118 results about "Grid density" patented technology

The present invention relates to the technical field of natural ventilation in buildings, and in particular to a computationally assisted decision-making method and system for climate-adaptive building cavity design. The method comprises: using a Delaunay triangulation method to generate an initial mesh, using a Laplace operator-based mesh refinement method to adaptively refine the initial mesh, so as to obtain an adaptive mesh system, wherein the adaptive mesh system is used for dynamically adjusting the mesh density of conditional PINNs; constructing a multi-task learning framework within the conditional PINNs, wherein the multi-task learning framework is used for jointly predicting a plurality of physical field variables within the conditional PINNs; and iteratively training the conditional PINNs, and using a gradient descent algorithm to minimize a loss function until a predetermined number of training iterations or loss convergence is reached, thereby generating a key physical field variable prediction model in building cavity design. The present invention can implement efficient and accurate prediction of key physical quantities in building cavity design, and can be adapted to different building layouts and functional space characteristics.

The invention relates to the field of vacuum circuit breakers, in particular to a vacuum circuit breaker opening and closing dynamic characteristic calculation method, device and equipment and a medium. Establishing a three-dimensional geometric model of the pole-mounted vacuum circuit breaker arc extinguish chamber and the moving and static contacts; setting material attributes for each part in the three-dimensional geometric model; constructing a multi-physics field coupling system; the area where the moving contact is located is divided into movable grids, and the grid density of the moving contact and the grid density of the static contact dynamically change along with time; and performing multi-field coupling transient solution according to the three-dimensional geometric model, the multi-physical field coupling system and the movable grid to obtain the dynamic characteristics of the vacuum circuit breaker. The electromagnetic field, the thermal field, the fluid field, the structure field and the circuit are subjected to full coupling analysis, multi-physical field strong coupling dynamic simulation of the whole opening and closing process is achieved, and the dynamic characteristics of the whole opening and closing process can be accurately calculated.

The invention provides a river flow velocity intelligent monitoring method and system based on multi-scale optical tracking velocity measurement. A plurality of detectors with different characteristics are organically combined, and dynamic grid density adjustment based on flow velocity gradient is realized through adaptive grid adjustment; establishing a multi-dimensional track quality evaluation system through intelligent track evaluation; the real-time performance optimization realizes the performance optimization of multi-thread parallel processing, integrates an intelligent grid optical flow detection and dynamic density adjustment mechanism, and optimizes the detection precision and performance in real time according to the flow velocity gradient and the flow field complexity; a multi-track quality evaluation system is utilized, tracks are screened and fused from three dimensions of motion consistency, physical constraint and time stability, and the accuracy and reliability of data are remarkably improved. The method overcomes the problems that a traditional speed measurement method is complex in operation, limited in environment, insufficient in precision and the like, supports real-time processing, can be widely applied to the fields of water conservancy projects, environment monitoring, flood prevention early warning, scientific research and education and the like, and has remarkable advancement and practical value.

The invention provides a three-dimensional modeling method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining multi-source data of a to-be-constructed model; dividing the initial grid based on the geometric feature density of the to-be-constructed model to obtain an initial grid frame of the to-be-constructed model; optimizing the grid density of the initial grid frame based on the curvatures of different positions of the to-be-constructed model; fusing the multi-source data to the optimized grid vertexes to obtain a grid model after each vertex is fused with the multi-source data; carrying out iterative optimization on a grid topological structure of the grid model; and outputting the three-dimensional model obtained by final iteration through a preset format. According to the invention, by dynamically adjusting the grid density and fusing the multi-source data, the precision and efficiency of three-dimensional modeling are improved.

The invention relates to a BIM (Building Information Modeling)-based building structure modeling method, device, equipment and medium, and the method comprises the steps: aiming at a curvature-mechanics semantic fault problem existing in a process of converting a special-shaped curved surface structure from a BIM geometric model to finite element analysis, generating a curvature tensor field with parameter coordinates by analyzing an NURBS curved surface; integrating along the maximum curvature change direction to construct an internal force flow function, and forming a guide field for controlling the grid density; shell / beam units are divided based on the guide field gradient, space coordinates are marked, and a curvature-stiffness matrix and an internal force flow driving variable cross-section are combined for calculation to generate a structural analysis model; the gradient distribution of the guide field is dynamically corrected through displacement error feedback, and lossless transmission of geometric topology and mechanical properties is achieved. According to the method, the distortion risk of special-shaped structure analysis is remarkably reduced, artificial experience correction is avoided, and high-precision automatic modeling support is provided for a complex building structure.

