CN115131586A - Method, system and medium for determining missed shot region of photovoltaic power station - Google Patents

Method, system and medium for determining missed shot region of photovoltaic power station Download PDF

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Publication number
CN115131586A
CN115131586A CN202210810488.9A CN202210810488A CN115131586A CN 115131586 A CN115131586 A CN 115131586A CN 202210810488 A CN202210810488 A CN 202210810488A CN 115131586 A CN115131586 A CN 115131586A
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photovoltaic power
power station
missed
determining
cad
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肖平
陈雄飞
彭文博
赵东明
田鸿翔
王晓龙
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Huaneng Clean Energy Research Institute
Huaneng Renewables Corp Ltd
Huaneng Dali Wind Power Co Ltd Eryuan Branch
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Huaneng Clean Energy Research Institute
Huaneng Renewables Corp Ltd
Huaneng Dali Wind Power Co Ltd Eryuan Branch
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Priority to CN202210810488.9A priority Critical patent/CN115131586A/en
Publication of CN115131586A publication Critical patent/CN115131586A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/759Region-based matching
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S10/00PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02S50/10Testing of PV devices, e.g. of PV modules or single PV cells

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Abstract

The application provides a method, a system and a medium for determining a missed shot region of a photovoltaic power station, wherein the method comprises the following steps: receiving image data of the photovoltaic power station acquired by the unmanned aerial vehicle according to the initial routing inspection path; obtaining a Computer Aided Design (CAD) drawing of a photovoltaic power station; comparing the image data of the photovoltaic power station with a CAD drawing of the photovoltaic power station to determine a missed shot region of the photovoltaic power station; and updating the initial routing inspection path according to the missed shot region of the photovoltaic power station. The method improves the efficiency and convenience for determining the missed-beat region of the photovoltaic power station, and is beneficial to more comprehensively inspecting the photovoltaic power station.

Description

Method, system and medium for determining missed shot region of photovoltaic power station
Technical Field
The application relates to the technical field of photovoltaic power generation, in particular to a method, a system and a medium for determining a missed shot region of a photovoltaic power station.
Background
Along with the gradual increase of the popularization rate of solar photovoltaic power generation, the operation and maintenance of the photovoltaic power station are carried out, and the attention of people is attracted more and more to ensure the normal and safe operation of the photovoltaic power station. Wherein, photovoltaic power plant need adopt unmanned aerial vehicle to fly according to patrolling and examining the route in the use, and the data of each photovoltaic group cluster in the photovoltaic power plant is gathered to the equipment that carries on through unmanned aerial vehicle, then identifies the defect that the diagnosis photovoltaic power plant appears according to the data of gathering, for example, hot spot defect, open a way defect and diode defect etc..
And gather the in-process that the image was patrolled and examined at unmanned aerial vehicle, the phenomenon that the photovoltaic power plant missed the bat appears easily, and the photovoltaic group cluster of specific position department is not gathered by unmanned aerial vehicle promptly, consequently, need confirm the area that misses the bat of photovoltaic power plant. In the related art, a manual on-site examination mode is usually adopted, related personnel need to walk to a field of a photovoltaic station, and collected group strings are compared with actually installed group strings in the field, so that a missed shot area of the photovoltaic station is determined. The method has low checking efficiency, occupies human resources, and is easy to cause errors in manual checking.
Disclosure of Invention
The present application is directed to solving, at least to some extent, one of the technical problems in the related art.
Therefore, the first objective of the present application is to provide a method for determining a missed shot region of a photovoltaic power station, which solves the technical problems in the related art that when a missed shot occurs in the photovoltaic power station, a missed shot group string needs to be determined by manual field inspection, and the inspection efficiency is low.
The second purpose of the application is to provide a system for determining a missed shot region of a photovoltaic power station;
a third object of the present application is to propose a non-transitory computer-readable storage medium.
In order to achieve the above object, a first embodiment of the present application is directed to a method for determining a missed-shot region of a photovoltaic power plant, including:
receiving image data of the photovoltaic power station acquired by the unmanned aerial vehicle according to the initial routing inspection path;
obtaining a Computer Aided Design (CAD) drawing of the photovoltaic power station;
comparing the image data of the photovoltaic power station with a CAD drawing of the photovoltaic power station to determine a missed shot region of the photovoltaic power station;
and updating the initial routing inspection path according to the missed-beat region of the photovoltaic power station.
