A furnace high-temperature corrosion early warning method, system, device, medium and product based on atmosphere reconstruction

Abstract

This application discloses a method, system, equipment, medium, and product for early warning of high-temperature corrosion in a furnace based on atmosphere reconstruction, relating to the field of high-temperature corrosion early warning technology. The method includes: based on the internal inspection results of the equipment, initially determining the severe areas of coking and high-temperature corrosion on the pipe wall, generating an initial key focus area, arranging atmosphere monitoring points based on dual-spectrum fusion measurement, and acquiring measured component data online; establishing a numerical simulation model to simulate and calculate the component concentration of the furnace atmosphere field, generating initial simulation results, obtaining a corrected and optimized numerical simulation model, reconstructing the furnace atmosphere field under different operating conditions, marking the coking and corrosion areas caused by abnormal component concentrations, generating coking and corrosion area distribution information, establishing correlation relationships, generating a sequence of component concentration data for early warning points, comparing it with the set early warning concentration limits, and generating control optimization suggestions to accurately locate the coking and corrosion areas spatially and provide targeted operational intervention guidance.

Description

Technical Field

[0001] This application relates to the field of high-temperature corrosion early warning technology, and in particular to a method, system, equipment, medium and product for early warning of high-temperature corrosion in furnaces based on atmosphere reconstruction. Background Technology

[0002] Combustion or gasification reaction devices (such as power plant boilers) operate under high-temperature and complex atmospheric conditions for extended periods. Heating surfaces and insulating metal surfaces are highly susceptible to high-temperature corrosion, leading to thinning of pipe walls, leaks, and even equipment failure. Especially under current constraints of flexible deep peak shaving and ultra-low emissions, boiler operating conditions fluctuate frequently, and severe oxygen deficiency can easily occur in localized areas of the furnace. This results in a significant increase in the concentration of reducing atmospheres such as CO and H2S, further exacerbating the risk of high-temperature corrosion in components such as water-cooled walls.

[0003] Currently, monitoring and early warning of high-temperature corrosion in furnaces mainly rely on two methods: First, online monitoring using a small number of physical sensors placed within the furnace. However, limited by installation conditions and cost, the number of measuring points is limited, failing to reflect the atmosphere distribution throughout the furnace, especially in the near-wall area, resulting in significant monitoring blind spots. Second, simulation prediction relies solely on numerical simulation techniques such as computational fluid dynamics. However, since the boundary conditions and reaction kinetic parameters of the simulation models are often based on ideal or general operating conditions, lacking real-time correction and calibration based on actual field measurements, the simulation results deviate significantly from the actual operating conditions, leading to low early warning accuracy and poor adaptability to operating conditions. Furthermore, existing early warning systems mostly focus on general alarms after concentration exceedances, lacking precise spatial positioning of coking corrosion areas and targeted operational intervention guidance, making it difficult to meet the actual needs of proactively controlling high-temperature corrosion under complex and variable operating conditions. Therefore, a technical solution that can integrate limited field measurements with full-field simulation to achieve high-precision atmosphere reconstruction and accurate early warning is urgently needed. Summary of the Invention

[0004] The purpose of this application is to provide a method, system, equipment, medium and product for early warning of high-temperature corrosion in furnaces based on atmosphere reconstruction, so as to solve the problems of incomplete coverage of existing monitoring methods, insufficient accuracy of simulation models and lack of targeted early warning.

[0005] To achieve the above objectives, this application provides the following solution: In a first aspect, this application provides a furnace high-temperature corrosion early warning method based on atmosphere reconstruction, including: S1: Based on the internal inspection results of the equipment, the areas with severe coking and high-temperature corrosion on the pipe wall are preliminarily identified, and the initial key focus areas are generated; S2: Based on the initial focus area, arrange atmosphere monitoring points based on dual-spectral fusion measurement, and obtain the measured data of components through online monitoring of the atmosphere monitoring points; S3: Based on the physical model of the equipment, establish a numerical simulation model, and use the numerical simulation model to simulate and calculate the concentration of components in the atmosphere field inside the furnace, and generate initial simulation results; S4: Based on the comparison between the measured data of the components and the initial simulation results, the numerical simulation model is corrected and optimized to obtain the corrected and optimized numerical simulation model. S5: Using the modified and optimized numerical simulation model, reconstruct the furnace atmosphere field under different operating conditions, mark the coking corrosion area caused by abnormal component concentration, and generate coking corrosion area distribution information. S6: Establish a correlation between the coking corrosion area distribution information and the measured component data, integrate the measured and calculated data, and generate a sequence of component concentration data for early warning points; S7: Compare the component concentration data sequence at the warning point with the set warning concentration limit to realize high temperature corrosion warning and generate control optimization suggestions.

