A three-dimensional GIS multi-source data-based earthquake theme scene construction system and method

Abstract

This invention discloses a system and method for constructing earthquake-themed scenarios based on multi-source 3D GIS data, belonging to the field of 3D geographic information system technology. It aims to solve the technical problems of data silos, limited information display, delayed data updates, and lack of end-to-end connectivity in earthquake emergency response. The system adopts a layered architecture consisting of a data resource layer, a data fusion layer, a service support layer, and an application display layer. The method involves building a basic 3D GIS emergency scenario, aggregating multi-source earthquake data, achieving spatiotemporal data fusion and event correlation, and completing integrated 3D display and decision support. This enables unified spatiotemporal fusion and real-time dynamic updates of earthquake data across all dimensions, as well as 3D visualization and spatiotemporal simulation of the entire pre-earthquake, during-earthquake, and post-earthquake chain. This provides global and three-dimensional decision support for earthquake emergency command, significantly improving the efficiency, accuracy, and systematic nature of earthquake emergency response.

Description

Technical Field

[0001] This invention relates to the field of three-dimensional geographic information system technology, and in particular to a system and method for constructing earthquake-themed scenes based on three-dimensional GIS multi-source data. Background Technology

[0002] my country is a country prone to earthquakes, with some regions characterized by high frequency, large magnitude, complex disaster chains, and severe losses. This places extremely high demands on the efficiency, accuracy, and systematic nature of earthquake emergency response. To enhance earthquake response capabilities, various earthquake-related departments and institutions have gradually established their own professional operational systems, forming a comprehensive database covering earthquake geology, risk assessment, monitoring and early warning, rapid evaluation, and field investigation, providing data and technical support for earthquake emergency response work.

[0003] However, in actual earthquake emergency response practice, the existing technical system still has many problems that urgently need to be solved, making it difficult to meet the needs of full-chain, integrated emergency command. These problems are mainly reflected in the following aspects: 1. Multi-source data is distributed in silos and lacks a unified integration framework: basic thematic data such as geological structure, active faults, and risk hazards before the earthquake, real-time data such as earthquake monitoring, early warning terminal response, and aftershock sequence during the earthquake, and output data such as rapid loss assessment and on-site disaster investigation after the earthquake are scattered and stored in independent systems of different business departments. The data formats, spatiotemporal benchmarks, and expression standards are not uniform, making it impossible to achieve efficient data integration and linkage analysis across systems and dimensions. This has formed many information silos and makes it difficult to realize the collaborative value of multi-source data.

[0004] 2. The information display format is monotonous and lacks a three-dimensional global perspective: The existing display of earthquake-related information mostly relies on two-dimensional GIS maps or independent report documents, which cannot intuitively present the spatial superposition relationship between three-dimensional terrain, building (structure) models and disaster distribution. Emergency command personnel need to consult multiple documents and switch between multiple systems at the same time, making it difficult to quickly form a global and three-dimensional understanding of earthquake disasters, and decision-making information is fragmented.

[0005] 3. Insufficient timeliness of data access and updates, and poor response and linkage: On-site disaster data still largely relies on the traditional method of manual reporting and manual compilation into maps, resulting in significant delays in information transmission; at the same time, the existing system lacks a standardized and scalable multi-source data access paradigm, resulting in low efficiency in accessing and updating real-time monitoring data and on-site collected data, making it impossible to achieve real-time comparison and correction between on-site disaster data and background assessment data, and making it difficult to support the dynamic decision-making needs of emergency command.

[0006] 3. Lack of end-to-end emergency response capability and absence of a unified visualization platform: Existing technical solutions mostly focus on single aspects of earthquake emergency response, such as only issuing early warnings, completing loss assessments, or supporting on-site investigations. They have not yet formed an end-to-end, full-time information integration and visualization platform that connects pre-earthquake risk identification, real-time monitoring during the earthquake, and post-disaster investigation, assessment, and post-disaster debriefing. This makes it impossible to dynamically deduce and trace the evolution of earthquake disasters and the progress of emergency response, resulting in insufficient systematicness and coherence in emergency response work.

