A transmission line information collection system based on drones

Abstract

The present invention relates to the field of cable information collection technology, and more particularly to a transmission line information collection system based on an unmanned aerial vehicle (UAV). The system comprises a transmission module, a detection module, and an analysis module. The analysis module determines the distance between the UAV and the transmission line based on magnetic field strength. In response to the distance being greater than a preset distance, the analysis module plots a function graph and, based on the properties of the function graph, modifies the preset flight path or controls the UAV to fly to an extreme point to collect information. During image information collection, the system can promptly detect, based on distance comparison results, whether the transmission line has fallen since the last information collection. If so, the system executes a second flight mode, reducing the distance to further collect information, making the data more precise and increasing the accuracy of the collected data.

Description

Technical Field

[0001] The present invention relates to the technical field of cable information collection, and in particular to a transmission line information collection system based on an unmanned aerial vehicle (UAV). Background Art

[0002] With the continuous development of my country's power industry, the transmission line network, a crucial component of the national grid and a vital national infrastructure, is expanding in both number and scale. With the continuous advancement of transmission line inspection technology, efficiency has continuously improved, from manual inspections to inspections using handheld image acquisition devices and now drone inspections. However, the images obtained during inspections require manual secondary evaluation. The complex high-altitude aerial images captured by drones make it difficult to effectively and specifically identify problem areas. Therefore, how to quickly collect information about problem areas on transmission lines has become a pressing issue.

[0003] The prior art discloses a detection device and tracking method for power frequency transmission lines and equipment, comprising: an unmanned aerial vehicle (UAV) body, a passive array magnetic induction antenna device vertically mounted on the head of the UAV body, an array scanning and acquisition control circuit mounted inside the UAV body, an attitude and distance data processor, and a flight controller. The present invention configures the passive array magnetic induction antenna device to perform real-time, high-speed sampling of the magnetic field surrounding the transmission line, and optimizes the sampling frequency and time through data analysis and comparison. This allows the data collected by the array scanning and acquisition control circuit to be sent to the attitude and distance data processors, which then control and analyze the flight control attitude. Simultaneously, the distance data processor controls the UAV's distance from the transmission line in real time. Consequently, the detection device and tracking method for power frequency transmission lines and equipment described above have the following problems: During the process of collecting transmission line information using a UAV, the curvature of the transmission line creates blind spots in the data collection process, resulting in deviations from the actual situation and low accuracy of the measured data. Summary of the Invention

[0004] To this end, the present invention provides a transmission line information collection system based on drones to overcome the problem in the prior art of collecting information through drones, in which the bending of the transmission lines will cause blind spots in the data collection process, and the collected data will deviate from the actual situation, thereby resulting in low accuracy of the measured data.

[0005] To achieve the above objectives, the present invention provides a transmission line information collection system based on a drone, comprising:

[0006] The power transmission module includes a plurality of line sub-intervals, and the line sub-intervals are separated by a plurality of navigation marks arranged on the transmission line as interval points;

[0007] The detection module is connected to the power transmission module and includes several drones for collecting images of the power transmission line and a current detection unit. The drones collect information from the power transmission module along a preset flight path. The drones have the following flight modes:

[0008] In the first flight mode, the image information of the transmission line is collected and the running distance within the line sub-section is compared with the standard distance. If there is a difference, the second flight mode is executed;

[0009] In the second flight mode, the electromagnetic field sensor provided on the drone is turned on to re-collect information of the corresponding line sub-section along the preset flight path;

[0010] an analysis module connected to the detection module, the analysis module determining the separation distance between the UAV and the power transmission line based on the magnetic field strength, and in response to the separation distance being greater than a preset distance, plotting a function graph with the flight distance on the abscissa and the separation distance on the ordinate within a preset flight path corresponding to the current line sub-interval, and executing a corresponding operation mode based on the function graph;

[0011] In response to the function graph being a unimodal distribution, the preset flight path corresponding to the line sub-interval is modified according to the drop amplitude of the transmission line;

[0012] In response to the presence of at least two maximum values ​​or minimum values ​​in the function graph, it is determined that a fault exists in the transmission line, and the analysis module controls the drone to fly to the extreme value point to collect transmission line fault information.

