Photovoltaic panel body abnormity monitoring equipment

Abstract

The invention relates to a photovoltaic panel abnormity monitoring device, which comprises a signal extraction device used for sending a first monitoring signal when monitoring that a photovoltaic panel is in an electric energy storage mode currently, and sending a second monitoring signal if the photovoltaic panel is not in the electric energy storage mode currently; the numerical analysis device is used for sending out a panel pollution confirmation signal when the standard deviation of each brightness numerical value is greater than or equal to a set standard deviation limit; and the number transmission device is used for packaging and transmitting the plate surface pollution confirming signal and the plate body number corresponding to the photovoltaic plate body closest to the time-sharing snapshot device together. According to the invention, only when the photovoltaic panel body is monitored to be in the electric energy storage mode at present, the photovoltaic panel body abnormity monitoring equipment can adopt the set frame rate to execute the time-sharing snapshot operation on the photovoltaic panel body so as to trigger visual data analysis of the photovoltaic panel body and intelligent detection of the cleaning degree of the surface of the panel body; therefore, state detection precision and equipment energy consumption reduction are both considered.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic panels, and in particular to a photovoltaic panel abnormality monitoring device. Background Art

[0002] Photovoltaic panels can be made into different shapes and connected to generate more electricity. Photovoltaic panels are used on rooftops and building surfaces, and are even used as part of windows, skylights or shading devices. These photovoltaic facilities are usually called building-attached photovoltaic equipment.

[0003] The photoelectric conversion efficiency of monocrystalline silicon solar cells is about 15%, and the highest reaches 24%, which is the highest among all types of solar cells. However, the production cost is very high, so it cannot be widely and generally used. Since monocrystalline silicon is generally encapsulated with tempered glass and waterproof resin, it is strong and durable, and its service life can generally reach 15 years, and up to 25 years.

[0004] Solar AC power generation equipment is composed of solar panels, charge controller, inverter and battery; solar DC power generation equipment does not include inverter. In order for solar power generation equipment to provide sufficient power for the load, it is necessary to reasonably select various components according to the power of the electrical appliances. The following is an example of a 100W output power used for 6 hours a day to introduce the calculation method: if the conversion efficiency of the inverter is 90%, when the output power is 100W, the actual required output power should be 100W / 90%=111W; if it is used for 5 hours a day, the power consumption is 111W*5 hours=555Wh.

[0005] Since the cleanliness of the photovoltaic panel surface directly affects the photovoltaic panel's photoelectric conversion efficiency, it is necessary to pay special attention to the cleanliness of the photovoltaic panel surface. However, the existing technology summarizes the monitoring mechanism of the photovoltaic panel surface cleanliness as a 24-hour continuous monitoring mechanism, and lacks a high-precision analysis mechanism for the cleanliness of the photovoltaic panel surface. Summary of the invention

[0006] In order to solve the technical problems in the prior art, the present invention provides a photovoltaic panel abnormality monitoring device, which can perform time-sharing snapshot operations on the photovoltaic panel at a set frame rate only when it is detected that the photovoltaic panel is currently in an energy storage mode, so as to trigger visual data analysis of the photovoltaic panel and intelligent detection of the cleanliness of the panel surface, thereby reducing the power consumption of the entire monitoring device. What is particularly critical is that the brightness values ​​corresponding to each pixel point inside the image block occupied by the panel surface of the photovoltaic panel closest to the visual acquisition device are obtained, and when the standard deviation of each brightness value is greater than or equal to the set standard deviation limit, a panel surface contamination confirmation signal is issued to confirm that the panel surface is partially contaminated by dust or snow, and when the standard deviation of each brightness value is less than the set standard deviation limit, a suspected panel surface cleaning signal is issued to preliminarily judge that the panel surface is either fully covered by dust or snow, or the entire panel surface remains clean, providing key reference information for subsequent manual confirmation.

