, a touch screen, a storage module, a processor and a wireless communication module. The user information is analyzed and trained by the healthy cooking AI big model deployed in the storage module or the healthy cooking AI big model deployed on the cloud platform to generate a new healthy cooking method or a new recipe suitable for the user's physical condition or the user's environmental conditions, and the new healthy cooking method or the new recipe is sent to the user's mobile terminal or the touch screen through the wireless communication module to cook the food. The healthy cooking AI big model of the present invention generates a new recipe suitable for the user's physical condition or the user's environmental conditions through the user health status sensing device, the environment sensing device and the supporting equipment, which not only meets the user's food taste requirements, but also meets the user's food health requirements.

[0108] The present invention has been described in detail above. The above description is only a preferred embodiment of the present invention and should not limit the scope of implementation of the present invention. That is, all equivalent changes and modifications made within the scope of this application should still fall within the scope of the present invention.

Claims

1. An intelligent cooking method based on user information, characterized in that: Including user information and healthy cooking AI big model, the user information and the healthy cooking AI big model are applied to the intelligent cooking device, the intelligent cooking device is provided with a user health status sensing device, an environmental sensing device, an information collection module, a voice interaction module, a touch screen, a storage module, a processor and a wireless communication module, the information collection module, the user health status sensing device, the environmental sensing device, the voice interaction module, the touch screen, the storage module, the wireless communication module are electrically connected to the processor, the user information includes user cooking demand information, user physical health information or user environment information, the information collection module ... The interactive module or touch screen is used to obtain user cooking demand information, the user health status sensing device is used to obtain user physical health status information, the user physical health status information includes facial features, heart rate data, blood pressure index, blood oxygen concentration or hoarseness, the environmental sensing device is used to obtain user environmental information, the user environmental information includes solar terms, seasons, regional locations, weather conditions or temperature and humidity conditions, the healthy cooking AI big model combines the user physical health status information, the user environmental information or the user cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental conditions, and The new healthy cooking method or new recipe is sent to the user's mobile terminal or the touch screen through a wireless communication module. The new healthy cooking method includes a cooking operation station, cooking work steps, cooking parameters or cooking operation instructions that require user cooperation. The new recipe includes a food cooking recipe suitable for the user's physical condition or the user's environmental conditions. The healthy cooking AI big model generates a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental conditions, including two steps: building a healthy cooking AI big model and calling the healthy cooking AI big model. The building of the healthy cooking AI big model includes six steps: collecting data, preprocessing data, selecting AI big model, training healthy cooking AI big model, verifying and testing healthy cooking AI big model, and deploying and maintaining healthy cooking AI big model. The calling of healthy cooking AI big model includes assembling query statements, the healthy cooking AI big model performing reasoning operations, and the healthy cooking AI big model returning results. The new healthy cooking method or new recipe is sent to the user mobile terminal or the touch screen through the wireless communication module after the reasoning operation of the healthy cooking AI big model is completed. The user confirms the new healthy cooking method or new recipe by operating the user mobile terminal or the touch screen. The intelligent cooking device cooks food according to the new healthy cooking method and prompts the user to complete the cooking operation instructions that require user cooperation.

2. The intelligent cooking method based on user information according to claim 1, characterized in that: The user can input the user's physical health information, the user's environmental information, and the user's cooking demand information in the format of voice, video, text, picture or 3D model through the information collection module, the voice interaction module and the touch screen. The intelligent cooking device pushes the user's physical health information, the user's environmental information or the user's cooking demand information to the healthy cooking AI big model. The healthy cooking AI big model combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method to the user's mobile terminal or the touch screen through the wireless communication module.

3. The intelligent cooking method based on user information according to claim 1, characterized in that: The intelligent cooking device detects the user's physical health information and the user's environmental information through the user health sensing device and the environmental sensing device. The intelligent cooking device pushes the user's physical health information and the user's environmental information to the healthy cooking AI big model. The healthy cooking AI big model combines the user's physical health information and the user's environmental information for analysis and training to generate a new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new recipe to the user's mobile terminal or the touch screen through the wireless communication module. The user confirms the new recipe by operating the user's mobile terminal or the touch screen. The healthy cooking AI big model analyzes and trains according to the new recipe to generate a new healthy cooking method, and sends the new healthy cooking method to the user's mobile terminal or the touch screen through the wireless communication module.