[0013] As a preferred technical solution for the UAV-based power transmission line information collection system, the analysis module determines the distance between the UAV and the power transmission line based on the magnetic field strength, and determines whether the preset flight path meets the requirements based on the distance, wherein:

[0014] If the separation distance is greater than the preset distance, it is determined that the preset flight path does not meet the requirements, and the magnetic field strength of the cable during the flight of the drone along the preset flight path corresponding to the current line sub-interval is obtained;

[0015] If the interval distance is less than or equal to the preset distance, it is determined that the preset flight path meets the requirements and information collection is performed.

[0016] As a preferred technical solution for the UAV-based power transmission line information collection system, the analysis module obtains the flight distance and magnetic field strength of the UAV on the preset flight path corresponding to the current line sub-interval in response to the preset flight path not meeting the requirements, and draws a function graph with the horizontal axis being the flight distance of the UAV on the preset flight path corresponding to the current line sub-interval and the vertical axis being the interval distance, taking the end point of the preset flight path corresponding to the current line sub-interval as the origin.

[0017] As a preferred technical solution for the UAV-based transmission line information collection system, the analysis module responds to the unimodal distribution of the function graph and determines that the reason why the preset flight path corresponding to the line sub-interval does not meet the requirements is that the transmission line is falling. The UAV is controlled according to the falling amplitude of the transmission line to reduce the interval distance, and the reduction amount is positively correlated with the falling amplitude.

[0018] As a preferred technical solution for the UAV-based transmission line information collection system, the analysis module, in response to the existence of at least two maximum values ​​or minimum values ​​in the function graph, determines that the reason why the preset flight path corresponding to the line sub-interval does not meet the requirements is that there may be a fault in the transmission line. The analysis module obtains the flight distance corresponding to the extreme point in the function graph and controls the UAV to fly to the corresponding position to obtain fault information.

[0019] As an optimal technical solution for the UAV-based power transmission line information collection system, the UAV further includes: an infrared sensor and an ultrasonic sensor.

[0020] As an optimal technical solution for the UAV-based power transmission line information collection system, the analysis module verifies the detection result of the interval distance according to the ultrasonic round-trip time measured by the ultrasonic sensor.

[0021] As an optimal technical solution for the UAV-based power transmission line information collection system, the analysis module establishes an electromagnetic field distribution law model based on the relationship between the current, voltage and spacing distance of the transmission line as input. If the magnetic field strength, current and voltage are input, the spacing distance is output.

[0022] As an optimal technical solution for the UAV-based power transmission line information acquisition system, the current detection unit is configured as a Rogowski coil current sensor.

[0023] Compared to existing technologies, the present invention offers the advantage of reducing the risk of power line sag during inspections due to age, dew, thermal expansion and contraction, or ice. Over time, when drones collect information along a preset flight path, the collected data may deviate, adversely affecting subsequent data analysis. The present invention compares the interval distance with the preset distance to determine whether the preset flight path meets the requirements. If not, the preset flight path is adjusted, resulting in more accurate data collected by the drone along the adjusted preset flight path. On the other hand, in actual use, the transmission line should be a smooth curve due to its own gravity. The distance change curve between the preset flight route and the transmission line should also be a smooth curve. Therefore, the electric field strength of the transmission line should also satisfy the gradual change of the smooth curve. If there is an abnormality in the transmission line, the electric field will change significantly, the function graph will not be smooth and there will be at least two maximum or minimum values. At this time, the drone is controlled to fly to the extreme point and the information at the extreme point is collected. The abnormal data at the extreme point can be analyzed first, and the data at the extreme point can be collected in a focused manner, rather than collecting information as a whole, thereby increasing the accuracy of the collected data.

