Boiler furnace life prediction method, device, equipment, medium and program

Abstract

The invention relates to the technical field of thermal power generation, in particular to a boiler furnace life prediction method, device, equipment, medium and program, and the method comprises the steps: obtaining material data of a boiler furnace heating surface and temperature data changing along with a time sequence; the temperature gradient of the boiler furnace heating surface is calculated based on the material data and the temperature data changing along with the time sequence, a damage function of the boiler furnace heating surface is constructed based on the material data, and the damage function represents the damage degree of the boiler furnace heating surface; and inputting the temperature gradient into the damage function to predict the residual life of the boiler furnace. Therefore, the problem that the service life of the boiler furnace is not accurately predicted due to the fact that the damage condition of the heating surface of the boiler furnace cannot be comprehensively evaluated in related technologies is solved.

Description

Technical Field

[0001] The present invention relates to the field of thermal power generation technology, and in particular to a boiler furnace life prediction method, device, equipment, medium and program. Background Art

[0002] At present, electricity supply mostly relies on coal-fired power generation. Coal-fired power generation technology is advancing towards high efficiency and cleanness, and improving operating parameters, which makes the high-temperature pressure-bearing metal parts of the unit face higher safety challenges. At the same time, the large-scale application of renewable energy power generation has led to frequent deep peak regulation of coal-fired power generation units, and load operation has an adverse effect on the safety and life of metal parts.

[0003] During the high-parameter and deep peak-shaving operation of the unit, the metal technical supervision of the power plant boiler faces many challenges, such as unstable combustion caused by complex operating conditions in the furnace, over-temperature operation of the heating surface tubes, low-cycle fatigue damage, and accelerated generation and shedding of oxide scale and other metal damage phenomena. These hidden dangers seriously threaten the safety of the boiler. Among them, temperature and operating time are the key factors causing damage to the heating surface of the power plant boiler furnace. The heating surface tubes are heated by the high-temperature flue gas in the furnace, and their internal temperature is in the range of 450-650 degrees.

[0004] In the related technology, only the temperature data of a certain position of the boiler furnace heating surface can be monitored. The data is relatively single and cannot evaluate the degree of damage to the heating surface, which affects the subsequent prediction of the boiler furnace life. In addition, the current existing models cannot fully understand the dynamic impact of changes in operating conditions on the life, resulting in inaccurate prediction of the boiler furnace life. Summary of the invention

[0005] The present invention provides a boiler furnace life prediction method, device, equipment, medium and program to solve the problem that the damage of the heating surface of the boiler furnace cannot be fully evaluated, resulting in inaccurate prediction of the boiler furnace life.

[0006] A first aspect of the present invention provides a method for predicting the life of a boiler furnace, comprising the following steps: obtaining material data of a boiler furnace heating surface and temperature data that changes with a time series; calculating the temperature gradient of the boiler furnace heating surface based on the material data and the temperature data that changes with a time series, and constructing a damage function of the boiler furnace heating surface based on the material data, wherein the damage function characterizes the degree of damage to the boiler furnace heating surface; and inputting the temperature gradient into the damage function to predict the remaining life of the boiler furnace.

[0007] Through the above technical scheme, the embodiment of the present invention can calculate the temperature gradient of the boiler furnace heating surface in the thickness direction according to the material data of the boiler furnace heating surface and the temperature data changing with time series, and bring the temperature gradient into the damage function of the boiler furnace heating surface constructed by the material data to predict the remaining life of the boiler furnace. It not only realizes the accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, but also more accurately grasps the thermal stress distribution of the boiler furnace heating surface, thereby providing a reliable basis for discovering potential damage risks in advance, but also improves the accuracy of the remaining life prediction of the boiler furnace, so as to effectively guide the power plant to conduct scientific management and maintenance planning of the boiler equipment throughout the life cycle.

[0008] Optionally, the temperature gradient of the boiler furnace heating surface is calculated based on the material data and the temperature data that changes with time series, including: calculating the heat flux density of each layer of material in the boiler furnace according to the temperature data that changes with time series and the material data; constructing a temperature relationship function at the interface between two adjacent layers of material according to the heat flux density of each layer of material in the boiler furnace; and generating the temperature gradient of the boiler furnace heating surface in the thickness direction according to the temperature relationship function.

