Intelligent detection system for geometric dimension data of pipe end of steel pipe

Abstract

The invention relates to the technical field of size data intelligent detection, and particularly discloses a steel pipe end geometric size data intelligent detection system. A high-frequency electromagnetic wave generator is used for generating an electromagnetic field in a specific frequency range, and a plurality of high-sensitivity electromagnetic sensors are arranged around a steel pipe; capturing resonance frequency change data of the end face of the steel pipe corresponding to each position point in each frequency resonance mode in real time; analyzing the resonance frequency change data, and identifying the inclination of the end face of the steel pipe in different frequency resonance modes; and finally identifying the final value of the end face gradient of the steel pipe. High-frequency electromagnetic waves and a high-sensitivity sensor are used for detecting the inclination of the end face of the steel pipe, through multi-frequency resonance analysis, the system can provide comprehensive inclination evaluation, the product quality is ensured, and meanwhile important data support is provided for optimization of 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 detection stems from its direct impact on product quality and safety. In industries such as oil and gas, the accuracy of steel pipes is crucial because improper inclination may lead to poor connections, seal failure, and further leakage or other safety hazards. In addition, deviations in inclination will affect the installation accuracy and service life of the pipeline and increase maintenance costs.

[0003] Traditional physical contact detection methods may cause wear or damage to the surface of the steel pipe, but the use of electromagnetic fields and sensors for detection completely avoids this problem. Non-contact detection not only protects the surface integrity of the steel pipe, but also greatly improves the convenience and safety of detection, especially suitable for high temperature, high pressure or other environments that are not suitable for contact. 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 purpose and other purposes, the technical solution adopted by the present invention is as follows:

[0006] On one hand, the present invention provides an intelligent detection system for geometric dimension data of steel pipe ends, which comprises 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 connection to realize 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 uses the high-frequency electromagnetic wave generator to generate an electromagnetic field within a specific frequency range. The electromagnetic field covers the pipe end area of ​​the steel pipe; and a multi-dimensional intelligent electromagnetic sensor array is arranged around the end surface of the steel pipe according to the basic information of the steel pipe;

[0008] Multi-point resonance frequency acquisition module: multiple highly sensitive electromagnetic sensors are arranged around the steel pipe to capture the resonance frequency change data of each position point on the end surface of the steel pipe in each frequency resonance mode in real time;

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

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

[0011] A multi-dimensional intelligent electromagnetic sensor array is arranged around the end surface 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] Synchronous calculation to obtain the layout angle of electromagnetic sensors in the multi-dimensional intelligent electromagnetic sensor array

[0016]

[0017] Each frequency resonance mode is specifically divided into a fundamental resonance mode, a higher harmonic mode, a lateral resonance mode and a longitudinal resonance mode.

[0018] 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:

[0019] 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;

[0020] 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;

[0021] The specific calculation formula of the electromagnetic field frequency F1 in the basic resonance mode is: Where μ is the magnetic permeability;

[0022] Electromagnetic field frequency F in high-order harmonic mode ε The specific calculation formula is: Where ε is the harmonic order;

[0023] The specific calculation formula of the electromagnetic field frequency F3 in the transverse resonance mode is: Where ν represents Poisson's ratio;

[0024] The specific calculation formula of the electromagnetic field frequency F4 in the longitudinal resonance mode is: Where c represents the propagation speed of sound in the steel pipe material.

[0025] Real-time capture of the resonant frequency change data of each position point on the end surface of the steel pipe under each frequency resonance mode, wherein the resonant frequency change data of each position point on the end surface of the steel pipe includes the resonant frequency, amplitude, phase and attenuation rate;

[0026] The specific steps to capture the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode are as follows:

[0027] The multi-dimensional intelligent electromagnetic sensor array performs spatial analysis and signal processing on the resonant 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 frequency change data into the resonant frequency change data of each position point corresponding to the end surface of the steel pipe.