[0024] Furthermore, the present invention can select the first flight mode and the second flight mode to promptly detect whether the transmission line has fallen since the last information collection based on the comparison result of the operating distance and the standard distance when collecting image information. If so, the second flight mode is executed to further collect information by reducing the interval distance, making the data more accurate. In addition, since the extreme point data is collected in a focused manner, subsequent data analysis can give priority to analyzing the data at the extreme points, thereby increasing the speed of subsequent data processing and the practicality of the collected data. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 1 is a structural block diagram of a power transmission line information collection system based on a drone in an embodiment of the present invention;

[0026] Figure 2 This is a flow chart for determining whether the preset flight path meets the requirements based on the separation distance according to an embodiment of the present invention;

[0027] Figure 3 This is a flow chart of determining the adjustment method of the spacing distance according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0029] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0030] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside", and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the accompanying drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0031] Furthermore, it should be noted that, in the description of the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0032] See also Figure 1 As shown in FIG, which is a structural block diagram of a transmission line information collection system based on a drone in an embodiment of the present invention, the transmission line information collection system based on a drone includes:

[0033] The power transmission module includes a plurality of line sub-intervals, and the line sub-intervals are separated by a plurality of navigation marks arranged on the transmission line as interval points;

[0034] The detection module is connected to the power transmission module and includes several drones for collecting images of the power transmission line and a current detection unit. The drones collect information about the power transmission module along a preset flight path. The drones have the following flight modes:

[0035] The first flight mode collects image information of the transmission line and compares the operating distance within the line sub-interval with the standard distance. If there is a difference, the second flight mode is executed; the value of the standard distance is: the flight distance on the preset flight path corresponding to the last information collection when the drone flew to the interval point.

[0036] In the second flight mode, the electromagnetic field sensor installed on the drone is turned on to re-collect information on the corresponding line sub-interval according to the preset flight path.

[0037] In the above embodiment, during the last information collection, the drone collected a navigation mark after flying a certain distance. This time, after the drone flew the same distance, it did not collect the corresponding navigation mark or collected the corresponding navigation mark in advance, indicating that the cable may have further fallen during the two information collection periods. At this time, only by collecting image information, it may be impossible to collect information on the transmission line. At this time, the second flight mode is used to further collect information on the transmission line, so that the collected data is more consistent with the actual situation of the transmission line, thereby increasing the accuracy of the collected data.

[0038] an analysis module connected to the detection module, the analysis module determining the separation distance between the UAV and the power transmission line based on the magnetic field strength, and in response to the separation distance being greater than a preset distance, plotting a function graph with the flight distance on the abscissa and the separation distance on the ordinate within a preset flight path corresponding to the current line sub-interval, and executing a corresponding operation mode according to the function graph;

[0039] In response to the function graph being a unimodal distribution, the preset flight path corresponding to the line sub-interval is modified according to the drop amplitude of the transmission line;

[0040] In response to the presence of at least two maximum values ​​or minimum values ​​in the function graph, it is determined that a fault exists in the transmission line, and the analysis module controls the drone to fly to the extreme value point to collect transmission line fault information.

[0041] It should be understood that the second flight mode is executed only if a difference occurs between the running distance and the standard distance in the first flight mode. In this embodiment, the analysis module only works in the second flight mode.

[0042] Specifically, navigation marks are points pre-set on the transmission line. The optional locations are conductor intersections, insulator nodules, lightning arresters, conductor identification and color markings, reflective signs and safety warning signs, and bird-proofing devices. The specific locations are determined based on actual conditions.

[0043] In the above embodiment, accurate data collection is performed in combination with the flight mode and the electromagnetic field sensor, so that the operating status of the transmission line can be obtained in a timely manner. In particular, when an abnormality is found in the line (such as falling or failure), a timely response can be made, and the corresponding flight mode can be adopted to locate the fault and collect data, thereby reducing the impact of the fault location data on the overall data, thereby increasing the accuracy of the measured data.

