Household intelligent cooker system

Abstract

The invention relates to the technical field of intelligent homes, in particular to a household intelligent cooker system. Comprising a cloud data module used for storing and managing a dish library and cooking parameters at the cloud; the local library module is used for storing a dish library and cooking parameters at an equipment end; the control module is used for realizing connection and disconnection between the local library module and the cloud data module; wherein in the to-be-operated state, the control module establishes connection between the local library module and the cloud data module; in the working state, the control module establishes or disconnects the connection between the local library module and the cloud data module. According to the household intelligent cooker system provided by the invention, the data synchronization with the cloud is realized when the system waits to work, so that a dish library is enriched and cooking parameters are updated. Meanwhile, in the working process, the system can ensure flexible disconnection of the local library module and the cloud data module, and cooking independence and stability are guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and in particular to a household smart cooking machine system. Background Art

[0002] In modern fast-paced life, home cooking faces the dual challenges of efficiency and taste. Traditional cooking methods are not only time-consuming and laborious, but also difficult to ensure consistent quality every time. With the development of science and technology, cooking machine systems have emerged to simplify the cooking process and improve cooking efficiency. However, existing cooking machine systems still have shortcomings in practical applications, especially in data processing and cooking autonomy. Many systems cannot synchronize data with the cloud when not working to enrich the menu library and update cooking parameters. At the same time, it is difficult to ensure flexible disconnection from the cloud during the cooking process, which affects the independence and stability of cooking.

[0003] For example, in the Chinese patent publication number CN108123989A, entitled "Cooking method, cooking device, server and cooking utensil", the cooking method includes: after establishing a communication connection with the cooking utensil, resolving the network address of the cooking utensil; determining the geographical location of the cooking utensil according to the network address; obtaining the environmental parameters sent by the cooking utensil and the amount of material added to the cooking utensil; generating cloud cooking parameters according to the environmental parameters, the amount of material and the geographical location; and sending the cloud cooking parameters to the cooking utensil so that the cooking utensil can cook according to the cloud cooking parameters. The disadvantage is that although data synchronization with the cloud is achieved, it is impossible to ensure flexible disconnection from the cloud during the cooking process, which affects the independence and stability of cooking. Summary of the invention

[0004] In view of the problem that the cooking machine system in the prior art cannot be flexibly disconnected from the cloud during the cooking process, resulting in the impact on the independence and stability of cooking, the present invention provides a household intelligent cooking machine system, which realizes data synchronization with the cloud when waiting to work, so as to enrich the dish library and update the cooking parameters. At the same time, during the working process, the system can ensure the flexible disconnection of the local library module and the cloud data module, ensuring the independence and stability of cooking.

[0005] In order to achieve the above technical objectives, the present invention provides a technical solution, which is a household intelligent cooking machine system, comprising: Cloud data module, used to store and manage recipe library and cooking parameters in the cloud; The local library module is used to store the recipe library and cooking parameters on the device side; The control module is used to realize the connection and disconnection between the local library module and the cloud data module; Wherein, in the waiting state, the control module establishes a connection between the local library module and the cloud data module; in the working state, the control module establishes or disconnects the connection between the local library module and the cloud data module.

[0006] In this technical solution, the cloud data module is used to store and manage a wide range of menu libraries and detailed cooking parameters in a cloud environment, while the local library module implements local storage of these data at the device level. In addition, a control module is integrated to accurately control the connection status between the local library and the cloud data. The system can work both online and offline. In the working state, the state of the network does not affect the actual cooking process and results. During the working process, server data and local data can be seamlessly connected. In the preparatory work stage, the control module will actively establish a connection between the two to achieve efficient synchronization of data, which not only greatly expands the diversity of the menu library, but also ensures the timely update of cooking parameters. When the system enters the actual working state, the control module can freely choose to remain connected or disconnected as needed to ensure that the continuity and stability of the cooking process are not affected by the network status at all.

