An intelligent detection system for geometric dimension data of steel pipe ends

Abstract

The present invention relates to the technical field of intelligent dimensional data detection, and specifically discloses an intelligent detection system for geometric dimensional data of steel pipe ends. The system utilizes a high-frequency electromagnetic wave generator to generate an electromagnetic field within a specific frequency range, and arranges multiple highly sensitive electromagnetic sensors around the steel pipe to capture in real time the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode. The system then analyzes the resonant frequency change data to identify the inclination of the steel pipe end surface under different frequency resonance modes, and ultimately identifies the final value of the inclination of the steel pipe end surface. By utilizing high-frequency electromagnetic waves and highly sensitive sensors to detect the inclination of the steel pipe end surface, and through multi-frequency resonance analysis, the system can provide a comprehensive inclination assessment, ensuring product quality while also providing important data support for optimizing the production process.

Description

Technical Field

[0001] The invention belongs to the technical field of intelligent detection of dimension data, and relates to an intelligent detection system for geometric dimension data of a steel pipe end. Background Art

[0002] The necessity of steel pipe end face inclination testing stems from its direct impact on product quality and safety. In industries like oil and gas, pipe accuracy is crucial, as improper inclination can lead to poor connections and seal failures, potentially causing leaks or other safety hazards. Furthermore, inclination deviations can affect pipe installation accuracy and service life, increasing maintenance costs.

[0003] Traditional physical contact inspection methods can cause wear or damage to the steel pipe surface, but the use of electromagnetic fields and sensors completely avoids this problem. Non-contact inspection not only protects the surface integrity of the steel pipe, but also greatly improves the convenience and safety of inspection. It is particularly suitable for high temperature, high pressure or other environments where contact is not suitable. Summary of the Invention

[0004] In view of the above problems existing in the prior art, the present invention provides an intelligent detection system for geometric dimension data of steel pipe ends, which is used to solve the above technical problems.

[0005] In order to achieve the above-mentioned and other purposes, the technical solutions adopted by the present invention are as follows:

[0006] On one hand, the present invention provides an intelligent detection system for geometric dimension data of steel pipe ends, which includes a high-frequency electromagnetic field generation module, a multi-point resonance frequency acquisition module, a frequency resonance data recognition module, and a comprehensive inclination analysis module. The above modules are connected by wired and / or wireless connections to achieve data transmission between the modules.

[0007] High-frequency electromagnetic field generation module: The system is equipped with a tunable high-frequency electromagnetic wave generator, which generates an electromagnetic field within a specific frequency range. The electromagnetic field covers the pipe end area;

[0008] Multi-point resonance frequency acquisition module: Based on the basic information of the steel pipe, a multi-dimensional intelligent electromagnetic sensor array is arranged around the end face of the steel pipe to capture the resonance frequency change data of each position point on the end face of the steel pipe under each frequency resonance mode in real time;

[0009] Frequency resonance data identification module: analyzes the resonance frequency change data and identifies the inclination of the steel pipe end face under different frequency resonance modes;

[0010] Inclination comprehensive analysis module: ultimately identifies the final value of the steel pipe end face inclination.

[0011] A multi-dimensional intelligent electromagnetic sensor array is arranged around the end face of the steel pipe according to the basic information of the steel pipe, wherein the controllable arrangement parameters of the multi-dimensional intelligent electromagnetic sensor array are the arrangement spacing and arrangement angle of the electromagnetic sensors;

[0012] The basic information of the steel pipe includes the outer diameter, and the outer diameter of the steel pipe is recorded as D;

[0013] Calculate the total number of electromagnetic sensors required in the multi-dimensional intelligent electromagnetic sensor array based on the effective detection range R of the electromagnetic sensor α is a predefined overlap coefficient, which ranges from [0.6, 0.9], and π is a natural constant;

[0014] Then calculate the layout spacing of electromagnetic sensors in the multi-dimensional intelligent electromagnetic sensor array β is the sensitivity coefficient of the electromagnetic sensor;

[0015] Synchronously calculate the layout angles of electromagnetic sensors in a multi-dimensional intelligent electromagnetic sensor array

[0016] Each frequency resonance mode is specifically divided into a fundamental resonance mode, a higher harmonic mode, a transverse resonance mode, and a longitudinal resonance mode.

