Method and apparatus for evaluating service life of furnace tube, and device and medium

Abstract

The present invention relates to the technical field of data processing, and in particular to a method and apparatus for evaluating the service life of a furnace tube, and a device and a medium. The method comprises: acquiring a furnace tube high-temperature plasticity evaluation model, wherein the furnace tube high-temperature plasticity evaluation model is obtained by means of training based on high-temperature plasticity data of historical furnace tubes; using a crawling robot to acquire a surface image, an electromagnetic testing result and a raster scanning result of a target furnace tube; on the basis of the surface image, the electromagnetic testing result and the raster scanning result, determining the degree of oxidation, carburization data and the degree of deformation at different height positions on the target furnace tube; on the basis of any two or more types of the above data and the furnace tube high-temperature plasticity evaluation model, determining plasticity results at different height positions on the target furnace tube; and finally evaluating the remaining service life of the target furnace tube. A prediction model is trained on the basis of data pertaining to three causative factors, i.e., carburization, deformation and oxidation of furnace tubes, such that the prediction model can accurately predict the plasticity of an in-service furnace tube, so as to evaluate the remaining service life of the furnace tube.

Description

A method, apparatus, equipment and medium for assessing furnace tube life. Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method, apparatus, equipment and medium for evaluating the lifespan of furnace tubes. Background Technology

[0002] As is known in the prior art, when the furnace tube undergoes carburizing, the carbon content increases, and the plasticity of the furnace tube decreases; when the furnace tube is exposed to high temperature for a long time, the microstructure of the furnace tube will age over time, and the plasticity of the furnace tube will also decrease (the degree of oxide scale peeling is positively correlated with temperature, and the state of the oxide scale reflects the high temperature process experienced by the furnace tube); when the furnace tube has already bulged and deformed, the plasticity of the furnace tube will also be consumed prematurely, resulting in a decrease in the remaining plasticity, and the decrease in the plasticity of the furnace tube is the direct cause of the furnace tube fracture and cracking.

[0003] Therefore, determining the remaining lifespan of furnace tubes through analysis of carburization, oxidation, and bulging deformation is a pressing technical problem that needs to be solved. Summary of the Invention

[0004] In view of the above problems, the present invention provides a method, apparatus, device and medium for assessing furnace tube life that overcomes or at least partially solves the above problems.

[0005] In a first aspect, the present invention provides a method for evaluating the lifespan of furnace tubes, comprising:

[0006] A high-temperature plasticity assessment model for furnace tubes is obtained. The high-temperature plasticity assessment model for furnace tubes is trained based on historical high-temperature plasticity data of furnace tubes. The high-temperature plasticity data is obtained by laboratory mechanical analysis of the historical furnace tubes.

[0007] A crawling robot was used to collect surface images, electromagnetic test results, and grating scan results of the target furnace tube.

[0008] Based on the surface image, electromagnetic test results, and grating scan results, the degree of oxidation, carburization data, and deformation at different heights on the target furnace tube are determined.

[0009] Based on any two or more of the oxidation degree, carburization data, and deformation degree at different height positions on the target furnace tube, and the high-temperature plasticity evaluation model of the furnace tube, determine the plasticity results at different height positions on the target furnace tube.

[0010] Based on the plasticity results, the remaining life of the target furnace tube is evaluated.

[0011] Preferably, determining the degree of oxidation, carburization data, and deformation at different heights on the target furnace tube based on the surface image, electromagnetic test results, and grating scan results includes:

[0012] Based on the surface image, the degree of oxidation at different heights on the target furnace tube is determined;

[0013] Based on the grating scan results, the degree of deformation at different height positions on the target furnace tube is determined;

[0014] Based on the electromagnetic test results, the carburizing data at different height positions on the target furnace tube were determined.

[0015] Preferably, determining the degree of oxidation at different heights on the target furnace tube based on the surface image includes:

[0016] Based on the surface image, the relative roughness at different height positions on the target furnace tube is determined;

[0017] Based on the relative roughness, the degree of oxidation at different heights on the target furnace tube is determined.

[0018] Preferably, determining the degree of deformation at different height positions on the target furnace tube based on the grating scanning results includes:

[0019] Based on the grating scan results, the bulging rate at different height positions on the target furnace tube is determined;

[0020] Based on the bulging rate, the degree of deformation at different height positions on the target furnace tube is determined.

