Coal-fired boiler air-pulverized coal collaborative intelligent regulation and control method based on multi-parameter coupling

Abstract

The invention relates to a coal-fired boiler air and powder cooperative intelligent regulation and control method based on multi-parameter coupling. The method comprises the following steps: synchronously acquiring original signals through an electrostatic sensor and a sonic sensor on a pulverized coal pipeline, and generating a preprocessed data set containing pulverized coal flow velocity, concentration and fineness after coupled noise reduction processing; dynamically generating target flow velocity, concentration and fineness reference parameters based on the data set, the coal mill coal feeding amount and the unit load instruction; by comparing measured data of each pipeline with dynamic reference parameters, comprehensive deviation of flow velocity, concentration and fineness is calculated in a layered manner, and a layered adjustment instruction set is generated; the air powder control valve is used for executing an adjusting instruction, and adjusted data are collected and fed back in real time; and finally, the adjustment of the layered adjustment instruction set is triggered based on the balance degree evaluation result of the adjusted data, a complete closed-loop technical link is formed, cooperative measurement, dynamic self-adaptive adjustment and global balance control of multiple physical quantities in the pulverized coal conveying process are achieved, and the regulation and control precision and the operation stability of the system are remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of boiler combustion optimization and regulation, and in particular relates to a coal-fired boiler air-powder coordinated intelligent control method based on multi-parameter coupling. Background Art

[0002] During coal-fired boiler operation, the balanced distribution of the air-powder mixture directly impacts combustion efficiency and unit safety. Traditional air-powder control methods rely primarily on static adjustment of a single parameter (such as air speed or concentration), making them difficult to adapt to complex operating conditions such as mill output fluctuations, varying coal quality, and differences in pipeline resistance.

[0003] Due to the lack of multi-parameter coupled measurement methods, existing technologies often fail to accurately capture the dynamic correlation between coal fineness, flow rate, and concentration, leading to delayed regulation or excessive intervention. For example, valve control based on fixed thresholds is prone to misjudgment due to interference from ash and humidity in the electrostatic signal of the coal powder, while frequent mechanical adjustments accelerate valve wear and shorten equipment life.

[0004] In addition, manual or semi-automatic control modes make it difficult to achieve coordinated balance among multiple pipelines. Uneven distribution of pulverized coal often occurs at the burner outlets on the same layer, resulting in local combustion instability or the risk of pipeline blockage.

[0005] Therefore, there is an urgent need for an intelligent control method that can integrate real-time measurement of multi-dimensional parameters, dynamically generate control benchmarks and achieve closed-loop adaptation, so as to break the traditional technology's dependence on manual experience and improve the system's anti-interference ability and long-term operation stability. Summary of the Invention

[0006] Based on this, it is necessary to provide a coal-fired boiler air-powder coordinated intelligent control method based on multi-parameter coupling to address the above technical problems.

[0007] In a first aspect, the present application provides a method for intelligently controlling air-powder coordinated control of a coal-fired boiler based on multi-parameter coupling, comprising:

[0008] S1. Performing coupled noise reduction processing on the original signals output by the electrostatic sensor and the acoustic sensor installed on the pulverized coal pipeline to generate a preprocessed data set including the pulverized coal flow rate, pulverized coal concentration, and pulverized coal fineness; wherein the original signals include the original electrostatic signal output by the electrostatic sensor and the original acoustic signal output by the acoustic sensor;

[0009] S2. Based on the coal feed rate and unit load instructions of the coal mill, a preset dynamic function is used to generate a target flow rate of pulverized coal; based on the preprocessed data set, a pulverized coal concentration benchmark and a pulverized coal fineness benchmark are calculated;

[0010] S3. Calculate the velocity deviation, concentration deviation, and fineness deviation of each pulverized coal pipeline based on the preprocessed data set, the target pulverized coal flow rate, the pulverized coal concentration benchmark, and the pulverized coal fineness benchmark; and generate a hierarchical adjustment instruction set based on the velocity deviation, concentration deviation, and fineness deviation.

[0011] S4. Execute the stratified adjustment instruction set through the air-powder control valve, collect the adjusted pulverized coal flow rate, adjusted pulverized coal concentration, and adjusted pulverized coal fineness, and generate an adjusted data set;

[0012] S5. Based on the adjusted data set, calculate the balance index of the pulverized coal in all pulverized coal pipelines. If the balance index is greater than the preset threshold value, adjust the hierarchical adjustment instruction set according to the balance index and re-execute S4.

[0013] In a second aspect, the present application also provides a coal-fired boiler air-powder coordinated intelligent control system based on multi-parameter coupling, comprising:

[0014] A signal processing module is used to perform coupled noise reduction processing on the original signals output by the electrostatic sensor and the acoustic sensor installed on the pulverized coal pipeline to generate a preprocessed data set containing the pulverized coal flow rate, pulverized coal concentration, and pulverized coal fineness; wherein the original signals include the original electrostatic signal output by the electrostatic sensor and the original acoustic signal output by the acoustic sensor;

[0015] The target and benchmark generation module is used to generate the target flow rate of pulverized coal based on the coal feed rate of the pulverizer and the unit load instruction through a preset dynamic function; and calculate the pulverized coal concentration benchmark and pulverized coal fineness benchmark based on the preprocessed data set;

[0016] The deviation calculation and instruction generation module is used to calculate the flow rate deviation, concentration deviation, and fineness deviation of each pulverized coal pipeline based on the preprocessing data set, the target pulverized coal flow rate, the pulverized coal concentration benchmark, and the pulverized coal fineness benchmark; and generate a set of layered adjustment instructions based on the flow rate deviation, concentration deviation, and fineness deviation;

[0017] An execution and data acquisition module is used to execute a set of layered adjustment instructions through an air-powder control valve, collect the adjusted pulverized coal flow rate, adjusted pulverized coal concentration, and adjusted pulverized coal fineness, and generate an adjusted data set;

[0018] The balance assessment and adjustment module is used to calculate the balance index of the coal powder in all coal powder pipelines based on the adjusted data set. If the balance index is greater than the preset threshold value, the hierarchical adjustment instruction set is adjusted according to the balance index, and the operation of the execution and data acquisition module is re-executed.

[0019] In a third aspect, the present application also provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements a method for intelligent control of coal-fired boiler air-powder coordination based on multi-parameter coupling as described in the first aspect.

[0020] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for intelligent control of coal-fired boiler air-powder coordination based on multi-parameter coupling as described in the first aspect.