[0007] The present invention is further configured to include a dish management module, wherein the dish management module includes: New custom dish unit: allows users to add dishes and set corresponding cooking parameters and steps; cloud download unit: supports downloading dishes and their cooking parameters in the dish library from the cloud data module; The dish management module is connected to the cloud data module and the local library module, and the newly added custom dishes and downloaded dishes are stored in the local library module.

[0008] In this technical solution, the newly added custom dish unit gives users a high degree of personalized customization capabilities. Users can not only easily add new dishes, but also set detailed cooking parameters and steps for these new dishes according to their personal tastes and preferences, which greatly expands the application scope of the cooking machine and enables it to meet the diverse cooking needs of different users. At the same time, the cloud download unit makes full use of the rich resources of the cloud data module. It supports users to download various dishes and their corresponding cooking parameters from the cloud dish library, thereby quickly enriching the content of the local library module, which not only improves the practicality of the cooking machine, but also allows users to easily obtain the latest cooking inspiration and skills. The dish management module achieves seamless docking with the cloud data module and the local library module through an efficient connection mechanism. Whether it is a custom dish added by the user or a dish downloaded from the cloud, it will be securely stored in the local library module for users to choose at any time.

[0009] The present invention is further configured to include a cooking control module, the cooking control module is connected to the local library module to obtain dishes and parameter information required for cooking, and the cooking control module includes: a real-time status unit: real-time display of the current status of the cooking machine, the current status including waiting for confirmation to start, cooking and pause; A display unit, showing the name of the dish currently being cooked and the estimated completion time; Progress unit, real-time feedback of cooking progress through progress bar or text prompts; The cooking process unit is used for users to cancel or resume the cooking process, as well as cancel the entire cooking process.

[0010] In this technical solution, the cooking control module is connected to the local library module to obtain and execute the precise dishes and parameter information required for cooking. The real-time status unit can instantly display the current working status of the cooking machine, including waiting for the user to confirm the start, in the cooking process, and paused, so that the user can grasp the cooking progress at a glance. The display unit focuses on providing detailed information about cooking. It will clearly display the name of the dish currently being cooked and the estimated completion time based on the cooking parameters, providing users with convenient cooking time management. The progress unit provides real-time feedback on each step of cooking through an intuitive progress bar or text prompt, allowing users to accurately grasp each stage of cooking, enhancing the transparency and controllability of the cooking process. In addition, the cooking process unit gives users a high degree of flexibility, allowing users to cancel or resume specific cooking processes as needed during the cooking process, or even cancel the entire cooking process, thereby meeting users' cooking needs in different scenarios.

[0011] The present invention is further configured to include a manual operation module, which is connected to the cooking control module and the local library module, and includes: Working interface unit: displays the current cooking status and possible operations; Manual ordering unit: allows users to select and order the dishes they want to cook on the work interface; Manual intervention unit: allows the user to adjust cooking parameters or pause cooking during the cooking process.

[0012] In this technical solution, the work interface unit allows users to clearly understand the current cooking status at a glance and clearly understand all available operation options. Through the manual ordering unit, users can easily select and order their favorite dishes on the work interface, giving users great autonomy in choice. During the cooking process, if the user needs to adjust the cooking parameters or temporarily interrupt the cooking, the manual intervention unit will provide a convenient operation method to ensure that the cooking process can be flexibly adjusted according to the actual needs of the user.

[0013] The present invention is further configured to include a cooking parameter module, the cooking parameter module is connected to the cloud data module and the local library module, and the cooking parameter module includes: Parameter modification unit: allows users to modify the cooking parameters of dishes as needed, the cooking parameters include refueling time, adding food time, preheating time, preheating gear, whirlpool time, whirlpool speed and whirlpool gear; saving unit: saves the modified cooking parameters to the local library module.

[0014] In this technical solution, the parameter modification unit allows users to easily adjust the cooking parameters of dishes according to actual needs. Whether it is the time to add oil, the time to add dishes, the preheating time, the preheating gear, or the swirl time, the swirl speed and the swirl gear, users can adjust them as they please to ensure that the cooked dishes meet their personal tastes and preferences. The modified cooking parameters will be saved to the local library module by the saving unit. Users do not need to readjust the parameters every time they cook. They only need to set them once to enjoy a personalized cooking experience for a long time. This not only saves users' time and energy, but also improves the convenience and efficiency of cooking.

