Portable photovoltaic module EL image shooting and defect identification system

Abstract

The utility model discloses a portable photovoltaic module EL image shooting and defect identification system, which comprises a photovoltaic module power supply system, a detection control system and an image defect identification system, and is characterized in that the photovoltaic module power supply system is respectively connected with a photovoltaic module and the detection control system, the detection control system is connected with an EL image acquisition system, and the image defect identification system is connected with the detection control system. The EL image acquisition system is connected with an image defect identification system, the EL image acquisition system comprises a portable support device and an EL image shooting device, and the EL image acquisition system and the image defect identification system are utilized, so that the problems that the EL image shooting operation is difficult at night, and repeated shooting and missing shooting of images are likely to occur are solved; and the EL image shooting equipment is convenient to carry and simple to operate, and meanwhile, the shooting quality and accuracy are improved.

Description

Technical Field

[0001] The present application relates to the technical field of photovoltaic power station on-site detection, and in particular to a portable photovoltaic module EL image capture and defect recognition system. Background Art

[0002] As the core component of the photovoltaic system, the performance of solar cell modules is directly related to the power generation efficiency and stability of the entire system. However, due to the influence of various factors in the actual environment, photovoltaic modules are prone to internal invisible defects. These defects can cause the entire cell to fail, affect the output power of the module, and then reduce the power generation efficiency of the photovoltaic power station, resulting in economic losses. If the modules with invisible defects are not replaced in time, it may cause a fire and threaten the life and property safety of the surrounding residents. Therefore, in order to ensure the normal operation of the photovoltaic power station, regular inspection and maintenance are required, and intelligent technology should be used to detect invisible defects.

[0003] Some solutions in the existing technology have the problems of high equipment costs, difficult shooting operations, easy omissions and duplicate shooting, unclear pictures, etc., and then manual marking of image defects and counting of defect types and quantities are required, which is inefficient and prone to missed or wrong judgments.

[0004] Therefore, a portable photovoltaic module inspection device combining EL image shooting and defect recognition system is needed to improve the detection accuracy, reduce the complexity of shooting operation, reduce labor costs, and realize automatic and intelligent defect detection. The above needs have prompted the proposal of the present invention, which aims to provide a more advanced and convenient photovoltaic module quality inspection solution for the solar industry.

[0005] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the application and should not be regarded as an admission or any form of suggestion that the information constitutes the prior art already known to ordinary technicians in the field. Summary of the invention

[0006] The purpose of this application is to provide a portable photovoltaic module EL image capture and defect recognition system, which realizes the automation of photovoltaic module EL detection. By using the EL image acquisition system and the image defect recognition system, the problems of difficult operation of night EL image capture, easy image duplication and missed images, etc. are solved. The equipment is portable and easy to operate, and adopts an intelligent defect recognition system to improve the detection efficiency.

[0007] In order to achieve the above objectives, this application is implemented by adopting the following technical solutions:

[0008] A portable photovoltaic module EL image shooting and defect recognition system includes a photovoltaic module power supply system, a detection control system and an image defect recognition system, wherein the photovoltaic module power supply system is respectively connected to the photovoltaic module and the detection control system, the detection control system is connected to the EL image acquisition system, the EL image acquisition system is connected to the image defect recognition system, the EL image acquisition system includes a portable bracket device and an EL image shooting device, and the EL image shooting device is installed on the portable bracket device.

[0009] Optionally, the detection and control system includes a first microcontroller, a second microcontroller, a third microcontroller, a communication device, a tablet computer, a barcode entry device, and a cloud platform. The communication device communicates with the tablet computer via Wi-Fi, and the communication device is wirelessly connected to the first microcontroller, the second microcontroller, and the third microcontroller via a Zigbee module communication protocol. The first microcontroller, the second microcontroller, and the third microcontroller control the photovoltaic component power supply system and the EL image acquisition system, and the barcode entry device uses the tablet computer's built-in camera to scan the photovoltaic component barcode.

[0010] Optionally, the photovoltaic module power supply system includes a DC power supply device, a relay and a relay power supply device, the relay includes a relay coil and a relay switch, one end of the relay coil is connected to the relay power supply device, and the other end is connected to a first microcontroller, the relay switch has a group of contacts, the positive and negative poles of the DC power supply device are respectively connected to the relay contacts, and the first microcontroller is connected to a communication device.

