Multimedia visual display method based on geographic information and industrial data fusion
By acquiring and preprocessing geographic information and industry data, establishing a multi-layered data fusion model and building a visualization engine, the problems of high data dispersion, low visualization, lagging updates, and poor interactivity in investment promotion have been solved. This has enabled deep integration and dynamic visualization of geographic information and industry data, improving the efficiency of investment promotion decision-making and user experience.
Patent Information
- Application Number
- CN202510904363.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-01
- Publication Date
- 2025-10-31
AI Technical Summary
In existing technologies, the processes of investment promotion and industrial cluster management suffer from problems such as high data dispersion, low visualization, delayed updates, and poor interactivity. They also lack intelligent decision-making support functions and cannot achieve deep integration and dynamic visualization of geographic information and industrial data.
By acquiring and preprocessing geographic information and industry data, a multi-layered data fusion model is established, a visualization engine is built, interactive functions are designed, and a data update mechanism is established to achieve deep integration and dynamic visualization of geographic information and industry data.
It improved the efficiency of investment promotion decision-making, enhanced interactivity and user experience, realized the spatial presentation of industry chain information, improved the convenience and timeliness of data analysis, and ensured data security.
Smart Images

Figure CN120873073A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of visualization technology, and in particular to a multimedia visualization method based on the fusion of geographic information and industry data. Background Technology
[0002] In the current process of attracting investment and managing industrial clusters, decision-makers need to have real-time access to key factors such as the distribution of upstream and downstream enterprises in the regional industrial chain, industry concentration, and logistics support capabilities. However, existing technologies suffer from the following problems: high data dispersion: related enterprises in the industrial chain are widely distributed across the country, lacking a unified data integration mechanism; low visualization: traditional investment attraction systems struggle to present multi-dimensional data such as enterprise location, industry attributes, and production capacity in a graphical and intuitive way; lagging updates: maps or charts are updated infrequently, failing to reflect dynamic changes such as enterprise migration and expansion in a timely manner; poor interactivity: users cannot perform in-depth queries, filtering, and linked analysis through a visual interface; and lack of intelligent decision-making support functions: they cannot automatically recommend key investment areas or potential partners based on geographical and industrial data.
[0003] Therefore, there is an urgent need for a method that can achieve deep integration of geographic information and industrial data, dynamic visualization, support for interactive operation and decision-making assistance, so as to improve the efficiency of investment promotion and the level of scientific decision-making. Summary of the Invention
[0004] The purpose of this invention is to provide a multimedia visualization method based on the fusion of geographic information and industry data, which solves the problems of high dispersion, low visualization, lagging updates, and poor interactivity in traditional investment promotion methods.
[0005] This invention provides a multimedia visualization method based on the fusion of geographic information and industry data, including:
[0006] The system acquires the enterprise's geographic information data and industry data, and preprocesses the geographic information data and industry data. The industry data includes industry static data, industry dynamic data, and industry-defined data.
[0007] Based on the preprocessed geographic information data and industry data, the correlation between geographic information data and industry data is established, and a multi-layer data fusion model is constructed.
[0008] Build a visualization engine to generate visual display scenarios based on preprocessed geographic information data, and design visualization elements for industry data;
[0009] Establish user interaction and data-driven analysis functions, allowing users to interact with visual scenarios through mouse operations and perform data analysis;
[0010] Establish a data update mechanism to maintain and optimize the system.
[0011] Preferably, the geographic information data includes: administrative divisions, transportation networks, and industrial park boundaries;
[0012] The industry solid data includes: enterprise registration information, industry type, output value, and contact information;
[0013] The industry dynamics data includes: resource consumption data, market transaction data, and new investment data;
[0014] The industry-defined data includes: historical strategic plans and historical strategic achievements.
[0015] Preferably, the geographic information data and industry data are preprocessed, including:
[0016] The geographic information data and industry data are cleaned, standardized, and missing value processed.
[0017] The address resolution engine is used to transform geographic information data, converting text addresses into latitude and longitude coordinates.
[0018] Preferably, the multi-layer data fusion model includes:
[0019] The spatial layer includes: the company's geographical location, the scope of the company park, and transportation routes;
[0020] The attribute layer includes: the industry to which the enterprise belongs, annual output value, number of employees, establishment time, and whether it is a high-tech enterprise;
[0021] Status layer includes: whether it is active, whether it has an intention to expand, and whether it has a record of business contact.
