Method for monitoring wall thickness of composite material wrapped pipeline

Abstract

The invention relates to the technical field of pipeline detection, and discloses a method for monitoring the wall thickness of a composite-material-wrapped pipeline, and the method comprises the steps: firstly, detecting a pipeline which is not wrapped with a composite material layer through ultrasonic waves; then, the thickness of the composite material layer is gradually increased, measurement and analysis parameters are recorded, and an initial data set is formed; calculating a comprehensive parameter value based on the parameters, and drawing a relational graph of the thickness and the comprehensive parameter; drawing a relation curve of the wall thickness and the amplitude according to the relation graph; and finally, determining the actual wall thickness of the pipeline by comparing the real-time amplitude data of the to-be-measured pipeline with the curve. The change of the wall thickness of the pipeline can be monitored in real time, and the inconvenience that the pipeline needs to be disassembled or services need to be interrupted in a traditional detection method is avoided by using the wireless nondestructive detection system; in addition, the method can adapt to composite material wrapped pipelines with different thicknesses, and has good universality and adaptability.

Description

Technical Field

[0001] This application relates to the technical field of pipeline detection, and more particularly, to a method for monitoring the wall thickness of a composite-wrapped pipeline. Background Art

[0002] In modern industry, pipelines are important facilities for transporting fluids, and their safe operation is crucial. Problems such as corrosion and wear of pipelines can seriously affect their service life and safety. Traditional pipeline detection methods include ultrasonic testing, magnetic particle testing, eddy current testing, etc. These methods often require direct contact with the pipeline surface, and the detection process is complex and time-consuming, especially inconvenient for buried or hard-to-reach pipelines.

[0003] With the development of wireless sensing technology, pipeline monitoring systems based on wireless non-destructive testing technology (which can also be called wireless non-destructive systems, wireless monitoring systems, wireless non-destructive testing systems, wireless non-destructive monitoring systems, etc.) have emerged. This technology can achieve real-time and continuous monitoring of pipelines without interrupting the normal operation of the pipelines, greatly improving the detection efficiency and safety. The wireless non-destructive system includes wireless sensors and a central monitoring system. The wireless sensors can be installed at key parts of the pipeline and transmit data to the central monitoring system through a wireless network. These sensors can detect various parameters of the pipeline, such as temperature, pressure, vibration, etc., and can promptly detect abnormal situations, such as leaks, corrosion, blockages, etc.

[0004] In addition, wireless sensing technology also has the advantage of high cost-effectiveness. Compared with traditional detection methods, the wireless monitoring system reduces the dependence on manpower, lowers the maintenance cost, and can reduce production interruptions and environmental damage caused by pipeline failures. Through data analysis and machine learning technology, the wireless monitoring system can also predict potential pipeline failures and achieve preventive maintenance, thereby further improving the reliability and safety of the pipeline system. Therefore, how to monitor the wall thickness of a composite-wrapped pipeline based on a wireless non-destructive system to improve the detection efficiency and accuracy of pipelines has become an urgent problem to be solved. Summary of the Invention

[0005] In view of this, this application proposes a method for monitoring the wall thickness of a composite-wrapped pipeline, aiming to solve the problems existing in the prior art and provide a more efficient, convenient and cost-effective pipeline wall thickness monitoring solution.

[0006] In a first aspect, the present application proposes a method for monitoring the wall thickness of a pipeline wrapped with a composite material, including: using the pipeline without the composite material layer as the starting measurement point, gradually increasing the thickness of the composite material layer while keeping the measurement conditions unchanged, performing ultrasonic detection, obtaining measurement and analysis parameters, and forming an initial data set with the measurement and analysis parameters; generating a comprehensive parameter value based on the measurement and analysis parameters in the initial data set, taking the thickness as the abscissa and the comprehensive parameter value as the ordinate, plotting a thickness-comprehensive parameter relationship graph, and based on the thickness-comprehensive parameter relationship graph, plotting a wall thickness-amplitude relationship curve; obtaining the actual wall thickness of the pipeline to be measured by comparing and analyzing the real-time amplitude data of the pipeline to be measured with the wall thickness-amplitude relationship curve.

[0007] In some embodiments, the measurement and analysis parameters include at least one of the following: pulse reflection intensity ratio, sound velocity change rate, phase delay value, and nonlinear coefficient; the nonlinear coefficient includes a spectral attenuation coefficient.

[0008] In some embodiments, the pulse reflection intensity ratio is calculated by the following calculation formula:

[0009]

[0010] wherein, R represents the pulse reflection intensity ratio; I reflected represents the intensity of the reflected wave; I incident represents the intensity of the incident wave.

[0011] In some embodiments, the sound velocity change rate is calculated by the following calculation formula:

[0012]

[0013] wherein, ΔV represents the sound velocity change rate; V1 represents the sound velocity of the composite material layer; V2 represents the sound velocity of the pipeline substrate; d represents the thickness of the composite material layer.

[0014] In some embodiments, the phase delay value is calculated by the following calculation formula:

[0015]

[0016] wherein, represents the phase delay value; ω represents the angular frequency of the ultrasonic wave; τ represents the delay time.

[0017] In some embodiments, the spectral attenuation coefficient is calculated by the following calculation formula:

[0018]

[0019] wherein, β represents the spectral attenuation coefficient; A1 represents the amplitude of the incident wave; A2 represents the amplitude of the received wave; d represents the length of the signal propagation path.

[0020] In some embodiments, the comprehensive parameter value is calculated by the following calculation formula:

[0021]

[0022] where S represents the comprehensive parameter value; R represents the pulse reflection intensity ratio; ΔV represents the sound velocity change rate; represents the phase delay value; β represents the spectral attenuation coefficient; w1 represents the weight of the pulse reflection intensity ratio, w2 represents the weight of the sound velocity change rate, w3 represents the weight of the phase delay value, and w4 represents the weight of the spectral attenuation coefficient.

[0023] In some embodiments, S also represents the processed comprehensive parameter value; R also represents the normalized pulse reflection intensity ratio; ΔV also represents the normalized sound velocity change rate; also represents the normalized phase delay value; β also represents the normalized spectral attenuation coefficient; w1 also represents the weight of the normalized pulse reflection intensity ratio, w2 also represents the weight of the normalized sound velocity change rate, w3 also represents the weight of the normalized phase delay value, and w4 also represents the weight of the normalized spectral attenuation coefficient; generating a comprehensive parameter value according to the measurement analysis parameters in the initial dataset includes: performing normalization processing on the measurement analysis parameters in the initial dataset by using normalization to obtain normalized values, and generating a processed comprehensive parameter value according to the normalized values; the normalized values include at least one of the following: the normalized pulse reflection intensity ratio, the normalized sound velocity change rate, the normalized phase delay value, and the normalized spectral attenuation coefficient; the normalization formula is:

[0024]

[0025] where, for any parameter in the normalized values, X’ represents the parameter; X represents the parameter before normalization; μ represents the average value of the parameters included in the normalized values; σ represents the standard deviation of the parameter.