[0044] See also Figure 2 As shown in FIG, it is a flow chart for determining whether a preset flight path meets the requirements based on the separation distance in an embodiment of the present invention, including:

[0045] If the separation distance is greater than the preset distance, it is determined that the preset flight path does not meet the requirements, and the magnetic field strength of the cable during the flight of the drone along the preset flight path corresponding to the current line sub-interval is obtained;

[0046] If the interval distance is less than or equal to the preset distance, it is determined that the preset flight path meets the requirements and information collection is performed.

[0047] Specifically, the preset distance is selected based on actual conditions and is determined based on flight altitude, power facility installation, environmental factors, mission requirements, sensor assistance, and regulatory requirements. In this embodiment, the transmission line (transmission voltage 35kV) and the minimum safe distance are 10 meters. Considering the drone's inherent conditions, the maximum separation distance is 20 meters to ensure electrical safety and image capture clarity. Therefore, during actual acquisition, the separation distance ranges from 10 to 20 meters. On this basis, to reserve a safe operating space, the preset distance in this embodiment is 18 meters, and the initial separation distance of the drones is 15 meters.

[0048] Specifically, the present invention compares the interval distance with the preset distance to determine whether the preset flight path meets the requirements, thereby making subsequent adjustments to the preset flight route to make the collected data more accurate.

[0049] Furthermore, in response to the preset flight path not meeting the requirements, the analysis module obtains the flight distance and magnetic field strength of the UAV on the preset flight path corresponding to the current line sub-interval, and takes the end point of the preset flight path corresponding to the current line sub-interval as the origin to draw a function graph with the horizontal axis being the flight distance of the UAV on the preset flight path corresponding to the current line sub-interval and the vertical axis being the interval distance, and obtains the extreme value points in the function graph.

[0050] Specifically, if an abnormality occurs in the transmission line, the electric field will change significantly, the function graph will not be smooth and extreme values ​​will appear. By obtaining the extreme points of the function graph, the flight distance of the preset flight path corresponding to the extreme point in the current line sub-interval can be obtained, thereby obtaining the specific position of the extreme point, which facilitates subsequent drones to collect information on the extreme point position. There is a certain difference between the data at the extreme point position and the data at other positions. If the overall detection is performed directly, the data at the extreme point will affect the overall monitoring results. By focusing on the collection of extreme point data, the impact on the information collection of other normally operating parts can be reduced, thereby increasing the accuracy of the collected data.

[0051] Furthermore, in response to the unimodal distribution of the function graph, the analysis module determines that the reason why the preset flight path corresponding to the line sub-interval does not meet the requirements is that the transmission line is falling. According to the falling amplitude of the transmission line, the drone is controlled to reduce the interval distance, and the reduction amount is positively correlated with the falling amplitude.

[0052] In the above embodiment, a unimodal distribution indicates that within any range, the data or function value has a peak, and then gradually decreases as the value or variable changes, exhibiting a single fluctuation trend. During flight, due to the downward movement of the transmission line, if the drone departs from either end of the transmission line and the transmission tower, the separation distance gradually increases with flight distance. After the drone passes the lowest point of the transmission line, the separation distance gradually decreases. Therefore, the curve of the function graph for flight between transmission towers should be a unimodal distribution, with the separation distance first increasing and then decreasing with increasing flight distance. The selection of the line subinterval is to select a portion of the curve of the function graph for flight between transmission towers, which should also satisfy the unimodal distribution.

[0053] See also Figure 3 As shown, it is a flow chart of determining the adjustment method of the spacing distance in an embodiment of the present invention, including:

[0054] If the falling amplitude is greater than the preset falling amplitude, the first adjustment coefficient is selected to reduce the interval distance to a corresponding value.

