Method and device for optimizing high-pressure control valve of full-cycle inlet steam turbine for DCS data mining

Abstract

The invention discloses a method and a device for optimizing a high-pressure control valve of a full-cycle steam admission turbine for DCS (Distributed Control System) data mining, and belongs to the technical field of power generation of turbines of thermal power generating units. Searching an original high-pressure control valve flow management function f1 and an original steam supplementing valve flow management function f2 from the DEH system logic of the unit; corresponding corrected main steam flow percentage sequences under different comprehensive valve position opening degrees are calculated; combining the corrected main steam flow percentage sequence as an independent variable and the high-pressure control valve opening sequence as a dependent variable to form a function f3, and combining the corrected main steam flow percentage sequence as an independent variable and the steam supplementing valve opening sequence as a dependent variable to form a function f4; and respectively replacing the function f1 and the function f2 with the function f3 and the function f4 in the DEH system logic of the unit to finish the optimization of the full-cycle steam admission turbine high-pressure control valve. According to the method, a large amount of unit operation statistical data is adopted, and the advantages brought by all-round steam admission can be brought into full play based on theoretical calculation and analysis.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of steam turbine power generation of thermal power generating units, and particularly relates to a DCS data mining-based high-pressure governing valve optimization method and device for a full-peripheral admission steam turbine. BACKGROUND

[0002] In recent years, the energy efficiency standards and carbon emission requirements for thermal power generating units are increasingly stringent, which forces power plants to pursue any possible efficiency improvement point. With the improvement of the computing power of DCS (Distributed Control System) and the application of advanced control algorithms, a technical basis is provided for implementing complex valve optimization strategies. The efficiency improvement at partial load (especially during deep load modulation) contributed by large units using full-peripheral admission steam turbines is significant.

[0003] In order to solve the problems of inherent efficiency loss, vibration risk and thermal stress of the traditional partial admission method, fully exert the advantages of full-peripheral admission such as efficiency improvement, uniform admission, good flexibility, high-precision load tracking capability, etc., and overcome the complex challenge of coordinating the opening degrees of multiple governing valves under full working conditions (especially wide load and deep load modulation) to achieve the optimal multi-objective of efficiency, safety, stability and fast response, the high-pressure governing valve optimization technology for full-peripheral admission steam turbines is a key optimization means developed in combination with advanced control technology under the pressure of improving energy efficiency, enhancing flexibility and ensuring equipment safety and reliability, and is crucial for the operation of modern high-efficiency, flexible and reliable thermal power generating units. However, the method of obtaining the unit high-pressure governing valve flow management function by using the conventional high-pressure governing valve flow characteristic test consumes a long time and requires a large amount of load, which increases the difficulty of optimization. SUMMARY

[0004] In order to overcome the problems existing in the prior art, the purpose of the present application is to provide a DCS data mining-based high-pressure governing valve optimization method and device for a full-peripheral admission steam turbine. The present application can simply obtain the high-pressure governing valve flow management function and the supplementary valve flow management function of the full-peripheral admission steam turbine.

[0005] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions: In a first aspect, the present application provides a DCS data mining-based high-pressure governing valve optimization method for a full-peripheral admission steam turbine, comprising the following steps: S1, selecting sampling points related to the calculation of the high-pressure governing valve flow management function and the supplementary valve flow management function to obtain DCS data; S2, finding the original high-pressure governing valve flow management function f1 and the original supplementary valve flow management function f2 from the logic of the unit DEH system; S3, calculating the corresponding modified main steam flow percentage sequence under different comprehensive valve opening degrees from the comprehensive valve opening degree, the main steam pressure, the main steam temperature and the coal economizer inlet feedwater flow. S4. For each comprehensive valve position opening sequence, there exists a corresponding high-pressure regulating valve opening sequence, a supplementary steam valve opening sequence, and a corrected main steam flow percentage sequence. The corrected main steam flow percentage sequence is used as the independent variable, and the high-pressure regulating valve opening sequence is used as the dependent variable to form a new high-pressure regulating valve flow management function f3. The corrected main steam flow percentage sequence is used as the independent variable, and the supplementary steam valve opening sequence is used as the dependent variable to form a new supplementary steam valve flow management function f4. S5. In the DEH system logic of the unit, replace the original high-pressure regulating valve flow management function f1 with function f3, and replace the original supplementary steam valve flow management function f2 with function f4.

