A conductor spacer dancing monitoring system

Abstract

The present invention discloses a wire spacer galloping monitoring system in the field of wire monitoring technology. The system includes a galloping monitoring terminal and a gateway terminal. The galloping monitoring terminal is provided with a housing fixedly mounted on the surface of the wire spacer. The galloping monitoring terminal is provided with a GNSS positioning module. The galloping monitoring terminal uses the GNSS positioning module to accurately locate the collected trajectory point information, processes the located trajectory point information, obtains the trajectory point information after electromagnetic interference separation, and sends the trajectory point information after electromagnetic interference separation to the gateway terminal. The gateway terminal calculates the conductor galloping data based on the received trajectory point information and sends the calculation results to a cloud platform, so that the cloud platform can monitor the conductor galloping in real time. The present invention should be able to reduce the damage caused to the conductor by the device and reduce the error of conductor galloping monitoring.

Description

Technical Field

[0001] The invention relates to a conductor spacer galloping monitoring system, belonging to the technical field of conductor galloping monitoring. Background Art

[0002] Overhead transmission lines are erected above ground and consist of towers, conductors, overhead ground wires, insulator strings, and grounding devices. Conductors carry the current and therefore must have a sufficient cross-section to maintain a reasonable current density. Since the conductors are at high potential, they should also have a large radius of curvature to minimize energy loss and electromagnetic interference caused by corona discharge. Ultra-high voltage transmission lines, due to their large transmission capacity and high operating voltage, often utilize split conductors. To ensure conductor safety during operation, conductor vibration monitoring is often required. In recent years, the construction of transmission lines in my country has accelerated rapidly, and automated online monitoring systems for power grids have begun to take shape. However, due to the complex electromagnetic interference and demanding field conditions of transmission line sites, existing online vibration monitoring systems suffer from unstable positioning accuracy, incomplete detection coverage, unreliable communication, and high power consumption in practice.

[0003] Existing conductor galloping monitoring systems are generally installed on one of the transmission lines. Since the device is installed directly on the conductor, it will cause damage to the conductor, and the complex electromagnetic interference generated by the magnetic field of the transmission line will cause inaccurate positioning, there is room for improvement. Summary of the Invention

[0004] The purpose of the present invention is to overcome the shortcomings of the existing technology and provide a conductor spacer bar dancing monitoring system to achieve high-precision monitoring of conductor dancing, obtain comprehensive dancing data, improve monitoring accuracy, and install the dancing monitoring terminal on the conductor through the conductor spacer bar to avoid the dancing monitoring terminal directly causing damage to the conductor.

[0005] In order to solve the above technical problems, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a conductor spacer galloping monitoring system, comprising a galloping monitoring terminal and a gateway terminal. The galloping monitoring terminal is provided with a housing fixedly mounted on a surface of the conductor spacer. The galloping monitoring terminal is provided with a GNSS positioning module, the GNSS positioning module further comprising a GNSS antenna mounted on top of the housing.

[0007] The dancing monitoring terminal accurately locates the collected trajectory point information through the GNSS positioning module, processes the located trajectory point information to obtain trajectory point information after electromagnetic interference is separated, and sends the trajectory point information after electromagnetic interference is separated to the gateway terminal;

[0008] The gateway terminal calculates the dancing data of the wire based on the received trajectory point information. The dancing data includes horizontal dancing amplitude, vertical dancing amplitude, elliptical inclination angle and dancing frequency, and sends the calculation results to the cloud platform, so that the cloud platform can monitor the dancing of the wire in real time.

[0009] In combination with the first aspect, the dancing monitoring terminal further includes a first communication module, a power charging module and a power management module. The first communication module is provided with a Lora antenna, and the Lora antenna is installed at the bottom of the shell. The power management module includes several lithium batteries, and the lithium batteries are used to power the dancing monitoring terminal. The power charging module is used to charge the lithium batteries.

[0010] In combination with the first aspect, further, the power charging module includes multiple solar panels and a solar controller, the solar panels are respectively installed on the front and back sides of the shell, the solar panels are electrically connected to the solar controller, and the solar controller is electrically connected to the lithium battery.