[0022] The relationship layer includes: the supply chain relationship map between upstream and downstream related enterprises.
[0023] Preferably, a visualization engine is constructed to generate a visual display scene based on preprocessed geographic information data, and visualization elements for industry data are designed, including: constructing a visualization engine using WebGL;
[0024] A two-dimensional geographic map is generated based on preprocessed geographic information data as a visualization display scenario. The two-dimensional geographic map includes terrain rendering, map annotation, and layer control functions.
[0025] Based on the type of preprocessed industry data, select visualization charts and symbols to design visualization elements for the industry data.
[0026] Preferably, the visualization elements include:
[0027] A point-based heatmap is used to show the density of companies within a specific industry in different regions.
[0028] A bar chart is used to compare the output value of a specific industry in different regions.
[0029] Clustering tags are used to group multiple companies within a certain radius into an aggregate icon, which expands when clicked.
[0030] Industry-specific hierarchical layers are used to switch between and view the distribution of different industries;
[0031] Dynamic flow arrows are used to display the flow of funds between upstream and downstream enterprises.
[0032] Preferably, user interaction and data-driven analysis functions are established, allowing users to interact with visual scenarios through mouse operations and perform data analysis, including:
[0033] Users interact with the visual scene through mouse operations, specifically:
[0034] Click on a specific point to obtain detailed data and related information;
[0035] View the data distribution and characteristics at different scales by panning and zooming;
[0036] View the company's trends over time by dragging the timeline;
[0037] By querying and filtering, users can select specific industry types, geographical ranges, or time intervals for data display.
[0038] The data analysis includes: data statistics, trend analysis, and spatial analysis.
[0039] Preferably, a user interaction and data linkage analysis function is established, including: when a user selects a certain area on a two-dimensional geographic map, the right side automatically refreshes and displays the industry composition and enterprise size distribution of the corresponding area.
[0040] Preferably, a data update mechanism is established for system maintenance and optimization, including:
[0041] Regularly call third-party APIs to obtain the latest data, including the latest geographic information data and the latest industry data;
[0042] The visualization is updated automatically or manually based on the latest data.
[0043] The replacement process includes both incremental updates and full updates;
[0044] The incremental update is used to update the data that has changed.
[0045] The full update refers to updating all data once a day.
[0046] Preferably, the method further includes: constructing an access control and data security mechanism;
[0047] Specifically, this involves setting up multi-level user permissions and encrypting the data to be transmitted using HTTPS.
[0048] User permissions include: administrators, who can edit data and configure map styles;
[0049] Analysts are used to view all data and export charts;
[0050] Visitors are allowed to browse the map but are not permitted to interact with it.
[0051] Compared with the prior art, the beneficial effects of the present invention are that it realizes the spatial presentation of industrial chain information, improves the efficiency of investment promotion decision-making, and enhances interactivity and user experience.
[0052] This invention visualizes the spatial distribution of upstream and downstream enterprises in the national industrial chain by binding enterprise information with geographic coordinates, helping users intuitively understand industrial clusters and untapped areas. Through functions such as heat maps, cluster maps, and industry layers, it assists investment promotion personnel in identifying target areas and key enterprises, improving the targeting and accuracy of investment attraction efforts. Users can interact with the map through clicking, dragging, and selecting boxes to achieve advanced functions such as data linkage, chart generation, and information comparison, enhancing ease of use and analytical depth. Automatic data updates are achieved through API interfaces, ensuring the timeliness of displayed content and avoiding misjudgments due to information lag. Access control and data security mechanisms protect sensitive information from unauthorized access, meeting the security and compliance requirements of government or enterprise applications. Attached Figure Description
[0053] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.
[0054] Figure 1 This is a flowchart illustrating a multimedia visualization method based on the fusion of geographic information and industrial data according to the present invention. Detailed Implementation
[0055] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.
[0056] like Figure 1 As shown, this invention provides a multimedia visualization method based on the fusion of geographic information and industry data, including:
[0057] The system acquires the enterprise's geographic information data and industry data, and preprocesses the geographic information data and industry data. The industry data includes industry static data, industry dynamic data, and industry-defined data.