[0011] Optionally, the image defect recognition system includes a computer device.

[0012] Optionally, the portable bracket device includes a tripod, a central axis, a transverse axis, a first locking mechanism and an angle adjustment mechanism, the central axis is connected to the tripod, the central axis is connected to the transverse axis via the angle adjustment mechanism, and the first locking mechanism is installed on the tripod leg.

[0013] Optionally, the angle adjustment mechanism includes a motor drive module, a power supply module and a mechanical structure, the motor drive module includes a motor, a motor driver, an encoder and a second microcontroller, the motor is connected to the motor driver, the motor driver is connected to the encoder, the motor driver and the encoder are connected to the second microcontroller, the motor driver receives a control signal from the second microcontroller to drive the motor to rotate, the power supply module is connected to the motor drive module, the mechanical structure includes a rotating shaft, a first bearing, a second bearing, a support seat, a worm gear mechanism and a bushing, the bushing and the worm wheel are integrated, the rotating shaft is connected to the support seat through the second bearing and the first end cover, the worm wheel is connected to the rotating shaft, the worm is connected to the support seat through the first bearing and the second end cover, the worm is connected to the motor drive module, the transverse axis is connected to the worm gear mechanism through the bushing, and the bushing and the transverse axis are locked by a second locking mechanism.

[0014] Optionally, the EL image capturing device includes an EL detection camera, a spherical gimbal, a wireless remote control shooting device and an image wireless transmission device. A gimbal fixed base is provided between the lower end of the spherical gimbal and the upper end of the central axis. A camera fixed base is provided at the upper end of the spherical gimbal. The camera fixed base is connected to the EL detection camera. The EL detection camera adopts a high-resolution micro single camera. The image wireless transmission device is connected to the EL detection camera. The image captured by the EL detection camera is transmitted to a tablet computer via the image wireless transmission device. The wireless remote control shooting device is installed on the camera hot shoe.

[0015] Optionally, the spherical gimbal includes a power supply device, a driving device and an angle sensor, and the power supply device, driving device and angle sensor are installed in the spherical gimbal, the driving device is connected to the power supply device, the driving device includes a third microcontroller, a motor driver and a motor, the third microcontroller is connected to the motor driver and the angle sensor, and the angle sensor is connected to the gimbal rotation axis.

[0016] Compared with the prior art, the present invention has the following beneficial effects:

[0017] The EL image acquisition system and image defect recognition system are used to solve the problems of difficult nighttime EL image shooting, repeated shooting, and missed shooting.

[0018] The EL inspection camera is modified with a high-resolution micro-single camera, which reduces the weight of the camera and makes it easier to install at the top of the horizontal axis without causing too much impact on the balance of the bracket structure. The horizontal axis designed for the portable bracket equipment has the function of automatically adjusting the angle, which effectively avoids problems such as unclear images and small defects of the battery cells in the distance that are difficult to see clearly. The equipment is portable and easy to operate.

[0019] There is no need to manually rename images as barcode data, which further simplifies the operation steps. The captured images are placed in the corresponding folders in order, which is convenient for viewing images and positioning analysis. The distribution and location of abnormal components can be browsed on the orthophoto, which is beneficial for inspection personnel to locate and review the abnormal components on site. AI automatic defect recognition technology is used to automatically identify the defect type and location, and manual secondary confirmation of abnormal component defects is performed. Normal components do not need secondary confirmation, which achieves more accurate defect reporting, improves defect detection efficiency, and reduces manual processing time. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 : A schematic diagram of the structure of a portable photovoltaic module EL image capture and defect recognition system provided by the utility model;

[0022] Figure 2 : A schematic diagram of the structure of an EL image acquisition system of a portable photovoltaic module EL image shooting and defect recognition system provided by the utility model;

[0023] Figure 3 : A schematic diagram of the angle adjustment mechanism structure of a portable photovoltaic module EL image capture and defect recognition system provided by the present invention.

