8results about How to "Reduce computational cost" patented technology

The invention relates to the technical field of train aerodynamics optimization, in particular to a train surface bionic microstructure partition arrangement and drag reduction optimization method and system.The method comprises the steps that the train surface is divided into design partitions which are geometrically continuous and relatively consistent in near-wall flow form according to train appearance geometric parameters and external flow field characteristics; resistance mechanisms in the same subarea tend to be the same; a turbulent flow correction model is adopted for the design partition where the bionic microstructure is arranged, geometric parameters of the bionic microstructure are mapped into near-wall dissipation correction, and the wall surface shear stress is equivalently changed; an initial turbulence model is adopted for the non-arranged partition, and physical quantity continuity is kept at the junction through data exchange of a virtual grid; and a stable and comparable aerodynamic resistance evaluation result is obtained, and a target partition arrangement scheme is screened from candidate arrangement schemes, so that the reliability of resistance reduction optimization is improved at relatively low calculation cost.

The present application relates to the field of underwater vehicle flow field analysis, and discloses a variable reconstruction underwater vehicle flow field mutual interference analysis method, comprising: modeling a single underwater vehicle; based on the single underwater vehicle, constructing a variable reconstruction underwater vehicle; converting the variable reconstruction process into a series of transient processes parameterized by the axial spacing between the head end face and the tail end face of adjacent single underwater vehicles; building a fluid simulation calculation framework, and batch calculating the fluid dynamic parameters of different parts of the variable reconstruction underwater vehicle under different axial spacings corresponding to each transient process; based on the variation law of the fluid dynamic parameters with the axial spacing, determining a characteristic spacing from the axial spacing; using the velocity nephogram and the pressure nephogram, and combining the characteristic spacing and the fluid dynamic parameters of different parts of the variable reconstruction underwater vehicle, the flow field mutual interference is analyzed. The present application effectively reduces the calculation cost and improves the efficiency of flow field analysis.

The application discloses an optimization method of a rolling wing blade connecting rod mechanism, and belongs to the field of rolling wing aircrafts.The blade swing angle is represented by structural parameters of the blade connecting rod mechanism, and the structural parameters of the blade connecting rod mechanism, including the lengths of the connecting rods, the coordinates of key hinge points and configuration bias, are defined as a variable vector; multiple target functions are constructed for multiple key working conditions such as hovering, forward flight and transition, the multiple target functions not only quantify the performance of the connecting rod mechanism itself, such as kinematic fitting error with a target motion law, dynamic stability index and force transmission efficiency index, but also cover aerodynamic efficiency index and aerodynamic acoustic index which are directly related to the performance of the whole machine; and the optimal structural parameters of the blade connecting rod mechanism are obtained by solving the multiple target functions under constraints, so that the global optimization of the structural parameters of the blade connecting rod mechanism under multiple working conditions, multiple targets and multiple constraints can be realized.

This invention discloses a low-carbon economic dispatch method and apparatus for a hydrogen-electricity combined system, belonging to the field of electrical control engineering technology. The method aims to minimize system operating costs under carbon tax considerations, using discretized linear dynamic energy flow equations as constraints for the operation of the hydrogen-electricity network. It constructs a low-carbon economic dispatch model for the hydrogen-electricity combined system, which can both characterize the dynamic characteristics of the hydrogen-natural gas transportation process and meet the requirements of optimization problem solving. It can accurately reflect the operating status of the hydrogen-natural gas system by tracking changes in gas composition during transportation. While preserving the model's characteristics, it reduces the computational cost of real-time solving of the nonlinear dynamic energy flow model. The method uses the low-carbon economic dispatch model of the hydrogen-electricity combined system for dispatching, ensuring that the combined system always operates within safe boundaries, improving the system's renewable energy absorption capacity, and reducing system operating costs and carbon emissions.

This invention provides a method and system for intelligent prediction of hypersonic wall heat flux based on point-to-point modeling, relating to the field of high-speed aircraft design technology. The method includes: acquiring hypersonic flow field information to be predicted and generating grid node coordinates and corresponding unsigned distance functions covering the entire flow field computational domain; based on point-to-point modeling, treating each grid node as an independent sample point, inputting the coordinates and condition parameters of each node into the trained prediction model, and predicting the velocity component, Mach number, density, translational-rotational temperature, vibrational-electron temperature, and five-component mass fraction at each node; and calculating the wall heat flux based on the prediction data of the entire flow field wall and the outer layer of grid nodes. This invention achieves accurate reconstruction of a hypersonic cylindrical flow field considering thermochemical non-equilibrium effects under the condition of finite numerical simulation flow field data, thereby meeting the practical engineering needs for aerodynamic characteristic prediction.

The present application relates to a kind of improved polyphenyl ether production process state fast estimation method, including the linear high-dimensional system dynamic model generated by phenol and methanol alkylation polyphenyl ether;The state vector of high-dimensional system is divided into multiple state blocks of low dimension, while introducing an auxiliary variable to correct the system error caused by block.This method can meet the low calculation cost of linear high-dimensional system state estimation while achieving higher accuracy requirements.

This invention discloses a multimodal image feature matching method combining global affine transformation and local deformable convolution, comprising the following steps: constructing a multimodal target detection network architecture to obtain original visible light feature maps and original infrared feature maps; using a global affine transformation module to globally regulate large-scale rigid misalignment between images to obtain a coarsely aligned visible light feature map; extracting modality-invariant features to provide matching references for downstream networks, and performing deformable convolution on the two modality-invariant features; combining feature modulation masks to obtain the final finely aligned visible light feature map; performing feature fusion to output the final detection result. This invention, through global affine transformation, a priori corrects rigid geometric distortion between images, compressing spatial errors to the effective capture range of the fine alignment module, thereby ensuring the convergence and robustness of subsequent fine alignment and resolving the contradiction between large-scale spatial mismatch and limited local receptive field.

This invention discloses a chip computing architecture suitable for nonlinear parallelization of SLAM, including at least one block-structured parallelized matrix multiply-accumulate unit based on a systolic array, used to decompose a large-scale matrix into block-structured matrix multiply-accumulate operations of up to 6×6 size; at least one iterative solver for a preprocessing conjugate gradient method to solve large-scale symmetric positive definite matrix equations; and a hardware mapping module for processing and analyzing complex data flows in SLAM back-end optimization. This invention provides an accelerated architecture for SLAM back-end optimization, implementing a hardware accelerator for back-end optimization based on bundle adjustment, which can be flexibly applied to the computation of back-end optimization components of various SLAM algorithms, featuring flexible configuration, high computation speed, and low power consumption.