CN212486462U

CN212486462U - Photovoltaic module EL electroluminescence defect automatic check robot

Info

Publication number: CN212486462U
Application number: CN202020526078.8U
Authority: CN
Inventors: 刘睿
Original assignee: Individual
Current assignee: Beijing Guoxin Power Source Technology Development Co.,Ltd.
Priority date: 2020-04-12
Filing date: 2020-04-12
Publication date: 2021-02-05
Anticipated expiration: 2030-04-12

Abstract

The utility model relates to a photovoltaic module EL electroluminescence defect automated inspection robot, this robot mainly used photovoltaic power plant EL defect detection belongs to the special automatic robot equipment to photovoltaic power plant EL defect detection demand. The photovoltaic module comprises a frame which is bridged on a photovoltaic module, and a traveling mechanism, an EL detection mechanism, an information storage unit, a driving unit, a central control unit, a signal transmission unit and other functional units which are arranged on the frame. Through the walking process of the robot, the robot is controlled to stop at the position in the walking process, EL defect detection is carried out on a target assembly to be detected by driving EL equipment, and therefore comprehensive EL detection of photovoltaic power station photovoltaic assemblies is achieved. The photovoltaic module EL automatic defect detection robot has the advantages of high automation degree, high detection speed, stable detection state, high detection precision, small artificial influence factor, large detection range (capable of completing EL defect detection of the whole photovoltaic power station) and the like. Under the condition that the field of the photovoltaic power station needs, the device even has the capability of detecting EL defects of the whole photovoltaic power station. The robot system uses an independent power supply, the power supply and the control panel adopt an independent box body design, an independent fire prevention function is achieved, and the operation safety and stability capability of the robot system is improved.

Description

Photovoltaic module EL electroluminescence defect automatic check robot

[ technical field ] A method for producing a semiconductor device

The utility model relates to a photovoltaic module EL defect automatic checkout device has especially related to a EL defect automatic checkout robot that is used for photovoltaic power plant to have operated photovoltaic module.

[ background of the invention ]

The photovoltaic module is the root of the electric energy generation of the solar power station, and the generating efficiency and the operating state of the photovoltaic module directly determine the generating capacity of the solar power station. Solar modules and batteries have some material subfissure generated in the production process, and the subfissure needs to be subjected to quality screening before the solar modules and the batteries are delivered out of factories. The screened battery piece still has the subfissure which is allowed by the quality condition. Under the action of long-term illumination, cold and hot circulation, air and water vapor etching, long-term shielding and other conditions, the hidden cracks of the photovoltaic module are gradually amplified under the action of thermal stress and environmental stress. When the hidden crack is in a controllable range, the integral operation capacity of the photovoltaic power station is not influenced; however, with the long-term accumulation of the temperature, the humidity and the irradiation conditions, the hidden crack defects can be amplified, so that the overall power generation capacity of the photovoltaic power station is influenced, data statistics is provided, and the hidden crack effect of unqualified components can cause the power generation loss of the photovoltaic power station by more than 20%; the serious condition can even lead to the photovoltaic power plant because of local overheat produces the conflagration, threatens the safety in production of whole photovoltaic power plant. Therefore, detection of defects in photovoltaic power plant EL is an important method for detecting and controlling the above-mentioned subfissure. Meanwhile, the method is an important method for guaranteeing the power generation capacity and the safe operation capacity of the photovoltaic power station.

The main principle of the photovoltaic power station EL defect detection is that a certain current is applied to an external power supply of a component to be detected, so that a battery piece on the component emits light; if the cell has more cracks, dark stripes directly related to the cracks are formed on the light-emitting surface. And then, carrying out high-definition photographing on the light-emitting component by using an EL special camera, identifying the shape and size of the dark stripes by using an optical method, and judging the qualified condition of the photovoltaic cell. Generally, in the industry, the detection of EL defects of a photovoltaic power station in operation is carried out on the frequency of annual detection; the detection frequency is high, and the detection requirement is high.

