Intelligent surveying system and method for photovoltaic power station

Abstract

The application discloses a photovoltaic power station intelligent survey system and method, and belongs to the technical field of unmanned aerial vehicle surveying. The system comprises a flight path demarcation module, a data acquisition module, a flight analysis module and a flight attitude adjustment module. The flight path demarcation module is used for determining the flight path of the unmanned aerial vehicle during surveying. The data acquisition module is arranged on the unmanned aerial vehicle body and is used for acquiring parameter information during unmanned aerial vehicle flight. The flight analysis module is used for receiving the parameter information of the data acquisition module, analyzing and calculating the parameter information, and obtaining an adjustment instruction. The flight attitude adjustment module is used for adjusting the flight attitude of the unmanned aerial vehicle according to the adjustment instruction. The application divides the surveying area into a plurality of flight runways, each of which is provided with a plurality of adjustment points. The position and distance of the unmanned aerial vehicle deviation can be detected at each adjustment point, and the initial position of missed shooting can be calculated according to the deviation angle, so that the position of missed shooting can be conveniently judged and subsequent retakes can be conveniently performed.

Description

Technical Field

[0001] This invention belongs to the field of unmanned aerial vehicle (UAV) surveying technology, specifically relating to an intelligent surveying system and method for photovoltaic power plants. Background Technology

[0002] A photovoltaic power station is a photovoltaic power generation system that utilizes solar energy, employs special materials such as crystalline silicon panels and electronic components such as inverters, and is connected to the power grid to transmit electricity to the grid.

[0003] When constructing a photovoltaic power station, a site survey is typically conducted to determine the substation's layout, including roads, pipelines, drainage, and power supply, based on the terrain features. Current site surveys generally utilize drones to take comprehensive, multi-angle photographs of the target area, creating a 3D model to understand the terrain characteristics. However, drone flight paths are susceptible to external influences and require recalibration. Currently, this is often done visually by operators, but this can be problematic at high altitudes, where operators may miss certain areas, leading to errors. Furthermore, deviations from the intended flight path can cause missed images, making it difficult to pinpoint the location and necessitating reshooting, thus delaying the overall survey progress. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent surveying system and method for photovoltaic power plants to solve the problems encountered in the background art.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] A smart surveying system for photovoltaic power plants, the system comprising:

[0007] A flight path delineation module, which is installed in the UAV flight control system, is used to determine the flight path of the UAV during surveying.

[0008] A data acquisition module, which is installed on the drone body, is used to collect parameter information of the drone during flight.

[0009] The flight analysis module is installed within the UAV flight control system. It is used to receive parameter information from the data acquisition module, analyze and calculate the parameter information, and derive adjustment instructions.

[0010] The flight attitude adjustment module is communicatively connected to the flight analysis module and is used to adjust the flight attitude of the UAV according to adjustment commands.

[0011] Furthermore, the method by which the flight path delineation module determines the flight path is as follows:

[0012] Based on the planning drawings, obtain the actual area outline of the survey area. Draw tangents from the four largest protruding sides of the actual area outline to form a rectangular area, which constitutes the UAV survey flight area.

[0013] A coordinate system is established with the length of the flight area as the X-axis and the width as the Y-axis. Based on the drone's shooting range and the length of the flight area, several flight runways are set at equal intervals on the X-axis. Each flight runway has several adjustment points, so that each adjustment point has corresponding coordinates on the XY-axis coordinate system.

[0014] Furthermore, the parameter information includes the position information of the UAV at each adjustment point, the yaw angle, the wind speed information and wind direction information of the UAV during flight.

[0015] Furthermore, the method of the flight analysis module includes:

[0016] Each time the drone reaches an adjustment point, it acquires the real-time distance X from the drone's center point to the left and right sides of the runway. L X R Using the formula S=X L -X R as well as Determine the drone's flight deviation direction S and deviation distance M;

[0017] If S > 0, the drone will shift to the right by M.

[0018] If S < 0, the drone will shift to the left by M.

[0019] Simultaneously, the offset distance M and the system's preset allowable offset value M will be obtained. max Perform a comparison;

[0020] If M∈(0, M max If the value is within the allowable offset error range, it indicates that the drone will not miss any shots. At this time, the corresponding adjustment command is generated based on the offset direction and offset distance.

[0021] If M∈(M max If the value is +∞), it indicates that the drone's flight exceeds the allowable offset error, resulting in missed shooting areas. In this case, corresponding adjustment commands are generated based on the offset direction and offset distance.

