3results about How to "The result is robust" patented technology

This application provides a method and system for predicting the fatigue performance of composite materials based on infrared thermal imaging, belonging to the field of material mechanical property testing technology. The method includes determining the fatigue performance characterization parameters and corresponding static strength values ​​of the composite material to be predicted; constructing a fatigue performance testing system for the composite material; determining the progressively increasing fatigue loading stress and load; applying progressively increasing stress levels of fatigue cyclic loading to the composite material under a given cycle to obtain a temperature field sequence and extracting temperature characteristic parameters characterizing the material's energy dissipation state; based on the temperature characteristic parameters and a composite material damage infrared characteristic library, obtaining the temperature-damage characteristic-stress relationship of the composite material under each cyclic loading level; based on this relationship, obtaining the critical transformation stress of the composite material to be predicted, determining the fatigue limit, and obtaining the fatigue life-stress relationship for fatigue performance prediction. This scheme improves prediction efficiency and accuracy, and avoids misjudgment based on a single parameter.

The invention discloses an active and passive fusion camera design method for space target measurement, which comprises the steps of active and passive fusion measurement camera model selection, active and passive fusion camera combined structure design, active and passive fusion camera calibration design, binocular camera selection of a passive measurement sensor, and ToF module selection of an active measurement sensor. Through fusion of the binocular camera and the ToF module, the system has the comprehensive advantages of complex illumination, dynamic target, depth information acquisition, clear and stable imaging, low power consumption and simple structure, the active and passive fusion camera is designed to be a far / near field active and passive fusion measurement system, the far field is responsible for 25m-9m target measurement, the near field is responsible for 11m-0.5 m target measurement, and the near field is responsible for 25m-9m target measurement. The design result shows that the designed active and passive fusion measurement camera can be used for space target pose measurement within the range of 25m-2m.

The present invention discloses a room structure analysis method and device, the method comprising: step S1, obtaining three-dimensional object point cloud data and three-dimensional air point cloud data; step S2, identifying the three-dimensional object point cloud to obtain furniture point cloud, and projecting the three-dimensional object point cloud data through two-dimensional objects to obtain a rotation correction matrix, and performing rotation correction on the three-dimensional object point cloud, the three-dimensional air point cloud and the furniture point cloud according to the rotation correction matrix; step S3, combining the corrected three-dimensional object point cloud with furniture information belonging to each point to generate an interference-resistant two-dimensional top-view object projection and a normal vector projection, and respectively generating a two-dimensional room mask, two-dimensional corner points belonging to each room, and the correlation between the corner points; step S4, generating the local boundary of the room and the global boundary of the floor according to the corner points, and optimizing based on the corner points and parallel distances of the boundaries; step S5, integrating furniture position and channel position information to generate a two-dimensional room structure.