Hydrodynamic three-dimensional model construction method and system based on digital twin rendering

Abstract

The invention discloses a hydrodynamic three-dimensional model construction method and system based on digital twin rendering, and relates to the technical field of hydrodynamic model construction. According to the digital twin rendering-based hydrodynamic three-dimensional model construction method, historical water flow data and river geographic information of a river are acquired and analyzed, a river three-dimensional model is established based on an analysis result, hydrodynamic simulation is performed, and a hydrodynamic simulation result is evaluated and adjusted, so that the dynamic three-dimensional model is constructed. According to the method, the historical water flow data and the detailed geographic information are integrated to construct the three-dimensional model, and iterative optimization is performed on the three-dimensional model, so that the prediction accuracy of the model can be improved, and the iterative optimization process allows the model to adapt to environmental changes and unforeseen hydrological events, so that the prediction accuracy of the model is improved. Therefore, the applicability and flexibility of the model in practical application are enhanced, the model is further suitable for a dynamic and complex water body environment, and a decision maker can formulate a water resource management strategy based on the most accurate simulation result.

Description

Technical Field

[0001] The present invention relates to the technical field of hydrodynamic model construction, and specifically to a method and system for constructing a hydrodynamic three-dimensional model based on digital twin rendering. Background Art

[0002] Traditional hydrodynamic models are widely used in river management, flood prediction, water resources planning and other fields. These models are designed based on hydrological data, climate conditions and terrain features, and can simulate the behavior of water flow, such as flow rate, flow and water level. Traditional models mainly rely on static data and assumptions, and usually describe water flow behavior through mathematical and physical equations. However, these models have limitations in dealing with complex changing environments, real-time data integration and highly interactive visual expressions.

[0003] With the improvement of computing power and the development of data science and technology, digital twin technology has emerged, providing a new way to simulate and manage complex systems. Digital twin technology creates digital copies of physical entities, allowing users to simulate, analyze and predict the behavior of entities in virtual space. In the field of hydrodynamics, digital twin technology provides a dynamic and interactive simulation environment by integrating real-time monitoring data, climate change models and geographic information systems (GIS).

[0004] Despite significant progress, hydrodynamic digital twin models still face many challenges, including how to efficiently process and integrate large amounts of real-time data, how to improve the accuracy and adaptability of the model, and how to ensure the reliability and practicality of the simulation results. In addition, there is a need to better apply the model to decision support systems to help policymakers and engineers make scientific management and intervention decisions.

[0005] Based on the above solutions, it is found that the limitations of existing technologies include at least the following problems. First, traditional methods usually rely on static data models and lack the ability of dynamic updating and real-time simulation. In addition, parameter evaluation is often limited to the initial design stage and fails to fully consider the changes that may occur throughout the life cycle, which can easily lead to benefits in actual applications not meeting expectations, greatly affecting the accuracy of the constructed model. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a method and system for constructing a hydrodynamic three-dimensional model based on digital twin rendering, which solves the problem that traditional methods usually rely on static data models, lack the ability of dynamic updating and real-time simulation, and parameter evaluation is often limited to the initial design stage, and fails to fully consider the changes that may occur throughout the life cycle, which can easily lead to benefits in actual applications not meeting expectations, greatly affecting the accuracy of the constructed model.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for constructing a hydrodynamic three-dimensional model based on digital twin rendering, comprising the following steps: obtaining historical water flow data and river geographic information of a river, wherein the historical water flow data includes historical river entrance status data, historical river middle section status data, and historical river outlet status data, and the river geographic information includes river boundary information and riverbed information; performing data analysis on the historical water flow data and riverbed information of the river respectively to obtain river entrance boundary conditions, river middle section boundary conditions, river outlet boundary conditions, and riverbed parameter data sets; establishing a three-dimensional model of the river based on the river boundary information and the riverbed parameter data sets; performing hydrodynamic simulation on the three-dimensional model of the river based on the river entrance boundary conditions, river middle section boundary conditions, and river outlet boundary conditions, and evaluating and adjusting the hydrodynamic simulation results until the three-dimensional model of the river meets the expected standards.

