49 results about "Spatial Visualization" patented technology

The invention relates to the field of smart cities, in particular to an urban landscape semantic segmentation method and system based on a large model, and the method comprises the steps: obtaining street view image data of a target geographic region; inputting the streetscape image data into a preset image semantic segmentation model, analyzing the streetscape image data through the image semantic segmentation model, and identifying various predefined environmental element categories contained in each image; calculating an urban landscape quantitative index based on the recognition result of the environmental element category; associating the calculated value of the urban landscape quantitative index to a corresponding road section or node in the road network spatial data corresponding to the target geographic area; generating a road network space visualization layer representing the value of the index value in a color grading manner based on the result after association; and according to a preset index threshold value, identifying the spatial road sections or nodes meeting the early warning conditions in the visual layer and generating prompt information. And the scientificity and comparability of an analysis result are ensured.

The invention discloses a plain small watershed nitrogen and phosphorus pollutant collaborative source analysis method, which belongs to the technical field of environmental pollution traceability, and comprises the following steps: 1, collecting multi-source basic data in a target plain small watershed, carrying out unified coordinate system, format and precision preprocessing, and constructing a watershed basic database; and 2, constructing a response relation model of various pollution sources and potential pollution loads on a GIS platform based on a drainage basin basic database, qualitatively identifying main pollution sources through spatial visualization analysis, and delineating key risk areas. According to the method, macroscopic spatial analysis, microchemical tracing and mathematical model calculation are organically fused, high-precision spatial data, hydrochemical and isotope analysis, multi-model quantitative analysis and uncertainty quantification are integrated, and high-precision and high-reliability cooperative source analysis of nitrogen and phosphorus pollutants is achieved.

The invention provides a civil aircraft safety perception method and system based on virtual flight, and relates to the technical field of aircraft safety perception. A dynamic and hierarchical three-dimensional wind shear field model is constructed through space-time alignment and fusion of multi-source meteorological data; deep coupling of wind disturbance and aircraft dynamic response is realized based on a small disturbance theory and a flight dynamics model; continuous and dynamic quantification of risks is realized by combining and analyzing flight parameters and a safety threshold value dynamically adjusted based on wind disturbance intensity and utilizing multi-parameter risk level weighted integration; according to the method, the risk coefficient is coupled with the three-dimensional terrain and the virtual flight trajectory, hierarchical color mapping is adopted to carry out visual space visualization, and a complete closed loop from environment modeling to risk early warning is formed, so that the identification accuracy and timeliness of the flight risk in the wind shear environment are greatly improved, and the scientificity and practicability of security situation awareness are enhanced.

A combined rock mass strength prediction and floor strength mapping method based on a PCA-KAN fusion neural network comprises the following steps: preparing combined rock mass test pieces with different layer sequences, thickness ratios and interface states, and obtaining multi-dimensional mechanical parameters through a compression mechanical test; carrying out dimension reduction processing by adopting a principal component analysis method, constructing a comprehensive strength index according to a principal component load coefficient, and forming a dimension reduction feature vector; constructing an Attn-KAN model, and adjusting hyper-parameters by adopting a Bayesian optimization algorithm; the performance and interpretability of the model are ensured through layered K-fold cross validation and SHAP analysis; the method comprises the following steps: carrying out a compression mechanical test on a field rock core sample to obtain multi-dimensional mechanical parameters, carrying out dimension reduction processing by adopting a principal component analysis method, and predicting by taking a principal component feature vector as input data to obtain a comprehensive strength predicted value; and adopting a Kriging interpolation method to output an intensity distribution and risk grade partition map. According to the method, accurate prediction of the strength of the combined rock mass can be realized, and spatial visual mapping of the strength of the coal seam floor and the risk level can be realized.

We provide the system. [Solution] A means for receiving requests in natural language from users and performing semantic analysis on those requests, A means for searching a spatial information database based on generated search conditions and generating search results, A means for transmitting the aforementioned search results to the user's terminal, suggesting them in a visually displayable format, and making them interactively operable, A means of guiding users to their destination using visualized spatial information based on their choices, A system that includes this.