The invention relates to the technical field of three-dimensional modeling, in particular to a three-dimensional rapid modeling method and system for a gantry crane. The method comprises the following steps: obtaining structural parameter template data and installation site wind condition data of the gantry crane; establishing a parameterized geometric model template according to the structural parameter template data, and determining a wind load sensitive part distribution diagram in combination with the wind regime data of the installation site; dividing structural modeling precision grades according to the wind load sensitive part distribution diagram, and generating a differentiated grid density distribution scheme; constructing multi-precision hybrid modeling framework data according to the differentiated grid density distribution scheme and the parameterized geometric model template; key geometric feature parameters are extracted based on multi-precision hybrid modeling framework data, and a parameter adaptive adjustment rule is established according to a wind load sensitive part distribution diagram; according to the method, geometric weak points are positioned through wind load pre-evaluation, local grid encryption and geometric optimization are automatically executed, and the reliability of model safety evaluation is improved.

The invention discloses a springback compensation control system for a metal stamping part, and belongs to the technical field of metal plate forming. The system comprises a stress memory prediction module, a fractal compensation analysis module, a phase change compensation regulation and control module, a compensation decision fusion module and an execution feedback optimization module. The stress memory prediction module extracts stress evolution characteristics of the stamping process through a multi-scale memory network and a time decay attention mechanism; the fractal compensation analysis module adaptively adjusts the compensation grid density based on the fractal dimension to realize optimal configuration of computing resources; the phase change compensation regulation and control module predicts the phase change behavior of the material through the thermal-mechanical coupling constitutive model and calculates the compensation correction amount caused by phase change; the compensation decision fusion module intelligently fuses three compensation strategies by adopting Bayesian reasoning and a spatial modulation function; and the execution feedback optimization module realizes continuous optimization of the system through online learning. According to the method, the influence of three dimensions of stress history, geometric complexity and material phase change is comprehensively considered, accurate prediction and compensation of the springback behavior are achieved, and the forming precision and production efficiency of the metal stamping part are remarkably improved.

The invention belongs to the technical field of image processing, and provides a cattle herd density abnormity early warning method based on multi-camera data fusion, which utilizes a multi-camera data fusion technology to convert cattle herd pixel data into two-dimensional coordinates in a unified coordinate system to form a beef cattle global movement track, and meanwhile, divides a field area according to grid units to form a beef cattle density abnormity early warning system. Calculating the density of each grid, delimiting the degree of congestion according to the density, calculating the characteristic values of the grids, introducing a logistic regression model, monitoring and labeling the grids with high characteristic values, combining the grid data and the global motion track, calculating the risk probability, making early warning arrangement according to the level of the risk probability, and counting the false alarm and missing alarm conditions. And retraining the model to complete closed-loop iteration.

The invention belongs to the technical field of overhead line butt joint detection, and particularly discloses and provides a method for detecting overhead conductor steel strands after butt joint, and the method comprises the steps: building and correcting a digital twinborn model of a to-be-detected wire clamp based on a CAD drawing and three-dimensional scanning data of the to-be-detected wire clamp; extracting interface geometric parameters and identifying actual shapes of the interface geometric parameters; generating an initial gridding detection path based on a shape matching grid node distribution strategy; collecting a first ultrasonic data set according to the detection path and identifying an abnormal region; dynamically adjusting the grid density according to the abnormal index of the abnormal region, generating an updated detection path, and collecting a second ultrasonic data set; the first and second ultrasound data sets are combined to form a final detection data set. Through model correction and adaptive path planning, the defect of a fixed point distribution mode is overcome, the transformation from wide screening to accurate focusing is realized, and the defect identification accuracy and the evaluation reliability are remarkably improved.

The invention discloses an ecological environment condition index evaluation method based on an ecological footprint model, and relates to the technical field of ecological environment monitoring, and the method comprises the steps: collecting and preprocessing multi-source ecological evaluation data, defining a unified calculation criterion of footprint bearing pressure coupling, and constructing the ecological footprint model; according to the ecological footprint model, ecological footprint components of all kinds of land are calculated and summarized to form a basic footprint, meanwhile, according to the output potential and vegetation productivity of all kinds of land, the biological bearing capacity is estimated, and a biological bearing capacity base map with a time mark is generated; based on the demand attribution footprint, extracting the pollution and ground disaster grid density and the forward over-threshold increment relative to the history, and applying punitive adjustment to the demand attribution footprint to generate a risk correction footprint; according to the method, the demand attribution footprint is generated under the ecological footprint model, gridding back distribution and responsibility mapping of the external source ecological pressure are achieved, and finally a pressure pattern consistent with the foundation footprint and the biological bearing capacity is formed.