[0021] Preferably, based on the electromagnetic test results, determining the carburizing data at different height positions on the target furnace tube includes:

[0022] Based on the electromagnetic test results, the coil potential values ​​at different height positions on the target furnace tube are determined;

[0023] Based on the curve of the coil potential value changing with the thickness of the carburized layer on the furnace tube, the carburized data at different height positions on the target furnace tube are determined.

[0024] Preferably, the historical furnace tube is a furnace tube that has been in service for 0 to 15 years, with an service temperature of 900℃ to 1150℃, and is made of 25 / 35 alloy material, 35 / 45 alloy material, or a new alloy material with added Al.

[0025] Preferably, determining the plasticity results at different heights of the target furnace tube based on any two or more of the oxidation degree, carburization data, and deformation degree at different heights on the target furnace tube, and the high-temperature plasticity assessment model of the furnace tube, includes:

[0026] Based on the oxidation degree, carburization data, and deformation degree at different height positions on the target furnace tube, and the high-temperature plasticity assessment model of the furnace tube, the plasticity results at different height positions on the target furnace tube are determined; or

[0027] Based on any two of the oxidation degree, carburization data, and deformation data at different heights on the target furnace tube, and the high-temperature plasticity evaluation model of the furnace tube, the plasticity results at different heights on the target furnace tube are determined.

[0028] In a second aspect, the present invention also provides an apparatus for evaluating the lifespan of furnace tubes, comprising:

[0029] The acquisition module is used to acquire the high-temperature plasticity evaluation model of the furnace tube. The high-temperature plasticity evaluation model of the furnace tube is trained based on the high-temperature plasticity data of historical furnace tubes. The high-temperature plasticity data is obtained by laboratory mechanical analysis of the historical furnace tubes.

[0030] The acquisition module is used to acquire surface images, electromagnetic test results, and grating scan results of the target furnace tube using a crawling robot;

[0031] The first determining module is used to determine the degree of oxidation, carburization data, and deformation at different height positions on the target furnace tube based on the surface image, electromagnetic test results, and grating scan results.

[0032] The second determining module is used to determine the plasticity results at different height positions on the target furnace tube based on any two or more of the oxidation degree, carburization data and deformation degree at different height positions on the target furnace tube and the high-temperature plasticity evaluation model of the furnace tube.

[0033] An evaluation module is used to evaluate the remaining life of the target furnace tube based on the plasticity results.

[0034] Thirdly, the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the method described in the first aspect.

[0035] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in the first aspect.

[0036] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0037] This invention provides a method for assessing the lifespan of furnace tubes, comprising: acquiring a high-temperature plasticity assessment model for the furnace tube, wherein the high-temperature plasticity assessment model is trained based on historical high-temperature plasticity data of furnace tubes, and the high-temperature plasticity data is obtained through laboratory mechanical analysis of historical furnace tubes; collecting surface images, electromagnetic test results, and grating scan results of the target furnace tube by a crawling robot; determining the degree of oxidation, carburization data, and deformation at different height positions on the target furnace tube based on the surface images, electromagnetic test results, and grating scan results; determining the plasticity results at different height positions on the target furnace tube based on any two or more of the degree of oxidation, carburization data, and deformation at different height positions on the target furnace tube and the high-temperature plasticity assessment model; assessing the remaining lifespan of the target furnace tube based on the plasticity results, and training a prediction model using data on the three factors of carburization, deformation, and oxidation of the furnace tube, so that the trained prediction model can accurately predict the remaining plasticity of the in-service furnace tube, thereby assessing the remaining lifespan of the furnace tube. Attached Figure Description

[0038] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0039] Figure 1 shows a schematic flowchart of the method for evaluating furnace tube life in an embodiment of the present invention;

[0040] Figure 2 shows a schematic diagram of the oxidation degree, carburization data, and deformation data at different height positions on the target furnace tube at a service temperature of 900°C in one embodiment of the present invention.

[0041] Figure 3 shows a schematic diagram of the plasticity results at different height positions on the target furnace tube output by the furnace tube high-temperature plasticity evaluation model in an embodiment of the present invention.

