362 results about "Grid partition" patented technology

The invention discloses a layout generation method for load effect compensation and a related device, which are applied to the technical field of photoetching and comprise the following steps: acquiring photomask data; carrying out grid division on the mask graph according to the photomask data, and determining layout density in each grid; comparing the layout density of each grid with a target density, and determining a density difference value corresponding to each grid; determining a virtual graph corresponding to each grid according to the density difference value; and adding a corresponding virtual graph in a layout area corresponding to the grid to form a compensated mask plate graph. By performing grid division on the mask plate graph, calculating the specific layout density in each grid and adding the corresponding virtual graph to the layout area corresponding to the grid according to the difference value between the layout density and the target density, the graph density of the layout area in each grid can be effectively compensated, so that the load effect of each area in the layout is balanced, and the performance of the mask plate is improved. And the etching uniformity is improved.

The invention discloses a seepage field adaptive analysis method and device based on a flexible polygon unit, and the method comprises the steps: dividing the polygon unit into a plurality of sub-regions, and constructing an internal water head field of each sub-region; recognizing a free water surface according to water head features extracted from the internal water head field of each sub-region; if the free water surface is recognized for the first time at present, or the error of the positions of the free water surfaces recognized by two adjacent rounds of iteration does not meet a preset condition, quadtree decomposition is carried out on the free water surface to obtain new sub-regions; returning to the step of extracting the water head features according to the internal water head field of each sub-region until the error of the positions of the free water surfaces identified by two adjacent rounds of iteration meets a preset condition, and obtaining a grid division result of the polygon unit; and performing seepage field analysis on the polygon units based on a grid division result to obtain a seepage field analysis result. According to the method, the complex seepage field is accurately simulated, and the optimal balance between high-precision discretization near the free water surface and the overall calculation efficiency is realized.

The invention relates to the technical field of city updating simulation, and discloses a city updating multi-scene simulation evaluation system based on digital twinning. The system comprises a multi-source data acquisition module, a space grid division module, a scene simulation engine and a dynamic evaluation module. The multi-source data acquisition module acquires real-time monitoring data and historical city update project data of a city physical space, and the real-time monitoring data covers environmental parameters, infrastructure operation data and people flow dynamic data, so that a digital twinborn body is constructed. The space grid division module divides the digital twin into space grid units according to the urban functional area type and the updating target and gives attribute tags to the space grid units. And the scene simulation engine generates a simulation parameter combination based on the attribute tag, and drives the digital twin to carry out multi-scene dynamic simulation. And the dynamic evaluation module outputs a state evaluation value of each space grid unit according to a simulation result, the state evaluation value comprises an infrastructure load state and a people flow distribution state, and orderly promotion of city updating work is assisted.

The invention discloses a regional grid safety evaluation method and device based on smart gas and a medium, belongs to the technical field of gas safety supervision, and aims to solve the technical problem of how to overcome the defects of insufficient matching between grid division and gas facility characteristics and lagging leakage risk prediction in the prior art. In order to realize full-process intelligence from risk identification to closed-loop management and improve supervision efficiency and early warning precision, the technical scheme adopted by the invention is as follows: dividing a pressure sensitive grid: performing optimization division on a regional grid based on a gas pipeline pressure grade and facility distribution characteristics, and realizing accurate division of the regional grid where a pipe network is located by combining a GIS and an improved DBSCAN algorithm; acquiring three-level Internet of Things data: integrating sensor data of an unmanned aerial vehicle, a pipe network pressure device and a leakage monitoring device, and covering a full-link data system of a terminal sensing layer, an edge computing layer and a cloud storage layer; constructing a double-engine evaluation model; carrying out digital twinborn visualization; and scheduling the capability matrix.