The invention discloses a high-rise structure three-dimensional simulation analysis method and system based on finite element analysis, and relates to the technical field of three-dimensional finite element models. The method comprises the following steps: acquiring a current finite element mesh model of a high-rise structure; the current finite element mesh model comprises a plurality of structural layers, and the structural layers comprise at least one type of structure; determining a coupling region of the high-level structure based on each type of structure included in each structure layer; the coupling region is a region formed by various types of connectable high-coupling-degree structures; determining a grid density demand value of each structural layer in the high-rise structure based on a current finite element grid model, a historical finite element grid model and the coupling region of the high-rise structure; and based on the grid density demand value of each structural layer in the high-rise structure, updating the current finite element grid model to obtain an updated finite element grid model. According to the method, the accuracy of a high-rise structure three-dimensional simulation result can be improved.

The invention discloses a ship channel management method and system based on data analysis, and relates to the technical field of data processing.The method includes the steps that a global hexagonal discrete grid structure is constructed, historical operation data are processed through a large arc gridding algorithm to calculate grid density and time potential energy, and accordingly the grid heat level is judged; the method comprises the following steps: acquiring real-time data of a target ship, calculating a comprehensive risk score and a red region intention probability, constructing a multi-dimensional state vector containing a grid level, establishing a hierarchical control strategy, sequentially judging state vector indexes according to priorities, automatically matching emergency takeover, smooth transition, red region strict management or green cruise modes, and generating a corresponding instruction; according to the method, complex space search is converted into efficient integer operation through the discrete grid technology, risk pre-judgment is achieved through the intention probability model, and the problems that in channel management, calculation power consumption is large, pre-warning lags, instruction conflicts exist and the like are effectively solved.

The invention belongs to the technical field of X-ray imaging, and particularly relates to a grid structure and method for filtering scattered X-rays, the grid structure comprises a scintillator array and a grid partition plate arranged between scintillator units, and the grid partition plate is made of a high-density material. The core is that the grid ratio (H / L) of the grid is greater than or equal to 8: 1 and less than or equal to 20: 1, and the grid density is greater than or equal to 80 line pairs / cm and less than or equal to 150 line pairs / cm. Through the design of high grating ratio and high density, space filtering is carried out by utilizing a geometric channel, scattered X-rays in disordered directions are effectively blocked, and meanwhile, original rays are allowed to pass through. According to the method, energy filtering is indirectly realized, and low-energy scattering photons are preferentially absorbed. The method can significantly suppress image fog noise, improves image contrast and signal-to-noise ratio, and can be widely applied to various X-ray detection systems.

The invention is suitable for the technical field of inland river ports, and provides an inland river port hydrodynamic change tracking prediction and evaluation method, which comprises the following steps: constructing a quarterly-level elevation change field of a river channel; wherein the quarterly-level elevation change field of the river channel is composed of a plurality of grids, and each grid corresponds to quarterly-level elevation change data of different areas in the river channel; adjusting the grid density in the quarter-level elevation change field of the river channel to form an adjusted quarter-level elevation change field of the river channel; a two-dimensional hydrodynamic model is obtained, and parameters of the two-dimensional hydrodynamic model are updated; and inputting the adjusted quarter-level elevation change field of the river channel into the updated two-dimensional hydrodynamic model to output a hydrodynamic condition prediction result in the water area range of the inland river port, and calculating a hydrodynamic health index in the water area range of the inland river port to measure the hydrodynamic health degree in the water area range of the inland river port. The timeliness and accuracy of the prediction result can be improved.

The invention relates to the technical field of automobile glass processing, in particular to an automobile glass film removing method and a matrix film removing system. The method comprises the steps that three-dimensional contour scanning is conducted on an area, to be subjected to film removal, of the automobile glass, a space coordinate grid of the surface of the glass is constructed based on scanning data, the area, to be subjected to film removal, is divided into a plurality of sub-area units with unique coordinate identifiers, and the precision of the coordinate grid is dynamically adjusted according to the curvature of the curved surface of the glass. The grid density of the area with the large curvature is higher than that of the plane area. According to the method, a dynamic coordinate grid division mechanism based on three-dimensional contour scanning is constructed, the grid density is intelligently adjusted according to the curvature characteristics of different areas of the curved glass, and it is ensured that the machining precision of the area with the large curvature is matched with the data resolution; the problem that in a traditional method, the fixed grid precision cannot adapt to the complex form of the curved surface is fundamentally solved.