[0006] Secondly, this application provides a furnace high-temperature corrosion early warning system based on atmosphere reconstruction, comprising: The initial focus area generation module is used to preliminarily determine the areas of severe coking and high-temperature corrosion on the pipe wall based on the internal inspection results of the equipment, and generate the initial focus area. The component measured data acquisition module is used to arrange atmosphere monitoring points based on dual-spectrum fusion measurement according to the initial key focus range, and to acquire component measured data through online monitoring of the atmosphere monitoring points; The initial simulation result generation module is used to establish a numerical simulation model based on the physical model of the equipment, and to use the numerical simulation model to simulate and calculate the concentration of components in the atmosphere field inside the furnace, thereby generating initial simulation results. The correction and optimization module is used to compare the measured data of the components with the initial simulation results, and to correct and optimize the numerical simulation model to obtain the corrected and optimized numerical simulation model. The coking corrosion area distribution information generation module is used to reconstruct the furnace atmosphere field under different operating conditions using the modified and optimized numerical simulation model, mark the coking corrosion area caused by abnormal component concentration, and generate coking corrosion area distribution information. The warning point component concentration data sequence generation module is used to establish a correlation between the coking corrosion area distribution information and the measured component data, and to integrate the measured and calculated data to generate the warning point component concentration data sequence. The control optimization suggestion generation module is used to compare the component concentration data sequence of the warning point with the set warning concentration limit to realize high temperature corrosion warning and generate control optimization suggestions.

[0007] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described furnace high-temperature corrosion early warning method based on atmosphere reconstruction.

[0008] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described furnace high-temperature corrosion early warning method based on atmosphere reconstruction.

[0009] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the above-described furnace high-temperature corrosion early warning method based on atmosphere reconstruction.

[0010] According to the specific embodiments provided in this application, this application has the following technical effects: First, based on the internal inspection results of the equipment, an initial key focus area is delineated and dual-spectral fusion atmosphere monitoring points are arranged to obtain measured component data, providing a reliable field benchmark for subsequent model correction; Second, by comparing the measured component data with the simulation results of the numerical simulation model at corresponding locations, and using data assimilation or parameter inversion methods to correct and optimize the model boundary conditions and dynamic parameters, the calculation accuracy and environmental adaptability of the simulation model under specific equipment and variable operating conditions are significantly improved. Furthermore, the high-precision numerical simulation model after correction and optimization is used to mark the coking corrosion area, completely breaking the spatial blind spot of traditional sparse monitoring points; Third, by establishing the correlation between the coking corrosion area and the physical monitoring point data, the coking corrosion area can be effectively monitored. The measured value inversion is extended into a complete early warning point component concentration data sequence including measured points and virtual calculation points. This achieves high-resolution, full-coverage real-time reconstruction of the furnace atmosphere field, especially the near-wall corrosion risk, to ensure comprehensive monitoring. Finally, the data sequence is dynamically compared with multi-level early warning concentration limits. This not only triggers accurate high-temperature corrosion early warnings instantly when limits are exceeded and highlights specific risk points and exceeding components on the furnace structure diagram, but also automatically generates control optimization suggestions such as adjusting air distribution or changing burner operation mode based on corrosion mechanisms and operational knowledge base. It provides precise spatial positioning of coking corrosion areas and targeted operational intervention guidance, thereby transforming passive alarms after the fact into proactive intervention before the fact. This significantly improves the safety of equipment operation, the reliability of early warning results, and the direct guiding value for combustion synergistic optimization. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a schematic flowchart of a furnace high-temperature corrosion early warning method based on atmosphere reconstruction, provided as an embodiment of this application. Detailed Implementation

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0014] To make the objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0015] like Figure 1 As shown in the figure, this application provides a furnace high-temperature corrosion early warning method based on atmosphere reconstruction, including: S1: Based on the internal inspection results of the equipment, areas with severe coking and high-temperature corrosion on the pipe wall are preliminarily identified, generating an initial focus area. High temperature is defined as ≥350℃.