The traditional photovoltaic power station EL defect detection is mainly carried out in the following modes: firstly, after a darkroom (completely opaque) is built above a detected assembly in the daytime, an EL camera is manually used for photographing above the assembly; however, the method can seriously affect the operation safety of the photovoltaic power station and greatly affect the power generation capacity of the photovoltaic power station; and secondly, manually taking a picture above the detected component at night. The two methods can cause the defects of large detection result error, poor result consistency, poor environmental adaptability and the like of the detection result caused by uncertain factors of equipment use habits, angle control, position determination and the like of equipment users in the photographing process. In particular for different environmental conditions, such as: the large ground power station, the large water surface power station, the remote power station and the like have the problems of severe working environment of workers, large detection workload, clumsy detection method, high manual detection difficulty and the like. Therefore, the EL defect detection widely used at present can only realize a "spot inspection" method, and the detection coverage is extremely limited (the spot inspection rate for a large photovoltaic power station is only 0.15% of all the components used in the photovoltaic power station at present).

Aiming at the problems, the invention aims to design and manufacture the automatic detection robot for the EL (electroluminescence) defects of the photovoltaic module, and the robot has the advantages of self power supply, intelligent control, high automation degree, high detection speed, stable detection state, high detection precision, small artificial influence factor, large detection range and the like. Meanwhile, the robot system can also be combined with a photovoltaic module cleaning robot, and after the cleaning of the modules is completed, the photographing and the recognition of the EL defects of the modules are completed.

The detection equipment for automatically identifying and photographing the EL defects of the photovoltaic module of the photovoltaic power station (which is manual field detection and photographing at present) is not disclosed at present.

Therefore, the automatic equipment can improve the overall detection capability of the photovoltaic power station and the safe operation capability of the photovoltaic power station. Meanwhile, the defect of the EL can be effectively identified in time by using the equipment, and particularly, the defect identification technology which can effectively cover all used components of the photovoltaic power station greatly improves the fault prediction, fault diagnosis and elimination capabilities of the photovoltaic power station, so that the overall power generation capacity and the profitability of the photovoltaic power station are improved.

[ summary of the invention ]

The invention aims to provide a photovoltaic module EL defect automatic detection robot, which carries out all-around EL defect detection on a module on the site of a photovoltaic power station through an EL detection device. The robot is mainly suggested to work at night, and due to the strong automation capability, the purposes of unmanned field operation at night and detection can be achieved under the condition of manually setting parameters. The robot is high in working efficiency, greatly reduces labor cost, effectively improves EL defect detection efficiency and accuracy of components of the whole photovoltaic power station, and further achieves the capability of improving overall safety and stable operation of the photovoltaic power station.

The technical scheme of the invention is as follows: a full-automatic intelligent photovoltaic module EL defect detection robot. The structure of the device comprises a supporting frame, a driving unit, a central control unit, a signal transmission unit, a guide rail, a driving wheel, a driven wheel, an EL defect detection workbench, an EL defect detection supporting structure, an EL defect transverse pushing device and a driving structure thereof, a battery pack and a control system integrated circuit sealing assembly. The leading wheel divide into two sets ofly, and a set ofly is on photovoltaic panel side track, and another group is on photovoltaic panel forward track, in order to prevent to destroy photovoltaic module, and the leading wheel all moves on the robot is from taking the slide rail. Each power unit comprises a support, a bearing, a linear motor, a coupler, a wheel shaft, a driving wheel and a driven wheel. The design of the driving wheel and the driven wheel ensures that the motion of the whole robot is kept stable. The forward driving wheel moves above the track under the driving of the linear motor, and meanwhile, the propelling distance of the forward guide wheel can be accurately controlled according to the driving motor. The side guide wheels play a role in guiding and supporting, are jointly arranged on the bottom framework of the supporting frame, and can adjust the relative distance between the wheels of the same group. The EL defect detection platform is fixed on the longitudinal support rod, two ends of the support rod are connected to a bearing sleeve with internal threads through universal joints, and the inner ring of the bearing sleeve is provided with a self-driven motor; the inner ring of the sleeve with the internal thread is screwed with the thread against the threaded rod. When the motor is driven to drive the bearing, the EL defect detection platform can be supported along the direction vertical to the surface of the component. The other group of transmission rods are arranged along the transverse direction of the robot and are connected with the EL defect detection platform and the driving motor; when the transverse driving motor is driven, the EL detection platform can be pushed out transversely, so that the EL detection platform can be vertically aligned with the surface of the photovoltaic assembly. Due to the technical requirement of EL defect detection, an EL camera (namely the EL detection platform of the invention) must be vertical to the surface of a photovoltaic module in the photographing process, and the distance of the vertical line is not less than 600 mm; the detectable range of the EL camera is the range of the components covered by the cone with the vertex angle of 60 degrees. Therefore, according to the detection requirement, the EL defect detection platform can be automatically pushed along the longitudinal direction, and the EL defect detection platform can be aligned to the photovoltaic cell to be detected in the vertical direction of the component through the walking of the robot along the transverse direction of the component and the setting and accurate positioning of the position of the longitudinal direction.