The present application relates to the field of environmental pollution simulation and control, and discloses a system for simulating the diffusion of radioactive consequences in the environment, comprising: an input and preprocessing module for receiving simulation input data, including the location of the pollution source, the release intensity, the terrain and environmental parameters, and initializing the calculation conditions and the concentration field; a multi-medium coupling module for realizing the coupling of the material flux between the atmosphere, water body and soil through the interface conditions; an adaptive grid module for dynamically adjusting the grid density according to the concentration gradient and error estimation in the diffusion results, so as to optimize the calculation accuracy of the hot spot area; a solving and control module for solving the high-dimensional nonlinear partial differential equation set of the multi-medium coupling model and dynamically adjusting the time step. By processing the diffusion behaviors in the atmosphere, water body and soil in a modular manner and realizing the dynamic flux coupling across the media through the interface conditions, the technical effect of accurately predicting the diffusion path of the pollutants in the complex environment is achieved.

The invention provides a ship steel plate manual gas cutting VR simulation method and computer equipment. According to the method, the three-dimensional steel plate grid model is constructed, the grid density is adjusted in a self-adaptive mode, the deformation and damage conditions of the steel plate in the gas cutting process can be accurately simulated, the simulation precision and authenticity are improved, meanwhile, a heat-force-phase change coupled life-death unit simulation solving algorithm is adopted, and the simulation precision is improved. The multi-physical field coupling effects of heat, force, phase change and the like in the gas cutting process can be comprehensively considered, and the damage and failure behaviors of the steel plate can be more accurately simulated. By establishing a three-dimensional cutting scene VR hardware environment and accessing a VR helmet and a motion capture device, immersive virtual training experience is realized, students can practice repeatedly in a safe and pollution-free environment, and the training cost and the safety risk are reduced.

The present application relates to steel structure simulation technical field, disclose a kind of coal yard steel structure simulation analysis method, comprising: collecting coal mine field data constructs coal mine field steel structure geometric model;Grid division is carried out to steel structure geometric model, and material attribute in grid interior is set, and coal yard steel structure simulation model is generated;Reliability evaluation is carried out to coal yard steel structure simulation model based on historical data, and reliability evaluation result is generated;Coal yard steel structure simulation model is optimized based on reliability evaluation result.The present application carries out grid division to steel structure geometric model, calculates the complexity score C of first-level grid element, and different grid division strategies are executed based on this.This is helpful to reasonably divide grid according to the actual complexity of grid element, so that the generated coal yard steel structure simulation model has suitable grid density and accuracy in different regions.

The invention relates to a grid density determination method and device for meteorological monitoring, computer equipment and a storage medium. The method comprises the steps of determining terrain complexity of a target monitoring area based on terrain data of the target monitoring area; determining variation parameters based on the micrometeorological parameters of the target monitoring area; the variation parameter is used for representing the spatio-temporal variation degree of the micrometeorological parameter; and determining the target grid density according to the variation parameter and the terrain complexity. The target grid density of the target monitoring area is dynamically determined based on the terrain complexity and the micrometeorological parameters, the matching degree and accuracy of the target grid density and the target monitoring area are improved, the target grid density is determined based on the variation parameters and the terrain complexity, and the determination process is more comprehensive and reliable.

The application relates to a large eddy simulation-based atmospheric flow field reconstruction method, which comprises the following steps: acquiring turbulent flow data of a target region and performing normalization processing; inputting the normalized turbulent flow data into a resolution promotion module to extract high-resolution time characteristics and predict time characteristics at the next moment, and acquiring reconstructed high-resolution data, wherein the resolution promotion module is obtained through training of turbulent flow data and corresponding resolution-promoted turbulent flow data; performing numerical simulation on the reconstructed high-resolution data by using a large eddy simulation model to construct a multi-layer resolution grid structure; and if the resolution accuracy of a local region in the multi-layer resolution grid structure is lower than a preset threshold, adjusting the grid density through an adaptive grid refinement technique to acquire a three-dimensional atmospheric flow field reconstruction result. The application improves the accuracy and time continuity of flow field simulation under complex terrain.