[0021] The above-mentioned method of coordinated intelligent control of air and pulverized coal in coal-fired boilers based on multi-parameter coupling synchronously collects original signals through electrostatic sensors and acoustic sensors installed on the pulverized coal pipeline, and generates a preprocessed data set containing pulverized coal flow rate, concentration and fineness after coupled noise reduction processing; dynamically generates target flow rate, concentration and fineness benchmark parameters based on the data set and the coal feed rate of the pulverizer and the unit load instruction; by comparing the measured data of each pipeline with the dynamic benchmark parameters, the comprehensive deviation of the flow rate, concentration and fineness is calculated in layers to generate a layered adjustment instruction set; the adjustment instruction is executed by using the air and pulverized coal control valve, and the adjusted data is collected and fed back in real time; finally, the adjustment of the layered adjustment instruction set is triggered based on the balance evaluation result of the adjusted data, forming a complete technical chain of "multi-parameter acquisition-dynamic benchmark generation-layered deviation control-closed-loop feedback optimization", realizing the coordinated measurement, dynamic adaptive adjustment and global balance control of multiple physical quantities in the pulverized coal transportation process, and significantly improving the system control accuracy and operation stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0023] Figure 1 A flow chart of a method for intelligently controlling air and pulverized coal-fired boilers based on multi-parameter coupling provided by the present invention;

[0024] Figure 2 A schematic diagram of a flow chart of outputting an adjusted data set in an optional embodiment of the present invention;

[0025] Figure 3 This is a structural schematic diagram of a coal-fired boiler air-powder coordinated intelligent control system based on multi-parameter coupling provided by the present invention. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0027] refer to Figure 1 , which presents a flow chart of a coal-fired boiler air-powder coordinated intelligent control method based on multi-parameter coupling provided by the present application, the method comprising the following steps:

[0028] S1. Coupled noise reduction processing is performed on the original signals output by the electrostatic sensor and the acoustic wave sensor installed on the pulverized coal pipeline to generate a preprocessed data set containing the pulverized coal flow rate, pulverized coal concentration, and pulverized coal fineness; wherein the original signals include the original electrostatic signal output by the electrostatic sensor and the original acoustic wave signal output by the acoustic wave sensor.

[0029] Specifically, electrostatic sensors and acoustic sensors are installed on the pulverized coal pipeline. The electrostatic sensor senses the electrostatic charge generated by pulverized coal particles during flow and outputs a raw electrostatic signal. The acoustic sensor receives the acoustic emission signals generated by pulverized coal particles striking the waveguide rod and outputs a raw acoustic signal. These two signals respectively reflect the physical properties of the pulverized coal, such as flow rate, concentration, and fineness. Due to various interference factors in actual operating conditions, such as water vapor and ash content in the pipeline, and external electromagnetic interference, the raw signals often contain noise components, which affects measurement accuracy. Therefore, noise reduction is required for the raw signals. Signal processing algorithms can be used to fuse the electrostatic and acoustic signals, and the acoustic signal is used to correct the electrostatic signal to eliminate noise interference. A preprocessed dataset containing the pulverized coal flow rate, concentration, and fineness is then generated based on the processed electrostatic and acoustic signals. This process not only improves the signal-to-noise ratio but also enhances the stability and reliability of the measurement data.

[0030] S2. Based on the coal feed rate of the pulverizer and the unit load instruction, the target flow rate of the pulverized coal is generated through a preset dynamic function; based on the preprocessed data set, the pulverized coal concentration benchmark and the pulverized coal fineness benchmark are calculated.

[0031] Specifically, a preset dynamic function generates a target pulverized coal flow rate based on the pulverizer's coal feed rate and the unit's load instructions. This dynamic function comprehensively considers the pulverized coal output and the unit's operating requirements to ensure that the pulverized coal supply matches combustion requirements. Simultaneously, a pulverized coal concentration benchmark and a pulverized coal fineness benchmark are calculated based on the preprocessed data set. The pulverized coal concentration benchmark reflects the ideal pulverized coal concentration within each pulverized coal pipeline under current operating conditions; the pulverized coal fineness benchmark represents the target particle size distribution of the pulverized coal particles. The determination of these two benchmarks provides a reference for subsequent deviation calculation and control.

[0032] S3. Calculate the velocity deviation, concentration deviation, and fineness deviation of each pulverized coal pipeline based on the preprocessing data set, the target pulverized coal velocity, the pulverized coal concentration benchmark, and the pulverized coal fineness benchmark; and generate a hierarchical adjustment instruction set based on the velocity deviation, concentration deviation, and fineness deviation.

[0033] Specifically, the actual pulverized coal flow rate, concentration, and fineness from the preprocessed data set are compared with the target pulverized coal flow rate, concentration baseline, and fineness baseline to calculate the flow rate deviation, concentration deviation, and fineness deviation for each pulverized coal pipeline. These deviations reflect the difference between the current pulverized coal parameters within the pipeline and the ideal values. Based on these deviations, a hierarchical adjustment instruction set is generated. This hierarchical adjustment instruction set adopts different adjustment strategies based on the degree of deviation. For example, when the deviation is large, more drastic adjustment measures are adopted; when the deviation is small, gentler adjustment methods are adopted to avoid the impact of excessive adjustment on system stability.

[0034] S4. Execute the layered adjustment instruction set through the air-powder control valve, collect the adjusted pulverized coal flow rate, adjusted pulverized coal concentration and adjusted pulverized coal fineness, and generate an adjusted data set.

[0035] Specifically, the air-powder control valve is the key actuator for regulating the flow rate, concentration, and fineness of pulverized coal. Based on the set of stratified control instructions, the air-powder control valve adjusts its opening, changing the flow resistance within the pulverized coal pipeline, thereby regulating the pulverized coal flow rate. Furthermore, since pulverized coal concentration and fineness are closely related to flow rate, adjusting flow rate also indirectly affects concentration and fineness. After the air-powder control valve executes the control instructions, data on pulverized coal flow rate, concentration, and fineness are collected again to generate a post-adjustment dataset. This data is used to evaluate the effectiveness of the adjustment and provide a basis for subsequent adjustments.

[0036] S5. Based on the adjusted data set, calculate the balance index of the pulverized coal in all pulverized coal pipelines. If the balance index is greater than the preset threshold value, adjust the hierarchical adjustment instruction set according to the balance index and re-execute S4.

[0037] Specifically, based on the adjusted data set, the balance index of the pulverized coal in all pulverized coal pipelines is calculated. The balance index comprehensively reflects the uniformity of the pulverized coal flow rate, concentration, and fineness within each pulverized coal pipeline. If the balance index is greater than the preset threshold value, it indicates that the current pulverized coal distribution is still uneven and requires further adjustment. At this time, the layered adjustment instruction set is adjusted according to the balance index, and the adjustment process in S4 is re-executed until the balance index meets the preset requirements. This feedback adjustment mechanism ensures that the system can adaptively respond to various operating conditions, achieve precise control of pulverized coal parameters, improve combustion efficiency, and reduce unit operation risks.

[0038] The above-mentioned method of coordinated intelligent control of air and pulverized coal in coal-fired boilers based on multi-parameter coupling synchronously collects original signals through electrostatic sensors and acoustic sensors installed on the pulverized coal pipeline, and generates a preprocessed data set containing pulverized coal flow rate, concentration and fineness after coupled noise reduction processing; dynamically generates target flow rate, concentration and fineness benchmark parameters based on the data set and the coal feed rate of the pulverizer and the unit load instruction; by comparing the measured data of each pipeline with the dynamic benchmark parameters, the comprehensive deviation of the flow rate, concentration and fineness is calculated in layers to generate a layered adjustment instruction set; the adjustment instruction is executed by using the air and pulverized coal control valve, and the adjusted data is collected and fed back in real time; finally, the adjustment of the layered adjustment instruction set is triggered based on the balance evaluation result of the adjusted data, forming a complete technical chain of "multi-parameter acquisition-dynamic benchmark generation-layered deviation control-closed-loop feedback optimization", realizing the coordinated measurement, dynamic adaptive adjustment and global balance control of multiple physical quantities in the pulverized coal transportation process, and significantly improving the system control accuracy and operation stability.

