Riser temperature control method and system

Abstract

The invention relates to the technical field of temperature control, and particularly provides a riser temperature control method and system, and the method comprises the steps: continuously detecting the temperature of a carbonized rice husk layer in a heat preservation riser through a thermocouple; defining a target temperature, and calculating a difference value between the temperature and the target temperature to obtain a temperature error; inputting the temperature error into a fuzzy controller to obtain target power of the electric heating device; and adjusting the power of the electric heating device to the target power, wherein the electric heating device is arranged on the upper layer of the carbonized rice husk layer of the insulated feeder. Accurate control over the temperature of the riser is achieved, and therefore the quality of forgings is guaranteed.

Description

Technical Field

[0001] The invention belongs to the technical field of temperature control, and in particular relates to a riser temperature control method and system. Background Art

[0002] With the vigorous development of the energy and chemical industries around the world, related equipment is moving towards large-scale, efficient and integrated. This trend not only promotes the innovation of industrial technology, but also poses unprecedented challenges to the demand for key materials - large forgings. As an indispensable cornerstone for building these heavy equipment, the manufacturing process of large forgings is highly dependent on high-quality large steel ingots. Therefore, the market demand for steel ingots that can meet large-scale and high-performance requirements is growing, becoming an important driving force for promoting technological innovation and industrial upgrading in the steel industry.

[0003] However, as the size of steel ingots continues to expand, technical difficulties in its manufacturing process have also emerged. In particular, the solidification process of the steel ingot becomes more complicated and slow, which places higher requirements on the precise control of the temperature field. The reasonable distribution of the temperature field is crucial to ensure the uniformity of the internal structure of the steel ingot and reduce defects. Especially in the riser area of ​​the steel ingot, where heat is concentrated and difficult to distribute evenly, the difficulty of temperature control increases significantly. As the last part of the steel ingot to solidify, the instability of the temperature field of the riser can easily lead to macro defects such as looseness and shrinkage in this area. These defects are difficult to completely eliminate in the subsequent forging process, and may eventually seriously affect the mechanical properties and reliability of the forgings, and even directly cause the forgings to fail during service, posing a major hidden danger to safe production.

[0004] Therefore, how to effectively improve the solidification process of large steel ingots, especially the temperature field control in the riser area, to reduce or avoid the generation of macro defects has become a key issue that needs to be urgently solved in the current field of steel materials science and engineering technology. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present invention provides a riser temperature control method and system to solve the above-mentioned technical problems.

[0006] In a first aspect, the present invention provides a riser temperature control method, comprising: The temperature of the carbonized rice husk layer in the insulation riser is continuously monitored using a thermocouple; Define a target temperature, calculate the difference between the temperature and the target temperature, and obtain a temperature error; Inputting the temperature error into a fuzzy controller to obtain a target power of the electric heating device; The power of the electric heating device is adjusted to the target power, and the electric heating device is arranged on the upper layer of the carbonized rice husk layer of the heat-insulating riser.

[0007] In an alternative embodiment, a thermocouple is used to continuously detect the temperature of the carbonized rice husk layer in the insulating riser, including: By inserting a thermocouple sensor into the carbonized rice husk layer in the insulating riser, the temperature is converted into an electrical signal; The electrical signal is amplified and filtered, and the processed electrical signal is converted into an actual temperature based on the calibration curve of the thermocouple sensor; The actual temperature is updated to a pre-constructed structure.

[0008] In an alternative embodiment, the fuzzy controller has multiple fuzzy rules, and the multiple fuzzy rules include: Continuously detect the change amount of the temperature error; If the temperature error exceeds a set error threshold, the product of the current power of the electric heating device and 1 + β is set as the target power, where β is the weighted sum of the temperature error and the change amount of the error; If the temperature error does not exceed the error threshold and the change amount of the error is zero or close to zero, the power of the electric heating device is set to remain unchanged; If the temperature error does not exceed the error threshold and the change amount of the error is also decreasing, the electric heating device is turned off; If the temperature error does not exceed the error threshold and the change amount of the error is increasing, the power of the heating device is set to 50% of the rated power.

