CN107612503B - Solar panel fault detection method and system and robot - Google Patents
Solar panel fault detection method and system and robot Download PDFInfo
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- CN107612503B CN107612503B CN201710981178.2A CN201710981178A CN107612503B CN 107612503 B CN107612503 B CN 107612503B CN 201710981178 A CN201710981178 A CN 201710981178A CN 107612503 B CN107612503 B CN 107612503B
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- Y02E10/00—Energy generation through renewable energy sources
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Abstract
The invention discloses a solar panel fault detection method and system and a robot, wherein the fault detection method comprises the following steps: step S1), obtaining a thermal imaging picture of any sampling area on a solar panel; step S2), converting the thermal imaging picture into a temperature value picture; and S3) detecting whether a fault area exists in the area according to the temperature value picture. According to the invention, the thermal imaging technology is utilized, the temperature condition of the solar panel in each area is detected in the advancing process of the cleaning robot, the area with the excessively high temperature is judged as a fault area, and the background server is timely warned and notified of maintenance, so that the operation safety of the solar panel is ensured, and the further expansion of the fault area of the solar panel is effectively prevented.
Description
Technical Field
The invention relates to the field of solar panels and the like, in particular to a solar panel fault detection method and system and a robot.
Background
The solar panel is a panel which directly converts solar energy into electric energy by utilizing a photovoltaic effect (photovoltaics) generated by semiconductor materials under illumination conditions, and is the most direct one of a plurality of solar energy utilization modes, and most of solar panels are made of monocrystalline silicon at present. Because the solar power can be generated in places where sunlight exists, the solar photovoltaic power generation is applicable to various occasions from a large power station to a small portable charger.
In the use process of the solar panel, the problem of local circuit damage of the solar panel is likely to occur, particularly when the circuit node of the solar panel is damaged, as other materials are attached to the surface layer of the solar panel, the appearance of the panel is likely to be normal when the circuit node inside the solar panel is damaged in a small part, and the panel is difficult to identify by naked eyes. If the fault node cannot be overhauled in time, the phenomenon that the local temperature of the panel is too high is caused by the circuit damage, the fault area is enlarged, and the overall working effect of the solar panel is affected. Therefore, on a solar panel with a larger area, how to find the failure of the solar panel in time and how to find a specific panel failure area as soon as possible is a problem to be solved at present.
Disclosure of Invention
The invention aims to provide a solar panel fault detection method and a solar panel fault detection system, which are used for solving the technical problems that in the prior art, a circuit fault of a solar panel is difficult to discover in time and the position of a fault area is difficult to accurately judge.
In order to solve the technical problems, the invention provides a solar panel fault detection method, which comprises the following steps: step S1), obtaining a thermal imaging picture of any sampling area on a solar panel; step S2), converting the thermal imaging picture into a temperature value picture; and S3) detecting whether a fault area exists in the area according to the temperature value picture.
In a preferred embodiment of the present invention, the step S2) includes the steps of: step S201), calculating the gray value of each pixel point on the thermal imaging picture, and converting the thermal imaging picture into a gray picture; step S202) calculating the temperature value of each pixel point according to the gray value of each pixel point on the gray image, and converting the gray image into a temperature value image; and an isotherm is arranged on the temperature value picture.
In a preferred embodiment of the present invention, the step S3) includes the steps of: step 301), sequentially calculating the difference values between the temperature values of all the pixel points of the temperature value picture and a preset temperature threshold value; and step S302), comparing all the differences with 0 in turn; if all the differences are smaller than 0, judging that no fault exists in the area; and if any difference value is greater than or equal to 0, judging that a fault area exists in the area.
In a preferred embodiment of the present invention, after step S3), the method further comprises the following steps: step S4) calculating the position of the fault area and/or sending out an alarm signal; step S5) transmitting the position of the fault area and/or the alarm signal to a server.
