A method and device for calculating the wall thickness of a high-temperature superheater outlet header, and electronic equipment

Abstract

The application discloses a high-temperature superheater outlet header wall thickness calculation method and device and electronic equipment, and relates to the technical field of superheater outlet header wall thickness calculation. The method comprises the following steps: calculating the theoretical wall thickness data of the header; calculating the life loss data based on the theoretical wall thickness data and a preset header mathematical model; performing wall thickness correction on the theoretical wall thickness data to obtain wall thickness correction data, stopping the correction when the life loss data is less than a preset life loss value, and obtaining first correction data; and performing strength correction on the first correction data to obtain the final header wall thickness data. The application can reduce the temperature difference between the inner wall and the outer wall of the metal, reduce thermal stress and metal heat storage, improve the variable load rate, and further improve the operation flexibility of the coal-fired generating unit by properly adjusting the wall thickness of the header while ensuring the operation safety. Meanwhile, the thermal stress in the start-stop process and the variable load process can reduce the life loss of the components and prolong the service life of the components.

Description

Technical Field

[0001] This invention relates to the field of coal-fired power generation technology, specifically to a method, apparatus, and electronic equipment for calculating the wall thickness of a high-temperature superheater outlet header. Background Technology

[0002] Because renewable energy sources are mostly intermittent and volatile, they are easily affected by environmental conditions, posing a significant challenge to the safety and stability of the power system. Therefore, it is necessary to improve the operational flexibility of coal-fired power generating units. However, for high-parameter, large-capacity units, rapid start-up and shutdown or rapid peak shaving are required during operation to respond to the grid's rapid load changes. This directly leads to an increase in the stress on metallic materials and the frequency of stress fluctuations. These stress changes directly affect the lifespan and safety of metallic components, thus significantly limiting start-up and shutdown rates and load change rates.

[0003] In the outlet header of a boiler's high-temperature superheater, the magnitude of thermal stress depends on the temperature difference between the inner and outer walls of the metal during load changes. This temperature difference is primarily influenced by the wall thickness of the metal material. Traditional wall thickness calculations are mainly based on steady-state strength calculations, ensuring only safety. However, increasing wall thickness increases heat storage in the metal, leading to a greater temperature difference and increased thermal stress, which in turn increases the lifespan of the unit's metal components. This, in turn, limits the speed of start-up, shutdown, or peak shaving of the unit, resulting in poor operational flexibility for coal-fired power generating units during peak shaving operations. Summary of the Invention

[0004] In view of this, embodiments of the present invention provide a method for calculating the wall thickness of the outlet header of a high-temperature superheater, in order to solve the problems of large life loss and poor operational flexibility of coal-fired power generating units during peak shaving operation in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] This invention provides a method for calculating the wall thickness of a high-temperature superheater outlet header, including:

[0007] Calculate the theoretical wall thickness data for the header;

[0008] The life loss data is calculated based on the theoretical wall thickness data and the preset header mathematical model;

[0009] The life loss data is compared with the preset life loss value. If the life loss data is greater than the preset life loss value, the theoretical wall thickness data is corrected to obtain the wall thickness correction data. The wall thickness correction data is then used as the theoretical wall thickness data to return to the step of calculating life loss data based on the theoretical wall thickness data and the preset manifold mathematical model. The correction continues until the life loss data is less than the preset life loss value, and the correction stops to obtain the first correction data.

[0010] The first corrected data is subjected to strength correction to obtain the final manifold wall thickness data.

[0011] Optionally, the theoretical wall thickness data for calculating the manifold includes:

[0012] Obtain the calculated pressure, outer diameter, allowable force, corrosion allowance, and wall thickness deviation of the header;

[0013] Calculate the first wall thickness data of the header based on the calculated pressure, outer diameter, and allowable applied force;

[0014] The additional wall thickness data is calculated using the corrosion allowance and wall thickness deviation.