[0058] Based on the preprocessed geographic information data and industry data, the correlation between geographic information data and industry data is established, and a multi-layer data fusion model is constructed.
[0059] Build a visualization engine to generate visual display scenarios based on preprocessed geographic information data, and design visualization elements for industry data.
[0060] Establish user interaction and data-driven analysis functions, allowing users to interact with visual scenarios through mouse operations and perform data analysis.
[0061] Establish a data update mechanism to maintain and optimize the system.
[0062] This invention provides an intuitive and dynamic display of a company's geographic information and its relationship with industry data, improving data visualization and analysis efficiency. By integrating multi-layered data, a comprehensive industry data view is constructed, helping users better understand a company's geographical location, industry layout, and development trends. Furthermore, the addition of user-interactive features makes the data analysis process more flexible and convenient, meeting diverse user analysis needs. The established data update mechanism ensures the timeliness and accuracy of the displayed content, providing strong support for corporate decision-making.
[0063] In some embodiments of this application, the geographic information data includes: administrative divisions, transportation networks, and industrial park boundaries; the industry-specific data includes: enterprise registration information, industry type, output value, and contact information; the industry-dynamic data includes: resource consumption data, market transaction data, and new investment data; and the industry-customized data includes: historical strategic plans and historical strategic achievements.
[0064] Understandably, through detailed geographic information and industry data classification, this invention not only covers the company's basic static information but also encompasses dynamic data reflecting the company's operational status and market activities, as well as data customized according to user needs. This comprehensive data integration allows visualization to go beyond the company's geographical location, revealing its industrial layout, operational status, and market trends in greater depth. Geographic information data such as administrative divisions, transportation networks, and industrial park boundaries provide an intuitive background for the company's geographical positioning and industrial distribution. Industry-specific data such as company registration information, industry type, output scale, and contact information construct the company's basic information framework. Industry-specific dynamic data such as resource consumption data, market transaction data, and new investment data reflect the company's operational and market dynamics in real time, helping users grasp the company's latest development trends. Meanwhile, industry-specific data such as historical strategic plans and achievements provide users with a way to gain a deeper understanding of the company's history and development strategy.
[0065] In some embodiments of this application, the geographic information data and industry data are preprocessed, including: data cleaning, standardization, and missing value handling of the geographic information data and industry data; and the geographic information data is converted using an address resolution engine to convert text addresses into latitude and longitude coordinates.
[0066] In this embodiment, a series of preprocessing steps are required when processing geographic information data and industry data to ensure data quality and usability. Preprocessing includes:
[0067] Data cleaning: This step involves removing errors, duplicates, outliers, and irrelevant information from the data. For example, it involves checking for inconsistencies in the dataset, such as different spellings or formats of the same location, and correcting obvious errors, such as incorrect coordinate values or unreasonable numerical values.
[0068] Standardization: Standardization ensures data format consistency for easier subsequent analysis. This may include standardizing date and time formats, currency units, and units of measurement. For example, converting all currency units to US dollars or standardizing all date formats.
[0069] Missing value handling: Missing values are a common problem in datasets. There are several ways to handle missing values, including deleting records containing missing values, imputing them with the mean or median, using more complex imputation methods, or labeling them as "unknown," such as in predictive models based on other variables.
[0070] Address resolution engine conversion: Geographic data often contains a large amount of text address information, such as street addresses, city names, and zip codes. To convert this text information into a machine-readable format, an address resolution engine is needed. This process converts the text address into specific latitude and longitude coordinates, allowing this location information to be accurately located and visualized on a map.
[0071] Understandably, by cleaning, standardizing, and handling missing values, this invention ensures the quality and consistency of geographic information data and industry data, laying a solid foundation for subsequent data fusion and visualization. The application of the address resolution engine transforms geographic information data from text addresses into precise latitude and longitude coordinates, enabling accurate location of geographic information in visualizations and improving the accuracy and intuitiveness of geographic information presentation.