The invention belongs to the technical field of cultural relic protection and building information models, and discloses an ancient city wall daily management and disease management and control system and method based on BIM scene construction. An existing disease management and control system has the problems that the urban wall occurrence environment and the repair history are difficult to comprehensively consider, and multi-disease collaborative analysis is lacked. According to the method, non-structural nodes are introduced, environmental factors such as a drainage system, vegetation coverage, underground facilities and an internal space are incorporated into a city wall management system, and collaborative expression of a city wall structure and an occurrence environment is realized on the basis of structural partitioning. According to the system, urban wall block numbers serve as a unified index, monitoring data, disease information and repair records are fused, spatial visualization and information linkage are achieved based on a BIM scene, meanwhile, a threshold value management mechanism is set, when state parameters of non-structural nodes reach a threshold value, a corresponding maintenance protection scheme is triggered, and the maintenance and protection efficiency is improved. And urban wall information management, disease dynamic monitoring and scientific repair decision making are realized.

Disclosed here are methods, systems, and apparatuses for optimizing in-building network coverage through aggregation of usage data, network data, and other performance metrics and geospatial analysis employed to map network coverage data onto a geographic grid, facilitating spatial visualization of performance. The network coverage data is mapped to the buildings data to create a spatial visualization. A model is then applied to the network coverage data and the spatial visualization to identify buildings with a network coverage score below a threshold, and an appropriate action is performed based on the identification.

The invention discloses a coastal zone nitrogen and phosphorus reduction effect evaluation method, which comprises the following steps: acquiring multispectral image data and a digital surface model, and acquiring actual gradient, altitude and long-term hydrological dynamic data through ground actual measurement, sampling and investigation; extracting core parameters, correcting a digital surface model by utilizing ground actual measurement altitude data, constructing a target coastal zone precise digital elevation model, determining a gradient and dividing a gradient interval, and identifying a target coastal zone type and a planting / slope protection combined structure by combining multispectral image data, ground survey data and the digital surface model; obtaining a nitrogen and phosphorus reduction reference value according to the core parameters, extracting a rainfall intensity correction coefficient and a water level amplitude correction coefficient in combination with hydrological dynamic data, and calculating a final nitrogen and phosphorus reduction proportion; and spatial visualization is carried out, so that efficient, accurate and standardized evaluation of the nitrogen and phosphorus reduction effect of the coastal zone is realized, and a scientific basis is provided for design, optimization and effect inspection of ecological restoration engineering of the coastal zone.

The invention provides a city physical examination method and system based on city updating, and relates to the technical field of city physical examination, and the method comprises the steps: inputting the index system information of city physical examination; preprocessing the index system information to obtain an index attribute list of urban physical examination; converting the index attribute list into a structured problem list, performing spatial visualization on the problem list to obtain a problem spatial distribution map, and performing key update unit identification on the problem spatial distribution map to obtain key update units; constructing a renovation suggestion knowledge base bound with the key updating unit, and generating a renovation suggestion data packet based on the renovation suggestion knowledge base and the structured question list; and generating a city update decision project library based on the renovation suggestion data packet. According to the method, the problem that urban physical examination and updating actions are disjointed in space connection, knowledge association and closed loop implementation is effectively solved, and accurate conversion and closed loop management from physical examination results to updating items are achieved.

The invention discloses a carbonate rock distribution area soil heavy metal traceability method, and belongs to the technical field of soil heavy metal traceability, and the method comprises the following steps: (1) geological background analysis: constructing a regional association type geological background reference; (2) soil sample collection and chemical analysis: providing basic data for traceability work; (3) chemical fingerprint feature extraction: constructing a form-isotope two-dimensional fingerprint, and improving the source distinguishing precision; and (4) spatial distribution modeling and traceability: multi-dimensional data collaborative analysis is carried out, and accurate traceability is realized in combination with spatial visualization. On the basis of the geological background, the natural source reference is defined; establishing a characteristic system database by taking chemical fingerprint data as a core; the receptor model parameters are optimized, and the distinguishing ability of a natural source and an artificial source is enhanced; and the spatial distribution data is used as a carrier to verify the source spatial relevance, so that the traceability precision is effectively improved finally.

