23 results about "Spatial function" patented technology

The invention discloses a street building group automatic layout and iterative optimization method based on a TFM architecture, and the method comprises the steps: constructing a structured learnable graph attention matrix through high-precision point cloud data, and coding a building unit space topological relation and economic indexes through combining a historical case library; the method comprises the following steps: dynamically modeling a space function association relationship of a building group by utilizing a multi-head graph attention Transform module, and integrating space and function constraint conditions through a hierarchical constraint injection mechanism; an autoregression graph generation model is adopted to generate a preliminary layout scheme based on land parcel features and global constraints, and multi-target iterative optimization is carried out through a genetic algorithm in combination with a fitness function; and finally outputting a three-dimensional layout scheme meeting multi-dimensional indexes such as the plot ratio, the building density and the greening rate. According to the method, the traditional artificial experience driving limitation is broken through, adaptive learning and optimization under the multi-constraint condition are supported, the design period is shortened from several weeks to several hours, and the scientificity and feasibility of the scheme are remarkably improved.

The invention relates to a territorial space multi-level function data analysis processing method and device, belongs to the technical field of land space distribution data processing, and solves the problems of inconsistent function positioning of different types of territorial spaces and insufficient accuracy of analysis result data in an existing territorial space function analysis method. The invention discloses a territorial space multi-level function data analysis processing method and device. A land parcel is strengthened according to a purpose-function conversion matrix so as to update a function identification unit of the land parcel; quantifying the spatial distribution density of each type of POI of the land parcel according to the kernel density of the POI data; calculating the distribution frequency of different POI types in each function type in the function identification unit; in combination with a kernel density analysis result and a frequency density analysis result, carrying out weighted calculation and standardization processing on the spatial function value of each function identification unit; and determining a data analysis result of each function identification unit in each function hierarchy framework. According to the method, the land space layering is analyzed and processed, so that the accuracy of analysis result data is improved.

The present application provides a kind of village area spatial function characteristic measure method based on multi-source geographic information data, comprising: obtaining the geographic information space data of regional space, pre-processing geographic information space data;Participatory evaluation method is used to data analysis to the pre-processed geographic information space data;The data after analysis is counted, and multi-source geographic information data is obtained;Multi-source geographic information data is fused;The accurate identification of regional production-life-ecological space is carried out to the data after fusion;According to the identification result, the spatial function measure index system based on production-life-ecology-vitality is constructed;Based on the spatial function measure index system, the function of the region is measured, and the space resource is distributed according to the measurement result;The present application focuses on village scale, and carries out household survey, and this research scale and method selection has unique advantage.

The application relates to a land space multi-level function data analysis processing method and device, and belongs to the technical field of land space distribution data processing. The application solves the problem of inconsistent function positioning of different types of land space in the existing land space function analysis method and the problem of insufficient accuracy of analysis result data. The land space multi-level function data analysis processing method and device of the application update the function recognition unit of a plot according to a use-function conversion matrix; quantize the spatial distribution density of each type of POI of the plot according to the kernel density of POI data; calculate the distribution frequency of different POI types in the function recognition unit in each function category; combine the kernel density analysis result and the frequency density analysis result to perform weighted calculation and standardization processing on the spatial function value of each function recognition unit; and determine the data analysis result of each function recognition unit in each function level framework. The application improves the accuracy of the analysis result data by analyzing and processing the layered land space.

This application relates to a method, apparatus, electronic device, computer-readable storage medium, and computer program product for displaying spatial information. The method includes: displaying a spatial function map corresponding to the space; the spatial function map showing spatial function points; the spatial function points representing the spatial service functions that the space can provide; the spatial service functions representing the service functions supported by the device functions of at least one device associated with the space; and displaying the activation status of the spatial function points in the spatial function map. This method can more vividly display space-related information.

The invention provides a spatial data version control and difference display method and system and a medium, and the method comprises the steps: building a version table based on a PostGIS database, and forming a chained version structure; acquiring spatial data before and after modification, comparing the spatial data before and after modification based on a PostGIS spatial function to obtain a difference record when the layer data is modified, and writing the difference record into a version table; obtaining a target version selected by a user, obtaining corresponding spatial data in the version table based on the target version, and recovering the spatial data to the target version; the spatial data of different versions are compared, a GeoServer difference layer is called, difference information between the different versions is analyzed based on the GeoServer difference layer, and the difference information is displayed in different modes; a new version node is generated in each modification, the history is completely recorded, only the difference is saved, and full copy is avoided.

