CN116388682A - Comprehensive inspection fault defect elimination method and system for unattended photovoltaic power station - Google Patents
Comprehensive inspection fault defect elimination method and system for unattended photovoltaic power station Download PDFInfo
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Abstract
The application relates to the technical field of photovoltaic power generation, in particular to a comprehensive inspection fault elimination method and system for an unattended photovoltaic power station, wherein the method comprises the following steps: periodically acquiring a visible light image and an infrared image of a photovoltaic panel by a camera and an infrared camera module respectively; judging whether the stain and the type of the stain exist on the photovoltaic panel, if the type of the stain is easy to clean, controlling the cleaning robot to clean the stain by the controller, and if the type of the stain is difficult to clean, sending the type of the stain to a remote server and giving an alarm; judging whether the temperature of the photovoltaic panel is abnormal, and if so, sending the obtained temperature data of the photovoltaic panel to a remote server and giving an alarm. By adopting the inspection fault defect eliminating method and system provided by the utility model, the fault development trend is predicted in real time, and sufficient time is reserved for workers to solve the fault, so that the fault components are prevented from influencing the operation of other components.
Description
Technical Field
The application relates to the technical field of photovoltaic power generation, in particular to a comprehensive inspection fault elimination method and system for an unattended photovoltaic power station.
Background
Photovoltaic power plants are power plants that convert solar radiant energy into electrical energy by means of a solar array of cells, known as solar photovoltaic power plants. The photovoltaic panel is used as a power generation component of the most core of the photovoltaic power station, and whether the photovoltaic panel is abnormal or not directly influences the generated energy and the income of the whole photovoltaic power station, and even influences the safety of the whole photovoltaic power station. There are many problems in the practical application of photovoltaic panels, which may be seen by visual inspection, including: EVA yellowing, solar cell discoloration, solar cell breakage, solar cell displacement, encapsulation with bubbles, back plate discoloration, wrinkling, bubbling, cracking, frame deformation and cracking,
junction box falling off, visible hot spots, photovoltaic glass breakage and the like; when detecting a photovoltaic panel by an infrared thermal imaging device, light
Problems that may exist with the photovoltaic module include: hot spots and abnormal fever; by the electroluminescent detection of the photovoltaic panel, problems that may exist with solar cells in the photovoltaic panel include: hidden cracks, fragments, unfilled corners, black flakes, broken grids, cold joints and the like.
In order to ensure long-term reliable and stable operation of the photovoltaic power station, the photovoltaic power station needs to be periodically inspected, the operation condition of equipment is known, and later operation and maintenance service is carried out. The traditional operation and maintenance mode of the photovoltaic power station is that 2 inspection staff are required, whether an inspection assembly is damaged or not every day, an ammeter is used for detecting one by one, the inspection is required to take 7-10 days, the fault problem is judged according to manual experience, the dependency on staff experience is high, the labor cost is high, the equipment fault discovery efficiency is low, and the power station benefit is affected.
In the prior art, the Chinese patent with publication number of CN213182428U and publication date of 2021, 5 and 11 discloses an unmanned aerial vehicle inspection method and system using a photovoltaic power station, wherein the method comprises the following steps: s1: the unmanned aerial vehicle is controlled through the control equipment, and is provided with an optical camera system which is used for shooting image information of photovoltaic power station equipment; the unmanned aerial vehicle is provided with an infrared temperature detection system, and the infrared temperature detection system is used for detecting the temperature of photovoltaic power station equipment; the unmanned aerial vehicle is provided with a wireless transmission system, and the wireless transmission system is used for transmitting the image information of the photovoltaic power station equipment and the infrared thermal image information of the photovoltaic power station equipment to the control equipment. According to the utility model, the unmanned aerial vehicle is used as a carrier, so that the unmanned aerial vehicle carries an optical camera system, an infrared temperature detection system and a wireless transmission system, and therefore, the unmanned aerial vehicle is used for automatic inspection in a photovoltaic power station, and the unmanned aerial vehicle has the advantages of high inspection efficiency and accurate inspection data.