[0011] In combination with the first aspect, further, the dancing monitoring terminal processes the trajectory point information, including:

[0012] Satellite signals are received through the GNSS antenna, and wavelet transform is performed on the received satellite signals to identify track point information after electromagnetic interference signals are separated.

[0013] In combination with the first aspect, further, the calculation expression of the wavelet transform includes:

[0014]

[0015] in, represents discrete wavelet coefficients; f(t) represents wavelet transform function; represents the conjugate function of the basic wavelet; a represents the scaling parameter; b represents the translation parameter; R represents the real number set of the signal set; represents the conjugate function of discrete wavelet; represents the initial scaling parameter; t represents the time parameter; represents the initial translation parameter; n represents the number of continuous wavelet transforms.

[0016] In combination with the first aspect, further, performing wavelet transform on the received satellite signal includes:

[0017] performing wavelet decomposition on the satellite signal to obtain high-frequency coefficients and low-frequency coefficients;

[0018] performing threshold processing on the high-frequency coefficients to suppress electromagnetic interference, and performing a quantization operation on the high-frequency coefficients subjected to the threshold processing, thereby mapping the high-frequency coefficients subjected to the threshold processing to a preset value range;

[0019] The quantized high-frequency coefficients are combined with the undisturbed low-frequency coefficients, and the trajectory point information of the useful signal is reconstructed using the combined coefficients and the wavelet reconstruction algorithm.

[0020] In combination with the first aspect, further, reconstructing the trajectory point information of the useful signal by the wavelet reconstruction algorithm also includes:

[0021] The quality between the reconstructed useful signal and the original satellite signal is measured using the peak signal-to-noise ratio, wherein the step of measuring using the peak signal-to-noise ratio comprises:

[0022] Obtain original satellite signals and reconstructed useful signals;

[0023] Calculating a mean square error between the original satellite signal and the reconstructed useful signal;

[0024] Determining a maximum amplitude value of the original satellite signal, and calculating a peak signal-to-noise ratio using the maximum amplitude value of the original satellite signal and the calculated mean square error;

[0025] The quality of the reconstructed useful signal is evaluated according to the peak signal-to-noise ratio.

[0026] In combination with the first aspect, further, the calculation expression of the peak signal-to-noise ratio includes:

[0027] ;

[0028] Among them, PSNR represents peak signal-to-noise ratio; MSE represents mean square error; The maximum amplitude value of the original signal; Represents the sample value of the reconstructed useful signal; N represents the total number of signal samples; i represents all samples of the iterative original satellite signal and the reconstructed useful signal; Represents the i-th sample value of the original satellite signal.

[0029] In combination with the first aspect, further, the gateway terminal packages the calculated dancing data and uploads it to the cloud platform through a protocol. The cloud platform includes an analysis and early warning module and a data display module. The analysis and early warning module includes a warning light and a buzzer. The data display module is an LCD screen for displaying the dancing data transmitted from the gateway terminal in real time. The analysis and early warning module is used to monitor the dancing data transmitted from the gateway terminal. If the analysis and early warning module detects that the dancing data is abnormal, the warning light and buzzer are activated to issue a warning.

[0030] In combination with the first aspect, further, the calculation expressions of the horizontal dancing amplitude, the vertical dancing amplitude, the elliptical inclination angle and the dancing frequency respectively include:

[0031] Horizontal dance amplitude:

[0032] ;

[0033] in, Indicates the horizontal dancing amplitude; X max Indicates the maximum value in the X-axis direction; X min Indicates the minimum value in the X-axis direction; Y max Indicates the maximum value in the Y-axis direction; Y min Indicates the minimum value in the Y-axis direction;

[0034] Vertical dance amplitude:

[0035] ;

[0036] Among them, Z max Indicates the maximum value in the Z-axis direction; Z min Indicates the minimum value in the Z-axis direction; Indicates the vertical dancing amplitude;

[0037] Ellipse tilt angle:

[0038] ;

