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

Abstract

The present invention relates to the technical field of thermal power generation, and particularly relates to a method, device, equipment, medium and program for predicting the service life of a boiler furnace. The method includes: obtaining material data of the heating surface of the boiler furnace and temperature data varying with time series; calculating the temperature gradient of the heating surface of the boiler furnace based on the material data and the temperature data varying with time series, and constructing a damage function of the heating surface of the boiler furnace based on the material data, where the damage function characterizes the damage degree of the heating surface of the boiler furnace; and inputting the temperature gradient into the damage function to predict the remaining service life of the boiler furnace. Thus, the problems in the related art that the damage condition of the heating surface of the boiler furnace cannot be comprehensively evaluated, resulting in inaccurate prediction of the service life of the boiler furnace and the like are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power generation, and particularly relates to a method, device, equipment, medium and program for predicting the life of a boiler furnace. Background Art

[0002] At present, power supply mostly relies on coal-fired power generation. The coal-fired power generation technology is advancing towards high efficiency and cleanness, and the operating parameters are improved, which makes the high-temperature and pressure-bearing metal components of the unit face higher safety tests. At the same time, the large-scale application of renewable energy power generation makes the coal-fired generating units frequently perform deep peak shaving, and the load operation has an adverse impact on the safety and life of the metal components.

[0003] During the high-parameter and deep peak shaving operation of the unit, the metal technical supervision of the power station boiler faces many challenges, such as unstable combustion caused by complex working conditions in the furnace, over-temperature operation of the heating surface tubes, low-cycle fatigue damage, and accelerated generation and shedding of oxide scales 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 station boiler furnace. The heating surface tubes are heated by the high-temperature flue gas in the furnace, and the internal temperature is in the range of 450 - 650 degrees.

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

[0005] The present invention provides a method, device, equipment, medium and program for predicting the life of a boiler furnace to solve the problems such as the inability to comprehensively evaluate the damage of the heating surface of the boiler furnace, resulting in inaccurate prediction of the life of the boiler furnace.

[0006] In a first aspect embodiment of the present invention, a method for predicting the life of a boiler furnace is provided, including the following steps: obtaining the material data of the heating surface of the boiler furnace and the temperature data changing with the time series; calculating the temperature gradient of the heating surface of the boiler furnace based on the material data and the temperature data changing with the time series, and constructing a damage function of the heating surface of the boiler furnace based on the material data, where the damage function characterizes the degree of damage to the heating surface of the boiler furnace; inputting the temperature gradient into the damage function to predict the remaining life of the boiler furnace.

[0007] Through the above technical solution, 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 the time series, and substitute the temperature gradient into the damage function of the boiler furnace heating surface constructed from 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 early detection of potential damage risks, and also improves the accuracy of predicting the remaining life of the boiler furnace, so as to effectively guide the power plant to carry out scientific management and maintenance planning for the boiler equipment throughout its life cycle.

[0008] Optionally, calculating the temperature gradient of the boiler furnace heating surface based on the material data and the temperature data changing with the time series includes: calculating the heat flux density of each layer of material in the boiler furnace according to the temperature data changing with the time series and the material data; constructing a temperature relationship function at the interface of adjacent two layers of materials according to the heat flux density of each layer of material in the boiler furnace; 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 solution, 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 changing with the time series and the material data, thereby constructing a temperature relationship function at the interface of adjacent two layers of materials based on the heat flux density of each layer of material in the boiler furnace to calculate the temperature gradient of the boiler furnace heating surface in the thickness direction, realizing the 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.

[0010] Optionally, the calculation formula of the temperature gradient is:

[0011]

[0012] where represents the temperature gradient in the thickness direction of the target position of the boiler furnace heating surface at the target time point t, represents the temperature gradient of the i-th layer of material at the target position of the boiler furnace heating surface at the target time point t, represents the temperature gradient of the (i + 1)-th layer of material at the target position of the boiler furnace heating surface at the target time point t, represents the thermal conductivity of the i-th layer of material, represents the thickness of the i-th layer of material, and n represents the total number of material layers of the boiler furnace heating surface.

[0013] Optionally, the calculation formula of the damage function is:

[0014]

[0015] where, represents the damage function at the target position of the boiler heating surface at the target time point t, a and b represent constants determined according to the material characteristics of the boiler furnace, is the total time variable for cumulative damage calculation, is the total time variable for cumulative damage calculation, represents the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t.