Optionally, in an embodiment of the present application, comparing the image data of the photovoltaic power station with a CAD drawing of the photovoltaic power station, and determining a missed shot region of the photovoltaic power station includes: determining a group string acquired by the current inspection from the image data of the photovoltaic power station; analyzing the CAD electronic drawing of the photovoltaic power station to obtain a standard group string in the CAD electronic drawing; and comparing the group strings acquired by the current inspection with the standard group strings in the CAD electronic drawing to generate a missed shot region of the photovoltaic power station.
Optionally, in an embodiment of the present application, parsing the CAD electronic drawing of the photovoltaic power station to obtain the standard group string in the CAD electronic drawing includes: converting the CAD drawing of the photovoltaic power station into a file in a DXF format under the condition that the CAD drawing of the photovoltaic power station is in a DWG format; obtaining data for the standard set of strings based on the DXF formatted file.
Optionally, in an embodiment of the present application, updating the initial routing inspection path according to a missed-shot region of the photovoltaic power station includes: according to the missed cluster in the missed cluster area, a cluster graph in a photovoltaic power station model is subjected to completion processing; and regenerating the routing inspection path of the photovoltaic power station according to the supplemented string diagram.
Optionally, in an embodiment of the present application, after the updating the initial routing inspection path according to the missed-shoot area of the photovoltaic power station, the method further includes: determining an invalid shooting area and an inefficient shooting area according to the image data of the photovoltaic power station; and adjusting the updated initial patrol path according to the invalid shooting area and the inefficient shooting area.
In order to achieve the above object, a second aspect of the present application provides a system for determining a missed-shot region of a photovoltaic power station, including the following modules:
the receiving module is used for receiving image data of the photovoltaic power station, which are acquired by the unmanned aerial vehicle according to the initial routing inspection path;
the acquisition module is used for acquiring a Computer Aided Design (CAD) drawing of the photovoltaic power station;
the determining module is used for comparing the image data of the photovoltaic power station with the CAD drawing of the photovoltaic power station and determining a missed shot area of the photovoltaic power station;
and the updating module is used for updating the initial routing inspection path according to the missed area of the photovoltaic power station.
Optionally, in an embodiment of the present application, the determining module is specifically configured to: determining a group string acquired by the current patrol from the image data of the photovoltaic power station; analyzing the CAD electronic drawing of the photovoltaic power station to obtain a standard group string in the CAD electronic drawing; and comparing the group strings acquired by the current inspection with the standard group strings in the CAD electronic drawing to generate a missed shot region of the photovoltaic power station.
Optionally, in an embodiment of the present application, the determining module is further configured to: converting the CAD drawing of the photovoltaic power station into a file in a DXF format under the condition that the CAD drawing of the photovoltaic power station is in a DWG format; obtaining data for the standard set of strings based on the DXF formatted file.
Optionally, in an embodiment of the present application, the update module is specifically configured to: according to the missed cluster in the missed shot region, a cluster diagram in a photovoltaic power station model is subjected to filling processing; and regenerating the routing inspection path of the photovoltaic power station according to the supplemented string diagram.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects: the method includes the steps that a photovoltaic power station image collected by an unmanned aerial vehicle according to an initial routing inspection path is received; obtaining a CAD electronic drawing of the photovoltaic power station; comparing the photovoltaic power station image with a CAD electronic drawing to generate a missed shot region of the photovoltaic power station; and updating the initial routing inspection path according to the missed shot region of the photovoltaic power station. From this, the scheme of this application need not constructor and walks to and investigate on the spot, only need compare the image that unmanned aerial vehicle gathered with the CAD drawing and can confirm photovoltaic power plant area of missing clapping, has improved the confirmed convenience and the intellectuality in photovoltaic power plant area of missing clapping, has reduced the cost of labor, improves the efficiency of confirming photovoltaic power plant area of missing clapping. And, patrol and examine according to the route of patrolling and examining after the update through controlling unmanned aerial vehicle, can guarantee to carry out comprehensive patrolling and examining to photovoltaic power plant, avoid taking place to miss and clap, improved unmanned aerial vehicle and patrolled and examined comprehensive and reliability.