[0007] Meanwhile, Geographic Information System (GIS) technology has rapidly evolved from two-dimensional to three-dimensional. 3D GIS technology can intuitively and accurately recreate geospatial features, providing a solid technological foundation for the fusion and display of multi-source heterogeneous data. Therefore, how to leverage 3D GIS technology to construct an earthquake-themed scenario construction solution that can integrate multi-source earthquake data across all dimensions, achieve unified spatiotemporal data fusion, support real-time dynamic updates, and complete the entire chain of visualization and decision support has become crucial for addressing current pain points in earthquake emergency response technology and improving earthquake disaster emergency response capabilities. Summary of the Invention

[0008] The purpose of this invention is to provide a system and method for constructing earthquake-themed scenarios based on 3D GIS multi-source data, and to build a 3D GIS multi-source data fusion and visualization solution that connects the entire earthquake emergency response chain, breaking down information silos, improving the efficiency, accuracy and systematicness of earthquake emergency response, and providing global and three-dimensional decision support for earthquake emergency command.

[0009] To achieve the above objectives, this invention provides a seismic scene construction system based on 3D GIS multi-source data, employing a layered architecture including a data resource layer, a data fusion layer, a service support layer, and an application display layer, wherein: The data resource layer is used to collect full-dimensional data related to the earthquake theme, including 3D GIS base data, pre-earthquake thematic data, real-time monitoring and analysis output data during earthquakes, and real-time data collected on site. The data fusion layer, the core layer of the system, is equipped with a multi-source data parsing module, a spatiotemporal unified fusion module, and a real-time data access module, enabling structured parsing of multi-source data, unification of spatiotemporal benchmarks across the entire domain, correlation of earthquake events, and real-time access and storage of field data. The service support layer provides geographic information services, spatial analysis services, and data query and push services using a microservice architecture, and provides standardized functional interfaces for the upper layer display. The application presentation layer constructs a three-dimensional integrated display interface for earthquake-themed applications, enabling full-chain data linkage display, real-time data tracing, dynamic spatiotemporal process simulation, and multi-dimensional interactive operations in earthquake emergency response, providing visualized decision support for earthquake emergency command.

[0010] Preferably, the multi-source data parsing module is specifically configured with: The template configuration unit stores predefined field mapping relationships and data extraction partitioning rules for different business reports; The regular expression rule library stores regular expression matching rule sets for various target information. The rule sets are constructed according to a three-layer logic of "keyword anchoring - content adaptation - redundancy filtering". The parsing and execution engine connects to the template configuration unit and the regular expression rule library, respectively. It is used to call the corresponding regular expression matching rules according to the extraction partition locked by the template configuration unit, automatically extract key information from the report text and output structured data.

[0011] Preferably, the spatiotemporal unified fusion module is specifically configured with: The coordinate transformation unit uses a seven-parameter transformation method or a four-parameter transformation method to transform spatial data from the non-CGCS2000 coordinate system to the CGCS2000 coordinate system, with the transformation residual controlled within 0.1m; The unified elevation unit converts all elevation data to the 1985 National Elevation Datum. The time synchronization unit uses the NTP protocol to calibrate the real-time data stream, and the time synchronization error threshold is controlled within 100 milliseconds. The event association unit uses earthquake event identifiers as indexes to establish a mapping table between dynamic data and 3D scenes.

[0012] Preferably, the real-time data access module is specifically configured with: The long-connection communication interface uses the WebSocket protocol to establish a persistent bidirectional communication channel with the on-site mobile terminal; A data cache queue is used to temporarily store disaster information and GPS trajectory data reported from the scene. The disconnection reconnection mechanism automatically attempts to rebuild the connection and retransmit the data lost during the interruption when communication is interrupted.