[0016] Optionally, predicting the remaining life of the boiler furnace by inputting the temperature gradient into the damage function includes: identifying the temperature gradient and the corresponding weight at each time step; calculating the average temperature gradient of the target time step according to the temperature gradient and the corresponding weight at each time step; inputting the average temperature gradient into the damage function to calculate the current damage accumulation value of the boiler furnace; obtaining the ultimate damage value of the boiler furnace, and calculating the remaining life of the boiler furnace according to the ultimate damage value and the current damage accumulation value.

[0017] Through the above technical solutions, the embodiments of the present invention can calculate the average temperature gradient of the target time step according to the temperature gradient and the corresponding weight at each time step, so as to substitute 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 ultimate damage value of the boiler furnace obtained from the thermal fatigue experiment and the current damage accumulation value, improving the accuracy of predicting the remaining life of the boiler furnace, so as to effectively guide the power plant to carry out scientific management and maintenance planning for the boiler equipment throughout the life cycle subsequently.

[0018] Optionally, the calculation formula of the remaining life is:

[0019]

[0020] where, represents the remaining life of the boiler furnace, represents the ultimate damage value of the boiler furnace, represents at The cumulative damage value of the boiler furnace at the moment, a and b represent constants determined according to the material characteristics of the boiler furnace, e represents the natural constant, represents the average temperature gradient of the boiler furnace heating surface for the target duration.

[0021] In the second aspect of the present invention, an embodiment provides a device for predicting the service life of a boiler furnace, including: an acquisition module for acquiring material data of the heating surface of the boiler furnace and temperature data varying with time series; a calculation module for calculating the temperature gradient of the heating surface of the boiler furnace based on the material data and the temperature data varying with time series, and constructing a damage function of the heating surface of the boiler furnace based on the material data, where the damage function characterizes the damage degree of the heating surface of the boiler furnace; a prediction module for predicting the remaining service life of the boiler furnace using the temperature gradient.

[0022] Optionally, the calculation module is further configured to: calculate the heat flux density of each layer of material in the boiler furnace according to the temperature data varying with time series and the material data; construct a temperature relationship function at the interface between adjacent two layers of materials according to 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 according to the temperature relationship function.

[0023] Optionally, the calculation formula of the temperature gradient is:

[0024]

[0025] Where represents the temperature gradient in the thickness direction of the target position of the heating surface of the boiler furnace at the target time point t, represents the temperature gradient of the i-th layer of material at the target position of the heating surface of the boiler furnace at the target time point t, represents the temperature gradient of the (i + 1)-th layer of material at the target position of the heating surface of the boiler furnace at the target time point t, represents the thermal conductivity of the i-th layer of material, represents the thickness of the i-th layer of material, and n represents the total number of layers of materials of the heating surface of the boiler furnace. at the target time point t,

[0026] Optionally, the calculation formula of the damage function is:

[0027]

[0028] Where represents the damage function at the target position of the heating surface of the boiler at the target time point t, a and b represent constants determined according to the material characteristics of the boiler furnace, is the total time variable for cumulative damage calculation, represents the target position of the heating surface of the boiler furnace, at the target time point t, represents the temperature gradient in the thickness direction.

[0029] Optionally, the prediction module is further configured to: identify the temperature gradient and the corresponding weight at each time step; calculate the average temperature gradient of the target time step according to the temperature gradient and the corresponding weight at each time step; input the average temperature gradient into a damage function to calculate the current damage accumulation value of the boiler furnace; obtain the ultimate damage value of the boiler furnace, and calculate the remaining life of the boiler furnace according to the ultimate damage value and the current damage accumulation value.

[0030] Optionally, the formula for calculating the remaining life is:

[0031]

[0032] Wherein, represents the remaining life of the boiler furnace, represents the ultimate damage value of the boiler furnace, represents at the cumulative damage value of the boiler furnace at the moment, a and b represent constants determined according to the material characteristics of the boiler furnace, e represents the natural constant, represents the average temperature gradient of the heating surface of the boiler furnace for the target duration.

[0033] An embodiment of the third aspect of the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to perform the boiler furnace life prediction method as described in the above embodiment.