[0026] In some embodiments, based on the thickness-comprehensive parameter relationship diagram, a wall thickness-amplitude relationship curve is plotted, including: calculating the attenuation rate according to the initial amplitude data of the pipeline without the composite material layer wrapped and the real-time amplitude data of the pipeline to be measured; selecting a spectral attenuation coefficient matching the attenuation rate, searching for the pipeline wall thickness corresponding to the comprehensive parameter value corresponding to the spectral attenuation coefficient in the thickness-comprehensive parameter relationship diagram, and plotting a wall thickness-amplitude relationship curve with the pipeline wall thickness as the abscissa and the real-time amplitude data as the ordinate.

[0027] In some embodiments, the attenuation rate is calculated by the following calculation formula:

[0028]

[0029] Among them, A(d) represents the real-time amplitude data; A0 represents the initial amplitude data, α represents the attenuation rate, and d represents the thickness of the composite material layer.

[0030] In a second aspect, a device for monitoring the wall thickness of a composite material-wrapped pipeline is provided, including: a communication unit and a processing unit; the communication unit is configured to use the pipeline without the composite material layer as the starting measurement point, gradually increase the thickness of the composite material layer while keeping the measurement conditions unchanged, perform ultrasonic detection, obtain measurement and analysis parameters, and form an initial data set with the measurement and analysis parameters; the processing unit is configured to generate a comprehensive parameter value according to the measurement and analysis parameters in the initial data set, take the thickness as the abscissa and the comprehensive parameter value as the ordinate to draw a thickness-comprehensive parameter relationship graph, and based on the thickness-comprehensive parameter relationship graph, draw a wall thickness-amplitude relationship curve; the communication unit is further configured to obtain the actual wall thickness of the pipeline to be measured by comparing and analyzing the real-time amplitude data of the pipeline to be measured with the wall thickness-amplitude relationship curve.

[0031] In a third aspect, a device for monitoring the wall thickness of a composite material-wrapped pipeline is provided, including a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory through a bus; when the device for monitoring the wall thickness of a composite material-wrapped pipeline runs, the processor executes the computer execution instructions stored in the memory so that the device for monitoring the wall thickness of a composite material-wrapped pipeline executes the method for monitoring the wall thickness of a composite material-wrapped pipeline in the first aspect.

[0032] The device for monitoring the wall thickness of a composite material-wrapped pipeline can be a network device or a part of a network device, such as a chip system in a network device. The chip system is used to support the network device to implement the functions involved in the first aspect and any of its possible implementation manners. For example, it acquires, determines, and sends the data and / or information involved in the method for monitoring the wall thickness of a composite material-wrapped pipeline described above. The chip system includes chips and can also include other discrete devices or circuit structures.

[0033] In a fourth aspect, a computer-readable storage medium is provided. The computer-readable storage medium includes computer execution instructions. When the computer execution instructions run on a computer, the computer executes the method for monitoring the wall thickness of a composite material-wrapped pipeline in the first aspect.

[0034] In a fifth aspect, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions run on the device for monitoring the wall thickness of a composite material-wrapped pipeline, the device for monitoring the wall thickness of a composite material-wrapped pipeline executes the method for monitoring the wall thickness of a composite material-wrapped pipeline as described in the first aspect above.

[0035] It should be noted that the above computer instructions can be stored in whole or in part on a computer-readable storage medium. Among them, the computer-readable storage medium can be packaged together with the processor of the device for monitoring the wall thickness of the composite material-wrapped pipeline, or can be separately packaged from the processor of the device for monitoring the wall thickness of the composite material-wrapped pipeline. The embodiments of the present application do not limit this.

[0036] For the descriptions of the second aspect, the third aspect, the fourth aspect, and the fifth aspect in the present application, reference can be made to the detailed description of the first aspect.

[0037] In the embodiments of the present application, the name of the above device for monitoring the wall thickness of the composite material-wrapped pipeline does not limit the device or functional module itself. In actual implementation, these devices or functional modules can appear under other names. For example, the receiving unit can also be called a receiving module, a receiver, etc. As long as the functions of each device or functional module are similar to those of the present application and fall within the scope of the claims of the present application and equivalent technologies.

[0038] Compared with the prior art, the beneficial effects of the present application are as follows:

[0039] By adopting an advanced wireless non-destructive monitoring system, the present application significantly improves the detection efficiency. This system enables us to continuously monitor the wall thickness of the pipeline in real time without shutting down the machine, thus greatly shortening the time required for detection and reducing the demand for human resources. The application of this innovative technology makes pipeline detection more efficient and convenient.

[0040] In terms of detection accuracy, the present application also performs excellently. By combining ultrasonic detection technology with wireless sensing technology, the present application can accurately measure the changes in the wall thickness of the pipeline wrapped with composite materials. In this way, we can timely identify possible abnormal conditions in the pipeline, thereby ensuring the safe operation of the pipeline.

[0041] The reduction of maintenance costs is also a major advantage of the present application. The application of the wireless monitoring system reduces the dependence on manual labor, thus effectively reducing the maintenance costs. In addition, this system also helps to reduce production interruptions and environmental damage caused by pipeline failures, further enhancing the economic benefits of enterprises and the level of environmental protection.

[0042] Through the application of data analysis and machine learning technologies, the wireless monitoring system of the present application can predict potential pipeline failures, thereby implementing preventive maintenance. This preventive maintenance strategy can further improve the reliability and safety of the pipeline system and ensure the stable operation of the production process.

[0043] For those pipelines that are difficult to access, such as buried pipelines or pipelines located in positions that are difficult to directly access, the present application also has significant advantages. Thanks to the application of wireless sensing technology, the present application is particularly suitable for these difficult-to-access pipelines, effectively overcoming the limitations of traditional detection methods in these situations.

[0044] In terms of cost-effectiveness, the present application also performs excellently. Compared with traditional detection methods, the wireless monitoring system of the present application has higher cost-effectiveness. Because it reduces the dependence on manual labor, lowers the maintenance cost, and helps to reduce production interruptions and environmental damage caused by pipeline failures.

[0045] The monitoring system of the present application also has the characteristics of being environmentally friendly. It reduces the impact on the environment because it reduces leaks and pollution caused by pipeline failures, and at the same time reduces waste and emissions generated by detection activities.

