An angle adjusting method and device for shooting hot spots of a photovoltaic power station by using a drone

Abstract

The application discloses an angle adjusting method and device for shooting a hot spot of a photovoltaic power station by using a UAV, and belongs to the technical field of image acquisition and analysis, and comprises the following steps: S1, acquiring basic data; S2, calculating an optimal flight height according to an infrared camera focal length, a flight angle, an installation angle of a photovoltaic cell panel, an illumination intensity, a solar elevation angle, a wind speed and an environmental temperature change; S3, adjusting a pitch angle of the infrared camera according to the optimal flight height, the solar elevation angle, the illumination intensity, the wind speed, the environmental temperature change, the infrared camera focal length and a straight-line distance of a starting point; and S4, calculating a shortest flight path according to the optimal flight height, a UAV flight speed, a shooting task time, an image resolution, the flight angle, the solar elevation angle, an environmental temperature value before the UAV flight, the illumination intensity, the wind speed and the environmental temperature change. The application can improve the precision of hot spot detection.

Description

Technical Field

[0001] This invention belongs to the field of image acquisition and analysis technology, specifically relating to a method and device for adjusting the angle of hot spots in a photovoltaic power station when using a drone to capture images. Background Technology

[0002] With the rapid development and widespread application of photovoltaic power generation technology, the daily maintenance and fault detection of photovoltaic power plants have become increasingly critical, directly impacting energy efficiency and system reliability. Traditional manual inspections are not only extremely time-consuming and labor-intensive, but also inefficient due to the limitations of human eye resolution, failing to accurately identify minute hot spot defects and leading to the overlooking of potential faults, thus hindering the achievement of comprehensive and efficient operation and maintenance management goals. In contrast, drones equipped with high-precision infrared cameras for hot spot detection are widely used in the large-scale monitoring of photovoltaic power plants due to their ability to scan rapidly, cover wide areas, and transmit data in real time. However, in practical applications, environmental factors such as strong sunlight intensity can cause infrared images to be overexposed or have increased noise, wind speed changes can affect the drone's flight stability, and ambient temperature fluctuations can lead to thermal image distortion. These factors collectively have a significant impact on the quality of infrared images. Traditional fixed flight angles and preset path schemes cannot dynamically adapt to changing external conditions and lack real-time adjustment mechanisms, making it difficult to fully account for the interference of environmental variables. Ultimately, this results in a significant reduction in the accuracy and reliability of hot spot detection, affecting the overall operation and maintenance effect. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides a method and device for adjusting the angle of hot spots in photovoltaic power plants using drones. It integrates and analyzes external conditions such as wind speed, ambient temperature, and light intensity, and adjusts the flight altitude, the pitch angle of the infrared camera, and the flight path in real time to optimize the quality of infrared image acquisition, thereby improving the accuracy of hot spot detection.

[0004] The specific technical solution adopted in this invention is as follows:

[0005] The primary objective of this patent is to provide a method for adjusting the angle of hot spots in a photovoltaic power plant when using a drone, including:

[0006] S1. Obtain basic data: installation angle of photovoltaic panels, light intensity, solar altitude angle, wind speed, ambient temperature change, infrared camera focal length, straight-line distance from the starting point, flight angle, drone flight speed, shooting mission time, image resolution, and ambient temperature value before drone flight.

[0007] S2. Calculate the optimal flight altitude based on the infrared camera focal length, flight angle, photovoltaic panel installation angle, light intensity, solar altitude angle, wind speed, and ambient temperature changes.

[0008] S3. Adjust the pitch angle of the infrared camera based on the optimal flight altitude, solar altitude angle, light intensity, wind speed, ambient temperature changes, infrared camera focal length, and straight-line distance from the starting point.

[0009] More preferably, the method further includes:

[0010] S4. Calculate the shortest flight path based on the optimal flight altitude, drone flight speed, shooting mission time, image resolution, flight angle, solar altitude angle, ambient temperature value before drone flight, light intensity, wind speed, and ambient temperature changes.