[0039] In an optional embodiment, S1 includes the following steps:

[0040] S11 , performing sliding window mean filtering on the original electrostatic signal and the original sound wave signal to generate a noise-reduced electrostatic signal and sound wave signal.

[0041] Specifically, the electrostatic sensor and acoustic sensor installed on the pulverized coal pipeline output the original electrostatic signal and the original acoustic signal, respectively. Due to the presence of noise interference in actual operating conditions (such as water vapor and ash in the pipeline, and external electromagnetic interference), the original signals need to be denoised. Using the sliding window mean filtering method, the original electrostatic signal and acoustic signal are smoothed to generate the noise-reduced electrostatic signal and acoustic signal. Sliding window mean filtering effectively eliminates high-frequency noise and improves signal stability and reliability by sliding a fixed-length window across the signal sequence and calculating the average value of the signal within the window.

[0042] S12. Based on the noise-reduced acoustic wave signal, the particle size distribution of the pulverized coal particles is calculated to obtain the pulverized coal fineness. The calculation formula for the pulverized coal fineness is:

[0043] R90 i =Percentile(r j ,90%);

[0044]

[0045] Among them, r j represents the particle size of the jth pulverized coal particle; R90 i represents the fineness of the pulverized coal in the i-th pulverized coal pipeline, Percentile(r j ,90%) indicates that 90% of the particle sizes in the pulverized coal pipeline are less than or equal to the value; V声波,i represents the acoustic signal of the ith pulverized coal pipeline; m j =α·V 声波 , represents the mass of the j-th pulverized coal particle; α represents the conversion coefficient calibrated by experiment, which is used to convert the acoustic wave signal into the mass of the pulverized coal particle; ρ is the pulverized coal density.

[0046] Specifically, based on the noise-reduced acoustic signal, the particle size distribution of the pulverized coal particles is calculated to obtain the pulverized coal fineness. The calculation formula for pulverized coal fineness is: R90 i =Percentile(r j ,90%), among which r j represents the particle size of the jth pulverized coal particle, R90 i represents the fineness of the pulverized coal in the i-th pulverized coal pipeline, Percentile(r j ,90%) indicates that 90% of the particles in the pulverized coal pipeline have a particle size less than or equal to the value. j The calculation formula is: Among them, m j represents the mass of the jth pulverized coal particle, α is the conversion coefficient calibrated by experiment, which is used to convert the acoustic wave signal into the mass of the pulverized coal particle, ρ is the pulverized coal density, V 声波,i represents the acoustic signal of the i-th pulverized coal pipeline. By combining the amplitude and frequency characteristics of the acoustic signal with the conversion coefficient calibrated by the experiment, the particle size distribution of the pulverized coal particles can be accurately calculated, thereby obtaining the pulverized coal fineness.

[0047] S13, based on the electrostatic signal, calculate the coal powder flow rate v by the electrode group time difference method i ; Among them, v i represents the pulverized coal flow rate of the i-th pulverized coal pipeline.

[0048] Specifically, based on the electrostatic signal after noise reduction, the coal powder flow rate is calculated by the electrode group time difference method. The calculation formula of coal powder flow rate is: i =d / Δt. Where, v i represents the pulverized coal flow rate in the i-th pulverized coal pipeline, d is the fixed distance between the two sets of electrodes, and Δt is the time difference between the pulverized coal flow passing through the two sets of electrodes. By capturing the time difference in the electrical signal as the pulverized coal flow passes through the two sets of electrodes and combining it with the electrode spacing, the pulverized coal flow rate can be calculated.

[0049] S14. Calculate the pulverized coal concentration based on the electrostatic signal and the acoustic wave signal. The calculation formula for the pulverized coal concentration is:

[0050]

[0051] Among them, c i represents the pulverized coal concentration in the i-th pulverized coal pipeline, V静电,i represents the electrostatic signal of the i-th pulverized coal pipeline; k is the pulverized coal concentration calibration coefficient, which is used to convert the ratio of the electrostatic signal to the acoustic wave signal into pulverized coal concentration.

[0052] Specifically, the pulverized coal concentration is calculated based on the noise-reduced electrostatic signal and acoustic wave signal. The calculation formula for the pulverized coal concentration is: Among them, c i represents the pulverized coal concentration in the i-th pulverized coal pipeline, V 静电,i represents the electrostatic signal of the ith pulverized coal pipeline, V 声波,i represents the acoustic signal of the i-th pulverized coal pipeline, and k is the pulverized coal concentration calibration coefficient, which is used to convert the ratio of the electrostatic signal to the acoustic signal into pulverized coal concentration. The pulverized coal concentration can be calculated by combining the experimentally calibrated coefficient k with the ratio of the electrostatic signal to the acoustic signal.

[0053] S15. Output a preprocessed data set including the pulverized coal flow rate, pulverized coal concentration, and pulverized coal fineness.

[0054] Specifically, the calculated pulverized coal flow rate, concentration, and fineness are integrated into a preprocessing dataset. This dataset contains information on flow rate, concentration, and fineness for all pulverized coal pipelines, providing basic data support for subsequent deviation calculation and control.

[0055] In an optional embodiment, S2 includes the following steps:

[0056] S21. Calculate the target flow rate of pulverized coal using a preset piecewise linear function based on the coal feed rate and the unit load instruction P. The calculation formula for the target flow rate of pulverized coal is:

[0057] V s =a·m+b·P+c;

[0058] Where m is the coal feed rate, P is the unit load instruction, and a, b, and c are coefficients obtained through regression analysis of historical operating data.

[0059] Specifically, according to the coal feed rate m of the pulverizer and the unit load instruction P, the target flow rate of pulverized coal is calculated by a preset piecewise linear function. The calculation formula of the target flow rate of pulverized coal is: V s =a·m+b·P+c. a, b, and c are coefficients derived through regression analysis of historical operating data. These coefficients reflect the quantitative relationship between coal feed rate, unit load command, and pulverized coal flow rate. Through regression analysis of historical data, the ideal pulverized coal flow rate for different coal feed rates and load commands can be determined, providing a target reference for subsequent regulation.

[0060] S22. Calculate the average pulverized coal concentration of all pulverized coal pipelines based on the pulverized coal concentration as the pulverized coal concentration benchmark. The calculation formula for the pulverized coal concentration benchmark is:

[0061]

[0062] Among them, C s represents the coal powder concentration benchmark, and n represents the total number of coal powder pipelines.

[0063] Specifically, based on the pulverized coal concentration data of all pulverized coal pipelines, the average pulverized coal concentration is calculated as the pulverized coal concentration benchmark. The calculation formula for the pulverized coal concentration benchmark is: Among them, C s represents the coal powder concentration benchmark, n represents the total number of coal powder pipelines, c i represents the pulverized coal concentration of the i-th pulverized coal pipeline. By calculating the average concentration of all pulverized coal pipelines, a baseline value reflecting the overall pulverized coal concentration level can be obtained, providing a reference for subsequent concentration deviation calculations.

