Crack early warning method and apparatus for glass panel of photovoltaic module, electronic device, and medium

Abstract

The present application relates to the technical field of photovoltaic modules. Provided are a crack early warning method and apparatus for a glass panel of a photovoltaic module, an electronic device, and a medium. The method comprises: acquiring target point cloud data obtained by scanning a target glass panel by means of a target scanner, the target glass panel being a glass panel located at the surface of a photovoltaic module, the target point cloud data comprising color point cloud data and temperature point cloud data, the color point cloud data consisting of color data of all pixel points corresponding to the target glass panel, and the temperature point cloud data consisting of temperature data and position data of all the pixel points corresponding to the target glass panel; on the basis of the color point cloud data, determining an area value of a crack center in the target glass panel; on the basis of the temperature point cloud data, determining shape information of a crack in the target glass panel; on the basis of the area value of the crack center and / or the shape information of the crack, determining a target early warning level; and, according to an early warning mode corresponding to the target early warning level, performing early warning. The method improves the safety of photovoltaic modules.

Description

Photovoltaic module glass plate crack warning method, device, electronic equipment and medium

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on September 19, 2023, with application number 202311212913.5 and application name “Photovoltaic module glass panel crack warning method, device, electronic equipment and medium”, all contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the technical field of photovoltaic modules, and more specifically, to a photovoltaic module glass plate crack warning method, device, electronic equipment and medium. Background Art

[0003] Solar power generation is convenient, efficient, and land-saving, leading to the widespread construction of photovoltaic (PV) plants in the deserts of Northwest China. PV panels within these plants are subject to harsh weather conditions such as dry climates, high temperatures, low rainfall, and sandstorms. In particular, the glass panels of PV panels are susceptible to cracking due to inclement weather and the glass material, which can cause localized hot spots, leading to panel burns and even fires. In this context, the impact of inclement weather and glass material on the normal operation of PV panels is obvious.

[0004] Existing glass panel crack warning methods mostly rely on manual methods. Specifically, on-site personnel inspect, record, and report cracks on each photovoltaic panel. This method, due to subjectivity, can lead to discrepancies in the description and classification of the same crack by different personnel. Furthermore, if cracks develop simultaneously on the glass panels of different photovoltaic panels, some cracks may go undetected in a timely manner.

[0005] Due to the poor timeliness of early warning in existing technologies, photovoltaic modules continue to operate even when the glass panels are severely cracked, which can easily cause fires and pose a technical problem of poor safety.

[0006] Summary of the Invention

[0007] The present application provides a photovoltaic module glass plate crack warning method, device, electronic equipment and medium to solve the technical problem of poor safety caused by the photovoltaic module continuing to operate when the glass plate is severely cracked in the prior art.

[0008] According to a first aspect of the present application, a photovoltaic module glass plate crack early warning method is provided, comprising:

[0009] Obtain target point cloud data obtained by scanning a target glass plate with a target scanner; wherein the target glass plate is a glass plate located on the surface of a photovoltaic module, and the target point cloud data includes color point cloud data and temperature point cloud data, wherein the color point cloud data is composed of color data of all pixels corresponding to the target glass plate, and the temperature point cloud data is composed of temperature data and position data of all pixels corresponding to the target glass plate;

[0010] determining an area value of a center of a crack on the target glass plate according to the color point cloud data, and determining shape information of the crack on the target glass plate according to the temperature point cloud data;

[0011] A target warning level is determined according to the area value of the crack center and / or the shape information of the crack, and a warning is issued according to a warning method corresponding to the target warning level.

[0012] Optionally, determining the area value of the crack center on the target glass plate according to the color point cloud data includes:

[0013] Determining the amount of specified color data in the color point cloud data; wherein the specified color data is a preset RGB color value;

[0014] The amount of the designated color data is determined as an area value of the crack center.

[0015] Optionally, determining the shape information of the crack on the target glass plate according to the temperature point cloud data includes:

[0016] Determining the quantity and position data of specified temperature data in the temperature point cloud data;

[0017] The area value of the crack is determined according to the number of the specified temperature data, and the shape type information and the position information of the crack are determined according to the position data of the specified temperature data.

[0018] Optionally, determining the target warning level according to the area value of the crack center and / or the shape information of the crack includes at least one of the following:

[0019] When the area value of the crack reaches a first preset area threshold, or the area value of the center of the crack reaches a second preset area threshold, a first warning level is generated;

[0020] When the area value of the crack is between the first preset area threshold and the third preset area threshold, or when the area value of the center of the crack is between the second preset area threshold and the fourth preset area threshold, a second warning level is generated; wherein, if the third preset area threshold is greater than the first preset area threshold, and the fourth preset area threshold is greater than the second preset area threshold, the second warning level is higher than the first warning level;

[0021] When the area value of the crack reaches a third preset area threshold, or the area value of the center of the crack reaches a fourth preset area threshold, a third warning level is generated; wherein, the third warning level is higher than the second warning level, and the first preset area threshold, the second preset area threshold, the third preset area threshold and the fourth preset area threshold are all determined based on the shape type information of the crack.

