20results 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.

The invention belongs to the technical field of comprehensive environment control based on human body comfort, and particularly relates to an air conditioner energy efficiency ratio calculation method based on comfort, a refrigerating system and an experiment module. The air conditioner energy efficiency ratio COP is calculated according to the following formula: COP = 2.012-0.066 T outdoor air + 0.118 T indoor air under the refrigeration working condition; and under the heating working condition, COP is equal to 3.628 T to 0.037 T of indoor air and 0.051 T of outdoor humidity. According to the air conditioner energy efficiency ratio calculation method based on the comfort level, the function of rapidly calculating the air conditioner energy efficiency ratio in practice can be achieved based on the coupling correlation angle of the comfort level and the energy efficiency ratio, and the calculation result is efficient and accurate; and finally, basic support is provided for development of thermal comfort air conditioning equipment and a detection device thereof in regions with hot summer and cold winter under the energy-saving background.

The invention belongs to the technical field of aerospace, and relates to a spacecraft monopulse maneuver reachable domain geometric characterization and rapid calculation method, which comprises the following steps: constructing a reachable domain envelope geometric feature characterization model; randomly generating a fixed time reachable domain geometrical shape feature sample and long axis rotation angle sample database; respectively constructing deep neural networks for fitting the shape features and the rotation angle features, and completing network training by using the obtained samples; respectively mapping shape features and rotation angle features of the reachable domain at a reference position in combination with a completely trained deep neural network, and realizing efficient and accurate calculation of the geometrical features of the spacecraft monopulse fixed time reachable domain; according to the method, the defects that an existing fixed-time reachable domain optimization solving method is low in calculation efficiency, and an uncertainty propagation solving method is difficult to accurately characterize a reachable domain envelope shape are overcome.

The invention relates to the technical field of heat exchangers, and discloses a data fitting method of a heat exchange tube of a gas-liquid allocation heat exchanger and a simulation method and system of the heat exchanger, and the method comprises the following steps: constructing a heat exchange tube part model of the gas-liquid allocation heat exchanger, and dividing the heat exchange tube part model into a plurality of infinitesimal segments; dividing each infinitesimal section into a two-phase section and an overheating section; if the working medium is the two-phase section, calculating the heat exchange amount of the working medium in the infinitesimal section; iteratively calculating the outlet dryness of the heat exchange tube, and calculating the pressure drop and the outlet pressure of the infinitesimal section; if the micro-element section is an overheating section, calculating the maximum heat exchange amount, the thermal resistance, the heat exchange amount, the outlet temperature, the pressure drop and the outlet pressure of the working medium of the micro-element section, calculating the next micro-element section, fitting into a database, calling data of the database to simulate heat exchange of a heat exchange tube, and realizing simulation of the gas-liquid blending heat exchanger. The problem that in the prior art, the simulation is not accurate due to the fact that the pressure drop between the adjacent tube passes is not considered is solved, and the method has the advantage that numerical simulation of the gas-liquid blending heat exchanger can be achieved.

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.

The invention discloses a wind power tower inclination monitoring system based on Beidou III attitude measurement. The wind power tower inclination monitoring system comprises a Beidou III satellite antenna, a Beidou III receiver and a remote server, a wind power tower inclination monitoring method based on Beidou III attitude measurement comprises the following steps that firstly, a Beidou III receiver receives a radio frequency carrier signal of a satellite, analyzes data such as a carrier phase value and the like, and sends the data to a remote network server; then constructing a wind power tower attitude angle mathematical model on the server side based on the data; an improved chaos game algorithm is designed to solve attitude angles (an elevating angle and an azimuth angle) in the mathematical model; and finally, converting the gradient of the wind power tower drum through the elevation angle. The method has the advantages of being convenient to deploy, free of system errors and the like, and has wide application prospects.

The present invention discloses a method for predicting austenite grain size distribution considering ferrite precipitation and re-austenization, and relates to the technical field of austenite grain size distribution prediction. The method comprises the following steps: on the basis of high temperature expansion experiments, peak separation and peak area processing are adopted to construct a quantitative calculation method for the fraction of ferrite precipitated phase at different temperatures; by combining high temperature quenching experiments with microstructure characterization, the evolution law of microstructure during the thermal rebound process of the ingot is mastered to obtain the initial austenite grain size distribution; theoretically derive a calculation method for predicting austenite grain size distribution considering ferrite precipitation and re-austenization; predict austenite grain size distribution under different thermal rebound conditions. The present invention provides a practical solution for the accurate and rapid prediction of the austenite grain size distribution of the ingot during the continuous casting and hot delivery and hot loading process of steel, and is suitable for casting processes undergoing dual phase transformation and multi-phase transformation, and has strong universality and reference value.