[0015] The theoretical wall thickness data is obtained based on the first wall thickness data and the additional wall thickness data.

[0016] Optionally, the step of correcting the theoretical wall thickness data to obtain corrected wall thickness data includes:

[0017] Obtain unit attribute data and preset wall thickness correction coefficient;

[0018] The correction deviation data is calculated based on the unit attribute data and the wall thickness correction coefficient;

[0019] The wall thickness correction data is obtained by correcting the theoretical wall thickness data using the correction deviation data.

[0020] Optionally, the method further includes:

[0021] Obtain the geometric parameters and material properties of the header;

[0022] Mass equations and energy equations are established based on the geometric parameters and material property parameters;

[0023] Based on the mass equation and the energy equation, the heat conduction equation of the header is established, and the preset mathematical model of the header is obtained.

[0024] Optionally, the calculation of lifetime loss data based on the theoretical wall thickness data and the manifold mathematical model includes:

[0025] The unit operation is simulated using the aforementioned header mathematical model to obtain operational data during the simulation process;

[0026] Based on the theoretical wall thickness data and the operational data, the creep life loss and fatigue life loss are calculated respectively.

[0027] The total lifetime loss data is obtained through the creep lifetime loss and the fatigue lifetime loss.

[0028] Optionally, the calculation of creep life loss based on the theoretical wall thickness data and the operational data includes:

[0029] Calculate the creep equivalent stress based on the theoretical wall thickness data and the operational data;

[0030] The creep fracture time under different temperature conditions is obtained based on the creep equivalent stress.

[0031] Extract the time data corresponding to the temperature conditions from the operational data;

[0032] The creep life loss is calculated based on the time data and creep fracture time.

[0033] Optionally, the calculation of fatigue life loss based on the theoretical wall thickness data and the operational data includes:

[0034] Calculate mechanical stress and thermal stress based on the theoretical wall thickness data and the operational data;

[0035] Fatigue stress is calculated using the mechanical stress and the thermal stress.

[0036] Based on the fatigue stress calculation, the cyclic data during operation is obtained, including: the cyclic stress amplitude and number of cycles for the full cycle, and the cyclic stress amplitude and number of cycles for half cycles.

[0037] The fatigue life loss is obtained by linearly superimposing the cyclic data.

[0038] This invention also provides a device for calculating the wall thickness of a high-temperature superheater outlet header, comprising:

[0039] The calculation module is used to calculate the theoretical wall thickness data of the header;

[0040] The loss module is used to calculate lifetime loss data based on the theoretical wall thickness data and the preset header mathematical model;

[0041] The adjustment module is used to compare the life loss data with the preset life loss value. If the life loss data is greater than the preset life loss value, the theoretical wall thickness data is corrected to obtain the wall thickness correction data. The wall thickness correction data is then used as the theoretical wall thickness data to return to the step of calculating the life loss data based on the theoretical wall thickness data and the preset manifold mathematical model. The correction continues until the life loss data is less than the preset life loss value, and the first correction data is obtained.

[0042] The strength correction module is used to perform strength correction on the first correction data to obtain the final manifold wall thickness data.

[0043] This invention also provides an electronic device, comprising:

[0044] The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes these computer instructions to perform the high-temperature superheater outlet header wall thickness calculation method provided in this embodiment of the invention.

[0045] This invention also provides a computer-readable storage medium storing computer instructions for causing a computer to execute the high-temperature superheater outlet header wall thickness calculation method provided in this invention.

