A photovoltaic power station inspection method, inspection device and storage medium

Abstract

The present application discloses a photovoltaic power station inspection method, inspection device and storage medium, wherein the photovoltaic power station inspection method includes: obtaining a photovoltaic power station layout diagram and a flight area point diagram, wherein the flight area point diagram includes multiple coordinate points, and the multiple coordinate points are determined by multiple collected images and corresponding coordinate information; converting the multiple coordinate points to the photovoltaic power station layout diagram; determining abnormal points based on multiple images, and marking the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout diagram. Through the above method, the inspection accuracy and efficiency of the photovoltaic power station can be improved, which is conducive to reducing the maintenance cost of the photovoltaic power station.

Description

Technical Field

[0001] The present application relates to the technical field of photovoltaic power station inspection, and in particular to an inspection method, an inspection device, and a storage medium for a photovoltaic power station. Background Art

[0002] Due to the unique characteristics of the photovoltaic power generation industry, PV power stations are often located in remote locations, contain numerous devices, and are distributed over vast areas. Equipment failures can cause direct property losses and safety hazards. Effectively testing the quality and functionality of these increasingly large solar power stations has long been a challenge for solar PV engineers worldwide.

[0003] Existing manual inspection methods suffer from numerous issues, including low efficiency, high error rates, and lengthy inspection times. The use of wirelessly controlled (RC) unmanned aerial vehicles (UAVs) for both civil and commercial purposes has been steadily increasing. The use of drones in photovoltaic power plant inspections offers advantages such as high mobility, reduced labor costs, and increased inspection frequency. Summary of the Invention

[0004] To solve the above problems, the present application provides a photovoltaic power station inspection method, inspection device and storage medium, which can improve the inspection accuracy and efficiency of photovoltaic power stations and help reduce the maintenance cost of photovoltaic power stations.

[0005] A technical solution adopted in the present application is: to provide a method for inspecting a photovoltaic power station, the method comprising: obtaining a photovoltaic power station layout map and a flight area point map, wherein the flight area point map includes multiple coordinate points, and the multiple coordinate points are determined by multiple collected images and corresponding coordinate information; converting the multiple coordinate points to the photovoltaic power station layout map; determining abnormal points based on the multiple images, and marking the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout map.

[0006] Among them, converting multiple coordinate points to the photovoltaic power station layout map includes: determining the inspection area on the photovoltaic power station layout map; calculating the conversion relationship between the pixel value of the photovoltaic power station layout map and the coordinate value of the flight area point map; and converting the multiple coordinate points to the inspection range of the photovoltaic power station layout map based on the conversion relationship.

[0007] Calculating the conversion relationship between the pixel values ​​of the photovoltaic power station layout diagram and the coordinate values ​​of the flight area point diagram includes: determining the pixel width and height of the inspection area, and determining the coordinate width and height of the flight area point diagram; and calculating the conversion relationship between pixel units and coordinate units based on the pixel width and height and the coordinate width and height.

[0008] Among them, according to the conversion relationship, multiple coordinate points are converted to the inspection range of the photovoltaic power station layout map, including: determining the origin in the photovoltaic power station layout map, and establishing a two-dimensional coordinate system based on the origin of the photovoltaic power station layout map; calculating the coordinate distance between the coordinate point in the flight area point map and the origin; according to the conversion relationship, the coordinate distance is converted into pixel distance; according to the pixel distance, the corresponding pixel point is determined in the photovoltaic power station layout map.

[0009] The image is an infrared image, and the abnormal point is a hot spot in the infrared image; the abnormal point is determined based on multiple images, and the photovoltaic components corresponding to the abnormal point are marked on the photovoltaic power station layout diagram, including: determining the corresponding field of view area on the photovoltaic power station layout diagram according to the field of view range of the infrared image; according to the position of the hot spot in the infrared image, the corresponding coordinates of the hot spot in the field of view area; according to the coordinates of the hot spot, marking the photovoltaic components corresponding to the hot spot.

[0010] Among them, according to the position of the hot spot in the infrared image, the corresponding coordinates of the hot spot in the field of view include: determining the coordinates of the marker point on the edge of the field of view; according to the position of the hot spot in the infrared image, determining the corresponding coordinates of the hot spot in the field of view.

