Boiler furnace water wall life prediction method, device, system, equipment and medium

Abstract

The application discloses a boiler furnace water wall life prediction method, device and system, electronic equipment and a readable storage medium, which are applied to the technical field of electric power. The method comprises the following steps: determining a sampling area for predicting the residual life of a water wall according to temperature information of the whole area of a boiler furnace water wall; obtaining measurement data of each target water wall tube in a target area matched with a failure mode according to the selected failure mode; and calling a water wall life prediction model to calculate the residual life of the water wall based on the measurement data. The water wall life prediction model is constructed based on aging measurement data and damage measurement data of the water wall tube, and is used for predicting the residual life of the water wall under different failure modes. The application can accurately predict the life of the boiler furnace water wall tube, and effectively guarantees the safe and stable operation of a generator set.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a method, apparatus, system, electronic device, and readable storage medium for predicting the lifespan of a boiler furnace water-cooled wall. Background Technology

[0002] Water-cooled walls are the heating surfaces of boiler furnaces, consisting of multiple parallel tubes that form the inner walls around the furnace by being tightly attached to the furnace walls. Water-cooled walls absorb radiant heat from the high-temperature flames and flue gas in the furnace, converting the liquid water inside the tubes into saturated steam. Therefore, the tube walls of water-cooled walls have a high temperature. After prolonged boiler operation, the water-cooled wall tubes will experience corrosion, creep, aging, oxidation, fatigue, and may even rupture. Excessive tube wall temperature can lead to tube failure.

[0003] To ensure the safe operation of boilers, metal technical supervision is required. Among these, the metal supervision inspection of water-cooled walls is currently a component of metal technical supervision in thermal power plants. According to DL / T438-2016 "Regulations for Metal Technical Supervision of Thermal Power Plants" and DL / T-939-2005 "Technical Guidelines for Supervision and Inspection of Heating Surface Tubes of Boilers in Thermal Power Plants," for in-service units, during boiler maintenance, when conducting metal supervision inspections of the water-cooled walls, it is necessary to inspect areas with higher temperatures, and may even require cutting tubes to take samples for experimental analysis.

[0004] Currently, there are still some problems with the metal monitoring and inspection of boiler water-cooled walls. Specifically, when power plant technicians conduct metal monitoring and inspection and sampling, it is difficult to control the temperature distribution of the water-cooled wall tubes. Due to the influence of the flame distribution and flue gas flow direction inside the furnace, the temperature of the water-cooled wall tubes can easily vary significantly in both the vertical and horizontal directions. Especially in recent years, many boilers have undergone deep peak-shaving retrofits, low-NOx burner retrofits, and waste-coal blending retrofits, making these differences even more pronounced. It is difficult to ensure the accuracy of the inspection area and sampling location, resulting in a certain degree of blindness. The inspection results and sample test results are not representative, all of which lead to low accuracy of the final metal monitoring and inspection results.

[0005] Secondly, relevant technical standards in the power industry do not stipulate life assessment for water-cooled walls. When power plants conduct anti-wear and explosion-proof inspections of water-cooled walls, they basically rely on "touch and sight" or simple instrument measurements, remaining at the stage of visual inspection and preliminary testing. Generally, technicians make judgments based on on-site inspection results and experience, often resorting to tube replacement as a temporary solution, which only addresses the symptoms and not the root cause. After the unit has been running for a period of time, repeated inspections and tube replacements are required, leaving the furnace water-cooled walls in a "patched-up" state. This not only wastes a lot of manpower and resources but also hinders the safe and stable operation of the unit.

[0006] In addition, the inspection of wear and explosion prevention of heated surface tubes such as water-cooled walls in boiler furnaces cannot be limited to metal professionals alone. It requires the joint participation and coordination of multiple professionals such as boiler, operation, chemistry, and coal combustion to ensure that water-cooled wall tubes maintain a good lifespan under long-term high-temperature and high-pressure operation.

[0007] Therefore, how to accurately predict the lifespan of boiler furnace water-cooled wall tubes to ensure the safe and stable operation of generator sets is a technical problem that technical personnel in this field need to solve. Summary of the Invention

[0008] This application provides a method, apparatus, system, electronic device, and readable storage medium for predicting the lifespan of boiler furnace water-cooled wall tubes, which can accurately predict the lifespan of boiler furnace water-cooled wall tubes and effectively ensure the safe and stable operation of generator sets.

[0009] To address the aforementioned technical problems, the embodiments of the present invention provide the following technical solutions:

[0010] One embodiment of the present invention provides a method for predicting the lifespan of a boiler furnace water-cooled wall, comprising:

[0011] A water-cooled wall life prediction model is pre-constructed based on aging and damage measurement data of the water-cooled wall tubes; the water-cooled wall life prediction model is used to predict the remaining life of the water-cooled wall under different failure modes.

[0012] Based on the temperature information of the entire water-cooled wall in the boiler furnace, the target area for predicting the remaining life of the water-cooled wall is determined.

[0013] Based on the current failure mode, obtain target measurement data for each target water-cooled wall tube in the target area that matches the current failure mode;

[0014] Based on the target measurement data, the remaining lifespan of the water-cooled wall is determined by calling the water-cooled wall life prediction model.

[0015] Optionally, determining the target area for predicting the remaining lifespan of the water-cooled wall based on the temperature information of the entire water-cooled wall in the boiler furnace includes:

[0016] Acquire historical wall temperature data for all measuring points throughout the entire water-cooled wall area of ​​the boiler furnace;

[0017] Based on the average temperature of the isothermal region, the temperature difference and over-temperature time of each measuring point are automatically calculated; the over-temperature time is the duration of the temperature exceeding the preset value.

[0018] The area where the temperature difference is greater than a preset temperature threshold and the over-temperature time is greater than a preset time threshold is defined as the target area.

[0019] Optionally, acquiring historical wall temperature data for all measuring points across the entire water-cooled wall area of ​​the boiler furnace includes:

[0020] A 3D temperature field model is generated based on temperature measurement data from a temperature sensor array placed on the backfire side of the water-cooled wall.

[0021] The historical wall temperature data of all measuring points were statistically analyzed using the 3D temperature field model.

[0022] Optionally, the current failure mode is an aging mode, and the step of determining the remaining life of the water-cooled wall based on the target measurement data by calling the water-cooled wall life prediction model includes:

[0023] Based on the microstructure aging data of each target water-cooled wall, the creep life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall.

[0024] Optionally, the step of calling the creep life calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall includes:

[0025] The remaining life of the water-cooled wall is calculated by calling either the first creep life calculation formula or the second creep life calculation formula.

[0026] Wherein, the formula for calculating the first creep life is: In the formula, t rem d represents the remaining lifespan of the water-cooled wall. r The carbide coarsening limit size is given by t, where t is the running time and d is the maximum length. t Where is the coarsening size of the carbide, and K is the particle growth rate;

[0027] The second creep life calculation formula is t rem =(1-φ d )t s In the formula, φd represents the tissue aging degree, and t s This refers to the design life of the water-cooled wall tube.