[0046] The technical solution of this invention has the following advantages:

[0047] This invention provides a method for calculating the wall thickness of a high-temperature superheater outlet header. The method involves calculating the theoretical wall thickness of the header; calculating lifespan loss data based on the theoretical wall thickness and a preset header mathematical model; comparing the lifespan loss data with a preset lifespan loss value; if the lifespan loss data is greater than the preset lifespan loss value, correcting the theoretical wall thickness data to obtain corrected wall thickness data; and returning the corrected wall thickness data as the theoretical wall thickness data to the step of calculating lifespan loss data based on the theoretical wall thickness and the preset header mathematical model, until the lifespan loss data is less than the preset lifespan loss value, at which point the correction stops, resulting in first corrected data; finally, the first corrected data undergoes strength correction to obtain the final header wall thickness data. This invention, by appropriately adjusting the header wall thickness, can reduce the temperature difference between the inner and outer metal walls while ensuring operational safety, reducing thermal stress and metal heat storage, thereby increasing the load change rate and further enhancing the operational flexibility of coal-fired power generating units. Simultaneously, reducing thermal stress during start-up, shutdown, and load change processes also reduces component lifespan loss and extends component service life. Attached Figure Description

[0048] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0049] Figure 1 This is a flowchart illustrating the method for calculating the wall thickness of the high-temperature superheater outlet header in an embodiment of the present invention.

[0050] Figure 2 This is a flowchart illustrating the calculation of the theoretical wall thickness data of the header according to an embodiment of the present invention;

[0051] Figure 3This is a flowchart illustrating the calculation of lifetime loss data according to an embodiment of the present invention;

[0052] Figure 4 This is a flowchart for calculating creep life loss according to an embodiment of the present invention;

[0053] Figure 5 This is a flowchart for calculating fatigue life loss according to an embodiment of the present invention;

[0054] Figure 6 This is a flowchart illustrating the wall thickness correction of theoretical wall thickness data according to an embodiment of the present invention;

[0055] Figure 7 A flowchart for establishing a header mathematical model according to an embodiment of the present invention;

[0056] Figure 8 This is a schematic diagram of the structure of the high-temperature superheater outlet header wall thickness calculation device in an embodiment of the present invention;

[0057] Figure 9 This is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, 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.

[0059] According to an embodiment of the present invention, a method for calculating the wall thickness of a high-temperature superheater outlet header is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0060] This embodiment provides a method for calculating the wall thickness of the outlet header of a high-temperature superheater, which can be used in the aforementioned terminal equipment, such as computers, etc. Figure 1 As shown, the method for calculating the wall thickness of the outlet header of the high-temperature superheater includes the following steps:

[0061] Step S1: Calculate the theoretical wall thickness of the header. Specifically, the calculation process comprehensively considers corrosion conditions and the deviation rate of different materials, which not only extends the service life of the header but also better meets safety requirements.

[0062] Step S2: Calculate life loss data based on theoretical wall thickness data and a pre-set header mathematical model. Specifically, calculating the life loss under modified wall thickness conditions facilitates subsequent analysis to determine whether it can guarantee the safe operation of the unit.

[0063] Step S3: Compare the life loss data with the preset life loss value. If the life loss data is greater than the preset life loss value, correct the theoretical wall thickness data to obtain corrected wall thickness data. Use this corrected wall thickness data as the theoretical wall thickness data and return to the step of calculating life loss data based on the theoretical wall thickness data and the preset manifold mathematical model. Continue this process until the life loss data is less than the preset life loss value, at which point the correction stops, and the first corrected data is obtained. Specifically, the preset life loss value is the critical value for life loss, a fixed value determined experimentally. Correcting the theoretical wall thickness data can reduce thermal stress during start-up and shutdown processes and during load changes. Reducing thermal stress can increase the load change rate, thereby improving the unit's operational flexibility.

[0064] Step S4: Perform strength correction on the first correction data to obtain the final header wall thickness data. Specifically, multiply the obtained first correction data by the strength factor γ to determine the final header wall thickness data. This process is to prevent the strength requirements of the header material from being affected by the reduction in wall thickness during the wall thickness correction process. Through strength correction, it can be ensured that the final calculated header wall thickness data meets the strength requirements and ensures safety.

