Liaoning launches photovoltaic drone inspections, Fuya Intelligent helps reduce costs and increase efficiency

In a farmland in Liaoning, crystalline silicon component panels are neatly arranged, forming an orderly energy oasis and presenting a new green scene. At present, China's photovoltaic manufacturing level, installed photovoltaic power generation capacity and photovoltaic power generation are in a leading position in the world. However, the photovoltaic industry is also facing a series of challenges such as "in-depth development, refined management, and long-term planning"

1. Many challenges faced by the photovoltaic industry

Factors such as lower electricity prices and Internet bidding have caused photovoltaic power stations to face many challenges such as quality, efficiency, operation and maintenance. Once a photovoltaic power plant is put into operation, how to ensure stable and safe operation for 25 years becomes an important issue. Photovoltaic companies urgently need to improve power station revenue through sophisticated operation and maintenance methods, while also improving inspection and maintenance efficiency and enhancing macro-control capabilities.

2. Intelligent new method of photovoltaic drone inspection

In order to solve the problems faced by the photovoltaic industry, Fuya Intelligent cooperates with photovoltaic companies in Liaoning to jointly explore new ways of intelligent photovoltaic drone inspections. The goal of photovoltaic drone inspection is to achieve cost reduction and refined management of photovoltaic power plants, which has become a trend in the industry

In order to meet the inspection needs of photovoltaic operation and maintenance, Fuya Intelligent has designed a fully automatic drone flight system solution. We have set up an automatic take-off and landing site for drones in the photovoltaic site, making full use of its autonomous flight capabilities combined with intelligent identification of photovoltaic components. This innovative solution replaces traditional manual inspection methods with photovoltaic drone inspections, which not only ensures routine inspections, but also improves efficiency and accuracy

3. The key to improving inspection efficiency

Since the photovoltaic power station occupies a large area and the photovoltaic panels are scattered, taking a 100MW photovoltaic power station as an example, there can be as many as 400,000 photovoltaic panel components. The traditional inspection method of "people and vehicles" is both time-consuming and expensive. force. Fuya Intelligent's automated drones improve positioning accuracy and navigation autonomy through RTK technology. Under the premise of safe flight, the drone flies to a reasonable height to detect the photovoltaic panels, overcoming the difficulty of artificial ground access. This solution has been successfully applied in photovoltaic companies, and the inspection efficiency has been significantly improved.

The fourth step is to achieve accurate fault judgment

The photovoltaic drone inspection system automatically detects temperature abnormalities caused by defects such as damage and omission of photovoltaic components by analyzing the image data collected by the drone. This intelligent method improves the detection efficiency and accuracy of users' photovoltaic module detection technology. The geographical information of the power station is obtained through the high-definition aerial base map, and specific object strings are coded and identified to achieve efficient retrieval and association of faults and equipment ledger information.

5. Fully automated closed-loop operation of the fully automatic photovoltaic drone inspection system

The fully automatic photovoltaic drone inspection system brings many benefits, including automated photovoltaic inspection, intelligent automation of background processing, closed-loop inspection process, etc. The system not only carries infrared thermal imaging and visible light equipment on drones to enable high-altitude inspections of photovoltaic power stations, but also achieves intelligent automation of background processing through deep learning architecture and big data analysis methods. The entire inspection process is closed-loop through the intelligent photovoltaic management platform, providing users with a comprehensive solution for photovoltaic inspections.

Through Fuya Intelligent, a new intelligent photovoltaic drone inspection method, Liaoning photovoltaic companies can reduce costs and increase efficiency, improve operation and maintenance efficiency, and lay a solid foundation for the sustainable development of the photovoltaic industry.

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