[0028] Optionally, the current failure mode is a damage-creep deformation mode, and the step of determining the remaining life of the water-cooled wall based on the target measurement data by calling the water-cooled wall life prediction model includes:

[0029] Based on the damage detection data of each target water-cooled wall, the damage life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall.

[0030] Optionally, the step of calling the damage lifetime calculation formula in the water-cooled wall lifetime prediction model to calculate the remaining lifetime of the water-cooled wall includes:

[0031] The remaining life of the water-cooled wall is calculated by calling the microscopic damage life calculation formula or the creep deformation damage life calculation formula.

[0032] The formula for calculating the mesoscopic damage lifetime is as follows:

[0033]

[0034] In the formula, t rem The remaining lifetime of the water-cooled wall is given by t, the operating time is given by A, the proportion of grain boundary voids is given by n', the creep exponent is given by λ, and λ is an intermediate parameter, where λ = ε. r / ε s , ε r For creep fracture deformation, ε s This is the second stage of creep deformation;

[0035] The formula for calculating creep deformation damage lifetime is as follows:

[0036]

[0037] In the formula, ε i Let ε be the creep deformation under operating condition parameter i. ci Let t be the creep deformation limit under operating condition parameter i. s For the design life of the water-cooled wall tube, φ c This represents the creep loss rate.

[0038] Optionally, the current failure mode is the aging-damage-creep deformation mode, and the step of determining the remaining life of the water-cooled wall based on the target measurement data by calling the water-cooled wall life prediction model includes:

[0039] Based on the microstructure aging data and damage detection data of each target water-cooled wall, the creep life calculation formula or damage life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall.

[0040] Optionally, the current failure mode is fatigue damage mode, and the step of determining the remaining life of the water-cooled wall based on the target measurement data by calling the water-cooled wall life prediction model includes:

[0041] Based on the damage detection data of each target water-cooled wall, the remaining life of the water-cooled wall is calculated by calling the mesoscopic damage life calculation formula in the water-cooled wall life prediction model; or

[0042] Based on the fatigue life loss, damage detection data, and microstructure aging data of each target water-cooled wall, the fatigue life damage calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall.

[0043] Optionally, the step of calling the fatigue life damage calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall includes:

[0044] The remaining life of the water-cooled wall is calculated by calling either the first fatigue life damage calculation formula or the second fatigue life damage calculation formula.

[0045] Wherein, the first fatigue life damage calculation formula is t rem =(1-φ d -φ p )t s , In the formula, t rem φ represents the remaining lifespan of the water-cooled wall. d For tissue aging, t s For the design life of the water-cooled wall tube, φ p n represents the amount of fatigue life loss. i Let N be the number of cycles under operating condition parameter i, n be the total number of cycles, and N be the total number of cycles. pi This represents the total number of cycles under operating condition parameter i.

[0046] The second fatigue life damage calculation formula is t. rem =(1-φ c -φ p )t s In the formula, φ c This represents the creep loss rate.

[0047] Optionally, the current failure mode is a fuzzy conservative mode, and the step of determining the remaining life of the water-cooled wall based on the target measurement data by calling the water-cooled wall life prediction model includes:

[0048] The life loss rate of the water-cooled wall is determined based on the creep damage characteristics and corresponding damage levels of each target water-cooled wall.

[0049] Based on the life loss rate, the remaining life of the water-cooled wall is calculated by calling the creep damage level calculation formula in the water-cooled wall life prediction model.

[0050] Optionally, the step of calling the creep damage level calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall includes:

[0051] The remaining life of the water-cooled wall is calculated using the creep damage level calculation formula, which is:

[0052]

[0053] In the formula, trem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. r The breaking time is t / t. r This represents the lifespan loss rate.

[0054] Optionally, the water-cooled wall lifetime prediction model is:

[0055]

[0056] In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. r Let d be the fracture time. r d is the carbide coarsening limit size. t For runtime, d t Where φ is the coarsening size of the carbide, K is the particle growth rate, and φ is the particle size. d For tissue aging, t s The design life of the water-cooled wall tube is given by A, where A is the proportion of grain boundary voids, n' is the creep exponent, λ is an intermediate parameter, and φ is the design life of the water-cooled wall tube. c For creep loss rate, φ p This represents the amount of fatigue life loss.

[0057] Another embodiment of the present invention provides a boiler furnace water-cooled wall life prediction device, comprising:

[0058] The model building module is used to pre-build a water-cooled wall life prediction model based on aging measurement data and damage measurement data of the water-cooled wall tubes; the water-cooled wall life prediction model is used to predict the remaining life of the water-cooled wall under different failure modes.

[0059] The sampling module is used to determine the target area for predicting the remaining life of the water-cooled wall based on the temperature information of the entire water-cooled wall in the boiler furnace.

[0060] The data acquisition module is used to acquire target measurement data of each target water-cooled wall tube in the target area that matches the current failure mode, based on the current failure mode.

[0061] The life prediction module is used to determine the remaining life of the water-cooled wall by calling the water-cooled wall life prediction model based on the target measurement data.

[0062] This invention also provides an electronic device, including a processor, which executes a computer program stored in a memory to implement the steps of the boiler furnace water-cooled wall life prediction method as described in any of the preceding claims.

[0063] This invention also provides a readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the boiler furnace water-cooled wall life prediction method as described in any of the preceding claims.

[0064] Finally, this invention also provides a furnace water-cooled wall life prediction system, including a wall temperature data measurement device, a data transmission device, a server, and a user terminal;

[0065] The wall temperature data measurement device includes multiple temperature sensors, each of which is deployed on the backfire side of the water-cooled wall of the entire boiler furnace, and sends the temperature measurement data to the server through the data transmission device.

[0066] The server is used to execute the steps of the boiler furnace water-cooled wall life prediction method as described in any of the preceding claims when executing a computer program stored in the memory.

[0067] The client is used to send user requests to the server and respond to the user requests based on the request processing results returned by the server.

[0068] The advantages of the technical solution provided in this application are as follows: it determines the most suitable area for calculating the lifespan based on the temperature information of the entire furnace water-cooled wall, ensuring the accuracy of the sampling location and improving the accuracy of water-cooled wall lifespan prediction; it constructs a multi-dimensional calculation model for the remaining lifespan of the water-cooled wall tubes, which can calculate the remaining lifespan of the water-cooled wall under different failure modes. Users can make appropriate choices according to actual conditions, accurately predicting the lifespan of the boiler furnace water-cooled wall tubes. This is conducive to in-depth boiler anti-wear and anti-explosion tasks, reflecting the actual operating conditions of the generator unit, promoting coordination among various specialties in the power plant, avoiding repeated and ineffective inspections and tube replacement work, achieving both symptomatic and root-cause solutions, and improving the safety, stability, and economy of unit operation.

