Method for determining aging area of heating surface pipe

Abstract

The invention discloses a method for determining an aging area of a heating surface pipe, belongs to the technical field of nondestructive testing, and mainly aims to accurately determine the position of the aging area in the heating surface pipe. According to the main technical scheme, the method for determining the aging area of the heating surface pipe comprises the steps that a correlation model is established, wherein the correlation model is used for representing the relation between aging characteristics and guided wave signal power spectrum density information; dividing a heating surface pipe into a plurality of pipe sections to be detected, and acquiring the guided wave signal power spectral density information of each pipe section to be detected; and inputting the guided wave signal power spectral density information of each to-be-detected pipe section into the correlation model so as to judge the aging condition of each to-be-detected pipe section, and further comparing and selecting the to-be-detected pipe section which is most severely aged so as to determine the position of a target aging area in the heating surface pipe.

Description

Technical Field

[0001] The present application belongs to the field of non-destructive testing technology, and specifically relates to a method for determining an aging area of ​​a heated surface tube. Background Art

[0002] In modern industrial production, such as thermal power generation and petrochemicals, heating surface tubes are critical components used extensively in various heat exchange equipment. Due to long-term service in high-temperature, high-pressure, and complex media environments, they inevitably experience aging. Aging not only affects the equipment's heat exchange efficiency and reduces energy efficiency, but in severe cases can also lead to safety incidents such as leaks and bursts, resulting in significant economic losses and even life-threatening consequences.

[0003] According to the barrel effect theory, the overall safety performance of heating surface pipes is determined not by their average aging level but by the localized areas where aging is most severe. Only by accurately locating this weakest link can the overall safety of heating surface pipes be effectively assessed and improved. However, current technical limitations make it difficult to precisely determine the specific location of aging areas within the heating surface pipes, significantly limiting accurate assessment and targeted maintenance of the pipes' safety status. Summary of the Invention

[0004] In view of this, the present application provides a method for determining the aging area of ​​a heated surface tube, the main purpose of which is to accurately determine the position of the aging area in the heated surface tube.

[0005] To achieve the above objectives, this application mainly provides the following technical solutions:

[0006] The present application provides a method for determining an aging area of ​​a heated surface tube, comprising:

[0007] Establishing a correlation model, wherein the correlation model is used to characterize the relationship between the aging characteristics and the power spectrum density information of the guided wave signal;

[0008] Dividing the heated surface pipe into a plurality of pipe sections to be measured, and obtaining the power spectrum density information of the guided wave signal of each pipe section to be measured;

[0009] The power spectrum density information of the waveguide signal of each pipe section to be tested is input into the correlation model to judge the aging condition of each pipe section to be tested, and then the pipe section to be tested with the most serious aging is selected to determine the position of the target aging area in the heated surface pipe.

[0010] Optionally, establishing the association model includes:

[0011] The guided wave signal power spectrum density information corresponding to the heated surface tube samples with different aging degrees and the aging characteristics corresponding to the heated surface tube samples with different aging degrees are collected.

[0012] Optionally, obtaining the power spectrum density information of the waveguide signal of each pipe section to be tested includes:

[0013] A waveguide signal transmitting end sensor and a waveguide signal receiving end sensor are respectively installed at the starting end and the end of the pipe section to be measured;

[0014] Exciting the waveguide signal transmitting end sensor, and receiving the waveguide signal after propagating through the pipe section to be measured through the waveguide signal receiving end sensor;

[0015] The waveguide propagation signal received by the waveguide signal receiving end sensor is analyzed to obtain the waveguide signal power spectrum density information of the pipe section to be measured.

[0016] Optionally, the step of installing a waveguide signal transmitting end sensor and a waveguide signal receiving end sensor at the starting end and the end end of the pipe section to be measured respectively comprises:

[0017] Coupling agent is applied to the contact surfaces of the waveguide signal transmitting end sensor, the waveguide signal receiving end sensor and the pipeline to be measured.

[0018] Optionally, the stimulating the waveguide signal transmitting end sensor and receiving the waveguide signal after propagating through the pipe section to be measured by the waveguide signal receiving end sensor includes:

[0019] Using a sinusoidal signal modulated by a Hanning window and stimulating the waveguide signal transmitting end sensor in the form of a pulse train;

[0020] The receiving time of the waveguide signal receiving end sensor is set to a value greater than the time required for one complete cycle of the sinusoidal signal pulse train.