[0034] An embodiment of the fourth aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, and the program is executed by a processor to perform the boiler furnace life prediction method as described in the above embodiment.

[0035] An embodiment of the fifth aspect of the present invention provides a computer program product, including a computer program or instruction, and when the computer program or instruction is executed, it is used to implement the boiler furnace life prediction method as described in the above embodiment.

[0036] Therefore, the present invention has at least the following beneficial effects:

[0037] In the embodiments of the present invention, the temperature gradient of the boiler furnace heating surface in the thickness direction can be calculated based on the material data of the boiler furnace heating surface and the temperature data varying with the time series. The temperature gradient is brought into the damage function of the boiler furnace heating surface constructed from the material data to predict the remaining life of the boiler furnace. This not only realizes the accurate and real-time monitoring and analysis of the temperature gradient of the boiler heating surface, more accurately grasps the thermal stress distribution of the boiler furnace heating surface, thereby providing a reliable basis for early detection of potential damage risks, but also improves the accuracy of predicting the remaining life of the boiler furnace, so as to effectively guide the power plant in the scientific management and maintenance planning of the boiler equipment throughout its life cycle.

[0038] Additional aspects and advantages of the present invention will be given in part in the following description, become apparent in part from the following description, or be understood through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The above and / or additional aspects and advantages of the present invention will become apparent and be readily understood from the following description of the embodiments in conjunction with the drawings, wherein:

[0040] Figure 1 is a flowchart of a method for predicting the life of a boiler furnace according to an embodiment of the present invention;

[0041] Figure 2 is a flowchart of the calculation for predicting the life of a boiler furnace according to an embodiment of the present invention;

[0042] Figure 3 is a block diagram of a device for predicting the life of a boiler furnace according to an embodiment of the present invention;

[0043] Figure 4 is a working schematic diagram of a device for predicting the life of a boiler furnace according to an embodiment of the present invention;

[0044] Figure 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

[0045] Description of the reference numerals: The device 10 for predicting the life of a boiler furnace, the acquisition module 100, the calculation module 200, and the prediction module 300. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0046] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are intended to explain the present invention, and should not be construed as limiting the present invention.

[0047] In the related art, first, there is a lack of accurate real-time monitoring and analysis capabilities for temperature gradients. During the operation of a boiler, it is difficult to accurately grasp the temperature gradient changes at different positions of the heating surface, and it is impossible to provide a comprehensive and detailed data basis for accurately evaluating the degree of metal damage subsequently. As a result, the prediction of heating surface damage is not precise enough, and it is difficult to formulate targeted maintenance strategies in advance. Second, the life prediction model is not perfect. Most existing technologies do not fully consider the material characteristics of the boiler furnace lining during calculation, and do not fully consider the cumulative effect of temperature gradients over time and the dynamic impact of operating conditions on life when predicting life. This makes the prediction results deviate greatly from the actual situation, and it is impossible to effectively guide the power plant in the scientific management and maintenance planning of the boiler equipment throughout its life cycle, and it is difficult to maximize the equipment operation efficiency while ensuring safety.

[0048] Therefore, the present invention calculates the temperature gradient in the thickness direction of the boiler furnace heating surface based on the material data of the boiler furnace heating surface and the temperature data changing with the time series, and substitutes the temperature gradient into the damage function of the boiler furnace heating surface constructed from 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, more accurately grasps the thermal stress distribution of the boiler furnace heating surface, thereby providing a reliable basis for early detection of potential damage risks, but also improves the accuracy of predicting the remaining life of the boiler furnace to effectively guide the power plant in the scientific management and maintenance planning of the boiler equipment throughout its life cycle.

[0049] The following describes the boiler furnace life prediction method, device, electronic device, storage medium, and program according to the embodiments of the present invention with reference to the accompanying drawings.

[0050] Specifically, Figure 1 is a schematic flowchart of a boiler furnace life prediction method provided by an embodiment of the present invention.

[0051] As Figure 1 shown, the boiler furnace life prediction method includes the following steps:

[0052] In step S101, obtain the material data of the boiler furnace heating surface and the temperature data changing with the time series.

[0053] It can be understood that the present invention can use high-temperature-resistant temperature sensors to obtain the temperature data of the boiler furnace heating surface changing with the time series, and obtain the material data of the boiler furnace heating surface to facilitate subsequent calculation of the temperature gradient of the boiler furnace heating surface.