[0017] The variable corresponding to each frequency resonance mode is the electromagnetic field frequency, wherein the electromagnetic field frequency setting process in each frequency resonance mode includes:

[0018] The basic information of the steel pipe also includes the steel pipe wall thickness t, the steel pipe material density ρ and the elastic modulus E of the steel pipe material;

[0019] Then, the electromagnetic field frequencies in the fundamental resonance mode, higher harmonic mode, transverse resonance mode, and longitudinal resonance mode are obtained, which are denoted as F1, F ε , F3, F4;

[0020] The specific calculation formula of the electromagnetic field frequency F1 in the basic resonance mode is: Where μ is the magnetic permeability;

[0021] Electromagnetic field frequency F in high harmonic mode ε The specific calculation formula is: Where ε is the harmonic order;

[0022] The specific calculation formula of the electromagnetic field frequency F3 in the transverse resonance mode is: where ν represents Poisson's ratio;

[0023] The specific calculation formula of the electromagnetic field frequency F4 in the longitudinal resonance mode is: Where c represents the speed of sound propagation in the steel pipe material.

[0024] Real-time capture of the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode, wherein the resonant frequency change data of each position point on the steel pipe end surface includes the resonant frequency, amplitude, phase and attenuation rate;

[0025] The specific steps for capturing the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode are as follows:

[0026] The multi-dimensional intelligent electromagnetic sensor array performs spatial analysis and signal processing on the resonance frequency change data received by each electromagnetic sensor, combines the spatial coordinates and layout parameters of the sensor, and uses interpolation algorithms and inversion techniques to accurately map these resonance frequency change data to the resonance frequency change data of each position point corresponding to the end surface of the steel pipe.

[0027] Identify the inclination of the steel pipe end face under different frequency resonance modes. The specific identification process is as follows:

[0028] Obtain the resonance frequency, amplitude, phase and attenuation rate of each position point on the end face of the steel pipe in each frequency resonance mode and mark them as r is the number of each frequency resonance mode, and the value of r is 1, 2, 3 or 4, where the number 1 refers to the number of the fundamental resonance mode, the number 2 refers to the number of the higher harmonic mode, the number 3 refers to the number of the transverse resonance mode, and the number 4 refers to the number of the longitudinal resonance mode. g is the number of each position point;

[0029] Synchronously obtain the spatial coordinates (x g ,y g ), and then calculate the amplitude and phase gradient of each position point on the end surface of the steel pipe under each frequency resonance mode:

[0030] The gradient calculation formula for the amplitude of each position point on the end surface of the steel pipe under each frequency resonance mode is: in is the amplitude of the g+1th position on the end surface of the steel pipe at the rth frequency resonance mode;

[0031] The calculation formula for the phase gradient of each position point on the end surface of the steel pipe under each frequency resonance mode is: in is the phase of the g+1th position on the end surface of the steel pipe at the rth frequency resonance mode;

[0032] The initial inclination vector components of the steel pipe end face in the horizontal direction and the initial inclination vector components in the vertical direction under each frequency resonance mode are calculated as follows:

[0033]

[0034] In the above formula, are the initial inclination vector components of the steel pipe end face in the horizontal direction and the initial inclination vector components in the vertical direction under the rth frequency resonance mode, is the resonance frequency weight factor of the g-th position on the end face of the steel pipe in the r-th frequency resonance mode,

[0035] Based on the attenuation rate of each position point on the steel pipe end surface under each frequency resonance mode, the initial inclination vector component of the steel pipe end surface in the horizontal direction and the initial inclination vector component in the vertical direction under each frequency resonance mode are corrected and calculated respectively, and the actual inclination vector component of the steel pipe end surface in the horizontal direction and the actual inclination vector component in the vertical direction under each frequency resonance mode are obtained:

[0036] in, are the actual inclination vector component of the steel pipe end face in the horizontal direction and the actual inclination vector component in the vertical direction under the rth frequency resonance mode, respectively. exp(·) represents the exponential function with the natural constant e as the base;

[0037] Finally, the inclination of the steel pipe end face under each frequency resonance mode is calculated

[0038] The specific recognition logic for finally identifying the final value of the steel pipe end face inclination is:

