Bridge cable broken wire quantification method based on circumferential ratio parameter model of magnetic flux leakage field

Abstract

The application belongs to the technical field of cable detection, and specifically discloses a bridge cable broken wire quantification method based on a leakage magnetic field circumferential ratio parameter model, which comprises the following steps: acquiring a multi-channel leakage magnetic field signal of a to-be-detected cable detected by a detection probe; the detection probe comprises a plurality of detection units arranged at equal angles along the circumference of the to-be-detected cable; each detection unit comprises a plurality of magnetic sensitive elements arranged in a radial gradient along the to-be-detected cable; selecting adjacent detection units corresponding to the maximum peak value and the second maximum peak value of the leakage magnetic field signal of any layer detection channel as a target detection unit pair; taking the multi-channel leakage magnetic field signal acquired by the target detection unit pair at a target detection position as a peak value feature; determining a circumferential ratio parameter of the target detection unit pair based on the ratio of the peak value features of the same layer detection channel; the target detection position is a detection position of the detection probe when the maximum peak value is detected; and the circumferential ratio parameter is brought into a circumferential ratio parameter model for solving to determine a broken wire inversion parameter of the to-be-detected cable.

Description

Technical Field

[0001] The present application belongs to the field of cable detection technology, and more specifically, relates to a bridge cable broken wire quantification method based on a leakage magnetic field circumferential ratio parameter model. Background Art

[0002] As the primary load-bearing structure of cable-stayed and suspension bridges, bridge cables are primarily composed of parallel steel wire bundles within an opaque, high-density polyethylene sheath. The cables are subjected to constant alternating loads and erosion from natural factors such as wind, sunlight, and rain. The sheathing is susceptible to damage, which in turn causes corrosion and fracture of the internal steel wires. Cable damage can significantly shorten the actual service life of a bridge. Therefore, regular and comprehensive inspections of in-service bridge cables using appropriate methods to monitor their health during service can, to a certain extent, prevent potentially catastrophic accidents.

[0003] Current broken wire inversion methods primarily utilize the peak characteristics of the detection signal, inferring the fracture size or location information based on the forward model and signal characteristics. However, the signal peak is susceptible to the combined influence of factors such as the fracture width, the radial and circumferential distribution of the broken wire within the cable, the magnetization degree of the specimen, and the sensor lift-off distance. Changes in any of these factors can cause peak variations. To address inversion errors caused by changes in detection conditions (such as replacing or adjusting the magnetizer, or adjusting the sensor lift-off distance), Ck115236175A proposed a method for constructing a fracture width inversion model based on ratio characteristic parameters. This model assumes that the fracture occurs radially directly below the sensor array. However, in actual testing, it is impossible to arrange an infinite number of sensor array modules circumferentially around the cable, resulting in inaccurate fracture width inversion results. Summary of the Invention

[0004] In response to the above-mentioned defects in the related art, an embodiment of the present application provides a bridge cable broken wire quantification method based on a leakage magnetic field circumferential ratio parameter model.

[0005] In a first aspect, an embodiment of the present application provides a bridge cable broken wire quantification method based on a leakage magnetic field circumferential ratio parameter model, comprising:

[0006] Acquire a multi-channel leakage magnetic field signal of the cable to be tested detected by a detection probe, wherein the detection probe includes a plurality of detection units arranged at equal angles along the circumference of the cable to be tested, and each detection unit includes a plurality of magnetic sensitive elements arranged along a radial gradient of the cable to be tested, wherein the detection channels corresponding to the magnetic sensitive elements at the same distance from the surface of the cable to be tested in each detection unit are the same layer of detection channels;

[0007] The adjacent detection units corresponding to the maximum peak value and the second maximum peak value of the leakage magnetic field signal of any layer detection channel are selected as the target detection unit pair;

[0008] The multi-channel leakage magnetic field signal obtained by the target detection unit pair at the target detection position is used as the peak feature of the target detection unit pair. The circumferential ratio parameter of the target detection unit pair is determined based on the ratio of the peak features of the detection channels in the same layer. The target detection position is the detection position where the detection probe is located when the maximum peak is detected.

[0009] The circumferential ratio parameters are substituted into the circumferential ratio parameter model for solution to determine the broken wire inversion parameters of the cable to be tested. The circumferential ratio parameter model is used to characterize the nonlinear relationship between the circumferential ratio parameters and the broken wire inversion parameters. The broken wire inversion parameters include the angle between the target detection unit pair and the broken wire center relative to the cable center, the distance between the broken wire center and the cable center, the fracture width of the broken wire, and the lift-off distance of the magnetic sensitive element.

[0010] In some embodiments, the circumferential ratio parameter model satisfies:

[0011]

[0012] Among them, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mk is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)k is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, w is the fracture width of the broken wire, Ф is the diameter of the broken wire, R is the radius of the cable to be tested, l a is the lifting distance of the magnetic sensitive element, l k (k=1,…,K-1, K is the number of magnetic sensitive elements in the detection unit) is the spacing between the kth magnetic sensitive element to the k+1th magnetic sensitive element in the detection unit, OP is the distance between the center of the broken wire and the center of the cable, α is the angle between the target detection unit pair and the cable center, and β is the angle between any detection unit in the target detection unit pair and the center of the broken wire relative to the cable center.

