11results about How to "Accurate and efficient calculation" patented technology

The invention discloses a large-span warehouse structure wind resistance design method and system based on wind load numerical simulation. Establishing an initial computational fluid dynamic model according to the initial structure data of the large-span warehouse structure; constructing a corresponding fluid control equation and a turbulence model based on the initial calculation fluid dynamic model; performing wind load numerical simulation according to a preset working condition, the initial calculation fluid dynamic model, the fluid control equation and the turbulence model to obtain wind load data; inputting the wind load data and the initial structure data into a wind load-stress mapping model to obtain a predicted member stress value of the large-span warehouse structure; and comparing the predicted member stress value with a member stress maximum value, and determining a wind resistance design result of the initial structure data of the large-span warehouse structure. According to the scheme, the wind load of the large-span warehouse structure is simulated through the actual dynamic working condition, and the wind resistance design result of the large-span warehouse structure is evaluated according to the simulated wind load, so that the evaluation result is more accurate.

A computer vision-based method for calculating the volume of stacked goods within a regular cube space is disclosed. This method trains a neural network for semantic segmentation using the projected images of the stacked goods on both sides of the cube to obtain a model for calculating the projected area of ​​the stacked goods. This model is then used to calculate the projected area of ​​the collected image data to determine the volume of the stacked goods within the regular cube space. This method avoids the problems of human error and subjective judgment inherent in traditional manual observation methods, and also avoids the drawbacks of instrument measurement methods, such as high equipment costs and maintenance expenses, and susceptibility to environmental interference. It enables accurate and efficient real-time calculation of the volume of stacked goods within a regular cube space.

This invention provides a method for predicting the pressure distribution of a shale gas horizontal well in a gas-liquid two-phase flow wellbore, belonging to the field of oil and gas field development. The method includes: dividing the target shale gas horizontal well into target well sections; performing a detailed simulation of the target well sections to obtain detailed simulation results; determining the functional relationship between the gas-liquid two-phase slip velocity and the average transport rate of the water phase in the target well based on the detailed simulation results of the target well sections; determining the functional relationship between the resistance coefficient and the outlet liquid holdup of the target well based on the detailed simulation results of each target well section; establishing a wellbore control coupling model for the target well based on conservation theorems, the functional relationship between the gas-liquid two-phase slip velocity and the average transport rate of the water phase, and the functional relationship between the resistance coefficient and the outlet liquid holdup; iteratively solving the wellbore control coupling model for the target well; and obtaining the pressure distribution of the shale gas horizontal well based on the iteration results to achieve accurate and efficient pressure distribution prediction.

The application discloses a kind of cylindrical detector angle measurement method, comprising the following steps: setting the projection plane of cylindrical detector;Based on the single frame result obtained by actual measurement of cylindrical detector to radioactive source, all angles are traversed, and the assumed incident part and the assumed exit part are projected to the projection plane in a one-to-one manner to obtain the first projection point and the second projection point;The first projection point and the second projection point are made to correspond to each other by interpolation;The first projection point and the second projection point are multiplied and summed to obtain the inner product result;Based on Cauchy inequality, the angle with the maximum inner product is selected as the correct incident angle.The application utilizes the property of mathematical Cauchy inequality to accurately and efficiently calculate the incident angle, eliminating the trouble of estimating the attenuation factor in the traditional method and the error introduced thereby.

This invention discloses a method for optimizing the thermal layout of satellite cabin components considering thermal radiation, belonging to the field of component layout optimization technology. The method includes: geometrically describing the components based on level set functions; constructing an interference model between components using Heaviside functions; estimating the global heat transfer matrix of satellite cabin radiation heat transfer in the space environment; dividing the satellite cabin layout area into finite element meshes; determining the global thermal load vector based on the component's heat source intensity distribution function using Heaviside functions and density projection methods; establishing the mapping relationship between component position parameters and the satellite cabin layout temperature field; constructing a satellite cabin thermal layout optimization model; and applying a gradient optimization algorithm to solve the satellite cabin thermal layout optimization model to obtain the optimal component layout scheme. The method of this invention avoids nonlinear iterative solutions, reduces the computational load, and obtains the optimal component layout scheme considering thermal radiation.

The invention discloses a finite element simulation method for accurately calculating an electric arc additive manufacturing temperature field and a stress field, and belongs to the technical field of additive manufacturing. The method comprises the steps that firstly, the geometric structure of an electric arc additive manufacturing deposition sample is obtained through a 3D contourgraph, then the fusion width, the fusion depth and the excess weld metal of each deposition layer are obtained through linear cutting, a simulation heat source model is constructed based on actual additive parameters of each deposition layer, three heat sources are considered in the simulation heat source model, and a simulation heat source model is constructed; and the heat distribution condition in the actual additive manufacturing process is fully considered. According to the method, the three-dimensional scanning technology is combined with electric arc additive manufacturing temperature field and stress field simulation, the actual geometric structure and morphology of the deposition layer are obtained through an external detection means, the temperature field and stress field of the electric arc additive manufacturing deposition layer are calculated based on the actual morphology of the deposition layer, and compared with existing electric arc additive manufacturing simulation at present, the method has the advantages that the calculation efficiency is high; and the reduction degree of distribution of the calculated temperature and stress in the deposition layer can be greatly improved.