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 present invention belongs to the field of aerospace technology, and relates to a method for geometric representation and rapid calculation of a single-pulse maneuverable reachable domain of a spacecraft, comprising the following steps: constructing a reachable domain envelope geometric feature representation model; randomly generating a fixed-time reachable domain geometric shape feature sample and a long-axis rotation angle sample database; respectively constructing deep neural networks that fit shape features and rotation angle features, and using the acquired samples to complete network training; combining the well-trained deep neural network to respectively map the shape features and rotation angle features of the reachable domain at a reference position, so as to achieve efficient and accurate calculation of the geometric features of the single-pulse fixed-time reachable domain of a spacecraft; the present invention makes up for the shortcomings of the existing fixed-time reachable domain optimization solution method, which has low computational efficiency, and the uncertainty propagation solution method, which is difficult to accurately characterize the reachable domain envelope shape.

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 utility model belongs to the technical field of geological survey, and discloses an isosceles toggle type three-way joint meter which comprises an embedded 1 # angle sensor, an exposed 2 # angle sensor, a middle shaft rod, a crossing toggle, an exposed 3 # angle sensor, a two-way rotating shaft piece, a base, an anchoring rib and a protective cover. The base is fixed on a toe board through an anchoring rib, the base is connected with the spanning toggle joints through the two-way rotating shaft piece, the two spanning toggle joints are connected through the middle shaft rod, and the embedded 1 # angle sensor is arranged in the base; the exposed 3 # angle sensor and the exposed 2 # angle sensor are arranged at the connecting positions of the two-direction rotating shaft pieces on the two sides and the crossing toggle joint correspondingly, and the protection cover is arranged on the outermost side of the device. The isosceles toggle type three-way joint meter provided by the utility model is novel in structure, adopts an isosceles arm long rotating toggle connection structure, achieves the purpose of observing and monitoring the three-way deformation of peripheral joints by measuring the angle of the toggle, and has the characteristics of high precision, small error and accurate measurement.

The invention relates to a low-power-consumption organic field effect transistor (OFET) memory array and a preparation method and application thereof, and belongs to the technical field of semiconductor memory arrays. According to the memory array, the OFET memory is used as a basic device unit, and the dielectric layer of the memory array is made of a zinc salt doped polyelectrolyte dielectric material processed by a solution, so that low-voltage operation and effective electrical property regulation and control of the device can be realized. The OFET memory array provided by the invention has a good storage characteristic, and distinguishing and effective writing and reading of different pixel points in a figure image can be realized by programming grid pulse voltage. Compared with the prior art, the OFET memory array can simplify the manufacturing process and reduce the cost, not only has the advantages of simple structure, excellent performance, low energy consumption and the like, but also can be easily integrated into a high-density flexible memory array to realize effective electric pulse imaging and picture smooth processing and calculation; and a new thought is provided for development of a storage technology and application of imaging, image processing and neuromorphic calculation.

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.

The present invention relates to the field of computer technology, and discloses a method for generating a mobile target activity heat map based on a geographic grid, comprising the following steps: 1) establishing a geographic grid space; 2) establishing a storage structure corresponding to the geographic grid space; 3) calculating the effective time weight of the mobile target in the geographic grid space; 4) traversing the historical trajectory points of the mobile target, mapping each trajectory point to positions p and q in a corresponding two-dimensional array A, where p is the column number and q is the row number, calculating the weight r of the trajectory point, and accumulating r to A[p][q]; 5) producing weighted trajectory points, and rendering and generating a mobile target activity heat map. In the case of massive data, the present invention uses the geographic grid space to segment the geographic coordinate space, and the segmentation granularity of the geographic grid space is calculated according to the heat map pixel points and the spatial span of the historical trajectory points, which greatly improves the heat map generation speed of the mobile target, and makes the heat map generation operation become a ready-to-use operation.