[0072] In some embodiments of this application, the multi-layer data fusion model includes: a spatial layer, including: the enterprise's geographical location, the enterprise's park area, and transportation routes; an attribute layer, including: the enterprise's industry, annual output value, number of employees, establishment time, and whether it is a high-tech enterprise; a status layer, including: whether it is active, whether it has expansion intentions, and whether it has already had investment promotion contact records; and a relationship layer, including: a supply chain relationship map between upstream and downstream related enterprises.
[0073] In this embodiment, all data is imported into a visual data warehouse through an ETL tool and indexed to support fast retrieval.
[0074] Understandably, by constructing a multi-layered data fusion model, this invention achieves deep integration and comprehensive analysis of enterprise data. The spatial layer provides basic information such as the enterprise's geographical location, campus area, and transportation routes, presenting users with the enterprise's geographical distribution and transportation environment. The attribute layer covers key attributes such as the enterprise's industry, annual output value, number of employees, establishment date, and whether it is a high-tech enterprise, constructing a comprehensive information profile of the enterprise. The status layer reflects dynamic information such as the enterprise's activity status, expansion intentions, and investment attraction records, helping users to understand the latest developments and trends of the enterprise in a timely manner. The relationship layer reveals the connections and industrial ecosystem between enterprises by constructing a supply chain relationship graph between upstream and downstream related enterprises.
[0075] In some embodiments of this application, a visualization engine is constructed to generate a visualization display scene based on preprocessed geographic information data and to design visualization elements for industry data. This includes: constructing a visualization engine using WebGL; generating a two-dimensional geographic map based on the preprocessed geographic information data as a visualization display scene, wherein the two-dimensional geographic map includes terrain rendering, map labeling, and layer control functions; and selecting visualization charts and symbols according to the type of preprocessed industry data to design visualization elements for industry data.
[0076] In this embodiment, a visualization engine is built using WebGL technology. WebGL is a JavaScript API that allows the use of GPU-accelerated 3D graphics in a web browser without the need for plugins. WebGL enables the creation of powerful 2D and 3D visualization environments to display geographic information data.
[0077] In building the visualization engine, a two-dimensional geographic map will be generated as the visualization display scenario. Key functions include: Terrain rendering: Using heightmaps or contour data, a three-dimensional effect of the terrain can be rendered, allowing users to intuitively see the terrain's undulations. Map annotation: To provide richer information, the map will include various annotations, such as city names, roads, and rivers. These annotations will dynamically show or hide based on user interaction. Layer control: Users can control the layers displayed on the map; for example, they can choose to display only specific information such as terrain, roads, and administrative divisions. This allows users to customize the map view according to their needs.
[0078] For visualizing industry data, we will select appropriate charts and symbols based on the type and characteristics of the data. For example, for time series data, line charts or area charts can be used to display trends. For categorical data, bar charts or pie charts may be better choices. For geographically distributed data, heat maps or scatter plots can be used to represent the distribution of data on a map.
[0079] Furthermore, specific symbols will be designed to represent industry data, such as using icons of different sizes or colors to represent companies of different sizes or different types of industries.
[0080] Ultimately, by combining WebGL technology, geographic information data preprocessing, and carefully designed visualization elements, an intuitive and highly interactive visualization platform can be created to help users better understand and analyze geographic and industry data.
[0081] Understandably, by utilizing WebGL technology, this invention achieves efficient and smooth visualization, ensuring a positive user experience during data analysis and interaction. The generation of a two-dimensional geographic map not only provides terrain rendering and map annotation functions, allowing users to intuitively understand the company's geographical location and surrounding environment, but also enables layered display of different data types through layer control, enhancing the flexibility and readability of the visualization. Furthermore, selecting appropriate visualization charts and symbols based on the type of industry data ensures that the industry data is clearly and accurately expressed in the visualization, helping users better understand the information and trends behind the data.
[0082] In some embodiments of this application, the visualization elements include: a dotted heatmap, used to display the density of enterprises within a certain industry in different regions, with the color intensity reflecting the number of enterprises; a bar chart, used to display the comparison of the output value of a certain industry in different regions, with the position of the bar chart corresponding to the geographical coordinates of the region; clustering markers, used to merge multiple enterprises within a certain radius into an aggregate icon, which expands when clicked; industry layered layers, used to switch between viewing the distribution of different industries; and dynamic flow arrows, used to display the flow of funds between upstream and downstream enterprises.