[0013] In some embodiments, the circumferential ratio parameter of the target detection unit pair is determined to satisfy the following calculation formula:

[0014]

[0015] Among them, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mk is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)kBx is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, mk Bx is the leakage magnetic field signal detected by the kth magnetic sensitive element in the mth detection unit at the target detection position, (m+1)k is the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit at the target detection position.

[0016] In some embodiments, determining a circumferential ratio parameter of a pair of target detection units based on a ratio of peak features of detection channels in the same layer includes:

[0017] At least four circumferential ratio parameters of the target detection unit pair are determined based on the ratios of the peak features of at least four layers of detection channels.

[0018] In some embodiments, each detection unit includes four magnetic sensitive elements arranged along a radial gradient of the cable to be tested.

[0019] In some embodiments, the selected detection channel is a detection channel corresponding to a magnetic sensitive element in each detection unit that is closest to the surface of the cable to be detected.

[0020] In a second aspect, the present application also provides a bridge cable broken wire quantification device based on a leakage magnetic field circumferential ratio parameter model, comprising:

[0021] an acquisition module, configured to acquire a multi-channel leakage magnetic field signal of the cable to be tested detected by a detection probe, wherein the detection probe includes a plurality of detection units arranged at equal angles along the circumference of the cable to be tested, and each detection unit includes a plurality of magnetic sensitive elements arranged along a radial gradient of the cable to be tested, wherein the detection channels corresponding to the magnetic sensitive elements in each detection unit that are at the same distance from the surface of the cable to be tested are detection channels of the same layer;

[0022] A selection module is used to select adjacent detection units corresponding to the maximum peak value and the second maximum peak value of the leakage magnetic field signal of any layer detection channel as a target detection unit pair;

[0023] A first determination module is configured to determine a circumferential ratio parameter of the target detection unit pair based on a ratio of peak characteristics of detection channels in the same layer, using a multi-channel leakage magnetic field signal obtained by the target detection unit pair at a target detection position as a peak characteristic of the target detection unit pair; the target detection position is a detection position where the detection probe is located when a maximum peak is detected;

[0024] The second determination module is used to bring the circumferential ratio parameters into the circumferential ratio parameter model for solution, and determine the broken wire inversion parameters of the cable to be tested. The circumferential ratio parameter model is used to characterize the nonlinear relationship between the circumferential ratio parameters and the broken wire inversion parameters. The broken wire inversion parameters include the angle between the target detection unit and the broken wire center relative to the cable center, the distance between the broken wire center and the cable center, the broken wire fracture width and the lifting distance of the magnetic sensitive element.

[0025] In some embodiments, the circumferential ratio parameter model satisfies:

[0026]

[0027] Among them, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mk is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)k is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, w is the fracture width of the broken wire, Ф is the diameter of the broken wire, R is the radius of the cable to be tested, l a is the lifting distance of the magnetic sensitive element, l k (k=1,…,K-1, K is the number of magnetic sensitive elements in the detection unit) is the spacing between the kth magnetic sensitive element to the k+1th magnetic sensitive element in the detection unit, OP is the distance between the center of the broken wire and the center of the cable, α is the angle between the target detection unit pair and the cable center, and β is the angle between any detection unit in the target detection unit pair and the center of the broken wire relative to the cable center.

[0028] In some embodiments, the circumferential ratio parameter of the target detection unit pair is determined to satisfy the following calculation formula:

[0029]

[0030] Among them, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mk is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)k Bx is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, mk Bx is the leakage magnetic field signal detected by the kth magnetic sensitive element in the mth detection unit at the target detection position, (m+1)kis the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit at the target detection position.

[0031] In some embodiments, determining a circumferential ratio parameter of a pair of target detection units based on a ratio of peak features of detection channels in the same layer includes:

[0032] At least four circumferential ratio parameters of the target detection unit pair are determined based on the ratios of the peak features of at least four layers of detection channels.

[0033] In some embodiments, each detection unit includes four magnetic sensitive elements arranged along a radial gradient of the cable to be tested.

[0034] In some embodiments, the selected detection channel is a detection channel corresponding to a magnetic sensitive element in each detection unit that is closest to the surface of the cable to be detected.

[0035] In a third aspect, an embodiment of the present application further provides an electronic device, comprising: at least one memory for storing programs; and at least one processor for executing the programs stored in the memory. When the program stored in the memory is executed, the processor is used to execute the method described in the first aspect or any possible implementation of the first aspect.

[0036] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program runs on a processor, the processor executes the method described in the first aspect or any possible implementation of the first aspect.

[0037] In a fifth aspect, an embodiment of the present application further provides a computer program product, which, when running on a processor, enables the processor to execute the method described in the first aspect or any possible implementation of the first aspect.