[0011] Among them, hot spots include ordinary hot spots and severe hot spots; marking the photovoltaic components corresponding to the hot spots includes: marking the corresponding photovoltaic components with corresponding colors according to the type of hot spots.

[0012] Among them, after determining the abnormal points based on multiple images and marking the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout map, it also includes: classifying the photovoltaic components according to the markings of the photovoltaic components on the photovoltaic power station layout map, and counting the number of photovoltaic components of each category.

[0013] Another technical solution adopted in the present application is to provide an inspection device for a photovoltaic power station, wherein the inspection device includes a processor and a memory connected to the processor, the memory stores program data, and the processor is used to execute the program data to implement the above method.

[0014] Another technical solution adopted by the present application is: providing a computer-readable storage medium, in which program data is stored. When the program data is executed by a processor, it is used to implement the above method.

[0015] The inspection method for a photovoltaic power station provided by the present application includes: obtaining a photovoltaic power station layout map and a flight area point map, wherein the flight area point map includes multiple coordinate points, and the multiple coordinate points are determined by multiple collected images and corresponding coordinate information; converting the multiple coordinate points to the photovoltaic power station layout map; determining abnormal points based on the multiple images, and marking the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout map. Through the above method, the photovoltaic power station layout map and the flight area point map can be combined, and the collected infrared images can be marked on the photovoltaic power station layout map. Therefore, not only can the photovoltaic components be inspected from the coordinates, but a specific photovoltaic component can also be determined from the photovoltaic power station layout map, so that the staff can easily know the fault location and quickly maintain the faulty photovoltaic component, thereby reducing maintenance costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without inventive efforts. Among them:

[0017] Figure 1 This is a flow chart of an embodiment of a photovoltaic power station inspection method provided by the present application;

[0018] Figure 2 This is a schematic diagram of an inspection area provided in one embodiment of the present application;

[0019] Figure 3 This is a flight area point map provided by an embodiment of the present application;

[0020] Figure 4 yes Figure 3 Schematic diagram of coordinate transformation of the flight area point map;

[0021] Figure 5 This is a flow chart of another embodiment of the inspection method for a photovoltaic power station provided by the present application;

[0022] Figure 6 This is a layout diagram of a photovoltaic power station provided in one embodiment of the present application;

[0023] Figure 7 is an infrared image provided by an embodiment of the present application;

[0024] Figure 8 This is a schematic diagram of a section of a power station layout diagram provided in one embodiment of the present application;

[0025] Figure 9 This is a structural diagram of an embodiment of a photovoltaic power station inspection device provided by the present application;

[0026] Figure 10 It is a structural diagram of an embodiment of a computer-readable storage medium provided by this application. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It will be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some, rather than all, structures related to the present application are shown in the drawings. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0028] The terms "first," "second," and the like in this application are used to distinguish between different objects, not to describe a particular order. Furthermore, the terms "including," "having," and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements, but may optionally include steps or elements not listed, or may optionally include other steps or elements inherent to the process, method, product, or apparatus.

[0029] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0030] See Figure 1 , Figure 1 1 is a flow chart of an embodiment of a photovoltaic power station inspection method provided by the present application, the method comprising:

[0031] Step 11: Obtain coordinate information of multiple location points, wherein the coordinate information of the multiple location points is obtained by detecting corresponding location points in the photovoltaic power station.

[0032] Alternatively, the data can be collected on the spot by staff using professional equipment. In addition, in other embodiments, the data can also be obtained by obtaining it from a map or other methods.

[0033] The amount of coordinate information collected can be determined based on the shape of the photovoltaic power station's coverage area. For example, if the photovoltaic power station's coverage area is rectangular, coordinate information can be collected once at each of the four corners of the rectangular area to establish a rectangular inspection area. For another example, if the photovoltaic power station's coverage area is trapezoidal, coordinate information can be collected once at each of the four corners of the trapezoidal area to establish a trapezoidal inspection area. Furthermore, it is understood that regardless of the shape of the photovoltaic power station's coverage area, it can be uniformly determined as a rectangular inspection area, and the coverage area of ​​the rectangular inspection area must include the coverage area of ​​the photovoltaic power station.

