Intelligent temperature control method and system for electromagnetic heating controller
Through intelligent temperature control methods and systems, the electromagnetic heating controller is comprehensively analyzed and risk assessment, which solves the problem of difficult to ensure heating uniformity and achieves a more efficient and stable heating process.
Patent Information
- Application Number
- CN202510471539.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-15
- Publication Date
- 2025-06-13
AI Technical Summary
The prior art is difficult to ensure heating uniformity in electromagnetic heating controllers, resulting in local overheating or underheating, affecting product quality and production efficiency.
Design an intelligent temperature control method and system to obtain heating chamber structure data, heating coil data of electromagnetic heating controller, heating object data and temperature feedback data, conduct comprehensive analysis, evaluate the temperature control risks, and issue a temperature control optimization warning to the controller.
The uniformity and stability of the electromagnetic heating controller are improved, thereby improving the heating efficiency and avoiding local overheating or underheating.
Smart Images
Figure CN120152084A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of temperature control, and in particular, to an intelligent temperature control method and system for an electromagnetic heating controller. Background Art
[0002] An electromagnetic heating controller is a device that converts electrical energy into heat energy using the principle of electromagnetic induction. It has the advantages of fast heating speed, high efficiency, no pollution, and environmental friendliness, and is widely used in plastic processing, crude oil transportation, food machinery, pharmaceutical and chemical machinery, and other similar heating industries. The electromagnetic heating process of the electromagnetic heating controller essentially relies on the principle of electromagnetic induction to efficiently convert electrical energy into heat energy. However, this conversion process is extremely susceptible to the influence of the electromagnetic field distribution, making it difficult to ensure heating uniformity. The non-uniform distribution of the electromagnetic field will not only cause uneven temperature distribution within the heating area but may also lead to local overheating or underheating phenomena, seriously affecting product quality and production efficiency.
[0003] When the prior art controls the temperature during the heating of the electromagnetic heating controller, relatively simple control strategies are often adopted, such as on-off control based on a preset temperature threshold or traditional PID control algorithms. These control methods mainly focus on the rise and fall of the overall temperature, without considering the shape of the heated object and the temperatures at its different positions, which affects the heating state of the object, resulting in non-uniform heating of the electromagnetic heating controller. They also ignore that the temperature rise in different regions of the heating cavity is affected by the electromagnetic field intensity distribution in different regions, and the difference in the number of turns of the heating coil will lead to differences in the electromagnetic field intensity distribution, thereby affecting the heating efficiency of different regions. The existing temperature control methods do not take the above factors into consideration, resulting in a deviation in the heating control state of the electromagnetic heating controller and being unable to accurately reflect the true temperature conditions of each region within the heating cavity.
[0004] To solve these problems, the present application designs an intelligent temperature control method and system for an electromagnetic heating controller. Summary of the Invention
[0005] The purpose of the present invention is to provide an intelligent temperature control method and system for an electromagnetic heating controller. An intelligent temperature control method for an electromagnetic heating controller provided by an embodiment of the present invention can comprehensively analyze the heating state of the heated object and the heating control state of the electromagnetic heating controller, and then evaluate the temperature control risk of the electromagnetic heating controller; improve the uniformity and stability of the electromagnetic heating controller, thereby improving the heating efficiency.
[0006] The present invention is implemented as follows: In a first aspect, the present invention provides an intelligent temperature control method for an electromagnetic heating controller, including the following steps: S1. Obtain the heating cavity structure data and the heating coil data of the electromagnetic heating controller, and at the same time obtain the heated object data and the temperature feedback data; S2. Analyze the heating state of the heated object according to the heated object data and the temperature feedback data; S3. Analyze the heating distribution uniformity of the heating cavity according to the heating cavity structure data and the heating coil data of the electromagnetic heating controller; S4. Analyze the heating control state of the electromagnetic heating controller based on the heating distribution uniformity analysis result of the heating cavity and the temperature feedback data; S5. Evaluate the temperature control risk of the electromagnetic heating controller based on the heating state analysis result of the heated object and the heating control state analysis result of the electromagnetic heating controller; S6. Give a temperature control optimization warning to the electromagnetic heating controller based on the temperature control risk assessment result of the electromagnetic heating controller.