[0042] Figure 4 shows a schematic diagram of carburization data and deformation degree at different height positions on the target furnace tube at a service temperature of 900°C in another embodiment of the present invention;

[0043] Figure 5 shows a schematic diagram of the plasticity results at different height positions on the target furnace tube output by the furnace tube high-temperature plasticity evaluation model in an embodiment of the present invention.

[0044] Figure 6 shows a schematic diagram of the device for evaluating furnace tube life in an embodiment of the present invention;

[0045] Figure 7 shows a schematic diagram of the computer device used to implement the method for evaluating furnace tube life in an embodiment of the present invention. Detailed Implementation

[0046] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0047] Example 1

[0048] An embodiment of the present invention provides a method for evaluating furnace tube life, as shown in FIG1, including:

[0049] S101, Obtain the high-temperature plasticity assessment model of the furnace tube. This high-temperature plasticity assessment model of the furnace tube is trained based on the high-temperature plasticity data of historical furnace tubes. The high-temperature plasticity data is obtained by laboratory mechanical analysis of historical furnace tubes.

[0050] S102, collects surface images, electromagnetic test results, and grating scan results of the target furnace tube collected by the crawling robot;

[0051] S103, based on surface images, electromagnetic test results and grating scan results, determines the degree of oxidation, carburization data and deformation at different height positions on the target furnace tube;

[0052] S104, based on any two or more of the oxidation degree, carburization data and deformation degree at different height positions on the target furnace tube and the furnace tube high-temperature plasticity assessment model, determine the plasticity results at different height positions on the target furnace tube.

[0053] S105, based on plasticity results, assesses the remaining life of the target furnace tube.

[0054] In a specific implementation, firstly, a large amount of data needs to be collected. This data refers to the high-temperature plasticity data of historical furnace tubes. The high-temperature plasticity data is obtained through laboratory mechanical analysis of historical furnace tubes. Specifically, this high-temperature plasticity data includes: the materials involved in the furnace tubes, service life, service temperature, internal medium of the furnace tubes, carburizing data range, shrinkage and bulging data range, degree of oxidation, and relevant data from corresponding high-temperature short-time tests, as detailed below:

[0055] 1. It involves traditional mainstream 25 / 35 alloy materials, 35 / 45 alloy materials, and new alloy materials with added Al;

[0056] 2. Service life: 0–15 years;

[0057] 3. Service temperature: 900℃~1150℃;

[0058] 4. Furnace tube internal media: mainstream reaction media such as ethane and naphtha;

[0059] 5. Carburization data range: 0–100%;

[0060] 6. Contraction and bulging range: -10% to 10%;

[0061] 7. Degree of oxidation: from new furnace tubes to bare tubes. Bare tubes refer to furnace tubes after all the bayberry particles on the surface have fallen off.

[0062] 8. High temperature short time test: Sampling is carried out at specific test locations of the furnace tube. Mechanical tensile samples are taken from the uncarburized layer. If the sample size is too small, non-standard samples are taken according to relevant standards.

[0063] 9. Temperature for high-temperature short-time test: 800℃~1150℃.

[0064] Specifically, the plasticity of each furnace tube is determined through short-time high-temperature experiments. Under conditions of consistent surrounding environment and materials, carburization data, oxidation degree (scale peeling), and deformation degree are used as input data, and the plasticity results are used as output data to train a prediction model. This prediction model employs a random forest regression model, thus obtaining a high-temperature plasticity assessment model for the furnace tube. Therefore, step S101 is executed to obtain the high-temperature plasticity assessment model for the furnace tube. This model is trained based on historical furnace tube high-temperature plasticity data, obtained through laboratory mechanical analysis of these historical furnace tubes. The historical furnace tubes are those with 0–15 years of service, service temperatures of 900℃–1150℃, and materials of 25 / 35 alloy, 35 / 45 alloy, or new Al alloy materials.

[0065] Next, in step S102, a crawling robot is used to collect surface images of the target furnace tube, electromagnetic test results, and grating scan results.

[0066] Because the furnace tubes are quite long, data collection via a crawling robot is more efficient than manual data collection.

[0067] Specifically, it involves acquiring surface images of the target furnace tube, electromagnetic test results, and grating scan results. Surface images can be obtained through camera photography; electromagnetic test results can be obtained through electromagnetic testing instruments; and grating scan results can be obtained through a grating scanner.

