Flood simulation method and system based on mechanism model and digital twinborn double feedback

By combining mechanism model and digital twin technology, the dual feedback mechanism is used to perform flood simulation, the simulation limitations of the existing technology in complex environments and extreme conditions are solved, and high-precision, real-time and adaptive flood simulation is achieved, providing strong flood control decision support.

CN120068423APending Publication Date: 2025-05-30INSPUR SOFTWARE CO LTD
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Patent Information

Application Number
CN202510145188.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-10
Publication Date
2025-05-30

AI Technical Summary

Technical Problem

Existing flood simulation techniques have limitations in dealing with flood simulations in complex urban environments and extreme weather conditions, especially in terms of simulation accuracy and computational efficiency.

Method used

The flood simulation method based on mechanism model and digital twin dual feedback is adopted to create a high-precision flood simulation environment and integrate and update hydrological data in real time through the combination of flood data conversion processing, ear-cut triangulation, programmatic mesh editing and digital twin technology.

Benefits of technology

High-precision flood simulation is achieved, real-time and adaptability of the simulation is improved, user experience is enhanced, and scientific decision-making support is provided for flood control measures.

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Abstract

The invention relates to the technical field of digital twinning, and particularly provides a mechanism model and digital twinning-based double-feedback flood simulation method and system, and the method comprises the following steps: S1, flood data conversion processing; s2, triangulation is carried out through an ear cutting method; s3, programming grid body editing is carried out; and S4, flood routing simulation is carried out. Compared with the prior art, the method has the advantages that accurate flood modeling in flood simulation can be realized, and meanwhile, the real-time performance and the accuracy of a simulation result are ensured. The application of the ear cutting method improves the rendering efficiency and simulation precision of the grid body, and provides powerful technical support for flood simulation.
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Description

Technical Field

[0001] The present invention relates to the technical field of digital twins, and specifically provides a mechanism model and digital twin double-feedback flood simulation method and system. Background Art

[0002] In response to the actual needs in the field of river observation, along with the rapid development of big data collection and visualization rendering technology, the key technologies of virtual reality and visualization research are more widely applied in the field of river observation. For scenarios such as rivers, lakes, reservoirs, flood storage areas, and flood diversion areas, there are higher simulation requirements for the trend and impact of flood evolution from macroscopic, mesoscopic, and microscopic perspectives. The visualization rendering engine brings a unique sense of realistic immersion, expanded imagination, and human-computer interaction through virtual technology, and demonstrates powerful technical advantages in flood evolution visualization and simulation processes.

[0003] Currently, there are mainly three methods for simulating flood evolution in a visualization rendering engine. The first is traditional flood simulation technology: These technologies usually rely on physically based hydrological and hydraulic models, such as one-dimensional and two-dimensional hydrodynamic models, which can simulate the movement of water flow in rivers, river networks, and urban drainage systems. However, these models have limitations in dealing with flood simulations in complex urban environments and extreme weather conditions, especially in terms of simulation accuracy and computational efficiency.

[0004] The second is statistical models: Statistical models use historical flood data to predict the likelihood and characteristics of future flood events. These models include regression analysis, time series analysis, and probability distribution models, etc. However, statistical models usually cannot fully consider complex physical processes, and the prediction accuracy is limited in the case of insufficient data or low data quality.

[0005] The third is remote sensing and GIS technology: Remote sensing technology provides high-resolution terrain and land use data, while GIS technology is used to manage and analyze these data. These technologies are used in flood simulation to improve the spatial resolution and accuracy of the model. However, the acquisition and processing costs of remote sensing data are relatively high, and their applications in real-time monitoring and dynamic simulation are limited.

[0006] The above existing technologies have deficiencies in terms of flood simulation accuracy, real-time performance, adaptability, and user-friendliness. The limitations of traditional models in dealing with complex terrains and urban environments, the deficiencies of statistical models in understanding physical processes, and the challenges of remote sensing and GIS technology in real-time data processing and large-scale applications all limit the development and application of flood simulation technology. Summary of the Invention

[0007] In view of the deficiencies of the above existing technologies, the present invention provides a highly practical mechanism model and digital twin double-feedback flood simulation method.