[0028] Identify the inclination of the steel pipe end face under different frequency resonance modes. The specific identification process is as follows:

[0029] Obtain the resonance frequency, amplitude, phase and attenuation rate of each position point on the end surface of the steel pipe in each frequency resonance mode and mark them as r is the number of each frequency resonance mode, and r takes the value of 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, the number 4 refers to the number of the longitudinal resonance mode, and g is the number of each position point;

[0030] 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:

[0031] The gradient calculation formula of the amplitude at 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 in the rth frequency resonance mode;

[0032] 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 tube in the rth frequency resonance mode;

[0033] The initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction under each frequency resonance mode are calculated as follows:

[0034]

[0035] In the above formula, are the initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction under the rth frequency resonance mode, respectively. is the resonant frequency weight factor of the g-th position on the end of the steel tube in the r-th frequency resonance mode,

[0036] Based on the attenuation rate of each position point on the end face of the steel pipe in each frequency resonance mode, the initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction in each frequency resonance mode are corrected and calculated respectively, and 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 in each frequency resonance mode are obtained:

[0037] in, are 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 the rth frequency resonance mode, respectively. exp(·) represents an exponential function with the natural constant e as the base;

[0038] Finally, the inclination of the steel pipe end face under each frequency resonance mode is calculated

[0039] The specific recognition logic for finally identifying the final value of the steel pipe end face inclination is:

[0040] 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 basic resonance mode, the high-order harmonic mode, the transverse resonance mode and the longitudinal resonance mode are extracted respectively, and marked as θ1, θ2, θ3, θ4 respectively;

[0041] The final value of the steel pipe end face inclination is calculated in are the basic weights of the fundamental resonance mode, the higher harmonic mode, the transverse resonance mode and the longitudinal resonance mode, ζ, ζ′, ζ″, ζ″′ are the preset interaction coefficients between modes, θ in is the slope adjustment term for the interaction effect between resonance modes of different frequencies, θ on The slope adjustment item corresponding to the nonlinear effect of the resonance modes of different frequencies is set;

[0042] θ in =ζ·θ1·θ2+ζ′·θ1·θ3+ζ″·θ2·θ4+ζ″′·θ4·θ3;

[0043]

[0044] Another aspect of the present invention provides an intelligent detection device for geometric dimension data of a steel pipe end, including a processor, a memory and a communication bus;

[0045] The memory stores a computer-readable program executable by the processor;

[0046] The communication bus realizes the connection and communication between the processor and the memory;

[0047] When the processor executes the computer-readable program, it is implemented to implement the intelligent detection system for geometric dimension data of steel pipe ends as described in the present invention.

[0048] 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:

[0049] 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 a plurality of highly sensitive electromagnetic sensors around the steel pipe, the system can capture the resonance frequency change data of each position point corresponding to the steel pipe end face under each frequency resonance mode in real time; analyze the resonance frequency change data to identify the inclination of the steel pipe end face under different frequency resonance modes; and finally identify the final value of the inclination of the steel pipe end face; use high-frequency electromagnetic waves and highly sensitive sensors to detect the inclination of the steel pipe end face, which not only technically realizes the advantages of non-contact, high-precision, and real-time detection, 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 a comprehensive inclination assessment, which not only ensures product quality, but also provides important data support for the optimization of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0051] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention. DETAILED DESCRIPTION

[0052] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described 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 all fall within the protection scope of the present invention.

[0053] Embodiment 1:

[0054] See also Figure 1 As shown, a steel pipe end geometric dimension data intelligent detection system 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, and the above modules are connected by wired and / or wireless connection to realize data transmission between the modules;

[0055] High-frequency electromagnetic field generation module: The system is equipped with a tunable high-frequency electromagnetic wave generator, which uses the high-frequency electromagnetic wave generator to generate an electromagnetic field within a specific frequency range. The electromagnetic field covers the pipe end area of ​​the steel pipe; and a multi-dimensional intelligent electromagnetic sensor array is arranged around the end surface of the steel pipe according to the basic information of the steel pipe;

[0056] It should be further explained that, according to the basic information of the steel pipe, a multi-dimensional intelligent electromagnetic sensor array is arranged around the end face 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;

[0057] The basic information of the steel pipe includes the outer diameter, and the outer diameter of the steel pipe is recorded as D;

[0058] 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;

[0059] 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;

[0060] Synchronous calculation to obtain the layout angle of electromagnetic sensors in the multi-dimensional intelligent electromagnetic sensor array

[0061]

[0062] Multi-point resonance frequency acquisition module: multiple highly sensitive electromagnetic sensors are arranged around the steel pipe to capture the resonance frequency change data of each position point on the end surface of the steel pipe in each frequency resonance mode in real time;

[0063] 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.

