CN115035051A - Component segmentation method and device for photovoltaic power station, electronic equipment and storage medium - Google Patents
Component segmentation method and device for photovoltaic power station, electronic equipment and storage medium Download PDFInfo
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Abstract
The method comprises the steps of determining area coordinates of each photovoltaic power generation group plate in a photovoltaic power station from a power station elevation map of the photovoltaic power station after generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station; then cutting out corresponding photovoltaic power generation group plate images from a panoramic electronic map of the power station, and finally segmenting each photovoltaic power generation group plate image based on specification scale information of a photovoltaic module to obtain a module segmentation result of the photovoltaic power station, namely, the scheme provided by the application can accurately segment each photovoltaic power generation group plate image in the photovoltaic power station through the specification scale information of the photovoltaic module, so that the solving effects of the problems such as fault positioning, real-time monitoring of the running state of each module in the digital process of the power station, logic numbering maintenance of the power station module and the like are improved; in addition, the segmentation speed is high, a large number of resources are not occupied by deep learning, and the efficiency is higher.
Description
Technical Field
The invention relates to the technical field of new energy, in particular to a photovoltaic power station assembly segmentation method and device, electronic equipment and a storage medium.
Background
With the development and research of clean and renewable energy sources in various countries of the world, the solar energy industry develops rapidly. At present, the scale of the photovoltaic industry in China is continuously enlarged, and the development of the industry is generally good. With the development of the photovoltaic industry in China, the market capacity of the photovoltaic industry is expected to become the fastest-growing business in power station blocks in the future in years.
While component partitioning is one of the key steps to address many photovoltaic problems. Whether the component division is accurate or not can affect the solving effects of the problems such as fault positioning, real-time monitoring of the running state of each component in the digitization process of the power station, maintenance of the logic number of the component of the power station and the like, so how to realize accurate component division is a problem to be solved urgently in the field.
Disclosure of Invention
Therefore, the application provides a component segmentation method and device for a photovoltaic power station, an electronic device and a storage medium, which can accurately segment each photovoltaic power generation group plate image in the photovoltaic power station through the specification and scale information of the photovoltaic components, and improve the solving effects of the problems such as fault location, real-time monitoring of the running state of each component in the digitization process of the power station, maintenance of the logic number of the components of the power station and the like.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
the invention discloses a component segmentation method of a photovoltaic power station in a first aspect, which comprises the following steps:
generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station;
determining the area coordinates of each photovoltaic power generation group plate in the photovoltaic power station from the power station elevation map; the photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by sequentially arranging N photovoltaic modules, wherein N is a positive integer;
according to the area coordinates of the photovoltaic power generation group plates, respectively cutting corresponding photovoltaic power generation group plate images from the power station panoramic electronic map;
and segmenting each photovoltaic power generation group plate image based on the specification and scale information of the photovoltaic module to obtain a module segmentation result of the photovoltaic power station.
Optionally, in the above method for partitioning a module of a photovoltaic power station, after cutting out corresponding images of photovoltaic power generation panels from the panoramic electronic map of the power station according to the area coordinates of the photovoltaic power generation panels, the method further includes:
respectively detecting the regional boundary lines of the cut photovoltaic power generation group plate images to obtain the boundary line detection result of each photovoltaic power generation group plate image;
and adjusting the area coordinates corresponding to the photovoltaic power generation group plate images according to the area boundary line detection result.
Optionally, in the method for segmenting a module of a photovoltaic power station, after segmenting each photovoltaic power generation group plate image based on the specification and scale information of the photovoltaic module to obtain a module segmentation result of the photovoltaic power station, the method further includes:
acquiring a hot spot detection result of the photovoltaic power station;
and positioning the photovoltaic module generating the hot spots in the photovoltaic power station according to the hot spot detection result and the module segmentation result.
Optionally, in the above method for segmenting components of a photovoltaic power station, generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station includes:
respectively collecting images of all photovoltaic power generation group plates in the photovoltaic power station to obtain the image of each photovoltaic power generation group plate;
and processing the images of all the photovoltaic power generation group plates by using image processing software to obtain the power station panoramic electronic map and the power station elevation map.
Optionally, in the above method for partitioning a module of a photovoltaic power plant, determining, from the power plant elevation map, an area coordinate of each photovoltaic power generation group plate in the photovoltaic power plant includes:
determining an elevation threshold value according to the elevation information of the power station elevation map;
extracting the characteristics of each continuous area in the power station elevation map according to the elevation threshold value to obtain the area characteristics of each continuous area;
and determining each continuous area with the area characteristics according with the characteristics of the preset photovoltaic power generation group plates in the area characteristics of all the continuous areas, and respectively taking the area coordinates corresponding to each determined continuous area as the area coordinates of each photovoltaic power generation group plate.