[0008] A further technical task of the present invention is to provide a flood simulation system based on a mechanism model and digital twin double feedback, which is reasonably designed, safe and applicable.

[0009] The technical solution adopted by the present invention to solve its technical problems is as follows:

[0010] A flood simulation method based on a mechanism model and digital twin double feedback has the following steps:

[0011] S1. Flood data conversion and processing;

[0012] S2. Ear clipping triangulation;

[0013] S3. Procedural mesh body editing;

[0014] S4. Flood evolution simulation.

[0015] Further, in step S1, flood data is collected and processed, and these data are converted into a format applicable to the procedural mesh body.

[0016] Further, in step S2, the ear clipping algorithm is used to triangulate the procedural mesh body, identify and remove the "ears" of the polygon, that is, the vertices that form a triangle, until the polygon is completely decomposed into triangles. During the triangulation process, each newly generated triangle does not contain other vertices of the polygon.

[0017] Further, in step S3, the procedural mesh body component in the visualization rendering engine is used to dynamically generate and edit the mesh body. By calling the create mesh body component, the vertices, normals, UV texture coordinates, vertex colors and tangent directions of the model are defined, and then a complex flood area is constructed.

[0018] Further, in step S4, combined with digital twin technology, a virtual flood simulation environment is created, and through real-time data feedback, the evolution process of floods in the real world can be simulated;

[0019] Integrate real-time rainfall, water level and flow data, which are obtained from weather stations and hydrological monitoring stations through the API and the simulation results are updated in real time.

[0020] A flood simulation system based on a mechanism model and digital twin double feedback first performs flood data conversion and processing, uses ear clipping triangulation for complex polygonal terrains, then performs procedural mesh body editing, and finally performs flood evolution simulation.

[0021] Further, during flood data conversion and processing, flood data is collected and processed, and these data are converted into a format applicable to the procedural mesh body.

[0022] Further, during ear-cut triangulation, the ear-cut algorithm is used to triangulate the procedural mesh body, identify and remove the "ears" of the polygon, that is, the vertices forming the triangles, until the polygon is completely decomposed into triangles. During the triangulation process, each newly generated triangle does not contain other vertices of the polygon.

[0023] Further, during the editing of the procedural mesh body, the procedural mesh body component in the visual rendering engine is utilized to dynamically generate and edit the mesh body. By calling the create mesh body component, the vertices, normals, UV mapping coordinates, vertex colors, and tangent directions of the model are defined, thereby constructing a complex flood area.

[0024] Further, during the flood evolution simulation, in combination with digital twin technology, a virtual flood simulation environment is created. Through real-time data feedback, the evolution process of floods in the real world can be simulated.

[0025] Integrate real-time rainfall, water level, and flow data, which are obtained from weather stations and hydrological monitoring stations through APIs and used to update the simulation results in real time.

[0026] Compared with the prior art, a mechanism model and digital twin double-feedback flood simulation method and system of the present invention have the following prominent beneficial effects:

[0027] (1) High-precision flood simulation: By combining procedural mesh body generation and ear-cut triangulation techniques, the present invention can create high-precision terrain and geomorphic models, thereby achieving accurate simulation of flood dynamics. This includes the flow direction, flow velocity, water level changes of floods, and the impact of floods on the terrain, etc., providing a reliable technical means for flood prediction and risk assessment.

[0028] (2) Real-time data integration and dynamic feedback: The system can integrate and process real-time hydrological data, such as rainfall, water level, and flow, ensuring the real-time and accuracy of simulation results. The double-feedback mechanism enables the model to dynamically adjust according to real-time data and prediction errors, improving the adaptability and response speed of flood simulation.

[0029] (3) User-friendly visualization scene: The visualization scene built by combining digital twin technology enables non-professionals to understand and use flood simulation results, improving the usability and popularity of simulation results. Users can explore the dynamic process of flood simulation through intuitive interactive operations, enhancing the user experience.