[0064] When measuring the inclination of the end face of a steel pipe, the combination of the fundamental resonance mode, the higher harmonic mode, the transverse resonance mode, and the longitudinal resonance mode can provide multi-dimensional detection data, thereby improving the accuracy and reliability of the measurement. The fundamental resonance mode can capture the overall deformation, the higher harmonic mode can identify subtle structural changes, and the transverse and longitudinal resonance modes provide information about the transverse and longitudinal stress distribution, respectively. By combining the data of these modes, the inclination of the end face of the steel pipe can be more accurately evaluated, and potential structural defects can be effectively identified to ensure the quality and safety of the steel pipe. This multi-mode measurement method not only improves the comprehensiveness of the detection, but also enhances the robustness and adaptability of the system.

[0065] 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:

[0066] 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;

[0067] 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;

[0068] The specific calculation formula of the electromagnetic field frequency F1 in the basic resonance mode is: Where μ is the magnetic permeability;

[0069] The electromagnetic field frequency formula under the basic resonance mode is based on the relationship between the elastic modulus and density of the steel pipe, reflecting the natural vibration characteristics of the material. The formula incorporates the influence of the outer diameter and wall thickness, takes into account the influence of magnetic permeability on the electromagnetic field, and ensures an accurate description of the basic vibration characteristics of the steel pipe. The formula can be used to accurately adjust the electromagnetic field frequency to match the natural frequency of the steel pipe, thereby improving detection sensitivity and accuracy.

[0070] Electromagnetic field frequency F in high-order harmonic mode ε The specific calculation formula is: Where ε is the harmonic order;

[0071] The formula for higher harmonic mode frequencies is calculated by multiplying the fundamental frequency, taking into account the effect of the wall thickness to diameter ratio. This method is based on the theory of harmonic vibration and is able to capture higher frequency vibration modes in steel pipes. By analyzing higher harmonics, smaller defects and inhomogeneities can be detected, which is essential to ensure the high quality and safety of steel pipes. Analysis of different harmonic modes can provide more detailed information about the state of the steel pipe, thereby achieving more comprehensive quality control.

[0072] The specific calculation formula of the electromagnetic field frequency F3 in the transverse resonance mode is: Where ν represents Poisson's ratio;

[0073] The transverse resonance mode frequency formula takes into account the elastic modulus, density, Poisson's ratio and magnetic permeability of the material. The inclusion of magnetic permeability reflects the effect of the electromagnetic field on the transverse vibration. The analysis of the transverse resonance mode helps to detect the transverse structural integrity of the steel pipe, especially when detecting transverse deformation caused by external forces or environmental factors. This is very important to ensure the stability and reliability of the steel pipe in practical applications.

[0074] The specific calculation formula of the electromagnetic field frequency F4 in the longitudinal resonance mode is: Where c represents the propagation speed of sound in the steel pipe material.

[0075] The longitudinal resonance mode frequency formula combines the sound velocity and geometric parameters in the material, reflects the longitudinal vibration characteristics of the steel pipe, and can accurately describe the vibration behavior of the steel pipe in the longitudinal direction. It helps to identify longitudinal defects such as cracks or unevenness. By adjusting the electromagnetic field frequency to match the longitudinal resonance, the depth and accuracy of the detection can be improved.

[0076] In the detection system, it is crucial to accurately adjust the electromagnetic field frequency to match different resonance modes. Each mode provides different information about the state of the steel pipe, and comprehensive analysis of these modes can achieve more comprehensive quality control. This not only improves the sensitivity and accuracy of detection, but also effectively reduces the risk of false detection and missed detection, ensuring the safety and reliability of steel pipes in various applications.

[0077] It should be further explained that the resonant frequency change data of each position point of 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 of the steel pipe end surface corresponding to each position point includes the resonant frequency, amplitude, phase and attenuation rate;

[0078] The specific steps to capture the resonant frequency change data of each position point on the steel pipe end surface under each frequency resonance mode are as follows:

[0079] The multi-dimensional intelligent electromagnetic sensor array performs spatial analysis and signal processing on the resonant 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 frequency change data into the resonant frequency change data of each position point corresponding to the end surface of the steel pipe.