[0034] Optionally, the coordinate information in step 11 may be GPS coordinates, specifically including longitude and latitude. The staff may obtain the GPS coordinates using a dedicated GPS device, or may use an auxiliary device with a GPS positioning function for positioning, such as a smartphone, smartwatch, or tablet computer.

[0035] Step 12: Plan an inspection route based on the coordinate information of the multiple location points, and determine multiple collection points in the inspection route.

[0036] Optionally, in one embodiment, step 12 may specifically include:

[0037] Step 121: Determine an inspection area based on the coordinate information of multiple location points.

[0038] Step 122: Plan an inspection route in the inspection area.

[0039] like Figure 2 As shown, Figure 2 Schematic diagram of the inspection area provided by one embodiment of the present application, wherein G represents a photovoltaic module, A, B, C, and D represent multiple location points obtained in step 11, Z represents the inspection area, L represents the inspection path, and S represents a collection point in the inspection path.

[0040] Optionally, in one embodiment, the inspection path L can be configured based on the shape of the inspection area Z. For example, if the inspection area Z is rectangular, a circuitous path can be configured starting from one side of the rectangle (e.g., side AB). The spacing between two adjacent parallel circuitous paths can be set empirically or based on the image acquisition range of the image sensor, so that the image collector can capture images of all photovoltaic modules as much as possible.

[0041] Alternatively, in another embodiment, the inspection path L can be set based on the location of the PV modules. For example, if the PV modules are spaced 1 meter apart, the spacing between two adjacent parallel circuitous paths can also be set to 1 meter. It is understood that the collection points can be arranged in a regular or irregular pattern. For example, in areas with no PV modules, fewer or no collection points can be set, while in areas with densely populated PV modules, more collection points can be set.

[0042] Step 123: Determine multiple collection points in the inspection path.

[0043] Optionally, the collection points may be set according to the image collection range of the image sensor, so that the image collector can collect images of all photovoltaic modules as much as possible.

[0044] Step 13: Conduct inspections according to the inspection route and collect images at each collection point.

[0045] Optionally, the inspection path is sent to an unmanned aerial vehicle so that the unmanned aerial vehicle performs inspections according to the inspection path and collects images at each collection point. The unmanned aerial vehicle is provided with an infrared sensor and a positioning device. It can be understood that the inspection path contains the coordinate information of each collection point, and the unmanned aerial vehicle flies according to the coordinate information, and collects infrared images at each collection point using an infrared sensor. The infrared image can indicate a temperature anomaly of a photovoltaic module. For example, if a hot spot (a spot with a color different from that of other locations) appears in a certain frame of an infrared image, it can be determined that the photovoltaic module corresponding to the hot spot has a temperature anomaly. The infrared sensor can be an infrared camera or other infrared sensor.

[0046] In one embodiment, each frame of infrared image collected by the unmanned aerial vehicle is saved in the form of an image file, such as jpg, png and other formats, without limitation. The detailed information of each image file includes the location information corresponding to the frame of image, such as the specific longitude and latitude.

[0047] After the inspection is completed, the UAV can send these pictures to the inspection device through wired or wireless data transmission so that the inspection device can perform subsequent processing.

[0048] Step 14: Use the coordinate information corresponding to the collected images to create a flight area point map, and use the collected images to detect the situation of the photovoltaic power station.

[0049] Optionally, in one embodiment, step 14 may specifically include:

[0050] Step 141: Create a flight area point map using the coordinate information corresponding to the collected image.

[0051] The image files corresponding to each collection point acquired in step 13 are used to create a flight area point map based on coordinate information corresponding to the image files.

[0052] Specifically, the following steps may be included: determining the minimum longitude value and the minimum latitude value in the coordinate information; establishing a rectangular coordinate system with the minimum longitude value and the minimum latitude value as the origin; marking in the rectangular coordinate system according to the coordinate information corresponding to the image file to obtain a flight area point map.