[0069] Furthermore, embodiments of the present invention also provide corresponding implementation devices, systems, electronic devices, and readable storage media for the method of predicting the lifespan of boiler furnace water-cooled walls, further making the method more practical. The devices, electronic devices, and readable storage media have corresponding advantages.

[0070] It should be understood that the above general description and the following detailed description are merely exemplary and do not limit this application. Attached Figure Description

[0071] To more clearly illustrate the technical solutions of the embodiments of the present invention or related technologies, the drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0072] Figure 1 A flowchart illustrating a method for predicting the lifespan of a boiler furnace water-cooled wall, provided in an embodiment of the present invention;

[0073] Figure 2 A schematic diagram of a 3D temperature field model for an exemplary application scenario provided in an embodiment of the present invention;

[0074] Figure 3 A schematic flowchart of another method for predicting the life of a boiler furnace water-cooled wall provided in an embodiment of the present invention;

[0075] Figure 4 A structural diagram of a specific embodiment of the boiler furnace water-cooled wall life prediction device provided in this invention;

[0076] Figure 5 A structural diagram of a specific embodiment of the electronic device provided in this invention;

[0077] Figure 6 This is a structural diagram of a specific embodiment of the boiler furnace water-cooled wall life prediction system provided in this invention. Detailed Implementation

[0078] To enable those skilled in the art to better understand the present invention, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0079] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may include steps or units not listed. Various non-limiting embodiments of this application are described in detail below.

[0080] First see Figure 1 , Figure 1This is a flowchart illustrating a method for predicting the lifespan of a boiler furnace water-cooled wall, as provided in an embodiment of the present invention. The embodiment of the present invention may include the following:

[0081] S101: A water-cooled wall life prediction model is pre-built based on aging and damage measurement data of the water-cooled wall tubes.

[0082] The water-cooled wall life prediction model in this embodiment is used to predict the remaining life of the water-cooled wall under different failure modes. It can assess the creep life and fatigue life of boiler water-cooled wall tubes. This water-cooled wall life prediction model assumes that the equivalent stress level in the water-cooled wall tube area is relatively uniform, and only considers the cumulative effect of temperature and time, without considering the influence of stress factors. Aging measurement data reflects the degree of aging of the water-cooled wall tubes, such as the coarsening size of carbides and the degree of aging in the microstructure of the water-cooled wall. Damage measurement data reflects the degree of damage to the water-cooled wall tubes, such as fatigue damage data and creep damage data. The water-cooled wall life prediction model is a model constructed considering the factors that lead to water-cooled wall failure, and the failure mode is used to represent the factors that lead to water-cooled wall failure. Different failure modes correspond to different lifetime calculation methods. For example, if the failure mode of the water-cooled wall tube is mainly aging, the accurate lifetime calculation method is based on the relationship constructed from aging test data. If the water-cooled wall tube shows significant microscopic damage and obvious creep deformation, or if the water-cooled wall tube suffers fatigue damage, the accurate lifetime calculation method is based on the relationship constructed from damage test data. If the water-cooled wall tube exhibits both aging and damage characteristics, and also undergoes creep deformation, the accurate lifetime calculation method can be based on either the relationship constructed from aging test data or the relationship constructed from damage test data. In other words, those skilled in the art can choose the lifetime calculation method that best matches the current failure mode to determine the remaining lifetime of the water-cooled wall based on the actual situation.

[0083] S102: Based on the temperature information of the entire water-cooled wall area in the boiler furnace, determine the target area for predicting the remaining life of the water-cooled wall.

[0084] The temperature information in this embodiment is obtained through any type of temperature measuring device. Due to the influence of the flame distribution and flue gas flow direction inside the furnace, as well as the boiler undergoing deep peak-shaving modifications, low-NOx burner modifications, and waste-coal blending modifications, the water-cooled wall tube temperature can easily vary significantly in both the vertical and horizontal directions. To ensure the accuracy of the water-cooled wall life calculation, it is necessary to ensure the accuracy of the sampling location, i.e., the water-cooled wall tube used to collect measurement data for calculating the remaining life of the water-cooled wall. Accordingly, the target area refers to the area where the water-cooled wall tube used to calculate the remaining life of the water-cooled wall is located. The target area includes multiple area blocks, and the number of area blocks is determined according to the actual situation.

[0085] S103: Based on the current failure mode, obtain target measurement data for each target water-cooled wall tube in the target area that matches the current failure mode.

[0086] In this embodiment, the target water-cooled wall tube refers to the water-cooled wall tube located in the target area. The target measurement data is the data used to characterize the factors that cause the failure of the water-cooled tube. For example, if the failure mode of the water-cooled wall tube is mainly aging, the target measurement data can be the coarsening size of carbides and the degree of aging of the microstructure in each target water-cooled wall tube.

[0087] S104: Based on the target measurement data, call the water-cooled wall life prediction model to determine the remaining life of the water-cooled wall.

[0088] In the technical solution provided by the embodiments of the present invention, the most suitable area for calculating the lifespan is determined based on the temperature information of the entire furnace water-cooled wall, ensuring the accuracy of the sampling location and improving the accuracy of water-cooled wall lifespan prediction. A multi-dimensional calculation model for the remaining lifespan of the water-cooled wall tubes is constructed, which can calculate the remaining lifespan of the water-cooled wall under different failure modes. Users can make appropriate choices according to the actual situation, accurately predict the lifespan of the boiler furnace water-cooled wall tubes, which is conducive to carrying out boiler anti-wear and anti-explosion tasks at a deeper level, reflecting the actual operating conditions of the generator unit, promoting the coordination between various professional departments in the power plant, avoiding repeated and ineffective inspections and tube replacement work, achieving both symptomatic and radical treatment, and improving the safety, stability and economy of unit operation.

[0089] In the above embodiments, no limitation is made on the method of selecting the target area. This embodiment also provides a method for determining the target area, which may include the following steps:

[0090] Acquire historical wall temperature data for all measuring points throughout the entire water-cooled wall area of ​​the boiler furnace;

[0091] Based on the average temperature of the isothermal region, the temperature difference and over-temperature time of each measuring point are automatically calculated; the area where the measuring point has a temperature difference greater than the preset temperature threshold and an over-temperature time greater than the preset time threshold is selected as the target area.

[0092] In this embodiment, the measuring points are the locations where temperature data acquisition equipment is deployed. The entire furnace water-cooled wall is divided into multiple regions. Isothermal regions refer to areas with the same or very small temperature differences. The average temperature of the isothermal regions is the average of the temperature values ​​of all isothermal regions, which serves as the reference temperature. The over-temperature time is the duration of exceeding the preset temperature value. The preset temperature value, preset temperature threshold, and preset time threshold can be flexibly selected according to actual conditions.