[0013] Preferably, the spatial analysis service in the service support layer is specifically configured with a trigger-based analysis engine. This engine has a built-in emergency response level determination rule base, which automatically determines the emergency response level based on the magnitude, location, and population density of real-time earthquake events, and triggers the corresponding emergency analysis process. The spatial analysis service is also configured with: The buffer analysis operator uses the Gauss-Kruger projection local approximation algorithm to generate the buffer boundary, and the boundary error is controlled within 5m. The distance measurement operator uses a spherical distance algorithm to calculate the distance between two points, with the error controlled within ±10m. Spatial query operators support the retrieval of spatial containment and intersection relationships of point, line, and polygon features.

[0014] Preferably, the application presentation layer is specifically configured with: The timeline control supports data playback and fast forward at the minute-level time granularity. The multi-dimensional interactive interface provides interactive operation functions such as spatial range selection, attribute condition filtering, and layer visibility control. The 3D rendering engine, built on the Cesium kernel, supports seamless overlay of terrain, imagery, and oblique photogrammetry models, with a stable rendering frame rate of 45-60 frames per second, and supports simultaneous loading of ≥1000 dynamic data points and real-time updates.

[0015] A method for constructing earthquake-themed scenes based on 3D GIS multi-source data, applied to the aforementioned system, includes the following steps: S1. Build a 3D GIS earthquake emergency basic scene, integrate 3D GIS base data to construct a 3D geographic information base, load pre-earthquake thematic base data, and form a 3D static base scene containing basic earthquake risk information. S2. Earthquake event triggering and multi-source data full-domain aggregation: After an earthquake event is detected, a unique earthquake event identifier is generated, and the multi-source data parsing, system interface connection, and real-time on-site data access process are started simultaneously to realize the full-domain automatic aggregation of earthquake monitoring and analysis data, rapid assessment data, and on-site collected data. S3. Multi-source data spatiotemporal fusion and event association: All the aggregated dynamic data are standardized and unified according to spatiotemporal benchmarks. The standardized dynamic data is associated with the three-dimensional static base scene and bound to the current earthquake event identifier, so as to realize the accurate fusion and association of multi-source data with three-dimensional geographic scene and earthquake event. S4. Three-dimensional integrated display of earthquake-themed scenarios and emergency decision support: In the three-dimensional integrated display interface, the core earthquake information after fusion is displayed in stages according to the whole chain process of earthquake emergency response. Spatial analysis capabilities are called to carry out emergency analysis. The time axis realizes the full-time data tracing and spatiotemporal process simulation of earthquake events. At the same time, it provides multi-dimensional data interaction functions to support earthquake emergency command and decision-making.

[0016] Preferably, in step S2, the multi-source data parsing involves extracting and structuring key information from standardized reports of various earthquake-related departments. The extracted key information includes earthquake location, magnitude, geological structure, station status, early warning response, and aftershock sequence information. The field-collected data includes on-site disaster information, multimedia materials, and real-time trajectory data of on-site personnel.

[0017] Preferably, in step S4, the segmented display of the entire earthquake emergency response process includes: displaying earthquake monitoring and early warning response-related data during the earthquake, and displaying data related to casualties, disaster damage, and on-site handling after the disaster; the invocation of spatial analysis capabilities includes automatically or custom generating analysis buffers, and overlaying and displaying the distribution and status information of various key disaster-affected elements within the buffers.

[0018] Preferably, in step S4, the full-time data tracing is implemented based on a time axis control, which supports backtracking the entire process of data evolution from the occurrence of the earthquake event to the end of the emergency response at the minute-level time granularity, and supports replaying the disaster status, data distribution and emergency response progress at any time node.