[0064] S23. Calculate the average coal fineness of all coal pulverized pipes based on the coal fineness as the coal fineness benchmark. The calculation formula for the coal fineness benchmark is:

[0065]

[0066] Among them, R90 s Indicates the coal powder fineness benchmark.

[0067] Specifically, based on the coal fineness data of all coal pulverized pipelines, the average coal fineness is calculated as the coal fineness benchmark. The calculation formula for the coal fineness benchmark is: Among them, R90 s Indicates the coal powder fineness standard, R90 i represents the pulverized coal fineness of the i-th pulverized coal pipeline. By calculating the average fineness of all pulverized coal pipelines, a benchmark value reflecting the overall pulverized coal fineness level can be obtained, providing a reference for subsequent fineness deviation calculations.

[0068] In an optional embodiment, S3 includes the following steps:

[0069] S31. Calculate the velocity deviation, concentration deviation, and fineness deviation of each pulverized coal pipeline according to the following formula:

[0070] Δv i =|v i -V s |;

[0071]

[0072] ΔR90 i =|R90 i -R90 s |;

[0073] Where Δvi represents the velocity deviation of the ith pulverized coal pipeline, Δc i Indicates the concentration deviation of the ith pulverized coal pipeline, ΔR90 i Represents the fineness deviation of the i-th pulverized coal pipeline.

[0074] Specifically, the actual pulverized coal flow rate, concentration and fineness in the preprocessed data set are compared with the dynamically generated pulverized coal target flow rate, concentration benchmark and fineness benchmark to calculate the flow rate deviation, concentration deviation and fineness deviation of each pulverized coal pipeline. The specific formula is as follows: Δv i =|v i -V s |; ΔR90 i =|R90 i -R90 s |. Among them, Δv i represents the velocity deviation of the ith pulverized coal pipeline, Δc i Indicates the concentration deviation of the ith pulverized coal pipeline, ΔR90 i These deviations reflect the difference between the current pulverized coal parameters in the pulverized coal pipeline and the ideal values, providing a quantitative basis for subsequent adjustments.

[0075] S32. When the first condition is met, an opening lock instruction is generated, and the opening lock instruction is used to instruct the air-powder control valve to lock the current opening; wherein the first condition is that the flow rate deviation is less than the first flow rate deviation threshold, or the concentration deviation is less than the first concentration deviation threshold, or the fineness deviation is less than the first fineness deviation threshold.

[0076] Specifically, when the flow rate deviation is less than the first flow rate deviation threshold, the concentration deviation is less than the first concentration deviation threshold, or the fineness deviation is less than the first fineness deviation threshold, an opening lock instruction is generated. This instruction instructs the air-powder control valve to lock its current opening, avoiding unnecessary adjustments and ensuring stable system operation. This condition is designed to reduce disturbances during the adjustment process and improve system reliability.

[0077] S33. When the second condition is met, the opening increment of the air-powder control valve is calculated according to the flow rate deviation, concentration deviation and fineness deviation, and an opening fine-tuning instruction is generated based on the opening increment; wherein, the opening fine-tuning instruction is used to instruct the air-powder control valve to adjust the opening according to the opening increment; the second condition is that the flow rate deviation is greater than the first flow rate deviation threshold and less than the second flow rate deviation threshold, or the concentration deviation is greater than the first concentration deviation threshold and less than the second concentration deviation threshold, or the fineness deviation is greater than the first fineness deviation threshold and less than the second fineness deviation threshold.

[0078] Specifically, when the flow rate deviation is greater than a first flow rate deviation threshold and less than a second flow rate deviation threshold, or when the concentration deviation is greater than a first concentration deviation threshold and less than a second concentration deviation threshold, or when the fineness deviation is greater than a first fineness deviation threshold and less than a second fineness deviation threshold, the air-powder control valve opening increment is calculated based on the deviation, and a fine-adjustment instruction is generated. This instruction instructs the air-powder control valve to make fine adjustments based on the opening increment to achieve precise control of pulverized coal parameters. In this way, the system can make fine adjustments within a narrow deviation range, ensuring the stability of pulverized coal parameters.

[0079] S34. When the third condition is met, a coarse adjustment instruction for the opening is generated; wherein the coarse adjustment instruction for the opening is used to instruct the air-powder control valve to adjust the opening according to a preset coarse adjustment amount; the third condition is that the flow rate deviation is greater than the second flow rate deviation threshold, or the concentration deviation is greater than the second concentration deviation threshold, or the fineness deviation is greater than the second fineness deviation threshold.

[0080] Specifically, when the flow rate deviation exceeds the second flow rate deviation threshold, the concentration deviation exceeds the second concentration deviation threshold, or the fineness deviation exceeds the second fineness deviation threshold, a coarse opening adjustment command is generated. This command instructs the air-powder control valve to make a larger adjustment based on the preset coarse adjustment amount to quickly respond to large deviations. This coarse adjustment mechanism enables swift action when large system deviations occur, preventing system runaway and ensuring combustion efficiency and unit safety.

[0081] S35. Generate a layered adjustment instruction set based on the opening locking instruction, the opening fine adjustment instruction, and the opening coarse adjustment instruction; wherein the first flow rate deviation threshold is smaller than the second flow rate deviation threshold, the first concentration deviation threshold is smaller than the second concentration deviation threshold, and the first fineness deviation threshold is smaller than the second fineness deviation threshold.

[0082] Specifically, a tiered adjustment command set is generated based on the opening lock command, the fine opening adjustment command, and the coarse opening adjustment command. This set comprehensively considers the adjustment requirements under different deviation levels. Through a tiered adjustment strategy, the system ensures precise control of pulverized coal parameters under various operating conditions. The generation of this tiered adjustment command set enables the system to take different adjustment measures based on the magnitude of the deviation, ensuring adjustment accuracy while improving the system's response speed and stability.

[0083] In an optional embodiment, the calculation formula for the opening increment is:

[0084] ΔS i =A×(w1·sign(V s -v i )+w2·sign(C s -c i )+w3·sign(R90 s -R90i ));

[0085] Where, ΔS i is the opening increment of the i-th pulverized coal pipeline, and A is the preset adjustment coefficient; Indicates the velocity deviation weight coefficient, V th is the first flow rate deviation threshold; Indicates the concentration deviation weight coefficient, C th is the first concentration deviation threshold; Indicates the fineness deviation weight coefficient, R90 th is the first fineness deviation threshold; sign(·) is the sign function. When the value in the sign(·) bracket is greater than 0, the function takes the value 1; when the value in the sign(·) bracket is less than 0, the function takes the value -1.

[0086] Specifically, the calculation formula for the opening increment is: ΔS i =A×(w1·sign(V s -v i )+w2·sign(C s -c i )+w3·sign(R90 s -R90 i )). Where, ΔS i represents the opening increment of the i-th pulverized coal pipeline. A is the preset adjustment coefficient, which controls the adjustment amplitude. w1, w2, and w3 are the weight coefficients for velocity deviation, concentration deviation, and fineness deviation, respectively, which measure the impact of different deviations on the adjustment. sign(·) is the sign function. When the value in the brackets is greater than 0, the function takes the value of 1; when the value in the brackets is less than 0, the function takes the value of -1.

