CN114326783A - Unmanned aerial vehicle inspection line planning method for distributed photovoltaic power station - Google Patents
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Abstract
The invention relates to the technical field of unmanned aerial vehicle inspection, and discloses a method for planning inspection routes of an unmanned aerial vehicle of a distributed photovoltaic power station. According to the method for planning the routing of the unmanned aerial vehicle inspection line of the distributed photovoltaic power station, the unmanned aerial vehicle station A, the unmanned aerial vehicle station B and the infrared sensor are built in the photovoltaic power station, when the method is used, the three-dimensional point cloud data model is used for realizing automatic measurement of distances among wires, trees and buildings and automatic early warning analysis of hidden danger of a channel, meanwhile, multiple groups of unmanned aerial vehicles fly through the routing inspection line of X1 or X2, the routing speed of the unmanned aerial vehicles can be increased to the greatest extent, the multiple unmanned aerial vehicles are matched with one another, the routing quality can be improved, and compared with the routing inspection of a single unmanned aerial vehicle through an S-shaped line, the routing inspection line has the advantages of being few in errors, fast in routing and clear in imaging.
Description
Technical Field
The invention relates to the technical field of unmanned aerial vehicle inspection, in particular to a distributed type photovoltaic power station unmanned aerial vehicle inspection line planning method.
Background
Photovoltaic power generation occupies very big proportion as important new forms of energy power generation in new forms of energy power generation, compares with centralized photovoltaic, and distributed photovoltaic power is in user's side, and the electricity generation supplies local load, can effectively reduce the reliance to the electric wire netting power supply, reduces the circuit loss, and at the in-process that photovoltaic power plant patrolled and examined, often need carry out the planning that unmanned aerial vehicle patrolled and examined the circuit.
However, the present majority of unmanned aerial vehicles patrol and examine the circuit and often adopt single unmanned aerial vehicle to patrol and examine with "S" type circuit, should patrol and examine the circuit and not only have the problem that speed is slow, the formation of image is poor and the error is many, can not carry out the self-processing of data moreover, still need artifical naked eye to discern, can not reduce staff' S intensity of labour.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a planning method for an inspection line of a distributed photovoltaic power station unmanned aerial vehicle, which aims to solve the problems that most of the existing unmanned aerial vehicle inspection lines are often inspected by a single unmanned aerial vehicle through an S-shaped line, the inspection line has the problems of low speed, poor imaging and more errors, data self-processing cannot be carried out, manual naked eyes are required for identification, and the labor intensity of workers cannot be reduced.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: a routing planning method for an unmanned aerial vehicle inspection line of a distributed photovoltaic power station comprises the steps of unmanned aerial vehicle site A construction, unmanned aerial vehicle site B construction, photovoltaic solar panel construction, infrared sensor construction and unmanned aerial vehicle use:
the method comprises the following steps: scanning the photovoltaic power stations with the aim of covering all the photovoltaic power stations, and constructing an unmanned aerial vehicle station A, an unmanned aerial vehicle station B, a photovoltaic solar panel and an infrared sensor according to the terrain;
step two: a plurality of same photovoltaic solar panels are arranged in the middle of the photovoltaic power station, and the angle adjustment of the photovoltaic solar panels is completed;
step three: the infrared sensor is fixedly arranged among the photovoltaic solar panels;
step four: an unmanned aerial vehicle station A is established on the left side of the photovoltaic power station;
step five: an unmanned aerial vehicle station B is constructed on the right side of the photovoltaic power station;
step six: the unmanned aerial vehicle station A or the unmanned aerial vehicle station B is used as a starting point and an end point, the routing inspection route of the unmanned aerial vehicle in the photovoltaic power station is X1 or X2 as constraint, and the flying paths of the unmanned aerial vehicle are stored in the routing inspection routes X1 and X2.