[0007] Preferably, on the basis of the above solution, in step S2, analyzing the heating state of the heated object includes the following specific steps: S21. Extract the heated object data and the temperature feedback data, where the temperature feedback data includes: the heated object temperature data and the heating cavity temperature rise data; S22. Analyze the shape complexity of the heated object based on the heated object data to obtain the shape complexity analysis result of the heated object; S23. Analyze the temperature difference degree of the heated object based on the heated object temperature data to obtain the temperature difference degree analysis result of the heated object; S24. Perform a weighted sum on the shape complexity analysis result and the temperature difference degree analysis result of the heated object to obtain the heating state analysis result of the heated object.
[0008] Preferably, on the basis of the above solution, in step S3, analyzing the heating distribution uniformity of the heating cavity according to the heating cavity structure data and the heating coil data of the electromagnetic heating controller includes the following specific steps: S31. Extract the heating cavity structure data and the heating coil data of the electromagnetic heating controller; S32. Analyze the heating distribution uniformity of the heating cavity based on the heating cavity structure data and the heating coil data to obtain the heating distribution uniformity analysis result of the heating cavity.
[0009] Preferably, on the basis of the above solution, in step S4, analyzing the heating control state of the electromagnetic heating controller based on the heating distribution uniformity analysis result of the heating cavity and the temperature feedback data includes the following specific contents: S41. Extract the heating chamber temperature rise data from the temperature feedback data and the analysis result of the heating distribution uniformity of the heating chamber obtained by analysis; S42. Analyze the heating control state of the electromagnetic heating controller based on the heating chamber temperature rise data and the analysis result of the heating distribution uniformity of the heating chamber obtained by analysis, and obtain the analysis result of the heating control state of the electromagnetic heating controller.
[0010] Preferably, based on the analysis result of the heated state of the heated object and the analysis result of the heating control state of the electromagnetic heating controller in step S5, the temperature control risk of the electromagnetic heating controller is evaluated, including the following specific contents: S51. Obtain the analysis result of the heated state of the heated object and the analysis result of the heating control state of the electromagnetic heating controller obtained by analysis; S52. Perform weighted summation on the analysis result of the heated state of the heated object and the analysis result of the heating control state of the electromagnetic heating controller to obtain the evaluation result of the temperature control risk of the electromagnetic heating controller.
[0011] Preferably, step S5 includes the following specific contents: Obtain the evaluation result of the temperature control risk of the electromagnetic heating controller obtained by evaluation, preset the temperature control risk threshold, and when the evaluation result of the temperature control risk of the electromagnetic heating controller is greater than the temperature control risk threshold, send a temperature control optimization warning instruction to the electromagnetic heating controller.
[0012] In a second aspect, the present invention provides an intelligent temperature control system for an electromagnetic heating controller, including: A data acquisition module, configured to acquire the heating chamber structure data and the heating coil data of the electromagnetic heating controller, and at the same time acquire the heated object data and the temperature feedback data; An object heated state analysis module, configured to analyze the heated state of the heated object according to the heated object data and the temperature feedback data; A heating distribution uniformity analysis module, configured to analyze the heating distribution uniformity of the heating chamber according to the heating chamber structure data and the heating coil data of the electromagnetic heating controller; A heating control state analysis module, configured to analyze the heating control state of the electromagnetic heating controller based on the analysis result of the heating distribution uniformity of the heating chamber and the temperature feedback data; A temperature control risk evaluation module, configured to evaluate the temperature control risk of the electromagnetic heating controller based on the analysis result of the heated state of the heated object and the analysis result of the heating control state of the electromagnetic heating controller; A temperature control optimization warning module, configured to perform temperature control optimization warning on the electromagnetic heating controller based on the temperature control risk evaluation result of the electromagnetic heating controller; A control module for controlling the operation of a data acquisition module, an object heating state analysis module, a heating distribution uniformity analysis module, a heating control state analysis module, a temperature control risk assessment module, and a temperature control optimization warning module.
[0013] In a third aspect, the present invention provides an electronic device, including: a processor and a memory, wherein a computer program callable by the processor is stored in the memory; the processor executes an intelligent temperature control method for an electromagnetic heating controller by calling the computer program stored in the memory.
[0014] In a fourth aspect, the present invention provides a computer-readable storage medium storing instructions, which when run on a computer, cause the computer to execute an intelligent temperature control method for an electromagnetic heating controller.
