Intelligent temperature control method for bisphenol F type epoxy resin reaction kettle

Abstract

The present application belongs to the field of automatic control technology, and particularly relates to a kind of bisphenol F type epoxy resin reaction kettle temperature intelligent control method, comprising: obtaining the temperature in the kettle, stirring motor frequency and cooling water flow and carrying out denoising processing;Based on the stirring motor frequency after processing and the temperature in the kettle after processing, obtain the dynamic viscosity thermal resistance operator, the degree of heat transfer resistance caused by the viscosity change of material is quantified;Combining target set temperature and dynamic viscosity thermal resistance operator to obtain thermal inertia compensation drive operator;Based on thermal inertia compensation drive operator and static balance power to obtain heating actuator power, the input current of heating actuator is adjusted by mapping, and the cooling water flow is adjusted coordinately.The present application perceives the thermal resistance dynamics in the environment of variable viscosity and carries out feedforward compensation, solves the temperature overshoot problem caused by the large lag of reaction kettle, and improves the stability of reaction process.

Description

Technical Field

[0001] This invention relates to the field of automatic control technology. More specifically, this invention relates to an intelligent temperature control method for a bisphenol F type epoxy resin reactor. Background Technology

[0002] Bisphenol F epoxy resin, as a key polymer material, plays an important role in modern chemical production. Its synthesis mainly involves the condensation reaction of phenol and formaldehyde in an acidic catalyst medium. This chemical reaction pathway exhibits a highly significant and continuous exothermic characteristic, placing stringent requirements on the thermal equilibrium environment inside the reactor. In actual industrial production processes, the thermodynamic evolution within the reactor is an extremely complex dynamic equilibrium process. As the reaction time progresses and the degree of material cross-linking increases, the viscosity of the mixture inside the reactor exhibits a significant nonlinear growth trend. This rapid increase in viscosity not only directly alters the physical thickness of the heat transfer boundary layer on the inner wall of the reactor but also disrupts the balance between fluid shear force and heat conduction efficiency, significantly increasing the resistance to heat transfer from the reaction center to the cooling circulation system.

[0003] Currently, in related production fields, temperature control schemes for reactor equipment generally rely on preset temperature gradient settings or conventional linear feedback adjustment mechanisms. However, due to the strong thermal inertia and large hysteresis characteristics of the bisphenol F epoxy resin synthesis reaction, when the reaction enters the violent exothermic stage, the decrease in heat transfer efficiency caused by the surge in material viscosity exhibits significant time-varying and uncertainties. Traditional control models often assume a fixed heat transfer coefficient, making it difficult to perceive the dynamic fluctuations in thermal resistance caused by the evolution of material physical properties in real time. This results in adjustment commands often lagging behind the actual temperature rise trend. When the temperature inside the reactor deviates significantly, relying solely on proportional-integral (PI) adjustment can easily induce temperature overshoot, and even under extreme conditions, cause the rate of heat accumulation to far exceed the rate of cooling removal, leading to a serious risk of runaway temperature.

[0004] Furthermore, due to the enormous heat storage capacity of the reactor, any power adjustment to the heating actuator requires a lengthy physical conduction process before being fed back to the sensor. In such a highly inertial system, the lack of a feedforward prediction and compensation mechanism for future temperature rise trends can lead to prolonged low-frequency oscillations in the reactor temperature near the target set temperature. This instability in the temperature field directly interferes with the rate constant distribution of the chemical reaction, causing an imbalance in the molecular weight distribution of the product. Consequently, it weakens the mechanical properties and chemical stability of bisphenol F epoxy resin, making it difficult to meet the high standards of material consistency required in precision manufacturing scenarios. Summary of the Invention

[0005] To address the technical problems of dynamic fluctuations in thermal resistance caused by a sharp increase in material viscosity during the synthesis of bisphenol F epoxy resin, and temperature overshoot and control instability caused by the large inertial hysteresis of the reactor, this invention provides an intelligent temperature control method for a bisphenol F epoxy resin reactor. The method includes: acquiring and denoising the reactor interior temperature, stirring motor frequency, and cooling water flow rate; acquiring the denoised reactor interior temperature, stirring motor frequency, and cooling water flow rate; acquiring a dynamic viscosity thermal resistance operator based on the denoised stirring motor frequency and reactor interior temperature; acquiring a thermal inertia compensation driving operator based on the target set temperature, the denoised reactor interior temperature, and the dynamic viscosity thermal resistance operator; acquiring the heating actuator power based on the thermal inertia compensation driving operator and the static balance power; adjusting the input current of the heating actuator based on the heating actuator power; and adjusting the cooling water flow rate based on the thermal inertia compensation driving operator.

