Method and system for visual monitoring of distance to hidden dangers of external damage in power transmission lines

Abstract

The present invention discloses a method and system for visually monitoring the distance to transmission line external damage hazards. The method comprises: acquiring point cloud data and images of an external damage intrusion object; simultaneously calculating the distance between the external damage intrusion object and the transmission line using a microwave photon radar body and an edge computing gateway; fusing the point cloud data and images for display, and providing alarm data display and management, external damage hazard situation analysis, and statistical reporting. The present invention can visualize the distance to transmission line external damage hazards and accurately detect the intrusion distance of dangerous external damage objects within transmission line channels.

Description

Technical Field

[0001] The invention relates to a method and system for visually monitoring the distance of hidden dangers of external damage in a power transmission line, and belongs to the field of power transmission line monitoring. Background Art

[0002] Traditional visual monitoring devices for power transmission line damage hazards use AI to identify and issue alerts when objects such as construction machinery intrude on transmission lines. However, they cannot accurately determine the distance between objects and the transmission lines. This results in a massive number of daily alert images, most of which do not pose a risk to the transmission lines. There are even cases where angle steel on towers is mistakenly identified as a potential damage hazard. Consequently, monitoring personnel must visually assess the distance between the object and the line using reference objects in images and videos. This involves manually reviewing each alert image and ultimately alerting the equipment owner. Alternatively, a 3D LiDAR + visualization solution uses 3D LiDAR to measure the safe distance to potential hazards. However, due to the large amount of data generated by 3D LiDAR and the high processing performance required, the processor consumes a lot of power. Furthermore, LiDAR is susceptible to electromagnetic interference, which can affect distance determination. Summary of the Invention

[0003] In view of this, the present invention provides a method, device, system, computer equipment and storage medium for visual monitoring of the distance of hidden dangers of external damage to transmission lines, which can achieve the purpose of distance visualization, accurately detect the intrusion distance of dangerous external damage objects in the transmission line channel, improve the alarm response speed, and further improve the safety of transmission line operation.

[0004] The first object of the present invention is to provide a method for visually monitoring the distance of hidden dangers of external damage to power transmission lines.

[0005] The second object of the present invention is to provide a device for visually monitoring the distance of hidden dangers of external damage to power transmission lines.

[0006] The third object of the present invention is to provide a transmission line external damage hidden danger distance visualization monitoring system.

[0007] A fourth object of the present invention is to provide a computer device.

[0008] A fifth object of the present invention is to provide a storage medium.

[0009] The first object of the present invention can be achieved by adopting the following technical solutions:

[0010] A method for visually monitoring the distance of hidden dangers of external damage to a power transmission line, the method comprising:

[0011] Obtain point cloud data and images of intrusion objects, and calculate the distance between the intrusion objects and the transmission line through the microwave photon radar body and edge computing gateway;

[0012] The point cloud data and the image are fused and displayed, and alarm data display and management, external damage hidden danger situation analysis and statistical reports are provided.

[0013] Furthermore, the calculation of the distance between the intrusion object and the transmission line by the microwave photon radar body and the edge computing gateway includes:

[0014] According to Hilbert filtering, the pulse amplitude modulated signal is detected to obtain a pulse modulated signal, wherein the pulse amplitude modulated signal is emitted by the microwave photon radar body and reflected by the external intrusion object;

[0015] The pulse amplitude is measured by threshold detection based on the amplitude threshold value set according to the radar system's empirical signal-to-noise ratio;

[0016] Update half of the measured pulse amplitude as the new threshold value;

[0017] According to the new threshold value, the pulse arrival time and pulse width are measured through threshold detection, and then the distance between the intruder and the microwave photon radar body is obtained;

[0018] Taking the transmission line channel as a reference, the distance between the intrusion object and the transmission line is calculated according to the distance between the intrusion object and the microwave photon radar body;

[0019] Among them, the edge computing gateway provides the algorithm running environment for the above operations.

[0020] Furthermore, the step of calculating the distance between the intrusion object and the transmission line by using the microwave photon radar body and the edge computing gateway further includes:

[0021] According to the radar signal instantaneous frequency measurement and solution algorithm of FPGA three-light comb, multiple frequency points after reflection are measured, and ADC+FPGA is used for real-time frequency solution.

[0022] Furthermore, the method also includes: tracking external intrusion objects through edge computing gateways and camera cloud billiard cameras.