[0080] Frequency resonance data identification module: analyzes the resonance frequency change data to identify the inclination of the steel pipe end face under different frequency resonance modes;

[0081] It should be further explained that the inclination of the end face of the steel pipe under different frequency resonance modes is identified. The specific identification process is as follows:

[0082] Obtain the resonance frequency, amplitude, phase and attenuation rate of each position point on the end surface of the steel pipe in each frequency resonance mode and mark them as r is the number of each frequency resonance mode, and r takes the value of 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, the number 4 refers to the number of the longitudinal resonance mode, and g is the number of each position point;

[0083] 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:

[0084] The gradient calculation formula of the amplitude at 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 in the rth frequency resonance mode;

[0085] 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 tube in the rth frequency resonance mode;

[0086] The initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction under each frequency resonance mode are calculated as follows:

[0087]

[0088] In the above formula, are the initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction under the rth frequency resonance mode, respectively. is the resonant frequency weight factor of the g-th position on the end of the steel tube in the r-th frequency resonance mode,

[0089] Based on the attenuation rate of each position point on the end face of the steel pipe in each frequency resonance mode, the initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction in each frequency resonance mode are corrected and calculated respectively, and 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 in each frequency resonance mode are obtained:

[0090] in, are 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 the rth frequency resonance mode, respectively. exp(·) represents an exponential function with the natural constant e as the base;

[0091] Finally, the inclination of the steel pipe end face under each frequency resonance mode is calculated

[0092] 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, combined with the gradient information of amplitude, phase and frequency, to construct a multi-dimensional inclination vector model:

[0093] By calculating the gradient of amplitude and phase, the changing trend of electromagnetic waves at different spatial positions can be captured, and 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. The introduction of the resonant frequency as a weight factor can give higher weights to those 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 the 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 to ensure that the final calculation result is closer to the actual geometric state of the steel pipe.

[0094] Inclination comprehensive analysis module: finally identifies the final value of the steel pipe end face inclination.

[0095] It should be further explained that the specific recognition logic for finally identifying the final value of the inclination of the steel pipe end face is:

[0096] 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 basic resonance mode, the high-order harmonic mode, the transverse resonance mode and the longitudinal resonance mode are extracted respectively, and marked as θ1, θ2, θ3, θ4 respectively;

[0097] The final value of the steel pipe end face inclination is calculated in are the basic weights of the fundamental resonance mode, the higher harmonic mode, the transverse resonance mode and the longitudinal resonance mode, ζ, ζ′, ζ″, ζ″′ are the preset interaction coefficients between modes, θ in is the slope adjustment term for the interaction effect between resonance modes of different frequencies, θ on The slope adjustment item corresponding to the nonlinear effect of the resonance modes of different frequencies is set;

[0098] θ in =ζ·θ1·θ2+ζ′·θ1·θ3+ζ″·θ2·θ4+ζ″′·θ4·θ3;

[0099]

[0100] 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:

[0101] 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 by simple linear superposition. By introducing interaction effect parameters, the dynamic relationship between these modes can be better simulated, and the detection system's ability to adapt to complex environments can be improved;

[0102] θ on The introduction of parameters takes into account the nonlinear effects of each mode at different intensities. In reality, as the intensity of the resonant mode increases, its effect on the tilt may not increase linearly, but may show an accelerating or decelerating trend. By describing this nonlinear effect with a square term, the model can more accurately reflect the various nonlinear phenomena that occur during the actual detection process, thereby improving the accuracy of the tilt calculation.

[0103] The specific steps for obtaining the preset inter-mode interaction coefficients ζ, ζ′, ζ″, ζ″′ are as follows:

[0104] 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 in different resonance modes;

[0105] The tilt of the sample steel pipe in fundamental, higher harmonic, transverse and longitudinal resonance modes was collected;

[0106] Use high-precision instruments to measure the actual inclination value as a reference;

[0107] Using multiple regression analysis, the slope of each mode and the actual slope θ were established. actual The specific calculation formula is as follows:

[0108] θ actual =q1·θ1+q2·θ2+q3·θ3+q4·θ4+ζ·θ1·θ2+ζ′·θ1·θ3

[0109] +ζ″·θ2·θ4+ζ″′·θ4·θ3;

[0110] Wherein 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;

[0111] The least square method is used to adjust the coefficients to minimize the error between the predicted inclination and the actual measured value. Based on the validation results, the interaction coefficients are adjusted to improve the calculation accuracy.

[0112] Each frequency resonance mode (fundamental resonance, higher harmonics, transverse and longitudinal) does not exist in isolation in practical applications. The interaction 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, resulting in 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 through experimental data to ensure that the model can accurately reflect the actual situation; the interaction coefficients between modes improve the accuracy and adaptability of the model by capturing complex physical interactions.

