Prediction method for scaling amount of heat transfer pipe of straight-flow steam generator and related device

Abstract

The invention discloses a method for predicting the scaling amount of a heat transfer pipe of a straight-flow steam generator and a related device thereof. The method comprises the steps that the heat exchange capacity decline rate of the steam generator is calculated according to real-time operation data of the steam generator and design parameters of the steam generator; calculating the throttling blockage degree according to the real-time operation data of the steam generator and the design parameters of the steam generator; and determining a total calculation factor of the steam generator, obtaining the scaling amount of the heat transfer tube of the straight-flow steam generator through a scaling amount prediction model according to the heat exchange capacity decline rate, the throttling blockage degree and the total calculation factor of the steam generator, and correcting the scaling amount of the heat transfer tube of the straight-flow steam generator to obtain the scaling amount of the heat transfer tube of the straight-flow steam generator. According to the method and the related device, the scaling amount of the heat exchange tube can be accurately predicted.

Description

Technical Field

[0001] The present invention belongs to the technical field of operation and maintenance of once-through steam generators in nuclear power plants, and relates to a method for predicting the fouling amount of heat transfer tubes of a once-through steam generator and related devices. Background Art

[0002] A steam generator is one of the key core devices in a nuclear power plant, and is a physical barrier and heat transfer medium between the primary loop and the secondary loop of the reactor, playing a key role in heat transfer of the nuclear reactor and steam generation. Due to water quality control and the effect of flow-accelerated corrosion of feed water, impurities and various dissolved ions in the water will enter the steam generator under the action of feed water carrying. The evaporation and concentration of water in the steam generator cause impurity deposition and fouling. The fouling problem of heat transfer tubes directly affects the thermal efficiency and safety of the equipment: it leads to a decrease in heat transfer efficiency, an increase in flow resistance, and even causes overheating or blockage of the heat transfer tubes, and may cause equipment damage or safety accidents in severe cases.

[0003] For a pressurized water reactor, the feed water of the steam generator is on the outer wall of the heat transfer tubes, and the steam generator is provided with a blowdown system, which can discharge a part of the impurities from the steam generator. The fouling deposited on the heat transfer tubes and tube sheets can be cleaned regularly by means of high-pressure water flushing or manual cleaning.

[0004] The water-cooled walls of once-through boilers in thermal power plants will also cause overheating, creep and even pipe rupture of the pipes due to evaporation and deposition. Therefore, during the overhaul of the unit, some pipe samples of the water-cooled walls of once-through boilers in thermal power plants will be periodically sampled and cut for accurately measuring the fouling amount of the water-cooled walls of once-through boilers in thermal power plants, which is a direct and accurate method.

[0005] At present, mainstream domestic and international fourth-generation nuclear reactors such as high-temperature gas-cooled reactors and sodium-cooled fast reactors all adopt once-through steam generators. The heat transfer tubes of the steam generator adopt a once-through tube bundle design, and the pipe diameter is generally 10-20 mm. A multi-stage throttle hole structure is designed at the inlet of the heat transfer tube bundle, and the throttle hole diameter is generally 2-3 mm. Since the feed water is heated and vaporized in the heat transfer tubes of the once-through steam generator, impurities and various dissolved ions will be deposited on the throttle holes and the inner walls of the heat transfer tubes, seriously affecting the safety and economy of nuclear power units. Since the nuclear power steam generator belongs to nuclear-grade equipment, the method of cutting and sampling the water-cooled wall of a thermal power unit cannot be used to measure the fouling amount of the heat transfer tubes.