Optionally, in the method for segmenting a component of a photovoltaic power station, segmenting each photovoltaic power generation group plate image based on the specification and scale information of the photovoltaic component to obtain a component segmentation result of the photovoltaic power station, the method includes:
determining the coordinates of an angular point UTM of each photovoltaic power generation group plate image;
and for each photovoltaic power generation group plate image, respectively carrying out segmentation according to the corresponding angular point UTM coordinate, the component height and the component width of the photovoltaic component to obtain a component segmentation result of the photovoltaic power station.
The second aspect of the present invention discloses a device for dividing a module of a photovoltaic power station, comprising:
the generating unit is used for generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station;
the determining unit is used for determining the area coordinates of each photovoltaic power generation group plate in the photovoltaic power station from the power station elevation map; the photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by sequentially arranging N photovoltaic modules, wherein N is a positive integer;
the cutting unit is used for respectively cutting out corresponding photovoltaic power generation group plate images from the power station panoramic electronic map according to the area coordinates of the photovoltaic power generation group plates;
and the division unit is used for dividing each photovoltaic power generation group plate image based on the specification scale information of the photovoltaic module to obtain a module division result of the photovoltaic power station.
Optionally, in the above assembly dividing apparatus for a photovoltaic power plant, the apparatus further includes:
the detection unit is used for respectively detecting the regional boundary lines of the cut photovoltaic power generation group plate images to obtain the boundary line detection result of each photovoltaic power generation group plate image;
and the adjusting unit is used for adjusting the area coordinates corresponding to the photovoltaic power generation panel images according to the detection result of the area boundary line.
Optionally, in the above module splitting device for a photovoltaic power plant, further comprising:
the acquisition unit is used for acquiring a hot spot detection result of the photovoltaic power station;
and the positioning unit is used for positioning the photovoltaic module generating the hot spot in the photovoltaic power station according to the hot spot detection result and the module segmentation result.
A third aspect of the invention discloses an electronic device comprising a processor and a memory; wherein:
the memory is to store computer instructions;
the processor is configured to execute the computer instructions stored in the memory, and in particular, to execute the method for component segmentation of a photovoltaic power plant as disclosed in any one of the first aspects.
A fourth aspect of the present invention discloses a storage medium for storing a program for implementing the method for component division of a photovoltaic power plant as disclosed in any one of the first aspects when the program is executed.
The invention provides a component segmentation method of a photovoltaic power station, which comprises the steps of determining the area coordinates of each photovoltaic power generation group plate in the photovoltaic power station from a power station elevation map of the photovoltaic power station after generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station; the photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by sequentially arranging N photovoltaic modules, wherein N is a positive integer; then cutting out corresponding photovoltaic power generation group plate images from a panoramic electronic map of the power station, and finally segmenting each photovoltaic power generation group plate image based on specification scale information of a photovoltaic module to obtain a module segmentation result of the photovoltaic power station, namely, the scheme provided by the application can accurately segment each photovoltaic power generation group plate image in the photovoltaic power station through the specification scale information of the photovoltaic module, so that the solving effects of the problems such as fault positioning, real-time monitoring of the running state of each module in the digital process of the power station, logic numbering maintenance of the power station module and the like are improved; moreover, the segmentation speed is high, a large amount of resources do not need to be occupied by deep learning, and the efficiency is higher.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a component segmentation method for a photovoltaic power plant according to an embodiment of the present disclosure;
FIG. 2 is a flow chart of generation of a power station panoramic electronic map and a power station elevation map according to an embodiment of the present disclosure;
fig. 3 is a power station visible light panoramic electronic map provided in an embodiment of the present application;
FIG. 4 is a visible elevation view of a power plant provided in an embodiment of the present application;
fig. 5 is a flowchart for acquiring area coordinates of a photovoltaic power generation panel according to an embodiment of the present disclosure;
FIG. 6 is an elevation map of a power plant at an elevation threshold provided by an embodiment of the present application;
FIG. 7 is a schematic illustration of component areas in an elevation view of a power plant provided by an embodiment of the present application;
fig. 8 is a schematic cut-out view of a photovoltaic power generation panel provided in an embodiment of the present application;
FIG. 9 is a block diagram of a block segmentation process for an image of a photovoltaic panel according to an embodiment of the present disclosure;
FIG. 10 is a schematic view illustrating a component division calculation of a photovoltaic panel according to an embodiment of the present disclosure;
fig. 11 is a diagram showing a result of dividing a photovoltaic panel according to an embodiment of the present disclosure;
FIGS. 12 and 13 are flow charts of two other methods for partitioning components of a photovoltaic power plant provided by embodiments of the present application;
FIG. 14 is an image of a visible light photovoltaic power generation panel with a garland and grass shelter according to an embodiment of the present application;
fig. 15 is an image of an infrared photovoltaic power generation panel with blurred lines of a line assembly according to an embodiment of the present application;
fig. 16 is a schematic structural diagram of a component separation device of a photovoltaic power plant according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the application provides a component segmentation method for a photovoltaic power station, which can accurately segment each photovoltaic power generation group plate image in the photovoltaic power station through specification and scale information of a photovoltaic component, and improves the solving effects of problems such as fault location, real-time monitoring of the running state of each component in the digitization process of the power station, maintenance of the logic number of the power station component and the like.