[0021] Optionally, inputting the waveguide signal power spectrum density information of each pipe section to be tested into the correlation model to evaluate the aging condition of each pipe section to be tested, and then selecting the pipe section to be tested with the most severe aging to determine the position of the target aging area in the heated surface pipe includes:

[0022] Identifying and extracting characteristic parameter information from the waveguide signal power spectrum density information of each pipe section to be tested;

[0023] The characteristic parameter information of different pipe sections to be tested is compared, and the pipe section to be tested corresponding to the extreme value in the plurality of characteristic parameter information is determined as the target aging area.

[0024] Optionally, the characteristic parameter information includes at least: the center frequency of the highest wave, the wave height and the wave width of the -6dB wave.

[0025] Optionally, when determining the target aging area based on the characteristic parameter information, the center frequency of the highest wave is used as a primary criterion, the width of the -6dB wave is used as a secondary criterion, and the height of the highest wave is used as an auxiliary criterion.

[0026] Optionally, after inputting the power spectrum density information of the waveguide signal of each pipe section to be tested into the correlation model to evaluate the aging condition of each pipe section to be tested, and then selecting the pipe section to be tested with the most severe aging, thereby determining the position of the target aging area in the heated surface pipe, the method further includes:

[0027] Based on the position of the target aging area in the heated surface tube, the tube section corresponding to the target aging area is further divided into a plurality of sub-tube sections, and the power spectrum density information of the guided wave signal of each sub-tube section is obtained;

[0028] The power spectrum density information of the waveguide signal of each sub-pipe segment is input into the correlation model, so as to determine the position of the severe aging sub-region in the target aging region.

[0029] Optionally, the length of the sub-pipe segment is less than 1 / n of the length of the pipe segment to be measured, where n is a positive integer greater than 1.

[0030] By means of the above technical solution, this application has at least the following beneficial effects:

[0031] The method for determining the aging area of ​​a heated surface tube provided in an embodiment of the present application divides the heated surface tube into multiple sections to be tested by establishing a correlation model. The power spectrum density information of the guided wave signal of each section to be tested is collected and input into the correlation model. This method can accurately determine the specific location of the target aging area in the heated surface tube, so that the safety assessment of the heated surface tube is no longer based on the average aging level, but on the weakest link. This significantly improves the accuracy and reliability of the safety assessment and helps to promptly discover potential safety hazards. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a flow chart of a method for determining an aging area of ​​a heated surface tube according to an optional embodiment of the present application. DETAILED DESCRIPTION

[0033] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0034] In this embodiment, a method for determining the aging area of ​​a heating surface tube is provided. Figure 1 As shown, the method includes:

[0035] Step S101: establishing a correlation model, where the correlation model is used to characterize the relationship between aging characteristics and waveguide signal power spectrum density information.

[0036] In this embodiment, the correlation model is constructed to establish the intrinsic connection between aging characteristics and the power spectral density information of the guided wave signal. Due to the long-term service of heated surface tubes in high-temperature, high-pressure, and complex media environments, changes in their material microstructure, mechanical properties, and other characteristics contribute to aging characteristics. The power spectral density information of the guided wave signal is obtained through in-depth analysis of the guided wave signal and intuitively reflects the distribution of signal energy at different frequencies.

[0037] To accurately determine the aging status of heated surface tubes, a correlation model must first be established between aging characteristics and guided wave signal power spectral density information. Furthermore, the specific steps for establishing this correlation model include collecting guided wave signal power spectral density information and aging characteristics corresponding to heated surface tube samples with different aging levels. Specifically, collecting samples of heated surface tubes with different aging levels requires collecting a large number of heated surface tube samples from various scenarios and with varying aging levels, as heated surface tubes in actual applications experience varying aging conditions under different operating environments and service life. To fully understand and accurately establish the correlation model, it is necessary to collect a large number of heated surface tube samples from various scenarios and with varying aging levels. These samples can be selected from in-service equipment or obtained through artificially simulated aging experiments. To collect guided wave signal power spectral density information, guided wave detection technology can be used to transmit guided waves to the heated surface tube samples. As guided waves propagate through the tubes, they interact with the tube material properties, resulting in different changes in the guided waves due to different aging levels. The reflected guided wave signals are received and analyzed to obtain the guided wave signal power spectral density information. During this process, guided wave signals are collected from multiple locations and directions for each heated surface tube sample to obtain comprehensive information. Signal processing algorithms are then used to convert the collected time-domain guided wave signals into frequency-domain signals, and the power spectral density is calculated to obtain characteristic data reflecting the distribution of the signal energy at different frequencies. To collect aging characteristics, instruments such as metallographic microscopes and electron microscopes can be used to microscopically observe the heated surface tube samples and analyze changes in their structure, grain size, and phase composition. For example, with increasing aging, the material may exhibit grain growth, weakening of grain boundaries, and an increase in precipitated phases. These microstructural changes can be recorded as aging characteristics. Furthermore, mechanical performance testing methods such as tensile testing, hardness testing, and impact testing can be used to obtain mechanical properties of the heated surface tube samples, such as yield strength, tensile strength, hardness, and impact toughness. Since aging can cause a decline in the mechanical properties of materials, changes in these properties are also important aging characteristics. For example, aged heated surface tube materials may exhibit decreased yield strength, decreased hardness, and decreased impact toughness. It should be noted that by collecting the guided wave signal power spectrum density information and aging characteristics of heated surface tube samples with different aging degrees, rich data support can be provided for establishing a correlation model between the two, thereby achieving the purpose of accurately judging the aging status of the heated surface tubes through the guided wave signal power spectrum density information.