The invention relates to the technical field of refrigeration house energy-saving control, and provides a refrigeration house energy-saving control method based on deep reinforcement learning, which comprises the following steps: dividing a refrigeration house according to a multi-scale grid, collecting data in real time, weighting and aggregating according to spatial characteristics, calculating spatial semantic codes and confidence indexes of each grid, and obtaining a standardized and traceable state vector; real-time energy consumption, grid temperature space gradient, long-term exposure economic loss, event condition triggering and weighted summation form a reward function, and a deep strategy network is adopted to train parameters in an accumulated reward mode; constructing a grey box and residual dynamic prediction model, shrinking the original temperature and humidity constraint, solving the prediction model through scenario under the shrinkage constraint, and carrying out weighted fusion on the depth strategy obtained by training and the solution of the prediction model according to confidence; and calculating a statistical value in the sliding window, constructing confidence distribution of strategy return, triggering a hierarchical response according to a detection result, and inputting all triggers into an audit log for threshold self-calibration.

The invention relates to a reinforcement learning-based intelligent grid division method from GIS data to GEOSOT, and relates to the technical field of reinforcement learning, and the method comprises the steps: obtaining a plurality of grid division samples which comprise sample GIS data and a sample optimal grid scale; determining a plurality of grid division influence factors based on the plurality of grid division samples; establishing an intelligent grid division model based on a reinforcement learning algorithm, and training the intelligent grid division model based on the plurality of grid division samples; obtaining to-be-divided GIS data; determining feature data of the to-be-divided GIS data based on the plurality of grid division influence factors; determining an optimal grid scale based on the feature data of the to-be-divided GIS data through the intelligent grid division model; according to the optimal grid scale, the GIS data to be divided are converted into the GeoSOT format, and the method has the advantages that the precision and efficiency of the GIS data in the gridding process are improved, and data redundancy is reduced.

The invention discloses a photovoltaic cluster dynamic grid division method and device based on spatial-temporal characteristics, and the method comprises the steps: obtaining the historical characteristic data of a photovoltaic cluster, and constructing a spatial-temporal characteristic matrix and a data incidence matrix; wherein the historical feature data at least comprises historical meteorological data and historical output power, and the data incidence matrix is an incidence matrix of the historical meteorological data and the historical output power; performing similarity analysis on the spatial-temporal characteristic matrix, and dividing a photovoltaic cluster to obtain an initial grid; giving a reference output mode matched with the current day of the photovoltaic cluster based on the data incidence matrix, and dividing the initial grid to obtain a secondary grid; and carrying out dynamic optimization on the secondary grid, and giving a final grid division result. According to the invention, accurate clustering and dynamic division of photovoltaic sites can be realized.

The invention relates to the technical field of switch cabinet simulation, in particular to a switch cabinet mechanism model construction method, system and device and a medium, and the method comprises the steps: generating a three-dimensional model corresponding to a switch cabinet, carrying out the preprocessing of the three-dimensional model to obtain a simulation model, applying a target parameter in an actual use scene to the simulation model to complete the parameter loading, and obtaining a parameterized model, determining a target relational expression of the switch cabinet, unifying an expression structure and modeling requirements of the switch cabinet, combining the target relational expression with the parameterized model, and generating a mechanism model through modeling processing; simulation adaptability and calculation efficiency are improved through structure simplification and grid division, actual operation parameters are loaded to reflect different working condition characteristics, an electromagnetic field, temperature field and electromagnetic loss multi-physical relational expression is constructed to achieve unified modeling, a mechanism model capable of being used for multiple operation conditions is formed, and the method is suitable for large-scale popularization and application. The method is suitable for application scenes such as switch cabinet design verification, operation maintenance and fault pre-judgment.

The invention relates to a method for synchronously playing multiple channels of videos at a browser end, which comprises the following steps of: (1) acquiring input of multiple channels of video streams, and uniformly decoding the multiple channels of video streams into video objects with a uniform format; step (2), according to the number of input paths of the multi-path video streams and the uniformly decoded video objects, generating a dynamic grid arrangement scheme meeting a preset target at a browser end in real time by adopting a self-adaptive dynamic grid division algorithm; (3) distributing a corresponding video memory block for each path of video stream according to the path number of the plurality of paths of video streams and the generated dynamic grid arrangement scheme; and step (4), based on a video memory multiplexing mechanism, adopting WebGL, and based on the dynamic grid arrangement scheme, synthesizing and rendering video frame textures of multiple paths of video streams on a single canvas to obtain a display picture.