[0053] In the multiple frames obtained in the above steps, the GPS coordinates of the i-th picture are recorded as GPS (longitude, latitude) i , then the GPS coordinates of N images of the inspection power station can be expressed as:

[0054] GPS [longitude, latitude] i =[GPS(longitude,latitude)1,…,

[0055] GPS (longitude, latitude) N ]

[0056] According to the GPS (longitude, latitude) in the above formula i The GPS points are used to draw a flight area point map of the inspection area, such as Figure 3 As shown, Figure 3 This is a flight area point map provided by an embodiment of the present application. In this embodiment, the horizontal axis represents east longitude and the vertical axis represents north latitude.

[0057] Further, if Figure 4 As shown, Figure 4 yes Figure 3 Schematic diagram of coordinate conversion of the flight area point map, the minimum value of GPS longitude and latitude for all the above pictures min 、latitude min and maximum longitude max 、latitude max By [longitude min , latitude min ] The minimum point on the lower left of the inspection area is LB(x gps ,y gps ), by [longitude min , latitude min ]The maximum point on the upper right of the inspection area is RT(x gps ,y gps ) is established based on LB(xgps ,y gps ) is the local coordinate system O of the inspection area with the origin gps0 , the local coordinate system O of the inspected photovoltaic power station gps0 Put into the earth coordinate system O gps (0, 0) down.

[0058] Step 142: Combine the flight area point map with the power station layout map to detect the situation of the photovoltaic power station.

[0059] Optionally, in one embodiment, a preset image processing algorithm can be used to identify each infrared image frame to determine whether a hot spot appears in the image. The corresponding coordinates are then located in the flight area point map and specially marked for prompt notification. For example, points corresponding to hot spots can be flashed or highlighted to allow personnel to promptly identify them and, based on the coordinates of the points, perform maintenance on the corresponding photovoltaic modules.

[0060] Alternatively, in another embodiment, the flight area point map can be combined with a power plant layout diagram. The power plant layout diagram is a diagram of the layout of photovoltaic modules in a photovoltaic power plant, showing the relative positions of the modules. Therefore, the flight area point map can be combined with the power plant layout diagram, with each point in the flight area point map correspondingly marked on the power plant layout diagram. This makes it easy to identify which photovoltaic module has a problem. This section will be described in detail in the following embodiments and will not be repeated here.

[0061] Different from the prior art, the inspection method for a photovoltaic power station provided in this embodiment includes: obtaining coordinate information of multiple location points, wherein the coordinate information of the multiple location points is obtained by detecting the location points corresponding to the photovoltaic power station, and the location point detection method can be obtained through field detection, map detection, or other methods; planning an inspection route based on the coordinate information of the multiple location points, and determining multiple collection points in the inspection route; conducting inspections according to the inspection route, and collecting images at each collection point; using the coordinate information corresponding to the collected images, establishing a flight area point map, and combining the collected images to detect the conditions of the photovoltaic power station. Through the above method, by detecting the obtained location information, on the one hand, the inspection range of the photovoltaic power station can be accurately determined, avoiding the prior art method of taking multiple frames of aerial images and then stitching them together to be more accurate; on the other hand, through a simple flight area point map, combined with the collected infrared images, abnormal coordinates can be clearly reflected, so that staff can quickly carry out maintenance, thereby improving the stability and life of the equipment and reducing maintenance costs.

[0062] See Figure 5 , Figure 51 is a flow chart of another embodiment of a photovoltaic power station inspection method provided by the present application, the method comprising:

[0063] Step 51: Obtaining a photovoltaic power station layout diagram and a flight area point diagram, wherein the flight area point diagram includes a plurality of coordinate points, and the plurality of coordinate points are determined by a plurality of collected images and corresponding coordinate information.

[0064] The power station layout diagram is a diagram of the layout of photovoltaic modules in the photovoltaic power station, and is obtained by scaling the actual positional relationship between the photovoltaic modules in the photovoltaic power station. Optionally, the flight area point diagram can be obtained using the method of the above embodiment, which will not be repeated here.

[0065] Step 52: Convert the multiple coordinate points to the photovoltaic power station layout diagram.

[0066] Optionally, in one embodiment, step 52 may specifically include:

[0067] Step 521: Determine an inspection area on the photovoltaic power station layout diagram.