The central control unit in the technical scheme of the invention is arranged in the middle of the frame, detects the mechanism signal and carries out corresponding processing, and can control the positive and negative rotation and the rotating speed of each driving motor. The intelligent robot carries a photovoltaic module and is a charging power supply of the robot system. The battery system is installed below the central control system and is installed in an independent box body, so that the battery leakage pollution is effectively prevented, and meanwhile, the battery pack is effectively prevented from being transferred and diffused to other parts of the robot due to the fact that the battery pack can be ignited automatically. The battery system can adopt but not limited to lithium batteries, lead-acid batteries and lead-carbon batteries to provide power for the whole system. The surface of the robot is provided with a digital display system, so that the working personnel can directly read the working state data of the robot. The robot is also internally provided with an active communication module which can adopt but is not limited to a 4G communication module, a 5G communication module and a wifi communication module, so that the robot can conveniently receive operation control parameters of the robot and feed back data and sampling results.

Through highly automated drive and location ability, the accurate photovoltaic module of waiting to examine carries out EL defect detection for EL defect detection has the advantage that the rate of accuracy is high, detection efficiency is high and detection range is wide.

The driving wheel and the driven wheel can move in the groove of the section steel frame and are clamped at proper positions, and therefore the relative distance between the wheels in the same group can be adjusted, and the requirements of different plate widths can be met.

The power unit adopts a direct current servo motor. Other types of motors may be used depending on speed and control requirements.

The driving wheel and the driven wheel can be made of nylon or polyurethane, but not limited to nylon or polyurethane. The wheel frame is made of various high-hardness alloys.

The platform is fixed on a supporting rod with external threads.

The supporting rod with the external thread is in threaded connection with the sleeve with the internal thread.

The two ends of the supporting rod with the external threads are driven by a direct current servo motor.

The direct-current servo motor can arrange forward rotation and reverse rotation according to the requirement of the platform position.

The material of the supporting rod with the external thread and the sleeve with the internal thread can be aluminum profile, nylon or polyurethane without limitation.

The transverse transmission rod can output displacement in the transverse direction.

The tail end of the transverse transmission rod is connected with a direct current servo motor and is used for controlling the transverse pushing distance of the platform.

The position of the platform in the working process can be accurately controlled through the position control direct current servo motor.

The working platform can be a small platform or a large platform as shown in the figure; one or more cameras for EL detection are fixed above the platform.

The EL detection mechanism adopts a standard EL defect detection camera, and can form an array distributed in the longitudinal direction of the frame.

The structural aluminum profile can be adopted as well as the profile steel adopted by the integral structural frame, and the shape can be properly changed according to different positions.

The power source in the power system can adopt, but is not limited to, lithium batteries, lead-acid batteries and lead-carbon batteries.

The battery and the central control panel in the power system are required to be installed in a well-sealed box body environment, the battery box and the central control panel box are of cuboid structures and are fixed in the profile groove through bolts, the top of the box body is sealed through an O ring, and an aviation plug is installed on the side wall of the box body to lead out an electric wire.

The charging device of the battery is a solar panel positioned on the surface of the upper cover plate of the robot.

The upper part of the cover plate is provided with a transparent observation window.

The central control system can receive and process the signals transmitted by the detection mechanism, and all information is transmitted through a wireless network.