[0039] According to the inclination of the steel pipe end surface under each frequency resonance mode, the inclination of the steel pipe end surface under the fundamental resonance mode, higher harmonic mode, transverse resonance mode and longitudinal resonance mode are extracted respectively, and marked as θ1, θ2, θ3 and θ4 respectively;

[0040] The final value of the steel pipe end face inclination is finally calculated in are the basic weights of the fundamental resonance mode, higher harmonic mode, transverse resonance mode and longitudinal resonance mode respectively, ζ, ζ′, ζ″, ζ″′ are the preset interaction coefficients between modes respectively, and θ in is the slope adjustment term for the interaction effect between the resonance modes of different frequencies, θ on It is the slope adjustment item corresponding to the nonlinear effect of the set different frequency resonance modes;

[0041] θ in =ζ·θ1·θ2+ζ′·θ1·θ3+ζ″·θ2·θ4+ζ″′·θ4·θ3;

[0042]

[0043] Another aspect of the present invention provides an intelligent detection device for geometric dimension data of a steel pipe end, comprising a processor, a memory and a communication bus;

[0044] The memory stores a computer-readable program executable by the processor;

[0045] The communication bus realizes the connection and communication between the processor and the memory;

[0046] When the processor executes the computer-readable program, it implements the intelligent detection system for geometric dimension data of steel pipe ends according to the present invention.

[0047] As described above, the intelligent detection system for geometric dimension data of steel pipe ends provided by the present invention has at least the following beneficial effects:

[0048] The present invention provides an intelligent detection system for geometric dimension data of steel pipe ends. By using a high-frequency electromagnetic wave generator to generate an electromagnetic field within a specific frequency range and arranging multiple highly sensitive electromagnetic sensors around the steel pipe, the system captures the resonant frequency change data of each position point corresponding to the steel pipe end face under each frequency resonance mode in real time; the resonant frequency change data is analyzed to identify the inclination of the steel pipe end face under different frequency resonance modes; and then the final value of the inclination of the steel pipe end face is finally identified. The inclination detection of the steel pipe end face using high-frequency electromagnetic waves and highly sensitive sensors not only achieves the advantages of non-contact, high-precision, and real-time detection in technology, but also meets the urgent needs of modern industry for efficient and reliable detection in application. Through multi-frequency resonance analysis, the system can provide comprehensive inclination assessment, ensuring product quality while also providing important data support for optimizing the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0050] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention. DETAILED DESCRIPTION

[0051] The above contents described below in conjunction with the implementation of the present invention are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall fall within the scope of protection of the present invention.

[0052] Example 1:

[0053] See also Figure 1 As shown, an intelligent detection system for geometric dimension data of steel pipe ends includes a high-frequency electromagnetic field generation module, a multi-point resonance frequency acquisition module, a frequency resonance data recognition module, and an inclination comprehensive analysis module. The above modules are connected by wired and / or wireless connections to achieve data transmission between the modules;

[0054] High-frequency electromagnetic field generation module: The system is equipped with a tunable high-frequency electromagnetic wave generator, which generates an electromagnetic field within a specific frequency range. The electromagnetic field covers the pipe end area;

[0055] It should be further explained that a multi-dimensional intelligent electromagnetic sensor array is arranged around the end face of the steel pipe according to the basic information of the steel pipe, wherein the controllable arrangement parameters of the multi-dimensional intelligent electromagnetic sensor array are the arrangement spacing and arrangement angle of the electromagnetic sensors;

[0056] The basic information of the steel pipe includes the outer diameter, and the outer diameter of the steel pipe is recorded as D;

[0057] Calculate the total number of electromagnetic sensors required in the multi-dimensional intelligent electromagnetic sensor array based on the effective detection range R of the electromagnetic sensor α is a predefined overlap coefficient, which ranges from [0.6, 0.9], and π is a natural constant;

[0058] Then calculate the layout spacing of electromagnetic sensors in the multi-dimensional intelligent electromagnetic sensor array β is the sensitivity coefficient of the electromagnetic sensor;

[0059] Synchronously calculate the layout angles of electromagnetic sensors in a multi-dimensional intelligent electromagnetic sensor array

[0060] Multi-point resonance frequency acquisition module: Based on the basic information of the steel pipe, a multi-dimensional intelligent electromagnetic sensor array is arranged around the end face of the steel pipe to capture the resonance frequency change data of each position point on the end face of the steel pipe under each frequency resonance mode in real time;

[0061] It should be further explained that each frequency resonance mode is specifically divided into a fundamental resonance mode, a higher harmonic mode, a transverse resonance mode and a longitudinal resonance mode.

