Automatic slurry supply method and system for desulfurization system

Abstract

The application provides a desulfurization system automatic slurry supply method and system, and belongs to the technical field of desulfurization. The method comprises the following steps: fitting a mathematical calculation model based on a previously established time database; wherein the time database is established based on boiler desulfurization operation data; obtaining desulfurization slurry supply parameters by using the mathematical calculation model based on the time database; wherein the desulfurization slurry supply parameters comprise limestone slurry supply amount of an absorption tower, absorption tower pH prediction value and slurry supply adjusting door opening degree; precise automatic slurry supply of the absorption tower, accurate absorption tower slurry pH control and accurate absorption tower slurry pH prediction are realized through the mathematical calculation model, which can effectively solve the problem that automatic slurry supply of the absorption tower is generally difficult to realize, thereby realizing automatic slurry supply of the absorption tower, improving the automation degree of the desulfurization device and reducing the workload of the operation personnel. Based on the desulfurization slurry supply parameters, a slurry supply control scheme is generated and executed. Accurate absorption tower slurry pH prediction is realized, and the reliability of the desulfurization system operation is improved.

Description

Technical Field

[0001] This invention relates to the field of desulfurization technology, specifically to an automatic slurry supply method and an automatic slurry supply system for a desulfurization system. Background Technology

[0002] The absorber tower system is the core system of limestone-gypsum wet flue gas desulfurization (FGD). The pH of the absorber tower slurry is one of the key parameters of the system, significantly impacting FGD emission compliance, power consumption, and gypsum dewatering. However, in actual operation, wet FGD systems generally cannot achieve automatic slurry supply to the absorber tower, resulting in large fluctuations in slurry pH. This leads to significant fluctuations in SO2 emission concentration at the FGD outlet and a high risk of SO2 exceeding emission standards. To achieve emission compliance, operators must constantly monitor the SO2 emission concentration at the FGD outlet and the pH of the absorber tower slurry, frequently operating the slurry supply regulating valve to adjust the slurry supply. This results in high workload for operators, inefficient FGD system operation and management, poor system stability, high energy consumption, and excessive labor intensity for operators. Therefore, achieving precise and automatic slurry supply to the absorber tower is a critical challenge that power plants urgently need to address.

[0003] For example, the limestone slurry supply to the absorption tower currently mostly adopts PID automatic regulation. However, in actual operation, due to factors such as large fluctuations in the relationship between the opening of the limestone slurry supply regulating valve and the slurry flow rate, the inability of the limestone slurry supply regulating valve to automatically track the slurry flow rate, fluctuations in the effective components of limestone, fluctuations in limestone slurry, and poor accuracy in measuring the inlet flue gas volume, the PID automatic regulation program has a small range of adaptability. Often, after a long period of parameter debugging and correction in the initial stage, it can barely operate normally, but after a period of time, the PID automatic regulation becomes abnormal. The PID automatic regulation program becomes fixed and has poor adaptability to parameter fluctuations. When the limestone slurry supply to the absorber tower cannot be automatically adjusted, operators must constantly monitor the changes in SO2 emission concentration at the desulfurization outlet and the fluctuations in the pH value of the absorber tower slurry. They must also frequently operate the slurry supply regulating valve to adjust the slurry supply to the absorber tower at any time, so as to control the pH value of the absorber tower slurry within a reasonable range and ensure that the SO2 emission at the desulfurization outlet meets the standards. Because the pH value fluctuates greatly in actual operation, the circulating pump must have sufficient redundancy to ensure that the emission meets the standards under various operating conditions. Ultimately, this results in problems such as high workload for existing operators, extensive operation and management of the desulfurization system, poor stability of the desulfurization system, and high energy consumption. Summary of the Invention

[0004] The purpose of this invention is to provide an automatic slurry supply method and system for a desulfurization system, so as to at least solve the above-mentioned problem of the inability to achieve precise automatic slurry supply to the absorption tower.

[0005] To achieve the above objectives, a first aspect of the present invention provides an automatic slurry supply method for a desulfurization system, comprising:

[0006] A mathematical calculation model is fitted based on a pre-established time database; the time database is established based on boiler desulfurization operation data.

[0007] Based on a time database, desulfurization slurry supply parameters are obtained using a mathematical calculation model. These parameters include the limestone slurry supply to the absorber, the predicted pH value of the absorber, and the opening degree of the slurry supply regulating valve.

[0008] Based on the desulfurization slurry supply parameters, a slurry supply control scheme is generated and executed.

[0009] Optionally, the above mathematical calculation models include a pH prediction model for the absorption tower, a limestone slurry supply calculation model for the absorption tower, and a slurry supply regulating valve opening calculation model.

[0010] The above-mentioned desulfurization slurry supply parameters, obtained using a mathematical calculation model based on a time database, include:

[0011] Based on the time database, the pH prediction value of the absorption tower is calculated using the pH prediction model of the absorption tower, and the limestone slurry supply of the absorption tower is calculated using the limestone slurry supply calculation model of the absorption tower.

[0012] The opening of the slurry supply regulating valve is obtained based on the calculation model of limestone slurry supply to the absorption tower and the opening of the slurry supply regulating valve.

[0013] Optionally, the process of establishing the above-mentioned time database includes:

[0014] Obtain boiler desulfurization operation data; including main unit load, main steam flow, flue gas volume, SO2 concentration at desulfurization inlet, SO2 concentration at desulfurization outlet, slurry supply flow to absorption tower, and pH value of absorption tower slurry;

[0015] Based on boiler desulfurization operation data, slurry variation parameters were obtained; these parameters include the pH fluctuation of the absorber tower and the actual slurry supply W to the absorber tower. g Theoretical consumption W of limestone slurry x ;

[0016] A time database is established based on preset time intervals and slurry variation parameters.