[0054] It should be noted that the temperature sensor includes, but is not limited to, an optical fiber sensor or a platinum resistance sensor. The temperature sensor is arranged on the outer wall and inner wall of the heating surface of the boiler furnace. For internal positions where it is inconvenient to install the sensor, devices such as an infrared thermal imager, a thermocouple, and a heat flow meter can be used to measure the inner wall temperature, so as to collect the temperature data of the boiler heating surface that changes over time series in real time; the material data includes the thickness of the material and the material thermal conductivity determined through material testing.

[0055] In step S102, based on the material data and the temperature data that changes over time series, calculate the temperature gradient of the heating surface of the boiler furnace, and construct a damage function of the heating surface of the boiler furnace based on the material data, where the damage function characterizes the damage degree of the heating surface of the boiler furnace.

[0056] It can be understood that the embodiment of the present invention can calculate the temperature gradient of the heating surface of the boiler furnace based on the material data and the temperature data that changes over time series, realizing accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, more accurately grasping the thermal stress distribution of the heating surface of the boiler furnace, so as to provide a reliable basis for early detection of potential damage risks, and construct a damage function of the heating surface of the boiler furnace based on the material data, so as to calculate the remaining life of the boiler furnace according to the loss function subsequently.

[0057] In the embodiment of the present invention, calculating the temperature gradient of the heating surface of the boiler furnace based on the material data and the temperature data that changes over time series includes: calculating the heat flux density of each layer of material in the boiler furnace according to the temperature data and the material data that changes over time series; constructing a temperature relationship function at the interface of adjacent two layers of materials according to the heat flux density of each layer of material in the boiler furnace; generating the temperature gradient of the heating surface of the boiler furnace in the thickness direction according to the temperature relationship function.

[0058] Among them, the calculation formula of the temperature gradient is:

[0059] ;

[0060] Among them, represents the temperature gradient in the thickness direction of the target position of the heating surface of the boiler furnace at the target time point t, represents the temperature gradient of the i-th layer of material at the target position of the heating surface of the boiler furnace at the target time point t, represents the temperature gradient of the (i + 1)-th layer of material at the target position of the heating surface of the boiler furnace at the target time point t, represents the thermal conductivity of the i-th layer of material, represents the thickness of the i-th layer of material, and n represents the total number of material layers of the heating surface of the boiler furnace.

[0061] It is understandable that the embodiments of the present invention can calculate the heat flux density of each layer of materials in the boiler furnace according to the temperature data and material data that change with the time series; construct a temperature relationship function at the interface between adjacent two layers of materials based on the heat flux density of each layer of materials in the boiler furnace; generate the temperature gradient in the thickness direction of the heating surface of the boiler furnace according to the temperature relationship function, realizing the accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, more accurately grasping the thermal stress distribution of the heating surface of the boiler furnace, and thus providing a reliable basis for early detection of potential damage risks.

[0062] Specifically, as Figure 2 shown, according to the temperature monitoring results of the boiler heating surface, by applying Fourier's law and based on information including the number of furnace wall material layers, the thickness of each layer, and the thermal conductivity, the temperature gradient at a certain point on the boiler heating surface is calculated. The specific steps are as follows:

[0063] (1) Assume that the coordinates of a certain point on the heating surface of the boiler furnace are , and the temperature of this point at time t is . Since the furnace wall has a certain thickness, let the thickness direction be the z-axis, perpendicular to the furnace wall plane, and the furnace wall is composed of n layers of different materials. The thickness of the i-th layer of material is , and the thermal conductivity is .

[0064] (2) Calculate the heat flux density at the interface between adjacent two layers of materials :

[0065] ;

[0066] Among them, represents the temperature gradient of the i-th layer of material at the target position on the heating surface of the boiler furnace at the target time point t, is the material thickness.

[0067] (3) Assume that within a specified sufficiently short time interval, the heat flux density passing through each layer is equal, that is:

[0068] ;

[0069] Then at the interface between the i-th layer and the i + 1-th layer of materials:

[0070]

[0071] Among them, is the thermal conductivity of the i-th layer of material, is the thermal conductivity of the i + 1-th layer of material, represents the temperature gradient of the i-th layer of material at the target position on the heating surface of the boiler furnace at the target time point t, Denote the temperature gradient of the (i + 1)-th layer material at the target position on the heating surface of the boiler furnace at the target time point t , is the thickness of the i-th layer material, is the thickness of the (i + 1)-th layer material.

