77 results about "Spatial Visualization" patented technology

The invention discloses a new quality productivity space analysis method based on machine learning, relates to the technical field of urban planning, and constructs a new quality productivity space index system, constructs a plurality of machine learning models for optimization, and provides a new quality productivity space analysis method based on machine learning. A machine learning model with the best prediction and generalization effect is selected to analyze the influence of each element on the new quality productivity space, an SHAP model is used for explaining and analyzing, and an SHAP value explaining mechanism for calculating the marginal contribution degree of each feature based on the Shapley value theory is introduced; the contribution degree of key indexes such as enterprise facility density and night light intensity to new quality productivity space distribution is quantitatively analyzed, and collaborative optimization of a machine learning model in prediction precision and interpretability is achieved; and in combination with spatial visualization analysis, a priority intervention basis is provided for urban planning, and finally, accurate quantitative analysis of a nonlinear effect and an element interaction effect is realized.

The invention discloses a method for analyzing the influence of railway tunnel construction on urban underground water, which belongs to the field of railway tunnel construction and comprises the following steps: S1, acquiring and preprocessing multi-source data; s2, constructing a geology-hydrology-construction-remote sensing multi-dimensional feature vector, and extracting an underground water disturbance index; s3, establishing a stress-seepage-heat conduction three-field coupling model; s4, analyzing a three-field coupling effect based on the three-field coupling model, and outputting a comprehensive risk level of the influence of tunnel construction on underground water; s5, fusing a comprehensive risk level by utilizing a GIS spatial analysis function, and combining real-time data to realize spatial visualization and graded early warning of underground water influence; and S6, geological parameters of the three-field coupling model are updated in real time, and an optimal construction parameter combination is searched. By adopting the method for analyzing the influence of the railway tunnel construction on the urban underground water, the scientificity and engineering practicability of analyzing the influence of the railway tunnel construction on the urban underground water are remarkably improved.

The invention discloses a terrain and time sequence-based power transmission line icing risk prediction method, system and device, and a medium. The prediction method comprises the following steps: acquiring meteorological elements, topographic features and time sequence features, unifying the meteorological elements, the topographic features and the time sequence features to the same time step length and geographic coordinate grid, and performing topographic correction on the meteorological elements according to the topographic features; constructing and optimizing an icing risk prediction model based on the meteorological elements after terrain correction and the time sequence features as input; inputting real-time weather forecast data into the optimized icing risk prediction model, dividing icing risk grades according to model output, and performing spatial visualization and early warning through a GIS platform; and quantizing the contribution of each element to a prediction result, optimizing model parameters and a feature extraction method, and carrying out interpretable driven model iteration. According to the invention, refined prediction and dynamic early warning of the icing risk are realized, accurate operation and maintenance of a power system are effectively supported, and the icing disaster risk is reduced.

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 discloses a method for evaluating, depicting and dynamically monitoring the ecological self-purification capacity of a site, which comprises the following steps of: primarily screening indexes for evaluating, depicting and dynamically monitoring the ecological self-purification capacity of the site, determining a core ecological self-purification index and determining a weight; defining a pollution core area, a transition area and a background area; the terrain deviation is corrected, the threshold value is dynamically adjusted in combination with seasonal monitoring data, and high-precision demarcation of the ecological boundary is achieved; site investigation is carried out, and historical data of each pollution index is collected; determining a relationship between the evaluation index and the ecological self-cleaning capability, constructing a comprehensive evaluation model of the ecological self-cleaning capability of the site, and calculating a main component and an ecological self-cleaning capability score; according to the principal component score and the ecological self-cleaning ability score, drawing a single-index thermodynamic diagram and a comprehensive self-cleaning ability thermodynamic diagram, and realizing GIS space visualization ecological analysis; and performing dynamic detection and model optimization verification. According to the method, spatial description and optimization of the ecological self-purification capacity are achieved, and precise treatment and enhanced treatment of a polluted site are facilitated.

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.

The invention discloses a BIM-based water conservancy project digital management method, and relates to the technical field of water conservancy project digitization, and the method comprises the steps: calculating a task offset ratio Gap of each task, and generating a construction period offset mapping set Map with a three-dimensional expression capability through the combination of spatial position information; by means of the set, the progress lag information does not stay on table and text levels any more, but is directly and visually presented in the BIM model. Therefore, lag and overrun key tasks can be automatically screened out, the lag and overrun key tasks are incorporated into a key offset task set Key, a corresponding offset layer View is generated, spatial visual labeling of progress exception tasks is achieved, the technical bottlenecks that in the prior art, task lag information is difficult to visually present, and managers are difficult to find key problem areas in time are effectively solved, and the progress exception tasks can be visually labeled. And a visual expression mechanism of progress offset is established in a BIM three-dimensional space, so that the perceptibility of progress risk and the timeliness of scheduling response are effectively enhanced.