[0062] When measuring the inclination of a steel pipe end face, the combination of fundamental resonance mode, higher harmonic mode, transverse resonance mode, and longitudinal resonance mode can provide multi-dimensional detection data, thereby improving measurement accuracy and reliability. The fundamental resonance mode can capture overall deformation, the higher harmonic mode can identify subtle structural changes, and the transverse and longitudinal resonance modes provide information on transverse and longitudinal stress distribution, respectively. By combining the data from these modes, the inclination of the steel pipe end face can be more accurately assessed and potential structural defects can be effectively identified, ensuring the quality and safety of the steel pipe. This multi-mode measurement method not only improves the comprehensiveness of detection, but also enhances the robustness and adaptability of the system.

[0063] It should be further explained that the variable corresponding to each frequency resonance mode is the electromagnetic field frequency, wherein the electromagnetic field frequency setting process in each frequency resonance mode includes:

[0064] The basic information of the steel pipe also includes the steel pipe wall thickness t, the steel pipe material density ρ and the elastic modulus E of the steel pipe material;

[0065] Then, the electromagnetic field frequencies in the fundamental resonance mode, higher harmonic mode, transverse resonance mode, and longitudinal resonance mode are obtained, which are denoted as F1, F ε , F3, F4;

[0066] The specific calculation formula of the electromagnetic field frequency F1 in the basic resonance mode is: Where μ is the magnetic permeability;

[0067] The formula for the electromagnetic field frequency in the fundamental resonance mode is based on the relationship between the elastic modulus and density of the steel pipe and reflects the material's natural vibration characteristics. The formula incorporates the effects of outer diameter and wall thickness and considers the influence of magnetic permeability on the electromagnetic field, ensuring an accurate description of the steel pipe's fundamental vibration characteristics. This formula allows for precise adjustment of the electromagnetic field frequency to match the steel pipe's natural frequency, thereby improving detection sensitivity and accuracy.

[0068] Electromagnetic field frequency F in high harmonic mode ε The specific calculation formula is: Where ε is the harmonic order;

[0069] The formula for calculating higher harmonic mode frequencies is based on multiplying the fundamental frequency, taking into account the influence of the wall thickness-to-diameter ratio. This method, based on the theory of harmonic vibration, captures higher-frequency vibration modes in steel pipes. Analyzing higher harmonics enables the detection of even smaller defects and inhomogeneities, which is crucial for ensuring high quality and safety of steel pipes. Analysis of different harmonic modes provides more detailed information on the condition of the steel pipe, enabling more comprehensive quality control.

[0070] The specific calculation formula of the electromagnetic field frequency F3 in the transverse resonance mode is: where ν represents Poisson's ratio;

[0071] The formula for the transverse resonance mode frequency takes into account the material's elastic modulus, density, Poisson's ratio, and magnetic permeability. The inclusion of magnetic permeability reflects the influence of electromagnetic fields on transverse vibration. Analysis of transverse resonance modes helps verify the transverse structural integrity of steel pipes, particularly when detecting transverse deformation caused by external forces or environmental factors. This is crucial for ensuring the stability and reliability of steel pipes in practical applications.

[0072] The specific calculation formula of the electromagnetic field frequency F4 in the longitudinal resonance mode is: Where c represents the speed of sound propagation in the steel pipe material.

[0073] The longitudinal resonance mode frequency formula combines the material's sound velocity with geometric parameters to reflect the longitudinal vibration characteristics of the steel pipe, accurately describing its vibration behavior in the longitudinal direction. This helps identify longitudinal defects such as cracks or inhomogeneities. By adjusting the electromagnetic field frequency to match the longitudinal resonance, the depth and accuracy of inspection can be improved.