[0087] The calculation formula of the weight coefficient is as follows: V th 、C th 、R90 th The first flow rate deviation threshold, the first concentration deviation threshold, and the first fineness deviation threshold are used to determine whether the deviation is within the acceptable range. These weighting coefficients reflect the relative importance of different deviations to the adjustment. By comparing the deviation value with the corresponding threshold, the priority of each parameter in the adjustment process can be determined.

[0088] The sign function, sign(·), determines the direction of adjustment. When the actual value is less than the target value, the sign function returns 1, indicating that the opening should be increased. When the actual value is greater than the target value, the sign function returns -1, indicating that the opening should be decreased.

[0089] The combined opening increment is obtained by multiplying the deviations of flow rate, concentration, and fineness by the corresponding weight coefficients and sign function values, and then multiplying them by the adjustment coefficient A. This comprehensive adjustment method ensures that the deviations of multiple parameters can be simultaneously considered during the adjustment process, achieving comprehensive control of the flow rate, concentration, and fineness of pulverized coal.

[0090] Calculating the opening increment enables precise adjustment of the air-to-powder control valve based on actual deviations, ensuring that pulverized coal parameters remain within the target range. This allows the system to quickly respond to changing operating conditions and maintain stable pulverized coal flow rate, concentration, and fineness, thereby improving combustion efficiency and unit reliability.

[0091] refer to Figure 2 In an optional embodiment, S4 includes the following steps:

[0092] S41. According to the hierarchical adjustment instruction set, the DCS sends an instruction to the air-powder control valve to drive the valve core to rotate to the target opening.

[0093] Specifically, based on the generated hierarchical adjustment command set, the DCS (Distributed Control System) issues commands to the air-powder control valve. The DCS converts the adjustment commands into specific control signals, driving the valve core of the air-powder control valve to rotate to the target opening. This process ensures accurate execution of the adjustment commands, allowing the air-powder control valve to adjust according to the preset opening increments, thereby changing the flow resistance within the pulverized coal pipeline and regulating the pulverized coal flow rate.

[0094] S42. Predicting the resistance value after adjustment based on a preset valve opening-resistance curve; wherein the valve opening-resistance curve represents a curve showing changes in air flow resistance caused by changes in valve opening.

[0095] Specifically, the adjusted resistance value is predicted based on a preset valve opening-resistance curve. This curve, derived through experimentation or simulation, reflects the quantitative relationship between changes in valve opening and air flow resistance. By querying this curve, the adjusted resistance value can be predicted based on the current valve opening increment. This prediction mechanism provides basic data support for subsequent pulverized coal flow rate predictions.

[0096] S43. Predicting a predicted value of the pulverized coal flow rate after adjustment based on the resistance value after adjustment.

[0097] Specifically, the adjusted pulverized coal flow rate is predicted based on the predicted resistance value, combined with fluid mechanics principles and the flow characteristics within the pipeline. The pulverized coal flow rate prediction formula is typically based on the laws of conservation of mass and energy, taking into account pressure loss and resistance changes within the pipeline. This method allows for an early estimate of the adjusted pulverized coal flow rate, providing a reference for subsequent deviation calculations.

[0098] S44, collecting the adjusted pulverized coal flow rate, the adjusted pulverized coal concentration, and the adjusted pulverized coal fineness, and calculating the flow rate prediction deviation based on the adjusted pulverized coal flow rate and the pulverized coal flow rate prediction value.

[0099] Specifically, after the air-to-powder control valve executes an adjustment command, data on the adjusted pulverized coal flow rate, concentration, and fineness are collected in real time. This data is obtained by sensors installed on the pulverized coal pipeline and transmitted to the DCS system for processing. The collected adjusted pulverized coal flow rate is compared with the predicted pulverized coal flow rate to calculate the flow rate prediction deviation. This flow rate prediction deviation reflects the difference between the actual flow rate and the predicted flow rate, providing a basis for subsequent feedback adjustments.

[0100] S45. If the flow rate prediction deviation is greater than a preset prediction deviation threshold, the opening increment is adjusted according to the flow rate prediction deviation to obtain an adjusted opening increment.

[0101] Specifically, if the flow rate prediction deviation exceeds the preset prediction deviation threshold, it indicates that the current regulation effect is significantly different from the expected one and requires further adjustment. Based on the magnitude and direction of the flow rate prediction deviation, the opening increment is adjusted to obtain the adjusted opening increment. This adjustment mechanism ensures that the system can self-correct based on actual feedback, improving the accuracy and stability of regulation.

[0102] S46: Based on the adjusted opening increment, re-execute S3 to S4.

[0103] Specifically, based on the adjusted opening increment, the adjustment process from S3 to S4 is re-executed. This cycle continues until the flow rate prediction deviation is less than or equal to the preset prediction deviation threshold. Through this iterative adjustment mechanism, the system continuously optimizes the adjustment effect, ensuring that the pulverized coal flow rate, concentration, and fineness meet the desired targets.

[0104] S47: until the flow rate prediction deviation is less than or equal to a preset prediction deviation threshold, output the adjusted data set.

[0105] Specifically, when the flow rate prediction deviation meets preset requirements, an adjusted data set containing the adjusted pulverized coal flow rate, concentration, and fineness is output. This data set provides basic data support for subsequent balance assessment and further adjustments, ensuring closed-loop control and continuous optimization of the entire system.

[0106] In an optional embodiment, the calculation formula of the adjusted opening increment is:

[0107]

[0108] Among them, ΔS′ i is the opening increment after adjustment, δv i is the velocity prediction deviation, v′ iTo adjust the flow rate of pulverized coal.

[0109] Specifically, when the velocity prediction deviation δv i When the value is greater than the preset prediction deviation threshold, it means that the current regulation effect is significantly different from the expected one. At this time, the original opening increment ΔS needs to be adjusted according to the flow rate prediction deviation. i Adjust. The opening increment after adjustment is ΔS′ i By taking the velocity prediction deviation δv i and the adjusted pulverized coal flow rate v′ i The ratio of the original opening increment ΔS i , and obtain a corrected opening increment.

[0110] This adjustment mechanism allows the system to self-correct based on actual feedback, ensuring more precise regulation of the pulverized coal flow rate. This feedback adjustment based on predicted deviations not only improves the system's regulation accuracy but also enhances its stability and adaptability.

[0111] The above-mentioned method of coordinated intelligent control of air and pulverized coal in coal-fired boilers based on multi-parameter coupling synchronously collects original signals through electrostatic sensors and acoustic sensors installed on the pulverized coal pipeline, and generates a preprocessed data set containing pulverized coal flow rate, concentration and fineness after coupled noise reduction processing; dynamically generates target flow rate, concentration and fineness benchmark parameters based on the data set and the coal feed rate of the pulverizer and the unit load instruction; by comparing the measured data of each pipeline with the dynamic benchmark parameters, the comprehensive deviation of the flow rate, concentration and fineness is calculated in layers to generate a layered adjustment instruction set; the adjustment instruction is executed by using the air and pulverized coal control valve, and the adjusted data is collected and fed back in real time; finally, the adjustment of the layered adjustment instruction set is triggered based on the balance evaluation result of the adjusted data, forming a complete technical chain of "multi-parameter acquisition-dynamic benchmark generation-layered deviation control-closed-loop feedback optimization", realizing the coordinated measurement, dynamic adaptive adjustment and global balance control of multiple physical quantities in the pulverized coal transportation process, and significantly improving the system control accuracy and operation stability.