[0046] In summary, the present application provides an efficient, convenient and cost-effective pipeline wall thickness monitoring solution. This solution can effectively solve the problems existing in the prior art, has significant technical advantages and broad application prospects. Through the application of this innovative technology, we can better ensure the safe operation of pipelines, improve production efficiency, reduce maintenance costs, and protect the environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of illustrating the preferred embodiments and are not considered to be a limitation of the present application. And throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0048] Figure 1 is a schematic structural diagram of a system for monitoring the wall thickness of a composite material-wrapped pipeline provided by an embodiment of the present application;

[0049] Figure 2 is a schematic flowchart of a method for monitoring the wall thickness of a composite material-wrapped pipeline provided by an embodiment of the present application;

[0050] Figure 3 is a schematic flowchart of another method for monitoring the wall thickness of a composite material-wrapped pipeline provided by an embodiment of the present application;

[0051] Figure 4 is a schematic flowchart of another method for monitoring the wall thickness of a composite material-wrapped pipeline provided by an embodiment of the present application;

[0052] Figure 5 is a schematic flowchart of the specific working process of a method for monitoring the wall thickness of a composite material-wrapped pipeline provided by an embodiment of the present application;

[0053] Figure 6 This is a schematic structural diagram of a device for monitoring the wall thickness of a pipeline wrapped with a composite material provided by an embodiment of the present application. Detailed implementation manners

[0054] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. Hereinafter, the present application will be described in detail with reference to the drawings and in conjunction with the embodiments.

[0055] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific manner.

[0056] Composite materials have advantages such as light weight and high strength, so they are widely used in the manufacture of various pipelines. Especially in industries such as petrochemical industry, pipelines wrapped with composite materials are used to transport high-pressure and high-temperature fluids. However, the wrapping of composite materials will significantly increase the wall thickness of the pipeline, affecting the corrosion resistance, transportation performance, etc. of the pipeline. Therefore, a non-destructive method is needed to monitor the wall thickness of the pipeline substrate inside the composite material to ensure the intact state and safe operation of the inner wall of the pipeline. At present, most traditional wall thickness detection methods use destructive detection techniques, such as destructive testing, but this will damage the pipeline and affect its use. In order to ensure the safety and reliability of the pipeline, it is particularly important to develop a non-destructive and real-time pipeline wall thickness monitoring technology.

[0057] In this case, the embodiments of the present application provide a method for monitoring the wall thickness of a pipeline wrapped with a composite material. Based on a wireless non-destructive system, through ultrasonic technology and combined with the comprehensive analysis of specific parameters, accurate measurement of the pipeline wall thickness can be achieved, thereby ensuring the safe operation of the pipeline. Through ultrasonic detection and data analysis in the present application, the following purposes are achieved: one is to provide a method for non-destructively and real-time monitoring the wall thickness of a pipeline wrapped with a composite material; the other is to generate a curve of the relationship between the wall thickness and the comprehensive parameters to achieve accurate quantification of the wall thickness. Thus, real-time monitoring of the pipeline wrapped with a composite material can be realized.

[0058] The above method for monitoring the wall thickness of a pipeline wrapped with a composite material can be applied to a system for monitoring the wall thickness of a pipeline wrapped with a composite material.Figure 1 The structural schematic diagram of a system for monitoring the wall thickness of a composite - wrapped pipeline is shown. As Figure 1 shown, the system for monitoring the wall thickness of a composite - wrapped pipeline includes: a wireless non - destructive system 101 and a pipeline 102. The pipeline 102 can be a pipeline without a composite material layer wrapped thereon and / or a pipeline to be measured in this application.

[0059] Among them, the wireless non - destructive system 101 is used to take the pipeline without a composite material layer wrapped thereon (i.e., the pipeline 102) as the starting measurement point. Under the condition of keeping the measurement conditions unchanged, gradually increase the thickness of the composite material layer, conduct ultrasonic detection, obtain measurement and analysis parameters, form an initial data set with the measurement and analysis parameters, generate a comprehensive parameter value according to the measurement and analysis parameters in the initial data set, take the thickness as the abscissa and the comprehensive parameter value as the ordinate to draw a thickness - comprehensive parameter relationship graph, draw a wall - thickness - amplitude relationship curve based on the thickness - comprehensive parameter relationship graph, and obtain the actual wall thickness of the pipeline to be measured (i.e., the pipeline 102) by comparing and analyzing the real - time amplitude data of the pipeline to be measured with the wall - thickness - amplitude relationship curve.

[0060] In the embodiments of the present application, the wireless non - destructive system 101 can be a pipeline monitoring system based on wireless non - destructive testing technology, and can also be called a wireless non - destructive system, a wireless monitoring system, a wireless non - destructive detection system, a wireless non - destructive monitoring system, etc.

[0061] It should be noted that Figure 1 the structure shown in Figure 1 does not constitute a limitation on the system for monitoring the wall thickness of a composite - wrapped pipeline. Except for

[0062] the components shown, the system for monitoring the wall thickness of a composite - wrapped pipeline may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0062] Next, the method for monitoring the wall thickness of a composite - wrapped pipeline provided by the embodiments of the present application will be introduced in detail with reference to the accompanying drawings.

[0063] The method for monitoring the wall thickness of a composite - wrapped pipeline provided by the embodiments of the present application is applied to Figure 1 the wireless non - destructive system 101 in the system for monitoring the wall thickness of a composite - wrapped pipeline shown in Figure 2 As shown, the method for monitoring the wall thickness of a composite - wrapped pipeline includes:

[0064] S201. Take the pipeline without a composite material layer wrapped thereon as the starting measurement point. Under the condition of keeping the measurement conditions unchanged, gradually increase the thickness of the composite material layer, conduct ultrasonic detection, obtain measurement and analysis parameters, and form an initial data set with the measurement and analysis parameters.

[0065] That is to say, taking the pipe without the wrapped composite material as the starting measurement point, ultrasonic detection is carried out. Under the condition of keeping the measurement conditions unchanged, gradually increase the thickness of the composite material wrapping layer (which can also be called the composite material layer or the composite material wrapping layer, etc.), obtain a number of measurement and analysis parameters, and form an initial data set with the number of measurement and analysis parameters.

[0066] S202. Generate a comprehensive parameter value according to the measurement and analysis parameters in the initial data set.

[0067] S203. Taking the thickness as the abscissa and the comprehensive parameter value as the ordinate, draw a thickness-comprehensive parameter relationship diagram.

[0068] S204. Based on the thickness-comprehensive parameter relationship diagram, draw a wall thickness-amplitude relationship curve.