[0038] The embodiment of the present application provides a bridge cable broken wire quantification method based on the leakage magnetic field circumferential ratio parameter model. The peak value of the broken wire multi-channel leakage magnetic field signal obtained by the detection probe is used to select a target detection unit pair, and the target detection unit is used to solve the circumferential ratio parameter of the multi-channel leakage magnetic field detection signal detected at the peak detection position, so as to reversely solve the broken wire inversion parameter using the circumferential ratio parameter model, thereby realizing broken wire quantification. The circumferential ratio parameter model integrates broken wire inversion parameters such as fracture width, radial and circumferential position of the broken wire, and lifting distance of the magnetic sensitive element, and the circumferential ratio parameter model does not include magnetization-related parameters, thereby eliminating the influence of specimen magnetization fluctuation on the inversion result. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in this application or related technologies, the following is a brief introduction to the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0040] Figure 1 1 is a flow chart of a bridge cable broken wire quantification method based on a leakage magnetic field circumferential ratio parameter model provided in an embodiment of the present application;

[0041] Figure 2 This is a schematic diagram of detecting broken wires in bridge cables using a detection probe according to an embodiment of the present application;

[0042] Figure 3 Schematic diagram of a broken wire signal obtained by a detection unit provided in an embodiment of the present application;

[0043] Figure 4 This is a cross-sectional schematic diagram of performing magnetic flux leakage detection on a single broken wire in a cable to be tested, as provided in an embodiment of the present application;

[0044] Figure 5 This is a schematic diagram of the relationship between CRAP and the broken wire inversion parameter provided in the embodiment of the present application;

[0045] Figure 6 Schematic diagram of the structure of a bridge cable broken wire quantification device based on a leakage magnetic field circumferential ratio parameter model provided in an embodiment of the present application;

[0046] Figure 7 is a schematic structural diagram of an electronic device provided in an embodiment of the present application;

[0047] Throughout the drawings, the same reference numerals are used to denote the same elements or structures, wherein:

[0048] 1. Cable; 2. Magnetic leakage signal detection circuit board; 3. Magnetic sensitive element; 4. Broken wire; 5. Magnetizer. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0050] Figure 1 : is a flow chart of a bridge cable broken wire quantification method based on a leakage magnetic field circumferential ratio parameter model provided in an embodiment of the present application, such as Figure 1 As shown, the method includes at least the following steps:

[0051] S101: Acquire a multi-channel leakage magnetic field signal of a cable to be tested detected by a detection probe.

[0052] The detection probe includes multiple detection units arranged at equal angles along the circumference of the cable to be tested, and each detection unit includes multiple magnetic sensitive elements arranged in a gradient pattern along the radial direction of the cable to be tested. Optionally, the multiple magnetic sensitive elements in each detection unit are arranged in a gradient pattern with equal spacing along the radial direction of the cable to be tested. The number of magnetic sensitive elements in each detection unit is K.

[0053] Each magnetic sensor corresponds to one detection channel. The detection channels corresponding to the magnetic sensors at the same distance from the surface of the cable to be tested in each detection unit are the same layer of detection channels. For example, the detection channels corresponding to the kth magnetic sensor in each detection unit constitute the kth layer of detection channels.

[0054] Figure 2 Schematic diagram of detecting broken wires in bridge cables using a detection probe according to an embodiment of the present application. Figure 2 As shown, the detection probe adopts an annular detection probe, which includes a magnetizer 5 and a leakage magnetic field signal detection circuit board 2. The multi-channel leakage magnetic field signal near the broken wire 4 is obtained through the magnetic sensitive elements 3 arranged at equal intervals in the radial direction and at equal angles in the circumferential direction of the cable 1 on the leakage magnetic field detection circuit board 2.

[0055] S102 , selecting adjacent detection units corresponding to the maximum peak value and the second maximum peak value of the leakage magnetic field signal of any layer of the detection channel as a target detection unit pair.

[0056] Specifically, considering that it is impossible to arrange an infinite number of magnetic sensitive element array modules (detection units) around the cable in actual detection to ensure that the fracture occurs radially directly below the magnetic sensitive element array module, in order to obtain more accurate broken wire inversion results, the situation where the broken wire is distributed between two magnetic sensitive element array modules around the cable should be considered. Multiple detection units are arranged at equal angles along the circumference of the cable to complete the circumferential coverage of the cable, where the signal amplitude output by the detection unit closer to the broken wire position is greater. Therefore, the adjacent detection units corresponding to the maximum peak and the second largest peak of the leakage magnetic field signal of any layer of detection channel are selected as the target detection unit pair, and the broken wire position should be located in the fan-shaped area formed by the detection position of the target detection unit pair at this time and the cable center.