[0007] According to the present invention, a photovoltaic panel abnormality monitoring device is provided, the device comprising: A signal extraction device is connected to the photovoltaic panel body, and is used to send a first monitoring signal when it is detected that the photovoltaic panel body is currently in an energy storage mode, and is also used to send a second monitoring signal when it is detected that the photovoltaic panel body is currently in a sleep mode; A time-sharing snapshot device, connected to the signal extraction device, for performing a time-sharing snapshot operation on the photovoltaic panel body at a set frame rate upon receiving the first monitoring signal, so as to obtain and output a real-time snapshot image corresponding to a current timestamp; A directional blurring device, connected to the time-sharing capture device, for performing directional blurring processing on the received real-time capture image to obtain and output a corresponding directional blurring image; A smoothing filter device, connected to the directional blurring device, for performing edge-preserving smoothing filter processing on the received directional blurring image to obtain and output a corresponding smoothing filter image; An image enhancement device, connected to the smoothing filter device, for performing image enhancement processing based on logarithmic transformation on the received smoothing filter image to obtain and output a corresponding logarithmic enhanced image; a numerical analysis device connected to the image enhancement device, for identifying a plurality of image blocks matching the standard outer contour of the panel surface of the photovoltaic panel body from the received logarithmic enhanced image based on the standard outer contour of the panel surface of the photovoltaic panel body, taking the image block with the smallest overall depth of field value among the plurality of image blocks as the image block occupied by the panel surface of the photovoltaic panel body closest to the time-sharing capture device, obtaining the brightness values ​​corresponding to the respective pixel points inside the image block occupied by the panel surface of the photovoltaic panel body closest to the time-sharing capture device, and issuing a panel surface contamination confirmation signal when the standard deviation of the brightness values ​​is greater than or equal to the set standard deviation limit, and issuing a suspected panel surface cleaning signal when the standard deviation of the brightness values ​​is less than the set standard deviation limit; A number transmission device, connected to the numerical analysis device, is used to package the confirmed panel contamination signal or the suspected panel clean signal together with the panel number corresponding to the photovoltaic panel closest to the time-sharing capture device and transmit them to a remote manual monitoring display screen; Among them, the confirmed panel surface contamination signal or the suspected panel surface cleaning signal is packaged together with the panel body number corresponding to the photovoltaic panel body closest to the time-sharing capture device and then transmitted to the remote manual monitoring display screen, including: after the confirmed panel surface contamination signal or the suspected panel surface cleaning signal is packaged together with the panel body number corresponding to the photovoltaic panel body closest to the time-sharing capture device into an IP data packet, the IP data packet is transmitted to the remote manual monitoring display screen via a wireless network.

[0008] Therefore, the present invention has at least the following beneficial technical effects: Technical effect A: Only when it is detected that the photovoltaic panel is currently in the power reserve mode, the set frame rate is used to perform time-sharing snapshot operations on the photovoltaic panel to trigger visual data analysis of the photovoltaic panel and intelligent detection of the cleanliness of the panel surface, thereby reducing the power consumption of the entire monitoring device; Technical effect B: Obtain the brightness values ​​corresponding to each pixel point in the image block occupied by the panel of the photovoltaic panel closest to the visual acquisition device, and when the standard deviation of each brightness value is greater than or equal to the set standard deviation limit, send a confirmation panel surface contamination signal to confirm that the panel surface is partially contaminated by dust or snow, and when the standard deviation of each brightness value is less than the set standard deviation limit, send a suspected panel surface clean signal to preliminarily judge whether the panel surface is fully covered by dust or snow, or the entire panel surface remains clean, providing key reference information for subsequent manual confirmation; Technical effect C: Based on the standard outer contour of the photovoltaic panel surface, multiple image blocks that match the standard outer contour of the photovoltaic panel surface are identified from the logarithmic enhanced image, and the image block with the smallest overall depth of field value among the multiple image blocks is used as the image block occupied by the photovoltaic panel surface closest to the visual acquisition device, thereby completing the targeted visual analysis of the photovoltaic panel closest to the visual selection of multiple photovoltaic panels.

[0009] The photovoltaic panel abnormality monitoring device of the present invention has a compact structure, is energy-saving and environmentally friendly. Since it can only perform time-sharing snapshot operations on the photovoltaic panel at a set frame rate when it is detected that the photovoltaic panel is currently in the power reserve mode, so as to trigger visual data analysis of the photovoltaic panel and intelligent detection of the cleanliness of the panel surface, thus taking into account both the state detection accuracy and the reduction of equipment energy consumption. DETAILED DESCRIPTION

[0010] The following is a detailed description of an embodiment of the photovoltaic panel abnormality monitoring device of the present invention.