Referring to fig. 1, the method for partitioning the components of the photovoltaic power plant mainly includes the following steps:
s100, generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station.
In practical application, a specific manner for generating a power station panoramic electronic map and a power station elevation map of a photovoltaic power station can be as shown in fig. 2, and mainly comprises the following steps:
s200, respectively collecting images of all photovoltaic power generation group plates in the photovoltaic power station to obtain the image of each photovoltaic power generation group plate.
In practical application, the images of the photovoltaic power generation group plates can be obtained by polling the photovoltaic power station according to a preset collection path through preset collection equipment. The preset acquisition equipment can be an unmanned aerial vehicle or an aerial photography aircraft; of course, other existing devices with image capturing function may also be used, and the present application is not limited specifically, and all of them are within the scope of the present application.
Specifically, the preset collection path can be artificially made or obtained by intelligent planning through corresponding equipment according to the actual distribution characteristics of each photovoltaic power generation group plate in the photovoltaic power station and the distribution characteristics of the photovoltaic modules in the group.
Assuming that the preset acquisition equipment is an unmanned aerial vehicle, the unmanned aerial vehicle can carry out photovoltaic power station inspection according to a preset acquisition path, acquire images of each photovoltaic power generation group plate, and take the GPS geographic coordinate of each acquisition point as the GPS coordinate of the image center.
It should be noted that the image type of the image of the photovoltaic power generation panel may be a visible light image or an infrared light image; of course, other types of images may be used, which are determined according to specific application environments and user requirements, and all of which are within the protection scope of the present application.
S202, processing the images of all the photovoltaic power generation group plates by using image processing software to obtain a power station panoramic electronic map and a power station elevation map of the photovoltaic power station.
In practical application, images of all photovoltaic power generation group plates in a photovoltaic power station can be input into image processing software for processing, and a power station panoramic electronic map and a power station elevation map of the photovoltaic power station are generated.
The image processing software may be pix4dMapper or other image processing software capable of generating a power station panoramic electronic map and a power station ground elevation map, and the specific type of the image processing software is not specifically limited in the present application, and is within the protection scope of the present application.
Assuming that the image type of the photovoltaic power generation group plate is a visible light image, a power station panoramic electronic map of the photovoltaic power station generated by using pix4dMapper software can be shown in fig. 3, and a power station elevation map of the photovoltaic power station can be shown in fig. 4.
S102, determining the area coordinates of each photovoltaic power generation group plate in the photovoltaic power station from the power station high-level diagram.
The photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by arranging N photovoltaic modules in sequence, wherein N is a positive integer.
In practical application, the specific process of executing step S102 and determining the area coordinates of each photovoltaic power generation group plate in the photovoltaic power station from the power station high-level diagram can be as shown in fig. 5, and mainly includes the following steps:
s300, determining an elevation threshold value according to elevation information of the power station elevation map.
The method comprises the steps of setting an elevation threshold value of a power station elevation map according to elevation information of each photovoltaic power generation group plate in the photovoltaic power station in the power station elevation map, and accordingly obtaining the elevation threshold value capable of distinguishing object features and non-object features in the power station elevation map.
It should be noted that the specific value of the elevation threshold may be determined according to the application environment and the user requirement, and the present application is not particularly limited and is within the protection scope of the present application.
S302, extracting the characteristics of each continuous area in the power station elevation map according to the elevation threshold value to obtain the area characteristics of each continuous area.
In practical application, the elevation information of the power station elevation map can be adjusted to an elevation threshold value, and then the features of each continuous area in the power station elevation map are extracted to obtain the area features of each continuous area in the map. If the power station elevation map is an infrared power station elevation map, the power station elevation map adjusted to the elevation threshold value may be as shown in fig. 6.
S304, determining each continuous area with the area characteristics according with the characteristics of the preset photovoltaic power generation group plates in the area characteristics of all the continuous areas, and taking the area coordinates corresponding to each determined continuous area as the area coordinates of each photovoltaic power generation group plate.
Because the regional characteristics of the photovoltaic power generation group plates in the photovoltaic power station are different from those of other regions, each continuous region with the regional characteristics conforming to the preset photovoltaic power generation group plate characteristics can be determined according to the extracted regional characteristics of each continuous region, and therefore the assembly region in the power station elevation map is obtained. Wherein the component areas in the elevation map of the power plant may be as shown in FIG. 7.
In practical application, because the photovoltaic power generation group plate features are generally regular rectangles, each continuous area with the area features meeting the preset photovoltaic power generation group plate features can be determined by judging whether the area features of each continuous area in the power station elevation map are regular rectangles, and the area coordinates corresponding to each determined continuous area are used as the area coordinates of each photovoltaic power generation group plate.
