KR102255025B1 - A creating method of flying route of a drone that is for diagnosis of floating solar panels by Geographic Information System analysis - Google Patents

Abstract

The present invention relates to a method of creating the flying route information of a drone for diagnosis of floating solar panels by GIS analysis, which is installed on water, such as rivers, seas, and lakes, and automatically generates drone flight path information necessary for diagnosis of faults in solar panels installed in floating photovoltaic power plants, which change locations from time to time, regardless of the change in the locations of the floating photovoltaic power plants. The method includes a first step (S100), a second step (S200), a third step (S300), a fifth step (S500), a sixth step (S600) and a seventh step (S700).

Description

{A creating method of flying route of a drone that is for diagnosis of floating solar panels by Geographic Information System analysis}

The present invention relates to a method for generating drone flight path information for diagnosing a floating solar panel using GIS analysis, and more particularly, to a floating solar power plant that is installed in water such as rivers, seas, and lakes to change its location from time to time. It relates to a technology that automatically generates drone flight path information necessary for fault diagnosis of solar panels installed in the floating solar power plant regardless of the position change of the floating solar power plant.

In modern society, as technology develops day by day, our lives are becoming more convenient and more prosperous, and in proportion to this, the amount of electricity we use is also increasing.

In general, electricity produced in Korea is obtained through thermal power generation, hydro power generation, nuclear power generation, and power generation by new and renewable energy. However, most of the electricity production is dependent on thermal power and nuclear power.

However, countries around the world are attempting to shift away from the existing energy supply system that relies on fossil fuels and nuclear power to the energy supply system using new and renewable energy. The actual situation is promoting the implementation of this.

Solar power plants are being installed as part of energy supply by renewable energy. In particular, solar power plants have recently built a large-scale solar power plant due to the advantage of receiving near-infinite energy from the sun naturally without consumption of fuel. Is being operated.

In order to maintain power generation efficiency, solar power plants must periodically check and maintain solar panels. Recently, solar panels are inspected using thermal image image information generated through aerial photography of drones. In order to inspect the solar panel using a drone, accurate information on the flight path of the drone is required.

On the other hand, the existing solar power plant requires a lot of land. In Korea, where most of the land is made of forest, many solar power plants are installed in the forest area, not in the plain area, but as it damages the forest, it adversely affects the natural environment. In recent years, there is a trend of building floating solar power plants on water such as rivers, seas, and lakes.

However, due to the nature of floating on the water, the installation location of the floating solar power plant is changed from time to time, so when checking the solar panel using a conventional drone, the fluctuation of the floating solar power plant is changed from time to time. Depending on the location, there has been a problem in that the flight path information of the drone must be newly created each time.

Therefore, through the present invention, drone flight path information for fault diagnosis of a solar panel installed in a floating solar power plant that is installed on water such as rivers, seas, and lakes, and its location is changed from time to time, is the location of the floating solar power plant. It came to propose a technology that automatically generates regardless of fluctuations.

The following are prior art related to this.

1. Korean Patent Publication No. 10-1888486 A floating solar panel monitoring system using a drone and a monitoring method using the same 2. Korean Patent Publication No. 10-1985019 Method for detecting abnormal heat solar module using drone and GIS 3. Korean Patent Publication No. 10-2082052 Water Solar Power Generation Structure Moving Device and Moving Method

The present invention is to solve the conventional problem,

The present invention uses GIS analysis to obtain information on drone flight paths necessary for fault diagnosis of solar panels installed in floating solar power plants that are installed on water such as rivers, seas, and lakes and whose location changes from time to time. It is an object to provide a method of automatically generating regardless of the change in the position of.

In order to achieve the above object, the method of generating drone flight path information for diagnosing a floating solar panel using GIS analysis of the present invention,

A first step (S100) of inputting information on a panel installation design of a floating solar power plant to diagnose a solar panel to a terminal for generating drone flight path information;

A second step (S200) of displaying the panel installation design drawing on the drone flight path information generation terminal screen using the input panel installation design drawing information;

A virtual drone flight path and at least two reference points corresponding to the floating solar power plant site are set on the panel installation design drawing displayed on the terminal screen for drone flight path information generation, and a virtual drone flight path and at least two reference points are set. A third step (S300) of generating first basic information, which is panel installation design drawing information;

Through the GPS receiver installed at the site locations of the floating solar power plant corresponding to at least two set reference points, the GPS information of the actual drone flight time for the set reference points is acquired, and the acquired reference points of the actual drone flight time are obtained. A fifth step (S500) of generating second basic information in which GPS information is reflected in the first basic information;

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A sixth step (S600) of calculating GPS information of the actual drone flight time of specific points on the virtual drone flight path set using the generated second basic information;

It characterized in that it comprises a seventh step (S700) of generating the actual drone flight path information for the solar panel diagnosis of the floating solar power plant using the GPS information of the actual drone flight time of the calculated specific points.