The invention relates to an SPH pollutant transport simulation method based on background grid division particle dormancy. The method comprises the following steps: initializing parallel computing parameters and initializing particle information; copying the to-be-processed data from the CPU end to the GPU end; parallel computing of the SPH method is carried out, wherein the parallel computing comprises the steps of background grid division, particle sorting, background grid state updating, background grid classification, particle searching and computing, dynamic updating grid classification, particle interaction computing solution diffusion, particle position updating, boundary condition processing and repeated iteration; and copying the result data back to the CPU end from the GPU end, and exporting the result data for subsequent analysis and visualization.

The invention provides a temperature control adjusting method and system for printing curing equipment. The temperature control adjusting method of the printing curing equipment comprises the steps that printing data information corresponding to a current printing task is uploaded to a database; the first grid setting factor and the second grid setting factor are used for carrying out grid division on a substrate surface irradiation area of the UV curing equipment, and a plurality of grid areas are obtained; performing target grid screening according to the real-time temperature change characteristic parameters of the grid region to obtain a target characteristic grid; and temperature compensation is carried out according to the adjustment target temperature obtained in the temperature control process of the UV curing equipment according to the temperature change characteristic parameters of the target characteristic grid, the compensated adjustment target temperature is obtained, and temperature regulation and control are carried out on the UV curing equipment according to the compensated adjustment target temperature. The system comprises modules corresponding to the steps of the method.

The invention provides a CAE modeling and grid dividing method and system based on natural language driving, and the method comprises the steps: constructing a triple language model, defining an action-object-adversity triple structure, receiving a natural language instruction, carrying out the standardization processing of the instruction, recognizing and extracting the action, object and adversity components in the instruction, and carrying out the recognition and extraction of the action, object and adversity components in the instruction. The missing necessary parameters are prompted and complemented; based on a predefined analysis rule, extracting a triple conforming to the triple structure from the processed instruction; mapping the triad passing the verification into a corresponding CAE operation instruction through a mapping rule base, and generating an instruction sequence according to a logic sequence of a CAE modeling process; and automatically executing the instruction sequence, completing CAE modeling and grid division operations, and finally outputting a CAE model file. According to the method, the user operation complexity and the professional threshold are remarkably reduced, the modeling efficiency and the model quality are improved, an efficient and intelligent auxiliary tool is provided for engineering design, and the wide application value is achieved.

The invention discloses a layout parameterization hierarchical parallel mesh generation method based on Net. The method comprises the following steps: inputting a layout design file, analyzing hierarchical structure identification ports, generating a port set P and creating an accessed port set V (initial V =); a graph G = (VG, EG) is constructed, VG comprises key vertexes or geometric centers of ports and conductor fragments, an electrically independent Net is generated through traversal of a breadth-first search algorithm or a depth-first search algorithm, and iteration is performed until V is completely equal to P; configuring independent subdivision parameters such as a grid size and a grid algorithm for each Net; net is used as an independent task, grids are divided through parallel computing frameworks such as multithreading, and a complete grid file for subsequent simulation is generated after merging. According to the method, Net automatic identification is realized through graph theory analysis; different Net precision requirements are adapted by differential subdivision parameters, so that waste of computing resources is avoided; through parallel processing, the time consumption of layout grid division is shortened to the time consumption of processing the maximum Net, and the efficiency and the flexibility of simulation pre-processing are remarkably improved.

The invention provides a Gummel curve simulation method and system and electronic equipment, and relates to the technical field of semiconductor device emulation.The method comprises the steps that according to the actual structure of a variable-component SiGe HBT device, division is conducted in combination with a preset grid division strategy, and a discretized grid is obtained; according to the material attribute of the device, carrying out physical attribute binding on each grid point in the discretized grid to obtain a material definition result of the discretized grid; respectively carrying out conventional conductive type doping and component doping on the device to obtain spatial variation doping distribution of the device; combining a preset composite model and a preset mobility model to obtain a physical model set of the device; and a Poisson equation and a carrier continuity equation are solved in combination with numerical values, and a Gummel curve of the variable-component SiGe HBT device is obtained. According to the method, the actual current-voltage characteristics of the device can be accurately reflected, and the core requirement of high-precision simulation is met.