[0093] As an optional implementation, the target area can be determined based on a 3D temperature field model. This model is generated from temperature measurement data of a temperature sensor array placed on the backfire side of the water-cooled wall, providing feedback on the temperature distribution information of the entire furnace water-cooled wall. The temperature sensor array is arranged in a grid pattern according to the furnace structure and the wall temperature measuring points. To facilitate visual inspection or tube cutting for sampling, each temperature measuring point constitutes a basic unit of the 3D temperature field model. Each basic unit is displayed in color, with different color depths representing different temperature regions; the darker the color, the higher the temperature. Regions with the same color are defined as isothermal regions (e.g., ...). Figure 2 As shown in 7-1 to 7-3), the darker areas in the isothermal region are the overheated regions (e.g., ...). Figure 2 (As shown in 7-4 to 7-6). When technicians perform metal surveillance inspections, they can easily move the metal from the isothermal zone (e.g., Figure 2 The overheated region was identified in 7-1 to 7-3 (as shown). Figure 2 (See Figures 7-4 to 7-6). Using a 3D temperature field model, historical wall temperature data for all measuring points can be statistically analyzed. Using the average temperature of the isothermal region as the baseline temperature, the temperature difference and overheating time at each measuring point are automatically calculated. Measuring points with larger positive temperature differences and longer overheating times are identified as overheating blocks, which are also part of the target area. Larger temperature difference blocks over short periods are mainly due to brief instability in combustion within the furnace and can be ignored.

[0094] The above embodiments do not limit how to predict the remaining lifespan of the water-cooled wall; please refer to [link / reference]. Figure 3 This application also provides an implementation method for predicting the remaining lifespan of water-cooled walls in an optional embodiment, which may include the following:

[0095] If the current failure mode is aging, the carbide coarsening size of each target water-cooled wall tube in the target area is obtained as target measurement data. Based on the microstructure aging degree of each target water-cooled wall, the creep life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall. This embodiment is a quantitative assessment of the microstructure aging of the water-cooled wall. The creep life of the water-cooled wall is determined by measuring the carbide coarsening size in the microstructure, which belongs to the solution in the theory of microscopic metal physics.

[0096] If the current failure mode is aging, the microstructure aging degree of each target water-cooled wall tube in the target area is obtained as target measurement data. Based on the microstructure aging degree data of each target water-cooled wall, the creep life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall. This embodiment is a quantitative assessment of the microstructure aging of the target water-cooled wall. The creep life of the water-cooled wall is determined by measuring the microstructure aging degree, which belongs to the solution in the theory of microscopic metal physics.

[0097] For water-cooled walls whose failure mode is mainly aging, the microstructure aging data in this embodiment can be the carbide coarsening size or the degree of tissue aging. In practical applications, the first creep life calculation formula or the second creep life calculation formula can be called to calculate the remaining life of the water-cooled wall.

[0098] The formula for calculating the first creep life is as follows: In the formula, t rem For the remaining lifespan of the water-cooled wall, d r For the carbide coarsening limit size, power plants commonly use low alloy steel with a d value of [missing value]. r The value can be taken as 0.5~0.55um, t is the running time, and d is the value of ... t Where K is the coarsening size of the carbide, and K is the particle growth rate; K = K0exp(BT) = Δd 3 / △t, K0 and B are material constants. The value of K remains basically unchanged, especially in the middle and later stages, and can be obtained through experiments.

[0099] The formula for calculating the second creep life is t. rem =(1-φ d )t s In the formula, φd represents the tissue aging degree, and t s This refers to the design life of the water-cooled wall tubes.

[0100] If the current failure mode is a damage-creep deformation mode, meaning the water-cooled wall tubes exhibit significant microscopic damage and obvious creep deformation, damage detection data of each target water-cooled wall tube in the target area is acquired as target measurement data. Based on the damage detection data of each target water-cooled wall, the damage life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall. As an optional implementation, damage detection and evaluation of each target water-cooled wall tube can be performed through metallographic testing. In other words, this embodiment pre-conducts metallographic testing on each target water-cooled wall tube and uses the A-parameter method for quantitative evaluation of grain boundary voids. This falls under the solution of microscopic damage mechanics theory. As another optional implementation, creep measurement can also be performed on each target water-cooled wall tube to calculate the creep deformation life loss, which falls under the solution of phenomenological theory. In practical applications, the remaining life of the water-cooled wall can be calculated by calling the microscopic damage life calculation formula or the creep deformation damage life calculation formula.

[0101] The formula for calculating mesoscopic damage lifetime can be expressed as:

[0102]

[0103] In the formula, t remLet t be the remaining lifetime of the water-cooled wall, t be the operating time, A be the proportion of grain boundary voids, n' be the creep exponent, and λ be an intermediate parameter, where λ = ε. r / ε s , ε r For creep fracture deformation, ε s This is the second stage of creep deformation;

[0104] The formula for calculating creep deformation damage life can be expressed as:

[0105] t rem =(1-φ c )t s ,

[0106] In the formula, ε i Let ε be the creep deformation under operating condition parameter i. ci Let t be the creep deformation limit under operating condition parameter i. s For the design life of the water-cooled wall tubes, φ c This refers to the creep loss rate. When the creep loss rate φ c When ε = 1.0, the creep life ends. Currently, according to the requirements of my country's metal technical supervision regulations, the creep life of low alloy steel pipes... ci =2.5%, carbon steel pipe ε ci =3.5%.

[0107] If the current failure mode is the aging-damage-creep deformation mode, that is, the water-cooled wall tube is damaged due to fatigue, the remaining life of the water-cooled wall is calculated by calling the microscopic damage life calculation formula in the water-cooled wall life prediction model based on the damage detection data of each target water-cooled wall; or the remaining life of the water-cooled wall is calculated by calling the fatigue life damage calculation formula in the water-cooled wall life prediction model based on the fatigue life loss, damage detection data and microstructure aging data of each target water-cooled wall.

[0108] The fatigue life loss assessment requires fatigue crack inspection of the water-cooled wall tubes. The fatigue crack inspection process involves: using a 3D temperature field model, statistically analyzing historical wall temperature data at various temperature measuring points within the target area; automatically calculating wall temperature changes at each measuring point during generator start-up and shutdown, large load fluctuations, and changes in combustion mode, including temperature gradient values ​​and response times. A large temperature gradient value and a short response time can be considered a fatigue cycle. Conversely, a long response time, even with a large temperature gradient, can be considered a gradual temperature change, unlikely to generate thermal stress, and should not be included in the fatigue cycle calculation. The fatigue crack inspection of the target water-cooled wall tubes and the calculation of fatigue life loss are based on phenomenological theory.

[0109] In practical applications, the remaining life of the water-cooled wall can be calculated by calling the first fatigue life damage calculation formula or the second fatigue life damage calculation formula.