[0022] Optionally, the warning mode corresponding to the first warning level includes a first display mode; the warning mode corresponding to the second warning level includes a second display mode; the warning mode corresponding to the third warning level includes a third display mode and a message sending mode;

[0023] The warning method corresponding to the target warning level includes at least one of the following:

[0024] displaying the position information of the crack in the first display mode;

[0025] displaying the position information of the crack in accordance with the second display mode;

[0026] The location information of the crack is displayed according to the third display mode, and the location information of the crack is sent to the terminal; wherein the output font color provided by the first display mode, the output font color provided by the second display mode, and the output font color provided by the third display mode are different.

[0027] Optionally, after determining the area value of the center of the crack on the target glass plate according to the color point cloud data and determining the shape information of the crack on the target glass plate according to the temperature point cloud data, the method further includes:

[0028] Comparing the area values ​​of the crack center at different time nodes to obtain a first comparison result, and comparing the shape information of the crack at different time nodes to obtain a second comparison result;

[0029] The motion information of the crack is obtained according to the first comparison result and / or the second comparison result.

[0030] Optionally, the photovoltaic assembly includes a photovoltaic panel, the photovoltaic panel is a double-glass bifacial assembly, and the double-glass bifacial assembly includes a first glass plate, a first adhesive layer, a silicon crystal plate, a second adhesive layer, and a second glass plate connected in sequence from top to bottom;

[0031] The target glass plate is the first glass plate and / or the second glass plate.

[0032] According to a second aspect of the present application, a photovoltaic module glass plate crack warning device is provided, comprising:

[0033] an acquisition module, configured to acquire target point cloud data obtained by scanning a target glass plate with a target scanner; wherein the target glass plate is a glass plate located on the surface of a photovoltaic module, and the target point cloud data includes color point cloud data and temperature point cloud data, wherein the color point cloud data is composed of color data of all pixels corresponding to the target glass plate, and the temperature point cloud data is composed of temperature data and position data of all pixels corresponding to the target glass plate;

[0034] a determination module, configured to determine an area value of a center of a crack on the target glass plate according to the color point cloud data, and determine shape information of the crack on the target glass plate according to the temperature point cloud data;

[0035] The early warning module is used to determine a target early warning level according to the area value of the crack center and / or the shape information of the crack, and to issue an early warning according to the early warning method corresponding to the target early warning level.

[0036] According to a third aspect of the present application, there is provided an electronic device, comprising: at least one processor and a memory;

[0037] The memory stores computer-executable instructions;

[0038] The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the photovoltaic module glass plate crack warning method as described in the first aspect above.

[0039] According to a fourth aspect of the present application, a computer-readable storage medium is provided, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement the photovoltaic module glass plate crack warning method as described in the first aspect above.

[0040] According to a fifth aspect of the present application, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the photovoltaic module glass plate crack warning method described in the first aspect.

[0041] The present application provides a photovoltaic module glass plate crack warning method, device, electronic device and medium, including: obtaining target point cloud data obtained by scanning a target glass plate with a target scanner; wherein the target glass plate is a glass plate located on the surface of the photovoltaic module, and the target point cloud data includes color point cloud data and temperature point cloud data; the color point cloud data is composed of color data of all pixel points corresponding to the target glass plate, and the temperature point cloud data is composed of temperature data and position data of all pixel points corresponding to the target glass plate; determining the area value of the crack center on the target glass plate based on the color point cloud data, and determining the shape information of the crack on the target glass plate based on the temperature point cloud data; determining the target warning level based on the area value of the crack center and / or the shape information of the crack, and issuing a warning according to the warning method corresponding to the target warning level.

[0042] The color point cloud data and temperature point cloud data in the above method are both highly accurate and high-resolution, and can fully restore the size, shape, type, and size of cracks in photovoltaic module glass panels in real-world scenarios. Based on this, the present application uses color point cloud data to determine the area value of the crack center on the target glass panel, and uses temperature point cloud data to determine the shape information of the crack on the target glass panel. This allows for the extraction of various crack information, accurate and rapid crack warning classification, and thus ensures the safety of photovoltaic modules.

[0043] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0045] FIG1 is a schematic diagram of a process for warning cracks in a photovoltaic module glass plate provided by an embodiment of the present application;

[0046] FIG2 is a schematic diagram of the operation of a target scanner provided in an embodiment of the present application;

[0047] FIG3 is a schematic flow chart of another photovoltaic module glass plate crack warning method provided in an embodiment of the present application;

[0048] FIG4 is a schematic structural diagram of a photovoltaic module glass plate crack warning device provided in an embodiment of the present application;

[0049] FIG5 is a schematic structural diagram of an electronic device provided in an embodiment of the present application.

[0050] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0051] Exemplary embodiments are described in detail herein, with examples illustrated in the accompanying drawings. When the following description refers to the drawings, identical numerals in different drawings represent identical or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with this application.

[0052] Existing glass panel crack warning methods mostly rely on manual methods. Specifically, on-site personnel inspect, record, and report cracks on each photovoltaic panel. This method, due to subjectivity, can lead to discrepancies in the description and classification of the same crack by different personnel. Furthermore, if cracks develop simultaneously on the glass panels of different photovoltaic panels, some cracks may go undetected in a timely manner.

[0053] Due to the poor timeliness of early warning in existing technologies, photovoltaic modules continue to operate even when the glass panels are severely cracked, which can easily cause fires and pose a technical problem of poor safety.