[0006] This invention assesses the dynamic thermal resistance caused by the viscosity evolution of materials during the reaction of bisphenol F epoxy resin by acquiring the internal temperature of the reactor, the frequency of the stirring motor, and the flow rate of the cooling water and performing feedforward compensation, thereby reducing the temperature overshoot caused by the large hysteresis characteristics of the reactor.

[0007] Preferably, the dynamic viscosity thermal resistance operator satisfies the expression: In the formula, express Real-time dynamic viscosity-thermal resistance operator; Indicates time; express Constant frequency of the stirring motor; express Temperature inside the vessel at any given time; express Temperature inside the vessel at any given time; Indicates the viscosity evolution coefficient; Represents an exponential function with the natural constant as its base; This indicates taking the absolute value.

[0008] This invention obtains a dynamic viscosity thermal resistance operator by performing an exponential calculation on the ratio of the stirring motor frequency to the temperature inside the reactor, and evaluates the degree to which changes in the material state hinder heat transfer efficiency during the synthesis of bisphenol F epoxy resin.

[0009] Preferably, the viscosity evolution coefficient is obtained by: performing a sliding window root mean square evaluation on the load current of the stirring motor, fitting the growth slope of the load current of the stirring motor as the material viscosity increases using the least squares method, normalizing the fitted growth slope, and obtaining the viscosity evolution coefficient.

[0010] This invention adjusts the sensitivity of the influence of stirring intensity changes on the heat transfer resistance assessment results by performing a sliding window root mean square evaluation of the load current of the stirring motor and using the least squares method to fit the growth slope to obtain the viscosity evolution coefficient.

[0011] Preferably, the thermal inertia compensation driving operator satisfies the expression: In the formula, express Momentary thermal inertia compensation driving operator; express Real-time dynamic viscosity-thermal resistance operator; express Temperature inside the vessel at any given time; Indicates the target set temperature; Indicates the sampling time interval; This represents the lag compensation constant; It represents a definite integral.

[0012] This invention combines the dynamic viscosity thermal resistance operator to calculate the integral accumulation of the deviation of the in-vessel temperature from the target set temperature and the rate of temperature change with the sampling time interval to obtain the thermal inertia compensation driving operator, and evaluates and predicts the heat accumulation trend in the reaction process of bisphenol F epoxy resin.

[0013] Preferably, the hysteresis compensation constant is obtained by: applying a step command to the heating actuator during the calibration stage, recording the first-order inertial time from the issuance of the action to the response of the temperature inside the vessel after processing, and using the ratio of the first-order inertial time to the sampling time interval as the hysteresis compensation constant.

[0014] In the calibration phase, this invention records the first-order inertial time of the temperature response inside the vessel after the heating actuator is activated and calculates the ratio with the sampling time interval to obtain the hysteresis compensation constant, thereby clarifying the system's sensing intensity of temperature change trends.

[0015] Preferably, the power of the heating actuator satisfies the expression: In the formula, express The actuator power is constantly being heated; Indicates static equilibrium power; express Momentary thermal inertia compensation driving operator; Represents the mapping gain constant; This represents the hyperbolic tangent function.

[0016] This invention utilizes the hyperbolic tangent function to map the thermal inertia compensation drive operator to obtain the heating actuator power. When the risk of excessive temperature rise is detected, the heat input is reduced to control the thermal balance state inside the bisphenol F epoxy resin reactor.

[0017] Preferably, the mapping gain constant is obtained by: obtaining the maximum rated power of the heating actuator and the maximum physical expected value of the thermal inertia compensation drive operator, and then transforming the ratio of the maximum rated power of the heating actuator to the maximum physical expected value of the thermal inertia compensation drive operator using the natural logarithm to obtain the mapping gain constant.

[0018] This invention obtains the mapping gain constant by performing a natural logarithmic transformation on the ratio of the maximum rated power of the heating actuator to the maximum physical expected value of the thermal inertia compensation drive operator, thereby ensuring the matching of the control logic with the range of the heating actuator.

[0019] Preferably, adjusting the input current of the heating actuator includes: converting the power of the heating actuator into an output signal of the controller, and outputting a pulse width modulation signal with a corresponding duty cycle to the heating actuator through the controller to adjust the input current entering the heating actuator.