[0017] Optionally, the above mathematical calculation models include a pH prediction model for the absorption tower and a limestone slurry supply calculation model for the absorption tower;

[0018] The above-mentioned mathematical calculation model fitting based on a pre-established time database includes:

[0019] Based on slurry variation parameters in the time database, establish parameters for pH fluctuation in the absorption tower and actual slurry supply W in the absorption tower. gTheoretical consumption W of limestone slurry x Multiple functional relationships between them;

[0020] Based on multiple functional relationships, a pH prediction model for the absorption tower and a limestone slurry supply calculation model for the absorption tower are generated.

[0021] Optionally, the calculation formula for the above absorption tower pH prediction model is as follows:

[0022] pH T+t =f pH (pH T W g-T W x-T pH T-1 W g-T-1 W x-T-1 pH T-2 W g-T-2 W x-T-2 ,

[0023] pH T-3 W g-T-3 W x-T-3 pH T-4 W g-T-4 W x-T-4 ...);

[0024] Among them, pH T Let T be the pH value, and W be the pH value at time T. g-T W is the actual slurry supply to the absorber at time T. g W x-T W is the theoretical consumption of limestone slurry at time T. x pH T-t W represents the pH value of the preset time interval t before time T. g-T-t The actual slurry supply W of the absorber tower is the t-th segment of the preset time interval before time T. g W x-T-t The theoretical consumption W of limestone slurry for the preset time interval t before time T. x t = 1, 2, 3, 4..., pH T+t The pH prediction value is the preset time interval duration after time T.

[0025] Optionally, the calculation formula for the above-mentioned limestone slurry supply calculation model for the absorption tower is as follows:

[0026] W T =f W (pH T+t pH T W g-T W x-T pH T-1 W g-T-1 Wx-T-1 pH T-2 W g-T-2 ,

[0027] W x-T-2 pH T-3 W g-T-3 W x-T-3 pH T-4 W g-T-4 W x-T-4 ...);

[0028] Among them, pH T Let T be the pH value, and W be the pH value at time T. g-T W is the actual slurry supply to the absorber at time T. g W x-T W is the theoretical consumption of limestone slurry at time T. x W T Recommended slurry supply W at time T, pH T-t W represents the pH value of the preset time interval t before time T. g-T-t The actual slurry supply W of the absorber tower is the t-th segment of the preset time interval before time T. g W x-T-t The theoretical consumption W of limestone slurry for the preset time interval t before time T. x t = 1, 2, 3, 4..., pH T+t Let t be the pH value that needs to be controlled at time T, where t represents the lag time of the impact of slurry supply.

[0029] Optionally, the above-mentioned automatic slurry supply method for desulfurization systems also includes:

[0030] The theoretical consumption of limestone slurry is corrected based on the actual slurry supply of the absorption tower.

[0031] Optionally, the theoretical consumption of limestone slurry is corrected based on the actual slurry supply of the absorption tower, including:

[0032] The theoretical consumption of limestone slurry is corrected using a correction factor ξ; the formula for calculating the correction factor ξ is ξ = SUM(W g1 / 60+W g2 / 60+…) / SUM(W x1 / 60+W x2 / 60+…); where W gt To correct the actual slurry supply W of the absorber tower for the preset time interval of segment t in time period t. g W xt To correct the theoretical consumption W of limestone slurry for the preset time interval of segment t in time period t. x , t=1, 2, 3, 4...

[0033] Optionally, the above-mentioned slurry variation parameters, obtained based on boiler desulfurization operation data, include:

[0034] According to formula W x =Q q ×(σ i -σ o )×(1-λ q )×β×(100 / 64)×10^(-9)×ξ / (λ1×λ2×ρ)…, calculate the theoretical consumption W of limestone slurry. x ; where Q q To measure the amount of flue gas in a wet state, σ i To determine the inlet SO2 concentration under standard dry conditions, σ o Let β be the SO2 concentration at the outlet of the absorption tower under standard dry conditions, ρ be the Ca / S molar ratio, ρ be the density of the limestone slurry, λ1 be the concentration of the limestone slurry, and λ2 be the limestone content in the limestone raw material. q ξ represents the moisture content of the flue gas at the desulfurization inlet, and ξ is a correction factor.

[0035] Optionally, the acquisition of boiler desulfurization operation data mentioned above includes:

[0036] When the flue gas volume does not reach the preset standard value, the flue gas volume is fitted using the main steam flow rate.

[0037] Optionally, the above-mentioned mathematical calculation model fitting based on a pre-established time database includes:

[0038] Based on the feature parameters in the time database, multiple feature scenarios are determined; among them, the feature parameters include at least one or more of the following: pH value fluctuation characteristics and absorber tower liquid level.

[0039] Based on each characteristic scenario, a corresponding mathematical calculation model is established.

[0040] Optionally, the above-mentioned desulfurization slurry supply parameters, obtained using a mathematical calculation model based on a time database, include:

[0041] Match the corresponding mathematical calculation model based on the current operating scenario.

[0042] Optionally, the above-mentioned mathematical calculation model fitting based on a pre-established time database includes:

[0043] Based on a pre-established time database, matching and trial calculations are performed using multiple algorithm models to determine the mathematical calculation model; among them, the multiple algorithm models include at least one or more of the following: polynomial model, tree model algorithm, neural network algorithm, and genetic algorithm.

[0044] A second aspect of the present invention provides an automatic slurry supply system for a desulfurization system, comprising:

[0045] The model fitting module is used to perform mathematical calculations and model fitting based on a pre-established time database; the time database is established based on boiler desulfurization operation data.

[0046] The model calculation module is used to obtain desulfurization slurry supply parameters based on a time database and a mathematical calculation model. These parameters include the limestone slurry supply rate to the absorber, the predicted pH value of the absorber, and the opening degree of the slurry supply regulating valve.

