A wok material identification and adaptive control system

Abstract

The application discloses a pot material identification and self-adaptive control system, which comprises a controller for processing collected signals and sending driving signals; a detection excitation module connected with the controller for sampling control signals and sending the control signals to the controller; a parameter collection module connected with the controller for collecting parameter information and sending the parameter information to the controller; a material identification module connected with the controller for storing material parameters; a parameter adaptation module connected with the controller for comparing parameters and selecting a suitable heating curve; and a driving control module connected with the controller for realizing heating driving and control adjustment. The application can automatically identify the material of a pot according to the parameters and characteristics of the pot, compare and select through the parameter adaptation module, automatically call the optimized power control, realize self-adaptive cooking of the pot, improve the cooking effect and the cooking stability, and solve the technical defects of the prior art that affect the cooking effect.

Description

Technical Field

[0001] This invention belongs to the field of intelligent cooking technology, specifically relating to a cookware material recognition and adaptive control system. Background Technology

[0002] Cookware made of different materials has significantly different thermal conductivity and electromagnetic induction characteristics. However, conventional smart cooking devices cannot automatically identify the material of the cookware and require users to manually select or use uniform parameters. This is not only inconvenient to operate, but also easily leads to unstable cooking results, thus affecting the cooking outcome. Summary of the Invention

[0003] The purpose of this invention is to provide a cookware material recognition and adaptive control system, which aims to solve the technical deficiencies in the prior art that affect the cooking effect.

[0004] The technical solution for achieving the purpose of this invention is a cookware material identification and adaptive control system, including a controller for processing the acquired signals and issuing drive signals; The detection excitation module, connected to the controller, is used to sample control signals and send them to the controller; A parameter acquisition module, connected to the controller, is used to acquire parameter information and send it to the controller; A material identification module, connected to the controller, is used to store material parameters; A parameter adaptation module, connected to the controller, is used for parameter comparison and selection of a suitable heating curve; The drive control module is connected to the controller and is used to realize heating drive and control adjustment.

[0005] A further preferred embodiment is that the detection excitation module includes a high-frequency pulse generator and a sampling control circuit.

[0006] A further preferred embodiment is that the parameter acquisition module includes an inductance measurement circuit, a resonant frequency detector, a quality parameter identification circuit, and a thermal response test circuit.

[0007] A further preferred embodiment is that the material recognition module includes a feature database circuit, a pattern matching circuit, and a confidence evaluation circuit.

[0008] A further preferred embodiment is that the parameter adaptation module includes a material correlation circuit, a power limiting circuit, and a heating curve adjustment circuit.

[0009] A further preferred embodiment is that the drive control module includes a PWM generator and an IGBT drive circuit; Both the PWM generator and the IGBT drive circuit are connected to the controller, and the output terminal of the IGBT drive circuit is connected to the heating block.

[0010] A further preferred embodiment is that the system includes the following steps: Step A: Place the cookware in the cooking area and inspect the cookware; Step B: Initiate material recognition and apply a detection pulse signal; Step C: Collect multi-dimensional feature parameters and preprocess the feature parameters; Step D: Enter the material feature library for matching and calculate the material matching degree; Step E: Select the material with the highest matching degree and determine the confidence level; Step F: Load the corresponding parameters from the material parameter library and set the power limit; Step G: Adjust the temperature control parameters according to the material and start cooking.

[0011] A further preferred embodiment is that, in step G, characteristic changes are monitored during cooking, and step D is repeated to re-evaluate the material when abnormal fluctuations occur.

[0012] A further preferred option is: in step E, when the confidence level is insufficient, enter manual selection mode; When the confidence level is sufficient, the material of the cookware can be determined.

[0013] Compared with the prior art, the present invention has the following positive effects: the present invention can automatically identify the material of the cookware according to the parameters and characteristics of the cookware, and compare and select from the parameter adaptation module. At the same time, it automatically calls the optimized power control to realize the cookware's adaptive cooking, improve the cooking effect and cooking stability, and solve the technical deficiencies in the prior art that affect the cooking effect. Attached Figure Description

[0014] To make the content of this invention easier to understand, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings, wherein: Figure 1 This is a schematic diagram of the structure of the present invention; Figure 2 This is a flowchart of the present invention.

[0015] Reference numerals: Controller 1, Detection excitation module 2, High-frequency pulse generator 21, Sampling control circuit 22, Parameter acquisition module 3, Inductance measurement circuit 31, Resonant frequency detector 32, Quality parameter identification circuit 33, Thermal response test circuit 34, Material identification module 4, Feature database circuit 41, Pattern matching circuit 42, Confidence assessment circuit 43, Parameter adaptation module 5, Material association circuit 51, Power limiting circuit 52, Heating curve adjustment circuit 53, Drive control module 6, PWM generator 61, IGBT drive circuit 62. Detailed Implementation

[0016] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0017] See Figure 1 and Figure 2 As shown, a cookware material identification and adaptive control system includes a controller 1 for processing acquired signals and issuing drive signals; a detection excitation module 2 connected to the controller for sampling control signals and sending them to the controller; a parameter acquisition module 3 connected to the controller for acquiring parameter information and sending it to the controller; a material identification module 4 connected to the controller for storing material parameters; a parameter adaptation module 5 connected to the controller for comparing parameters and selecting a suitable heating curve; and a drive control module 6 connected to the controller for realizing heating drive and control adjustment.

