2results about How to "Helps with security" patented technology

The utility model relates to milling machine tool technical field especially, it relates to a kind of end face milling machine tool clamping platform. Including: rack, the rack is "L" shape, the long arm end of the rack is equipped with lifting mechanism, the side of the lifting mechanism is equipped with processing head, the short arm end of the rack is equipped with transmission mechanism, the upper surface of the transmission mechanism is fixedly connected with workbench, the side of the workbench is equipped with clamping device, the clamping device includes several weld plates, the side of the weld plate is fixedly connected with the side of workbench, every two weld plates are rotatably connected with screw rod on the side close to each other, the arc surface of the screw rod is fixedly connected with pulley, the arc surface of the pulley is driven connected with belt.The utility model provides a kind of end face milling machine tool clamping platform has the advantage that different sizes of workpiece are clamped conveniently, and the machining precision of workpiece and milling machine tool processing efficiency are improved.

This invention relates to the field of unmanned aerial vehicle (UAV) control technology, specifically to a dynamic obstacle avoidance method for UAVs based on multi-sensor fusion. The method includes receiving image sequences, depth point clouds, pose parameters, and flight velocity parameters; calculating illumination distortion gradient values ​​and speckle noise entropy values ​​based on the image sequences and depth point clouds; performing coordinate registration and feature extraction on the image sequences, depth point clouds, and pose parameters to output visual and radar feature sets; generating weighted visual and radar feature sets through a weight adjustment function, and generating a joint heterogeneous feature tensor through alignment and concatenation; and generating airframe attitude and thrust control commands by applying the joint heterogeneous feature tensor to a probabilistic prediction model and a model predictive control algorithm. This invention avoids error accumulation and decision delays caused by multi-level serial computations through cross-domain reuse and deep coupling of airframe physical parameters in the data stream, thus improving the global executability of obstacle avoidance tasks.