[0057] Furthermore, within the same detection unit, the closer the magnetic sensor is to the broken wire location, the greater the signal amplitude outputted by the magnetic sensor. Optionally, the selected detection channel in any layer is the detection channel corresponding to the magnetic sensor closest to the surface of the cable to be tested in each detection unit, and the leakage magnetic field signal detected by the magnetic sensor closest to the surface of the cable to be tested in each detection unit is the leakage magnetic field signal of the detection channel in any layer.

[0058] Figure 3Schematic diagram of a broken wire signal obtained by a detection unit provided in an embodiment of the present application. Figure 3 As shown, the detection unit includes four magnetic sensitive elements arranged at equal intervals along the radial direction of the cable to be tested, and the spacing between the magnetic sensitive element k and the magnetic sensitive element (k+1) is l k (k = 1, ..., K-1, where K is the number of magnetic sensors in the detection unit). The fracture width of a broken wire is w, the diameter of the broken wire is Φ, and g = w + Φ. The magnetic charge model is used to calculate the leakage magnetic field signal of a single broken wire. The signal amplitude output by the detection unit closer to the broken wire is larger, and the signal amplitude detected by the magnetic sensors closer to the broken wire in the detection unit is also larger. Therefore, the adjacent detection units with the largest and second largest peaks in the first-layer detection channel closest to the surface of the cable to be tested are selected as the target detection unit pair.

[0059] S103 , using the multi-channel leakage magnetic field signal obtained by the target detection unit pair at the target detection position as the peak feature of the target detection unit pair, and determining the circumferential ratio parameter of the target detection unit pair based on the ratio of the peak features of the detection channels in the same layer.

[0060] The target detection position is the detection position where the detection probe is located when the maximum peak value is detected.

[0061] Specifically, a plurality of circumferential ratio parameters of the target detection unit pair are determined by using the multi-channel leakage magnetic field signal detected by the target detection unit pair at the target detection position. The target detection position is the detection position where the detection probe is located when the maximum peak is detected. The target detection unit pair is divided into a first detection unit corresponding to the maximum peak and a second detection unit corresponding to the second largest peak; at the target detection position, the leakage magnetic field signal output by each magnetic sensitive element in the first detection unit is the maximum leakage magnetic field signal output by each magnetic sensitive element during the scanning process, and the leakage magnetic field signal output by each magnetic sensitive element in the second detection unit is also the maximum leakage magnetic field signal output by each magnetic sensitive element during the scanning process. Therefore, the multi-channel leakage magnetic field signal obtained by the target detection unit pair at the target detection position is used as the peak feature of the target detection unit pair, and the circumferential ratio parameter is calculated based on the peak features of the two detection units.

[0062] A detection unit includes K magnetic sensitive elements, and the target detection unit detects a total of 2K leakage magnetic field signals at the target detection position, and can determine at most K circumferential ratio parameters.

[0063] Optionally, S103 specifically satisfies:

[0064]

[0065] Among them, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mkis the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)k Bx is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, mk Bx is the leakage magnetic field signal detected by the kth magnetic sensitive element in the mth detection unit at the target detection position, (m+1)k is the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit at the target detection position.

[0066] S104: Substitute the circumferential ratio parameter into the circumferential ratio parameter model for solution to determine the broken wire inversion parameter of the cable to be tested.

[0067] Among them, the circumferential ratio parameter model is used to characterize the nonlinear relationship between the circumferential ratio parameter and the broken wire inversion parameter.

[0068] Specifically, after calculating the circumferential ratio parameters of the target detection unit pair, they are brought into the circumferential ratio parameter model used to characterize the nonlinear relationship between the circumferential ratio parameters and the broken wire inversion parameters for reverse solution, thereby obtaining the broken wire inversion parameters of the cable to be tested.

[0069] Figure 4 : is a cross-sectional schematic diagram of a magnetic flux leakage detection for a single broken wire in a cable to be tested provided by an embodiment of the present application, such as Figure 4 As shown, the section is located on the fracture symmetry plane, which is also defined as the inversion plane. Figure 4 The large circle in the figure is the cable cross section. All points around the cable are magnetic sensitive elements. Points distributed equidistantly along the circumference of the cable surface constitute a detection unit. Multiple detection units are arranged at equal angles α along the circumference of the cable. The magnetic sensitive elements in each detection unit are equidistantly spaced l along the radial direction of the cable. k Layout.

[0070] The broken wire with a diameter of Φ is located in the fan-shaped area formed by the mth detection unit, the m+1th detection unit, and the center of the cable. The angle between the broken wire center P and the mth detection unit is β. The distance between the center of the broken wire and the center of the cable is OP, and the radius of the cable is R. Therefore, the buried depth of the broken wire is R-OP. The magnetic sensitive elements in the detection unit are arranged along the radial gradient of the cable. The first to fourth magnetic sensitive elements in the mth detection unit are marked as S according to the order from the closest to the cable surface. m1 ~S m4 The straight-line distance between the broken wire and each magnetic sensitive element is PS m1 ~PS m4 .