[0039] Where a represents the radius of the major axis of the ellipse; b represents the radius of the minor axis of the ellipse; θ represents the tilt angle of the ellipse; Represents the angle between the major axis of the ellipse and the positive direction of the X axis;

[0040] Dance frequency:

[0041] ;

[0042] Where F represents the dancing frequency; M represents the number of maximum points in the ellipse within a preset time; N represents the number of trajectories formed within the same period of time; Indicates the output frequency of the GNSS module positioning results.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention installs the dancing monitoring terminal on the hollow conductor spacer instead of directly installing the dancing monitoring terminal on the conductor, thereby avoiding damage to the conductor caused by the dancing monitoring terminal. The trace point information of the collection track is located through the GNSS positioning module, and the located track point information is sent to the gateway terminal for processing, and the processed results are sent to the cloud platform, thereby realizing the cloud platform's real-time monitoring capability of the conductor's dancing.

[0045] After the dancing monitoring terminal is installed on the transmission line, the external GNSS antenna is susceptible to complex electromagnetic interference from the UHV line when receiving satellite signals. By performing wavelet decomposition on the electromagnetic interference signal in the satellite signal and then performing wavelet reconstruction, the purpose of anti-interference of the monitoring signal is achieved, and the dancing data packaged by the protocol can be securely transmitted to the cloud platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a schematic diagram of the main structure of the dancing monitoring terminal provided by an embodiment of the present invention;

[0047] Figure 2 2 is a schematic side view of the structure of a dancing monitoring terminal provided by an embodiment of the present invention;

[0048] Figure 3 1 is a schematic diagram of the overall structure of a conductor spacer galloping monitoring system provided by an embodiment of the present invention;

[0049] Figure 4 Schematic diagram of the data processing module structure provided by an embodiment of the present invention;

[0050] In the figure: 1. Wire spacer; 2. Housing; 3. GNSS antenna; 4. Solar panel; 5. Lora antenna. DETAILED DESCRIPTION

[0051] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. Unless there is a conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0052] The term "and / or" in this document simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. Additionally, the character " / " in this document generally indicates an "or" relationship between the related objects. Example 1

[0053] See also Figure 1 and Figure 3 A conductor spacer dancing monitoring system includes a dancing monitoring terminal, a gateway terminal and a cloud platform. The dancing monitoring terminal includes a shell 2 and a first communication module. The shell 2 is fixedly installed on the surface of the conductor spacer 1, and the conductor spacer 1 is a four-split structure. After the installation is completed, the dancing monitoring terminal establishes a communication connection with the gateway terminal through the first communication module.

[0054] Furthermore, a GNSS positioning module is provided in the dancing terminal. The GNSS positioning module is provided with a GNSS antenna 3 and is installed on the top of the housing 2. The GNSS antenna 3 is used to receive satellite signals, thereby realizing the positioning of satellite signals and improving the accuracy of positioning.

[0055] It should be noted that the first communication module in the embodiment of the present invention adopts a Lora communication module, and the conductor spacer 1 is a hollow rigid structure. By arranging the conductor spacer 1 between the conductor and the dancing monitoring terminal, the damage caused to the conductor by the dancing monitoring terminal equipment is reduced. In addition, since the dancing monitoring terminal is rigidly connected to the conductor, the problem of failure of the GNSS positioning module caused by flipping of the dancing monitoring terminal can also be avoided.

[0056] Furthermore, the gateway terminal further includes a data processing module and a second communication module, see Figure 4 The data processing module is used to calculate the parameters of the conductor, specifically including a horizontal dancing amplitude calculation unit, a vertical dancing amplitude calculation unit, an elliptical inclination angle calculation unit and a dancing frequency calculation unit, which are used to calculate the dancing data of the conductor, namely the horizontal dancing amplitude, vertical dancing amplitude, elliptical inclination angle and dancing frequency, and the gateway terminal also establishes a connection with the cloud platform through the second communication module.

[0057] It should be noted that the second communication module in the embodiment of the present invention uses a 4G communication module to establish a 4G communication connection, and the above-mentioned dancing data can be uploaded to the cloud platform through the 4G communication module after being packaged by the protocol.