[0015] Compared with the prior art, the present invention has the following advantages and beneficial effects: The present invention analyzes the heating state of a heated object based on heating object data and temperature feedback data; analyzes the heating distribution uniformity of a heating cavity based on heating cavity structure data and heating coil data of an electromagnetic heating controller; analyzes the heating control state of the electromagnetic heating controller based on the heating distribution uniformity analysis result of the heating cavity and temperature feedback data; evaluates the temperature control risk of the electromagnetic heating controller based on the heating state analysis result of the heated object and the heating control state analysis result of the electromagnetic heating controller; and issues a temperature control optimization warning to the electromagnetic heating controller based on the temperature control risk assessment result of the electromagnetic heating controller. The present invention can improve the uniformity and stability of the electromagnetic heating controller, thereby improving the heating efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Other features, objects, and advantages of the present invention will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 It is a schematic overall flow chart of an intelligent temperature control method for an electromagnetic heating controller of the present invention; Figure 2 It is a schematic structural diagram of an intelligent temperature control system for an electromagnetic heating controller of the present invention; Figure 3 It is a working flow chart of step S2 in an intelligent temperature control method for an electromagnetic heating controller of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0017] The technical solution of the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. Without conflict, the technical features in the embodiments of the present invention and the embodiments can be combined with each other.
[0018] Embodiment 1 As Figure 1 、 Figure 3 shown, this embodiment provides an intelligent temperature control method for an electromagnetic heating controller, which specifically includes the following steps: S1. Obtain the heating cavity structure data and the heating coil data of the electromagnetic heating controller, and at the same time obtain the heated object data and the temperature feedback data; S2. Analyze the heating state of the heated object according to the heated object data and the temperature feedback data; S3. Analyze the heating distribution uniformity of the heating cavity according to the heating cavity structure data and the heating coil data of the electromagnetic heating controller; S4. Analyze the heating control state of the electromagnetic heating controller based on the heating distribution uniformity analysis result of the heating cavity and the temperature feedback data; S5. Evaluate the temperature control risk of the electromagnetic heating controller based on the heating state analysis result of the heated object and the heating control state analysis result of the electromagnetic heating controller; S6. Give a temperature control optimization warning to the electromagnetic heating controller based on the temperature control risk assessment result of the electromagnetic heating controller.
[0019] As a preferred technical solution of the present invention, in step S2, the heating state of the heated object is analyzed. This step integrates the geometric information and the temperature distribution information of the heated object, analyzes the shape complexity based on the geometric information, and analyzes the temperature difference based on the temperature distribution information, so as to reflect the influence of the shape and the temperature distribution on the heating uniformity. It can optimize the problem of poor heating effect caused by heating objects with complex shapes, including the following specific steps: S21. Extract the heated object data and the temperature feedback data, where the temperature feedback data includes: the heated object temperature data and the heating cavity temperature rise data; S22. Analyze the shape complexity of the heated object based on the heated object data to obtain the shape complexity analysis result of the heated object; the curvature change at different positions of the object is the key to describing the shape complexity of the object. Therefore, this step calculates the shape complexity according to the difference change of the curvature at different positions of the object, which can reflect the influence of the shape on the heating uniformity. The calculation formula of the shape complexity can be: , where XF represents the complexity of the shape of the heated object, ci is the curvature of the i-th extraction point on the surface of the heated object extracted from the CAD model of the heated object in the heated object data, n is the number of extraction points on the surface of the heated object in the CAD model of the heated object in the heated object data, and i is any item from 1 to n; S23. Analyze the temperature difference degree of the heated object based on the temperature data of the heated object to obtain the analysis result of the temperature difference degree of the heated object; the temperature change at different positions on the surface of the heated object is a classic index for measuring the temperature distribution uniformity, which directly reflects the fluctuation of the heating state of the heated object. By calculating the temperature standard deviation to calculate the temperature difference degree, the heating uniformity can be fully reflected. Among them, the calculation formula of the temperature difference degree can be: , where WC is the temperature difference degree of the heated object, and Ti is the temperature of the i-th extraction point on the surface of the heated object at the current moment in the temperature data of the heated object; is the average value of the temperatures of all extraction points on the surface of the heated object at the current moment in the temperature data of the heated object, and i is any item from 1 to n; S24. Perform weighted summation on the analysis result of the shape complexity degree and the analysis result of the temperature difference degree of the heated object to obtain the analysis result of the heating state of the heated object. This step takes into account the different degrees of influence of the shape complexity degree and the temperature difference degree on the heating state of the heated object, and performs weighted summation on this to comprehensively evaluate the heating state. Among them, the calculation formula of the heating state of the heated object is: , where SR is the heating state of the heated object; are the influence weights of the shape complexity degree and the influence weight of the temperature difference degree respectively.