[0006] At present, there is no method for predicting the fouling amount of the heat transfer tubes of a once-through steam generator. Thermal power units mainly rely on regular sampling and testing and historical data analysis. These methods have the following deficiencies: poor real-time performance, relying on off-line detection and unable to reflect the fouling state in real time. Insufficient accuracy: estimating the fouling amount only through a single parameter (such as temperature or pressure) and ignoring the comprehensive influence of multiple factors. Poor adaptability: not considering the differences in fouling formation under different operating conditions, resulting in a large deviation between the predicted result and the actual situation. Unable to quantify the influence of throttle orifice blockage: Throttle orifice blockage will further exacerbate the fouling problem, but the existing methods do not incorporate it into the calculation model. Therefore, there is an urgent need for a method that can comprehensively consider multiple parameters and accurately predict the fouling amount of the heat transfer tubes in real time. Summary of the Invention

[0007] The purpose of the present invention is to overcome the above-mentioned deficiencies of the prior art and provide a method for predicting the fouling amount of the heat transfer tubes of a once-through steam generator and its related device, which can accurately predict the fouling amount of the heat exchange tubes.

[0008] To achieve the above purpose, the present invention discloses a method for predicting the fouling amount of the heat transfer tubes of a once-through steam generator, including:

[0009] Collect the real-time operation data of the steam generator and obtain the design parameters of the steam generator;

[0010] Calculate the heat transfer capacity degradation rate of the steam generator according to the real-time operation data of the steam generator and the design parameters of the steam generator;

[0011] Calculate the throttle blockage degree according to the real-time operation data of the steam generator and the design parameters of the steam generator;

[0012] Determine the total calculation factor of the steam generator;

[0013] According to the heat transfer capacity degradation rate, throttle blockage degree and total calculation factor of the steam generator, through the fouling amount prediction model, obtain the fouling amount of the heat transfer tubes of the once-through steam generator, and then correct the fouling amount of the heat transfer tubes of the once-through steam generator to obtain the final fouling amount of the heat transfer tubes of the once-through steam generator.

[0014] The further improvement of the method for predicting the fouling amount of the heat transfer tubes of the once-through steam generator according to the present invention lies in:

[0015] Further, the real-time operation data of the steam generator includes the reactor power Pn, the inlet water temperature Ti, the outlet steam temperature To, the steam superheat ΔTsat, the flow rate Q, the pressure P and the pressure difference ΔP1 between the inlet and outlet of the steam generator.

[0016] Further, the process of calculating the heat transfer capacity degradation rate of the steam generator based on the real-time operation data and design parameters of the steam generator is as follows:

[0017] Calculate the current heat transfer coefficient h1 of the steam generator according to the real-time operation data of the steam generator. Calculate the heat transfer capacity degradation rate α = h0 / h1 of the steam generator based on the current heat transfer coefficient h1 and the designed heat transfer coefficient h0 of the steam generator.

[0018] Further, the process of calculating the throttling blockage degree based on the real-time operation data and design parameters of the steam generator is as follows:

[0019] Calculate the throttling blockage degree β = ΔP1 / ΔP0 based on the designed value of the pressure difference ΔP0 between the inlet and outlet of the steam generator and the measured pressure difference ΔP1 between the inlet and outlet.

[0020] Further, the process of determining the total calculation factor of the steam generator is as follows:

[0021] Determine the calculation factors γ1, γ2,..., γn of each parameter of the steam generator according to the operating conditions of the steam generator, and obtain the total calculation factor Γ = γ1 * γ2 *... * γn of the steam generator.

[0022] Further, the scaling amount Mi of the heat transfer tubes of the once-through steam generator is Mi = α * β * Γ, where Γ is the total calculation factor of the steam generator, β is the throttling blockage degree of the steam generator, and α is the heat transfer capacity degradation rate of the steam generator.

[0023] Further, the final scaling amount M of the heat transfer tubes of the once-through steam generator is M = K * α * β * Γ, where the ratio between the i-th predicted value Mi0 of the scaling amount prediction model and the actually measured scaling amount Mi after the most recent chemical cleaning is used as the prediction factor Ki of the current predicted value, Ki = Mi / Mi0, and the correction factor K of the prediction model is obtained, K = (K1 + K2 +... + Ki) / i.