[0065] Through steps S1 to S4 above, the method for calculating the wall thickness of the high-temperature superheater outlet header provided in this embodiment of the invention can reduce the temperature difference between the inner and outer metal walls, reduce thermal stress and metal heat storage, and improve the load change rate to further enhance the operational flexibility of coal-fired power generating units by appropriately adjusting the wall thickness of the header. At the same time, reducing the thermal stress during start-up and shutdown processes and load change processes will also reduce component life wear and extend the service life of components.

[0066] Specifically, in one embodiment, step S1 described above is as follows: Figure 2 As shown, the specific steps include the following:

[0067] Step S11: Obtain the calculated pressure, outer diameter, allowable force, corrosion allowance, and wall thickness deviation of the manifold.

[0068] Step S12: Calculate the first wall thickness data of the header based on the calculated pressure, outer diameter, and allowable force.

[0069] Step S13: Calculate the additional wall thickness data using corrosion allowance and wall thickness deviation.

[0070] Step S14: Obtain theoretical wall thickness data based on the first wall thickness data and the additional wall thickness data.

[0071] Specifically, in steps S11 to S14 above, the theoretically calculated wall thickness is:

[0072]

[0073] Where S is the theoretical calculated wall thickness, P is the calculated pressure; D w [σ] represents the outer diameter of the header; [σ] represents the allowable stress.

[0074] Because the boiler tube walls thin due to continuous corrosion during operation, and the actual wall thickness also has a certain deviation rate, the theoretically calculated wall thickness cannot be used as the actual theoretical wall thickness data for the header. Therefore, the header wall thickness should be increased by adding a certain additional wall thickness to the theoretical wall thickness to obtain the theoretical wall thickness data δ:

[0075] δ=S+O

[0076] Where O is the additional wall thickness; its value is determined by the following formula:

[0077] O = O 1+ O2

[0078] Where O1 is the corrosion allowance, generally taken as 0.5 mm, but the value should be determined based on the actual situation when corrosion is severe; O2 is the wall thickness deviation, which is determined according to the material deviation rate using the following formula:

[0079]

[0080] Where m is the material deviation rate.

[0081] By comprehensively considering corrosion conditions and the deviation rate of different materials, the theoretically calculated wall thickness is adjusted to obtain the final theoretical wall thickness data, which is more in line with actual usage. Compared with the theoretically calculated wall thickness, the theoretical wall thickness data with added additional wall thickness can not only extend the service life of the manifold, but also better meet safety requirements.

[0082] Specifically, in one embodiment, step S2 described above is as follows: Figure 3 As shown, the specific steps include the following:

[0083] Step S21: Simulate the unit operation using the header mathematical model to obtain operational data during the simulation. Specifically, use the header mathematical model to simulate the unit start-up and shutdown process and the load change process to obtain the changes in parameters such as temperature and pressure during the process.

[0084] Step S22: Calculate creep life loss and fatigue life loss based on theoretical wall thickness data and operational data, respectively. Specifically, add the creep life loss and fatigue life loss to obtain the total life loss: φ total =φ fatigue +φcreep .

[0085] Step S23: Obtain the total life loss data through creep life loss and fatigue life loss. Specifically, by calculating the life loss under modified wall thickness conditions, it is easier to analyze whether it can guarantee the safe operation of the unit.

[0086] Specifically, in one embodiment, step S22 above calculates creep life loss based on theoretical wall thickness data and operational data, such as... Figure 4 As shown, the specific steps include the following:

[0087] Step S2211: Calculate the creep equivalent stress based on theoretical wall thickness data and operational data. Specifically,

[0088]

[0089] Where P is the steam pressure; D is the inner diameter; and δ is the theoretical wall thickness.

[0090] Step S2212: Obtain the creep rupture time under different temperature conditions based on the creep equivalent stress. Specifically, the creep rupture time at a specific temperature and creep equivalent stress can be obtained according to the Lorsan-Miller formula:

[0091]

[0092] C, C0, C1, C2, and C3 represent different temperatures.

[0093] Step S2213: Extract time data corresponding to temperature conditions from the running data.