In a preferred embodiment of the present invention, in step S4), the calculating the location of the fault area includes the following steps: step S601), acquiring a real-time picture of the sampling area on the upper surface of the solar panel; step S602), the isotherm in the temperature value picture is projected to the real-time picture, and the real-time picture with the isotherm is obtained; and step S603) calculating the position of the fault area according to the real-time picture with the isotherm.
In a preferred embodiment of the present invention, in step S601), the real-time image of the sampling area includes identifiable longitude and latitude lines, and longitude values and latitude values of all the longitude and latitude lines in the sampling area can be identified from the longitude and latitude lines; step S602), the isotherm includes a threshold isotherm representing a preset temperature threshold, and a portion surrounded by the threshold isotherm in the sampling region is a fault region; said step S603) comprises the steps of: step S6031), acquiring the intersection point of the warp and weft lines in the real-time picture and a threshold isotherm; step S6032), calculating the coordinates of the crossing points, and combining the coordinates into a crossing point coordinate set; step S6033), sorting the abscissa and the ordinate of all the crossing points according to the numerical values, and calculating the minimum threshold and the maximum threshold of the abscissa and the ordinate of the crossing points; and step S6034), the position of the fault area is obtained, namely, the threshold range of the abscissa and the ordinate of the intersection point.
In order to solve the technical problem, the invention also provides a solar panel fault detection system, which comprises a thermal imaging picture acquisition unit, a detection unit and a detection unit, wherein the thermal imaging picture acquisition unit is used for acquiring a thermal imaging picture of any sampling area on the solar panel; the picture conversion unit is used for converting the thermal imaging picture into a temperature value picture; and the fault detection unit is used for detecting whether a fault area exists in the area according to the temperature value picture.
In a preferred embodiment of the present invention, the picture conversion unit includes: the gray level calculating unit is used for calculating the gray level value of each pixel point on the thermal imaging picture and converting the thermal imaging picture into a gray level picture; the temperature calculating unit is used for calculating the temperature value of each pixel point according to the gray value of each pixel point on the gray image and converting the gray image into a temperature value image; and an isotherm is arranged on the temperature value picture.
In a preferred embodiment of the present invention, the fault detection unit includes: the temperature difference calculating unit is used for sequentially calculating the difference value between the temperature values of all the pixel points of the temperature value picture and a preset temperature threshold value; and a fault zone judging unit for comparing all the differences with 0 in sequence; if all the differences are smaller than 0, judging that no fault exists in the area; and if any difference value is greater than or equal to 0, judging that a fault area exists in the area.
In a preferred embodiment of the present invention, the solar panel fault detection system further includes a fault region identification unit for identifying a location of the fault region; and/or an alarm unit for sending out an alarm signal; and the communication unit is used for transmitting the position of the fault area and/or the alarm signal to a server.
In a preferred embodiment of the present invention, the fault region identification unit includes: the real-time picture acquisition unit is used for acquiring real-time pictures of the sampling area on the upper surface of the solar panel; the picture integration unit is used for projecting the isotherm in the temperature value picture to the real-time picture and acquiring the real-time picture with the isotherm; and a fault region calculation unit for calculating the position of the fault region according to the real-time picture with the isotherm.
In a preferred embodiment of the present invention, the real-time image of the sampling area includes identifiable longitude and latitude lines, from which longitude and latitude values of all the longitude and latitude lines in the sampling area can be identified;
in a preferred embodiment of the present invention, the isotherm includes a threshold isotherm representing a preset temperature threshold, and a portion of the sampling region surrounded by the threshold isotherm is a fault region; the fault region calculation unit includes; the intersection point acquisition unit is used for acquiring intersection points of the warp and weft lines in the real-time picture and the threshold isothermal line; the coordinate calculation unit is used for calculating the coordinates of the crossing points and combining the coordinates into a crossing point coordinate set; the coordinate threshold calculating unit is used for sequencing the abscissas and the ordinates of all the crossing points according to the values, and calculating the minimum threshold and the maximum threshold of the abscissas and the ordinates of the crossing points; the fault region acquisition unit is used for acquiring the position of the fault region, namely, the threshold range of the abscissa and the ordinate of the intersection point.