[0024] The present invention discloses a prediction system for the scaling amount of the heat transfer tubes of a once-through steam generator, including:

[0025] An acquisition module, configured to collect the real-time operation data of the steam generator and obtain the design parameters of the steam generator;

[0026] A first calculation module, configured to calculate the heat transfer capacity degradation rate of the steam generator according to the real-time operation data and design parameters of the steam generator;

[0027] A second calculation module, configured to calculate the throttling blockage degree according to the real-time operation data and design parameters of the steam generator;

[0028] A determination module, configured to determine the total calculation factor of the steam generator;

[0029] A third calculation module, configured to obtain the fouling amount of the heat transfer tubes of the once-through steam generator through a fouling amount prediction model according to the heat transfer capacity degradation rate, throttling blockage degree, and total calculation factor of the steam generator, and then correct the fouling amount of the heat transfer tubes of the once-through steam generator to obtain the final fouling amount of the heat transfer tubes of the once-through steam generator.

[0030] The present invention discloses a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for predicting the fouling amount of the heat transfer tubes of the once-through steam generator are implemented.

[0031] The present invention discloses a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the steps of the method for predicting the fouling amount of the heat transfer tubes of the once-through steam generator are implemented.

[0032] The present invention has the following beneficial effects:

[0033] When the method for predicting the fouling amount of the heat transfer tubes of the once-through steam generator and its related device according to the present invention are specifically operated, the heat transfer capacity degradation rate, throttling blockage degree, and total calculation factor of the steam generator are comprehensively considered, and the fouling amount of the heat transfer tubes of the once-through steam generator is predicted through a fouling amount prediction model, so as to improve the prediction accuracy. In addition, the fouling amount of the heat transfer tubes of the once-through steam generator is corrected in the present invention, further improving the prediction accuracy of the fouling amount of the heat transfer tubes of the once-through steam generator, and it has extremely strong practicability. Description of the Drawings

[0034] The specification drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0035] Figure 1 It is a flowchart of the method of the present invention. Detailed Embodiments

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0037] In the description of the present invention, it should be understood that the terms "include" and "comprise" indicate the presence of the described features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their combinations.

[0038] It should also be understood that the terms used in the specification of the present invention are merely for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly dictates otherwise, the singular forms "a", "an", and "the" are intended to include the plural forms.

[0039] It should be further understood that the term "and / or" used in the specification of the present invention and the appended claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. Additionally, in the present invention, the character " / " generally indicates an "or" relationship between the contextually related objects.

[0040] It should be understood that although terms such as first, second, third, etc. may be used in the embodiments of the present invention to describe preset ranges, etc., these preset ranges should not be limited to these terms. These terms are only used to distinguish the preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0041] Depending on the context, the word "if" as used herein can be interpreted as "when" or "while" or "in response to determining" or "in response to detecting". Similarly, depending on the context, the phrase "if determined" or "if detected (stated condition or event)" can be interpreted as "when determined" or "in response to determining" or "when detected (stated condition or event)" or "in response to detecting (stated condition or event)".

[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. Usually, the components described and shown in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0043] Various structural schematic diagrams according to the disclosed embodiments of the present invention are shown in the drawings. These figures are not drawn to scale, where for the purpose of clear expression, some details are enlarged and some details may be omitted. The shapes of various regions and layers shown in the figures, as well as their relative sizes and positional relationships, are merely exemplary. In practice, there may be deviations due to manufacturing tolerances or technical limitations, and those skilled in the art can design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0044] Embodiment 1

[0045] The method for predicting the fouling amount of the heat transfer tubes of the once-through steam generator of the present invention includes the following steps:

[0046] 1) Data collection;

[0047] Collect the real-time operation data of the steam generator. The real-time operation data of the steam generator includes the reactor power Pn, the inlet water temperature Ti, the outlet steam temperature To, the steam superheat ΔTsat, the flow rate Q, the pressure P, and the pressure difference ΔP1 between the inlet and outlet of the steam generator. These are used as the actual engineering data of the steam generation, and the design parameters of the steam generator are obtained and used as the reference data.