[0018] In practical applications, the detection excitation module includes a high-frequency pulse generator 21 and a sampling control circuit 22. Furthermore, the parameter acquisition module includes an inductance measurement circuit 31, a resonant frequency detector 32, a quality parameter identification circuit 33, and a thermal response testing circuit 34. The high-frequency pulse generator can apply a detection pulse signal and, in conjunction with the sampling control circuit, acquire multi-dimensional characteristics, such as coil inductance, resonant frequency, quality factor, and short-time thermal response. Furthermore, its material recognition module includes a feature database circuit 41, a pattern matching circuit 42, and a confidence evaluation circuit 43. The feature database circuit can store different parameter data, facilitating comparison and selection of the optimal parameter settings, and the pattern matching circuit enables matching and adjustment of the corresponding cookware. The parameter adaptation module includes a material correlation circuit 51, a power limiting circuit 52, and a heating curve adjustment circuit 53. It can perform material correlation analysis and power limiting adjustment operations, while the heating curve adjustment circuit achieves optimal heating operation.

[0019] In this embodiment, the drive control module includes a PWM generator 61 and an IGBT drive circuit 62; both the PWM generator and the IGBT drive circuit are connected to the controller, and the output terminal of the IGBT drive circuit is connected to the heating block. This allows for the adjustment and control of the heating block. Both the PWM generator and the IGBT drive circuit are conventional circuits from the prior art, simply applied in a basic manner.

[0020] In practical applications, the system includes the following steps: Step A: Place the cookware in the cooking area and inspect the cookware; Step B: Initiate material recognition and apply a detection pulse signal; Step C: Collect multi-dimensional feature parameters and preprocess the feature parameters; Step D: Enter the material feature library for matching and calculate the material matching degree; Step E: Select the material with the highest matching degree and determine the confidence level; Step F: Load the corresponding parameters from the material parameter library and set the power limit; Step G: Adjust the temperature control parameters according to the material and start cooking.

[0021] In step G, characteristic changes are monitored during cooking, and step D is repeated to reassess the material if abnormal fluctuations occur. In step E, if the confidence level is insufficient, manual selection mode is entered; if the confidence level is sufficient, the cookware material is determined.

[0022] Compared with the prior art, the present invention has the following positive effects: the present invention can automatically identify the material of the cookware according to the parameters and characteristics of the cookware, and compare and select from the parameter adaptation module. At the same time, it automatically calls the optimized power control to realize the cookware's adaptive cooking, improve the cooking effect and cooking stability, and solve the technical deficiencies in the prior art that affect the cooking effect.

[0023] The standard parts used in this embodiment can be purchased directly from the market, and the connection methods of each component adopt mature and conventional methods in the existing technology. The machinery, parts and equipment all adopt conventional models in the existing technology, so they will not be described in detail here.

[0024] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, these obvious variations or modifications derived from the essential spirit of the present invention still fall within the scope of protection of the present invention.

Claims

1. A cookware material recognition and adaptive control system, characterized in that: Includes a controller for processing acquired signals and issuing drive signals; The detection excitation module, connected to the controller, is used to sample control signals and send them to the controller; The parameter acquisition module is connected to the controller and is used to acquire parameter information and send it to the controller; A material identification module, connected to the controller, is used to store material parameters; A parameter adaptation module, connected to the controller, is used for parameter comparison and selection of a suitable heating curve; The drive control module is connected to the controller and is used to realize heating drive and control adjustment.

2. The cookware material recognition and adaptive control system according to claim 1, characterized in that: The detection excitation module includes a high-frequency pulse generator and a sampling control circuit.

3. The cookware material recognition and adaptive control system according to claim 1, characterized in that: The parameter acquisition module includes an inductance measurement circuit, a resonant frequency detector, a quality parameter identification circuit, and a thermal response test circuit.

4. The cookware material recognition and adaptive control system according to claim 1, characterized in that: The material recognition module includes a feature database circuit, a pattern matching circuit, and a confidence evaluation circuit.

5. The cookware material recognition and adaptive control system according to claim 1, characterized in that: The parameter adaptation module includes a material correlation circuit, a power limiting circuit, and a heating curve adjustment circuit.

6. The cookware material recognition and adaptive control system according to claim 1, characterized in that: The drive control module includes a PWM generator and an IGBT drive circuit. Both the PWM generator and the IGBT drive circuit are connected to the controller, and the output terminal of the IGBT drive circuit is connected to the heating block.

7. The cookware material recognition and adaptive control system according to claim 1, characterized in that: The system includes the following steps: Step A: Place the cookware in the cooking area and inspect the cookware; Step B: Initiate material recognition and apply a detection pulse signal; Step C: Collect multi-dimensional feature parameters and preprocess the feature parameters; Step D: Enter the material feature library for matching and calculate the material matching degree; Step E: Select the material with the highest matching degree and determine the confidence level; Step F: Load the corresponding parameters from the material parameter library and set the power limit; Step G: Adjust the temperature control parameters according to the material and start cooking.

8. The cookware material recognition and adaptive control system according to claim 7, characterized in that: In step G, feature changes are monitored during cooking, and step D is repeated to reassess the material if abnormal fluctuations occur.

9. A cookware material recognition and adaptive control system according to claim 8, characterized in that: In step E, if the confidence level is insufficient, the manual selection mode is entered; When the confidence level is sufficient, the material of the cookware can be determined.

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