UAV mounted-based photovoltaic module real-time monitoring system

Abstract

The invention relates to the field of photovoltaic power generation monitoring, in particular to a UAV (Unmanned Aerial Vehicle) mounted-based photovoltaic module real-time monitoring system. The system comprises a data acquisition terminal and a main monitoring station, wherein the data acquisition terminal comprises a sensor unit, an imaging unit, a positioning module, an intelligent computer terminal and a wireless signal transmission module; and the main monitoring station comprises a wireless signal receiving module, a digital signal processor and a monitoring module. In the monitoring system, the data acquisition terminal is mounted on a UAV, and an infrared imaging camera and a visible imaging camera are cooperated, so that various inner detections on dust, crack damage, occlusion and the like of a photovoltaic module can be realized; and moreover, the intelligent computer terminal is mounted on the UAV, so that a damage condition of the photovoltaic module can be determined by a generated heat signal, and examination of problems such as an hot spot effect on the photovoltaic module and precise positioning can be realized at high altitude.

Description

technical field [0001] The invention relates to the field of photovoltaic power generation monitoring, in particular to a real-time monitoring system for photovoltaic modules carried by drones. Background technique [0002] Energy is the material basis of human society and economic development, and a prerequisite for improving people's living standards. Nowadays, fossil energy, which dominates the world's energy structure, is becoming increasingly scarce, and the energy crisis has become increasingly prominent and unavoidable. According to the annual statistics of the world energy market in the "World Energy Statistical Yearbook (2014 Edition)", the global primary energy consumption increased by 2.3%. In the global energy consumption, oil accounted for 32.9%, and coal accounted for 30.1%. , natural gas accounted for 23.7%, a record high decline in nuclear power generation fell 4.4%, regrettably, renewable energy was only 2.7%. By the end of 2013, the global proven oil reser...

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Problems solved by technology

Although the above-mentioned diagnostic methods can detect the faults of the photovoltaic system to a certain extent, there are still some shortcomings, such as: based on the mathematical model method, the model is difficult to establish, and the limitations are large; the intelligent detection method depends on prior knowledge; the infrared image-based The analysis method is greatly disturbed by the environment; the method based on the monitoring system is only suitable for large-scale photovoltaic systems, the cost is high, and the internal faults of the system cannot be detected

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