In order to solve the technical problems, the invention also provides a robot which runs or stops on the solar panel, comprising the solar panel fault detection system.
The invention has the advantages that the invention provides the solar panel fault detection system and the solar panel fault detection method, the thermal imaging camera is arranged on the cleaning robot running on the solar panel, the temperature condition of the solar panel in each area is detected in the running process of the cleaning robot by utilizing the thermal imaging technology, the area with the excessive temperature is judged as the fault area, the background server is timely warned and informed of maintenance, so that the safety of the operation on the solar panel is ensured, and the further expansion of the solar panel fault area is effectively prevented.
Drawings
The invention is further explained below with reference to the drawings and examples.
FIG. 1 is a schematic view showing the working state of a robot on a solar panel according to embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of a failure detection system for a solar panel according to embodiment 1 of the present invention;
FIG. 3 is a flow chart of a method for detecting faults of a solar panel according to embodiment 1 of the present invention;
FIG. 4 is a flowchart of step S2 in embodiment 1 of the present invention;
FIG. 5 is a flowchart of step S3 in embodiment 1 of the present invention;
FIG. 6 is a schematic structural diagram of a solar panel fault detection system according to embodiment 2 of the present invention;
FIG. 7 is a flow chart of a method for detecting faults of a solar panel according to embodiment 2 of the present invention;
FIG. 8 is a flowchart of step S6 in embodiment 2 of the present invention;
fig. 9 is a flowchart of step S603 in embodiment 2 of the present invention.
The components in the figures are identified as follows:
1, a robot; 2 a solar panel; 3, a fault detection system; a server;
31 a thermal imaging picture acquisition unit; a 32-picture conversion unit; 33 a fault detection unit;
34 a fault zone identification unit; 35 an alarm unit; 36 a communication unit;
41 data processing unit, 42 server communication unit, 43 alarm;
a 321 gray level calculation unit; a 322 temperature calculation unit;
331 a temperature difference calculation unit; 332 a fault area judging unit;
341 a real-time picture acquisition unit; 342 picture integration unit; 343 a fault region calculation unit;
3431 an intersection acquisition unit; 3432 coordinate calculation unit; 3433 coordinate threshold calculation unit.
Detailed Description
The following description of the embodiments refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced. The directional terms referred to in the present invention, such as "up", "down", "front", "back", "left", "right", "top", "bottom", etc., refer only to the directions of the attached drawings. Accordingly, directional terminology is used to describe and understand the invention and is not limiting of the invention.
Example 1
As shown in fig. 1, embodiment 1 provides a robot 1 that travels or stops on a solar panel 2, which includes a solar panel failure detection system 3. The robot 1 comprises a control system and a power system, wherein the solar panel fault detection system 3 is connected with the control system, and the control system is used for controlling the power system to drive the robot 1 to run on the solar panel 2 and controlling the solar panel fault detection system 3.
As shown in fig. 2, in the present embodiment, the solar panel fault detection system 3 includes a thermal imaging picture acquisition unit 31, a picture conversion unit 32, and a fault detection unit 33 disposed in a processor.
The thermal imaging image acquisition unit 31 includes a thermal imaging camera, and the central axis of the lens of the thermal imaging camera has a certain included angle with respect to the solar panel, and thermal imaging images of a certain area of the solar panel are acquired at regular intervals, and the area is located in the field of view of the thermal imaging camera. The thermal imaging image acquisition unit 31 is configured to acquire, in real time, a thermal imaging image of any sampling area on the solar panel 2, and in the travelling process of the robot 1, the thermal imaging camera acquires the thermal imaging image of the solar panel multiple times, and since the travelling path of the robot 1 covers the whole solar panel, the thermal imaging image acquired by the thermal imaging camera includes all areas on the whole solar panel.
