A novel non-contact method, system, device, and medium for extracting conductor galloping features based on magnetic field induction.

Abstract

This invention relates to the field of non-contact monitoring technology for overhead transmission lines. Specifically, it relates to a novel non-contact method, system, device, and medium for extracting conductor galloping features based on magnetic field induction. The method provided by this invention mainly includes acquiring the magnetic induction intensity in the x-axis direction from a magnetic field sensor placed on the target conductor; based on the acquired magnetic induction intensity, constructing feature quantities directly related to conductor galloping, and reconstructing the conductor's oscillation trajectory. By utilizing two magnetic field sensors placed directly above the conductor to acquire the magnetic induction intensity and using this to establish the relationship between the conductor's motion trajectory, oscillation frequency, and oscillation amplitude, non-contact rapid extraction of conductor galloping features is achieved. It has advantages such as non-contact installation, strong environmental adaptability, low cost, and high reliability, overcoming the drawbacks of traditional measurement methods, and enabling non-contact rapid extraction of conductor galloping features, meeting the requirements of wide-area real-time monitoring of power systems.

Description

Technical Field

[0001] This invention relates to the field of non-contact monitoring technology for overhead transmission lines, and more specifically, to a novel non-contact method, system, device, and medium for extracting conductor galloping features based on magnetic field induction. Background Technology

[0002] Traditional conductor galloping detection technologies mainly include accelerometer sensing, fiber optic sensing, and image recognition. Accelerometer sensing is based on contact mounting on the surface of the conductor or accessory, obtaining oscillation characteristic parameters through acceleration signal inversion. However, this method has practical limitations, such as requiring power outages for installation, high installation and maintenance costs, and strict insulation requirements under high voltage conditions. Fiber optic sensing involves attaching a fiber Bragg grating (FBG) to the conductor and monitoring by sensing conductor strain or changes in optical signals. However, this method is susceptible to fiber microbending loss caused by conductor thermal expansion and contraction, icing, etc., and has high deployment costs in complex terrain. Image recognition relies on image data acquired by a camera and subsequent algorithm-based feature extraction to identify conductor oscillation characteristics. However, its performance is significantly limited by lighting conditions and its reliability is insufficient under extreme weather conditions.

[0003] In summary, existing methods are insufficient to meet the requirement of accurately extracting line oscillation characteristics under extreme environmental conditions. Summary of the Invention

[0004] The purpose of this invention is to provide a novel non-contact method, system, device, and medium for extracting conductor dancing features based on magnetic field induction, in order to solve the above-mentioned problems in the prior art.

[0005] This invention is achieved through the following technical solution:

[0006] In a first aspect, the present invention provides a novel non-contact method for extracting conductor galloping features based on magnetic field induction, comprising: Obtain the magnetic induction intensity of the magnetic field sensor set on the target conductor in the x-axis direction; Based on the acquired magnetic induction intensity, feature quantities directly related to conductor galloping are constructed to reconstruct the conductor oscillation trajectory; The oscillation frequency and amplitude are extracted based on the reconstructed conductor oscillation trajectory.

[0007] Preferably, obtaining the magnetic induction intensity of the magnetic field sensor disposed on the target conductor in the x-axis direction includes: Establish a correlation model between the magnetic field sensor in the x-axis direction and the spatial magnetic field when the target conductor is galloping:

[0008] in, The effective value of the magnetic flux density measured by sensor S1. The DC component of the magnetic flux density measured by the S1 sensor. , , For the set linear coefficients, This represents the real-time phase angle of the first phase dancing in the direction perpendicular to it. This represents the real-time phase angle of the first phase dancing in the horizontal direction. This represents the amplitude of the galloping motion of the first phase conductor in the vertical direction. This is the effective value of the current in the first phase conductor. This is the effective value of the magnetic flux density measured by the S4 sensor. The DC component of the magnetic flux density measured by the S4 sensor. This represents the amplitude of the dancing vibration in the horizontal direction of the first phase.

[0009] Preferably, the features directly related to conductor galloping include:

[0010]

[0011] In the formula, The ratio of the effective value of MF to the effective value of the current at sensor S1. This is the ratio of the effective value of MF to the effective value of current at sensor S4.

[0012] Preferably, the reconstruction of the conductor oscillation trajectory includes constructing a trajectory model:

[0013] In the formula, The first calculation coefficient, The characteristic parameters are constructed based on the MF of two points on the tower. For the second calculation coefficient, The characteristic parameters are constructed based on the MF of two points on the tower. This is the third calculation coefficient.

