6results about How to "Good modeling" patented technology

The present application relates to the field of three-dimensional tunnel geological model creation, and particularly relates to a method for creating a three-dimensional tunnel geological model based on Dynamo, which greatly improves modeling efficiency and model accuracy. The method for creating a three-dimensional tunnel geological model based on Dynamo comprises the following steps: analyzing design drawings, obtaining pile-by-pile coordinate data, and processing the pile-by-pile coordinate data; generating a road center line through a Dynamo program according to the processed pile-by-pile coordinate data; creating a geological entity model through the Dynamo program according to the road center line; importing the geological entity model into a project file, and assigning corresponding color materials to different geological entities. The present application is suitable for creating a three-dimensional tunnel geological model.

This invention discloses a method for constructing a digital model of a high-energy beam pre-controlled projectile with random defects. The method includes: establishing a model of the high-energy beam pre-controlled projectile using TrueGrid software; outputting the node and element information of the mesh according to the format requirements of the finite element software; extracting node and element data from the mesh model file, dividing the element data into base element data and pre-controlled zone element data; obtaining element data of the defect-forming locations and the remaining element data in the pre-controlled zone according to a pre-defined ratio of defect formation locations and their volume in the pre-controlled zone; randomly deleting element data from the defect-forming locations; and merging the data to form a mesh model file that meets the requirements, thus obtaining the element data of the high-energy beam pre-controlled projectile with random defects. This construction method can generate controllable random defects in the pre-controlled zone, completing the defect characterization of the high-energy beam pre-controlled projectile.

The application provides a simplex family network structure robustness analysis method and relates to the technical field of control and information. According to three simplex network generation algorithms, different initial networks are constructed, and based on a structure robustness index calculation formula, analytical expressions of the structure robustness of the three simplex networks are derived theoretically, and the influence mechanism of network topology and attack mode on the system structure robustness is revealed. The simplex family network is used to describe the structure of an actual complex system, can effectively reflect the high-order interaction relationship of the actual network, and is more suitable for modeling of a real network system; the node degree-based attack mode is used to simulate the deliberate attack suffered by the actual network system, and the influence mechanism of the high-order interaction and the attack mode on the structure robustness is revealed, which can provide scientific theoretical support and technical implementation guidance for reasonably formulating a network attack defense strategy in practical applications.

The invention relates to the technical field of ships, in particular to a ship tail flow guide fin appearance drawing and modeling method which comprises the following steps: importing a stern outline and a stern rib molded line, and importing outlines of a rudder and a guide pipe; drawing inner and outer side steel pipes of a diversion section, drawing inner and outer side inclined tangent lines of the diversion section, drawing a channel arc section of the diversion section, and drawing a diversion section top intersecting line; drawing a guide pipe section top intersecting line, and drawing inner and outer side inclined tangent lines of the guide pipe section; a stern steel pipe is arranged, a top intersecting line of the plotting rudder platform section is arranged, inner and outer side oblique tangent lines of the plotting rudder platform section are arranged, and a contour line of the plotting rudder platform section is arranged; and obtaining control point coordinates of each cross section line of the flow guide fin, establishing each cross section line of the flow guide fin in a three-dimensional space, and adding a longitudinal curve to form a three-dimensional curved surface of the flow guide fin. According to the method, a two-dimensional drawing of fairing of the flow guide fins can be set and drawn through parameterized design of a standardized process according to different ship tail shapes and sizes and positions of guide pipes and rudders used by the ship tail shapes, and three-dimensional modeling of the flow guide fins is rapidly completed.

A multi-target interactive flight trajectory prediction method based on SCINet network, belonging to the field of traffic trajectory prediction, includes the following steps: Step 1, extracting trajectory data to form a multi-target interactive scenario; Step 2, designing a model framework for multi-target interactive flight trajectory prediction based on SCINet network; the model captures the long-term temporal dependence, multi-level features, and multi-target spatial characteristics of the trajectory; the method used to capture the long-term temporal dependence and multi-level features of the trajectory is based on the SCIcross temporal feature extraction method; Step 3, inputting the observed trajectory information of the test into the trained model to obtain the predicted trajectory. This invention improves the accuracy of flight trajectory prediction in multi-target interactive scenarios within the same scene.

The application discloses a kind of equipment simulation model comprehensive credibility test and evaluation method, comprising: S1, multiple index system initial configuration is preset;S2, general test case set and the characteristic test case set for equipment model are constructed;S3, multiple credibility evaluation calculation method is preset and equipment model credibility index is calculated based on the multiple credibility evaluation calculation method;S4, multiple computing programs are preset and equipment model credibility evaluation result is calculated and output based on the multiple computing programs.It is also disclosed that system, device, electronic equipment and computer readable storage medium.