[0110] The formula for calculating the damage during the first fatigue life is t. rem =(1-φ d -φ p )t s , In the formula, t rem For the remaining life of the water-cooled wall, φ d For tissue aging, t s For the design life of the water-cooled wall tubes, φ p n represents the amount of fatigue life loss. i Let N be the number of cycles under operating condition parameter i, n be the total number of cycles, and N be the total number of cycles. pi The total number of cycles under operating condition parameter i; when the fatigue wear rate φ p When the value is 1.0, the fatigue life ends.

[0111] The formula for calculating the second fatigue life damage is t. rem =(1-φ c -φ p )t s In the formula, φ c This represents the creep loss rate.

[0112] If the current failure mode is fuzzy conservative, the creep damage characteristics and corresponding damage levels of each target water-cooled wall tube within the target area are obtained as target measurement data. Based on the creep damage characteristics and corresponding damage levels of each target water-cooled wall, the life loss rate of the water-cooled wall is determined. Based on the life loss rate, the creep damage level calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall. Specifically, creep damage characteristics are determined through metallographic testing, and then creep damage rating is performed. In other words, the creep damage level is determined by metallographic testing and then rated. In this embodiment, the creep damage level can be set to five levels: A, B, C, D, and E. Level A indicates the presence of a small number of isolated pores in the tissue; Level B indicates the presence of a large number of oriented pores; Level C indicates that the pores have aggregated and connected, and microcracks have begun to appear; Level D indicates that the microcracks have connected and formed macrocracks; and Level E indicates that the macrocracks have expanded and cracked, i.e., failure has occurred. Finally, a direct relationship is established between creep damage level and creep loss rate. Creep damage levels A, B, C, D, and E correspond to lifetime loss rates of 0.2, 0.4, 0.6, 0.8, and 1.0, respectively. Calculating the remaining lifetime by measuring the creep damage level is a fuzzy conservative solution. In practical applications, the remaining lifetime of the water-cooled wall can be calculated using the creep damage level calculation formula, which is:

[0113]

[0114] In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. r The breaking time is t / t. r This represents the lifespan loss rate.

[0115] It should be noted that there is no strict order of execution for the steps in this application. As long as they conform to a logical order, these steps can be executed simultaneously or in a certain preset order. Figures 1-2 This is just an illustrative example and does not mean that this is the only possible execution order.

[0116] The above embodiments do not limit the water-cooled wall life prediction model in any way. This application also provides an optional implementation method, which may include the following:

[0117] The water-cooled wall lifetime prediction model in this embodiment can be expressed as follows:

[0118]

[0119] In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. r Let d be the fracture time. r d is the carbide coarsening limit size. t For runtime, d t Where φ is the coarsening size of the carbide, K is the particle growth rate, and φ is the particle size. d For tissue aging, t s The design life of the water-cooled wall tube is given by A, where A is the proportion of grain boundary voids, n' is the creep exponent, λ is an intermediate parameter, and φ is the design life of the water-cooled wall tube. c For creep loss rate, φ p This represents the amount of fatigue life loss.

[0120] In this embodiment, those skilled in the art can select a suitable solution formula from the above-mentioned water-cooled wall life prediction model according to the failure mode of the water-cooled wall. If the failure mode of the water-cooled wall tube is mainly aging, the accurate life calculation formula is formula (1). If the microscopic damage of the water-cooled wall tube is obvious and obvious creep deformation occurs, the accurate life calculation formula is formula (2) or formula (3). If the water-cooled wall tube shows both aging and damage characteristics and creep deformation occurs, the accurate life calculation formula is formula (1), formula (2), or formula (3). Of course, if fatigue damage of the water-cooled wall tube is considered, formula (2), (4), or formula (5) can be selected. If only a fuzzy conservative solution is performed on the water-cooled wall tube, formula (6) can be selected.

[0121] This invention also provides a corresponding device for predicting the lifespan of boiler furnace water-cooled walls, further enhancing the practicality of the method. The device can be described from both a functional module and hardware perspective. The following describes the boiler furnace water-cooled wall lifespan prediction device provided by this invention. The boiler furnace water-cooled wall lifespan prediction device described below can be referred to in conjunction with the boiler furnace water-cooled wall lifespan prediction method described above.

[0122] From the perspective of functional modules, see Figure 4 , Figure 4 This is a structural diagram of a boiler furnace water-cooled wall life prediction device provided in an embodiment of the present invention. The device may include:

[0123] The model building module 401 is used to pre-build a water-cooled wall life prediction model based on the aging measurement data and damage measurement data of the water-cooled wall tubes; the water-cooled wall life prediction model is used to predict the remaining life of the water-cooled wall under different failure modes.

[0124] The sampling module 402 is used to determine the target area for predicting the remaining life of the water-cooled wall based on the temperature information of the entire water-cooled wall in the boiler furnace.

[0125] The data acquisition module 403 is used to acquire target measurement data of each target water-cooled wall tube in the target area that matches the current failure mode, based on the current failure mode.

[0126] The life prediction module 404 is used to determine the remaining life of the water-cooled wall by calling the water-cooled wall life prediction model based on the target measurement data.

[0127] Optionally, in some embodiments of this example, the sampling module 402 may be further used to: acquire historical wall temperature data of all measuring points in the entire area of ​​the water-cooled wall of the boiler furnace; automatically calculate the temperature difference and over-temperature time of each measuring point based on the average temperature of the isothermal region; the over-temperature time is the duration of exceeding the preset temperature value; and take the area where the measuring point has a temperature difference greater than the preset temperature threshold and an over-temperature time greater than the preset time threshold as the target area.

[0128] As an optional implementation of the above embodiment, the sampling module 402 can be further used to: generate a 3D temperature field model based on the temperature measurement data of the temperature sensor array placed on the backfire side of the water-cooled wall; and statistically analyze the historical wall temperature data of all measuring points through the 3D temperature field model.

[0129] Optionally, in some other embodiments of this example, the above-mentioned lifetime prediction module 404 may include an aging calculation unit, which is used to calculate the remaining lifetime of the water-cooled wall by calling the creep lifetime calculation formula in the water-cooled wall lifetime prediction model based on the microstructure aging data of each target water-cooled wall when the current failure mode is the aging mode.

[0130] The damage creep calculation unit is used when the current failure mode is damage-creep deformation mode. Based on the damage detection data of each target water-cooled wall, it calls the damage lifetime calculation formula in the water-cooled wall lifetime prediction model to calculate the remaining lifetime of the water-cooled wall.

[0131] The integrated mode calculation unit is used when the current failure mode is aging-damage-creep. Based on the microstructure aging data and damage detection data of each target water-cooled wall, it calls the creep life calculation formula or damage life calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall.

[0132] The fatigue damage calculation unit is used when the current failure mode is fatigue damage mode. Based on the damage detection data of each target water-cooled wall, it calls the microscopic damage life calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall; or based on the fatigue life loss, damage detection data and microstructure aging data of each target water-cooled wall, it calls the fatigue life damage calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall.