[0038] Step S102: Divide the heated surface pipe into a plurality of pipe sections to be tested, and obtain the power spectrum density information of the guided wave signal of each pipe section to be tested.

[0039] In this embodiment, the heated surface pipe is divided into multiple test sections to more precisely locate the aging area, improving the accuracy and resolution of the test. Because heated surface pipes can be long, the degree of aging may vary from one part to another. By dividing the pipe into sections, the entire heated surface pipe can be tested in detail, down to its individual localized areas.

[0040] Here, the specific steps for obtaining the power spectrum density information of the waveguide signal of each pipe section to be measured are as follows: installing a waveguide signal transmitting end sensor and a waveguide signal receiving end sensor at the starting end and the end end of the pipe section to be measured respectively; stimulating the waveguide signal transmitting end sensor, and receiving the waveguide signal after propagation through the pipe section to be measured through the waveguide signal receiving end sensor; analyzing the waveguide propagation signal received by the waveguide signal receiving end sensor to obtain the power spectrum density information of the waveguide signal of the pipe section to be measured.

[0041] Furthermore, the specific steps of installing the waveguide signal transmitting end sensor and the waveguide signal receiving end sensor at the starting end and the end end of the pipe section to be tested are as follows: applying coupling agent on the contact surface between the waveguide signal transmitting end sensor and the waveguide signal receiving end sensor and the pipe to be tested. It should be noted that the installation of the sensors is to achieve the transmission and reception of the waveguide signal. During installation, a coupling agent should be applied to the contact surface between the waveguide signal transmitting end sensor and the waveguide signal receiving end sensor and the pipe to be tested. This is because the coupling agent can fill the tiny gap between the sensor and the surface of the pipe section to be tested, reducing the obstruction and reflection of the waveguide signal propagation by media such as air, so that the waveguide signal can be more effectively transmitted from the transmitting end sensor to the pipe section to be tested, and smoothly propagated from the pipe section to be tested to the receiving end sensor, thereby improving the transmission efficiency and quality of the signal and ensuring the accuracy of the test results.

[0042] Furthermore, the specific steps of stimulating the waveguide signal transmitter sensor and receiving the waveguide signal after propagation through the pipe section to be tested via the waveguide signal receiver sensor are as follows: using a sinusoidal signal modulated by a Hanning window in the form of a pulse train to stimulate the waveguide signal transmitter sensor; and setting the receiving time of the waveguide signal receiver sensor to a value greater than the time required for one complete cycle of the sinusoidal signal pulse train. It should be noted that using a sinusoidal signal modulated by a Hanning window in the form of a pulse train to stimulate the waveguide signal transmitter sensor. Hanning window modulation can make the sinusoidal signal spectrum more concentrated, reduce spectral leakage, and improve the signal's frequency resolution. At the same time, the pulse train format can enhance the signal energy, allowing the waveguide signal to propagate further in the pipe section to be tested and be more easily detected by the receiving sensor. This excitation method helps improve detection sensitivity and reliability. The receiving time of the waveguide signal receiver sensor is set to a value greater than the time required for one complete cycle of the sinusoidal signal, for example, the receiving time of the waveguide signal receiver sensor is set to a value greater than the time required for at least three and no more than ten complete cycles of the sinusoidal signal. This ensures that the receiving sensor can fully capture the guided wave propagation signal after it has passed through the pipe section under test, including all of the signal's characteristic information. If the reception time is too short, some signal information may be lost, leading to inaccurate subsequent analysis. By setting a sufficiently long reception time, complete acquisition of the guided wave signal is guaranteed, providing the basis for accurate analysis of the guided wave signal's power spectral density.