[0019] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects: (1) It effectively broke down the information silos between various business systems related to earthquake emergency response, and realized the full-domain integration and linkage of multi-source heterogeneous data in all dimensions before, during, and after the earthquake. By establishing a unified spatiotemporal fusion framework, the scattered basic thematic data, real-time monitoring data, and field-collected data were standardized and integrated, so that various types of data could form a data synergy under the same system, give full play to the collaborative value of multi-source data, and greatly improve the integration efficiency and comprehensive utilization capability of earthquake emergency-related information.

[0020] (2) Based on 3D GIS technology, an integrated 3D display scene for earthquake-themed events was constructed, realizing a three-dimensional and global presentation of earthquake disaster information, completely changing the single form of traditional 2D or document-based display. Emergency command personnel can intuitively grasp the overall picture of the disaster in a unified 3D interface without having to search for information across systems or data, effectively solving the problem of fragmented decision-making information, significantly improving the overall situational awareness of earthquake disasters, and laying the foundation for rapid disaster assessment.

[0021] (3) A standardized and scalable earthquake data access and dynamic update system has been constructed, realizing efficient access and synchronous update of various types of data such as on-site disaster situation and real-time monitoring, which greatly improves the timeliness of earthquake emergency information. Various dynamic data can be quickly integrated into the three-dimensional scene and provide real-time feedback on disaster changes. It can realize timely comparison and correction between the actual disaster situation on-site and the background assessment data, providing real-time and accurate information support for earthquake emergency command and assisting in dynamic and precise decision-making in emergency command.

[0022] (4) A comprehensive information integration and simulation capability for earthquake emergency response has been established, encompassing pre-earthquake risk identification, real-time monitoring during the earthquake, and post-disaster investigation, assessment, and post-response review. Through full-time data tracing and spatiotemporal process simulation functions, the entire process of earthquake disaster evolution and emergency response can be fully reconstructed, enabling the retrospective analysis of disaster status and response progress at any node. This improves the closed-loop management of earthquake emergency response, significantly enhances the systematicness and coherence of earthquake emergency response work, and facilitates the scientific review and optimization of emergency response.

[0023] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a hierarchical diagram illustrating an embodiment of a method for constructing earthquake-themed scenes based on multi-source 3D GIS data according to the present invention. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0027] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0028] Example like Figure 1 As shown, the earthquake-themed scene construction system and method based on 3D GIS multi-source data described in this invention are applicable to data analysis, visualization, and decision support throughout the entire earthquake emergency response process. The specific implementation of this invention will be described in detail below in conjunction with actual earthquake emergency application scenarios. This embodiment is only used to illustrate this invention and is not intended to limit the scope of protection of this invention.

[0029] This invention system is deployed on the Sichuan Provincial Earthquake Emergency Command Platform, serving the entire chain of emergency response to earthquake disasters in Sichuan Province and surrounding areas. The system adopts a layered architecture consisting of a data resource layer, a data fusion layer, a service support layer, and an application display layer. From top to bottom, it realizes the full-domain collection, standardized fusion, service-oriented encapsulation, and three-dimensional visualization of data. The corresponding construction method proceeds in the steps of scenario building, data aggregation, spatiotemporal fusion, and display decision-making. Each link works together to complete the construction and implementation of earthquake-themed scenarios, adapting to the efficiency and accuracy requirements of earthquake emergency response in Sichuan Province.

[0030] S1. In the scenario building phase, the system first collects the 3D GIS base data from across the province through the data resource layer to build a standardized 3D geographic information base. Then, all the pre-earthquake thematic base data is loaded into this base to complete the construction of the 3D GIS earthquake emergency basic scenario.