[0068] like Figure 6 As shown, Figure 6 This is a photovoltaic power station layout diagram provided by an embodiment of the present application. In this embodiment, marking points (represented by solid squares) are marked on the photovoltaic power station layout diagram according to the scope of the photovoltaic power station inspection area, specifically including: the upper left point LT (x pix ,y pix ), lower left point LB(x pix ,y pix ), lower right point RB(x pix ,y pix ), upper right point RT(x pix ,y pix ).

[0069] Step 522: Calculate the conversion relationship between the pixel values ​​of the photovoltaic power station layout diagram and the coordinate values ​​of the flight area point diagram.

[0070] Among them, the pixel width and height of the inspection area and the coordinate width and height of the flight area point map are determined; according to the pixel width and height and the coordinate width and height, the conversion relationship between pixel units and coordinate units is calculated.

[0071] Specifically, the upper left point LT(x pix ,y pix ), lower left point LB(x pix ,y pix ), lower right point RB(x pix ,y pix ), upper right point RT(x pix ,y pix) calculate the width and height ROI (w pix , h pix )(Image unit: pixel).

[0072] Specifically, you can refer to the following formula to calculate the pixel width:

[0073] ROI(w pix )1=RT(x pix )-LT(x pix ),or

[0074] ROI(w pix )2=RB(x pix )-LB(x pix ), or, you can also use the average of the above two algorithms, as follows:

[0075] ROI(w pix )=[RT(x pix )-LT(x pix )+RB(x pix )-LB(x pix )] / 2.

[0076] Similarly, the pixel height can be calculated using the following formula:

[0077] ROI(h pix )1=LB(y pix )-LT(y pix ),or

[0078] ROI(h pix )2=LB(y pix )-RT(y pix ), or, you can also use the average of the above two algorithms, as follows:

[0079] ROI(h pix )=[LB(y pix )-LT(y pix )+LB(y pix )-RT(y pix )] / 2.

[0080] Furthermore, through GPS ( gps , h gps ) and ROI(w pix , h pix ) to perform corresponding operations to obtain the unit pixel and GPS conversion unit Unit(x, y).

[0081] Specifically, Unit(x, y)=ROI(w gps , h gps ) / ROI(wpix , h pix ).

[0082] Of course, since the width-to-height ratios of the PV power station layout and the flight area point map are generally consistent, they may differ due to measurement errors. Therefore, the conversion units of width and height can also be calculated separately, for example:

[0083] Unit(x)=ROI(w gps ) / ROI(w pix ),or

[0084] Unit(y)=ROI(h gps ) / ROI(h pix ).

[0085] Step 523: According to the conversion relationship, the multiple coordinate points are converted to the inspection range of the photovoltaic power station layout diagram.

[0086] Optionally, in this embodiment, if Figure 6 As shown, the origin is determined in the photovoltaic power station layout diagram, and a two-dimensional coordinate system is established based on the origin of the photovoltaic power station layout diagram.

[0087] Specifically, the coordinate distance between the coordinate point in the flight area point map and the origin is calculated; the coordinate distance is converted into pixel distance according to the conversion relationship; and the corresponding pixel point is determined in the photovoltaic power station layout map according to the pixel distance.

[0088] Understandably, combined Figure 4 , Figure 4 The coordinate map and the photovoltaic power plant layout map can be scaled according to the actual situation so that the corresponding ratios of the two are consistent. For example, the photovoltaic power plant layout map can be scaled according to the standard of infrared image.

[0089] Therefore, continue to refer to Figure 6 According to the photovoltaic power station layout image, point O in the lower left corner img (x pix ,y pix ) and the origin of the coordinate system LB(x pix ,y pix ) is the difference Diff(x pix ,y pix ), through Diff(x pix ,y pix ) and Unit(x, y) to obtain the coordinates of the lower left point of the photovoltaic power station layout diagram O img (x pix ,y pix )Diff(x gps ,y gps ), Diff(x gps,y gps ) and LB(x gps ,y gps ) add to get the coordinates of the lower left point of the photovoltaic power station layout diagram O img (x gps ,y gps ).

