Crude oil electric heating furnace control system and crude oil electric heating furnace

Abstract

The invention belongs to the technical field of crude oil electric heating furnaces, and relates to a crude oil electric heating furnace control system and a crude oil electric heating furnace. Temperature feature vectors of multiple independent heating sections are collected, a dynamic weight matrix used for representing the thermal inertia unbalance degree is generated, and temperature control compensation gains are generated through real-time analysis in combination with crude oil viscosity-temperature data; performing adaptive adjustment by combining corresponding element values of the dynamic weight matrix to output a segmented power regulation instruction, preferentially calling redundant power of the main and auxiliary coils for cooperative heating, starting adjacent segment compensation heating when the main and auxiliary power is insufficient, and setting heat balance constraint and deviation monitoring termination conditions at the same time; local over-coking is avoided while the power resource utilization rate of the crude oil electric heating furnace is remarkably improved, the viscosity is rapidly converged to a steady-state range through closed-loop feedback of viscosity data after heating and iterative optimization of a regulation instruction, and the stability of long-term operation of the system and the achievement speed of a control target are remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of crude oil electric heating furnaces, and relates to a control system for a crude oil electric heating furnace and a crude oil electric heating furnace. Background Art

[0002] Crude oil electric heating furnaces maintain the fluidity of crude oil by heating with resistance coils. With the advantages of simple structure and high thermal efficiency, they are widely used in the field of heavy oil exploitation and transportation. However, with the large-scale and intelligent development of oil and gas fields, the differences in crude oil physical properties and complex working conditions pose higher requirements for the temperature control accuracy, energy efficiency, and operation stability of heating furnaces. Conducting research and development on the control system of crude oil electric heating furnaces is of great significance for improving the reliability of gathering and transportation and promoting the intelligent upgrading of equipment.

[0003] In the prior art, there are also some solutions related to the control of crude oil electric heating furnaces. For example, an automatic control system for a heating furnace with the Chinese patent publication number CN201126265Y has its main gas valve connected to a main flame burner through a solenoid valve and a main flame regulating valve in sequence. The electronic igniter is electrically connected to the solenoid valve and the main flame burner. It not only has the functions of temperature control and flameout protection for the heating furnace, but also can perform electronic ignition on the heating furnace, and its operation is very convenient, and the ignition is safe and reliable.

[0004] Another Chinese patent with the publication number CN210135689U is an oilfield electric heating vacuum phase change heating furnace. Through the settings of a furnace body, electric heating tubes, crude oil heating coils, and multiple groups of temperature and pressure monitoring mechanisms and an automatic control device, it can monitor the liquid level, the temperatures at the inlet and outlet of the furnace body and the coils in real time, adjust the power according to the temperature difference, and monitor and alarm for abnormal pressure. It has a high degree of automation.

[0005] Although the above two solutions propose solutions for the control of crude oil electric heating furnaces, there are still certain limitations: 1. The existing control technology for crude oil electric heating furnaces relies on single-point or local temperature monitoring, and cannot timely capture the situation where the temperature gradient in the heating furnace is significant and the heat flow direction is out of control, which is likely to cause local overheating and coking or underheating and viscosity.

[0006] 2. The existing control of crude oil electric heating furnaces relies on fixed parameters, has a lag in response to the non-linear change of crude oil viscosity with temperature, and the compensation gain lacks dynamic adaptability, resulting in the accumulation of deviations between temperature control instructions and actual requirements. In addition, the power distribution relies on the single adjustment of the main coil, and the redundant capacity is not fully utilized. It is impossible to flexibly call adjacent heating sections for compensation heating based on the viscosity improvement rate and heat balance constraints, further exacerbating energy efficiency waste and insufficient stability. Summary of the Invention

[0007] In view of this, in order to solve the problems raised in the above background art, a control system for a crude oil electric heating furnace and a crude oil electric heating furnace are proposed.