[0016] S2: Based on the initial focus area, arrange atmosphere monitoring points based on dual-spectral fusion measurement, and obtain the measured data of components through online monitoring of the atmosphere monitoring points.

[0017] S3: Based on the physical model of the equipment, establish a numerical simulation model, and use the numerical simulation model to simulate and calculate the concentration of components in the atmosphere field inside the furnace, generating initial simulation results.

[0018] S4: Based on the comparison between the measured data of the components and the initial simulation results, the numerical simulation model is corrected and optimized to obtain the corrected and optimized numerical simulation model.

[0019] S5: Using the modified and optimized numerical simulation model, reconstruct the furnace atmosphere field under different operating conditions, mark the coking corrosion areas caused by abnormal component concentrations, and generate coking corrosion area distribution information. The coking corrosion areas are high-risk areas for coking corrosion, i.e., locations where coking and corrosion are prone to occur.

[0020] S6: Establish a correlation between the coking corrosion area distribution information and the measured component data, integrate the measured and calculated data, and generate a sequence of component concentration data for early warning points.

[0021] S7: Compare the component concentration data sequence at the warning point with the set warning concentration limit to realize high temperature corrosion warning and generate control optimization suggestions.

[0022] This application integrates online field measurements at limited points with numerical simulation of the entire furnace, enabling high-resolution, visualized early warning of corrosion risk in the entire furnace atmosphere field, especially near the tube wall.

[0023] In one exemplary embodiment, based on historical equipment inspection reports or the latest internal inspection results, combined with pipe wall appearance inspection, thickness measurement, metallographic analysis, etc., areas with more severe coking and high-temperature corrosion on the furnace pipe wall are initially identified as the initial scope of focus.

[0024] In an exemplary embodiment, based on the initial focus area determined in S1 and in conjunction with the furnace structure, an atmosphere monitoring point network based on dual-spectral fusion measurement is arranged. The number of atmosphere monitoring points ranges from 8 to 16 to achieve coverage of key sections; the dual-spectral fusion measurement integrates ultraviolet fluorescence spectroscopy and laser absorption spectroscopy to achieve online, real-time, and accurate monitoring of key corrosive / indicative components such as H2S, SO2, and CO, respectively, to obtain measured data of these components.

[0025] In an exemplary embodiment, the numerical simulation model is a computational fluid dynamics-based numerical simulation model used to simulate in-furnace flow, combustion, heat transfer, and component transport. Based on the data differences between the measured component data and the initial simulation results, data assimilation or parameter inversion methods are used to correct and optimize the boundary conditions or reaction kinetic parameters of the numerical simulation model, so that the relative error between the simulated values ​​and the measured values ​​meets the preset accuracy requirements, thereby obtaining the corrected and optimized numerical simulation model.

[0026] Specifically, based on the specific physical model of the target equipment (such as geometric dimensions, heating surface arrangement, burner configuration, etc.), numerical simulation tools such as Computational Fluid Dynamics (CFD) are used to establish a coupled numerical simulation model of in-furnace flow, combustion, heat transfer and component transport, which is used to simulate and calculate the concentration distribution of each component in the in-furnace atmosphere field.

[0027] Specifically, the measured data of components such as H2S, SO2, and CO collected from atmosphere monitoring points are compared with the component concentrations calculated by the numerical simulation model at the corresponding locations under the same operating conditions. Based on the data differences, methods such as data assimilation and parameter inversion are used to correct and optimize the boundary conditions and reaction kinetic parameters of the simulation model, significantly improving the model's computational accuracy and adaptability on specific equipment.