[0112] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0113] Based on the same inventive concept, the embodiments of the present application also provide a system for implementing the aforementioned method for intelligently controlling the air-powder-coordinated control of coal-fired boilers based on multi-parameter coupling. The implementation solution provided by this system is similar to the implementation solution described in the aforementioned method. Therefore, the specific limitations of one or more embodiments of the system for intelligently controlling the air-powder-coordinated control of coal-fired boilers based on multi-parameter coupling provided below can be found in the above-mentioned limitations of the method for intelligently controlling the air-powder-coordinated control of coal-fired boilers based on multi-parameter coupling, and will not be repeated here.

[0114] In an exemplary embodiment, Figure 3 As shown, a coal-fired boiler air-powder coordinated intelligent control system 30 based on multi-parameter coupling is provided, comprising:

[0115] The signal processing module 31 is used to perform coupled noise reduction processing on the original signals output by the electrostatic sensor and the acoustic wave sensor installed on the pulverized coal pipeline to generate a preprocessed data set containing the pulverized coal flow rate, pulverized coal concentration and pulverized coal fineness; wherein the original signal includes the original electrostatic signal output by the electrostatic sensor and the original acoustic wave signal output by the acoustic wave sensor.

[0116] The target and benchmark generation module 32 is used to generate the target flow rate of pulverized coal through a preset dynamic function based on the coal feed rate of the pulverizer and the unit load instruction; and calculate the pulverized coal concentration benchmark and the pulverized coal fineness benchmark according to the preprocessed data set.

[0117] The deviation calculation and instruction generation module 33 is used to calculate the flow rate deviation, concentration deviation and fineness deviation of each pulverized coal pipeline based on the preprocessing data set, the target pulverized coal flow rate, the pulverized coal concentration benchmark and the pulverized coal fineness benchmark; and generate a layered adjustment instruction set based on the flow rate deviation, concentration deviation and fineness deviation.

[0118] The execution and data acquisition module 34 is used to execute the layered adjustment instruction set through the air-powder control valve, collect the adjusted pulverized coal flow rate, adjusted pulverized coal concentration and adjusted pulverized coal fineness, and generate an adjusted data set.

[0119] The balance assessment and adjustment module 35 is used to calculate the balance index of the coal powder in all coal powder pipelines based on the adjusted data set. If the balance index is greater than the preset threshold value, the hierarchical adjustment instruction set is adjusted according to the balance index, and the operation of the execution and data acquisition module is re-executed.

[0120] Optionally, the signal processing module includes:

[0121] The signal filtering unit is used to perform sliding window mean filtering on the original electrostatic signal and the original sound wave signal to generate a noise-reduced electrostatic signal and a sound wave signal.

[0122] The pulverized coal fineness calculation unit is used to calculate the particle size distribution of the pulverized coal particles based on the noise-reduced acoustic wave signal to obtain the pulverized coal fineness. The calculation formula for the pulverized coal fineness is:

[0123] R90 i =Percentile(r j ,90%);

[0124]

[0125] Among them, r j represents the particle size of the jth pulverized coal particle; R90 i represents the fineness of the pulverized coal in the i-th pulverized coal pipeline, Percentile(r j ,90%) indicates that 90% of the particle sizes in the pulverized coal pipeline are less than or equal to the value; V 声波,i represents the acoustic signal of the ith pulverized coal pipeline; m j =α·V 声波 , represents the mass of the j-th pulverized coal particle; α represents the conversion coefficient calibrated by experiment, which is used to convert the acoustic wave signal into the mass of the pulverized coal particle; ρ is the pulverized coal density.

[0126] The coal powder flow rate calculation unit is used to calculate the coal powder flow rate v based on the electrostatic signal by the electrode group time difference method i ; Among them, v i represents the pulverized coal flow rate of the i-th pulverized coal pipeline.

[0127] The pulverized coal concentration calculation unit is used to calculate the pulverized coal concentration based on the electrostatic signal and the acoustic wave signal. The calculation formula of the pulverized coal concentration is:

[0128]

[0129] Among them, c i represents the pulverized coal concentration in the i-th pulverized coal pipeline, V 静电,i represents the electrostatic signal of the i-th pulverized coal pipeline; k is the pulverized coal concentration calibration coefficient, which is used to convert the ratio of the electrostatic signal to the acoustic wave signal into pulverized coal concentration.

[0130] The data output unit is used to output a preprocessed data set including coal powder flow rate, coal powder concentration and coal powder fineness.

[0131] Optional target and benchmark generation modules include:

[0132] The target flow rate calculation unit is used to calculate the target flow rate of pulverized coal by a preset piecewise linear function according to the coal feed rate and the unit load instruction P. The calculation formula of the target flow rate of pulverized coal is:

[0133] V s =a·m+b·P+c;

[0134] Where m is the coal feed rate, P is the unit load instruction, and a, b, and c are coefficients obtained through regression analysis of historical operating data.

[0135] The concentration benchmark calculation unit is used to calculate the average pulverized coal concentration of all pulverized coal pipelines based on the pulverized coal concentration as the pulverized coal concentration benchmark; the calculation formula for the pulverized coal concentration benchmark is:

[0136]

[0137] Among them, C s represents the coal powder concentration benchmark, and n represents the total number of coal powder pipelines.

[0138] The fineness benchmark calculation unit is used to calculate the average coal fineness of all coal pulverized pipes based on the coal fineness as the coal fineness benchmark; the calculation formula of the coal fineness benchmark is:

[0139]

[0140] Among them, R90 s Indicates the coal powder fineness benchmark.

[0141] Optionally, the deviation calculation and instruction generation module includes:

[0142] The deviation calculation unit is used to calculate the flow rate deviation, concentration deviation and fineness deviation of each pulverized coal pipeline according to the following formula:

[0143] Δv i =|v i -V s |;

[0144]

[0145] ΔR90 i =|R90 i -R90 s |;

[0146] Where Δv i represents the velocity deviation of the ith pulverized coal pipeline, Δc i Indicates the concentration deviation of the ith pulverized coal pipeline, ΔR90 i Represents the fineness deviation of the i-th pulverized coal pipeline.

[0147] The locking instruction generating unit is used to generate an opening locking instruction when a first condition is met, and the opening locking instruction is used to instruct the air-powder control valve to lock the current opening amount; wherein the first condition is that the flow rate deviation is less than the first flow rate deviation threshold, or the concentration deviation is less than the first concentration deviation threshold, or the fineness deviation is less than the first fineness deviation threshold.