[0071] Combine Figure 4It can be seen that the distance PS between each magnetic sensitive element and the broken wire in the mth detection unit is mk satisfy:

[0072]

[0073] The distance PS between each magnetic sensitive element and the broken wire in the m+1th detection unit (m+1)k satisfy:

[0074]

[0075] Among them, k is the serial number of the magnetic sensitive element, l a is the distance between the magnetic sensitive element closest to the cable to be tested and the surface of the cable to be tested, that is, the lifting distance of the magnetic sensitive element, l k (k=1, ..., K-1) is the distance between the kth magnetic sensitive element and the k+1th magnetic sensitive element in the detection unit.

[0076] Inversion plane magnetic sensor S mk and S (m+1)k Detected leakage magnetic field signal Bx mk and Bx (m+1)k The expression is as follows:

[0077]

[0078]

[0079] Where μ0 is the vacuum magnetic permeability, Q is the point magnetic charge of equal value distributed on both sides of the fracture, and g is the sum of the broken wire diameter Ф and the fracture width w.

[0080] The broken wire with a diameter of Ф is located in the fan-shaped area formed by the mth detection unit, the m+1th detection unit and the cable center. The magnetic sensitive element S in the inversion plane mk and S (m+1)k Detected leakage magnetic field signal Bx mk and Bx (m+1)k , when the value of k is fixed, they should be the maximum peak value and the second maximum peak value of the leakage magnetic field signal detected by the detection probe in channel k, that is, the peak characteristic PV mk and PV (m+1)k The expression is as follows:

[0081]

[0082]

[0083] Thus, the circumferential ratio parameter CRAP is calculated mk for:

[0084]

[0085] Furthermore, PS mk and PS (m+1)k By substituting the expression into , we can get the circumferential ratio parameter model:

[0086]

[0087] It can be seen from this that the circumferential ratio parameter CRAP of the mth detection unit and the m+1th detection unit is mk Parameters of broken wire inversion: w, l a , there is a complex nonlinear relationship between OP and β. Figure 5 is a schematic diagram of the relationship between CRAP and the change of broken wire inversion parameters provided in the embodiment of the present application, such as Figure 5 As shown, it can be seen that CRAP and broken wire inversion parameters: w, l a , OP and β show a certain nonlinear relationship.

[0088] Pass at least 4 CRAPs mk The broken wire inversion parameters w, l2, OP, and β can be solved by taking the value of . Furthermore, the circumferential ratio parameter model does not include the point magnetic charge Q, which is distributed at equal values ​​on both sides of the fracture. This parameter is related to the cable magnetization state, and its exclusion from the model effectively eliminates the influence of cable magnetization on the inversion characteristic quantities.

[0089] It can be imagined that since CRAP represents the characteristic quantity of two adjacent detection units at a certain circumferential angle of the broken wire center, in actual implementation, the target detection unit pair can be extended to adjacent detection units at any circumferential angle position. However, since it can be determined that the broken wire center is located in the fan-shaped area formed by the two detection units corresponding to the maximum peak and the second largest peak and the cable center, selecting the two detection units corresponding to the maximum peak and the second largest peak as the target detection unit pair is more conducive to locating the broken wire position.

[0090] Furthermore, it can be seen from the circumferential ratio parameter model that it contains four unknown values, namely the broken wire inversion parameters: w, l a , OP and β. In order to accurately solve these four broken wire inversion parameters, at least four known CRAP mk , that is, the value of k is at least 4. Optionally, each detection unit includes 4 magnetic sensitive elements arranged along the radial gradient of the cable to be tested, and the value of k is 1 to 4.

[0091] Optionally, S103 specifically includes:

[0092] At least four circumferential ratio parameters of the target detection unit pair are determined based on the ratios of the peak features of at least four layers of detection channels.

[0093] Specifically, the detection channels corresponding to the magnetic sensitive elements at the same distance from the surface of the cable to be tested in different detection units are defined as the same layer of detection channels. For example, if the detection unit includes K magnetic sensitive elements, the detection probe has a total of K layers of detection channels.

[0094] The multi-channel magnetic leakage detection signal of at least four layers of detection channels of the target detection unit pair at the target detection position is used as the peak feature of the target detection unit pair, that is, at least four groups of peak features are obtained, thereby determining at least four circumferential ratio parameters of the target detection unit pair.

[0095] The embodiment of the present application provides a bridge cable broken wire quantification method based on the leakage magnetic field circumferential ratio parameter model. The peak value of the broken wire multi-channel leakage magnetic field signal obtained by the detection probe is used to select a target detection unit pair, and the target detection unit is used to solve the circumferential ratio parameter of the multi-channel leakage magnetic field detection signal detected at the peak detection position, so as to reversely solve the broken wire inversion parameter using the circumferential ratio parameter model, thereby realizing broken wire quantification. The circumferential ratio parameter model integrates broken wire inversion parameters such as fracture width, radial and circumferential position of the broken wire, and lifting distance of the magnetic sensitive element, and the circumferential ratio parameter model does not include magnetization-related parameters, thereby eliminating the influence of specimen magnetization fluctuation on the inversion result.