[0006] Furthermore, in step S1, sampling points related to the calculation of the high-pressure regulating valve flow management function are selected to obtain DCS data, including: From the DCS database of the steam turbine unit, select the main steam pressure, main steam temperature, economizer inlet feedwater flow rate, high-pressure regulating valve opening, make-up steam valve opening, comprehensive valve position opening, and unit electrical power, and set the sampling period to be less than or equal to 30 seconds, with the sampling duration covering the full range of unit operating load.

[0007] Furthermore, in step S3, the corrected main steam flow rate percentage sequence corresponding to different comprehensive valve openings is calculated based on the comprehensive valve position opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow rate, including: The main steam flow sequence corresponding to different comprehensive valve openings is calculated based on the comprehensive valve position opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow. The corrected main steam flow sequence corresponding to different comprehensive valve openings is calculated based on the comprehensive valve position opening, main steam pressure, and main steam temperature. Based on the corrected main steam flow rate sequence, calculate the corresponding corrected main steam flow rate percentage sequence under different comprehensive valve position openings.

[0008] Furthermore, in step S4, for each comprehensive valve position opening sequence, there exists a corresponding high-pressure regulating valve opening sequence, a supplementary steam valve opening sequence, and a corrected main steam flow percentage sequence. The corrected main steam flow percentage sequence is used as the independent variable, and the high-pressure regulating valve opening sequence is used as the dependent variable to form a new high-pressure regulating valve flow management function f3. The corrected main steam flow percentage sequence is used as the independent variable, and the supplementary steam valve opening sequence is used as the dependent variable to form a new supplementary steam valve flow management function f4, which includes: For each comprehensive valve position opening sequence, set it as sequence dd, set the high-pressure regulating valve opening sequence corresponding to each comprehensive valve position opening as sequence ee, and set the steam replenishment valve opening sequence corresponding to each comprehensive valve position opening as sequence gg. Based on the corrected main steam flow percentage sequence, sequence dd, sequence ee, and sequence gg corresponding to different comprehensive valve position openings, the high-pressure regulating valve opening and the supplementary steam valve opening corresponding to different comprehensive valve position openings are calculated, thereby obtaining the new high-pressure regulating valve flow management function f3 and the new supplementary steam valve flow management function f4.

[0009] Furthermore, in step S3, the corrected main steam flow rate corresponding to different integrated valve position openings... Q x Calculated using formula (1): (1) In the formula: Qs represents the main steam flow rate in the unit's DCS operating parameters, and Ps represents the main steam pressure in the unit's DCS operating parameters. This indicates the specific volume of the main steam under rated operating conditions. This indicates the main steam specific volume in the DCS operating parameters; This indicates the main steam pressure under rated operating conditions; This indicates the main steam specific volume in the unit's DCS operating parameters.

[0010] Furthermore, in step S3, the corrected percentage of main steam flow rate w is calculated using formula (2): (2) In the formula: Q x This indicates the corrected main steam flow rate. This indicates the corrected main steam flow rate when the high-pressure regulating valve and the make-up steam valve of the steam turbine are fully open.

[0011] Furthermore, in step S4, each element dd in the overall valve position opening sequence dd i The element ee in the high-pressure control valve opening sequence corresponding to the overall valve position opening degree. i The element gg in the sequence of steam replenishment valve opening degree corresponding to the overall valve position opening degree. i The element cc in the corrected main steam flow rate percentage sequence corresponding to different integrated valve position openings. i The original high-pressure regulating valve flow management function f1 is composed of element dd i and the corresponding element ee i Composition, where i represents the index in the sequence; elements dd i Replace with the corresponding element cc i This yields a new high-pressure regulating valve flow management function f3; the original supplementary steam valve flow management function f2 is derived from the element dd. i and the corresponding element gg i Composition, combining elements dd i Replace with the corresponding element cc iThis yields the new steam replenishment valve flow management function f4.

[0012] Secondly, the present invention provides a DCS data mining-based optimization device for a full-circumference steam turbine high-pressure control valve, comprising: a DCS data acquisition unit, which selects sampling points related to the calculation of the high-pressure control valve flow management function and the supplementary steam valve flow management function to obtain DCS data; The management function lookup unit searches for the original high-pressure regulating valve flow management function f1 and the original supplementary steam valve flow management function f2 in the unit's DEH system logic. The first calculation unit calculates the corrected main steam flow percentage sequence corresponding to different comprehensive valve openings based on the comprehensive valve position opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow. In the second calculation unit, for each comprehensive valve position opening sequence, there exists a corresponding high-pressure regulating valve opening sequence, a supplementary steam valve opening sequence, and a corrected main steam flow percentage sequence. The corrected main steam flow percentage sequence is used as the independent variable and the high-pressure regulating valve opening sequence is used as the dependent variable to form a function f3. The corrected main steam flow percentage sequence is used as the independent variable and the supplementary steam valve opening sequence is used as the dependent variable to form a function f4, which are the new high-pressure regulating valve flow management function f3 and the supplementary steam valve flow management function f4. The management function replacement unit replaces f1 and f2 with f3 and f4 respectively in the DEH system logic of the unit, thus completing the optimization of the high-pressure control valve of the steam turbine with full circumference steam intake.