[0058] See also Figure 1 and Figure 2The dancing monitoring terminal also includes a first communication module, a power charging module, an electromagnetic anti-interference module and a power management module. The first communication module in the embodiment of the present invention adopts a Lora communication module. A cylindrical Lora antenna 5 is provided inside the Lora communication module, and the Lora antenna 5 is installed at the bottom of the shell 2. The Lora communication module uses the Lora antenna 5 for signal transmission, which improves the stability of signal transmission.

[0059] Furthermore, the power management module is composed of several lithium batteries, which are used to power the dancing monitoring terminal. The power charging module is used to charge the several lithium batteries. The electromagnetic anti-interference module is used to suppress electromagnetic interference signals generated in the transmission line.

[0060] Specifically, the power charging module also includes multiple solar panels 4 and solar controllers. The solar panels 4 are respectively installed on the front and back sides of the outer shell 2, and the number of solar panels installed on the front and back sides is the same. In the embodiment of the invention of the present application, two solar panels are respectively installed on the front and back sides of the outer shell 2. The solar panel 4 is electrically connected to the solar controller through a wire, and the solar controller is electrically connected to the lithium battery through a wire. If the lithium battery is out of power, the solar panel 4 can be used to generate solar power to charge the lithium battery, thereby ensuring the long-term battery life of the system. Example 2

[0061] According to the GNSS positioning module in Example 1, the collected trajectory point information is accurately positioned to determine the specific position of the dancing monitoring terminal in the wire or transmission line. These positions are recorded in the form of trajectory points, and the located trajectory point information is processed to obtain trajectory point information after separation of electromagnetic interference, and the trajectory point information after separation of electromagnetic interference is sent to the gateway terminal;

[0062] The gateway terminal calculates the conductor's dancing data based on the received trajectory point information. The dancing data includes horizontal dancing amplitude, vertical dancing amplitude, elliptical inclination angle and dancing frequency, and sends the calculation results to the cloud platform, so that the cloud platform can monitor the conductor's dancing in real time.

[0063] Specifically, the trajectory point information after separating the electromagnetic interference is obtained, including:

[0064] Satellite signals are received through the GNSS antenna 3 and wavelet transform is performed on the received satellite signals in order to separate electromagnetic interference signals and thereby obtain trajectory point information of useful signals.

[0065] Furthermore, the received satellite signal is subjected to wavelet transformation, which specifically includes the following steps:

[0066] Step S61: performing wavelet decomposition on the received satellite signal to obtain high-frequency coefficients and low-frequency coefficients. The high-frequency coefficients generally contain rapid changes in the signal and noise components, while the low-frequency coefficients contain smooth changes in the signal and useful information.

[0067] Step S62: threshold processing is performed on the high-frequency coefficients obtained by decomposition, in order to suppress or reduce the influence of electromagnetic interference;

[0068] Specifically, a threshold is set to determine which high-frequency coefficients are electromagnetic interference or noise and which are part of the useful signal. The threshold comparison method includes:

[0069] The high-frequency coefficients obtained by decomposition are compared with the preset threshold. If the amplitude of the high-frequency coefficients is less than the preset threshold, it is considered to be noise or electromagnetic interference. If the amplitude of the high-frequency coefficients is greater than the preset threshold, it is considered to be part of the useful signal.

[0070] Step S63: performing a quantization operation on the high-frequency coefficients that have undergone threshold processing, and quantizing these coefficients into a preset value range;

[0071] It should be noted that the quantization operation helps to reduce the data volume of the signal and further reduce the noise.

[0072] Step S64: Combine the quantized high-frequency coefficients with the undisturbed low-frequency coefficients, and use these combined coefficients and a wavelet reconstruction algorithm to reconstruct the trajectory point information of the useful signal, that is, reconstruct a signal with the electromagnetic interference removed or reduced.

