Abstract: The present disclosure relates to the technical field of autonomous underwater vehicles, in particular to an unmanned cable-free operation type autonomous underwater vehicle. The unmanned cable-free operation type autonomous underwater vehicle includes a bow, a middle and a stern, each of the bow, the middle and the stern is of a hollow structure, the middle is provided with a manipulator lifting device and a cabin door opening and closing mechanism, the bow is provided with a first horizontal channel propeller and a first vertical channel propeller, and the stern is provided with two second vertical channel propellers and four main propellers. High-speed cruising of the unmanned cable-free operation type autonomous underwater vehicle can be achieved, and stable and precise hovering needed by the operation of the unmanned cable-free operation type autonomous underwater vehicle can also be achieved.

Abstract: The present disclosure relates to the technical field of autonomous underwater vehicles, in particular to an unmanned cable-free operation type autonomous underwater vehicle. The unmanned cable-free operation type autonomous underwater vehicle includes a bow, a middle and a stern, each of the bow, the middle and the stern is of a hollow structure, the middle is provided with a manipulator lifting device and a cabin door opening and closing mechanism, the bow is provided with a first horizontal channel propeller and a first vertical channel propeller, and the stern is provided with two second vertical channel propellers and four main propellers. High-speed cruising of the unmanned cable-free operation type autonomous underwater vehicle can be achieved, and stable and precise hovering needed by the operation of the unmanned cable-free operation type autonomous underwater vehicle can also be achieved.

Abstract: A method for dynamically measuring deformation of a rotating-body mold, including: (S1) subjecting an overall outer surface of the rotating-body mold to three-dimensional measurement to acquire an initial point cloud data; (S2) shooting, by a multi-camera system, the mold from different angles to obtain three-dimensional coordinates of marking points and coding points on the overall outer surface of the rotating-body mold; (S3) rotating the mold, and repeatedly photographing the marking points and the coding points on the mold surface under different angle poses; and calculating three-dimensional coordinates of the marking points and the coding points; and (S4) predicting a point cloud data of the outer surface under different angle poses based on a conversion relationship among the marking points to analyze a deformation degree of the mold during a rotation process.

Abstract: The present invention relates to an airplane structure stiffener repair method based on measured data guidance. The method includes: respectively measuring point cloud data on a surface of a structure stiffener and point cloud data on a surface of a to-be-assembled position of a body; respectively extracting all assembly plane features in two point cloud data based on an RANSAC algorithm; performing pre-alignment according to the plane features; performing accurate alignment based on a signed distance constraint according to repair tolerance requirements; and calculating a repair allowance, and generating a machining path to serve as an accurate machining basis. According to the method in the present invention, a repair amount can be accurately calculated by virtue of an alignment algorithm of the signed distance constraint, and an envelope relationship during model matching is met.

Abstract: A method for dynamically measuring deformation of a rotating-body mold, including: (S1) subjecting an overall outer surface of the rotating-body mold to three-dimensional measurement to acquire an initial point cloud data; (S2) shooting, by a multi-camera system, the mold from different angles to obtain three-dimensional coordinates of marking points and coding points on the overall outer surface of the rotating-body mold; (S3) rotating the mold, and repeatedly photographing the marking points and the coding points on the mold surface under different angle poses; and calculating three-dimensional coordinates of the marking points and the coding points; and (S4) predicting a point cloud data of the outer surface under different angle poses based on a conversion relationship among the marking points to analyze a deformation degree of the mold during a rotation process.

Abstract: The present invention relates to an airplane structure stiffener repair method based on measured data guidance. The method includes: respectively measuring point cloud data on a surface of a structure stiffener and point cloud data on a surface of a to-be-assembled position of a body; respectively extracting all assembly plane features in two point cloud data based on an RANSAC algorithm; performing pre-alignment according to the plane features; performing accurate alignment based on a signed distance constraint according to repair tolerance requirements; and calculating a repair allowance, and generating a machining path to serve as an accurate machining basis. According to the method in the present invention, a repair amount can be accurately calculated by virtue of an alignment algorithm of the signed distance constraint, and an envelope relationship during model matching is met.

Abstract: A method for controlling a gap distribution of a wing-fuselage joining based on measured data, in which original point cloud data of a wing and a central wing box are respectively collected, and then preprocessed. The preprocessed point cloud data of the wing and the center wing box are registered with the corresponding theoretical models. The key features during joining on the two theoretical models are selected. The the key features are mapped to the registered point cloud data, and the corresponding point cloud features are extracted. The point cloud data of the wing and the point cloud data of the central wing box are docked based on the positioning points. The joining surface is divided into multiple areas, and the gap between the feature points of each area after joining is calculated. According to the gap tolerance, the weight of each area is adjusted to control the gap distribution.