[0011] Preferably, the focal length of the infrared camera is defined as... Flight angle is The installation angle of the photovoltaic panel is Light intensity is The solar altitude angle is Wind speed is and changes in ambient temperature The optimal flight altitude is h:

[0012] ;

[0013] m1 is the influence coefficient of light intensity and solar altitude angle, with units of degrees / (W / m). 2 m2 represents the influence coefficients of wind speed, solar altitude angle, and ambient temperature, with units of degrees / (m·℃ / s).

[0014] In some embodiments, m1 takes the value 4.254 and m2 takes the value 11.251.

[0015] Preferably, the straight-line distance from the starting point is defined as... Adjust the pitch angle of the infrared camera to ; The calculation formula is as follows:

[0016] ;

[0017] m3 is the influence coefficient of wind speed, optimal flight altitude and ambient temperature, with the unit being s / ℃; k is the angle coefficient, with a value of 0.85~1.05, with the unit being degrees.

[0018] In some embodiments, m3 is 2.218.

[0019] Preferably, the flight speed of the drone is defined as The shooting time is Image resolution is The ambient temperature value before the drone flight is The shortest flight path is , The calculation formula is as follows:

[0020] ;

[0021] m4 is the influence coefficient of wind speed and optimal flight altitude, in seconds; m5 is the influence coefficient of flight speed, flight time and image resolution, in pixels.

[0022] In some embodiments, m4 is 0.585 and m5 is 0.438.

[0023] A second objective of this invention is to provide an angle adjustment device for photographing hot spots in photovoltaic power plants using a drone, comprising:

[0024] The data acquisition module acquires basic data such as the installation angle of the photovoltaic panel, light intensity, solar altitude angle, wind speed, ambient temperature change, infrared camera focal length, straight-line distance from the starting point, flight angle, drone flight speed, shooting mission time, image resolution, and ambient temperature value before drone flight.

[0025] The flight altitude calculation module calculates the optimal flight altitude based on the infrared camera focal length, flight angle, photovoltaic panel installation angle, light intensity, solar altitude angle, wind speed, and ambient temperature changes.

[0026] The infrared camera pitch angle adjustment module adjusts the pitch angle of the infrared camera based on the optimal flight altitude, solar altitude angle, light intensity, wind speed, ambient temperature changes, infrared camera focal length, and straight-line distance from the starting point.

[0027] More preferably, the device further includes:

[0028] The shortest flight path calculation module calculates the shortest flight path based on the optimal flight altitude, drone flight speed, shooting mission time, image resolution, flight angle, solar altitude angle, ambient temperature value before drone flight, light intensity, wind speed, and ambient temperature changes.

[0029] Preferably, the focal length of the infrared camera is defined as... Flight angle is The installation angle of the photovoltaic panel is Light intensity is The solar altitude angle is Wind speed is and changes in ambient temperature The optimal flight altitude is h:

[0030] ;

[0031] m1 is the influence coefficient of light intensity and solar altitude angle, with units of degrees / (W / m).2 m2 represents the influence coefficients of wind speed, solar altitude angle, and ambient temperature, with units of degrees / (m·℃ / s).

[0032] In some embodiments, m1 takes the value 4.254 and m2 takes the value 11.251.

[0033] Preferably, the straight-line distance from the starting point is defined as... Adjust the pitch angle of the infrared camera to ; The calculation formula is as follows:

[0034] ;

[0035] m3 is the influence coefficient of wind speed, optimal flight altitude and ambient temperature, with the unit being s / ℃, and k is the angle coefficient, with a value of 0.85~1.05, with the unit being degrees.

[0036] In some embodiments, m3 is 2.218.

[0037] Preferably, the flight speed of the UAV is defined as The shooting time is Image resolution is The ambient temperature value before the drone flight is The shortest flight path is , The calculation formula is as follows:

[0038] ;

[0039] m4 is the influence coefficient of wind speed and optimal flight altitude, in seconds; m5 is the influence coefficient of flight speed, flight time and image resolution, in pixels.

[0040] In some embodiments, m4 is 0.585 and m5 is 0.438.