[0068] Next, S103 is executed to determine the degree of oxidation, carburization data, and deformation at different heights on the target furnace tube based on surface images, electromagnetic test results, and grating scan results.

[0069] Specifically, based on surface images, the relative roughness at different heights on the target furnace tube is determined; based on the relative roughness, the degree of oxidation at different heights on the target furnace tube is determined.

[0070] The relative roughness here specifically includes the relative roughness of new furnace tubes and the relative roughness of current furnace tubes after a period of service.

[0071] The calculation methods for the relative roughness of new furnace tubes and the relative roughness of current furnace tubes after a period of service are as follows:

[0072] Taking the surface image of the current furnace tube after a period of service as an example, Gaussian noise processing is applied to the surface image to obtain the updated distribution state of the pixel intensity distribution of the surface image. It is then determined whether the KL divergence between the updated distribution state and the standard Gaussian distribution meets the threshold. Specifically, the KL divergence between the updated distribution state and the standard Gaussian distribution is calculated according to the following formula:

[0073] KL divergence(P||Q)=∫p(x)*log(p(x) / q(x))dx

[0074] Where P = p(x) is the updated distribution state, and Q = q(x) is the standard Gaussian distribution; and

[0075] Where σ is the variance of the standard Gaussian distribution, and μ is the mean of the standard Gaussian distribution.

[0076] If the KL divergence between the updated distribution state and the standard Gaussian distribution does not meet the threshold, Gaussian noise processing is continued on the surface image until the pixel intensity distribution of the surface image meets the first target distribution state. The number of Gaussian noise processing iterations (N) is obtained, and based on this number, the relative roughness of the current furnace tube outer surface is determined. Specifically:

[0077] The more Gaussian noise processing times, the smoother the outer surface of the current furnace tube is determined; the fewer Gaussian noise processing times, the rougher the outer surface of the current furnace tube is determined.

[0078] Finally, the smoother the outer surface of the furnace tube, the greater the degree of oxidation on the outer surface of the furnace tube; the rougher the outer surface of the furnace tube, the smaller the degree of oxidation on the outer surface of the furnace tube.

[0079] Next, the degree of deformation of the target furnace tube will be determined:

[0080] Based on the grating scanning results, the bulging rate at different height positions on the target furnace tube is determined; based on the bulging rate, the degree of deformation at different height positions on the target furnace tube is determined.

[0081] First, scan the outer diameter of the new furnace tube to obtain the outer diameter dimension D0. Then, scan the outer diameter of the current furnace tube to obtain the outer diameter dimension D. i The formula for calculating the bulging rate is: D i / D0-1.

[0082] Next, the carburizing data of the target furnace tube is assessed:

[0083] Based on the electromagnetic test results, the coil potential values ​​at different heights on the target furnace tube were determined; based on the curve of the coil potential value changing with the thickness of the carburized layer on the furnace tube, the carburized data at different heights on the target furnace tube were determined.

[0084] Since the magnetic properties of the furnace tube material differ at different stages of carburizing, analysis can accurately obtain the magnetic properties of the carburizing material, namely the curve of the coil potential value changing with the thickness of the carburized layer. Based on the coil potential value at different heights on the target furnace tube, the thickness of the carburized layer at different heights can be determined, i.e., the carburizing data.

[0085] After determining the degree of oxidation, carburization data, and deformation at different heights on the target furnace tube, execute S104 to determine the plasticity results at different heights on the target furnace tube based on any two or more of the degree of oxidation, carburization data, and deformation at different heights on the target furnace tube and the furnace tube high-temperature plasticity assessment model.

[0086] This includes: determining the plasticity results at different heights of the target furnace tube based on the oxidation and carburization data, deformation levels, and a high-temperature plasticity assessment model of the furnace tube at different heights; or

[0087] Based on any two of the following data from different heights on the target furnace tube: oxidation degree, carburization data, and deformation data, and using the furnace tube high-temperature plasticity assessment model, the plasticity results at different heights on the target furnace tube are determined.

