CN117353658A - IV & CV fusion diagnostic system - Google Patents

IV & CV fusion diagnostic system Download PDF

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Publication number
CN117353658A
CN117353658A CN202310623131.4A CN202310623131A CN117353658A CN 117353658 A CN117353658 A CN 117353658A CN 202310623131 A CN202310623131 A CN 202310623131A CN 117353658 A CN117353658 A CN 117353658A
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diagnosis
fusion
photovoltaic module
server
analysis result
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李永军
李行行
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Snegrid Electric Technology Co ltd
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Snegrid Electric Technology Co ltd
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Priority to CN202310623131.4A priority Critical patent/CN117353658A/en
Publication of CN117353658A publication Critical patent/CN117353658A/en
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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
    • 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
    • H02S50/15—Testing of PV devices, e.g. of PV modules or single PV cells using optical means, e.g. using electroluminescence

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Remote Sensing (AREA)
  • Photovoltaic Devices (AREA)

Abstract

The invention discloses an IV & CV fusion diagnostic system, comprising: the integrated diagnosis server is respectively in communication connection with the IV diagnosis server and the unmanned aerial vehicle, and is used for executing diagnosis tasks after responding to the diagnosis task request, and comprises the following steps: triggering an IV diagnosis server to perform IV diagnosis analysis on current data and voltage data of a photovoltaic module in a target photovoltaic power station, and receiving an IV diagnosis analysis result sent by the IV diagnosis server; controlling the unmanned aerial vehicle to fly, acquiring an image of a photovoltaic module in a target photovoltaic power station, obtaining a photovoltaic module image, and identifying the photovoltaic module image to obtain a CV diagnosis analysis result; and carrying out matching fusion on the IV diagnosis analysis result and the CV diagnosis analysis result to obtain a final diagnosis analysis result. The IV & CV fusion diagnosis system provided by the embodiment of the invention can improve the fault diagnosis rate of the photovoltaic module through the IV and CV fusion diagnosis of the photovoltaic module.

Description

IV & CV fusion diagnostic system
Technical Field
The invention relates to the technical field of data processing, in particular to an IV & CV fusion diagnosis system.
Background
With the development of the photovoltaic industry, inspection schemes of photovoltaic modules have been stepped from manual inspection into the era of inspection diagnosis using various devices. Such as IV diagnostic apparatus, unmanned aerial vehicle etc., the appearance of this kind of equipment has improved the artifical inspection of photovoltaic inspection trade and has wasted time and energy the pain point, has improved the efficiency that the photovoltaic inspected to a certain extent and has reduced the cost of labor that consumes. At present, manual inspection, traditional manual control unmanned aerial vehicle inspection and IV diagnosis have the following defects: 1. the manual inspection of the photovoltaic station with a certain scale requires several days to finish inspection of all components, and whether the components have faults or not is judged according to experience, so that the equipment fault discovery rate is low, and the benefit of the power station is greatly influenced. 2. IV diagnosis results can only be positioned to a group string, operation and maintenance personnel need to manually distinguish one by one when eliminating defects, and specific fault components are analyzed and judged, so that positioning of accurate fault components cannot be realized. 3. The traditional unmanned aerial vehicle inspection can improve the pain point of manual inspection, but can be influenced by factors such as the number of flying hands, the technical level of flying hands and the like, so that the traditional unmanned aerial vehicle inspection can not form standardized, normalized and programmed operation modes.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, the invention aims to provide an IV & CV fusion diagnosis system for improving the fault diagnosis rate of a photovoltaic module.