[0020] This invention converts the power of the heating actuator into a pulse width modulation signal with a corresponding duty cycle to regulate the input current entering the heating actuator, thereby improving the adjustment accuracy of the heating power of the bisphenol F type epoxy resin reactor.

[0021] Preferably, the reactor temperature, stirring motor frequency, and cooling water flow rate are obtained by: acquiring the reactor temperature through a platinum resistance temperature sensor installed on the reactor device, acquiring the stirring motor frequency through a stirring motor driver, and acquiring the cooling water flow rate from a cooling water circulation system.

[0022] This invention utilizes a platinum resistance temperature sensor, a stirring motor driver, and a cooling water circulation system to acquire multi-dimensional monitoring data, providing data support for the intelligent regulation of the temperature of the bisphenol F epoxy resin reactor.

[0023] Preferably, the noise reduction process includes: using a standard Butterworth low-pass filter to process the temperature inside the vessel, the frequency of the stirring motor, and the flow rate of the cooling water, and using a cutoff frequency setting to eliminate electromagnetic interference generated by the frequency of the stirred motor during variable frequency operation.

[0024] This invention reduces the contamination of observation data by electromagnetic interference generated by the stirring motor during frequency conversion operation by using a standard Butterworth low-pass filter to process sensor data and setting a specific cutoff frequency, thereby improving the accuracy of the control system in obtaining the real environmental parameters inside the bisphenol F epoxy resin reactor.

[0025] The beneficial effects of this invention are as follows:

[0026] This invention evaluates the nonlinear increase in material viscosity during the synthesis of bisphenol F epoxy resin as the degree of polymerization deepens, and its impact on the heat transfer boundary layer, by obtaining a dynamic viscosity-thermal resistance operator. This mechanism directly maps the changes in the physical state within the reactor to thermal resistance parameters, solving the problem of heat transfer model mismatch caused by the inability of traditional PID control to adapt to variable viscosity environments, and reducing temperature control lag or oscillation caused by errors in heat transfer efficiency estimation.

[0027] This invention utilizes a thermal inertia compensation-driven operator to perform weighted calculations on the integral accumulation of temperature deviation and the rate of temperature change, predicting the heat accumulation trend in advance before a significant temperature rise occurs inside the reactor. Through this feedforward predictive logic, the system can respond rapidly in the early stages of exothermic reaction intensification, reducing temperature overshoot caused by the thermal inertia of a large-capacity reactor and ensuring the uniformity of molecular weight distribution of bisphenol F epoxy resin during the isothermal phase.

[0028] This invention combines the active reduction of heating actuator power with the coordinated adjustment of cooling water flow to construct a bidirectional thermal balance control strategy. When the risk of thermal inertia accumulation is identified, the heating power is rapidly reduced through the nonlinear mapping of the hyperbolic tangent function, while the cooling removal amount is increased. This achieves rapid suppression of the reaction exothermic peak and improves the safety and stability of the production process under complex operating conditions. Attached Figure Description

[0029] Figure 1 This schematically illustrates a flowchart of an intelligent temperature control method for a bisphenol F type epoxy resin reactor according to the present invention.

[0030] Figure 2 A schematic diagram illustrating the relationship between stirring motor frequency and dynamic viscosity thermal resistance operator;

[0031] Figure 3 A schematic diagram illustrating the relationship between the internal temperature of the vessel and the response of the thermal inertia compensation driving operator;

[0032] Figure 4 The diagram illustrates the coordinated power control of the thermal inertia compensation drive operator and the heating actuator. Detailed Implementation

[0033] 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, not all, of the embodiments of the present invention. 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.

[0034] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0035] This invention discloses an intelligent temperature control method for a bisphenol F type epoxy resin reactor, referring to... Figure 1 This includes steps S1 to S4:

[0036] S1. Obtain the temperature inside the vessel, the frequency of the stirring motor, and the flow rate of the cooling water, and perform noise reduction processing to obtain the processed temperature inside the vessel, the processed frequency of the stirring motor, and the processed flow rate of the cooling water.

[0037] It should be noted that the synthesis of bisphenol F epoxy resin involves a polycondensation reaction of phenol and formaldehyde under the action of an acidic catalyst. This process has significant exothermic characteristics, and as the degree of cross-linking of materials increases during the reaction, the physical state of the materials inside the reactor will undergo a dramatic nonlinear evolution. If the original physical quantities reflecting the changes in the synthesis environment cannot be accurately and in real time monitored, reliable data support cannot be provided for subsequent thermal resistance sensing and feedforward compensation. Therefore, this invention establishes a thermodynamic data stream reflecting the dynamics inside the reactor by synchronous monitoring using multi-source sensors.