[0030] (4) Application of digital twin technology: Utilizing digital twin technology, the present invention creates a virtual environment highly consistent with the real world, which can simulate the evolution process of floods in the real world in real time. This provides strong decision-making support for the planning and implementation of flood control measures.

[0031] (5) Improve flood prevention and mitigation capabilities: The flood simulation system of the present invention can provide scientific decision-making basis for government agencies, urban planners and emergency management personnel, helping them to more effectively conduct flood risk assessment and flood prevention measure planning, thereby reducing the impact of flood disasters on human society and the natural environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0033] Attached Figure 1 is a schematic flowchart of a flood simulation method based on a mechanism model and digital twin double feedback. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0034] In order to enable those skilled in the art of the present technology to better understand the solution of the present invention, the following will further elaborate on the present invention in combination with specific embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0035] The following gives a best embodiment:

[0036] As Figure 1 shown, a flood simulation method based on a mechanism model and digital twin double feedback in this embodiment has the following steps:

[0037] S1. Flood data conversion and processing;

[0038] Collect and process flood data, including elevation maps, geographical location and other information, and convert this data into a format that can be applied on a procedural grid body.

[0039] S2. Ear clipping triangulation;

[0040] In order to efficiently process and render complex polygonal terrains, we use the ear clipping algorithm for triangulation. This algorithm can decompose polygons into multiple triangles for rendering in a visualization rendering engine. The key steps of the ear clipping method include identifying and removing the "ears" (i.e., vertices that can form triangles) of the polygon until the polygon is completely decomposed into triangles. This method is particularly effective when dealing with flood simulation areas with complex boundaries.

[0041] Using the ear - cutting algorithm, triangulate the procedural mesh body. The algorithm starts by identifying the ears of the polygon (i.e., the parts that can form triangles), and then gradually removes these ears until the polygon is decomposed into multiple triangles. During the triangulation process, each newly generated triangle does not contain other vertices of the polygon to ensure the correctness of the triangulation.

[0042] S3. Procedural mesh body editing;

[0043] Using the procedural mesh body component in the visualization rendering engine, we can dynamically generate and edit the mesh body. By calling the create mesh body component, we can define the vertices, normals, UV mapping coordinates, vertex colors, and tangent directions of the model, and then construct a complex flood area. These procedural mesh bodies can simulate the dynamic changes of flood inundation, thus providing a more realistic visual effect and physical behavior.

[0044] Using the API of the procedural mesh body component, dynamically add or modify the vertices and faces of the mesh body. According to the processed flood data, adjust the shape of the mesh body to simulate the evolution process and flood characteristics of the flood.

[0045] S4. Flood evolution simulation;

[0046] Combined with digital twin technology, we create a virtual flood simulation environment that is highly consistent with the terrain and hydrological conditions of the real world. Through real - time data feedback, our system can simulate the evolution process of floods in the real world and provide decision - making support for flood control measures.

[0047] Integrate real - time rainfall, water level, and flow data to ensure the real - time and accuracy of the simulation results. These data can be obtained from weather stations and hydrological monitoring stations through the API and used to update the simulation results in real time.

[0048] Test the results of the procedural mesh body generation and ear - cutting triangulation to ensure that they meet the accuracy requirements of flood simulation, and verify the performance and stability of the mesh body under different terrain and landform conditions.

[0049] Based on the above method, in this embodiment, a flood simulation system based on the mechanism model and digital twin double - feedback first performs flood data conversion processing, uses the ear - cutting method to triangulate complex polygonal terrains, then performs procedural mesh body editing, and finally performs flood evolution simulation.

[0050] Among them, during the flood data conversion processing, collect and process flood data, and convert these data into a format applicable to the procedural mesh body.

[0051] When performing ear - cutting triangulation on a procedural mesh, use the ear - cutting algorithm to triangulate the procedural mesh body, identify and remove the "ears" of the polygon, that is, the vertices that form triangles, until the polygon is completely decomposed into triangles. During the triangulation process, each newly generated triangle does not contain other vertices of the polygon.