[0028] In an exemplary embodiment, the coking corrosion region caused by abnormal concentration of the labeled component in S5 is used to generate coking corrosion region distribution information, specifically including: The marking component concentration abnormality causes coking corrosion area; the coking corrosion area includes not only the area where the atmosphere monitoring point is located, but also the extended area that extends along the furnace axis and radial direction.

[0029] The number of coking corrosion areas is determined based on the physical characteristics, operational features, and numerical model calculation results of the objects within the extended area, forming coking corrosion area distribution information covering potential risk points.

[0030] In an exemplary embodiment, the component concentration data sequence of the early warning point includes H2S component, SO2 component and CO component; in addition to the measured data of the atmosphere monitoring point, each type of component concentration data sequence of the early warning point also includes the calculated data of the coking corrosion area obtained by inversion calculation through the correlation model based on the physical characteristics and operating characteristics of the object, so as to form a complete early warning input sequence; the calculated data is the calculation result in the coking corrosion area determined based on the calculation result of the numerical model.

[0031] Specifically, using a modified and optimized numerical simulation model, the detailed furnace atmosphere field is simulated under various typical operating conditions, including different loads, air distribution methods, and fuel characteristics. By analyzing the spatial distribution of corrosive components such as H2S and CO, especially the concentration levels near the pipe walls, areas with high risk of coking and high-temperature corrosion due to abnormal component concentrations are identified.

[0032] The coking corrosion zone not only includes the area where monitoring points are actually located, but can also be reasonably expanded along the furnace height (axial) and width (radial) based on the physical structural characteristics, operational features, and simulation numerical model calculation results of the object, thereby covering a wider range of potential risk points. The number of coking corrosion zones is dynamically determined according to the actual situation.

[0033] Specifically, a correlation model (such as a machine learning-based mapping model) is established between the predicted concentrations of corrosive components (H2S, SO2, CO) in each marked coking corrosion zone and the measured data from all monitoring points. In actual operation, the component concentrations in all coking corrosion zones can be inverted (calculated) using real-time input monitoring point data. Ultimately, a complete sequence of component concentration data for early warning points is formed for the early warning system. This sequence includes three key components: H2S, SO2, and CO. The data for each component not only comes from the measured values ​​of 8-16 physical monitoring points but also includes data from 8-32 high-risk virtual calculation points obtained by inversion calculation from the correlation model, based on the physical characteristics and operational features of the target, thus greatly expanding the effective monitoring coverage.

[0034] In an exemplary embodiment, S7 specifically includes: For each point in the component concentration data sequence of the warning points, a multi-level warning concentration limit is set.

[0035] When real-time data exceeds the warning concentration limit, a high-temperature corrosion warning is triggered. The specific risk points and excessive components are highlighted on the furnace structure diagram, and control optimization suggestions are generated based on the corrosion mechanism and operation knowledge base. The control optimization suggestions include adjusting the air distribution or changing the burner operation mode.

[0036] In practical applications, for each point (including measured and calculated points) in the aforementioned component concentration data sequence at the warning points, multiple levels of threshold limits (such as attention, warning, and alarm) are set for the concentrations of H2S, SO2, and CO. When the concentration of any component at any point in the real-time data sequence exceeds its threshold, the system triggers the corresponding level of high-temperature corrosion warning. The warning information can be displayed intuitively on the furnace structure diagram, highlighting specific risk points and components exceeding the limit. Simultaneously, based on corrosion mechanisms and an operational knowledge base, the system can provide targeted control optimization suggestions, such as adjusting air distribution and changing burner operation methods, to guide operators in eliminating risks.

[0037] The following shutdown inspection of a coal-fired boiler revealed significant thinning and sulfide corrosion characteristics in some sections of the water-cooled wall.

[0038] Based on this, the area in S1 was initially identified as a severely corroded zone.

[0039] In S2, eight monitoring points are selected and arranged around the initial area on the two side walls, front wall, and rear wall at different heights of the furnace. Integrated sampling devices and online monitoring probes and instruments for ultraviolet fluorescence spectroscopy (for measuring H2S and SO2) and tunable semiconductor laser absorption spectroscopy (for measuring CO) are installed.