[0069] That is to say, generate a number of comprehensive parameter values according to a number of measurement and analysis parameters in the initial data set; taking the wrapping layer thickness as the abscissa and the comprehensive parameter value as the ordinate, draw a thickness-comprehensive parameter relationship diagram; based on the thickness-comprehensive parameter relationship diagram, draw a wall thickness-amplitude relationship curve.

[0070] S205. By comparing and analyzing the real-time amplitude data of the pipeline to be measured with the wall thickness-amplitude relationship curve, obtain the actual wall thickness of the pipeline to be measured.

[0071] It can be understood that this embodiment provides a method for monitoring the wall thickness of a composite material wrapped pipeline based on wireless non-destructive testing technology. The core of this method lies in using ultrasonic detection technology to monitor the wall thickness of the pipeline (i.e., the thickness of the composite material layer wrapped on the pipeline) in a non-invasive manner in real time, so as to ensure the safe operation of the pipeline. The specific steps are as follows:

[0072] First, select a section of the pipeline not wrapped with composite material (i.e., the pipeline without the composite material layer in this application) as the reference measurement point (which can also be called the starting measurement point). The wireless non-destructive system can use ultrasonic detection equipment to accurately measure the wall thickness of this point. Under the condition of ensuring that the measurement conditions (such as temperature, pressure, ultrasonic frequency, etc.) remain constant, gradually increase the thickness of the composite material wrapping layer on the pipeline surface. Each time a layer is added, ultrasonic detection is carried out once, and the corresponding measurement and analysis parameters are recorded.

[0073] Summarize these measurement and analysis parameters to form an initial data set. These parameters may include the propagation time of ultrasonic waves, the amplitude of the reflected wave, frequency changes, etc. Subsequently, according to the measurement and analysis parameters in the initial data set, through mathematical modeling or statistical analysis methods, generate a number of comprehensive parameter values. These comprehensive parameter values can more comprehensively reflect the influence of the composite material wrapping layer on the ultrasonic signal (such as ultrasonic amplitude).

[0074] Next, taking the thickness of the composite material's wrapping layer as the abscissa and the calculated comprehensive parameter value as the ordinate, a thickness-comprehensive parameter relationship graph is plotted. By analyzing this relationship graph, the relationship curve between the wall thickness and the ultrasonic amplitude, i.e., the wall thickness-amplitude relationship curve, can be further plotted. This curve reflects the changing trend of the ultrasonic amplitude under different wall thickness conditions and is the key basis for subsequent wall thickness monitoring.

[0075] Finally, for the pipeline to be measured (which can also be called the pipeline under test), the amplitude data of the surface ultrasonic waves is collected in real time. By comparing and analyzing these real-time data with the previously plotted wall thickness-amplitude relationship curve, the actual wall thickness of the pipeline under test can be deduced through the corresponding relationship on the curve. Through this method, continuous monitoring of the pipeline wall thickness can be achieved, abnormal wall thickness can be detected in a timely manner, pipeline failures can be prevented, and the safe operation of the pipeline can be ensured.

[0076] In addition, in order to improve the accuracy and reliability of the monitoring, more monitoring points can be considered to be introduced to obtain more comprehensive data. At the same time, other non-destructive testing techniques, such as electromagnetic testing and infrared testing, can also be combined to further verify and supplement the results of ultrasonic testing. Through the integration of multiple technologies, the health status of the pipeline can be evaluated more comprehensively, providing a more powerful guarantee for the safe operation of the pipeline.

[0077] In some embodiments of the present application, the measurement and analysis parameters include at least one of the following: pulse reflection intensity ratio, sound velocity change rate, phase delay value, and non-linear coefficient; the non-linear coefficient includes the spectral attenuation coefficient.

[0078] It can be understood that in this embodiment, the measurement and analysis parameters involved include the pulse reflection intensity ratio, sound velocity change rate, phase delay value, and non-linear coefficient. Specifically, the pulse reflection intensity ratio refers to the intensity ratio between the reflected wave (i.e., the reflected wave of the ultrasonic wave) and the incident wave (i.e., the incident wave of the ultrasonic wave) during the ultrasonic testing process. This ratio can reflect whether there are defects inside the material and the severity of the defects. By analyzing this parameter, we can have a preliminary understanding of the integrity inside the material.

[0079] The sound velocity change rate refers to the change in the velocity of the ultrasonic wave when it propagates inside the material. This parameter is closely related to the elastic modulus and density of the material. Therefore, by measuring the sound velocity change rate, we can evaluate the mechanical properties of the material. For example, if the sound velocity change rate is large, it may indicate that the elastic modulus of the material is low or the density is high, thus affecting its mechanical properties.

[0080] Phase delay value refers to the delay of the ultrasonic wave relative to the original signal after it passes through the material. This parameter is very sensitive to detecting small changes inside the material. Therefore, by measuring the phase delay value, we can find small defects or unevenness that may exist inside the material. This is crucial to ensure the quality and performance of the material.

[0081] The nonlinear coefficient is a measure of the nonlinear propagation characteristics of a material to ultrasound. This parameter is closely related to the microstructure and defects inside the material and can provide important information about the internal state of the material. For example, if the nonlinear coefficient is high, it may indicate that there are more defects or inhomogeneities inside the material, thus affecting its overall performance.

[0082] By comprehensively analyzing these parameters, including pulse reflection intensity ratio, sound velocity change rate, phase delay value, and nonlinear coefficient, we can more comprehensively evaluate the performance of the material and detect whether there are defects inside it. This method can not only provide detailed information about the mechanical properties of the material, but also help us identify and locate tiny defects inside the material, thereby ensuring the quality and reliability of the material.

[0083] In some embodiments of the present application, the pulse reflection intensity ratio is calculated by the following formula:

[0084]

[0085] Where R represents the pulse reflection intensity ratio; I reflected Indicates the intensity of the reflected wave; I incident Represents the intensity of the incident wave.

[0086] It can be understood that, in this embodiment, the pulse reflection intensity ratio R is obtained by measuring the intensity I of the reflected wave. reflected The intensity of the incident wave I incident This calculation method allows us to quantify the intensity of the reflected wave relative to the incident wave, thereby evaluating the reflection characteristics of the material surface or interface. Specifically, by measuring the intensity of the reflected wave I reflected The intensity of the incident wave I incident By measuring the ratio of the reflected wave intensity to the incident wave intensity, we can get a quantitative reflection intensity ratio R. This value can reflect the reflection characteristics of the material surface or interface, such as the proportional relationship between the intensity of the reflected wave and the intensity of the incident wave. In practical applications, this measurement method can be widely used in various fields, such as detecting material defects, evaluating coating quality, or performing other related analyses. Through this method, we can understand the reflection characteristics of the material more accurately, thereby providing an important reference for the selection and application of the material.

