50 results about "Grid partition" patented technology

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 discloses a kind of big animal approach avoidance behavior detection method and system, it is related to animal behavior detection technical field, including, 5 or more than 5 standard unit cage is connected in series or parallel to form combined transparent cage, according to the detection paradigm of pre-set, install grid partition, entity partition or entity partition with loose-leaf small door between adjacent unit cage;Using the overhead camera and side video recorder installed in unit cage top synchronously collects the behavior video of big animal in the combined transparent cage;After big animal is introduced into the combined transparent cage and is trained, by changing the state of partition and introducing external stimulant, trigger the approach or avoidance behavior of big animal, and use the behavior video to carry out index analysis.The application solves the problem that the existing detection device is rigid due to structure, which leads to rigid experimental paradigm and difficulty in comprehensive evaluation of complex approach avoidance behavior of animals.In addition, the prior art relies on manual observation and recording, and the analysis efficiency is low and subjective, and high-throughput automatic extraction of animal instantaneous action and fine behavior index cannot be realized.

The application relates to the technical field of urban planning and discloses a CIM urban three-dimensional planning deduction optimization method and system. The method comprises the following steps: acquiring a target area CIM three-dimensional base model and a planning control layer, performing grid division on the CIM three-dimensional base model to obtain a grid three-dimensional unit consistent with the control layer coordinates, and assigning a control index; importing a three-dimensional model of a planning scheme to be deduced, extracting the spatial boundary and the construction index of the three-dimensional model after coordinate registration, mapping the spatial boundary and the construction index to the corresponding grid three-dimensional unit, and checking the control index; calculating the index deviation value of each unit, screening a unit to be optimized, and associating the corresponding spatial information of the unit to be optimized; adjusting the construction parameter of the unit to be optimized, updating the index, repeatedly calculating the deviation and screening until all the units are compliant; and fusing the optimized model and the CIM three-dimensional base model, combining the control index and the checking result to generate a final planning deduction result model. The application can meet the full-process compliance requirements of adapting to urban fine planning control.

This application relates to a method, apparatus, and storage medium for dynamic operation of a power grid based on seasonal scenarios. The dynamic operation includes: constructing a power topology model of a flexible microgrid; obtaining operational data for each grid partition on a target day of the current seasonal scenario; determining update indicators for each grid partition based on the operational data; adjusting the operational status of energy storage devices and the on / off states of remote control switches according to the comparison results of each update indicator with a preset update threshold; determining the grid partition structure; using the grid partition structure and the operational status of the energy storage devices as the initial partition configuration for the next seasonal scenario; and again adjusting the energy storage devices and remote control switches according to the update indicators; and adjusting the operational status of the power topology model in each seasonal scenario, using the current seasonal scenario and the next seasonal scenario respectively. This application improves the power grid's ability to dynamically operate under different seasonal scenarios.

The application discloses a multi-scale grid remote sensing data profiling method and a remote sensing data management method.The profiling method comprises the following steps: obtaining original remote sensing data from a platform front-end data source and obtaining spatial position information corresponding to the original remote sensing data from a platform general control computer; performing grid division on the spatial position information corresponding to the original remote sensing data according to a fixed hierarchical grid to obtain a plurality of spatial grids; performing multi-scale grid coding on all the spatial grids to obtain an initial spatial grid coding set; determining a grid coding division mode according to preset grid hierarchical requirements and preset grid quantity requirements; and re-dividing all the spatial grid codes in the initial spatial grid coding set according to the grid coding division mode to obtain a target spatial grid coding set.The application realizes the representation of remote sensing data under multi-scale conditions, improves the representation precision of remote sensing data, and improves the efficiency, accuracy and precision of remote sensing data indexing and querying.

Embodiments of the present disclosure disclose a variable grid partition-based image alignment method, device and electronic equipment. A specific implementation of the method comprises: acquiring a pair of images to be aligned, wherein the pair of images to be aligned comprises an infrared image captured by an infrared camera and a black light image captured by a black light camera; performing feature point matching on the images to be aligned in the pair of images to be aligned to obtain a set of matching point pairs; performing global image alignment on the images to be aligned in the pair of images to be aligned according to the set of matching point pairs to obtain a pair of globally aligned images; performing variable grid partition on the globally aligned images in the pair of globally aligned images to obtain a pair of variable grid partitioned images; and performing local image alignment on the variable grid partitioned images in the pair of variable grid partitioned images according to the set of matching point pairs to obtain an alignment result. The implementation improves the image quality.