Preferably, unmanned aerial vehicle website A and unmanned aerial vehicle website B's inside includes wireless charging module, GPS transmitting module, wireless transmission module and infrared receiving module, and wherein wireless charging module is wireless connection with unmanned aerial vehicle, and wireless transmission module is wireless connection with unmanned aerial vehicle, wireless transmission module adopts 5G communication module.
Preferably, unmanned aerial vehicle's inside contains GPS orientation module, control module, infrared imaging module, infrared emission module, full stack AI vision processing module, ultraviolet detector, miniature camera, laser radar, camera and wireless transmission module, and wherein wireless transmission module adopts 5G communication module.
Preferably, the route is patrolled and examined to X1 and is unmanned aerial vehicle website A as the starting point, and unmanned aerial vehicle website B is the terminal point, X2 is patrolled and examined the route and is unmanned aerial vehicle website B as the starting point, and unmanned aerial vehicle website B is the terminal point, X1 is the same with X2's distance.
Preferably, the number of unmanned aerial vehicles is the same as the number of photovoltaic solar panels on the side of the unmanned aerial vehicle site A or the unmanned aerial vehicle site B.
Preferably, unmanned aerial vehicle's flying height is 3 ~ 5 meters, and unmanned aerial vehicle's flying speed is 1 ~ 2m/s, unmanned aerial vehicle and ground are horizontal flight.
Preferably, photovoltaic solar panel is the inside of rectangle distribution at photovoltaic power plant, and the distance between every photovoltaic solar panel is the same, and infrared sensor equidistant distribution is between photovoltaic solar panel.
Preferably, the processing steps of the full-stack AI visual processing module are as follows:
the method comprises the following steps: shooting pictures and videos inside the photovoltaic power station by using a camera;
step two: sending the pictures and videos to an unmanned aerial vehicle site A or an unmanned aerial vehicle site B through a 5G communication module in the unmanned aerial vehicle;
step three: the server in the unmanned aerial vehicle station A or the unmanned aerial vehicle station B automatically analyzes the image and the video data, compresses and stores the image, and performs fault detection and foreign matter analysis on the photovoltaic power station once;
step four: and transmitting the obtained data to a cloud platform, and timely notifying maintenance personnel to maintain when the abnormality is detected.
Preferably, the processing steps of carrying the laser radar device by the unmanned aerial vehicle are as follows;
the method comprises the following steps: the method comprises the following steps of taking an inspection route X1 or X2 as a flight path, quickly establishing a three-dimensional point cloud data model, and realizing automatic measurement of distances between a photovoltaic solar panel and trees and between buildings and automatic early warning analysis of hidden channel hazards;
step two: the infrared imaging module can perform infrared spectrum image analysis on the heating abnormal points with the surrounding temperature exceeding the surface temperature, so that whether the photovoltaic solar panel has faults or not can be obtained;
step three: when the photovoltaic solar panel is detected to have abnormal heating value, the infrared imaging data is transmitted to an unmanned aerial vehicle station A or an unmanned aerial vehicle station B through a 5G communication module in the unmanned aerial vehicle;
step four: and transmitting the obtained data to a cloud platform, and timely informing maintenance personnel to maintain.
Compared with the prior art, the invention provides a method for planning the routing of the unmanned aerial vehicle inspection line of the distributed photovoltaic power station, which has the following beneficial effects: the unmanned aerial vehicle inspection route planning method for the distributed photovoltaic power station is characterized in that an unmanned aerial vehicle site A, an unmanned aerial vehicle site B and an infrared sensor are built in the photovoltaic power station, when the unmanned aerial vehicle inspection route planning method is used, a three-dimensional point cloud data model is used for realizing automatic measurement of distances among wires, trees and buildings and automatic early warning analysis of hidden danger of a channel, meanwhile, a plurality of groups of unmanned aerial vehicles fly through an X1 or X2 inspection route, the inspection speed of the unmanned aerial vehicles can be increased to the maximum extent, and the quality of inspection can be improved due to the mutual cooperation of the unmanned aerial vehicles, compared with the inspection through an S-shaped route of a single unmanned aerial vehicle, the inspection route of the invention has the characteristics of less errors, fast inspection and clear imaging, meanwhile, a full stack AI vision processing module in the unmanned aerial vehicle can compress and store images, perform various fault detection and foreign matter analysis at the same time, and analyze the result according to a server, greatly reducing the labor intensity of the workers.