[0008] The object of the present invention can be achieved by the following technical solutions: In the first aspect of the present invention, a control system for an electric heating furnace for crude oil is provided, including: a data acquisition module, a temperature control compensation module, a power distribution module, and a closed-loop calibration module.

[0009] The data acquisition module is connected to the temperature control compensation, the temperature control compensation module is connected to the power distribution module, and the power distribution module is connected to the closed-loop calibration module.

[0010] The data acquisition module collects the temperature feature vectors of multiple independent heating sections divided three-dimensionally in the heating furnace in real time and generates a dynamic weight matrix.

[0011] The temperature control compensation module synchronously receives the viscosity-temperature combined data of the crude oil in the independent heating section, generates a temperature control compensation gain based on the analysis of the characteristics of the change of crude oil viscosity with temperature, and outputs a segmented power regulation instruction in combination with the dynamic weight matrix.

[0012] The power distribution module triggers the cooperative heating logic of multiple-stage coils according to the segmented power regulation instruction, and determines whether to start the compensation heating of adjacent heating sections based on power redundancy and viscosity improvement.

[0013] The closed-loop calibration module obtains the crude oil viscosity data after the heating control of the independent heating section, corrects the segmented power regulation instruction through closed-loop feedback, and outputs a steady-state crude oil result.

[0014] In the second aspect of the present invention, an electric heating furnace for crude oil is provided, including the control system for an electric heating furnace for crude oil described in the first aspect of the present invention, wherein each module of the system is implemented by the processor of the electric heating furnace for crude oil executing the corresponding program.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) By collecting the temperature feature vectors of the independent heating sections with three-dimensional distribution, combining the annular topological layout and spatial interpolation processing of the thermocouple group, the present invention constructs a three-dimensional temperature field, which helps to more comprehensively and accurately reflect the temperature distribution in the heating furnace and provides a reliable data basis for the subsequent control of the electric heating furnace for crude oil.

[0016] (2) The present invention quantifies the degree of thermal inertia imbalance through a dynamic weight matrix, generates a temperature control compensation gain by combining the real-time analysis of crude oil viscosity-temperature data, corrects the weight value through fuzzy similarity matching and historical control effects, dynamically adapts to the non-linear change of crude oil viscosity with temperature, and optimizes the real-time performance and accuracy of power distribution.

[0017] (3) The present invention proposes a cooperative heating strategy for the main and auxiliary coils, preferentially utilizes the redundant power capacity, starts the compensation heating of adjacent heating sections when the main and auxiliary powers are insufficient, and at the same time sets the thermal balance constraint and the deviation monitoring termination condition, which significantly improves the utilization rate of the power resources of the electric heating furnace for crude oil, avoids local overload, and ensures the stable and efficient heating process.

[0018] (4) Through the feedback of the viscosity data of the crude oil after heating, the present invention dynamically adjusts the weight matrix in combination with the proportional-integral correction algorithm, and iteratively optimizes the segmented power control instruction, so that the viscosity data quickly converges to the preset steady-state range, significantly improving the long-term operation stability of the system and the achievement speed of the control target. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0020] Figure 1 It is a schematic diagram of the module connection of the system of the present invention.

[0021] Figure 2 It is a logical schematic diagram of the temperature feature vector acquisition process in the data acquisition module of the system of the present invention.

[0022] Figure 3 It is a logical schematic diagram of the cooperative heating of multiple-stage coils in the power distribution module of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of the present technology can make various modifications or supplements to the described specific embodiments or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined by the claims of the present invention, they should all fall within the protection scope of the present invention.

[0024] Please refer to Figure 1 As shown, the object of the present invention can be achieved through the following technical solutions: The first aspect of the present invention provides a control system for an electric heating furnace for crude oil, including: a data acquisition module, a temperature control compensation module, a power distribution module, and a closed-loop calibration module.

[0025] The data acquisition module is connected to the temperature control compensation, the temperature control compensation module is connected to the power distribution module, and the power distribution module is connected to the closed-loop calibration module.