[0024] Description of reference numerals:

[0025] 1. Tripod; 2. First locking mechanism; 3. Middle axis; 4. Angle adjustment mechanism; 5. Horizontal axis; 6. Ball head; 7. EL detection camera; 8. Head fixing base; 9. Camera fixing base; 10. Support seat; 11. First end cover; 12. Second locking mechanism; 13. Bushing; 14. Worm gear; 15. Motor drive module; 16. First bearing; 17. Worm; 18. Second end cover; 19. Rotating axis; 20. Second bearing. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0027] Embodiment 1:

[0028] A portable photovoltaic module EL image capture and defect recognition system, such as Figure 1 As shown, it includes a photovoltaic module power supply system, a detection control system and an image defect recognition system. The photovoltaic module power supply system is respectively connected to the photovoltaic module and the detection control system. The detection control system is connected to the EL image acquisition system. The EL image acquisition system is connected to the image defect recognition system. The EL image acquisition system includes a portable bracket device and an EL image shooting device. The EL image shooting device is installed on the portable bracket device. The photovoltaic module power supply system and the EL image acquisition system are controlled by the detection control system, which solves the problem of difficulty in nighttime EL image shooting operation. The photovoltaic module power supply system completes the synchronous power-on of multiple components, reducing the difficulty of power-on and manual operation. The EL image acquisition system shoots the image of the photovoltaic module and transmits the captured image to the detection control system and the image defect recognition system. The detection control system saves the captured image and ensures that each shot captures two complete photovoltaic modules that are not repeated with the previous shot. After the shooting is completed, the corresponding string folder is selected for saving. The image defect recognition system processes the captured image and divides and corrects the complete photovoltaic module to obtain a set of all components without duplication. The image defect recognition system combines AI automatic defect recognition technology with manual defect recognition to achieve more accurate defect reports. The portable bracket device makes the EL image acquisition system more convenient to carry and adjust.

[0029] Among them, AI automatic defect recognition technology adopts yolov8 target detection algorithm, which is an existing recognition detection algorithm, saved in the practical computer, inputs a large number of collected photovoltaic EL images, and yolov8 target detection algorithm will output the detected defect area and type.

[0030] The detection and control system includes a first microcontroller, a first microcontroller, a second microcontroller, a third microcontroller, a communication device, a tablet computer, a barcode entry device, and a cloud platform. The communication device communicates with the tablet computer via Wi-Fi, and the communication device is wirelessly connected with multiple first microcontrollers, second microcontrollers, and third microcontrollers via the Zigbee module communication protocol. The first microcontroller, the second microcontroller, and the third microcontroller control the photovoltaic component power supply system and the EL image acquisition system. The barcode entry device uses the tablet computer's built-in camera to scan the photovoltaic component barcode, and automatically saves the barcode in an Excel table according to the shooting order of the components in the string. The cloud platform is used to save the image and barcode data uploaded by the tablet computer, which is helpful for the subsequent image defect recognition system to import the image and barcode data.

[0031] The photovoltaic module power supply system includes a DC power supply device, a relay and a relay power supply device. The relay includes a relay coil and a relay switch. One end of the relay coil is connected to the relay power supply device, and the other end is connected to the first microcontroller. The relay switch has a set of contacts. The positive and negative poles of the DC power supply device are respectively connected to the relay contacts. The first microcontroller is connected to the communication device. The photovoltaic module power supply system is a string-type mobile power supply system. The power supply is easy to carry and can complete string-type power-on. In order to avoid the current waste of powering multiple components, combined with the shooting method of the EL image acquisition system, the method of powering on two components in series is adopted to shoot two components. The power supply is controlled by a tablet computer to reversely supply DC power to the photovoltaic module, which reduces the difficulty of powering on and manual operation, making EL detection more convenient. It can be matched with the detection camera 7 to perform high-definition multi-component imaging and improve the detection efficiency. The first microcontroller adopts the PIC microcontroller PIC16F877A, and the relay is a DC electromagnetic relay.

[0032] The image defect recognition system includes a computer device, which is a portable laptop computer. Its models include: system is Windows 11, CPU is Intel 14th generation Cool i9, memory is 32GB, graphics card is RTX 4060, and video memory is 8GB.