[0022] Furthermore, the analysis method of the flight analysis module also includes:

[0023] The wind speed and direction information of the survey area on that day are obtained by meteorological data, and the dynamic curve of the drone's flight speed is simulated based on the wind speed and direction information.

[0024] Get the current adjustment point Y i Compared with the previous adjustment point Y i-1 By examining the curves showing the change in wind speed over time and the change in wind direction over time, we can obtain the wind speed parameter value and the wind direction reference value.

[0025] The obtained wind speed parameters and wind direction reference values ​​are input into the simulated drone flight speed dynamic curve, and the updated average flight speed V is obtained. a ;

[0026] Adjust point Y i Real-time speed V i The theoretical real-time speed V of the system simulation ideal Comparison:

[0027] If V i Greater than V ideal Or V i Less than V ideal Then adjust the drone at adjustment point Y. i With the next adjustment point Y i+1 The flight speed between.

[0028] Furthermore, the method for obtaining the wind speed parameter value is as follows:

[0029] Based on adjustment point Y i Compared with the previous adjustment point Y i-1 The wind speed per second is calculated, and the sum of these wind speeds is used to determine the adjustment point Y. i Compared with the previous adjustment point Y i-1 The average wind speed between these values ​​is the wind speed parameter value.

[0030] Furthermore, the method for obtaining the wind direction reference value is as follows:

[0031] Determine the adjustment point Y i Compared with the previous adjustment point Y i-1 The wind direction within a second will adjust point Y. i Compared with the previous adjustment point Y i-1 The wind direction is classified across all time periods, and the most frequent wind direction is taken as the wind direction reference value.

[0032] Furthermore, the method for obtaining the missed area is as follows:

[0033] Mark the coordinate axis (X) of the current adjustment point i Y i ), where is the coordinate of the end of the missed area;

[0034] Obtain the yaw angle θ of the current drone flight using the formula. Find the coordinates of the starting point of the UAV yaw (X). i If G), then Y i With Y i-1 The G-distance between them represents the area missed by the drone.

[0035] Furthermore, the method for adjusting the flight speed is as follows:

[0036] When V i Greater than V ideal At that time, through The adjustment speed ΔV(t) is obtained i-1 If the drone is adjusted at point Y, then the drone will be positioned at point Y. i With the next adjustment point Y i+1 The flight speed between them was adjusted to V. a -ΔV(t i-1 );

[0037] When V i Less than V ideal At that time, through The adjustment speed ΔV(t) is obtained i-1 If the drone is adjusted at point Y, then the drone will be positioned at point Y. i With the next adjustment point Y i+1 The flight speed between them was adjusted to V. a +ΔV(t i-1 );

[0038] Where t i-1 For the drone at adjustment point Y i Compared with the previous adjustment point Y i-1 Flight time between, t 理 This refers to the theoretical flight time.

[0039] A method for intelligent surveying of photovoltaic power plants, which uses the aforementioned intelligent surveying system for photovoltaic power plants.

[0040] The beneficial effects of this invention are:

[0041] This invention divides the survey area into several flight runways, each runway having several adjustment points. At each adjustment point, the position and distance of the UAV's yaw can be detected, and the initial position of the missed shot can be calculated based on the yaw angle, thus facilitating the identification of the missed shot position and subsequent reshooting.

[0042] This invention sets up multiple adjustment points to promptly judge and adjust the position of the UAV during flight, reducing the impact of UAV deviation on survey accuracy. At the same time, each adjustment point also acquires wind speed and wind direction information from the previous flight segment to adjust the UAV's flight speed for the next flight segment, ensuring the stability of the UAV during survey flight.

[0043] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0044] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 This is a system block diagram of the present invention;

[0046] Figure 2 This is a schematic diagram illustrating the method for determining missed areas in this invention. Detailed Implementation

[0047] 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.

[0048] In one embodiment, such as Figure 1 As shown, a smart surveying system for photovoltaic power plants is disclosed, the system comprising:

[0049] The system comprises the following modules: a flight path determination module (located within the UAV flight control system) and a data acquisition module (mounted on the UAV body) for collecting flight parameters; a flight analysis module (also located within the UAV flight control system) for receiving parameters from the data acquisition module, analyzing and calculating these parameters, and generating adjustment commands; and a flight attitude adjustment module (communicating with the flight analysis module) for adjusting the UAV's flight attitude according to these commands.