[0026] The data acquisition module collects the temperature feature vectors of multiple independent heating sections divided by the three-dimensional heating furnace in real time and generates a dynamic weight matrix.

[0027] Please refer to Figure 2As shown in the figure, in a preferred embodiment of the present invention, the acquisition process of the temperature feature vector includes: S1. Embedding a multi-stage thermocouple group into the furnace wall according to a ring topology structure, and each thermocouple group correspondingly covers an independent heating section.

[0028] S2. Synchronize the temperature data of the multi-stage thermocouple group in time and perform zero-point calibration periodically to eliminate the sensor drift error.

[0029] S3. Perform spatial interpolation processing on the temperature data of multiple thermocouple nodes in the same independent heating section, construct a three-dimensional temperature field, calculate the radial temperature difference change rate and the axial temperature difference change rate in the sliding space window of the three-dimensional temperature field, and generate the temperature gradient intensity of the independent heating section.

[0030] It should be noted that the radial temperature difference change rate of the three-dimensional temperature field in the sliding space window is defined as the temperature change rate per unit distance in the radial direction in the sliding space window, where the radial direction specifically refers to the direction extending from the center of the independent heating section to the periphery. The specific calculation process of the radial temperature difference change rate is as follows: Select multiple radial paths in the sliding space window, obtain the temperature differences between adjacent thermocouple nodes on each radial path, and take the ratio of the temperature difference between adjacent thermocouple nodes to the radial distance between the two nodes as the local radial temperature difference change rate. In this way, statistically calculate all the local radial temperature difference change rates on each radial path in the sliding space window, and obtain the radial temperature difference change rate of the three-dimensional temperature field in the sliding space window through double mean calculation.

[0031] The axial temperature difference change rate is defined as the temperature change rate per unit distance in the axial direction in the sliding space window, where the axial direction specifically refers to the direction parallel to the length or height of the crude oil electric heating furnace. The specific calculation process of the axial temperature difference change rate is as follows: Select an axial section in the sliding space window, obtain the temperature difference between adjacent section layers, and take the ratio of it to the interlayer axial distance as the local axial temperature difference change rate. Calculate the mean value of the local axial temperature difference change rates of all axial sections in the sliding space window to obtain the axial temperature difference change rate of the three-dimensional temperature field in the sliding space window.

[0032] It should also be noted that the above-mentioned sliding space window usually adopts a cube or cylinder structure, and its geometric parameters and moving step size are preset based on the standard design parameters of the crude oil electric heating furnace at the initial stage of system development, and the entire independent heating section is covered and traversed by moving at a fixed step size.

[0033] S4. Real-time obtain the average temperature value of the thermocouple group corresponding to each independent heating section, calculate the instantaneous change rate of the temperature difference between adjacent heating sections in the sliding time window, and generate the heat flow direction coefficient and instability score based on time-domain trend analysis.

[0034] It should be noted that the instantaneous change rate of the temperature difference between adjacent heating sections within the sliding time window is obtained by substituting the average temperature difference of the corresponding thermocouple groups of adjacent heating sections at each unit time point within the sliding time window into the first-order difference formula in sequence. Taking the independent heating sections A and B as an example of adjacent heating sections, if the instantaneous change rate of the temperature difference between adjacent heating sections AB at a certain unit time point within the sliding time window is greater than 0, it indicates that the temperature of section A is continuously rising relative to section B, and heat is aggregating towards section A. Conversely, if it is less than 0, it indicates that the temperature of section B is rising relative to section A, and the direction of heat flow is reversed.