The present invention uses GIS analysis to obtain information on drone flight paths necessary for fault diagnosis of solar panels installed in floating solar power plants that are installed on water such as rivers, seas, and lakes and whose location changes from time to time. Since it is automatically generated regardless of the change in the location of the photovoltaic power plant, it provides the effect of quickly and accurately diagnosing the failure of the solar panel installed in the floating solar power plant with a small number of personnel.

1 is a conceptual diagram of the present invention
Figure 2 is a flow chart of the present invention
3 is an exemplary view of setting a reference point and a virtual drone flight path of the present invention
4 is an exemplary view of installing a receiver for acquiring GPS information of reference points of the present invention
5 is an exemplary diagram of matching input of GPS information of acquired reference points of the present invention
6 is an exemplary view of setting an inflection point necessary for generating actual drone flight path information of the present invention
7 is an exemplary view of generating GPS information of inflection points necessary for generating actual drone flight path information according to the present invention
Figure 8 is an example of the initial position of the floating solar power plant of the present invention
9 is an exemplary view of a variable position of the floating solar power plant of the present invention

An embodiment of the present invention will be described in detail with reference to FIGS. 1 to 9.

Referring to FIG. 1, a method of generating drone flight path information for diagnosing a floating solar panel using a GIS analysis of the present invention (hereinafter referred to as'the present invention') uses a terminal 10 for generating drone flight path information. , As an invention for generating drone flight path information necessary for fault diagnosis of the solar panel 31 installed in the floating solar power plant 30 installed on the water surface such as a lake and whose location changes from time to time. Regardless of the fluctuations in the position of the floating solar power plant that changes, only the GPS information of the reference points that have been changed according to the change of the position of the solar power plant is modified. It is an invention that automatically generates drone flight path information for

In general, diagnosis of solar panels installed in solar power plants is performed periodically (eg, 1 month, 3 months, 6 months, 1 year, etc.). Since the solar power plant installed on the ground is fixedly installed on the ground, the drone flight path information set once for the solar panel diagnosis of the solar power plant installed on the ground does not need to be changed every time the solar panel is diagnosed periodically. .

However, the position of the solar power plant installed on the water is changed in real time due to the floating characteristics of the water, and for this reason, the drone flight path information for the diagnosis of the solar panel of the solar power plant installed on the water is periodically executed. There is a discomfort that needs to be changed at each diagnosis.

For example, as shown in FIG. 8, after performing solar panel diagnosis by generating primary drone flight path information for solar panel diagnosis of a solar power plant floating on the water, a certain period of time has elapsed. In the case of secondary diagnosis of the solar panel of the solar power plant at the time point, the solar power plant has moved to a location different from the location shown in FIG. 8 as shown in FIG. 9 due to the floating type characteristic. Becomes.

In order to diagnose the solar panel of the solar power plant whose location has changed, it is necessary to create new secondary drone flight path information that is different from the primary drone flight path information, but it is inconvenient that it takes a lot of time and effort to create new drone flight path information. There is.

In order to solve this inconvenience, the present invention acquires GPS information of reference points from a GPS receiver installed in a solar power plant, and when only the GPS information of the obtained reference points is updated to the previously created drone flight path information, it is different from FIG. It is an invention for automatically generating new drone flight path information for solar panel diagnosis of a solar power plant in a state of being moved to the position shown in FIG. 9, which is the location.

Referring to Figure 2, the present invention is basically the first step (S100), the second step (S200), the third step (S300), the fifth step (S500), the sixth step (S600), the seventh step ( S700) and may be configured to include an additional eighth step (S800).