[0020] As a preferred technical solution of the present invention, in step S3, based on the heating cavity structure data and the heating coil data of the electromagnetic heating controller, the heating distribution uniformity of the heating cavity is analyzed. This step calculates the heating distribution uniformity through the coil coverage rate and the turn uniformity, so as to reflect the heating effect and can optimize the problem of low efficiency caused by uneven heating of the heating cavity; it includes the following specific steps: S31. Extract the heating cavity structure data and the heating coil data of the electromagnetic heating controller; S32. Analyze the heating distribution uniformity of the heating cavity based on the heating cavity structure data and the heating coil data to obtain the analysis result of the heating distribution uniformity of the heating cavity. This step takes into account that the coverage rate and the turn uniformity of the heating coil will affect the heating distribution uniformity. Therefore, by calculating the difference changes of the coil coverage rate and the number of turns, the uniformity of the electromagnetic field distribution can be directly reflected, so as to reflect the heating effect of the electromagnetic heating controller. Among them, the calculation formula of the heating distribution uniformity can be: , where FB is the heating uniformity of the heating cavity, M is the number of equal-area regions after equally dividing the surface of the heating cavity in the heating cavity structure data, m is the number of equal-area regions with heating coils in the heating coil data, is the average number of turns of the heating coils in all equal-area regions with heating coils in the heating coil data, and Sx is the standard deviation of the number of turns of the heating coils in all equal-area regions with heating coils in the heating coil data.
[0021] As a preferred technical solution of the present invention, in step S4, based on the heating distribution uniformity analysis result of the heating cavity and the temperature feedback data, the heating control state of the electromagnetic heating controller is analyzed. This step calculates the control state score through the standard deviation and mean of the heating rate, which can reflect the control stability of the electromagnetic heating controller and quantify the control performance of the electromagnetic heating controller, thereby realizing the optimization of the temperature control parameters; it includes the following specific contents: S41. Extract the heating cavity temperature rise data in the temperature feedback data and the heating distribution uniformity analysis result of the heating cavity obtained by analysis; S42. According to the heating cavity temperature rise data and the heating distribution uniformity analysis result of the heating cavity obtained by analysis, analyze the heating control state of the electromagnetic heating controller to obtain the heating control state analysis result of the electromagnetic heating controller. This step fully considers that the uniformity of the heating coil distribution and the difference in the heating rate during the heating process will directly reflect the dynamic performance and stability of the controller. Therefore, by integrating the change in the heating distribution uniformity and the difference in the heating rate, the control stability of the controller is quantified. Among them, the calculation formula for the heating control state can be: ; where Ss is the standard deviation of the average heating rate of all equal-area regions on the surface of the heating cavity in the heating cavity temperature rise data at the current moment, and avgs is the mean of the average heating rate of all equal-area regions on the surface of the heating cavity in the heating cavity temperature rise data at the current moment.
[0022] As a preferred technical solution of the present invention, in step S5, based on the heating state analysis result of the heated object and the heating control state analysis result of the electromagnetic heating controller, the temperature control risk of the electromagnetic heating controller is evaluated, including the following specific contents: S51. Obtain the heating state analysis result of the heated object obtained by analysis and the heating control state analysis result of the electromagnetic heating controller. S52. Perform a weighted sum of the analysis results of the heated state of the heated object and the analysis results of the heating control state of the electromagnetic heating controller to obtain the evaluation result of the temperature control risk of the electromagnetic heating controller. This step obtains a risk score through weighted summation, which can reflect the overall performance of the electromagnetic heating controller. By combining the influences of the heated state and the control state, the temperature control risk of the electromagnetic heating controller is quantified. The evaluation formula for the temperature control risk is as follows: , where WK is the temperature control risk of the electromagnetic heating controller, and a and b are the influence weights of the heated state and the heating control state respectively.