The application discloses a rapeseed moisture tolerance evaluation method and system based on multi-source data fusion, relates to the field of agricultural information technology, and synchronously acquires airspace remote sensing images, ground environment monitoring data and crop phenotype physiological indexes in the system operation; time and space alignment and feature extraction are carried out; a dynamic evaluation model based on deep learning is constructed, multi-dimensional features are fused to generate a whole growth period moisture tolerance evaluation index; and moisture tolerance grades are divided according to the index, and spatial visualization results and disaster loss suggestions are output. The system comprises data acquisition, preprocessing, core evaluation and result display modules, and integrates an expert decision support unit to realize closed-loop management. Through deep fusion of multi-source heterogeneous data and intelligent modeling, the application realizes real-time, quantitative and non-destructive accurate evaluation of rapeseed moisture tolerance, and significantly improves evaluation efficiency, accuracy and cross-region applicability.

This invention discloses a method, system, and storage medium for identifying the surface wind pressure aerodynamic derivative that quantifies the contribution of aerodynamic instability to geometric shapes. The method includes: simultaneously acquiring the surface wind pressure time history and vibration displacement time history of the structural cross-section; processing the displacement signal to obtain the vibration frequency, amplitude, and phase difference; processing the wind pressure signal to obtain the wind pressure coefficient amplitude and phase difference at each measuring point; based on the theory of self-excited aerodynamics, establishing an explicit analytical formula through harmonic coefficient matching, and calculating the surface wind pressure aerodynamic derivative at each measuring point; analyzing the aerodynamic derivative at each measuring point, evaluating the contribution of each surface region to the overall aerodynamic derivative, and identifying key aerodynamic regions that excite or suppress self-excited vibrations. This invention degrades traditional macroscopic aerodynamic derivatives to spatial micro-elements, establishing a spatial mapping analytical closed chain between local wind pressure and aerodynamic derivatives, realizing spatial visualization and quantitative traceability of aerodynamic stability contributions, and providing a direct basis for targeted optimization of wind resistance for complex cross-sectional structures.

The application provides an intelligent analysis platform for risk assessment of wild bird flu virus recombination, relates to the technical field of influenza virus monitoring and risk assessment, and comprises a multi-source monitoring data acquisition module, a data preprocessing module, a virus sequence intelligent analysis module, a recombination risk assessment module, a spatial situation analysis and visualization module and a report generation and early warning module connected in sequence through an API interface. The intelligent analysis platform for risk assessment of wild bird flu virus recombination can realize multi-source monitoring data acquisition, virus sequence intelligent analysis, recombination risk quantitative assessment and spatial visualization early warning, and provides whole-process technical support for influenza virus recombination prevention and control.

The application provides a power grid geographic data intelligent analysis system for distribution network, which comprises a data source layer, a data management layer, a service support layer and an application display layer, wherein: the data source layer is used for collecting distribution network related data from multiple business systems and performing standardization processing; the data management layer is used for comparing data, identifying inconsistent items and generating a problem list; the data management layer converts the problem list into traceable work orders; the service support layer is used for unified modeling, relationship matching and service packaging of distribution network secondary equipment; and the application display layer is used for visual display. The system of the application realizes: significant improvement of data quality; substantial improvement of management efficiency; comprehensive enhancement of early warning capability, realization of early perception of index abnormality; effective expansion of management range, integration of secondary equipment into a unified view; more accurate decision support, and spatial visualization assisting resource optimization configuration.

The invention discloses a BIM-combined process design optimization platform and method, and relates to the technical field of data processing, and the platform comprises a model creation module which is used for obtaining a structure design general plan and a design specification standard, and building a professional BIM model set; the collision detection module is used for integrating the three-dimensional model to carry out collision detection to obtain space structure collision parameters; the optimization analysis module is used for constructing a process design optimization parameter space based on the collision parameters; and the visual plotting module is used for carrying out global optimization in the parameter space and mapping an optimization result to the three-dimensional model to realize updating and visual plotting. The technical problem that the design consistency and reliability are insufficient due to the fact that space conflicts are difficult to find in time in the multi-specialty collaborative design process in the prior art is solved, and the technical effects that by combining a parameterized optimization mechanism of the BIM technology, the space conflicts are found in time and globally optimized, and the design consistency and reliability are improved are achieved.