[0072] After arrangement, the temperature gradient of the (i + 1)-th layer material at the target position (x, y) on the heating surface of the boiler furnace at the target time point t can be obtained as follows:

[0073] ;

[0074] wherein, is the thermal conductivity of the i-th layer material, is the thermal conductivity of the (i + 1)-th layer material, denotes the temperature gradient of the i-th layer material at the target position on the heating surface of the boiler furnace at the target time point t, denotes the temperature gradient of the (i + 1)-th layer material at the target position on the heating surface of the boiler furnace at the target time point t, is the temperature gradient of the (i + 2)-th layer material at the target position on the heating surface of the boiler furnace at the target time point t, is the thickness of the i-th layer material, is the thickness of the (i + 1)-th layer material.

[0075] (4) Based on the formula in step (3), recursively obtain the temperature relationships of each layer in turn, and then calculate the temperature gradient in the thickness direction at this point:

[0076] ;

[0077] wherein, denotes the temperature gradient in the thickness direction at the target position on the heating surface of the boiler furnace at the target time point t, denotes the temperature gradient of the i-th layer material at the target position on the heating surface of the boiler furnace at the target time point t, denotes the temperature gradient of the (i + 1)-th layer material at the target position on the heating surface of the boiler furnace at the target time point t, denotes the thermal conductivity of the i-th layer material, denotes the thickness of the i-th layer material, and n denotes the total number of layers of materials on the heating surface of the boiler furnace.

[0078] In step S103, input the temperature gradient into the damage function to predict the remaining life of the boiler furnace.

[0079] It can be understood that the embodiments of the present invention can input the temperature gradient into the damage function to predict the remaining life of the boiler furnace, thereby improving the accuracy of the remaining life prediction of the boiler furnace, and then effectively guiding the power plant to carry out scientific management and maintenance planning for the boiler equipment throughout the life cycle.

[0080] In the embodiments of the present invention, 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 at each time step; calculating the average temperature gradient of the target time step according to the temperature gradient and the corresponding weight at each time step; inputting the average temperature gradient into the damage function to calculate the current damage accumulation value of the boiler furnace; obtaining the ultimate damage value of the boiler furnace, and calculating the remaining life of the boiler furnace according to the ultimate damage value and the current damage accumulation value.

[0081] Among them, the calculation formula of the damage function:

[0082] ;

[0083] Among them, represents the damage function at the target position of the boiler heating surface at the target time point t, a and b represent constants determined according to the material characteristics of the boiler furnace, is the total time variable for cumulative damage calculation, is the total time variable for cumulative damage calculation, represents the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t.

[0084] Among them, the calculation formula of the remaining life is:

[0085]

[0086] Among them, represents the remaining life of the boiler furnace, represents the ultimate damage value of the boiler furnace, represents at The cumulative damage value of the boiler furnace at the moment, a and b represent constants determined according to the material characteristics of the boiler furnace, e represents the natural constant, represents the average temperature gradient of the boiler furnace heating surface for the target duration.

[0087] It is understandable that the embodiments of the present invention can calculate the average temperature gradient at the target time step according to the temperature gradient and the corresponding weight at each time step, so as to substitute 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 limit damage value and the current damage accumulation value of the boiler furnace obtained from the thermal fatigue experiment, 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 for the whole life cycle of the boiler equipment subsequently.

[0088] 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 conducting a thermal fatigue experiment on the boiler furnace material. , where a and b represent constants determined according to the material characteristics of the boiler furnace. Here, F represents the damage function. During the thermal fatigue experiment, the damage conditions of the material at different temperature gradients are recorded, and then these parameter values are fitted. The fitting formula is as follows:

[0089]

[0090] where is the temperature gradient in the thickness direction of a certain point on the material during the thermal fatigue experiment, which is obtained through experimental measurement; a and b are constants determined according to the material characteristics of the boiler furnace and are obtained based on the thermal fatigue experiment.

[0091] Specifically, the data recorded on the damage conditions of the material at multiple different temperature gradients are subjected to fitting processing, and the least squares fitting method is used to determine the values of the constants a and b.