To achieve the above object, an embodiment of the present invention provides an IV & CV fusion diagnostic system, the system including: the system comprises a fusion diagnosis server, an IV diagnosis server and an unmanned aerial vehicle, wherein the fusion diagnosis server is respectively in communication connection with the IV diagnosis server and the unmanned aerial vehicle and is used for responding to a diagnosis task request and then executing the diagnosis task, and the system comprises: triggering the IV diagnosis server to perform IV diagnosis analysis on current data and voltage data of a photovoltaic module in a target photovoltaic power station, and receiving an IV diagnosis analysis result sent by the IV diagnosis server; controlling the unmanned aerial vehicle to fly, acquiring an image of a photovoltaic module in the target photovoltaic power station, obtaining a photovoltaic module image, and identifying the photovoltaic module image to obtain a CV diagnosis analysis result; and carrying out matching fusion on the IV diagnosis analysis result and the CV diagnosis analysis result to obtain a final diagnosis analysis result.
In addition, the IV & CV fusion diagnostic system of embodiments of the invention may also have the following additional technical features:
according to one embodiment of the invention, the fusion diagnostic server is further configured to: determining a target area according to the IV diagnosis analysis result, wherein the target area is an area where the candidate fault photovoltaic module is located; controlling the unmanned aerial vehicle to fly to the target area so as to acquire images of the photovoltaic modules in the target area; and identifying the photovoltaic module image in the target area to determine a final diagnosis analysis result from the candidate fault photovoltaic module.
According to one embodiment of the invention, the system further comprises: the collection server is in communication connection with the fusion diagnosis server through the forward isolation device and the reverse isolation device and is used for: receiving the diagnosis task request sent by the fusion diagnosis server through the reverse isolation device; triggering the IV diagnosis server to perform IV diagnosis analysis on current data and voltage data of a photovoltaic module in the target photovoltaic power station according to the diagnosis task request; and transmitting the IV diagnosis analysis result sent by the IV diagnosis server to the fusion diagnosis server through the forward isolation device.
According to one embodiment of the invention, the fusion diagnostic server includes: the system comprises a picture memory, a relational database, a message queue and a data processing module; the picture memory is used for storing the photovoltaic module image; the relational database is used for storing the IV diagnosis analysis result, the CV diagnosis analysis result and the storage path of the photovoltaic module image fed back by the picture memory; the message queue is used for receiving the diagnosis task request and the CV diagnosis analysis result; and the data processing module is used for identifying the photovoltaic module image by utilizing a pre-trained AI model after the message queue is monitored to receive the diagnosis task request, obtaining the CV diagnosis analysis result, transmitting the CV diagnosis analysis result to the relational database for storage through the message queue, and carrying out matching fusion on the IV diagnosis analysis result and the CV diagnosis analysis result to obtain a final diagnosis analysis result.
According to one embodiment of the present invention, the photovoltaic module image includes a visible light image and an infrared image, and the data processing module is specifically configured to, when identifying the photovoltaic module image by using a pre-trained AI model: calculating the actual size of the infrared image according to the infrared camera parameters corresponding to the infrared image, marking the actual size as a first actual size, and calculating the actual size of the visible light image according to the visible light camera parameters corresponding to the visible light image, marking the actual size as a second actual size; acquiring position information of the unmanned aerial vehicle, and determining the position of the central point of the infrared image in the visible light image according to the position information, the first actual size and the second actual size, and marking the position as a first position; obtaining the position of the fault photovoltaic module in the visible light image according to the first position and the position of the fault photovoltaic module in the infrared image, and marking the position as a second position; establishing an image view coordinate system according to the yaw angle of the unmanned aerial vehicle; and in the image view coordinate system, according to the second position and the visual angle of the visible light camera, obtaining the visual angle of the fault photovoltaic module relative to the unmanned aerial vehicle, and completing the positioning of the fault photovoltaic module.
According to one embodiment of the invention, the system further comprises: the client is in communication connection with the fusion diagnosis server and is used for sending the diagnosis task request to the fusion diagnosis server and receiving a fault diagnosis report transmitted by the fusion diagnosis server, wherein the fault diagnosis report is generated by the fusion diagnosis server according to the final fault photovoltaic module.
According to one embodiment of the invention, the fusion diagnostic server is further configured to, prior to performing the diagnostic task: acquiring weather information of the environment where the target photovoltaic power station is located; judging whether the weather information meets a preset diagnosis task condition or not; if so, performing the diagnostic task.