[0023] The second object of the present invention can be achieved by adopting the following technical solutions:

[0024] A device for visually monitoring the distance of hidden dangers of external damage to a power transmission line, the device comprising:

[0025] The acquisition and calculation module is used to obtain the point cloud data and images of the external intrusion object, and at the same time calculate the distance between the external intrusion object and the transmission line through the microwave photon radar body and the edge computing gateway;

[0026] The visual monitoring module is used to fuse and display the point cloud data and the image, and provide alarm data display and management, situation analysis of external damage hazards and statistical reports.

[0027] The third object of the present invention can be achieved by adopting the following technical solutions:

[0028] A transmission line external damage hidden danger distance visualization monitoring system, the system includes an edge computing gateway, a camera cloud billiard camera and a microwave photon radar body;

[0029] The edge computing gateway, the camera cloud billiard camera and the microwave photon radar body are arranged side by side on the tower angle iron through a bracket;

[0030] The edge computing gateway, the camera cloud billiards camera and the microwave photon radar body are connected to the wireless network module, and the wireless network module is connected to the terminal device;

[0031] The microwave photon radar body is used to collect point cloud data of external intrusion objects to detect and identify external intrusion objects, and call the camera cloud billiard camera to shoot the external intrusion objects;

[0032] The camera cloud billiard camera is used to shoot external intrusion objects;

[0033] The terminal device is used to implement the above-mentioned method for visually monitoring the distance of hidden dangers of external damage to the power transmission line.

[0034] Furthermore, the system also includes a solar module, a solar pressing block, a triangular bracket, an integrated battery and a fixing fixture;

[0035] There are at least two triangular brackets, which are mounted on the tower via corresponding fixing fixtures, and the triangular brackets are spaced apart from each other.

[0036] The solar modules are covered on the inclined surfaces between the triangular supports by solar pressing blocks;

[0037] The solar module is connected to the integrated battery;

[0038] The integrated battery provides power for the edge computing gateway, the camera cloud billiard machine and the microwave photon radar body.

[0039] Furthermore, in the microwave photon radar body:

[0040] The transmitting antenna, the power amplifier module, the first photodetector, the bandpass optical filter, the second phase modulator, the dual-bandpass optical filter, the first phase modulator, and the laser are connected in sequence;

[0041] The receiving antenna, the low noise amplifier module, the third phase modulator, the optical filter, the second photodetector, the intermediate frequency filter amplifier, and the data converter are connected in sequence;

[0042] The data processing and control module is connected with the data converter, intermediate frequency filter amplifier, optical filter, low noise amplifier module, laser, dual-bandpass optical filter, bandpass optical filter, power amplifier module, and microwave signal source;

[0043] The microwave signal source is connected to the first phase modulator and the second phase modulator;

[0044] A 1×2 coupler is connected between the first photodetector and the bandpass optical filter;

[0045] The 1×2 coupler is connected to the third phase modulator.

[0046] The fourth object of the present invention can be achieved by adopting the following technical solutions:

[0047] A computer device includes a processor and a memory for storing a program executable by the processor. When the processor executes the program stored in the memory, the above-mentioned method for visually monitoring the distance of hidden dangers of external damage to power transmission lines is implemented.

[0048] The fifth object of the present invention can be achieved by adopting the following technical solutions:

[0049] A storage medium stores a program, which, when executed by a processor, implements the above-mentioned method for visually monitoring the distance of hidden dangers of external damage to power transmission lines.

[0050] The present invention has the following beneficial effects compared to the prior art:

[0051] 1. This invention uses the hardware fusion technology of visible light cameras and microwave photon radars, and the fusion technology of microwave photon radar point cloud images and visible light images to detect the distance between external objects and power transmission lines, thereby improving the accuracy and effectiveness of alarm information, and at the same time improving work efficiency, enhancing the digitalization and intelligentization of power transmission;

[0052] 2. The microwave photon radar body provided by the present invention uses photon technology to complete radar signal generation, reception and processing. Compared with traditional lidar, it has the advantages of high operating frequency, wide working bandwidth, low processing loss, and the ability to operate in complex electromagnetic environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying any creative work.

[0054] Figure 1 This is a partial structural diagram of the transmission line external damage hidden danger distance visualization monitoring system of Example 1 of the present invention.

[0055] Figure 2 This is a wiring diagram of a transmission line external damage hidden danger distance visualization monitoring system according to Example 1 of the present invention.

[0056] Figure 3 This is a partial structural diagram of the transmission line external damage hidden danger distance visualization monitoring system of Example 1 of the present invention.