[0033] like Figure 2 As shown, the portable bracket device includes a tripod 1, a central axis 3, a transverse axis 5, a first locking mechanism 2 and an angle adjustment mechanism 4. The central axis 3 is connected to the tripod 1, and the central axis 3 is connected to the transverse axis 5 through the angle adjustment mechanism 4. The first locking mechanism 2 is installed on the tripod 1 to fix the telescopic position of the tripod 1. By adjusting the telescopic degree of each tripod 1, the vertical height of the shooting plane can be changed, and at the same time, the device can remain stable under complex outdoor terrain conditions.

[0034] like Figure 3As shown, the angle adjustment mechanism includes a motor drive module 15, a power module and a mechanical structure. The motor drive module 15 includes a motor, a motor driver, an encoder and a second microcontroller. The motor is connected to the motor driver, and the motor driver is connected to the encoder. The motor driver and the encoder are connected to the second microcontroller. The motor driver receives a control signal from the second microcontroller to drive the motor to rotate. The motor model is a 42-type stepper motor, the driver model is a TB6600 stepper motor driver, and the second microcontroller model is an STM32F103C8T6 single-chip microcomputer. The power module is connected to the motor drive module 15. The mechanical structure includes a rotating shaft 19, a first bearing 16, a second bearing 20, a support seat 10, a worm gear 14, a worm 17 mechanism and a sleeve 13, and the sleeve 13 and the worm wheel 14 are integrated with the design, the rotating shaft 19 is connected to the support base 10 through the second bearing 20 and the first end cover 11, the worm wheel 14 is connected to the rotating shaft 19, the worm 17 is connected to the support base 10 through the first bearing 16 and the second end cover 18, the worm 17 is connected to the motor drive module 15, the transverse axis 5 is connected to the worm wheel 14 and worm 17 mechanism through the shaft sleeve 13, the shaft sleeve 13 and the transverse axis 5 are locked by the second locking mechanism 12, the pitch angle adjustment of the EL detection camera 7 and the relative position of the camera can be conveniently realized, and then the camera lens is made nearly parallel to the photovoltaic module by adjusting the spherical gimbal 6, and the photovoltaic modules with different arrangements are inspected and photographed at a close to optimal angle to ensure the quality of the inspection image.

[0035] Embodiment 2:

[0036] The EL image shooting device includes an EL detection camera 7, a spherical pan head 6, a wireless remote control shooting device and an image wireless transmission device. A pan head fixing base 8 is provided between the lower end of the spherical pan head 6 and the upper end of the central axis 3. A camera fixing base 9 is provided at the upper end of the spherical pan head 6. The camera fixing base 9 is connected to the EL detection camera 7. The EL detection camera 7 adopts a high-resolution micro single camera. The image wireless transmission device is connected to the EL detection camera 7. The image shot by the EL detection camera 7 is transmitted to the tablet computer via the image wireless transmission device. The wireless remote control shooting device is installed on the camera hot shoe.

[0037] The EL detection camera 7 is modified with a high-resolution micro single camera, which reduces the weight of the camera and is more convenient to install at the top of the horizontal axis 5 without causing excessive impact on the balance of the bracket structure.

[0038] The spherical gimbal 6 includes a power supply device, a driving device and an angle sensor, which are installed in the spherical gimbal 6. The driving device is connected to the power supply device. The driving device includes a third microcontroller, a motor driver and a motor. The third microcontroller is connected to the motor driver and the angle sensor. The angle sensor is connected to the gimbal rotating shaft 19, wherein the power supply device model is a 42-type stepper motor, the driving device model is a TB6600 stepper motor driver, and the third microcontroller model is an STM32F103C8T6 single-chip microcomputer.

[0039] The operator uses a tablet computer to control the third microcontroller through a communication device to achieve angle adjustment of the horizontal axis 5 and rotation adjustment of the spherical head 6. At the same time, the tablet computer can also control the camera shooting through a wireless remote control shooting device and an image wireless transmission device, and store the shot images.

[0040] The utility model realizes the unified regulation of the photovoltaic module power supply system and the EL image acquisition system through the detection and control system, realizes the coordinated work between the devices under different conditions, and the communication device is responsible for centralized control and management of communication, thereby simplifying the direct communication between the tablet computer and each device.

[0041] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the drawings, and are only used to explain the relative position relationship, movement, etc. between the components in a certain posture. If the specific posture changes, the directional indication will also change accordingly. It is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present application.