[0050] The above technical solution first enlarges the planned drawings proportionally to determine the actual area that the UAV needs to survey. Then, the flight path delineation module divides the data into multiple flight tracks to determine the UAV's flight trajectory during the survey. This allows the UAV to survey the ground according to the pre-set trajectory, reducing missed images and improving survey accuracy. Next, the data acquisition module collects parameter information from each flight path and analyzes this information using the flight analysis module. This determines whether the UAV has deviated during the survey flight and sends the calculated adjustment commands to the flight attitude adjustment module to calibrate the UAV's flight attitude. This ensures the UAV can promptly return to its original flight position during the survey, guaranteeing survey accuracy.

[0051] As one embodiment of the present invention, the method by which the flight path determination module determines the flight path is as follows:

[0052] Based on the planning drawings, obtain the actual area outline of the survey area. Draw tangents from the four largest protruding sides of the actual area outline to form a rectangular area, which constitutes the UAV survey flight area.

[0053] A coordinate system is established with the length of the flight area as the X-axis and the width as the Y-axis. Based on the drone's shooting range and the length of the flight area, several flight runways are set at equal intervals on the X-axis. Each flight runway has several adjustment points, so that each adjustment point has corresponding coordinates on the XY-axis coordinate system.

[0054] Through the above technical solution, since the planned land is not necessarily all regular rectangular blocks during site selection, there may be protruding or recessed planned areas. If no planning is done during UAV surveying, there may be missed or repeated shots, thus affecting the efficiency of the survey. Therefore, by obtaining the actual area outline of the survey area, tangents are drawn from the four largest protruding edges of the actual area outline to form a rectangular area. This rectangular area can cover the entire survey area, forming the UAV survey flight area. The UAV surveys along the runway direction within the runway, making reasonable plans to reduce survey time. At the same time, to facilitate the accuracy of the survey, several adjustment points are set on each runway. When passing each adjustment point, the current flight trajectory of the UAV is analyzed to adjust the position of the UAV, thereby ensuring the accuracy of the UAV during the survey.

[0055] As one embodiment of the present invention, the parameter information includes the position information of the UAV at each adjustment point, the yaw angle, the wind speed information and the wind direction information of the UAV during flight.

[0056] By using the above technical solution, the position information of the UAV at each adjustment point can be obtained, thereby determining the position and distance of the UAV's deviation. The location of the UAV's deviation can be determined by the obtained yaw angle. By obtaining the wind speed and wind direction information of the UAV during flight and analyzing it, the speed of the UAV can be adjusted in a timely manner according to the situation of the day, which can ensure the stable flight of the UAV during the survey.

[0057] In the above technical solution, the drone's position information can be obtained through GPRS positioning, while the yaw angle can be obtained through a yaw angle sensor installed on the drone body. Similarly, wind speed and wind direction information can be obtained through wind measurement equipment installed on the drone body and obtained through vector calculation based on existing technology, which will not be described in detail here.

[0058] As one embodiment of the present invention, the method of the flight analysis module includes:

[0059] Each time the drone reaches an adjustment point, it acquires the real-time distance X from the drone's center point to the left and right sides of the runway. l X R Using the formula S=X L -X R as well as Determine the drone's flight deviation direction S and deviation distance M;

[0060] If S > 0, the drone will shift to the right by M.

[0061] If S < 0, the drone will shift to the left by M.

[0062] Simultaneously, the offset distance M and the system's preset allowable offset value M will be obtained. max Perform a comparison;

[0063] If M∈(0, M max If the value is within the allowable offset error range, it indicates that the drone will not miss any shots. At this time, the corresponding adjustment command is generated based on the offset direction and offset distance.

[0064] If M∈(M max If the value is +∞), it indicates that the drone's flight exceeds the allowable offset error, resulting in missed shooting areas. In this case, corresponding adjustment commands are generated based on the offset direction and offset distance.

[0065] Through the above technical solution, since the UAV flies forward from the center of the runway during surveying flights, it may be deviated from its position upon reaching an adjustment point due to various external factors. Therefore, when the UAV flies to the next adjustment point, it uses S=X L -X RTo determine the position of the offset, if S > 0, the drone shifts to the right; if S < 0, the drone shifts to the left. This is determined using the formula... Determining the distance of the drone's deviation allows for timely adjustments based on the distance and direction of the deviation upon reaching the next adjustment point. For example, if a 2-meter deviation to the right is detected at the adjustment point, this information is transmitted to the flight attitude adjustment module. This module then shifts the drone 2 meters to the left before flying to the next adjustment point, ensuring the drone stays as close to the center of the runway as possible during surveying, thus guaranteeing accuracy. While the drone's shooting angle is affected by deviation, slight deviations are usually not significant due to its wide-angle shooting capabilities. However, excessive deviation may prevent the drone from capturing the planned area, resulting in missed shots. Therefore, according to the formula... Determine the distance of the drone's offset and compare it with the system's preset allowable offset value M. max Perform a comparison; if M∈(0, M max This indicates that the drone will not miss any areas within the allowable offset error range. And if M∈(M max If the value is +∞, it indicates that the drone's flight exceeds the allowable offset error. In this case, the missed shooting area needs to be identified and marked so that timely reshoots can be performed.