Drawings
FIG. 1 is a schematic view of a photovoltaic solar panel distribution structure according to the present invention;
FIG. 2 is a first flow chart of the present invention;
FIG. 3 is a second flow chart of the present invention;
FIG. 4 is a third schematic flow chart of the present invention;
FIG. 5 is a fourth schematic flow chart of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments; all other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The first embodiment is as follows: please refer to FIGS. 1-5
A routing planning method for an unmanned aerial vehicle inspection line of a distributed photovoltaic power station comprises the steps of unmanned aerial vehicle site A construction, unmanned aerial vehicle site B construction, photovoltaic solar panel construction, infrared sensor construction and unmanned aerial vehicle use:
the method comprises the following steps: scanning the photovoltaic power stations with the aim of covering all the photovoltaic power stations, and constructing an unmanned aerial vehicle station A, an unmanned aerial vehicle station B, a photovoltaic solar panel and an infrared sensor according to the terrain;
step two: a plurality of same photovoltaic solar panels are arranged in the middle of the photovoltaic power station, and the angle adjustment of the photovoltaic solar panels is completed;
step three: the infrared sensor is fixedly arranged among the photovoltaic solar panels;
step four: an unmanned aerial vehicle station A is established on the left side of the photovoltaic power station;
step five: an unmanned aerial vehicle station B is constructed on the right side of the photovoltaic power station;
step six: the unmanned aerial vehicle station A or the unmanned aerial vehicle station B is used as a starting point and an end point, the routing inspection route of the unmanned aerial vehicle in the photovoltaic power station is X1 or X2 as constraint, and the flying paths of the unmanned aerial vehicle are stored in the routing inspection routes X1 and X2.
Further, unmanned aerial vehicle website A and unmanned aerial vehicle website B's inside includes wireless charging module, GPS transmitting module, wireless transmission module and infrared receiving module, and wherein wireless charging module is wireless connection with unmanned aerial vehicle, and wireless transmission module adopts 5G communication module.
Further, unmanned aerial vehicle's inside contains GPS orientation module, control module, infrared imaging module, infrared emission module, full stack AI vision processing module, ultraviolet detector, miniature camera, laser radar, camera and wireless transmission module, and wherein wireless transmission module adopts 5G communication module.
Further, X1 patrols and examines the route and be unmanned aerial vehicle website A as the starting point, and unmanned aerial vehicle website B is the terminal point, and X2 patrols and examines the route and be unmanned aerial vehicle website B as the starting point, and unmanned aerial vehicle website B is the terminal point, and X1 is the same with X2's distance.
Further, the number of unmanned aerial vehicles is the same as the number of photovoltaic solar panels on the side of the unmanned aerial vehicle site A or the unmanned aerial vehicle site B.
Further, the flying height of the unmanned aerial vehicle is 3 meters, the flying speed of the unmanned aerial vehicle is 1m/s, and the unmanned aerial vehicle and the ground fly horizontally.
Further, photovoltaic solar panel is the inside of rectangle distribution at photovoltaic power plant, and the distance between every photovoltaic solar panel is the same, and infrared sensor equidistant distribution is between photovoltaic solar panel.
Further, the processing steps of the full-stack AI visual processing module are as follows:
the method comprises the following steps: shooting pictures and videos inside the photovoltaic power station by using a camera;
step two: sending the pictures and videos to an unmanned aerial vehicle site A or an unmanned aerial vehicle site B through a 5G communication module in the unmanned aerial vehicle;
step three: the server in the unmanned aerial vehicle station A or the unmanned aerial vehicle station B automatically analyzes the image and the video data, compresses and stores the image, and performs fault detection and foreign matter analysis on the photovoltaic power station once;
step four: and transmitting the obtained data to a cloud platform, and timely notifying maintenance personnel to maintain when the abnormality is detected.