[0042] In addition, the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the feature. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0043] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood by specific circumstances.

[0044] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A portable photovoltaic module EL image capture and defect recognition system, characterized by: It includes a photovoltaic module power supply system, a detection control system and an image defect recognition system. The photovoltaic module power supply system is respectively connected to the photovoltaic module and the detection control system. The detection control system is connected to an EL image acquisition system. The EL image acquisition system is connected to an image defect recognition system. The EL image acquisition system includes a portable bracket device and an EL image shooting device. The EL image shooting device is installed on the portable bracket device.

2. The portable photovoltaic module EL image capture and defect recognition system according to claim 1, characterized in that: The detection and control system includes a first microcontroller, a second microcontroller, a third microcontroller, a communication device, a tablet computer, a barcode entry device, and a cloud platform. The communication device communicates with the tablet computer via Wi-Fi, and the communication device is wirelessly connected to the first microcontroller, the second microcontroller, and the third microcontroller via the Zigbee module communication protocol. The first microcontroller, the second microcontroller, and the third microcontroller receive signals from the communication device and output control signals to the photovoltaic component power supply system and the EL image acquisition system. The barcode entry device uses the tablet computer's built-in camera to scan the photovoltaic component barcode.

3. The portable photovoltaic module EL image capture and defect recognition system according to claim 2, characterized in that: The photovoltaic module power supply system includes a DC power supply device, a relay and a relay power supply device. The relay includes a relay coil and a relay switch. One end of the relay coil is connected to the relay power supply device, and the other end is connected to the first microcontroller. The relay switch has a group of contacts. The positive and negative poles of the DC power supply device are respectively connected to the contacts of the relay.

4. The portable photovoltaic module EL image capture and defect recognition system according to claim 1, characterized in that: The image defect recognition system includes a computer device.

5. The portable photovoltaic module EL image capture and defect recognition system according to claim 1, characterized in that: The portable bracket device comprises a tripod, a central axis, a transverse axis, a first locking mechanism and an angle adjustment mechanism. The central axis is connected to the tripod, the central axis is connected to the transverse axis via the angle adjustment mechanism, and the first locking mechanism is installed on the tripod foot rod.

6. The portable photovoltaic module EL image capture and defect recognition system according to claim 5, characterized in that: The angle adjustment mechanism includes a motor drive module, a power supply module and a mechanical structure. The motor drive module includes a motor, a motor driver, an encoder and a second microcontroller. The motor is connected to the motor driver, and the motor driver is connected to the encoder. The motor driver and the encoder are connected to the second microcontroller. The motor driver receives a control signal from the second microcontroller to drive the motor to rotate. The power supply module is connected to the motor drive module. The mechanical structure includes a rotating shaft, a first bearing, a second bearing, a support seat, a worm gear mechanism and a bushing. The bushing and the worm wheel are integrated. The rotating shaft is connected to the support seat through the second bearing and the first end cover. The worm wheel is connected to the rotating shaft. The worm is connected to the support seat through the first bearing and the second end cover. The worm is connected to the motor drive module. The transverse axis is connected to the worm gear mechanism through the bushing. The bushing and the transverse axis are locked by a second locking mechanism.

7. The portable photovoltaic module EL image capture and defect recognition system according to claim 5, characterized in that: The EL image shooting device includes an EL detection camera, a spherical gimbal, a wireless remote control shooting device and an image wireless transmission device. A gimbal fixed base is provided between the lower end of the spherical gimbal and the upper end of the central axis. A camera fixed base is provided at the upper end of the spherical gimbal. The camera fixed base is connected to the EL detection camera. The EL detection camera adopts a high-resolution micro single camera. The image wireless transmission device is connected to the EL detection camera. The image shot by the EL detection camera is transmitted to a tablet computer via the image wireless transmission device. The wireless remote control shooting device is installed on the camera hot shoe.

8. The portable photovoltaic module EL image capture and defect recognition system according to claim 7, characterized in that: The spherical gimbal includes a power supply device, a driving device and an angle sensor, which are installed in the spherical gimbal, the driving device is connected to the power supply device, the driving device includes a third microcontroller, a motor driver and a motor, the third microcontroller is connected to the motor driver and the angle sensor, and the angle sensor is connected to the gimbal rotation axis.

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