[0013] Furthermore, in the DCS data acquisition unit, sampling points related to the calculation of the high-pressure regulating valve flow management function and the supplementary steam valve flow management function are selected to obtain DCS data, including: Seven measurement points were selected from the DCS database of the steam turbine unit: main steam pressure, main steam temperature, economizer inlet feedwater flow rate, high-pressure regulating valve opening, make-up steam valve opening, comprehensive valve position opening, and unit electrical power. The sampling period was set to be less than or equal to 30 seconds, and the data was exported. The sampling duration can cover the full range of unit operating load.

[0014] Thirdly, the present invention provides an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the DCS data mining method for optimizing the high-pressure control valve of a steam turbine with full-cycle intake as described in the first aspect.

[0015] Compared with the prior art, the present invention has at least the following beneficial technical effects: The conventional method of obtaining the high-pressure valve flow management function of the unit by conducting a full-cycle steam turbine high-pressure valve flow characteristic test is expensive, has high requirements, and is time-consuming, with the total test time generally exceeding 7 days. This invention uses the unit's DCS operating data, which can obtain the unit's high-pressure valve flow management function at low cost and in a short time.

[0016] The conventional method of obtaining the high-pressure control valve flow management function of a unit through full-cycle steam turbine high-pressure control valve flow characteristic tests often uses simplified test methods from turbine performance test procedures, resulting in test uncertainties of 1.5% to 3.0%, which is unsuitable for high-precision unit high-pressure control valve flow characteristic tests. This invention utilizes extensive unit DCS operating data and relies on theoretical calculations and analysis, rather than depending on theoretical design values ​​or offline test data. The resulting high-pressure control valve flow management function and supplementary steam valve flow management function are more reliable. This optimization process based on actual operational feedback forms a "closed loop," continuously adapting to changes in the unit's real characteristics (such as equipment aging and scaling), making the optimization effect more durable and more realistic.

[0017] This invention utilizes the modified main steam flow percentage as an optimized valve opening command, which can more rationally allocate the opening of the high-pressure regulating valve and the make-up steam valve, reduce throttling losses, and make the energy conversion efficiency of steam in the steam turbine higher.

[0018] Currently, most circumferential steam turbines are equipped with a steam replenishment valve. When the steam replenishment valve is engaged, it causes increased turbine vibration, a common problem for this type of unit that seriously affects operational safety. This invention, through high-precision valve optimization, can fully leverage the advantages of circumferential steam inlet, such as improved efficiency, uniform steam intake, good flexibility, and high-precision load tracking capability. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 This is a schematic flowchart of the method of the present invention; Figure 2 Here is a comparison chart of flow management curves for steam turbine control valves; Figure 3 Here is a comparison chart of the characteristic curves of the high-pressure control valve of an example steam turbine; Figure 4 This is a structural block diagram of the device of the present invention; Figure 5 This is a block diagram of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0021] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0022] In the description of this invention, it should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0023] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0024] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0025] The accompanying drawings illustrate various structural schematic diagrams according to embodiments disclosed in this invention. These drawings are not to scale, and some details have been enlarged for clarity, and some details may have been omitted. The shapes of the various regions and layers shown in the drawings, as well as their relative sizes and positional relationships, are merely exemplary and may deviate from reality due to manufacturing tolerances or technical limitations. Furthermore, those skilled in the art can design regions / layers with different shapes, sizes, and relative positions as needed.

[0026] The following detailed description, in conjunction with the accompanying drawings and examples, provides a further explanation of the DCS data mining method for optimizing the high-pressure control valve of a full-circumference steam turbine according to the present invention.

[0027] Example 1 like Figure 1 As shown, the DCS data mining method for optimizing the high-pressure control valve of a full-cycle steam turbine, provided by this invention, includes the following steps: Step 1: Select seven measurement points from the DCS database of the steam turbine unit: main steam pressure, main steam temperature, economizer inlet feedwater flow rate, high-pressure regulating valve opening, make-up steam valve opening, comprehensive valve position opening, and unit electrical power. Set the sampling period to be less than or equal to 30 seconds, export the data, and ensure that the sampling duration covers the full range of the unit's operating load.