And S104, respectively cutting out corresponding photovoltaic power generation group plate images from the power station panoramic electronic map according to the area coordinates of the photovoltaic power generation group plates.
In practical application, according to the area coordinate of each photovoltaic power generation group plate, the photovoltaic power generation group plate image corresponding to the area coordinate in the coordinate is cut out from the power station panoramic electronic map. The cut photovoltaic power generation panel image can be shown in fig. 8.
And S106, segmenting each photovoltaic power generation group plate image based on the specification scale information of the photovoltaic module to obtain a module segmentation result of the photovoltaic power station.
In practical application, the specific process of executing step S106 and segmenting each photovoltaic power generation group plate image based on the specification and scale information of the photovoltaic module to obtain the module segmentation result of the photovoltaic power station can be as shown in fig. 9, and mainly includes the following steps:
s400, determining the coordinates of the corner points UTM of each photovoltaic power generation group plate image.
In practical application, the angular point UTM coordinates of the photovoltaic power generation set plate image may be UTM coordinates corresponding to each angular point of the photovoltaic power generation set plate image. Each photovoltaic power generation group panel image generally includes: the coordinates of the upper left corner point UTM of the image, the coordinates of the upper right corner point UTM of the image, the coordinates of the lower left corner point UTM of the image, and the coordinates of the lower right corner point UTM of the image are also shown in fig. 10 and 11.
Generally, the angular point UTM coordinates of different photovoltaic power generation group plate images in a photovoltaic power station are different.
Specifically, according to the corner point coordinates of four corner points in the area coordinates of each photovoltaic power generation group plate, the corner point corresponding to the power station panoramic electronic map is found out from the power station panoramic electronic map, and then the UTM coordinate of each corresponding corner point is obtained, so that the corner point UTM coordinate of each photovoltaic power generation group plate image is determined.
S402, aiming at each photovoltaic power generation group plate image, segmenting according to the corresponding angular point UTM coordinate, the component height of the photovoltaic component and the component width, and obtaining a component segmentation result of the photovoltaic power station.
In practical application, the corresponding photovoltaic power generation group plate image can be automatically segmented according to the height and width of the photovoltaic module and the coordinates of the corner points UTM of each photovoltaic power generation group plate image, the photovoltaic power generation group plate image is segmented into M rows and N columns of grids, and each grid represents one photovoltaic module, that is, as shown in fig. 10.
Combining the coordinates of the corner points UTM shown in fig. 10 and 11, assuming that the height of the photovoltaic module is 1.5m and the width of the photovoltaic module is 1m, the height of the photovoltaic module is 1.5m
Based on the principle, the method for partitioning the components of the photovoltaic power station, provided by the embodiment of the application, comprises the steps of determining the area coordinates of each photovoltaic power generation group plate in the photovoltaic power station from a power station elevation map of the photovoltaic power station after generating the power station panoramic electronic map and the power station elevation map of the photovoltaic power station; the photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by sequentially arranging N photovoltaic modules, wherein N is a positive integer; then cutting out corresponding photovoltaic power generation group plate images from a panoramic electronic map of the power station, and finally segmenting each photovoltaic power generation group plate image based on specification scale information of a photovoltaic module to obtain a module segmentation result of the photovoltaic power station, namely, the scheme provided by the application can accurately segment each photovoltaic power generation group plate image in the photovoltaic power station through the specification scale information of the photovoltaic module, so that the solving effects of the problems such as fault positioning, real-time monitoring of the running state of each module in the digital process of the power station, logic numbering maintenance of the power station module and the like are improved; in addition, the segmentation speed is high, a large number of resources are not occupied by deep learning, and the efficiency is higher.
It should be noted that, in the existing method of segmenting the power station panoramic electronic map through machine learning, if the power station panoramic electronic map used for segmentation is a visible light image, line distortion, fracture and other flower pulling phenomena may occur in some local areas in the image, or a vegetation shielding component phenomenon exists, as shown in fig. 14; if the power station panoramic electronic map used for segmentation is an infrared image, the infrared image can have a fuzzy component line phenomenon if the solar irradiance is insufficient, as shown in fig. 15, the method for segmenting the components by using machine learning can be reduced in accuracy under the above conditions.
In practical application, because a certain calculation error exists in the process of a power station elevation map generated by image processing software such as pix4dMapper, and the like, a certain error also exists at the edge of an area of a photovoltaic power generation group board in the obtained power station elevation map, for this reason, in another embodiment of the present application, after step S104 is executed, and corresponding photovoltaic power generation group board images are respectively cut out from a power station panoramic electronic map according to the area coordinates of the photovoltaic power generation group board, please refer to fig. 12, which may further include the following steps:
and S500, respectively detecting the regional boundary lines of the cut photovoltaic power generation group plate images to obtain the boundary line detection result of each photovoltaic power generation group plate image.
The obtaining process of the detection result of the area boundary line of each photovoltaic group plate image is as follows:
a: and carrying out gray level processing and marginalization processing on the photovoltaic power generation group plate image in sequence to obtain an edge image of the photovoltaic power generation group plate image.