[0057] Figure 4a-4c The following are structural diagrams of the fixing fixture, solar pressing block and bracket according to Example 1 of the present invention.

[0058] Figure 5 This is a schematic diagram of the microwave photon radar body according to Example 1 of the present invention.

[0059] Figure 6a This is a flow chart of a method for visually monitoring the distance of hidden dangers of external damage to a power transmission line according to embodiment 1 of the present invention.

[0060] Figure 6b Schematic diagram of calculation of the potential damage distance of a transmission line according to embodiment 1 of the present invention.

[0061] Figure 7 This is a schematic diagram of the STFT transformation principle of Example 1 of the present invention.

[0062] Figure 8 This is a schematic diagram of the optical comb frequency measurement solution of Example 1 of the present invention.

[0063] Figure 9 This is a processing module diagram of the FPGA algorithm of Example 1 of the present invention.

[0064] Figure 10 This is the RTL level circuit design diagram of the frequency calculation module of Example 1 of the present invention.

[0065] Figure 11 This is a visualization effect diagram of the hidden danger distance of external damage of the transmission line in Example 1 of the present invention.

[0066] Figure 12 This is a structural block diagram of a device for visually monitoring the distance to hidden dangers of external damage to a transmission line according to embodiment 2 of the present invention.

[0067] Figure 13 This is a structural block diagram of a computer device according to embodiment 3 of the present invention.

[0068] Among them, 1-edge computing gateway, 2-pandora's box camera, 3-microwave photon radar body, 4-bracket, 5-tower angle iron, 6-solar module, 7-solar pressing block, 8-triangular bracket, 9-integrated battery, 10-fixing fixture. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0070] Example 1:

[0071] like Figure 1-Figure 5 As shown, this embodiment provides a transmission line external damage hidden danger distance visualization monitoring system, the system includes an edge computing gateway, a camera cloud billiards camera and a microwave photon radar body;

[0072] The edge computing gateway, the camera cloud billiard camera and the microwave photon radar body are arranged side by side on the tower angle iron through a bracket;

[0073] The edge computing gateway, camera cloud billiard machine and microwave photon radar body are connected to the wireless network module, and the wireless network module is connected to the terminal device. Figure 2 ;

[0074] The microwave photon radar body is used to collect point cloud data of external intrusion objects to detect and identify external intrusion objects, and call the camera cloud billiard camera to shoot the external intrusion objects;

[0075] The camera pan / tilt camera is used to shoot the external intrusion object and obtain the target external intrusion hidden danger image;

[0076] The edge computing gateway is used to cooperate with the camera cloud billiard camera to track external intrusion objects and provide an algorithm operation environment;

[0077] The terminal device is used to implement the following method for visually monitoring the distance of hidden dangers of external damage to power transmission lines.

[0078] Furthermore, if Figure 3 As shown, the system also includes solar panels, solar pressing blocks, triangular brackets, integrated batteries and fixing fixtures;

[0079] There are at least two triangular brackets, which are mounted on the tower via corresponding fixing fixtures, and the triangular brackets are spaced apart from each other.

[0080] The solar modules are covered on the inclined surfaces between the triangular supports by solar pressing blocks;

[0081] The solar module is connected to the integrated battery;

[0082] The integrated battery provides power for the edge computing gateway, the camera cloud billiard machine and the microwave photon radar body.

[0083] In this embodiment, the detailed structure of the fixing fixture, solar pressing block and bracket is shown in FIG. Figure 4a-4c ; Solar panels and integrated batteries constitute a solar power supply group.

[0084] Furthermore, if Figure 5 As shown, in the microwave photon radar body:

[0085] The transmitting antenna, the power amplifier module, the first photodetector, the bandpass optical filter, the second phase modulator, the dual-bandpass optical filter, the first phase modulator, and the laser are connected in sequence;

[0086] The receiving antenna, the low noise amplifier module, the third phase modulator, the optical filter, the second photodetector, the intermediate frequency filter amplifier, and the data converter are connected in sequence;

[0087] The data processing and control module is connected with the data converter, intermediate frequency filter amplifier, optical filter, low noise amplifier module, laser, dual-bandpass optical filter, bandpass optical filter, power amplifier module, and microwave signal source;

[0088] The microwave signal source is connected to the first phase modulator and the second phase modulator;

[0089] A 1×2 coupler is connected between the first photodetector and the bandpass optical filter;

[0090] The 1×2 coupler is connected to the third phase modulator.