[0054] In order to solve the above technical problems, the overall inventive concept of this application is to provide a method for improving the safety of photovoltaic modules in the field of photovoltaic modules.

[0055] The following specific embodiments describe in detail the technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0056] Example 1:

[0057] FIG1 is a flow chart of a photovoltaic module glass plate crack warning method provided by an embodiment of the present application. As shown in FIG1 , the method of this embodiment includes the following steps:

[0058] S10. Obtain target point cloud data obtained by scanning a target glass plate with a target scanner. The target glass plate is a glass plate located on the surface of a photovoltaic module. The target point cloud data includes color point cloud data and temperature point cloud data. The color point cloud data comprises color data of all pixels corresponding to the target glass plate, and the temperature point cloud data comprises temperature data and position data of all pixels corresponding to the target glass plate. The temperature point cloud data is also called position point cloud data.

[0059] It should be understood that the target point cloud data can be understood as crack feature point cloud data, and the photovoltaic module can refer to the photovoltaic module at the target observation point within the area where the photovoltaic station is located. The photovoltaic module can be composed of screw piles, photovoltaic panels, and photovoltaic brackets, so the photovoltaic module surface can refer to the components on the surface of the photovoltaic panel. The area where the photovoltaic station is located can also be called the photovoltaic field area.

[0060] As shown in Figure 2, the target scanner 100 is a 3D laser scanner, also known as a monitor. A terminal device 200, such as a computer, connected to the target scanner 100 is used to acquire, store, and analyze target point cloud data. Power is supplied to the terminal device 200 by a power supply 300, which can also serve as a power source to supply power to the target scanner 100.

[0061] Optionally, the target scanner 100 includes at least one of the following: an RGB device (or RGB camera, color camera), an infrared transmitter, and a 3D depth sensor; wherein the 3D depth sensor is composed of three lenses of an infrared camera (i.e., an infrared camera).

[0062] For example, in a photovoltaic panel, the crystalline silicon cells in the silicon layer are attached to a glass plate. The thickness of the glass plate is generally between 3.2 mm and 8 mm, and the thickness of the crystalline silicon cells can be between 1.5 μm and 2.0 μm. The glass plate can be made of a transparent material, and the infrared camera can illuminate the silicon layer through the glass plate. In addition, the monitor modulates the monitor's RGB pixels into A×B and the infrared pixels into C×D, with a detectable range of 0.5-5 m. The embodiments of this application do not specifically limit the specific values ​​of A, B, C, and D. This embodiment uses the monitor to illuminate the photovoltaic panel from the side, and can not only measure the lateral development of the crack on the surface (i.e., cross-section) of the glass plate (e.g., including width, length, etc.), but can also measure the longitudinal development of the crack on the side of the glass plate (e.g., including depth, etc.).

[0063] In this method, the hardware design of this embodiment mainly includes: photovoltaic modules, 3D laser scanners, and computers. The computer runs computer processing software, which can be open source software (e.g., Visual Studio software). The software calls the OpenCV library (or other libraries, which are not specifically limited in this embodiment of the application) and sets scanning parameters to collect crack feature point cloud data at specified observation points. The collected crack feature point cloud data is then sent to third-party software for analysis to determine various characteristic data of the crack (e.g., crack size, crack shape and type, length of each texture in the crack, depth of each texture in the crack, length of each texture in the crack at a certain time in the future, depth of each texture in the crack at a certain time in the future, etc.), the corresponding warning level of the crack, and the corresponding processing method, thereby improving the accuracy and comprehensiveness of the analysis.

[0064] In addition, the present application can also increase the accuracy of crack warning by setting up point cloud data that only displays crack shape features and point cloud data in white color in computer visualization software; it can also improve the accuracy of crack warning by performing hazard classification and quickly observing point cloud data through third-party software.

[0065] S20 , determining the area value of the center of the crack on the target glass plate according to the color point cloud data, and determining the shape information of the crack on the target glass plate according to the temperature point cloud data.

[0066] It should be understood that the area value of the crack center and the shape information of the crack can both reflect the crack characteristics.

[0067] S30: Determine a target warning level according to the area value of the crack center and / or the shape information of the crack, and issue a warning according to a warning method corresponding to the target warning level.

[0068] The embodiment of the present application does not specifically limit the number of target warning levels, which can be 2, 3, 4, etc.

[0069] The color point cloud data and temperature point cloud data in the above-mentioned method are both highly accurate and high-resolution, and can fully restore the size, shape, type, and size of cracks in photovoltaic module glass panels in real-world scenarios. Based on this, the embodiment of the present application uses color point cloud data to determine the area value of the crack center on the target glass panel, and uses temperature point cloud data to determine the shape information of the crack on the target glass panel. This method can extract various crack information, accurately and quickly implement early warning classification of cracks, and thus ensure the safety of photovoltaic modules.

[0070] In one possible implementation, in step S20, determining the area value of the crack center on the target glass plate based on the color point cloud data includes the following steps:

[0071] S201. Determine the amount of designated color data in the color point cloud data; wherein the designated color data is a preset RGB color value.

[0072] In the embodiment of the present application, the specified color data is white, which can refer to the RGB color value (255, 225, 255), or other color values ​​close to this color value. The embodiment of the present application does not specifically limit the value range of the color value or the number of color values.