The novel operation and maintenance mode of the photovoltaic power station is to patrol the photovoltaic power station by using an unmanned aerial vehicle, collect photovoltaic panel power generation operation data information based on the unmanned aerial vehicle, aim at the characteristics of wide operators, relief of topography and the like of the photovoltaic power station, utilize an image processing technology and a photovoltaic panel fault detection technology, combine a photogrammetry technology, realize automatic detection of abnormal conditions such as dust, dirt, cracks, shielding, heating and the like of a component, and notify abnormal details and accurate position information. However, after the unmanned aerial vehicle notifies the abnormal details and the accurate position information, the unmanned aerial vehicle also needs a worker to go to the photovoltaic power station for maintenance, and when the worker arrives at the photovoltaic power station, the photovoltaic panel may be seriously damaged, and the normal operation of other photovoltaic panels and even the photovoltaic power station is affected.
Therefore, an unattended photovoltaic power station comprehensive inspection fault elimination method and system are urgently needed, and when the system predicts the development trend of the photovoltaic panel fault, workers are timely reminded, and sufficient time is reserved for the workers to overhaul the fault photovoltaic panel.
Disclosure of Invention
In order to solve the problems, the utility model provides a comprehensive inspection fault elimination method and system for an unattended photovoltaic power station.
In a first aspect, the present utility model provides an unattended photovoltaic power station inspection system for inspection of a photovoltaic power station including a cleaning robot, comprising:
the device comprises a mounting seat, a mechanical arm, a camera, an infrared camera module, a communication module and a controller,
the mounting seat is arranged on the cleaning robot, the mechanical arm is arranged on the mounting seat,
the mechanical arm is provided with a workbench, the camera and the infrared camera module are detachably arranged on the workbench, the camera, the infrared camera module and the communication module are connected with the controller, the communication module is connected with a remote server,
the camera and the infrared camera module respectively collect visible light images and infrared images of the photovoltaic panel.
Further, the mount pad includes fixed part, rotary part and first driving motor, fixed part fixed mounting is in on the cleaning robot, first driving motor installs on the fixed part, rotary part rotation mount is in on the fixed part, the arm with the rotary part is connected, first driving motor drive rotary part is relative the fixed part is rotatory.
Further, the manipulator includes manipulator big arm and manipulator forearm, the manipulator big arm with rotary part swivelling joint, be equipped with the second driving motor on the rotary part, be equipped with the third driving motor on the manipulator big arm, the second driving motor drive the manipulator big arm is relative the rotary part is rotatory, the manipulator forearm with manipulator big arm swivelling joint, the third driving motor drive manipulator forearm is relative manipulator big arm swivelling joint, the workstation is installed on the manipulator forearm, second driving motor and third driving motor all with the controller is connected.
Further, the infrared camera module is installed on the workbench, the workbench further comprises a fourth driving motor, the fourth driving motor is rotatably installed on the manipulator small arm, the fourth driving motor drives the workbench to rotate relative to the manipulator small arm, and the control end of the fourth driving motor is connected with the controller.
In a second aspect, the utility model provides a comprehensive inspection fault elimination method for an unattended photovoltaic power station, which is based on the comprehensive inspection fault elimination system for the unattended photovoltaic power station, and the temperature of a photovoltaic panel is judged to be abnormal to give an alarm to a worker to prompt the worker to overhaul the photovoltaic panel. In addition, by adopting the comprehensive inspection fault elimination method for the unattended photovoltaic power station, the development trend of the hot spot area is predicted, so that workers can conveniently predict the development trend of the photovoltaic panel fault, and sufficient maintenance time is reserved.
The utility model provides a comprehensive inspection fault elimination method for an unattended photovoltaic power station, which comprises the following steps:
periodically acquiring visible light images and infrared images of the photovoltaic panel respectively by the camera and the infrared camera module;
judging whether a stain exists on the photovoltaic panel, if so, carrying out the next step, otherwise, repeating the step;
judging the type of the stain, if the type of the stain is easy to clean, controlling a cleaning robot to clean the stain by the controller, and if the type of the stain is difficult to clean, sending the type of the stain to a remote server and giving an alarm;
judging whether the temperature of the photovoltaic panel is abnormal, if so, sending the obtained temperature data of the photovoltaic panel to a remote server as abnormal data and giving an alarm, otherwise, judging that the temperature of the photovoltaic panel is normal.