[0009] In an alternative embodiment, adjusting the power of the electric heating device to the target power includes: Collect the working current of the electric heating device through a current sensor; Based on the rated voltage of the electric heating device and the target power, calculate the target current; Reduce the working current of the electric heating device to the target current.

[0010] In an alternative embodiment, the method further includes: Write the temperature collected by the thermocouple and the corresponding target power into the management log.

[0011] In a second aspect, the present invention provides a riser temperature control system, including: A temperature detection module for continuously detecting the temperature of the carbonized rice husk layer in the insulating riser by using a thermocouple; An error calculation module for defining a target temperature, calculating the difference between the temperature and the target temperature to obtain a temperature error; A fuzzy control module for inputting the temperature error into a fuzzy controller to obtain the target power of the electric heating device; A power control module for adjusting the power of the electric heating device to the target power, where the electric heating device is arranged on the upper layer of the carbonized rice husk layer of the riser.

[0012] In an optional embodiment, the temperature detection module includes: A signal acquisition unit for converting the temperature into an electrical signal by inserting a thermocouple sensor into the carbonized rice husk layer in the riser. A signal processing unit for amplifying and filtering the electrical signal and converting the processed electrical signal into an actual temperature based on the calibration curve of the thermocouple sensor. A data storage unit for updating the actual temperature to a pre-constructed structure.

[0013] In an optional embodiment, the fuzzy controller has multiple fuzzy rules, and the multiple fuzzy rules include: Continuously detecting the change amount of the temperature error. If the temperature error exceeds the set error threshold, then set the product of the current power of the electric heating device and 1 + β as the target power, where β is the weighted sum of the temperature error and the change amount of the error. If the temperature error does not exceed the error threshold and the change amount of the error is zero or close to zero, then set the power of the electric heating device to remain unchanged. If the temperature error does not exceed the error threshold and the change amount of the error is also decreasing, then turn off the electric heating device. If the temperature error does not exceed the error threshold and the change amount of the error is increasing, then set the power of the heating device to 50% of the rated power.

[0014] In an optional embodiment, the power control module includes: A current acquisition unit for collecting the working current of the electric heating device through a current sensor. A current calculation unit for calculating the target current based on the rated voltage of the electric heating device and the target power. A current regulation unit for reducing the working current of the electric heating device to the target current.

[0015] In an optional embodiment, the system further includes: A log recording module for writing the temperature collected by the thermocouple and the corresponding target power into the management log.

[0016] The beneficial effect of the present invention is that the riser temperature control method and system provided by the present invention realize precise control of the riser temperature by using a thermocouple to detect the temperature of the carbonized rice husk layer in the riser and controlling the power of the electric heating device based on the detected temperature, thereby ensuring the quality of the forgings.

[0017] In addition, the design principle of the present invention is reliable, the structure is simple, and it has a very broad application prospect. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 is a schematic flowchart of the method according to an embodiment of the present invention.

[0020] Figure 2 is a schematic block diagram of the system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] In order to enable those skilled in the art of the present technology to better understand the technical solutions in the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field of the present invention. The terms used in the specification of the present invention herein are only for the purpose of describing specific embodiments, and are not intended to limit the present invention.

[0023] The riser temperature control method provided by the embodiment of the present invention is executed by a computer device. Correspondingly, the riser temperature control system runs in the computer device.

[0024] Figure 1 is a schematic flowchart of the method according to an embodiment of the present invention. Among them, Figure 1 The execution subject is a riser temperature control system. According to different requirements, the order of the steps in this flowchart is changed and some are omitted.

[0025] As Figure 1 shown, the method includes: S1. Continuously detect the temperature of the carbonized rice husk layer in the insulating riser using a thermocouple.

[0026] Using a high-precision thermocouple as a temperature sensor, continuously monitor the temperature of the carbonized rice husk layer inside the insulating riser. Due to its stable, reliable, and rapid response characteristics, the thermocouple can accurately capture the temperature fluctuations of the carbonized rice husk layer during solidification, providing accurate data support for subsequent temperature control. To ensure the continuity and accuracy of the data, the installation position of the thermocouple needs to be carefully designed to ensure that it can truly reflect the actual temperature conditions of the carbonized rice husk layer.