The invention discloses a variable grid method grid automatic division method and device based on vector field guidance. The method comprises the following steps: extracting boundary feature points according to geometric features of an input model boundary so as to construct a feature polygon of a model, and dispersing the feature polygon into a triangular mesh model; constructing a vector field based on a Laplacian operator by using the triangular mesh model; starting from the geometric center of the model, setting an initial quadrilateral grid as an initial paving layer, paving the quadrilateral grid outwards layer by layer, and if the paving layer exceeds the boundary of the model, stopping paving; when each layer of quadrilateral grid deforms, uniform transition is achieved through a size transition template; and finally, generating a boundary quadrilateral mesh of the model by adopting a mapping method, mapping discrete points on the boundary of the feature polygon back to the boundary of the input model, and outputting a generated quadrilateral mesh model. According to the method, full-automatic generation of the quadrilateral mesh can be realized, and the method is particularly suitable for mesh generation in finite element simulation pretreatment.

The invention discloses a modeling method and an analysis method of a geologic body finite element model containing a fault three-dimensional fine structure, and relates to the field of earth science. According to the method, the three-dimensional fault model is properly smoothed, so that the three-dimensional geometrical characteristics of the fault are reserved, and subsequent grid division is facilitated. And meanwhile, during grid division, even if a relatively complex geometric form is adopted, hexahedron units are still adopted, so that more accurate computational simulation is facilitated, and finally, a geologic body finite element model containing a fault three-dimensional fine structure is obtained. According to the invention, flexible adjustment can be carried out according to different geological backgrounds and scientific problems, including but not limited to addition of corresponding material media, friction coefficients, physical equations, fault contact and other parameters, and geologic bodies and faults in a research area can be simulated more accurately and finely. Meanwhile, the geologic body finite element model mesh created by the method can reach million level, and more refined research, simulation and processing work are facilitated.

The invention discloses a regional prevention and control layout planning method and system for a three-dimensional space, and belongs to the technical field of security and protection facility layout. In order to solve the problem that security and protection facilities are difficult to efficiently deploy in a complex three-dimensional environment, the method mainly adopts H3 grid division and kernel density estimation to generate a regional thermodynamic diagram, combines a three-dimensional building model and sight projection to carry out visibility analysis, constructs a dual-objective optimization function, and realizes optimal deployment scheme search through a multi-objective evolutionary algorithm. According to the invention, high-heat coverage, shielding avoidance and equipment cost control of a key area can be realized, and scientificity and efficiency of monitoring deployment in a three-dimensional environment are improved.

The invention provides a group compaction operation-oriented master-slave cooperation space-time planning control method. The method comprises the following steps of 1, determining a construction region boundary and performing equal-area grid division; 2, a road roller starting path is generated through a third-order Bezier curve and curvature constraint, and each road roller generates a local path to the starting point of the target operation area according to the initial position of the road roller; 3, performing multi-machine path coordination based on space-time constraint, performing speed assignment on each point after each road roller completes local path planning from the current position to the starting point of the target area, and calculating expected time required by path completion; 4, a real-time state synchronization and safety protection mechanism is established, all the road rollers broadcast self position information at a fixed frequency in the operation process, the real-time distance between every two road rollers (i, j) is calculated, and the safety distance is set; and the collision between the two road rollers is avoided by judging the real-time distance and the safe distance.

The application discloses a kind of based on data center application inference big model discovers network topology fault and false alarm self-healing visualization method and system thereof, including using grid division algorithm carries out grid division and forms DeepSeek inference network topology and chip resource mark;Visual image processing is carried out in DeepSeek inference network topology, complete network topology resource re-planning and visual data annotation, output DeepSeek inference big model inference conclusion;From network topology gateway configuration file, the transmission protocol of application is used as input parameter and carried out Deepseek inference big model inference analysis, carries out power quantization;DeepSeek inference network topology node is associated, and alarm is carried out in transmission protocol through the fluctuation of power level.The application uses microfluidic chip to manage the chip that inference big model carries out operation, chip resource mark is input into inference big model, and then uses image definition position and inference big model embedded AI algorithm matching discovers network topology, improves big model inference conclusion and visual accuracy.