The application provides a battery pack glue filling simulation method and related equipment, including: constructing a space model corresponding to a glue filling area of a battery pack, performing grid division on the space model to obtain an intermediate model, and configuring grid parameters corresponding to grids in the intermediate model to obtain a simulation model; configuring material properties and boundary conditions of the grids of the simulation model to obtain a calculation model; based on the material properties, the boundary conditions, and the calculation model, performing glue filling simulation on the battery pack to obtain a to-be-determined simulation result, and solving the calculation model based on the material properties and the boundary conditions to obtain a calculation result; in a case where the calculation result indicates that the calculation model reaches a convergence condition, taking the to-be-determined simulation result as a target simulation result and outputting. In the application, the optimization cost of the glue filling process of the battery pack is reduced.

The application discloses a pipeline liquid accumulation thickness prediction method, device, equipment and storage medium. The method comprises the following steps: constructing a pipeline physical model and carrying out grid division, acquiring a gas-liquid two-phase flow numerical calculation model and a boundary condition and completing parameter configuration, carrying out numerical simulation under multiple working conditions to obtain liquid accumulation thickness simulation data sets under different working conditions; significant factors affecting liquid accumulation thickness are screened out through orthogonal test design and range analysis, response surface fitting is carried out based on the significant factors and the simulation data sets, and a pipeline liquid accumulation thickness rapid prediction model is established; finally, the gas phase flow rate and the water phase volume fraction of the pipeline to be predicted are input, and the pipeline liquid accumulation thickness result can be obtained. The application considers the accuracy of numerical simulation and the rapidity of the response surface model, can efficiently and accurately predict the pipeline liquid accumulation thickness, and provides reliable technical support for corrosion risk assessment, liquid discharge pigging and operation and maintenance strategy optimization of the gathering pipeline.

The application provides a mass concrete temperature monitoring method and device for super-wide-section open-cut tunnel construction, and relates to the technical field of building engineering. The application constructs a three-dimensional model by collecting tunnel geometric parameters, performs grid division to generate a simulation model in combination with concrete material properties, calculates the temperature gradient modulus of nodes at each time step by simulating the whole process from pouring to cooling of the concrete, constructs a gradient extraction neighborhood with the initial temperature monitoring point as the center, extracts the maximum gradient strength in the neighborhood and calculates the gradient integral index, thereby screening out the candidate monitoring points, and finally selects the final monitoring points with the best representation by calculating the representative weight between the candidate monitoring points and the nodes, and arranges the temperature sensors, so that the scientific and dynamic monitoring of the concrete temperature field is realized, and the monitoring accuracy and efficiency are effectively improved.

This invention relates to the field of route planning technology, specifically to a rural grid-based governance planning method, system, and storage medium. By introducing an adaptive rotating grid division mechanism, this invention provides a rural grid-based governance planning method and system. First, a two-dimensional electronic map of the village is divided and labeled into grids. The number of road surface planning grids is obtained, and multiple sets of planning sets are constructed within the flat ground grids, from which candidate planning sets are selected. For the skeleton in any candidate planning set, skeleton connection rules and grid allocation rules are set based on the number of road surface planning grids and the road surface grids. The skeletons are connected according to these rules to obtain the final skeleton. Finally, the final skeleton of the optimal candidate planning set is selected for road paving. This invention's method and system significantly improve the refined utilization rate of construction resources while reducing construction costs, enhancing the overall connectivity and accessibility of the rural road network, and showing promising application prospects.

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 application discloses a kind of natural gas hydrate core decomposition and transport property prediction method, comprising: constructing core geometric model and carrying out grid division;Chemical kinetics model and transport multiphase percolation model of natural gas hydrate decomposition are constructed;Decomposition chemical kinetics model and transport multiphase percolation model are compiled respectively using C language, and embedded in Fluent software in the form of mass and energy source term;The initial distribution of natural gas hydrate, water, gas three phases in core is inverted, and the initial distribution law of natural gas hydrate is obtained;Based on the initial distribution law of natural gas hydrate, the decomposition and transport property of natural gas hydrate core under different exploitation conditions is predicted using Fluent software.The prediction method fills the blank of existing core natural gas hydrate core decomposition and transport prediction method.