[0027] S2. Define the target temperature, calculate the difference between the temperature and the target temperature to obtain the temperature error.

[0028] After obtaining the real-time temperature of the carbonized rice husk layer, according to the production process requirements, a reasonable target temperature range is predefined in advance. This target temperature is based on an in-depth understanding of the solidification characteristics of the ingot, aiming to ensure the uniformity of the internal structure of the ingot and reduce the generation of defects. Subsequently, by calculating the difference between the real-time temperature and the target temperature, the temperature error is obtained, which is the direct basis for the subsequent fuzzy controller to adjust the heating power.

[0029] S3. Input the temperature error into the fuzzy controller to obtain the target power of the electric heating device.

[0030] The fuzzy controller is an intelligent control algorithm based on fuzzy logic, which can make effective decisions in uncertain and nonlinear environments. In this step, the calculated temperature error is input into the fuzzy controller. The fuzzy controller performs fuzzy processing on the temperature error according to the preset rule base and membership function, and then based on fuzzy inference, calculates the target power of the electric heating device. This process avoids the overshoot or undershoot problems that may occur in traditional control methods, making the temperature control more accurate and stable.

[0031] S4. Adjust the power of the electric heating device to the target power, and the electric heating device is arranged on the upper layer of the carbonized rice husk layer of the insulating riser.

[0032] According to the target power output by the fuzzy controller, adjust the power of the electric heating device arranged on the upper layer of the carbonized rice husk layer of the insulating riser. The electric heating device controls the heating of the carbonized rice husk layer by adjusting the current or voltage of its heating element, thereby controlling its temperature. By dynamically adjusting the power of the electric heating device, the temperature of the carbonized rice husk layer is effectively maintained within the target range, reducing temperature fluctuations, and ensuring the stability and quality of the ingot solidification process.

[0033] In summary, this series of steps constitutes a closed-loop temperature control system. Through continuous monitoring, precise calculation, intelligent control, and dynamic adjustment, precise control of the temperature of the carbonized rice husk layer inside the insulating riser is achieved, providing a strong guarantee for improving the quality and production efficiency of large ingots.

[0034] In one embodiment of the present invention, based on step S1, a possible embodiment will be given below to non - restrictively elaborate on its specific implementation scheme.

[0035] By inserting a thermocouple sensor into the carbonized rice husk layer inside the insulating riser, the temperature is converted into an electrical signal; the electrical signal is amplified and filtered, and based on the calibration curve of the thermocouple sensor, the processed electrical signal is converted into the actual temperature; the actual temperature is updated to a pre - constructed structure.

[0036] In a specific example, the temperature detection process is as follows: S101. Deployment and signal conversion of the thermocouple sensor: In this step, first, the thermocouple sensor is carefully inserted into the carbonized rice husk layer inside the insulating riser. As a mature temperature measurement tool, the thermocouple sensor works based on the thermoelectric effect and can directly convert the temperature of the carbonized rice husk layer into a corresponding electrical signal. This electrical signal is usually a weak millivolt - level voltage, representing the real - time temperature information of the carbonized rice husk layer.

[0037] S102. Amplification and filtering of the electrical signal: Since the electrical signal output by the thermocouple sensor is very weak and may be interfered by environmental noise, before subsequent processing, the electrical signal needs to be amplified and filtered. The amplification circuit enhances the intensity of the electrical signal to make it reach the level required by the subsequent processing circuit; while the filtering circuit removes the high - frequency noise and interference in the electrical signal to ensure the accuracy of temperature measurement.

[0038] S103. Temperature conversion based on the calibration curve: Each thermocouple sensor has its unique calibration curve, which describes the correspondence between the electrical signal and the temperature. In this step, using the calibration curve of the thermocouple sensor, the amplified and filtered electrical signal is converted into the actual temperature value. This process usually involves complex mathematical operations and interpolation algorithms to ensure the accuracy and precision of temperature conversion.