[0047] The scheme generation module is used to generate and execute slurry supply control schemes based on desulfurization slurry supply parameters.

[0048] In a third aspect, the present invention provides a machine-readable storage medium storing instructions that, when executed by a processor, configure the processor to perform the aforementioned automatic slurry supply method for a desulfurization system.

[0049] In a fourth aspect of the present invention, an electronic device is provided, the electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described automatic slurry supply method for the desulfurization system.

[0050] The above technical solution provides an automatic slurry supply method and system for desulfurization systems. Based on a pre-established time database, it establishes several mathematical calculation models: a pH prediction model for the absorption tower, a limestone slurry supply calculation model for the absorption tower, and a slurry supply regulating valve opening calculation model. These mathematical models enable precise automatic slurry supply to the absorption tower, accurate pH control of the absorption tower slurry, and accurate pH prediction of the absorption tower slurry. This effectively solves the common problem of difficulty in achieving automatic slurry supply to absorption towers, thereby realizing automatic slurry supply to the absorption tower, improving the automation level of the desulfurization unit, and reducing the workload of operators. The system achieves precise pH control of the absorption tower slurry through precise automatic slurry supply, reducing disorderly pH fluctuations, improving the control accuracy of SO2 concentration at the desulfurization outlet, and further achieving energy-saving operation of the desulfurization system. By continuously incorporating the latest operating data and correcting the model algorithm in real time, the system achieves self-correction of the model algorithm. Furthermore, by combining multiple models in multiple scenarios, the adaptability of the absorption tower pH prediction model, the limestone slurry supply calculation model, and the slurry supply regulating valve opening calculation model is improved. It enables accurate prediction of pH in the absorber slurry. By analyzing the deviation between the predicted and measured pH values, it can anticipate potential pH meter malfunctions and improve the reliability of the desulfurization system.

[0051] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0052] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0053] Figure 1 This is a flowchart of an automatic slurry supply method for a desulfurization system provided in one embodiment of the present invention;

[0054] Figure 2 This is a schematic diagram illustrating the application environment of an automatic slurry supply method for a desulfurization system according to one embodiment of the present invention;

[0055] Figure 3 This is a flowchart of another automatic slurry supply method for a desulfurization system provided by one embodiment of the present invention;

[0056] Figure 4 This is a principle block diagram of an automatic slurry supply method for a desulfurization system provided by one embodiment of the present invention;

[0057] Figure 5 This is a block diagram of an automatic slurry supply system for a desulfurization system provided in one embodiment of the present invention;

[0058] Figure 6 This is a schematic diagram of an electronic device structure provided by a preferred embodiment of the present invention.

[0059] Explanation of reference numerals in the attached figures

[0060] 10-Electronic device, 100-Processor, 101-Memory, 102-Terminal, 103-Computer program, 104-Server. Detailed Implementation

[0061] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0062] Figure 1 This is a flowchart of an automatic slurry supply method for a desulfurization system according to one embodiment of the present invention. Figure 3 This is a flowchart of another automatic slurry supply method for a desulfurization system provided by one embodiment of the present invention. Figure 4 This is a principle block diagram of an automatic slurry supply method for a desulfurization system provided by one embodiment of the present invention. Figure 1 , Figure 3 and Figure 4 As shown, an embodiment of the present invention provides an automatic slurry supply method for a desulfurization system, comprising:

[0063] S110: Based on a pre-established time database, perform mathematical calculation model fitting; wherein, the time database is established based on boiler desulfurization operation data;

[0064] Specifically, based on boiler desulfurization operation data, a time database is established for the pH value of the absorption tower, the actual slurry supply Wg of the actual absorption tower, and the theoretical consumption of limestone slurry Wx. The time interval of this database is based on the duration of S. By observing or analyzing the database, the lag time t (minutes) of the impact of slurry supply on pH fluctuations is determined. That is, the current change in slurry supply can only affect the pH value after time t.

[0065] In some embodiments of this example, the mathematical calculation model includes an absorption tower pH prediction model and an absorption tower limestone slurry supply calculation model; the above-mentioned fitting of the mathematical calculation model based on a pre-established time database includes: establishing the absorption tower pH fluctuation and the actual absorption tower slurry supply W based on the slurry change parameters in the time database. g Theoretical consumption W of limestone slurry x Multiple functional relationships between them; based on these relationships, a pH prediction model for the absorption tower and a limestone slurry supply calculation model for the absorption tower are generated.

[0066] Specifically, based on a time database and data processing of boiler desulfurization operation data, a functional relationship y = f1(x) is established between the pH fluctuation of the absorber tower and the actual limestone slurry supply Wg and the theoretical limestone slurry consumption Wx. Simultaneously, a functional relationship y = f2(x) is established between the actual limestone slurry supply Wg, the theoretical limestone slurry consumption Wx, and the pH fluctuation of the absorber tower. Based on the function y = f1(x), a mathematical calculation model for pH prediction, y = f2(x), is generated. pH (x), based on the function y=f2(x), the slurry supply W is established according to the pH control requirements. x Mathematical calculation model y = f W (x). For example, the independent variables of y = f1(x) are the actual slurry supply to the absorption tower and the theoretical consumption of limestone slurry, the dependent variable of y = f1(x) is the pH fluctuation of the absorption tower, the independent variable of y = f2(x) is the pH fluctuation of the absorption tower, and the dependent variables of y = f2(x) are the actual slurry supply to the absorption tower and the theoretical consumption of limestone slurry.

