Compensation method and device based on mathematical model calculation of desulfurization slurry ph value control

Abstract

The application discloses a mathematical model calculation compensation method based on desulfurization slurry PH value control, which comprises the following steps: obtaining first operation data and second operation data according to the gypsum slurry pump and the desulfurization operation condition; taking the deviation of the first operation data from the gypsum slurry PH set value as a first input variable, taking the deviation of the second operation data from the gypsum slurry pump outlet pressure set value as a second input variable, and calculating the mathematical model between the slurry supply flow of the absorption tower and the gypsum slurry PH value by the least square method; and taking the set gypsum slurry pump outlet pressure value and the deviation of the second operation data from the mapping compensation relationship of different mathematical models as the second input variable; and controlling the opening time of the gypsum slurry supply flow regulating valve through the first input variable and the second input variable to realize the control of the desulfurization slurry PH value. The method can completely compensate the interference influence of the measured absorption tower slurry supply flow, improve the rapidity and stability of the regulating system, and realize good control effect.

Description

Technical Field

[0001] This invention relates to the technical field of slurry supply control, and in particular to a mathematical model calculation compensation method and apparatus based on pH control of desulfurized slurry. Background Technology

[0002] The existing pH control of desulfurization gypsum slurry in thermal power plants is a traditional cascade control system. The difference between the set pH value and the actual pH value of the gypsum slurry is fed into the main PID controller. The output command of the main controller is fed into the secondary PID controller after the difference between the output command and the control flow rate of the limestone slurry. The secondary controller outputs the control command to the slurry supply valve to realize the control of the pH value of the desulfurization gypsum slurry.

[0003] The pH value of the gypsum slurry in the desulfurization absorption tower of a thermal power plant affects desulfurization efficiency, the calcium / sulfur ratio, limestone utilization, and gypsum quality. A higher pH value generally leads to higher desulfurization efficiency, but also indicates a higher limestone concentration in the slurry, which is beneficial for SO2 absorption. To ensure a high SO2 absorption rate, the pH value must be increased. However, a high pH value means increased limestone consumption and an increased calcium carbonate content in the gypsum, resulting in lower gypsum purity. Therefore, the pH value of the gypsum slurry in the desulfurization absorption tower must be kept stable within a certain range. Research has revealed that pH control of the desulfurization gypsum slurry in thermal power plants is a process with significant inertia, pure delay, and nonlinearity. Cascade control systems have poor pH adjustment effects, often relying on manual adjustments by operators based on experience, which affects desulfurization efficiency and leads to high workload and low efficiency for operators. Summary of the Invention

[0004] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0005] In view of the aforementioned existing problems, the present invention is proposed.

[0006] Therefore, this invention provides a mathematical model calculation compensation method and device based on desulfurization slurry pH control to solve the problems of large inertia, pure time delay and nonlinearity in existing pH control systems.

[0007] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0008] In a first aspect, embodiments of the present invention provide a mathematical model-based compensation method for desulfurization slurry pH control, comprising:

[0009] First and second operating data were obtained based on the gypsum slurry pump and desulfurization operating conditions.

[0010] The deviation between the first operating data and the pH setting value of the gypsum slurry is used as the first input variable. Based on the deviation between the second operating data and the outlet pressure setting value of the gypsum slurry pump, a mathematical model between the slurry supply flow rate of the absorption tower and the pH value of the gypsum slurry is constructed using the least squares computer group.

[0011] The deviation between the set gypsum slurry pump outlet pressure value and the second operating data and the mapping compensation relationship with different mathematical models are used as the second input variable;

[0012] The control model controls the opening time of the gypsum slurry flow regulating valve through the first and second input variables, thereby controlling the pH value of the desulfurization slurry.

[0013] As a preferred embodiment of the mathematical model calculation compensation method based on pH control of desulfurization slurry described in this invention, wherein:

[0014] The first set of operating data includes: total sulfur dioxide, boiler load, pH value of slurry in the absorption tower, standard concentration of sulfur dioxide in the clean flue gas, and rate of change of standard concentration of sulfur dioxide;

[0015] The second set of operating data includes: limestone consumption of the absorption tower and boiler load change rate.

