Intelligent boiling point recognition cooking electric pot control system

Abstract

The utility model discloses a kind of with intelligent boiling point identification cooking electric cooker control system, including intelligent boiling point identification module, for real-time monitoring and calculating actual boiling point in pot;Multi-mode adaptive control module, for adjusting cooking parameters according to different food materials and user needs;Master module, connect and control the intelligent boiling point identification module and multi-mode adaptive control module;Temperature sensor and pressure sensor are connected with the intelligent boiling point identification module, provide real-time data, the intelligent boiling point identification module includes data acquisition unit, for obtaining temperature and pressure data;Data analysis unit can improve cooking efficiency and quality, adapt to different altitudes and water quality environment, ensure that boiling point can be accurately judged under any environment, adjust cooking parameters, can realize personalized cooking experience, satisfy diversified dietary needs, greatly simplify cooking operation process, provide customized cooking scheme for user.

Description

Technical Field

[0001] This utility model belongs to the field of kitchen appliance technology, specifically relating to a control system for an electric cooker with intelligent boiling point recognition. Background Technology

[0002] An electric steam cooker is a kitchen appliance that uses electric energy to heat water and cook food by generating steam or by combining steam with boiling. Its core function is to convert electrical energy into heat energy to heat water to generate steam, or to directly cook food by steaming or boiling. It has the dual cooking functions of "steaming" and "boiling" and is suitable for cooking a variety of ingredients such as rice, steamed buns, vegetables, and seafood.

[0003] Existing electric rice cookers have the following shortcomings: Traditional electric rice cookers use a fixed temperature control method, which cannot adapt to the differences in boiling points at different altitudes. This results in food being undercooked at high altitudes or overcooked at low altitudes, affecting the taste and nutritional value of the food. They lack intelligent cooking modes for different ingredients, requiring users to manually adjust cooking time and temperature, which is cumbersome and difficult to achieve optimal cooking results. The existing control systems have a low level of intelligence and cannot be personalized according to user habits, failing to meet the needs of modern consumers for convenient and intelligent kitchen appliances. Therefore, we need to upgrade and transform existing technologies. Utility Model Content

[0004] The purpose of this invention is to provide a control system for an electric cooker with intelligent boiling point recognition, so as to solve the problems mentioned in the background art.

[0005] To solve the above problems, the following technical solutions are provided:

[0006] Design a control system for an electric cooker with intelligent boiling point recognition, including:

[0007] The intelligent boiling point recognition module is used to monitor and calculate the actual boiling point inside the pot in real time.

[0008] A multi-mode adaptive control module is used to adjust the steaming parameters according to different ingredients and user needs;

[0009] The main control module connects to and controls the intelligent boiling point recognition module and the multi-mode adaptive control module;

[0010] Temperature and pressure sensors are connected to the intelligent boiling point recognition module to provide real-time data.

[0011] Furthermore, the intelligent boiling point recognition module includes:

[0012] The data acquisition unit is used to acquire temperature and pressure data;

[0013] The data analysis unit is used to analyze the rate of temperature change and the trend of pressure change.

[0014] The boiling point calculation unit calculates the actual boiling point based on the altitude-boiling point model and the water quality-boiling point model.

[0015] Furthermore, the multi-mode adaptive control module includes:

[0016] The ingredient database stores the optimal steaming and cooking parameters for different ingredients;

[0017] The mode matching unit matches the corresponding steaming / cooking mode based on the user's selection.

[0018] The learning optimization unit optimizes cooking parameters through machine learning algorithms.

[0019] Furthermore, it also includes:

[0020] A heating module, connected to the main control module, is used to provide the heat required for steaming and cooking;

[0021] The display and operation module is connected to the main control module and is used for user interaction;

[0022] The communication module is connected to the main control module and supports remote control and data uploading.

[0023] Furthermore, the main control module performs the following steps:

[0024] Receive ingredient or mode information input by the user;

[0025] Acquire sensor data and calculate optimal cooking parameters;

[0026] The heating module is controlled to operate according to the calculated parameters;

[0027] Monitor the cooking process in real time and adjust parameters accordingly;

[0028] It will detect when steaming or cooking is complete and issue a notification.

[0029] Compared with the prior art, the beneficial effects of this utility model are as follows:

[0030] 1. This utility model improves cooking efficiency and quality by setting an intelligent boiling point recognition function, adapts to different altitudes and water quality environments, and ensures that the boiling point can be accurately determined and cooking parameters adjusted under any environment.

[0031] 2. By setting up multi-mode adaptive control and user habit learning functions, this utility model can realize a personalized cooking experience, meet diverse dietary needs, greatly simplify the cooking operation process, and provide users with customized steaming and cooking solutions.

[0032] 3. By setting precise temperature control and a reasonable heating strategy, this utility model can effectively reduce energy waste, lower energy consumption, extend equipment life, and avoid the risk of equipment damage due to overheating.