[0087] In some embodiments of the present application, the sound velocity change rate is calculated by the following formula:

[0088]

[0089] Among them, ΔV represents the sound velocity change rate; V1 represents the sound velocity of the composite material layer; V2 represents the sound velocity of the pipeline substrate; d represents the thickness of the composite material layer.

[0090] It can be understood that in this embodiment, by accurately measuring the sound velocities of the composite material layer and the pipeline substrate (i.e., the material used for the pipeline), and further determining the thickness of the composite material layer, we can calculate the sound velocity change rate ΔV. This sound velocity change rate ΔV can be used as a key parameter to evaluate the bonding quality between the composite material layer and the pipeline substrate. Specifically, by using ultrasonic detection technology, we can measure the propagation velocities of sound waves in the composite material layer and the pipeline substrate. The propagation velocities of sound waves in different media are different. Therefore, by comparing the propagation velocities of sound waves in the composite material layer and the pipeline substrate, we can obtain the sound velocity change rate ΔV. The magnitude of the sound velocity change rate ΔV can reflect the bonding strength and uniformity between the composite material layer and the pipeline substrate. If the sound velocity change rate ΔV is large, it indicates that the bonding between the composite material layer and the pipeline substrate is good and the bonding strength is high; on the contrary, if the sound velocity change rate ΔV is small, it indicates that the bonding strength is weak and there may be a poor bonding situation. Therefore, by calculating and analyzing the sound velocity change rate ΔV, we can effectively evaluate the bonding quality between the composite material layer and the pipeline substrate, thereby providing an important reference basis for production and quality control.

[0091] In some embodiments of the present application, the phase delay value is calculated by the following calculation formula:

[0092]

[0093] Among them, represents the phase delay value; ω represents the angular frequency of the ultrasonic wave; τ represents the delay time.

[0094] It can be understood that in this embodiment, the phase delay value is obtained by measuring the product of the delay time τ experienced by the ultrasonic wave when propagating in a specific material and the angular frequency ω of the ultrasonic wave. This calculation method can effectively evaluate the phase change that occurs during the propagation of the ultrasonic wave in the material, thereby further analyzing and understanding the internal properties of the material, such as its elastic modulus, density, and other related physical parameters. In the actual application scenario, the accurate measurement of the phase delay value is particularly important because it plays a crucial role in multiple fields such as non-destructive testing, material property analysis, and structural integrity assessment. Through this method, engineers and technicians can gain an in-depth understanding of the internal state of the material, thereby ensuring the safety and reliability of the material and the structure.

[0095] In some embodiments of the present application, the spectral attenuation coefficient is calculated by the following calculation formula:

[0096]

[0097] Wherein, β represents the spectral attenuation coefficient; A1 represents the amplitude of the incident wave; A2 represents the amplitude of the received wave; d represents the length of the signal propagation path.

[0098] It can be understood that in this embodiment, the calculation of the spectral attenuation coefficient β is based on the accurate measurement of the amplitudes A1 and A2 of the incident wave and the received wave, and combined with the determination of the length d of the signal propagation path. The spectral attenuation coefficient β is a very important parameter, which can be used as a key index to evaluate the attenuation degree of materials to ultrasonic signals. In practical applications, the measurement of the spectral attenuation coefficient is of extremely important significance, because it can help us evaluate the internal structure of materials, detect potential defects and other related analysis work. Through in-depth analysis of the spectral attenuation coefficient, we can accurately evaluate the uniformity, aging degree and possible internal damage of materials. Such evaluation results can provide a scientific basis for the maintenance and replacement of materials, thus ensuring the reliability and safety of materials during use.

[0099] In some embodiments of the present application, the comprehensive parameter value is calculated by the following calculation formula:

[0100]

[0101] Wherein, S represents the comprehensive parameter value; R represents the pulse reflection intensity ratio; ΔV represents the sound velocity change rate; represents the phase delay value; β represents the spectral attenuation coefficient; w1 represents the weight of the pulse reflection intensity ratio, w2 represents the weight of the sound velocity change rate, w3 represents the weight of the phase delay value, and w4 represents the weight of the spectral attenuation coefficient.

[0102] It can be understood that in this embodiment, the calculation method of the comprehensive parameter value S is to perform a multiplication operation on each measurement and analysis parameter (including the pulse reflection intensity ratio, the sound velocity change rate, the phase delay value, and the non-linear coefficient) with the corresponding weight wi (i = 1, 2, 3, 4), and then sum these product results to obtain a comprehensive evaluation index. The weight wi reflects the importance of each parameter in the comprehensive evaluation, and the sum of these weights must be equal to 1. Through this calculation method, multiple measurement parameters can be integrated into a single index, making the process of evaluating material properties or detecting internal defects more intuitive and convenient. This comprehensive evaluation method provides a more comprehensive perspective, which helps technicians or engineers to make more accurate judgments and decisions when facing complex situations. In practical applications, this calculation method of the comprehensive parameter value has important application value in aspects such as material quality control, production process monitoring, and quality assurance of final products, and can significantly improve production efficiency and product quality.

[0103] In some embodiments of the present application, S further represents the processed comprehensive parameter value; R further represents the standardized pulse reflection intensity ratio; ΔV further represents the standardized sound velocity change rate; further represents the standardized phase delay value; β further represents the standardized spectral attenuation coefficient; w1 further represents the weight of the standardized pulse reflection intensity ratio, w2 further represents the weight of the standardized sound velocity change rate, w3 further represents the weight of the standardized phase delay value, and w4 further represents the weight of the standardized spectral attenuation coefficient. Combining Figure 2 , as Figure 3 shown, in the above S202, the method for generating the comprehensive parameter value according to the measurement and analysis parameters in the initial dataset specifically includes:

[0104] S301. Perform a standardization process on the measurement and analysis parameters in the initial dataset using a standardization formula (which can also be called Z-score standardization) to obtain standardized values, and generate the processed comprehensive parameter value according to the standardized values.

[0105] Among them, the standardized values include at least one of the following: the standardized pulse reflection intensity ratio, the standardized sound velocity change rate, the standardized phase delay value, and the standardized spectral attenuation coefficient.

[0106] The standardization formula is:

[0107]

[0108] Among them, for any parameter in the standardized values, X' represents the parameter; X represents the parameter before standardization (which can also be called the original parameter value or the original value); μ represents the average value of the parameters included in the standardized values (which can also be called the average value of the parameters); σ represents the standard deviation of the parameter.