[0088] When determining the plasticity of the target furnace tube, there are two specific implementation methods. One method involves inputting the oxidation degree, carburization data, and deformation degree into the high-temperature plasticity assessment model of the furnace tube, outputting the plasticity results at different height positions on the target furnace tube, as shown in Figures 2 and 3. Figure 2 shows the oxidation degree, carburization data, and deformation data (three types of data) at different height positions on the target furnace tube at an service temperature of 900℃, and Figure 3 shows the plasticity results at different height positions on the target furnace tube output by the high-temperature plasticity assessment model of these three types of data. The other method involves inputting any two of the oxidation degree, carburization data, and deformation degree into the high-temperature plasticity assessment model of the furnace tube, outputting the plasticity results at different height positions on the target furnace tube, as shown in Figures 4 and 5. Figure 4 shows the carburization data and deformation degree (only two types of data) at different height positions on the target furnace tube at an service temperature of 900℃, and Figure 5 shows the plasticity results at different height positions on the target furnace tube output by the high-temperature plasticity assessment model of these two types of data.

[0089] The plasticity result is usually output as a percentage, such as 7% or 31%, etc.

[0090] The furnace tube material is HP40NbM; the furnace tube dimensions are ID60mm and OD70mm. The input data for the high-temperature plasticity assessment model of this furnace tube includes: oxidation degree: 0.5 points (0-5 points); carburizing data: average carburized layer thickness 10% (0-100%); furnace tube outer diameter bulging: 0%. The output result of this high-temperature plasticity assessment model is 31%, corresponding to a plasticity result of 30% obtained experimentally at a service temperature of 900℃.

[0091] The furnace tube material is HP40NbM; the furnace tube dimensions are ID50mm and OD60mm. The input data for the high-temperature plasticity assessment model of this furnace tube includes: oxidation degree: 4.5 points (0-5 points); carburizing data: average carburized layer thickness 90% (0-100%); furnace tube outer diameter bulge: 3%. The output result of this high-temperature plasticity assessment model is 7%, corresponding to an experimental plasticity result of 8% at a service temperature of 900℃.

[0092] Finally, S105 is performed to assess the remaining life of the target furnace tube based on the plasticity results.

[0093] The lower the plasticity result, the shorter the remaining life; the higher the plasticity result, the longer the remaining life.

[0094] For the entire furnace tube, it is necessary to assess the remaining life over its overall height. This assessment can be based on the lowest plasticity point of the entire furnace tube, the average value of the entire furnace tube, or the average value of the pre-set furnace tube sections. No specific limitation is imposed here.

[0095] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0096] This invention provides a method for assessing the lifespan of furnace tubes, comprising: acquiring a high-temperature plasticity assessment model for the furnace tube, wherein the high-temperature plasticity assessment model is trained based on high-temperature plasticity data of historical furnace tubes, and the high-temperature plasticity data is obtained through laboratory mechanical analysis of historical furnace tubes; collecting surface images, electromagnetic test results, and grating scan results of the target furnace tube by a crawling robot; determining the degree of oxidation, carburization data, and deformation at different height positions on the target furnace tube based on the surface images, electromagnetic test results, and grating scan results; determining the plasticity results at different height positions on the target furnace tube based on any two or more of the degree of oxidation, carburization data, and deformation at different height positions on the target furnace tube and the high-temperature plasticity assessment model; assessing the remaining lifespan of the target furnace tube based on the plasticity results, and training a prediction model using data on the three causes of failure mechanisms of hidden furnace tubes: carburization, deformation, and oxidation, so that the trained prediction model can accurately predict the remaining plasticity of the in-service furnace tube, thereby assessing the remaining lifespan of the furnace tube.

[0097] Example 2

[0098] Based on the same inventive concept, embodiments of the present invention also provide an apparatus for evaluating furnace tube life, as shown in FIG6, comprising:

[0099] The acquisition module 601 is used to acquire the high-temperature plasticity evaluation model of the furnace tube. The high-temperature plasticity evaluation model of the furnace tube is trained based on the high-temperature plasticity data of historical furnace tubes. The high-temperature plasticity data is obtained by laboratory mechanical analysis of the historical furnace tubes.

[0100] The acquisition module 602 is used to acquire surface images, electromagnetic test results, and grating scan results of the target furnace tube using a crawling robot;

[0101] The first determining module 603 is used to determine the degree of oxidation, carburization data and deformation at different height positions on the target furnace tube based on the surface image, electromagnetic test results and grating scan results.