[0094] Step S2214: Calculate creep life loss based on time data and creep rupture time. Specifically, during start-up, shutdown, and load variation, the temperature continuously changes. The creep life loss for a single start-up, shutdown, and load variation process can be calculated using the running time at each temperature and the creep rupture time at that temperature.

[0095]

[0096] Where K is a correction factor that is a fixed value, usually taken as 1.2; t i This represents the running time at various temperatures.

[0097] Specifically, in one embodiment, step S22 above calculates fatigue life loss based on theoretical wall thickness data and operational data, such as... Figure 5 As shown, the specific steps include the following:

[0098] Step S2221: Calculate mechanical and thermal stresses based on theoretical wall thickness data and operational data. Specifically, mechanical stress:

[0099]

[0100] Thermal stress:

[0101]

[0102] Step S2222: The fatigue stress is calculated using mechanical and thermal stresses. Specifically, σ... c =K p σ p +K t σ t

[0103] Where δ is the theoretical wall thickness; f(β) is the geometric parameter; α is the coefficient of linear expansion, 1 / ℃; E is the elastic modulus; v is the Poisson coefficient; Δt is the temperature difference between the inner and outer walls; K p and K t These are the mechanical stress and thermal stress concentration factors, respectively.

[0104] Step S2223: Obtain the cycle data during operation based on fatigue stress calculations. The cycle data includes: the cyclic stress amplitude and number of cycles for the full cycle, and the cyclic stress amplitude and number of cycles for the half cycle. Specifically, the rainflow method is used to obtain the full cycle cyclic stress amplitude and half cycle cyclic stress amplitude during start-up, shutdown, and variable load processes for all synthetic fatigue stresses during the process, and the number of full cycle cycles and half cycle cycles are recorded. Then, the maximum allowable number of cycles corresponding to the full cycle and half cycle cyclic stress amplitudes is calculated using polynomial function curves in ASME.

[0105] Step S2224: Linearly superimpose the cyclic data to obtain fatigue life loss. Specifically, the fatigue life loss is obtained using Miner's linear superposition principle:

[0106]

[0107] Where, N iq and N jb Q and B represent the maximum number of cycles corresponding to the full-cycle and half-cycle cyclic stress amplitudes, respectively; Q and B represent the number of cycles for the full-cycle and half-cycle, respectively.

[0108] Specifically, in one embodiment, step S3 above corrects the theoretical wall thickness data to obtain corrected wall thickness data, such as... Figure 6 As shown, the specific steps include the following:

[0109] Step S31: Obtain unit attribute data and preset wall thickness correction coefficient.

[0110] Step S32: Calculate the correction deviation data based on the unit attribute data and the wall thickness correction coefficient.

[0111] Step S33: Correct the theoretical wall thickness data by correcting the deviation data to obtain the wall thickness correction data.

[0112] Specifically, in steps S31 to S33 above, the theoretical wall thickness data is corrected using unit attribute data and a preset wall thickness correction coefficient. This reduces thermal stress during start-up and shutdown processes and load changes. Reducing thermal stress increases the load change rate, thereby improving the unit's operational flexibility. The unit attribute data includes: unit load change rate correction coefficient a, unit load change rate V. l Unit start-up and shutdown correction factor b; temperature change rate V during unit start-up and shutdown. s .

[0113] Manifold wall thickness correction data δ X Calculated using the following formula:

[0114] δ X =δ-Δδ

[0115] Where δ is the theoretical wall thickness data; Δδ is the correction deviation, determined according to the following formula:

[0116] Δδ=aV l +bV s +c

[0117] Where 'a' is the unit's load change rate correction coefficient; V l b is the unit's load change rate; v is the unit's start-up and shutdown correction factor; V s is the rate of temperature change during unit start-up and shutdown; c is the header wall thickness correction factor.

[0118] Specifically, in one embodiment, the above-described method, such as Figure 7 As shown, the specific steps also include the following:

[0119] Step S51: Obtain the geometric parameters and material properties of the header.