[0011] Example 1

[0012] According to Embodiment 1 of the present invention, a photovoltaic panel abnormality monitoring device is shown, and the device includes: A signal extraction device is connected to the photovoltaic panel body, and is used to send a first monitoring signal when it is detected that the photovoltaic panel body is currently in an energy storage mode, and is also used to send a second monitoring signal when it is detected that the photovoltaic panel body is currently in a sleep mode; Specifically, the signal extraction device is connected to the photovoltaic panel body, and is used to send a first monitoring signal when it is detected that the photovoltaic panel body is currently in an energy storage mode, and is also used to send a second monitoring signal when it is detected that the photovoltaic panel body is currently in a sleep mode. The signal extraction device includes: an SOC device can be selected to implement the signal extraction device, which is connected to the photovoltaic panel body and is used to send a first monitoring signal when it is detected that the photovoltaic panel body is currently in an energy storage mode, and is also used to send a second monitoring signal when it is detected that the photovoltaic panel body is currently in a sleep mode; A time-sharing snapshot device, connected to the signal extraction device, for performing a time-sharing snapshot operation on the photovoltaic panel body at a set frame rate upon receiving the first monitoring signal, so as to obtain and output a real-time snapshot image corresponding to a current timestamp; A directional blurring device, connected to the time-sharing capture device, for performing directional blurring processing on the received real-time capture image to obtain and output a corresponding directional blurring image; A smoothing filter device, connected to the directional blurring device, for performing edge-preserving smoothing filter processing on the received directional blurring image to obtain and output a corresponding smoothing filter image; An image enhancement device, connected to the smoothing filter device, for performing image enhancement processing based on logarithmic transformation on the received smoothing filter image to obtain and output a corresponding logarithmic enhanced image; a numerical analysis device connected to the image enhancement device, for identifying a plurality of image blocks matching the standard outer contour of the panel surface of the photovoltaic panel body from the received logarithmic enhanced image based on the standard outer contour of the panel surface of the photovoltaic panel body, taking the image block with the smallest overall depth of field value among the plurality of image blocks as the image block occupied by the panel surface of the photovoltaic panel body closest to the time-sharing capture device, obtaining the brightness values ​​corresponding to the respective pixel points inside the image block occupied by the panel surface of the photovoltaic panel body closest to the time-sharing capture device, and issuing a panel surface contamination confirmation signal when the standard deviation of the brightness values ​​is greater than or equal to the set standard deviation limit, and issuing a suspected panel surface cleaning signal when the standard deviation of the brightness values ​​is less than the set standard deviation limit; A number transmission device, connected to the numerical analysis device, is used to package the confirmed panel contamination signal or the suspected panel clean signal together with the panel number corresponding to the photovoltaic panel closest to the time-sharing capture device and transmit them to a remote manual monitoring display screen; The method of packaging the confirmed panel surface contamination signal or the suspected panel surface cleaning signal together with the panel body number corresponding to the photovoltaic panel body closest to the time-sharing capture device and transmitting the package to a remote manual monitoring display screen includes: packaging the confirmed panel surface contamination signal or the suspected panel surface cleaning signal together with the panel body number corresponding to the photovoltaic panel body closest to the time-sharing capture device into an IP data packet, and transmitting the IP data packet to a remote manual monitoring display screen via a wireless network; Wherein, when the first monitoring signal is received, a time-sharing snapshot operation is performed on the photovoltaic panel body using a set frame rate to obtain and output a real-time snapshot image corresponding to a current timestamp, including: the value of the set frame rate is proportional to the panel area of ​​the photovoltaic panel body; Wherein, the time-sharing capture device is also used to terminate the time-sharing capture operation on the photovoltaic panel body using the set frame rate when receiving the second monitoring signal.

[0013] Example 2

[0014] Embodiment 2 of the present invention shows a photovoltaic panel abnormality monitoring device.