[0133] The fuzzy conservative calculation unit is used when the current failure mode is fuzzy conservative mode. Based on the creep damage characteristics and corresponding damage levels of each target water-cooled wall, it determines the life loss rate of the water-cooled wall. Based on the life loss rate, it calls the creep damage level calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall.

[0134] As an optional implementation of the above embodiments, the aging calculation unit can also be used for:

[0135] The remaining life of the water-cooled wall is calculated by calling either the first creep life calculation formula or the second creep life calculation formula.

[0136] The formula for calculating the first creep life is as follows: In the formula, t rem For the remaining lifespan of the water-cooled wall, d r The carbide coarsening limit size is given by t, where t is the running time and d is the maximum length. t Where is the coarsening size of the carbide, and K is the particle growth rate;

[0137] The formula for calculating the second creep life is t. rem =(1-φ d )ts In the formula, φd represents the tissue aging degree, and t s This refers to the design life of the water-cooled wall tubes.

[0138] As another optional implementation of the above embodiments, the damage creep calculation unit can also be used to: call the microscopic damage lifetime calculation formula or the creep deformation damage lifetime calculation formula to calculate the remaining lifetime of the water-cooled wall.

[0139] The formula for calculating mesoscopic damage lifetime is as follows:

[0140]

[0141] In the formula, t rem Let t be the remaining lifetime of the water-cooled wall, t be the operating time, A be the proportion of grain boundary voids, n' be the creep exponent, and λ be an intermediate parameter, where λ = ε. r / ε s , ε r For creep fracture deformation, ε s This is the second stage of creep deformation;

[0142] The formula for calculating creep deformation damage life is as follows:

[0143] t rem =(1-φ c )t s ,

[0144] In the formula, ε i Let ε be the creep deformation under operating condition parameter i. ci Let t be the creep deformation limit under operating condition parameter i. s For the design life of the water-cooled wall tubes, φ c This represents the creep loss rate.

[0145] As another optional implementation of the above embodiments, the fatigue damage calculation unit can be further used to: call the first fatigue life damage calculation formula or the second fatigue life damage calculation formula to calculate the remaining life of the water-cooled wall.

[0146] The formula for calculating the damage during the first fatigue life is t. rem =(1-φ d -φ p )t s , In the formula, t rem For the remaining life of the water-cooled wall, φ d For tissue aging, t s For the design life of the water-cooled wall tubes, φ p n represents the amount of fatigue life loss. iLet N be the number of cycles under operating condition parameter i, n be the total number of cycles, and N be the total number of cycles. pi This represents the total number of cycles under operating condition parameter i.

[0147] The formula for calculating the second fatigue life damage is t. rem =(1-φ c -φ p )t s In the formula, φ c This represents the creep loss rate.

[0148] As another optional implementation of the above embodiments, the fuzzy conservative calculation unit can also be used to calculate the remaining life of the water-cooled wall by calling the creep damage level calculation formula, which is:

[0149]

[0150] In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. r The breaking time is t / t. r This represents the lifespan loss rate.

[0151] Optionally, in some further embodiments of this example, the above-mentioned water-cooled wall life prediction model can be expressed as:

[0152]

[0153] In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. r Let d be the fracture time. r d is the carbide coarsening limit size. t For runtime, d t Where φ is the coarsening size of the carbide, K is the particle growth rate, and φ is the particle size. d For tissue aging, t s The design life of the water-cooled wall tube is given by A, where A is the proportion of grain boundary voids, n' is the creep exponent, λ is an intermediate parameter, and φ is the design life of the water-cooled wall tube. c For creep loss rate, φ p This represents the amount of fatigue life loss.

[0154] The functions of each module of the boiler furnace water-cooled wall life prediction device in this embodiment of the invention can be specifically implemented according to the methods in the above method embodiments. The specific implementation process can be referred to the relevant descriptions in the above method embodiments, which will not be repeated here.

[0155] As can be seen from the above, the embodiments of the present invention can accurately predict the lifespan of the boiler furnace water-cooled wall tubes, effectively ensuring the safe and stable operation of the generator set.

[0156] The boiler furnace water-cooled wall life prediction device mentioned above is described from the perspective of functional modules. Furthermore, this application also provides an electronic device, which is described from the perspective of hardware. Figure 5 This is a schematic diagram of the structure of the electronic device provided in one embodiment of this application. For example... Figure 5 As shown, the electronic device includes a memory 50 for storing a computer program; and a processor 51 for executing the computer program to implement the steps of the boiler furnace water-cooled wall life prediction method as described in any of the above embodiments.

[0157] The processor 51 may include one or more processing cores, such as a quad-core processor or an octa-core processor. The processor 51 may also be a controller, microcontroller, microprocessor, or other data processing chip. The processor 51 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 51 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, the processor 51 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, the processor 51 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0158] The memory 50 may include one or more computer-readable storage media, which may be non-transitory. The memory 50 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the memory 50 may be an internal storage unit of an electronic device, such as a server hard drive. In other embodiments, the memory 50 may be an external storage device of an electronic device, such as a plug-in hard drive on a server, a smart media card (SMC), a secure digital card (SD), a flash card, etc. Furthermore, the memory 50 may include both internal and external storage units of the electronic device. The memory 50 can be used not only to store application software and various types of data installed on the electronic device, such as code in the process of executing the boiler furnace water-cooled wall life prediction method, but also to temporarily store data that has been output or will be output. In this embodiment, the memory 50 is used to store at least the following computer program 501, which, after being loaded and executed by the processor 51, can implement the relevant steps of the boiler furnace water-cooled wall life prediction method disclosed in any of the foregoing embodiments. In addition, the resources stored in memory 50 may also include operating system 502 and data 503, and the storage method may be temporary storage or permanent storage. Operating system 502 may include Windows, Unix, Linux, etc. Data 503 may include, but is not limited to, data corresponding to the predicted lifespan of boiler furnace water-cooled walls.

[0159] In some embodiments, the aforementioned electronic device may further include a display screen 52, an input / output interface 53, a communication interface 54 (or network interface), a power supply 55, and a communication bus 56. The display screen 52 and input / output interface 53, such as a keyboard, are user interfaces; optional user interfaces may also include standard wired interfaces, wireless interfaces, etc. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a display screen or display unit, used to display information processed in the electronic device and to display a visual user interface. The communication interface 54 may optionally include a wired interface and / or a wireless interface, such as a Wi-Fi interface, a Bluetooth interface, etc., typically used to establish communication connections between the electronic device and other electronic devices. The communication bus 56 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. This bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0160] Those skilled in the art will understand that Figure 5 The structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, such as sensors 57 that perform various functions.