4. The intelligent cooking method based on user information according to claim 1, characterized in that: The intelligent cooking device pushes the user's physical health information, the user's environmental information, and the user's cooking demand information to the healthy cooking AI big model on the cloud platform through the wireless communication module. The healthy cooking AI big model on the cloud platform combines the user's physical health information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method or new recipe to the user's mobile terminal or the touch screen through the cloud platform. The healthy cooking AI big model is deployed and maintained on the cloud platform.

5. The intelligent cooking method based on user information according to claim 1, characterized in that: The intelligent cooking device pushes the user's physical health information, the user's environmental information, and the user's cooking demand information to the healthy cooking AI big model in the storage module through the processor. The healthy cooking AI big model in the storage module analyzes and trains the user's physical health information, the user's environmental information, or the user's cooking demand information to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental condition, and sends the new healthy cooking method or new recipe to the user's mobile terminal or the touch screen through the wireless communication module. The healthy cooking AI big model is deployed and maintained in the storage module.

6. The intelligent cooking method based on user information according to claim 1, characterized in that: The smart cooking device is installed with a self-developed program, and obtains the user's health status information and the user's environment information by calling the API of the third-party software.

7. The intelligent cooking method based on user information according to claim 4 or 5, characterized in that: The construction of the healthy cooking AI model includes: The first step is to collect healthy cooking data: collect all information related to healthy food cooking methods in the form of voice, video, text, pictures or 3D models. The content includes all food cooking methods, the relationship between physical health conditions and healthy food cooking methods, and the relationship between weather and environmental conditions and healthy food cooking methods. Step 2: Preprocessing healthy cooking data: All collected information on healthy cooking methods is preprocessed to ensure its integrity and usability. This includes converting information in different formats into text and editing the text according to a specific format to facilitate subsequent training of the AI model. Step 3: Select AI models applicable to cooking: Select domestic and international third-party AI models, and measure them using accuracy, response speed, and diversity indicators; Step 4: Train the healthy cooking AI model: After organizing the healthy cooking dataset in step 2, fine-tune the healthy cooking dataset using a third-party AI model. After training, a healthy cooking AI model containing all relevant data on healthy cooking methods is generated. Step 5: Verify and test the healthy cooking AI big model: Perform a task-specific performance test on the healthy cooking AI big model generated in step 4. If the performance fails, repeat steps 1, 2, 3, and 4 and retrain until the performance passes. Generate the healthy cooking AI big model and deploy it on the cloud platform or in the storage module of the smart cooking device. Step 6. Deploy and maintain the healthy cooking AI big model: Deploy the newly generated healthy cooking AI big model to the cloud platform or the storage module of the smart cooking device, and carry out continuous maintenance and updates, and update the data regularly to ensure the timeliness and accuracy of the data.

8. The intelligent cooking method based on user information according to claim 7, characterized in that: The third step is to select an AI large model that can be applied to healthy cooking. The selected AI large model is Baichuan2-13B. The parameters of the AI large model are as follows: hidden layer dimension: 5,120, number of layers: 40, number of attention heads: 40, vocabulary size: 64,000, total number of parameters: 13,264,901,120, training data (tokens): 1.4 trillion, position encoding: ALiBi, maximum length: 4,096.

9. The intelligent cooking method based on user information according to claim 7, characterized in that: The training process of the fourth step of training the healthy cooking AI large model is as follows: first, download the model weights of baichuan13b from huggingface, then download the belle datasets train_0 and 5M_CN to the local computer and put them in the dataset folder under the project directory, and finally run the sft_lora and py scripts. Then, quantize Baichuan LLM using qlora's nf4 and double quantization methods, and finally, use lora to fine-tune the instructions.

