74 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 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 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 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.

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 discloses a self-adaptive turbulence model for hydraulic machinery calculation and an application method thereof, and relates to the field of model analysis and construction, and the relative error between a total pressure loss coefficient obtained by model calculation and an experimental value can be controlled within 5%; the method has extremely important engineering value for the design of high-efficiency hydraulic machinery. Secondly, the model is compatible with a low y + grid strategy and a high y + grid strategy; under different grid densities, the difference of performance parameters calculated by the model is extremely small, and the limitation that models such as SST and the like must use encrypted grids is overcome, so that engineers can use thicker grids to carry out rapid and accurate design iteration, and the calculation cost is greatly reduced; finally, the model in the invention can reflect the turbulence dissipation process of the wake region more truly; calculation results show that the wake width, depth and velocity loss distribution predicted by the model have extremely high goodness of fit with experimental data, and the model is superior to an existing model.

This invention relates to the field of photogrammetry, specifically to a method for improving the accuracy of oblique photogrammetry using a UAV. The method includes: acquiring the UAV's hardware information, environmental data, and operational data; constructing a hyperparameter space and performing gridding processing; initializing the grid density based on the environmental data and hardware information to obtain the gridded hyperparameter space; performing iterative hyperparameter search within the gridded hyperparameter space; locally adjusting the grid density during the search process and calculating target coefficients at each iteration number based on the search process; thereby determining the optimal hyperparameter matrix using the target coefficients; and controlling the UAV using the optimal hyperparameter matrix to acquire and upload image data under the optimal hyperparameter matrix. This invention effectively improves the measurement accuracy of oblique photogrammetry using UAVs.

The application discloses a performance optimization method for a heavy machine tool hydrostatic guide rail system, comprising the following steps: S1. establishing a multi-objective optimization model: determining design variables of the hydrostatic guide rail system X , constructing an optimization objective function F(X) , and establishing an equality constraint based on force and torque balance H(X and an inequality constraint for preventing dry friction G(X) ; S2. constructing a multi-fidelity database: obtaining a high-fidelity data set through high-fidelity numerical model simulation, and obtaining a low-fidelity data set through low-fidelity numerical model simulation with the same calculation logic but a lower grid density; S3. constructing a data fusion prediction model: utilizing the high-fidelity data set and the low-fidelity data set, constructing a collaborative Kriging surrogate model based on an autoregressive structure, and outputting a predicted mean and a predicted variance; S4. generating a candidate solution population; S5. multi-criteria point selection; S6. simulating and updating a Pareto frontier solution set; and S7. repeating steps S3 to S6 until a preset convergence condition or a calculation budget is met, and outputting a final Pareto optimal solution set.

The invention discloses a three-grid system construction method for pretreatment of variable-density grids of a solid shell of a large shell component, and belongs to the field of numerical simulation of a plastic forming process. The method comprises the following steps: generating a high-resolution structured hexahedron storage grid SM for storing simulation historical data according to geometric parameters of a target thin-wall rotary body component; performing interval condensation on units in the storage grid SM to generate a background grid BM which shares nodes with the storage grid SM and is consistent with the storage grid SM in topology; dynamically marking the encryption attribute of the to-be-encrypted unit in the background grid BM; and calling a preset multi-level encryption template based on the encryption attribute marked in the background grid BM, combining nodes and units of the storage grid SM and the background grid BM on the premise of not generating additional nodes, and quickly generating a local encryption calculation grid CM sharing nodes with the storage grid SM and the background grid BM. According to the method, the problems of low grid calculation quality and difficulty in grid density control in the current multi-grid method are solved.

The application discloses a kind of calculation methods for simulating toxic and harmful gas diffusion concentration in three-dimensional virtual training environment, S1, determine toxic gas diffusion effective influencing factor;S2, the physical model corresponding to training environment is constructed, and the effective influencing factor of gas diffusion is derived;S3, according to gas toxic dose and shelter size, sparse grid is divided, and grid density is distinguished;S4, CFD model is constructed, and the concentration of simulated harmful gas diffusion is calculated;S5, concentration value time sequence situation result offline database of a period of time is established, and gas concentration situation result is stored;S6, when training, in virtual environment, quickly display.The method of the present application can consider terrain, building, meteorological conditions and other factors affecting gas concentration diffusion, can measure the gas diffusion concentration value of any point in space in real time, and its diffusion concentration value is realistic and practical, so that the simulation effect of harmful gas diffusion concentration value in virtual reality chemical hazard simulation training environment is more realistic and credible, and the training effect is improved.

The invention relates to the technical field of finite element simulation visualization, in particular to a VTK-based finite element simulation grid point adaptive marking and interaction method, which solves the problem of adaptation of marking points under different grid densities and window sizes through window size and grid feature two-dimensional adaptive radius calculation, and solves the problem of self-adaptation of the marking points under different grid densities and window sizes through a zoom linkage compensation mechanism. The visual size stability of the mark points in the model scaling process is ensured, the interaction fluency is improved, the method is achieved based on VTK and can be integrated to various simulation software, and the efficiency and experience of user operation in finite element pre-processing and post-processing are remarkably improved; the method is suitable for a pre-processing scene and a post-processing scene of welding simulation, key grid points on a welding line track can be marked, welding path setting key point marking and auxiliary path planning can be carried out, and grid point measurement key point marking can be carried out through marking point positioning and calculation of geometric parameters such as the distance and the angle between two points.