According to one embodiment of the present invention, the fusion diagnostic server is further configured to perform one of the following actions when the weather information does not satisfy the preset diagnostic task condition: task waiting is carried out, and a diagnosis task is executed when the weather information meets the preset diagnosis task condition within preset time; and performing fault fusion diagnosis by using the historical IV diagnosis analysis result and the historical photovoltaic module image acquired by the unmanned aerial vehicle.
According to one embodiment of the present invention, the preset diagnostic task conditions include: wind speeds less than 10m/s and irradiance greater than 600W/m2.
According to one embodiment of the invention, the IV diagnostic server communicates with the acquisition server through an intranet firewall.
According to the IV and CV fusion diagnosis system provided by the embodiment of the invention, through the IV and CV fusion diagnosis of the photovoltaic module, the fault diagnosis rate of the photovoltaic module can be improved, the fault position can be accurately identified and marked, meanwhile, the labor cost can be reduced, and the operation and maintenance efficiency can be improved.
Drawings
FIG. 1 is a schematic diagram of an IV & CV fusion diagnostic system in accordance with an embodiment of the present invention;
FIG. 2 is a schematic workflow diagram of a converged diagnostic server in accordance with one embodiment of the present invention;
FIG. 3 is a schematic diagram of the structure of an IV & CV fusion diagnostic system in accordance with another embodiment of the present invention;
FIG. 4 is a schematic diagram of a converged diagnostic server according to an embodiment of the present invention;
FIG. 5 is a schematic flow chart of a data processing module for identifying a photovoltaic module image using a pre-trained AI model according to one embodiment of the invention;
FIG. 6 is an exemplary diagram of an infrared image coordinate system and a visible light image coordinate system of an embodiment of the present invention;
FIG. 7 is an exemplary diagram of an image field of view coordinate system according to an embodiment of the invention;
FIG. 8 is an exemplary diagram of a fault location versus x and y corresponding viewing angles of a drone according to one embodiment of the present invention;
FIG. 9 is a schematic diagram of a specific workflow of an IV & CV fusion diagnostic system in accordance with an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
An IV & CV fusion diagnostic system according to an embodiment of the invention is described below with reference to the drawings.
FIG. 1 is a schematic diagram of an IV & CV fusion diagnostic system in accordance with an embodiment of the present invention.
As shown in fig. 1, the IV & CV fusion diagnostic system includes: the fusion diagnostic server 10, the IV diagnostic server 20 and the unmanned aerial vehicle 30, the fusion diagnostic server 10 is respectively in communication connection with the IV diagnostic server 20 and the unmanned aerial vehicle 30, and is used for executing diagnostic tasks after responding to the diagnostic task request, and comprises: triggering the IV diagnosis server 20 to perform IV diagnosis analysis on current data and voltage data of the photovoltaic module in the target photovoltaic power station, and receiving an IV diagnosis analysis result sent by the IV diagnosis server 20; controlling the unmanned aerial vehicle 30 to fly, acquiring an image of a photovoltaic module in a target photovoltaic power station, obtaining a photovoltaic module image, and identifying the photovoltaic module image to obtain a CV diagnosis analysis result; and carrying out matching fusion on the IV diagnosis analysis result and the CV diagnosis analysis result to obtain a final diagnosis analysis result.
The IV diagnosis is a diagnosis of detecting and diagnosing a failure in a photovoltaic module by analyzing a current-voltage (I-V) curve of the photovoltaic module. Specifically, the data collector can send an IV scanning instruction to the inverter, and the inverter completes the complete IV curve data collection of the photovoltaic string. Based on analysis of characteristic parameters of the photovoltaic string, different defect information of the photovoltaic string is identified, and whether the photovoltaic string is abnormal or not is judged based on the defect information. The CV diagnosis is to identify the image collected by the unmanned aerial vehicle 30 by using an algorithm, so as to determine the type of fault in the photovoltaic module.
