6results about How to "Optimize calculation time" patented technology

The invention relates to the field of welding technology and finite element analysis, and particularly discloses a welding simulation method and system based on sub-field modeling. According to the system, the welding area is divided into a plurality of sub-fields, so that the simulation precision and efficiency are improved. The system comprises four main parts: gridding, heat source setting, thermal analysis and structural analysis. And the gridding module realizes fine grid division of the complex geometry by utilizing a sub-field technology and combining isotherm information. The heat source setting module accurately defines heat input conditions in the sub-fields according to welding process requirements. The thermal analysis module simulates the change of a temperature field in the welding process and provides detailed sub-field temperature distribution data. And the structural analysis module analyzes stress and deformation caused by welding based on the thermal analysis result, and particularly focuses on stress transfer and deformation behaviors among the sub-fields. According to the whole system, the welding simulation precision is greatly improved, manual intervention is reduced, and powerful technical support is provided for optimization of a complex welding process.

The invention relates to the technical field of Tokamak magnetic probe fault detection, in particular to a real-time fault detection method for a Tokamak magnetic probe. According to the technical scheme, the method comprises the following steps that neural network model training data are collected to construct a training database, and physical parameters related to magnetic probe signals serve as model input; a neural network model with multiple coding layers and decoding layers is adopted to capture the evolution characteristic of the magnetic probe signal in time, and the magnetic probe signal in the subsequent time period is predicted based on the input time period; and inputting and transmitting the model to a trained neural network model to predict a magnetic probe signal in real time. According to the method, the fault detection of the magnetic probe diagnosis in the Tokamak device is realized by using the artificial intelligence algorithm, the calculation precision of the model is improved, and the calculation time of the model is greatly optimized, so that the real-time fault detection of the magnetic probe becomes feasible, and the method has relatively high universality.

The present application relates to the technical field of three-dimensional mobile robot path automatic planning, and particularly relates to a robot three-dimensional global path planning method based on sunlight irradiation principle, comprising the following steps: dividing a search space into an obstacle region and a free region, determining a directed graph set and a dynamic update dataset of robot path nodes; setting a heuristic function to select a sunlight point from the dataset; using a circular conical tangent point search function to determine an obstacle edge path tangent point; using a grid restriction sampling mechanism to screen the path tangent point; repeating the above steps until a preset maximum number of sampling nodes is reached, generating several feasible paths; selecting the feasible path with the minimum path length for backend optimization processing, and outputting an optimal feasible path. The present application quickly searches for an obstacle edge tangent point to construct a feasible path by simulating the sunlight irradiation principle, screens nodes in combination with a grid restriction sampling mechanism, improves the algorithm convergence speed, and realizes rapid and smooth planning of the shortest path in a three-dimensional space.

The utility model discloses a desiccant automatic docking device, which is characterized in that a new desiccant belt is placed on a disc in advance, the head end of the desiccant belt is placed on a positioning table, an upper synchronous belt and a lower synchronous belt convey the last roll of desiccant belt from left to right, and a sensor of a positioning structure is adopted to position the desiccant belt in the conveying process; therefore, the conveying distance of each time is consistent, and the time for using up a roll of drying agent can be conveniently calculated; when a roll of drying agent is used up, the last section of drying agent is accurately found to the welding position through calculation of a positioning structure, slow conveying is conducted through an upper synchronous belt and a lower synchronous belt, and when the drying agent reaches the welding position of a welding structure, the pre-placed drying agent is pushed to the welding position of the welding structure through a conveying air cylinder. The drying agent welding structure is simple in structure, effectively reduces the time consumed for replacing the drying agent when a worker arrives at a station, and improves the production efficiency of a continuous production line.

The application is suitable for the technical field of three-dimensional model processing, and provides a three-dimensional model graphic matching method, which comprises the following steps: extracting sampling points, then measuring the matching probability of feature points between models by using Gromov-Wasserstein distance, and completing the matching of asymmetric point sets of the models; obtaining symmetric point grouping information after two-step constraint is performed on the remaining symmetric point sets, calculating two new auxiliary points by using the information of the sampling points, determining the up-down and left-right directions of the models by using vector knowledge, and completing the final matching. The application solves the symmetric confusion problem which is prone to occur in the process of matching the initial layer sampling points of a 3D symmetric graphic. Compared with the existing method based on Gromov-Wasserstein distance for solving the same problem, the application is applicable to more models, and the universality and accuracy are improved.

This invention discloses a parallel processing method, system, platform, and storage medium for particle contact search in a distributed memory architecture. The method generates and acquires first data corresponding to the particle computing region, and generates corresponding second data based on the first data. Based on the second data, at least four levels of particle container units corresponding to the particles are created. A first mechanism corresponding to particle contact is constructed. Based on the first mechanism, the migration and transfer states of particles are searched and processed in parallel within the particle container units in the computing domain. The first mechanism is a particle state mechanism. The system, platform, and storage medium corresponding to the method can reduce the time spent on contact search and the computer memory usage when discrete numerical computation methods such as discrete unit methods use distributed memory for computation.