[0066] The above technical solution consists of a flight attitude adjustment module receiver, a display unit, and a steering controller installed on the head of the drone. Adjustment commands can be received by the receiver and displayed on the display unit. The operator can adjust the drone by controlling the remote control handle, or the drone can be adjusted by directly controlling the steering controller on the head of the drone after receiving the command from the receiver.

[0067] As one embodiment of the present invention, the analysis method of the flight analysis module further includes:

[0068] The wind speed and direction information of the survey area on that day are obtained by meteorological data, and the dynamic curve of the drone's flight speed is simulated based on the wind speed and direction information.

[0069] Get the current adjustment point Y i Compared with the previous adjustment point Y i-1 By examining the curves showing the change in wind speed over time and the change in wind direction over time, we can obtain the wind speed parameter value and the wind direction reference value.

[0070] The obtained wind speed parameters and wind direction reference values ​​are input into the simulated drone flight speed dynamic curve, and the updated average flight speed V is obtained. a ;

[0071] Adjust point Y i Real-time speed V i The theoretical real-time speed V of the system simulation ideal Comparison:

[0072] If V i Greater than V ideal Or V i Less than V ideal Then adjust the drone at adjustment point Y. i With the next adjustment point Y i+1 The flight speed between.

[0073] The above technical solution addresses the issue that drones are easily affected by wind speed during flight, which can impact surveying operations. To mitigate this impact, a flight analysis module can connect to the meteorological bureau system to obtain wind speed and direction information for the survey area. Based on this information, a dynamic curve of the drone's flight speed can be simulated. However, since wind speed and direction may change in real time, more accurate adjustments to the drone's flight can be made by obtaining the current adjustment point Y. i Compared with the previous adjustment point Y i-1 By analyzing the curves showing the changes in wind speed and direction over time, wind speed parameters and wind direction reference values ​​are obtained. These values ​​are then input into the simulated drone flight speed dynamic curve to update the data and obtain the average speed V for the current flight phase. a Then adjust the current point Y i Real-time speed V at the location i The theoretical real-time speed V of the system simulation ideal By comparing and analyzing the data, the drone can be adjusted at the adjustment point Y. i With the next adjustment point Y i+1 The flight speed is adjusted at each adjustment point, allowing the drone's flight speed to better match the wind direction and speed of the day, thus reducing the impact on the drone during surveying.

[0074] In the above technical solution, the dynamic curve of the drone's flight speed on that day is simulated based on wind speed and wind direction information. This can be obtained by establishing a simulation model using existing technology through the relationship between flight speed and wind speed and wind direction in historical big data, which will not be described in detail here.

[0075] As one embodiment of the present invention, the method for obtaining wind speed parameter values ​​is as follows:

[0076] Based on adjustment point Y i Compared with the previous adjustment point Y i-1The wind speed per second is calculated, and the sum of these wind speeds is used to determine the adjustment point Y. i Compared with the previous adjustment point Y i-1 The average wind speed between these values ​​is the wind speed parameter value.

[0077] The above technical solution addresses the issue that, since wind speed changes in real time, individually inputting each wind speed into the dynamic curve of the drone's flight speed would cause data inconsistencies. Therefore, by adjusting point Y... i Compared with the previous adjustment point Y i-1 The average wind speed over this distance is calculated and used to represent the wind speed over that distance, thus yielding the wind speed parameter value.

[0078] As one embodiment of the present invention, the method for obtaining wind direction reference values ​​is as follows:

[0079] Determine the adjustment point Y i Compared with the previous adjustment point Y i-1 The wind direction within a second will adjust point Y. i Compared with the previous adjustment point Y i-1 The wind direction is classified across all time periods, and the most frequent wind direction is taken as the wind direction reference value.