[0023] As a preferred technical solution of the present invention, step S5 includes the following specific contents: Obtain the evaluation result of the temperature control risk of the electromagnetic heating controller obtained by evaluation, preset a temperature control risk threshold, and when the evaluation result of the temperature control risk of the electromagnetic heating controller is greater than the temperature control risk threshold, send a temperature control optimization warning instruction to the electromagnetic heating controller. It should be noted that the acquisition method of the set parameters (such as weights and thresholds) in this embodiment is obtained through experiments by those skilled in the art. The specific experimental method is as follows: Obtain the heating coil data and the corresponding heating cavity structure data of the historical electromagnetic heating controller, and obtain the corresponding heated object data and temperature feedback data, substitute them into each step of this embodiment to evaluate the temperature control risk of the historical electromagnetic heating controller, and at the same time obtain the judgment result of the expert on whether there is a risk in the temperature control of the historical electromagnetic heating controller. Import the judgment result of the expert on whether there is a risk in the temperature control of the historical electromagnetic heating controller and the evaluation result of the temperature control risk of the historical electromagnetic heating controller obtained by each step into the fitting software for continuous fitting to obtain the values of the set parameters (such as weights and thresholds) that meet the maximum temperature control risk judgment accuracy rate.
[0024] Embodiment 2 As Figure 2 shown, this embodiment provides an intelligent temperature control system for an electromagnetic heating controller, including: A data acquisition module for acquiring the heating cavity structure data and the heating coil data of the electromagnetic heating controller, and at the same time acquiring the heated object data and the temperature feedback data; An object heated state analysis module for analyzing the heated state of the heated object according to the heated object data and the temperature feedback data; A heating distribution uniformity analysis module for analyzing the heating distribution uniformity of the heating cavity according to the heating cavity structure data and the heating coil data of the electromagnetic heating controller; A heating control state analysis module for analyzing the heating control state of the electromagnetic heating controller based on the heating distribution uniformity analysis result of the heating cavity and the temperature feedback data; A temperature control risk assessment module, configured to assess the temperature control risk of an electromagnetic heating controller based on the analysis result of the heated state of a heated object and the analysis result of the heating control state of the electromagnetic heating controller; A temperature control optimization warning module, configured to give a temperature control optimization warning to the electromagnetic heating controller based on the temperature control risk assessment result of the electromagnetic heating controller; A control module, configured to control the operation of the data acquisition module, the object heated state analysis module, the heating distribution uniformity analysis module, the heating control state analysis module, the temperature control risk assessment module, and the temperature control optimization warning module.
[0025] For the above parameters and the steps for each unit module in an intelligent temperature control system for an electromagnetic heating controller of the present invention to implement corresponding functions, reference can be made to the parameters and steps in the embodiments of an intelligent temperature control method for an electromagnetic heating controller in the foregoing text, which will not be elaborated herein.
[0026] Embodiment 3 An electronic device according to an embodiment of the present invention includes: a processor and a memory, wherein a computer program callable by the processor is stored in the memory, and the processor executes an intelligent temperature control method for an electromagnetic heating controller by calling the computer program stored in the memory. It should be noted that: all computer programs of an intelligent temperature control method for an electromagnetic heating controller are implemented using the C language, and among them, the data acquisition module, the object heated state analysis module, the heating distribution uniformity analysis module, the heating control state analysis module, the temperature control risk assessment module, the temperature control optimization warning module, and the control module are all controlled by a remote server.
[0027] Embodiment 4 This embodiment provides a computer-readable storage medium, on which a rewritable computer program is stored; When the computer program runs on a computer device, the computer device is caused to execute the above-mentioned intelligent temperature control method for an electromagnetic heating controller.
[0028] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.
[0029] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.
Claims
1. An intelligent temperature control method for an electromagnetic heating controller, characterized in that: The steps include: S1, obtaining the heating cavity structure data and the heating coil data of the electromagnetic heating controller, and simultaneously obtaining the heating object data and the temperature feedback data; S2. Analyze the heating state of the heating object according to the heating object data and the temperature feedback data; S3, analyzing the heating distribution uniformity of the heating cavity according to the heating cavity structure data and the heating coil data of the electromagnetic heating controller; S4. Analyze the heating control state of the electromagnetic heating controller based on the heating distribution uniformity analysis result and temperature feedback data of the heating cavity; S5. Based on the analysis results of the heating state of the heated object and the analysis results of the heating control state of the electromagnetic heating controller, assess the temperature control risk of the electromagnetic heating controller; S6. Based on the temperature control risk assessment result of the electromagnetic heating controller, a temperature control optimization warning is provided to the electromagnetic heating controller.