[0148] A fine-tuning instruction generating unit is used to calculate the opening increment of the air-powder control valve according to the flow rate deviation, concentration deviation and fineness deviation when the second condition is met, and to generate an opening fine-tuning instruction based on the opening increment; wherein the opening fine-tuning instruction is used to instruct the air-powder control valve to adjust the opening according to the opening increment; the second condition is that the flow rate deviation is greater than the first flow rate deviation threshold and less than the second flow rate deviation threshold, or the concentration deviation is greater than the first concentration deviation threshold and less than the second concentration deviation threshold, or the fineness deviation is greater than the first fineness deviation threshold and less than the second fineness deviation threshold.

[0149] The coarse adjustment instruction generating unit is used to generate a coarse adjustment instruction for opening when a third condition is met; wherein the coarse adjustment instruction for opening is used to instruct the air-powder control valve to adjust the opening according to a preset coarse adjustment amount; the third condition is that the flow rate deviation is greater than the second flow rate deviation threshold, or the concentration deviation is greater than the second concentration deviation threshold, or the fineness deviation is greater than the second fineness deviation threshold.

[0150] The layered adjustment instruction integration unit is used to generate a layered adjustment instruction set based on the opening locking instruction, the opening fine adjustment instruction and the opening coarse adjustment instruction; wherein the first flow rate deviation threshold is less than the second flow rate deviation threshold, the first concentration deviation threshold is less than the second concentration deviation threshold, and the first fineness deviation threshold is less than the second fineness deviation threshold.

[0151] Optionally, the calculation formula for the opening increment in the fine-tuning instruction generation unit is:

[0152] ΔS i =A×(w1·sign(V s -v i )+w2·sign(C s -c i )+w3·sign(R90 s -R90 i ));

[0153] Where, ΔS i is the opening increment of the i-th pulverized coal pipeline, and A is the preset adjustment coefficient; Indicates the velocity deviation weight coefficient, V th is the first flow rate deviation threshold; Indicates the concentration deviation weight coefficient, C th is the first concentration deviation threshold; Indicates the fineness deviation weight coefficient, R90 th is the first fineness deviation threshold; sign(·) is the sign function. When the value in the sign(·) bracket is greater than 0, the function takes the value 1; when the value in the sign(·) bracket is less than 0, the function takes the value -1.

[0154] Optional execution and data acquisition modules include:

[0155] The instruction execution subunit is used to send instructions to the air-powder control valve through the DCS according to the hierarchical adjustment instruction set, driving the valve core to rotate to the target opening.

[0156] The resistance prediction subunit is used to predict the resistance value after adjustment based on a preset valve opening-resistance curve; wherein the valve opening-resistance curve represents a curve showing the change in air flow resistance caused by the change in valve opening.

[0157] The flow rate prediction subunit is used to predict the adjusted coal powder flow rate prediction value according to the adjusted resistance value.

[0158] The deviation calculation and data acquisition subunit is used to collect the adjusted pulverized coal flow rate, the adjusted pulverized coal concentration and the adjusted pulverized coal fineness, and calculate the flow rate prediction deviation based on the adjusted pulverized coal flow rate and the pulverized coal flow rate prediction value.

[0159] The opening adjustment subunit is used to adjust the opening increment according to the flow rate prediction deviation to obtain the adjusted opening increment if the flow rate prediction deviation is greater than a preset prediction deviation threshold.

[0160] The loop execution unit is used to re-execute the operations from the deviation calculation and instruction generation module to the execution and data acquisition module based on the adjusted opening increment.

[0161] The data output and judgment subunit is used to output the adjusted data set until the flow rate prediction deviation is less than or equal to a preset prediction deviation threshold.

[0162] Optionally, the calculation formula for the adjusted opening increment in the opening adjustment subunit is:

[0163]

[0164] Among them, ΔS′ i is the opening increment after adjustment, δv i is the velocity prediction deviation, v′ i is the pulverized coal flow rate after adjustment.

[0165] An embodiment of the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0166] An embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0167] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial description of the method embodiments. The device embodiments described above are merely illustrative, wherein the components described as separate parts may or may not be physically separated, and the parts displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the disclosed solution. A person of ordinary skill in the art can understand and implement it without expending creative work.

[0168] The above-described embodiments merely represent several implementation methods of the embodiments of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the concept of the embodiments of the present application, and these modifications and improvements fall within the scope of protection of the embodiments of the present application.

Claims

1. A method for intelligent control of coal-fired boiler air-powder coordination based on multi-parameter coupling, characterized in that: The method comprises: S1. Performing coupled noise reduction processing on the original signals output by the electrostatic sensor and the acoustic wave sensor installed on the pulverized coal pipeline to generate a preprocessed data set including the pulverized coal flow rate, pulverized coal concentration, and pulverized coal fineness; wherein the original signals include the original electrostatic signal output by the electrostatic sensor and the original acoustic wave signal output by the acoustic wave sensor; S2. Based on the coal feed rate of the coal mill and the unit load instruction, a preset dynamic function is used to generate a target flow rate of pulverized coal; and based on the preprocessed data set, a pulverized coal concentration benchmark and a pulverized coal fineness benchmark are calculated; S3. Calculate the flow rate deviation, concentration deviation, and fineness deviation of each pulverized coal pipeline based on the preprocessed data set, the pulverized coal target flow rate, the pulverized coal concentration reference, and the pulverized coal fineness reference; and generate a stratified adjustment instruction set based on the flow rate deviation, the concentration deviation, and the fineness deviation. S4. Executing the stratified adjustment instruction set through the air-powder control valve, collecting the adjusted pulverized coal flow rate, adjusted pulverized coal concentration, and adjusted pulverized coal fineness, and generating an adjusted data set; S5. Based on the adjusted data set, calculate the balance index of the coal powder in all the coal powder pipelines. If the balance index is greater than a preset threshold value, adjust the hierarchical adjustment instruction set according to the balance index and re-execute S4.

2. The method according to claim 1, characterized in that Said S1 comprises: S11, performing sliding window mean filtering on the original electrostatic signal and the original acoustic wave signal to generate a noise-reduced electrostatic signal and acoustic wave signal; S12. Based on the noise-reduced acoustic wave signal, the particle size distribution of the pulverized coal particles is calculated to obtain the pulverized coal fineness; the calculation formula for the pulverized coal fineness is: R90 i =Percentile(r j ,90%); Among them, r j represents the particle size of the jth pulverized coal particle; R90 i represents the fineness of the pulverized coal in the i-th pulverized coal pipeline, Percentile(r j ,90%) indicates that 90% of the particle sizes in the pulverized coal pipeline are less than or equal to the value; V 声波,i represents the acoustic signal of the ith pulverized coal pipeline; m j =α·V 声波 , represents the mass of the j-th pulverized coal particle; α represents the conversion coefficient calibrated by experiment, which is used to convert the acoustic wave signal into the mass of the pulverized coal particle; ρ is the pulverized coal density; S13, based on the electrostatic signal, calculate the coal powder flow rate v by the electrode group time difference method i ; Among them, v i represents the pulverized coal flow rate of the i-th pulverized coal pipeline; S14. Calculate the pulverized coal concentration based on the electrostatic signal and the acoustic wave signal. The calculation formula for the pulverized coal concentration is: Among them, c i represents the pulverized coal concentration in the i-th pulverized coal pipeline, V 静电,i represents the electrostatic signal of the i-th pulverized coal pipeline; k is the pulverized coal concentration calibration coefficient, which is used to convert the ratio of the electrostatic signal to the acoustic signal into the pulverized coal concentration; S15. Output a preprocessed data set including the pulverized coal flow rate, the pulverized coal concentration, and the pulverized coal fineness.