[0073] S202: Determine the amount of designated color data as the area value of the crack center.

[0074] It should be understood that the number of designated color data refers to the number of pixels having the designated color data. This application does not specifically limit the method for converting the number of pixels into an area value. If the crack in the glass sheet is caused by an impact, the center of the crack is referred to as the impact center.

[0075] The embodiment of the present application can accurately identify the area value of the center of the crack by specifying the number of color data, thereby providing data support for subsequently accurately determining the warning level corresponding to the crack.

[0076] In a possible implementation, in step S20, determining the shape information of the crack on the target glass plate according to the temperature point cloud data includes the following steps:

[0077] S203: Determine the quantity and position data of the specified temperature data in the temperature point cloud data.

[0078] S204 : Determine the area value of the crack according to the number of the specified temperature data, and determine the shape type information and the position information of the crack according to the position data of the specified temperature data.

[0079] In the embodiment of the present application, the crack shape information includes: the crack area value, the crack shape type information, the crack location information, etc. The crack shape type information includes bull's eye type, star type, long crack type, and combined type. Among them, bull's eye type cracks are mainly caused by the glass plate being hit by a small stone, star type cracks are mainly caused by impact by external objects, long crack type cracks are mainly caused by spontaneous material and environmental influences, and combined type cracks are mainly caused by the crack continuing to develop after the glass plate is hit.

[0080] The collected point cloud data was analyzed using third-party software. The four types of shapes were set as point cloud recognition objects through the combination of an infrared camera and a color camera. The color values ​​were set to white (255, 225, 255). Since the infrared camera illuminates the cracks on the glass plate, which causes refraction and an increase in the point cloud data on the cross section, the cracks were identified by the infrared camera, and the impact center was identified by the color camera.

[0081] The embodiment of the present application can analyze the temperature point cloud data to obtain information such as the area value of the crack, the shape type information of the crack, the location information of the crack, etc., to provide data support for the subsequent accurate determination of the warning level corresponding to the crack.

[0082] In one possible implementation, in step S30, determining a target warning level based on the area value of the crack center and / or the shape information of the crack includes at least one of the following:

[0083] The first item is to generate a first warning level when the area value of the crack reaches a first preset area threshold, or when the area value of the center of the crack reaches a second preset area threshold.

[0084] In the embodiments of the present application, the area value of the crack can be understood as the crack point cloud data, and the area value of the center of the crack can be understood as the white point cloud data. The first preset area threshold is recorded as the N value, and the second preset area threshold is recorded as the Q value. The first warning level is also called the first warning level.

[0085] Item 2: When the crack area is between the first and third preset area thresholds, or when the crack center area is between the second and fourth preset area thresholds, a second warning level is generated. If the third preset area threshold is greater than the first preset area threshold, and the fourth preset area threshold is greater than the second preset area threshold, the second warning level is higher than the first warning level. The third preset area threshold is denoted as the M value, and the fourth preset area threshold is denoted as the K value. The second warning level is also known as the secondary warning level. The N / M value is unrelated to the Q / K value.

[0086] Item 3: When the crack area reaches a third preset area threshold, or the crack center area reaches a fourth preset area threshold, a third warning level is generated. The third warning level is higher than the second warning level and is also known as the third warning level.

[0087] For example, based on the four pre-set crack shapes, when the total number of crack point cloud data reaches the value N, or the white color value reaches the value Q (Q value is less than 1cm2), it indicates that the glass plate is damaged and the damage has a minor impact, only affecting the power generation efficiency. A yellow warning is issued, and it can be temporarily observed later. When the total number of crack point cloud data reaches the interval consisting of the values ​​N to M, and the white color value reaches the interval consisting of the values ​​Q to K, it indicates that the glass plate is damaged and the adhesive layer (or film) connected to the glass plate is also damaged. A blue warning is issued. In this embodiment, the damaged components in the photovoltaic panel of the photovoltaic module can be replaced in time later. When the number of crack point cloud data reaches the value M, and the area composed of the white color value reaches the value K (the K value is greater than 1cm2), it indicates that the glass plate of the photovoltaic module is severely damaged and the silicon layer is damaged. At this time, a fire is likely to occur, and a red warning is issued. For safety reasons, this embodiment can turn off the power, extinguish the fire, and replace the photovoltaic panel in time through the smart device.

[0088] This embodiment can set up in advance in the visualization software only the point cloud data and white point cloud data that display cracks, and set up in advance four crack development shapes in the third-party software, so that in practice the cracks in the photovoltaic module glass plate can be effectively identified, and the real-time observed data is compared with the threshold value set for the warning signal (for example: N, M, Q, K value, etc.) to obtain the comparison result, and then determine the specific level of the warning level according to the comparison result.

[0089] It should be noted that the first preset area threshold, the second preset area threshold, the third preset area threshold and the fourth preset area threshold are all determined according to the shape type information of the crack.

[0090] For example, the preset area thresholds corresponding to the bull's eye type are N1 value, Q1 value, M1 value and K1 value respectively; the preset area thresholds corresponding to the star type are N2 value, Q2 value, M2 value and K2 value respectively; the preset area thresholds corresponding to the long crack type are N3 value, Q3 value, M3 value and K3 value respectively; the preset area thresholds corresponding to the comprehensive type are N4 value, Q4 value, M4 value and K4 value respectively.