[0015] Different from Example 1, the photovoltaic panel abnormality monitoring device in Example 2 may also include the following components: An operation measurement mechanism, connected to the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device, respectively, for measuring the number of operations per unit time of the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device respectively; Wherein, the operation and measurement mechanism is respectively connected with the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device, and is used to respectively measure the number of operations per unit time of the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device, and comprises: the operation and measurement mechanism comprises a plurality of operation and measurement units, and is used to respectively connect with the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device, so as to respectively measure the number of operations per unit time of the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device; Wherein, the operation and measurement mechanism comprises a plurality of operation and measurement units, which are respectively connected to the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device to respectively measure the number of operations per unit time of the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device, including: the plurality of operation and measurement units are a plurality of operation sensor circuits, which are respectively connected to the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device to respectively measure the number of operations per unit time of the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device; The plurality of operation measurement units are a plurality of operation sensor circuits, which are respectively connected to the directional blur device, the smoothing filter device, the image enhancement device and the numerical analysis device to respectively measure the number of operations per unit time of the directional blur device, the smoothing filter device, the image enhancement device and the numerical analysis device, including: the plurality of operation sensor circuits have the same structure; Among them, the multiple operation measurement units are multiple operation sensor circuits, which are used to be connected to the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device respectively, so as to complete the respective measurements of the number of operations per unit time of the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device. It also includes: the multiple operation sensor circuits have the same operation measurement upper limit value and operation measurement lower limit value.

[0016] Example 3

[0017] Embodiment 3 of the present invention shows a photovoltaic panel abnormality monitoring device.

[0018] Different from Example 1, the photovoltaic panel abnormality monitoring device in Example 3 may also include the following components: A base structure is arranged below the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device, and is used to provide bottom support services for the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device respectively; The base structure is arranged below the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device, and is used to provide bottom support services for the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device respectively, including: a plurality of slots are arranged on the base structure to respectively accommodate the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device; Among them, a plurality of slots are arranged on the base structure to respectively accommodate the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device, including: the opening cross-sectional areas of the plurality of slots are the same to respectively accommodate the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device.

[0019] In addition, in the photovoltaic panel abnormality monitoring device, the image block with the smallest overall depth of field value among the multiple image blocks is used as the image block occupied by the panel surface of the photovoltaic panel closest to the time-sharing capture device, including: for each image block, obtaining each imaging depth of field of each pixel point constituting the image block, removing the maximum value and the minimum value of each imaging depth of field to obtain the remaining multiple imaging depths of field, and calculating the arithmetic mean of the remaining multiple imaging depths of field to obtain the overall depth of field value of the image block.

[0020] It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be achieved depending on design requirements and other factors insofar as they are within the scope of the appended claims or the equivalents thereof.

Claims

1. A photovoltaic panel abnormality monitoring device, It is characterized in that The device comprises: A signal extraction device is connected to the photovoltaic panel body, and is used to send a first monitoring signal when it is detected that the photovoltaic panel body is currently in an energy storage mode, and is also used to send a second monitoring signal when it is detected that the photovoltaic panel body is currently in a sleep mode; A time-sharing snapshot device, connected to the signal extraction device, for performing a time-sharing snapshot operation on the photovoltaic panel body at a set frame rate upon receiving the first monitoring signal, so as to obtain and output a real-time snapshot image corresponding to a current timestamp; A directional blurring device, connected to the time-sharing capture device, for performing directional blurring processing on the received real-time capture image to obtain and output a corresponding directional blurring image; A smoothing filter device, connected to the directional blurring device, for performing edge-preserving smoothing filter processing on the received directional blurring image to obtain and output a corresponding smoothing filter image; An image enhancement device, connected to the smoothing filter device, for performing image enhancement processing based on logarithmic transformation on the received smoothing filter image to obtain and output a corresponding logarithmic enhanced image; a numerical analysis device connected to the image enhancement device, for identifying a plurality of image blocks matching the standard outer contour of the panel surface of the photovoltaic panel body from the received logarithmic enhanced image based on the standard outer contour of the panel surface of the photovoltaic panel body, taking the image block with the smallest overall depth of field value among the plurality of image blocks as the image block occupied by the panel surface of the photovoltaic panel body closest to the time-sharing capture device, obtaining the brightness values ​​corresponding to the respective pixel points inside the image block occupied by the panel surface of the photovoltaic panel body closest to the time-sharing capture device, and issuing a panel surface contamination confirmation signal when the standard deviation of the brightness values ​​is greater than or equal to the set standard deviation limit, and issuing a suspected panel surface cleaning signal when the standard deviation of the brightness values ​​is less than the set standard deviation limit; A number transmission device, connected to the numerical analysis device, is used to package the confirmed panel contamination signal or the suspected panel clean signal together with the panel number corresponding to the photovoltaic panel closest to the time-sharing capture device and transmit them to a remote manual monitoring display screen; Among them, the confirmed panel surface contamination signal or the suspected panel surface cleaning signal is packaged together with the panel body number corresponding to the photovoltaic panel body closest to the time-sharing capture device and then transmitted to the remote manual monitoring display screen, including: after the confirmed panel surface contamination signal or the suspected panel surface cleaning signal is packaged together with the panel body number corresponding to the photovoltaic panel body closest to the time-sharing capture device into an IP data packet, the IP data packet is transmitted to the remote manual monitoring display screen via a wireless network.