The invention discloses a visual experiment device and method for evaluating a screen pipe gravel filling sand prevention technology, and belongs to the technical field of oil and gas exploitation. The upper portion of the inner side of the visual model box is in sliding fit with a top screen in the vertical direction, and a loading part is arranged at the top of the visual model box. A bottom screen is arranged at the lower part of the inner side of the visual model box; a filtering simulation space for placing gravels is formed in the inner space of the visual model box between the top screen and the bottom screen; the visual model box is connected with the injection system; and a sand collecting pipe is arranged at the lower part of the bottom screen in the visual model box. The device can simulate the sand production condition when the gravity direction of the sand in the bottom hole stratum is the same as the flowing direction of the fluid and the invasion process of the stratum sand to the gravel layer, and can be used for evaluating and determining the optimal particle size range of the sand prevention gravel; and a research experiment for evaluating the filling sand prevention effect of the selected gravel particle size range under various variables such as production flow rate and sand-carrying concentration can also be carried out.

The invention discloses an HPC curtain wall installation safety protection intelligent monitoring system, and relates to the technical field of intelligent monitoring, and the system comprises a risk rehearsal module which constructs a digital neural rehearsal model, compares installation attitude data with historical accident features through a reinforcement learning algorithm, generates a safety risk thermodynamic diagram, and sends the safety risk thermodynamic diagram to an intelligent monitoring module; performing spatial superposition on the safety risk thermodynamic diagram and a preset installation scene to generate a safety risk index; the risk early warning module is used for generating an instruction type after the voice instruction signal is subjected to natural language analysis, performing contradiction value calculation on the instruction type and a safety risk index, and activating a risk protection protocol of a digital neural rehearsal model and sending out an alarm signal when the contradiction value exceeds a preset safety threshold value; and the communication module transmits the alarm signal and the safety risk index to a remote monitoring terminal. According to the invention, through dynamic visual presentation of the digital nerve rehearsal model and the security risk thermodynamic diagram, intelligent quantitative analysis and spatial visual expression of the security risk are realized.

The invention discloses a rail emergency early warning method and device, a storage medium and computer equipment. The method comprises the following steps: constructing a dynamic knowledge graph based on historical operation and maintenance data of a track; identifying a real-time operation event of the track to obtain event entities, and event semantic relationships and event time attributes among the event entities; according to the event entity, the event semantic relationship and the event time attribute, identifying a causal path of the real-time operation event in the dynamic knowledge graph; calculating the probability of occurrence of a causal path; if the occurrence probability is greater than a preset threshold value, determining the real-time operation event as an emergency; and according to the operation reasoning result in the causal path, early warning information of an emergency is determined, and the early warning information is displayed in the whole-station line building information model of the track. According to the invention, through the dynamic knowledge graph and the building information model, real-time judgment and spatial visual early warning of the track operation risk are realized, and the reliability of track operation and maintenance is improved.

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.

This invention discloses a method for constructing a comprehensive transportation infrastructure spatial database based on multi-source data, including the following steps: S1, collecting data on three types of transportation infrastructure: highway, water transport, and aviation; S2, establishing a data dictionary and metadata standards based on specifications, and formulating a database partitioning strategy and interface specifications; S3, standardizing attribute data, satellite image data, and spatial vector data; S4, formulating a spatial data sharding strategy based on geographic regions, building a full-text index and spatial index system, and optimizing storage and query; S5, using MySQL, PostGIS, MongoDB, ElasticSearch, and K-V storage for collaborative management; S6, designing expansion mechanisms at the storage, retrieval, and computing layers; and S7, establishing a unified retrieval platform based on the database, integrating raster and vector data, and supporting spatial visualization and semantic retrieval. This invention enhances the ability to integrate, retrieve, and expand transportation infrastructure data, and is suitable for the construction of a comprehensive transportation information platform.

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 invention relates to the technical field of ecology and agronomy, in particular to a multi-environmental-factor coupled mosquito grass ecological adaptability prediction system and method, and the system comprises a data acquisition module, a data processing module, a coupling analysis modeling module, a dynamic prediction module and a space visualization module. Compared with the prior art in which a single environmental factor independent evaluation scheme is mainly adopted, serious limitation exists, complex interaction among various environmental factors cannot be accurately reflected, and an evaluation result often deviates from the actual situation, the method adopts a multi-factor dynamic coupling analysis scheme, and the evaluation result is more accurate. By comprehensively quantifying the weights and interaction effects of multi-dimensional environmental factors such as temperature, humidity, illumination and soil characteristics, an evaluation system comprehensively reflecting the comprehensive influence of the environment is established, the integrity and accuracy of ecological adaptability evaluation are remarkably improved, and a more scientific and reliable basis is provided for ecological system management.

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 invention relates to the technical field of soil evaluation, and provides a soil quality evaluation method and device under multipoint sampling and a medium, and the method comprises the steps: obtaining multi-source information of a target area, and constructing a multistage sampling point heat map; soil collection is carried out, and the boundary of soil layer division is dynamically adjusted; constructing a function dependence model of soil structure layering; calculating the function adaptation degree of each sampling point; constructing a functional heterogeneity map containing the soil management level in the target area; and carrying out spatial visualization processing on the functional adaptation degree and the functional heterogeneous map. According to the method, the sampling optimization model is introduced, a plurality of sampling levels are automatically generated according to the spatial distribution of the abrupt change area, the comprehensive variation index and the use requirement, the balance between the evaluation precision and the operation condition is realized, and the scientificity and the adaptability of the sampling scheme are effectively improved.

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.