[0014] Preferably, the extraction of oscillation frequency and amplitude based on the reconstructed conductor oscillation trajectory includes:

[0015]

[0016] In the formula, The parameter corresponding to the maximum value. It is the Fourier transform function. Sampling frequency, This represents the number of sampling points within the wd sampling window. This is the fourth calculation coefficient. This is the fifth calculation coefficient. Let Ty be the maximum value of the constructed feature parameter within the sampling window wd. Let y be the minimum value of the constructed feature parameter Ty within the sampling window time wd.

[0017] Preferred options also include:

[0018]

[0019]

[0020]

[0021] In the formula, This represents the initial phase difference.

[0022] Secondly, the present invention also provides a novel non-contact system for extracting conductor galloping features based on magnetic field induction, for performing the aforementioned novel non-contact method for extracting conductor galloping features based on magnetic field induction, comprising: The data processing module is configured to acquire the magnetic induction intensity of the magnetic field sensor set on the target conductor in the x-axis direction; based on the acquired magnetic induction intensity, construct feature quantities directly related to the conductor's galloping, and reconstruct the conductor's oscillation trajectory; The output module is configured to extract the oscillation frequency and amplitude based on the reconstructed conductor oscillation trajectory.

[0023] Thirdly, the present invention also provides a novel non-contact device for extracting conductor galloping features based on magnetic field induction, characterized in that it includes a data processor and a sensor connected to the data processor, wherein the data processor executes the computer program to implement the above-mentioned novel non-contact method for extracting conductor galloping features based on magnetic field induction.

[0024] Preferably, the data processor includes an instrumentation amplifier, a bandpass filter, a programmable amplifier, and a microprocessor. Fourthly, the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described novel non-contact method for extracting conductor dancing features based on magnetic field induction.

[0025] The technical solution of the present invention has at least the following advantages and beneficial effects: The method provided by this invention mainly includes acquiring the magnetic induction intensity in the x-axis direction from a magnetic field sensor installed on the target conductor; based on the acquired magnetic induction intensity, constructing feature quantities directly related to conductor galloping, and reconstructing the conductor's oscillation trajectory. By utilizing two magnetic field sensors placed directly above the conductor to acquire the magnetic induction intensity and using this to establish the relationship between the conductor's motion trajectory, oscillation frequency, and oscillation amplitude, non-contact rapid extraction of conductor galloping features is achieved. It has advantages such as non-contact installation, strong environmental adaptability, low cost, and high reliability, overcoming the drawbacks of traditional measurement methods, and enabling non-contact rapid extraction of conductor galloping features, meeting the requirements of wide-area real-time monitoring in power systems. Attached Figure Description

[0026] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 This is a diagram showing the tower model and sensor placement locations of the present invention; Figure 2 This is the motion trajectory diagram of the Ty-Tx characteristic quantity of the present invention; Figure 3 This is a flowchart of the conductor galloping feature extraction algorithm of the present invention; Figure 4 This is a hardware circuit diagram of the present invention. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0029] The independently described modules or sub-modules may or may not be physically separated; they may be implemented in software or hardware, and some modules or sub-modules may be implemented in software, with the processor calling the software to implement the function of these modules or sub-modules, while other modules or sub-modules may be implemented in hardware, such as through hardware circuits. Furthermore, some or all of the modules can be selected to achieve the purpose of this application's solution according to actual needs.

[0030] Please refer to Figures 1-4This invention provides a novel non-contact method for extracting conductor dancing features based on magnetic field induction, comprising: S1: Obtain the magnetic induction intensity of the magnetic field sensor set on the target conductor in the x-axis direction; The output differential voltage signal in the x-axis direction at the position of phase A directly above the target cable is obtained by a magnetic sensor, and the differential signal is processed to obtain the magnetic induction intensity at the position of phase A directly above the target cable. Specifically, the magnetic induction intensity of the magnetic field sensors at two points directly above the target conductor is obtained along the x-axis:

[0031] In the formula, for The magnetic field strength at sensor S1 at all times can be measured using six sensors in this embodiment. The magnetic flux density coefficient of the first phase conductor at sensor S1. The magnetic flux density coefficient of the second phase cable at sensor S1. The magnetic flux density coefficient of the third phase cable at sensor S1. , , These are the phase currents of the first, second, and third phase conductors, respectively. for The magnetic field strength at the fourth sensor at time [time]. The magnetic flux density coefficient of the first phase conductor at the fourth sensor is [value missing]. The magnetic flux density coefficient of the second phase cable at sensor S4. is the magnetic flux density coefficient of the second phase cable at sensor S4.