[0083] Understandably, by designing diverse visualization elements, the content and form of visualization are enriched, enabling users to more intuitively understand enterprise geographic information and its relationship with industry data.
[0084] In some embodiments of this application, a user interaction and data linkage analysis function is established. Users interact with the visualization scene through mouse operations and perform data analysis, including: users interacting with the visualization scene through mouse operations, specifically: clicking on a certain point to obtain detailed data information and related descriptions; viewing the data distribution and characteristics at different scales by panning and zooming; viewing the enterprise's changing trend over time by dragging the timeline; and selecting specific industry types, regional ranges, or time intervals for data display through querying and filtering.
[0085] The data analysis includes: data statistics, trend analysis, and spatial analysis.
[0086] Understandably, by building user interaction and data-driven analysis functions, user engagement and the depth of data analysis are greatly enhanced. Users can quickly obtain detailed data information and related descriptions for a specific point in the visualization scene by clicking on it; this point-to-click approach makes data acquisition more convenient and efficient. Simultaneously, users can flexibly view data distribution and characteristics at different scales through panning and zooming functions, providing a clear display of both macro-level global perspectives and micro-level local details. The timeline dragging function allows users to dynamically observe the company's changing trends over time, grasping the company's development trajectory and future direction. Furthermore, the addition of query and filtering functions allows users to display data based on specific industry types, geographical areas, or time intervals, meeting diverse user analysis needs. In terms of data analysis, this invention provides various functions such as data statistics, trend analysis, and spatial analysis, helping users to deeply explore the information and value behind the data, providing strong data support for corporate strategic planning and market analysis.
[0087] In some embodiments of this application, a user interaction and data linkage analysis function is established, including: when a user selects a region on a two-dimensional geographic map, the right side automatically refreshes and displays the industry composition and enterprise size distribution of the corresponding region.
[0088] In this embodiment, this function allows users to intuitively understand the composition ratio of different industries and the size distribution of enterprises within a selected area. When a user clicks or selects a specific area on the map, the system responds instantly and dynamically displays a pie chart or bar chart of the industry composition of that area, as well as a scatter plot or classification statistics of enterprise size on the right side of the interface. This real-time display of regional data not only improves the efficiency of information acquisition for users but also enhances their intuitive understanding of the industrial structure and enterprise distribution within the selected area.
[0089] In some embodiments of this application, a data update mechanism is established for system maintenance and optimization, including: periodically calling third-party APIs to obtain the latest data, which includes the latest geographic information data and the latest industry data; and automatically or manually updating the visualization display based on the latest data.
[0090] The replacement process includes incremental updates and full updates; incremental updates update the data that has changed; full updates update all data once a day.
[0091] In this embodiment, by establishing a data update mechanism, the present invention ensures the timeliness and accuracy of the data in the visualization. Regularly calling third-party APIs to obtain the latest geographic information and industry data enables the system to promptly capture the latest dynamics of enterprises and the market. Automatically or manually updating the visualization based on the latest data ensures that the information users rely on for data analysis and decision-making is up-to-date and reliable. Regarding data update methods, the present invention provides two modes: incremental update and full update, to adapt to the needs of different scenarios. The incremental update mode only updates data that has changed, effectively reducing resource consumption and time costs associated with data updates and improving update efficiency. The full update mode updates all data daily, ensuring the comprehensiveness and consistency of the data.
[0092] In some embodiments of this application, the method further includes: constructing an access control and data security mechanism; specifically: setting multi-level user permissions and encrypting the data to be transmitted using HTTPS; wherein, user permissions include: administrators, for editing data and configuring map styles; analysts, for viewing all data and exporting charts; and visiting users, for browsing the map but not allowed to interact.
[0093] In this embodiment, it is determined whether the data is sensitive data. If it is sensitive data, it is blocked from display on the unauthorized user interface.
[0094] In this embodiment, by constructing an access control and data security mechanism, the present invention effectively ensures data security and the compliance of user operations. The multi-level user permission settings allow users with different roles to enjoy different operational permissions according to their responsibilities and needs. Administrators have the highest permissions, enabling them to edit data and configure map styles to meet system management and customization needs. Analysts can view all data and export charts, facilitating data analysis and report creation. Visitors only have map browsing permissions and cannot perform interactive operations, which protects data integrity and prevents unauthorized user misoperation. Furthermore, HTTPS encryption of the data to be transmitted further enhances the security of data transmission, preventing data from being stolen or tampered with during transmission.