[0096] The technical solution provided in the embodiment of the present application is further illustrated below with a specific example.

[0097] Combine Figure 4 The cable specification is 77mm (PES7-61), the outer diameter of the cable is 77mm, and each detection unit is arranged at an equal angle α=18° along the circumference of the cable. The magnetic sensitive elements in each detection unit are equally spaced along the radial direction of the cable. k =4mm gradient layout, the extension lines of the magnetic sensitive elements in each detection unit converge at the center of the cable with a radius of R = 38.5mm. A broken wire appears in the cable with a diameter of Φ = 7mm. The distance between the broken wire center P and the cable center O is OP. The broken wire center is located in the fan-shaped area formed by the two groups of detection units and the cable center. The first four magnetic sensitive elements from the nearest to the farthest distance from the cable surface in the first detection unit are marked as S 11 、S 12 、S 13 and S 14 The straight-line distance between the broken wire center and each magnetic sensitive element is PS 11 、PS 12 、PS 13 and PS 14 ; Mark the first four magnetic sensors in the second detection unit from the nearest to the farthest distance from the cable surface as S 21 、S 22 、S 23 and S 24, the linear distance between the broken wire center and each magnetic sensitive element is PS 21 , PS 22 , PS 23 , and PS 24 .

[0098] Taking the first magnetic sensitive element closest to the cable surface as an example, the expressions of PS 11 and PS 21 are as follows:

[0099]

[0100] Therefore, the magnetic leakage field signals Bx 11 and Bx 21 detected by the magnetic sensitive elements S 11 and S 21 in the inversion plane have the following expressions:

[0101]

[0102]

[0103] Wherein:

[0104] g = w + Ф

[0105] The expressions of the corresponding peak values PV 11 and PV 21 are as follows:

[0106]

[0107]

[0108] Thus, the circumferential ratio parameter CRAP 11 is calculated as:

[0109]

[0110] According to similar calculation methods, CRAP 12 , CRAP 13 , and CRAP 14 can be obtained, and the expressions are as follows:

[0111]

[0112]

[0113]

[0114] Wherein:

[0115]

[0116]

[0117]

[0118]

[0119]

[0120]

[0121] The CRAP calculated based on the peak characteristics 11 CRAP 12 CRAP 13 and CRAP 14 By bringing the circumferential ratio parameter into the model, the broken wire inversion parameters can be solved.

[0122] Figure 6 Schematic diagram of the structure of the bridge cable broken wire quantification device based on the leakage magnetic field circumferential ratio parameter model provided in the embodiment of the present application, such as Figure 6 As shown, the device at least includes:

[0123] An acquisition module 601 is configured to acquire a multi-channel leakage magnetic field signal of the cable under test detected by a detection probe. The detection probe includes a plurality of detection units arranged at equal angles along the circumference of the cable under test. Each detection unit includes a plurality of magnetic sensitive elements arranged along a radial gradient along the cable under test. Detection channels corresponding to magnetic sensitive elements in each detection unit that are at the same distance from the surface of the cable under test are considered to be detection channels of the same layer.

[0124] A selection module 602 is configured to select adjacent detection units corresponding to the maximum peak value and the second maximum peak value of the leakage magnetic field signal of any layer detection channel as a target detection unit pair;

[0125] A first determining module 603 is configured to determine a circumferential ratio parameter of the target detection unit pair based on a ratio of peak characteristics of detection channels in the same layer, using a multi-channel leakage magnetic field signal obtained by the target detection unit pair at a target detection position as a peak feature of the target detection unit pair. The target detection position is the detection position where the detection probe is located when the maximum peak is detected.

[0126] The second determination module 604 is used to bring the circumferential ratio parameters into the circumferential ratio parameter model for solution to determine the broken wire inversion parameters of the cable to be tested. The circumferential ratio parameter model is used to characterize the nonlinear relationship between the circumferential ratio parameters and the broken wire inversion parameters. The broken wire inversion parameters include the angle between the target detection unit and the broken wire center relative to the cable center, the distance between the broken wire center and the cable center, the broken wire fracture width and the lifting distance of the magnetic sensitive element.

[0127] In some embodiments, the circumferential ratio parameter model satisfies:

[0128]

[0129] Among them, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mk is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)k is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, w is the fracture width of the broken wire, Ф is the diameter of the broken wire, R is the radius of the cable to be tested, l a is the lifting distance of the magnetic sensitive element, l k (k=1,…,K-1, K is the number of magnetic sensitive elements in the detection unit) is the spacing between the kth magnetic sensitive element to the k+1th magnetic sensitive element in the detection unit, OP is the distance between the center of the broken wire and the center of the cable, α is the angle between the target detection unit pair and the cable center, and β is the angle between any detection unit in the target detection unit pair and the center of the broken wire relative to the cable center.

[0130] In some embodiments, the circumferential ratio parameter of the target detection unit pair is determined to satisfy the following calculation formula:

[0131]

[0132] Among them, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mn is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)k Bx is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, mk Bx is the leakage magnetic field signal detected by the kth magnetic sensitive element in the mth detection unit at the target detection position, (m+1)k is the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit at the target detection position.