[0008] Furthermore, the historical river entrance state data specifically includes the inlet cross-sectional area value of the upstream inlet of the river and the historical inlet water flow velocity measurement value and the historical inlet water flow level measurement value at each measurement position; the historical river middle section state data specifically includes the regional cross-sectional area value of each river area of ​​the river and the historical regional water flow velocity measurement value and the historical regional water flow level measurement value at each measurement position; the historical river outlet state data specifically includes the outlet cross-sectional area value of the upstream outlet of the river and the historical outlet water flow velocity measurement value and the historical outlet water flow level measurement value at each measurement position; the river boundary information specifically includes the river The three-dimensional coordinate information of each coordinate point on the two boundaries of the flow, the riverbed information is specifically the riverbed height measurement value of each riverbed area measured each time, the river entrance boundary condition includes the inlet water flow velocity value, inlet water flow flow value, and inlet water flow water level value of the upstream entrance of the river, the middle section boundary condition of the river includes the regional water flow velocity value, regional water flow flow value, and regional water flow water level value of each river area of ​​the river, the river outlet boundary condition includes the outlet water flow velocity value, outlet water flow flow value, and outlet water level value of the downstream outlet of the river, and the riverbed parameter data set is specifically the mean riverbed height value of each riverbed area.

[0009] Furthermore, the specific steps for obtaining the boundary conditions of the river entrance, the middle section of the river, and the river outlet are as follows: reading the historical inlet water flow velocity measurement values, the historical inlet water flow level measurement values, the historical regional water flow velocity measurement values, the historical regional water flow level measurement values, and the historical outlet water flow velocity measurement values ​​of each measurement position of each river region of the river at each measurement position of the upstream river outlet, and preprocessing; the historical inlet water flow velocity measurement values, the historical inlet water flow level measurement values, the historical inlet water flow level measurement values, the historical regional water flow velocity measurement values, the historical regional water flow level measurement values, and the historical outlet water flow level measurement values ​​of each measurement position of the upstream river entrance after preprocessing, the historical regional water flow velocity measurement values, the historical regional water flow level measurement values, and the historical outlet water flow velocity measurement values ​​of each measurement position of each river region of the river at each measurement position of the upstream river outlet, A comprehensive analysis is performed in combination with the weighted average method to obtain the inlet water flow velocity value and inlet water flow level value of the upstream inlet of the river, the regional water flow velocity value and regional water flow level value of each river area of ​​the river, and the outlet water flow velocity value and outlet water flow level value of the downstream outlet of the river; based on the inlet cross-sectional area value of the upstream inlet of the river, the regional cross-sectional area value of each river area of ​​the river, the outlet cross-sectional area value of the upstream outlet of the river, and the historical inlet water flow velocity measurement values ​​of each measuring position of the upstream inlet of the river after preprocessing, the historical regional water flow velocity measurement values ​​of each measuring position of each river area of ​​the river, and the historical outlet water flow velocity measurement values ​​of each measuring position of the upstream outlet of the river, a comprehensive analysis is performed in combination with the mean method to obtain the inlet water flow value of the upstream inlet of the river, the regional water flow flow value of each river area of ​​the river, and the outlet water flow value of the downstream outlet of the river.

[0010] Furthermore, the specific formulas for calculating the regional water flow velocity value, regional water flow flow value, and regional water flow water level value of each river area of ​​the river are as follows: ;in, For the river The regional water flow velocity value of the river area, For the river The river area Historical regional water velocity measurements at each measurement location, For the river The river area The weighting coefficient of the historical regional water flow velocity measurements at each measurement location, For the river The regional water level value of the river area, For the river The river area Historical regional stream level measurements at each measurement location, For the river The river area The weighting coefficient of the historical regional water level measurement values ​​at each measurement location, For the river The regional water flow velocity value of the river area, For the river The regional cross-sectional area value of the river region, , is the number of river areas, , is the number of measurement locations within the river area.