In order to implement the foregoing embodiments, an embodiment of the third aspect of the present application further provides a non-transitory computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method for determining a missed-shot region of a photovoltaic power plant in the foregoing embodiments.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a method for determining a missed shot region of a photovoltaic power station according to an embodiment of the present application;
fig. 2 is a flowchart of a specific method for determining a missed shot region based on comparison between image data of a photovoltaic power station and a CAD drawing, which is provided in an embodiment of the present application;
fig. 3 is a schematic flowchart of a specific method for updating an initial routing inspection path according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a system for determining a missed shot region of a photovoltaic power station according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The following describes a method and a system for determining a missed shot region of a photovoltaic power station, which are provided by the embodiment of the invention, with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for determining a missed-shoot area of a photovoltaic power plant according to an embodiment of the present application, where as shown in fig. 1, the method includes the following steps:
and S101, receiving image data of the photovoltaic power station, which is acquired by the unmanned aerial vehicle according to the initial routing inspection path.
The execution subject of the processing method of the method for determining the missed shot area of the photovoltaic power station is the server. The data processing method of the embodiment of the application can be executed by the determining system of the missed-beat region of the photovoltaic power station of the embodiment of the application, and the determining system of the missed-beat region of the photovoltaic power station of the embodiment of the application can be configured in the server of the embodiment of the application to execute the missed-beat region determining method. The server in the embodiment of the application can be any server capable of interacting with the client of the unmanned aerial vehicle and processing related data, for example, the server can be a server in a ground station of a photovoltaic power station.
The image data of the photovoltaic power station comprises a shot photo image of the photovoltaic power station or collected point cloud data and the like.
In this application embodiment, communication connection is established with unmanned aerial vehicle to the server, and unmanned aerial vehicle's flight control module is patrolled and examined the route after receiving the initial of server generation, patrols and examines the route according to the initial and flies, gathers photovoltaic power plant's image data at the flight in-process. When image data are collected specifically, images of the photovoltaic power station can be shot through camera equipment such as a visible light camera and an infrared camera which are carried on the unmanned aerial vehicle in advance, and point cloud data of the photovoltaic power station can also be collected through a laser radar of the unmanned aerial vehicle. Furthermore, the server receives the image data of the photovoltaic power station uploaded by the unmanned aerial vehicle according to communication connection
It should be further explained that, in an embodiment of the present application, a plurality of types of camera devices can be set on the unmanned aerial vehicle in advance, the photovoltaic power station is shot from different angles through the plurality of camera devices, a plurality of image data are acquired, and the point cloud data of the photovoltaic power station is collected by combining the laser radar. Therefore, the image data of the photovoltaic power station can be acquired in a plurality of modes, and the corresponding image acquisition mode is selected according to actual factors such as weather conditions, so that the method and the device are suitable for image acquisition requirements in different application scenes.
And S102, obtaining a CAD drawing of the photovoltaic power station.
The CAD electronic drawing paper can be a CAD electronic drawing paper which is designed by designers of the photovoltaic power station and used for construction, the CAD electronic drawing paper can be files in multiple formats such as DWG (drawing weight generation), and the CAD electronic drawing paper comprises various devices in the photovoltaic power station, for example, various photovoltaic group strings installed in the photovoltaic power station. It should be noted that the photovoltaic string included in the CAD electronic drawing is a standard string, that is, a string actually existing in the photovoltaic power station.
The photovoltaic group string is a unit which is formed by connecting a plurality of photovoltaic components in series and has a voltage output function, and comprises components, a strip-shaped foundation, a cylindrical foundation, photovoltaic components and a support thereof.
Specifically, the pre-stored CAD drawing of the photovoltaic power station can be directly called from the database of the server.
And S103, comparing the image data of the photovoltaic power station with the CAD drawing of the photovoltaic power station, and determining a missed shot region of the photovoltaic power station.
Specifically, the photovoltaic string can be used as a comparison object, and the photovoltaic power station image is compared with the CAD electronic drawing to generate a missed shot region of the photovoltaic power station. And if the comparison shows that the photovoltaic group strings of the CAD electronic image at a certain specific position are absent in the image data of the photovoltaic power station acquired by the unmanned aerial vehicle, determining that the missed shot region exists in the photovoltaic power station image acquired according to the initial routing inspection path. And further, determining specific coordinates of a missed shot region in the photovoltaic power station according to the specific position lacking the photovoltaic string.