[0120] Step S52: Establish the mass equation and energy equation based on geometric parameters and material property parameters.

[0121] Step S53: Establish the header heat conduction equation based on the mass equation and energy equation to obtain the preset header mathematical model.

[0122] Specifically, in steps S51 to S53 above, the geometric parameters include: flow rate entering the header, flow rate leaving the header, time, volume, header inlet height, and header outlet height; the material property parameters include: material density, enthalpy of the working fluid in the header, enthalpy of the working fluid entering the header, enthalpy of the working fluid leaving the header, gravitational acceleration, thermal conductivity, heat generated per unit volume, specific heat capacity, inner wall temperature, and heat exchange with the outside.

[0123] The energy conservation and mass conservation equations that are the main basis for modeling are as follows:

[0124] Mass equation:

[0125]

[0126] In the formula: F in For the flow rate entering the manifold; F out τ is the flow rate leaving the header; ρ is the material density; and V is the volume.

[0127] Energy equation:

[0128]

[0129] In the formula: h is the enthalpy of the working fluid in the header; h in It is the enthalpy of the working fluid entering the header; h out Z is the enthalpy of the working fluid leaving the header; in It is the height of the header inlet; Z out It is the height of the header outlet; g is the acceleration due to gravity, q p It is the amount of heat exchanged with the outside world.

[0130] Its temperature field heat conduction differential equation is:

[0131]

[0132] Where λ is the thermal conductivity; ρ is the heat generated per unit volume; c is the specific heat capacity; T is the temperature of the inner wall of the header.

[0133] In the calculation, assuming the header is an isotropic, thick-walled, long cylindrical body, the differential equation for heat conduction of the header can be rewritten as:

[0134]

[0135] Where x, y, and z represent the three directions of the spatial coordinates.

[0136] Under normal circumstances, the heat transfer on the inner surface of the header falls under the third type of boundary condition. Since the outer wall has an insulation layer, heat loss can be neglected, and it can be considered as an adiabatic condition. The mathematical model established by the above process can be used to simulate and calculate the temperature and pressure changes during start-up, shutdown, and variable load processes, obtaining the changes in parameters such as temperature and pressure during the process.

[0137] Specifically, in one embodiment, the method further includes: analyzing the unit's operational flexibility under header wall thickness data conditions to obtain the upper limit of the high-temperature superheater temperature change rate, guiding the unit's variable load operation. Specifically, the header wall thickness data is substituted into the header mathematical model, and then different temperature change rates are applied as boundary conditions to observe the change in thermal stress. Under the same temperature change rate, the thermal stress initially increases significantly, but as the temperature difference between the inner and outer walls decreases, the rate of increase in thermal stress gradually slows down and eventually approaches a steady-state value. This steady-state value is considered the maximum thermal stress that the header can achieve under the corresponding temperature change rate. As the temperature change rate continuously increases, the corresponding maximum thermal stress also increases. When the maximum thermal stress increases to 80% of the material's allowable stress, the corresponding temperature change rate is considered the limit value for the high-temperature superheater temperature change rate. This temperature change rate can serve as a reference for unit start-up, shutdown, or variable load operation. The increased temperature change rate provides significant potential for peak-shaving operation of the unit.

[0138] This embodiment also provides a high-temperature superheater outlet header wall thickness calculation device, which is used to implement the above embodiments and preferred embodiments, and will not be repeated as already described. As used below, the term "module" can be a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0139] This embodiment provides a device for calculating the wall thickness of a high-temperature superheater outlet header, such as... Figure 8 As shown, it includes:

[0140] The calculation module 101 is used to calculate the theoretical wall thickness data of the header. For details, please refer to the relevant description of step S1 in the above method embodiment, which will not be repeated here.

[0141] The loss module 102 is used to calculate the life loss data based on the theoretical wall thickness data and the preset header mathematical model. For details, please refer to the relevant description of step S2 in the above method embodiment, which will not be repeated here.