The present application relates to the technical field of steel structure test, and discloses a kind of steel structure veranda health monitoring method and system, comprising: in veranda layout sensing unit and establish finite element model;Analytic node connection relationship generates static topological constraint matrix;According to environmental real-time temperature data, solve thermal deformation response using constraint matrix, and deduct thermal deformation response from total response data to obtain nonlinear residual signal;Based on sensitivity jacobian matrix, residual signal is projected to structure physical parameter space to generate response deviation vector;According to deviation distribution, determine damage location and correct model local grid density and element stiffness, the present application establishes physical mapping path by introducing geometric topological constraint, eliminates the pseudo-mapping noise generated by environmental disturbance, improves the physical authenticity of structure damage identification under complex temperature difference working condition.

The embodiment of the invention discloses a grid optimization method and equipment based on rotation parameters. The method comprises the following steps: inputting an initial grid, and calculating a local slope value of each grid point in the initial grid; judging a flat region and a steep region in the initial grid according to the local gradient value; optimizing a grid density function of the steep region based on a grid density rotation parameter to generate an optimized grid density function; and generating a grid in the steep region according to the optimized grid density function, thereby realizing collaborative optimization of the grid in the steep terrain region while maintaining the grid quality of the flat or simple terrain region, realizing targeted grid encryption, more accurately depicting the terrain forcing effect, and improving the terrain forcing effect. The simulation capability of key weather processes such as mountain circulation and terrain rainfall is improved; meanwhile, through reasonable grid transition distribution, computing resources are saved, and ideal technical support is provided for high-resolution region simulation.

This invention discloses an exploration grid optimization method and system. The method includes: reading N original boundary sampling coordinates of a target mining area, constructing a mining area constraint boundary of the target mining area, obtaining the current grid spacing pairs of the mining area constraint boundary, dividing the mining area constraint boundary into grids with the current grid spacing pairs as the step size to obtain J candidate exploration grids, extracting the grid coordinates of the J candidate exploration grids, calculating the parameter variation intensity of the current grid spacing pairs based on the grid coordinates of the J candidate exploration grids, iteratively updating the current grid spacing pairs with a preset step size, and simultaneously calculating the updated parameter variation intensity. If the updated parameter variation intensity is lower than a set threshold, the updated current grid spacing pairs are determined as the optimal grid spacing pairs. This invention can truly reflect the degree of control of the current grid density on the ore body variation, avoiding over-densification or over-sparse grids caused by a lack of quantitative standards.

The invention discloses a quadrilateral mesh lightweight method and system, a storage medium and equipment, and the method comprises the steps: receiving an input mesh, and converting the input mesh into an initial quadrilateral mesh if the input mesh is a triangular mesh; performing iterative optimization on the initial quadrilateral grid by taking a variance of minimizing a side length and a diagonal length of the quadrilateral grid as an isometric optimization target; in the iterative optimization process, cooperatively executing local operation set and tangent space smoothing so as to gradually reduce the number of patches of the initial quadrilateral mesh and maintain a geometric structure; combining feature line retention and adaptive density control based on a user predefined density function to retain geometric features and adjust grid densities of different areas; and when a preset termination condition is met in the iterative optimization process, outputting the lightweight target quadrilateral mesh. According to the method, the structure regularity and geometric fidelity of the simplified grid are improved, and the problem of grid degradation caused by a traditional global folding method is effectively solved.

This invention relates to a mass-optimized geogrid system and method for stabilizing regolith and other granular soils in extraterrestrial and extreme Earth environments. Mass reduction is achieved both locally—within individual geogrid layers through optimization of lattice geometry, variable mesh density, and reinforcement at stress concentrations—and globally, by varying the spacing and distribution of layers according to structural demands. The geogrid may be fabricated from materials that are locally sourced or compositionally traceable to in-situ resource utilization (ISRU) processes in environments such as the Moon, Mars, or terrestrial polar and desert regions where conventional construction materials are limited or costly to transport. The method includes restructuring the regolith by size-sorting and compaction to produce a particle-size distribution proportionally matched to the mesh openings, enhancing mechanical interlock and shear resistance. Structural efficiency can be tuned and verified through physical testing and finite-element analysis for scalable, repeatable construction.

The present application relates to a kind of geogrids for ballast bed reinforcement, which is laid on ballast layer on subgrade bottom layer, the grid density of geogrid in different ballast bed transverse regions is different, adjacent two geogrid regions of different grid density are connected by connecting rod or integrally formed, and geogrid is also embedded by ballast layer and sleeper.According to the linkage relationship of ballast micro-motion and stress and the characteristics of ballast transverse migration, geogrid is divided into sleeper core area, under-rail area and ballast shoulder area.Compared with prior art, the present application fully considers the linkage relationship of ballast micro-motion and stress and the characteristics of ballast transverse migration, and proposes a geogrid reinforcement design method with three-level differentiated grid density, i.e.the grid density of sleeper core area and ballast shoulder area is higher, and the grid density of under-rail area is lower, which helps to improve the long-term dynamic stability and durability of ballast bed.

The application belongs to the technical field of image processing, and provides a beef cattle herd density anomaly early warning method based on multi-camera data fusion. The multi-camera data fusion technology is used to convert the beef cattle herd pixel data into two-dimensional coordinates in a unified coordinate system, form the global movement trajectory of beef cattle, divide the field area according to grid units, calculate the density of each grid, determine the crowding degree according to the density size, calculate the eigenvalue of the grid, introduce a logistic regression model, monitor the grid with a high eigenvalue and label it, combine the grid data and the global movement trajectory, calculate the risk probability, make early warning arrangements according to the risk probability level, count the false alarm and missed alarm situations, and retrain the model to complete the closed-loop iteration.