[0109] That is to say, before generating a number of comprehensive parameter values based on a number of measurement and analysis parameters in the initial dataset, Z-score standardization is used to standardize the number of measurement and analysis parameters in the initial dataset. And based on the standardized values, the processed comprehensive parameter values are generated.

[0110] It can be understood that in this embodiment, in order to ensure fair comparison and comprehensive analysis between different measurement and analysis parameters, it is first necessary to perform Z-score standardization on the measurement and analysis parameters in the initial dataset. The purpose of this processing method is to eliminate the dimensionality influence between different parameters and make the data comparable. Z-score standardization is a method widely used in statistics, and its specific operation steps are as follows: First, calculate the difference between the original value X of each parameter and its average value μ, and then divide this difference by the standard deviation σ of the parameter. In this way, the standardized value X' of the parameter obtained will have the characteristics of zero mean and unit standard deviation. In this way, the data between different parameters can be compared and analyzed on the same scale, thus avoiding the influence brought by dimensionality differences.

[0111] The dataset after Z-score standardization processing can be used for further calculation of comprehensive parameter values. This calculation process usually involves weighting or synthesizing multiple standardized parameter values to obtain a comprehensive evaluation result. The advantage of this method is that it can provide a more accurate and reliable evaluation result because all parameters are compared and analyzed on the same scale. In practical applications, this standardization processing is of great significance for improving the accuracy and reliability of data analysis. By eliminating the dimensionality influence, the standardization processing makes the data analysis process more scientific and objective, thus providing more solid data support for decision-making.

[0112] In some embodiments of the present application, in combination with Figure 2 , such as Figure 4 shown, in the above S204, based on the thickness-comprehensive parameter relationship diagram, a wall thickness-amplitude relationship curve is drawn, specifically including:

[0113] S401. Calculate the attenuation rate according to the initial amplitude data (which can also be called the initial amplitude) of the pipeline without the wrapped composite material layer and the real-time amplitude data (which can also be called the actual amplitude) of the pipeline to be measured.

[0114] S402. Select the spectral attenuation coefficient that matches the attenuation rate, find the pipeline wall thickness corresponding to the comprehensive parameter value corresponding to the spectral attenuation coefficient in the thickness-comprehensive parameter relationship diagram, and draw a wall thickness-amplitude relationship curve with the pipeline wall thickness as the abscissa and the real-time amplitude data as the ordinate.

[0115] That is to say, select a spectral attenuation coefficient that matches the attenuation rate, and determine the corresponding comprehensive parameter value accordingly. Then, look up the pipe wall thickness corresponding to this comprehensive parameter value in the thickness-comprehensive parameter relationship diagram, which is the pipe wall thickness of the pipe to be measured.

[0116] It can be understood that in this embodiment, by comparing the initial amplitude of the pipe without the composite material layer wrapped and the actual amplitude of the pipe to be measured, we can calculate the attenuation rate. This calculation step is the key to evaluating the energy loss when the ultrasonic signal propagates in the material. The calculation of the attenuation rate is crucial for understanding the attenuation of the ultrasonic signal when propagating inside the material, because it can help us infer some physical properties of the material, such as density and uniformity, etc. By selecting a spectral attenuation coefficient that matches the calculated attenuation rate, we can further determine the corresponding comprehensive parameter value. This comprehensive parameter value combines multiple measurement and analysis parameters and considers their respective weights, thus providing a more comprehensive evaluation result.

[0117] Looking up the pipe wall thickness corresponding to this comprehensive parameter value in the thickness-comprehensive parameter relationship diagram is a process of establishing a connection between the comprehensive parameter value and the pipe wall thickness. In this way, we can convert the comprehensive parameter value obtained from ultrasonic testing into a specific physical measurement, that is, the pipe wall thickness. This process is particularly important in the field of non-destructive testing, because it allows technicians to accurately evaluate the thickness of the material without damaging the material. This is crucial for ensuring the safety and integrity of the structure, because the pipe wall thickness directly affects its load-bearing capacity and durability.

[0118] Through this method, we can effectively monitor and evaluate the health status of structural components such as pipes, and detect potential defects or damages in a timely manner. This is of great significance for taking corresponding maintenance measures to avoid possible accidents or failures. For example, in key industries such as petroleum and chemical industries, the safe operation of pipes is directly related to the stability and safety of the entire production system. Through non-destructive testing technology, we can detect wear, corrosion or other forms of damage to the pipes in advance, and thus repair or replace them in a timely manner to ensure the safe operation of the entire production system. Therefore, this method based on the calculation of the ultrasonic signal attenuation rate and the conversion of the comprehensive parameter value has broad application prospects and important practical significance in the field of non-destructive testing.

[0119] In some embodiments of the present application, the attenuation rate is calculated by the following calculation formula:

[0120]

[0121] Wherein, A(d) represents the real-time amplitude data; A0 represents the initial amplitude data, α represents the attenuation rate, and d represents the thickness of the composite material layer.

[0122] It is understandable that in this embodiment, the relationship between the actual amplitude A(d) and the initial amplitude A0 of the pipeline without the composite material layer wrapped is quantified through a mathematical formula, thereby obtaining the amplitude attenuation rate α. The ln function is a logarithmic function with the constant e (approximately 2.71828) as the base. This calculation formula cleverly uses the base e of the natural logarithm to represent the continuity of attenuation, thus accurately reflecting the exponential attenuation characteristics exhibited by the ultrasonic signal during propagation in the material. Through this precise calculation method, we can accurately calculate the energy loss during the propagation of the ultrasonic signal in the material, and further conduct in-depth evaluation and analysis of the physical properties of the material.

[0123] The calculated attenuation rate α plays a crucial role in the subsequent detection process. It is not only a key parameter for determining the comprehensive parameter value and the pipeline wall thickness, but also provides important data support for non-destructive testing. By accurately calculating the attenuation rate α, we can more effectively evaluate the physical properties of the material, thereby improving the accuracy and reliability of the detection. This method not only improves the detection efficiency, but also ensures the precision of the detection results, providing strong technical support for material detection and evaluation.

[0124] In some embodiments, as Figure 5 shown, the specific working process of a method for monitoring the wall thickness of a composite material wrapped pipeline provided by this application is as follows:

[0125] S1. Install ultrasonic detection equipment, conduct ultrasonic detection on the pipeline without the composite material layer wrapped, and record the initial wall thickness data.

[0126] S2. Gradually increase the thickness of the composite material wrapping layer, and repeat the above detection after each increase of one layer to obtain multiple sets of wall thickness data and their ultrasonic parameters (i.e., the measurement and analysis parameters in this application).