According to the IV and CV fusion diagnosis system provided by the embodiment of the invention, through the IV and CV fusion diagnosis of the photovoltaic module, the fault diagnosis rate of the photovoltaic module can be improved, the fault position can be accurately identified and marked, meanwhile, the labor cost can be reduced, and the operation and maintenance efficiency can be improved.
In some embodiments of the present invention, as shown in FIG. 2, the fusion diagnostic server 10 is also configured to:
and S11, determining a target area according to the IV diagnosis analysis result, wherein the target area is the area where the candidate fault photovoltaic module is located.
S12, controlling the unmanned aerial vehicle 30 to fly to the target area so as to acquire images of the photovoltaic modules in the target area.
And S13, identifying the photovoltaic module image in the target area to determine a final diagnosis analysis result from the candidate fault photovoltaic modules.
As one example, the extreme speed mode and the fine mode may be classified according to actual diagnostic requirements. In the extreme speed mode, the IV curve of the photovoltaic power station is comprehensively detected through IV diagnosis, so that the performance problem of the battery plate in the whole photovoltaic module is identified, and CV diagnosis is conducted on the discovered fault group strings. Thus, the flight route of the unmanned aerial vehicle 30 can be reduced, and the advantages of IV rapidness and CV fineness can be fully utilized. In the fine mode, IV and CV are used for comprehensive detection, and comprehensive and fine physical examination is carried out on the inside and outside of the photovoltaic module, so that more comprehensive and more accurate diagnosis can be realized.
In this embodiment, the IV & CV fusion diagnostic system can pointedly formulate a patrol task to realize accurate positioning of the problem components in the fault group string, thereby reducing unnecessary patrol of the unmanned aerial vehicle 30 and saving power consumption of the unmanned aerial vehicle 30.
In some embodiments of the invention, as shown in fig. 3, the IV & CV fusion diagnostic system further comprises: the collection server 40, the forward isolation device 50 and the reverse isolation device 60. The acquisition server 40 is communicatively connected to the fusion diagnostic server 10 via the forward isolation device 50 and the reverse isolation device 60 for:
s21, the diagnosis task request sent by the fusion diagnosis server 10 is received through the reverse isolation device 60.
And S22, triggering the IV diagnosis server 20 to perform IV diagnosis analysis on current data and voltage data of the photovoltaic modules in the target photovoltaic power station according to the diagnosis task request.
S23, the IV diagnostic analysis result transmitted from the IV diagnostic server 20 is transmitted to the fusion diagnostic server 10 through the forward isolation device 50.
Specifically, the IV diagnostic server 20 communicates with the acquisition server 40 through an intranet firewall 70.
As one example, both acquisition server 40 and fusion diagnostic server 10 may be communicatively coupled to other devices via switch 80.
It should be noted that in some embodiments, the IV & CV fusion diagnostic system may be divided into a production control area and a management information area, where the production control area may include a control area (safety I area) and a non-control area (safety II area), and the management information area may include a safety III area.
In this embodiment, the workers and equipment can be protected from voltage shocks by using the forward isolation device 50. When the equipment needs to be maintained or overhauled, the forward isolation device 50 is used for cutting off a circuit, and the grounding device is used for guiding voltage to the ground, so that the safety of staff can be ensured. The stability and reliability of the power module can be improved by using the reverse isolation device 60.
In some embodiments of the present invention, as shown in fig. 4, the fusion diagnostic server 10 includes: picture store 101, relational database 102, message queue 103 and data processing module 104.
The picture memory 101 is used for storing photovoltaic module images.
As an example, after the image acquisition of the photovoltaic module in the target photovoltaic power plant by the unmanned aerial vehicle 30 is completed, the captured photovoltaic module image is uploaded to the picture memory 101 through a transmission process of "air-to-ground, ground-to-cloud".
The relational database 102 is used for storing IV diagnosis analysis results and CV diagnosis analysis results, and a storage path of the photovoltaic module image fed back by the picture memory 101.
The message queue 103 is used to receive diagnostic task requests and CV diagnostic analysis results.