In order to more clearly illustrate a specific implementation manner of determining a missed shot region of a photovoltaic power station by comparison, an embodiment of the present invention further provides an exemplary description of a method for determining a missed shot region based on comparison, and fig. 2 is a flowchart of a specific method for determining a missed shot region based on comparison of image data of a photovoltaic power station and a CAD drawing, which is provided by the embodiment of the present invention, and as shown in fig. 2, the method includes the following steps:
step S201, determining the group string collected in the current inspection from the image data of the photovoltaic power station.
Specifically, the photovoltaic group string may be determined from the acquired image data of the photovoltaic power station by using an image segmentation technique. The image of the photovoltaic power station is divided into a plurality of non-overlapping sub-regions through image segmentation, so that the features in the same sub-region have certain similarity, and the features of different sub-regions are obviously different. Then, the area where the photovoltaic group string is located is divided, and interference images except the photovoltaic group string in the image of the photovoltaic power station are screened out, for example, background images of the group string and other surrounding equipment are screened out, so that the subsequent comparison with the standard group string in the CAD electronic drawing is more direct. In particular, the segmentation may be performed by a segmentation method such as edge detection.
And S202, analyzing the CAD electronic drawing of the photovoltaic power station to obtain a standard group string in the CAD electronic drawing.
Specifically, the CAD electronic drawing is analyzed, and the standard group string drawn in the drawing is determined according to the drawing rule of the CAD drawing. It should be noted that, because the CAD file is structured electronic data, the standard group string can be directly and quickly obtained from the electronic data by analyzing the CAD file, and compared with an image recognition technology, the standard group string can be more conveniently obtained.
In an embodiment of the present application, parsing a CAD electronic drawing of a photovoltaic power station to obtain a standard string in the CAD electronic drawing includes: converting the CAD drawing of the photovoltaic power station into a file in a DXF format under the condition that the CAD drawing of the photovoltaic power station is in a DWG format; the data for the standard group string is obtained based on the file in the DXF format.
Specifically, if the obtained CAD electronic drawing of the photovoltaic power station is a dwg format file, the dwg format file is converted into a dxf file, and then the dxf file is analyzed. The dxf file is in a CAD data file format used for CAD data exchange between AutoCAD and other software, is in an open-source CAD data file format, and has better readability compared with a proprietary file format dwg, so that the dxf file can be analyzed more quickly to obtain data inside the file.
And step S203, comparing the group strings acquired by the current inspection with the standard group strings in the CAD electronic drawing to generate a missed shot region of the photovoltaic power station.
Specifically, the group strings acquired by the current patrol, which are determined by image segmentation, are compared with the standard group strings in the CAD electronic drawing, and if one or more of the standard group strings in the CAD electronic drawing are absent in the group strings acquired by the current patrol, a missed shot region is determined. And then, determining specific coordinates of the missed shot region in the photovoltaic power station according to the position coordinates of the missing photovoltaic group strings, wherein the position coordinates of the missing photovoltaic group strings can be determined according to the information in the CAD drawing because the data information of the standard group strings in the CAD electronic drawing is determined.
For example, if photovoltaic string strings of the CAD electronic image at a specific position is absent, the coordinate of the photovoltaic string is taken as the center coordinate of the missed shot region, the corresponding range is taken as the missed shot region by taking the center coordinate as the center, and if photovoltaic string strings of the CAD electronic image at a plurality of specific positions is absent, the missed shot region is determined by integrating the coordinates of the plurality of photovoltaic string, and the missed shot region is determined to cover the plurality of absent photovoltaic string.
It should be noted that, in an embodiment of the present application, other files including the standard string may also be obtained and compared with the acquired image data of the photovoltaic power station, for example, an acceptance file generated by the photovoltaic power station in a system acceptance link is obtained, a photovoltaic string actually installed and recorded in the acceptance file is obtained, and then compared with the string acquired by the current inspection. As described above, since the CAD file can obtain the standard string from the electronic data more directly and quickly than other types of files, the CAD drawing of the photovoltaic power station is preferably used for comparison in the embodiment of the present application, however, in practical applications, the corresponding file including the standard string may be selected according to practical conditions for comparison, so as to ensure the performability and applicability of the determination method for the missed shot region of the photovoltaic power station in the present application.
And step S104, updating the initial routing inspection path according to the missed-beat region of the photovoltaic power station.
Specifically, the initial routing inspection path is updated according to the missed-shot region of the photovoltaic power station, namely, a new routing inspection path is generated according to the missed-shot region, and the newly generated routing inspection path is ensured to cover the position of the missed-shot photovoltaic string. And then, the unmanned aerial vehicle can be controlled to patrol the photovoltaic power station again according to the new patrol path.