[0015] The present invention is further configured to include a power-off resume frying module, which is connected to the cooking control module and the local library module, and is used to automatically record the cooking progress when the cooking process is interrupted for some reason, and continue the unfinished cooking at the next start.

[0016] In this technical solution, if there is a sudden power outage during the cooking process, the power-off resume module will immediately start its intelligent mechanism and automatically record the current cooking progress, ensuring that even if the cooking is accidentally interrupted, the user's cooking results will not be wasted. When the system is started next time, it will automatically detect and continue the unfinished cooking process without the user having to perform any additional operations.

[0017] The present invention is further configured as follows: the power-off continuous frying module comprises: Cooking progress unit: monitors the heating temperature, stirring speed and cooking time in real time during the cooking process and stores them in the local library module in real time; Power-off resume unit: When a power outage occurs during cooking, the emergency mechanism is activated immediately, and the machine automatically detects and prompts the user whether to continue the unfinished cooking task at the next startup; Resume cooking unit: After the user chooses to continue cooking, the cooking parameters are automatically adjusted according to the saved cooking status, remaining cooking time and current dish status.

[0018] In this technical solution, the cooking progress unit monitors every detail of the cooking process in real time, including heating temperature, stirring speed and cooking time. This information is stored in the local library module in real time, providing solid data support for resuming frying after a power outage. When a power outage unfortunately occurs during the cooking process, the power-off resumption unit will immediately activate the emergency mechanism to ensure that the cooking progress will not be lost. At the next startup, the system will automatically detect and prompt the user whether to continue the unfinished cooking task, so that the user does not need to worry about the trouble caused by the interruption of cooking. If the user chooses to continue cooking, the cooking recovery unit will intelligently adjust the cooking parameters according to the previously saved cooking status, the remaining cooking time and the current status of the dish. Even if a power outage occurs during the cooking process, the user can easily resume cooking and enjoy delicious dishes.

[0019] The present invention is further configured as follows: the power-off resume frying module also includes an ingredient status evaluation unit: based on the ingredient status parameters last recorded before the power outage, combined with the ingredient characteristic database, the ingredient status changes during the power outage are predicted, and when the cooking unit is resumed and started, the cooking parameters are automatically adjusted according to the predicted ingredient status changes.

[0020] In this technical solution, the food state evaluation unit can predict the possible changes in the food state during the power outage based on the food state parameters recorded last time before the power outage, combined with the food characteristic database built into the system, to ensure that even after the power outage, the system can accurately grasp the current state of the food. When the cooking unit is started, the cooking parameters are automatically adjusted according to the changes in the food state predicted by the food state evaluation unit.

[0021] The present invention is further configured as follows: the generation of the food characteristic database includes: In a laboratory environment, the ingredients are tested in multiple dimensions; Build a test room that simulates a home kitchen environment to simulate the effects of different cooking equipment, cooking methods and environmental conditions on the state of ingredients; The deep learning method is used to train the collected food status data and establish a neural network model. The feature extraction method is used to extract the features that have the greatest impact on the change of food status from the food status data. According to the changing trend of food status over time, the time series analysis method is used to predict the dynamic changes of food during the cooking process.

[0022] In this technical solution, firstly, by conducting multi-dimensional tests on ingredients in a laboratory environment, the system can fully and accurately grasp the basic characteristics of ingredients, laying a solid foundation for the subsequent database construction. Secondly, the system builds a test room that simulates the environment of a home kitchen, so that the system can deeply study the influence of different cooking equipment, cooking methods and environmental conditions on the state of ingredients in an environment close to actual use. Not only does it improve the practicality of the database, but it also ensures the accuracy of the system in practical applications. Next, the system uses a deep learning method to train the collected food state data and establishes a neural network model, so that the system can more deeply understand the law of food state changes, providing a strong guarantee for the accuracy of the food property database. In addition, the system also extracts the features that have the greatest impact on the change of food state from the food state data through a feature extraction method, making the data in the database more refined and effective, and providing the possibility for the system's rapid response and accurate prediction. Finally, according to the trend of food state changes over time, the system uses a time series analysis method to predict the dynamic changes of food during the cooking process, so that the system can adjust the cooking parameters in real time during the cooking process to ensure that the cooking effect of the food is optimal.