[0009] Through the above technical scheme, the embodiment of the present invention can calculate the heat flux density of each layer of material in the boiler furnace according to the temperature data that changes with the time series and the material data, thereby constructing a temperature relationship function at the interface between two adjacent layers of material based on the heat flux density of each layer of material in the boiler furnace, so as to calculate the temperature gradient of the heating surface of the boiler furnace in the thickness direction, thereby realizing accurate real-time monitoring and analysis of the temperature gradient of the heating surface of the boiler, and more accurately grasping the thermal stress distribution status of the heating surface of the boiler furnace, thereby providing a reliable basis for early detection of potential damage risks.

[0010] Optionally, the temperature gradient is calculated as follows:

[0011] in, Represented as the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, Indicates the target position of the i+1th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, represents the thermal conductivity of the i-th layer material, represents the thickness of the i-th layer of material, and n represents the total number of material layers on the heating surface of the boiler furnace.

[0012] Optionally, the damage function is calculated by:

[0013] in, Indicates the target position of the boiler heating surface at the target time point t The damage function is: a and b are constants determined according to the boiler furnace material properties. is the total time variable for the cumulative damage calculation, Indicates the target position of the boiler furnace heating surface Temperature gradient in the thickness direction at the target time t.

[0014] Optionally, the inputting the temperature gradient into the damage function to predict the remaining life of the boiler furnace includes: identifying the temperature gradient and the corresponding weight of each time step; calculating the average temperature gradient of the target time step according to the temperature gradient and the corresponding weight of each time step; inputting the average temperature gradient into the damage function to calculate the current cumulative damage value of the boiler furnace; obtaining the limit damage value of the boiler furnace, and calculating the remaining life of the boiler furnace according to the limit damage value and the current cumulative damage value.

[0015] Through the above technical scheme, the embodiment of the present invention can calculate the average temperature gradient of the target time step according to the temperature gradient of each time step and the corresponding weight, so as to bring the average temperature gradient into the damage function to calculate the current damage accumulation value of the boiler furnace, and calculate the remaining life of the boiler furnace according to the boiler furnace limit damage value obtained by the thermal fatigue test and the current damage accumulation value, thereby improving the accuracy of the remaining life prediction of the boiler furnace, so as to effectively guide the power plant to carry out scientific management and maintenance planning of the boiler equipment throughout the life cycle.

[0016] Optionally, the remaining life is calculated as follows:

[0017] in, Indicates the remaining life of the boiler furnace, Indicates the limit damage value of boiler furnace, Indicated in The cumulative value of boiler furnace damage at the time, a and b represent constants determined according to the boiler furnace material characteristics, and e represents a natural constant. Indicates the average temperature gradient of the boiler furnace heating surface for the target duration.

[0018] The second aspect of the present invention provides a boiler furnace life prediction device, including: an acquisition module, used to acquire material data of the boiler furnace heating surface and temperature data that changes with time series; a calculation module, used to calculate the temperature gradient of the boiler furnace heating surface based on the material data and the temperature data that changes with time series, and construct a damage function of the boiler furnace heating surface based on the material data, wherein the damage function characterizes the degree of damage to the boiler furnace heating surface; a prediction module, used to predict the remaining life of the boiler furnace using the temperature gradient.

[0019] Optionally, the calculation module is further used to: calculate the heat flux density of each layer of material in the boiler furnace based on the temperature data that changes with time series and the material data; construct a temperature relationship function at the interface between two adjacent layers of material based on the heat flux density of each layer of material in the boiler furnace; and generate a temperature gradient of the heating surface of the boiler furnace in the thickness direction based on the temperature relationship function.

[0020] Optionally, the temperature gradient is calculated as follows:

[0021] in, Represented as the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, Indicates the target position of the i+1th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, represents the thermal conductivity of the i-th layer material, represents the thickness of the i-th layer of material, and n represents the total number of material layers on the heating surface of the boiler furnace.

[0022] Optionally, the damage function is calculated by:

[0023] in, Indicates the target position of the boiler heating surface at the target time point t The damage function is: a and b are constants determined according to the boiler furnace material properties. is the total time variable for the cumulative damage calculation, Indicates the target position of the boiler furnace heating surface Temperature gradient in the thickness direction at the target time t.

[0024] Optionally, the prediction module is further used to: identify the temperature gradient and corresponding weight of each time step; calculate the average temperature gradient of the target time step based on the temperature gradient and corresponding weight of each time step; input the average temperature gradient into the damage function to calculate the current cumulative damage value of the boiler furnace; obtain the limit damage value of the boiler furnace, and calculate the remaining life of the boiler furnace based on the limit damage value and the current cumulative damage value.