The algorithm used for the marginalization processing can be a Canny edge detection algorithm; of course, other existing marginalization algorithms can be used without limitation, and the present application is not limited to this algorithm, and all of them are within the scope of the present application.
B: and extracting the linear features in the edge image of the photovoltaic power generation group plate by utilizing Hough transform to obtain all the linear features in the edge image.
C: and determining four boundary lines of the photovoltaic power generation group plate image according to the distance between the straight lines in the edge image.
And S502, adjusting the area coordinates of the images corresponding to the photovoltaic power generation group plates according to the detection result of the area boundary line.
In practical application, pixel coordinates of corner points where every two boundary lines intersect can be calculated according to four boundary lines determined in the detection result of the regional boundary lines, and regional coordinates of images corresponding to photovoltaic power generation panels in the photovoltaic power station are adjusted according to the calculated pixel coordinates, so that the regional coordinates of the photovoltaic power generation panels in the photovoltaic power station are more accurate.
It should be noted that, in the process of adjusting the area coordinates of the corresponding photovoltaic power generation panel images according to the boundary line detection results, the area coordinates of the visible light photovoltaic power generation panel images are adjusted according to the boundary line area detection results of the visible light photovoltaic power generation panel images, or the area coordinates of the infrared light photovoltaic power generation panel images are adjusted according to the boundary line area detection results of the infrared light photovoltaic power generation panel images, and the area coordinates of the infrared light photovoltaic power generation panel images can also be adjusted according to the boundary line area detection results of the visible light photovoltaic power generation panel images; or adjusting the area coordinate of the visible light photovoltaic panel image according to the detection result of the boundary line area of the infrared light photovoltaic power generation panel image; the method is determined according to specific application environment and user requirements, and is within the protection scope of the application.
In the embodiment, the regional boundary line detection can be carried out on the photovoltaic power generation group plate images cut out from the power station panoramic electronic map so as to adjust the regional coordinates of the corresponding photovoltaic power generation group plate images, so that the subsequent components participating in the division of the photovoltaic power generation group plate images are closer to the actual situation, and the accuracy of the division of the components is further improved.
In the long-term use process of the photovoltaic module, the shielding objects such as birds, dust, leaves and the like can fall, so that the module forms a hot spot effect. While domestic photovoltaic power stations are generally built on large hillsides, gobi, plains, swamps, water areas, plant tops, residential roofs and the like, the scales, forms, distributions and the like of different photovoltaic power stations have great differences, so that a great deal of inconvenience is caused in the later operation and maintenance inspection process. Especially, the larger the scale of a photovoltaic power generation project is, the more complicated the routing inspection is.
At present, generally, an unmanned aerial vehicle carries an infrared camera device to collect infrared images of a photovoltaic module, and temperature distribution thermal imaging of a photovoltaic power generation group plate under different working states is analyzed to realize hot spot detection. However, the existing scheme can only detect whether the photovoltaic power generation group plate generates hot spots, cannot position the specific position of the component where the hot spots are located, and has high operation and maintenance difficulty.
In another embodiment provided by the present application, after performing step S106, and segmenting each photovoltaic power generation panel image based on the specification and scale information of the photovoltaic module to obtain a module segmentation result of the photovoltaic power plant, please refer to fig. 13, the module segmentation method of the photovoltaic power plant may further include the following steps:
s700, obtaining a hot spot detection result of the photovoltaic power station.
In practical application, a power station infrared light image of a photovoltaic power station can be obtained first, and then hot spot detection is carried out on the power station infrared light image to obtain a hot spot detection result of the photovoltaic power station; of course, the specific manner of obtaining the hot spot detection result of the photovoltaic power station can also be determined according to the specific application environment and the user requirement, and the method is not particularly limited and is within the protection scope of the method.
S702, positioning the photovoltaic module generating the hot spots in the photovoltaic power station according to the hot spot detection result and the module segmentation result.
In practical application, each photovoltaic power generation group plate generating hot spots in the photovoltaic power station can be determined according to hot spot detection results of the photovoltaic power station; and then, aiming at each hot spot generating photovoltaic power generation group plate, comparing the hot spot generating photovoltaic power generation group plate with the component segmentation result of the corresponding group plate, and positioning the photovoltaic component generating the hot spot in the photovoltaic power station according to the position of the hot spot in the hot spot generating photovoltaic power generation group plate.
It should be noted that, because the visible light image has smaller noise than the infrared light image and can clearly display the component area and the non-component area in the photovoltaic power station, the photovoltaic component generating hot spots in the photovoltaic power station is positioned according to the result of the visible light image segmentation, and the positioning result obtained according to the result of the infrared light image segmentation has higher precision, and the operation and maintenance efficiency can be further improved.