[0039] S104. Update and storage of temperature data: Finally, the converted actual temperature value is updated to the pre - constructed structure. This structure may be a data structure containing multiple fields, used to store various information in the temperature measurement process, such as timestamp, temperature value, sensor number, etc. By continuously updating the temperature data in the structure, the temperature change of the carbonized rice husk layer inside the insulating riser is monitored in real - time, providing reliable data support for subsequent temperature control and data analysis.

[0040] By inserting a thermocouple sensor into the carbonized rice husk layer inside the insulating riser, and through signal amplification, filtering, and temperature conversion based on a calibration curve, the actual temperature value of the carbonized rice husk layer is obtained and updated into a pre-constructed structure. This series of steps constitutes a complete temperature measurement system, providing accurate and reliable temperature data for subsequent temperature control and data analysis.

[0041] In an embodiment of the present invention, based on step S3, a possible embodiment will be given below to non-restrictively elaborate on its specific implementation.

[0042] Fuzzy PID control is an advanced control method that combines fuzzy logic with the traditional PID (Proportional-Integral-Derivative) control strategy. It aims to improve the adaptability and robustness of the control system, especially when facing non-linear, time-varying, or uncertain systems. The following is a detailed description of the fuzzy PID control process, including an in-depth explanation of each step: (1) Fuzzification: Input quantity processing: First, scale the two main input quantities of the PID controller - the temperature error e(t) and its change rate ec(t), that is, convert the actual physical quantity into the range processed by the fuzzy controller.

[0043] Fuzzy language values: Determine the fuzzy language values of e(t) and ec(t), such as "negative large", "negative medium", "negative small", "zero", "positive small", "positive medium", "positive large", etc., which reflect different states of the input quantity.

[0044] Membership functions: Set corresponding membership functions for each fuzzy language value, and these functions describe the degree to which the input quantity belongs to each fuzzy language value. Commonly used membership functions include Gaussian functions, triangular functions, etc.

[0045] (2) Establish a fuzzy rule base: Rule formulation: Based on the control objectives and empirical knowledge of the system, establish a series of fuzzy inference rules. These rules describe how the output of the PID controller (i.e., the power adjustment of the electric heating device) should change under different input states.

[0046] Specific rules: Large error situation: If the temperature error e(t) exceeds the set error threshold, indicating that the current state of the system is far from the target temperature, at this time, the power needs to be adjusted quickly to reduce the error. Therefore, set the product of the current power of the electric heating device and 1 + β as the target power, where β is the weighted sum of the temperature error e(t) and the error change rate ec(t), and the weights can be adjusted according to the actual situation.

[0047] Small error and stable situation: If the temperature error e(t) does not exceed the error threshold and the error change rate ec(t) is zero or close to zero, it indicates that the current state of the system is close to the target temperature and tends to be stable. At this time, the power should be kept unchanged to avoid over-adjustment.

[0048] Small error and error decreasing situation: If the temperature error e(t) does not exceed the error threshold and the error change rate ec(t) is decreasing, it indicates that the system is approaching the target temperature and accelerating. At this time, the electric heating device should be turned off to allow the system to cool naturally to the target temperature.

[0049] Small error but error increasing situation: If the temperature error e(t) does not exceed the error threshold but the error change rate ec(t) is increasing, it indicates that the system has a tendency to deviate from the target temperature. At this time, the power of the heating device should be set to 50% of the rated power to slow down the rate of error increase.

[0050] (3)Fuzzy inference: Inference mechanism: According to the fuzzy linguistic values and membership functions of the input variables e(t) and ec(t), as well as the inference rules in the fuzzy rule base, fuzzy inference is carried out. The inference process may involve the simultaneous matching of multiple rules and weight calculation, and finally the fuzzy linguistic values and membership degrees of the output variable are obtained.

[0051] (4)Defuzzification: Conversion of the output variable: Convert the output variable obtained from fuzzy inference (i.e., the fuzzy linguistic values and membership degrees of the control variable) into a specific control output value. This usually involves the calculation of the scale factor to convert the output range of the fuzzy controller into the adjustment range of the actual power of the electric heating device.