[0090] Then, according to the GPS point GPS [longitude, latitude] of the i-th picture of the image i With O img (x gps ,y gps ) to get the difference Value(x gps ,y gps ) i ,Value(x gps ,y gps ) i Calculate the distance between the center of the i-th infrared image and the lower left point LB of the photovoltaic power station layout image using Unit(x, y) img (x pix ,y pix )’s distance value Dist(x pix ,y pix ) i ; Then use Dist(x pix ,y pix ) i With O img (x pix ,y pix ) to make corresponding conversions, and obtain the position coordinates BlackPt(x pix ,y pix ) i .

[0091] Step 53: Determine abnormal points based on the multiple images, and mark the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout diagram.

[0092] It can be understood that the image can be an infrared image, which can indicate temperature abnormality of the photovoltaic component. For example, if a hot spot (a spot with a color different from other positions) appears in a frame of infrared image, it can be determined that the photovoltaic component corresponding to the hot spot has a temperature abnormality.

[0093] Optionally, in one embodiment, step 53 may specifically include:

[0094] Step 531: Determine a corresponding viewing area on the photovoltaic power station layout diagram according to the viewing range of the infrared image.

[0095] In one embodiment, the coordinates of a marker point on the edge of the field of view area can be determined. For example, if the field of view area is a rectangle, a vertex in the rectangle can be used as a marker point. Then, based on the position of the hot spot in the infrared image and the coordinates of the marker point, the corresponding coordinates of the hot spot in the field of view area can be determined.

[0096] Specifically, see Figure 7 and Figure 8 , Figure 7 is an infrared image provided by an embodiment of the present application, Figure 8 This is a schematic diagram of a section of a power station layout diagram provided in an embodiment of the present application. Specifically, it may include the following steps:

[0097] First, obtain the position coordinates BlackPt(x pix ,y pix ) i , then by BlackPt(x pix ,y pix ) i Calculate the i-th infrared image corresponding to a landmark point in the photovoltaic power station layout image Image with the dotted box Rect(x, y), such as the upper left point LTPoint(x, y) i .

[0098] The dotted frame Rect(x, y) can be determined according to the size of the infrared image. For example, the width and height of the infrared image can be determined by BlackPt(x pix ,y pix ) i The calculation of the dotted frame Rect(x, y) can be further used to calculate the coordinates of any one of the four vertices on the dotted frame.

[0099] Next, the trained AI (artificial intelligence) model is called to detect the boundary area (boundingBoxes) of the hot spot in the image collected by the drone. After image processing, the i-th infrared image is located at the center point of the hot spot HotPot (x pix ,y pix ) i The above AI model can be a neural network model trained in a supervised or unsupervised manner, which extracts features from the image to identify the boundary area of ​​the hot spot in the infrared image, where the center point of the hot spot HotPot (x pix ,y pix ) i It can be the geometric center of the boundary area of ​​the hot spot.

[0100] Step 532: Determine the corresponding coordinates of the hot spot in the field of view according to the position of the hot spot in the infrared image.

[0101] Further, according to the i-th infrared image LTPoint(x pix ,y pix ) i 、Hot Spot HotPot(x pix ,y pix ) i , we can calculate the coordinates H(x pix ,y pix ) i Specifically, we can first calculate HotPot(x pix ,y pix ) relative to the upper left point in the infrared image, and then according to the ratio S of the infrared image and the dotted box Rect(x, y), the distance is multiplied or divided by S to obtain the distance from LTPoint(x) to the corresponding hot spot on the photovoltaic power station layout. pix ,y pix ) i The distance Dis(x h ,y h ) i , LTPoint(x pix ,y pix ) i and Dis(x h ,y h ) i Add them together, and then we can calculate the coordinates H(x pix ,y pix ) i .

[0102] Step 533: Mark the photovoltaic components corresponding to the hot spots according to the coordinates of the hot spots.

[0103] Optionally, since the hot spot is marked in the power station layout diagram, the distance gradient between the hot spot and multiple nearby photovoltaic modules can be calculated, and the photovoltaic module with the smallest distance gradient can be determined as the photovoltaic module where the hot spot occurs.