The picture conversion unit 32 is configured to convert the thermal imaging picture into a temperature value picture. The picture conversion unit 32 includes a gradation calculation unit 321 and a temperature calculation unit 322.
The gray level calculating unit 321 is configured to calculate a gray level value of each pixel point on the thermal imaging picture, and convert the thermal imaging picture into a gray level picture. On the basis of the thermal imaging picture acquired by the thermal imaging picture acquisition unit 31, each pixel point in the thermal imaging picture is extracted and the gray value of the pixel point is calculated, and the thermal imaging picture is converted into a gray picture according to the gray value. In general, gray scale represents a pixel area or a pixel point corresponding to an object to be acquired by using black tone, that is, black is used as a reference color, and images are displayed by black with different saturation. Each gray object has a luminance value from white to black, and the interval value of the luminance value from white to black is 0% -100%. When the gray value of each pixel point on the thermal imaging picture is calculated, a floating point algorithm, an integer method, a shifting method, an average value method and a green method can be adopted to calculate the gray value, and the algorithm for calculating the gray value is also the prior art and is not repeated.
The temperature calculating unit 322 is configured to calculate a temperature value of each pixel according to the gray value of each pixel on the gray picture, and convert the gray picture into a temperature value picture. In this embodiment, the temperature calculating unit 322 calculates the temperature value of each pixel according to the correspondence between the gray level value and the temperature value, and for the pixels with the same temperature value or the same temperature range, the temperature value is represented by an isotherm on the temperature value picture. The pixel point corresponding to each temperature value is displayed through a certain display characteristic, for example, the color depth or the color transparency and the like are used as the display characteristic, the temperature value is respectively set to be red and 100% in terms of color transparency from high to low, 50% in terms of red and color transparency, 100% in terms of yellow and color transparency, 50% in terms of yellow and color transparency, 100% in terms of gray and color transparency, and a corresponding temperature value picture is generated according to the different display characteristics corresponding to the temperature values.
The fault detection unit 33 is configured to detect whether a fault area exists in the area according to the temperature value picture. The failure detection unit 33 includes a temperature difference calculation unit 331, a failure region judgment unit 332.
The temperature difference calculating unit 331 is configured to sequentially calculate differences between the temperature values of all the pixels of the temperature value picture and a preset temperature threshold. In this embodiment, the preset temperature threshold is preset and is related to the temperature difference calculating unit 331, where the preset temperature threshold is a temperature warning value, that is, a highest temperature value when a certain area of the solar panel will fail, and specific values thereof are set according to actual situations, such as different working environments, and different temperatures, and the preset temperature threshold may also be different. For example, in midsummer with higher air temperature, the temperature of the solar panel in the normal working state is higher, and the preset temperature threshold is also higher; in winter with lower air temperature, the temperature of the solar panel in a normal working state is lower, and the preset temperature threshold value is also lower.
The fault zone determination unit 332 is configured to compare all the differences with 0 in sequence; if all the difference values are smaller than 0, judging that no fault exists in the area displayed by the temperature value picture; if any difference value is greater than or equal to 0, judging that a fault area exists in the area.
The solar panel fault detection system 3 further comprises an alarm unit 35 and a communication unit 36, and the server 4 comprises a data processing unit 41, a server communication unit 42 and an alarm 43. The communication unit 36 and the server communication unit 42 are wireless communication modules and are connected to each other wirelessly to exchange data.
The alarm unit 35 emits an alarm signal when the failure detection unit 33 recognizes a failure area on the solar panel 2, or the alarm unit 35 emits an alarm signal when the solar panel failure detection system itself fails.
The solar panel fault detection system 3 transmits the alarm signal to the server 4 through the communication unit 36 and the server communication unit 42. The cleaning robots on the solar panels can be connected to the same server in a wireless manner, the data processing unit 41 of the server 4 sends the alarm signal to the alarm 43, and the alarm signal is displayed on a display or an external alarm device (such as a mobile communication terminal carried by a maintainer), so as to inform the maintainer that a certain solar panel fails and inform the maintainer to overhaul the solar panel in time.