[0043] Step S103: Input the power spectrum density information of the waveguide signal of each pipe section to be tested into the correlation model to judge the aging condition of each pipe section to be tested, and then select the pipe section to be tested with the most serious aging to determine the position of the target aging area in the heated surface pipe.

[0044] In this embodiment, after the previous steps, the power spectrum density information of the waveguide signal for each pipe section to be tested has been obtained and input into the previously established correlation model. The correlation model can process and analyze the input data according to preset algorithms and rules, converting the waveguide signal power spectrum density information into corresponding aging characteristic information, thereby determining the degree of aging of each pipe section to be tested. By comparing the aging degree of each pipe section to be tested, the area with the most severe aging, namely the target aging area, can be determined, and its specific location in the target heated surface pipe can be clearly determined. This achieves the precise positioning of the aging area of ​​the heated surface pipe, providing an important basis for subsequent maintenance and repair work.

[0045] Here, the guided wave signal power spectral density information for each pipe segment under test is input into the correlation model to determine the location of the target aging area within the heated surface pipe. The specific steps are: identifying and extracting characteristic parameter information from the guided wave signal power spectral density information for each pipe segment under test; comparing the characteristic parameter information for different pipe segments under test, and identifying the pipe segment corresponding to the extreme value among the multiple characteristic parameter information as the target aging area. Specifically, the guided wave signal power spectral density information is a relatively complex data set that reflects the energy distribution of the guided wave signal at different frequencies. To obtain useful information related to heated surface pipe aging from this information, it is necessary to identify and extract the characteristic parameter information. These characteristic parameter information is typically key values ​​or indicators that represent the characteristics of the guided wave signal power spectral density. By extracting this characteristic parameter information, the complex power spectral density information can be simplified and quantified for subsequent analysis and processing. After extracting the characteristic parameter information for each pipe segment under test, these characteristic parameter information needs to be compared. Because the degree of aging may vary across different parts of the heated surface tube, areas with more severe aging will have a more significant impact on the waveguide signal, resulting in differences in the characteristic parameter information of the waveguide signal's power spectral density compared to other areas. Typically, aging areas cause the waveguide signal to exhibit extreme characteristics in certain aspects, such as a clear maximum or minimum in the power spectral density at a specific frequency, or a maximum amplitude variation in certain characteristic parameter information. By comparing the characteristic parameter information of different pipe sections to be tested, finding the extreme value, and determining the pipe section to which this extreme value corresponds, this section can be preliminarily identified as the target aging area. This method, based on the correlation between the aging area and the waveguide signal characteristics, utilizes the extreme values ​​of the characteristic parameter information to locate areas that may be severely aged, providing an important reference for subsequent, more in-depth inspection and maintenance.

[0046] Furthermore, the characteristic parameter information includes at least the center frequency, height, and -6dB width of the highest wave. When determining the target aging area based on this characteristic parameter information, the center frequency of the highest wave serves as the primary criterion, the -6dB width serves as a secondary criterion, and the height of the highest wave serves as an auxiliary criterion. Specifically, within the power spectral density information of the guided wave signal, the highest wave represents a major frequency component where energy is relatively concentrated in the signal, and its center frequency is a key characteristic parameter. Different aging conditions can cause changes in the energy distribution of the guided wave during propagation, resulting in a clear and relatively stable trend in the center frequency of the highest wave. Therefore, using this as the primary basis for determining the target aging area can more accurately locate the aging area. Furthermore, changes in the height of the highest wave are also related to the aging condition of the pipeline. Aging may cause energy attenuation or scattering during guided wave propagation, resulting in changes in wave height. However, wave height is relatively susceptible to interference from external factors, such as detection noise and sensor installation location, so it serves as an auxiliary criterion. The width of the -6dB wave refers to the width of the frequency range corresponding to when the power spectrum density drops to -6dB of the highest wave amplitude on both sides of the center frequency of the highest wave. This parameter can reflect the distribution of the energy of the waveguide signal in frequency. Aging may cause the frequency components of the waveguide signal to be broadened or compressed, resulting in changes in the width of the -6dB wave. It is not as sensitive to aging as the center frequency of the highest wave, but is more stable than the wave height, so it is used as a secondary criterion. It should be noted that, in this embodiment, compared with other areas of the heated surface tube, the area with the most severe aging presents a unique waveguide signal feature: the wave height and center frequency of the highest wave in its waveguide signal are lower than those in other areas, and at the same time, the width of the -6dB wave is wider than that in other areas.