[0133] In some embodiments, the first determining module 603 is specifically configured to:

[0134] At least four circumferential ratio parameters of the target detection unit pair are determined based on the ratios of the peak features of at least four layers of detection channels.

[0135] In some embodiments, each detection unit includes four magnetic sensitive elements arranged along a radial gradient of the cable to be tested.

[0136] In some embodiments, the selected detection channel is a detection channel corresponding to a magnetic sensitive element in each detection unit that is closest to the surface of the cable to be detected.

[0137] It is understandable that the detailed functional implementation of each of the above units / modules can be found in the introduction of the aforementioned method embodiment, and will not be repeated here.

[0138] It should be understood that the above-mentioned device is used to execute the method in the above-mentioned embodiment. The implementation principle and technical effect of the corresponding program module in the device are similar to those described in the above-mentioned method. The working process of the device can refer to the corresponding process in the above-mentioned method and will not be repeated here.

[0139] Based on the methods described in the above embodiments, embodiments of the present application provide an electronic device. The device may include: at least one memory for storing programs and at least one processor for executing the programs stored in the memory. When the programs stored in the memory are executed, the processor is configured to execute the methods described in the above embodiments.

[0140] Figure 7 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application, such as Figure 7 As shown, the electronic device may include: a processor 701, a communication interface 702, a memory 703, and a communication bus 704, wherein the processor 701, the communication interface 702, and the memory 703 communicate with each other via the communication bus 704. The processor 701 may call software instructions in the memory 703 to execute the methods described in the above embodiments.

[0141] In addition, the logic instructions in the above-mentioned memory 703 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the relevant technology, or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of each embodiment of the present application.

[0142] Based on the method in the above embodiments, the embodiments of the present application provide a computer readable storage medium, which stores a computer program. When the computer program is run on a processor, the processor executes the method in the above embodiments.

[0143] Based on the method in the above embodiments, the embodiments of the present application provide a computer program product, which, when run on a processor, causes the processor to execute the method in the above embodiments.

[0144] It can be understood that the processor in the embodiments of the present application can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0145] The method steps in the embodiments of the present application can be implemented by means of hardware, or by means of the processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in a random access memory (RAM), a flash memory, a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically EPROM (EEPROM), a register, a hard disk, a mobile hard disk, a CD-ROM or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor, so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an ASIC.

[0146] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions can be stored in or transmitted by a computer readable storage medium. The computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through a wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) manner. The computer readable storage medium can be any available medium accessible by a computer or a data storage device such as a server, data center, etc. integrated with one or more available media sets. The available media can be a magnetic medium (such as a floppy disk, a hard disk, a magnetic tape), an optical medium (such as a DVD), or a semiconductor medium (such as a solid state disk (SSD)), etc.

[0147] It can be understood that various numerical numbers involved in the embodiments of the present application are only distinguished for convenience of description, and are not used to limit the scope of the embodiments of the present application.

[0148] Those skilled in the art easily understand that the above only describes the preferred embodiments of the present application and is not used to limit the present application. Any modification, equivalent replacement and improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A bridge cable broken wire quantification method based on the leakage magnetic field circumferential ratio parameter model, characterized in that: include: Acquire a multi-channel leakage magnetic field signal of the cable to be tested detected by a detection probe, wherein the detection probe includes a plurality of detection units arranged at equal angles along the circumference of the cable to be tested, each detection unit includes a plurality of magnetic sensitive elements arranged along a radial gradient of the cable to be tested, and detection channels corresponding to magnetic sensitive elements at the same distance from the surface of the cable to be tested in each detection unit are detection channels on the same layer; The adjacent detection units corresponding to the maximum peak value and the second maximum peak value of the leakage magnetic field signal of any layer detection channel are selected as the target detection unit pair; The multi-channel magnetic field leakage signal obtained by the target detection unit pair at the target detection position is used as the peak characteristic of the target detection unit pair, and the circumferential ratio parameter of the target detection unit pair is determined based on the ratio of the peak characteristics of the detection channels in the same layer. The target detection position is the detection position where the detection probe is located when the maximum peak is detected. The circumferential ratio parameter is substituted into the circumferential ratio parameter model for solution to determine the broken wire inversion parameter of the cable to be tested. The circumferential ratio parameter model is used to characterize the nonlinear relationship between the circumferential ratio parameter and the broken wire inversion parameter. The broken wire inversion parameter includes the angle between the target detection unit and the broken wire center relative to the cable center, the distance between the broken wire center and the cable center, the fracture width of the broken wire and the lifting distance of the magnetic sensitive element.