[0074] In inspection systems, accurately adjusting the electromagnetic field frequency to match different resonance modes is crucial. Each mode provides distinct information about the steel pipe's condition, and comprehensive analysis of these modes enables more comprehensive quality control. This not only improves detection sensitivity and accuracy but also effectively reduces the risk of false and missed detections, ensuring the safety and reliability of steel pipes in various applications.

[0075] It should be further explained that the resonant frequency change data of each position point on the steel pipe end surface corresponding to each frequency resonance mode is captured in real time, wherein the resonant frequency change data of each position point on the steel pipe end surface corresponding to each frequency resonance mode includes the resonant frequency, amplitude, phase and attenuation rate;

[0076] The specific steps for capturing the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode are as follows:

[0077] The multi-dimensional intelligent electromagnetic sensor array performs spatial analysis and signal processing on the resonance frequency change data received by each electromagnetic sensor, combines the spatial coordinates and layout parameters of the sensor, and uses interpolation algorithms and inversion techniques to accurately map these resonance frequency change data to the resonance frequency change data of each position point corresponding to the end surface of the steel pipe.

[0078] Frequency resonance data identification module: analyzes the resonance frequency change data and identifies the inclination of the steel pipe end face under different frequency resonance modes;

[0079] It should be further explained that the inclination of the steel pipe end face under different frequency resonance modes is identified. The specific identification process is as follows:

[0080] Obtain the resonance frequency, amplitude, phase and attenuation rate of each position point on the end face of the steel pipe in each frequency resonance mode and mark them as r is the number of each frequency resonance mode, and the value of r is 1, 2, 3 or 4, where the number 1 refers to the number of the fundamental resonance mode, the number 2 refers to the number of the higher harmonic mode, the number 3 refers to the number of the transverse resonance mode, and the number 4 refers to the number of the longitudinal resonance mode. g is the number of each position point;

[0081] Synchronously obtain the spatial coordinates (x g ,y g ), and then calculate the amplitude and phase gradient of each position point on the end surface of the steel pipe under each frequency resonance mode:

[0082] The gradient calculation formula for the amplitude of each position point on the end surface of the steel pipe under each frequency resonance mode is: in is the amplitude of the g+1th position on the end surface of the steel pipe at the rth frequency resonance mode;

[0083] The calculation formula for the phase gradient of each position point on the end surface of the steel pipe under each frequency resonance mode is: in is the phase of the g+1th position on the end surface of the steel pipe at the rth frequency resonance mode;

[0084] The initial inclination vector components of the steel pipe end face in the horizontal direction and the initial inclination vector components in the vertical direction under each frequency resonance mode are calculated as follows:

[0085]

[0086] In the above formula, are the initial inclination vector components of the steel pipe end face in the horizontal direction and the initial inclination vector components in the vertical direction under the rth frequency resonance mode, is the resonance frequency weight factor of the g-th position on the end face of the steel pipe in the r-th frequency resonance mode,

[0087] Based on the attenuation rate of each position point on the steel pipe end surface under each frequency resonance mode, the initial inclination vector component of the steel pipe end surface in the horizontal direction and the initial inclination vector component in the vertical direction under each frequency resonance mode are corrected and calculated respectively, and the actual inclination vector component of the steel pipe end surface in the horizontal direction and the actual inclination vector component in the vertical direction under each frequency resonance mode are obtained:

[0088] in, are the actual inclination vector component of the steel pipe end face in the horizontal direction and the actual inclination vector component in the vertical direction under the rth frequency resonance mode, respectively. exp(·) represents the exponential function with the natural constant e as the base;

[0089] Finally, the inclination of the steel pipe end face under each frequency resonance mode is calculated

[0090] The above calculation formula is intended to infer the inclination of the steel pipe end face through electromagnetic characteristics. The core of this method is to use the resonance characteristics of the electromagnetic field and combine the gradient information of amplitude, phase and frequency to construct a multi-dimensional inclination vector model:

[0091] By calculating the gradients of amplitude and phase, it is possible to capture the changing trends of electromagnetic waves at different spatial positions. These changing trends directly reflect the changes in the geometric shape of the steel pipe surface. Secondly, the resonant frequency is the natural vibration frequency of the steel pipe under specific conditions. Introducing the resonant frequency as a weighting factor can give higher weights to frequencies that are more sensitive to geometric changes when calculating the inclination vector. In the calculation formula of the inclination vector, the combination of amplitude and phase gradients and frequency weights can effectively convert spatial geometric changes into quantifiable inclination vectors. In this way, these changes can be quantitatively analyzed. At the same time, electromagnetic waves will attenuate due to absorption and scattering of materials during propagation. Especially in complex geometric structures, by correcting the attenuation rate of the inclination vector, these losses can be compensated, ensuring that the final calculation result is closer to the actual geometric state of the steel pipe.