[0142] The adjustment module 103 is used to compare the life loss data with the preset life loss value. If the life loss data is greater than the preset life loss value, the theoretical wall thickness data is corrected to obtain the wall thickness correction data. The wall thickness correction data is then used as the theoretical wall thickness data to return to the step of calculating the life loss data based on the theoretical wall thickness data and the preset manifold mathematical model. The correction continues until the life loss data is less than the preset life loss value, and the first correction data is obtained. For details, please refer to the relevant description of step S3 in the above method embodiment, which will not be repeated here.

[0143] The strength correction module 104 is used to perform strength correction on the first correction data to obtain the final header wall thickness data. For details, please refer to the relevant description of step S4 in the above method embodiment, which will not be repeated here.

[0144] In this embodiment, the high-temperature superheater outlet manifold wall thickness calculation device is presented in the form of a functional unit. Here, a unit refers to an ASIC circuit, a processor and memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0145] Further functional descriptions of the above modules are the same as those in the corresponding embodiments described above, and will not be repeated here.

[0146] According to embodiments of the present invention, an electronic device is also provided, such as... Figure 9 As shown, the electronic device may include a processor 901 and a memory 902, wherein the processor 901 and the memory 902 may be connected via a bus or other means. Figure 9 Taking the example of a connection between China and Israel via a bus.

[0147] Processor 901 can be a Central Processing Unit (CPU). Processor 901 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations of the above types of chips.

[0148] The memory 902, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the method embodiments of the present invention. The processor 901 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions, and modules stored in the memory 902, thereby implementing the methods in the above method embodiments.

[0149] The memory 902 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created by the processor 901, etc. Furthermore, the memory 902 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 902 may optionally include memory remotely located relative to the processor 901, and these remote memories may be connected to the processor 901 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0150] One or more modules are stored in memory 902, and when executed by processor 901, they perform the methods described in the above method embodiments.

[0151] The specific details of the aforementioned electronic device can be understood by referring to the relevant descriptions and effects in the above method embodiments, and will not be repeated here.

[0152] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium can also include combinations of the above types of memory.

[0153] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A method for calculating the wall thickness of the outlet header of a high-temperature superheater, characterized in that, include: Calculate the theoretical wall thickness data for the header; The life loss data is calculated based on the theoretical wall thickness data and the preset header mathematical model; The lifespan loss data is compared with a preset lifespan loss value. If the lifespan loss data is greater than the preset lifespan loss value, the theoretical wall thickness data is corrected to obtain corrected wall thickness data. This corrected wall thickness data is then used as the theoretical wall thickness data to return to the step of calculating lifespan loss data based on the theoretical wall thickness data and a preset manifold mathematical model. The correction process continues until the lifespan loss data is less than the preset lifespan loss value, at which point the correction stops, resulting in first corrected data. The step of correcting the theoretical wall thickness data to obtain corrected wall thickness data includes: Obtain unit attribute data and preset wall thickness correction coefficient; The correction deviation data is calculated based on the unit attribute data and the wall thickness correction coefficient; wherein, the calculation formula for the correction deviation data is: ； In the formula, a This is the correction factor for the unit's variable load rate; For the unit's load change rate; b This is the unit start-up and shutdown correction factor; The rate of temperature change during unit start-up and shutdown; c This is the correction factor for the header wall thickness; The theoretical wall thickness data is corrected using the corrected deviation data to obtain corrected wall thickness data; wherein, the calculation formula for the corrected wall thickness data of the manifold is: ； In the formula, This is theoretical wall thickness data; To correct for deviation data; The first corrected data is subjected to strength correction to obtain the final manifold wall thickness data.