Further, the processing steps of carrying the laser radar device by the unmanned aerial vehicle are as follows;
the method comprises the following steps: the method comprises the following steps of taking an inspection route X1 or X2 as a flight path, quickly establishing a three-dimensional point cloud data model, and realizing automatic measurement of distances between a photovoltaic solar panel and trees and between buildings and automatic early warning analysis of hidden channel hazards;
step two: the infrared imaging module can perform infrared spectrum image analysis on the heating abnormal points with the surrounding temperature exceeding the surface temperature, so that whether the photovoltaic solar panel has faults or not can be obtained;
step three: when the photovoltaic solar panel is detected to have abnormal heating value, the infrared imaging data is transmitted to an unmanned aerial vehicle station A or an unmanned aerial vehicle station B through a 5G communication module in the unmanned aerial vehicle;
step four: and transmitting the obtained data to a cloud platform, and timely informing maintenance personnel to maintain.
Example two: please refer to FIGS. 1-5
A routing planning method for an unmanned aerial vehicle inspection line of a distributed photovoltaic power station comprises the steps of unmanned aerial vehicle site A construction, unmanned aerial vehicle site B construction, photovoltaic solar panel construction, infrared sensor construction and unmanned aerial vehicle use:
the method comprises the following steps: scanning the photovoltaic power stations with the aim of covering all the photovoltaic power stations, and constructing an unmanned aerial vehicle station A, an unmanned aerial vehicle station B, a photovoltaic solar panel and an infrared sensor according to the terrain;
step two: a plurality of same photovoltaic solar panels are arranged in the middle of the photovoltaic power station, and the angle adjustment of the photovoltaic solar panels is completed;
step three: the infrared sensor is fixedly arranged among the photovoltaic solar panels;
step four: an unmanned aerial vehicle station A is established on the left side of the photovoltaic power station;
step five: an unmanned aerial vehicle station B is constructed on the right side of the photovoltaic power station;
step six: the unmanned aerial vehicle station A or the unmanned aerial vehicle station B is used as a starting point and an end point, the routing inspection route of the unmanned aerial vehicle in the photovoltaic power station is X1 or X2 as constraint, and the flying paths of the unmanned aerial vehicle are stored in the routing inspection routes X1 and X2.
Further, unmanned aerial vehicle website A and unmanned aerial vehicle website B's inside includes wireless charging module, GPS transmitting module, wireless transmission module and infrared receiving module, and wherein wireless charging module is wireless connection with unmanned aerial vehicle, and wireless transmission module adopts 5G communication module.
Further, unmanned aerial vehicle's inside contains GPS orientation module, control module, infrared imaging module, infrared emission module, full stack AI vision processing module, ultraviolet detector, miniature camera, laser radar, camera and wireless transmission module, and wherein wireless transmission module adopts 5G communication module.
Further, X1 patrols and examines the route and be unmanned aerial vehicle website A as the starting point, and unmanned aerial vehicle website B is the terminal point, and X2 patrols and examines the route and be unmanned aerial vehicle website B as the starting point, and unmanned aerial vehicle website B is the terminal point, and X1 is the same with X2's distance.
Further, the number of unmanned aerial vehicles is the same as the number of photovoltaic solar panels on the side of the unmanned aerial vehicle site A or the unmanned aerial vehicle site B.
Furthermore, the flying height of the unmanned aerial vehicle is 4 meters, the flying speed of the unmanned aerial vehicle is 1.5m/s, and the unmanned aerial vehicle and the ground fly horizontally.
Further, photovoltaic solar panel is the inside of rectangle distribution at photovoltaic power plant, and the distance between every photovoltaic solar panel is the same, and infrared sensor equidistant distribution is between photovoltaic solar panel.