[0038] Specifically, this invention obtains the internal temperature of the reactor using a platinum resistance temperature sensor installed on the reactor device; obtains the frequency of the stirring motor using a stirring motor driver; and obtains the cooling water flow rate from the cooling water circulation system. This invention employs a standard Butterworth low-pass filter to denoise the internal temperature, stirring motor frequency, and cooling water flow rate; and utilizes a cutoff frequency setting to eliminate electromagnetic interference generated by the stirring motor frequency during variable frequency operation.

[0039] S2. Obtain the dynamic viscosity thermal resistance operator based on the processed stirring motor frequency and the processed reactor temperature.

[0040] It should be noted that during the polycondensation stage of bisphenol F epoxy resin, the viscosity of the material increases rapidly with the increase of molecular weight. This leads to a significant increase in the thickness of the heat transfer boundary layer on the inner wall of the reactor, resulting in a decrease in the overall heat exchange efficiency of the reactor and an increase in the degree of heat transfer resistance. Since the stirring motor needs to maintain the set shear rate, the observed value of its stirring motor frequency will fluctuate with the physical changes in the material viscosity. Moreover, the dynamic loss of heat transfer is deeply physically correlated with the current observed value of the reactor temperature and its instantaneous change. This invention uses a dynamic viscosity thermal resistance operator to evaluate the degree of heat transfer resistance caused by changes in the material state in real time.

[0041] Specifically, this invention obtains a dynamic viscosity-thermal resistance operator based on the stirring motor frequency and the temperature inside the vessel. The dynamic viscosity-thermal resistance operator satisfies the following expression:

[0042]

[0043] In the formula, express Real-time dynamic viscosity-thermal resistance operator; Indicates time; express Constant frequency of the stirring motor; express Temperature inside the vessel at any given time; express Temperature inside the vessel at any given time; Indicates the viscosity evolution coefficient; Represents an exponential function with the natural constant as its base; This indicates taking the absolute value.

[0044] In the formula, when the degree of synthesis reaction increases and the viscosity of the material increases, the frequency of the stirring motor required to maintain the shear force is... The decrease in value causes the exponent term in the numerator, after the reciprocal, to increase in value, resulting in a change in the dynamic viscosity thermal resistance operator. The overall value increases; simultaneously, due to the increased instantaneous fluctuation range of the internal temperature during the intense exothermic phase, the multiplicative constraint of the denominator term limits the abnormal growth trend of the thermal resistance value, thus controlling the dynamic viscosity thermal resistance operator. It can accurately assess the degree of heat transfer resistance caused by changes in the state of materials.

[0045] It should be further noted that the viscosity evolution coefficient in this invention... This invention is responsible for adjusting the sensitivity of the mapping between changes in the stirring motor frequency and the degree of heat transfer resistance. It uses a sliding window root mean square (RMS) evaluation of the stirring motor's load current, fits the growth slope of the stirring motor's load current as the material viscosity increases using the least squares method, and normalizes the fitted growth slope to obtain the viscosity evolution coefficient.

[0046] For example, Figure 2 This is a schematic diagram showing the changing trends of stirring motor frequency and dynamic viscosity thermal resistance operator. The diagram shows that as the reaction time progresses, the stirring motor frequency decreases, indicating an increase in the viscosity of the material in the reactor. Correspondingly, the dynamic viscosity thermal resistance operator increases, indicating that the operator can quantify the degree of heat transfer resistance under variable viscosity conditions in real time, providing accurate thermal resistance evaluation parameters for subsequent temperature compensation.

[0047] S3. Obtain the thermal inertia compensation driving operator based on the target set temperature, the processed in-vessel temperature, and the dynamic viscosity thermal resistance operator.

[0048] It should be noted that, as a typical large-capacity heat storage system, the reactor device exhibits a significant time lag between the adjustment of heat input by the heating actuator and the detection of changes in the observed temperature inside the reactor by the sensor. If the adjustment is solely based on deviation, it will lead to severe temperature rise overshoot. Based on the dynamic viscosity thermal resistance operator's detection of the decrease in heat transfer efficiency, this invention introduces the cumulative deviation of the observed temperature inside the reactor from the target set temperature and the current heating rate to obtain a thermal inertia compensation driving operator that can predict the heat accumulation trend in advance and implement feedforward compensation.