It should be further noted that, in a specific application process, after the photovoltaic module generating hot spots in the photovoltaic power station is positioned according to the infrared light image module segmentation result and the hot spot detection result, the photovoltaic module generating hot spots in the photovoltaic power station is repositioned according to the mapping relationship between the visible light photovoltaic image module segmentation result and the infrared light image module segmentation result, so that the hot spot photovoltaic module is positioned more accurately.
In the module segmentation method for the photovoltaic power station, the photovoltaic module which generates the hot spots in the photovoltaic power station can be positioned by combining the hot spot detection result of the photovoltaic power station after each photovoltaic power generation module board image is segmented based on the specification and scale information of the photovoltaic module to obtain the module segmentation result of the photovoltaic power station, so that the problems that in the prior art, whether the photovoltaic power generation module boards generate the hot spots can only be detected, the specific positions of the modules where the hot spots are located cannot be positioned, and the operation and maintenance difficulty is high are solved.
Based on the method for partitioning a module of a photovoltaic power plant provided in the foregoing embodiment, another embodiment of the present application further provides a device for partitioning a module of a photovoltaic power plant, please refer to fig. 16, where the device mainly includes:
the generating unit 100 is used for generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station.
The determining unit 102 is configured to determine, from the power station elevation map, an area coordinate of each photovoltaic power generation group board in the photovoltaic power station; the photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by arranging N photovoltaic modules in sequence, wherein N is a positive integer.
And the cutting-out unit 104 is used for respectively cutting out corresponding photovoltaic power generation group plate images from the power station panoramic electronic map according to the area coordinates of the photovoltaic power generation group plates.
And the dividing unit 106 is configured to divide each photovoltaic power generation group plate image based on the specification scale information of the photovoltaic module, so as to obtain a module division result of the photovoltaic power station.
Optionally, the generating unit 100 is specifically configured to:
respectively collecting images of all photovoltaic power generation group plates in the photovoltaic power station to obtain the image of each photovoltaic power generation group plate;
and processing the images of all the photovoltaic power generation group plates by using image processing software to obtain the power station panoramic electronic map and the power station elevation map.
Optionally, the determining unit 102 is specifically configured to:
and determining an elevation threshold value according to the elevation information of the elevation map of the power station.
And extracting the characteristics of each continuous area in the power station elevation map according to the elevation threshold value to obtain the area characteristics of each continuous area.
And determining each continuous area with the area characteristics conforming to the characteristics of the preset photovoltaic power generation group plates in the area characteristics of all the continuous areas, and taking the area coordinates corresponding to each determined continuous area as the area coordinates of each photovoltaic power generation group plate.
Optionally, the dividing unit 106 is specifically configured to:
and determining the coordinates of the angular point UTM of each photovoltaic power generation group plate image.
And aiming at each photovoltaic power generation group plate image, segmenting according to the corresponding angular point UTM coordinate, the component height and the component width of the photovoltaic component, and obtaining a component segmentation result of the photovoltaic power station.
Based on the component division device of the photovoltaic power station provided by the embodiment, the generation unit 100 can be used for generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station; the determining unit 102 is configured to determine, from the power station elevation map, an area coordinate of each photovoltaic power generation group board in the photovoltaic power station; the photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by sequentially arranging N photovoltaic modules, wherein N is a positive integer; the cutting unit 104 is configured to respectively cut out corresponding photovoltaic power generation group board images from the power station panoramic electronic map according to the area coordinates of the photovoltaic power generation group boards; the segmentation unit 106 is configured to segment each photovoltaic power generation group plate image based on specification scale information of the photovoltaic module to obtain a module segmentation result of the photovoltaic power station; the method has the advantages that the method can accurately divide the plate image of each photovoltaic power generation group in the photovoltaic power station through the specification and scale information of the photovoltaic modules, and improves the solving effects of problems such as fault positioning, real-time monitoring of the running state of each module in the digital process of the power station, maintenance of the logic number of the power station module and the like; moreover, the segmentation speed is high, a large amount of resources do not need to be occupied by deep learning, and the efficiency is higher.
Optionally, based on the device for splitting a component of a photovoltaic power station provided in the foregoing embodiment, the device for splitting a component of a photovoltaic power station provided in this embodiment further includes:
and the detection unit is used for respectively detecting the regional boundary lines of the cut photovoltaic power generation group plate images to obtain the boundary line detection result of each photovoltaic power generation group plate image.
And the adjusting unit is used for adjusting the area coordinates of the corresponding photovoltaic power generation group plate images according to the area boundary line detection result.
In this embodiment, can carry out regional boundary line detection to the photovoltaic power generation group board image of cutting out from power station panorama electronic map through the detecting element, then adjust the regional coordinate that corresponds photovoltaic power generation group board image through the adjusting element for follow-up participation subassembly is cut apart photovoltaic power generation group board image and is closer to actual conditions, has further improved the degree of accuracy that the subassembly was cut apart.