[0028] Step 2: Locate the original high-pressure regulating valve flow management function f1 and the original supplementary steam valve flow management function f2 in the unit's DEH system logic, as shown in Table 1 and Table 2.

[0029] Table 1 Original High-Pressure Regulator Flow Management Function

[0030] Table 2 Original Steam Injection Valve Flow Management Function

[0031] Step 3: Calculate the main steam flow rate corresponding to different comprehensive valve openings based on the comprehensive valve position opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow rate. Then, further calculate the corrected main steam flow rate corresponding to different comprehensive valve openings. Q x :

[0032] In the formula: Q represents the main steam flow rate, P represents the main steam pressure, v represents the main steam specific volume, s represents the DCS operating parameters of the unit, and 0 represents the rated operating parameters.

[0033] The corrected main steam flow rate corresponding to all comprehensive valve position openings forms a sequence of corrected main steam flow rate percentages (cc) under different comprehensive valve position openings. Step 4: Based on the corrected main steam flow rate, calculate the percentage of the corrected main steam flow rate corresponding to different integrated valve opening positions. w :

[0034] In the formula: Q x This indicates the corrected main steam flow rate. This indicates the corrected main steam flow rate when the high-pressure regulating valve and the make-up steam valve of the steam turbine are fully open.

[0035] Step 5: For each integrated valve position opening sequence, let it be sequence dd. Let the high-pressure regulating valve opening corresponding to each integrated valve position opening sequence be sequence ee, and the supplementary steam valve opening corresponding to each integrated valve position opening sequence be sequence gg. Based on the corrected main steam flow percentage sequences cc, dd, ee, and gg corresponding to different integrated valve position openings, the high-pressure regulating valve opening and supplementary steam valve opening corresponding to different integrated valve position openings can be obtained, and thus the new high-pressure regulating valve flow management function f3 and supplementary steam valve flow management function f4 can be obtained; as shown in Tables 3 and 4. Figure 2 The image shows a comparison of flow management curves for turbine control valves.

[0036] Specifically, it refers to each element dd in the comprehensive valve position opening sequence dd. i The element ee in the corresponding sequence ee i , element gg in sequence gg i and the element cc in sequence cc i The original high-pressure regulating valve flow management function f1 is composed of element dd i and the corresponding element ee i Composition, combining elements dd i Replace with the corresponding element cc i This yields the new high-pressure regulating valve flow management function f3; the original supplementary steam valve flow management function f2 is derived from the element dd. i and the corresponding element gg i Composition, combining elements dd i Replace with the corresponding element cc i Then, the new steam replenishment valve flow management function f4 is obtained.

[0037] Step 6: Replace f1 and f2 with f3 and f4 respectively in the DEH system logic of the unit, thus completing the optimization of the high-pressure control valve of the full-circle steam turbine. Figure 3 The image shows a comparison of the characteristic curves of the high-pressure control valve of a steam turbine.

[0038] Table 3 Flow Management Functions for New High-Pressure Regulators

[0039] Table 4 Flow Management Functions for New Steam Supplement Valve

[0040] This invention utilizes innovative data mining and function reconstruction methods to precisely optimize the management functions of the high-pressure regulating valve and supplementary steam valve of the full-cycle steam turbine using actual unit operating data. This significantly improves turbine operating efficiency and optimizes valve control performance, providing an effective technical means for thermal power units to meet stringent energy efficiency and emission requirements.

[0041] Example 2 like Figure 4 As shown, the DCS data mining-based full-cycle steam turbine high-pressure control valve optimization device provided by the present invention includes: The DCS data acquisition unit selects sampling points related to the calculation of the high-pressure regulating valve flow management function to obtain DCS data; The management function lookup unit searches for the original high-pressure regulating valve flow management function f1 and the original supplementary steam valve flow management function f2 in the unit's DEH system logic. The first calculation unit calculates the corrected main steam flow percentage sequence corresponding to different comprehensive valve openings based on the comprehensive valve position opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow. The second calculation unit, for each comprehensive valve position opening sequence, has a corresponding high-pressure regulating valve opening sequence, a supplementary steam valve opening sequence, and a corrected main steam flow percentage sequence. The corrected main steam flow percentage sequence is used as the independent variable and the high-pressure regulating valve opening sequence is used as the dependent variable to form a function f3. The corrected main steam flow percentage sequence is used as the independent variable and the supplementary steam valve opening sequence is used as the dependent variable to form a function f4, which are the new high-pressure regulating valve flow management function f3 and supplementary steam valve flow management function f4. The management function replacement unit replaces f1 and f2 with f3 and f4 respectively in the unit's DEH system logic, thus optimizing the turbine's high-pressure control valve.