[0067] In some embodiments of this example, the calculation formula for the pH prediction model of the absorption tower described above is as follows: pH T+t =f pH (pH T W g-T W x-T pH T-1 W g-T-1 W x-T-1 pHT-2 W g-T-2 W x-T-2 pH T-3 W g-T-3 W x-T-3 pH T-4 W g-T-4 W x-T-4 ...); where pH T Let T be the pH value, and W be the pH value at time T. g-T W is the actual slurry supply to the absorber at time T. g W x-T W is the theoretical consumption of limestone slurry at time T. x pH T-t W represents the pH value of the preset time interval t before time T. g-T-t The actual slurry supply W of the absorber tower is the t-th segment of the preset time interval before time T. g W x-T-t The theoretical consumption W of limestone slurry for the preset time interval t before time T. x t = 1, 2, 3, 4..., pH T+t The pH prediction value is the preset time interval duration after time T.

[0068] In some embodiments of this example, the calculation formula for the limestone slurry supply calculation model of the above-mentioned absorption tower is as follows: W T =f W (pH T+t pH T W g-T W x-T pH T-1 W g-T-1 W x-T-1 pH T-2 W g-T-2 W x-T-2 pH T-3 W g-T-3 W x-T-3 pH T-4 W g-T-4 W x-T-4 ...); where pH T Let T be the pH value, and W be the pH value at time T. g-T W is the actual slurry supply to the absorber at time T. g W x-T W is the theoretical consumption of limestone slurry at time T. x W T Recommended slurry supply W at time T, pH T-t W represents the pH value of the preset time interval t before time T. g-T-t The actual slurry supply W of the absorber tower is the t-th segment of the preset time interval before time T.g W x-T-t The theoretical consumption W of limestone slurry for the preset time interval t before time T. x t = 1, 2, 3, 4..., pH T+t Let t be the pH value that needs to be controlled at time T, where t represents the lag time of the impact of slurry supply.

[0069] In some embodiments of this example, the above-mentioned fitting of mathematical calculation models based on a pre-established time database includes: determining multiple characteristic scenarios according to the characteristic parameters in the time database; wherein the characteristic parameters include at least one or more of pH value fluctuation characteristics and absorption tower liquid level; and establishing corresponding mathematical calculation models based on each characteristic scenario.

[0070] Specifically, by establishing corresponding mathematical calculation models for different operating scenarios, we can achieve real-time precise automatic slurry supply to the absorption tower, precise pH control of the absorption tower slurry, and accurate pH prediction of the absorption tower slurry.

[0071] In some implementations of this embodiment, the above-mentioned method of obtaining desulfurization slurry supply parameters based on a time database and using a mathematical calculation model includes: matching the corresponding mathematical calculation model according to the current operating scenario.

[0072] In some embodiments of this example, the above-mentioned fitting of mathematical calculation models based on a pre-established time database includes: performing matching trials using multiple algorithm models based on the pre-established time database to determine the mathematical calculation model; wherein, the multiple algorithm models include at least one or more of polynomial models, tree model algorithms, neural network algorithms, and genetic algorithms.

[0073] Specifically, to ensure the accuracy of the absorption tower pH prediction model and the absorption tower limestone slurry supply calculation model, different operating scenarios can be established based on pH fluctuation characteristics, absorption tower liquid level, and other features. These scenarios include detailed scenarios such as rapid pH rise, rapid pH fall, and gradual pH fluctuation. For each scenario, a separate pH prediction model and a limestone slurry supply calculation model can be established. The mathematical models can be matched and tested using different algorithms such as polynomials, tree models, neural networks, and genetic algorithms to find the most reasonable algorithm. In actual operation, the current operating scenario is compared with a predefined scenario, and the mathematical model closest to the predefined scenario is used for the corresponding calculation, thereby accurately calculating the absorption tower pH prediction value and the absorption tower limestone slurry supply based on future pH control requirements.

[0074] In some embodiments of this example, the process of establishing the aforementioned time database includes: acquiring boiler desulfurization operation data; wherein, the boiler desulfurization operation data includes the main unit load, main steam flow rate, flue gas volume, SO2 concentration at the desulfurization inlet, SO2 concentration at the desulfurization outlet, slurry supply flow rate of the absorber tower, and pH value of the absorber tower slurry; based on the boiler desulfurization operation data, obtaining slurry variation parameters; wherein, the slurry variation parameters include the pH fluctuation of the absorber tower and the actual slurry supply W of the absorber tower. g Theoretical consumption W of limestone slurry x A time database is established based on preset time intervals and slurry variation parameters.

[0075] Specifically, based on the time dimension, the current and past operating data of the desulfurization system and host are obtained, including unit load, main steam flow, flue gas volume, SO2 concentration at the desulfurization inlet, SO2 concentration at the desulfurization outlet, slurry supply flow rate of the absorption tower, and pH value of the absorption tower slurry. Data collection should adopt a unified duration standard, while taking into account the workload of calculation. Each duration S can adopt different duration standards such as 30 seconds or 1 minute to form a time database with duration S intervals (i.e., preset time intervals).

[0076] Before using the data, erroneous data should be cleaned according to the characteristics of historical operation range and fluctuation. To facilitate data processing and analysis, data collection should adopt a unified duration standard, while taking into account the workload of calculation. Each duration S can adopt different duration standards such as 30 seconds or 1 minute to form a time database with duration S intervals.

[0077] In data processing, for frequently fluctuating data such as the actual limestone slurry supply flow rate of the absorption tower, data can be collected at a frequency of seconds (1 second, 5 second, or 10 second intervals, etc.). After data cleaning, the data within a time interval of S is averaged and converted into data with intervals of S. For data with small fluctuations, such as unit load, flue gas volume, SO2 concentration at the desulfurization inlet, and SO2 concentration at the desulfurization outlet, data are also converted into data with intervals of S.

[0078] In data processing, multi-point measurement data needs to be optimized into a single parameter, such as pH value. After data cleaning, the averaging method can be used. When the number of measurement points is greater than 2, the maximum deviation value can be removed before averaging.