[0104] Hot spots include common hot spots and severe hot spots. Therefore, the corresponding PV modules can be marked with corresponding colors according to the type of hot spot. For example, common hot spots can be marked in orange, and severe hot spots can be marked in red.

[0105] In addition, photovoltaic modules are connected in series to form photovoltaic strings, which can specifically include the following types: ordinary hot spots, severe hot spots, ordinary hot spot strings, severe hot spots, and no hot spot strings. Each type can be marked with a color, and the number of each type can be counted and presented in the form of a data table.

[0106] Different from the existing technology, the photovoltaic power station inspection method provided in this embodiment includes: obtaining a photovoltaic power station layout map and a flight area point map, wherein the flight area point map includes multiple coordinate points, and the multiple coordinate points are determined by multiple collected images and corresponding coordinate information; converting the multiple coordinate points to the photovoltaic power station layout map; determining abnormal points based on the multiple images, and marking the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout map. Through the above method, the photovoltaic power station layout map and the flight area point map can be combined, and the collected infrared images can be marked on the photovoltaic power station layout map. Therefore, not only can photovoltaic components be inspected based on coordinates, but a specific photovoltaic component can also be identified from the photovoltaic power station layout map, allowing staff to easily determine the fault location and quickly maintain the faulty photovoltaic component, thereby reducing maintenance costs.

[0107] See Figure 9 , Figure 9 1 is a schematic structural diagram of an embodiment of a patrol device for a photovoltaic power station provided in the present application. The patrol device 90 includes a processor 91 and a memory 92 connected to the processor 91 , and program data is stored in the memory 92 .

[0108] Optionally, in one embodiment, the processor 91 is used to execute program data to implement the following method: obtaining coordinate information of multiple location points, wherein the coordinate information of the multiple location points is obtained by detecting the location points corresponding to the photovoltaic power station; planning an inspection path based on the coordinate information of the multiple location points, and determining multiple collection points in the inspection path; performing inspections according to the inspection path, and performing image collection at each collection point; using the coordinate information corresponding to the collected images to establish a flight area point map, and detecting the situation of the photovoltaic power station in combination with the collected images.

[0109] Optionally, in another embodiment, the processor 91 is used to execute program data to implement the following method: obtaining a photovoltaic power station layout map and a flight area point map, wherein the flight area point map includes multiple coordinate points, and the multiple coordinate points are determined by multiple collected images and corresponding coordinate information; converting the multiple coordinate points to the photovoltaic power station layout map; determining abnormal points based on the multiple images, and marking the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout map.

[0110] In one embodiment, the inspection device 90 may also include a display screen for displaying images such as infrared images, coordinate images, and photovoltaic power station layout diagrams, or displaying statistical results of faulty photovoltaic modules. Furthermore, the inspection device 90 may also include an alarm component, such as a flashing light, a buzzer, or a speaker, for providing an alert when a fault is detected.

[0111] In addition, in one embodiment, the inspection device 90 may also include a communication module, such as 4G, 5G, WIFI, etc., for establishing a wireless communication connection with the unmanned aerial vehicle to remotely control and exchange data with the unmanned aerial vehicle.

[0112] See Figure 10 , Figure 10 1 is a schematic structural diagram of an embodiment of a computer-readable storage medium provided in the present application, wherein program data 101 is stored in the computer-readable storage medium 100 .

[0113] Optionally, in one embodiment, when the program data 101 is executed by the processor, it is used to implement the following method: obtaining coordinate information of multiple location points, wherein the coordinate information of the multiple location points is obtained by detecting the location points corresponding to the photovoltaic power station; planning an inspection path according to the coordinate information of the multiple location points, and determining multiple collection points in the inspection path; performing inspections according to the inspection path, and performing image collection at each collection point; using the coordinate information corresponding to the collected images to establish a flight area point map, and detecting the situation of the photovoltaic power station in combination with the collected images.

[0114] Optionally, in another embodiment, when the program data 101 is executed by the processor, it is used to implement the following method: obtaining a photovoltaic power station layout map and a flight area point map, wherein the flight area point map includes multiple coordinate points, and the multiple coordinate points are determined by multiple collected images and corresponding coordinate information; converting the multiple coordinate points to the photovoltaic power station layout map; determining abnormal points based on the multiple images, and marking the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout map.