[0102] The second determining module 604 is used to determine the plasticity results at different height positions on the target furnace tube based on any two or more of the oxidation degree, carburization data and deformation degree at different height positions on the target furnace tube and the high-temperature plasticity evaluation model of the furnace tube.

[0103] Evaluation module 605 is used to evaluate the remaining life of the target furnace tube based on the plasticity results.

[0104] In one optional implementation, the first determining module 603 includes:

[0105] The first determining unit is used to determine the degree of oxidation at different height positions on the target furnace tube based on the surface image;

[0106] The second determining unit is used to determine the degree of deformation at different height positions on the target furnace tube based on the grating scanning results;

[0107] The third determining unit is used to determine the carburizing data at different height positions on the target furnace tube based on the electromagnetic test results.

[0108] In one alternative implementation, the first determining unit is configured to:

[0109] Based on the surface image, the relative roughness at different height positions on the target furnace tube is determined;

[0110] Based on the relative roughness, the degree of oxidation at different heights on the target furnace tube is determined.

[0111] In one alternative implementation, the second determining unit is configured to:

[0112] Based on the grating scan results, the bulging rate at different height positions on the target furnace tube is determined;

[0113] Based on the bulging rate, the degree of deformation at different height positions on the target furnace tube is determined.

[0114] In one alternative implementation, the third determining unit is configured to:

[0115] Based on the electromagnetic test results, the coil potential values ​​at different height positions on the target furnace tube are determined;

[0116] Based on the curve of the coil potential value changing with the thickness of the carburized layer on the furnace tube, the carburized data at different height positions on the target furnace tube are determined.

[0117] In one optional embodiment, the historical furnace tube is a furnace tube that has been in service for 0 to 15 years, with an service temperature of 900°C to 1150°C, and is made of 25 / 35 alloy material, 35 / 45 alloy material, or a new alloy material with added Al.

[0118] In one alternative implementation, the second determining module 604 is configured to:

[0119] Based on the oxidation degree, carburization data, and deformation degree at different height positions on the target furnace tube, and the high-temperature plasticity assessment model of the furnace tube, the plasticity results at different height positions on the target furnace tube are determined; or

[0120] Based on any two of the oxidation degree, carburization data, and deformation data at different heights on the target furnace tube, and the high-temperature plasticity evaluation model of the furnace tube, the plasticity results at different heights on the target furnace tube are determined.

[0121] Example 3

[0122] Based on the same inventive concept, this embodiment of the invention provides a computer device, as shown in FIG7, including a memory 704, a processor 702, and a computer program stored in the memory 704 and executable on the processor 702. When the processor 702 executes the program, it implements the steps of the above-described method for evaluating furnace tube life.

[0123] In Figure 7, the bus architecture (represented by bus 700) includes any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 702 and memory represented by memory 704. Bus 700 can also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 706 provides an interface between bus 700 and receiver 701 and transmitter 703. Receiver 701 and transmitter 703 can be the same element, a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 702 is responsible for managing bus 700 and general processing, while memory 704 can be used to store data used by processor 702 during operation.

[0124] Example 4

[0125] Based on the same inventive concept, embodiments of the present invention provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for evaluating furnace tube life described above.

[0126] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0127] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0128] Similarly, it should be understood that, in order to streamline this disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this method of disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are explicitly recited in each embodiment. Rather, as reflected in each embodiment, inventive aspects lie in fewer than all features of the single embodiment disclosed above. Therefore, the claims, following the detailed description, are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.

[0129] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0130] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the specific implementation, any of the claimed embodiments can be used in any combination.

[0131] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components in the apparatus or computer device for evaluating furnace tube life according to embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0132] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names.