[0016] As a preferred embodiment of the mathematical model calculation compensation method based on desulfurization slurry pH control described in this invention, wherein: the deviation between the first operating data and the pH set value of gypsum slurry is used as the first input variable, including: calculating the pH value of the absorption tower gypsum slurry based on the first operating data and inputting it into the analog quantity switching selection algorithm, and the pH set value of the absorption tower gypsum slurry is input by the manual customizer algorithm;

[0017] The deviation between the given pH value of the gypsum slurry and the measured pH value of the gypsum slurry is used as the first input variable of the control model, and the proportional-integral-derivative regulator algorithm outputs the required amount of influence of the gypsum slurry.

[0018] As a preferred embodiment of the mathematical model calculation and compensation method based on the pH control of desulfurization slurry described in this invention, the mathematical model relating the slurry supply flow rate of the absorption tower and the pH value of the gypsum slurry, calculated using the least squares method, includes:

[0019] The least squares method calculation is expressed as:

[0020]

[0021] Where P represents the outlet pressure data of the gypsum slurry pump, and V ZThis represents the gypsum slurry concentration data, where w represents the control model for the gypsum slurry pump outlet pressure and gypsum slurry concentration. This represents the convolution matrix of gypsum slurry concentration data. Representation matrix transpose, d P This represents a matrix of data on the outlet pressure of gypsum slurry pumps. and d P The matrix arrangement is based on the definition of a general convolution matrix equation.

[0022] As a preferred embodiment of the mathematical model calculation compensation method based on pH control of desulfurization slurry described in this invention, it further includes:

[0023] The gypsum slurry pump outlet pressure data is the difference between the set value of the gypsum slurry pump outlet pressure and the actual value of the limestone slurry pump outlet pressure.

[0024] As a preferred embodiment of the mathematical model calculation compensation method based on pH control of desulfurization slurry described in this invention, the mapping compensation relationship with different mathematical models, as the second input variable, includes:

[0025] The difference between the set value of the gypsum slurry pH value in the first mapping list and the measured value of the gypsum slurry pH value in the first mapping model is denoted as X = (x1, x2, x3, ..., x n The difference between the setpoint and the measured outlet pressure of the gypsum slurry pump in the first mapping list corresponding to it is denoted as Y = (y1, y2, y3, ..., y n The mapping relationship between the two is denoted as the mapping function Y = G(X), where n is the number of measurements performed by the measuring transmitter under the first operating condition.

[0026] In the second mapping model, the difference between the set value of the gypsum slurry pH value in the second mapping list and the measured value of the gypsum slurry pH value is denoted as P = (p1, p2, p3, ..., p m The difference between the setpoint and the measured outlet pressure of the gypsum slurry pump in the corresponding second mapping list is denoted as Q = (q1, q2, q3, ..., q m The mapping relationship between the two is denoted as the mapping function Q = G(P), where m is the number of measurements performed by the measuring transmitter under the second operating condition.

[0027] As a preferred embodiment of the mathematical model calculation compensation method based on pH control of desulfurization slurry described in this invention, the method includes: controlling the model to output an adjustment signal to the absorber slurry flow rate regulating valve to control the slurry inlet flow rate of the absorber, comprising:

[0028] The control model calculates the required amount of gypsum slurry by using a proportional-integral-derivative (PID) regulator algorithm based on the first and second input variables to determine the gypsum slurry content and the required amount of gypsum slurry. A control signal for the gypsum slurry flow regulating valve is then generated based on this required amount of gypsum slurry. This control signal is used to control the opening time of the gypsum slurry flow regulating valve, thereby controlling the pH value of the desulfurization slurry.

[0029] Secondly, embodiments of the present invention provide a mathematical model calculation and compensation device based on pH control of desulfurization slurry, comprising:

[0030] The parameter acquisition module is used to acquire first and second operating data based on the gypsum slurry pump and desulfurization operating conditions.

[0031] The model calculation module is used as the first input variable to take the deviation between the first operating data and the pH setting value of the gypsum slurry. Based on the deviation between the second operating data and the outlet pressure setting value of the gypsum slurry pump, a mathematical model between the slurry supply flow rate of the absorption tower and the pH value of the gypsum slurry is formed by the least squares computer group.