[0040] In S3, based on the precise design drawings of the boiler, a three-dimensional geometric model including the furnace, screen superheater, and high-temperature superheater is established, and corresponding meshes and boundary conditions (such as coal feed rate, air volume, and temperature) are set to establish a preliminary CFD numerical simulation model.

[0041] After the boiler was put back into operation, the measured values ​​of H2S, SO2, and CO concentrations at eight measuring points in S2 were recorded simultaneously under various typical load conditions (such as 30%, 50%, 75%, and 100% load). In S4, these measured data were compared with the simulated values ​​of the CFD model at the corresponding locations. By adjusting the turbulent mixing parameters in the model, the average relative error between the simulated and measured values ​​was reduced to less than 15%, thus completing the model correction.

[0042] In S5, a modified high-precision model is used to simulate the furnace atmosphere under different loads and air distribution conditions. For example, under a specific air distribution method, the simulated H2S concentration near the water-cooled wall exceeds 500 ppm and the CO concentration exceeds 3%. The system automatically marks this area and three adjacent grid areas extending around it as high-temperature corrosion high-risk areas. Ultimately, a total of 24 high-risk warning points, including 8 measured points, are marked.

[0043] In S6, machine learning algorithms (such as neural networks) are used to establish a nonlinear correlation model between the H2S concentrations at these 24 warning points and the measured values ​​at 8 physical monitoring points. This model is then embedded into the system. During actual operation, the system reads real-time data from the 8 monitoring points at regular intervals, inputs it into the correlation model, and instantly calculates the estimated H2S concentrations at all 24 points, forming an H2S concentration data sequence. The same method is used to process SO2 and CO, forming complete data sequences for the three components.

[0044] In S7, thresholds are set at various levels. For example, H2S concentrations are set as follows: >300ppm (Caution), >500ppm (Warning), >800ppm (Alarm). When the system detects that the real-time H2S concentration at virtual calculation point number 15 (located in a high-risk area without a physical measuring probe) reaches 520ppm through data sequence analysis, a high-temperature corrosion warning is immediately triggered. On the boiler 3D diagram on the system's main interface, this point is highlighted and flashes, and a suggestion pops up: "H2S concentration near the front wall water-cooled wall has exceeded the standard. It is recommended to increase the corresponding secondary air volume in this area to enhance the oxidizing atmosphere." After the operators make adjustments accordingly, the concentration at this point gradually decreases, and the warning is lifted.

[0045] The system for implementing the above method includes: online instruments for sampling probes and monitoring systems arranged on the boiler furnace wall, which are connected to a data acquisition unit via data cables; operating condition signals from the data acquisition unit and the distributed control system (DCS) of the power plant are connected to an industrial control server; atmospheric inversion and reconstruction software runs on the server and is connected to a real-time historical database; early warning results and optimization suggestions are displayed on the monitoring screen of the operator station in the control room.

[0046] This application provides a furnace high-temperature corrosion early warning system based on atmosphere reconstruction, including: The initial focus area generation module is used to preliminarily determine the severely affected areas of pipe wall coking and high-temperature corrosion based on the internal inspection results of the equipment, and generate the initial focus area.

[0047] The component measured data acquisition module is used to arrange atmosphere monitoring points based on dual-spectrum fusion measurement according to the initial key focus area, and to acquire component measured data through online monitoring of the atmosphere monitoring points.

[0048] The initial simulation result generation module is used to establish a numerical simulation model based on the physical model of the equipment, and to use the numerical simulation model to simulate and calculate the concentration of components in the atmosphere field inside the furnace, thereby generating initial simulation results.

[0049] The correction and optimization module is used to compare the measured data of the components with the initial simulation results, and to correct and optimize the numerical simulation model to obtain the corrected and optimized numerical simulation model.

[0050] The coking corrosion region distribution information generation module is used to reconstruct the furnace atmosphere field under different operating conditions using the modified and optimized numerical simulation model, mark the coking corrosion region caused by abnormal component concentration, and generate coking corrosion region distribution information.

[0051] The warning point component concentration data sequence generation module is used to establish a correlation between the coking corrosion area distribution information and the measured component data, and to integrate the measured and calculated data to generate the warning point component concentration data sequence.