[0127] S3. Use data analysis software to process and integrate the obtained data (i.e., multiple sets of wall thickness data and their ultrasonic parameters) to obtain the comprehensive parameter value.

[0128] S4. Based on the comprehensive parameter value, draw a thickness-comprehensive parameter relationship graph and a wall thickness-amplitude relationship curve.

[0129] S5. Through the real-time amplitude data obtained by conducting real-time ultrasonic detection on the pipeline to be measured, and combining with the wall thickness-amplitude relationship curve for comparison and analysis, obtain the actual wall thickness of the pipeline to be measured.

[0130] Through the above steps, this application can perform non-contact detection without causing any physical damage to the measured composite material wrapped pipeline. It can continuously and real-time detect the change of the pipeline wall thickness, reducing potential safety hazards. It can also accurately determine the pipeline wall thickness through the precise calculation of comprehensive parameters.

[0131] The above mainly introduces the solution provided by the embodiments of the present application from the perspective of methods. To implement the above functions, it includes the corresponding hardware structures and / or software modules for executing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the way of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0132] The embodiments of the present application can divide the functional modules of the device for monitoring the wall thickness of a composite material-wrapped pipeline according to the above method examples. For example, each functional module can be divided corresponding to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. Optionally, the division of modules in the embodiments of the present application is illustrative, only a logical function division, and there can be other division methods in actual implementation.

[0133] As Figure 6 shown, it is a schematic structural diagram of a device for monitoring the wall thickness of a composite material-wrapped pipeline provided by the embodiments of the present application. Figure 6 The device for monitoring the wall thickness of a composite material-wrapped pipeline shown includes: a communication unit 601 and a processing unit 602;

[0134] The communication unit 601 is used to take the pipeline without the composite material layer as the starting measurement point, gradually increase the thickness of the composite material layer while keeping the measurement conditions unchanged, perform ultrasonic detection, obtain measurement and analysis parameters, and form an initial data set with the measurement and analysis parameters.

[0135] The processing unit 602 is used to generate a comprehensive parameter value according to the measurement and analysis parameters in the initial data set, draw a thickness-comprehensive parameter relationship diagram with the thickness as the abscissa and the comprehensive parameter value as the ordinate, and draw a wall thickness-amplitude relationship curve based on the thickness-comprehensive parameter relationship diagram.

[0136] The communication unit 601 is further used to obtain the actual wall thickness of the pipeline to be measured by comparing and analyzing the real-time amplitude data of the pipeline to be measured with the wall thickness-amplitude relationship curve.

[0137] In some embodiments, the measurement and analysis parameters include at least one of the following: pulse reflection intensity ratio, sound velocity change rate, phase delay value, and nonlinear coefficient; the nonlinear coefficient includes a spectral attenuation coefficient.

[0138] In some embodiments, the pulse reflection intensity ratio is calculated by the following calculation formula:

[0139]

[0140] wherein, R represents the pulse reflection intensity ratio; I reflected represents the intensity of the reflected wave; I incident represents the intensity of the incident wave.

[0141] In some embodiments, the sound velocity change rate is calculated by the following calculation formula:

[0142]

[0143] wherein, ΔV represents the sound velocity change rate; V1 represents the sound velocity of the composite material layer; V2 represents the sound velocity of the pipeline substrate; d represents the thickness of the composite material layer.

[0144] In some embodiments, the phase delay value is calculated by the following calculation formula:

[0145]

[0146] wherein, represents the phase delay value; ω represents the angular frequency of the ultrasonic wave; τ represents the delay time.

[0147] In some embodiments, the spectral attenuation coefficient is calculated by the following calculation formula:

[0148]

[0149] wherein, β represents the spectral attenuation coefficient; A1 represents the amplitude of the incident wave; A2 represents the amplitude of the received wave; d represents the length of the signal propagation path.

[0150] In some embodiments, the comprehensive parameter value is calculated by the following calculation formula:

[0151]

[0152] wherein, S represents the comprehensive parameter value; R represents the pulse reflection intensity ratio; ΔV represents the sound velocity change rate; represents the phase delay value; β represents the spectral attenuation coefficient; w1 represents the weight of the pulse reflection intensity ratio, w2 represents the weight of the sound velocity change rate, w3 represents the weight of the phase delay value, w4 represents the weight of the spectral attenuation coefficient.

[0153] In some embodiments, S also represents the processed comprehensive parameter value; R also represents the standardized pulse reflection intensity ratio; ΔV also represents the standardized sound velocity change rate; also represents the standardized phase delay value; β also represents the standardized spectral attenuation coefficient; w1 also represents the weight of the standardized pulse reflection intensity ratio, w2 also represents the weight of the standardized sound velocity change rate, w3 also represents the weight of the standardized phase delay value, and w4 also represents the weight of the standardized spectral attenuation coefficient. The processing unit 602 is specifically configured to:

[0154] Perform standardization processing on the measurement analysis parameters in the initial data set using standardization to obtain standardized values, and generate processed comprehensive parameter values according to the standardized values; the standardized values include at least one of the following: the standardized pulse reflection intensity ratio, the standardized sound velocity change rate, the standardized phase delay value, and the standardized spectral attenuation coefficient; the standardization formula is:

[0155]

[0156] where, for any parameter in the standardized values, X' represents the parameter; X represents the parameter before standardization; μ represents the average value of the parameters included in the standardized values; and σ represents the standard deviation of the parameter.

[0157] In some embodiments, the processing unit 602 is specifically configured to:

[0158] Calculate the attenuation rate based on the initial amplitude data of the pipeline with the composite material layer unwrapped and the real-time amplitude data of the pipeline to be measured; select the spectral attenuation coefficient that matches the attenuation rate, search for the pipeline wall thickness corresponding to the comprehensive parameter value corresponding to the spectral attenuation coefficient in the thickness-comprehensive parameter relationship diagram, and use the pipeline wall thickness as the abscissa and the real-time amplitude data as the ordinate to draw the wall thickness-amplitude relationship curve.

[0159] In some embodiments, the attenuation rate is calculated by the following calculation formula:

[0160]

[0161] where, A(d) represents the real-time amplitude data; A0 represents the initial amplitude data, α represents the attenuation rate, and d represents the thickness of the composite material layer.

[0162] The embodiment of the present application also provides a computer-readable storage medium, and the computer-readable storage medium includes computer-executable instructions. When the computer-executable instructions run on a computer, the computer is caused to execute the method for monitoring the wall thickness of a pipeline wrapped with a composite material as provided in the above embodiments.