[0049] Specifically, the present invention utilizes the target set temperature, the in-vessel temperature, and the dynamic viscosity thermal resistance operator to obtain the thermal inertia compensation driving operator.

[0050] The thermal inertia compensation driving operator satisfies the following expression:

[0051]

[0052] In the formula, express Momentary thermal inertia compensation driving operator; express Real-time dynamic viscosity-thermal resistance operator; express Temperature inside the vessel at any given time; Indicates the target set temperature; Indicates the sampling time interval; This represents the lag compensation constant; It represents a definite integral.

[0053] In the formula, when the heating rate inside the reactor increases, the value of the differential term within the parentheses on the right side of the expression increases, leading to a change in the thermal inertia compensation drive operator. The value increases; simultaneously, due to the increase in the integral accumulation caused by the temperature inside the vessel deviating from the target set temperature, the dynamic viscosity thermal resistance operator... Under the coupling effect, the thermal inertia compensation driving operator is further affected. Significant changes occur, allowing for early prediction of heat accumulation trends and driving subsequent feedforward adjustments.

[0054] It should be further noted that the hysteresis compensation constant in this invention... This invention is responsible for defining the sensitivity of the reactor to temperature change trends. During the calibration phase, a step command is applied to the heating actuator, and the first-order inertial time from the issuance of the action to the temperature response inside the reactor is recorded. The ratio of this first-order inertial time to the sampling time interval is used as the hysteresis compensation constant.

[0055] For example, Figure 3This is a schematic diagram of the response of the reactor internal temperature and the thermal inertia compensation driving operator. The diagram shows that when the reactor internal temperature deviates from the target set temperature due to the exothermic reaction, the thermal inertia compensation driving operator responds rapidly and increases significantly. This trend indicates that the driving operator, which combines the integral cumulative amount and the differential rate of change, can keenly capture the cumulative trend of thermal inertia and generate a strong compensation signal before the temperature becomes significantly out of control.

[0056] S4. Obtain the power of the heating actuator based on the thermal inertia compensation drive operator and the static balance power, adjust the input current of the heating actuator based on the power of the heating actuator, and adjust the cooling water flow rate based on the thermal inertia compensation drive operator.

[0057] It should be noted that in order to transform the abstract thermodynamic sensing operator into the physical action of the actuator, a mapping mechanism that can balance control accuracy and operational stability must be established. This invention utilizes a nonlinear function with saturation characteristics to adjust the calculated power value of the heating actuator in real time according to the strength of the thermal inertia compensation drive operator. When the increased material viscosity is sensed, which leads to a decrease in heat conduction efficiency, the heat input is precisely reduced and the heat removal capability is simultaneously enhanced to ensure that the observed temperature value inside the vessel can converge smoothly and quickly to the target set temperature value.

[0058] Specifically, the present invention obtains the power of the heating actuator based on the thermal inertia compensation driving operator and the static balance power.

[0059] The power of the heating actuator satisfies the expression:

[0060]

[0061] In the formula, express The actuator power is constantly being heated; Indicates static equilibrium power; express Momentary thermal inertia compensation driving operator; Represents the mapping gain constant; This represents the hyperbolic tangent function.

[0062] In the formula, when the system detects the risk of excessively rapid temperature rise, the thermal inertia compensation driving operator is activated. When the value increases, the independent variable of the hyperbolic tangent function increases, causing the result of the subtraction structure within the parentheses to decrease, resulting in a decrease in the power of the heating actuator. The temperature drops; this logic uses nonlinear mapping to ensure that heat input can be quickly reduced when thermal inertia deviates significantly, thus achieving closed-loop control of the thermal balance state within the reactor.

[0063] It should be further added that the mapping gain constant in this invention This invention is responsible for ensuring the matching of the control operator's range with that of the heating actuator. It obtains the maximum rated power of the heating actuator and the maximum physical expected value of the thermal inertia compensation drive operator. The ratio of this ratio to the maximum rated power of the heating actuator to the maximum physical expected value of the thermal inertia compensation drive operator is transformed using the natural logarithm to obtain the mapping gain constant. .