[0052] Control output: Apply the defuzzified control output value to the electric heating device to achieve precise control of the temperature of the carbonized rice husk layer in the insulating riser.

[0053] Advantages of introducing fuzzy logic: By introducing fuzzy logic, fuzzy PID control not only retains the advantages of traditional PID controllers, such as simple structure and easy implementation, but also significantly improves the adaptability and robustness of the control system. Fuzzy logic can handle the uncertainty of input variables and automatically adjust the parameters of the PID controller (such as the proportional coefficient, integral coefficient, and differential coefficient) according to the changes in the control situation, thus realizing parameter self-tuning. This adaptive ability enables fuzzy PID control to more effectively cope with the control challenges of nonlinear, time-varying, or uncertain systems.

[0054] In an embodiment of the present invention, based on step S4, the following will give a possible embodiment to non-restrictively elaborate on its specific implementation scheme.

[0055] In a specific example, the power control method is as follows: (1) The current sensor collects the working current: In this step, a high-precision current sensor is used to collect the actual working current of the electric heating device. The current sensor can monitor the current change in the electric heating device in real time, providing accurate data support for subsequent current control. Through the current sensor, the real-time working state of the electric heating device is ensured, so as to detect and handle any possible abnormal conditions in a timely manner.

[0056] (2) Calculate the target current based on the rated voltage and the target power: After obtaining the actual working current of the electric heating device, it is necessary to calculate the target current according to the rated voltage of the electric heating device and the target power output by the fuzzy controller. This process involves the basic relationship between power, current and voltage, that is, P = UI (power equals voltage multiplied by current). Through this calculation, the current value required to reach the target power at a given voltage, that is, the target current, is obtained.

[0057] (3) Reduce the working current to the target current: Finally, it is necessary to adjust the working current of the electric heating device according to the calculated target current. If the actual working current is higher than the target current, the working current is reduced by reducing the current or voltage of the heating element; conversely, if the actual working current is lower than the target current, the working current is increased by increasing the current or voltage of the heating element. Through this adjustment process, it is ensured that the electric heating device can work precisely according to the target power, thereby realizing the precise control of the temperature of the carbonized rice husk layer.

[0058] The introduction of this step not only improves the accuracy of temperature control, but also enhances the stability and reliability of the system. By real-time monitoring and adjusting the working current of the electric heating device, abnormal conditions such as overcurrent or undercurrent are effectively avoided, thereby ensuring the smooth progress of the ingot solidification process and the quality of the final product.

[0059] On the basis of the above embodiments, in order to further improve the traceability of the data provided by the above embodiments, in one embodiment, the temperature collected by the thermocouple and the corresponding target power are written into the management log, and the following process is specifically executed: (1) Recording of the temperature and target power collected by the thermocouple: In this step, ensure that the temperature data of the carbonized rice husk layer continuously collected by the thermocouple, as well as the target power calculated by the fuzzy controller based on this temperature data, are accurately and timely recorded. This involves data collection, collation, and storage, usually accomplished through a dedicated data acquisition system or software. These records not only include real-time temperature and power values but may also include additional information such as timestamps and equipment status for subsequent data analysis and problem tracing.

[0060] (2)Creation and maintenance of management logs: To systematically manage these records, management logs are created. A management log is a document or database containing all key temperature data and power adjustment records, providing a comprehensive review of the entire temperature control process. In the log, each record corresponds to a specific time point, showing the temperature status of the carbonized rice husk layer at that time and the power adjustment measures taken to reach the target temperature. This recording method helps understand the dynamic process of temperature control, identify potential problem areas, and provide data support for future optimization.

[0061] (3)Review and analysis of logs: The creation of the management log is not the end but the starting point for data analysis and continuous improvement. By regularly reviewing the log, trends, anomalies, and patterns in the temperature control process can be discovered. For example, if the log shows frequent overshoot or undershoot of temperature, it may mean that the parameters of the fuzzy controller need to be adjusted, or the installation position of the thermocouple needs to be optimized. In addition, the log can also be used to evaluate the performance of the electric heating device, identify potential fault points, and formulate corresponding maintenance plans.