[0115] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical functional division. In actual implementation, other division methods may be used, such as combining or integrating multiple units or components into another system, or ignoring or not implementing certain features.

[0116] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of this embodiment.

[0117] In addition, each functional unit in each embodiment of the present application may be integrated into a processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The above-mentioned integrated units may be implemented in the form of hardware or software functional units.

[0118] The above description is only an implementation method of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made according to the contents of the description and drawings of this application, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A method for inspecting a photovoltaic power station, characterized in that: The method comprises: Acquire a photovoltaic power station layout diagram and a flight area point diagram, wherein the flight area point diagram includes a plurality of coordinate points, the plurality of coordinate points are determined by a plurality of collected images and corresponding coordinate information, and the coordinate information is the longitude and latitude of corresponding positions when the plurality of images are taken; Converting the plurality of coordinate points to the photovoltaic power station layout diagram; Determine abnormal points according to the multiple images, and mark photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout diagram; The converting the plurality of coordinate points to the photovoltaic power station layout diagram includes: Determining an inspection area on the photovoltaic power station layout diagram; Calculating the conversion relationship between the pixel value of the photovoltaic power station layout diagram and the coordinate value of the flight area point diagram; According to the conversion relationship, the plurality of coordinate points are converted to the inspection area of ​​the photovoltaic power station layout diagram; the conversion relationship between the pixel value of the photovoltaic power station layout diagram and the coordinate value of the flight area point diagram is calculated, including: Determine the pixel width and height of the inspection area, and determine the coordinate width and height of the flight area point map; The conversion relationship between the pixel unit and the coordinate unit is calculated according to the pixel width and height and the coordinate width and height.

2. The method according to claim 1, characterized in that: The converting the plurality of coordinate points to the inspection area of ​​the photovoltaic power station layout diagram according to the conversion relationship includes: Determining an origin in the photovoltaic power station layout diagram, and establishing a two-dimensional coordinate system according to the origin of the photovoltaic power station layout diagram; Calculating the coordinate distance between the coordinate point in the flight area point map and the origin; According to the conversion relationship, the coordinate distance is converted into a pixel distance; According to the pixel distance, a corresponding pixel point is determined in the photovoltaic power station layout diagram.

3. The method according to claim 1, characterized in that: The image is an infrared image, and the abnormal point is a hot spot in the infrared image; The determining of abnormal points according to the multiple images and marking the photovoltaic components corresponding to the abnormal points on the photovoltaic power station layout diagram includes: Determining a corresponding field of view area on the photovoltaic power station layout diagram according to the field of view range of the infrared image; According to the position of the hot spot in the infrared image, the coordinates corresponding to the hot spot in the field of view; According to the coordinates of the hot spot, the photovoltaic component corresponding to the hot spot is marked.

4. The method according to claim 3, characterized in that According to the position of the hot spot in the infrared image, the coordinates corresponding to the hot spot in the field of view include: Determine the coordinates of the marker points on the edge of the field of view; According to the position of the hot spot in the infrared image, the coordinates corresponding to the hot spot in the field of view are determined.

5. The method according to claim 3, characterized in that: The hot spots include common hot spots and severe hot spots; The step of marking the photovoltaic components corresponding to the hot spots comprises: According to the type of the hot spot, the corresponding photovoltaic component is marked with a corresponding color.

6. The method according to claim 1, characterized in that After determining the abnormal point according to the multiple images and marking the photovoltaic components corresponding to the abnormal point on the photovoltaic power station layout diagram, the method further includes: The photovoltaic components are classified according to the markings of the photovoltaic components on the photovoltaic power station layout diagram, and the number of photovoltaic components of each category is counted.

7. A photovoltaic power station inspection device, characterized in that: The inspection device includes a processor and a memory connected to the processor, wherein program data is stored in the memory, and the processor is used to execute the program data to implement the method according to any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program data, and when the program data is executed by a processor, it is used to implement the method according to any one of claims 1 to 6.

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