[0023] The present invention is further configured to include a dish recommendation module for recommending related dishes and cooking parameters based on the user's cooking history and preferences.

[0024] In this technical solution, the dish recommendation module can recommend relevant dishes and cooking parameters to users based on their cooking history and preferences. It can not only learn the user's taste and preferences, but also provide users with personalized cooking suggestions based on this, making each cooking more intimate and convenient.

[0025] The beneficial effects of the present invention are as follows: (1) Data synchronization with the cloud is achieved when waiting for work to enrich the dish library and update the cooking parameters. At the same time, during the working process, the system can ensure the flexible disconnection of the local library module and the cloud data module to ensure the independence and stability of cooking; (2) The cloud data module is used to store and manage a wide range of dish libraries and detailed cooking parameters in the cloud environment, while the local library module realizes the local storage of these data at the device level. In addition, a control module is integrated to accurately control the connection status between the local library and the cloud data. The system can work online or offline. In the working state, the state of the network does not affect the actual cooking process and results. During the working process, the server data and the local data can be seamlessly connected. In the preparatory work stage, the control module will actively establish a connection between the two, thereby realizing efficient data synchronization, which not only greatly expands the diversity of the dish library, but also ensures the timely update of the cooking parameters. When the system enters the actual working state, the control module can freely choose to remain connected or disconnected according to needs, ensuring that the continuity and stability of the cooking process are not affected by the network status at all. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the process of the household intelligent cooking machine system of the present invention. DETAILED DESCRIPTION

[0027] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation method described herein is only an optimal embodiment of the present invention, which is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0028] like Figure 1 As shown, as the first embodiment of the present invention, a household intelligent cooking machine system includes: Cloud data module, used to store and manage recipe library and cooking parameters in the cloud; The local library module is used to store the recipe library and cooking parameters on the device side; The control module is used to realize the connection and disconnection between the local library module and the cloud data module; Wherein, in the waiting state, the control module establishes a connection between the local library module and the cloud data module; in the working state, the control module establishes or disconnects the connection between the local library module and the cloud data module.

[0029] In this embodiment, the cloud data module is used to store and manage a wide range of dishes and detailed cooking parameters in the cloud environment, while the local library module realizes the local storage of these data at the device level. In addition, a control module is integrated to accurately control the connection status between the local library and the cloud data. The system can work both online and offline. In the working state, the state of the network does not affect the actual cooking process and results. During the working process, the server data and the local data can be seamlessly connected. In the preparatory work stage, the control module will actively establish a connection between the two, so as to realize efficient synchronization of data, which not only greatly expands the diversity of the dish library, but also ensures the timely update of cooking parameters. When the system enters the actual working state, the control module can freely choose to remain connected or disconnected as needed to ensure that the continuity and stability of the cooking process are not affected by the network status at all.

[0030] In one embodiment of the present invention, a dish management module is also included, and the dish management module includes: New custom dish unit: allows users to add dishes and set corresponding cooking parameters and steps; cloud download unit: supports downloading dishes and their cooking parameters in the dish library from the cloud data module; The dish management module is connected to the cloud data module and the local library module, and the newly added custom dishes and downloaded dishes are stored in the local library module.

[0031] In this technical solution, the newly added custom dish unit gives users a high degree of personalized customization capabilities. Users can not only easily add new dishes, but also set detailed cooking parameters and steps for these new dishes according to their personal tastes and preferences, which greatly expands the application scope of the cooking machine and enables it to meet the diverse cooking needs of different users. At the same time, the cloud download unit makes full use of the rich resources of the cloud data module. It supports users to download various dishes and their corresponding cooking parameters from the cloud dish library, thereby quickly enriching the content of the local library module, which not only improves the practicality of the cooking machine, but also allows users to easily obtain the latest cooking inspiration and skills. The dish management module achieves seamless docking with the cloud data module and the local library module through an efficient connection mechanism. Whether it is a custom dish added by the user or a dish downloaded from the cloud, it will be securely stored in the local library module for users to choose at any time.