Further, the method for judging whether the temperature of the photovoltaic panel is abnormal comprises the following steps:
determining a shooting range of the infrared shooting module according to the infrared image;
obtaining contour information based on the contour of the photovoltaic panel in the infrared image;
determining the temperature of the photovoltaic panel in the infrared image according to the contour information;
setting a preset threshold, and if the temperature of the photovoltaic panel exceeds the preset threshold, the temperature of the photovoltaic panel is abnormal; and if the temperature of the photovoltaic panel does not exceed the preset threshold value and the rising rate exceeds the preset rate threshold value, judging that the temperature of the photovoltaic panel is abnormal.
Further, the method for judging the type of the stain comprises the following steps:
acquiring a visible light image of the photovoltaic panel acquired by the camera;
and identifying the stains in the visible light image, if the stains are one or more of dust stains, leaves or sand wind, judging that the stains are easy to clean, and if the stains are one or more of bird droppings, gravel or rocks, judging that the stains are difficult to clean.
Further, the comprehensive inspection fault elimination method of the unmanned photovoltaic power station further comprises the following steps: and predicting the hot spot area development trend according to the infrared image, and sending the hot spot area development trend to a remote server to prompt a worker to judge whether to overhaul the photovoltaic panel.
Further, the method for predicting the hot spot area development trend according to the infrared image comprises the following steps:
acquiring the area of the visible light image recognition stain;
acquiring the distance between the camera and the stain;
calculating the hot spot area development trend, wherein d=k×s×l, k is a preset coefficient greater than 0, S is the area of the visible light image for identifying the spot, and L is the distance between the camera and the spot.
Further, the method for acquiring the area of the visible light image for identifying stains comprises the following steps:
obtaining a pixel distribution area of stains in the visible light image;
counting the duty ratio of the pixel area of the pixel distribution area in the visible light image pixel area;
calculate the area of stain s=a×s 1 Wherein S is 1 Image of stains in visible light imagesAnd a pixel distribution area, wherein a is the duty ratio of the pixel area of the pixel distribution area in the visible light image pixel area.
The beneficial effects of the utility model are as follows:
1. through collecting the infrared image of photovoltaic board, periodically acquire the temperature data of photovoltaic board, judge whether photovoltaic board temperature is unusual, whether the condition of temperature abnormality takes place for the real-time supervision photovoltaic board
2. Through predicting the hot spot area trend of photovoltaic board, the staff of being convenient for prejudge the trend of photovoltaic board trouble, reserve sufficient maintenance time and solve the trouble, avoid trouble subassembly to influence the operation of other subassemblies, improve inspection and maintenance efficiency, reduce trouble subassembly and influence photovoltaic power plant safe operation's risk.
3. Through gathering the visible light image of photovoltaic board, judge whether there is the spot on the photovoltaic board, if there is the spot accessible cleaning robot in time washs the spot, avoid the spot to adhere to on the photovoltaic board, influence the normal work of photovoltaic board.
4. The unmanned on duty photovoltaic power plant inspection system is through installing the arm on cleaning robot, and the arm includes big arm of manipulator and manipulator forearm, and big arm of manipulator and forearm are all rotatable, and during operation, the arm drives camera and infrared camera module and gathers the visible light image and the infrared image of photovoltaic board respectively, and detection scope is wide, and the position is accurate.
5. The camera and the infrared module are detachably arranged on the workbench, when the camera or the infrared module breaks down, the camera or the infrared module can be independently overhauled, the whole mechanical arm is not required to be maintained, and the maintenance cost is reduced.
Drawings
Fig. 1 is a schematic working diagram of an unattended photovoltaic power station inspection system provided by the utility model.
Fig. 2 is a flowchart of a comprehensive inspection fault elimination method for an unattended photovoltaic power station.
Fig. 3 is a mechanical arm structure diagram of the unmanned photovoltaic power station inspection system provided by the utility model.