2. The intelligent temperature control method for electromagnetic heating controller according to claim 1, characterized in that: The step S2 analyzes the heating state of the heating object, including the following specific steps: S21, extracting heating object data and temperature feedback data, wherein the temperature feedback data includes: heating object temperature data and heating cavity temperature rise data; S22, analyzing the shape complexity of the heated object based on the heated object data to obtain a shape complexity analysis result of the heated object; S23, analyzing the temperature difference degree of the heated object based on the temperature data of the heated object to obtain a temperature difference degree analysis result of the heated object; S24. Perform weighted summation on the shape complexity analysis results and the temperature difference analysis results of the heated object to obtain a heating state analysis result of the heated object.
3. The intelligent temperature control method for electromagnetic heating controller according to claim 2, characterized in that: In step S3, the heating distribution uniformity of the heating cavity is analyzed according to the heating cavity structure data and the heating coil data of the electromagnetic heating controller, and the specific steps include: S31, extracting heating cavity structure data and heating coil data of the electromagnetic heating controller; S32. Analyze the heating distribution uniformity of the heating cavity based on the heating cavity structure data and the heating coil data to obtain a heating distribution uniformity analysis result of the heating cavity.
4. The intelligent temperature control method for an electromagnetic heating controller according to claim 3, characterized in that: In step S4, based on the heating distribution uniformity analysis result and the temperature feedback data of the heating cavity, the heating control state of the electromagnetic heating controller is analyzed, including the following specific contents: S41, extracting the heating cavity temperature rise data in the temperature feedback data and analyzing the heating distribution uniformity analysis result of the heating cavity; S42. Analyze the heating control state of the electromagnetic heating controller according to the heating cavity temperature rise data and the heating distribution uniformity analysis result of the heating cavity, and obtain the heating control state analysis result of the electromagnetic heating controller.
5. The intelligent temperature control method for electromagnetic heating controller according to claim 4, characterized in that: In step S5, based on the analysis result of the heating state of the heated object and the analysis result of the heating control state of the electromagnetic heating controller, the temperature control risk of the electromagnetic heating controller is evaluated, including the following specific contents: S51, obtaining the analysis results of the heating state of the heating object and the analysis results of the heating control state of the electromagnetic heating controller; S52: Perform a weighted summation on the heating state analysis result of the heated object and the heating control state analysis result of the electromagnetic heating controller to obtain an assessment result of the temperature control risk of the electromagnetic heating controller.
6. The intelligent temperature control method for electromagnetic heating controller according to claim 5, characterized in that: The step S5 includes the following specific contents: An assessment result of the temperature control risk of the electromagnetic heating controller is obtained, and a temperature control risk threshold is preset. When the assessment result of the temperature control risk of the electromagnetic heating controller is greater than the temperature control risk threshold, a temperature control optimization early warning instruction is issued to the electromagnetic heating controller.
7. An intelligent temperature control system for an electromagnetic heating controller, which is implemented based on an intelligent temperature control method for an electromagnetic heating controller according to any one of claims 1 to 6, characterized in that: The system comprises: A data acquisition module is used to acquire the heating cavity structure data and the heating coil data of the electromagnetic heating controller, and simultaneously acquire the heating object data and the temperature feedback data; The object heating state analysis module is used to analyze the heating state of the heating object according to the heating object data and the temperature feedback data; A heating distribution uniformity analysis module is used to analyze the heating distribution uniformity of the heating cavity according to the heating cavity structure data and the heating coil data of the electromagnetic heating controller; A heating control state analysis module, used to analyze the heating control state of the electromagnetic heating controller based on the heating distribution uniformity analysis results and temperature feedback data of the heating cavity; A temperature control risk assessment module, used to assess the temperature control risk of the electromagnetic heating controller based on the analysis results of the heating state of the heated object and the analysis results of the heating control state of the electromagnetic heating controller; A temperature control optimization early warning module is used to provide a temperature control optimization early warning to the electromagnetic heating controller based on the temperature control risk assessment result of the electromagnetic heating controller; A control module is used to control the operation of the data acquisition module, the object heating state analysis module, the heating distribution uniformity analysis module, the heating control state analysis module, the temperature control risk assessment module and the temperature control optimization early warning module.
8. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes an intelligent temperature control method for an electromagnetic heating controller as described in any one of claims 1 to 6 by calling the computer program stored in the memory.
9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute an intelligent temperature control method for an electromagnetic heating controller as described in any one of claims 1 to 6.