The invention discloses an estimation method of a two-dimensional plane numerical value of a semiconductor device and a related device. The estimation method comprises the following steps: constructing a cutting straight line segment penetrating through a two-dimensional grid; calculating position information of intersection points of the cut straight line segments and the two-dimensional grid; estimating physical information of the intersection points; based on the position information and the physical information of the intersection point, a function model for cutting the straight line segment is constructed, and the function model is used for describing the relation between the physical information and the position information of any point on the cut straight line segment; and estimating physical information of any point on the cut straight line segment based on the function model. According to the method, the numerical value of the specific point on the data grid of the semiconductor device can be estimated more quickly under the same grid density, and a user can be helped to quickly obtain the numerical value of the specific data point in performance analysis and defect detection of the semiconductor device.

A method is described for determining power grid density on an integrated circuit. The method includes determining an initial placement of power switches, logic circuits, the power grid, and the logic grid. The method creates tiles covering the entire integrated circuit and assigns a power grid density and a logic grid density for each tile. Power losses are simulated for the entire chip and chip timing function is simulated. Based on the simulated power losses and the simulated chip timing, the power grid density and the logic grid density are adjusted on a per tile basis. The assignment of power grid density and logic grid density and simulations are iterated until a cessation condition is met. After the cessation condition is met, a final chip simulation is performed and the final routing is determined.

This invention provides a single reservoir scheduling method and device based on adaptive grid and micro-step simulation, relating to the field of flood control scheduling technology in water conservancy engineering. By using micro-step simulation, the integral error of traditional long-step calculation is overcome, making the simulation results closer to the actual hydraulic processes of the reservoir. Based on the simulation results, the effective reservoir capacity range is dynamically locked, and a search grid is adaptively constructed in conjunction with the inflow intensity, significantly compressing the state space while ensuring accuracy and solving the curse of dimensionality. Through physically driven grid density calculation, the difference in water volume between adjacent discrete states is ensured to be less than the reservoir's single-step regulation capacity, eliminating "grid deadlock" at its root. Dual capacity constraint verification is introduced into the dynamic programming to prevent the mathematically optimal solution from failing due to insufficient discharge capacity. Multiple engineering constraints can be flexibly incorporated, maximizing the peak reduction rate while ensuring safety, achieving synergistic optimization of safety and efficiency, and significantly improving the flood control scheduling efficiency of the reservoir.

The application relates to the technical field of intelligent water conservancy emergency monitoring and early warning, in particular to a finite element visualization method based on digital twinning. The method comprises the following steps: acquiring finite element data, wherein the finite element data comprises mesh structure data and field data; respectively analyzing the field characteristics and the mesh density characteristics in each analysis region according to the finite element data, and determining the corresponding visualization weight coefficients of the analysis regions; collecting visualization operation parameters, and analyzing the numerical gradient distribution law of the field data to determine the color mapping contribution coefficients of the analysis regions; combining the color mapping contribution coefficients and the visualization weight coefficients of the analysis regions to construct a visualization evaluation quantity; and solving the color mapping parameters, the visualization display mode and the camera posture parameters of the analysis regions according to the visualization evaluation quantity. The application can help reduce redundant calculation in the rendering process of large-scale finite element models, improve response speed and operation stability, and enhance overall interaction performance.

The application provides a cloth simulation method, device and equipment and a computer readable storage medium. The method comprises the following steps: starting from an N-1 layer grid in an N-layer grid pyramid corresponding to a target cloth image, performing interpolation calculation on a second layer grid in adjacent two layers of grids according to an interpolation relationship between the adjacent two layers of grids, and obtaining vertex interpolation positions of the second layer grid by using vertex positions of a first layer grid in the adjacent two layers of grids; performing lightweight optimization on the vertex interpolation positions of the second layer grid to obtain vertex positions of the second layer grid, wherein a grid density of the first layer grid is smaller than a grid density of the second layer grid; taking vertex positions of a first layer grid in the grid pyramid as a simulation result of the target cloth image; and N is greater than or equal to 2. The application can guarantee topological continuity of interpolation and effectively improve cloth simulation speed.