[0052] The control optimization suggestion generation module is used to compare the component concentration data sequence of the warning point with the set warning concentration limit to realize high temperature corrosion warning and generate control optimization suggestions.

[0053] In practical applications, this atmosphere-reconstruction-based furnace high-temperature corrosion early warning system also includes: Data acquisition module: includes multiple dual-spectrum fusion atmosphere monitoring probes arranged in the furnace, used to collect H2S, SO2 and CO concentration data in real time.

[0054] Model Calculation and Reconstruction Module: Built-in correlation model, capable of reconstructing atmospheric field based on operating condition parameters and generating complete early warning point data sequence.

[0055] Database: Used to store device models, historical measured data, simulation results, correlation models, and early warning rules.

[0056] Early warning and analysis module: Used to compare data sequences with thresholds, trigger alarms, display risk areas on a visualization interface, and generate diagnostic reports and optimization suggestions.

[0057] Human-computer interaction interface: used to display the atmosphere concentration cloud map inside the furnace, the distribution of risk points, real-time / historical data curves and early warning information.

[0058] This application has the following advantages: 1. Full-coverage early warning: Through a combination of limited actual measurement and full-field simulation reconstruction, the monitoring range is expanded from a few physical measurement points to the entire furnace space, especially the coking corrosion area near the tube wall, achieving corrosion risk monitoring without blind spots.

[0059] 2. High precision and adaptability: The general simulation model is corrected and optimized by using on-site measured data, which makes the model prediction highly accurate and has a good match with specific equipment, making the early warning results more reliable.

[0060] 3. Highly instructive: It not only provides alarms, but also visualizes and locates risk areas, and gives specific operational optimization suggestions to directly guide operation and improve equipment safety and economy.

[0061] In an exemplary embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments. The computer device can be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (I / O), and a communication interface. The processor, memory, and I / O interface are connected via a system bus, and the communication interface is connected to the system bus via the I / O interface. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device stores data to be processed. The I / O interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communicating with an external terminal via a network connection. When the computer program is executed by the processor, it implements the above-described methods.

[0062] In one exemplary embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0063] In one exemplary embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above-described method embodiments.

[0064] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0065] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by hardware related to computer program instructions. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0066] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0067] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0068] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for early warning of high-temperature corrosion in a furnace based on atmosphere reconstruction, characterized in that, include: S1: Based on the internal inspection results of the equipment, the areas with severe coking and high-temperature corrosion on the pipe wall are preliminarily identified, and the initial key focus areas are generated; S2: Based on the initial focus area, arrange atmosphere monitoring points based on dual-spectral fusion measurement, and obtain the measured data of components through online monitoring of the atmosphere monitoring points; S3: Based on the physical model of the equipment, establish a numerical simulation model, and use the numerical simulation model to simulate and calculate the concentration of components in the atmosphere field inside the furnace, and generate initial simulation results; S4: Based on the comparison between the measured data of the components and the initial simulation results, the numerical simulation model is corrected and optimized to obtain the corrected and optimized numerical simulation model. S5: Using the modified and optimized numerical simulation model, reconstruct the furnace atmosphere field under different operating conditions, mark the coking corrosion area caused by abnormal component concentration, and generate coking corrosion area distribution information. S6: Establish a correlation between the coking corrosion area distribution information and the measured component data, integrate the measured and calculated data, and generate a sequence of component concentration data for early warning points; S7: Compare the component concentration data sequence at the warning point with the set warning concentration limit to realize high temperature corrosion warning and generate control optimization suggestions.

2. The furnace high-temperature corrosion early warning method based on atmosphere reconstruction according to claim 1, characterized in that, The number of atmospheric monitoring points ranges from 8 to 16. The dual-spectral fusion measurement combines ultraviolet fluorescence spectroscopy and laser absorption spectroscopy to achieve online monitoring of H2S, SO2, and CO components, thereby obtaining measured data of these components.