[0025] Optionally, the remaining life is calculated as follows:

[0026] in, Indicates the remaining life of the boiler furnace, Indicates the limit damage value of boiler furnace, Indicated in The cumulative value of boiler furnace damage at the time, a and b represent constants determined according to the boiler furnace material characteristics, and e represents a natural constant. Indicates the average temperature gradient of the boiler furnace heating surface for the target duration.

[0027] A third aspect of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to execute the boiler furnace life prediction method as described in the above embodiment.

[0028] A fourth aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to execute the boiler furnace life prediction method as described in the above embodiment.

[0029] A fifth aspect of the present invention provides a computer program product, including a computer program or instructions, which, when executed, implements the boiler furnace life prediction method as described in the above embodiment.

[0030] Therefore, the present invention has at least the following beneficial effects: The embodiment of the present invention can calculate the temperature gradient of the boiler furnace heating surface in the thickness direction according to the material data of the boiler furnace heating surface and the temperature data changing with time series, and bring the temperature gradient into the damage function of the boiler furnace heating surface constructed by the material data to predict the remaining life of the boiler furnace. It not only realizes the accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, but also more accurately grasps the thermal stress distribution of the boiler furnace heating surface, thereby providing a reliable basis for discovering potential damage risks in advance, but also improves the accuracy of the remaining life prediction of the boiler furnace, so as to effectively guide the power plant to conduct scientific management and maintenance planning of the boiler equipment throughout the life cycle.

[0031] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 A flowchart of a boiler furnace life prediction method provided according to an embodiment of the present invention; Figure 2 A flow chart of boiler furnace life prediction calculation according to an embodiment of the present invention; Figure 3 A block diagram of a boiler furnace life prediction device provided according to an embodiment of the present invention; Figure 4 A schematic diagram of the operation of a boiler furnace life prediction device according to an embodiment of the present invention; Figure 5 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present invention.

[0033] Explanation of reference numerals: boiler furnace life prediction device 10 , acquisition module 100 , calculation module 200 and prediction module 300 . DETAILED DESCRIPTION

[0034] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0035] In the related technologies, firstly, there is a lack of accurate real-time monitoring and analysis capabilities of temperature gradients. During the operation of the boiler, it is difficult to accurately grasp the changes in temperature gradients at different locations on the heating surface, and it is impossible to provide a comprehensive and detailed data basis for the subsequent accurate assessment of the degree of metal damage, resulting in inaccurate estimates of damage to the heating surface, and it is difficult to formulate targeted maintenance strategies in advance. Secondly, the life prediction model is not perfect enough. Most existing technologies fail to fully combine the characteristics of boiler furnace materials for calculations, and do not fully consider the cumulative effect of temperature gradients over time and the dynamic impact of changes in operating conditions on life when predicting life, resulting in a large deviation between the prediction results and the actual situation, which cannot effectively guide power plants to conduct scientific management and maintenance planning of boiler equipment throughout the life cycle, and it is difficult to maximize the operating efficiency of equipment while ensuring safety.

[0036] Therefore, the present invention calculates the temperature gradient of the boiler furnace heating surface in the thickness direction according to the material data of the boiler furnace heating surface and the temperature data that changes with time series, and brings the temperature gradient into the damage function of the boiler furnace heating surface constructed by the material data, so as to predict the remaining life of the boiler furnace. It not only realizes the accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, but also more accurately grasps the thermal stress distribution of the boiler furnace heating surface, thereby providing a reliable basis for discovering potential damage risks in advance, but also improves the accuracy of the remaining life prediction of the boiler furnace, so as to effectively guide the power plant to conduct scientific management and maintenance planning of the boiler equipment throughout the life cycle.

[0037] The following describes a boiler furnace life prediction method, device, electronic device, storage medium and program according to an embodiment of the present invention with reference to the accompanying drawings.

[0038] Specifically, Figure 1 A schematic flow chart of a boiler furnace life prediction method provided in an embodiment of the present invention.

[0039] like Figure 1 As shown, the boiler furnace life prediction method includes the following steps: In step S101, the material data of the boiler furnace heating surface and the temperature data changing with time series are obtained.

[0040] It is understandable that the present invention can use a high-temperature resistant temperature sensor to obtain the temperature data of the boiler furnace heating surface that changes with time series, and obtain the material data of the boiler furnace heating surface, so as to facilitate the subsequent calculation of the temperature gradient of the boiler furnace heating surface.