[0091] like Figure 6a As shown, this embodiment also provides a method for visually monitoring the distance of hidden dangers of external damage to power transmission lines, which includes the following steps:

[0092] S601: Acquire point cloud data and images of the intrusion object, and simultaneously calculate the distance between the intrusion object and the transmission line through the microwave photon radar body and the edge computing gateway;

[0093] Furthermore, the calculation of the distance between the intrusion object and the transmission line by the microwave photon radar body and the edge computing gateway includes:

[0094] S6011. Perform detection of the pulse amplitude modulated signal according to Hilbert filtering to obtain a pulse modulation signal, wherein the pulse amplitude modulated signal is emitted by the microwave photon radar body and reflected by the external intrusion object.

[0095] S6012. Measure the pulse amplitude through threshold detection based on the amplitude threshold value set according to the radar system's empirical signal-to-noise ratio.

[0096] In this step, the threshold detection is a coarse threshold detection.

[0097] S6013: Update half of the measured pulse amplitude as a new threshold value.

[0098] S6014. According to the new threshold value, the pulse arrival time and pulse width are measured through threshold detection, thereby obtaining the distance between the external intrusion object and the microwave photon radar body.

[0099] In this step, the threshold detection is an adaptive threshold detection.

[0100] S6015. Using the transmission line channel as a reference, calculate the distance between the external intrusion object and the transmission line according to the distance between the external intrusion object and the microwave photon radar body.

[0101] This step can refer to Figure 6b , which is mainly obtained by using three-dimensional space and trigonometric function laws.

[0102] Among them, the edge computing gateway provides an algorithm running environment for steps S6011 to S6015.

[0103] Furthermore, the step of calculating the distance between the intrusion object and the power transmission line by using the microwave photon radar body and the edge computing gateway further includes:

[0104] According to the radar signal instantaneous frequency measurement and solution algorithm of FPGA three-light comb, multiple frequency points after reflection are measured, and ADC+FPGA is used for real-time frequency solution.

[0105] S602: Fusing the point cloud data and the image for display, and providing alarm data display and management, external damage hidden danger situation analysis and statistical reports.

[0106] In this step, the alarm data is the data when the edge computing gateway calculates that the distance between the external intrusion object and the transmission line exceeds a certain threshold range.

[0107] In this embodiment, the method also includes: tracking the external intrusion object through the edge computing gateway and the camera cloud billiard camera.

[0108] In another embodiment, a radar alarm is used to call the camera of the cloud billiard camera to capture the image in a preset position.

[0109] It should be noted that, in this embodiment, situation analysis is based on previous data analysis, combining various factors damaged by external factors, and drawing a series of corresponding conclusions therefrom, wherein the conclusions usually have a certain degree of decision-making nature; this embodiment can provide a decision-making basis for the safe operation of the transmission line through situation analysis.

[0110] It should be noted that in this embodiment, the algorithm logic design is completed by using the radar pulse parameter measurement solution of FPGA's STFT (STFT). The STFT change solution is implemented on FPGA using block RAM + FFT IP core. This solution has simple logic, small FFT points, small amount of calculation, and the measurement accuracy error does not exceed 4%. Figure 7 ; It also uses the radar signal instantaneous frequency measurement and solution algorithm of FPGA three-light comb to realize multi-frequency point measurement. At the same time, the frequency solution algorithm has a small amount of calculation and uses ADC+FPDA to realize real-time frequency solution, which improves the real-time performance of the radar system. You can refer to Figures 8-10 .

[0111] It should be noted that, in this embodiment, the data collected by microwave photon radar point cloud data and visible light images are fused and displayed on the platform software, that is, the point cloud data and the image are fused, and two forms can be displayed in one visual interface, microwave photon radar point cloud map and visible light image display, and the two can be switched between each other. The platform also has functions such as alarm data display and management, situation analysis of external damage hazards, statistical reports, etc., among which the platform software is the software of the terminal device.

[0112] It should be noted that in this embodiment:

[0113] 1. The transformation of STFT is originally FFT. FFT transformation is only suitable for analyzing stationary signals and quasi-stationary signals. The implementation principle formula is as follows:

[0114]

[0115]

[0116] 2. Pulse carrier frequency measurement algorithm and its FPGA implementation. The OFC optical comb frequency measurement principle is as follows:

[0117] Pulse arrival time: TOA = n o ,|STFT(n,k)|≥Threshold

[0118] Pulse width: PW = n1 - n0, |STFT(n,k)| ≥ Threshold

[0119] Pulse Amplitude:

[0120] Through the above optical comb frequency measurement solution, the optical comb RF test signals with different intervals are down-converted, and FPGA is used to achieve accurate measurement of external objects.