[0092] The thermal fatigue experiment is a test method for evaluating the damage resistance ability of materials under periodic temperature change conditions. By simulating the periodic temperature change that the boiler furnace material withstands during actual operation, the influence of the temperature gradient on material damage is quantified, and the key parameters of the damage function are determined.

[0093] Specifically, as Figure 2 shown, the specific steps for calculating the remaining life of the boiler furnace are as follows:

[0094] (1) Introduce the damage function for constructing the heating surface of the boiler furnace based on the material data mentioned above. Since the damage is continuous, assume the damage function for the time period from the start of operation time to the target time point :

[0095]

[0096] where is the total time variable for cumulative damage calculation, representing the time period from the start of operation time to the target time point The time period, which is used to calculate the degree of damage accumulation, and the value range of t is , is the damage rate function related to the temperature gradient.

[0097] Since , where a and b are constants determined according to the material properties of the boiler furnace, and e is the natural constant, which is obtained by fitting a large amount of thermal fatigue experimental data of boiler furnace materials. Therefore, after sorting, we can get:

[0098] ；

[0099] represents the damage function at the target position of the boiler heating surface at the target time point t , a and b represent constants determined according to the material properties of the boiler furnace, is the total time variable for cumulative damage calculation, represents the target position of the boiler furnace heating surface The temperature gradient in the thickness direction at the target time point t.

[0100] (2) Prediction of the remaining life of the boiler furnace:

[0101] 1) For the target position of the boiler heating surface at the current time The already accumulated damage function is set as , where

[0102] ;

[0103] The furnace ultimate damage value obtained from the above thermal fatigue experiment is expressed as Therefore, from The remaining damage accumulation value from the start to the life limit is set as , and the calculation formula is as follows:

[0104] ;

[0105] Among them, is the furnace ultimate damage value, is the remaining damage accumulation value from to the life limit, is the damage accumulation value from the start time of operation to the target time .

[0106] 2) Use the weighted moving average method to estimate the average temperature gradient , assuming that the temperature gradient sequence within the past m time steps is , and the corresponding weight sequence is , the weights adopt an exponential decay form , is the decay coefficient, j is the index of the time step required for calculation, then the formula for calculating the average temperature gradient is:

[0107] ;

[0108] Among them, is the average temperature gradient of the boiler furnace heating surface at the target duration, j is the index of the time step required for calculation, m is the time step, is the exponential decay weight.

[0109] Substitute into the damage accumulation formula for calculation ,

[0110] ;

[0111] Among them, is the initial time point for the damage calculation of the boiler furnace, is the life limit value of the boiler furnace, a and b are constants determined according to the material characteristics of the boiler furnace, represents the target position of the boiler furnace heating surface at the temperature gradient in the thickness direction at the target time point t.

[0112] Since within a specified sufficiently short time interval, the heat flux density passing through each layer is equal, that is, each t interval is small enough, resulting in the heat flux density passing through each layer being equal; therefore can be used to replace, then the corresponding is sorted out as:

[0113] ;

[0114] Since , the remaining life is obtained with the calculation formula:

[0115]

[0116] Among them, is the furnace limit damage value, is the damage accumulation value from the start of operation time to the target time , is the average temperature gradient of the boiler furnace heating surface at the target duration, a and b are constants determined according to the material characteristics of the boiler furnace.

[0117] It should be clear that the decay coefficient And the time step m needs to be manually initialized by professionals and can be optimized according to the historical data of boiler operation to determine the optimal parameters.

[0118] In the embodiment of the present invention, predicting the remaining life of the boiler furnace by inputting the temperature gradient into the damage function further includes: determining the remaining life, distribution law, and regional damage accumulation value of the weakest point according to 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 according to the remaining life, distribution law, and regional damage accumulation value of the weakest point.

[0119] It should be noted that (1) in this application, the minimum value is selected from the remaining lives of multiple monitoring positions on the heating surface of the boiler furnace to determine the remaining life of the weakest point, and a detailed analysis is carried out on the weakest point to find out the reasons for it to become the most vulnerable part; (2) draw the damage degree distribution maps of different monitoring points, and use time series analysis methods such as the ARIMA model to identify and extract the periodic law of damage evolution; (3) calculate the cumulative damage value of each monitoring point based on the damage function and temperature gradient, and analyze the mutual influence between adjacent monitoring points.