[0041] The third objective of this invention is to provide a computer program product, including a computer program that, when executed by a processor, describes the above-mentioned method for adjusting the angle of hot spots in a photovoltaic power plant using a drone.

[0042] The fourth objective of this invention is to provide an information data processing terminal for implementing the above-mentioned method of adjusting the angle of hot spots in photovoltaic power plants using drones.

[0043] The fifth objective of this invention is to provide a computer-readable storage medium including instructions that, when executed on a computer, cause the computer to perform the aforementioned method for adjusting the angle of hot spots in a photovoltaic power plant using a drone.

[0044] The advantages and positive effects of this invention are as follows:

[0045] By adopting the above technical solution, the present invention has the following technical effects:

[0046] This invention optimizes the flight trajectory by comprehensively considering environmental factors such as wind speed, ambient temperature, and light intensity, and dynamically adjusts the drone's flight altitude and camera pitch angle in real time. This ensures high-quality infrared images are obtained during photovoltaic power station inspections. This adjustment, based on real-time changes in environmental parameters and achieved through a built-in intelligent control algorithm, effectively reduces the impact of external interference on image quality, improving overall detection accuracy and inspection efficiency.

[0047] This invention significantly improves the detection accuracy of hot spots by precisely controlling the flight attitude and position of the UAV, reducing false positives and false negatives, ensuring efficient execution of inspection tasks, and greatly reducing the cost and time investment of manual inspection. Simultaneously, this invention optimizes the acquisition quality of infrared images by dynamically adjusting the camera's pitch angle and flight altitude to adapt to changes in light intensity and ambient temperature, thereby improving image clarity and contrast.

[0048] This invention also improves the efficiency of photovoltaic power plant operation and maintenance management by promptly identifying potential fault points, such as hot spot areas, effectively avoiding energy loss and component damage caused by hot spots. The dynamic adjustment mechanism enables the drone to adapt to various environmental conditions, including changes in wind speed, temperature fluctuations, or differences in sunlight, thereby enhancing the system's adaptability and shooting accuracy, ensuring stable and reliable execution of inspection tasks under different climatic conditions. Attached Figure Description

[0049] Figure 1 A flowchart of a preferred embodiment of the present invention;

[0050] Figure 2 This is a route planning diagram in a preferred embodiment of the present invention;

[0051] Figure 3 This is a fault location marking diagram in a preferred embodiment of the present invention;

[0052] Figure 4 This is a hot spot fault diagram in a preferred embodiment of the present invention;

[0053] Figure 5 This is a diagram showing the obstruction of debris in a preferred embodiment of the present invention;

[0054] Figure 6 This is a diode fault diagram in a preferred embodiment of the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] Please see Figure 1 ;

[0057] The first embodiment discloses a method for adjusting the angle of hot spots in a photovoltaic power station when using a drone to capture images, mainly including:

[0058] S1. Obtain basic data: Installation angle of photovoltaic panels Light intensity Solar altitude angle Wind speed Changes in ambient temperature Infrared camera focal length Straight-line distance from starting point Flight angle Drone flight speed Filming schedule Image resolution Ambient temperature value before drone flight ;

[0059] Among them, the installation angle of photovoltaic panels This angle is usually determined by the design of the photovoltaic power plant;

[0060] Light intensity Wind speed Changes in ambient temperature Ambient temperature value before drone flight Real-time data acquisition can be performed using various sensors on-site;

[0061] Infrared camera focal length This is obtained by querying the parameters of the infrared camera mounted on the drone;

[0062] Straight-line distance from starting point The shortest distance between the starting position of the drone and the farthest position of the photovoltaic power station area was tested by using a GPS positioning device.

[0063] Flight angle This refers to the drone's flight angle, which is freely set when the drone plans its flight path and can range from 0 to 50°.

[0064] Drone flight speed The speed is set freely when the drone plans its flight path, and can be selected from 5 to 15 m / s. The lower the flight altitude, the slower the speed should be set.

[0065] Filming mission time This time is determined based on flight speed and flight distance, and is generally automatically generated by the UAV system after the planned flight path is completed.