2. The photovoltaic panel abnormality monitoring device according to claim 1, Features: When the first monitoring signal is received, a time-sharing snapshot operation is performed on the photovoltaic panel body using a set frame rate to obtain and output a real-time snapshot image corresponding to a current timestamp, including: the value of the set frame rate is proportional to the panel area of ​​the photovoltaic panel body; Wherein, the time-sharing capture device is also used to terminate the time-sharing capture operation on the photovoltaic panel body using the set frame rate when receiving the second monitoring signal.

3. The photovoltaic panel abnormality monitoring device according to claim 2, It is characterized in that The device also includes: An operation measurement mechanism, connected to the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device, respectively, for measuring the number of operations per unit time of the directional blurring device, the smoothing filter device, the image enhancement device and the numerical analysis device respectively; Among them, the operation and measurement mechanism is respectively connected to the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device, and is used to respectively measure the number of operations per unit time of the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device. The operation and measurement mechanism includes a plurality of operation and measurement units, which are respectively connected to the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device to complete the measurement of the number of operations per unit time of the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device.

4. The photovoltaic panel abnormality monitoring device according to claim 3, Features: The operation and measurement mechanism includes a plurality of operation and measurement units, which are used to be respectively connected to the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device to complete the respective measurement of the number of operations per unit time of the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device. The plurality of operation and measurement units are a plurality of operation sensor circuits, which are used to be respectively connected to the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device to complete the respective measurement of the number of operations per unit time of the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device.

5. The photovoltaic panel abnormality monitoring device according to claim 4, Features: The multiple operation measurement units are multiple operation sensor circuits, which are used to be connected to the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device respectively, so as to complete the respective measurements of the number of operations per unit time of the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device, including: the structures of the multiple operation sensor circuits are the same.

6. The photovoltaic panel abnormality monitoring device according to claim 5, Features: The multiple operation measurement units are multiple operation sensor circuits, which are used to be connected to the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device respectively to complete the respective measurements of the number of operations per unit time of the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device. It also includes: the multiple operation sensor circuits have the same operation measurement upper limit value and operation measurement lower limit value.

7. The photovoltaic panel abnormality monitoring device according to any one of claims 3 to 6, It is characterized in that The device also includes: The base structure is arranged below the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device, and is used to provide bottom support services for the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device respectively.

8. The photovoltaic panel abnormality monitoring device according to claim 7, Features: A base structure is arranged below the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device, and is used to provide bottom support services for the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device respectively, including: a plurality of slots are arranged on the base structure to respectively accommodate the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device.

9. The photovoltaic panel abnormality monitoring device according to claim 8, Features: A plurality of slots are arranged on the base structure to respectively accommodate the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device, including: the opening cross-sectional areas of the plurality of slots are the same to respectively accommodate the directional blurring device, the smoothing filtering device, the image enhancement device and the numerical analysis device.