[0041] It should be noted that temperature sensors include but are not limited to optical fiber sensors or platinum resistance sensors. Temperature sensors are arranged on the outer and inner walls of the boiler furnace heating surface. For internal locations where it is inconvenient to install sensors, the inner wall temperature can be measured by infrared thermal imagers, thermocouples, heat flow meters and other equipment to collect real-time boiler heating surface temperature data that changes with time series; material data includes material thickness and material thermal conductivity determined by material testing.

[0042] In step S102, based on material data and temperature data that changes over time, the temperature gradient of the boiler furnace heating surface is calculated, and based on the material data, a damage function of the boiler furnace heating surface is constructed, wherein the damage function characterizes the degree of damage to the boiler furnace heating surface.

[0043] It can be understood that the embodiments of the present invention can calculate the temperature gradient of the boiler furnace heating surface based on material data and temperature data that changes with time series, thereby realizing accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, and more accurately grasping the thermal stress distribution of the boiler furnace heating surface, thereby providing a reliable basis for early detection of potential damage risks, and constructing a damage function of the boiler furnace heating surface based on material data, so as to facilitate the subsequent calculation of the remaining life of the boiler furnace according to the loss function.

[0044] In an embodiment of the present invention, the temperature gradient of the heating surface of the boiler furnace is calculated based on material data and temperature data that changes with time series, including: calculating the heat flux density of each layer of material in the boiler furnace according to the temperature data and material data that change with time series; constructing a temperature relationship function at the interface between two adjacent layers of material according to the heat flux density of each layer of material in the boiler furnace; and generating the temperature gradient of the heating surface of the boiler furnace in the thickness direction according to the temperature relationship function.

[0045] The calculation formula of temperature gradient is: ; in, Represented as the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, Indicates the target position of the i+1th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, represents the thermal conductivity of the i-th layer material, represents the thickness of the i-th layer of material, and n represents the total number of material layers on the heating surface of the boiler furnace.

[0046] It can be understood that the embodiments of the present invention can calculate the heat flux density of each layer of material in the boiler furnace based on the temperature data and material data that change with time series; construct the temperature relationship function at the interface between two adjacent layers of material based on the heat flux density of each layer of material in the boiler furnace; generate the temperature gradient of the heating surface of the boiler furnace in the thickness direction based on the temperature relationship function, thereby realizing accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, and more accurately grasping the thermal stress distribution status of the heating surface of the boiler furnace, thereby providing a reliable basis for early detection of potential damage risks.

[0047] Specifically, if Figure 2 As shown in the figure, according to the temperature monitoring results of the boiler heating surface, by using Fourier's law, based on the number of furnace wall material layers, thickness of each layer and thermal conductivity information, the temperature gradient of a point on the boiler heating surface is calculated. The specific steps are as follows: (1) Assume that the coordinates of a point on the heating surface of the boiler furnace are , the temperature at this point at time t is , since the furnace wall has a certain thickness, let the thickness direction be the z axis, which is perpendicular to the plane of the furnace wall, and the furnace wall is composed of n layers of different materials, and the thickness of the i-th layer of material is , the thermal conductivity is .

[0048] (2) Calculate the heat flux density at the interface between two adjacent layers of material : ; in, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, is the material thickness.

[0049] (3) Assume that the heat flux density through each layer is equal within a specified sufficiently short time interval, that is: ; Then the corresponding interface between the i-th layer and the i+1-th layer of materials is:

[0050] in, is the thermal conductivity of the i-th layer material, is the thermal conductivity of the i+1th layer of material, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, Indicates the target position of the i+1th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, is the thickness of the i-th layer of material, is the thickness of the i+1th layer of material.

[0051] The temperature gradient of the i+1th layer of material at the target position (x, y) of the boiler furnace heating surface at the target time point t can be obtained: ; in, is the thermal conductivity of the i-th layer material, is the thermal conductivity of the i+1th layer of material, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, Indicates the target position of the i+1th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, The target position of the i+2th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, is the thickness of the i-th layer of material, is the thickness of the i+1th layer of material.

[0052] (4) Based on the formula in step (3), the temperature relationship of each layer is recursively obtained, and then the temperature gradient of the point in the thickness direction is calculated: ; in, Represented as the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, Indicates the target position of the i+1th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, represents the thermal conductivity of the i-th layer material, represents the thickness of the i-th layer of material, and n represents the total number of material layers on the heating surface of the boiler furnace.

[0053] In step S103, the temperature gradient is input into the damage function to predict the remaining life of the boiler furnace.