[0055] If the falling amplitude is less than or equal to the preset falling amplitude, the second adjustment coefficient is selected to reduce the interval distance to the corresponding value.

[0056] Furthermore, in this embodiment, the initial separation distance is 15 meters and the minimum safety distance is 10 meters. Therefore, the UAV can be adjusted within the range of 10 meters to 15 meters. Since the purpose of the adjustment is to reduce the separation distance, the selection range of the adjustment coefficient is between (0.67, 1.0). In this embodiment, the first adjustment coefficient is 0.85 and the second adjustment coefficient is 0.95. When selecting, it is sufficient that the reduction amount is positively correlated with the falling amplitude. If the first adjustment coefficient is selected to adjust the separation distance, the adjusted separation distance is: 15×0.85=12.75 meters.

[0057] In detail, the falling amplitude is the ratio of the vertical distance from the starting falling position to the extreme point to the horizontal distance. In this embodiment, the preset falling amplitude is 0.15. In implementation, the preset falling amplitude can be adaptively adjusted according to the actual scenario (weight and tensile strength of the transmission line per unit length) to meet the requirement that the transmission line does not meet the corresponding laying standard when the falling amplitude reaches the preset falling amplitude. No further details will be given here.

[0058] Furthermore, in response to the presence of at least two maximum or minimum values ​​in the function graph, the analysis module determines that the reason why the preset flight path corresponding to the line sub-interval does not meet the requirements is that there may be a fault in the transmission line. The analysis module obtains the flight distance corresponding to the extreme point in the function graph and controls the drone to fly to the corresponding position to obtain fault information.

[0059] In detail, during the actual use of the transmission line, the natural fall appears as a smooth curve, and the distance between the preset flight path and the transmission line also increases slowly, without sudden increases or decreases. If an abnormality occurs in the transmission line, the electric field will change significantly. At this time, the interval distance calculated based on the magnetic field will increase or decrease suddenly, and the function graph will be uneven and have at least two maximum or minimum values. At this time, the drone is controlled to fly to the extreme point and the information at the extreme point is collected. The abnormal data at the extreme point can be analyzed first, which increases the speed of subsequent data analysis and thus increases the practicality of the collected data.

[0060] Furthermore, the drone also includes: an infrared sensor and an ultrasonic sensor.

[0061] Specifically, the analysis module verifies the detection result of the separation distance based on the ultrasonic round-trip time measured by the ultrasonic sensor. If the result deviation is greater than the deviation allowed by the transmission line data specification, the detection result of the separation distance is determined to be inaccurate.

[0062] In detail, the analysis module establishes an electromagnetic field distribution law model based on the relationship between the current, voltage and spacing distance of the transmission line as input, and outputs the spacing distance if the magnetic field strength, voltage and current in the transmission line measured by the current detection unit are input.

[0063] Specifically, the electromagnetic field distribution law model of the transmission line can be established through numerical simulation methods: (FDTD, FEM, BEM), electromagnetic field analysis software (COMSOL, ANSYS HFSS) or modeling methods based on experimental data, all of which are existing technologies and will not be described in detail here.

[0064] Specifically, the current detection unit is configured as a Rogowski coil current sensor, fixedly mounted on the transmission line at the appropriate location, preferably at the connection point of the transmission tower. The Rogowski coil current sensor has a wideband measurement capability and can accurately measure the power frequency current and any high-frequency harmonic currents in the transmission line. The measured data is filtered, amplified, and transmitted to the analysis module, providing an accurate basis for electromagnetic field distribution calculations and fault diagnosis.