[0032] In one embodiment of the present invention, a cooking control module is further included, and the cooking control module is connected to the local library module to obtain dishes and parameter information required for cooking. The cooking control module includes: Real-time status unit: displays the current status of the cooking machine in real time; A display unit, showing the name of the dish currently being cooked and the estimated completion time; Progress unit, real-time feedback of cooking progress through progress bar or text prompts; The cooking process unit is used for users to cancel or resume the cooking process, as well as cancel the entire cooking process.

[0033] In this technical solution, the cooking control module is connected to the local library module to obtain and execute the precise dishes and parameter information required for cooking. The real-time status unit can instantly display the current working status of the cooking machine, allowing users to grasp the cooking progress at a glance. The display unit focuses on providing detailed information on cooking. It will clearly display the name of the dish currently being cooked and the estimated completion time based on the cooking parameters, providing users with convenient cooking time management. The progress unit provides real-time feedback on each step of cooking through an intuitive progress bar or text prompt, allowing users to accurately grasp each stage of cooking, enhancing the transparency and controllability of the cooking process. In addition, the cooking process unit gives users a high degree of flexibility, allowing users to cancel or resume specific cooking processes as needed during the cooking process, or even cancel the entire cooking process, thereby meeting users' cooking needs in different scenarios.

[0034] It can be understood that the current status includes waiting for confirmation to start, cooking and paused.

[0035] In one embodiment of the present invention, a manual operation module is further included, the manual operation module is connected to the cooking control module and the local library module, and the manual operation module includes: Working interface unit: displays the current cooking status and possible operations; Manual ordering unit: allows users to select and order the dishes they want to cook on the work interface; Manual intervention unit: allows the user to adjust cooking parameters or pause cooking during the cooking process.

[0036] In this technical solution, the work interface unit allows users to clearly understand the current cooking status at a glance and clearly understand all available operation options. Through the manual ordering unit, users can easily select and order their favorite dishes on the work interface, giving users great autonomy in choice. During the cooking process, if the user needs to adjust the cooking parameters or temporarily interrupt the cooking, the manual intervention unit will provide a convenient operation method to ensure that the cooking process can be flexibly adjusted according to the actual needs of the user.

[0037] It also includes a cooking parameter module, which is connected to the cloud data module and the local library module, and includes: Parameter modification unit: allows users to modify the cooking parameters of dishes as needed; Saving unit: Save the modified cooking parameters to the local library module.

[0038] In this technical solution, the parameter modification unit allows users to easily adjust the cooking parameters of dishes according to actual needs to ensure that the cooked dishes meet personal tastes and preferences. The modified cooking parameters will be saved to the local library module by the storage unit. Users do not need to readjust the parameters every time they cook. They only need to set them once to enjoy a personalized cooking experience for a long time, which not only saves users' time and energy, but also improves the convenience and efficiency of cooking.

[0039] It can be understood that the cooking parameters include oil adding time, food adding time, preheating time, preheating gear, whirlpool time, whirlpool speed and whirlpool gear.

[0040] Preferably, it also includes a power-off resume frying module, which is connected to the cooking control module and the local library module, and is used to automatically record the cooking progress when the cooking process is interrupted for some reason, and continue the unfinished cooking at the next start.

[0041] In this technical solution, if there is a sudden power outage during the cooking process, the power-off resume module will immediately start its intelligent mechanism and automatically record the current cooking progress, ensuring that even if the cooking is accidentally interrupted, the user's cooking results will not be wasted. When the system is started next time, it will automatically detect and continue the unfinished cooking process without the user having to perform any additional operations.

[0042] The power-off continued frying module comprises: Cooking progress unit: monitors the heating temperature, stirring speed and cooking time in real time during the cooking process and stores them in the local library module in real time; Power-off resume unit: When a power outage occurs during cooking, the emergency mechanism is activated immediately, and the machine automatically detects and prompts the user whether to continue the unfinished cooking task at the next startup; Resume cooking unit: After the user chooses to continue cooking, the cooking parameters are automatically adjusted according to the saved cooking status, remaining cooking time and current dish status.

