Solar photovoltaic panel intelligent detection processing system based on big data

Abstract

The invention discloses a solar photovoltaic panel intelligent detection processing system based on big data. The solar photovoltaic panel intelligent detection processing system comprises an environmental parameter acquisition module, a current acquisition module, a voltage acquisition module, a temperature acquisition module, a data distribution module, a conversion analysis module, an attachment judgment module, a data processing module, a guide clearing module and a protection shielding module. According to the invention, the temperature of a photovoltaic panel is analyzed and processed; whether the temperature of the photovoltaic panel is abnormal or not is judged; further, whether sundries are attached to the photovoltaic panel or not can be accurately judged; the damage degree of the attached sundries to the photovoltaic panel is judged; and the data processing module is used for analyzing the damage coefficient of the photovoltaic panel so as to judge whether to control the guide clearing module to clear the sundries causing damage to the photovoltaic panel or not and control the protection shielding module to shield rain or not, so that the photoelectric conversion efficiency reduction speed is greatly reduced, the system is intelligent, and the service life of the photovoltaic panel is prolonged.

Description

Technical field [0001] The invention belongs to the technical field of photovoltaic panels, and relates to an intelligent detection and processing system for solar photovoltaic panels based on big data. Background technique [0002] Photovoltaic panels, also called solar panels, are devices that absorb sunlight and convert solar radiation energy directly or indirectly into electrical energy through photoelectric or photochemical effects. The main material of most photovoltaic panels is "silicon". In application and promotion, photovoltaic panels have gradually become popular in communities and streets, increasing the utilization of light energy. [0003] When the photovoltaic panel is working, once it is covered by sundries such as shading or fallen leaves, the shaded part of the photovoltaic panel acts as an energy consuming device to consume the electricity generated by the unshielded photovoltaic panel in a way of heating, resulting in a much higher temperature in the covered pa...

AI Technical Summary

Problems solved by technology

[0003] When the photovoltaic panel is working, once it is covered by sundries such as shading or fallen leaves, the photovoltaic panel in the shaded part acts as an energy-consuming device and consumes the electricity generated by the unshielded photovoltaic panel in a heat-generating manner, resulting in a much higher temperature in the covered part. For the part that is not covered, as time goes by, the covered part will be obviously burnt and form hot spots. When the hot spot effect reaches a certain level, the solder joints of the photovoltaic panel components will melt, destroying the grid lines, and causing the entire solar module to be damaged. Greatly reduce the power generation rate of photovoltaic panels and greatly shorten the service life of photovoltaic panels. In addition, as photovoltaic panels continue to be in rainwater, they are corroded by rainwater, which accelerates the aging and corrosion of photovoltaic panels, increases the resistance of photovoltaic panels, and reduces photoelectric conversion. efficiency and reduce the service life of the photovoltaic panel. However, the existing technology cannot analyze whether there are sundries attached to the surface of the photovoltaic panel, the degree of damage to the photovoltaic panel caused by the attachment of sundries, and cannot effectively detect the sundries attached to the surface. processing and the inability to protect photovoltaic panels according to whether it rains or not, in order to solve the above problems, an intelligent detection and processing system for solar photovoltaic panels based on big data is now designed

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