[0091] In the embodiment of the present application, the first warning level is used to indicate that the glass plate is damaged but the adhesive layer is not damaged; the second warning level is used to indicate that the adhesive layer is damaged; and the third warning level is used to indicate that the silicon layer is damaged.

[0092] In the embodiment of the present application, the setting of different warning levels can quickly identify the damage caused by cracks in the glass plate, and then provide targeted processing methods, ultimately improving the safety of the safety component.

[0093] In one possible implementation, the warning mode corresponding to the first warning level includes a first display mode; the warning mode corresponding to the second warning level includes a second display mode; the warning mode corresponding to the third warning level includes a third display mode and a message sending mode;

[0094] In step S30, an early warning is issued according to an early warning method corresponding to the target early warning level, including at least one of the following:

[0095] Item 1: Display the location information of the crack in a first display mode.

[0096] Item 2: Display the location information of the crack in a second display mode.

[0097] Item 3: Display the location information of the crack in a third display mode, and send the location information of the crack to the terminal; wherein the output font color provided by the first display mode, the output font color provided by the second display mode, and the output font color provided by the third display mode are different.

[0098] Specifically, this embodiment pre-sets warning levels to include: Level 1, Level 2, and Level 3. Level 1 corresponds to a yellow warning, Level 2 to a blue warning, and Level 3 to a red warning. Different color warnings can be configured for the font color of crack location information, the background color of the PV module icon, or the color of the indicator light on the PV module.

[0099] For example, when the number of crack point cloud data reaches the N value, or the white point cloud data reaches the Q value, a yellow warning signal is issued; when the number of crack point cloud data is between the NM values, or the number of white point cloud data is between the QK values, a blue warning signal is issued; when the number of crack point cloud data reaches the M value and the number of white point cloud data reaches the K value, a red warning signal is issued.

[0100] For example, if the number of crack point cloud data is within the value of N, it means that the glass plate is damaged, and the corresponding warning level for the initiated glass plate is a level one warning. If the number of crack point cloud data is between N and M, it means that the glass plate and film are damaged, and the corresponding warning level for the initiated glass plate is a level two warning. When the number of crack point cloud data reaches the value of M, it means that the silicon wafer is damaged, and the corresponding warning level for the initiated glass plate is a level three warning.

[0101] When a computer monitors cracks in multiple photovoltaic module glass panels and issues warnings for different cracks, this embodiment can display warnings for all cracks using a scroll bar. Alternatively, multiple cracks can be displayed simultaneously on a single interface by strobing the icons corresponding to each photovoltaic module. This embodiment can be customized based on actual circumstances and is not specifically limited in this embodiment.

[0102] Before sending the location information of the crack to the terminal, the embodiment of the present application can bind the name, location and other information of the photovoltaic module with the mobile phone number of the corresponding operation and maintenance personnel to obtain a correspondence table; the mobile phone number of the operation and maintenance personnel can be queried through the correspondence table, and then when the crack of the photovoltaic module glass plate reaches the third level warning, the computer can automatically send a text message to the corresponding mobile phone number through the software. The content of the text message can include the location information of the photovoltaic module, various information and images of the crack of the photovoltaic module glass plate, etc. The embodiment of the present application does not specifically limit the content of the text message.

[0103] The embodiment of the present application can quickly and accurately determine the warning level corresponding to the crack through different warning signals, and then provide a corresponding solution, which can ensure the safety of the photovoltaic components and avoid safety hazards caused by the continued operation of the photovoltaic components under very poor safety conditions. After the operation and maintenance personnel resolve the safety hazards, the photovoltaic power station can be effectively maintained in a stable operation state for a long time.

[0104] In one possible implementation, after determining the area value of the center of the crack on the target glass plate based on the color point cloud data and determining the shape information of the crack on the target glass plate based on the temperature point cloud data, the method further includes the following steps:

[0105] S40 , comparing the area values ​​of the crack center at different time nodes to obtain a first comparison result, and comparing the shape information of the crack at different time nodes to obtain a second comparison result.

[0106] S50: Obtain motion information of the crack according to the first comparison result and / or the second comparison result.

[0107] In the embodiments of the present application, crack motion information may refer to changes in crack length or crack depth. Because a crack contains multiple textures, crack length changes may include changes in texture length, and crack depth changes may refer to changes in texture depth. This crack motion information is used to predict the future time when a photovoltaic module glass panel will crack, allowing replacement of the photovoltaic module glass panel before that time.

[0108] The photovoltaic module glass plate crack warning method provided in this application studies a quantitative method for warning of photovoltaic module glass plate cracking caused by severe weather and glass material. This method is economical, convenient and efficient, and can greatly improve the measurement efficiency and accuracy of predicting photovoltaic module glass plate cracking, effectively avoiding fire accidents in photovoltaic areas, and providing technical support for further monitoring of photovoltaic module glass plate crack warning methods in the future.

[0109] In one possible implementation, the photovoltaic module includes a photovoltaic panel, which is a double-glass bifacial module. The double-glass bifacial module includes a first glass plate, a first adhesive layer, a silicon crystal plate, a second adhesive layer, and a second glass plate connected in sequence from top to bottom; the target glass plate is the first glass plate and / or the second glass plate.