[0080] The above technical solution addresses the uncertainty of wind direction changes, but notes that wind direction is generally similar on the same day and in the same season. Therefore, wind direction is measured every second using wind measuring equipment. Wind direction can be classified into eight directions: east, south, west, north, northeast, southeast, southwest, and northwest. The wind direction is then classified every second within the flight period, and the most frequent classification is determined to be the wind direction that best represents the flight period, thus obtaining a wind direction reference value.

[0081] As one embodiment of the present invention, such as Figure 2 As shown, the method for obtaining the missed areas is as follows:

[0082] Mark the coordinate axis (X) of the current adjustment point i Y i ), where is the coordinate of the end of the missed area;

[0083] Obtain the yaw angle θ of the current drone flight using the formula. Find the coordinates of the starting point of the UAV yaw (X). i If G), then Y i With Y i-1 The G-distance between them represents the area missed by the drone.

[0084] Using the above technical solution, when the drone's flight exceeds the maximum operational error, it will not be able to capture the predetermined area, resulting in missed images during the survey. However, while the key locations of these missed images can be determined, the starting locations are not easily identified. Therefore, a diagonal line is drawn from the drone's yaw angle θ, extending to both sides, with one end aligned with the offset value M. max Connect one end of the line to the current adjustment point to form a right triangle, using the formula... Calculate the offset distance, which represents the missed area. Then, when the drone returns to base, the missed area will be located in the Y region. i With Y i-1 Simply fly the corresponding distance between them to take additional photos.

[0085] As one embodiment of the present invention, the method for adjusting the flight speed of a drone is as follows:

[0086] When V i Greater than V ideal At that time, through The adjustment speed ΔV(t) is obtained i-1 If the drone is adjusted at point Y, then the drone will be positioned at point Y. i With the next adjustment point Y i+1 The flight speed between them was adjusted to V. a -ΔV(t i-1 );

[0087] When V i Less than V ideal At that time, through The adjustment speed ΔV(t) is obtained i-1 If the drone is adjusted at point Y, then the drone will be positioned at point Y. i With the next adjustment point Y i+1 The flight speed between them was adjusted to V. a +ΔV(t i-1 );

[0088] Where t i-1 For the drone at adjustment point Y i Compared with the previous adjustment point Y i-1 Flight time between, t 理 This refers to the theoretical flight time.

[0089] Through the above technical solution, when adjusting point Y i Real-time speed V i Greater than the theoretical real-time speed V simulated by the system ideal When |t| > 0, it indicates that the drone's flight speed is too high and the flight time is too short. 理 -t i-1 | Calculate the time difference, and then use t 理 +|t 理 -ti-1 |To determine the flight time for the next flight phase, after passing through The adjustment speed ΔV(t) is obtained i-1 ), For adjustment point Y i Compared with the previous adjustment point Y i-1 distance, For adjustment point Y i With the next adjustment point Y i+1 The distance between them is used to determine the adjustment speed ΔV(t). i-1 If the drone's speed is V in the next flight segment, then the drone's speed will be V. a -ΔV(t i-1 This is to reduce the flight speed of drones and maintain stability.

[0090] Similarly, when adjusting point Y i Real-time speed V i Less than the theoretical real-time speed V simulated by the system ideal When |t| > 0, it indicates that the drone's flight speed is too slow and the flight time is too long. In this case, |t| > 0. 理 -t i-1 | Calculate the time difference, and then use t 理 -|t 理 -t i-1 |To determine the flight time for the next flight phase, after passing through The adjustment speed ΔV(t) is obtained i-1 If the drone's speed is V in the next flight segment, then the drone's speed will be V. a +ΔV(t i-1 This is to increase the flight speed of the drone, stabilize it, and ensure the stability and accuracy of the drone survey.

[0091] When adjusting point Y i Real-time speed V i The theoretical real-time speed V of the system simulation ideal If the speeds are the same, continue moving forward at the current speed.

[0092] In the above technical solution, the theoretical time and theoretical speed can be obtained by combining the simulated dynamic curve of the drone's flight speed on the day with historical flight data values, which will not be described in detail here.

[0093] A method for intelligent surveying of photovoltaic power plants, which uses the aforementioned intelligent surveying system for photovoltaic power plants to conduct surveys of photovoltaic power plants.