[0032]

[0033] In the formula, Let be the magnetic flux density coefficient of the P-th phase conductor at the S-th sensor. The permeability of free space, This represents the sensor's position coordinates in the spatial coordinate system. This represents a small element of a conductor in a spatial coordinate system.

[0034] like Figure 1 As shown, Figure 1 This illustration shows a tower model and the placement of the sensors in a specific embodiment of the present invention. A coordinate system is established with the ground beneath the B-phase conductor as the origin, the conductor's extension direction as the z-axis, the direction perpendicular to the conductor as the x-axis, and the perpendicular direction as the y-axis. Two magnetic sensors are positioned directly above the three cables, with spatial coordinates as follows: .

[0035] When conductor galloping occurs, it exhibits significant vibrations in the vertical direction, forming one or more standing waves along the entire line. Historical data shows that single-wave standing waves account for over 80% of galloping incidents; therefore, this specific embodiment of the invention utilizes the single-wave standing wave formed during conductor galloping with ice accretion for analysis. However, under normal conditions, lateral flutter of the conductor is more likely to cause line damage. Therefore, to simplify the analysis, many scholars have widely adopted a simplified two-degree-of-freedom model (considering both in-plane and out-of-plane flutter). Figure 1 Spatial position coordinates of the cable during ice-covered dancing in the defined spatial coordinate system The calculation formula is as follows:

[0036]

[0037] In the formula, Indicates the amplitude of the oscillation in the vertical direction. The oscillation frequency in the vertical direction, The oscillation sequence is in the vertical direction. The starting phase in the vertical direction. Vertical modeling at position zp when the cable is not bracing. The amplitude of the oscillation in the horizontal direction. The oscillation frequency in the horizontal direction. This is the initial phase in the horizontal direction. The oscillation sequence is in the horizontal direction. This represents the horizontal coordinate of each conductor when it is at rest. This represents the sag value when the object is at rest. Indicates the span; Indicates the height of the tower.

[0038] This invention derives the correlation between conductor ice-covered dancing and spatial magnetic fields based on the Biot-Saffar law, and its theoretical basis is as follows: Take the length as The magnetic field generated at point P by the conductor, based on the Biot-Savart law, is as follows:

[0039] in, For a conductor element, Let be the distance vector from the infinitesimal element of the conductor to point P. The magnetic field generated at point P. This represents the phase current of a single wire in the cable.

[0040] Based on the above equations, the expression for the infinitesimal element of the target cable can be obtained:

[0041] in, The direction vector of the x-axis. The direction vector of the y-axis. Let be the direction vector along the z-axis, and 0 represent the displacement of the cable in the z-direction, which is negligible. In the spatial coordinate system, the distance vector from the cable element to the sensor is expressed as: .

[0042] Based on the above equations, this paper uses curve fitting to... Simplified to the following expression:

[0043]

[0044] in, , , These are linear coefficients, representing the oscillation amplitude. and The linear relationship between them The MF contribution coefficient of a conductor in its static state. Let be the amplitude of the galloping motion of the p-th phase conductor in the vertical direction. , Related to the frequency of the dance. Let p be the amplitude of the galloping motion in the horizontal direction. Let be the galloping frequency of the p-th phase cable in the vertical direction. Let p be the starting phase in the vertical direction of the cable. Let p be the galloping frequency of the cable in the horizontal direction. This represents the starting phase in the horizontal direction of the p-th phase cable. This represents the real-time phase angle of the first phase dancing in the direction perpendicular to it. This represents the real-time phase angle of the first phase dancing in the horizontal direction. and It is related to the oscillation frequency. By taking the moment when the phase current A reaches its maximum value as the observation time, the relationship between the two point magnetic field sensors directly above the target conductor during its galloping motion and the spatial magnetic field in the x-axis direction is simplified as follows:

[0045]

[0046] in, The effective value of the magnetic flux density measured by sensor S1. The DC component of the magnetic flux density measured by the S1 sensor. , , The set linear coefficient represents the amplitude of the dancing vibration. , and The linear relationship between them This represents the amplitude of the galloping motion of the first phase conductor in the vertical direction. This is the effective value of the current in the first phase conductor. This is the effective value of the magnetic flux density measured by the S4 sensor. The DC component of the magnetic flux density measured by the S4 sensor. The amplitude of the galloping motion in the horizontal direction of the first phase. The magnetic flux density coefficient of the first phase cable at sensor S1, The magnetic flux density coefficient of the first phase cable at sensor S4. and These are the ratios of the current in phase A to the currents in phases B and C at this time.

