CN114926750B - Method and system for rapidly positioning large photovoltaic power station assembly - Google Patents

Method and system for rapidly positioning large photovoltaic power station assembly Download PDF

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CN114926750B
CN114926750B CN202210380772.7A CN202210380772A CN114926750B CN 114926750 B CN114926750 B CN 114926750B CN 202210380772 A CN202210380772 A CN 202210380772A CN 114926750 B CN114926750 B CN 114926750B
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image
module
photovoltaic
visible light
power station
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CN114926750A (en
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李永军
汪忠杰
洪流
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Snegrid Electric Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/17—Terrestrial scenes taken from planes or by drones
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/176—Urban or other man-made structures
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy

Abstract

The invention discloses a method and a system for rapidly positioning a large photovoltaic power station assembly, wherein the method comprises the following steps: s1, collecting visible light images of a photovoltaic module; s2, preprocessing the image acquired in the step S1 to obtain a power station overall diagram; and S3, processing the overall map of the power station to obtain coordinates of each component. The invention can automatically number the photovoltaic module, has high accuracy, can complete the coordinate positioning and numbering work only by 15 minutes for a large power station with hundred megawatts in time consumption, and greatly saves time and manpower resources compared with the traditional manual numbering.

Description

Method and system for rapidly positioning large photovoltaic power station assembly
Technical Field
The invention relates to the field of photovoltaic power generation, in particular to a method and a system for rapidly positioning a large photovoltaic power station component.
Background
As a clean energy source, photovoltaic power generation is becoming more and more unique in the power field. In recent years, more and more solar photovoltaic modules are used in photovoltaic power plants. For the photovoltaic panels, namely photovoltaic modules, in a photovoltaic power station are huge in number, the photovoltaic modules are arranged according to an array during the design of a common power station for the convenience of installation and maintenance, and part of small power stations can be distributed randomly according to the topography.
In the current market, unmanned aerial vehicles are adopted to carry out photovoltaic inspection, a visible light camera returns to a physical image, and then the acquired image is reconstructed into a power station integral image by using modeling software, or the image is fused and spliced by using an image processing technology to obtain the power station integral image.
The customer needs to find the defective component of the photovoltaic component in the whole power station diagram, and at this time, because the component is in huge array, the error of the navigation system can differ by about 3m, so the photovoltaic component needs to be manually numbered, and the photovoltaic component is generally numbered according to the arrangement mode of the array, so that the management of later maintenance personnel is convenient.
The traditional numbering method is to manually mark two component coordinate points of each row of the head and tail components of the array, then export the information of the two points into an excel table, then use automation industry to generate the component coordinates of one row according to the row spacing of the components, and repeat the work of each row according to the array number, and finally merge into one table. In this way, for a huge power station (with a large array and a large number of rows), the workload of people is very large, and the processing time of one power station is also long, so that errors are very easy to cause.
Disclosure of Invention
In order to solve the existing problems, the invention provides a method and a system for rapidly positioning a large photovoltaic power station assembly, and the specific scheme is as follows:
a method of rapidly positioning a large photovoltaic power plant assembly comprising the steps of:
s1, collecting visible light images of a photovoltaic module;
s2, preprocessing the image acquired in the step S1 to obtain a power station overall diagram;
and S3, processing the overall map of the power station to obtain coordinates of each component.
Preferably, in the step S1, the unmanned aerial vehicle is used to carry a visible light camera to collect a visible light image of the photovoltaic module.
Preferably, the step S2 of preprocessing the image refers to uploading the image acquired in the step S1 to modeling software for image reconstruction, and generating a result map after operation, that is, a whole map of the power station.
Preferably, the step of processing the overall map of the power station in step S3 includes:
s31, compressing the overall map of the power station so that the memory of the picture is less than 232 bytes, and thus the image processing library can be conveniently read;
s32, manually cutting out images of arrays to be processed, and inputting numbers to each array;
s33, respectively performing image processing on each array in the step S32 to obtain an array image and each photovoltaic module image forming the array image;