[0121] It should be noted that in this embodiment, cables at close distances can reflect, but cables at long distances do not reflect because the reflectivity is not enough in principle. Therefore, in the system, a safe channel for the line is set up according to the actual line, that is, the transmission line channel. This channel wraps the transmission line between the two towers, and the distance is determined by combining the position coordinates and size identified by the radar with the channel extremes.

[0122] In this embodiment, the visualization effect of the distance of the hidden danger of external damage to the transmission line can be referred to Figure 11 .

[0123] Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be completed by instructing related hardware through a program, and the corresponding program may be stored in a computer-readable storage medium.

[0124] It should be noted that although the method operations of the above embodiments are described in a particular order in the accompanying drawings, this does not require or imply that the operations must be performed in this particular order, or that all of the illustrated operations must be performed to achieve the desired results. Rather, the depicted steps may be performed in a different order. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into a single step, and / or a single step may be broken down into multiple steps.

[0125] Example 2:

[0126] like Figure 12 As shown, this embodiment provides a visual monitoring device for the distance of hidden dangers of external damage to a transmission line. The device includes an acquisition and calculation module 1201 and a visual monitoring module 1202. The specific functions of each module are as follows:

[0127] The acquisition and calculation module 1201 is used to obtain the point cloud data and image of the external intrusion object, and calculate the distance between the external intrusion object and the transmission line through the microwave photon radar body and the edge computing gateway;

[0128] The visual monitoring module 1202 is used to fuse and display the point cloud data and the image, and provide alarm data display and management, situation analysis of external damage hazards and statistical reports.

[0129] Example 3:

[0130] like Figure 13 As shown, this embodiment provides a computer device, which includes a processor 1302, a memory, an input device 1303, a display device 1304, and a network interface 1305 connected via a system bus 1301. The processor 1302 is used to provide computing and control capabilities, and the memory includes a non-volatile storage medium 1306 and an internal memory 1307. The non-volatile storage medium 1306 stores an operating system, a computer program, and a database. The internal memory 1307 provides an environment for the operation of the operating system and computer program in the non-volatile storage medium 1306. When the computer program is executed by the processor 1302, the method for visually monitoring the distance to the hidden danger of external damage to the power transmission line described in the first embodiment is implemented as follows:

[0131] Obtain point cloud data and images of intrusion objects, and calculate the distance between the intrusion objects and the transmission line through the microwave photon radar body and edge computing gateway;

[0132] The point cloud data and the image are fused and displayed, and alarm data display and management, external damage hidden danger situation analysis and statistical reports are provided.

[0133] Example 4:

[0134] This embodiment provides a storage medium, which is a computer-readable storage medium and stores a computer program. When the computer program is executed by a processor, the method for visually monitoring the distance of a transmission line external damage hazard of the above embodiment 1 is implemented as follows:

[0135] Obtain point cloud data and images of intrusion objects, and calculate the distance between the intrusion objects and the transmission line through the microwave photon radar body and edge computing gateway;

[0136] The point cloud data and the image are fused and displayed, and alarm data display and management, external damage hidden danger situation analysis and statistical reports are provided.

[0137] It should be noted that the computer-readable storage medium of the present embodiment may be a computer-readable signal medium or a computer-readable storage medium or any combination thereof. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0138] In this embodiment, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. Furthermore, in this embodiment, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable storage medium other than a computer-readable storage medium that can transmit, propagate, or transfer a program for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on a computer-readable storage medium may be transmitted using any suitable medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof.

[0139] The computer readable storage medium can be written in one or more programming languages ​​or a combination thereof to execute the computer program for performing the present embodiment, including object-oriented programming languages ​​such as Java, Python, C++, and conventional procedural programming languages ​​such as C or similar programming languages. The program can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect via the Internet).

[0140] In summary, this invention employs a calibration method based on the SIFT algorithm. By converting image matching into feature vector matching, matching points are extracted, improving the accuracy of calibration point coordinate extraction while automating calibration. This method ultimately visualizes the distance to transmission line damage hazards and accurately detects the intrusion distance of dangerous external damage objects within transmission line channels. Furthermore, it also achieves the fusion of microwave photon radar point cloud images and visible light images.

[0141] The above is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes based on the technical solution and inventive concept of the present invention within the scope disclosed by the present invention, which falls within the scope of protection of the present invention.