A modeling method for a gradient wall thickness TPMS porous structure based on additive manufacturing belongs to the field of porous structures. A surface is generated according to the spatial function of the TPMS structure, and the surface is divided into a grid. The nodes on the grid are first biased to generate a grid of uniform thickness; the normal of the surface where each node in the uniform grid structure is located is selected as the direction of the secondary offset, the coordinates are read, and the coordinate origin is taken as the reference point. According to the distance between each node and the reference point, all nodes are sorted from near to far. The result of the sorting corresponds to the offset of each node. The offset and the offset direction are combined to form a new vector; all nodes generate a new grid after the secondary offset with the new vector; the closer to the center of the structure, the greater the offset of the node, and the greater the thickness value of the structure, forming a TPMS porous structure with continuous gradient wall thickness. The present invention can design porous structures with different gradient wall thicknesses by modifying parameters, and is suitable for complex mechanical environments.

The application discloses a method, device and system for planning a dump site based on multi-source data, and a storage medium. The method comprises the following steps: obtaining and preprocessing multi-source data of a dump site to obtain preprocessed multi-source data; constructing a multi-source spatial function set based on the preprocessed multi-source data; constructing a perturbation tensor field based on the multi-source spatial function set; evaluating the dumping cost of each dumping point to generate a dumping potential field; generating a dumping path cooperative entropy field based on the perturbation tensor field and the dumping potential field; and updating the dumping path based on the dumping path cooperative entropy field. The method provided by the application can improve the scientificity and rationality of the dump site planning.

The invention discloses a ground engineering digital delivery system, which relates to the field of digitization and comprises an acquisition module, a preprocessing module, a coding module, an association module and a management module. The acquisition module acquires full-life-cycle multi-type data and adds an identifier; the preprocessing module cleans the data and constructs a space-function-material three-level classification system; the coding module distributes unique codes of levels, objects and feature items to generate an association mapping table; the association module constructs a feature item data set, optimizes and calculates similarity, and establishes and quantitatively evaluates an association relationship; and the management module stores and visually displays the total data. The method realizes deep association and reliable processing of ground engineering data, improves digital delivery quality and operation and maintenance efficiency, and is suitable for ground engineering projects of oil fields, chemical engineering and the like.

The invention discloses a natural resource space planning management system based on territorial space element data, relates to the technical field of space planning, and provides high-quality data support for subsequent analysis by generating a standard space element data set Fstd with consistent structure specifications through unified structure conversion and standardization processing of original space data Draw; the attribute confrontation evaluation module constructs a function attribute vector Ex based on a standard space element data set Fstd, further calculates to obtain a tension matrix F, and realizes quantitative analysis of confrontation relationships among multiple types of space function types from the source; the spatial overlapping extraction module constructs a conflict unit set Cink and a spatial overlapping index vector Mw thereof through spatial geometric analysis, so that automatic identification of potential conflict areas and quantitative characterization of overlapping strength are ensured, full-dimension quantitative evaluation of spatial planning conflict strength is realized, and an automatically executed spatial conflict identification and mediation process is achieved.

The present application belongs to the technical field of urban computing and data mining, and in particular to a multi-view urban area embedding method based on spatial function consistency. The method comprises the following steps: S1: multi-view data collection and processing; S2: spatial function consistency intra-view representation learning; S3: intra-regional cross-view interaction; S4: inter-regional cross-view interaction; S5: double-feature attention fusion; and S6: downstream task application. The present application can effectively suppress information interference caused by noise edges and weakly related connections, and improve the accuracy and stability of regional local structure modeling. At the same time, the present application enhances the global semantic connectivity and cross-view information propagation capability of the regional representation. On this basis, through a double-layer attention fusion mechanism, adaptive integration of multi-view features and inter-regional associated features is realized, further improving the discriminability, robustness and generalization capability of the final regional embedding representation.

The invention provides a space intelligent path generation method and device based on space function topology and a medium, belongs to the technical field of space intelligence, and can enable the space intelligent navigation and path planning technology not only to depend on geometric distance, but also to model space function semantics and topology logic constraints. The space function topology-based space intelligent path generation method comprises the following steps: obtaining structure information of a space environment to construct a topological graph, the structure information comprising space structure information and function region information; performing information propagation and aggregation on nodes of the topological graph by using a graph neural network to generate a global topological embedding matrix; and based on the global topology embedding matrix, selecting an optimal path between the nodes, so that the optimal path can be reached in a physical space and logic constraints are met. The invention discloses an intelligent spatial path generation device based on spatial functional topology and a computer storage medium.