[0094] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

Claims

1. A photovoltaic power station intelligent survey system, characterized in that, The system comprises: a flight path setting module arranged in the UAV flight control system, used for determining the flight path of the UAV during surveying; a data acquisition module arranged on the UAV body, used for acquiring parameter information during UAV flight; a flight analysis module arranged in the UAV flight control system, used for receiving the parameter information of the data acquisition module and analyzing and calculating the parameter information to obtain an adjustment instruction; a flight attitude adjustment module in communication connection with the flight analysis module, used for adjusting the flight attitude of the UAV according to the adjustment instruction; the analysis method of the flight analysis module comprises: acquiring the wind speed information and the wind direction information of the surveying area on the day through meteorological data, and simulating a UAV flight speed dynamic curve diagram according to the wind speed information and the wind direction information; acquiring a current adjustment point a curve of the magnitude of the wind speed and a curve of the change of the wind direction over time between the previous adjustment point and the current adjustment point, and deriving a wind speed parameter value and a wind direction reference value; The obtained wind speed parameter value and wind direction reference value are brought into the simulated unmanned aerial vehicle flight speed dynamic curve diagram, and an updated flight average speed is obtained ; Comparing the real-time speed of the adjustment point with the theoretical real-time speed of the system simulation ​​ If greater than or less than , adjust the flight speed of the UAV between the adjustment point and the next adjustment point ; The method for adjusting the flight speed is as follows: when Greater than At that time, through = The adjustment speed is obtained. Then the drone will be adjusted at the point With the next adjustment point The flight speed between them was adjusted to - ; When Less than , the flight speed of the unmanned aerial vehicle between the adjustment point = is adjusted to ; the flight speed of the unmanned aerial vehicle between the adjustment point and the next adjustment point is adjusted to + ; wherein is the flight time of the drone between the adjustment points and the previous adjustment point , is the theoretical flight time.

2. The photovoltaic power station intelligent survey system according to claim 1, characterized in that, the method for determining the flight path of the flight path setting module is: obtaining the actual area contour of the surveying area according to the planning drawing, cutting a tangent line at each maximum outer protruding edge on the four edges of the actual area contour to form a rectangular area, and composing a UAV surveying flight area; establishing a coordinate system with the length of the flight area as the X-axis and the width as the Y-axis, setting a plurality of flight runways on the X-axis according to the photographable range of the UAV and the length of the flight area, and setting a plurality of adjustment points on each flight runway, so that each adjustment point corresponds to a corresponding coordinate on the XY-axis coordinate system. 3.The intelligent survey system for photovoltaic power station of claim 2, characterized in that, The parameter information comprises the position information of the UAV at each adjustment point, the yaw angle, the wind speed information and the wind direction information of the UAV during flight.

4. The photovoltaic power station intelligent survey system according to claim 3, characterized in that, The method of the flight analysis module comprises: When the unmanned aerial vehicle flies to an adjustment point, the real-time distance between the center point of the unmanned aerial vehicle and the left side and the right side of the runway is obtained , , the flight deviation direction S and the deviation distance M of the unmanned aerial vehicle are judged by the formula S= and M= ; if S>0, the UAV offsets to the right side by M; if S<0, the UAV offsets to the left side by M; Meanwhile, the offset distance M obtained is compared with a system preset allowed offset value Comparison is made; If M∈ , ], it indicates that the UAV will not miss shooting within the allowable offset error, and corresponding adjustment instructions are generated according to the offset direction and the offset distance. If M∈( , +∞), it indicates that the flight of the unmanned aerial vehicle exceeds the allowed offset error, and a missed shooting area is generated, and at this time, corresponding adjustment instructions are generated according to the offset direction and the offset distance.

5. The photovoltaic power station intelligent survey system according to claim 4, characterized in that, The method for obtaining the wind speed parameter value is: The wind speed parameter value is the average wind speed between the previous adjustment point and the current adjustment point The wind speed parameter value is the average wind speed between the previous adjustment point and the current adjustment point The wind speed parameter value is the average wind speed between the previous adjustment point 6. The photovoltaic power station intelligent survey system according to claim 5, characterized in that, The method for obtaining the wind direction reference value is: judgment adjustment point wind direction between the last adjustment point and the current adjustment point wind direction between the last adjustment point and the current adjustment point 7. The photovoltaic power station intelligent survey system according to claim 6, characterized in that, The method for obtaining the missed photographing area is: marking the coordinate axis of the current adjustment point , ), as the end coordinates of the missed shot area; Obtain the yaw angle θ of the current unmanned aerial vehicle flight, through the formula G= The yaw starting point coordinates of the unmanned aerial vehicle are obtained , ), then The distance between and is the missed shooting area of the unmanned aerial vehicle.

8. A method for intelligent survey of a photovoltaic power plant, characterized in that, The intelligent surveying system for a photovoltaic power station is used for surveying.

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