The application relates to the technical field of intelligent management and control of parking lots, in particular to a parking lot abnormality alarm method and system based on space-time behavior modeling, which comprises the following steps: S1. performing grid division on the global physical space of a parking lot, binding scene attributes, normal behavior time sequence rules and space interaction rules for the grid units, fusing space information and rule information to generate space-time semantic coding, and constructing a space-time semantic benchmark system. The application performs grid division on the global physical space of a parking lot and generates globally unique space-time semantic coding, constructs a space-time semantic benchmark system covering all scene behavior rules, converts target full-cycle behavior into a standardized space-time behavior semantic sequence, builds a space-time behavior cause-and-effect chain benchmark graph and a real-time behavior cause-and-effect chain graph, and incorporates the behavior time sequence continuity and space displacement correlation of personnel and vehicles in a parking lot into the core logic of abnormality determination.

The application discloses a high-precision two-dimensional code recognition method, through the synergistic processing of light compensation and contrast enhancement, the image details under extreme light difference are effectively balanced, and the feature recognition degree of a low-quality two-dimensional code area is greatly improved; the region segmentation link fuses adaptive threshold binarization, morphological open operation and geometric feature screening logic, accurately separates the two-dimensional code from complex background elements such as dense lines and pads, and greatly reduces the misjudgment and omission rate caused by background interference; the generative adversarial network model based on the improved U-Net architecture realizes the accurate completion of multiple types of damage such as positioning angle defects and data module missing, solves the pain point that the traditional algorithm has insufficient processing capacity for a multiple-defect concurrent scene; through the accurate sampling and grid division strategy of a high-resolution industrial camera, the integrity of the data matrix in the code is ensured, and the recognition success rate is greatly improved.

The application relates to an AI-based low-altitude airspace grid dynamic division and management method and system, which comprises the following steps: collecting a multi-source data set corresponding to a target low-altitude airspace in real time, and generating an airspace situation image; performing demand analysis on the airspace situation image to obtain operation demand information, and calculating and generating grid division parameters; generating a dynamic airspace grid through a grid division algorithm, and allocating an airspace resource identifier; obtaining aircraft information and generating planning path information; issuing the planning path information to a management end and performing operation state monitoring; evaluating an airspace situation change amount based on the operation state monitoring result, and triggering a dynamic adjustment mechanism if the change amount exceeds a change threshold; and in summary, the application realizes dynamic management of a low-altitude airspace by collecting multi-source data in real time, generating an airspace situation image, performing demand analysis on the airspace situation image, dynamically dividing a grid, performing collaborative path planning and monitoring adjustment based on the dynamic airspace grid, and the like.

The application belongs to the technical field of marine environment data management, and specifically discloses a marine environment index construction method and system based on dynamic block division. The method comprises the following steps: collecting multi-dimensional marine data; performing dynamic grid division based on the three-dimensional space features of the marine data to generate a 3D stereoscopic grid; calculating the weight value corresponding to the grid according to the number of data points in the grid, the grid space range and the data time span, splitting or merging the grid by combining the weight value with the weight threshold, so as to realize dynamic block division of the 3D stereoscopic grid; performing normalization processing on the space-time coordinates in the 3D stereoscopic grid, and generating linearized space-time encoding keys through space-filling curve encoding; performing weighted hash operation on the environmental parameters and the preset weight parameters to generate a parameter hash value, and splicing and compressing the space-time encoding keys and the parameter hash value to generate a globally unique index key. Through the application, efficient storage and rapid retrieval of high-dimensional marine data are realized.

The application discloses a multi-robot cooperative pursuit method and system based on elliptical robustness control, and the method comprises the following steps: defining a pursuit space and setting corresponding variable parameters, constructing a pursuit kinematics equation; sequentially performing grid division and retrieval processing on the pursuit space, and acquiring the shortest path of the space node; based on the elliptical robustness control strategy, the pursuit kinematics equation is updated and optimized, and combined with the shortest path of the space node, a dynamic target position is generated; and the pursuers cooperatively pursue the runner according to the dynamic target position. The system comprises a construction module, an acquisition module, a generation module and a pursuit module. By using the application, the problem of pursuit dead point can be solved, the effect of avoiding collision between pursuers can be achieved, and the efficiency of robot cooperative pursuit can be improved. The application can be widely applied to the technical field of pursuit and encirclement.

This invention provides a path planning method for an anti-swarm interceptor cluster, belonging to the field of artificial intelligence technology. The method includes: calculating the direction vector between continuous trajectory points of the target swarm based on its location information within the current time period, and predicting the interception zone of the target swarm; adaptively calling target planning strategies from a pre-built strategy library according to the application scenario at the current moment to generate a cooperative path for the interceptor cluster, the endpoint of which is within the interception zone; the strategy library includes a lightweight fast response strategy based on height difference collision avoidance, a progressive optimal search strategy based on random sampling, and a high-safety optimization strategy based on dynamic grid partitioning; if an abnormal situation is determined to occur in the interceptor cluster and / or the target swarm during the interceptor cluster's execution of the interception task based on the cooperative path, the cooperative path is updated. This invention improves the real-time performance, security, and adaptability of path planning by adopting an adaptive path planning strategy.