[0042] Example 3 Reference Figure 5This embodiment provides an electronic device including a processor and a memory, with the processor and memory connected via a bus. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may 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. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve corresponding method flows or corresponding functions. The processor described in this embodiment can be used for the operation of the full-cycle steam turbine high-pressure regulating valve optimization method in DCS data mining. The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, etc. For ease of representation, Figure 5 The symbol is represented by only one line, but this does not mean that there is only one bus or one type of bus.

[0043] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, 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 embodied 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.

[0044] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (devices), 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 process. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0045] 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.

[0046] 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.

[0047] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered illustrative and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the scope of the invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0048] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can be appropriately combined to form other embodiments that can be understood by those skilled in the art. The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.

Claims

1. A method for optimizing the high-pressure control valve of a full-cycle steam turbine using DCS data mining, characterized in that, Includes the following steps: S1. Select sampling points related to the calculation of the high-pressure regulating valve flow management function and the supplementary steam valve flow management function to obtain DCS data; S2. Locate the original high-pressure regulating valve flow management function f1 and the original supplementary steam valve flow management function f2 in the unit's DEH system logic; S3. Calculate the corrected main steam flow percentage sequence for different comprehensive valve openings based on the comprehensive valve position opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow. S4. For each comprehensive valve position opening sequence, there exists a corresponding high-pressure regulating valve opening sequence, a supplementary steam valve opening sequence, and a corrected main steam flow percentage sequence. The corrected main steam flow percentage sequence is used as the independent variable, and the high-pressure regulating valve opening sequence is used as the dependent variable to form a new high-pressure regulating valve flow management function f3. The corrected main steam flow percentage sequence is used as the independent variable, and the supplementary steam valve opening sequence is used as the dependent variable to form a new supplementary steam valve flow management function f4. S5. In the DEH system logic of the unit, replace the original high-pressure regulating valve flow management function f1 with function f3, and replace the original supplementary steam valve flow management function f2 with function f4.

2. The method for optimizing the high-pressure control valve of a full-circumference steam turbine using DCS data mining according to claim 1, characterized in that, In step S1, sampling points related to the calculation of the high-pressure regulating valve flow management function are selected to obtain DCS data, including: From the DCS database of the steam turbine unit, select the main steam pressure, main steam temperature, economizer inlet feedwater flow rate, high-pressure regulating valve opening, make-up steam valve opening, comprehensive valve position opening, and unit electrical power, and set the sampling period to be less than or equal to 30 seconds, with the sampling duration covering the full range of unit operating load.

3. The method for optimizing the high-pressure control valve of a full-circumference steam turbine using DCS data mining according to claim 2, characterized in that, In step S3, the corrected main steam flow rate percentage sequence for different comprehensive valve openings is calculated based on the comprehensive valve opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow rate, including: The main steam flow sequence corresponding to different comprehensive valve openings is calculated based on the comprehensive valve position opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow. The corrected main steam flow sequence corresponding to different comprehensive valve openings is calculated based on the comprehensive valve position opening, main steam pressure, and main steam temperature. Based on the corrected main steam flow rate sequence, calculate the corresponding corrected main steam flow rate percentage sequence under different comprehensive valve position openings.

4. The method for optimizing the high-pressure control valve of a full-circumference steam turbine using DCS data mining according to claim 3, characterized in that, In step S4, for each comprehensive valve position opening sequence, there exists a corresponding high-pressure regulating valve opening sequence, a supplementary steam valve opening sequence, and a corrected main steam flow percentage sequence. The corrected main steam flow percentage sequence is used as the independent variable, and the high-pressure regulating valve opening sequence is used as the dependent variable to form a new high-pressure regulating valve flow management function f3. The corrected main steam flow percentage sequence is used as the independent variable, and the supplementary steam valve opening sequence is used as the dependent variable to form a new supplementary steam valve flow management function f4, which includes: For each comprehensive valve position opening sequence, set it as sequence dd, set the high-pressure regulating valve opening sequence corresponding to each comprehensive valve position opening as sequence ee, and set the steam replenishment valve opening sequence corresponding to each comprehensive valve position opening as sequence gg. Based on the corrected main steam flow percentage sequence, sequence dd, sequence ee, and sequence gg corresponding to different comprehensive valve position openings, the high-pressure regulating valve opening and the supplementary steam valve opening corresponding to different comprehensive valve position openings are calculated, thereby obtaining the new high-pressure regulating valve flow management function f3 and the new supplementary steam valve flow management function f4.