The present application relates to the field of geotechnical engineering and computer image processing technology, and particularly relates to a residual soil structure weakening area identification method based on CT images. The method comprises the following steps: constructing a distance field map for the residual soil CT image; segmenting independent particle objects based on the distance field map, and establishing a particle instance index map; identifying a contact connection area based on the particle instance index map; extracting the effective neck width of the contact connection area according to the distance field map, and correlatively calculating the equivalent geometric diameters of the particle objects on both sides of the contact connection area to construct a contact feature data set; and calculating the area contact bottleneck coefficient of the contact connection area based on the contact feature data set. The present application quantifies the geometric bottleneck features of the particle connection and analyzes the local topological stability, realizes the quantitative identification and spatial visual positioning of the weak areas in the internal structure of the residual soil, and effectively identifies the particle connection structure which is geometrically connected but mechanically unstable.

Embodiments of the present application provide a real-time population distribution-based emergency shelter availability assessment method and system. The method comprises: obtaining real-time population spatial distribution data of a city; establishing an emergency shelter simulation space network based on city roads; calculating the real-time per capita emergency shelter area of each regular grid at a specific time without considering the disaster scenario; establishing a city emergency shelter simulation space network under different intensity disaster scenarios; recalculating the real-time per capita emergency shelter area of each regular grid under different intensity disaster scenarios; determining whether the real-time per capita emergency shelter area of each regular grid at a specific time under a specific disaster intensity reaches the planning set target, and performing spatial visualization expression. In this way, the real-time availability level of the emergency shelter can be accurately determined based on the population spatio-temporal distribution characteristics, the weak links and vulnerable areas can be quickly identified, and technical support can be provided for planning compilation and monitoring and early warning.

The invention provides a GIS (Geographic Information System)-based organic pollutant concentration boundary simulation method. The method comprises the following steps: acquiring multi-source data and preprocessing the multi-source data; constructing a multi-model fused GIS space simulation system and simulating concentration distribution of organic pollutants in soil, water and atmosphere; and analyzing the simulation result and generating a static map. According to the method, by coupling the EFDC hydrodynamic model, the CALPUFF atmospheric diffusion model and the Kriging interpolation model, the migration and diffusion characteristics of organic pollutants in multiple media of water, atmosphere and soil can be comprehensively reflected; according to multi-source data of geography, environment monitoring, weather and pollution sources, model parameters are optimized through a machine learning algorithm, and it is ensured that R of a simulation result is larger than or equal to 0.85, and the spatial resolution is not lower than 1 km; according to the invention, the spatial visualization of the simulation result is realized based on the GIS platform, the concentration thermodynamic diagram and the contour boundary are generated, and the concentration distribution of new pollutants is visually presented.

The invention discloses an invoice data extraction and culture space visualization method based on deep learning optimization. The method comprises the following steps: firstly, performing Gaussian filtering denoising, histogram equalization enhancement and adaptive threshold binarization preprocessing on an invoice image, and constructing a CNN model to extract key data such as invoice date, amount and supplier information; meanwhile, cultural space data are collected through a web crawler and a GIS technology, a visual image of the cultural space is generated by adopting a GAN model, and the interactive functions of zooming, rotating, querying and layer switching are supported. By establishing a mapping relation between cultural consumption invoice data and cultural space elements, distribution information such as consumption amount and frequency is displayed in a visual image in an overlapping manner. According to the method, the association rule of culture consumption and culture space can be analyzed, data support is provided for culture research, tourism planning and commercial layout, and dynamic maintenance of visual results is realized through regular updating.