[0035] The process of obtaining the heat flow direction coefficient includes: sorting out the sequence of the instantaneous change rate of the temperature difference between adjacent heating sections within the sliding time window, and obtaining the slope value of the sequence through linear fitting. Continuing the above example of adjacent heating sections AB, if the slope value is greater than 0, it indicates that heat is continuously flowing towards section A, and the logical label value of the heat flow direction coefficient is assigned as 1. Conversely, if the slope value is less than 0, it indicates that heat is continuously flowing towards section B, and the logical label value of the heat flow direction coefficient is assigned as -1. The absolute value of the slope value of the sequence is normalized according to the preset allowable slope threshold, and the product of the normalized value and the logical label value of the heat flow direction coefficient is used as the heat flow direction coefficient.

[0036] The process of obtaining the instability score includes: calculating the variance value and the extreme difference value within the sequence of the instantaneous change rate of the temperature difference between adjacent heating sections within the sliding time window, performing a fast Fourier transform on the sequence of the instantaneous change rate of the temperature difference to obtain the amplitude ratio of the high-frequency fluctuation components, normalizing the variance value, the extreme difference value, and the amplitude ratio of the high-frequency fluctuation components respectively, and performing weighted fusion based on the preset weight distribution strategy to obtain the instability score. The preset weight distribution strategy is specifically manifested as variance value > extreme difference value > amplitude ratio of high-frequency fluctuation components, and can be exemplified as: 0.5, 0.3, 0.2.

[0037] S5. Combine the temperature gradient intensity, the heat flow direction coefficient, and the instability score into a temperature feature vector.

[0038] In a preferred embodiment of the present invention, the following steps are performed on the temperature feature vector to generate a dynamic weight matrix: (a) Perform fuzzy similarity matching between the temperature feature vectors of each independent heating section and the preset heat flow distribution pattern library, and select the heat flow distribution pattern with the highest similarity as the reference pattern.

[0039] It should be noted that the above preset heat flow distribution pattern library is a pre-defined set of heat flow distribution scenarios. Each pattern contains the corresponding standardized numerical intervals of the temperature gradient intensity, the heat flow direction coefficient, and the instability score, and each pattern is associated with its corresponding initial weight value, which is mainly set based on simulation or historical optimal control data.

[0040] The above-mentioned fuzzy similarity matching process includes: defining corresponding fuzzy membership functions for each eigenvalue in the temperature feature vector, using the Euclidean distance formula to quantify the membership degree of each eigenvalue to a certain pattern, and calculating the mean value to obtain the fuzzy similarity between the temperature feature vector and the pattern. The fuzzy membership function can be a triangular function or a Gaussian function.

[0041] (b) Extract the initial weight value of the reference pattern, and combine the pattern confidence score in the historical control effect feedback data to correct the initial weight value through weighted operation.

[0042] It should be noted that the above-mentioned initial weight value correction process includes: comparing the pattern confidence score with a preset reasonable pattern confidence score threshold, taking the difference between the two and performing cumulative operations with a correction coefficient for controlling the adjustment amplitude and the initial weight value. The result of the cumulative operation is the corrected weight part, which is superimposed on the initial weight value to achieve correction.

[0043] (c) Perform linear proportional scaling on the corrected weight value and map it to a preset numerical interval to generate a dynamic weight matrix.

[0044] In a preferred embodiment of the present invention, the element value of the dynamic weight matrix is used to characterize the degree of thermal inertia imbalance of the corresponding independent heating section. If the element value is greater than or equal to the first preset threshold, it is determined as a thermal inertia overload state and power compensation is triggered. If it is less than or equal to the second preset threshold, it is determined as a thermal inertia underload state and power suppression is triggered. If it is between the first and second preset thresholds, the current power input is maintained.

[0045] In this embodiment, through the acquisition of the temperature feature vector of the three-dimensional distributed independent heating section, combined with the circular topological layout and spatial interpolation processing of the thermocouple group, a three-dimensional temperature field is constructed to help more comprehensively and accurately reflect the temperature distribution in the heating furnace, providing a reliable data basis for the subsequent control of the crude oil electric heating furnace.

[0046] The temperature control compensation module synchronously receives the viscosity-temperature combined data of the crude oil in the independent heating section, generates a temperature control compensation gain based on the analysis of the characteristics of the change of crude oil viscosity with temperature, and outputs a segmented power control command in combination with the dynamic weight matrix.

