智慧运维守护塞北绿电长城 无人机助力“沙漠变绿洲”

Core Insights - The article highlights the innovative use of drone technology in the construction and ecological management of the world's first 10 million kilowatt-level renewable energy base located in the Kubuqi Desert, Inner Mongolia [1][2]. Group 1: Renewable Energy Base - The Kubuqi Desert renewable energy base features a vast array of over one million photovoltaic panels, creating a "photovoltaic Great Wall" that serves as a green barrier between the Yellow River and the desert [1]. - The solar power station, with an installed capacity of 1 million kilowatts, occupies an area of 32,000 acres, equivalent to 3,000 standard soccer fields, and includes over 2 million critical devices [2]. Group 2: Operational Challenges - The elevated installation of photovoltaic panels (1.5 meters or more) significantly increases maintenance difficulties compared to traditional projects (0.8 to 1 meter) [2]. - Traditional manual inspections require 180 days to complete a full inspection of the solar power station, which is impractical given the vast area and complex internal roadways [2]. Group 3: Drone Technology Implementation - Drone-based inspections have improved efficiency, allowing for the inspection of approximately 30,000 photovoltaic components daily, completing the entire station inspection in 36 days, which is over 26 times more efficient than manual methods [2][3]. - Drones equipped with high-definition visible light and infrared thermal imaging can detect temperature anomalies in photovoltaic components, indicating potential issues such as overload or diode failure [3]. Group 4: Broader Applications and Impact - The application of drone technology extends to over 1,000 renewable energy stations in China, achieving a 50% coverage rate for drone inspection solutions across domestic renewable energy sites [4]. - The use of drones has significantly enhanced operational efficiency, with terrain mapping completed in just two weeks for a site of over 60,000 acres, improving efficiency by nearly nine times compared to traditional methods [4].