The embodiment of the invention relates to the technical field of territorial space planning, and particularly discloses a territorial space planning intelligent index accurate calculation algorithm system and a method thereof. According to the embodiment of the invention, multi-source spatial data of a target planning area are collected; dividing the target planning area into a plurality of measurement and calculation units; carrying out normalization processing, and calculating the calculation scores of the plurality of calculation units; and constructing a multi-dimensional spatial distribution diagram of the target planning area, and dividing the target planning area into a plurality of spatial functional areas. The method can collect multi-source spatial data of a target planning area, divide the target planning area into a plurality of measurement and calculation units, perform data extraction and normalization processing on a plurality of measurement and calculation indexes, calculate measurement and calculation scores of the plurality of measurement and calculation units, construct a multi-dimensional spatial distribution map, and divide a plurality of spatial functional areas, and has consideration of dynamic adjustment and regional difference. Automatic index measurement and calculation of land space planning can be realized, and the accuracy and the stability of a measurement and calculation result are effectively improved.

The application provides a cross-brand device compatibility adaptation method for a smart community, constructs a community space semantic model, binds a physical device to a space node in the community space semantic model through a space anchor point mechanism, issues a corresponding standard space instruction set to the physical device according to the space node, acquires a response result, constructs a dynamic mapping relationship through the response result, and performs compatibility adaptation according to the dynamic mapping relationship; the community space semantic model is constructed, the physical device is bound to the space node, the device capability is detected through the standard space instruction set, the dynamic mapping relationship is constructed, and the compatibility adaptation of cross-brand devices is realized, so that the problems of logical fragmentation and scene fragmentation in the traditional adaptation method are solved, and the adaptation flexibility is improved through a space negotiation mode; the dynamic mapping relationship is maintained and updated, so that the devices are still in a normal adaptation relationship after device failure, replacement or space function adjustment, and cross-brand device compatibility is realized through this method.

The invention provides a high and cold pasturing area territorial space function classification data processing method and system, and relates to the technical field of data processing, and the method comprises the steps: 1, collecting and processing multi-source space data of a high and cold pasturing area, and constructing a territorial space element database; step 2, based on the territorial space element database, evaluating the grazing degree of each space unit, and generating a spatial distribution data set of the grazing degree of the alpine pasturing area; and step 3, performing spatial overlay analysis on the spatial distribution data set of the grazing degree of the high and cold pasturing area and the range of the prohibited development area in the main body functional area planning, and performing geometric fusion on an intersection area generated by overlay to obtain a preliminary territorial space functional partition data set. The ecological protection and agricultural development requirements are coordinated, and the intelligence of territorial space function classification is improved.

The invention discloses a method and system for evaluating the failure possibility of a pipeline evaluation area, and the method comprises the following steps: obtaining an index evaluation result of each failure possibility of each pipeline in a gas pipe network, the index evaluation result comprising an index type and an evaluation result; dividing the pipelines with the same index type and corresponding to the same evaluation result into one group to obtain a plurality of pipeline classification groups; extracting spatial data information of each pipeline in each pipeline classification group, and aggregating the spatial data information by using a spatial function to obtain spatial information of the pipeline classification groups; and performing DE-9IM spatial topological relation comparison on the spatial information of the evaluation unit and the spatial information of each pipeline classification group, and taking an index evaluation result corresponding to the successfully compared pipeline classification group as an index evaluation result of the evaluation unit. According to the method, the space function is used for replacing the processes of pipeline traversal in the evaluation unit and index library comparison and judgment, so that the computing resources are saved, and the computing efficiency is improved.

The application provides a space intelligent path generation method and device based on a space function topology and a medium, belongs to the technical field of space intelligence, and can make space intelligent navigation and path planning technology not only depend on geometric distance, but also model space function semantics and topological logical constraints. The space intelligent path generation method based on the space function topology comprises the following steps: acquiring structural information of a space environment to construct a topological graph, wherein the structural information comprises space structural information and function area information; performing information propagation and aggregation on nodes of the topological graph by using a graph neural network to generate a global topological embedding matrix; and selecting an optimal path between nodes based on the global topological embedding matrix to make the path reachable in a physical space and meet logical constraints. The application exemplarily discloses a space intelligent path generation device based on a space function topology and a computer storage medium.