This invention discloses a method and system for identifying and assessing soil heavy metal pollution sources based on machine learning. The method constructs a feature dataset by collecting data on heavy metal element content and spatial environmental attributes of soil in a target area; it decomposes the input matrix using multivariate analysis and k-means clustering to obtain a source spectrum matrix and a source contribution matrix, thus identifying pollution sources and analyzing their contributions; further, it establishes a background contribution model by combining conservative elements and time series information to extract the background contribution value of each pollution source within the target time period; it calculates single-factor and comprehensive risk indices based on pollution source reconstruction and background correction, and generates soil heavy metal pollution risk level information by combining dynamic risk grading thresholds; finally, it generates a soil heavy metal pollution risk distribution map of the target area through spatial interpolation and zoning processing, simultaneously achieving quantitative analysis of pollution sources, background value correction, risk index calculation, and spatial visualization.

The present application relates to the technical field of irrigation prescription map data fusion, and particularly relates to an irrigation prescription map data fusion method and system based on multi-source data. The method comprises the following steps: obtaining multi-source data of a target area, preprocessing the multi-source data, and generating a standard grid data set; performing feature extraction and normalization processing on the standard grid data set to generate a plurality of sets of normalized feature data; performing weighted fusion calculation on the plurality of sets of normalized feature data using a preset weight to generate comprehensive characteristic value data; mapping the comprehensive characteristic value data to irrigation decision levels and performing spatial visualization expression to generate an irrigation prescription map; the present application provides precise irrigation operation through irrigation prescription map data fusion processing, realizes complete conversion of irrigation decision from data calculation to spatial expression, and makes irrigation decision have a clear spatial position and level distinction.

Systems, methods, and computer-readable media for generating a virtual event space visualization for media consumption in a hybrid 2D / 3D manner may involve at least one processor configured to: receive virtual event space data including definition of a virtual display object associated with a virtual presentation location; render an event space based on the virtual event space data including an avatar; when the avatar is positioned at a location distinct from the virtual presentation location, render portions of the event space in a first viewing state displaying the event space from an isometric view; upon receiving a trigger for impending interaction with the virtual display object, switch to a second viewing state, displaying the virtual display object from a non-isometric, object-focused view; maintain the object-focused view while the avatar interacts with the virtual display object; upon receiving a reversion signal revert the second viewing state to the first viewing state.

The invention relates to the field of ecological environment risk assessment, in particular to a regional ecological restoration engineering risk early warning system and method based on a DPSIR model. The method comprises the following steps: firstly, dividing grids, and carrying out standardization processing on obtained driving force index data and pressure index data of the grids to obtain a driving force standardization value and a pressure standardization value; based on the driving force standardized value, a dynamic driving force index is obtained through a spatial one-way infectious driving force dynamic index algorithm; then, on the basis of the dynamic driving force index, the pressure standardization value and the obtained historical state value, a state value is obtained through a pressure-state transmission algorithm; calculating a risk index of the grid based on the state value, and determining a risk level of the grid; and finally, performing spatial visualization rendering on the risk level, and outputting a risk map layer. The technical problems that ecological risk assessment is static, historical state memory and tolerance threshold change of an ecological system are neglected, and complex cross influence is not modeled are solved.

This invention relates to a system and method for evaluating the quality grade of naturally selenium-rich land. The system includes: a data acquisition and analysis module for acquiring multi-source data of the area to be evaluated; a selenium-rich land discrimination module for determining whether land is naturally selenium-rich based on total selenium content and soil pH value; a comprehensive evaluation index module for constructing a comprehensive evaluation index system; a weight determination module for calculating the weight of each evaluation index in the comprehensive evaluation index system; a quality grade calculation module for calculating the membership degree of evaluation indicators at each index layer in the comprehensive evaluation index module; a grade division module for calculating the comprehensive quality index of each evaluation unit using an additive method; and a visualization module for integrating the evaluation thematic map with the geographic base map to obtain a quality grade evaluation map. This invention enables quantitative model calculation and spatial visualization representation of the quality grade of naturally selenium-rich land.