[0047] In a preferred embodiment of the present invention, the generation logic of the temperature control compensation gain includes: integrating the viscosity-temperature combined data in the order of reception time to obtain a viscosity-temperature fitting curve.

[0048] Retrieve the temperature domain centered on the current temperature value of the independent heating section, and based on the preset standard mapping relationship between crude oil viscosity and temperature, obtain the relative viscosity deviation ratio of each temperature value point in the temperature domain.

[0049] It should be noted that the specific calculation process of the above relative viscosity deviation ratio is: subtract the monitored viscosity value corresponding to the temperature value point synchronously from the preset standard mapping viscosity value corresponding to the temperature value, and further compare the difference with the preset standard mapping viscosity value corresponding to the temperature value.

[0050] The relative viscosity deviation ratio is weighted and fused according to the preset weight rule to obtain the dynamic compensation factor in the temperature domain. .

[0051] It should be noted that the above-mentioned preset weight rule is that the weight of each temperature value point in the temperature domain is inversely proportional to its distance from the center temperature value, that is: the closer to the center temperature value point, the greater the weight, the farther from the center temperature value point, the smaller the weight, the center temperature value point has the largest weight, and the sum of the weights of all temperature value points is strictly equal to 1. The specific distribution weight can be calculated by applying the attenuation exponential function.

[0052] Substituting the dynamic compensation factor into the formula Get the temperature control compensation gain, where The pre-calibrated unit temperature deviation corresponds to the reference compensation power. They are the preset proportional coefficient and integral coefficient respectively.

[0053] It should be noted that the above temperature control compensation gain calculation formula structure can be specifically decomposed into: proportional term , integral term and the reference gain term , where the proportional term is used to quickly generate the compensation gain according to the real-time value of the current dynamic compensation factor, the integral term is used to accumulate historical compensation requirements and eliminate steady-state errors, and the reference gain term is used to map the output of the proportional and integral terms to the actual unit temperature deviation corresponding to the compensation power unit to ensure that the compensation gain matches the actual heating demand. It is based on the trial and error method and is iteratively optimized with the goals of fast response without significant overshoot, elimination of steady-state error and non-saturation of integral.

[0054] In a preferred embodiment of the present invention, the segmented power control instruction output process includes: obtaining the curvature value of the current temperature value of the independent heating section on the viscosity-temperature fitting curve.

[0055] The deviation value between the current viscosity value of the crude oil in the independent heating section and the preset steady-state flow benchmark viscosity range of the crude oil is obtained, and the ratio of the current viscosity value to the curvature value is further used as the control temperature value.

[0056] The product of the control temperature value and the temperature compensation gain is used as the basic control power. The independent heating sections are combined with the corresponding element values of the dynamic weight matrix to perform adaptive adjustment on the basic control power to determine the final control power and control direction, so as to output the segmented power control instructions.

[0057] It should be noted that the above adaptive adjustment execution process is as follows: If the basic regulation power is greater than 0, it is determined that the regulation direction is power increase, and the overshoot ratio of the corresponding element value of the independent heating section in the dynamic weight matrix relative to the first preset threshold is obtained , and the ratio of the basic regulation power to the current heating power of the independent heating section . If , the original basic regulation power is maintained. If , then with as the upper limit, the product of the current heating power of the independent heating section and is used as the value of the basic regulation power

[0058] Similarly, if the basic regulation power is less than 0, it is determined that the regulation direction is power decrease, and the absolute deviation ratio of the corresponding element value of the independent heating section in the dynamic weight matrix relative to the second preset threshold and the ratio of the basic regulation power to the current heating power of the independent heating section are obtained, and the double ratio is compared to realize the adaptive adjustment of the basic regulation power