[0092] Inclination comprehensive analysis module: ultimately identifies the final value of the steel pipe end face inclination.

[0093] It should be further explained that the specific recognition logic for finally identifying the final value of the steel pipe end face inclination is:

[0094] According to the inclination of the steel pipe end surface under each frequency resonance mode, the inclination of the steel pipe end surface under the fundamental resonance mode, higher harmonic mode, transverse resonance mode and longitudinal resonance mode are extracted respectively, and marked as θ1, θ2, θ3 and θ4 respectively;

[0095] The final value of the steel pipe end face inclination is finally calculated in are the basic weights of the fundamental resonance mode, higher harmonic mode, transverse resonance mode and longitudinal resonance mode respectively, ζ, ζ′, ζ″, ζ″′ are the preset interaction coefficients between modes respectively, and θ in is the slope adjustment term for the interaction effect between the resonance modes of different frequencies, θ onIt is the slope adjustment item corresponding to the nonlinear effect of the set different frequency resonance modes;

[0096] θ in =ζ·θ1·θ2+ζ′·θ1·θ3+ζ″·θ2·θ4+ζ″′·θ4·θ3;

[0097]

[0098] In the calculation of the inclination of the steel pipe end face, add θ in and θ on The introduction of these two parameters not only reflects the complex interaction between different resonance modes, but also takes into account the nonlinear characteristics of the influence of each mode on the tilt:

[0099] θ in The interaction coefficient is used to capture the mutual influence between different modes. In practical applications, the physical properties of steel pipes and the detection environment may lead to coupling effects between different resonance modes, which are often difficult to accurately describe through simple linear superposition. By introducing the interaction effect parameter, the dynamic relationship between these modes can be better simulated, improving the detection system's adaptability to complex environments.

[0100] θ on The introduction of these parameters accounts for the nonlinear effects of each mode at varying intensities. In reality, as the intensity of a resonant mode increases, its effect on tilt may not increase linearly, but instead exhibit an accelerating or decelerating trend. By describing this nonlinear effect through squared terms, the model more accurately reflects the various nonlinear phenomena that occur during actual detection, thereby improving the accuracy of tilt calculations.

[0101] The specific steps for obtaining the preset inter-mode interaction coefficients ζ, ζ′, ζ″, and ζ″′ are as follows:

[0102] Steel pipes of different materials, diameters, and wall thicknesses were randomly selected as samples, and the inclination of the end faces of the sample steel pipes was measured under different resonance modes.

[0103] Collect the inclination of the sample steel pipe in fundamental, higher harmonic, transverse and longitudinal resonance modes;

[0104] Use high-precision instruments to measure the actual inclination value as a reference;

[0105] Using multiple regression analysis, the slope of each mode and the actual slope θ were established. actual The specific calculation formula is as follows:

[0106] θ actual=q1·θ1+q2·θ2+q3·θ3+q4·θ4+ζ·θ1·θ2+ζ′·θ1·θ3+ζ″·θ2·θ4+ζ″′·θ4·θ3;

[0107] Where q1, q2, q3 and q4 represent the linear influence coefficient of the fundamental resonance mode on the actual tilt, the linear influence coefficient of the higher harmonic mode on the actual tilt, the linear influence coefficient of the transverse resonance mode on the actual tilt and the linear influence coefficient of the longitudinal resonance mode on the actual tilt, respectively;

[0108] The least squares method is used to adjust the coefficients to minimize the error between the predicted inclination and the actual measured value. Based on the verification results, the interaction coefficients are adjusted to improve the calculation accuracy.