[0054] It can be understood that the embodiment of the present invention can input the temperature gradient into the damage function to predict the remaining life of the boiler furnace, so as to improve the accuracy of the remaining life prediction of the boiler furnace, so as to effectively guide the power plant to carry out scientific management and maintenance planning of the boiler equipment throughout the life cycle.

[0055] In an embodiment of the present invention, the temperature gradient is input into a damage function to predict the remaining life of a boiler furnace, including: identifying the temperature gradient and the corresponding weight of each time step; calculating the average temperature gradient of the target time step according to the temperature gradient and the corresponding weight of each time step; inputting the average temperature gradient into the damage function to calculate the current cumulative damage value of the boiler furnace; obtaining the limit damage value of the boiler furnace, and calculating the remaining life of the boiler furnace according to the limit damage value and the current cumulative damage value.

[0056] The damage function is calculated as follows: ; in, Indicates the target position of the boiler heating surface at the target time point t The damage function is: a and b are constants determined according to the boiler furnace material properties. is the total time variable for the cumulative damage calculation, Indicates the target position of the boiler furnace heating surface Temperature gradient in the thickness direction at the target time t.

[0057] The remaining life calculation formula is:

[0058] in, Indicates the remaining life of the boiler furnace, Indicates the limit damage value of boiler furnace, Indicated in The cumulative value of boiler furnace damage at the time, a and b represent constants determined according to the boiler furnace material characteristics, and e represents a natural constant. Indicates the average temperature gradient of the boiler furnace heating surface for the target duration.

[0059] It can be understood that the embodiment of the present invention can calculate the average temperature gradient of the target time step based on the temperature gradient of each time step and the corresponding weight, so as to bring the average temperature gradient into the damage function to calculate the current damage accumulation value of the boiler furnace, and calculate the remaining life of the boiler furnace based on the boiler furnace limit damage value obtained by the thermal fatigue test and the current damage accumulation value, thereby improving the accuracy of the remaining life prediction of the boiler furnace, so as to effectively guide the power plant to conduct scientific management and maintenance planning of the boiler equipment throughout the life cycle.

[0060] It should be noted that the material data collection of the present invention also includes a and b in the damage function and the limit damage value obtained by performing thermal fatigue tests on boiler furnace materials. , where a and b represent constants determined according to the characteristics of the boiler furnace material, and F represents the damage function. During the thermal fatigue experiment, the damage of the material under different temperature gradients is recorded, and then these parameter values ​​are fitted. The fitting formula is as follows:

[0061] in, It is the temperature gradient in the thickness direction of a certain point on the material in the thermal fatigue experiment, which is obtained through experimental measurement; a and b are constants determined according to the characteristics of the boiler furnace material, which are obtained based on the thermal fatigue experiment.

[0062] Specifically, a fitting process is performed on multiple sets of data recorded on the damage conditions of materials under different temperature gradients, and the values ​​of constants a and b are determined using the least squares fitting method.

[0063] The thermal fatigue test is a test method to evaluate the material's ability to resist damage under conditions of periodic temperature changes. By simulating the periodic temperature changes that the boiler furnace material is subjected to in actual operation, the effect of temperature gradient on material damage is quantified and the key parameters of the damage function are determined.

[0064] Specifically, if Figure 2 As shown, the specific steps for calculating the remaining life of the boiler furnace are as follows: (1) Introduce the damage function of the boiler furnace heating surface constructed based on the material data. Since the damage is continuous, it is assumed that from the start of operation to the target time point Damage function for a time period of:

[0065] in, is the total time variable for cumulative damage calculation, representing the time from the start of operation to the target time point This time period is used to calculate the degree of damage accumulation. The value range of t is , is the damage rate function related to the temperature gradient.

[0066] because , where a and b are constants determined according to the characteristics of boiler furnace materials, and e is a natural constant obtained by fitting a large number of boiler furnace material thermal fatigue test data. Therefore, it can be obtained by sorting: ； Indicates the target position of the boiler heating surface at the target time point t The damage function is: a and b are constants determined according to the boiler furnace material properties. is the total time variable for the cumulative damage calculation, Indicates the target position of the boiler furnace heating surface Temperature gradient in the thickness direction at the target time t.

[0067] (2) Prediction of the remaining life of the boiler furnace: 1) Target position of boiler heating surface At current time The accumulated damage function is set to ,in, ; The furnace limit damage value obtained from the above thermal fatigue test is expressed as Therefore, from The remaining damage accumulation value from the beginning to the life limit is set as , the calculation formula is as follows: ; in, is the furnace limit damage value, For The remaining damage accumulation value from the beginning to the life limit, From the start time to the target time The cumulative value of damage.