3. The method according to claim 2, characterized in that The S2 includes: S21. Calculate the target flow rate of pulverized coal using a preset piecewise linear function based on the coal feed rate and the unit load instruction P. The calculation formula for the target flow rate of pulverized coal is: V s =a·m+b·P+c; Wherein, m is the coal feed rate, P is the unit load instruction, and a, b, and c are coefficients obtained through regression analysis of historical operating data; S22. Calculate the average pulverized coal concentration of all the pulverized coal pipelines based on the pulverized coal concentration as the pulverized coal concentration benchmark; the calculation formula for the pulverized coal concentration benchmark is: Among them, C s represents the pulverized coal concentration benchmark, and n represents the total number of the pulverized coal pipelines; S23. Calculate the average coal fineness of all the coal pulverized pipes based on the coal fineness as the coal fineness benchmark. The calculation formula for the coal fineness benchmark is: Among them, R90 s Indicates the coal powder fineness standard.

4. The method according to claim 3, characterized in that The S3 includes: S31. Calculate the flow rate deviation, concentration deviation, and fineness deviation of each of the pulverized coal pipelines according to the following formula: Δv i =|v i -V s |; ΔR90 i =|R90 i -R90 s |; Where Δv i represents the velocity deviation of the ith pulverized coal pipeline, Δc i represents the concentration deviation of the ith pulverized coal pipeline, ΔR90 i represents the fineness deviation of the i-th pulverized coal pipeline; S32. When a first condition is met, generating an opening lock instruction, the opening lock instruction being used to instruct the air-powder control valve to lock the current opening; wherein the first condition is that the flow rate deviation is less than a first flow rate deviation threshold, or the concentration deviation is less than a first concentration deviation threshold, or the fineness deviation is less than a first fineness deviation threshold; S33. When a second condition is met, an opening increment of the air-powder control valve is calculated based on the flow rate deviation, the concentration deviation, and the fineness deviation, and an opening fine-tuning instruction is generated based on the opening increment; wherein the opening fine-tuning instruction is used to instruct the air-powder control valve to adjust its opening based on the opening increment; the second condition is that the flow rate deviation is greater than the first flow rate deviation threshold and less than the second flow rate deviation threshold, or the concentration deviation is greater than the first concentration deviation threshold and less than the second concentration deviation threshold, or the fineness deviation is greater than the first fineness deviation threshold and less than the second fineness deviation threshold; S34. When a third condition is met, generate a coarse opening adjustment instruction; wherein the coarse opening adjustment instruction is used to instruct the air-powder control valve to adjust its opening according to a preset coarse adjustment amount; the third condition is that the flow rate deviation is greater than the second flow rate deviation threshold, or the concentration deviation is greater than the second concentration deviation threshold, or the fineness deviation is greater than the second fineness deviation threshold; S35. Generate the layered adjustment instruction set according to the opening locking instruction, the opening fine adjustment instruction and the opening coarse adjustment instruction; wherein the first flow rate deviation threshold is smaller than the second flow rate deviation threshold, the first concentration deviation threshold is smaller than the second concentration deviation threshold, and the first fineness deviation threshold is smaller than the second fineness deviation threshold.

5. The method according to claim 4, characterized in that The calculation formula of the opening increment is: ΔS i =A×(w1·sign(V s -v i )+w2·sign(C s -c i )+w3·sign(R90 s -R90 i )); Where, ΔS i is the opening increment of the i-th pulverized coal pipeline, and A is the preset adjustment coefficient; Indicates the velocity deviation weight coefficient, V th is the first flow rate deviation threshold; Indicates the concentration deviation weight coefficient, C th is the first concentration deviation threshold; Indicates the fineness deviation weight coefficient, R90 th is the first fineness deviation threshold; sign(·) is a sign function. When the value in the sign(·) bracket is greater than 0, the function takes the value 1; when the value in the sign(·) bracket is less than 0, the function takes the value -1.

6. The method according to claim 5, characterized in that The S4 includes: S41. According to the hierarchical adjustment instruction set, a command is issued to the air-powder control valve via the DCS to drive the valve core to rotate to the target opening; S42. Predicting a resistance value after adjustment based on a preset valve opening-resistance curve; wherein the valve opening-resistance curve represents a curve showing a change in air flow resistance caused by a change in valve opening; S43, predicting a predicted value of the adjusted pulverized coal flow rate according to the adjusted resistance value; S44, collecting the adjusted pulverized coal flow rate, the adjusted pulverized coal concentration, and the adjusted pulverized coal fineness, and calculating a flow rate prediction deviation based on the adjusted pulverized coal flow rate and the pulverized coal flow rate prediction value; S45. If the flow rate prediction deviation is greater than a preset prediction deviation threshold, adjusting the opening increment according to the flow rate prediction deviation to obtain an adjusted opening increment; S46, re-execute S3 to S4 based on the adjusted opening increment; S47: until the flow rate prediction deviation is less than or equal to the preset prediction deviation threshold, output the adjusted data set.

7. The method according to claim 6, characterized in that The calculation formula of the adjusted opening increment is: Among them, ΔS′ i is the opening increment after adjustment, δv i is the velocity prediction deviation, v′ i is the pulverized coal flow rate after adjustment.

8. A coal-fired boiler air-powder coordinated intelligent control system based on multi-parameter coupling, characterized in that: The system comprises: a signal processing module for performing coupled noise reduction processing on the original signals output by the electrostatic sensor and the acoustic wave sensor installed on the pulverized coal pipeline to generate a preprocessed data set containing the pulverized coal flow rate, pulverized coal concentration, and pulverized coal fineness; wherein the original signals include the original electrostatic signal output by the electrostatic sensor and the original acoustic wave signal output by the acoustic wave sensor; A target and benchmark generation module is used to generate a target flow rate of pulverized coal based on the coal feed rate of the pulverizer and the unit load instruction through a preset dynamic function; and calculate a pulverized coal concentration benchmark and a pulverized coal fineness benchmark based on the preprocessed data set; a deviation calculation and instruction generation module, configured to calculate the flow rate deviation, concentration deviation, and fineness deviation of each pulverized coal pipeline based on the preprocessing data set, the target pulverized coal flow rate, the pulverized coal concentration benchmark, and the pulverized coal fineness benchmark; and generate a set of layered adjustment instructions based on the flow rate deviation, the concentration deviation, and the fineness deviation; an execution and data acquisition module, configured to execute the stratified adjustment instruction set through the air-powder control valve, collect the adjusted pulverized coal flow rate, the adjusted pulverized coal concentration, and the adjusted pulverized coal fineness, and generate an adjusted data set; The balance assessment and adjustment module is used to calculate the balance index of all the coal powder in the coal powder pipeline based on the adjusted data set. If the balance index is greater than the preset threshold value, the hierarchical adjustment instruction set is adjusted according to the balance index, and the operation of the execution and data acquisition module is re-executed.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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