Embodiment 1 also provides a method for detecting a failure of a solar panel, namely a method for implementing the solar panel failure detection system.
As shown in fig. 3, the method for detecting the failure of the solar panel includes the following steps S1) to S5).
Step S1) obtaining a thermal imaging picture of any sampling area on the solar panel.
Step S2) converting the thermal imaging picture into a temperature value picture. As shown in fig. 4, the step S2) includes the steps of: step S201) calculates a gray value of each pixel point on the thermal imaging picture, and converts the thermal imaging picture into a gray picture. Step S202) calculating the temperature value of each pixel point according to the gray value of each pixel point on the gray picture, and converting the gray picture into a temperature value picture; and an isotherm is arranged on the temperature value picture.
And S3) detecting whether a fault area exists in the area according to the temperature value picture. As shown in fig. 5, the step S3) includes the steps of: step S301) sequentially calculates the difference between the temperature values of all the pixels of the temperature value picture and a preset temperature threshold. Step S302) sequentially comparing all the differences with 0; if all the differences are smaller than 0, judging that no fault exists in the area; and if any difference value is greater than or equal to 0, judging that a fault area exists in the area.
Step S4) sends out an alarm signal.
Step S5) transmits the alarm signal to a server. The server 4 displays the alarm signal on a display or an external alarm device, informs maintenance personnel that a certain solar panel fails, and informs the maintenance personnel to overhaul the solar panel in time.
According to the detection method for the solar panel fault area, whether the solar panel has faults or not can be effectively detected, the panel can be monitored in real time through the server, the solar panel in the area is controlled to stop working through the server, and if a control instruction is sent, a circuit switch connected with the solar panel is controlled; and sending overhaul information to a mobile client terminal carried by maintainers, and arranging the maintainers to overhaul. According to the information sent by the server, an maintainer can know which solar panel fails and check and maintain the panel, so that the maintenance efficiency is effectively improved, and the range of a failure area of the solar panel is effectively prevented from being enlarged.
Example 2
As shown in fig. 6, the solar panel fault detection system according to embodiment 2 includes all the technical solutions of the solar panel fault detection system according to embodiment 1, which are different in that in embodiment 2, the solar panel fault detection system 3 further includes a fault zone identification unit 34.
The fault area identifying unit 34 is configured to identify a location of the fault area, and the fault area identifying unit 34 includes a real-time picture acquisition unit 341, a picture integration unit 342, and a fault area calculating unit 343.
The real-time image acquisition unit 341 is a common optical camera, and is configured to obtain real-time images of the sampling area on the upper surface of the solar panel 2, and take a picture at regular intervals during the traveling process of the cleaning robot, so as to obtain real-time images in each area on the whole solar panel. The solar panel is provided with identifiable longitude and latitude lines, so that the real-time picture of the sampling area comprises the identifiable longitude and latitude lines, and longitude values and latitude values of all the longitude and latitude lines in the sampling area can be identified from the longitude and latitude lines. In this embodiment, the solar panel 2 is generally rectangular or square, so that the identifiable warp and weft may be disposed parallel to the edges of the solar panel 2 or parallel to the lateral and longitudinal splice slits of the surface of the solar panel 2.
The temperature calculating unit 322 converts the gray level picture into a temperature value picture, and the picture integrating unit 342 projects the isotherm in the temperature value picture onto a real-time picture of a sampling area of the solar panel to obtain a real-time picture with the isotherm. In this embodiment, the main purpose of the picture integration unit 342 is to set the isotherm parameters in the temperature value picture on the real-time picture correspondingly, so as to obtain the real-time picture with the isotherm, and during specific integration, relevant data, such as each pixel on the isotherm and the temperature value corresponding to each pixel, can be extracted through the pixel points corresponding to the temperature value picture and the real-time picture, and then the extracted relevant data is related to the real-time picture, so as to generate the corresponding picture. The isotherm comprises a threshold isotherm representing a preset temperature threshold, such as an isotherm formed by pixels with red display characteristics and 100% color transparency, and the part, surrounded by the threshold isotherm, of the sampling area is a fault area.