5. The DCS data mining method for optimizing the high-pressure control valve of a full-circumference steam turbine according to claim 4, characterized in that, In step S3, the corrected main steam flow rate corresponds to different integrated valve position openings. Q x Calculated using formula (1): （1） In the formula: Qs represents the main steam flow rate in the unit's DCS operating parameters, and Ps represents the main steam pressure in the unit's DCS operating parameters. This indicates the specific volume of the main steam under rated operating conditions. This indicates the main steam specific volume in the DCS operating parameters; This indicates the main steam pressure under rated operating conditions; This indicates the main steam specific volume in the unit's DCS operating parameters.

6. The method for optimizing the high-pressure control valve of a full-circumference steam turbine using DCS data mining according to claim 4, characterized in that, In step S3, the corrected percentage of main steam flow rate w is calculated using formula (2): （2） In the formula: Q x This indicates the corrected main steam flow rate. This indicates the corrected main steam flow rate when the high-pressure regulating valve and the make-up steam valve of the steam turbine are fully open.

7. The DCS data mining method for optimizing the high-pressure control valve of a full-cycle steam turbine, as described in claim 4, is characterized in that... In step S4, each element dd in the integrated valve position opening sequence dd i The element ee in the high-pressure control valve opening sequence corresponding to the overall valve position opening degree. i The element gg in the sequence of steam replenishment valve opening degree corresponding to the overall valve position opening degree. i The element cc in the corrected main steam flow rate percentage sequence corresponding to different integrated valve position openings. i The original high-pressure regulating valve flow management function f1 is composed of element dd i and the corresponding element ee i Composition, where i represents the index in the sequence; elements dd i Replace with the corresponding element cc i This yields a new high-pressure regulating valve flow management function f3; the original supplementary steam valve flow management function f2 is derived from the element dd. i and the corresponding element gg i Composition, combining elements dd i Replace with the corresponding element cc i This yields the new steam replenishment valve flow management function f4.

8. A DCS data mining-based optimization device for high-pressure control valves of a full-cycle steam turbine, characterized in that, include: The DCS data acquisition unit selects sampling points related to the calculation of the high-pressure regulating valve flow management function and the supplementary steam valve flow management function to obtain DCS data; The management function lookup unit searches for the original high-pressure regulating valve flow management function f1 and the original supplementary steam valve flow management function f2 in the unit's DEH system logic. The first calculation unit calculates the corrected main steam flow percentage sequence corresponding to different comprehensive valve openings based on the comprehensive valve position opening, main steam pressure, main steam temperature, and economizer inlet feedwater flow. In the second calculation unit, for each comprehensive valve position opening sequence, there exists a corresponding high-pressure regulating valve opening sequence, a supplementary steam valve opening sequence, and a corrected main steam flow percentage sequence. The corrected main steam flow percentage sequence is used as the independent variable and the high-pressure regulating valve opening sequence is used as the dependent variable to form a function f3. The corrected main steam flow percentage sequence is used as the independent variable and the supplementary steam valve opening sequence is used as the dependent variable to form a function f4, which are the new high-pressure regulating valve flow management function f3 and the supplementary steam valve flow management function f4. The management function replacement unit replaces f1 and f2 with f3 and f4 respectively in the DEH system logic of the unit, thus completing the optimization of the high-pressure control valve of the steam turbine with full circumference steam intake.

9. The DCS data mining-based full-circumference steam turbine high-pressure regulating valve optimization device according to claim 8, characterized in that, In the DCS data acquisition unit, sampling points related to the calculation of the high-pressure regulating valve flow management function and the supplementary steam valve flow management function are selected to obtain DCS data, including: Seven measurement points were selected from the DCS database of the steam turbine unit: main steam pressure, main steam temperature, economizer inlet feedwater flow rate, high-pressure regulating valve opening, make-up steam valve opening, comprehensive valve position opening, and unit electrical power. The sampling period was set to be less than or equal to 30 seconds, and the data was exported. The sampling duration can cover the full range of unit operating load.

10. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the DCS data mining method for optimizing the high-pressure control valve of a full-cycle steam turbine as described in any one of claims 1 to 7.

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