[0047] By applying the technical solution of this embodiment, a correlation model is established to divide the heated surface pipe into multiple pipe sections to be tested. The power spectrum density information of the guided wave signal of each pipe section to be tested is collected and input into the correlation model. This allows the specific location of the target aging area in the heated surface pipe to be accurately determined. As a result, the safety assessment of the heated surface pipe is no longer based on the average aging level, but on the weakest link. This significantly improves the accuracy and reliability of the safety assessment and helps to promptly discover potential safety hazards.

[0048] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to fully illustrate the specific implementation process of this embodiment, another method for determining the aging area of ​​the heated surface tube is provided, which includes:

[0049] Step S201: establishing a correlation model, where the correlation model is used to characterize the relationship between the aging characteristics and the power spectrum density information of the waveguide signal;

[0050] Step S202: Divide the heated surface pipe into multiple pipe sections to be tested, and obtain the power spectrum density information of the guided wave signal of each pipe section to be tested;

[0051] Step S203: Inputting the power spectrum density information of the guided wave signal of each pipe section to be tested into the correlation model to evaluate the aging condition of each pipe section to be tested, and then selecting the pipe section to be tested with the most severe aging, thereby determining the location of the target aging area in the heated surface pipe;

[0052] Step S204: Based on the position of the target aging area in the heated surface tube, the tube section corresponding to the target aging area is further divided into multiple sub-tube sections, and the guided wave signal power spectrum density information of each sub-tube section is obtained;

[0053] Step S205: inputting the power spectrum density information of the waveguide signal of each sub-pipe segment into the correlation model, thereby determining the position of the severely aged sub-region in the target aged region.

[0054] In this embodiment, the location of the target aging area within the heated surface pipe has been determined in step S203. To more accurately locate the specific location within the target aging area where aging is most severe, the pipe segment corresponding to the target aging area needs to be further subdivided into multiple sub-segments. This is done because, while the overall aging level of the target aging area is relatively high, the aging levels of different locations within it may still vary. Further subdivision allows for a more detailed study of the aging conditions within this area. Obtaining the power spectral density information of the guided wave signals of the sub-segments is similar to obtaining the power spectral density information of the guided wave signals of the pipe segment under test. For each sub-segment, a guided wave signal transmitting sensor and a guided wave signal receiving sensor are installed at its starting and ending points, respectively. The transmitting sensor is then activated, and the receiving sensor receives the guided wave propagation signal after propagating through the sub-segment. Finally, these signals are analyzed to obtain the guided wave signal power spectral density information for each sub-segment. This information serves as a basis for further identifying the severely aged sub-regions. Finally, the guided wave signal power spectral density information for each sub-segment is input into the previously established correlation model. Because the correlation model characterizes the relationship between aging characteristics and the power spectral density of the guided wave signal, the model's analysis and processing allows the specific location of severely aged sub-regions within the target aging area to be determined based on the guided wave signal power spectral density of the sub-segment. This enables more accurate identification of aging areas on heated surface pipes, helping personnel to more targetedly maintain or address severely aged areas, thereby improving the safety and reliability of heated surface pipes. It should be noted that the length of the sub-segment is less than 1 / n of the length of the pipe segment to be tested, where n is a positive integer greater than 1. For example, if n = 2, the length of the sub-segment is less than half the length of the pipe segment to be tested; if n = 3, the length of the sub-segment is less than one-third the length of the pipe segment to be tested, and so on. This configuration results in shorter and finer sub-segments, enabling more detailed detection and analysis of the target aging area, and helping to more accurately determine the location of severely aged sub-regions. This smaller pipe segment can more accurately capture subtle changes in the degree of aging.

[0055] It is easy for those skilled in the art to understand that, under the premise of no conflict, the above-mentioned advantageous methods can be freely combined and superimposed.

[0056] The above are merely preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application. The above are merely preferred embodiments of the present application. It should be noted that those skilled in the art may make various improvements and variations without departing from the technical principles of the present application, and such improvements and variations shall also be considered within the scope of protection of the present application.