Further, the processing steps of the full-stack AI visual processing module are as follows:
the method comprises the following steps: shooting pictures and videos inside the photovoltaic power station by using a camera;
step two: sending the pictures and videos to an unmanned aerial vehicle site A or an unmanned aerial vehicle site B through a 5G communication module in the unmanned aerial vehicle;
step three: the server in the unmanned aerial vehicle station A or the unmanned aerial vehicle station B automatically analyzes the image and the video data, compresses and stores the image, and performs fault detection and foreign matter analysis on the photovoltaic power station once;
step four: and transmitting the obtained data to a cloud platform, and timely notifying maintenance personnel to maintain when the abnormality is detected.
Further, the processing steps of carrying the laser radar device by the unmanned aerial vehicle are as follows;
the method comprises the following steps: the method comprises the following steps of taking an inspection route X1 or X2 as a flight path, quickly establishing a three-dimensional point cloud data model, and realizing automatic measurement of distances between a photovoltaic solar panel and trees and between buildings and automatic early warning analysis of hidden channel hazards;
step two: the infrared imaging module can perform infrared spectrum image analysis on the heating abnormal points with the surrounding temperature exceeding the surface temperature, so that whether the photovoltaic solar panel has faults or not can be obtained;
step three: when the photovoltaic solar panel is detected to have abnormal heating value, the infrared imaging data is transmitted to an unmanned aerial vehicle station A or an unmanned aerial vehicle station B through a 5G communication module in the unmanned aerial vehicle;
step four: and transmitting the obtained data to a cloud platform, and timely informing maintenance personnel to maintain.
Example three: please refer to FIGS. 1-5
A routing planning method for an unmanned aerial vehicle inspection line of a distributed photovoltaic power station comprises the steps of unmanned aerial vehicle site A construction, unmanned aerial vehicle site B construction, photovoltaic solar panel construction, infrared sensor construction and unmanned aerial vehicle use:
the method comprises the following steps: scanning the photovoltaic power stations with the aim of covering all the photovoltaic power stations, and constructing an unmanned aerial vehicle station A, an unmanned aerial vehicle station B, a photovoltaic solar panel and an infrared sensor according to the terrain;
step two: a plurality of same photovoltaic solar panels are arranged in the middle of the photovoltaic power station, and the angle adjustment of the photovoltaic solar panels is completed;
step three: the infrared sensor is fixedly arranged among the photovoltaic solar panels;
step four: an unmanned aerial vehicle station A is established on the left side of the photovoltaic power station;
step five: an unmanned aerial vehicle station B is constructed on the right side of the photovoltaic power station;
step six: the unmanned aerial vehicle station A or the unmanned aerial vehicle station B is used as a starting point and an end point, the routing inspection route of the unmanned aerial vehicle in the photovoltaic power station is X1 or X2 as constraint, and the flying paths of the unmanned aerial vehicle are stored in the routing inspection routes X1 and X2.
Further, unmanned aerial vehicle website A and unmanned aerial vehicle website B's inside includes wireless charging module, GPS transmitting module, wireless transmission module and infrared receiving module, and wherein wireless charging module is wireless connection with unmanned aerial vehicle, and wireless transmission module adopts 5G communication module.
Further, unmanned aerial vehicle's inside contains GPS orientation module, control module, infrared imaging module, infrared emission module, full stack AI vision processing module, ultraviolet detector, miniature camera, laser radar, camera and wireless transmission module, and wherein wireless transmission module adopts 5G communication module.
Further, X1 patrols and examines the route and be unmanned aerial vehicle website A as the starting point, and unmanned aerial vehicle website B is the terminal point, and X2 patrols and examines the route and be unmanned aerial vehicle website B as the starting point, and unmanned aerial vehicle website B is the terminal point, and X1 is the same with X2's distance.
Further, the number of unmanned aerial vehicles is the same as the number of photovoltaic solar panels on the side of the unmanned aerial vehicle site A or the unmanned aerial vehicle site B.
Furthermore, the flying height of the unmanned aerial vehicle is 5 meters, the flying speed of the unmanned aerial vehicle is 2m/s, and the unmanned aerial vehicle and the ground fly horizontally.