Reference numerals illustrate: 1. a mounting base; 2. a fixing part; 3. a rotating part; 4. a mechanical large arm; 5. a mechanical arm; 6. a work table; 7. a camera; 8. a cleaning brush.
Detailed Description
The utility model is further described below with reference to the drawings and specific examples. Those of ordinary skill in the art will be able to implement the utility model based on these descriptions. In addition, the embodiments of the present utility model referred to in the following description are typically only some, but not all, embodiments of the present utility model. Therefore, all other embodiments, which can be made by one of ordinary skill in the art without undue burden, are intended to be within the scope of the present utility model, based on the embodiments of the present utility model.
The problems of 'bitter' of daily maintenance, 'difficult' of security inspection, 'tedious' of periodic detection and the like in the energy region occur together with new energy, and people pay attention gradually. The ground of the photovoltaic power station is usually original, and road surface environments with various forms such as grasslands, mountain stones and gobi exacerbate the inspection work difficulty. The traditional manual inspection has the problems of low inspection frequency, long time consumption, poor timeliness of data collection, poor personnel capability, incapability of guaranteeing quality, difficult data summarization, incapability of playing a pre-inspection prevention role and the like. Therefore, the comprehensive inspection fault defect eliminating method and system for the unattended photovoltaic power station predict the fault development trend in real time, improve inspection and maintenance efficiency, reserve sufficient time for workers to solve faults, avoid the fault components from influencing the operation of other components, and reduce the risk that the fault components influence the safe operation of the photovoltaic power station.
As shown in fig. 1, in a first aspect, the present embodiment provides an unattended photovoltaic power station inspection system for inspecting a photovoltaic power station including a cleaning robot, including a mounting base, a mechanical arm, a camera, an infrared camera module, a communication module and a controller,
the mounting seat is arranged on the cleaning robot, the mechanical arm is arranged on the mounting seat,
the mechanical arm is provided with a workbench, the camera and the infrared camera module are detachably arranged on the workbench, the camera, the infrared camera module and the communication module are connected with a controller, the communication module is connected with a remote server,
the camera and the infrared camera module respectively acquire visible light images and infrared images of the photovoltaic panel.
During inspection, the cleaning robot moves according to a preset route. A mechanical arm arranged on the cleaning robot drives a camera and an infrared module to respectively collect visible light images and infrared images of the photovoltaic panel. The visible light image of the photovoltaic panel collected by the camera can judge whether the surface of the photovoltaic panel has stains, the infrared image of the photovoltaic panel collected by the infrared module can acquire the temperature data of the photovoltaic panel, and whether the temperature of the photovoltaic panel is abnormal is judged. The communication module sends the collected visible light image and temperature data of the photovoltaic panel to the remote server, and a worker obtains real-time working information of the photovoltaic panel through the remote server, wherein the real-time working information comprises whether the surface of the photovoltaic panel has stains, whether the temperature data of the photovoltaic panel is abnormal or not and the like.
The mount pad includes fixed part, rotary part and first driving motor, and fixed part fixed mounting is in on the cleaning robot, first driving motor installs on the fixed part, and rotary part rotation installs on the fixed part, and the arm is connected with rotary part, and first driving motor drive rotary part is rotatory relative to fixed part.
The mechanical arm comprises a mechanical arm big arm and a mechanical arm small arm, the mechanical arm big arm is rotationally connected with the rotating part, and the mechanical arm small arm is rotationally connected with the mechanical arm big arm. The workbench further comprises a fourth driving motor, the fourth driving motor is rotatably arranged on the small arm of the manipulator, the fourth driving motor drives the workbench to rotate relative to the small arm of the manipulator, and the control end of the fourth driving motor is connected with the controller.
When the manipulator is in operation, the controller drives the first motor to drive the rotating part to rotate relative to the fixed part, at the moment, the second driving motor on the rotating part drives the manipulator big arm to rotate relative to the rotating part, the third driving motor on the manipulator big arm drives the manipulator small arm to rotate relative to the manipulator big arm, and the fourth driving motor on the manipulator small arm drives the workbench to rotate relative to the manipulator small arm. The large arm of the manipulator, the small arm of the manipulator and the workbench are rotatable, the detection range is wide, the accurate position of the detected fault assembly is conveniently uploaded to the remote server, and an maintainer catches up to the site according to the accurate position of the photovoltaic panel acquired by the visible light image to overhaul the photovoltaic panel.