[0032] The data input module is used to take the deviation between the set gypsum slurry pump outlet pressure value and the second operating data and the mapping compensation relationship of different mathematical models as the second input variable;

[0033] The control module is used to control the opening time of the gypsum slurry flow regulating valve through the first and second input variables, thereby controlling the pH value of the desulfurization slurry.

[0034] Thirdly, embodiments of the present invention provide a computing device, including:

[0035] Memory and processor;

[0036] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the one or more programs are executed by the one or more processors, the one or more processors implement the mathematical model calculation compensation method based on the pH control of desulfurization slurry as described in any embodiment of the present invention.

[0037] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the mathematical model calculation compensation method based on desulfurization slurry pH control.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows: By using the mapping compensation relationship between the difference between the set value of the limestone slurry pump outlet pressure and the actual value of the limestone slurry pump outlet pressure and different mathematical models, the present invention can completely compensate for the interference of the measured slurry supply flow of the absorption tower, improve the speed and stability of the regulation system, and achieve good control effect. Attached Figure Description

[0039] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Wherein:

[0040] Figure 1 This is a schematic diagram of the method and apparatus for calculating compensation based on a mathematical model for pH control of desulfurization slurry according to an embodiment of the present invention;

[0041] Figure 2 This is a control structure diagram of a mathematical model calculation compensation method and device based on pH control of desulfurization slurry according to an embodiment of the present invention. Detailed Implementation

[0042] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0043] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0044] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places in this specification does not necessarily refer to the same embodiment, nor is it a single or selective embodiment that is mutually exclusive with other embodiments.

[0045] This invention is described in detail with reference to the schematic diagrams. When detailing the embodiments of this invention, for ease of explanation, the cross-sectional views illustrating the device structure may be partially enlarged, not adhering to the usual scale. Furthermore, the schematic diagrams are merely examples and should not be construed as limiting the scope of protection of this invention. In actual fabrication, the three-dimensional spatial dimensions of length, width, and depth should be included.

[0046] Furthermore, in the description of this invention, it should be noted that the terms "upper," "lower," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are used solely for the convenience of describing the invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In addition, the terms "first," "second," or "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0047] Unless otherwise explicitly specified and limited, the terms "installation," "connection," and "joining" in this invention should be interpreted broadly. For example, they can refer to fixed connections, detachable connections, or integral connections; similarly, they can refer to mechanical connections, electrical connections, or direct connections, or indirect connections through an intermediate medium, or internal connections between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0048] Example 1

[0049] Reference Figures 1-2 As one embodiment of the present invention, this embodiment provides a mathematical model calculation compensation method based on the pH control of desulfurization slurry, including:

[0050] S102: Obtain first and second operating data based on the gypsum slurry pump and desulfurization operating conditions;

[0051] Furthermore, the first set of operating data includes: total sulfur dioxide, boiler load, pH value of slurry in the absorption tower, and standard concentration of sulfur dioxide in the clean flue gas, as well as the rate of change of standard concentration of sulfur dioxide.

[0052] The second set of operating data includes: limestone consumption of the absorption tower and boiler load change rate.

[0053] S104: The deviation between the first operating data and the pH setting value of the gypsum slurry is used as the first input variable. Based on the deviation between the second operating data and the outlet pressure setting value of the gypsum slurry pump, a mathematical model between the slurry supply flow rate of the absorption tower and the pH value of the gypsum slurry is established by the least squares computer group.

[0054] Furthermore, the deviation between the first operating data and the pH set value of the gypsum slurry is used as the first input variable, including: calculating the pH value of the gypsum slurry in the absorption tower based on the first operating data and inputting it into the analog quantity switching selection algorithm; the pH set value of the gypsum slurry in the absorption tower is input by the manual customizer algorithm.

[0055] The deviation between the given pH value of the gypsum slurry and the measured pH value of the gypsum slurry is used as the first input variable of the control model, and the proportional-integral-derivative regulator algorithm outputs the required amount of influence of the gypsum slurry.