[0120] Specifically, a data fitting method is used to construct a full-life cycle change trend curve, the interpolation method is used to fill in the missing local data, the extrapolation method is combined to extend the prediction time span, and the periodic law of damage evolution is mined through time series analysis including the ARIMA (Autoregressive Integrated Moving Average Model) model. Finally, the damage state distribution of each area of the furnace is dynamically mapped with a color heat map, and a trend curve is generated synchronously to visually present the equipment aging process and provide intuitive remaining life assessment and risk warning for the power plant.

[0121] According to the boiler furnace life prediction method proposed in the embodiment of the present invention, the temperature gradient in the thickness direction of the heating surface of the boiler furnace is calculated based on the material data of the heating surface of the boiler furnace and the temperature data changing with the time series, and the temperature gradient is brought into the damage function of the heating surface of the boiler furnace constructed from 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, more accurately grasps the thermal stress distribution of the heating surface of the boiler furnace, thus providing a reliable basis for early detection of potential damage risks, but also improves the accuracy of the remaining life prediction of the boiler furnace to effectively guide the power plant to carry out scientific management and maintenance planning for the boiler equipment throughout the life cycle.

[0122] Next, a boiler furnace life prediction device according to an embodiment of the present invention will be described with reference to the accompanying drawings.

[0123] Figure 3 It is a block diagram of the boiler furnace life prediction device according to an embodiment of the present invention.

[0124] As Figure 3As shown, the boiler furnace life prediction device 10 includes: an acquisition module 100, a calculation module 200, and a prediction module 300.

[0125] Among them, the acquisition module 100 is used to acquire the material data of the boiler furnace heating surface and the temperature data changing with the 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 changing with the time series, and construct a damage function of the boiler furnace heating surface based on the material data, where the damage function characterizes the damage degree of the boiler furnace heating surface; the prediction module 300 is used to predict the remaining life of the boiler furnace based on the temperature gradient.

[0126] In an embodiment of the present invention, the calculation module 200 is further configured to: calculate the heat flux density of each layer of material in the boiler furnace according to the temperature data and material data changing with the time series; construct a temperature relationship function at the interface between adjacent two layers of materials according to the heat flux density of each layer of material in the boiler furnace; generate the temperature gradient of the boiler furnace heating surface in the thickness direction according to the temperature relationship function.

[0127] In an embodiment of the present invention, the calculation formula of the temperature gradient is:

[0128]

[0129] Among them, represents the temperature gradient in the thickness direction of the target position of the boiler furnace heating surface at the target time point t, represents the temperature gradient of the i-th layer of material at the target position of the boiler furnace heating surface at the target time point t, represents the temperature gradient of the (i + 1)-th layer of material at the target position of the boiler furnace heating surface at the target time point t, represents the thermal conductivity of the i-th layer of material, represents the thickness of the i-th layer of material, and n represents the total number of material layers of the boiler furnace heating surface.

[0130] In an embodiment of the present invention, the calculation formula of the damage function:

[0131]

[0132] Among them, represents the damage function of the target position of the boiler heating surface at the target time point t , a and b represent constants determined according to the material characteristics of the boiler furnace, is the total time variable for cumulative damage calculation, represents the target position of the boiler furnace heating surface at the temperature gradient in the thickness direction at the target time point t.

[0133] In an embodiment of the present invention, the prediction module 300 is further configured to: identify the temperature gradient and the corresponding weight at each time step; calculate the average temperature gradient of the target time step according to the temperature gradient and the corresponding weight at each time step; input the average temperature gradient into a damage function to calculate the current damage accumulation value of the boiler furnace; obtain the ultimate damage value of the boiler furnace, and calculate the remaining life of the boiler furnace according to the ultimate damage value and the current damage accumulation value.

[0134] In an embodiment of the present invention, the calculation formula for the remaining life is:

[0135]

[0136] wherein, represents the remaining life of the boiler furnace, represents the ultimate damage value of the boiler furnace, represents at the cumulative damage value of the boiler furnace at the moment, a and b represent constants determined according to the material characteristics of the boiler furnace, e represents the natural constant, represents the average temperature gradient of the heating surface of the boiler furnace for the target duration.

[0137] It should be noted that the foregoing explanation of the embodiment of the boiler furnace life prediction method also applies to the boiler furnace life prediction device of this embodiment, and will not be elaborated here.