[0048] 2) Calculate the reduction rate of the heat transfer capacity of the heat transfer tubes;

[0049] Calculate the current heat transfer coefficient h1 of the steam generator according to the real-time operation data of the steam generator. According to the current heat transfer coefficient h1 and the design heat transfer coefficient h0 of the steam generator, calculate the reduction rate of the heat transfer capacity of the steam generator α = h0 / h1.

[0050] 3) Evaluate the degree of throttling blockage;

[0051] According to the designed value of the pressure difference ΔP0 between the inlet and outlet of the steam generator and the measured pressure difference ΔP1 between the inlet and outlet, calculate the throttling blockage degree β = ΔP1 / ΔP0, and correct the influence of blockage on scaling in combination with historical data.

[0052] 4) Evaluate the full-power operation degree of the unit;

[0053] The actual operation days D1 between adjacent major overhaul cycles of the unit, the equivalent full-power operation days D2 of the actual operation days, and calculate the full-power operation degree η = D1 / D2 of the unit.

[0054] 5) Determine the total calculation factor;

[0055] According to the operating conditions (such as water quality deterioration, load change, etc.), determine the calculation factors γ1, γ2,..., γn of each parameter. Among them, (γ1, γ2,..., γn) are all greater than 1, then the total calculation factor Γ = γ1 * γ2 *... * γn.

[0056] 6) Establish a scaling amount prediction model;

[0057] According to the heat transfer capacity degradation rate (α), the throttling orifice blockage degree (β), the full-power operation condition (η) of the unit, and the total calculation factor (γ), establish a prediction model for the scaling amount (M), and obtain the scaling amount Mi = α * β * Γ.

[0058] 7) Modify the scaling amount prediction model;

[0059] Take the ratio between the i-th predicted value Mi0 of the prediction model of the scaling amount (M) and the actually measured scaling amount Mi of the most recent chemical cleaning as the prediction factor Ki of the current predicted value, Ki = Mi / Mi0, and take the arithmetic mean of the i-th and all previous prediction factors as the correction factor K of the prediction model, K = (K1 + K2 +... + Ki) / i. The prediction model of the scaling amount (M) is: M = K * α * β * Γ.

[0060] In step 2), the heat transfer capacity degradation rate can be further calculated in combination with the outlet temperature distribution data of the heat transfer tubes to improve the calculation accuracy.

[0061] In step 3), a machine learning algorithm can be introduced to evaluate the throttling orifice blockage degree, and the model can be trained through historical data to improve the prediction accuracy.

[0062] In step 5), the scaling amount prediction model can dynamically adjust the calculation factor to adapt to the changes of different operating conditions.

[0063] Embodiment 2

[0064] The prediction system for the scaling amount of the heat transfer tubes of the once-through steam generator described in the present invention includes:

[0065] An acquisition module, configured to collect real-time operation data of a steam generator and obtain design parameters of the steam generator;

[0066] A first calculation module, configured to calculate a heat transfer capacity degradation rate of the steam generator according to the real-time operation data of the steam generator and the design parameters of the steam generator;

[0067] A second calculation module, configured to calculate a throttle blockage degree according to the real-time operation data of the steam generator and the design parameters of the steam generator;

[0068] A determination module, configured to determine a total calculation factor of the steam generator;

[0069] A third calculation module, configured to obtain the fouling amount of the heat transfer tubes of the once-through steam generator through a fouling amount prediction model according to the heat transfer capacity degradation rate, the throttle blockage degree and the total calculation factor of the steam generator, and then correct the fouling amount of the heat transfer tubes of the once-through steam generator to obtain the final fouling amount of the heat transfer tubes of the once-through steam generator.