2. The bridge cable broken wire quantification method based on the leakage magnetic field circumferential ratio parameter model according to claim 1 is characterized in that: The circumferential ratio parameter model satisfies: Wherein, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mk is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)k is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, w is the fracture width of the broken wire, Ф is the diameter of the broken wire, R is the radius of the cable to be tested, l a is the lifting distance of the magnetic sensitive element, l k is the distance between the kth magnetic sensitive element and the k+1th magnetic sensitive element in the detection unit, k=1,…,K-1, K is the number of magnetic sensitive elements in the detection unit, OP is the distance between the center of the broken wire and the center of the cable, α is the angle between the target detection unit pair and the cable center, and β is the angle between any detection unit in the target detection unit pair and the center of the broken wire relative to the cable center.

3. The bridge cable broken wire quantification method based on the leakage magnetic field circumferential ratio parameter model according to claim 1 is characterized in that: The circumferential ratio parameter of the target detection unit pair is determined to satisfy the following calculation formula: Wherein, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mk is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the k-th magnetic sensitive element in the m-th detection unit, is the peak characteristic of the leakage magnetic field signal detected by the k-th magnetic sensitive element in the m+1-th detection unit, mk Bx is the leakage magnetic field signal detected by the kth magnetic sensitive element in the mth detection unit at the target detection position, （m+1）k is the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit at the target detection position.

4. The bridge cable broken wire quantification method based on the leakage magnetic field circumferential ratio parameter model according to claim 1 is characterized in that: The determining of the circumferential ratio parameter of the target detection unit pair based on the ratio of the peak features of the detection channels in the same layer includes: At least four circumferential ratio parameters of the target detection unit pair are determined based on the ratios of the peak features of at least four layers of detection channels.

5. The bridge cable broken wire quantification method based on the leakage magnetic field circumferential ratio parameter model according to claim 4 is characterized in that: Each detection unit includes four magnetic sensitive elements arranged along the radial gradient of the cable to be tested.

6. The bridge cable broken wire quantification method based on the leakage magnetic field circumferential ratio parameter model according to claim 1 is characterized in that: The selected detection channel is a detection channel corresponding to the magnetic sensitive element closest to the surface of the cable to be tested in each detection unit.

7. A bridge cable broken wire quantification device based on the leakage magnetic field circumferential ratio parameter model, characterized in that: include: an acquisition module, configured to acquire a multi-channel leakage magnetic field signal of the cable to be tested detected by a detection probe, wherein the detection probe includes a plurality of detection units arranged at equal angles along the circumference of the cable to be tested, each detection unit includes a plurality of magnetic sensitive elements arranged along a radial gradient of the cable to be tested, and detection channels corresponding to magnetic sensitive elements at the same distance from the surface of the cable to be tested in each detection unit are detection channels of the same layer; A selection module is used to select adjacent detection units corresponding to the maximum peak value and the second maximum peak value of the leakage magnetic field signal of any layer detection channel as a target detection unit pair; a first determining module, configured to determine a circumferential ratio parameter of the target detection unit pair based on a ratio of peak characteristics of detection channels in the same layer, using a multi-channel leakage magnetic field signal obtained by the target detection unit pair at a target detection position as a peak feature of the target detection unit pair, wherein the target detection position is a detection position where the detection probe is located when the maximum peak is detected; The second determination module is used to bring the circumferential ratio parameter into the circumferential ratio parameter model for solution to determine the broken wire inversion parameter of the cable to be tested. The circumferential ratio parameter model is used to characterize the nonlinear relationship between the circumferential ratio parameter and the broken wire inversion parameter. The broken wire inversion parameters include the angle between the target detection unit and the broken wire center relative to the cable center, the distance between the broken wire center and the cable center, the broken wire fracture width and the lifting distance of the magnetic sensitive element.

8. The bridge cable broken wire quantification device based on the leakage magnetic field circumferential ratio parameter model according to claim 7 is characterized in that: The circumferential ratio parameter model satisfies: Wherein, m and m+1 are the serial numbers of the two detection units in the target detection unit pair, k is the serial number of the magnetic sensitive element in the detection unit, CRAP mk is the kth circumferential ratio parameter of the target detection unit pair, PV mk is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensor in the mth detection unit, PV (m+1)k is the peak characteristic of the leakage magnetic field signal detected by the kth magnetic sensitive element in the m+1th detection unit, w is the fracture width of the broken wire, Ф is the diameter of the broken wire, R is the radius of the cable to be tested, l a is the lifting distance of the magnetic sensitive element, l k is the distance between the kth magnetic sensitive element and the k+1th magnetic sensitive element in the detection unit, k=1,…,K-1, K is the number of magnetic sensitive elements in the detection unit, OP is the distance between the center of the broken wire and the center of the cable, α is the angle between the target detection unit pair and the cable center, and β is the angle between any detection unit in the target detection unit pair and the center of the broken wire relative to the cable center.

9. An electronic device, characterized in that: include: at least one memory for storing a computer program; At least one processor is used to execute the program stored in the memory. When the program stored in the memory is executed, the processor is used to execute the method according to any one of claims 1 to 6.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed on a processor, the processor is caused to execute the method according to any one of claims 1 to 6.

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