[0073] It should be noted that the embodiment of the present invention adopts the form of discrete wavelet transform. For continuous wavelet transform, it is necessary to perform integral calculations on the entire time-frequency domain. However, by introducing discretized scaling parameters and translation parameters, discrete wavelet transform can more easily control the scale and position of the wavelet transform, thereby more accurately adapting to the characteristics of the signal and performing very well in obtaining useful information and electromagnetic interference when separating the signal. Furthermore, the calculation expression of discrete wavelet transform includes:

[0074]

[0075] in, represents discrete wavelet coefficients; f(t) represents wavelet transform function; represents the conjugate function of the basic wavelet; a represents the scaling parameter; b represents the translation parameter; R represents the real number set of the signal set; represents the conjugate function of discrete wavelet; represents the initial scaling parameter; t represents the time parameter; represents the initial translation parameter; n represents the number of continuous wavelet transforms.

[0076] Furthermore, the peak signal-to-noise ratio (PNSR) provides a quantitative method to evaluate the quality of the reconstructed useful signal. The larger the peak signal-to-noise ratio (PSNR), the better the quality of the reconstructed useful signal. First, a critical threshold of the PSNR is set. If the value obtained according to the above-mentioned PSNR calculation formula is greater than the preset critical threshold, it means that the signal of the signal segment monitored by the dancing monitoring terminal is good. If the value obtained according to the above-mentioned PSNR calculation formula is less than the preset critical threshold, it means that the signal of the signal segment monitored by the dancing monitoring terminal is poor.

[0077] Specifically, the peak signal-to-noise ratio is used to measure the reconstructed useful signal, including the following steps:

[0078] Step S71: obtaining original satellite signals and reconstructed useful signals;

[0079] Step S72: Calculate the mean square error (MSE) between the original satellite signal and the reconstructed useful signal;

[0080] Specifically, the expression of mean square error is as follows:

[0081]

[0082] Where MSE stands for mean square error; Represents the sample value of the reconstructed useful signal; N represents the total number of signal samples; i represents all samples of the iterative original satellite signal and the reconstructed useful signal; Represents the i-th sample value of the original satellite signal.

[0083] Step S73: Determine the maximum amplitude value of the original satellite signal , using the maximum amplitude value of the original satellite signal And the calculated mean square error MSE, calculate the peak signal-to-noise ratio PNSR;

[0084] It should be noted that the maximum amplitude value is usually related to the number of quantization bits of the signal. For example, for an 8-bit signal, Usually 255.

[0085] Step S74: Evaluate the quality of the reconstructed useful signal according to the peak signal-to-noise ratio (PNSR).

[0086] Specifically, the higher the value of the peak signal-to-noise ratio PNSR obtained, the smaller the difference between the reconstructed useful signal and the original signal, and the better the signal quality. In the embodiment of the present invention, the threshold of the peak signal-to-noise ratio PNSR is set to 30dB. When the calculated peak signal-to-noise ratio PNSR is greater than 30dB, it is considered that the reconstructed useful signal is of high quality.

[0087] It should be noted that other metrics, such as the structural similarity index SSIM, can also be combined to comprehensively evaluate the quality of the reconstructed useful signal.

[0088] Furthermore, the calculation expression of the peak signal-to-noise ratio is as follows:

[0089]

[0090] Among them, PSNR means peak signal-to-noise ratio; The maximum amplitude value of the original signal.

[0091] In an embodiment of the present invention, the gateway terminal packages the calculated dancing data and uploads it to the cloud platform through a protocol. The cloud platform includes an analysis and early warning module and a data display module. The analysis and early warning module includes a warning light and a buzzer. The data display module is an LCD screen for displaying the dancing data transmitted from the gateway terminal in real time. The analysis and early warning module is used to monitor the dancing data transmitted from the gateway terminal. If the analysis and early warning module detects that the dancing data is abnormal, the warning light and buzzer are activated to issue a warning.