[0043] In this technical solution, the cooking progress unit monitors every detail of the cooking process in real time, including heating temperature, stirring speed and cooking time. This information is stored in the local library module in real time, providing solid data support for resuming frying after a power outage. When a power outage unfortunately occurs during the cooking process, the power-off resumption unit will immediately activate the emergency mechanism to ensure that the cooking progress will not be lost. At the next startup, the system will automatically detect and prompt the user whether to continue the unfinished cooking task, so that the user does not need to worry about the trouble caused by the interruption of cooking. If the user chooses to continue cooking, the cooking recovery unit will intelligently adjust the cooking parameters according to the previously saved cooking status, the remaining cooking time and the current status of the dish. Even if a power outage occurs during the cooking process, the user can easily resume cooking and enjoy delicious dishes.

[0044] Preferably, the power-off resume frying module also includes an ingredient status evaluation unit: based on the ingredient status parameters last recorded before the power outage, combined with the ingredient characteristics database, the ingredient status change during the power outage is predicted, and when the cooking unit is resumed, the cooking parameters are automatically adjusted according to the predicted ingredient status change. The ingredient status evaluation unit can predict the possible ingredient status change during the power outage based on the ingredient status parameters last recorded before the power outage, combined with the system's built-in ingredient characteristics database, to ensure that the system can accurately grasp the current status of the ingredient even after the power outage. When the cooking unit is resumed, the cooking parameters are automatically adjusted according to the ingredient status change predicted by the ingredient status evaluation unit.

[0045] The generation of the food characteristics database includes: In a laboratory environment, the ingredients are tested in multiple dimensions; Build a test room that simulates a home kitchen environment to simulate the effects of different cooking equipment, cooking methods and environmental conditions on the state of ingredients; The deep learning method is used to train the collected food status data and establish a neural network model. The feature extraction method is used to extract the features that have the greatest impact on the change of food status from the food status data. According to the changing trend of food status over time, the time series analysis method is used to predict the dynamic changes of food during the cooking process.

[0046] In this technical solution, firstly, by conducting multi-dimensional tests on ingredients in a laboratory environment, the system can fully and accurately grasp the basic characteristics of ingredients, laying a solid foundation for the subsequent database construction. Secondly, the system builds a test room that simulates the environment of a home kitchen, so that the system can deeply study the influence of different cooking equipment, cooking methods and environmental conditions on the state of ingredients in an environment close to actual use. Not only does it improve the practicality of the database, but it also ensures the accuracy of the system in practical applications. Next, the system uses a deep learning method to train the collected food state data and establishes a neural network model, so that the system can more deeply understand the law of food state changes, providing a strong guarantee for the accuracy of the food property database. In addition, the system also extracts the features that have the greatest impact on the change of food state from the food state data through a feature extraction method, making the data in the database more refined and effective, and providing the possibility for the system's rapid response and accurate prediction. Finally, according to the trend of food state changes over time, the system uses a time series analysis method to predict the dynamic changes of food during the cooking process, so that the system can adjust the cooking parameters in real time during the cooking process to ensure that the cooking effect of the food is optimal.

[0047] It will be appreciated that environmental conditions include temperature, humidity and air pressure.

[0048] It also includes a dish recommendation module: it recommends relevant dishes and cooking parameters based on the user's cooking history and preferences. The dish recommendation module can recommend relevant dishes and cooking parameters to users based on the user's cooking history and preferences. It can not only learn the user's taste and preferences, but also provide users with personalized cooking suggestions based on this, making each cooking more intimate and convenient.

[0049] The specific description of the present invention in the above embodiments is only used to further illustrate the present invention and cannot be understood as limiting the scope of protection of the present invention. Technical engineers in this field may make some non-essential improvements and adjustments to the present invention based on the contents of the above invention, which fall within the scope of protection of the present invention.