[0113] Embodiment 2:

[0114] An intelligent detection device for geometric dimension data of a steel pipe end, comprising a processor, a memory and a communication bus;

[0115] The memory stores a computer-readable program executable by the processor;

[0116] The communication bus realizes the connection and communication between the processor and the memory;

[0117] When the processor executes the computer-readable program, it is implemented to implement the intelligent detection system for geometric dimension data of steel pipe ends as described in the present invention.

[0118] 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.

[0119] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0120] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0121] 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 protection scope of the present invention.

Claims

1. An intelligent detection system for geometric dimension data of steel pipe ends, characterized in that: include: High-frequency electromagnetic field generation module: The system is equipped with a tunable high-frequency electromagnetic wave generator, which uses the high-frequency electromagnetic wave generator to generate an electromagnetic field within a specific frequency range. The electromagnetic field covers the pipe end area of ​​the steel pipe; and a multi-dimensional intelligent electromagnetic sensor array is arranged around the end surface of the steel pipe according to the basic information of the steel pipe; Multi-point resonance frequency acquisition module: multiple highly sensitive electromagnetic sensors are arranged around the steel pipe to capture the resonance frequency change data of each position point on the end surface of the steel pipe in each frequency resonance mode in real time; Frequency resonance data identification module: analyzes the resonance frequency change data to identify the inclination of the steel pipe end face under different frequency resonance modes; Inclination comprehensive analysis module: finally identifies the final value of the steel pipe end face inclination.

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 surface 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; Synchronous calculation to obtain the layout angle of electromagnetic sensors in the 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: Each frequency resonance mode is specifically divided into a fundamental resonance mode, a higher harmonic mode, a lateral resonance mode and a longitudinal resonance mode.

4. The intelligent detection system for geometric dimension data of steel pipe ends according to claim 3 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-order 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 propagation speed of sound in the steel pipe material.

5. The intelligent detection system for geometric dimension data of steel pipe ends according to claim 1 is characterized in that: Real-time capture of the resonant frequency change data of each position point on the end surface of the steel pipe under each frequency resonance mode, wherein the resonant frequency change data of each position point on the end surface of the steel pipe includes the resonant frequency, amplitude, phase and attenuation rate; The specific steps to capture 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 resonant 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 frequency change data into the resonant frequency change data of each position point corresponding to the end surface of the steel pipe.

6. The intelligent detection system for geometric dimension data of steel pipe ends according to claim 1 is characterized in that: 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 surface of the steel pipe in each frequency resonance mode and mark them as r is the number of each frequency resonance mode, and r takes the value of 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, the number 4 refers to the number of the longitudinal resonance mode, and 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 of the amplitude at 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 in 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 in the rth frequency resonance mode; The initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction under each frequency resonance mode are calculated as follows: In the above formula, are the initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction under the rth frequency resonance mode, respectively. is the resonant frequency weight factor of the g-th position on the end of the steel tube in the r-th frequency resonance mode, Based on the attenuation rate of each position point on the end face of the steel pipe in each frequency resonance mode, the initial inclination vector component of the steel pipe end face in the horizontal direction and the initial inclination vector component in the vertical direction in each frequency resonance mode are corrected and calculated respectively, and 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 in each frequency resonance mode are obtained: in, are 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 the rth frequency resonance mode, respectively. exp(·) represents an 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 7. The intelligent detection system for geometric dimension data of steel pipe ends according to claim 1 is characterized in that: 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 basic resonance mode, the high-order harmonic mode, the transverse resonance mode and the longitudinal resonance mode are extracted respectively, and marked as θ1, θ2, θ3, θ4 respectively; The final value of the steel pipe end face inclination is calculated in are the basic weights of the fundamental resonance mode, the higher harmonic mode, the transverse resonance mode and the longitudinal resonance mode, ζ, ζ′, ζ″, ζ″′ are the preset interaction coefficients between modes, θ in is the slope adjustment term for the interaction effect between resonance modes of different frequencies, θ on The slope adjustment item corresponding to the nonlinear effect of the resonance modes of different frequencies is set; i in =ζ·θ1·θ2+ζ′·θ1·θ3+ζ″·θ2·θ4+ζ″′·θ4·θ3; 8. An intelligent detection device for geometric dimension data of steel pipe ends, characterized in that: 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 7, 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 is implemented to implement the intelligent detection system for geometric dimension data of steel pipe ends as described in any one of claims 1-7.

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