[0059] In the embodiment of the present invention, the degree of thermal inertia imbalance is quantified by a dynamic weight matrix, and a temperature control compensation gain is generated by combining real-time analysis of crude oil viscosity-temperature data. The weight value is corrected through fuzzy similarity matching and historical control effects, dynamically adapting to the non-linear change of crude oil viscosity with temperature, and optimizing the real-time performance and accuracy of power distribution

[0060] The power distribution module triggers a multi-stage coil cooperative heating logic according to the segmented power regulation instruction, and determines whether to start the compensation heating of the adjacent heating section based on power redundancy and viscosity improvement

[0061] Please refer to Figure 3 shown. In a preferred embodiment of the present invention, the multi-stage coil cooperative heating logic includes: detecting the current power and redundant power capacity of the main coil and the auxiliary coil based on the regulation power value and regulation direction in the segmented power regulation instruction of the independent heating section

[0062] When the regulation direction is power increase, the redundant power capacity of the main coil is preferentially allocated to execute power increase. If the redundant power capacity of the main coil is insufficient, the redundant power capacity of the auxiliary coil is superimposed

[0063] When the regulation direction is power decrease, the current power output of the auxiliary coil is preferentially reduced. If the power of the auxiliary coil still needs to be reduced after it drops to zero, the current power output of the main coil is reduced

[0064] In a preferred embodiment of the present invention, the determination process for starting the compensating heating of adjacent heating sections is as follows: when the regulation direction is to increase the power, if the superimposed redundant power capacity of the main and auxiliary coils is insufficient, or the improvement rate of the crude oil viscosity in the independent heating section does not reach the preset standard within the preset duration, it is determined to start the compensating heating of the adjacent heating section.

[0065] The adjacent heating section calculates the remaining power carrying capacity of the main and auxiliary coils based on its segmented power regulation command. And based on the thermal balance constraint, determine the upper limit of the compensating power for the adjacent heating section, and call it in the order of priority of the main and auxiliary.

[0066] It should be noted that the determination of the upper limit of the compensating power for the adjacent heating section based on the thermal balance constraint can be exemplarily transformed into a formula where is transformed from Fourier's law which follows the relationship between power, temperature difference, material heat conduction characteristics and geometric parameters in thermodynamics. is the preset allowable temperature difference threshold between adjacent heating sections. is the equivalent heat conduction coefficient integrating the heat transfer area and heat transfer path length of the adjacent heating section. The specific numerical calculation process is: multiply the preset standard heat conduction coefficient between adjacent heating sections by the heat transfer area of the adjacent heating section, and further divide the product by the heat transfer path length.

[0067] During the call, the internal temperature change of the adjacent heating section is monitored in real time. If it is monitored that its temperature value exceeds the preset allowable deviation compared with the expected value of the segmented power regulation command, the compensating heating is terminated.

[0068] The embodiment of the present invention proposes a collaborative heating strategy for the main and auxiliary coils, which preferentially utilizes the redundant power capacity, starts the compensating heating of the adjacent heating section when the main and auxiliary powers are insufficient, and at the same time sets the thermal balance constraint and the deviation monitoring termination condition, significantly improving the utilization rate of the power resources of the crude oil electric heating furnace, avoiding local overload, and ensuring the stable and efficient heating process.

[0069] The closed-loop calibration module obtains the crude oil viscosity data after the heating control of the independent heating section, corrects the segmented power regulation command through closed-loop feedback, and outputs the steady-state crude oil result.

[0070] In a preferred embodiment of the present invention, the closed-loop feedback correction process of the segmented power regulation command includes: obtaining the deviation between the crude oil viscosity data after the heating control and its target viscosity data.

[0071] Dynamically adjust the element values of the weight matrix based on the proportional-integral correction algorithm, and recalculate the segmented power regulation command according to the corrected element values of the weight matrix and the viscosity deviation.

[0072] Through iterative optimization, the crude oil viscosity data converges to the preset steady-state range.