[0062] (4)Compliance and quality assurance: Writing the temperature collected by the thermocouple and the corresponding target power into the management log also complies with industry standards and regulatory requirements, providing strong evidence for product quality and process control. In cases such as quality audits, customer inquiries, or legal proceedings, the management log can serve as an important reference document to prove compliance with established production processes and quality control standards.

[0063] In summary, writing the temperature collected by the thermocouple and the corresponding target power into the management log is an essential part of the temperature control process. It not only helps to monitor and adjust the temperature control process in real time but also provides valuable information resources for data analysis and continuous improvement. By introducing this step, the accuracy and stability of temperature control can be further improved, ensuring the quality and efficiency of the ingot solidification process.

[0064] In some embodiments, the riser temperature control system includes multiple functional modules composed of computer program segments. The computer programs of each program segment in the riser temperature control system are stored in the memory of a computer device and executed by at least one processor to perform (see details in Figure 1 the description) the function of riser temperature control.

[0065] In this embodiment, the riser temperature control system is divided into multiple functional modules according to the functions it performs, as Figure 2 shown. The functional modules of system 200 include: a temperature detection module 210, an error calculation module 220, a fuzzy control module 230, and a power control module 240. A module as referred to in the present invention means a series of computer program segments that can be executed by at least one processor and can complete a fixed function, and is stored in the memory. In this embodiment, the functions of each module will be described in detail in subsequent embodiments.

[0066] The temperature detection module is used to continuously detect the temperature of the carbonized rice husk layer in the insulating riser by using a thermocouple; The error calculation module is used to define a target temperature, calculate the difference between the temperature and the target temperature, and obtain a temperature error; The fuzzy control module is used to input the temperature error into a fuzzy controller to obtain the target power of the electric heating device; The power control module is used to adjust the power of the electric heating device to the target power, and the electric heating device is arranged on the upper layer of the carbonized rice husk layer of the insulating riser.

[0067] Optionally, as an embodiment of the present invention, the temperature detection module includes: A signal acquisition unit, which is used to insert a thermocouple sensor into the carbonized rice husk layer in the insulating riser to convert the temperature into an electrical signal; A signal processing unit, which is used to amplify and filter the electrical signal, and convert the processed electrical signal into an actual temperature based on the calibration curve of the thermocouple sensor; A data storage unit, which is used to update the actual temperature to a pre-constructed structure.

[0068] Optionally, as an embodiment of the present invention, the fuzzy controller has multiple fuzzy rules, and the multiple fuzzy rules include: Continuously detect the change amount of the temperature error; If the temperature error exceeds a set error threshold, then set the product of the current power of the electric heating device and 1 + β as the target power, where β is the weighted sum of the temperature error and the change amount of the error; If the temperature error does not exceed the error threshold and the change in the error is zero or close to zero, the power of the electric heating device is set to remain unchanged; If the temperature error does not exceed the error threshold and the change in the error is also decreasing, the electric heating device is turned off; If the temperature error does not exceed the error threshold and the change in the error is increasing, the power of the heating device is set to 50% of the rated power.

[0069] Optionally, as an embodiment of the present invention, the power control module includes: A current acquisition unit for acquiring the operating current of the electric heating device through a current sensor; A current calculation unit for calculating a target current based on the rated voltage of the electric heating device and the target power; A current adjustment unit for reducing the operating current of the electric heating device to the target current.

[0070] Optionally, as an embodiment of the present invention, the system further includes: A log recording module for writing the temperature collected by the thermocouple and the corresponding target power into a management log.

[0071] Although the present invention has been described in detail by referring to the accompanying drawings and in combination with the preferred embodiments, the present invention is not limited thereto. Without departing from the spirit and essence of the present invention, those of ordinary skill in the art make various equivalent modifications or substitutions to the embodiments of the present invention, and these modifications or substitutions should all be within the scope of the present invention / Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention.