[0064] Furthermore, the present invention converts the obtained heating actuator power into a corresponding pulse width modulation signal to adjust the input current of the heating actuator; simultaneously, it uses a thermal inertia compensation drive operator. The numerical synergy increases the cooling water flow rate of the cooling water circulation system. By reducing the heat input and dynamically enhancing the heat removal capacity, the stability control of the controlled object in a bisphenol F type epoxy resin reactor temperature intelligent control method is achieved.

[0065] For example, Figure 4 This diagram illustrates the coordinated control of the thermal inertia compensation drive operator and the heating actuator power. It shows that during the phase where the thermal inertia compensation drive operator value increases, the heating actuator power is rapidly reduced to a low level through the mapping of the hyperbolic tangent function. This reverse control logic demonstrates that when the system detects a risk of heat accumulation, it can proactively cut off the heat input, effectively suppressing temperature overshoot that might be caused by the large hysteresis characteristics of the reactor using a feedforward compensation mechanism.

Claims

1. A method for intelligent temperature control of a bisphenol F type epoxy resin reactor, characterized in that, include: The reactor internal temperature, stirring motor frequency, and cooling water flow rate are obtained and noise reduction is performed to obtain the reactor internal temperature, stirring motor frequency, and cooling water flow rate after processing. The dynamic viscosity thermal resistance operator is obtained based on the processed stirring motor frequency and the processed reactor temperature. The thermal inertia compensation driving operator is obtained based on the target set temperature, the temperature inside the reactor after processing, and the dynamic viscosity thermal resistance operator. The power of the heating actuator is obtained based on the thermal inertia compensation driving operator and the static balance power. The input current of the heating actuator is adjusted based on the power of the heating actuator, and the cooling water flow rate is adjusted based on the thermal inertia compensation driving operator. The dynamic viscosity thermal resistance operator satisfies the following expression: ; express Real-time dynamic viscosity-thermal resistance operator; Indicates time; express Constant frequency of the stirring motor; express Temperature inside the vessel at any given time; express Temperature inside the vessel at any given time; Indicates the viscosity evolution coefficient; Represents an exponential function with the natural constant as its base; Indicates taking the absolute value; The viscosity evolution coefficient is obtained by performing a sliding window root mean square evaluation on the load current of the stirring motor, fitting the growth slope of the load current of the stirring motor with the increase of material viscosity using the least squares method, normalizing the fitted growth slope, and obtaining the viscosity evolution coefficient. The thermal inertia compensation driving operator satisfies the following expression: ; express Momentary thermal inertia compensation driving operator; Indicates the target set temperature; Indicates the sampling time interval; This represents the lag compensation constant; Represent the definite integral; The hysteresis compensation constant is obtained by applying a step command to the heating actuator during the calibration phase, recording the first-order inertial time from the issuance of the action to the response of the temperature inside the vessel after processing, and using the ratio of the first-order inertial time to the sampling time interval as the hysteresis compensation constant. The power of the heating actuator satisfies the expression: ; express The actuator power is constantly being heated; Indicates static equilibrium power; Represents the mapping gain constant; Represents the hyperbolic tangent function; The mapping gain constant is obtained by: obtaining the maximum rated power of the heating actuator and the maximum physical expectation value of the thermal inertia compensation drive operator, and then transforming the ratio of the maximum rated power of the heating actuator to the maximum physical expectation value of the thermal inertia compensation drive operator using the natural logarithm to obtain the mapping gain constant.

2. The intelligent temperature control method for a bisphenol F type epoxy resin reactor according to claim 1, characterized in that, The adjustment of the input current of the heating actuator includes: The power of the heating actuator is converted into an output signal of the controller. The controller then outputs a pulse width modulation signal with a corresponding duty cycle to the heating actuator to regulate the input current entering the heating actuator.

3. The intelligent temperature control method for a bisphenol F type epoxy resin reactor according to claim 1, characterized in that, The internal temperature of the vessel, the frequency of the stirring motor, and the flow rate of the cooling water include: The temperature inside the reactor is obtained by a platinum resistance temperature sensor installed on the reactor device, the frequency of the stirring motor is obtained by the stirring motor driver, and the flow rate of cooling water is obtained from the cooling water circulation system.

4. The intelligent temperature control method for a bisphenol F type epoxy resin reactor according to claim 1, characterized in that, The noise reduction process includes: A standard Butterworth low-pass filter is used to process the temperature inside the vessel, the frequency of the stirring motor, and the flow rate of the cooling water. The cutoff frequency setting is used to eliminate the electromagnetic interference generated by the frequency of the stirring motor during variable frequency operation.

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