[0056] Furthermore, a mathematical model of the relationship between the slurry flow rate of the absorption tower and the pH value of the gypsum slurry, obtained using the least squares method, is established, including:

[0057] The least squares method is used to calculate, and it is expressed as:

[0058]

[0059] Where P represents the outlet pressure data of the gypsum slurry pump, and V Z This represents the gypsum slurry concentration data, where w represents the control model for the gypsum slurry pump outlet pressure and gypsum slurry concentration. This represents the convolution matrix of gypsum slurry concentration data. Representation matrix transpose, d P This represents a matrix of data on the outlet pressure of gypsum slurry pumps. and d P The matrix arrangement is based on the definition of a general convolution matrix equation.

[0060] Specifically, it also includes:

[0061] The outlet pressure data of the gypsum slurry pump is the difference between the set value of the outlet pressure of the gypsum slurry pump and the actual outlet pressure value of the limestone slurry pump.

[0062] It should be noted that control can achieve complete compensation only when the error in the mathematical model is small. When the error in the mathematical model is large, the conditions are difficult to meet, and the desulfurization stability of the control model deteriorates. Therefore, a mapping relationship between the difference between the setpoint pH of the gypsum slurry and the actual pH value of the gypsum slurry and different mathematical models is added to the control system to reduce the model error, thereby completing the compensation of the mathematical model.

[0063] S106: The set gypsum slurry pump outlet pressure value and the deviation of the second operating data are used as the mapping compensation relationship between different mathematical models as the second input variable;

[0064] Furthermore, the mapping compensation relationships with different mathematical models, as second input variables, include:

[0065] In the first mapping model, the difference between the set value of the gypsum slurry pH value and the measured value of the gypsum slurry pH value in the first mapping list is denoted as X = (x1, x2, x3, ..., x...). n The difference between the setpoint and the measured outlet pressure of the gypsum slurry pump in the first mapping list corresponding to it is denoted as Y = (y1, y2, y3, ..., y n The mapping relationship between the two is denoted as the mapping function Y = G(X), where n is the number of measurements performed by the measuring transmitter under the first operating condition.

[0066] In the second mapping model, the difference between the set value and the measured value of the pH of the gypsum slurry in the second mapping list is denoted as P = (p1, p2, p3, ..., p m The difference between the setpoint and the measured outlet pressure of the gypsum slurry pump in the corresponding second mapping list is denoted as Q = (q1, q2, q3, ..., q m The mapping relationship between the two is denoted as the mapping function Q = G(P), where m is the number of measurements performed by the measuring transmitter under the second operating condition.

[0067] S108: The control model controls the opening time of the gypsum slurry flow regulating valve through the first and second input variables to control the pH value of the desulfurization slurry;

[0068] Furthermore, the control model outputs a regulation signal to the absorber slurry flow rate regulating valve to control the slurry inlet flow rate to the absorber, including:

[0069] The control model calculates the required amount of gypsum slurry by using a proportional-integral-derivative (PID) regulator algorithm based on the first and second input variables to determine the gypsum slurry content and the required amount of gypsum slurry. A control signal for the gypsum slurry flow regulating valve is then generated based on this required amount. This signal controls the opening time of the gypsum slurry flow regulating valve, thereby controlling the pH value of the desulfurization slurry.

[0070] It should be noted that before the control model adjusts the gypsum grout flow valve, the estimation model based on the AIC value determines the order of the model;

[0071] AIC value is defined as:

[0072]

[0073] The time from the change in the slurry supply flow rate of the absorption tower to the start of pH change is measured. The calculated data is then applied to the control model using a proportional-integral-derivative (PID) regulator algorithm to control the slurry inlet flow rate of the absorption tower and thus control the pH value of the gypsum slurry.

[0074] The above is a schematic scheme of the mathematical model calculation compensation method based on the pH control of desulfurization slurry in this embodiment. It should be noted that the technical solution of the mathematical model calculation compensation device based on the pH control of desulfurization slurry is based on the same concept as the above-described mathematical model calculation compensation method based on the pH control of desulfurization slurry. Details not described in detail in the technical solution of the mathematical model calculation compensation device based on the pH control of desulfurization slurry in this embodiment can be found in the description of the above-described mathematical model calculation compensation method based on the pH control of desulfurization slurry.

[0075] The mathematical model-based compensation device for desulfurization slurry pH control in this embodiment includes:

[0076] The parameter acquisition module is used to acquire first and second operating data based on the gypsum slurry pump and desulfurization operating conditions.