[0109] In practical applications, each frequency resonance mode (fundamental resonance, higher harmonics, transverse and longitudinal) does not exist in isolation. The interactions between them may lead to complex physical phenomena. For example, the fundamental resonance mode may be affected by higher harmonics, thereby changing its contribution to the tilt. This interaction effect is often ignored in traditional linear models, leading to deviations in the results. Therefore, the introduction of interaction coefficients can better capture these complex interactions. At the same time, under different environmental conditions and material properties, these coefficients can be adjusted based on experimental data to ensure that the model can accurately reflect the actual situation; the inter-mode interaction coefficients improve the accuracy and adaptability of the model by capturing complex physical interactions.

[0110] Example 2:

[0111] An intelligent detection device for geometric dimension data of a steel pipe end, comprising a processor, a memory and a communication bus;

[0112] The memory stores a computer-readable program executable by the processor;

[0113] The communication bus realizes the connection and communication between the processor and the memory;

[0114] When the processor executes the computer-readable program, it implements the intelligent detection system for geometric dimension data of steel pipe ends according to the present invention.

[0115] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0116] It should be understood that determining B based on A does not mean determining B based solely on A. B can also be determined based on A and / or other information.

[0117] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0118] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. An intelligent detection system for geometric dimension data of steel pipe ends, characterized by: include: High-frequency electromagnetic field generation module: The system is equipped with a tunable high-frequency electromagnetic wave generator, which generates an electromagnetic field within a specific frequency range. The electromagnetic field covers the pipe end area; Multi-point resonance frequency acquisition module: Based on the basic information of the steel pipe, a multi-dimensional intelligent electromagnetic sensor array is arranged around the end surface of the steel pipe to capture the resonance frequency change data of each position point on the end surface of the steel pipe under each frequency resonance mode in real time; Each frequency resonance mode is specifically divided into basic resonance mode, higher harmonic mode, transverse resonance mode and longitudinal resonance mode; Real-time capture of the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode, wherein the resonant frequency change data of each position point on the steel pipe end surface includes the resonant frequency, amplitude, phase and attenuation rate; The specific steps for capturing the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode are as follows: The multi-dimensional intelligent electromagnetic sensor array performs spatial analysis and signal processing on the resonance frequency change data received by each electromagnetic sensor. Combining the spatial coordinates and layout parameters of the sensors, the interpolation algorithm and inversion technology are used to accurately map these resonance frequency change data to the resonance frequency change data of each corresponding position point on the steel pipe end surface. Frequency resonance data identification module: analyzes the resonance frequency change data and identifies the inclination of the steel pipe end face under different frequency resonance modes; Identify the inclination of the steel pipe end face under different frequency resonance modes. The specific identification process is as follows: Obtain the resonance frequency, amplitude, phase and attenuation rate of each position point on the end face of the steel pipe in each frequency resonance mode and mark them as r is the number of each frequency resonance mode, and the value of r is 1, 2, 3 or 4, where the number 1 refers to the number of the fundamental resonance mode, the number 2 refers to the number of the higher harmonic mode, the number 3 refers to the number of the transverse resonance mode, and the number 4 refers to the number of the longitudinal resonance mode. g is the number of each position point; Synchronously obtain the spatial coordinates (x g ,y g ), and then calculate the amplitude and phase gradient of each position point on the end surface of the steel pipe under each frequency resonance mode: The gradient calculation formula for the amplitude of each position point on the end surface of the steel pipe under each frequency resonance mode is: in is the amplitude of the g+1th position on the end surface of the steel pipe at the rth frequency resonance mode; The calculation formula for the phase gradient of each position point on the end surface of the steel pipe under each frequency resonance mode is: in is the phase of the g+1th position on the end surface of the steel pipe at the rth frequency resonance mode; The initial inclination vector components of the steel pipe end face in the horizontal direction and the initial inclination vector components in the vertical direction under each frequency resonance mode are calculated as follows: In the above formula, are the initial inclination vector components of the steel pipe end face in the horizontal direction and the initial inclination vector components in the vertical