Claims

1. A method for evaluating the lifespan of furnace tubes, characterized in that, include: A high-temperature plasticity assessment model for furnace tubes is obtained. The high-temperature plasticity assessment model for furnace tubes is trained based on historical high-temperature plasticity data of furnace tubes. The high-temperature plasticity data is obtained by laboratory mechanical analysis of the historical furnace tubes. A crawling robot was used to collect surface images, electromagnetic test results, and grating scan results of the target furnace tube. Based on the surface image, electromagnetic test results, and grating scan results, the degree of oxidation, carburization data, and deformation at different heights on the target furnace tube are determined. Based on any two or more of the oxidation degree, carburization data, and deformation degree at different height positions on the target furnace tube, and the high-temperature plasticity assessment model of the furnace tube, the plasticity results at different height positions on the target furnace tube are determined. The plasticity results are for service temperatures ranging from 900℃ to 1150℃, including: Based on the oxidation degree, carburization data, and deformation degree at different height positions on the target furnace tube, and the high-temperature plasticity assessment model of the furnace tube, the plasticity results at different height positions on the target furnace tube are determined; or Based on any two of the oxidation degree, carburization data, and deformation data at different height positions on the target furnace tube, and the high-temperature plasticity evaluation model of the furnace tube, the plasticity results at different height positions on the target furnace tube are determined. Based on the plasticity results, the remaining life of the target furnace tube is evaluated, including: The lower the plasticity result, the shorter the remaining life; The higher the plasticity result, the longer the remaining life.

2. The method as described in claim 1, characterized in that, The determination of the degree of oxidation, carburization data, and deformation at different heights on the target furnace tube based on the surface image, electromagnetic test results, and grating scan results includes: Based on the surface image, the degree of oxidation at different heights on the target furnace tube is determined; Based on the grating scan results, the degree of deformation at different height positions on the target furnace tube is determined; Based on the electromagnetic test results, the carburizing data at different height positions on the target furnace tube were determined.

3. The method as described in claim 1 or 2, characterized in that, Determining the degree of oxidation at different heights on the target furnace tube based on the surface image includes: Based on the surface image, the relative roughness at different height positions on the target furnace tube is determined; Based on the relative roughness, the degree of oxidation at different heights on the target furnace tube is determined.

4. The method as described in any of the preceding claims, characterized in that, Based on the grating scan results, the degree of deformation at different height positions on the target furnace tube is determined, including: Based on the grating scan results, the bulging rate at different height positions on the target furnace tube is determined; Based on the bulging rate, the degree of deformation at different height positions on the target furnace tube is determined.

5. The method as described in any of the preceding claims, characterized in that, Based on the electromagnetic test results, carburization data at different height positions on the target furnace tube were determined, including: Based on the electromagnetic test results, the coil potential values ​​at different height positions on the target furnace tube are determined; Based on the curve of the coil potential value changing with the thickness of the carburized layer on the furnace tube, the carburized data at different height positions on the target furnace tube are determined.

6. The method as described in any of the preceding claims, characterized in that, The historical furnace tubes are those that have been in service for 0 to 15 years, with an service temperature of 900℃ to 1150℃, and are made of 25 / 35 alloy, 35 / 45 alloy, or new alloys with added Al.

7. An apparatus for evaluating the lifespan of furnace tubes, characterized in that, include: The acquisition module is used to acquire the high-temperature plasticity evaluation model of the furnace tube. The high-temperature plasticity evaluation model of the furnace tube is trained based on the high-temperature plasticity data of historical furnace tubes. The high-temperature plasticity data is obtained by laboratory mechanical analysis of the historical furnace tubes. The acquisition module is used to acquire surface images, electromagnetic test results, and grating scan results of the target furnace tube using a crawling robot; The first determining module is used to determine the degree of oxidation, carburization data, and deformation at different height positions on the target furnace tube based on the surface image, electromagnetic test results, and grating scan results. The second determining module is used to determine the plasticity results at different height positions on the target furnace tube based on any two or more of the oxidation degree, carburization data, and deformation degree at different height positions on the target furnace tube and the high-temperature plasticity evaluation model of the furnace tube. The plasticity results are for service temperatures of 900℃~1150℃. The second determining module is used for: Based on the oxidation degree, carburization data, and deformation degree at different height positions on the target furnace tube, and the high-temperature plasticity assessment model of the furnace tube, the plasticity results at different height positions on the target furnace tube are determined; or Based on any two of the oxidation degree, carburization data, and deformation data at different height positions on the target furnace tube, and the high-temperature plasticity evaluation model of the furnace tube, the plasticity results at different height positions on the target furnace tube are determined. An evaluation module is used to evaluate the remaining life of the target furnace tube based on the plasticity results. The evaluation module is used to: The lower the plasticity result, the shorter the remaining life is determined; The higher the plasticity result, the longer the remaining life is determined.

8. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the method as described in any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1 to 6.

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