10. The intelligent cooking method based on user information according to claim 1, characterized in that: The calling of the healthy cooking AI big model specifically includes the following steps: The first step is to assemble the query statement and pass the collected user health information and user environment information to the healthy cooking AI model. The second step is for the healthy cooking AI big model to perform inference operations: The query statement is passed to the healthy cooking AI big model, which then performs inference operations. This involves the following steps: 1) Understanding the input: Distributed semantic parsing first receives a text sequence and converts it into word vectors. This process is based on the distributed semantics assumption that the meaning of a word is determined by its context. 2) Parameter association: context-focus chaining, inputting these word vectors into the Transformer Encoder to generate context representation; 3) Generate Answers: Generative probabilistic modeling: The model initializes the Transformer's decoder and feeds the encoder output and the current output sequence into the decoder. The decoder generates a probability distribution for the next word and selects the word with the highest probability or another set probability distribution as the output. This word is then appended to the output sequence. 4) Select the most appropriate answer: Dynamic word string evolution, repeat the above steps, adding new words to the output sequence each time, until a complete output sequence is generated; Step 3. The healthy cooking AI big model returns the result: After the healthy cooking AI big model completes the inference operation, it returns the information related to the new healthy cooking method or new recipe and the operation instructions of the new healthy cooking method or new recipe, including providing the user with content in text, picture, audio, video or 3D model format.

11. An intelligent cooking device, characterized in that: It is equipped with a user health status sensing device, an environment sensing device, an information collection module, a voice interaction module, a touch screen, a storage module, a processor and a wireless communication module. The information collection module, the user health status sensing device, the environment sensing device, the voice interaction module, the touch screen, the storage module, the wireless communication module are electrically connected to the processor, a healthy cooking AI large model is deployed in the storage module or the wireless communication module is connected to the healthy cooking AI large model deployed on the cloud platform, the information collection module, the voice interaction module or the touch screen is used to collect all relevant user information input by the user in voice, video, text, picture or 3D model format Cooking demand information, the user health status sensing device is used to obtain the user's physical health status information, the environmental sensing device is used to obtain the user's environmental information, the healthy cooking AI big model combines the user's physical health status information, the user's environmental information or the user's cooking demand information for analysis and training to generate a new healthy cooking method or new recipe suitable for the user's physical condition or the user's environmental conditions, the processor is connected to the cloud platform and the user's mobile terminal through the wireless communication module, and the processor is used to execute the new healthy cooking method or new recipe generated by the healthy cooking AI big model in claim 1 or 2 or 3 and prompt the user to confirm the cooking operation instructions.

12. The intelligent cooking device according to claim 11, characterized in that: The user health status sensing device includes an AI camera, a voice recognition device, a heart rate sensor, a body temperature sensor, a blood pressure sensor or a blood oxygen sensor, and the AI camera, the voice recognition device, the heart rate sensor, the body temperature sensor, the blood pressure sensor, and the blood oxygen sensor are electrically connected to the processor.

13. The intelligent cooking device according to claim 11, characterized in that: The environmental sensing device includes a meteorological sensor, a temperature sensor, a humidity sensor, a GPS device, a light sensor or a gas sensor, and the meteorological sensor, the temperature sensor, the humidity sensor, the GPS device, the light sensor, and the gas sensor are electrically connected to the processor.

14. The intelligent cooking device according to claim 11, characterized in that: There are cooking stations for stir-frying, sautéing, deep-frying, cooking, frying, sticking, roasting, braising, stewing, steaming, blanching, boiling, stewing, sautéing, mixing, marinating, roasting, braising, freezing, candied food, honey-glazed food, smoking, rolling, sliding or baking.

15. The intelligent cooking device according to claim 14, characterized in that: The cooking operation stations of stir-frying, frying, deep-frying, cooking, frying, sticking, roasting, braising, stewing, steaming, blanching, boiling, stewing, sautéing, mixing, marinating, roasting, braising, freezing, candied food, honey-glazed food, smoking, rolling, sliding or baking are provided with corresponding operation detection feedback systems, which are used to detect whether the cooking operations performed by the user meet the requirements of the new healthy cooking method of the healthy cooking AI model.

Images