[0031] Among them, the 3D GIS base data is collected according to high-precision standards. The province uses a 12.5m resolution digital elevation model to construct the 3D terrain, and the resolution of remote sensing images of the province is ≥0.5m. For key high-risk earthquake areas such as the Chengdu Plain and southern Sichuan, a refined oblique photogrammetric 3D model with a ground resolution of ≤3cm / pixel is used, and the model's planar accuracy is ≤5cm, elevation accuracy is ≤10cm, and texture resolution is ≥200DPI to ensure that the details of geographical elements such as terrain, buildings, and roads are clearly presented. The pre-earthquake thematic basic data includes a catalog of historical earthquakes in Sichuan Province, the distribution of active fault zones such as Longmenshan, the layout of seismic stations in the province, geological disaster hazard points, population and distribution of important facilities such as schools, reservoirs, and transportation arteries, etc. Through this step, a 3D static base scene containing the basic risk data of earthquakes in Sichuan Province is formed, laying a high-precision geographical foundation for subsequent earthquake data fusion and visualization.

[0032] S2. When the earthquake monitoring system detects an earthquake event in the region, the system automatically triggers a multi-source data aggregation process. First, a unique earthquake event identifier is generated, serving as the core index for all subsequent data associations. Then, through the multi-source data parsing module, based on the collaborative logic of template configuration and a regular expression rule base, the system automatically parses standardized reports produced by various business departments of the Sichuan Provincial Earthquake Administration, including earthquake early warning information briefings, aftershock statistics reports, seismic tectonic reports, and monitoring capability reports. The regular expression rule base follows a three-layer logic: anchoring, matching, and validation. First, it anchors target fields such as the number of early warning terminals, active fault names, number of stations, and epicentral distance using keywords. Then, it uses differentiated rules to accurately extract key information based on numerical, text, and formatted combination types. Finally, it filters redundant content and completes pre-validation, efficiently extracting earthquake location, magnitude, and active fault information. The system collects structured information such as the nature of the earthquake, the operational status of monitoring stations, the response status of early warning terminals, and aftershock sequences. Simultaneously, it connects to a rapid assessment system via a standardized API interface to obtain preliminary assessment data on casualties, economic losses, and the scope of the disaster's impact in the earthquake zone. Furthermore, through a long-connection communication channel based on the WebSocket protocol, the system receives disaster information reported by mobile data acquisition terminals on-site, including casualties, building damage, and facility damage, as well as real-time GPS tracks, disaster photos, and videos from on-site investigators. This enables automated and comprehensive aggregation of multi-source data during the earthquake, and the real-time data stream is time-calibrated via the NTP protocol to ensure that the time error between the terminal and the server does not exceed 1 second.

[0033] S3. After data aggregation is completed, the system standardizes all dynamic data through a spatiotemporal unified fusion module to achieve a unified spatiotemporal reference for all data. In terms of spatial coordinates, all spatial data from all sources are uniformly converted to the CGCS2000 coordinate system, using the Gauss-Kruger projection (3-degree zone) as the plane projection standard. The elevation datum is uniformly adopted as the 1985 National Elevation Datum. For historical or non-standard coordinate system data, conversion is performed using a seven-parameter or four-parameter coordinate transformation method, with the conversion residual controlled to ≤0.1m, ensuring seamless overlay and accurate matching of all spatial data. In terms of time information, the timestamps of all data are uniformly calibrated to UTC time, with the synchronization error threshold controlled to ≤100ms, achieving standardization and unification of the time dimension. After completing the spatiotemporal benchmark standardization, the system associates all dynamic data with the previously built 3D GIS earthquake emergency basic scene, and overlays data such as aftershock sequences, disaster locations, and station status onto the 3D geographic information base according to geographic spatial location. All data are bound to the identifier of this earthquake event, realizing the precise integration of multi-source dynamic data with 3D geographic scenes and earthquake events. This allows various types of data to form a linkage under a unified spatiotemporal framework, completely breaking down information silos between various business systems and giving full play to the collaborative value of multi-source data.

