2 results about "Global structure" patented technology

The present application relates to the field of building structure safety analysis, and particularly relates to a building structure safety analysis method fusing point cloud data. First, based on the obtained three-dimensional point cloud data, a three-dimensional space grid is constructed, and fixed space anchor points are determined. Then, based on the fixed space anchor points, the three-dimensional point cloud data is mapped into the anchor domain, an improved structure tensor neighborhood difference method is introduced, and a structure change intensity index is obtained. Finally, based on the structure change intensity index, an improved time-symmetry second-order difference structure evolution evaluation method is introduced, and a global structure safety index is obtained. The technical problems of being difficult to depict the dynamic evolution process of the structure over time, lacking the ability to identify gradual damage, being sensitive to point cloud data noise and prone to misjudgment, lacking a unified and stable spatial reference system, being difficult to align cross-frame data and affecting the overall analysis accuracy, and relying on experience rules for overall evaluation indexes and lacking data-driven quantitative expression are solved.

The invention discloses a corundum spinel material microstructure intelligent analysis method and device, and the method comprises the steps: obtaining an original microstructure image of a material, carrying out the standardization preprocessing, and inputting the image into a pre-trained material analysis model, so as to obtain a sintering temperature type and a prediction probability; the model comprises an input receiving module, a double-branch feature extraction module, a multi-modal feature fusion module and a classification decision module, wherein the double-branch feature extraction module comprises a local feature extraction branch and a global feature extraction branch which are arranged in parallel; and the model performs classification decision by fusing the local detail features and the global structure features which are extracted in parallel. The method also generates a decision thermodynamic diagram based on a model classification result, and reveals a microstructure basis of a model sintering temperature classification decision. According to the method, the problems of feature extraction limitation and black box decision making of an existing single model are solved, high-precision and interpretable intelligent analysis of the sintering temperature of the corundum spinel material is achieved, and reliable guidance is provided for material process optimization.