[0161] The functions of each functional module of the electronic device in the embodiments of the present invention can be specifically implemented according to the methods in the above method embodiments. The specific implementation process can be referred to the relevant descriptions in the above method embodiments, which will not be repeated here.

[0162] As can be seen from the above, the embodiments of the present invention can accurately predict the lifespan of the boiler furnace water-cooled wall tubes, effectively ensuring the safe and stable operation of the generator set.

[0163] It is understood that if the boiler furnace water-cooled wall life prediction method in the above embodiments is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and executes all or part of the steps of the methods in the various embodiments of this application. The aforementioned storage medium includes: USB flash drive, mobile hard disk, read-only memory (ROM), random access memory (RAM), electrically erasable programmable ROM, register, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, removable disk, CD-ROM, magnetic disk or optical disk, and other media capable of storing program code.

[0164] Based on this, embodiments of the present invention also provide a readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the steps of the boiler furnace water-cooled wall life prediction method of any of the above embodiments are as follows.

[0165] Finally, this invention also provides a boiler furnace water-cooled wall life prediction system, please refer to [link / reference]. Figure 6 It may include the following:

[0166] The boiler furnace water-cooled wall life prediction system may include a wall temperature data measurement device 61, a data transmission device 62, a server 63, and a user terminal 64;

[0167] The wall temperature data measurement device 61 includes multiple temperature sensors, such as thermocouples, deployed on the backfire side of the water-cooled wall of the boiler furnace 60. It transmits temperature measurement data to the server 63 via the data transmission device 62. The server 63 executes the computer program stored in its memory to implement the steps of the boiler furnace water-cooled wall life prediction method as described in any of the previous embodiments. The client 64 sends user requests (such as a current failure mode selection request) to the server 63 and responds to the user request based on the request processing result returned by the server 63 (such as the remaining life of the water-cooled wall calculated based on the current failure mode). The data transmission device 62 can use wired or wireless transmission methods; this application makes no limitation on this.

[0168] In this embodiment, wall temperature data is measured using a wall temperature data measuring device 61. Since the flue gas scouring inside the boiler furnace is severe, the wall temperature data measuring device 61 can be positioned on the back-fire side of the water-cooled wall tubes in the boiler furnace to indirectly provide feedback on the temperature distribution of the water-cooled wall tubes towards the fire side. It covers the lower, middle, transition, and upper water-cooled wall areas of the furnace from bottom to top, forming a "grid" distribution. The spacing between each temperature measuring point is moderate and can be adjusted according to the boiler furnace structure and burner arrangement. For example, measuring points can be placed near the boundary areas where the material and specifications of the tubes change, and additional measuring points can be added in areas such as the burner and soot blower that may affect the flue gas flow direction.

[0169] The functions of each module of the boiler furnace water-cooled wall life prediction system described in this embodiment of the invention can be specifically implemented according to the methods in the above method embodiments. The specific implementation process can be referred to the relevant descriptions in the above method embodiments, which will not be repeated here.

[0170] As can be seen from the above, the embodiments of the present invention can accurately predict the lifespan of the boiler furnace water-cooled wall tubes, effectively ensuring the safe and stable operation of the generator set.

[0171] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the hardware disclosed in the embodiments, including devices and electronic equipment, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0172] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0173] The foregoing has provided a detailed description of a method, apparatus, system, electronic device, and readable storage medium for predicting the lifespan of a boiler furnace water-cooled wall. Specific examples have been used to illustrate the principles and implementation methods of the invention. The descriptions of these embodiments are merely illustrative of the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from the principles of the invention, and these improvements and modifications also fall within the scope of protection of the claims.

Claims

1. A method for predicting the lifespan of a boiler furnace water-cooled wall, characterized in that, include: A water-cooled wall life prediction model is pre-constructed based on aging and damage measurement data of the water-cooled wall tubes; the water-cooled wall life prediction model is used to predict the remaining life of the water-cooled wall under different failure modes. Based on the temperature information of the entire water-cooled wall in the boiler furnace, the target area for predicting the remaining life of the water-cooled wall is determined. Based on the current failure mode, obtain target measurement data for each target water-cooled wall tube in the target area that matches the current failure mode; Based on the target measurement data, the remaining lifespan of the water-cooled wall is determined by calling the water-cooled wall life prediction model. The current failure mode is the aging mode. The remaining life of the water-cooled wall is calculated by calling the first creep life calculation formula or the second creep life calculation formula. Wherein, the formula for calculating the first creep life is: In the formula, t rem d represents the remaining lifespan of the water-cooled wall. r The carbide coarsening limit size is given by t, where t is the running time and d is the maximum length. t Where K is the coarsening size of the carbide and K is the particle growth rate; the second creep lifetime calculation formula is: In the formula, d For tissue aging, t s The design life of the water-cooled wall tube; The current failure mode is the damage-creep deformation mode. Based on the damage detection data of each target water-cooled wall, the damage life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall. The damage life calculation formula in the water-cooled wall life prediction model is called as follows: the remaining life of the water-cooled wall is calculated by calling the microscopic damage life calculation formula or the creep deformation damage life calculation formula. The formula for calculating the mesoscopic damage lifetime is as follows: ； In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. A This represents the proportion of voids at grain boundaries. The creep exponent is λ, and λ is an intermediate parameter, λ = ε. r / ε s , ε r For creep fracture deformation, ε s This is the second stage of creep deformation; The formula for calculating creep deformation damage lifetime is as follows: ， ； In the formula, ε i Let ε be the creep deformation under operating condition parameter i. ci Let t be the creep deformation limit under operating condition parameter i. s The design life of the water-cooled wall tube, c This represents the creep loss rate.

2. The method for predicting the lifespan of boiler furnace water-cooled walls according to claim 1, characterized in that, The step of determining the target area for predicting the remaining lifespan of the water-cooled wall based on the temperature information of the entire boiler furnace water-cooled wall includes: Acquire historical wall temperature data for all measuring points throughout the entire water-cooled wall area of ​​the boiler furnace; Based on the average temperature of the isothermal region, the temperature difference and over-temperature time of each measuring point are automatically calculated; the over-temperature time is the duration of the temperature exceeding the preset value. The area where the temperature difference is greater than a preset temperature threshold and the over-temperature time is greater than a preset time threshold is defined as the target area.

3. The method for predicting the lifespan of boiler furnace water-cooled walls according to claim 2, characterized in that, The acquisition of historical wall temperature data for all measuring points throughout the entire water-cooled wall area of ​​the boiler furnace includes: A 3D temperature field model is generated based on temperature measurement data from a temperature sensor array placed on the backfire side of the water-cooled wall. The historical wall temperature data of all measuring points were statistically analyzed using the 3D temperature field model.

4. The method for predicting the lifespan of boiler furnace water-cooled walls according to claim 1, characterized in that, The current failure mode is the aging mode. The step of determining the remaining lifespan of the water-cooled wall based on the target measurement data and calling the water-cooled wall life prediction model includes: Based on the microstructure aging data of each target water-cooled wall, the creep life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall.