[0034] S4. In the earthquake-themed scenario display and decision support phase, the system uses a three-dimensional integrated display interface in the application display layer to present the fused full-dimensional data in a three-dimensional and global manner. The 3D scene rendering frame rate of this interface is stable at 45-60 frames / s, supporting the simultaneous loading of ≥1000 dynamic data points and real-time updates of their positions and attributes, ensuring smooth display and real-time feedback of disaster data. The system will first automatically match the "Sichuan Earthquake Administration Earthquake Emergency Service Response Level" to trigger the corresponding emergency interface based on the monitored magnitude, occurrence area, and densely populated area standard (population density within 10km of the epicenter > 100 people / km²), classifying emergency service responses into levels one to four. Different levels correspond to different magnitude thresholds and regional scope requirements; the specific rules are as follows.

[0035] Level 1 Emergency Service Response: An earthquake of magnitude M≥7.0 occurred in a densely populated area within the province; An earthquake of magnitude 6.0 or greater occurred in Chengdu. An earthquake of magnitude M≥8.0 occurred within 200 kilometers of the provincial border in another province.

[0036] Level II Emergency Service Response: An earthquake of magnitude 6.0 ≤ M < 7.0 occurred in a densely populated area within the province. An earthquake with a magnitude of 5.0 ≤ M < 6.0 occurred in Chengdu. An earthquake of magnitude 7.0 ≤ M < 8.0 occurred within 200 kilometers of the provincial border in another province.

[0037] Level 3 Emergency Service Response: An earthquake of magnitude 5.0 ≤ M < 6.0 occurred in a densely populated area within the province. An earthquake with a magnitude of 4.0 ≤ M < 5.0 occurred in Chengdu. An earthquake of magnitude 6.0 ≤ M < 7.0 occurred within 100 kilometers of the provincial border in another province.

[0038] Level IV Emergency Service Response: An earthquake of magnitude 4.0 ≤ M < 5.0 occurred within the province; An earthquake with a magnitude of 3.0 ≤ M < 4.0 occurred in Chengdu. An earthquake of magnitude 5.0 ≤ M < 6.0 occurred within 50 kilometers of the provincial border in another province.

[0039] The core information is then displayed in stages according to the entire chain of earthquake emergency response: during the earthquake, the focus is on earthquake monitoring data, the development of aftershock sequences, and the response status of early warning terminals, so that command personnel can keep abreast of the dynamic development of the earthquake in real time; after the disaster, the focus is on displaying information such as the distribution of disaster on site, casualties, damage to houses and facilities, and the progress of on-site investigation and disposal, so as to achieve a comprehensive overview of disaster information.

[0040] Commanders can access the spatial analysis services of the service support layer on this interface to perform operations such as buffer zone analysis, spatial distance calculation, and disaster element query. The spatial distance calculation uses a spherical distance algorithm with an error controlled within ±10m. The buffer zone boundary is generated using Gauss-Kruger projection local approximation with a boundary error ≤5m. The system can automatically generate the analysis range according to the emergency response level. Commanders can also customize and set buffer zones with a radius of 20 / 50 / 100km centered on the epicenter, and overlay and display the distribution and status of key disaster elements such as schools, hospitals, reservoirs, and transportation facilities within the buffer zone to assist in quickly delineating the rescue scope, planning rescue routes, and optimizing resource allocation. Meanwhile, the system's timeline control enables full-time data tracing and spatiotemporal process simulation of earthquake events. The minimum time unit for data playback is 1 minute, and key nodes such as aftershock sequences and GPS trajectories can be refined to 1 second. It also supports minute-level step-by-minute playback. Commanders can drag the timeline to trace back the disaster status, data distribution, and progress of each stage from the earthquake to emergency response at the corresponding time granularity, fully restoring the entire process of disaster evolution and emergency response.

[0041] This system not only provides real-time and accurate information support for dynamic and precise decision-making in earthquake emergency command, but also summarizes the problems and experiences in emergency response by reviewing and analyzing the data of the entire process after the emergency response is completed. This provides data basis for optimizing and improving subsequent earthquake emergency response work, forming a complete emergency response closed loop of data collection, integration, display, decision-making and review, which greatly improves the systematicness, coherence and scientific nature of earthquake emergency response work.