After the scheme is adopted, when the robot for detecting the EL defects of the full-automatic intelligent photovoltaic module works, the remote control starting knob is pressed, a starting instruction can be input through a wireless signal, the central control unit receives a signal and then controls the linear motor to start, the power unit drives the frame to move forward, the main driving motor and the position control motor are controlled to rotate, the robot transversely moves to different positions of an area to be detected, and the photographing and the detection of the EL defects of the module are realized. In the EL defect detection process, the EL defect detection device can detect whether the photovoltaic module panel has serious defects such as cracks, hidden cracks and the like, and the detection position positioning precision is less than 1 cm; the photographing size precision is better than 1cm, and the detection precision is very high. In the detection process, the EL defect detection platform is upwards supported under the action of the supporting rod, and the supporting height is required to be more than or equal to 600 mm; meanwhile, the transverse pushing device pushes the EL defect detection platform transversely, and the pushing distance is not less than 300 mm. The whole supported working part of the EL detection platform can be subjected to position control movement along the longitudinal direction during the working process. In this way, the detection process can realize the moving positioning of the device along the length direction of the component and can also realize the moving positioning along the longitudinal direction. After the work is finished, the whole working platform can be retracted to the initial position along the reverse process of the process so as to recover the initial state of the whole equipment. Of course, if a large platform is used, multiple EL detection devices can be simultaneously mounted on the platform, and if the device detection coverage is sufficient to cover the entire assembly, the actual detection process can reduce the use of longitudinal positioning. The method has the advantages that the detection speed is higher, but the defect of large number of detection equipment is brought; the actual use process of the equipment can be actually determined according to the field situation and is not limited. When the robot runs to the edge of the photovoltaic module, the sensor detects that the photovoltaic panel is not arranged within a certain distance, the central control system controls the linear motor to stop, reverse and start, and then the whole frame is driven to return. The starting, stopping and speed of the linear motor can be controlled through remote control in the whole process, the positioning accuracy and the sampling quantity of the EL detection process are guaranteed, EL subfissure on the surface of the photovoltaic assembly is detected, the position and the degree of related defects are determined, and timely remediation is carried out. Meanwhile, the detected data and the detected pictures can be directly transmitted back to a central control room of the power station through a remote wireless data network and also can be remotely transmitted to an operation and maintenance center of an operator, so that the separation of personnel data analysis and field detection is realized, and the automation capacity of the field detection is improved. Compared with the existing artificial EL defect detection and other related methods, the full-automatic intelligent photovoltaic module EL defect detection robot has the advantages of full automation, energy conservation, intelligent control, large detection area, high detection speed, wide detection range and the like, and the requirements on field detection personnel are greatly reduced; meanwhile, the full-automatic intelligent photovoltaic module EL defect detection robot reduces the requirements on the operating environment of a photovoltaic power station, so that the basic requirements of a mountain photovoltaic power station, a water surface photovoltaic power station, a greenhouse photovoltaic power station and the like are greatly reduced; in addition, the problem that a photovoltaic module of the photovoltaic power station is difficult to clean and detect due to severe environments such as freezing in winter is solved, and the overall operation capacity of the photovoltaic power station is effectively improved.

Drawings

FIG. 1 is a view showing the structure of an integral cap of the present invention.

Fig. 2 is a schematic view of the present invention when the working platform is not in operation and is placed inside or on the equipment.

Fig. 3 is a schematic view of the present invention with the work platform being raised during operation.

Fig. 4 is a schematic view of the present invention with the work platform being raised and pushed out.

Detailed Description

The technical scheme of the invention is described in detail in the following with reference to the accompanying drawings.

The invention aims to provide a full-automatic intelligent photovoltaic module EL defect detection robot, which is arranged on a solar photovoltaic panel array as shown in figures 1, 2 and 3 and comprises an EL detection working platform 1, an EL working platform supporting rod 2, a driven wheel 3, a driving wheel 4, a charging solar panel 5, a transverse push rod 6, a transverse push rod motor 7, an observation display panel 8, an EL defect detection robot main body 9, a supporting sleeve driving motor 10 and a supporting sleeve 11. As shown in fig. 3, the slide rail 12 is pushed laterally.