This invention discloses a virtual item recommendation method, a recommendation model training method, an apparatus, and a device. The method includes the following steps: constructing a virtual item vector sequence and a target object vector; obtaining a first behavior sequence and a second behavior sequence of the target object; determining a first interest vector using an LSTM model and a multi-head self-attention mechanism based on the virtual item vector sequence and the first behavior sequence; determining a second interest vector using an attention mechanism based on the virtual item vector sequence, the target object vector, and the second behavior sequence; fusing the first interest vector and the second interest vector to obtain a target interest vector; and determining virtual item recommendation information based on the matching degree between the target interest vector and each virtual item vector in the virtual item vector sequence. This method can improve the accuracy of virtual item recommendations and further enhance the recommendation experience for target objects, ultimately increasing the commercial value of products. It can be widely applied in the field of computer technology.

The invention discloses a continuous traffic flow state deduction method under the influence of an intelligent network connection vehicle, and relates to the technical field of traffic flow state evolution models. Comprising the following steps: S1, establishing a road state evolution model on the basis of a first-order macroscopic traffic flow model without considering CAV, and solving the established road state evolution model to obtain a basic framework of an HV and CAV mixed traffic flow state evolution model; and S2, modeling CAVs at different speeds based on a mobile bottleneck theory, calculating the influence of the CAVs on the road traffic evolution process, and combining with the basic framework of the HV and CAV mixed traffic flow state evolution model in the S1 to establish a state evolution model considering the combined action of the road bottleneck and the CAVs. According to the method, factors such as lane changing behaviors and acceleration behaviors of road vehicles and speeds of moving bottleneck vehicles are fully considered, and the vehicle passing rate can be accurately calculated; and on the premise of giving the initial condition of the road, the road state evolution result of the road under the mutual influence of one or more CAVs can be efficiently and accurately calculated, the road state of a certain space-time position or a certain space-time region can be accurately solved, and the result can be used for traffic management and control.

The application discloses a processing method suitable for large marine propellers and relates to the technical field of precise composite processing of large marine propellers, and comprises the following steps: installing a propeller and a standard ball on a rotating table of a machine tool, installing a high-precision calibration needle on a main shaft, establishing a positioning datum of a workpiece by using a fitting algorithm, constructing a workpiece coordinate system and a conversion relationship between the workpiece coordinate system and a machine tool coordinate system; acquiring point cloud data of each part of the propeller, and converting the point cloud data to the workpiece coordinate system by using coordinate conversion; performing coarse and fine splicing on blade root point cloud, combining data of the rest parts, and forming workpiece coordinate system point cloud data of the propeller; calculating polishing amount by using a normal projection algorithm based on the data; generating a machining track containing blade thickness calibration according to the polishing amount, and milling and polishing the propeller according to the machining track. The method significantly improves positioning accuracy, effectively eliminates clamping errors, is high in polishing amount calculation precision and efficiency and strong in self-adaptability, and significantly improves machining efficiency and shortens a production cycle.

The invention provides a vibration wave propagation calculation method based on a WPA method and application thereof, and the calculation method comprises the steps: S1, supplementing the propagation and reflection parameters of vibration waves at the joints of a beam, a plate and a column based on the classical theory of the WPA method; s2, compiling a code by adopting matlab software, and calculating the response of the vibration wave at any moment and any position in the structure according to the obtained propagation and reflection parameters of the vibration wave; s3, calculating the actual structure by using the written code, performing field test, verifying the code calculation accuracy, and calculating the response of the vibration wave at any moment and any position in the structure according to the verified code; and S4, calculating acceleration peak values of different positions of each layer under excitation of different points of each layer, and further returning a vibration propagation rule of vibration waves between the same layer and different layers. According to the technical scheme, vibration wave propagation analysis and calculation are expanded to the overall structure and are closer to the actual situation.

The invention relates to the technical field of material performance analysis, in particular to a residual stress mechanical analysis method and system based on a carbon fiber vehicle body structural member, and the method comprises the steps: carrying out macroscopic-microscopic smooth modeling on a structural member scanning result; performing edge-based smooth domain construction operation on a smooth modeling result to obtain a smooth domain matrix; constructing a stiffness matrix according to a pre-constructed initialized material constant matrix and a smooth domain matrix; according to a smooth Galerkin W2 form, utilizing the stiffness matrix to construct a macroscopic zone system balance equation and a mesoscopic zone system balance equation, and performing coupling to obtain a boundary zone system balance equation; constructing a multi-scale smooth finite element model by utilizing a system balance equation; according to a preset reconstruction post-processing strategy, updating the multi-scale smooth finite element model; and calculating residual stress distribution by using a multi-scale smooth finite element model according to the mechanical parameter data set. According to the invention, the accuracy of quality control of the carbon fiber structural member can be improved.