s34, selecting any two photovoltaic modules, and automatically identifying coordinates of the two photovoltaic modules in the array image according to the positions of the photovoltaic modules in the array image;
and S35, according to the two coordinates obtained in the step S34, combining the longitude and latitude of the earth where the two photovoltaic modules are located, converting the actual coordinates of each photovoltaic module image in the array image into longitude and latitude coordinates of the earth, so as to obtain the longitude and latitude coordinates of each photovoltaic module, and simultaneously, obtaining the corresponding numbers of each photovoltaic module according to the sequence labels in the list where the longitude and latitude coordinates of each photovoltaic module are located.
Preferably, the step of image processing in step S33 includes:
s331, carrying out blurring processing on the G channel image aiming at the image of the array to be processed which is manually cut out in the step S32;
s332, performing edge enhancement treatment to reduce the influence of inconspicuous edge profile caused by partial reflection;
s333, fourier transforming the edge-enhanced image,
Figure BDA0003592876040000031
wherein v=0, 1,..n-1; u=0, 1,..m-1; obtaining a frequency domain image;
s334, establishing a Gaussian filter to enhance the high-frequency part;
s335, performing inverse Fourier transform,
Figure BDA0003592876040000032
wherein v=0, 1,..n-1; u=0, 1,..m-1; obtaining a normal image;
s336, adding the original image and the image weight after the inverse transformation to obtain a new image;
and S337, finally obtaining each photovoltaic module image and each array image by using a threshold segmentation algorithm and a contour screening algorithm.
Preferably, any two photovoltaic modules selected in step S34 are not adjacent.
The invention also discloses a computer readable storage medium, wherein a computer program is stored on the medium, and the method for rapidly positioning the large photovoltaic power station component is executed after the computer program is operated.
The invention also discloses a computer system, which comprises a processor and a storage medium, wherein the storage medium is provided with a computer program, and the processor reads and runs the computer program from the storage medium to execute the method for quickly positioning the large photovoltaic power station assembly.
Preferably, the system of the method for rapidly positioning the large photovoltaic power station assembly comprises a data acquisition module, a data transmission module, a data storage module, a data processing module and a man-machine interaction module which are electrically connected in sequence;
the data acquisition module is a visible light camera carrying an unmanned aerial vehicle and is used for acquiring a visible light image of the photovoltaic module;
the data transmission module is used for transmitting the acquired visible light image to the data storage module;
the data storage module is used for storing the visible light image;
the data processing module is used for extracting the visible light images in the data storage module, integrating the visible light images to obtain a power station overall image, processing the visible light images according to the original visible light images of the manually-judged arrays to obtain the numbers and corresponding longitude and latitude coordinates of each photovoltaic module, and uploading the results to the man-machine interaction module;
the man-machine interaction module is used for manually judging the visible light image and simultaneously displaying and inquiring the serial numbers and the corresponding longitude and latitude coordinates of each photovoltaic module.
The invention has the beneficial effects that:
the invention can automatically number the photovoltaic module, has high accuracy, can complete the coordinate positioning and numbering work only by 15 minutes for a large power station with hundred megawatts in time consumption, and greatly saves time and manpower resources compared with the traditional manual numbering.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is an overall view of the integrated power plant;
FIG. 3 is a diagram of a raw photovoltaic array as manually arbitrated;
FIG. 4 is a frequency domain plot obtained after Fourier transform;
FIG. 5 is an edge enhancement graph after edge enhancement processing;
FIG. 6 is a view of the segmentation of the component after image processing;
fig. 7 is a chart of information of numbers, longitudes, and latitudes corresponding to each photovoltaic module in one array image.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a method for rapidly positioning a large photovoltaic power plant module includes the steps of:
s1, collecting visible light images of a photovoltaic module by using an unmanned aerial vehicle-mounted visible light camera;
s2, preprocessing the image acquired in the step S1 to obtain a power station overall diagram; the image preprocessing refers to that the acquired image is uploaded to modeling software for image reconstruction, and a result diagram is generated after operation, namely the whole diagram of the power station, as shown in fig. 2. The modeling software refers to application software capable of providing an image stitching and fusion function.
And S3, processing the overall map of the power station to obtain coordinates of each component.