The invention provides a heterogeneous grid four-dimensional set variation assimilation forecasting method and device which can be applied to the technical field of atmospheric science and numerical mode application. The method comprises the following steps: pre-processing weather prediction data and a plurality of weather observation data of a target area to obtain prediction pre-processing data and observation pre-processing data; performing grid division on the map of the target area to obtain a grid map; mapping the prediction preprocessing data to a gridding map to obtain an initial field gridding map; based on the initial field gridding map, performing ensemble forecasting on the weather of the target area by using a cold start method to obtain ensemble forecasting data; based on the ensemble forecast data and the multiple weather observation data, performing four-dimensional variation assimilation analysis on the gridding map to obtain an assimilation analysis field; and based on the assimilation analysis field, predicting the weather of the target area to obtain a non-uniform grid four-dimensional set variation assimilation result.

The present application relates to the technical field of nuclear engineering mechanics simulation, and specifically discloses a grid fast generation method for a nuclear engineering typical component, comprising: obtaining a geometric model of a nuclear engineering typical component to be processed and grid generation control parameters input by a user in a command stream mode; performing region identification according to a topological structure and geometric features of the geometric model, and determining a grid division strategy of the geometric model according to a result of the region identification and the grid generation control parameters, wherein the grid division strategy at least includes the result of the region identification of the geometric model and a grid division adaptation mode adapted to the result of the region identification of the geometric model, and the grid division adaptation mode at least includes a grid division preselected mode; and performing grid division on the result of the region identification of the geometric model according to the grid division strategy, to obtain a grid generation result of the nuclear engineering typical component. The grid fast generation method for the nuclear engineering typical component can improve grid generation efficiency.

The application provides a heat supply joint control method and system based on heat network system load prediction, and belongs to the technical field of data processing. The method comprises the following steps: performing grid division on a target heat network system heat supply coverage area according to heat supply shunt to obtain a plurality of heat supply areas; performing grade division according to heat supply demand attribute proportion conditions to obtain a first heat supply area and a second heat supply area; obtaining first demand load information; obtaining a historical load information set of the second heat supply area; performing data analysis on a plurality of historical area load information sets to generate a plurality of target feature sets; obtaining real-time feature values of the second heat supply area; inputting the load prediction model to obtain a plurality of second prediction load demands; and performing heat supply joint control on the target heat network system. The application solves the problems of long joint control period and low intelligent degree when heat supply is insufficient in the prior art, and achieves the technical effect of efficiently performing differentiated heat supply in the process of joint control of heat supply units to ensure heat supply.

The application provides a natural resource planning text generation method and system and a storage medium, relates to the technical field of data processing, and comprises the following steps: establishing a grid partition unit in a feature space, performing spatial clustering according to feature vector distribution density; mapping the feature vector to a corresponding partition unit to generate a dynamic material pool containing spatial correlation attributes; generating an outline structure space reference outline based on the spatial correlation attributes; positioning the material pool content by adopting a segmented writing strategy according to the spatial reference outline, generating a text paragraph based on the feature weight of the partition unit; performing structured processing on the text paragraph to obtain a structured processed text; and performing dynamic checking on the structured processed text to output a final planning text. The spatial clustering mapping reduces the processing amount of redundant data and reduces the computing resources.

The application provides a structure grid-based unstructured grid division method and an electronic device. The method determines a calculation domain range of a combustion detonation simulation task, performs surface grid division on a geometric model to obtain a geometric surface representation grid, generates a structure grid according to the geometric surface representation grid and the calculation domain range, performs simulation calculation on the structure grid, determines a grid encryption parameter according to a simulation calculation result of the structure grid, generates an unstructured grid through the grid encryption parameter, the calculation domain range and the geometric surface representation grid, realizes the structure grid-based unstructured grid division, can replace a trial-and-error iterative optimization or a complex dynamic self-adaptive process of the unstructured grid, improves the generation efficiency of the unstructured grid and guarantees the generation quality of the unstructured grid, balances the calculation efficiency while meeting the high-precision requirement, and is suitable for a large-scale parallel environment.