[0011] Furthermore, the specific steps for obtaining the riverbed parameter data set are as follows: for each riverbed area, combined with the moving exponential average method, mean analysis is performed on the riverbed height measurement values ​​measured each time to obtain the mean riverbed height of each riverbed area.

[0012] Furthermore, the specific formula for calculating the mean riverbed height of each riverbed area is as follows: ;in, For the The average riverbed height of the riverbed area is For the The riverbed area The riverbed height measurement value of the measurement, For the The riverbed area The weighting factor of the riverbed height measurement value of the second measurement, For the The riverbed area The riverbed height measurement value of the measurement, For the The riverbed area The weighting factor of the riverbed height measurement value of the second measurement, is a natural constant, , is the number of riverbed areas, , The number of measurements for the riverbed height measurements.

[0013] Furthermore, the specific steps for establishing a three-dimensional model of the river based on the river boundary information and the riverbed parameter data set are as follows: perform regional connection processing on the mean riverbed height of each riverbed area to obtain riverbed terrain information; import the three-dimensional coordinate information of each coordinate point on the two boundaries of the river and the mean riverbed height of each riverbed area into a pre-selected digital twin engine, establish a three-dimensional model of the river, and perform digital twin rendering processing.

[0014] Furthermore, based on the boundary conditions of the river inlet, the boundary conditions of the middle section of the river and the boundary conditions of the river outlet, the hydrodynamic simulation of the three-dimensional river model is carried out, and the hydrodynamic simulation results are evaluated and adjusted until the three-dimensional river model meets the expected standards. The specific steps are as follows: taking each river area of ​​the river as the simulation grid unit of the three-dimensional river model; taking the boundary conditions of the river inlet, the boundary conditions of the middle section of the river and the boundary conditions of the river outlet as simulation parameters; executing a hydrodynamic rendering simulation on the simulation grid unit of the three-dimensional river model, that is, executing a hydrodynamic rendering simulation for each river area of ​​the river; summarizing the simulation results of each river area to obtain the regional water flow velocity simulation value, regional water flow flow simulation value and regional water flow level simulation value of each river area; evaluating and analyzing the regional water flow velocity simulation value, regional water flow flow simulation value and regional water flow level simulation value of each river area obtained by simulation respectively with the corresponding historical parameters, and adjusting the parameters of the three-dimensional river model according to the evaluation and analysis; iteratively simulating the adjusted three-dimensional river model, and repeating the evaluation analysis and parameter adjustment steps until the three-dimensional river model meets the expected standards.

[0015] Furthermore, the specific steps for adjusting the parameters of the three-dimensional river model based on the evaluation analysis are as follows: determine whether the regional water flow velocity simulation value, regional water flow flow simulation value, and regional water flow water level simulation value of each river area obtained by simulation meet the corresponding regional water flow velocity value, regional water flow flow value, and regional water flow water level value respectively; if there is a river area where the regional water flow velocity simulation value does not meet the corresponding regional water flow velocity value, then the regional water flow velocity simulation value and the regional water flow velocity value are averaged to obtain the regional water flow velocity adjustment value, and the boundary conditions of the middle section of the river are updated at the same time; if there is a river area where the regional water flow flow simulation value does not meet the corresponding regional water flow flow value, then the regional water flow flow simulation value and the regional water flow flow value are averaged to obtain the regional water flow flow adjustment value, and the boundary conditions of the middle section of the river are updated at the same time; if there is a river area where the regional water flow water level simulation value does not meet the corresponding regional water flow water level value, then the regional water flow water level simulation value and the regional water flow water level value are averaged to obtain the regional water flow water level adjustment value, and the boundary conditions of the middle section of the river are updated at the same time.