2. The method for calculating the wall thickness of the outlet header of a high-temperature superheater according to claim 1, characterized in that, The theoretical wall thickness data for the calculated header includes: Obtain the calculated pressure, outer diameter, allowable force, corrosion allowance, and wall thickness deviation of the header; Calculate the first wall thickness data of the header based on the calculated pressure, outer diameter, and allowable applied force; The additional wall thickness data is calculated using the corrosion allowance and wall thickness deviation. The theoretical wall thickness data is obtained based on the first wall thickness data and the additional wall thickness data.

3. The method for calculating the wall thickness of the outlet header of a high-temperature superheater according to claim 1, characterized in that, The method further includes: Obtain the geometric parameters and material properties of the header; Mass equations and energy equations are established based on the geometric parameters and material property parameters; Based on the mass equation and the energy equation, the heat conduction equation of the header is established, and the preset mathematical model of the header is obtained.

4. The method for calculating the wall thickness of the outlet header of a high-temperature superheater according to claim 1, characterized in that, The calculation of life loss data based on the theoretical wall thickness data and the header mathematical model includes: The unit operation is simulated using the aforementioned header mathematical model to obtain operational data during the simulation process; Based on the theoretical wall thickness data and the operational data, the creep life loss and fatigue life loss are calculated respectively. The total life loss data is obtained by combining the creep life loss and the fatigue life loss.

5. The method for calculating the wall thickness of the outlet header of a high-temperature superheater according to claim 4, characterized in that, The calculation of creep life loss based on the theoretical wall thickness data and the operational data includes: Calculate the creep equivalent stress based on the theoretical wall thickness data and the operational data; The creep rupture time under different temperature conditions is obtained based on the creep equivalent stress. Extract the time data corresponding to the temperature conditions from the operational data; The creep life loss is calculated based on the time data and creep fracture time.

6. The method for calculating the wall thickness of the outlet header of a high-temperature superheater according to claim 4, characterized in that, The calculation of fatigue life loss based on the theoretical wall thickness data and the operational data includes: Calculate mechanical and thermal stresses based on the theoretical wall thickness data and the operational data; Fatigue stress is calculated using the mechanical stress and the thermal stress. Based on the fatigue stress calculation, the cyclic data during operation is obtained, including: the cyclic stress amplitude and number of cycles for the full cycle, and the cyclic stress amplitude and number of cycles for half cycles. The fatigue life loss is obtained by linearly superimposing the cyclic data.

7. A device for calculating the wall thickness of a high-temperature superheater outlet header, characterized in that, include: The calculation module is used to calculate the theoretical wall thickness data of the header; The loss module is used to calculate lifetime loss data based on the theoretical wall thickness data and the preset header mathematical model; An adjustment module is used to compare the life loss data with a preset life loss value. If the life loss data is greater than the preset life loss value, the theoretical wall thickness data is corrected to obtain corrected wall thickness data. This corrected wall thickness data is then used as the theoretical wall thickness data to return to the step of calculating life loss data based on the theoretical wall thickness data and a preset manifold mathematical model. The correction continues until the life loss data is less than the preset life loss value, at which point the correction stops, resulting in first corrected data. The step of correcting the theoretical wall thickness data to obtain corrected wall thickness data includes: acquiring unit attribute data and a preset wall thickness correction coefficient; and calculating correction deviation data based on the unit attribute data and the wall thickness correction coefficient. The formula for calculating the correction deviation data is: In the formula, a This is the correction factor for the unit's variable load rate; For the unit's load change rate; b This is the unit start-up and shutdown correction factor; The rate of temperature change during unit start-up and shutdown; c The header wall thickness correction coefficient is used; the theoretical wall thickness data is corrected using the correction deviation data to obtain the corrected wall thickness data; wherein, the calculation formula for the header wall thickness correction data is: In the formula, This is theoretical wall thickness data; To correct for deviation data; The strength correction module is used to perform strength correction on the first correction data to obtain the final manifold wall thickness data.

8. An electronic device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the method for calculating the wall thickness of the high-temperature superheater outlet header as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the method for calculating the wall thickness of the high-temperature superheater outlet header as described in any one of claims 1-6.

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