[0068] 2) Use the weighted moving average method to estimate the average temperature gradient , assuming that the temperature gradient sequence in the past m time steps is , the corresponding weight sequence is , the weight adopts exponential decay form , is the attenuation coefficient, j is the index of the time step required for calculation, and the average temperature gradient calculation formula is: ; in, is the average temperature gradient of the boiler furnace heating surface for the target time, j is the index of the time step required for calculation, m is the time step, is an exponential decay weight.

[0069] Will Substitute into the damage accumulation formula to calculate , ; in, is the initial time point for boiler furnace damage calculation, is the life limit of the boiler furnace, a and b are constants determined according to the characteristics of the boiler furnace material. Indicates the target position of the boiler furnace heating surface Temperature gradient in the thickness direction at the target time t.

[0070] Since the heat flux density through each layer is equal within a specified sufficiently short time interval, that is, each t interval is small enough, resulting in the heat flux density through each layer being equal; therefore Can be used Replace it with Arranged as: ; because , so the remaining life is The calculation formula is:

[0071] in, is the furnace limit damage value, From the start time to the target time The cumulative damage value of is the average temperature gradient of the boiler furnace heating surface during the target time, and a and b represent constants determined according to the boiler furnace material properties.

[0072] It should be noted that the attenuation coefficient As well as the time step m, they need to be manually initialized and set by professionals, and can be optimized based on the historical data of boiler operation to determine the optimal parameters.

[0073] In an embodiment of the present invention, the temperature gradient is input into the damage function to predict the remaining life of the boiler furnace, which also includes: determining the remaining life of the weakest point, the distribution pattern and the cumulative value of regional damage based on the life prediction results of each monitoring point on the heating surface of the boiler furnace, and determining the overall remaining life of the furnace based on the remaining life of the weakest point, the distribution pattern and the cumulative value of regional damage.

[0074] It should be noted that (1) this application selects the minimum value based on the remaining life of multiple monitoring positions on the boiler furnace heating surface to determine the remaining life of the weakest point, and conducts a detailed analysis of the weakest point to find out the reasons why it becomes the most vulnerable part; (2) draws a damage degree distribution map of different monitoring points, and uses time series analysis methods such as the ARIMA model to identify and extract the periodic law of damage evolution; (3) calculates the cumulative damage value of each monitoring point based on the damage function and temperature gradient, and analyzes the mutual influence between adjacent monitoring points. Specifically, the data fitting method is used to construct the trend curve of changes in the entire life cycle, the interpolation method is used to fill the local data gaps, the extrapolation method is combined to expand the prediction time span, and the time series analysis including the ARIMA (autoregressive integrated moving average model) model is used to explore the periodic law of damage evolution. Finally, the damage status distribution of each area of ​​the furnace is dynamically mapped with a color heat map, and the trend curve is generated simultaneously to visualize the aging process of the equipment, providing the power plant with intuitive remaining life assessment and risk warning.

[0075] According to the boiler furnace life prediction method proposed in an embodiment of the present invention, the temperature gradient of the boiler furnace heating surface in the thickness direction is calculated based on the material data of the boiler furnace heating surface and the temperature data that changes with time series, and the temperature gradient is brought into the damage function of the boiler furnace heating surface constructed by the material data to predict the remaining life of the boiler furnace. This not only realizes the accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, but also more accurately grasps the thermal stress distribution of the boiler furnace heating surface, thereby providing a reliable basis for discovering potential damage risks in advance, and also improves the accuracy of the remaining life prediction of the boiler furnace, so as to effectively guide the power plant to conduct scientific management and maintenance planning of the boiler equipment throughout the life cycle.

[0076] Next, the boiler furnace life prediction device proposed according to the embodiment of the present invention is described with reference to the accompanying drawings.

[0077] Figure 3 It is a block diagram of a boiler furnace life prediction device according to an embodiment of the present invention.

[0078] like Figure 3 As shown, the boiler furnace life prediction device 10 includes: an acquisition module 100, a calculation module 200 and a prediction module 300.

[0079] Among them, the acquisition module 100 is used to obtain the material data of the boiler furnace heating surface and the temperature data that changes with time series; the calculation module 200 is used to calculate the temperature gradient of the boiler furnace heating surface based on the material data and the temperature data that changes with time series, and construct a damage function of the boiler furnace heating surface based on the material data, wherein the damage function characterizes the degree of damage to the boiler furnace heating surface; the prediction module 300 is used to predict the remaining life of the boiler furnace using the temperature gradient.