[0047] S2: Based on the acquired magnetic induction intensity, construct the feature quantities directly related to the conductor galloping, and reconstruct the conductor oscillation trajectory; The features directly related to conductor galloping include:

[0048]

[0049]

[0050]

[0051] In the formula, The ratio of the effective value of MF to the effective value of the current at sensor S1. This represents the ratio of the effective value of MF to the effective value of the current at sensor S4. The characteristic parameters are constructed based on the MF of two points on the tower. The characteristic parameters are constructed based on the MF structure at two points on the tower.

[0052] And the oscillation has an initial phase difference Furthermore, to simplify the equations, the following variables are defined:

[0053]

[0054]

[0055]

[0056] In the formula, The first calculation coefficient, For the second calculation coefficient, This is the third calculation coefficient.

[0057] Based on the above equations, reconstructing the conductor oscillation trajectory involves building a trajectory model:

[0058] The above model is a typical elliptical equation, and in most cases, its cross-sectional trajectory is elliptical. For example... Figure 2 As shown, Figure 2 A vivid description - The trajectory curve of the motion.

[0059] S3: Extract oscillation frequency and amplitude based on the reconstructed conductor oscillation trajectory.

[0060] The oscillation frequency and amplitude are extracted based on Fourier transform. and The conductor's oscillation frequency is included; performing an FFT on it yields the oscillation frequency. The solution for the oscillation amplitude is as follows:

[0061]

[0062] In the formula, for The parameter corresponding to the maximum value. It is the Fourier transform function. Sampling frequency, The number of sampling points within the wd sampling window time, the sampling count. , This is the fourth calculation coefficient. This is the fifth calculation coefficient. Let Ty be the maximum value of the constructed feature parameter within the sampling window wd. Let y be the minimum value of the constructed feature parameter Ty within the sampling window time wd.

[0063] Also includes:

[0064]

[0065]

[0066]

[0067] In the formula, This represents the initial phase difference.

[0068] Based on the above, the present invention provides specific examples.

[0069] like Figure 3 As shown. First, within the sampling time window wd, the effective value of the magnetic flux density of the sensor for each cycle is extracted; then, the formula is used to calculate... and Connecting each point in the sequence yields the trajectory curve of the conductor's oscillation; for extracting the oscillation frequency, i.e., [the following steps are needed]... and Perform an FFT and find the point corresponding to the maximum amplitude in the sequence; for extracting the oscillation amplitude, first calculate the in-plane oscillation amplitude using the formula, and then extract the specific points. and Substituting into the formula, we obtain the out-of-plane oscillation amplitude, where, The Tx value of the N1 sequence. The Tx value is for the N2 sequence.

[0070] This invention also provides a novel non-contact system for extracting conductor galloping features based on magnetic field induction, used to perform the aforementioned novel non-contact method for extracting conductor galloping features based on magnetic field induction, comprising: The data processing module is configured to acquire the magnetic induction intensity of the magnetic field sensor set on the target conductor in the x-axis direction; based on the acquired magnetic induction intensity, construct feature quantities directly related to the conductor's galloping, and reconstruct the conductor's oscillation trajectory; The output module is configured to extract the oscillation frequency and amplitude based on the reconstructed conductor oscillation trajectory.

[0071] The present invention also provides a novel non-contact device for extracting conductor galloping features based on magnetic field induction, comprising a data processor and a sensor connected to the data processor, wherein the data processor executes the above-described novel non-contact method for extracting conductor galloping features based on magnetic field induction.

[0072] like Figure 4 The diagram shows the execution flow of the hardware of this invention, including TMR signal acquisition, filtering and amplification, MCU digital-to-analog conversion, MCU data processing, and dance feature extraction.

[0073] The sensing unit consists of a TRM2103 sensor and a data processor. The sensing unit, after calibration, is placed on the top of the tower. The sensor is a uniaxial tunneling magnetoresistive sensor, and the sensing direction of the sensor is parallel to the sensor direction. The data processing unit is used to acquire and process the signal from the magnetic field sensor directly above the target conductor.