Optionally, based on the device for splitting a module of a photovoltaic power plant provided in the foregoing embodiment, the device for splitting a module of a photovoltaic power plant provided in this embodiment further includes:
and the acquisition unit is used for acquiring hot spot detection results of the photovoltaic power station.
And the positioning unit is used for positioning the photovoltaic module generating the hot spots in the photovoltaic power station according to the hot spot detection result and the module segmentation result.
In this embodiment, the hot spot detection result of the photovoltaic power station can be obtained through the acquisition unit, and then the photovoltaic module which generates the hot spot in the photovoltaic power station is positioned by combining the hot spot detection result and the module segmentation result of the photovoltaic power station through the positioning unit, so that the problems that in the prior art, whether the hot spot is generated on a photovoltaic power generation group plate can only be detected, the specific position of the module where the hot spot is located cannot be positioned, and the operation and maintenance difficulty is large are solved.
Optionally, another embodiment of the present application further provides an electronic device, including: a processor and a memory, wherein:
the memory is to store computer instructions;
the processor is configured to execute the computer instructions stored in the memory, and in particular, to execute the component division method of the photovoltaic power plant according to any of the embodiments.
It should be noted that, for the relevant description of the component division method of the photovoltaic power station, reference may be made to the embodiments corresponding to fig. 1 to fig. 15, and details are not described herein again.
Optionally, another embodiment of the present application further provides a storage medium for storing a program, where the program is used to implement the component division method for a photovoltaic power plant according to any one of the above embodiments when executed.
It should be noted that, for the relevant description of the component division method of the photovoltaic power plant, reference may be made to the embodiments corresponding to fig. 1 to fig. 15, and details are not described herein again.
Features described in the embodiments in the present specification may be replaced with or combined with each other, and the same and similar portions among the embodiments may be referred to each other, and each embodiment is described with emphasis on differences from other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Claims (11)
1. A method for partitioning a module of a photovoltaic power plant, comprising:
generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station;
determining the area coordinates of each photovoltaic power generation group plate in the photovoltaic power station from the power station elevation map; the photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by arranging N photovoltaic modules in sequence, wherein N is a positive integer;
according to the area coordinates of the photovoltaic power generation group plates, respectively cutting corresponding photovoltaic power generation group plate images from the power station panoramic electronic map;
and segmenting each photovoltaic power generation group plate image based on the specification and scale information of the photovoltaic module to obtain a module segmentation result of the photovoltaic power station.
2. The method for partitioning components of a photovoltaic power plant according to claim 1, wherein after the corresponding photovoltaic power generation panel images are respectively cut out from the power plant panoramic electronic map according to the area coordinates of the photovoltaic power generation panel, the method further comprises:
respectively detecting the regional boundary lines of the cut photovoltaic power generation group plate images to obtain the boundary line detection result of each photovoltaic power generation group plate image;
and adjusting the area coordinates corresponding to the photovoltaic power generation group plate images according to the area boundary line detection result.
3. The method of claim 1, wherein after the step of segmenting each photovoltaic power generation panel image based on the specification and dimension information of the photovoltaic module to obtain the module segmentation result of the photovoltaic power station, the method further comprises:
acquiring a hot spot detection result of the photovoltaic power station;
and positioning the photovoltaic module generating the hot spots in the photovoltaic power station according to the hot spot detection result and the module segmentation result.
4. The method of component segmentation for photovoltaic power plants according to claim 1, characterized in that generating a plant panoramic electronic map and a plant elevation map for the photovoltaic power plant comprises:
respectively collecting images of all photovoltaic power generation group plates in the photovoltaic power station to obtain the image of each photovoltaic power generation group plate;
and processing the images of all the photovoltaic power generation group plates by using image processing software to obtain the power station panoramic electronic map and the power station elevation map.
5. The method of component partitioning for a photovoltaic power plant of claim 1, wherein determining from the plant elevation map the area coordinates for each photovoltaic power generation panel in the photovoltaic power plant comprises:
determining an elevation threshold value according to the elevation information of the power station elevation map;
extracting the characteristics of each continuous area in the power station elevation map according to the elevation threshold value to obtain the area characteristics of each continuous area;
and determining each continuous area with the area characteristics conforming to the characteristics of the preset photovoltaic power generation group plates in the area characteristics of all the continuous areas, and taking the area coordinates corresponding to each determined continuous area as the area coordinates of each photovoltaic power generation group plate.
6. The method for segmenting the components of the photovoltaic power plant according to claim 1, wherein the segmenting of each photovoltaic power generation group plate image based on the specification and dimension information of the photovoltaic component to obtain the component segmentation result of the photovoltaic power plant comprises:
determining an angular point UTM coordinate of each photovoltaic power generation group plate image;
and aiming at each photovoltaic power generation group plate image, respectively carrying out segmentation according to the corresponding angular point UTM coordinate, the component height and the component width of the photovoltaic component to obtain a component segmentation result of the photovoltaic power station.