[0070] In the embodiments of the present application, the division of modules is illustrative, merely a logical function division. In actual implementation, there may be other division methods. In addition, in each embodiment of the present application, each functional module may be integrated in one processor, may also exist alone physically, or two or more modules may be integrated in one module. The above integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0071] Embodiment Three

[0072] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator are implemented. For example, it includes: collecting the real-time operation data of the steam generator and obtaining the design parameters of the steam generator; calculating the heat transfer capacity degradation rate of the steam generator according to the real-time operation data of the steam generator and the design parameters of the steam generator; calculating the throttling blockage degree according to the real-time operation data of the steam generator and the design parameters of the steam generator; determining the total calculation factor of the steam generator; and obtaining the fouling amount of the heat transfer tubes of the once-through steam generator through the fouling amount prediction model according to the heat transfer capacity degradation rate, throttling blockage degree, and total calculation factor of the steam generator, and then correcting the fouling amount of the heat transfer tubes of the once-through steam generator to obtain the final fouling amount of the heat transfer tubes of the once-through steam generator. Among them, the memory may include internal memory, such as high-speed random access memory, and may also include non-volatile memory, such as at least one disk memory, etc.; the processor, network interface, and memory are interconnected through an internal bus, and this internal bus can be an Industry Standard Architecture bus, a Peripheral Component Interconnect standard bus, an Extended Industry Standard Architecture bus, etc., and the bus can be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs. Specifically, the program can include program code, and the program code includes computer operation instructions. The memory can include internal memory and non-volatile memory and provide instructions and data to the processor.

[0073] Embodiment 4

[0074] A computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the steps of the prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator are implemented. For example, it includes: collecting the real-time operation data of the steam generator and obtaining the design parameters of the steam generator; calculating the heat transfer capacity degradation rate of the steam generator according to the real-time operation data of the steam generator and the design parameters of the steam generator; calculating the throttling blockage degree according to the real-time operation data of the steam generator and the design parameters of the steam generator; determining the total calculation factor of the steam generator; and obtaining the fouling amount of the heat transfer tubes of the once-through steam generator through the fouling amount prediction model according to the heat transfer capacity degradation rate, throttling blockage degree, and total calculation factor of the steam generator, and then correcting the fouling amount of the heat transfer tubes of the once-through steam generator to obtain the final fouling amount of the heat transfer tubes of the once-through steam generator. Specifically, the computer-readable storage medium includes but is not limited to, for example, volatile memory and / or non-volatile memory. The volatile memory can include random access memory (RAM) and / or cache memory, etc. The non-volatile memory can include read-only memory (ROM), hard disk, flash memory, optical disc, magnetic disk, etc.

[0075] Those skilled in the art will understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present 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.) that contain computer-usable program code.

[0076] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0077] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that realize the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0078] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in Figure 1 one or more of the processes or multiple processes and / or blocks Figure 1 one or more of the blocks or multiple blocks.

[0079] After considering the specification and the disclosure of the invention, those skilled in the art will readily think of other embodiments of the present invention. The present application is intended to cover any variations, uses, or adaptations of the present invention, which follow the general principles of the present invention and include well-known common general knowledge or conventional technical means in the technical field not disclosed in the present invention. The specification and the embodiments are only regarded as exemplary, and the true scope and spirit of the present invention are pointed out by the following claims.

[0080] It should be understood that the present invention is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

[0081] As described above, the above are only preferred embodiments of the present invention and do not impose any limitations on the present invention. Any simple modifications, changes, and equivalent structural changes made to the above embodiments based on the technical essence of the present invention still fall within the scope of protection of the technical solution of the present invention.