Further, photovoltaic solar panel is the inside of rectangle distribution at photovoltaic power plant, and the distance between every photovoltaic solar panel is the same, and infrared sensor equidistant distribution is between photovoltaic solar panel.
Further, the processing steps of the full-stack AI visual processing module are as follows:
the method comprises the following steps: shooting pictures and videos inside the photovoltaic power station by using a camera;
step two: sending the pictures and videos to an unmanned aerial vehicle site A or an unmanned aerial vehicle site B through a 5G communication module in the unmanned aerial vehicle;
step three: the server in the unmanned aerial vehicle station A or the unmanned aerial vehicle station B automatically analyzes the image and the video data, compresses and stores the image, and performs fault detection and foreign matter analysis on the photovoltaic power station once;
step four: and transmitting the obtained data to a cloud platform, and timely notifying maintenance personnel to maintain when the abnormality is detected.
Further, the processing steps of carrying the laser radar device by the unmanned aerial vehicle are as follows;
the method comprises the following steps: the method comprises the following steps of taking an inspection route X1 or X2 as a flight path, quickly establishing a three-dimensional point cloud data model, and realizing automatic measurement of distances between a photovoltaic solar panel and trees and between buildings and automatic early warning analysis of hidden channel hazards;
step two: the infrared imaging module can perform infrared spectrum image analysis on the heating abnormal points with the surrounding temperature exceeding the surface temperature, so that whether the photovoltaic solar panel has faults or not can be obtained;
step three: when the photovoltaic solar panel is detected to have abnormal heating value, the infrared imaging data is transmitted to an unmanned aerial vehicle station A or an unmanned aerial vehicle station B through a 5G communication module in the unmanned aerial vehicle;
step four: and transmitting the obtained data to a cloud platform, and timely informing maintenance personnel to maintain. To sum up, in the first to third embodiments, when the flying height of the unmanned aerial vehicle is 4 meters, the flying speed of the unmanned aerial vehicle is 1.5m/s, the unmanned aerial vehicle and the ground fly horizontally, and the route X1 or X2 is patrolled and examined, the patrolling speed is faster, the imaging resolution is better, and the full stack AI vision processing and the three-dimensional point cloud data model are more comprehensive.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. Distributed photovoltaic power station unmanned aerial vehicle patrols and examines line planning method, includes unmanned aerial vehicle website A's construction, unmanned aerial vehicle website B's construction, photovoltaic solar panel's construction, infrared sensor's construction and unmanned aerial vehicle's use, its characterized in that:
the method comprises the following steps: scanning the photovoltaic power stations with the aim of covering all the photovoltaic power stations, and constructing an unmanned aerial vehicle station A, an unmanned aerial vehicle station B, a photovoltaic solar panel and an infrared sensor according to the terrain;
step two: a plurality of same photovoltaic solar panels are arranged in the middle of the photovoltaic power station, and the angle adjustment of the photovoltaic solar panels is completed;
step three: the infrared sensor is fixedly arranged among the photovoltaic solar panels;
step four: an unmanned aerial vehicle station A is established on the left side of the photovoltaic power station;
step five: an unmanned aerial vehicle station B is constructed on the right side of the photovoltaic power station;
step six: the unmanned aerial vehicle station A or the unmanned aerial vehicle station B is used as a starting point and an end point, the routing inspection route of the unmanned aerial vehicle in the photovoltaic power station is X1 or X2 as constraint, and the flying paths of the unmanned aerial vehicle are stored in the routing inspection routes X1 and X2.
2. The method for planning the routing of the unmanned aerial vehicle for the distributed photovoltaic power station according to claim 1, wherein: unmanned aerial vehicle website A and unmanned aerial vehicle website B's inside includes wireless module of charging, GPS emission module, wireless transmission module and infrared receiving module, and wherein wireless module of charging is wireless connection with unmanned aerial vehicle, and wireless transmission module is wireless connection with unmanned aerial vehicle, wireless transmission module adopts 5G communication module.