[0065] The determination flow chart and structure block diagram in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the device, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment, or a part of code, and the module, program segment, or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of boxes in the block diagram and / or flow chart, can be implemented with a dedicated hardware-based device that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0066] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0067] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A transmission line information collection system based on drones, characterized in that: include: The power transmission module includes a plurality of line sub-intervals, and the line sub-intervals are separated by a plurality of navigation marks arranged on the transmission line as interval points; The detection module is connected to the power transmission module and includes several drones for collecting images of the power transmission line and a current detection unit. The drones collect information from the power transmission module along a preset flight path. The drones have the following flight modes: In the first flight mode, image information of the transmission line is collected and the operating distance within the line sub-section is compared with the standard distance. If there is a difference, the second flight mode is executed; In the second flight mode, the electromagnetic field sensor provided on the drone is turned on to re-collect information of the corresponding line sub-section along the preset flight path; an analysis module connected to the detection module, the analysis module determining the separation distance between the UAV and the power transmission line based on the magnetic field strength, and in response to the separation distance being greater than a preset distance, plotting a function graph with the flight distance on the abscissa and the separation distance on the ordinate within a preset flight path corresponding to the current line sub-interval, and executing a corresponding operation mode based on the function graph; In response to the function graph being a unimodal distribution, the preset flight path corresponding to the line sub-interval is modified according to the drop amplitude of the transmission line; In response to the presence of at least two maximum values ​​or minimum values ​​in the function graph, it is determined that a fault exists in the transmission line, and the analysis module controls the drone to fly to the extreme value point to collect transmission line fault information.

2. The UAV-based power transmission line information acquisition system according to claim 1, characterized in that: The analysis module determines the distance between the drone and the power transmission line based on the magnetic field strength, and determines whether the preset flight path meets the requirements based on the distance, wherein: If the separation distance is greater than the preset distance, it is determined that the preset flight path does not meet the requirements, and the magnetic field strength of the cable during the flight of the drone along the preset flight path corresponding to the current line sub-interval is obtained; If the interval distance is less than or equal to the preset distance, it is determined that the preset flight path meets the requirements and information collection is performed.

3. The UAV-based power transmission line information acquisition system according to claim 2, characterized in that: In response to the preset flight path not meeting the requirements, the analysis module obtains the flight distance and magnetic field strength of the UAV on the preset flight path corresponding to the current route sub-interval, and draws a function graph with the horizontal axis being the flight distance of the UAV on the preset flight path corresponding to the current route sub-interval and the vertical axis being the interval distance, with the endpoint of the preset flight path corresponding to the current route sub-interval as the origin.

4. The UAV-based power transmission line information acquisition system according to claim 3, characterized in that: In response to the function graph showing a unimodal distribution, the analysis module determines that the reason why the preset flight path corresponding to the line sub-interval does not meet the requirements is that the transmission line is falling. The drone is controlled to reduce the interval distance according to the falling amplitude of the transmission line, and the reduction amount is positively correlated with the falling amplitude.

5. The UAV-based power transmission line information acquisition system according to claim 4, characterized in that: In response to the presence of at least two maximum values ​​or minimum values ​​in the function graph, the analysis module determines that the reason why the preset flight path corresponding to the line sub-interval does not meet the requirements is that there may be a fault in the transmission line. The analysis module obtains the flight distance corresponding to the extreme point in the function graph and controls the drone to fly to the corresponding position to obtain fault information.

6. The UAV-based power transmission line information acquisition system according to claim 1, characterized in that: The drone also includes an infrared sensor and an ultrasonic sensor.

7. The UAV-based power transmission line information acquisition system according to claim 1, characterized in that: The analysis module verifies the detection result of the interval distance according to the ultrasonic round-trip time measured by the ultrasonic sensor.

8. The UAV-based power transmission line information acquisition system according to claim 1, characterized in that: The analysis module establishes an electromagnetic field distribution law model based on the relationship between the current, voltage and the spacing distance of the transmission line as input, and outputs the spacing distance if the magnetic field strength, current and voltage are input.

9. The UAV-based power transmission line information collection system according to claim 1, characterized in that: The current detection unit is configured as a Rogowski coil current sensor.

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