Specifically, the method of generating drone flight path information for diagnosing a floating solar panel using GIS analysis of the present invention,

A first step (S100) of inputting information on a panel installation design of a floating solar power plant to diagnose a solar panel to a terminal for generating drone flight path information;

A second step (S200) of displaying the panel installation design drawing on the drone flight path information generation terminal screen using the input panel installation design drawing information;

A virtual drone flight path and at least two reference points corresponding to the floating solar power plant site are set on the panel installation design drawing displayed on the terminal screen for drone flight path information generation, and a virtual drone flight path and at least two reference points are set. A third step (S300) of generating first basic information, which is panel installation design drawing information;

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Through the GPS receiver installed at the site locations of the floating solar power plant corresponding to at least two set reference points, the GPS information of the actual drone flight time for the set reference points is acquired, and the acquired reference points of the actual drone flight time are obtained. A fifth step (S500) of generating second basic information in which GPS information is reflected in the first basic information;

A sixth step (S600) of calculating GPS information of the actual drone flight time of specific points on the virtual drone flight path set using the generated second basic information;

It comprises a seventh step (S700) of generating the actual drone flight path information for the solar panel diagnosis of the floating solar power plant using the GPS information of the actual drone flight time of the calculated specific points.

In the first step (S100), as shown in FIG. 1, the user transfers the information of the panel installation design drawing 40 of the floating solar power plant 30 to be diagnosed to the drone flight path information generation terminal 10, hereinafter. 'Terminal'), wherein the terminal 10 may be any one of a PC, a notebook computer, and a tablet PC.

The second step (S200) is a step of displaying the panel installation design drawing 40 on the screen of the terminal 10 using the panel installation design drawing information input through the first step (S100), as shown in FIG. , The panel installation design drawing 40 displayed on the screen of the terminal 10 is a diagram in which images of the solar panels 31 installed in the floating solar power plant to be diagnosed are arranged in a predetermined installation structure.

In the third step (S300), the user sets a virtual drone flight path and at least two or more reference points corresponding to the site of the floating solar power plant 30 on the panel installation design drawing displayed on the screen of the terminal 10, This is a step of generating first basic information, which is information on a panel installation design drawing in which a virtual drone flight path and at least two reference points are set in the terminal 10.

That is, as shown in FIG. 3, the user refers to the installation structure of the solar panels 31 installed at the site of the floating solar power plant 30 to be diagnosed on the panel installation design drawing displayed on the screen of the terminal 10, A virtual drone flight path corresponding to the site of the floating solar power plant 30 is set on the panel installation design drawing.

In addition, the user sets at least two or more reference points on the panel installation design drawing displayed on the screen of the terminal 10.

The reason for setting the reference points is to use them as reference coordinates for calculating GPS information of specific points (inflection points) that will exist on the set virtual drone flight path. This will be described in detail later.

In particular, the reference point is installed at the outermost part of the panel installation design drawing as shown in FIG. 3 to reduce calculation errors and prevent input errors when calculating GPS information of specific points (inflection points) that will exist on the virtual drone flight path. It is set on at least two or more of the panels. 3 shows an example in which four reference points are set.

As a result, the first basic information generated through the third step (S300) becomes information on a virtual drone flight path and a panel installation design drawing in which at least two or more reference points are set.

In addition, the GPS receiver 32 is installed at site locations of the floating solar power plant 30 corresponding to at least two set reference points. As shown in FIG. 4, the user goes to the installation site of the floating solar power plant 30 to be diagnosed and installs the GPS receivers 32 at positions corresponding to at least two or more reference points set in the third step (S300). 4, when four reference points ((#1) to (#4)) are set, there is an example of installing the GPS receiver 32 at the site location of the floating solar power plant 30 corresponding to the four reference points. Is shown.

The fifth step (S500) is a step performed on the day of flight of the drone 20 for diagnosis of the solar panel 31 of the floating solar power plant 30 to be diagnosed. A third step (S300) of acquiring GPS information of the actual drone flight time of the set reference points through a GPS receiver installed at the site locations of the floating solar power plant, and the actual drone flight time of the acquired reference points (S300) In this step, the second basic information reflected in the first basic information generated through is generated.

That is, the fifth step (S500) is the current (actual drone flight time) GPS information of the reference points from the plurality of GPS receivers 32 installed at the site locations of the floating solar power plant 30 corresponding to the reference points. (Coordinates) are acquired, and the current (actual drone flight time) GPS information of the acquired reference points is matched and input as current (actual drone flight time) location information of each reference point.