[0079] In the above implementation process, operating parameter data such as boiler and desulfurization system unit load, flue gas volume, desulfurization inlet SO2 concentration, desulfurization outlet SO2 concentration, and absorber slurry pH value are acquired at 1-minute intervals to establish a time database. Absorber slurry supply flow rate is acquired at 5-second intervals, and the average absorber slurry supply flow rate over the minutes is averaged to form a minute-level average absorber slurry supply flow rate. Based on these data, the theoretical consumption of limestone slurry is generated. These operating parameters can be collected through a DCS (Distributed Control System), SIS (Information Management System), or a data lake.

[0080] In some embodiments of this example, the above-mentioned automatic slurry supply method for the desulfurization system further includes:

[0081] The theoretical consumption of limestone slurry is corrected based on the actual slurry supply of the absorption tower.

[0082] In some embodiments of this example, the above-mentioned correction of the theoretical consumption of limestone slurry based on the actual slurry supply of the absorption tower includes:

[0083] The theoretical consumption of limestone slurry is corrected using a correction factor ξ; the formula for calculating the correction factor ξ is ξ = SUM(W g1 / 60+W g2 / 60+…) / SUM(W x1 / 60+W x2 / 60+…); where W gt To correct the actual slurry supply W of the absorber tower for the preset time interval of segment t in time period t. g W xt To correct the theoretical consumption W of limestone slurry for the preset time interval of segment t in time period t. x , t=1, 2, 3, 4...

[0084] Specifically, in actual operation, fluctuations occur due to various factors such as the concentration of limestone slurry and the limestone content in the raw materials. To ensure that the theoretical consumption of limestone slurry is close to the actual consumption, the theoretical consumption needs to be corrected. By substituting the correction coefficient ξ, the theoretical consumption of limestone slurry is corrected in real time, achieving a close match between the theoretical and actual consumption, thereby improving the accuracy of the mathematical model calculation. The correction method adjusts the theoretical consumption of limestone slurry based on the actual slurry supply, that is, by dividing the total actual slurry supply over a certain period by the total theoretical consumption. Simultaneously, the pH difference between the beginning and end of this period is small, and the pH fluctuation scenarios are similar.

[0085] It should be noted that, in order to ensure the accuracy of the correction coefficient ξ, the correction period should not be too short, and should be no less than 2 hours. Alternatively, the previous day can be used as a correction period. If a large deviation is found, the latest data can be used for immediate correction.

[0086] In some embodiments of this example, the above-mentioned method of obtaining slurry variation parameters based on boiler desulfurization operation data includes: according to formula W x =Q q ×(σ i -σ o )×(1-λ q )×β×(100 / 64)×10^(-9)×ξ / (λ1×λ2×ρ)…, calculate the theoretical consumption W of limestone slurry. x ; where Q q To measure the amount of flue gas in a wet state, σ i To determine the inlet SO2 concentration under standard dry conditions, σ o Let β be the SO2 concentration at the outlet of the absorption tower under standard dry conditions, ρ be the Ca / S molar ratio, ρ be the density of the limestone slurry, λ1 be the concentration of the limestone slurry, and λ2 be the limestone content in the limestone raw material. q Let ξ be the moisture content of the flue gas at the desulfurization inlet, and ξ be a correction coefficient. The theoretical consumption W of limestone slurry can then be calculated using boiler desulfurization operation data. x .

[0087] Where ρ is taken as a conventional value of 1.2t / m 3 λ1 is taken as 25% of the normal value, λ2 is taken as 90% of the normal value, λ q Take 8.5% of the original design value.

[0088] Specifically, the main reason for the pH fluctuation of the absorber slurry is the actual limestone slurry supply W to the absorber. g There is a discrepancy between the actual limestone supply and the actual consumption. When the actual limestone supply is close to the actual consumption, the pH value will fluctuate slightly. When the actual limestone supply is greater than the actual consumption, the pH value will increase. When the actual limestone supply is less than the actual consumption, the pH value will decrease. During the operation of the absorption tower, the actual limestone supply W... g Limestone slurry consumption W x Frequent deviations can cause pH values ​​to fluctuate. Factors such as the limestone dissolution rate during slurry supply to the absorber, the SO2 absorption rate in the flue gas, and measurement lag caused by the location of the absorber slurry pH measurement can all contribute to this lag. The lag time can be determined by analyzing the slurry supply rate and pH fluctuation data. The actual limestone slurry supply to the absorber can be directly read from the slurry flow meter. The theoretical consumption of limestone slurry cannot be directly obtained but can be calculated using the formula W. x =Q q ×(σ i -σ o )×(1-λ q We obtain )×β×(100 / 64)×10^(-9)×ξ / (λ1×λ2×ρ)…

[0089] In some embodiments of this example, the above-mentioned acquisition of boiler desulfurization operation data includes: when the flue gas volume does not reach the preset standard value, fitting the flue gas volume using the main steam flow rate.

[0090] Specifically, in actual operation, the standard wet flue gas volume Q q Measured values ​​often have large deviations. If the measured flue gas volume is accurate, the measured value can be used. If the flue gas volume measurement is inaccurate, the main steam flow rate Q designed under the main operating conditions of the boiler can be used instead. Z The original boiler flue gas volume design value, boiler coal consumption, and other data are used to calculate the flue gas volume Q. q Fitting is performed to form a standard wet flue gas quantity Q that is fitted by the main steam flow rate. q The fitting formula is derived, which forms the standard wet flue gas volume calculation formula: Q q =f q (Q Z ).

[0091] S120: Based on a time database, desulfurization slurry supply parameters are obtained using a mathematical calculation model; among them, the desulfurization slurry supply parameters include the limestone slurry supply to the absorption tower, the predicted pH value of the absorption tower, and the opening degree of the slurry supply regulating valve;

[0092] Specifically, the limestone slurry supply to the absorption tower, the predicted pH value of the absorption tower, and the opening degree of the slurry supply regulating valve are calculated through a mathematical calculation model, thereby achieving precise control of the limestone slurry supply and pH of the absorption tower.