This invention belongs to the field of urban computing and data mining technology, and specifically to a multi-view urban region embedding method based on spatial functional consistency. It includes the following steps: S1: multi-view data collection and processing; S2: spatial functional consistency in-view representation learning; S3: cross-view interaction within the region; S4: cross-view interaction between regions; S5: dual-feature attention fusion; S6: downstream task application. This invention effectively suppresses information interference caused by noisy edges and weakly correlated connections, improving the accuracy and stability of local structure modeling. Simultaneously, it enhances the global semantic connectivity and cross-view information propagation capabilities of the region representation. Furthermore, through a dual-layer attention fusion mechanism, it achieves adaptive integration of multi-view features and inter-regional correlation features, further improving the discriminativeness, robustness, and generalization ability of the final region embedding representation.

This invention discloses a spatial function coordination and optimization method and system for climate adaptability, belonging to the field of geographic information and spatial planning technology. The method quantifies the supply of ecosystem services in ecological, agricultural, and urban spaces by collecting multi-source data and conducting dynamic assessments; then, it constructs a functional coordination model to analyze the supply and demand relationships and spatial flows, identifying areas of coordination and conflict; finally, it integrates future climate scenarios and generates spatial configuration optimization schemes that balance climate adaptability and development constraints through iterative simulations using multi-objective optimization algorithms. The corresponding system includes five modules: data acquisition and preprocessing, dynamic ecosystem service assessment, coordinated analysis of the functions of ecological, agricultural, and urban spaces, climate adaptability scenario simulation and optimization, and decision support and visualization output. This invention solves the problems of static assessment, fragmented spatial analysis, and lack of climate foresight in traditional methods, significantly improving the climate adaptability and scientific rigor of spatial planning.

This invention provides a public space evaluation method that integrates social perception data. Through multi-source perception data collection, behavior log construction, group behavior feature extraction, spatial function modeling, behavior-function matching degree assessment, and attribution analysis, it achieves quantitative diagnosis of the adaptability of community public spaces among different groups. By integrating visual tracking and questionnaire annotation, a multi-dimensional log with behavioral semantics is formed. Spatiotemporal clustering and topic modeling are used to extract group behavior fingerprints, and a spatial ontology library is used to quantify the service attributes of each functional unit. Based on an intent mapping mechanism, the matching degree between behavior and space is determined. Combined with counterfactual simulation and causal analysis, spatial mismatch and its causes are located. This invention can automatically identify service blind spots and output space optimization suggestions for different groups, improving the refinement and fairness of community public space governance.

The invention relates to the technical field of space calculation, and provides a space calculation method and device. The method comprises the following steps: registering a user-defined spatial function on a front-end node; controlling the front-end node to generate a space calculation task for a user-defined space function; controlling the cost optimizer to generate an optimal cost calculation plan for the space calculation task; and controlling the back-end node to accelerate execution of the optimal cost calculation plan by using the SIMD instruction set to obtain a calculation result of the spatial calculation task. According to the method, the SIMD instruction set acceleration calculation of the back-end node is usually calculation of the geometric data in a column mode, so that the calculation efficiency can be improved, and the back-end node is usually storage of the geometric data in the column mode, so that the memory occupancy rate can be reduced, IO delay can be reduced, resource consumption is reduced, and the calculation efficiency is improved. The back-end nodes have the characteristic of distributed deployment, so that load balancing can be realized through transverse expansion of the back-end nodes.

The invention discloses a park-level operation method and system based on multi-agent cooperation and a medium, and relates to the technical field of smart parks. The method comprises the following steps: acquiring data information of at least one agent from a digital twin model; constructing a spatial function diagram based on the data information of the at least one agent; in response to triggering the first event, determining a first agent associated with the first event; determining a second agent associated with the first agent based on the spatial function diagram; and determining a target execution strategy based on the scene information of the first event, and performing cooperative control on the first agent and the second agent based on the target execution strategy. Therefore, deep collaboration with the digital twinborn model can be realized, and park decision control is optimized, so that redundant communication traffic is reduced, and the accuracy of park decision is improved.