The fault region calculating unit 343 is configured to calculate the position of the fault region according to the real-time picture with the isotherm. The fault region calculation unit 343 includes a cross point acquisition unit 3421, a coordinate calculation unit 3432, and a fault region acquisition unit 3433. The fault region calculating unit 343 is mainly used for distinguishing a non-fault region from a fault region and displaying a coordinate range of a position corresponding to the threshold isotherm through warps and wefts.
The intersection acquisition unit 3421 acquires intersection points of the warp and weft lines and the threshold isotherm in the real-time picture, and the coordinate calculation unit 3432 calculates an intersection point coordinate set in which coordinates of the intersection points are combined; the fault region acquiring unit 3433 sorts the abscissas and ordinates of all the intersections by the numerical values, calculates the minimum threshold and the maximum threshold of the abscissas and ordinates of the intersections, and thereby acquires the position of the fault region, that is, the threshold range of the abscissas and ordinates of the intersections.
The alarm unit 35 sends out an alarm signal when the failure area recognition unit 34 recognizes a failure area on the solar panel 2, or the alarm unit 35 sends out an alarm signal when the solar panel failure detection system itself fails.
The solar panel fault detection system 3 transmits the alarm signal and the location of the fault area to the server 4 through the communication unit 36 and the server communication unit 42. The cleaning robots on the solar panels can be connected to the same server in a wireless manner, the data processing unit 41 of the server 4 sends the alarm signal to the alarm 43, and the alarm signal is displayed on a display or an external alarm device (such as a mobile communication terminal carried by a maintainer), so as to inform the maintainer that a certain area of a certain solar panel fails, and inform the maintainer to overhaul the solar panel in time.
Embodiment 2 also provides a method for detecting a failure of a solar panel, namely a method for implementing the solar panel failure detection system.
As shown in fig. 7, the method for detecting a failure of a solar panel includes the following steps S1) to S5), and part of the steps are the same as those of embodiment 1.
Step S1) obtaining a thermal imaging picture of any sampling area on the solar panel.
Step S2) converting the thermal imaging picture into a temperature value picture. As shown in fig. 4, the step S2) includes the steps of: step S201) calculates a gray value of each pixel point on the thermal imaging picture, and converts the thermal imaging picture into a gray picture. Step S202) calculating the temperature value of each pixel point according to the gray value of each pixel point on the gray picture, and converting the gray picture into a temperature value picture; and an isotherm is arranged on the temperature value picture.
And S3) detecting whether a fault area exists in the area according to the temperature value picture. As shown in fig. 5, the step S3) includes the steps of: step S301) sequentially calculates the difference between the temperature values of all the pixels of the temperature value picture and a preset temperature threshold. Step S302) sequentially comparing all the differences with 0; if all the differences are smaller than 0, judging that no fault exists in the area; and if any difference value is greater than or equal to 0, judging that a fault area exists in the area.
Step S4) sends out an alarm signal.
Step S5) transmits the alarm signal to a server. The server 4 displays the alarm signal on a display or an external alarm device, informs maintenance personnel that a certain solar panel fails, and informs the maintenance personnel to overhaul the solar panel in time.
After step S3), the following steps S6) to S7) may be further included.