[0093] In some embodiments of this example, the mathematical calculation model includes an absorption tower pH prediction model, an absorption tower limestone slurry supply calculation model, and a slurry supply regulating valve opening calculation model. The method of obtaining desulfurization slurry supply parameters based on a time database using the mathematical calculation model includes: calculating the absorption tower pH prediction value using the absorption tower pH prediction model based on the time database; calculating the absorption tower limestone slurry supply volume using the absorption tower limestone slurry supply calculation model; and obtaining the slurry supply regulating valve opening based on the absorption tower limestone slurry supply volume and the slurry supply regulating valve opening calculation model.

[0094] In some embodiments of this example, a function relating the slurry supply regulating valve opening to the slurry supply flow rate is established based on historical operating data. The valve opening is automatically adjusted according to the recommended slurry supply value W, thereby achieving automatic slurry supply to the absorption tower and precise pH control of the absorption tower slurry. If the relationship between the slurry supply regulating valve opening and the limestone slurry supply fluctuates significantly, the slurry supply regulating valve opening is directly adjusted based on the calculated limestone slurry supply to the absorption tower. That is, when the current slurry supply is less than the limestone slurry supply to the absorption tower calculated by the model, the slurry supply regulating valve opening is increased to obtain a minute average value consistent with the limestone slurry supply to the absorption tower calculated by the model, and vice versa.

[0095] S130: Generate and execute a slurry supply control scheme based on desulfurization slurry supply parameters.

[0096] For example, a corresponding instruction is generated based on the opening degree of the slurry supply regulating gate in the desulfurization slurry supply parameters and transmitted to the DCS. The DCS then issues the instruction to the slurry supply regulating gate, thereby realizing the automatic control of the slurry supply regulating gate.

[0097] In the above implementation process, this method establishes several mathematical calculation models based on an operational database including unit load, flue gas volume, SO2 concentration at the desulfurization inlet, SO2 concentration at the desulfurization outlet, absorber slurry flow rate, and absorber slurry pH value. These models include an absorber slurry pH prediction model, an absorber limestone slurry supply calculation model, and a slurry regulating valve opening calculation model. Through these mathematical models, precise automatic slurry supply, accurate pH control, and accurate pH prediction of the absorber slurry are achieved. This effectively solves the common problem of difficulty in achieving automatic slurry supply in absorber towers, thereby realizing automatic slurry supply, improving the automation level of the desulfurization unit, and reducing the workload of operators. Furthermore, this method achieves precise pH control of the absorber slurry through precise automatic slurry supply, reducing disorderly pH fluctuations, improving the control accuracy of SO2 concentration at the desulfurization outlet, and further realizing energy-saving operation of the desulfurization system. By continuously incorporating the latest operational data and revising the model algorithm in real time, the model algorithm achieves self-correction. Furthermore, by combining multiple models across various scenarios, the adaptability of the absorber pH prediction model, the absorber limestone slurry supply calculation model, and the slurry supply regulating valve opening calculation model are improved. This enables accurate pH prediction of the absorber slurry, and by analyzing the deviation between the predicted and measured pH values, potential pH meter malfunctions can be anticipated in advance, improving the reliability of the desulfurization system.

[0098] The application environment of this method is as follows: Figure 2 As shown. Terminal 102 communicates with server 104 via a network. Terminal 102 can be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. Server 104 can be a standalone server or a server cluster consisting of multiple servers.

[0099] Figure 5 This is a block diagram of an automatic slurry supply system for a desulfurization system provided in one embodiment of the present invention. Figure 5 As shown, an embodiment of the present invention provides an automatic slurry supply system for a desulfurization system, comprising:

[0100] The model fitting module is used to perform mathematical calculations and model fitting based on a pre-established time database; the time database is established based on boiler desulfurization operation data.

[0101] The model calculation module is used to obtain desulfurization slurry supply parameters based on a time database and a mathematical calculation model. These parameters include the limestone slurry supply rate to the absorber, the predicted pH value of the absorber, and the opening degree of the slurry supply regulating valve.

[0102] The scheme generation module is used to generate and execute slurry supply control schemes based on desulfurization slurry supply parameters.

[0103] In the aforementioned implementation process, the system establishes several mathematical calculation models based on a pre-established time database, including a pH prediction model for the absorption tower, a limestone slurry supply calculation model for the absorption tower, and a slurry supply regulating valve opening calculation model. These mathematical models enable precise automatic slurry supply to the absorption tower, accurate pH control of the absorption tower slurry, and precise pH prediction of the absorption tower slurry. This effectively solves the common problem of difficulty in achieving automatic slurry supply to absorption towers, thereby realizing automatic slurry supply, improving the automation level of the desulfurization unit, and reducing the workload of operators. The system achieves precise pH control of the absorption tower slurry through precise automatic slurry supply, reducing disorderly fluctuations in the absorption tower slurry pH, improving the control accuracy of SO2 concentration at the desulfurization outlet, and further realizing energy-saving operation of the desulfurization system. By continuously incorporating the latest operating data and correcting the model algorithm in real time, the system achieves self-correction of the model algorithm. Furthermore, by combining multiple models in multiple scenarios, the adaptability of the absorption tower pH prediction model, the limestone slurry supply calculation model, and the slurry supply regulating valve opening calculation model is improved. It enables accurate prediction of pH in the absorber slurry. By analyzing the deviation between the predicted and measured pH values, it can anticipate potential pH meter malfunctions and improve the reliability of the desulfurization system.