7. A device for separating photovoltaic power station components, comprising:
the generating unit is used for generating a power station panoramic electronic map and a power station elevation map of the photovoltaic power station;
the determining unit is used for determining the area coordinates of each photovoltaic power generation group plate in the photovoltaic power station from the power station elevation map; the photovoltaic power station comprises at least one photovoltaic power generation group plate; each photovoltaic power generation group plate is formed by sequentially arranging N photovoltaic modules, wherein N is a positive integer;
the cutting-out unit is used for respectively cutting out corresponding photovoltaic power generation group plate images from the power station panoramic electronic map according to the area coordinates of the photovoltaic power generation group plates;
and the division unit is used for dividing each photovoltaic power generation group plate image based on the specification and scale information of the photovoltaic module to obtain a module division result of the photovoltaic power station.
8. The component separation apparatus of a photovoltaic power plant of claim 7 further comprising:
the detection unit is used for respectively detecting the regional boundary lines of the cut photovoltaic power generation group plate images to obtain the boundary line detection result of each photovoltaic power generation group plate image;
and the adjusting unit is used for adjusting the area coordinates corresponding to the photovoltaic power generation group plate images according to the area boundary line detection result.
9. The component separation apparatus of a photovoltaic power plant of claim 7 further comprising:
the acquisition unit is used for acquiring hot spot detection results of the photovoltaic power station;
and the positioning unit is used for positioning the photovoltaic module generating the hot spot in the photovoltaic power station according to the hot spot detection result and the module segmentation result.
10. An electronic device comprising a processor and a memory; wherein:
the memory is to store computer instructions;
the processor is configured to execute the computer instructions stored by the memory, in particular to perform the method of component segmentation for a photovoltaic power plant according to any one of claims 1 to 6.
11. A storage medium characterized by storing a program which, when executed, is adapted to implement the method of component segmentation for a photovoltaic power plant of any one of claims 1 to 6.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117252925A (en) * | 2023-10-08 | 2023-12-19 | 中节能（新泰）太阳能科技有限公司 | Photovoltaic power station obstacle positioning method based on aerial photography technology |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180082166A (en) * | 2017-01-10 | 2018-07-18 | 한화에어로스페이스 주식회사 | The Apparatus For Detecting Solar Panel |
| CN109308685A (en) * | 2018-08-09 | 2019-02-05 | 南京邮电大学 | Infrared photovoltaic array dividing method based on Threshold segmentation and K mean cluster |
| CN111047564A (en) * | 2019-11-28 | 2020-04-21 | 戎得(上海)光伏科技有限公司 | EL defect detection method applied to photovoltaic power station site |
| CN111062991A (en) * | 2019-12-27 | 2020-04-24 | 西安因诺航空科技有限公司 | Method and device for positioning inspection target of photovoltaic scene and readable storage medium |
| CN112862777A (en) * | 2021-02-03 | 2021-05-28 | 国家电投集团江西电力有限公司 | Photovoltaic power station assembly defect inspection system and defect processing method thereof |
| CN114140421A (en) * | 2021-11-26 | 2022-03-04 | 合肥阳光智维科技有限公司 | Fault positioning method and device of photovoltaic module and storage medium |
| CN114187260A (en) * | 2021-12-10 | 2022-03-15 | 江苏格林保尔新能源有限公司 | Photovoltaic module defect detection method and system |
-
2022
- 2022-05-25 CN CN202210573522.5A patent/CN115035051A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20180082166A (en) * | 2017-01-10 | 2018-07-18 | 한화에어로스페이스 주식회사 | The Apparatus For Detecting Solar Panel |
| CN109308685A (en) * | 2018-08-09 | 2019-02-05 | 南京邮电大学 | Infrared photovoltaic array dividing method based on Threshold segmentation and K mean cluster |
| CN111047564A (en) * | 2019-11-28 | 2020-04-21 | 戎得(上海)光伏科技有限公司 | EL defect detection method applied to photovoltaic power station site |
| CN111062991A (en) * | 2019-12-27 | 2020-04-24 | 西安因诺航空科技有限公司 | Method and device for positioning inspection target of photovoltaic scene and readable storage medium |
| CN112862777A (en) * | 2021-02-03 | 2021-05-28 | 国家电投集团江西电力有限公司 | Photovoltaic power station assembly defect inspection system and defect processing method thereof |
| CN114140421A (en) * | 2021-11-26 | 2022-03-04 | 合肥阳光智维科技有限公司 | Fault positioning method and device of photovoltaic module and storage medium |
| CN114187260A (en) * | 2021-12-10 | 2022-03-15 | 江苏格林保尔新能源有限公司 | Photovoltaic module defect detection method and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117252925A (en) * | 2023-10-08 | 2023-12-19 | 中节能（新泰）太阳能科技有限公司 | Photovoltaic power station obstacle positioning method based on aerial photography technology |
| CN117252925B (en) * | 2023-10-08 | 2024-05-24 | 中节能（新泰）太阳能科技有限公司 | Photovoltaic power station obstacle positioning method based on aerial photography technology |
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