[0073] In the embodiment of the present invention, through the feedback of the viscosity data of the crude oil after heating, combined with the proportional-integral correction algorithm, the weight matrix is dynamically adjusted, and the segmented power control instruction is iteratively optimized, so that the viscosity data quickly converges to the preset steady-state range, significantly improving the stability of the long-term operation of the system and the achievement speed of the control target.

[0074] The second aspect of the present invention provides a crude oil electric heating furnace, including a control system for a crude oil electric heating furnace described in the first aspect of the present invention, wherein each module of the system is implemented by the processor of the crude oil electric heating furnace executing the corresponding program.

[0075] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to obtain a formula that is closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0076] The above embodiments can be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0077] Those of ordinary skill in the art can realize that the modules and algorithm steps of each example described in combination with the embodiments disclosed in this article can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0078] In addition, in each embodiment of the present application, the functional modules can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0079] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0080] Finally, the above is only the preferred embodiment of the present invention and is not used to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An electric heating furnace control system for crude oil, characterized in that, Including: A data acquisition module that collects temperature feature vectors of multiple independent heating sections obtained from the three-dimensional division of a heating furnace in real time and generates a dynamic weight matrix; A temperature control compensation module that synchronously receives the viscosity-temperature combination data of the crude oil in the independent heating section, generates a temperature control compensation gain based on the analysis of the characteristics of the change in crude oil viscosity with temperature, and outputs a segmented power regulation instruction in combination with the dynamic weight matrix; A power distribution module that triggers a multi-stage coil collaborative heating logic according to the segmented power regulation instruction and determines whether to start the compensation heating of adjacent heating sections based on power redundancy and viscosity improvement; A closed-loop calibration module that obtains the crude oil viscosity data after the heating control of the independent heating section, corrects the segmented power regulation instruction through closed-loop feedback, and outputs a steady-state crude oil result.

2. The control system of an electric heating furnace for crude oil according to claim 1, wherein: The acquisition process of the temperature feature vector includes: S1. Embedding a multi-stage thermocouple group into the heating furnace wall according to a ring topology structure, and each thermocouple group correspondingly covers an independent heating section; S2. Synchronize and align the temperature data of the multi-stage thermocouple group in time, and periodically perform zero-point calibration to eliminate the sensor drift error; S3. Perform spatial interpolation processing on the temperature data of multiple thermocouple nodes in the same independent heating section to construct a three-dimensional temperature field, calculate the radial temperature difference change rate and the axial temperature difference change rate of the three-dimensional temperature field within a sliding spatial window, and generate the temperature gradient intensity of the independent heating section; S4. Obtain the average temperature value of the thermocouple group corresponding to each independent heating section in real time, calculate the instantaneous temperature difference change rate between adjacent heating sections within a sliding time window, and generate a heat flow direction coefficient and an instability score based on time-domain trend analysis; S5. Combine the temperature gradient intensity, the heat flow direction coefficient, and the instability score into a temperature feature vector.

3. The control system of an electric heating furnace for crude oil according to claim 1, characterized in that: The temperature feature vector generates a dynamic weight matrix by performing the following steps: (a) Perform fuzzy similarity matching between the temperature feature vectors of each independent heating section and a preset heat flow distribution pattern library, and select the heat flow distribution pattern with the highest similarity as the reference pattern; (b) Extract the initial weight value of the reference pattern, and combine the pattern confidence score in the historical control effect feedback data to correct the initial weight value through weighted operation; (c) Perform linear proportional scaling on the corrected weight value and map it to a preset numerical interval to generate a dynamic weight matrix.

4. The control system of an electric heating furnace for crude oil according to claim 3, characterized in that: The element value of the dynamic weight matrix is used to characterize the degree of thermal inertia imbalance of the corresponding independent heating section. If the element value is greater than or equal to the first preset threshold, it is determined as a thermal inertia overload state and power compensation is triggered. If it is less than or equal to the second preset threshold, it is determined as a thermal inertia underload state and power suppression is triggered. If it is between the first and second preset thresholds, the current power input is maintained.