[0074] The data processor includes an instrumentation amplifier, a bandpass filter, a programmable amplifier, and a microprocessor. The instrumentation amplifier is used to filter out common-mode interference; the bandpass filter is used to improve the signal-to-noise ratio; the programmable amplifier is used to amplify the signal; and the microprocessor is used for analog-to-digital conversion.

[0075] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0076] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. This computer software product, stored in a storage medium, includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0077] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A novel non-contact method for extracting conductor galloping features based on magnetic field induction, characterized in that, include: Obtain the magnetic induction intensity of the magnetic field sensor set on the target conductor in the x-axis direction; Based on the acquired magnetic induction intensity, feature quantities directly related to conductor galloping are constructed to reconstruct the conductor oscillation trajectory; The oscillation frequency and amplitude are extracted based on the reconstructed conductor oscillation trajectory.

2. The novel non-contact method for extracting conductor galloping features based on magnetic field induction according to claim 1, characterized in that, The process of obtaining the magnetic induction intensity in the x-axis direction of the magnetic field sensor installed on the target conductor includes: Establish a correlation model between the magnetic field sensor in the x-axis direction and the spatial magnetic field when the target conductor is galloping: in, The effective value of the magnetic flux density measured by sensor S1. The DC component of the magnetic flux density measured by the S1 sensor. , , For the set linear coefficients, This represents the real-time phase angle of the first phase dancing in the direction perpendicular to it. This represents the real-time phase angle of the first phase dancing in the horizontal direction. This represents the amplitude of the galloping motion of the first phase conductor in the vertical direction. This is the effective value of the current in the first phase conductor. This is the effective value of the magnetic flux density measured by the S4 sensor. The DC component of the magnetic flux density measured by the S4 sensor. This represents the amplitude of the dancing vibration in the horizontal direction of the first phase.

3. A novel non-contact method for extracting conductor galloping features based on magnetic field induction according to claim 2, characterized in that, The features directly related to conductor galloping include: In the formula, The ratio of the effective value of MF to the effective value of the current at sensor S1. This is the ratio of the effective value of MF to the effective value of current at sensor S4.

4. A novel non-contact method for extracting conductor galloping features based on magnetic field induction according to claim 3, characterized in that, The reconstruction of the conductor oscillation trajectory includes constructing a trajectory model: In the formula, The first calculation coefficient, The characteristic parameters are constructed based on the MF of two points on the tower. For the second calculation coefficient, The characteristic parameters are constructed based on the MF of two points on the tower. This is the third calculation coefficient.

5. A novel non-contact method for extracting conductor galloping features based on magnetic field induction according to claim 4, characterized in that, The extraction of oscillation frequency and amplitude based on the reconstructed conductor oscillation trajectory includes: In the formula, The parameter corresponding to the maximum value. It is the Fourier transform function. Sampling frequency, This represents the number of sampling points within the wd sampling window. This is the fourth calculation coefficient. This is the fifth calculation coefficient. Let Ty be the maximum value of the constructed feature parameter within the sampling window wd. Let y be the minimum value of the constructed feature parameter Ty within the sampling window time wd.

6. A novel non-contact method for extracting conductor galloping features based on magnetic field induction according to claim 4, characterized in that, Also includes: In the formula, This represents the initial phase difference.

7. A novel non-contact system for extracting conductor galloping features based on magnetic field induction, used to execute the novel non-contact method for extracting conductor galloping features based on magnetic field induction as described in any one of claims 1-6, characterized in that, include: The data processing module is configured to acquire the magnetic induction intensity of the magnetic field sensor set on the target conductor in the x-axis direction; Based on the acquired magnetic induction intensity, feature quantities directly related to conductor galloping are constructed to reconstruct the conductor oscillation trajectory; The output module is configured to extract the oscillation frequency and amplitude based on the reconstructed conductor oscillation trajectory.

8. A novel non-contact device for extracting conductor galloping features based on magnetic field induction, characterized in that, The device includes a data processor and a sensor connected to the data processor, wherein the data processor executes a novel non-contact method for extracting conductor dancing features based on magnetic field induction as described in any one of claims 1-6.

9. A novel non-contact device for extracting conductor galloping features based on magnetic field induction according to claim 8, characterized in that, The data processor includes an instrumentation amplifier, a bandpass filter, a programmable amplifier, and a microprocessor.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, which, when executed by a processor, implements a novel non-contact method for extracting conductor galloping features based on magnetic field induction as described in any one of claims 1-6.

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