Referring to FIG. 5 as an example, the current (drone flight time) GPS information, latitude 10.579606 and longitude 107.180230, is obtained from the #3 GPS receiver 32 installed at the site location of the solar power plant 30 corresponding to the #3 reference point. , If the GPS information obtained from the #3 GPS receiver 32, latitude 10.579606 and longitude 107.180230, is matched to the #3 reference point through the terminal 10, the #3 reference point set on the panel installation design drawing is the current #3 reference point. The location information of (actual drone flight time) is matched and reflected. In this way, if the current location information is also reflected in other reference points #1, 2, and 4, second basic information is generated.

That is, the second basic information generated through the fifth step (S500) is the panel installation design drawing information in which at least two or more reference points are set reflecting the location information of the virtual drone flight path and the actual drone flight time.

In the sixth step (S600), the GPS information of the actual drone flight time of specific points on the virtual drone flight path set in the third step (S300) is calculated using the second basic information generated through the fifth step (S500). As a step, it includes a 6-1 step (S610) and a 6-2 step (S620).

The 6-1 step (S610) extracts the set virtual drone flight path using the generated second basic information, identifies the inflection points at which the flight direction changes on the extracted virtual drone flight path, and identifies the identified inflection points at specific points. It is a step that is specified as.

When the virtual drone flight path as shown in FIG. 3 is set through the third step (S300), the virtual drone path as shown in FIG. 6 through the 6-1 step (S610) is second basic information. The inflection points, which are points at which the flight direction is changed on the extracted virtual drone path, are identified, and the identified inflection points are specified as specific points. 6 shows an example in which a total of 12 specific points (inflection points #1 to #12) are specified from the start point at which the flight path is started to the end point at which the flight path is completed.

The step 6-2 (S620) is a step of calculating GPS information of the actual drone flight time of specific points specified through the step 6-1 (S610).

Specifically, the 6-2 step (S620),

The actual distance information between the reference points is calculated using second basic information including GPS information of the actual drone flight time of the reference points,

Calculate distance information between pixel coordinates, which is distance information on the design drawing between reference points, using second basic information including information on the panel installation design drawing in which reference points are set,

The scale information between the actual distance and the distance on the design drawing is calculated using the calculated actual distance information between the reference points and the distance information between pixel coordinates, which is the distance information on the design drawing,

Calculate orientation information on the design drawing of specific points with respect to the reference points,

Using GPS information of reference points, pixel coordinate information of reference points and specific points, calculated scale information, and orientation information of specific points relative to reference points, it is necessary to calculate GPS information of the actual drone flight time of specific points. It is characterized.

As described above, the second basic information generated through the fifth step (S500) is the panel installation design drawing information in which at least two or more reference points are set reflecting the location information of the virtual drone flight path and the actual drone flight time.

Therefore, the GPS information of the actual drone flight time of the reference points can be known from the second basic information, and the actual distance information between the reference points can be calculated by knowing the GPS information of the actual drone flight time of the reference points.

7, for example, the actual distance between the reference point 1 and the reference point 2 is 810 m, the actual distance between the reference point 2 and the reference point 4 is 770 m, and the actual distance between the reference point 4 and the reference point 3 is 860 m, etc. can be calculated.

In addition, since the second basic information is information on a panel installation design drawing in which at least two or more reference points are set, distance information on the design drawing between the reference points can be calculated from the second basic information. That is, if pixel coordinate values of reference points set on the design drawing displayed on the screen are used, distance information between pixel coordinates, which is distance information between reference points on the design drawing, can be calculated.

For example, if the resolution of the screen of the terminal 10 shown in FIG. 7 is 1920×1080, the coordinate values of pixels on the design drawing displayed on the screen of the reference point 1 are (240, 340) and the reference point 2 If the pixel coordinate value of is (240, 940), a distance of 700 dots between pixel coordinates, which is distance information between the reference point 1 and the reference point 2 on the design drawing, can be calculated, and in this way, the reference points It is possible to calculate distance information between pixel coordinates, which is distance information on the design drawing of the liver.

In addition, scale information between the actual distance and the distance on the design drawing is calculated by using the calculated actual distance information between the reference points and distance information between pixel coordinates, which is distance information on the design drawing. For example, the actual distance between the reference point (1) and the reference point (2) is 810 m, and the pixel coordinates of the reference point (1) and the reference point (2), which are the distances in the design drawing, between the reference point (1) and the reference point (2). If the distance is 700 dots, the scale information is calculated as 1.1571 m per 1 dot.