[0042] The remaining technical features in the above embodiments can be flexibly selected by those skilled in the art to meet different specific practical needs according to actual circumstances. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention should be within the protection scope of the appended claims. In the above description, numerous specific details have been set forth to provide a thorough understanding of the present invention. However, it will be apparent to those skilled in the art that these specific details are not necessary to implement the present invention. In other instances, to avoid obscuring the present invention, well-known techniques, such as specific construction details, operating conditions, and other technical conditions, have not been specifically described.

[0043] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A system for constructing seismic thematic scenes based on 3D GIS multi-source data, characterized in that, The architecture adopts a layered structure, including a data resource layer, a data fusion layer, a service support layer, and an application presentation layer, wherein: The data resource layer is used to collect full-dimensional data related to the earthquake theme, including 3D GIS base data, pre-earthquake thematic data, real-time monitoring and analysis output data during earthquakes, and real-time data collected on site. The data fusion layer, the core layer of the system, is equipped with a multi-source data parsing module, a spatiotemporal unified fusion module, and a real-time data access module, enabling structured parsing of multi-source data, unification of spatiotemporal benchmarks across the entire domain, correlation of earthquake events, and real-time access and storage of field data. The service support layer provides geographic information services, spatial analysis services, and data query and push services using a microservice architecture, and provides standardized functional interfaces for the upper layer display. The application presentation layer constructs a three-dimensional integrated display interface for earthquake-themed applications, enabling full-chain data linkage display, real-time data tracing, dynamic spatiotemporal process simulation, and multi-dimensional interactive operations in earthquake emergency response, providing visualized decision support for earthquake emergency command.

2. The earthquake-themed scene construction system based on three-dimensional GIS multi-source data according to claim 1, characterized in that: The multi-source data parsing module is specifically configured with: The template configuration unit stores predefined field mapping relationships and data extraction partitioning rules for different business reports; The regular expression rule library stores regular expression matching rule sets for various target information. The rule sets are constructed according to a three-layer logic of "keyword anchoring - content adaptation - redundancy filtering". The parsing and execution engine connects to the template configuration unit and the regular expression rule library, respectively. It is used to call the corresponding regular expression matching rules according to the extraction partition locked by the template configuration unit, automatically extract key information from the report text and output structured data.

3. The earthquake-themed scene construction system based on three-dimensional GIS multi-source data according to claim 1, characterized in that: The spatiotemporal unified fusion module is specifically configured with: The coordinate transformation unit uses a seven-parameter transformation method or a four-parameter transformation method to transform spatial data from the non-CGCS2000 coordinate system to the CGCS2000 coordinate system, with the transformation residual controlled within 0.1m; The unified elevation unit converts all elevation data to the 1985 National Elevation Datum. The time synchronization unit uses the NTP protocol to calibrate the real-time data stream, and the time synchronization error threshold is controlled within 100 milliseconds. The event association unit uses earthquake event identifiers as indexes to establish a mapping table between dynamic data and 3D scenes.

4. The earthquake-themed scene construction system based on three-dimensional GIS multi-source data according to claim 1, characterized in that: The real-time data access module is specifically configured with: The long-connection communication interface uses the WebSocket protocol to establish a persistent bidirectional communication channel with the on-site mobile terminal; A data cache queue is used to temporarily store disaster information and GPS trajectory data reported from the scene. The disconnection reconnection mechanism automatically attempts to rebuild the connection and retransmit the data lost during the interruption when communication is interrupted.