[0163] The embodiments of the present application also provide a computer program product. This computer program product can be directly loaded into a memory and contains software code. After being loaded and executed by a computer, the computer program product can implement the method for monitoring the wall thickness of a composite material-wrapped pipeline provided in the above embodiments. Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that they can still modify or equivalently replace the technical solutions of the present invention, and these modifications or equivalent replacements do not make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present invention.

[0164] For the system provided in the above embodiments, only the division of the above function modules is used as an example for illustration. In practical applications, the above functions can be allocated to different function modules according to needs, that is, the modules or steps in the embodiments of the present invention can be further decomposed or combined. For example, the modules in the above embodiments can be combined into one module, or further split into multiple sub-modules to complete all or part of the functions described above. For the names of the modules and steps involved in the embodiments of the present invention, they are only used to distinguish each module or step and are not regarded as an improper limitation of the present invention.

[0165] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0166] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams can be implemented by computer program instructions, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can also be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, so that the instructions executed by the processors of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0167] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to work in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction device that implements the functions specified in one or more of the processes Figure 1 one or more processes and / or blocks Figure 1 specified in the block or blocks.

[0168] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one or more of the processes Figure 1 one or more processes and / or blocks Figure 1 specified in the block or blocks.

[0169] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit them. Although the present application has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that modifications or equivalent replacements can still be made to the specific embodiments of the present application. Any modification or equivalent replacement that does not depart from the spirit and scope of the present application shall be covered by the protection scope of the claims of the present application.

Claims

1. A method for monitoring the wall thickness of a composite material wrapped pipe, characterized in that: include: Taking the pipe without the composite material layer as the starting measurement point, gradually increasing the thickness of the composite material layer while keeping the measurement conditions unchanged, performing ultrasonic testing, obtaining measurement and analysis parameters, and forming an initial data set with the measurement and analysis parameters; Generate a comprehensive parameter value according to the measurement and analysis parameters in the initial data set, draw a thickness-comprehensive parameter relationship graph with the thickness as the horizontal coordinate and the comprehensive parameter value as the vertical coordinate, and draw a wall thickness-amplitude relationship curve based on the thickness-comprehensive parameter relationship graph; The actual wall thickness of the pipeline to be tested is obtained by comparing and analyzing the acquired real-time amplitude data of the pipeline to be tested with the wall thickness-amplitude relationship curve.

2. A method for monitoring the wall thickness of a composite material wrapped pipe according to claim 1, characterized in that: The measurement and analysis parameters include at least one of the following: pulse reflection intensity ratio, sound velocity change rate, phase delay value and nonlinear coefficient; the nonlinear coefficient includes a spectrum attenuation coefficient.

3. A method for monitoring the wall thickness of a composite material wrapped pipe according to claim 2, characterized in that: The pulse reflection intensity ratio is calculated by the following formula: Wherein, R represents the pulse reflection intensity ratio; I reflected Indicates the intensity of the reflected wave; I incident Represents the intensity of the incident wave.

4. The method for monitoring the wall thickness of a composite material wrapped pipe according to claim 2, characterized in that: The sound velocity change rate is calculated by the following formula: Wherein, ΔV represents the sound velocity change rate; V1 represents the sound velocity of the composite material layer; V2 represents the sound velocity of the pipeline substrate; and d represents the thickness of the composite material layer.

5. The method for monitoring the wall thickness of a composite material wrapped pipe according to claim 2, characterized in that: The phase delay value is calculated by the following formula: in, represents the phase delay value; ω represents the angular frequency of the ultrasonic wave; τ represents the delay time.

6. The method for monitoring the wall thickness of a composite material wrapped pipe according to claim 2, characterized in that: The spectrum attenuation coefficient is calculated by the following formula: Among them, β represents the spectrum attenuation coefficient; A1 represents the amplitude of the incident wave; A2 represents the amplitude of the received wave; and d represents the length of the signal propagation path.

7. The method for monitoring the wall thickness of a composite material wrapped pipe according to claim 2, characterized in that: The comprehensive parameter value is calculated by the following formula: Wherein, S represents the comprehensive parameter value; R represents the pulse reflection intensity ratio; ΔV represents the sound velocity change rate; represents the phase delay value; β represents the spectrum attenuation coefficient; w1 represents the weight of the pulse reflection intensity ratio, w2 represents the weight of the sound speed change rate, w3 represents the weight of the phase delay value, and w4 represents the weight of the spectrum attenuation coefficient.

8. The method for monitoring the wall thickness of a composite material wrapped pipe according to claim 7, characterized in that: S also represents the processed comprehensive parameter value; R also represents the normalized pulse reflection intensity ratio; ΔV also represents the normalized sound velocity change rate; β also represents the standardized phase delay value; β also represents the standardized spectrum attenuation coefficient; w1 also represents the weight of the standardized pulse reflection intensity ratio, w2 also represents the weight of the standardized sound velocity change rate, w3 also represents the weight of the standardized phase delay value, and w4 also represents the weight of the standardized spectrum attenuation coefficient; Generating a comprehensive parameter value according to the measurement and analysis parameters in the initial data set includes: The measurement and analysis parameters in the initial data set are standardized by using a standardized formula to obtain a standardized value, and the processed comprehensive parameter value is generated according to the standardized value; the standardized value includes at least one of the following: the standardized pulse reflection intensity ratio, the standardized sound velocity change rate, the standardized phase delay value and the standardized spectrum attenuation coefficient; The standardized formula is: Wherein, for any parameter in the standardized value, X' represents the parameter; X represents the parameter before standardization; μ represents the average value of the parameter included in the standardized value; σ represents the standard deviation of the parameter.

9. The method for monitoring the wall thickness of a composite material wrapped pipe according to claim 1, characterized in that: Drawing a wall thickness-amplitude relationship curve based on the thickness-comprehensive parameter relationship diagram includes: Calculating the attenuation rate according to the initial amplitude data of the pipeline not wrapped with the composite material layer and the real-time amplitude data of the pipeline to be tested; Select a spectral attenuation coefficient that matches the attenuation rate, find the pipeline wall thickness corresponding to the comprehensive parameter value corresponding to the spectral attenuation coefficient in the thickness-comprehensive parameter relationship diagram, and draw the wall thickness-amplitude relationship curve with the pipeline wall thickness as the horizontal coordinate and the real-time amplitude data as the vertical coordinate.

10. The method for monitoring the wall thickness of a composite material wrapped pipe according to claim 9, characterized in that: The attenuation rate is calculated by the following formula: Wherein, A(d) represents the real-time amplitude data; A0 represents the initial amplitude data, α represents the attenuation rate, and d represents the thickness of the composite material layer.

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