The application discloses a large-scale low-altitude conflict detection and early warning method based on a multi-scale space grid, and comprises the following steps: S1, dividing a target space according to a large-scale grid; S2, judging potential conflicts according to the grid occupation of each large-scale grid based on the position of a low-altitude flying vehicle and the large-scale grid coding, marking potential conflict areas, and excluding non-conflict areas; S3, dividing the large-scale grid marked as a potential conflict area into several medium-scale grids; S4, for each medium-scale grid, predicting a future path and grid occupation based on a time window, screening potential conflict areas, and excluding non-conflict areas; S5, dividing the medium-scale grid marked as a potential conflict area into several small-scale grids; and S6, for each small-scale grid, constructing a fusion risk model by superimposing an environmental risk on a grid occupation state based on a time window and an environmental risk, judging a conflict early warning level according to a preset conflict judgment threshold, and issuing a conflict early warning.

The application relates to the technical field of urban planning and discloses a CIM urban three-dimensional planning deduction optimization method and system. The method comprises the following steps: acquiring a target area CIM three-dimensional base model and a planning control layer, performing grid division on the CIM three-dimensional base model to obtain a grid three-dimensional unit consistent with the control layer coordinates, and assigning a control index; importing a three-dimensional model of a planning scheme to be deduced, extracting the spatial boundary and the construction index of the three-dimensional model after coordinate registration, mapping the spatial boundary and the construction index to the corresponding grid three-dimensional unit, and checking the control index; calculating the index deviation value of each unit, screening a unit to be optimized, and associating the corresponding spatial information of the unit to be optimized; adjusting the construction parameter of the unit to be optimized, updating the index, repeatedly calculating the deviation and screening until all the units are compliant; and fusing the optimized model and the CIM three-dimensional base model, combining the control index and the checking result to generate a final planning deduction result model. The application can meet the full-process compliance requirements of adapting to urban fine planning control.

The application provides a highway project grid dynamic risk grading management and control method and system, relates to the technical field of computers, and first acquires an initial grid division scheme of a construction area, carries out risk source distribution mapping processing on the initial grid division scheme, carries out spatial position correlation matching of risk source characteristic items in a risk source characteristic library and basic grid units, obtains a risk source distribution mapping result, carries out boundary intersection superposition analysis on the risk source space influence range of adjacent grid units based on the risk source distribution mapping result, generates a grid risk correlation relationship network, carries out dynamic risk level redivision on the basic grid units according to the grid risk correlation relationship network, obtains redivision risk level labels and risk level effective time windows, generates a grid dynamic risk grading management and control scheme and distributes the grid dynamic risk grading management and control scheme to target grid management and control terminals to execute differentiated management and control instructions. The application realizes the space-time dynamic correlation management and control of risks, and significantly improves the management and control accuracy and timeliness.

The application relates to a target detection knowledge distillation method based on multi-scale channel-space decoupling, which comprises the following steps: multi-scale feature decoupling: introducing 1x1, 2x2 and 4x4 grid division in the output layer of a feature pyramid network, independently calculating channel attention weights of each region, and eliminating the interference of background noise on small target features; dynamic knowledge weighting: dynamically adjusting loss weights according to the prediction consistency of teacher-student models, applying a reinforcement coefficient to a prediction conflict region, and improving the learning efficiency of local discriminative features; double weight fusion: combining channel activation intensity and region complementarity evaluation to generate a composite weight, and preferentially retaining key detail features in high activation channels. The application solves the problem of low cross-scale knowledge transfer efficiency caused by the coupling of channel and spatial features in the prior art by constructing a teacher-student collaborative distillation framework, and improves the detection precision and generalization ability of a lightweight student model.

The present application relates to the technical field of computer simulation analysis, and particularly relates to a plate shell structure grid division method and device, electronic equipment and storage medium, the method comprising: obtaining a feature structure image of a to-be-detected plate shell; identifying the feature structure image based on a preset deep learning feature recognition model to obtain a region feature recognition result of the to-be-detected plate shell; determining a typical feature region and an atypical feature region of the to-be-detected plate shell according to the region feature recognition result, determining a first grid division strategy of the typical feature region, and performing grid division on the typical feature region based on the first grid division strategy, and performing grid division on the atypical feature region based on finite element software, thereby solving the problem of low finite element analysis grid quality qualification rate and low work efficiency caused by the excessively complex geometry of the plate shell structure in the related art, improving the typical feature region grid division quality and the efficiency of finite element analysis.