The step of processing the overall map of the power station comprises the following steps:
s31, compressing the whole graph of the power station so that the memory of the graph is less than 2 32 Bytes, thus facilitating the reading of the image processing library;
s32, manually cutting out images of arrays to be processed, as shown in FIG. 3, and inputting numbers to each array;
s33, respectively performing image processing on each array in the step S32 to obtain an array image and each photovoltaic module image forming the array image;
wherein the image processing step includes:
s331, carrying out blurring processing on the G channel image aiming at the image of the array to be processed which is manually cut out in the step S32;
s332, performing edge enhancement treatment to reduce the inconspicuous influence of the edge profile caused by the partial reflection, as shown in FIG. 5;
s333, fourier transforming the edge-enhanced image,
Figure BDA0003592876040000061
wherein v=0, 1,..n-1; u=0, 1,..m-1; obtaining a frequency domain image, as shown in fig. 4;
s334, establishing a Gaussian filter to enhance the high-frequency part;
s335, performing inverse Fourier transform,
Figure BDA0003592876040000062
wherein v=0, 1,..n-1; u=0, 1,..m-1; obtaining a normal image;
s336, adding the original image and the image weight after the inverse transformation to obtain a new image;
s337, finally obtaining each photovoltaic module image and each array image by using a threshold segmentation algorithm and a contour screening algorithm, as shown in fig. 6.
S34, selecting any two photovoltaic modules, and automatically identifying the coordinates of the two photovoltaic modules in the array image through an image segmentation and image identification algorithm (the parameters are self-adaptive and can be finely adjusted under special conditions) according to the positions of the two photovoltaic modules in the array image; wherein, two arbitrary photovoltaic modules that choose are not adjacent.
And S35, according to the two coordinates obtained in the step S34 and combining the longitude and latitude of the earth where the two photovoltaic modules are located, converting the actual coordinates of each photovoltaic module image in the array image into longitude and latitude coordinates of the earth, so as to obtain the longitude and latitude coordinates of each photovoltaic module, and simultaneously, according to the sequence labels in the list where the longitude and latitude coordinates of each photovoltaic module are located, obtaining the corresponding numbers of each photovoltaic module. Fig. 7 is a chart of information of numbers and longitude and latitude corresponding to each photovoltaic module in an array image in a specific embodiment.
According to the steps, people can find out the failed photovoltaic module in time according to the longitude and latitude coordinates and the corresponding number of each photovoltaic module.
The invention also discloses a computer readable storage medium, wherein a computer program is stored on the medium, and the method for rapidly positioning the large photovoltaic power station component is executed after the computer program is operated.
The invention also discloses a computer system, which comprises a processor and a storage medium, wherein the storage medium is provided with a computer program, and the processor reads and runs the computer program from the storage medium to execute the method for quickly positioning the large photovoltaic power station assembly.
A system for a method for rapidly positioning a large-scale photovoltaic power station assembly comprises a data acquisition module, a data transmission module, a data storage module, a data processing module and a man-machine interaction module which are electrically connected in sequence;
the data acquisition module is a visible light camera carrying the unmanned aerial vehicle and is used for acquiring a visible light image of the photovoltaic module;
the data transmission module is used for transmitting the acquired visible light image to the data storage module;
the data storage module is used for storing visible light images;
the data processing module is used for extracting the visible light images in the data storage module, integrating the visible light images to obtain an overall image of the power station, processing the overall image according to the original visible light images of the manually-judged array to obtain the serial numbers and the corresponding longitude and latitude coordinates of each photovoltaic module, and uploading the results to the human-computer interaction module;
the man-machine interaction module is used for manually judging the visible light image and simultaneously displaying and inquiring the serial numbers and the corresponding longitude and latitude coordinates of each photovoltaic module.
The invention can automatically number the photovoltaic module, has high accuracy, can complete the coordinate positioning and numbering work only by 15 minutes for a large power station with hundred megawatts in time consumption, and greatly saves time and manpower resources compared with the traditional manual numbering.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. 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 various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disk) as used herein include Compact Disc (CD), laser disc, optical disc, digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disk) usually reproduce data magnetically, while discs (disk) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (7)