[0110] It should be understood that the double-glass double-sided module is a monocrystalline silicon P-type double-sided double-glass. The double-sided double-glass comprises: a first glass plate, the bottom of the first glass plate is fixedly connected to the top of a first adhesive layer, the bottom of the first adhesive layer is fixedly connected to the top of the silicon crystal plate, the bottom of the silicon crystal plate is fixedly connected to the top of a second adhesive layer, and the bottom of the second adhesive layer is fixedly connected to the top of the second glass.

[0111] The photovoltaic field can use single-crystal silicon P-type double-sided double-glass. The structure of this component is 5 layers, the two surface layers are glass plates, the two inner layers are films, and the middle layer is a silicon wafer. Since the damage of the glass plate can easily lead to cross-sectional damage and depth damage, the thickness of the glass plate is determined to be 3mm-8mm. When the monitor observes the existence of crack point cloud data in the film area, it immediately issues a red warning. It can be seen that the embodiment of the present application can achieve effective identification of cracks in depth.

[0112] The embodiment of the present application provides a photovoltaic module glass plate crack warning method, which uses a three-dimensional laser scanner to set the photovoltaic module glass plate crack shape parameters through a computer program, and then collects the point cloud data of the crack on the surface of the photovoltaic module glass plate and the point cloud data of the crack on the thickness surface of the photovoltaic module glass plate. The entire set of data is transmitted to a third-party software, and the crack is graded according to the point cloud data reflected by the crack size set in the program. When the developing crack causes the photovoltaic module to produce a local hot spot, a red warning signal is immediately issued on the page through the third-party software. At the same time, a message sending mechanism can also be set in the third-party software to send a warning text message to the mobile phone number of the on-duty personnel. The hardware required for this method is simple in structure and easy to use. It can accurately measure the development and change trend of cracks on the photovoltaic module glass plate and predict the time when a fire will occur. Then, the photovoltaic module can be replaced before the time arrives, which can effectively avoid the occurrence of fire and improve the safety of the photovoltaic module.

[0113] Based on the above embodiments, the technical solution of the present application is described in more detail below in combination with several specific embodiments.

[0114] FIG3 is a flow chart of another photovoltaic module glass plate crack warning method provided in an embodiment of the present application. As shown in FIG3 , the method of this embodiment includes the following steps:

[0115] S31. Debug the equipment.

[0116] S32. Monitor photovoltaic panels.

[0117] S33. Save the monitoring data.

[0118] S34. Analyze monitoring data through third-party clients / mobile phones.

[0119] S35. Execute risk factor classification processing.

[0120] S36. Send an early warning signal.

[0121] From the description of steps S31 to S36, it can be seen that the working process of this embodiment is: first, the scanner and the computer are debugged. When the power is on, the program is executed by calling the OpenCV library in the open source software (for example, Visual Studio software). According to the size of the photovoltaic panel in the photovoltaic module, the scanning range (x, y, z) is set through the computer program to control the startup, collection, and storage of the point cloud data of the scanner; after obtaining the data, a hazard classification analysis is performed using third-party software, and the data is displayed in real time in the third-party software, that is, when the area value of the crack reaches the threshold of a certain warning level and / or the area value of the center of the crack reaches the threshold of a certain warning level, the software automatically issues a warning signal corresponding to the warning level.

[0122] In order to improve the effectiveness of the data, the point cloud data obtained by the monitoring instrument in the embodiment of the present application can be preprocessed in third-party software (the preprocessing includes filtering and noise reduction processing to remove irrelevant noise points in the point cloud data). After the preprocessing is completed, the surface observation and depth observation of the glass plate are performed. The warning level corresponding to the crack is determined in the surface observation of the glass plate, and the depth development of the crack and the specific damaged device are determined through depth observation.

[0123] The present application embodiment provides the following two extensions:

[0124] 1. This method has the advantage of preventing fires caused by cracks in the glass panels of photovoltaic modules. The imaging data is relatively accurate. In order to expand the scanning range, this embodiment can set multiple observation points and use multiple scanners to perform fixed-point observations at multiple observation points to achieve a point-to-surface effect, thereby realizing real-time monitoring of the photovoltaic field area, enabling early detection of cracks and focused observation to achieve the effect of fire prevention.

[0125] Second, this embodiment can also achieve three-dimensional laser scanning with a larger scanning range through drone control. By controlling the drone to fly low-altitude scanning, the point cloud data of cracks in the photovoltaic module glass plate can be saved, and the collected data can be uniformly processed and controlled by a computer, which can achieve economical, convenient and efficient results.

[0126] In the above method process, on a monitor that integrates infrared, color, and depth cameras, the three-dimensional point cloud data of the crack shape is obtained by the infrared and depth cameras, and color attributes are added to the point cloud data through a color lens. Therefore, this embodiment can obtain a set of spatial three-dimensional color point cloud data that is the same as the actual crack through the monitor.