[0052] When editing a procedural mesh body, utilize the procedural mesh body component in the visualization rendering engine to dynamically generate and edit the mesh body. By calling the create mesh body component, define the vertices, normals, UV mapping coordinates, vertex colors, and tangent directions of the model, and then construct a complex flood area.

[0053] When conducting flood evolution simulation, combine digital twin technology to create a virtual flood simulation environment. Through real - time data feedback, it can simulate the evolution process of floods in the real world;

[0054] Integrate real - time rainfall, water level, and flow data. These data are obtained from weather stations and hydrological monitoring stations through APIs and are used to update the simulation results in real - time.

[0055] The above - mentioned specific embodiments are only specific cases of the present invention. The patent protection scope of the present invention includes but is not limited to the above - mentioned specific embodiments. Any technical solutions that conform to the technical solutions described in the above - mentioned specific embodiments of the present invention and any appropriate changes or substitutions made by those of ordinary skill in the relevant technical field shall fall within the patent protection scope of the present invention.

[0056] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A flood simulation method based on mechanism model and digital twin dual feedback, characterized in that: The steps are as follows: S1, flood data conversion and processing; S2, ear-cut triangulation; S3, procedural mesh editing; S4. Flood evolution simulation.

2. According to claim 1, a flood simulation method based on mechanism model and digital twin double feedback is characterized in that: In step S1, flood data is collected and processed, and converted into a format for application on a procedural mesh.

3. According to claim 2, a flood simulation method based on mechanism model and digital twin double feedback is characterized in that: In step S2, the procedural mesh is triangulated using an ear-cutting algorithm to identify and remove the "ears" of the polygons, i.e., the vertices that make up the triangles, until the polygons are completely decomposed into triangles. During the triangulation process, each newly generated triangle does not contain other vertices of the polygon.

4. A flood simulation method based on mechanism model and digital twin dual feedback according to claim 3, characterized in that: In step S3, the procedural mesh component in the visual rendering engine is used to dynamically generate and edit the mesh. By calling the create mesh component, the vertices, normals, UV mapping coordinates, vertex colors and tangent directions of the model are defined, thereby constructing a complex flood area.

5. A flood simulation method based on mechanism model and digital twin dual feedback according to claim 4, characterized in that: In step S4, a virtual flood simulation environment is created by combining digital twin technology, which can simulate the evolution of floods in the real world through real-time data feedback; Integrate real-time rainfall, water level and flow data obtained from weather stations and hydrological monitoring stations via APIs and update simulation results in real time.

6. A flood simulation system based on mechanism model and digital twin dual feedback, characterized in that: First, the flood data is converted and processed, and the complex polygonal terrain is triangulated using the ear-cut method. Then, procedural mesh editing is performed, and finally, flood evolution simulation is carried out.

7. The flood simulation system based on mechanism model and digital twin dual feedback according to claim 6 is characterized in that: Flood data conversion is the process of collecting and processing flood data and converting it into a format that can be used on procedural meshes.

8. The flood simulation system based on mechanism model and digital twin dual feedback according to claim 7 is characterized in that: During ear-cut triangulation, the procedural mesh is triangulated using the ear-cut algorithm, identifying and removing the "ears" of the polygons, i.e. the vertices that make up the triangles, until the polygons are completely decomposed into triangles. During the triangulation process, each newly generated triangle does not contain the other vertices of the polygon.

9. The flood simulation system based on mechanism model and digital twin dual feedback according to claim 8 is characterized in that: When editing procedural meshes, the procedural mesh components in the visual rendering engine are used to dynamically generate and edit meshes. By calling create mesh components, the model's vertices, normals, UV mapping coordinates, vertex colors, and tangent directions are defined to construct complex flood areas.

10. The flood simulation system based on mechanism model and digital twin dual feedback according to claim 8 is characterized in that: When simulating the evolution of floods, digital twin technology is combined to create a virtual flood simulation environment. Through real-time data feedback, the evolution of floods in the real world can be simulated. Integrate real-time rainfall, water level and flow data obtained from weather stations and hydrological monitoring stations via APIs and update simulation results in real time.