[0033] Specific embodiments of the present invention are disclosed in detail with reference to the following description and accompanying drawings, indicating how the principles of the present invention can be employed. It should be understood that the embodiments of the present invention are not limited in scope. Within the spirit and scope of the appended claims, the embodiments of the present invention include many changes, modifications, and equivalents. Attached Figure Description

[0034] The accompanying drawings are provided to further illustrate the present invention and form part of the specification. They are used together with the embodiments of the present invention to explain the present invention, but do not constitute a limitation thereof. In the drawings:

[0035] Figure 1 This is a schematic diagram of the overall structure of a cooking electric cooker control system with intelligent boiling point recognition according to the present invention.

[0036] Figure 2 This is a schematic diagram of the hardware structure of a cooking electric cooker control system with intelligent boiling point recognition according to the present invention.

[0037] Figure 3 This is a schematic diagram of the software architecture of a cooking electric cooker control system with intelligent boiling point recognition according to the present invention.

[0038] Figure 4 A three-dimensional view of the hardware structure of a cooking electric cooker control system with intelligent boiling point recognition according to this utility model;

[0039] Figure 5 This is a schematic diagram of the working process of a cooking electric cooker control system with intelligent boiling point recognition according to the present invention. Detailed Implementation

[0040] To make the technical means, creative features, objectives and effects of this utility model easier to understand, the present utility model will be further described below in conjunction with specific embodiments.

[0041] like Figure 1 As shown in Figure 5, this embodiment provides a control system for a cooking rice cooker with intelligent boiling point recognition. The intelligent boiling point recognition module includes:

[0042] High-precision temperature and pressure sensors are used to collect data inside the pot in real time. The temperature sensor is installed at the center of the bottom of the pot and near the top of the side wall, while the pressure sensor is installed at the center of the inside of the pot lid.

[0043] It stores data models such as altitude-boiling point and water quality-boiling point, and dynamically calculates the actual boiling point through intelligent algorithms. Specifically, it includes a data acquisition unit to acquire temperature and pressure data, a data analysis unit to analyze the rate of temperature change and pressure change trends, and a boiling point calculation unit to calculate the actual boiling point based on the altitude-boiling point model and the water quality-boiling point model.

[0044] Real-time monitoring of the temperature change rate, combined with pressure data, accurately determines the boiling point. When the temperature change rate decreases significantly and the pressure data is relatively stable, it is determined that the boiling point has been reached.

[0045] Preferably, the multi-mode adaptive control module includes:

[0046] It has a built-in ingredient database that matches the best steaming and cooking parameters according to the characteristics of different ingredients. The ingredient database stores the best temperature curves and time parameters for various ingredients.

[0047] It offers a variety of preset steaming modes and supports user-defined modes, including quick steaming, nutrient-preserving steaming, and tender steaming.

[0048] By learning user operating habits through machine learning algorithms, personalized recommendations are provided. A collaborative filtering algorithm based on user behavior is used to record information such as the steaming / cooking mode selected by the user each time, the type of ingredients, and the evaluation of the steaming / cooking effect.

[0049] A preferred hardware architecture includes:

[0050] Main control module: Employs a high-performance microprocessor, such as the ARM Cortex-M7 series, responsible for data processing and system control, connecting and controlling the intelligent boiling point identification module, multi-mode adaptive control module, heating module, display and operation module, and communication module.

[0051] Sensor module: Includes temperature sensor, pressure sensor, etc., which connects to the intelligent boiling point recognition module to provide real-time data.

[0052] Heating module: Multiple independently controllable heating units, such as ceramic heating plates, are connected to the main control module via relays to achieve precise temperature control.

[0053] Interaction module: Touch screen and communication interface, connected to the main control module, used for user interaction, supporting local and remote control.

[0054] A preferred software architecture includes:

[0055] Data acquisition layer: Collects and preprocesses sensor data, uses multi-threading technology to achieve parallel acquisition of temperature and pressure sensor data, and performs digital filtering.

[0056] Intelligent Algorithm Layer: Enables boiling point recognition, pattern matching, and parameter optimization, integrating boiling point recognition algorithm, ingredient matching algorithm, and pattern optimization algorithm.

[0057] Control execution layer: Generates control commands and drives hardware execution, and writes heating module control programs based on PID control algorithms.

[0058] User interaction layer: handles user input and feedback information, designs a simple and intuitive user interface on the touch screen, and develops corresponding applications on the mobile APP.