[0016] A hydrodynamic three-dimensional model construction system based on digital twin rendering includes: a data acquisition module, a data analysis module, a model construction module, and a simulation adjustment module; the data acquisition module is used to obtain historical water flow data and river geographic information of a river, the historical water flow data includes historical river entrance state data, historical river middle section state data, and historical river outlet state data, and the river geographic information includes river boundary information and riverbed information; the data analysis module is used to perform data analysis on the historical water flow data and riverbed information of the river, respectively, to obtain river entrance boundary conditions, river middle section boundary conditions, river outlet boundary conditions, and riverbed parameter data sets; the model construction module is used to establish a river three-dimensional model based on the river boundary information and the riverbed parameter data set; the simulation adjustment module is used to perform hydrodynamic simulation on the river three-dimensional model based on the river entrance boundary conditions, river middle section boundary conditions, and river outlet boundary conditions, and evaluate and adjust the hydrodynamic simulation results until the river three-dimensional model meets the expected standards.

[0017] The present invention has the following beneficial effects: (1) This method of constructing a hydrodynamic three-dimensional model based on digital twin rendering integrates historical water flow data and detailed geographic information to construct a three-dimensional model, and iteratively optimizes it, thereby improving the prediction accuracy of the model. Moreover, the iterative optimization process allows the model to adapt to environmental changes and unforeseen hydrological events, thereby enhancing the applicability and flexibility of the model in practical applications, and making it suitable for dynamic and complex water environments, enabling decision makers to formulate water resources management strategies based on the most accurate simulation results.

[0018] (2) This method of constructing a hydrodynamic three-dimensional model based on digital twin rendering can effectively predict the response of the river through an accurate model, reducing over-construction and waste of resources caused by prediction errors. In addition, through the digital twin rendering method, design defects and potential problems can be foreseen before the model is initially completed, so that adjustments can be made before actual construction. This not only reduces construction costs, but also shortens the project cycle, accelerates the return on investment, and ultimately improves the economic benefits of the entire project.

[0019] (3) This method of constructing a hydrodynamic three-dimensional model based on digital twin rendering uses a digital twin model based on actual data to simulate hydrodynamics, making river management more flexible and responsive. Especially under extreme weather conditions, accurate models can predict the impact of natural events such as floods and droughts, so that measures can be taken in advance to reduce disaster losses. In addition, continuous monitoring and simulation also ensure the safe operation of water conservancy facilities, protect people’s lives and property, and protect the water ecological environment.

[0020] (4) The hydrodynamic three-dimensional model construction system based on digital twin rendering forms an integrated platform through data acquisition module, data analysis module, model construction module and simulation adjustment module, which enables seamless data flow between various departments and teams. This integrated workflow not only reduces time delays in data processing and model construction, but also helps decision makers quickly and accurately obtain key information by providing a unified, real-time updated view, thereby making more scientific and timely management decisions.

[0021] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to the present invention.

[0023] Figure 2 This is a flowchart of the specific steps of performing hydrodynamic simulation on a three-dimensional river model and evaluating and adjusting the hydrodynamic simulation results in a method for constructing a hydrodynamic three-dimensional model based on digital twin rendering in the present invention.

[0024] Figure 3 This is a block diagram of a hydrodynamic three-dimensional model construction system based on digital twin rendering in the present invention. DETAILED DESCRIPTION

[0025] The embodiment of the present application solves the problem that traditional methods usually rely on static data models, lack the ability of dynamic update and real-time simulation, and parameter evaluation is often limited to the initial design stage, failing to fully consider the changes that may occur throughout the life cycle, which can easily lead to benefits in actual applications not meeting expectations and greatly affecting the accuracy of the constructed model.

[0026] The overall idea of ​​the problem in the embodiment of this application is as follows: First, obtain the historical water flow data and geographic information of the river, including the river's inlet, middle section, outlet status data and river boundary and riverbed information, and conduct a detailed analysis of these data to determine the boundary conditions and riverbed parameters of each part of the river. Secondly, use the analyzed data to build a detailed three-dimensional model of the river. Based on the model, use hydrodynamic simulation to test and evaluate the behavior of the river model to ensure that the simulation results can accurately reflect the actual situation of the river. Finally, evaluate the preliminary simulation results and compare them with historical data. Adjust the model parameters based on the evaluation results, and then perform iterative simulation and continuous optimization until the model reaches the expected accuracy and practicality standards.