Step S6) calculates the position of the fault area. As shown in fig. 8, step S6) specifically includes the steps of: step S601), acquiring a real-time picture of the sampling area on the upper surface of the solar panel; in step S601), the real-time picture of the sampling area includes identifiable longitude and latitude lines, and longitude values and latitude values of all the longitude and latitude lines in the sampling area can be identified from the longitude and latitude lines. Step S602), the isotherm in the temperature value picture is projected to the real-time picture, and the real-time picture with the isotherm is obtained; in step S602), the isotherm includes a threshold isotherm representing a preset temperature threshold, and the portion surrounded by the threshold isotherm in the sampling area is the fault area. Step S603) calculates the location of the fault zone from the real-time picture with isotherms. As shown in fig. 9, the step S603) includes the steps of: step S6031), acquiring the intersection point of the warp and weft lines in the real-time picture and a threshold isotherm; step S6032), calculating the coordinates of the crossing points, and combining the coordinates into a crossing point coordinate set; step S6033) sorting the abscissas and the ordinates of all the intersection points according to the values, and calculating the minimum threshold and the maximum threshold of the abscissas and the ordinates of the intersection points, thereby obtaining the position of the fault area, namely the threshold range of the abscissas and the ordinates of the intersection points.
Step S7) transmitting the position of the fault area to a server, and displaying the position of the fault area on a display or an external alarm device by the server to inform a background maintainer to overhaul the solar panel.
According to the detection method for the fault area of the solar panel, the fault area and the position of the fault area can be effectively and accurately detected, the fault area can be monitored in real time through the server, the solar panel in the area can be controlled to stop working through the server, for example, a control instruction is sent to control a circuit switch connected with the solar panel, overhaul information is sent to a client carried by an overhaul worker, the overhaul worker is arranged to overhaul, the overhaul worker can accurately find the position of the fault area according to the information sent by the server, the solar panel in the area is maintained, for example, the solar panel in the area is replaced, the overhaul efficiency is effectively improved, and the expansion of the range of the fault area of the solar panel is further prevented.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (7)
1. The solar panel fault detection method is characterized by comprising the following steps of:
step S1), obtaining a thermal imaging picture of any sampling area on a solar panel;
step S2), converting the thermal imaging picture into a temperature value picture;
step S3) detecting whether a fault area exists in the area according to the temperature value picture;
after step S3), further comprising the steps of:
step S4) calculating the position of the fault area and/or sending out an alarm signal;
step S5) transmitting the position of the fault area and/or the alarm signal to a server;
in step S4), the position of the fault area is calculated, including the steps of:
step S601), acquiring a real-time picture of the sampling area on the upper surface of the solar panel;
step S602), the isotherm in the temperature value picture is projected to the real-time picture, and the real-time picture with the isotherm is obtained; and
step S603), calculating the position of a fault area according to the real-time picture with the isotherm;
in step S601), the real-time picture of the sampling area includes identifiable longitude and latitude lines, and longitude values and latitude values of all the longitude and latitude lines in the sampling area can be identified from the longitude and latitude lines;
step S602), the isotherm includes a threshold isotherm representing a preset temperature threshold, and a portion surrounded by the threshold isotherm in the sampling region is a fault region;
said step S603) comprises the steps of:
step S6031), acquiring the intersection point of the warp and weft lines in the real-time picture and a threshold isotherm;
step S6032), calculating the coordinates of the crossing points, and combining the coordinates into a crossing point coordinate set;
step S6033), sorting the abscissa and the ordinate of all the crossing points according to the numerical values, and calculating the minimum threshold and the maximum threshold of the abscissa and the ordinate of the crossing points; and
step S6034) obtains the position of the fault area, that is, the threshold range of the abscissa and the ordinate of the intersection.
2. The method for detecting a failure of a solar panel according to claim 1, wherein,
the step S2) includes the steps of:
step S201), calculating the gray value of each pixel point on the thermal imaging picture, and converting the thermal imaging picture into a gray picture; and
step S202) calculating the temperature value of each pixel point according to the gray value of each pixel point on the gray picture, and converting the gray picture into a temperature value picture; and an isotherm is arranged on the temperature value picture.
3. The method for detecting a failure of a solar panel according to claim 1, wherein,
the step S3) includes the steps of:
step 301), sequentially calculating the difference values between the temperature values of all the pixel points of the temperature value picture and a preset temperature threshold value; and
step S302) sequentially comparing all the differences with 0; if all the differences are smaller than 0, judging that no fault exists in the area; and if any difference value is greater than or equal to 0, judging that a fault area exists in the area.