[0077] The model calculation module uses the deviation between the first operating data and the pH setting value of the gypsum slurry as the first input variable. Based on the deviation between the second operating data and the outlet pressure setting value of the gypsum slurry pump, it uses the least squares method to calculate the mathematical model between the slurry supply flow rate of the absorption tower and the pH value of the gypsum slurry.

[0078] The data input module is used to take the set gypsum slurry pump outlet pressure value and the deviation of the second operating data from the mapping compensation relationship of different mathematical models as the second input variable;

[0079] The control module is used to control the opening time of the gypsum slurry flow regulating valve through the first and second input variables, thereby controlling the pH value of the desulfurization slurry.

[0080] This embodiment also provides a computing device applicable to the calculation of compensation methods based on mathematical models for desulfurization slurry pH control, including:

[0081] The system includes a memory and a processor. The memory stores computer-executable instructions, and the processor executes these instructions to implement the mathematical model-based compensation method for desulfurization slurry pH control as proposed in the above embodiments.

[0082] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0083] This embodiment also provides a storage medium storing a computer program that, when executed by a processor, implements the mathematical model calculation compensation method based on the pH control of desulfurization slurry as proposed in the above embodiments.

[0084] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0085] Example 2

[0086] Reference Figures 1-2 This is an embodiment of the present invention. Based on the above method, its beneficial effects are verified through system testing.

[0087] The desulfurization operation control parameters of the power plant, namely the pH value of the gypsum slurry and the slurry supply flow rate of the absorption tower, were collected in the SIS system (plant-level real-time monitoring system) that communicates with the DCS system (distributed control system) of the power plant. The collected data were input into MATLAB software and interference terms were processed. In the control system, a mapping compensation relationship was added between the difference between the setpoint and the actual outlet pressure P of the limestone slurry pump and different mathematical models. The compensation values ​​are shown in Table 1.

[0088] Table 1 Compensation Values

[0089] x y -1 1 -0.5 0.8 -0.2 0.6 0 -0.1 0.15 -1 0.5 -1.5

[0090] Based on the data in Table 1, when measuring the slurry flow rate of the absorption tower, the flow parameter is easily affected by the operating conditions of the limestone slurry pump. Changes in the operating conditions of the limestone slurry pump directly lead to changes in the outlet pressure of the limestone slurry pump. Therefore, the difference between the setpoint and the actual outlet pressure of the limestone slurry pump and the mapping compensation relationship with different mathematical models can completely compensate for the interference effect of measuring the slurry flow rate of the absorption tower. The implementation of this invention has reduced the system response time from 150 seconds to 56 seconds and the overshoot from 43% to 12%. Therefore, the improved control system of this invention has improved the speed and stability of regulation, achieving good application results in practical applications.

[0091] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

[0092] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. 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 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. The solutions in the embodiments of this application can be implemented in various computer languages, such as the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0093] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program 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 instructions. These computer program instructions can be provided to a processor 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 of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0094] These computer program instructions may also be stored in a computer-readable storage medium 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 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.

[0095] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment 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.

[0096] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0097] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A mathematical model-based compensation method for desulfurization slurry pH control, characterized in that, include: First and second operating data were obtained based on the gypsum slurry pump and desulfurization operating conditions. The deviation between the first operating data and the pH setting value of the gypsum slurry is used as the first input variable. Based on the deviation between the second operating data and the outlet pressure setting value of the gypsum slurry pump, a mathematical model between the slurry supply flow rate of the absorption tower and the pH value of the gypsum slurry is constructed using the least squares computer group. The deviation between the set gypsum slurry pump outlet pressure and the second operating data, along with the mapping compensation relationship between different mathematical models, is used as the second input variable. Specifically, the mapping compensation relationship between different mathematical models as the second input variable includes: The difference between the set value of the gypsum slurry pH value and the measured value of the gypsum slurry pH value in the first mapping list of the first mapping model is denoted as: The difference between the set value of the gypsum slurry pump outlet pressure and the measured value of the gypsum slurry pump outlet pressure in the first mapping list is denoted as... The mapping relationship between the two is denoted as the mapping function. ,in, The number of measurements taken by the transmitter under the first operating condition; In the second mapping model, the difference between the set value of the gypsum slurry pH and the measured value of the gypsum slurry pH in the second mapping list is denoted as: The difference between the set value of the gypsum slurry pump outlet pressure and the measured value of the gypsum slurry pump outlet pressure in the corresponding second mapping list is recorded as follows: The mapping relationship between the two is denoted as the mapping function. ,in, To measure the number of measurements taken by the transmitter under the second operating condition; The control model controls the opening time of the gypsum slurry flow regulating valve through the first and second input variables, thereby controlling the pH value of the desulfurization slurry.