Claims

1. A household intelligent cooking machine system, characterized in that: include: Cloud data module, used to store and manage recipe library and cooking parameters in the cloud; The local library module is used to store the recipe library and cooking parameters on the device side; The control module is used to realize the connection and disconnection between the local library module and the cloud data module; Wherein, in the waiting state, the control module establishes a connection between the local library module and the cloud data module; in the working state, the control module establishes or disconnects the connection between the local library module and the cloud data module.

2. A household intelligent cooking machine system according to claim 1, characterized in that: It also includes a dish management module, which includes: Added custom dish unit: allows users to add dishes and set corresponding cooking parameters and steps; Cloud download unit: supports downloading dishes and their cooking parameters from the cloud data module; The dish management module is connected to the cloud data module and the local library module, and the newly added custom dishes and downloaded dishes are stored in the local library module.

3. A household intelligent cooking machine system according to claim 2, characterized in that: It also includes a cooking control module, which is connected to the local library module to obtain dishes and parameter information required for cooking. The cooking control module includes: Real-time status unit: displays the current status of the cooking machine in real time, including waiting for confirmation to start, cooking and paused; A display unit, showing the name of the dish currently being cooked and the estimated completion time; Progress unit, real-time feedback of cooking progress through progress bar or text prompts; The cooking process unit is used for users to cancel or resume the cooking process, as well as cancel the entire cooking process.

4. A household intelligent cooking machine system according to claim 3, characterized in that: It also includes a manual operation module, which is connected to the cooking control module and the local library module, and includes: Working interface unit: displays the current cooking status and possible operations; Manual ordering unit: allows users to select and order the dishes they want to cook on the work interface; Manual intervention unit: allows the user to adjust cooking parameters or pause cooking during the cooking process.

5. A household intelligent cooking machine system according to claim 4, characterized in that: It also includes a cooking parameter module, which is connected to the cloud data module and the local library module, and includes: Parameter modification unit: allows users to modify the cooking parameters of dishes as needed, the cooking parameters include refueling time, adding food time, preheating time, preheating gear, whirlpool time, whirlpool speed and whirlpool gear; saving unit: saves the modified cooking parameters to the local library module.

6. A household intelligent cooking machine system according to claim 3, 4 or 5, characterized in that: It also includes a power-off resume frying module, which is connected to the cooking control module and the local library module, and is used to automatically record the cooking progress when the cooking process is interrupted for some reason, and continue the unfinished cooking at the next start.

7. A household intelligent cooking machine system according to claim 6, characterized in that: The power-off continued frying module comprises: Cooking progress unit: monitors the heating temperature, stirring speed and cooking time in real time during the cooking process and stores them in the local library module in real time; Power-off resume unit: When a power outage occurs during cooking, the emergency mechanism is activated immediately, and the machine automatically detects and prompts the user whether to continue the unfinished cooking task at the next startup; Resume cooking unit: After the user chooses to continue cooking, the cooking parameters are automatically adjusted according to the saved cooking status, remaining cooking time and current dish status.

8. The household intelligent cooking machine system according to claim 7, characterized in that: The power-off resume frying module also includes an ingredient status evaluation unit: based on the ingredient status parameters last recorded before the power outage, combined with the ingredient characteristic database, the ingredient status changes during the power outage are predicted, and when the cooking unit is resumed and started, the cooking parameters are automatically adjusted according to the predicted ingredient status changes.

9. A household intelligent cooking machine system according to claim 8, characterized in that: The generation of the food characteristics database includes: In a laboratory environment, the ingredients are tested in multiple dimensions; Build a test room that simulates a home kitchen environment to simulate the effects of different cooking equipment, cooking methods and environmental conditions on the state of ingredients; Use deep learning methods to train the collected food status data and establish a neural network model; By using the feature extraction method, the feature that has the greatest impact on the change of food state is extracted from the food state data; According to the changing trend of food status over time, the time series analysis method is used to predict the dynamic changes of food during the cooking process.

10. The household intelligent cooking machine system according to claim 1, characterized in that: It also includes a dish recommendation module: based on the user's cooking history and preferences, it recommends relevant dishes and cooking parameters.

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