Claims

1. A method for visually monitoring the distance of hidden dangers of external damage to power transmission lines, characterized in that: The method comprises: Obtain point cloud data and images of intrusion objects, and calculate the distance between the intrusion objects and the transmission line through the microwave photon radar body and edge computing gateway, including: According to Hilbert filtering, the pulse amplitude modulated signal is detected to obtain a pulse modulated signal, wherein the pulse amplitude modulated signal is emitted by the microwave photon radar body and reflected by the external intrusion object; The pulse amplitude is measured by threshold detection based on the amplitude threshold value set according to the radar system's empirical signal-to-noise ratio; Update half of the measured pulse amplitude as the new threshold value; According to the new threshold value, the pulse arrival time and pulse width are measured through threshold detection, and then the distance between the intruder and the microwave photon radar body is obtained; Taking the transmission line channel as a reference, the distance between the intrusion object and the transmission line is calculated according to the distance between the intrusion object and the microwave photon radar body; Among them, the edge computing gateway provides the algorithm running environment for the above operations; The point cloud data and the image are fused and displayed, and alarm data display and management, external damage hidden danger situation analysis and statistical reports are provided.

2. The method according to claim 1, characterized in that The step of calculating the distance between the intrusion object and the power transmission line by using the microwave photon radar body and the edge computing gateway further includes: According to the radar signal instantaneous frequency measurement and solution algorithm of FPGA three-light comb, multiple frequency points after reflection are measured, and ADC+FPGA is used for real-time frequency solution.

3. The method according to claim 1, characterized in that The method also includes: tracking external intrusion objects through an edge computing gateway and a camera cloud billiard camera.

4. A visual monitoring system for the distance of hidden dangers of external damage to power transmission lines, characterized in that: The system includes an edge computing gateway, a camera cloud billiard camera and a microwave photon radar body; The edge computing gateway, the camera cloud billiard camera and the microwave photon radar body are arranged side by side on the tower angle iron through a bracket; The edge computing gateway, the camera cloud billiards camera and the microwave photon radar body are connected to the wireless network module, and the wireless network module is connected to the terminal device; The microwave photon radar body is used to collect point cloud data of external intrusion objects to detect and identify external intrusion objects, and call the camera cloud billiard camera to shoot the external intrusion objects; The camera cloud billiard camera is used to shoot external intrusion objects; The terminal device is used to implement the method described in any one of claims 1-3.

5. The system according to claim 4, characterized in that: The system also includes a solar panel, a solar pressing block, a triangular bracket, an integrated battery and a fixing fixture; There are at least two triangular brackets, which are mounted on the tower via corresponding fixing fixtures, and the triangular brackets are spaced apart from each other. The solar modules are covered on the inclined surfaces between the triangular supports by solar pressing blocks; The solar module is connected to the integrated battery; The integrated battery provides power for the edge computing gateway, the camera cloud billiard machine and the microwave photon radar body.

6. The system according to claim 4, characterized in that In the microwave photon radar body: The transmitting antenna, the power amplifier module, the first photodetector, the bandpass optical filter, the second phase modulator, the dual-bandpass optical filter, the first phase modulator, and the laser are connected in sequence; The receiving antenna, the low noise amplifier module, the third phase modulator, the optical filter, the second photodetector, the intermediate frequency filter amplifier, and the data converter are connected in sequence; The data processing and control module is connected with the data converter, intermediate frequency filter amplifier, optical filter, low noise amplifier module, laser, dual-bandpass optical filter, bandpass optical filter, power amplifier module, and microwave signal source; The microwave signal source is connected to the first phase modulator and the second phase modulator; a 1×2 coupler is connected between the first photodetector and the bandpass optical filter; The 1×2 coupler is connected to the third phase modulator.

7. A visual monitoring device for the distance of hidden dangers of external damage to power transmission lines, characterized in that: A method for visually monitoring the distance to a transmission line external damage hazard according to any one of claims 1 to 3 is applied, wherein the device comprises: The acquisition and calculation module is used to obtain the point cloud data and images of the external intrusion object, and at the same time calculate the distance between the external intrusion object and the transmission line through the microwave photon radar body and the edge computing gateway; The visual monitoring module is used to fuse and display the point cloud data and the image, and provide alarm data display and management, situation analysis of external damage hazards and statistical reports.

8. A computer device comprising a processor and a memory for storing a program executable by the processor, characterized in that: When the processor executes the program stored in the memory, the method according to any one of claims 1 to 3 is implemented.

9. A storage medium storing a program, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

Images