In order to more clearly illustrate a specific implementation manner of updating the initial routing inspection path according to the missed-shot region of the photovoltaic power station, a specific updating method of the initial routing inspection path is further provided in an embodiment of the present application for exemplary illustration, and fig. 3 is a flowchart of the specific updating method of the initial routing inspection path provided in the embodiment of the present application, and as shown in fig. 3, the method includes the following steps:
and S301, performing filling processing on the string graph in the photovoltaic power station model according to the missed string in the missed shot region.
The photovoltaic power station model can be a digital model which is established in the server and used for carrying out operation and maintenance processing such as routing inspection on the photovoltaic power station, actual information of the photovoltaic power station can be represented through the photovoltaic power station model, for example, a group string in the photovoltaic power station model represents a group string actually installed in the photovoltaic power station, and relevant parameter generation instructions in the photovoltaic power station model can be used for carrying out processing such as routing inspection on the photovoltaic power station.
Specifically, through comparison, if the string at the specific position of the CAD electronic drawing is determined not to appear in the photovoltaic image, the area where the string at the specific position is determined to be a missed shot area, and the string graph in the photovoltaic power station model is supplemented according to the string in the missed shot area, wherein the photovoltaic string is supplemented at the corresponding position in the string graph according to the position of the missed shot string, so that the string graph corresponds to the actual standard string.
And step S302, regenerating the routing inspection path of the photovoltaic power station according to the supplemented string diagram.
Specifically, the routing inspection path of the photovoltaic power station is re-planned according to the supplemented string diagram, and the fact that the new routing inspection path of the photovoltaic power station covers the area where all photovoltaic strings are located is guaranteed.
Because this application is mended to the group cluster picture in the power station model, then according to the group cluster picture regeneration photovoltaic power station of mending after the whole route of patrolling and examining, unmanned aerial vehicle patrols and examines the route according to the photovoltaic power station of mending after the whole and gathers the image again and can not take place to leak and clap, has consequently realized that photovoltaic power station patrols and examines the effect of not omitting comprehensively.
In order to further improve the rationality that the route was formulated patrolled and examined, reduce the invalid flight of unmanned aerial vehicle, in this application embodiment, after the route is patrolled and examined to the beginning according to photovoltaic power plant's missed measure district and is updated, still include: and determining an invalid shooting area and an inefficient shooting area according to the image data of the photovoltaic power station, and adjusting the updated initial routing inspection path according to the invalid shooting area and the inefficient shooting area.
Specifically, each piece of image data acquired by the unmanned aerial vehicle is sequentially analyzed, an image in which a photovoltaic group string is not shot, only partial components in the photovoltaic group string are shot, and only a small number of images of the photovoltaic group string are shot in all images of the photovoltaic power station are determined, and an invalid shooting area and an inefficient shooting area in an initial routing inspection path are determined according to the images. Furthermore, after the initial routing inspection path is updated according to the missed shooting area of the photovoltaic power station, the newly generated routing inspection path can be adjusted according to the invalid shooting area and the inefficient shooting area, invalid flight of the unmanned aerial vehicle is reduced, and the unmanned aerial vehicle can shoot more complete and richer images under the condition of flying a shorter distance. Thereby reduce the cost that unmanned aerial vehicle patrolled and examined, improve validity and the economic nature of unmanned aerial vehicle flight.
It should be noted that, because this application is after going on updating the initial route of patrolling and examining according to the missed measure district of photovoltaic power plant, again according to invalid shooting region and the regional regulation of low efficiency shooting, avoid adjusting the region of group cluster of shooing of failing of confirming in the adjustment process to on the basis of guaranteeing that the route of patrolling and examining of photovoltaic power plant after the completion reacquires the image and can not take place to miss the shoot, the rethread adjustment improves the validity that unmanned aerial vehicle flies.