[0104] The present invention also provides a machine-readable storage medium storing instructions that, when executed by a processor 100, configure the processor 100 to perform the above-described automatic slurry supply method for a desulfurization system.

[0105] Machine-readable storage media include both permanent and non-permanent, removable and non-removable media, which can store information by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0106] The present invention also provides an electronic device 10, which includes a memory 101, a processor 100, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, it implements the above-described automatic slurry supply method for the desulfurization system.

[0107] like Figure 6 The diagram shown is a schematic representation of an electronic device according to an embodiment of the present invention. Figure 6 As shown, the electronic device 10 of this embodiment includes a processor 100, a memory 101, and a computer program 102 stored in the memory 101 and executable on the processor 100. When the processor 100 executes the computer program 102, it implements the steps in the method embodiment described above. Alternatively, when the processor 100 executes the computer program 102, it implements the functions of each module / unit in the device embodiment described above.

[0108] For example, computer program 102 can be divided into one or more modules / units, one or more of which are stored in memory 101 and executed by processor 100 to complete the present invention. One or more modules / units can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of computer program 102 in electronic device 10. For example, computer program 102 can be divided into a model fitting module, a model calculation module, and a scheme generation module.

[0109] Electronic device 10 can be a desktop computer, laptop, handheld computer, cloud server, or other computing device. Electronic device 10 may include, but is not limited to, processor 100 and memory 101. Those skilled in the art will understand that... Figure 6 This is merely an example of electronic device 10 and does not constitute a limitation on electronic device 10. It may include more or fewer components than shown, or combine certain components, or different components. For example, electronic device may also include input / output devices, network access devices, buses, etc.

[0110] The processor 100 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0111] The memory 101 can be an internal storage unit of the electronic device 10, such as a hard disk or RAM of the electronic device 10. The memory 101 can also be an external storage device of the electronic device 10, such as a plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card equipped on the electronic device 10. Furthermore, the memory 101 can include both internal and external storage units of the electronic device 10. The memory 101 is used to store computer programs and other programs and data required by the electronic device 10. The memory 101 can also be used to temporarily store data that has been output or will be output.

[0112] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0113] Those skilled in the art will understand that embodiments of this application can be provided as a method, system, or computer program 102 product. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program 102 product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program 102 products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program 102 instructions. These computer program 102 instructions can be provided to a processor 100 of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor 100 of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0115] These computer program 102 instructions may also be stored in a computer-readable storage medium 101 that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium 101 produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0116] These computer program 102 instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0117] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0118] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. An automatic slurry supply method for a desulfurization system, characterized in that, include: A mathematical calculation model is fitted based on a pre-established time database; wherein the time database is established based on boiler desulfurization operation data, and the mathematical calculation model includes an absorption tower. Predictive model and calculation model for limestone slurry supply to the absorption tower; Based on the aforementioned time database, desulfurization slurry supply parameters are obtained using a mathematical calculation model; wherein, the desulfurization slurry supply parameters include the limestone slurry supply to the absorption tower, the absorption tower... Predicted values ​​and slurry supply regulating valve opening; Based on the aforementioned desulfurization slurry supply parameters, a slurry supply control scheme is generated and executed; The process of establishing the time database includes: Acquire boiler desulfurization operation data; wherein, the boiler desulfurization operation data includes main unit load, main steam flow, flue gas volume, and desulfurization inlet. Concentration, desulfurization outlet Concentration, slurry supply flow rate of the absorber and slurry in the absorber value; Based on the boiler desulfurization operation data, slurry variation parameters were obtained; wherein, the slurry variation parameters include the absorption tower... Value fluctuation, actual slurry supply of the absorption tower Theoretical consumption W of limestone slurry x ; A time database is established based on preset time intervals and the slurry change parameters; The process of fitting a mathematical calculation model based on a pre-established time database includes: Based on the slurry variation parameters in the time database, an absorption tower was established. Value fluctuation, actual slurry supply of the absorption tower Theoretical consumption W of limestone slurry x Multiple functional relationships between them; Based on the aforementioned multiple functional relationships, an absorption tower is generated. Predictive model and calculation model for limestone slurry supply to the absorption tower; The absorption tower The calculation formula for the prediction model is as follows: Among them, pH T At time T value, The actual slurry supply of the absorber at time T. W x-T W is the theoretical consumption of limestone slurry at time T. x pH T-t The preset time interval length for the t-th segment before time T. value, The actual slurry supply of the absorber tower is the amount of slurry supplied during the preset time interval t before time T. , The theoretical consumption W of limestone slurry for the preset time interval t before time T. x t=1, 2, 3, 4..., pH T+t The preset time interval length for the t-th segment after time T. Predicted value; The calculation formula for the limestone slurry supply model of the absorption tower is as follows: Among them, pH T At time T value, The actual slurry supply of the absorber at time T. W x-T W is the theoretical consumption of limestone slurry at time T. x W T Recommended slurry supply W at time T, pH T-t The preset time interval length for the t-th segment before time T. value, The actual slurry supply of the absorber tower is the amount of slurry supplied during the preset time interval t before time T. W x-T-t The theoretical consumption W of limestone slurry for the preset time interval t before time T. x t=1, 2, 3, 4..., pH T+t The control required at minute t after time T. The value t represents the lag time of the impact of slurry supply.

2. The automatic slurry supply method for a desulfurization system according to claim 1, characterized in that, The mathematical calculation model includes an absorption tower. Prediction model, limestone slurry supply calculation model for absorption tower, and slurry supply regulating valve opening calculation model; The process of obtaining desulfurization slurry supply parameters based on the time database and using a mathematical calculation model includes: Based on the aforementioned time database, using the absorption tower The predictive model calculates the absorption tower The predicted value is obtained by calculating the limestone slurry supply of the absorption tower using a limestone slurry supply calculation model. Based on the calculation model of limestone slurry supply and slurry supply regulating valve opening of the absorption tower, the slurry supply regulating valve opening is obtained.