As shown in fig. 2, in a second aspect, the present utility model provides a method for eliminating comprehensive inspection faults of an unattended photovoltaic power station, which includes the following steps:
step A01: and periodically acquiring a visible light image and an infrared image of the photovoltaic panel by a camera and an infrared camera module respectively.
The visible light image of the photovoltaic panel collected by the camera can judge whether the surface of the photovoltaic panel has stains, the infrared image of the photovoltaic panel collected by the infrared module can acquire the temperature data of the photovoltaic panel, and whether the temperature of the photovoltaic panel is abnormal is judged.
Step A02: judging whether the stain exists on the photovoltaic panel, if so, carrying out the next step, otherwise, repeating the step. Judging whether a spot exists on the photovoltaic panel, if so, timely cleaning the spot by using a cleaning robot, and avoiding the spot from adhering to the photovoltaic panel to influence the normal work of the photovoltaic panel.
Step A02: judging the type of the stain, if the type of the stain is easy to clean, controlling the cleaning robot to clean the stain by the controller, and if the type of the stain is difficult to clean, sending the type of the stain to a remote server and giving an alarm.
Specifically, when step a02 is performed, the following steps may be performed to determine the type of stain:
step a201: acquiring a visible light image of a photovoltaic panel acquired by a camera;
step A202: and identifying the stains in the visible light image, if the stains are one or more of dust stains, leaves or sand, judging that the stains are easy to clean, and if the stains are one or more of bird droppings, gravel or rocks, judging that the stains are difficult to clean.
The visible light image of the photovoltaic panel is collected through the camera, stains in the visible light image are identified, and the stains are judged to be of the type easy to clean or difficult to clean. If the dirt belongs to one or more of dust dirt, leaves or sand, the cleaning robot is controlled by the controller to clean the dirt in time, so that the dirt is prevented from adhering to the photovoltaic panel, the normal work of the photovoltaic panel is influenced, and the generated energy of the photovoltaic power station is reduced. If the stains belong to one or more of bird droppings, gravel or rocks, the stains are of a type which is not easy to clean, the type of the stains is sent to a remote server and an alarm is sent, so that workers are prompted to clean the stains in time.
Step A03: judging whether the temperature of the photovoltaic panel is abnormal, if so, sending the obtained temperature data of the photovoltaic panel to a remote server as abnormal data and giving an alarm, otherwise, judging that the temperature of the photovoltaic panel is normal.
The infrared thermal imaging module converts invisible infrared energy emitted by an object into a visible infrared thermal imaging picture through infrared scanning, the color on the infrared thermal imaging picture represents the temperature of the corresponding position of the measured object, and the brighter the general color is, the higher the surface temperature of the position of the measured object is; and then, analyzing the infrared thermal imaging picture of the photovoltaic panel obtained by infrared scanning to obtain a temperature value of any point on the surface of the photovoltaic panel, so that whether the photovoltaic module is abnormal or not can be estimated.
Specifically, in performing step a03, determining whether the temperature of the photovoltaic panel is abnormal may perform the steps of:
step a301: determining a shooting range of the infrared shooting module according to the infrared image;
step a302: obtaining contour information based on the contour of the photovoltaic panel in the infrared image;
step a303: determining the temperature of the photovoltaic panel in the infrared image according to the contour information;
step A304: setting a preset threshold, and if the temperature of the photovoltaic panel exceeds the preset threshold, the temperature of the photovoltaic panel is abnormal; and if the temperature of the photovoltaic panel does not exceed the preset threshold value and the rising rate exceeds the preset rate threshold value, judging that the temperature of the photovoltaic panel is abnormal.
The comprehensive inspection fault elimination method for the unmanned photovoltaic power station provided by the embodiment further comprises the following steps:
step B01: and predicting the hot spot area development trend according to the infrared image, and sending the hot spot area development trend to a remote server to prompt a worker to judge whether to overhaul the photovoltaic panel.