The invention provides a stockpiling plan making method and system based on space visualization, which are applied to the technical field of port stockpiling scheduling, and by constructing a multi-level visual interaction environment corresponding to a stockpiling physical space, the stockpiling plan making method and system fuse the stockpiling space, container attributes and stockpiling rules into the same graphical interaction environment. A traditional plan making process depending on text and experience is converted into a process that a user visually generates a stockpiling plan through graphic operations such as area delimiting and plan group associating, the stockpiling plan is automatically checked based on a preset stockpiling rule, and accurate visual feedback is provided for found abnormal states and positions. According to the method, a user can directly carry out graphical adjustment and calibration in the same visual space based on visual feedback, so that conversion from static table operation to dynamic, closed-loop and visual interactive decision making is realized, and the intuition, efficiency and complex environment adaptability of plan making are remarkably improved.

The invention discloses a heavy metal pollution risk grading evaluation method for a black metal mining area, and belongs to the technical field of environmental protection. The method is based on a source-approach-receptor risk evaluation theoretical model, an evaluation index system comprising three criterion layers of risk source danger, diffusion migration ability and sensitive receptor vulnerability is constructed, index weights are determined by combining an analytic hierarchy process and expert consultation, and environmental risk values of evaluation units are calculated through a comprehensive risk index model. And a natural breakpoint method is utilized to divide the mining area into a low-risk area, a general-risk area, a high-risk area and an extremely-high-risk area, and finally, an environment risk partition map is generated by means of ArcGIS. According to the invention, systematic quantification and spatial visualization of heavy metal pollution risks are realized, high-risk areas can be accurately identified, and scientific basis and decision support are provided for mining area environmental risk hierarchical management and control and ecological restoration.

The application discloses a kind of railway tunnel construction influence analysis methods of city underground water, belong to railway tunnel construction field, comprising the following steps: S1, multi-source data acquisition and pretreatment;S2, construct geology-hydrology-construction-remote sensing multidimensional feature vector, and extract groundwater disturbance index;S3, establish stress-seepage-heat conduction three-field coupling model;S4, based on three-field coupling model analysis three-field coupling effect, and output the comprehensive risk grade of tunnel construction influence on groundwater;S5, utilize GIS spatial analysis function fusion comprehensive risk grade, combined with real-time data realizes groundwater influence spatial visualization and hierarchical early warning;S6, real-time update the geological parameters of three-field coupling model, and search optimal construction parameter combination.The above-mentioned railway tunnel construction influence analysis methods of city underground water, significantly improve the scientificity and engineering practicability of railway tunnel construction influence analysis of city underground water.

Endonuclease V Immunostaining Assay (EndoVIA) is provided herein as the first approach for quantifying and visualizing the landscape of Adenosine-to-Inosine (A-to-I) edited RNAs in situ. EndoVIA provides rapid quantification of overall inosine abundance and allows cell-to-cell comparison of A-to-I editing levels without the need for RNA sequencing. EndoVIA contributes valuable new insights into the dynamic interplay between A-to-I editing and subcellular localization that are undetectable with currently available approaches.

This invention discloses a method for tracing the source of heavy metals in soil in carbonate rock distribution areas, belonging to the field of soil heavy metal tracing technology. It includes the following steps: (1) Geological background analysis: constructing a regionally correlated geological baseline; (2) Soil sample collection and chemical analysis: providing basic data for tracing work; (3) Chemical fingerprint feature extraction: constructing a "morphology-isotope" dual-dimensional fingerprint to improve the accuracy of source differentiation; (4) Spatial distribution modeling and tracing: multi-dimensional data collaborative analysis, combined with spatial visualization to achieve accurate tracing. This invention is based on geological background to clarify the natural source baseline; uses chemical fingerprint data as the core to establish a feature system database; optimizes receptor model parameters to enhance the ability to distinguish between natural and anthropogenic sources; and uses spatial distribution data as a carrier to verify the spatial correlation of sources, ultimately effectively improving the accuracy of tracing.

An object of a system according to an embodiment is to visually grasp a reaction of a participant in a remote work era and eliminate a sense of loneliness.SOLUTION: A system according to an embodiment includes an analysis unit, a creation unit, and a visualization unit. The analysis unit analyzes the speaking voice of the participant and the content of the speech. The creator creates a conference space on the Metaverse on the basis of the content analyzed by the analyzer. The visualizer visualizes the reaction of the participant.SELECTED DRAWING: Figure 1