[0066] Image resolution Obtained by querying the parameters of the infrared camera mounted on the drone;

[0067] Solar altitude angle The values ​​were obtained by querying software such as SolarCalc and PVGIS, and the unit is degrees.

[0068] S2. Calculate the optimal flight altitude. Based on the flight angle, the installation angle of the photovoltaic panel, and factors such as ambient light and wind speed, the optimal flight altitude is calculated. By adjusting the formula, the flight altitude is made fully compatible with environmental conditions (such as light, wind speed, and temperature), thereby improving the resolution of the hotspot image.

[0069] This embodiment is based on the focal length of the infrared camera. Flight angle Installation angle of photovoltaic panels Light intensity Solar altitude angle Wind speed and changes in ambient temperature Calculate the optimal flight altitude h;

[0070] ;

[0071] The unit is degrees; The unit is degrees; The unit is W / m 2 ; The unit is m / s; The ambient temperature change is expressed in °C; m1 represents the coefficient of solar irradiance and solar altitude angle, with a value of 4.254, expressed in degrees (W / m). 2 m2 represents the influence coefficients of wind speed, solar altitude angle, and ambient temperature, with a value of 11.251, in degrees / (m·℃ / s).

[0072] S3. Adjust the pitch angle of the infrared camera;

[0073] According to the installation angle of the photovoltaic panel Light intensity Wind speed Solar altitude angle Changes in ambient temperature Infrared camera focal length Straight-line distance from the starting point Adjust the pitch angle of the infrared camera. Taking into account factors such as light intensity, wind speed, and ambient temperature, The calculation formula is as follows:

[0074] ;

[0075] m3 is the influence coefficient of wind speed, optimal flight altitude and ambient temperature, with a value of 2.218, and the unit is s / ℃; k is the angle coefficient, with a value of 0.85~1.05, and the unit is degrees.

[0076] The unit is m. The unit is m. The unit is W / m 2 , The unit is degrees. The unit is m / s. The unit is m; The unit is ℃.

[0077] S4. Based on the drone's flight speed Filming schedule Image resolution Solar altitude angle Ambient temperature value before drone flight Light intensity Wind speed and changes in ambient temperature Calculate the shortest flight path .

[0078] Choosing the shortest flight path requires not only ensuring coverage of the entire photovoltaic power station but also considering wind speed, flight stability, and image quality. The following formula optimizes the drone's shortest flight path, ensuring coverage of the entire photovoltaic power station area, avoiding missing any photovoltaic panels, and minimizing image errors caused by environmental factors.

[0079] The calculation formula is as follows:

[0080] ;

[0081] m4 is the influence coefficient of wind speed and optimal flight altitude, with a value of 0.585, and the unit is s; m5 is the influence coefficient of flight speed, flight time and image resolution, with a value of 0.438, and the unit is px.

[0082] The unit is m / s; The unit is s; The unit is px; The unit is degrees; The unit is W / m 2 ; The unit is m / s; The unit is ℃; The ambient temperature value before the drone's flight is determined by measuring the ambient temperature using a thermometer, and the unit is °C.

[0083] After the above four steps are completed, the following steps may also be included:

[0084] S5, execute shooting tasks and adjust in real time.

[0085] Based on the above calculations, the drone performs its photography mission, monitoring the infrared camera's shooting status in real time during flight to ensure image quality and hotspot clarity. The shooting angle and shortest flight path can be dynamically adjusted based on data feedback during flight.

[0086] S6. Data Processing and Hot Spot Detection

[0087] The captured infrared images are processed, and image processing algorithms are used to identify the location and size of hot spots, generating inspection reports. For situations where temperature changes and lighting conditions have a significant impact, correction strategies can be adjusted based on the characteristics of the hot spots to further improve detection accuracy.