Photovoltaic panels are typically installed in open terrain, sunny terrain. In long-term use, the shielding objects such as flying birds, dust, fallen leaves and the like are inevitably fallen, and shadow is formed on the photovoltaic panel by the shielding objects, so that the local temperature of the photovoltaic panel is increased, and hot spots are formed. The local shadow causes the current and voltage of a plurality of battery single sheets in the photovoltaic panel to change, so that the product of the local current and voltage of the photovoltaic panel is increased, and the local temperature of the photovoltaic panel is further increased. In addition, defects of certain battery singlechips in the photovoltaic panel can cause the photovoltaic panel to locally generate heat during operation, and hot spots are generated.
The hot spots not only affect the generated energy of the photovoltaic panel, but also lead to the rapid rise of the local temperature of the photovoltaic panel, thereby causing potential safety hazards. When the temperature of the photovoltaic panel is too high, fire is easy to cause. Therefore, the embodiment is convenient for staff to predict the temperature development trend of the photovoltaic panel by predicting the hot spot area development trend, so that the faults of the photovoltaic panel and the potential safety hazards of the photovoltaic power station are eliminated in time, and serious dangerous accidents are avoided.
Specifically, in performing step B01, the following steps may be performed in accordance with the infrared image prediction hot spot area development tendency:
step B101: acquiring the area of the visible light image for identifying stains;
in performing step B101, acquiring the area of the visible light image to identify the stain may perform the steps of:
step B1011: obtaining a pixel distribution area of stains in the visible light image;
step B1012: counting the duty ratio of the pixel area of the pixel distribution area in the visible light image pixel area;
step B1013: calculate the area of stain s=a×s 1 Wherein S is 1 A is the pixel distribution area of the stain in the visible light image, and a is the duty ratio of the pixel area of the pixel distribution area in the pixel area of the visible light image.
Step B02: obtaining the distance between the camera and the stain;
step B03: calculating the development trend of the hot spot area, wherein d=k×s×l, k is a preset coefficient larger than 0, S is the area of the visible light image for identifying the spot, and L is the distance between the camera and the spot.
Claims (10)
1. An unmanned photovoltaic power station comprehensive inspection fault elimination system is used for inspection of a photovoltaic power station comprising a cleaning robot, and is characterized in that,
comprises a mounting seat, a mechanical arm, a camera, an infrared camera module, a communication module and a controller,
the mounting seat is arranged on the cleaning robot, the mechanical arm is arranged on the mounting seat,
the mechanical arm is provided with a workbench, the camera and the infrared camera module are detachably arranged on the workbench, the camera, the infrared camera module and the communication module are connected with the controller, the communication module is connected with a remote server,
the camera and the infrared camera module respectively collect visible light images and infrared images of the photovoltaic panel.
2. The comprehensive inspection fault elimination system of an unmanned photovoltaic power station according to claim 1, wherein the mounting seat comprises a fixing portion, a rotating portion and a first driving motor, the fixing portion is fixedly installed on the cleaning robot, the first driving motor is installed on the fixing portion, the rotating portion is rotatably installed on the fixing portion, the mechanical arm is connected with the rotating portion, and the first driving motor drives the rotating portion to rotate relative to the fixing portion.
3. The comprehensive inspection fault elimination system of the unmanned photovoltaic power station according to claim 2, wherein the mechanical arm comprises a mechanical arm and a mechanical arm, the mechanical arm is rotatably connected with the rotating part, a second driving motor is arranged on the rotating part, a third driving motor is arranged on the mechanical arm, the second driving motor drives the mechanical arm to rotate relative to the rotating part, the mechanical arm is rotatably connected with the mechanical arm, the third driving motor drives the mechanical arm to rotate relative to the mechanical arm, the workbench is arranged on the mechanical arm, and the second driving motor and the third driving motor are both connected with the controller.