[0127] Example 3:

[0128] FIG4 is a schematic diagram of the structure of a photovoltaic module glass plate crack warning device provided in an embodiment of the present application. The device of this embodiment can be in the form of software and / or hardware. As shown in FIG4 , the photovoltaic module glass plate crack warning device provided in this embodiment includes: an acquisition module 41, a determination module 42, and an early warning module 43. Among them:

[0129] An acquisition module 41 is used to acquire target point cloud data obtained by scanning a target glass plate with a target scanner; wherein the target glass plate is a glass plate located on the surface of a photovoltaic module, and the target point cloud data includes color point cloud data and temperature point cloud data. The color point cloud data is composed of color data of all pixel points corresponding to the target glass plate, and the temperature point cloud data is composed of temperature data and position data of all pixel points corresponding to the target glass plate.

[0130] The determination module 42 is configured to determine the area value of the center of the crack on the target glass plate according to the color point cloud data, and determine the shape information of the crack on the target glass plate according to the temperature point cloud data.

[0131] The early warning module 43 is used to determine a target early warning level according to the area value of the crack center and / or the shape information of the crack, and to issue an early warning in an early warning manner corresponding to the target early warning level.

[0132] In a possible implementation, the determining module 42 is further configured to:

[0133] Determine the amount of specified color data in the color point cloud data; wherein the specified color data is a preset RGB color value.

[0134] Determines the amount of specified color data as the area value at the center of the crack.

[0135] In a possible implementation, the determining module 42 is further configured to:

[0136] Determine the quantity and location data of specified temperature data in the temperature point cloud data.

[0137] The area value of the crack is determined according to the number of the specified temperature data, and the shape type information of the crack and the position information of the crack are determined according to the position data of the specified temperature data.

[0138] In a possible implementation, the early warning module 43 is further configured to:

[0139] When the area value of the crack reaches a first preset area threshold, or the area value of the center of the crack reaches a second preset area threshold, a first warning level is generated;

[0140] When the area value of the crack is between the first preset area threshold and the third preset area threshold, or when the area value of the center of the crack is between the second preset area threshold and the fourth preset area threshold, a second warning level is generated; wherein, if the third preset area threshold is greater than the first preset area threshold, and the fourth preset area threshold is greater than the second preset area threshold, the second warning level is higher than the first warning level;

[0141] When the area value of the crack reaches the third preset area threshold, or the area value of the center of the crack reaches the fourth preset area threshold, a third warning level is generated; wherein, the third warning level is higher than the second warning level, and the first preset area threshold, the second preset area threshold, the third preset area threshold and the fourth preset area threshold are all determined based on the shape type information of the crack.

[0142] In one possible implementation, the warning mode corresponding to the first warning level includes a first display mode; the warning mode corresponding to the second warning level includes a second display mode; and the warning mode corresponding to the third warning level includes a third display mode and a message sending mode. The warning module 43 is further configured to:

[0143] The position information of the crack is displayed in a first display mode.

[0144] The position information of the crack is displayed in a second display manner.

[0145] The location information of the crack is displayed in a third display mode and sent to the terminal; wherein the output font color provided by the first display mode, the output font color provided by the second display mode and the output font color provided by the third display mode are different.

[0146] In one possible implementation, after determining the area of ​​the crack center on the target glass plate based on the color point cloud data and determining the shape of the crack on the target glass plate based on the temperature point cloud data, the photovoltaic module glass plate crack warning device is further configured to:

[0147] The first comparison result is obtained by comparing the area values ​​of the crack center at different time nodes, and the second comparison result is obtained by comparing the shape information of the crack at different time nodes.

[0148] The motion information of the crack is obtained according to the first comparison result and / or the second comparison result.

[0149] In one possible implementation, a photovoltaic module includes a photovoltaic panel, which is a double-glass bifacial module. The double-glass bifacial module includes a first glass plate, a first adhesive layer, a silicon crystal plate, a second adhesive layer, and a second glass plate connected in sequence from top to bottom; the target glass plate is the first glass plate and / or the second glass plate.

[0150] The photovoltaic module glass plate crack warning device provided in this embodiment can be used to execute the photovoltaic module glass plate crack warning method provided in any of the above method embodiments. Its implementation principles and technical effects are similar and will not be described in detail here.

[0151] It should be noted that the user information and data involved in this application (including but not limited to data used for analysis, stored data, displayed data, etc.) are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0152] That is to say, in the technical solution of this application, the collection, storage, use, processing, transmission, provision and disclosure of user personal information involved are in compliance with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0153] According to an embodiment of the present application, the present application also provides an electronic device and a readable storage medium.

[0154] Figure 5 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device includes a receiver 50, a transmitter 51, at least one processor 52, and a memory 53. The electronic device composed of the above components can be used to implement the above-mentioned specific embodiments of the present application, which will not be repeated here.

[0155] An embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored. When a processor executes the computer-executable instructions, each step of the method in the above embodiment is implemented.

[0156] An embodiment of the present application further provides a computer program product, including a computer program, which implements each step of the method in the above embodiment when executed by a processor.

[0157] Various embodiments of the systems and techniques described above in this application can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard parts (ASSPs), system-on-chip systems (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0158] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. Such program code can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or electronic device.

[0159] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store a program for use by an instruction execution system, device or equipment or used in combination with an instruction execution system, device or equipment. A computer-readable storage medium can be a machine-readable signal medium or a machine-readable storage medium. A computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. A more specific example of a computer-readable storage medium can include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0160] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a cathode ray tube (CRT) or a liquid crystal display (LCD) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0161] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as data electronics), or a computing system that includes middleware components (e.g., application electronics), or a computing system that includes front-end components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with embodiments of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0162] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this application can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this application can be achieved. This is not a limitation herein.

