Research on Digital Monitoring and Early Warning Technology for Large Wind Turbines Based on the Integration of BDS/5G/LiDAR

With the installation and operation of large-capacity wind turbines in China, accidents such as fan collapse and blade tower sweeping have occurred from time to time, and there is an urgent need to carry out research on swing sensing detection technology for large wind turbines and towers. We have designed a real-time monitoring platform architecture for the operation status of wind turbines based on BDS (BDS Navigation Satellite System) and 5G (5th Generation Mobile Communication Technology), as well as advanced imaging LiDAR. In response to harsh application environments such as wind turbine vibration and blade obstruction, we use BDS three frequency dual antennas for precise pose measurement; and use a rigid pose transmission model to achieve pose transformation to imaging LiDAR. Then, we calculate the distance between the fan blades and the tower through the blade safety clearance area monitoring model. Finally, experimental verification was conducted on the northeast mountainous wind field. Under high-frequency vibration conditions, the horizontal positioning accuracy was 5 cm + 1 ppm, the vertical positioning accuracy was 15 mm + 1 ppm, and the average deviation of heading accuracy was 0.05°. The safe clearance area monitoring accuracy based on imaging LiDAR was better than 3 cm.