In addition, orientation information on the design drawing of specific points with respect to the reference points is calculated. The azimuth information is calculated using the reference point and pixel coordinate values of the specific point. For example, in FIG. 7, the pixel coordinate value of the reference point 1 is (240, 340), and the pixel coordinate value of the inflection point #2, which is a specific point to which the orientation information is to be calculated, is (940, 570), the azimuth angle 28, which is the orientation information on the design drawing, of the pixel coordinate values (940, 570) of the inflection point (#2), which is a specific point with respect to the pixel coordinate values (240, 340) of the reference point (1). It will yield °.

In addition, GPS information of the actual drone flight time of specific points is calculated using GPS information of reference points, pixel coordinate information of reference points and specific points, calculated scale information, and orientation information of specific points for reference points. do.

The calculation of GPS information at the actual drone flight time of a specific point of inflection point #2 will be described with reference to FIG.

For example, the GPS information of the reference point (1) is latitude: 10°34′45.00″, longitude: 107°10′49.53″, the pixel coordinate value of the reference point (1) is (240, 340), and a specific point The pixel coordinate value of the inflection point (#2) is (940, 570), the scale information is 1.1571 m per 1 dot, and the azimuth angle 28, which is the orientation information on the design drawing of the inflection point (#2), which is a specific point relative to the reference point (1) In the case of °, the reference point (1) and the inflection point using the pixel coordinate values (240, 340) of the reference point (1) and the pixel coordinate values (940, 570) of the inflection point (#2) that is a specific point. Calculate the distance between pixel coordinates, which is the distance on the design drawing of (#2), and calculate the actual distance between the reference point (1) and the inflection point (#2) by applying scale information to the calculated distance between pixel coordinates. And, the GPS information at the time of the drone flight of the inflection point (#2) at the actual distance calculated by azimuth angle of 28° from the reference point (1) with latitude: 10°34′45.00″ and longitude: 107°10′49.53″ This is the calculation of “Latitude: 17°**′**.**″, Longitude: 138°**′**.**”.

The seventh step (S700) is a step of generating actual drone flight path information for solar panel diagnosis of the floating solar power plant using GPS information of the actual drone flight time of the calculated specific points, step 7-1 (S710) and a 7-2 step (S720).

The 7-1 step (S710) is a step of determining the transit order of specific points on the virtual drone flight path, and generating drone flight transit information regarding the transit order of the determined specific points. Referring to FIG. 6 as an example, starting point → Inflection point (#1) → Inflection point (#2) → Inflection point (#3) → Inflection point (#4) → Inflection point (#5) ..... Inflection point (#12) → Drone flight information in the order of completion point Is created.

In the 7-2 step (S720), the GPS information of the actual drone flight time of the specific points calculated in the sixth step (S600) is matched to the generated drone flight information to process the floating solar power plant 30. As a step of generating actual drone flight path information for solar panel diagnosis, for example, GPS1 (start point GPS information) → GPS2 (inflection point (#1) GPS information) → GPS3 (inflection point (#2) GPS information) → GPS4 ( Inflection Point (#3) GPS Information) → GPS5 (Inflection Point (#4) GPS Information) → GPS6 (Inflection Point (#5) GPS Information) ..... GPS13 (Inflection Point (#12) GPS Information) → GPS14 (Complete Point) It is to generate actual drone flight path information for solar panel diagnosis, such as GPS information of

On the other hand, the present invention further includes an eighth step (S800) of providing the actual drone flight path information generated through the seventh step (S700) to the drone 20 or the drone controller that controls the drone 20. .

At this time, the method of providing the actual drone flight path information in the eighth step (S800) to the drone 20 or the drone controller that controls the drone 20 is an information storage medium such as wired communication, wireless communication, USB, and SD memory. It will be provided using any one of them.

In the above, the technical idea of the present invention has been described together with the accompanying drawings, but this is illustrative of a preferred embodiment of the present invention and does not limit the present invention. In addition, it is a clear fact that anyone of ordinary skill in the art can make various modifications and imitations without departing from the scope of the technical idea of the present invention.