[0092] Furthermore, the calculation expressions of the above dancing data are as follows:

[0093] a. Horizontal dancing amplitude of the conductor

[0094] The located trajectory points are sent to the data processing module in the gateway terminal for further processing. Specifically, the data processing module filters out the maximum and minimum values ​​of all trajectory points along the X-axis and Y-axis respectively, and calculates the horizontal galloping amplitude of the wire based on the filtered maximum and minimum values ​​in the X-axis and Y-axis directions. The expression is as follows:

[0095] ;

[0096] in, Indicates the horizontal dancing amplitude; X max Indicates the maximum value in the X-axis direction; X min Indicates the minimum value in the X-axis direction; Y max Indicates the maximum value in the Y-axis direction; Y min Indicates the minimum value in the Y-axis direction;

[0097] b. Vertical dancing amplitude of the conductor

[0098] The data processing module filters out the maximum and minimum values ​​of all trajectory points along the Z axis and calculates the vertical dancing amplitude of the wire. The expression is as follows:

[0099]

[0100] Among them, Zmax Indicates the maximum value in the Z-axis direction; Z min Indicates the minimum value in the Z-axis direction; Indicates the vertical dancing amplitude.

[0101] c. Elliptical inclination angle of the conductor

[0102] Based on the located trajectory point information, at least two ellipses are planned. The center point of the ellipse is determined by calculating the average value of all trajectory points, and the square of the distance from the center point of the ellipse to the trajectory point is calculated to determine the major and minor axis radii of the ellipse. The ellipse inclination angle of the wire is calculated based on the major and minor axis radii of the ellipse and the angle between the main axis of the ellipse and the positive direction of the X / Y axis. The expression is as follows:

[0103]

[0104] Where a represents the radius of the major axis of the ellipse; b represents the radius of the minor axis of the ellipse; θ represents the tilt angle of the ellipse; Indicates the angle between the major axis of the ellipse and the positive X-axis.

[0105] d. The dancing frequency of the conductor

[0106] Calculate the distance from the trajectory point to the center point of the ellipse within the preset time, determine the number of maximum points corresponding to all ellipses within the preset time, and calculate the dancing frequency of the wire based on the number of maximum points. The expression is as follows:

[0107]

[0108] Where F represents the dancing frequency; M represents the number of maxima in the ellipse within a preset time; N represents the number of trajectories formed within the same period of time; Indicates the output frequency of the GNSS module positioning results.

[0109] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A conductor spacer dancing monitoring system, characterized in that: The invention comprises a dancing monitoring terminal, a gateway terminal and a cloud platform, wherein the dancing monitoring terminal is provided with a housing (2), the housing (2) is fixedly mounted on the surface of a conductor spacer (1), the dancing monitoring terminal is provided with a GNSS positioning module, the GNSS positioning module is further provided with a GNSS antenna (3), and the GNSS antenna (3) is mounted on the top of the housing (2); the dancing monitoring terminal accurately locates the collected track point information through the GNSS positioning module, and processes the located track point information to obtain the track point information after separation of electromagnetic interference; The processing of the located trajectory point information includes: Satellite signals are received via the GNSS antenna (3), and wavelet transform is performed on the received satellite signals to identify trajectory point information after the electromagnetic interference signal is separated; wherein the wavelet transform is performed on the received satellite signals, including: performing wavelet decomposition on the satellite signal to obtain high-frequency coefficients and low-frequency coefficients; performing threshold processing on the high-frequency coefficients to suppress electromagnetic interference, and performing a quantization operation on the high-frequency coefficients subjected to the threshold processing, thereby mapping the high-frequency coefficients subjected to the threshold processing to a preset value range; Combine the quantized high-frequency coefficients with the undisturbed low-frequency coefficients, and use the combined coefficients and wavelet reconstruction algorithm to reconstruct the trajectory point information of the useful signal; Reconstructing the trajectory point information of the useful signal through the wavelet reconstruction algorithm also includes: The quality between the reconstructed useful signal and the original satellite signal is measured using the peak signal-to-noise ratio, wherein the step of measuring using the peak signal-to-noise ratio comprises: Obtain original satellite signals and reconstructed useful signals; Calculating a mean square error between the original satellite signal and the reconstructed useful signal; determining a maximum amplitude value of the original satellite signal, and calculating a peak signal-to-noise ratio using the maximum amplitude value of the original satellite signal and the calculated mean square error; evaluating the quality of the reconstructed useful signal according to the peak signal-to-noise ratio; The dancing monitoring terminal sends the trajectory point information after the electromagnetic interference is separated to the gateway terminal; The gateway terminal calculates the dancing data of the wire based on the received trajectory point information. The dancing data includes horizontal dancing amplitude, vertical dancing amplitude, elliptical inclination angle and dancing frequency, and sends the calculation results to the cloud platform, so that the cloud platform can monitor the dancing of the wire in real time.