[0059] The operating principle and process of this utility model are as follows: Upon system startup, the temperature and pressure sensors begin operation. The DS18B20 high-precision digital temperature sensor, installed on the bottom and side walls of the pot, monitors real-time temperature changes within the pot; the MPX5050DP pressure sensor, located inside the lid, monitors the pressure within the pot. These sensors transmit the collected temperature and pressure analog signals to the main control module. The main control module converts the analog signals into digital signals via an A / D conversion pin and temporarily stores them in a data buffer. Simultaneously, if the user inputs operation commands via the touchscreen or mobile app, such as selecting a steaming / cooking mode or food type, this information is also transmitted to the main control module. Upon receiving the data, the main control module passes it to the intelligent algorithm layer for processing. Boiling point identification: The intelligent algorithm layer, based on altitude-boiling point and water quality-boiling point data models, combined with the currently acquired altitude information (user input or GPS positioning) and the air pressure measured by the pressure sensor, uses a linear interpolation algorithm to calculate the theoretical boiling point. Simultaneously, the temperature change rate is continuously monitored. When the temperature change rate decreases significantly and the pressure data stabilizes, the actual boiling point is determined to have been reached, and the theoretical boiling point is corrected accordingly. Ingredient matching and mode optimization: Based on the ingredients selected by the user, the optimal temperature curve and time parameters are retrieved from the ingredient database and proportionally scaled according to the actual boiling point. Furthermore, a collaborative filtering algorithm based on user behavior, referencing historical user operating habits and similar user data, optimizes and recommends steaming and cooking modes and parameters. After processing by the intelligent algorithm layer, the generated control commands are sent to the control execution layer. The control execution layer, based on a PID control algorithm, translates the commands into specific controls for the heating module. The main control module controls the heating power of the ceramic heating plate by adjusting the on / off time ratio of the relays connected to the heating module. For example, when the actual temperature is lower than the target temperature, the relay conduction time is increased to increase the heating power; when approaching the target temperature, the conduction time is reduced to achieve precise temperature control. During the steaming / cooking process, if abnormalities such as overheating or overpressure occur, the main control module will immediately cut off the heating power and trigger an alarm mechanism. The display and operation module will show the system's working status in real time, such as the current temperature, remaining time, and steaming / cooking mode. Users can adjust parameters or switch modes at any time via the touchscreen. The mobile app interacts with the rice cooker via HTTP or Bluetooth protocols, allowing users to remotely view the steaming / cooking progress, receive notifications when steaming / cooking is complete, and remotely start the rice cooker, set the steaming / cooking mode and time, achieving a convenient and intelligent cooking experience.

[0060] In the description of this utility model, it should be noted that the terms "upper," "lower," "inner," "outer," "front end," "rear end," "both ends," "one end," and "the other end," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model. In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0061] In the description of this utility model, it should be noted that, unless otherwise explicitly specified and limited, the terms "installed," "equipped with," "connected," etc., should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this utility model according to the specific circumstances.

[0062] The present invention has been described above with reference to specific embodiments. However, those skilled in the art should understand that these descriptions are exemplary and not intended to limit the scope of protection of the present invention. Those skilled in the art can make various modifications and variations to the present invention based on its spirit and principles, and these modifications and variations are also within the scope of the present invention.

Claims

1. A control system for an electric cooker with intelligent boiling point recognition, characterized in that, include: The intelligent boiling point recognition module is used to monitor and calculate the actual boiling point inside the pot in real time. A multi-mode adaptive control module is used to adjust the steaming parameters according to different ingredients and user needs; The main control module connects to and controls the intelligent boiling point recognition module and the multi-mode adaptive control module; Temperature and pressure sensors are connected to the intelligent boiling point recognition module to provide real-time data.

2. The control system for an electric cooker with intelligent boiling point recognition according to claim 1, characterized in that, The intelligent boiling point recognition module includes: The data acquisition unit is used to acquire temperature and pressure data; The data analysis unit is used to analyze the rate of temperature change and the trend of pressure change. The boiling point calculation unit calculates the actual boiling point based on the altitude-boiling point model and the water quality-boiling point model.

3. The control system for an electric cooker with intelligent boiling point recognition according to claim 1, characterized in that, The multi-mode adaptive control module includes: The ingredient database stores the optimal steaming and cooking parameters for different ingredients; The mode matching unit matches the corresponding steaming / cooking mode based on the user's selection. The learning optimization unit optimizes cooking parameters through machine learning algorithms.

4. The control system for an electric cooker with intelligent boiling point recognition according to claim 1, characterized in that, Also includes: A heating module, connected to the main control module, is used to provide the heat required for steaming and cooking; The display and operation module is connected to the main control module and is used for user interaction; The communication module is connected to the main control module and supports remote control and data uploading.

5. The control system for an electric cooker with intelligent boiling point recognition according to claim 1, characterized in that, The main control module performs the following steps: Receive ingredient or mode information input by the user; Acquire sensor data and calculate optimal cooking parameters; The heating module is controlled to operate according to the calculated parameters; Monitor the cooking process in real time and adjust parameters accordingly; It determines when steaming or cooking is complete and issues a notification.

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