2. The mathematical model calculation and compensation method based on pH control of desulfurization slurry as described in claim 1, characterized in that The first set of operating data includes: total sulfur dioxide, boiler load, pH value of slurry in the absorption tower, standard concentration of sulfur dioxide in the clean flue gas, and rate of change of standard concentration of sulfur dioxide; The second set of operating data includes: limestone consumption of the absorption tower and boiler load change rate.

3. The mathematical model calculation compensation method based on desulfurization slurry PH value control according to claim 1 or 2, characterized in that, The deviation between the first operating data and the pH setting value of the gypsum slurry is used as the first input variable, including: calculating the pH value of the gypsum slurry in the absorption tower based on the first operating data and inputting it into the analog quantity switching selection algorithm; the pH setting value of the gypsum slurry in the absorption tower is input by the manual customization algorithm. The deviation between the given pH value of the gypsum slurry and the measured pH value of the gypsum slurry is used as the first input variable of the control model, and the proportional-integral-derivative regulator algorithm outputs the required amount of influence of the gypsum slurry.

4. The mathematical model calculation compensation method based on desulfurization slurry PH value control according to claim 3, characterized in that, A mathematical model of the relationship between the slurry flow rate of the absorption tower and the pH value of the gypsum slurry, obtained through a least-squares computer system, includes: The least squares method calculation is expressed as: ; in, This indicates the outlet pressure data of the gypsum slurry pump. This indicates the concentration data of gypsum slurry. The control model represents the outlet pressure and concentration of the gypsum slurry pump. This represents the convolution matrix of gypsum slurry concentration data. Representation matrix transpose, This represents a matrix of data on the outlet pressure of gypsum slurry pumps. and The matrix arrangement is based on the definition of a general convolution matrix equation.

5. The mathematical model calculation and compensation method based on pH control of desulfurization slurry as described in claim 4, characterized in that, Also includes: The gypsum slurry pump outlet pressure data is the difference between the set value of the gypsum slurry pump outlet pressure and the actual value of the limestone slurry pump outlet pressure.

6. The mathematical model calculation compensation method based on desulfurization slurry PH value control according to claim 5, characterized in that, The control model outputs a regulation signal to the slurry supply flow regulating valve of the absorber tower to control the slurry inlet flow rate of the absorber tower, including: The control model calculates the required amount of gypsum slurry by using a proportional-integral-derivative (PID) regulator algorithm based on the first and second input variables to determine the gypsum slurry content and the required amount of gypsum slurry. A control signal for the gypsum slurry flow regulating valve is then generated based on this required amount of gypsum slurry. This control signal is used to control the opening time of the gypsum slurry flow regulating valve, thereby controlling the pH value of the desulfurization slurry.

7. A mathematical model-based compensation device for desulfurization slurry pH control, applied to the method described in any one of claims 1-6, characterized in that, include: The parameter acquisition module is used to acquire first and second operating data based on the gypsum slurry pump and desulfurization operating conditions. The model calculation module is used as the first input variable to take the deviation between the first operating data and the pH setting value of the gypsum slurry. Based on the deviation between the second operating data and the outlet pressure setting value of the gypsum slurry pump, a mathematical model between the slurry supply flow rate of the absorption tower and the pH value of the gypsum slurry is formed by the least squares computer group. The data input module is used to take the deviation between the set gypsum slurry pump outlet pressure value and the second operating data and the mapping compensation relationship of different mathematical models as the second input variable; The control module is used to control the opening time of the gypsum slurry flow regulating valve through the first and second input variables, thereby controlling the pH value of the desulfurization slurry.

8. A computing device, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the mathematical model calculation compensation method based on the pH control of desulfurization slurry as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the mathematical model calculation compensation method based on the pH control of desulfurization slurry as described in any one of claims 1 to 6.

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