The life cycle of photovoltaic power station is generally as high as 25 years. Because it is installed outdoors, it has to experience the changes of years and environmental pollution. For photovoltaic power stations, dust pollution is an important factor affecting power generation. It will not only reduce the amount of light irradiation accepted by the components, affect the system efficiency and reduce power generation, but also cause heat spot effect, cause power loss, affect the life of the components, and cause security risks.
Therefore, in the operation and maintenance of power stations, the cleaning of photovoltaic modules is particularly important. At present, there are three common cleaning methods: 1. Manual cleaning, 2. Semi-automatic cleaning of equipment (manual + sweeper), 3. The robot cleans automatically. However, at present, the qualification level and service price of enterprises participating in photovoltaic power station module cleaning service are uneven, the cost of workers is getting higher and higher, and enterprises often can not find workers and other problems are increasingly prominent. Therefore, the way of manual cleaning and automatic cleaning equipment will be out of the market, and the operation and maintenance of photovoltaic power stations will gradually develop to the direction of automation and intelligence. As one of the main tools of intelligent operation and maintenance, photovoltaic cleaning robot can not only solve a series of problems existing in traditional manual cleaning, improve power generation and income, but also have a good return on investment, which effectively promotes the de-artificial operation and maintenance of power stations.
Since 2012, China has been conducting research on module cleaning technology, combining advanced foreign technologies with domestic photovoltaic power plants, and developing a variety of mechanical cleaning technologies. At present, the photovoltaic cleaning robot produced by Todos can easily realize the single-row cleaning and cross-row cleaning of the robot, and the overall dust cleaning rate is more than 98%, truly becoming the cleaning expert on the photovoltaic panel.