4. A solar panel fault detection system is characterized by comprising
The thermal imaging picture acquisition unit is used for acquiring a thermal imaging picture of any sampling area on the solar panel;
the picture conversion unit is used for converting the thermal imaging picture into a temperature value picture; and
the fault detection unit is used for detecting whether a fault area exists in the area according to the temperature value picture;
and also comprises
A fault region identification unit for identifying the position of the fault region; and/or the number of the groups of groups,
the alarm unit is used for sending out an alarm signal; and
the communication unit is used for transmitting the position of the fault area and/or the alarm signal to a server;
the fault region identification unit includes:
the real-time picture acquisition unit is used for acquiring real-time pictures of the sampling area on the upper surface of the solar panel;
the picture integration unit is used for projecting the isotherm in the temperature value picture to the real-time picture and acquiring the real-time picture with the isotherm; and
the fault area calculating unit is used for calculating the position of the fault area according to the real-time picture with the isotherm;
the real-time picture of the sampling area comprises identifiable longitude and latitude lines, and longitude values and latitude values of all the longitude and latitude lines in the sampling area can be identified from the longitude and latitude lines;
the isotherm comprises a threshold isotherm representing a preset temperature threshold, and the part surrounded by the threshold isotherm in the sampling area is a fault area;
the fault region calculation unit includes:
the intersection point acquisition unit is used for acquiring intersection points of the warp and weft lines in the real-time picture and the threshold isothermal line;
the coordinate calculation unit is used for calculating the coordinates of the crossing points and combining the coordinates into a crossing point coordinate set;
the coordinate threshold calculating unit is used for sequencing the abscissas and the ordinates of all the crossing points according to the values, and calculating the minimum threshold and the maximum threshold of the abscissas and the ordinates of the crossing points;
the fault region acquisition unit is used for acquiring the position of the fault region, namely, the threshold range of the abscissa and the ordinate of the intersection point.
5. The solar panel failure detection system of claim 4, wherein,
the picture conversion unit includes:
the gray level calculating unit is used for calculating the gray level value of each pixel point on the thermal imaging picture and converting the thermal imaging picture into a gray level picture; and
the temperature calculating unit is used for calculating the temperature value of each pixel point according to the gray value of each pixel point on the gray image and converting the gray image into a temperature value image; and an isotherm is arranged on the temperature value picture.
6. The solar panel failure detection system of claim 4, wherein,
the fault detection unit includes:
the temperature difference calculating unit is used for sequentially calculating the difference value between the temperature values of all the pixel points of the temperature value picture and a preset temperature threshold value; and
the fault area judging unit is used for comparing all the difference values with a preset tolerance value in sequence; if all the differences are smaller than 0, judging that no fault exists in the area; and if any difference value is greater than or equal to 0, judging that a fault area exists in the area.
7. A robot traveling or stopping on a solar panel comprising the solar panel fault detection system of any one of claims 4-6.
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| CN108880467A (en) * | 2018-07-25 | 2018-11-23 | 广东石油化工学院 | A kind of photovoltaic module On-line Fault monitoring method |
| CN108832885B (en) * | 2018-08-21 | 2023-12-01 | 佛山职业技术学院 | Photovoltaic module cleaning robot |
| CN108809258A (en) * | 2018-08-21 | 2018-11-13 | 佛山职业技术学院 | A kind of photovoltaic module hot spot detecting system and hot spot detection method |
| FR3087523B1 (en) | 2018-10-23 | 2021-01-08 | Commissariat Energie Atomique | PROCESS FOR DETECTION AND LOCATION OF A FAULT IN A THERMAL SOLAR FIELD |
| CN113110177B (en) * | 2021-04-15 | 2024-03-19 | 远景智能国际私人投资有限公司 | Monitoring method, monitoring equipment and monitoring system of photovoltaic power station |
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