[0027] See also Figure 1 , an embodiment of the present invention provides a technical solution: a method for constructing a hydrodynamic three-dimensional model based on digital twin rendering, comprising the following steps: obtaining historical water flow data and river geographic information of a river, the historical water flow data including historical river entrance status data, historical river middle section status data, and historical river outlet status data, and the river geographic information including river boundary information and riverbed information; performing data analysis on the historical water flow data and riverbed information of the river respectively to obtain river entrance boundary conditions, river middle section boundary conditions, river outlet boundary conditions, and riverbed parameter data sets; establishing a river three-dimensional model based on the river boundary information and riverbed parameter data sets; performing hydrodynamic simulation on the river three-dimensional model based on the river entrance boundary conditions, river middle section boundary conditions, and river outlet boundary conditions, and evaluating and adjusting the hydrodynamic simulation results until the river three-dimensional model meets the expected standards.

[0028] The historical river entrance status data specifically includes the entrance cross-sectional area value of the upstream entrance of the river and the historical entrance water flow velocity measurement value and the historical entrance water flow level measurement value at each measurement position. The historical river middle section status data specifically includes the regional cross-sectional area value of each river area of ​​the pre-divided river and the historical regional water flow velocity measurement value and the historical regional water flow level measurement value at each measurement position. The historical river outlet status data specifically includes the outlet cross-sectional area value of the upstream outlet of the river and the historical outlet water flow velocity measurement value and the historical outlet water flow level measurement value at each measurement position. The river boundary information specifically includes the three-dimensional coordinate information of each coordinate point on the two boundaries of the river. The riverbed information specifically includes the information of each riverbed area pre-divided. The riverbed height measurement value of each measurement in the domain, the river inlet boundary conditions include the inlet water flow velocity value, inlet water flow rate value, and inlet water flow level value of the upstream inlet of the river, that is, the speed, flow rate, and water level of the water flow entering the simulation area; the river middle section boundary conditions include the regional water flow velocity value, regional water flow rate value, and regional water flow level value of each river area of ​​the pre-divided river, that is, the speed, flow rate, and water level of the water flow in each river area in the simulation area; the river outlet boundary conditions include the outlet water flow velocity value, outlet water flow rate value, and outlet water flow level value of the downstream outlet of the river, that is, the speed, flow rate, and water level of the water flow leaving the simulation area; the riverbed parameter data set is specifically the mean riverbed height of each riverbed area.

[0029] Among them, the water flow velocity is obtained using a portable current meter (such as an electromagnetic current meter or an acoustic Doppler current meter), the water level is obtained using a water level meter (which can be a float type or a pressure type water level meter), and the cross-sectional area is measured by measuring the width and depth of the river, usually by physical measurement or using a laser rangefinder. Then the cross-sectional area is calculated, and the three-dimensional coordinate information of each coordinate point on the two boundaries of the river is obtained using GIS and global positioning system (GPS) equipment, or using a camera or laser scanning equipment (LiDAR) carried by a drone to obtain detailed three-dimensional images and coordinates of the river boundary from the air, and the height of each riverbed area is measured using an acoustic depth sounder (such as a single beam or multi-beam) to measure the height of the riverbed from a ship, or using a laser rangefinder from the riverbank or bridge to accurately measure the height of the riverbed.