As one example, message queue 103 may be a rabitmq message queue.
The data processing module 104 is configured to identify the photovoltaic module image by using a pre-trained AI model after receiving the diagnosis task request in the message queue 103, obtain a CV diagnosis analysis result, transmit the CV diagnosis analysis result to the relational database 102 for storage through the message queue 103, and perform matching fusion on the IV diagnosis analysis result and the CV diagnosis analysis result, so as to obtain a final diagnosis analysis result.
As one example, the data processing module 104 may also transmit the final diagnostic analysis results to the relational database 102 for storage.
In this embodiment, the reliability and data processing efficiency of the IV & CV fusion diagnostic system can be improved by the picture store 101, the relational database 102, the message queue 103, and the data processing module 104.
In some embodiments of the present invention, the photovoltaic module image includes a visible light image and an infrared image, as shown in fig. 5, the data processing module 104 is specifically configured to, when identifying the photovoltaic module image by using a pre-trained AI model:
s31, calculating the actual size of the infrared image according to the infrared camera parameters corresponding to the infrared image, marking the actual size as a first actual size, and calculating the actual size of the visible image according to the visible camera parameters corresponding to the visible image, marking the actual size as a second actual size.
S32, acquiring position information of the unmanned aerial vehicle 30, determining the position of the center point of the infrared image in the visible light image according to the position information, the first actual size and the second actual size, and marking the position as a first position.
And S33, obtaining the position of the fault photovoltaic module in the visible light image according to the first position and the position of the fault photovoltaic module in the infrared image, and marking the position as a second position.
As one example, as shown in fig. 6, an infrared image coordinate system O1X1Y1 and a visible light image coordinate system O2X2Y2 may be established. And registering the infrared image in the visible light image is obtained through the position information, the first actual size and the second actual size.
S34, establishing an image view coordinate system according to the yaw angle of the unmanned aerial vehicle 30.
As an example, as shown in fig. 7, an image view coordinate system is established with the unmanned aerial vehicle 30 as the origin of coordinates.
And S35, in the image view coordinate system, according to the second position and the visual angle of the visible light camera, obtaining the visual angle of the fault photovoltaic module relative to the unmanned aerial vehicle 30, and completing the positioning of the fault photovoltaic module.
As an example, as shown in fig. 8, the fault location is obtained from the second location and the view angle of the visible light camera to correspond to the x and y view angles of the unmanned aerial vehicle 30, thereby completing the positioning of the fault photovoltaic module.
In this embodiment, the data processing module 104 is able to accurately identify and mark the location of defects in the failed photovoltaic module.
In some embodiments of the invention, the IV & CV fusion diagnostic system further comprises: the client is in communication connection with the fusion diagnosis server 10 and is used for sending a diagnosis task request to the fusion diagnosis server 10 and receiving a fault diagnosis report transmitted by the fusion diagnosis server 10, wherein the fault diagnosis report is generated by the fusion diagnosis server 10 according to the final fault photovoltaic module.
As one example, a client may issue a diagnostic plan via HTTP requests.
In some embodiments of the present invention, the fusion diagnostic server 10 is further configured to, prior to performing the diagnostic tasks:
s41, obtaining weather information of the environment where the target photovoltaic power station is located.
S42, judging whether the weather information meets the preset diagnosis task conditions.
And S43, if the result is met, executing the diagnosis task.
Specifically, the fusion diagnostic server 10 is further configured to perform one of the following actions when the weather information does not satisfy the preset diagnostic task condition: task waiting is carried out, and a diagnosis task is executed when weather information meets the preset diagnosis task condition within preset time; and performing fault fusion diagnosis by using the historical IV diagnosis analysis result and the historical photovoltaic module image acquired by the unmanned aerial vehicle 30.
More specifically, the preset diagnostic task conditions include: wind speeds less than 10m/s and irradiance greater than 600W/m2.