Claims

1. A method for determining the aging area of ​​a heating surface tube, characterized in that: include: Establishing a correlation model, wherein the correlation model is used to characterize the relationship between the aging characteristics and the power spectrum density information of the guided wave signal; Dividing the heated surface pipe into a plurality of pipe sections to be measured, and obtaining the power spectrum density information of the guided wave signal of each pipe section to be measured; The power spectrum density information of the waveguide signal of each pipe section to be tested is input into the correlation model to judge the aging condition of each pipe section to be tested, and then the pipe section to be tested with the most serious aging is selected to determine the position of the target aging area in the heated surface pipe.

2. The method for determining the aging area of ​​the heating surface tube according to claim 1, characterized in that: The establishment of the association model includes: The guided wave signal power spectrum density information corresponding to the heated surface tube samples with different aging degrees and the aging characteristics corresponding to the heated surface tube samples with different aging degrees are collected.

3. The method for determining the aging area of ​​the heating surface tube according to claim 1, characterized in that: The obtaining of the power spectrum density information of the waveguide signal of each pipe section to be tested includes: A waveguide signal transmitting end sensor and a waveguide signal receiving end sensor are respectively installed at the starting end and the end of the pipe section to be measured; Exciting the waveguide signal transmitting end sensor, and receiving the waveguide signal after propagating through the pipe section to be measured through the waveguide signal receiving end sensor; The waveguide propagation signal received by the waveguide signal receiving end sensor is analyzed to obtain the waveguide signal power spectrum density information of the pipe section to be measured.

4. The method for determining the aging area of ​​the heating surface tube according to claim 3, characterized in that: The waveguide signal transmitting end sensor and the waveguide signal receiving end sensor are respectively installed at the starting end and the end end of the pipe section to be measured, including: Coupling agent is applied to the contact surfaces of the waveguide signal transmitting end sensor, the waveguide signal receiving end sensor and the pipeline to be measured.

5. The method for determining the aging area of ​​the heating surface tube according to claim 3, characterized in that: The step of stimulating the waveguide signal transmitting end sensor and receiving the waveguide signal propagated through the pipe section to be measured by the waveguide signal receiving end sensor comprises: Using a sinusoidal signal modulated by a Hanning window and stimulating the waveguide signal transmitting end sensor in the form of a pulse train; The receiving time of the waveguide signal receiving end sensor is set to a value greater than the time required for one complete cycle of the sinusoidal signal pulse train.

6. The method for determining the aging area of ​​the heated surface tube according to claim 1, characterized in that: Inputting the waveguide signal power spectrum density information of each pipe section to be tested into the correlation model to evaluate the aging condition of each pipe section to be tested, and then selecting the pipe section to be tested with the most severe aging to determine the position of the target aging area in the heated surface pipe includes: Identifying and extracting characteristic parameter information from the power spectrum density information of the waveguide signal of each pipe section to be tested; The characteristic parameter information of different pipe sections to be tested is compared, and the pipe section to be tested corresponding to the extreme value in the plurality of characteristic parameter information is determined as the target aging area.

7. The method for determining the aging area of ​​the heating surface tube according to claim 6, characterized in that: The characteristic parameter information includes at least: the center frequency and wave height of the highest wave and the wave width of the -6dB wave.

8. The method for determining the aging area of ​​the heating surface tube according to claim 7, characterized in that: When determining the target aging area based on the characteristic parameter information, the center frequency of the highest wave is used as the primary criterion, the width of the -6dB wave is used as the secondary criterion, and the height of the highest wave is used as the auxiliary criterion.

9. The method for determining the aging area of ​​the heated surface tube according to claim 1, characterized in that: After inputting the power spectrum density information of the waveguide signal of each pipe section to be tested into the correlation model to evaluate the aging condition of each pipe section to be tested, and then selecting the pipe section to be tested with the most severe aging to determine the position of the target aging area in the heated surface pipe, the method further includes: Based on the position of the target aging area in the heated surface tube, the tube section corresponding to the target aging area is further divided into a plurality of sub-tube sections, and the power spectrum density information of the guided wave signal of each sub-tube section is obtained; The power spectrum density information of the waveguide signal of each sub-pipe segment is input into the correlation model, so as to determine the position of the severe aging sub-region in the target aging region.

10. The method for determining the aging area of ​​the heating surface tube according to claim 9, characterized in that: The length of the sub-pipe segment is less than 1 / n of the length of the pipe segment to be measured, where n is a positive integer greater than 1.

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