Research on intelligent application of UAV in safety supervision and flight control technology

The application of UAV in safety supervision is increasingly extensive, which benefits from its characteristics of strong mobility, low cost and high efficiency, especially in forest fire monitoring, geological disaster early warning and urban safety patrol. Equipped with multi-spectral camera, thermal imager and other equipment, combined with edge calculation, machine learning algorithm and 5G technology, UAV has achieved an abnormal target recognition accuracy of over 90%, and can predict landslides with an error rate of less than 8%. The response time is shortened to 15 minutes, the geological disaster warning is advanced by 3-7 days, and the urban violation recognition accuracy is 92%. In terms of flight control technology, through the optimization of attitude control, navigation positioning, and obstacle avoidance path planning techniques, such as Kalman filtering to improve attitude estimation accuracy to less than 0.1 °, GPS, RTK, and visual SLAM to achieve centimeter level positioning, and obstacle avoidance strategies based on A * and RRT * algorithms to deal with complex environmental obstacles, flight stability, positioning accuracy, and obstacle avoidance capability have been significantly improved.