The application provides a structured geological data set construction method and device, and relates to the technical field of geological data processing. The structured geological data set construction method comprises the following steps: based on a preset multi-level grid division rule, performing multi-level grid division and feature extraction on a geological image of a preset region to obtain grid feature data and a grid position corresponding to each grid; and constructing a geological data set of the preset region according to the grid feature data and the grid position corresponding to all the grids. The application can effectively improve the efficiency of geological data set construction.

The application discloses a credit anti-fraud blacklist area identification system and method based on grid division, which comprises a data acquisition and preprocessing module for acquiring and preprocessing GPS coordinate data and face recognition images to obtain preprocessed GPS coordinate data and preprocessed image features, and acquiring business data; a gridding division and coding module for performing spatial discretization and grid coding according to the preprocessed GPS coordinate data to obtain GPS grids, and according to the business data, counting a plurality of indexes in each GPS grid; a feature engineering construction module for determining a plurality of feature vectors based on the plurality of indexes and the preprocessed image features; and a black grid identification model training and execution module for inputting the plurality of feature vectors into a trained black grid identification model to obtain a black grid identification result. The application can improve the accuracy of identifying credit anti-fraud blacklist areas.

This application relates to the field of performance testing technology, and discloses a method, device, and electronic equipment for adjusting the probe height of a flying probe tester. The method involves dividing the circuit board under test into a grid, determining multiple grid cells; obtaining a first height deviation of the target sampling point within each grid cell; determining a second height deviation based on the first height deviation; determining a third height deviation of the test point based on the second height deviation; and adjusting the probe height of the flying probe tester based on the third height deviation when performing a probe test on the test point. This application, by dividing the circuit board under test into multiple grid cells and determining the height deviation of each grid cell, allows for the calculation of the probe height corresponding to test points in different areas of the circuit board under test, solving the problem that related technologies cannot adapt to local height changes. This enables the probe height to be adjusted according to the height deviation of the grid cell where the test point is located, improving test reliability.

This invention discloses a high-precision 3D geological modeling method for chamber hydrogen storage using multi-source data collaborative calibration, belonging to the field of chamber hydrogen storage and 3D modeling technology. Addressing the shortcomings of existing methods, such as poor multi-source data fusion, lack of dynamic calibration mechanisms, and insufficient grid adaptability, this invention comprises the following steps: First, data from seismic, borehole, outcrop, and 3D laser scanning sources are collected and preprocessed to construct a standardized database. Then, a reliability evaluation system is established, and contradictory data are iteratively calibrated using an improved Kriging method. Next, key geological areas are identified, and an adaptive hybrid grid partitioning strategy is adopted. Subsequently, an initial model is constructed and iteratively optimized through cross-validation and borehole matching verification. Finally, the model is output, and a dynamic update mechanism is established. This invention effectively improves data reliability and modeling accuracy, reduces computational costs, and provides more accurate 3D geological modeling results for related fields of chamber hydrogen storage engineering.

The application belongs to the field of volumetric mesh, and provides a large volumetric mesh block data structure and subdivision acceleration method based on GPU, which is mainly used for parallel subdivision and reconstruction of large-scale volumetric mesh, can fully utilize shared memory under the GPU architecture, improve local calculation efficiency, avoid global memory overflow problem, and is suitable for engineering simulation, 3D modeling, physical solution and scientific calculation and the like.

This invention relates to the field of power grid partitioning, and discloses an adaptive grid partitioning optimization method, apparatus, equipment, and storage for distribution networks. The method includes: acquiring geographical coordinates, load time-series curves, and multi-entity management boundary data of the distribution network; constructing a three-scale fusion feature based on the acquired data; constructing a three-layer heterogeneous graph based on the three-scale fusion feature, wherein the three-layer heterogeneous graph includes a geographical layer, a load layer, and a management layer graph; fusing the adjacency relationships of the geographical layer, load layer, and management layer graph through a weighted strategy with dynamic weight adjustment to form a global coupled feature graph; constructing a multi-entity benefit objective function; using the objective function as the optimization objective, employing a spatiotemporal hybrid optimization algorithm to perform multi-objective collaborative optimization on the initial grid scheme, and outputting spatiotemporal partitioning results. This invention, by constructing a three-scale fusion feature and forming a global coupled feature graph, effectively improves the accuracy and dynamic adaptability of grid partitioning.