[0095] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0096] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0097] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0098] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A multimedia visualization method based on the fusion of geographic information and industry data, characterized in that, include: The system acquires the enterprise's geographic information data and industry data, and preprocesses the geographic information data and industry data. The industry data includes industry static data, industry dynamic data, and industry-defined data. Based on the preprocessed geographic information data and industry data, the correlation between geographic information data and industry data is established, and a multi-layer data fusion model is constructed. Build a visualization engine to generate visual display scenarios based on preprocessed geographic information data, and design visualization elements for industry data; Establish user interaction and data-driven analysis functions, allowing users to interact with visual scenarios through mouse operations and perform data analysis; Establish a data update mechanism to maintain and optimize the system.
2. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, The geographic information data includes: administrative divisions, transportation networks, and industrial park boundaries; The industry solid data includes: enterprise registration information, industry type, output value, and contact information; The industry dynamics data includes: resource consumption data, market transaction data, and new investment data; The industry-defined data includes: historical strategic plans and historical strategic achievements.
3. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, Preprocessing of the geographic information data and industry data includes: The geographic information data and industry data are cleaned, standardized, and missing value processed. The address resolution engine is used to transform geographic information data, converting text addresses into latitude and longitude coordinates.
4. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, The multi-layer data fusion model includes: The spatial layer includes: the company's geographical location, the scope of the company park, and transportation routes; The attribute layer includes: the industry to which the enterprise belongs, annual output value, number of employees, establishment time, and whether it is a high-tech enterprise; Status layer includes: whether it is active, whether it has an intention to expand, and whether it has a record of business contact. The relationship layer includes: the supply chain relationship map between upstream and downstream related enterprises.
5. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, Build a visualization engine to generate visual display scenarios based on preprocessed geographic information data, and design visualization elements for industry data, including: building a visualization engine using WebGL; A two-dimensional geographic map is generated based on preprocessed geographic information data as a visualization display scenario. The two-dimensional geographic map includes terrain rendering, map annotation, and layer control functions. Based on the type of preprocessed industry data, select visualization charts and symbols to design visualization elements for the industry data.
6. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, The visualization elements include: A point-based heatmap is used to show the density of companies within a specific industry in different regions. A bar chart is used to compare the output value of a specific industry in different regions. Clustering tags are used to group multiple companies within a certain radius into an aggregate icon, which expands when clicked. Industry-specific hierarchical layers are used to switch between and view the distribution of different industries; Dynamic flow arrows are used to display the flow of funds between upstream and downstream enterprises.
7. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, Establish user interaction and data-driven analysis capabilities, allowing users to interact with visual scenarios via mouse operations and perform data analysis, including: Users interact with the visual scene through mouse operations, specifically: Click on a specific point to obtain detailed data and related information; View the data distribution and characteristics at different scales by panning and zooming; View the company's trends over time by dragging the timeline; By querying and filtering, users can select specific industry types, geographical ranges, or time intervals for data display. The data analysis includes: data statistics, trend analysis, and spatial analysis.
8. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, Establish user interaction and data linkage analysis functions, including: when a user selects a region on a two-dimensional geographic map, the right side will automatically refresh and display the industry composition and enterprise size distribution of the corresponding region.
9. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, Establish a data update mechanism to perform system maintenance and optimization, including: Regularly call third-party APIs to obtain the latest data, including the latest geographic information data and the latest industry data; The visualization is updated automatically or manually based on the latest data. The replacement process includes both incremental updates and full updates; The incremental update is used to update the data that has changed. The full update refers to updating all data once a day.
10. The multimedia visualization method based on the fusion of geographic information and industrial data according to claim 1, characterized in that, The method also includes: constructing access control and data security mechanisms; Specifically, this involves setting up multi-level user permissions and encrypting the data to be transmitted using HTTPS. User permissions include: administrators, who can edit data and configure map styles; Analysts are used to view all data and export charts; Visitors are allowed to browse the map but are not permitted to interact with it.