5. A seismic scene construction system based on 3D GIS multi-source data according to claim 1, characterized in that: The spatial analysis service in the service support layer is specifically configured with a trigger-based analysis engine. This engine has a built-in emergency response level determination rule base, which automatically determines the emergency response level based on the magnitude, location, and population density of real-time earthquake events, and triggers the corresponding emergency analysis process. The spatial analysis service is also configured with: The buffer analysis operator uses the Gauss-Kruger projection local approximation algorithm to generate the buffer boundary, and the boundary error is controlled within 5m. The distance measurement operator uses a spherical distance algorithm to calculate the distance between two points, with the error controlled within ±10m. Spatial query operators support the retrieval of spatial containment and intersection relationships of point, line, and polygon features.

6. The earthquake-themed scene construction system based on three-dimensional GIS multi-source data according to claim 1, characterized in that: The application presentation layer is specifically configured as follows: The timeline control supports data playback and fast forward at the minute-level time granularity. The multi-dimensional interactive interface provides interactive operation functions such as spatial range selection, attribute condition filtering, and layer visibility control. The 3D rendering engine, built on the Cesium kernel, supports seamless overlay of terrain, imagery, and oblique photogrammetry models, with a stable rendering frame rate of 45-60 frames per second, and supports simultaneous loading of ≥1000 dynamic data points and real-time updates.

7. A method for constructing earthquake-themed scenes based on 3D GIS multi-source data, applied to the system described in any one of claims 1-6, characterized in that, Includes the following steps: S1. Build a 3D GIS earthquake emergency basic scene, integrate 3D GIS base data to construct a 3D geographic information base, load pre-earthquake thematic base data, and form a 3D static base scene containing basic earthquake risk information. S2. Earthquake event triggering and multi-source data full-domain aggregation: After an earthquake event is detected, a unique earthquake event identifier is generated, and the multi-source data parsing, system interface connection, and real-time on-site data access process are started simultaneously to realize the full-domain automatic aggregation of earthquake monitoring and analysis data, rapid assessment data, and on-site collected data. S3. Multi-source data spatiotemporal fusion and event association: All the aggregated dynamic data are standardized and unified according to spatiotemporal benchmarks. The standardized dynamic data is associated with the three-dimensional static base scene and bound to the current earthquake event identifier, so as to realize the accurate fusion and association of multi-source data with three-dimensional geographic scene and earthquake event. S4. Three-dimensional integrated display of earthquake-themed scenarios and emergency decision support: In the three-dimensional integrated display interface, the core earthquake information after fusion is displayed in stages according to the whole chain process of earthquake emergency response. Spatial analysis capabilities are called to carry out emergency analysis. The time axis realizes the full-time data tracing and spatiotemporal process simulation of earthquake events. At the same time, it provides multi-dimensional data interaction functions to support earthquake emergency command and decision-making.

8. The method for constructing seismic thematic scenes based on three-dimensional GIS multi-source data according to claim 7, characterized in that: In step S2, the multi-source data parsing involves extracting and structuring key information from standardized reports of various earthquake-related departments. The extracted key information includes earthquake location, magnitude, geological structure, station status, early warning response, and aftershock sequence information. The field-collected data includes on-site disaster information, multimedia materials, and real-time trajectory data of on-site personnel.

9. A method for constructing seismic thematic scenes based on three-dimensional GIS multi-source data according to claim 7, characterized in that: In step S4, the segmented display of the entire earthquake emergency response process includes: displaying earthquake monitoring and early warning response data during the earthquake, and displaying data related to casualties, disaster damage, and on-site handling after the disaster; the invocation of spatial analysis capabilities includes automatically or custom generating analysis buffers, and overlaying and displaying the distribution and status information of various key disaster-affected elements within the buffers.

10. A method for constructing seismic thematic scenes based on three-dimensional GIS multi-source data according to claim 7, characterized in that: In step S4, the full-time data tracing is implemented based on a time axis control, which supports backtracking the entire process of data evolution from the occurrence of an earthquake event to the end of emergency response at the minute-level time granularity, and supports replaying the disaster status, data distribution and emergency response progress at any time node.

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