1. The method for rapidly positioning the large photovoltaic power station assembly is characterized by comprising the following steps of:
s1, collecting visible light images of a photovoltaic module;
s2, preprocessing the image acquired in the step S1 to obtain a power station overall diagram;
s3, processing the overall map of the power station to obtain coordinates of each component;
the step of processing the overall map of the power station in step S3 includes:
s31, compressing the whole power station graph so that the picture memory is smaller than 2 32 Bytes, thus facilitating the reading of the image processing library;
s32, manually cutting out images of arrays to be processed, and inputting numbers to each array;
s33, respectively performing image processing on each array in the step S32 to obtain an array image and each photovoltaic module image forming the array image;
s34, selecting any two photovoltaic modules, and automatically identifying coordinates of the two photovoltaic modules in the array image according to the positions of the photovoltaic modules in the array image;
s35, according to the two coordinates obtained in the step S34, combining the longitude and latitude of the earth where the two photovoltaic modules are located, converting the actual coordinates of each photovoltaic module image in the array image into longitude and latitude coordinates of the earth, so as to obtain the longitude and latitude coordinates of each photovoltaic module, and simultaneously, according to the sequence labels in the list where the longitude and latitude coordinates of each photovoltaic module are located, obtaining the corresponding numbers of each photovoltaic module;
the step of image processing in step S33 includes:
s331, carrying out blurring processing on the G channel image aiming at the image of the array to be processed which is manually cut out in the step S32;
s332, performing edge enhancement treatment to reduce the influence of inconspicuous edge profile caused by partial reflection;
s333, fourier transforming the edge-enhanced image,
Figure QLYQS_1
wherein v=0, 1,..n-1; u=0, 1,..m-1; obtaining a frequency domain image;
s334, establishing a Gaussian filter to enhance the high-frequency part;
s335, performing inverse Fourier transform,
Figure QLYQS_2
wherein v=0, 1,..n-1; u=0, 1,..m-1; obtaining a normal image;
s336, adding the original image and the image weight after the inverse transformation to obtain a new image;
and S337, finally obtaining each photovoltaic module image and each array image by using a threshold segmentation algorithm and a contour screening algorithm.
2. The method according to claim 1, characterized in that: in the step S1, the unmanned aerial vehicle is used for carrying a visible light camera to collect a visible light image of the photovoltaic module.
3. The method according to claim 1, characterized in that: in the step S2, the image preprocessing refers to uploading the image acquired in the step S1 to modeling software for image reconstruction, and generating a result chart after operation, namely, a whole chart of the power station.
4. The method according to claim 1, characterized in that: any two photovoltaic modules selected in the step S34 are not adjacent.
5. A computer-readable storage medium, characterized by: a computer program stored on a medium, which when run performs the method of rapidly positioning a large photovoltaic power plant assembly according to any one of claims 1 to 4.
6. A computer system, characterized in that: comprising a processor, a storage medium having a computer program stored thereon, the processor reading and running the computer program from the storage medium to perform the method of rapidly positioning a large photovoltaic power plant assembly according to any of claims 1 to 4.
7. A system for rapidly positioning a large photovoltaic power plant module, characterized by: the system comprises a data acquisition module, a data transmission module, a data storage module, a data processing module and a man-machine interaction module which are electrically connected in sequence; a method of rapidly positioning a large photovoltaic power plant module as claimed in any one of claims 1 to 4;
the data acquisition module is a visible light camera carrying an unmanned aerial vehicle and is used for acquiring a visible light image of the photovoltaic module;
the data transmission module is used for transmitting the acquired visible light image to the data storage module;
the data storage module is used for storing the visible light image;
the data processing module is used for extracting the visible light images in the data storage module, integrating the visible light images to obtain a power station overall image, processing the visible light images according to the original visible light images of the manually-judged arrays to obtain the numbers and corresponding longitude and latitude coordinates of each photovoltaic module, and uploading the results to the man-machine interaction module;
the man-machine interaction module is used for manually judging the visible light image and simultaneously displaying and inquiring the serial numbers and the corresponding longitude and latitude coordinates of each photovoltaic module.
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