4. The comprehensive inspection fault elimination system for the unmanned photovoltaic power station according to claim 3, wherein the workbench further comprises a fourth driving motor, the fourth driving motor is rotatably mounted on the small arm of the manipulator, the fourth driving motor drives the workbench to rotate relative to the small arm of the manipulator, and a control end of the fourth driving motor is connected with the controller.
5. An unmanned photovoltaic power station comprehensive inspection fault elimination method based on the unmanned photovoltaic power station comprehensive inspection fault elimination system as claimed in any one of claims 1-4, which is characterized by comprising the following steps:
periodically acquiring visible light images and infrared images of the photovoltaic panel respectively by the camera and the infrared camera module;
judging whether a stain exists on the photovoltaic panel, if so, carrying out the next step, otherwise, repeating the step;
judging the type of the stain, if the type of the stain is easy to clean, controlling a cleaning robot to clean the stain by the controller, and if the type of the stain is difficult to clean, sending the type of the stain to a remote server and giving an alarm;
judging whether the temperature of the photovoltaic panel is abnormal, if so, sending the obtained temperature data of the photovoltaic panel to a remote server as abnormal data and giving an alarm, otherwise, judging that the temperature of the photovoltaic panel is normal.
6. The method for eliminating comprehensive inspection faults of an unattended photovoltaic power station according to claim 5, wherein the method for judging whether the temperature of the photovoltaic panel is abnormal comprises the following steps:
determining a shooting range of the infrared shooting module according to the infrared image;
obtaining contour information based on the contour of the photovoltaic panel in the infrared image;
determining the temperature of the photovoltaic panel in the infrared image according to the contour information;
setting a preset threshold, and if the temperature of the photovoltaic panel exceeds the preset threshold, the temperature of the photovoltaic panel is abnormal; and if the temperature of the photovoltaic panel does not exceed the preset threshold value and the rising rate exceeds the preset rate threshold value, judging that the temperature of the photovoltaic panel is abnormal.
7. The method for eliminating comprehensive inspection faults of an unattended photovoltaic power station according to claim 5, wherein the method for judging the type of the stains comprises the following steps:
acquiring a visible light image of the photovoltaic panel acquired by the camera;
and identifying the stains in the visible light image, if the stains are one or more of dust stains, leaves or sand wind, judging that the stains are easy to clean, and if the stains are one or more of bird droppings, gravel or rocks, judging that the stains are difficult to clean.
8. The method for eliminating comprehensive inspection faults of an unattended photovoltaic power station according to claim 5, which is characterized by further comprising the following steps: and predicting the hot spot area development trend according to the infrared image, and sending the hot spot area development trend to a remote server to prompt a worker to judge whether to overhaul the photovoltaic panel.
9. The method for eliminating comprehensive inspection faults of an unattended photovoltaic power station according to claim 8, wherein the method for predicting the hot spot area development trend according to infrared images comprises the following steps:
acquiring the area of the visible light image recognition stain;
acquiring the distance between the camera and the stain;
calculating the hot spot area development trend, wherein d=k×s×l, k is a preset coefficient greater than 0, S is the area of the visible light image for identifying the spot, and L is the distance between the camera and the spot.
10. The method for eliminating comprehensive inspection faults of an unattended photovoltaic power station according to claim 9, wherein the method for acquiring the area of the visible light image recognition stain comprises the following steps:
obtaining a pixel distribution area of stains in the visible light image;
counting the duty ratio of the pixel area of the pixel distribution area in the visible light image pixel area;
calculate the area of stain s=a×s 1 Wherein S is 1 And a is the duty ratio of the pixel area of the pixel distribution area in the pixel area of the visible light image.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117036313A (en) * | 2023-08-18 | 2023-11-10 | 华大天元(北京)科技股份有限公司 | Computer vision-based infrared intelligent detection method and equipment for power equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117036313A (en) * | 2023-08-18 | 2023-11-10 | 华大天元(北京)科技股份有限公司 | Computer vision-based infrared intelligent detection method and equipment for power equipment |
| CN117036313B (en) * | 2023-08-18 | 2024-04-30 | 华大天元(北京)科技股份有限公司 | Computer vision-based infrared intelligent detection method and equipment for power equipment |
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