Claims

1. A riser temperature control method, characterized in that, Including: Continuously detect the temperature of the carbonized rice husk layer in the insulating riser using a thermocouple; Define a target temperature, calculate the difference between the temperature and the target temperature to obtain a temperature error; Input the temperature error into a fuzzy controller to obtain the target power of the electric heating device; Adjust the power of the electric heating device to the target power, and the electric heating device is arranged on the upper layer of the carbonized rice husk layer of the insulating riser.

2. The method according to claim 1, wherein Continuously detect the temperature of the carbonized rice husk layer in the insulating riser using a thermocouple, including: Insert a thermocouple sensor into the carbonized rice husk layer in the insulating riser to convert the temperature into an electrical signal; Amplify and filter the electrical signal, and convert the processed electrical signal into an actual temperature based on the calibration curve of the thermocouple sensor; Update the actual temperature to a pre-constructed structure.

3. The method according to claim 1, characterized in that, The fuzzy controller has multiple fuzzy rules, and the multiple fuzzy rules include: Continuously detect the change amount of the temperature error; If the temperature error exceeds a set error threshold, set the product of the current power of the electric heating device and 1 + β as the target power, where β is the weighted sum of the temperature error and the change amount of the error; If the temperature error does not exceed the error threshold and the change amount of the error is zero or close to zero, set the power of the electric heating device to remain unchanged; If the temperature error does not exceed the error threshold and the change amount of the error is also decreasing, turn off the electric heating device; If the temperature error does not exceed the error threshold and the change amount of the error is increasing, set the power of the heating device to 50% of the rated power.

4. The method according to claim 1, wherein Adjust the power of the electric heating device to the target power, including: Collect the operating current of the electric heating device through a current sensor; Calculate the target current based on the rated voltage of the electric heating device and the target power; Reduce the operating current of the electric heating device to the target current.

5. The method according to claim 1, characterized in that, The method further includes: Write the temperature collected by the thermocouple and the corresponding target power into the management log.

6. A riser temperature control system, characterized in that, Including: A temperature detection module for continuously detecting the temperature of the carbonized rice husk layer in the insulating riser using a thermocouple; An error calculation module for defining a target temperature, calculating the difference between the temperature and the target temperature to obtain a temperature error; A fuzzy control module for inputting the temperature error into a fuzzy controller to obtain the target power of the electric heating device; A power control module for adjusting the power of the electric heating device to the target power, and the electric heating device is arranged on the upper layer of the carbonized rice husk layer of the insulating riser.

7. The system according to claim 6, wherein The temperature detection module includes: A signal acquisition unit for inserting a thermocouple sensor into the carbonized rice husk layer in the insulating riser to convert the temperature into an electrical signal; A signal processing unit for amplifying and filtering the electrical signal, and converting the processed electrical signal into an actual temperature based on the calibration curve of the thermocouple sensor; A data storage unit for updating the actual temperature to a pre-constructed structure.

8. The system according to claim 6, wherein The fuzzy controller has multiple fuzzy rules, and the multiple fuzzy rules include: Continuously detect the change amount of the temperature error; If the temperature error exceeds the set error threshold, then set the product of the current power of the electric heating device and 1 + β as the target power, where β is the weighted sum of the temperature error and the error change amount; If the temperature error does not exceed the error threshold and the error change amount is zero or close to zero, then set the power of the electric heating device to remain unchanged; If the temperature error does not exceed the error threshold and the error change amount is also decreasing, then turn off the electric heating device; If the temperature error does not exceed the error threshold and the error change amount is increasing, then set the power of the heating device to 50% of the rated power.

9. The system according to claim 6, characterized in that, The power control module includes: A current acquisition unit for acquiring the operating current of the electric heating device through a current sensor; A current calculation unit for calculating a target current based on the rated voltage of the electric heating device and the target power; A current regulation unit for reducing the operating current of the electric heating device to the target current.

10. The system according to claim 6, characterized in that, The system further includes: A log recording module for writing the temperature collected by the thermocouple and the corresponding target power into the management log.

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