[0088] A second embodiment provides an angle adjustment device for photographing hot spots in a photovoltaic power station using a drone, used to execute the method of the first embodiment, comprising:

[0089] The data acquisition module acquires basic data such as the installation angle of the photovoltaic panel, light intensity, solar altitude angle, wind speed, ambient temperature change, infrared camera focal length, straight-line distance from the starting point, flight angle, drone flight speed, shooting mission time, image resolution, solar altitude angle, and ambient temperature value before drone flight.

[0090] The flight altitude calculation module calculates the optimal flight altitude based on the infrared camera focal length, flight angle, photovoltaic panel installation angle, light intensity, solar altitude angle, wind speed, and ambient temperature changes.

[0091] The infrared camera pitch angle adjustment module adjusts the pitch angle of the infrared camera based on the optimal flight altitude, solar altitude angle, light intensity, wind speed, ambient temperature changes, infrared camera focal length, and straight-line distance from the starting point.

[0092] The shortest flight path calculation module calculates the shortest flight path based on the optimal flight altitude, drone flight speed, shooting mission time, image resolution, flight angle, solar altitude angle, ambient temperature value before drone flight, light intensity, wind speed, and ambient temperature changes.

[0093] Please see Figures 2 to 6 ;

[0094] In a certain ground-mounted photovoltaic power station, the initial conditions are set as follows:

[0095] Installation angle of photovoltaic panels Flight angle Focal length of infrared camera Straight-line distance from starting point Light intensity Solar altitude angle Wind speed Ambient temperature changes Image resolution Drone flight speed Shooting time Ambient temperature value before drone flight k takes a value of 1.0 degrees.

[0096] By adjusting the flight altitude and optimizing the shortest flight path, the following results were obtained: the optimal flight altitude was 45.71m, and the infrared camera pitch angle was 31.27°. Adjusting the shooting angle ensured that the infrared camera could maximize the capture of hot spots, avoiding image distortion caused by excessively large or small angles. The optimized shortest flight path was 2501.05m, which can cover the entire photovoltaic power station area, ensuring effective hot spot detection while reducing omissions due to improper shortest flight paths. These optimization parameters considered environmental factors such as wind speed, temperature changes, and light intensity, improving the accuracy and efficiency of hot spot detection. The flight path planning diagram is shown below. Figure 2 As shown, the specific location of the fault is marked, such as... Figure 3 As shown, a total of 340 faulty photovoltaic panels were identified, of which 296 panels had hot spots on the modules, as shown. Figure 4 As shown, 11 blocks are obscured by miscellaneous items, such as... Figure 5 As shown, 29 are diode faults, such as... Figure 6 As shown, 3 blocks are double-row unloaded, and 1 block is short-circuited. The recognition accuracy rate is 98.5%.

[0097] The third embodiment is a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for adjusting the angle of hot spots in a photovoltaic power station using a drone.

[0098] Fourth embodiment: A computer program product, including a computer program that, when executed by a processor, implements the above-described method for adjusting the angle of hot spots in a photovoltaic power station using a drone.

[0099] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented, in whole or in part, as a computer program product, the computer program product includes one or more computer instructions. When the computer program instructions are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0100] The above description is only a preferred embodiment of the present invention. It should be noted that, for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for adjusting the angle of hot spots in a photovoltaic power plant when using a drone to photograph them, characterized in that, include: S1. Obtain basic data: installation angle of photovoltaic panels, light intensity, solar altitude angle, wind speed, ambient temperature change, infrared camera focal length, straight-line distance from the starting point, flight angle, drone flight speed, shooting mission time, image resolution, and ambient temperature value before drone flight. S2. Calculate the optimal flight altitude based on the infrared camera focal length, flight angle, photovoltaic panel installation angle, light intensity, solar altitude angle, wind speed, and ambient temperature changes. S3. Adjust the pitch angle of the infrared camera based on the optimal flight altitude, solar altitude angle, light intensity, wind speed, ambient temperature changes, infrared camera focal length, and straight-line distance from the starting point. S4. Calculate the shortest flight path based on the optimal flight altitude, drone flight speed, shooting mission time, image resolution, flight angle, solar altitude angle, ambient temperature value before drone flight, light intensity, wind speed and ambient temperature changes; Define the focal length of the infrared camera as Flight angle is The installation angle of the photovoltaic panel is Light intensity is The solar altitude angle is Wind speed is and changes in ambient temperature The optimal flight altitude is : ； m1 is the influence coefficient of light intensity and solar altitude angle, with units of degrees / (W / m). 2 m2 represents the influence coefficients of wind speed, solar altitude angle, and ambient temperature, with units of degrees / (m·℃ / s); m1 is 4.254 and m2 is 11.