The present application provides a kind of method for extracting the frequency domain impedance characteristics of grounding grid under the impact of intermediate frequency oscillation, belongs to the technical field of grounding grid operation and maintenance, the present application establishes the three-dimensional geometric model of grounding grid and uses the fractal dimension adaptive grid generation algorithm to divide the grid in the conductor area, establishes the multi-layer soil complex permittivity model to characterize the frequency variation characteristics of soil electromagnetic parameters, decomposes the intermediate frequency impact excitation signal into multiple narrowband components and inputs the artificial intelligence impedance characteristic extraction model based on neural tangent kernel theory, calculates the current density distribution and electromagnetic field distribution under different frequency points, extracts the skin effect depth and adjacent effect coupling coefficient, constructs the frequency response function of grounding grid and identifies the distribution position of resonance frequency point, adaptively adjusts the grid density parameters and iterative convergence precision parameters according to the ionization degree of soil, solves the problem that the frequency domain impedance characteristics of grounding grid under the condition of intermediate frequency impact are difficult to accurately extract.

The application belongs to the technical field of overhead line butt joint detection, and specifically discloses an overhead conductor steel strand butt joint detection method, which comprises the following steps: constructing and correcting a digital twin model of a to-be-detected clamp based on CAD drawings and three-dimensional scanning data of the to-be-detected clamp; extracting interface geometric parameters and identifying the actual shape thereof; generating an initial grid detection path based on a shape matching grid node distribution strategy; collecting a first ultrasonic data set according to the detection path and identifying an abnormal area; dynamically adjusting the grid density according to the abnormal index of the abnormal area, generating an updated detection path, and collecting a second ultrasonic data set; and merging the first and second ultrasonic data sets to form a final detection data set. Through model correction and adaptive path planning, the application overcomes the shortcomings of a fixed point distribution mode, realizes a transition from extensive screening to accurate focusing, and significantly improves the defect identification accuracy and evaluation reliability.

The application relates to the technical field of underground pipe gallery asset management, and discloses a BIM-driven underground pipe gallery asset dynamic management and emergency decision-making platform, which comprises the following: a dynamic topological mapping module, which realizes dynamic grid density adjustment of a BIM model by monitoring an environmental parameter change rate, and generates a logical topological network in real time, which is synchronous with a physical pipe gallery structure; an asset state reverse derivation unit, which reversely deduces asset deterioration based on environmental data by using a physical law library loaded dynamically in a time domain; a logic rule self-triggering engine, which constructs a multistage response rule chain containing time and space prediction, and optimizes an emergency plan; and an edge-cloud collaborative architecture, which realizes real-time decision-making with low bandwidth dependence through intelligent caching and asynchronous incremental synchronization. When the dynamic topological mapping is driven by the environmental parameter change rate, the real-time state of the underground pipe gallery can be more finely characterized, and a high-reliability data basis is provided for subsequent accurate analysis and decision-making.

The invention provides a reservoir safety operation and maintenance system based on multi-source monitoring data, and relates to the field of reservoir safety operation and maintenance. According to the system, seepage pressure, displacement rate and geological stress data of a dam body and a reservoir area are collected in real time through a sensor array, and after being denoised through an adaptive filtering algorithm, the data are input into a GIS dynamic reconstruction module to generate a risk grading space grid; the decision optimization module fuses data entropy change, space tensor and gradient constraint based on a potential field coupling equation to generate a flood discharge scheduling and reinforcing instruction; the execution module realizes instruction response through acousto-optic early warning and gate control, and reversely feeds back execution data to the GIS module to form closed-loop control; the sampling frequency and the grid density are dynamically adjusted, data mapping is optimized by adopting a multi-parameter interpolation algorithm, and a risk decision is corrected in real time through a hierarchical alarm protocol and a negative feedback mechanism; the closed-loop process covers full-link cooperation of data acquisition, processing, decision making and execution, and the response precision and reliability of reservoir safety operation and maintenance are improved.

The application discloses a kind of river two-dimensional flow field drawing methods based on triangular mesh, comprising the following steps: first, the center point of each triangular net is reconstructed as vertex, so that each vertex has flow field data;Then calculate the length and width of the outer package rectangle of grid range, set grid side length, generate grid point set;Then generate trace with grid point as seed point, by calculating flow field vector, azimuth and predicted point position, dynamically adjust the trace direction and step length;Trace buffer zone is calculated using angle bisector method to avoid trace intersection;Repeat the above steps until all points complete trace generation.The application can make the trace density change with the grid density, evenly distributed while reflecting the key attention area flow field situation, and the trace does not intersect, node spacing dynamically adjusts, expresses flow field details with least data, effectively optimizes data volume and calculation accuracy, provides efficient tool for river flow field research.