5. The control system of an electric heating furnace for crude oil according to claim 1, characterized in that: The generation logic of the temperature control compensation gain includes: integrating the viscosity-temperature combination data in the order of reception time to obtain a viscosity-temperature fitting curve; Retrieve the temperature domain centered on the current temperature value of the independent heating section, and based on the preset standard mapping relationship between crude oil viscosity and temperature, obtain the relative viscosity deviation ratio of each temperature value point within the temperature domain; Perform weighted fusion calculation on the relative viscosity deviation ratio according to the preset weight rule to obtain the dynamic compensation factor of the temperature domain ; Substitute the dynamic compensation factor into the formula to obtain the temperature control compensation gain, where is the reference compensation power corresponding to the pre-calibrated unit temperature deviation, are the preset proportionality coefficient and integral coefficient, respectively.

6. The control system of an electric heating furnace for crude oil according to claim 5, wherein: The process of outputting the segmented power regulation instruction includes: obtaining the curvature value of the current temperature value of the independent heating section on the viscosity-temperature fitting curve; obtaining the deviation value between the current viscosity value of the crude oil in the independent heating section and the preset steady-state flow reference viscosity range of the crude oil, and further taking the ratio of the deviation value to the curvature value as the regulated temperature value; taking the product of the regulated temperature value and the temperature compensation gain as the basic regulated power, and combining with the corresponding element value of the independent heating section in the dynamic weight matrix, performing adaptive adjustment on the basic regulated power to determine the final regulated power and the regulation direction, so as to output the segmented power regulation instruction.

7. The control system of a crude oil electric heating furnace according to claim 6, wherein: The multi-stage coil collaborative heating logic includes: based on the regulated power value and the regulation direction in the segmented power regulation instruction of the independent heating section, detecting the current power and the redundant power capacity of the main coil and the auxiliary coil; When the regulation direction is power increase, preferentially allocate the redundant power capacity of the main coil to perform power increase. If the redundant power capacity of the main coil is insufficient, the redundant power capacity of the auxiliary coil is superimposed; When the regulation direction is power decrease, preferentially reduce the current power output of the auxiliary coil. If the power of the auxiliary coil still needs to be decreased after dropping to zero, reduce the current power output of the main coil.

8. The control system of an electric heating furnace for crude oil according to claim 7, characterized in that: The determination process for starting the compensation heating of adjacent heating sections: when the regulation direction is power increase, if the superimposed redundant power capacity of the main and auxiliary coils is insufficient, or the improvement rate of the crude oil viscosity in the independent heating section does not reach the preset standard within the preset duration, it is determined to start the compensation heating of the adjacent heating section; The adjacent heating section calculates the remaining power carrying capacity of the main and auxiliary coils based on its segmented power regulation instruction, and determines the compensation power upper limit of the adjacent heating section based on the heat balance constraint, and calls according to the priority order of the main and auxiliary coils; During the calling process, the internal temperature change of the adjacent heating section is monitored in real time. If it is detected that its temperature value exceeds the preset allowable deviation compared with the expected value of the segmented power regulation instruction, the compensation heating is terminated.

9. The control system of a crude oil electric heating furnace according to claim 1, characterized in that: The closed-loop feedback correction process of the segmented power regulation instruction includes: obtaining the deviation between the viscosity data of the crude oil after heating control and its target viscosity data; dynamically adjusting the element value of the weight matrix based on the proportional-integral correction algorithm, and recalculating the segmented power regulation instruction according to the corrected element value of the weight matrix and the viscosity deviation; Through iterative optimization, the viscosity data of the crude oil converges to the preset steady-state range.

10. An electric heating furnace for crude oil, characterized in that, It includes a control system for an electric heating furnace for crude oil according to any one of claims 1 to 9, wherein each module of the system is implemented by the processor of the electric heating furnace for crude oil executing the corresponding program.

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