3. The method for planning the routing of the unmanned aerial vehicle for the distributed photovoltaic power station according to claim 1, wherein: unmanned aerial vehicle's inside includes GPS orientation module, control module, infrared imaging module, infrared emission module, full stack AI vision processing module, ultraviolet detector, miniature camera machine, laser radar, camera and wireless transmission module, and wherein wireless transmission module adopts 5G communication module.
4. The method for planning the routing of the unmanned aerial vehicle for the distributed photovoltaic power station according to claim 1, wherein: x1 patrols and examines the route and be unmanned aerial vehicle website A as the starting point, and unmanned aerial vehicle website B is the terminal point, X2 patrols and examines the route and be unmanned aerial vehicle website B as the starting point, and unmanned aerial vehicle website B is the terminal point, X1 is the same with X2's distance.
5. The method for planning the routing of the unmanned aerial vehicle for the distributed photovoltaic power station according to claim 1, wherein: the number of unmanned aerial vehicles is the same as the number of photovoltaic solar panels on the side of the unmanned aerial vehicle station A or the unmanned aerial vehicle station B.
6. The method for planning the routing of the unmanned aerial vehicle for the distributed photovoltaic power station according to claim 1, wherein: the flying height of the unmanned aerial vehicle is 3-5 meters, the flying speed of the unmanned aerial vehicle is 1-2 m/s, and the unmanned aerial vehicle and the ground fly horizontally.
7. The method for planning the routing of the unmanned aerial vehicle for the distributed photovoltaic power station according to claim 1, wherein: photovoltaic solar panel is the rectangle and distributes in photovoltaic power plant's inside, and the distance between every photovoltaic solar panel is the same, and infrared sensor equidistant distribution is between photovoltaic solar panel.
8. The method for planning the routing inspection line of the unmanned aerial vehicle of the distributed photovoltaic power station according to claim 3, characterized in that: the processing steps of the full-stack AI visual processing module are as follows:
the method comprises the following steps: shooting pictures and videos inside the photovoltaic power station by using a camera;
step two: sending the pictures and videos to an unmanned aerial vehicle site A or an unmanned aerial vehicle site B through a 5G communication module in the unmanned aerial vehicle;
step three: the server in the unmanned aerial vehicle station A or the unmanned aerial vehicle station B automatically analyzes the image and the video data, compresses and stores the image, and performs fault detection and foreign matter analysis on the photovoltaic power station once;
step four: and transmitting the obtained data to a cloud platform, and timely notifying maintenance personnel to maintain when the abnormality is detected.
9. The method for planning the routing inspection line of the unmanned aerial vehicle of the distributed photovoltaic power station according to claim 3, characterized in that: the unmanned aerial vehicle carries the laser radar device and the processing steps are as follows;
the method comprises the following steps: the method comprises the following steps of taking an inspection route X1 or X2 as a flight path, quickly establishing a three-dimensional point cloud data model, and realizing automatic measurement of distances between a photovoltaic solar panel and trees and between buildings and automatic early warning analysis of hidden channel hazards;
step two: the infrared imaging module can perform infrared spectrum image analysis on the heating abnormal points with the surrounding temperature exceeding the surface temperature, so that whether the photovoltaic solar panel has faults or not can be obtained;
step three: when the photovoltaic solar panel is detected to have abnormal heating value, the infrared imaging data is transmitted to an unmanned aerial vehicle station A or an unmanned aerial vehicle station B through a 5G communication module in the unmanned aerial vehicle;
step four: and transmitting the obtained data to a cloud platform, and timely informing maintenance personnel to maintain.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117410868A (en) * | 2023-12-15 | 2024-01-16 | 南京雅宸众联电力技术有限公司 | Substation inspection control method and device |
| CN117410868B (en) * | 2023-12-15 | 2024-03-01 | 南京雅宸众联电力技术有限公司 | Substation inspection control method and device |
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