5. The method for predicting the lifespan of boiler furnace water-cooled walls according to claim 1, characterized in that, The current failure mode is the aging-damage-creep deformation mode. The step of determining the remaining lifespan of the water-cooled wall based on the target measurement data and calling the water-cooled wall life prediction model includes: Based on the microstructure aging data and damage detection data of each target water-cooled wall, the creep life calculation formula or damage life calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall.

6. The method for predicting the lifespan of boiler furnace water-cooled walls according to claim 1, characterized in that, The current failure mode is fatigue damage mode. The step of determining the remaining life of the water-cooled wall based on the target measurement data and calling the water-cooled wall life prediction model includes: Based on the damage detection data of each target water-cooled wall, the remaining life of the water-cooled wall is calculated by calling the mesoscopic damage life calculation formula in the water-cooled wall life prediction model; or Based on the fatigue life loss, damage detection data, and microstructure aging data of each target water-cooled wall, the fatigue life damage calculation formula in the water-cooled wall life prediction model is called to calculate the remaining life of the water-cooled wall.

7. The method for predicting the lifespan of boiler furnace water-cooled walls according to claim 6, characterized in that, The step of calling the fatigue life damage calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall includes: The remaining life of the water-cooled wall is calculated by calling either the first fatigue life damage calculation formula or the second fatigue life damage calculation formula. Wherein, the first fatigue life damage calculation formula is t rem =(1- d - p )t s , In the formula, t rem The remaining lifespan of the water-cooled wall. d For tissue aging, t s The design life of the water-cooled wall tube, p n represents the amount of fatigue life loss. i Let N be the number of cycles under operating condition parameter i, n be the total number of cycles, and N be the total number of cycles. pi This represents the total number of cycles under operating condition parameter i. The second fatigue life damage calculation formula is t. rem =(1- c - p )t s In the formula, c This represents the creep loss rate.

8. The method for predicting the lifespan of boiler furnace water-cooled walls according to claim 1, characterized in that, The current failure mode is a fuzzy conservative mode. The step of determining the remaining lifespan of the water-cooled wall based on the target measurement data and calling the water-cooled wall life prediction model includes: The life loss rate of the water-cooled wall is determined based on the creep damage characteristics and corresponding damage levels of each target water-cooled wall. Based on the life loss rate, the remaining life of the water-cooled wall is calculated by calling the creep damage level calculation formula in the water-cooled wall life prediction model.

9. The method for predicting the lifespan of a boiler furnace water-cooled wall according to claim 8, characterized in that, The step of calling the creep damage level calculation formula in the water-cooled wall life prediction model to calculate the remaining life of the water-cooled wall includes: The remaining life of the water-cooled wall is calculated using the creep damage level calculation formula, which is: ； In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. r The breaking time is t / t. r This represents the lifespan loss rate.

10. The method for predicting the lifespan of a boiler furnace water-cooled wall according to any one of claims 1 to 9, characterized in that, The water-cooled wall lifetime prediction model is as follows: ； In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. r Let d be the fracture time. r d is the carbide coarsening limit size. t For runtime, d t Where K is the coarsening size of the carbide, and K is the particle growth rate. d For tissue aging, t s The design life of the water-cooled wall tube, A This represents the proportion of voids at grain boundaries. The creep exponent is λ, and λ is an intermediate parameter. c For creep loss rate, p This represents the amount of fatigue life loss.

11. A device for predicting the lifespan of a boiler furnace water-cooled wall, characterized in that, include: The model building module is used to pre-build a water-cooled wall life prediction model based on aging measurement data and damage measurement data of the water-cooled wall tubes; the water-cooled wall life prediction model is used to predict the remaining life of the water-cooled wall under different failure modes. The sampling module is used to determine the target area for predicting the remaining life of the water-cooled wall based on the temperature information of the entire water-cooled wall in the boiler furnace. The data acquisition module is used to acquire target measurement data of each target water-cooled wall tube in the target area that matches the current failure mode, based on the current failure mode. The life prediction module is used to determine the remaining life of the water-cooled wall by calling the water-cooled wall life prediction model based on the target measurement data. The lifetime prediction module is further used to: if the current failure mode is the aging mode, call the first creep lifetime calculation formula or the second creep lifetime calculation formula to calculate the remaining lifetime of the water-cooled wall. Wherein, the formula for calculating the first creep life is: In the formula, t rem d represents the remaining lifespan of the water-cooled wall. r The carbide coarsening limit size is given by t, where t is the running time and d is the maximum length. t Where K is the coarsening size of the carbide and K is the particle growth rate; the second creep lifetime calculation formula is: In the formula, d For tissue aging, t s The design life of the water-cooled wall tube; The lifetime prediction module is further used to: if the current failure mode is a damage-creep deformation mode, based on the damage detection data of each target water-cooled wall, call the damage lifetime calculation formula in the water-cooled wall lifetime prediction model to calculate the remaining lifetime of the water-cooled wall. The damage life calculation formula in the water-cooled wall life prediction model is called as follows: the remaining life of the water-cooled wall is calculated by calling the microscopic damage life calculation formula or the creep deformation damage life calculation formula. The formula for calculating the mesoscopic damage lifetime is as follows: ； In the formula, t rem The remaining lifespan of the water-cooled wall is given by t, where t is the operating time. A This represents the proportion of voids at grain boundaries. The creep exponent is λ, and λ is an intermediate parameter, λ = ε. r / ε s , ε r For creep fracture deformation, ε s This is the second stage of creep deformation; The formula for calculating creep deformation damage lifetime is as follows: ， ； In the formula, ε i Let ε be the creep deformation under operating condition parameter i. ci Let t be the creep deformation limit under operating condition parameter i. s The design life of the water-cooled wall tube, c This represents the creep loss rate.

12. An electronic device, characterized in that, It includes a processor and a memory, the processor being used to execute a computer program stored in the memory to implement the steps of the boiler furnace water-cooled wall life prediction method as described in any one of claims 1 to 10.

13. A readable storage medium, characterized in that, The readable storage medium stores a computer program that, when executed by a processor, implements the steps of the boiler furnace water-cooled wall life prediction method as described in any one of claims 1 to 10.

14. A boiler furnace water-cooled wall life prediction system, characterized in that, It includes a wall temperature data measurement device, a data transmission device, a server, and a user terminal; The wall temperature data measurement device includes multiple temperature sensors, each of which is deployed on the backfire side of the water-cooled wall of the entire boiler furnace, and sends the temperature measurement data to the server through the data transmission device. The server is used to execute the steps of the boiler furnace water-cooled wall life prediction method as described in any one of claims 1 to 10 when executing the computer program stored in the memory. The user terminal is used to send user requests to the server and respond to the user requests based on the request processing results fed back by the server.

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