[0080] In an embodiment of the present invention, the calculation module 200 is further used to: calculate the heat flux density of each layer of material in the boiler furnace based on temperature data and material data that change with time series; construct a temperature relationship function at the interface between two adjacent layers of material based on the heat flux density of each layer of material in the boiler furnace; and generate a temperature gradient of the heating surface of the boiler furnace in the thickness direction based on the temperature relationship function.

[0081] In the embodiment of the present invention, the calculation formula of the temperature gradient is:

[0082] in, Represented as the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, Indicates the target position of the i+1th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, represents the thermal conductivity of the i-th layer material, represents the thickness of the i-th layer of material, and n represents the total number of material layers on the heating surface of the boiler furnace.

[0083] In the embodiment of the present invention, the damage function is calculated as follows:

[0084] in, Indicates the target position of the boiler heating surface at the target time point t The damage function is: a and b are constants determined according to the boiler furnace material properties. is the total time variable for the cumulative damage calculation, Indicates the target position of the boiler furnace heating surface Temperature gradient in the thickness direction at the target time t.

[0085] In an embodiment of the present invention, the prediction module 300 is further used to: identify the temperature gradient and the corresponding weight of each time step; calculate the average temperature gradient of the target time step based on the temperature gradient and the corresponding weight of each time step; input the average temperature gradient into the damage function to calculate the current cumulative damage value of the boiler furnace; obtain the limit damage value of the boiler furnace, and calculate the remaining life of the boiler furnace based on the limit damage value and the current cumulative damage value.

[0086] In the embodiment of the present invention, the calculation formula of the remaining life is:

[0087] in, Indicates the remaining life of the boiler furnace, Indicates the limit damage value of boiler furnace, Indicated in The cumulative value of boiler furnace damage at the time, a and b represent constants determined according to the boiler furnace material characteristics, and e represents a natural constant. Indicates the average temperature gradient of the boiler furnace heating surface for the target duration.

[0088] It should be noted that the above explanations and descriptions of the boiler furnace life prediction method embodiment are also applicable to the boiler furnace life prediction device of this embodiment, and will not be repeated here.

[0089] Specifically, if Figure 4 As shown, the boiler furnace life prediction device of the present invention includes: a temperature monitoring module, a data collection module, a prediction module and a display module.

[0090] Among them, the temperature monitoring module uses a high-temperature resistant temperature sensor, including but not limited to an optical fiber sensor or a platinum resistance sensor, which is arranged on the heating surface of the boiler furnace to collect real-time boiler heating surface temperature data that changes with time series; The data collection module is used to collect the material data of the boiler furnace heating surface, and the material data includes: the material thickness and material thermal conductivity determined by material testing; Prediction module, the prediction module is connected with the data collection module and the temperature monitoring module, calculates the temperature gradient on the heating surface based on the temperature data monitored by the temperature monitoring module and the material data collected by the data collection module, then characterizes the damage degree of the boiler furnace heating surface by combining the damage function constructed with the material data, and then uses the weighted moving average method combined with the average temperature gradient to substitute into the damage function to predict and calculate the remaining life of the boiler furnace; The display module is connected with the prediction module data and is used to show the life prediction calculation results of the boiler furnace to relevant staff.

[0091] According to the boiler furnace life prediction device proposed in the embodiment of the present invention, the temperature gradient of the boiler furnace heating surface in the thickness direction is calculated based on the material data of the boiler furnace heating surface and the temperature data that changes with time series, and the temperature gradient is brought into the damage function of the boiler furnace heating surface constructed by the material data to predict the remaining life of the boiler furnace. This not only realizes the accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, but also more accurately grasps the thermal stress distribution of the boiler furnace heating surface, thereby providing a reliable basis for discovering potential damage risks in advance, and also improves the accuracy of the remaining life prediction of the boiler furnace, so as to effectively guide the power plant to conduct scientific management and maintenance planning of the boiler equipment throughout the life cycle.

[0092] Figure 5 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device may include: A memory 501 , a processor 502 , and a computer program stored in the memory 501 and executable on the processor 502 .

[0093] When the processor 502 executes the program, the boiler furnace life prediction method provided in the above embodiment is implemented.

[0094] Furthermore, the electronic device further comprises: The communication interface 503 is used for communication between the memory 501 and the processor 502 .