The application discloses a kind of city area photovoltaic cluster dynamic grid division methods based on space-time coupling tensor, comprising: synchronously collecting the active power time series and geographic coordinates of all photovoltaic nodes in city area;Build the heterogeneous space adjacency matrix considering electrical topology constraint, calculate the static space correlation degree between any two photovoltaic nodes;Build the time-shift cross-correlation matrix that captures the moving characteristics of weather system, quantify the dynamic time correlation degree between nodes;Perform space-time feature tensor fusion, obtain global space-time affinity matrix;Photovoltaic nodes are divided using improved spectral clustering algorithm, and the optimal grid number is adaptively determined by contour coefficient, finally generate photovoltaic cluster grid division scheme at this moment;According to grid drift threshold, trigger grid reconstruction.The application can effectively consider physical topology constraint and meteorological time delay characteristics, realize the accurate aggregation of photovoltaic cluster, significantly improve the accommodation capacity and regulation flexibility of distribution network to distributed energy.

The invention provides a simplified generation method and system for a large-scale lattice structure patch. The method comprises the following steps: generating a lattice structure template; based on the lattice structure template, forming a template triangular mesh according to a given radius and a chord error; dividing the template triangular mesh into sub-template meshes which can be connected with each other; the sub-template grids are copied in batches, and the large-scale dot matrix rod piece structure is generated. According to the method, the number of faces in the generated face patches is minimized while it is guaranteed that the face patches generated by the lattice structure meet the required geometric accuracy, the calculation complexity and memory consumption of a face patch simplification algorithm can be reduced, the efficiency of processing the large-scale lattice structure is improved, topological intersection quadratic curve calculation between adjacent rods is simplified, and the calculation efficiency of the large-scale lattice structure is improved. And the calculation result can be reused in patch generation under different geometric accuracies.

The application provides an electro-thermal cooperative verification method and system for a heterogeneous chemical process 3D stacked interconnection structure, relates to the technical field of integrated circuit manufacturing, and comprises the following steps: collecting physical layout information, calculating carrier migration trajectory and actual conductivity distribution, performing grid division and subdivision, calculating current density, joule heat loss and temperature distribution, setting temperature monitoring points, marking hot spot regions, dynamically adjusting functional module working parameters, and realizing temperature control. The application can improve electro-thermal verification precision, reduce the temperature of hot spot regions, prolong the service life of a chip, and optimize the performance of a stacked structure.

The application discloses a power consumption control method for one-screen multi-display, and relates to the technical field of vehicle-mounted screen power consumption control, in particular to a power consumption control method for one-screen multi-display, which comprises the following steps: obtaining historical screen interaction data of a display screen, and performing grid division processing on the display screen; performing screen area classification processing on each screen grid, and performing area weight division to obtain screen area weight data; collecting current screen interaction data in real time, and performing interaction value analysis to obtain partition interaction value data; and dividing the priority of screen display partitions, and adjusting the display effect; the application is used to solve the problem that the existing vehicle-mounted screen power consumption control technology cannot obtain the demand priority of users for display partitions according to historical interaction information of users and display screens, and in combination with current interaction information of users and display screens, and then accurately reduce the power consumption of vehicle-mounted screens when the power consumption of one-screen multi-display vehicle-mounted screens is controlled.

The invention relates to the technical field of online car-hailing, and discloses an online car-hailing transport capacity prediction method and device, computer equipment and a storage medium, and the method comprises the steps: dividing a target geographic region in an electronic map into a plurality of hexagonal grid units; acquiring real-time state data of each vehicle in each hexagonal grid unit, and determining real-time transport capacity data of each hexagonal grid unit according to the real-time state data; and predicting the transport capacity demand change condition of each hexagonal grid unit in a future time period based on the real-time transport capacity data. According to the method, the problems of inaccurate scheduling and response lag caused by insufficient grid division precision and lack of prediction capability in the existing online car-hailing transport capacity management are solved.