[0163] The above specific embodiments do not constitute a limitation on the scope of protection of this application. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the principles of this application shall be included within the scope of protection of this application.

Claims

1. A photovoltaic module glass plate crack warning method, characterized in that: include: Obtain target point cloud data obtained by scanning a target glass plate with a target scanner; wherein the target glass plate is a glass plate located on the surface of a photovoltaic module, and the target point cloud data includes color point cloud data and temperature point cloud data, wherein the color point cloud data is composed of color data of all pixel points corresponding to the target glass plate, and the temperature point cloud data is composed of temperature data and position data of all pixel points corresponding to the target glass plate; Determine the area value of the center of the crack on the target glass plate according to the color point cloud data, and determine the shape information of the crack on the target glass plate according to the temperature point cloud data; The target warning level is determined according to the area value of the crack center and / or the shape information of the crack, and a warning is issued according to the warning method corresponding to the target warning level.

2. The method according to claim 1, characterized in that Determining the area value of the crack center on the target glass plate according to the color point cloud data includes: Determine the quantity of the specified color data in the color point cloud data; wherein the specified color data is a preset RGB color value; The amount of the designated color data is determined as an area value of the crack center.

3. The method according to claim 1 or 2, characterized in that: The determining the shape information of the crack on the target glass plate according to the temperature point cloud data includes: Determining the quantity and position data of specified temperature data in the temperature point cloud data; The area value of the crack is determined according to the quantity of the specified temperature data, and the shape type information of the crack and the position information of the crack are determined according to the position data of the specified temperature data.

4. The method according to any one of claims 1 to 3, characterized in that: The determining of the target warning level according to the area value of the crack center and / or the shape information of the crack includes at least one of the following: When the area value of the crack reaches a first preset area threshold, or the area value of the center of the crack reaches a second preset area threshold, a first warning level is generated; When the area value of the crack is between the first preset area threshold and the third preset area threshold, or the area value of the center of the crack is between the second preset area threshold and the fourth preset area threshold, a second warning level is generated; wherein the third preset area threshold is greater than the first preset area threshold, the fourth preset area threshold is greater than the second preset area threshold, and the second warning level is higher than the first warning level; When the area value of the crack reaches a third preset area threshold, or the area value of the center of the crack reaches a fourth preset area threshold, a third warning level is generated; wherein, the third warning level is higher than the second warning level, and the first preset area threshold, the second preset area threshold, the third preset area threshold and the fourth preset area threshold are all determined based on the shape type information of the crack.

5. The method according to any one of claims 1 to 4, characterized in that: The warning mode corresponding to the first warning level includes the first display mode; the warning mode corresponding to the second warning level includes the second display mode; the warning mode corresponding to the third warning level includes the third display mode and the message sending mode; Then the warning is issued according to the warning method corresponding to the target warning level, including at least one of the following: Displaying the location information of the crack in the first display mode; Displaying the position information of the crack according to the second display mode; The position information of the crack is displayed according to the third display mode, and the position information of the crack is sent to to a terminal; wherein the output font color provided by the first display mode, the output font color provided by the second display mode, and the output font color provided by the third display mode are different.

6. The method according to any one of claims 1 to 5, characterized in that: After determining the area value of the center of the crack on the target glass plate according to the color point cloud data and determining the shape information of the crack on the target glass plate according to the temperature point cloud data, the method further includes: Compare the area values ​​of the crack center at different time nodes to obtain a first comparison result, and compare the shape information of the crack at different time nodes to obtain a second comparison result; The motion information of the crack is obtained according to the first comparison result and / or the second comparison result.

7. The method according to any one of claims 1 to 6, characterized in that: The photovoltaic assembly includes a photovoltaic panel, the photovoltaic panel is a double-glass double-sided assembly, and the double-glass double-sided assembly includes a first glass plate, a first adhesive layer, a silicon crystal plate, a second adhesive layer, and a second glass plate connected in sequence from top to bottom; The target glass plate is the first glass plate and / or the second glass plate.

8. A photovoltaic module glass plate crack warning device, characterized in that: include: an acquisition module, used for acquiring target point cloud data obtained by scanning a target glass plate by a target scanner; wherein the target glass plate is a glass plate located on the surface of a photovoltaic module, and the target point cloud data includes color point cloud data and temperature point cloud data, wherein the color point cloud data is composed of color data of all pixel points corresponding to the target glass plate, and the temperature point cloud data is composed of temperature data and position data of all pixel points corresponding to the target glass plate; A determination module, configured to determine an area value of a crack center on the target glass plate according to the color point cloud data, and determine shape information of the crack on the target glass plate according to the temperature point cloud data; The early warning module is used to determine the target early warning level according to the area value of the crack center and / or the shape information of the crack, and to issue an early warning in an early warning manner corresponding to the target early warning level.

9. An electronic device, characterized in that: include: at least one processor and memory; The memory stores computer-executable instructions; The at least one processor executes the computer-executable instructions stored in the memory, so that the at least one processor executes the photovoltaic module glass plate crack warning method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the photovoltaic module glass plate crack warning method as described in any one of claims 1 to 7.

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