The main body 9 of the EL defect detection robot is responsible for supporting the whole robot and adopts section bars. The power mechanism comprises a driven wheel 3 and a driving wheel 4 and is responsible for the device to move along the direction of the assembly string; the driving wheel and the driven wheel are fixed on the flexible coupler through key connection, and the other side of the coupler is connected with the linear motor. The distance between the driving wheels can be adjusted, and the distance between the driven wheels can also be adjusted. The equipment working mechanism comprises an EL detection working platform 1, an EL working platform supporting rod 2, a transverse push rod 6, a transverse push rod motor 7, a supporting sleeve driving motor 10, a supporting sleeve 11 and a transverse propelling slide rail 12. After the equipment receives the working instruction, the main working part of the equipment is pushed to a working position set relative to the position of the robot. Work platform 1 is located the bracing piece top for fixed and connect special EL and detect and use the camera, provide the signal control connection interface of shooing for the camera simultaneously.

In operation, the EL defect inspection camera should be first fixed on the EL inspection platform 1 to ensure the signal processing lines are connected without errors. When the external remote controller sends a starting signal or a remote control signal, the central control system receives the signal, processes the signal and sends a signal to the driving motor, the movement of the driving wheel 4 drives the whole supporting frame to move, and the driven wheel 3 moves. Meanwhile, the driving motor 10 drives the supporting sleeve 11, so that the EL detection platform 1 is lifted; the transverse wire push rod motor 7 operates to drive the transverse push rod to move transversely, and the whole working part is pushed out transversely to the working position. And the equipment stops walking along the group string direction with the certain distance of about 600mm of walking of the equipment. The EL platform is walked about vertically, and every walking 600mm, the sample is taken a picture, and the photo number of shooing can be 1, also can be many. The system records the position information and stores the position information in a same position with the photo information. After confirming that the longitudinally sampled photograph is complete, the device continues to travel to the next location (i.e., the travel distance continues to be about 600mm, or the travel distance can be programmed to reach the designated location), and then EL sampling can continue. If a large platform is used, a plurality of EL detection devices are fixed on the large platform, the longitudinal moving distance and the longitudinal moving times of the supporting frame can be reduced, and the sampling speed can be greatly improved. The whole system can realize the full-automatic detection function of the EL defects of the photovoltaic power station components.

The invention can be independently used as an independent component EL defect detection device, and can also be arranged on an automatic operation and maintenance robot for cleaning and detecting the photovoltaic component, which is described in the patent ZL 2016206863444.7. The complete automatic detection device described in the two patent contents can completely realize component cleaning, infrared hot spot detection and component EL defect detection of a photovoltaic power station. The on-site operation safety and stability of the photovoltaic power station are greatly improved, the power generation performance and the power generation reliability of the photovoltaic power station are improved, and the operation income capability of the photovoltaic power station is greatly improved.

In addition to the above embodiments, the present invention may have other embodiments. All the techniques using equivalent substitutes or equivalent transformations fall within the scope of the claims of the present invention.

Claims

1. A robot for automatically detecting EL (electroluminescence) defects of a photovoltaic module structurally comprises an EL working platform, an EL defect detection platform, a connecting motor, a power unit, a supporting frame, a driving unit, a central control unit, a signal transmission unit, a guide rail, a driving wheel and a driven wheel, the EL detection working platform, an EL longitudinal supporting and adjusting mechanism, a platform supporting structure, a platform transverse pushing mechanism and a guide rail thereof, an EL transverse pushing mechanism and a guide rail thereof, a battery pack and control system integrated circuit and a self-powered supporting photovoltaic module; the guide wheels are divided into two groups, one group is arranged on the track on the side face of the photovoltaic panel, the other group is arranged on the positive track of the photovoltaic panel, and in order to prevent the photovoltaic module from being damaged, the guide wheels run on the self-carried slide rail of the robot and can be occluded on the lateral edge of the polycrystalline cell panel; each driving unit comprises a bracket, a bearing, a direct current servo motor, a coupler, a wheel shaft, a driving wheel and a driven wheel, and the driving wheel and the driven wheel are designed to ensure that the whole robot moves stably; the positive driving wheel moves above the track under the driving of the linear motor, the side guide wheel plays a role in guiding and supporting, the positive driving wheel and the side guide wheel are jointly arranged on a bottom frame of the supporting frame, and the relative distance between the wheels of the same group can be adjusted; the EL detection platform is arranged in the middle of the EL longitudinal supporting and adjusting mechanism, and the supporting bracket can be lifted up along the direction vertical to the assembly through the driving motor; the transverse pushing device comprises a driving motor, a transverse pushing push rod and a transverse guide rail, and the transverse pushing device can push out the whole EL detection platform along the transverse guide rail under the action of the driving motor; the central control unit is arranged in the middle of the frame, detects the mechanism signal and carries out corresponding processing, and can also control the positive and negative rotation and the rotating speed of the motor; the battery component is arranged above the central control system and can provide self-powered charging for the whole equipment; the equipment carries a battery energy storage system and is used as a power supply of the equipment, and the energy storage can adopt a lithium battery and a lead-acid battery to provide power for the whole system.

2. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module according to claim 1, wherein: the driving wheel and the driven wheel can move in the groove of the section steel frame and are clamped at proper positions, and therefore the relative distance between the wheels in the same group can be adjusted, and the requirements of different plate widths can be met.

3. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module according to claim 1, wherein: the power unit adopts a linear motor.

4. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module according to claim 1, wherein: the driving wheel and the driven wheel are made of nylon or polyurethane; or metal hub jacket nylon or polyurethane.

5. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module according to claim 1, wherein: the EL defect detection platform adopts an EL special image camera.

6. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module as claimed in claim 5, wherein: the EL defect detection platform needs to enable the EL special image camera to be adjusted to the height or angle required by the test through the EL longitudinal supporting and adjusting mechanism and the EL detection working platform.

7. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module as claimed in claim 6, wherein: the EL longitudinal supporting and adjusting mechanism and the EL detection working platform can use but are not limited to aluminum profiles and PVC materials.

8. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module as claimed in claim 6, wherein: the EL longitudinal supporting and adjusting mechanism can be automatically adjusted to the height required by detection work through the worm and the connecting motor thereof, and the height range of the EL longitudinal supporting and adjusting mechanism is between 0mm and 2500 mm.

9. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module as claimed in claim 6, wherein: the EL longitudinal supporting and adjusting mechanism can automatically adjust the angle required by detection work through the worm and the connecting motor thereof, the included angle is the angle between the supporting rods of the two supporting frames of the EL working platform, and the angle range is between 0 and 120 degrees.

10. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module as claimed in claim 6, wherein: the EL detection working platform is arranged in the middle of the EL longitudinal support and condition mechanism.

11. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module as claimed in claim 8, wherein: the connecting motor adopts a linear motor.

12. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module according to claim 1, wherein: the EL defect detection platform can be pushed out and retracted along the direction of the guide rail by a transverse pushing-out mechanism.

13. The robot for automatically detecting the EL (electro-luminescence) defects of the photovoltaic module as claimed in claim 12, wherein: the EL lateral pushing mechanism and the guide rail thereof can be made of, but not limited to, aluminum profiles and PVC materials.

14. The robot for automatically detecting the EL (electro-luminescence) defects of the photovoltaic module as claimed in claim 13, wherein: the connecting motor adopts a linear motor.

15. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module according to claim 1, wherein: the power supply in the power system can adopt lithium batteries, lead-acid batteries and the like, so that the power supply is independent of a photovoltaic power station power grid, and the overall interference and influence of the charging and discharging processes of equipment on the power grid are reduced.

16. The robot for automatically detecting the EL (electro-luminescence) defects of the photovoltaic module as claimed in claim 15, wherein: the battery and the central control panel in the power system need to be installed in a well-sealed independent box body environment to achieve the waterproof and dustproof effects, the battery box and the central control panel box are of cuboid independent structures and are fixed in a section groove through bolts, the top of the box body is sealed through an O ring, and an aviation plug is installed on the side wall of the box body to lead out an electric wire.

17. The robot for automatically detecting the EL (electroluminescence) defects of the photovoltaic module according to claim 1, wherein: the charging device of the battery is a solar panel positioned on the surface of the upper cover plate of the robot.

18. The robot for automatically detecting the EL electroluminescence defect of the photovoltaic module as claimed in claim 17, wherein: the upper part of the cover plate is provided with a transparent observation window.