Claims

1. A method for predicting the scaling amount of heat transfer tubes in a once-through steam generator, characterized in that, Including: Collect the real-time operation data of the steam generator and obtain the design parameters of the steam generator; Calculate the heat transfer capacity degradation rate of the steam generator according to the real-time operation data of the steam generator and the design parameters of the steam generator; Calculate the throttle blockage degree according to the real-time operation data of the steam generator and the design parameters of the steam generator; Determine the total calculation factor of the steam generator; According to the heat transfer capacity degradation rate, throttle blockage degree and total calculation factor of the steam generator, through the fouling amount prediction model, obtain the fouling amount of the heat transfer tubes of the once-through steam generator, and then correct the fouling amount of the heat transfer tubes of the once-through steam generator to obtain the final fouling amount of the heat transfer tubes of the once-through steam generator.

2. The prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator according to claim 1, characterized in that, The real-time operation data of the steam generator includes reactor power Pn, inlet water temperature Ti, outlet steam temperature To, steam superheat ΔTsat, flow rate Q, pressure P, and the pressure difference ΔP1 between the inlet and outlet of the steam generator.

3. The prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator according to claim 2, wherein The process of calculating the heat transfer capacity degradation rate of the steam generator according to the real-time operation data of the steam generator and the design parameters of the steam generator is as follows: Calculate the current heat transfer coefficient h1 of the steam generator according to the real-time operation data of the steam generator, and calculate the heat transfer capacity degradation rate α = h0 / h1 of the steam generator according to the current heat transfer coefficient h1 and the design heat transfer coefficient h0 of the steam generator.

4. The prediction method for the scaling amount of the heat transfer tubes of the once-through steam generator according to claim 2, characterized in that, The process of calculating the throttle blockage degree according to the real-time operation data of the steam generator and the design parameters of the steam generator is as follows: Calculate the throttle blockage degree β = ΔP1 / ΔP0 according to the designed value of the pressure difference between the inlet and outlet of the steam generator ΔP0 and the measured pressure difference ΔP1 between the inlet and outlet.

5. The prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator according to claim 2, wherein The process of determining the total calculation factor of the steam generator is as follows: Determine the calculation factors γ1, γ2,..., γn of each parameter of the steam generator according to the operating conditions of the steam generator, and obtain the total calculation factor Γ = γ1 * γ2 *... * γn of the steam generator.

6. The prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator according to claim 1, characterized in that, The fouling amount of the heat transfer tubes of the once-through steam generator is Mi = α * β * Γ, where Γ is the total calculation factor of the steam generator, β is the throttle blockage degree of the steam generator, and α is the heat transfer capacity degradation rate of the steam generator.

7. The prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator according to claim 6, wherein, The final fouling amount M of the heat transfer tubes of the once-through steam generator is M = K * α * β * Γ, where the ratio between the i-th predicted value Mi0 of the fouling amount prediction model and the actually measured fouling amount Mi after the most recent chemical cleaning is used as the prediction factor Ki of the current prediction value, Ki = Mi / Mi0, to obtain the correction factor K of the prediction model, K = (K1 + K2 +... + Ki) / i.

8. A prediction system for the fouling amount of heat transfer tubes in a once-through steam generator, characterized in that, Including: An acquisition module for collecting the real-time operation data of the steam generator and obtaining the design parameters of the steam generator; A first calculation module for calculating the heat transfer capacity degradation rate of the steam generator according to the real-time operation data of the steam generator and the design parameters of the steam generator; A second calculation module for calculating the throttle blockage degree according to the real-time operation data of the steam generator and the design parameters of the steam generator; A determination module for determining the total calculation factor of the steam generator; A third calculation module, configured to obtain the fouling amount of the heat transfer tubes of the once-through steam generator through a fouling amount prediction model according to the heat transfer capacity degradation rate, the throttling blockage degree and the total calculation factor of the steam generator, and then correct the fouling amount of the heat transfer tubes of the once-through steam generator to obtain the final fouling amount of the heat transfer tubes of the once-through steam generator.

9. A computer 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, the steps of the prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator according to any one of claims 1-7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the steps of the prediction method for the fouling amount of the heat transfer tubes of the once-through steam generator according to any one of claims 1-7 are implemented.

Images