direction under the rth frequency resonance mode, is the resonance frequency weight factor of the g-th position on the end face of the steel pipe in the r-th frequency resonance mode, Based on the attenuation rate of each position point on the steel pipe end surface under each frequency resonance mode, the initial inclination vector component of the steel pipe end surface in the horizontal direction and the initial inclination vector component in the vertical direction under each frequency resonance mode are corrected and calculated respectively, and the actual inclination vector component of the steel pipe end surface in the horizontal direction and the actual inclination vector component in the vertical direction under each frequency resonance mode are obtained: in, are the actual inclination vector component of the steel pipe end face in the horizontal direction and the actual inclination vector component in the vertical direction under the rth frequency resonance mode, respectively. exp(·) represents the exponential function with the natural constant e as the base; Finally, the inclination of the steel pipe end face under each frequency resonance mode is calculated Inclination comprehensive analysis module: ultimately identifies the final value of the steel pipe end face inclination; The specific recognition logic for finally identifying the final value of the steel pipe end face inclination is: According to the inclination of the steel pipe end surface under each frequency resonance mode, the inclination of the steel pipe end surface under the fundamental resonance mode, higher harmonic mode, transverse resonance mode and longitudinal resonance mode are extracted respectively, and marked as θ1, θ2, θ3 and θ4 respectively; The final value of the steel pipe end face inclination is finally calculated in are the basic weights of the fundamental resonance mode, higher harmonic mode, transverse resonance mode and longitudinal resonance mode respectively, ζ, ζ′, ζ″, ζ″′ are the preset interaction coefficients between modes respectively, and θ in is the slope adjustment term for the interaction effect between the resonance modes of different frequencies, θ on It is the slope adjustment item corresponding to the nonlinear effect of the set different frequency resonance modes; i in =ζ·θ1·θ2+ζ′·θ1·θ3+ζ″·θ2·θ4+ζ″′·θ4·θ3; 2. The intelligent detection system for geometric dimension data of steel pipe ends according to claim 1 is characterized in that: A multi-dimensional intelligent electromagnetic sensor array is arranged around the end face of the steel pipe according to the basic information of the steel pipe, wherein the controllable arrangement parameters of the multi-dimensional intelligent electromagnetic sensor array are the arrangement spacing and arrangement angle of the electromagnetic sensors; The basic information of the steel pipe includes the outer diameter, and the outer diameter of the steel pipe is recorded as D; Calculate the total number of electromagnetic sensors required in the multi-dimensional intelligent electromagnetic sensor array based on the effective detection range R of the electromagnetic sensor α is a predefined overlap coefficient, which ranges from [0.6, 0.9], and π is a natural constant; Then calculate the layout spacing of electromagnetic sensors in the multi-dimensional intelligent electromagnetic sensor array β is the sensitivity coefficient of the electromagnetic sensor; Synchronously calculate the layout angles of electromagnetic sensors in a multi-dimensional intelligent electromagnetic sensor array 3. The intelligent detection system for geometric dimension data of steel pipe ends according to claim 1 is characterized in that: The variable corresponding to each frequency resonance mode is the electromagnetic field frequency, wherein the electromagnetic field frequency setting process in each frequency resonance mode includes: The basic information of the steel pipe also includes the steel pipe wall thickness t, the steel pipe material density ρ and the elastic modulus E of the steel pipe material; Then, the electromagnetic field frequencies in the fundamental resonance mode, higher harmonic mode, transverse resonance mode, and longitudinal resonance mode are obtained, which are denoted as F1, F ε , F3, F4; The specific calculation formula of the electromagnetic field frequency F1 in the basic resonance mode is: Where μ is the magnetic permeability; Electromagnetic field frequency F in high harmonic mode ε The specific calculation formula is: Where ε is the harmonic order; The specific calculation formula of the electromagnetic field frequency F3 in the transverse resonance mode is: where ν represents Poisson's ratio; The specific calculation formula of the electromagnetic field frequency F4 in the longitudinal resonance mode is: Where c represents the speed of sound propagation in the steel pipe material.

4. An intelligent detection device for geometric dimension data of steel pipe ends, characterized by: It is implemented based on an intelligent detection system for geometric dimension data of a steel pipe end according to any one of claims 1 to 3, comprising a processor, a memory and a communication bus; The memory stores a computer-readable program executable by the processor; The communication bus realizes the connection and communication between the processor and the memory; When the processor executes the computer-readable program, it implements the intelligent detection system for geometric dimension data of steel pipe ends according to any one of claims 1 to 3.

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