[0138] Specifically, as Figure 4 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.

[0139] Among them, the temperature monitoring module, 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 the temperature data of the boiler heating surface changing with the time series in real time;

[0140] The data collection module is used to collect the material data of the heating surface of the boiler furnace. The material data includes: the thickness of the material and the material thermal conductivity determined by material detection;

[0141] The prediction module is data-connected to the data collection module and the temperature monitoring module. Based on the temperature data monitored by the temperature monitoring module and the material data collected by the data collection module, it calculates the temperature gradient on the heating surface, and then combines the damage function constructed by the material data to characterize the damage degree of the heating surface of the boiler furnace. Then, the weighted moving average method is used to combine the average temperature gradient and substitute it into the damage function to predict and calculate the remaining life of the boiler furnace;

[0142] A display module, which is connected to the prediction module for data, is used to display the life prediction calculation results of the boiler furnace to relevant staff.

[0143] 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 changing 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. It not only realizes the accurate real-time monitoring and analysis of the temperature gradient of the boiler heating surface, more accurately grasps the thermal stress distribution of the boiler furnace heating surface, thus providing a reliable basis for early detection of potential damage risks, but also improves the accuracy of the remaining life prediction of the boiler furnace to effectively guide the power plant to conduct scientific management and maintenance planning for the boiler equipment throughout the life cycle.

[0144] Figure 5 The structure diagram of the electronic device provided by the embodiment of the present invention. The electronic device may include:

[0145] A memory 501, a processor 502, and a computer program stored on the memory 501 and executable on the processor 502.

[0146] When the processor 502 executes the program, it implements the boiler furnace life prediction method provided in the above embodiment.

[0147] Further, the electronic device further includes:

[0148] A communication interface 503 for communication between the memory 501 and the processor 502.

[0149] The memory 501 is used to store a computer program executable on the processor 502.

[0150] The memory 501 may include a high-speed RAM memory and may also include a non-volatile memory, such as at least one disk memory.

[0151] 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 interconnected via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 only a thick line is used in Figure 5 , but it does not mean that there is only one bus or one type of bus.

[0152] Optionally, in a specific implementation, if the memory 501, the processor 502, and the communication interface 503 are integrated on a single chip, the memory 501, the processor 502, and the communication interface 503 can communicate with each other through an internal interface.

[0153] 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.

[0154] The embodiments of the present invention further provide 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 method for predicting the life of a boiler furnace as described above is implemented.

[0155] The embodiments of the present invention further provide a computer program product, including a computer program or instruction. When the computer program or instruction is executed, the method for predicting the life of a boiler furnace as described above is implemented.

[0156] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. mean that the specific features, structures, materials, or characteristics described in connection 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 can be combined in any one or N embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0157] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of the present invention, the meaning of "N" is at least two, such as two, three, etc., unless otherwise specifically and clearly defined.

[0158] Any process or method description in a flowchart or described in other ways herein can be understood to represent a module, segment, or part of code including one or N executable instructions for implementing a customized logical function or process, and the scope of the preferred embodiments of the present invention includes additional implementations, where the functions can be executed in a manner that is not in the order shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0159] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, 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 a combination of any one or more of the following technologies well known in the art: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0160] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

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 varies 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 characterizes the degree of damage to the boiler furnace heating surface, wherein the temperature gradient of the boiler furnace heating surface is calculated based on the material data and the temperature data that varies with time series, including: calculating the heat flux density of each layer of material in the boiler furnace according to the temperature data that varies 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; generating a temperature gradient of the boiler furnace heating surface in a thickness direction according to the temperature relationship function; 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 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.

3. 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.

4. The boiler furnace life prediction method according to claim 3 is 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.

5. The boiler furnace life prediction method according to claim 4, 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.

6. 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 for calculating the temperature gradient of the boiler furnace heating surface based on the material data and the temperature data that varies with 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, wherein the calculation of the temperature gradient of the boiler furnace heating surface based on the material data and the temperature data that varies with time series includes: calculating the heat flux density of each layer of material in the boiler furnace according to the temperature data that varies 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; The prediction module is used to input the temperature gradient into a damage function to predict the remaining life of the boiler furnace.

7. 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 5.

8. 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 5.

9. 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 5.

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