6results about How to "Verification accuracy" patented technology

This invention discloses an automatic calibration method for dual robots in confined spaces based on adaptive point planning, belonging to the field of dual robot calibration technology. Based on the ROS architecture, a three-dimensional simulation model of the dual-robot workspace is constructed on the Rviz platform. A collision detection module is used to randomly generate calibration points composed of collision-free joint angle vectors of the two robots. While driving the robots, motion capture camera data and the Cartesian coordinates of the dual robots' forward kinematics are simultaneously acquired. A hand-eye calibration algorithm is used, optimized by the least squares method to obtain the calibration result, and its validity is determined by the average value of the data calibration accuracy until the dual-robot calibration is complete. This invention integrates simulation modeling, collision detection, and hand-eye calibration technology. Through an adaptive sampling strategy and a synchronous data acquisition mechanism, the complex calibration problem is transformed into a virtual environment parameter optimization process, significantly improving calibration robustness and accuracy, and providing a guarantee for high-precision collaborative control of dual robots.

The utility model discloses an auxiliary maintenance platform for a flow velocity measuring vehicle, which relates to the technical field of hydraulic engineering and comprises a first upright post and a second upright post, support tables are fixed on the outer sides of the first upright post and the second upright post, and a protection component for protection during maintenance is arranged at the top of each support table. A first supporting rod is fixed to the outer side of the first stand column, and a ball machine probe is installed at the bottom of the first supporting rod. The beneficial effects of the utility model are that the protective rack and the protective frame effectively prevent maintenance personnel from being injured due to accidental falling or impact of external objects in the operation process, and the ball machine probe can monitor the maintenance area in all directions, so that the maintenance progress, the equipment state and the surrounding environment can be observed in real time; the safety and efficiency of maintenance work are improved, the solar panel can supply power to equipment on the platform, dependence on traditional energy is reduced, and the operation cost is reduced.

The invention belongs to the technical field of aircraft trajectory optimization, and discloses an aircraft reentry trajectory intelligent generation method based on an RBF neural network. According to the method, firstly, an aircraft reentry model is constructed, a trajectory optimization problem needing to be solved is constructed based on the aircraft reentry model, an optimal sample trajectory set is generated by using a pseudo-spectral method according to an initial discrete height speed, and then a sample trajectory is generated at each waypoint according to a new discrete state. The sample set is divided according to the waypoints, the RBF neural network is trained, the input of the RBF neural network is a discrete height speed state, and the output of the RBF neural network is a state-control sequence from the current state to a target point; and finally, the RBF neural network is used for online generation of an optimal track. According to simulation verification, the method is high in confidence coefficient and small in error, and the generation efficiency of the optimal track can be greatly improved.

This invention discloses a method for determining the opening deviation of a blast furnace hot blast pipe using a theodolite, comprising: a flange at the bottom of the reducer, with symmetrical screw holes on the flange; two steel wires are stretched between the center points of the screw holes; the center point of the reducer is found through the intersection of the steel wires; similarly, the center points of all reducers are found and marked for later use; a flange with multiple symmetrical screw holes is also on the large sleeve; the center points of all large sleeves are found using the same method as above and marked for later use; the theodolite is set up on the extension line of the center line of a pair of large sleeves, zeroed, and locked; the theodolite's aiming part is rotated vertically to aim at the reducer, and the extension line of the center line is marked on the reducer; the distance between the center point of the reducer and the extension line of the center line is measured and recorded using a ruler; the above process is repeated to measure and record the installation deviation of all reducers. This invention uses a theodolite for measurement, which can help the client verify the opening accuracy of the hot blast pipe.

The invention provides a method for generating a global operation path of agricultural machinery in a tea-oil garden based on unmanned aerial vehicle vision, which comprises the following steps of: firstly, acquiring images by using an unmanned aerial vehicle to construct a data set, and performing improvement based on a YOLOv11 model: embedding an EMA attention mechanism to enhance feature focusing capability, and adopting a SlideLoss loss function to optimize multi-scale crown positioning precision; then, the trained model is used for detecting a tree crown and extracting a central point of the tree crown; and finally, performing clustering and straight line fitting based on central point distribution to extract a navigation baseline, and further generating a smooth global operation path shaped like a Chinese character'gong '. According to the method, only the consumer-level unmanned aerial vehicle and the RGB camera are needed, so that the cost is low; through a new normal form of planning through detection, complex three-dimensional reconstruction is avoided, and the process is efficient; the detection precision on a self-built data set is excellent; the generated path is highly similar to the GNSS reference path, and a solution with high cost performance is provided for autonomous operation of the agricultural machinery in the camellia oleifera garden.

The application belongs to the technical field of aircraft trajectory optimization, and discloses an intelligent generation method of reentry trajectory of an aircraft based on a RBF neural network. Firstly, a reentry model of the aircraft is constructed, and a trajectory optimization problem to be solved is constructed based on the reentry model; then, an optimal sample trajectory set is generated by using a pseudospectral method according to initial discrete altitude and speed; after that, a sample trajectory is generated according to a new discrete state at each waypoint. Then, the sample set is divided according to the waypoints, and the RBF neural network is trained respectively; the input of the RBF neural network is the discrete altitude and speed state, and the output is a state-control sequence from the current state to the target point. Finally, the RBF neural network is used to generate an optimal trajectory online. The simulation verifies that the confidence of the method is high and the error is small, and the generation efficiency of the optimal trajectory can be greatly improved.