To sum up, according to the intelligent surveying method for the photovoltaic power station infrastructure progress, the point cloud image of the photovoltaic power station is obtained through the laser radar of the unmanned aerial vehicle, the point cloud image of the photovoltaic string is screened out from the point cloud image of the photovoltaic power station, the CAD drawing of the photovoltaic power station is obtained, and finally the infrastructure progress of the photovoltaic power station is generated based on the point cloud image of the photovoltaic string and the CAD drawing of the photovoltaic power station. Therefore, according to the method, construction progress surveying is conducted by comparing construction drawings without walking to the real ground by a constructor, and the infrastructure progress of the photovoltaic power station can be obtained only by controlling the unmanned aerial vehicle to fly above the photovoltaic power station under construction to collect point cloud images and then comparing the point cloud images with the CAD drawings, so that convenience and intelligence of the photovoltaic power station infrastructure surveying are improved, labor cost is reduced, and efficiency of the photovoltaic power station infrastructure surveying is improved.
In order to implement the foregoing embodiment, the present application further provides a system for determining a missed-shot region of a photovoltaic power station, and fig. 4 is a schematic structural diagram of the system for determining a missed-shot region of a photovoltaic power station, which is provided in the embodiment of the present application, and as shown in fig. 4, the system includes a receiving module 100, an obtaining module 200, a determining module 300, and an updating module 400.
Wherein, receiving module 100 is used for receiving the image data of the photovoltaic power station that unmanned aerial vehicle gathered according to the initial route of patrolling and examining.
The acquisition module 200 is used for acquiring a CAD drawing of the photovoltaic power station.
The determining module 300 is configured to compare the image data of the photovoltaic power station with a CAD drawing of the photovoltaic power station, and determine a missed shot region of the photovoltaic power station.
And the updating module 400 is used for updating the initial routing inspection path according to the missed-shot region of the photovoltaic power station.
Optionally, in an embodiment of the present application, the determining module 300 is specifically configured to: determining a group string acquired by the inspection from image data of the photovoltaic power station; analyzing a CAD electronic drawing of the photovoltaic power station to obtain a standard string in the CAD electronic drawing; and comparing the group strings acquired by the inspection with the standard group strings in the CAD electronic drawing to generate a missed shot region of the photovoltaic power station.
Optionally, in an embodiment of the present application, the determining module 300 is further configured to: converting the CAD drawing of the photovoltaic power station into a file in a DXF format under the condition that the CAD drawing of the photovoltaic power station is in a DWG format; the data for the standard group string is obtained based on the file in the DXF format.
Optionally, in an embodiment of the present application, the update module 400 is specifically configured to: according to the missed cluster in the missed shot region, a cluster diagram in a photovoltaic power station model is subjected to filling processing; and regenerating the routing inspection path of the photovoltaic power station according to the supplemented string diagram.
Optionally, in an embodiment of the present application, the update module 400 is further configured to: determining an invalid shooting area and an inefficient shooting area according to image data of a photovoltaic power station; and adjusting the initial patrol path after updating according to the invalid shooting area and the inefficient shooting area.
To sum up, the system for determining the missed shot region of the photovoltaic power station in the embodiment of the application acquires a point cloud image of the photovoltaic power station through a laser radar of an unmanned aerial vehicle, screens out the point cloud image of a photovoltaic string from the point cloud image of the photovoltaic power station, acquires a CAD drawing of the photovoltaic power station, and generates a infrastructure progress of the photovoltaic power station based on the point cloud image of the photovoltaic string and the CAD drawing of the photovoltaic power station. From this, this system need not constructor and walks to the real-world and compare the construction drawing and carry out the capital construction progress and survey, only needs control unmanned aerial vehicle to fly to carry out the collection of point cloud image above building photovoltaic power station then compare with the CAD drawing and can obtain photovoltaic power station's capital construction progress, has improved photovoltaic power station capital construction survey's convenience and intellectuality, has reduced the cost of labor, has improved photovoltaic power station capital construction survey's efficiency.
In order to implement the above embodiments, the present application further proposes a non-transitory computer-readable storage medium on which a computer program is stored, the computer program, when executed by a processor, implementing the method for determining a missed-shoot region of a photovoltaic power plant as described in any of the above embodiments.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing steps of a custom logic function or process, and alternate implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Further, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc. While embodiments of the present application have been shown and described above, it will be understood that the above embodiments are exemplary and should not be construed as limiting the present application and that changes, modifications, substitutions and alterations in the above embodiments may be made by those of ordinary skill in the art within the scope of the present application.