10: Drone flight route information generation terminal
20: drone
30: floating solar power plant
31: solar panel
32: GPS receiver installed at the reference point
40: Panel installation design drawing

Claims (7)

In the method of generating drone flight path information for diagnosis of floating solar panels using GIS analysis,
A first step (S100) of inputting information on a panel installation design of a floating solar power plant to diagnose a solar panel to a terminal for generating drone flight path information;
A second step (S200) of displaying the panel installation design drawing on the drone flight path information generation terminal screen using the input panel installation design drawing information;
A virtual drone flight path and at least two reference points corresponding to the floating solar power plant site are set on the panel installation design drawing displayed on the terminal screen for drone flight path information generation, and a virtual drone flight path and at least two reference points are set. A third step (S300) of generating first basic information, which is panel installation design drawing information;
Through the GPS receiver installed at the site locations of the floating solar power plant corresponding to at least two set reference points, the GPS information of the actual drone flight time for the set reference points is acquired, and the acquired reference points of the actual drone flight time are obtained. A fifth step (S500) of generating second basic information in which GPS information is reflected in the first basic information;
A sixth step (S600) of calculating GPS information of the actual drone flight time of specific points on the virtual drone flight path set using the generated second basic information;
A GIS analysis comprising a seventh step (S700) of generating actual drone flight path information for solar panel diagnosis of a corresponding floating solar power plant using GPS information of the actual drone flight time of the calculated specific points. A method of generating drone flight path information for diagnosis of floating solar panels using water.
The method of claim 1,
The virtual drone flight path setting in the third step (S300) is a setting reflecting the installation structure shape of the panels on the panel installation design drawing,
The setting of the reference point in the third step (S300) is a setting in which the installation points of at least two or more panels among the panels installed at the outermost sides of the panel installation design drawing are used as reference points. How to create drone flight path information for panel diagnosis.
The method of claim 1,
The fifth step (S500),
At the time of actual drone flight for solar panel diagnosis, GPS information about the reference points is acquired from GPS receivers installed at the site locations of the floating solar power plant corresponding to the reference points, and GPS information about the acquired reference points The floating sun using GIS analysis, characterized in that by matching and inputting the location information of the actual drone flight time of each reference point to generate second basic information in which the location information of the actual drone flight time of the reference points is reflected in the first basic information. Drone flight path information generation method for optical panel diagnosis.
The method of claim 1,
The sixth step (S600),
Step 6-1 of extracting the set virtual drone flight path using the generated second basic information, grasping the inflection points at which the flight direction changes on the extracted virtual drone flight path, and specifying the identified inflection points as a specific point (S610) )Wow,
A floating solar panel using GIS analysis, characterized in that it comprises a 6-2 step (S620) of calculating GPS information of the actual drone flight time of specific points specified through the 6-1 step (S610). How to generate diagnostic drone flight path information.
The method of claim 4,
The 6-2 step (S620),
The actual distance information between the reference points is calculated using second basic information including GPS information of the actual drone flight time of the reference points,
Calculate distance information between pixel coordinates, which is distance information on the design drawing between reference points, using second basic information including information on the panel installation design drawing in which reference points are set,
The scale information between the actual distance and the distance on the design drawing is calculated using the actual distance information between the calculated reference points and the distance information between pixel coordinates, which is the distance information on the design drawing,
Calculate orientation information on the design drawing of specific points with respect to the reference points,
Using GPS information of reference points, pixel coordinate information of reference points and specific points, calculated scale information, and orientation information of specific points relative to reference points, it is necessary to calculate GPS information of the actual drone flight time of specific points. A method of generating drone flight path information for diagnosis of floating solar panels using GIS analysis as a feature.
The method of claim 1,
The seventh step (S700),
Step 7-1 (S710) of determining the transit order of specific points on the virtual drone flight path, and generating drone flight transit information regarding the transit order of the determined specific points;
A system that generates actual drone flight path information for solar panel diagnosis of a floating solar power plant by matching and processing the GPS information of the actual drone flight time of specific points calculated in step 6 (S600) with the generated drone flight route information. A method of generating drone flight path information for diagnosing a floating solar panel using GIS analysis, characterized in that it comprises a 7-2 step (S720).
The method of claim 1,
It further includes an eighth step (S800) of providing the generated actual drone flight path information to a drone or a drone controller that controls a drone.
In the eighth step (S800), the actual drone flight path information is provided using any one of wired, wireless, and information storage media. Way.

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