251. Define the straight-line distance from the starting point as Adjust the pitch angle of the infrared camera to ; The calculation formula is as follows: ； m3 is the influence coefficient of wind speed, optimal flight altitude and ambient temperature, with a value of 2.218, and the unit is s / ℃; k is the angle coefficient, with a value of 0.85~1.05, and the unit is degrees. Straight-line distance from starting point To test the shortest distance between the starting position of the drone and the farthest position of the photovoltaic power station area being photographed using a GPS positioning device; Define the flight speed of the drone as The shooting time is Image resolution is The ambient temperature value before the drone flight is The shortest flight path is , The calculation formula is as follows: ； m4 is the influence coefficient of wind speed and optimal flight altitude, in seconds; m5 is the influence coefficient of flight speed, flight time and image resolution, in pixels; m4 is 0.585 and m5 is 0.

438.

2. An angle adjustment device for photographing hot spots in a photovoltaic power station using a drone, characterized in that, include: The data acquisition module acquires basic data such as the installation angle of the photovoltaic panel, light intensity, solar altitude angle, wind speed, ambient temperature change, infrared camera focal length, straight-line distance from the starting point, flight angle, drone flight speed, shooting mission time, image resolution, and ambient temperature value before drone flight. The flight altitude calculation module calculates the optimal flight altitude based on the infrared camera focal length, flight angle, photovoltaic panel installation angle, light intensity, solar altitude angle, wind speed, and ambient temperature changes. The infrared camera pitch angle adjustment module adjusts the pitch angle of the infrared camera based on the optimal flight altitude, solar altitude angle, light intensity, wind speed, ambient temperature changes, infrared camera focal length, and straight-line distance from the starting point. The shortest flight path calculation module calculates the shortest flight path based on the optimal flight altitude, drone flight speed, shooting mission time, image resolution, flight angle, solar altitude angle, ambient temperature value before drone flight, light intensity, wind speed, and ambient temperature changes. Define the focal length of the infrared camera as Flight angle is The installation angle of the photovoltaic panel is Light intensity is The solar altitude angle is Wind speed is and changes in ambient temperature The optimal flight altitude is : ； m1 is the influence coefficient of light intensity and solar altitude angle, with units of degrees / (W / m). 2 m2 represents the influence coefficients of wind speed, solar altitude angle, and ambient temperature, with units of degrees / (m·℃ / s); m1 is 4.254 and m2 is 11.

251. Define the straight-line distance from the starting point as Adjust the pitch angle of the infrared camera to ; The calculation formula is as follows: ； m3 is the influence coefficient of wind speed, optimal flight altitude and ambient temperature, with a value of 2.218, and the unit is s / ℃; k is the angle coefficient, with a value of 0.85~1.05, and the unit is degrees. Straight-line distance from starting point To test the shortest distance between the starting position of the drone and the farthest position of the photovoltaic power station area being photographed using a GPS positioning device; Define the flight speed of the drone as The shooting time is Image resolution is The ambient temperature value before the drone flight is The shortest flight path is , The calculation formula is as follows: ； m4 is the influence coefficient of wind speed and optimal flight altitude, in seconds; m5 is the influence coefficient of flight speed, flight time and image resolution, in pixels; m4 is 0.585 and m5 is 0.

438.

3. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it describes the angle adjustment method for photographing hot spots in a photovoltaic power station using a drone, as described in claim 1.

4. A computer-readable storage medium comprising instructions, when executed on a computer, causing the computer to perform the angle adjustment method for photographing hot spots in a photovoltaic power plant using a drone as described in claim 1.

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