In this embodiment, according to weather information, whether to perform a diagnosis task is selected, and when a preset diagnosis task condition is not satisfied, a historical IV diagnosis analysis result and a historical photovoltaic module image collected by the unmanned aerial vehicle 30 can be used for performing fault fusion diagnosis, so that various diagnosis scenes can be satisfied, and a diagnosis result can be conveniently and accurately obtained in time.
As an example, as shown in fig. 9, a specific workflow of the present invention is illustrated:
a1, the client side issues a planning request to the fusion diagnosis server 10.
A2, the fusion diagnostic server 10 transmits the diagnostic task request through the reverse isolation device 60.
A3, the acquisition server 40 sends a diagnostic task request to the IV diagnostic server 20.
And A4, the IV diagnosis server 20 performs IV diagnosis analysis on current data and voltage data of the photovoltaic modules in the target photovoltaic power station according to the diagnosis task request, and responds to the IV diagnosis analysis result to the acquisition server 40.
A5, the acquisition server 40 transmits the IV diagnosis analysis result to the fusion diagnosis server 10 through the forward isolation device 50.
A6, the fusion diagnosis server 10 issues a flight mission to the unmanned aerial vehicle 30 through the MQTT.
A7, the unmanned aerial vehicle 30 performs image acquisition on the photovoltaic module in the target photovoltaic power station to obtain a visible light image and an infrared image of the photovoltaic module, and uploads the visible light image and the infrared image to the picture memory 101.
A8, the picture memory 101 generates a storage path of the photovoltaic module image.
And A9, the fusion diagnosis server 10 stores the storage path of the photovoltaic module image into the relational database 102.
A10, the relational database 102 feeds back the warehousing response.
A11, the fusion diagnostic server 10 puts the diagnostic task request into the message queue 103.
A12, the message queue 103 pushes the corresponding request to the data processing module 104.
A13, after monitoring the diagnosis task request, the data processing module 104 identifies the photovoltaic module image by utilizing the pre-trained AI model to obtain a CV diagnosis analysis result, and performs matching fusion on the IV diagnosis analysis result and the CV diagnosis analysis result to obtain a final diagnosis analysis result.
A14, the data processing module 104 transmits the final diagnosis analysis result to the message queue 103.
And A15, pushing a final diagnosis analysis result by the message queue 103.
And A16, the fusion diagnosis server 10 transmits the final diagnosis analysis result to the relational database 102 for storage.
A17, the relational database 102 feeds back the binning response.
And A18, the client receives the fault diagnosis report transmitted by the fusion diagnosis server 10.
It will be appreciated that the logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing 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). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may 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.
Meanwhile, the portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," 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 present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. 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, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.

Claims (10)

1. An IV & CV fusion diagnostic system, the system comprising: the system comprises a fusion diagnosis server, an IV diagnosis server and an unmanned aerial vehicle, wherein the fusion diagnosis server is respectively in communication connection with the IV diagnosis server and the unmanned aerial vehicle and is used for responding to a diagnosis task request and then executing the diagnosis task, and the system comprises:
triggering the IV diagnosis server to perform IV diagnosis analysis on current data and voltage data of a photovoltaic module in a target photovoltaic power station, and receiving an IV diagnosis analysis result sent by the IV diagnosis server;
controlling the unmanned aerial vehicle to fly, acquiring an image of a photovoltaic module in the target photovoltaic power station, obtaining a photovoltaic module image, and identifying the photovoltaic module image to obtain a CV diagnosis analysis result;
and carrying out matching fusion on the IV diagnosis analysis result and the CV diagnosis analysis result to obtain a final diagnosis analysis result.
2. The IV & CV fusion diagnostic system of claim 1, wherein the fusion diagnostic server is further configured to:
determining a target area according to the IV diagnosis analysis result, wherein the target area is an area where the candidate fault photovoltaic module is located;
controlling the unmanned aerial vehicle to fly to the target area so as to acquire images of the photovoltaic modules in the target area;
and identifying the photovoltaic module image in the target area to determine a final diagnosis analysis result from the candidate fault photovoltaic module.