2. The conductor spacer galloping monitoring system according to claim 1, characterized in that: The dance monitoring terminal further comprises a first communication module, a power charging module and a power management module. The first communication module is provided with a Lora antenna (5), and the Lora antenna (5) is mounted on the bottom of the housing (2). The power management module comprises a plurality of lithium batteries, and the lithium batteries are used to power the dance monitoring terminal. The power charging module is used to charge the lithium batteries.

3. The conductor spacer galloping monitoring system according to claim 2, characterized in that: The power charging module comprises a plurality of solar panels (4) and a solar controller, wherein the solar panels (4) are respectively mounted on the front and back sides of the housing (2), the solar panels (4) are electrically connected to the solar controller, and the solar controller is electrically connected to the lithium battery.

4. The conductor spacer galloping monitoring system according to claim 1, characterized in that: The calculation expression of the wavelet transform includes: ； in, represents discrete wavelet coefficients; f(t) represents wavelet transform function; represents the conjugate function of the basic wavelet; a represents the scaling parameter; b represents the translation parameter; R represents the real number set of the signal set; represents the conjugate function of discrete wavelet; represents the initial scaling parameter; t represents the time parameter; represents the initial translation parameter; n represents the number of continuous wavelet transforms.

5. The conductor spacer galloping monitoring system according to claim 1, characterized in that: The calculation expression of the peak signal-to-noise ratio includes: ； Among them, PSNR represents peak signal-to-noise ratio; MSE represents mean square error; The maximum amplitude value of the original signal; Represents the sample value of the reconstructed useful signal; N represents the total number of signal samples; i represents all samples of the iterative original satellite signal and the reconstructed useful signal; Represents the i-th sample value of the original satellite signal.

6. The conductor spacer galloping monitoring system according to claim 1, characterized in that: The gateway terminal packages the calculated dancing data and uploads it to the cloud platform through a protocol. The cloud platform includes an analysis and warning module and a data display module. The analysis and warning module includes a warning light and a buzzer. The data display module is a liquid crystal display screen for displaying the dancing data transmitted by the gateway terminal in real time. The analysis and warning module is used to monitor the dancing data transmitted by the gateway terminal. If the analysis and warning module detects that the dancing data is abnormal, the warning light and buzzer are activated to issue a warning.

7. The conductor spacer galloping monitoring system according to claim 1, characterized in that: The calculation expressions of the horizontal dancing amplitude, vertical dancing amplitude, elliptical inclination angle and dancing frequency respectively include: Horizontal dance amplitude: ； in, Indicates the horizontal dancing amplitude; X max Indicates the maximum value in the X-axis direction; X min Indicates the minimum value in the X-axis direction; Y max Indicates the maximum value in the Y-axis direction; Y min Indicates the minimum value in the Y-axis direction; Vertical dance amplitude: ； Among them, Z max Indicates the maximum value in the Z-axis direction; Z min Indicates the minimum value in the Z-axis direction; Indicates the vertical dancing amplitude; Ellipse tilt angle: ； Where a represents the radius of the major axis of the ellipse; b represents the radius of the minor axis of the ellipse; θ represents the tilt angle of the ellipse; Represents the angle between the major axis of the ellipse and the positive direction of the X axis; Dance frequency: ； Where F represents the dancing frequency; M represents the number of maximum points in the ellipse within a preset time; N represents the number of trajectories formed within the same period of time; Indicates the output frequency of the GNSS module positioning results.

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