3. The automatic slurry supply method for a desulfurization system according to claim 1, characterized in that, Also includes: The theoretical consumption of limestone slurry is corrected based on the actual slurry supply of the absorption tower.

4. The automatic slurry supply method for a desulfurization system according to claim 3, characterized in that, The correction of the theoretical consumption of limestone slurry based on the actual slurry supply of the absorption tower includes: Using correction coefficients The theoretical consumption of limestone slurry is corrected; where the correction coefficient is... The calculation formula is ;in, To correct the actual slurry supply of the absorber during the preset time interval t in time period t. W xt To correct the theoretical consumption W of limestone slurry for the preset time interval of segment t in time period t. x , t=1, 2, 3, 4...

5. The automatic slurry supply method for a desulfurization system according to claim 4, characterized in that, The process of obtaining slurry variation parameters based on the boiler desulfurization operation data includes: According to the formula Calculate the theoretical consumption W of limestone slurry. x ; where Q q To measure the amount of flue gas in a wet state, For the standard dry state inlet concentration, For the dry state of the absorber tower outlet concentration, The Ca / S molar ratio, The density of limestone slurry, The concentration of limestone slurry. The limestone content in the limestone raw material. The moisture content of the flue gas at the desulfurization inlet. This is a correction factor.

6. The automatic slurry supply method for a desulfurization system according to claim 1, characterized in that, The acquisition of boiler desulfurization operation data includes: When the flue gas volume does not reach the preset standard value, the flue gas volume is fitted using the main steam flow rate.

7. The automatic slurry supply method for a desulfurization system according to claim 1, characterized in that, The process of fitting a mathematical calculation model based on a pre-established time database includes: Based on the feature parameters in the time database, multiple feature scenarios are determined; wherein, the feature parameters include at least one or more of pH value fluctuation characteristics and absorber tower liquid level. Based on each characteristic scenario, a corresponding mathematical calculation model is established.

8. The automatic slurry supply method for a desulfurization system according to claim 7, characterized in that, The process of obtaining desulfurization slurry supply parameters based on the time database and using a mathematical calculation model includes: Match the corresponding mathematical calculation model based on the current operating scenario.

9. The automatic slurry supply method for a desulfurization system according to claim 1, characterized in that, The process of fitting a mathematical calculation model based on a pre-established time database includes: Based on a pre-established time database, matching trials are performed using multiple algorithm models to determine the mathematical calculation model; wherein, the multiple algorithm models include at least one or more of the following: polynomial model, tree model algorithm, neural network algorithm, and genetic algorithm.

10. An automatic slurry supply system for a desulfurization system, characterized in that, include: The model fitting module is used to fit a mathematical calculation model based on a pre-established time database; wherein the time database is established based on boiler desulfurization operation data, and the mathematical calculation model includes an absorption tower. Predictive model and calculation model for limestone slurry supply to the absorption tower; The model calculation module is used to obtain desulfurization slurry supply parameters based on the time database and using a mathematical calculation model; wherein, the desulfurization slurry supply parameters include the limestone slurry supply rate to the absorption tower, the absorption tower... Predicted values ​​and slurry supply regulating valve opening; The scheme generation module is used to generate and execute a slurry supply control scheme based on the desulfurization slurry supply parameters; The process of establishing the time database includes: Acquire boiler desulfurization operation data; wherein, the boiler desulfurization operation data includes main unit load, main steam flow, flue gas volume, and desulfurization inlet. Concentration, desulfurization outlet Concentration, slurry supply flow rate of the absorber and slurry in the absorber value; Based on the boiler desulfurization operation data, slurry variation parameters were obtained; wherein, the slurry variation parameters include the absorption tower... Value fluctuation, actual slurry supply of the absorption tower Theoretical consumption W of limestone slurry x ; A time database is established based on preset time intervals and the slurry change parameters; The process of fitting a mathematical calculation model based on a pre-established time database includes: Based on the slurry variation parameters in the time database, an absorption tower was established. Value fluctuation, actual slurry supply of the absorption tower Theoretical consumption W of limestone slurry x Multiple functional relationships between them; Based on the aforementioned multiple functional relationships, an absorption tower is generated. Predictive model and calculation model for limestone slurry supply to the absorption tower; The absorption tower The calculation formula for the prediction model is as follows: Among them, pH T At time T value, The actual slurry supply to the absorber at time T. W x-T W is the theoretical consumption of limestone slurry at time T. x pH T-t The preset time interval length for the t-th segment before time T. value, The actual slurry supply of the absorber tower is the amount of slurry supplied during the preset time interval t before time T. , The theoretical consumption W of limestone slurry for the preset time interval t before time T. x t=1, 2, 3, 4..., pH T+t The preset time interval length for the t-th segment after time T. Predicted value; The calculation formula for the limestone slurry supply model of the absorption tower is as follows: Among them, pH T At time T value, The actual slurry supply to the absorber at time T. W x-T W is the theoretical consumption of limestone slurry at time T. x W T Recommended slurry supply W at time T, pH T-t The preset time interval length for the t-th segment before time T. value, The actual slurry supply of the absorber tower is the amount of slurry supplied during the preset time interval t before time T. W x-T-t The theoretical consumption W of limestone slurry for the preset time interval t before time T. x t=1, 2, 3, 4..., pH T+t The control required at minute t after time T. The value t represents the lag time of the impact of slurry supply.

11. A machine-readable storage medium storing instructions thereon, characterized in that, When executed by the processor, the instruction causes the processor to be configured to perform the automatic slurry supply method for the desulfurization system as described in any one of claims 1 to 9.

12. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the automatic slurry supply method for the desulfurization system as described in any one of claims 1 to 9.

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