3. The furnace high-temperature corrosion early warning method based on atmosphere reconstruction according to claim 1, characterized in that, The numerical simulation model is a computational fluid dynamics-based numerical simulation model used to simulate and calculate the flow, combustion, heat transfer, and component transport within the furnace. Based on the data differences between the measured data of the components and the initial simulation results, the boundary conditions or reaction kinetic parameters of the numerical simulation model are corrected and optimized using data assimilation or parameter inversion methods, so that the relative error between the simulated values ​​and the measured values ​​meets the preset accuracy requirements, thereby obtaining the corrected and optimized numerical simulation model.

4. The furnace high-temperature corrosion early warning method based on atmosphere reconstruction according to claim 1, characterized in that, Mark the coking corrosion areas caused by abnormal component concentrations, and generate coking corrosion area distribution information, specifically including: Mark the coking corrosion area caused by abnormal component concentration; the coking corrosion area includes not only the area where the atmosphere monitoring point is located, but also the extended area that extends along the furnace axis and radial direction; The number of coking corrosion regions is determined based on the physical characteristics, operational features, and numerical model calculation results of the objects within the extended region, forming coking corrosion region distribution information covering potential risk points; the numerical model calculation results are three-dimensional full-space numerical model calculation results.

5. The furnace high-temperature corrosion early warning method based on atmosphere reconstruction according to claim 1, characterized in that, The component concentration data sequence at the warning points includes H2S, SO2, and CO components; In addition to the measured data of the atmosphere monitoring points, the component concentration data sequence of each type of early warning point also includes the calculated data of the coking corrosion area obtained by inversion calculation through the correlation model based on the physical characteristics and operating characteristics of the object, so as to form a complete early warning input sequence; the calculated data is the calculation result of the coking corrosion area determined based on the calculation result of the numerical model.

6. The furnace high-temperature corrosion early warning method based on atmosphere reconstruction according to claim 1, characterized in that, By comparing the component concentration data sequence at the warning points with the set warning concentration limits, high-temperature corrosion warnings are achieved, and control optimization suggestions are generated, specifically including: For each point in the component concentration data sequence of the warning points, a multi-level warning concentration limit is set; When real-time data exceeds the warning concentration limit, a high-temperature corrosion warning is triggered, and the specific risk points and excessive components are highlighted on the furnace structure diagram. Based on the corrosion mechanism and operation knowledge base, control optimization suggestions are generated. The control optimization suggestions include adjusting the air distribution or changing the burner operation mode.

7. A furnace high-temperature corrosion early warning system based on atmosphere reconstruction, characterized in that, The method for early warning of high-temperature corrosion in a furnace based on atmosphere reconstruction as described in any one of claims 1-6 includes: The initial focus area generation module is used to preliminarily determine the areas of severe coking and high-temperature corrosion on the pipe wall based on the internal inspection results of the equipment, and generate the initial focus area. The component measured data acquisition module is used to arrange atmosphere monitoring points based on dual-spectrum fusion measurement according to the initial key focus range, and to acquire component measured data through online monitoring of the atmosphere monitoring points; The initial simulation result generation module is used to establish a numerical simulation model based on the physical model of the equipment, and to use the numerical simulation model to simulate and calculate the concentration of components in the atmosphere field inside the furnace, thereby generating initial simulation results. The correction and optimization module is used to compare the measured data of the components with the initial simulation results, and to correct and optimize the numerical simulation model to obtain the corrected and optimized numerical simulation model. The coking corrosion area distribution information generation module is used to reconstruct the furnace atmosphere field under different operating conditions using the modified and optimized numerical simulation model, mark the coking corrosion area caused by abnormal component concentration, and generate coking corrosion area distribution information. The warning point component concentration data sequence generation module is used to establish a correlation between the coking corrosion area distribution information and the measured component data, and to integrate the measured and calculated data to generate the warning point component concentration data sequence. The control optimization suggestion generation module is used to compare the component concentration data sequence of the warning point with the set warning concentration limit to realize high temperature corrosion warning and generate control optimization suggestions.

8. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the furnace high-temperature corrosion early warning method based on atmosphere reconstruction as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the furnace high-temperature corrosion early warning method based on atmosphere reconstruction as described in any one of claims 1-6.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the furnace high-temperature corrosion early warning method based on atmosphere reconstruction as described in any one of claims 1-6.

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