Claims (10)

1. A method for determining a missed shot region of a photovoltaic power station is characterized by comprising the following steps:
receiving image data of the photovoltaic power station acquired by the unmanned aerial vehicle according to the initial routing inspection path;
obtaining a Computer Aided Design (CAD) drawing of the photovoltaic power station;
comparing the image data of the photovoltaic power station with a CAD drawing of the photovoltaic power station to determine a missed shot region of the photovoltaic power station;
and updating the initial routing inspection path according to the missed shot region of the photovoltaic power station.
2. The method for determining the missed shot region of the photovoltaic power station according to claim 1, wherein the step of comparing the image data of the photovoltaic power station with a CAD drawing of the photovoltaic power station to determine the missed shot region of the photovoltaic power station comprises the steps of:
determining a group string acquired by the current inspection from the image data of the photovoltaic power station;
analyzing the CAD electronic drawing of the photovoltaic power station to obtain a standard group string in the CAD electronic drawing;
and comparing the group strings acquired by the current inspection with the standard group strings in the CAD electronic drawing to generate a missed shot region of the photovoltaic power station.
3. The method for determining the missed shot region according to claim 2, wherein the analyzing a CAD electronic drawing of the photovoltaic power station to obtain a standard string in the CAD electronic drawing comprises:
converting the CAD drawing of the photovoltaic power station into a file in a DXF format under the condition that the CAD drawing of the photovoltaic power station is in a DWG format;
obtaining data for the standard set of strings based on the DXF formatted file.
4. The method for determining the missed-shot region according to claim 1 or 2, wherein the updating the initial routing inspection path according to the missed-shot region of the photovoltaic power station comprises:
according to the missed cluster in the missed cluster area, a cluster graph in a photovoltaic power station model is subjected to completion processing;
and regenerating the routing inspection path of the photovoltaic power station according to the supplemented string diagram.
5. The method for determining the missed-shoot area according to claim 1, wherein after the updating of the initial routing inspection path according to the missed-shoot area of the photovoltaic power station, the method further comprises:
determining an invalid shooting area and an inefficient shooting area according to the image data of the photovoltaic power station;
and adjusting the updated initial patrol path according to the invalid shooting area and the inefficient shooting area.
6. A system for determining a missed shot region of a photovoltaic power station is characterized by comprising:
the receiving module is used for receiving the image data of the photovoltaic power station, which is acquired by the unmanned aerial vehicle according to the initial routing inspection path;
the acquisition module is used for acquiring a Computer Aided Design (CAD) drawing of the photovoltaic power station;
the determining module is used for comparing the image data of the photovoltaic power station with the CAD drawing of the photovoltaic power station and determining a missed shot area of the photovoltaic power station;
and the updating module is used for updating the initial routing inspection path according to the missed area of the photovoltaic power station.
7. The system for determining a missed shot region according to claim 6, wherein the determining module is specifically configured to:
determining a group string acquired by the current patrol from the image data of the photovoltaic power station;
analyzing the CAD electronic drawing of the photovoltaic power station to obtain a standard group string in the CAD electronic drawing;
and comparing the group strings acquired by the current patrol with the standard group strings in the CAD electronic drawing to generate a missed shot region of the photovoltaic power station.
8. The system for determining a missed shot region of claim 7, wherein the determining module is further configured to:
converting the CAD drawing of the photovoltaic power station into a file in a DXF format under the condition that the CAD drawing of the photovoltaic power station is in a DWG format;
obtaining data for the standard set of strings based on the DXF formatted file.
9. The system for determining a missed shot region according to claim 6 or 7, wherein the updating module is specifically configured to:
according to the missed cluster in the missed cluster area, a cluster graph in a photovoltaic power station model is subjected to completion processing;
and regenerating the routing inspection path of the photovoltaic power station according to the supplemented string diagram.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the method for determining a missed-shot region of a photovoltaic power plant according to any one of claims 1 to 5.
CN202210810488.9A 2022-07-11 2022-07-11 Method, system and medium for determining missed shot region of photovoltaic power station Pending CN115131586A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116896320A (en) * 2023-03-30 2023-10-17 淮南市国家电投新能源有限公司 Water-land-air intelligent operation and maintenance method applied to water surface photovoltaic power station

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116896320A (en) * 2023-03-30 2023-10-17 淮南市国家电投新能源有限公司 Water-land-air intelligent operation and maintenance method applied to water surface photovoltaic power station
CN116896320B (en) * 2023-03-30 2024-04-05 淮南市国家电投新能源有限公司 Water-land-air intelligent operation and maintenance method applied to water surface photovoltaic power station

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