3. The IV & CV fusion diagnostic system of claim 1, further comprising: the collection server is in communication connection with the fusion diagnosis server through the forward isolation device and the reverse isolation device and is used for:
receiving the diagnosis task request sent by the fusion diagnosis server through the reverse isolation device;
triggering the IV diagnosis server to perform IV diagnosis analysis on current data and voltage data of a photovoltaic module in the target photovoltaic power station according to the diagnosis task request;
and transmitting the IV diagnosis analysis result sent by the IV diagnosis server to the fusion diagnosis server through the forward isolation device.
4. The IV & CV fusion diagnostic system of claim 1, wherein the fusion diagnostic server comprises: the system comprises a picture memory, a relational database, a message queue and a data processing module;
the picture memory is used for storing the photovoltaic module image;
the relational database is used for storing the IV diagnosis analysis result, the CV diagnosis analysis result and the storage path of the photovoltaic module image fed back by the picture memory;
the message queue is used for receiving the diagnosis task request and the CV diagnosis analysis result;
and the data processing module is used for identifying the photovoltaic module image by utilizing a pre-trained AI model after the message queue is monitored to receive the diagnosis task request, obtaining the CV diagnosis analysis result, transmitting the CV diagnosis analysis result to the relational database for storage through the message queue, and carrying out matching fusion on the IV diagnosis analysis result and the CV diagnosis analysis result to obtain a final diagnosis analysis result.
5. The IV & CV fusion diagnostic system of claim 4, wherein the photovoltaic module image comprises a visible light image and an infrared image, the data processing module is specifically configured to, when identifying the photovoltaic module image using a pre-trained AI model:
calculating the actual size of the infrared image according to the infrared camera parameters corresponding to the infrared image, marking the actual size as a first actual size, and calculating the actual size of the visible light image according to the visible light camera parameters corresponding to the visible light image, marking the actual size as a second actual size;
acquiring position information of the unmanned aerial vehicle, and determining the position of the central point of the infrared image in the visible light image according to the position information, the first actual size and the second actual size, and marking the position as a first position;
obtaining the position of the fault photovoltaic module in the visible light image according to the first position and the position of the fault photovoltaic module in the infrared image, and marking the position as a second position;
establishing an image view coordinate system according to the yaw angle of the unmanned aerial vehicle;
and in the image view coordinate system, according to the second position and the visual angle of the visible light camera, obtaining the visual angle of the fault photovoltaic module relative to the unmanned aerial vehicle, and completing the positioning of the fault photovoltaic module.
6. The IV & CV fusion diagnostic system of claim 1, further comprising: the client is in communication connection with the fusion diagnosis server and is used for sending the diagnosis task request to the fusion diagnosis server and receiving a fault diagnosis report transmitted by the fusion diagnosis server, wherein the fault diagnosis report is generated by the fusion diagnosis server according to the final fault photovoltaic module.
7. The IV & CV fusion diagnostic system of claim 1, wherein the fusion diagnostic server is further configured to, prior to performing diagnostic tasks:
acquiring weather information of the environment where the target photovoltaic power station is located;
judging whether the weather information meets a preset diagnosis task condition or not;
if so, performing the diagnostic task.
8. The IV & CV fusion diagnostic system of claim 7, wherein the fusion diagnostic server is further configured to perform one of the following actions when the weather information does not satisfy the preset diagnostic task condition:
task waiting is carried out, and a diagnosis task is executed when the weather information meets the preset diagnosis task condition within preset time;
and performing fault fusion diagnosis by using the historical IV diagnosis analysis result and the historical photovoltaic module image acquired by the unmanned aerial vehicle.
9. The IV & CV fusion diagnostic system of claim 8, wherein the preset diagnostic task conditions include: wind speeds less than 10m/s and irradiance greater than 600W/m2.
10. The IV & CV fusion diagnostic system of claim 3, wherein the IV diagnostic server communicates with the collection server through an intranet firewall.
CN202310623131.4A 2023-05-29 2023-05-29 IV & CV fusion diagnostic system Pending CN117353658A (en)

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