[0095] The memory 501 is used to store computer programs that can be executed on the processor 502 .

[0096] The memory 501 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0097] If the memory 501, the processor 502 and the communication interface 503 are implemented independently, the communication interface 503, the memory 501 and the processor 502 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0098] Optionally, in a specific implementation, if the memory 501, the processor 502 and the communication interface 503 are integrated on a chip, the memory 501, the processor 502 and the communication interface 503 can communicate with each other through an internal interface.

[0099] The processor 502 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention.

[0100] An embodiment of the present invention further provides a computer-readable storage medium on which a computer program or instruction is stored. When the computer program or instruction is executed by a processor, the above boiler furnace life prediction method is implemented.

[0101] An embodiment of the present invention further provides a computer program product, including a computer program or instructions, which, when executed, implements the above boiler furnace life prediction method.

[0102] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0103] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "N" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0104] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0105] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one or a combination of multiple of the following technologies known in the art: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0106] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

Claims

1. A method for predicting boiler furnace life, characterized in that: The following steps are involved: Obtain the material data of the boiler furnace heating surface and the temperature data that changes over time; Based on the material data and the temperature data that changes with time series, the temperature gradient of the boiler furnace heating surface is calculated, and based on the material data, a damage function of the boiler furnace heating surface is constructed, wherein the damage function represents the degree of damage to the boiler furnace heating surface; The temperature gradient is input into a damage function to predict the remaining life of the boiler furnace.

2. The boiler furnace life prediction method according to claim 1, characterized in that: The step of calculating the temperature gradient of the heating surface of the boiler furnace based on the material data and the temperature data that changes with time series includes: Calculate the heat flux density of each layer of material in the boiler furnace according to the temperature data changing with time series and the material data; Constructing a temperature relationship function at the interface between two adjacent layers of material according to the heat flux density of each layer of material in the boiler furnace; The temperature gradient of the boiler furnace heating surface in the thickness direction is generated according to the temperature relationship function.

3. The boiler furnace life prediction method according to claim 2, characterized in that: The calculation formula of the temperature gradient is: in, Represented as the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t, Indicates the target position of the i-th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, Indicates the target position of the i+1th layer of material on the heating surface of the boiler furnace The temperature gradient at the target time point t, represents the thermal conductivity of the i-th layer material, represents the thickness of the i-th layer of material, and n represents the total number of material layers on the heating surface of the boiler furnace.

4. The boiler furnace life prediction method according to claim 1, characterized in that: The damage function is calculated as follows: in, Indicates the target position of the boiler heating surface at the target time point t The damage function is: a and b are constants determined according to the boiler furnace material properties. is the total time variable for the cumulative damage calculation, Indicates the target position of the boiler furnace heating surface Temperature gradient in the thickness direction at the target time t.

5. The boiler furnace life prediction method according to claim 4, characterized in that: The step of inputting the temperature gradient into a damage function to predict the remaining life of the boiler furnace comprises: Identify the temperature gradient and corresponding weight at each time step; Calculate the average temperature gradient of the target time step according to the temperature gradient of each time step and the corresponding weight; Inputting the average temperature gradient into the damage function to calculate the current damage accumulation value of the boiler furnace; The limit damage value of the boiler furnace is obtained, and the remaining life of the boiler furnace is calculated according to the limit damage value and the current damage accumulation value.

6. The boiler furnace life prediction method according to claim 5, characterized in that: The calculation formula of the remaining life is: in, Indicates the remaining life of the boiler furnace, Indicates the limit damage value of boiler furnace. Indicated in The cumulative value of boiler furnace damage at the time, a and b represent constants determined according to the boiler furnace material characteristics, and e represents a natural constant. Indicates the average temperature gradient of the boiler furnace heating surface for the target duration.

7. A boiler furnace life prediction device, characterized in that: include: An acquisition module is used to acquire the material data of the boiler furnace heating surface and the temperature data that changes with time series; A calculation module, used to calculate the temperature gradient of the boiler furnace heating surface based on the material data and the temperature data changing with time series, and to construct a damage function of the boiler furnace heating surface based on the material data, wherein the damage function represents the degree of damage to the boiler furnace heating surface; The prediction module is used to input the temperature gradient into a damage function to predict the remaining life of the boiler furnace.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the boiler furnace life prediction method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: The program is executed by a processor to implement the boiler furnace life prediction method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, is used to implement the boiler furnace life prediction method according to any one of claims 1 to 6.

Images