[0030] Specifically, the specific steps for obtaining the boundary conditions of the river entrance, the middle section of the river, and the river outlet are as follows: read the historical inlet water flow velocity measurement values, the historical inlet water flow level measurement values, the historical regional water flow velocity measurement values, the historical regional water flow level measurement values, and the historical outlet water flow level measurement values ​​of each measurement position of each river region of the river at each measurement position of the upstream river entrance, and perform preprocessing; the historical inlet water flow velocity measurement values, the historical inlet water flow level measurement values, the historical regional water flow velocity measurement values, the historical regional water flow level measurement values, and the historical outlet water flow level measurement values ​​of each measurement position of each river region of the river at each measurement position of the upstream river outlet after preprocessing are respectively concluded. A comprehensive analysis is performed using the weighted average method to obtain the inlet water flow velocity value and inlet water flow level value of the upstream inlet of the river, the regional water flow velocity value and regional water flow level value of each river area of ​​the pre-divided river, and the outlet water flow velocity value and outlet water flow level value of the downstream outlet of the river; based on the inlet cross-sectional area value of the upstream inlet of the river, the regional cross-sectional area value of each river area of ​​the river, the outlet cross-sectional area value of the upstream outlet of the river, and the historical inlet water flow velocity measurement values ​​of each measuring position of the upstream inlet of the river after preprocessing, the historical regional water flow velocity measurement values ​​of each measuring position of each river area of ​​the river, and the historical outlet water flow velocity measurement values ​​of each measuring position of the upstream outlet of the river, and combined with the mean method for comprehensive analysis, the inlet water flow value of the upstream inlet of the river, the regional water flow flow value of each river area of ​​the river, and the outlet water flow value of the downstream outlet of the river are obtained.

[0031] The specific formula for calculating the regional water flow velocity value, regional water flow flow value, and regional water flow water level value of each river area of ​​the pre-divided river is as follows: ;in, For the river The regional water flow velocity value of the river area, For the river The river area Historical regional water velocity measurements at each measurement location, For the river The river area The weighting coefficient of the historical regional water flow velocity measurements at each measurement location, For the river The regional water level value of the river area, For the river The river area Historical regional stream level measurements at each measurement location, For the river The river area The weighting coefficient of the historical regional water level measurement values ​​at each measurement location, For the river The regional water flow velocity value of the river area, For the river The regional cross-sectional area value of the river region, , is the number of pre-divided river areas, , is the number of measurement locations within the river area.

[0032] It needs to be explained that The specific calculation process is: The river area The historical regional water flow velocity measurements at the measurement locations are added together to obtain the water flow velocity and value, and then the river's The river area The historical regional water flow velocity measurements at each measurement location were ratio analyzed with the water flow velocity and value, and the ratio results were used as the corresponding weighting coefficients.

[0033] The specific calculation process is: The river area The historical regional water level measurements at the measurement locations are added together to obtain the water level and value, and then the river's The river area The historical regional water level measurement values ​​at each measurement location are analyzed by ratio with the water level and value, and the ratio results are used as the corresponding weighting coefficients In this implementation plan, by comprehensively using historical data and advanced calculation methods (such as weighted average method and mean method), this method can accurately calculate the water flow conditions (flow velocity, flow, water level) in various areas of the river. This precise calculation provides reliable decision-making support for river management, especially in flood management, water resource allocation and ecological protection. The technical solution allows dynamic updating of river conditions and real-time adjustment of model parameters so that the model can adapt to environmental changes. This flexibility is lacking in traditional models and is particularly important for responding to extreme weather events and seasonal changes caused by climate change. Through digital twin rendering technology, the solution not only provides a three-dimensional river model view, but also allows users to make real-time adjustments to simulation parameters and intuitively display results through an interactive interface, which enhances the user experience and enables non-professionals to easily understand complex hydrological data and model behaviors.

[0034] Specifically, the specific steps for obtaining the riverbed parameter data set are as follows: for each riverbed area, combined with the moving exponential average method, mean analysis is performed on the riverbed height measurement values ​​measured each time to obtain the mean riverbed height of each riverbed area.

[0035] The specific formula for calculating the mean riverbed height of each riverbed area is as follows: ;in, For the The average riverbed height of the riverbed area is For the The riverbed area The riverbed height measurement value of the measurement, For the The riverbed area The weighting factor of the riverbed height measurement value of the second measurement, For the The riverbed area The riverbed height measurement value of the measurement, For the The riverbed area The weighting factor of the riverbed height measurement value of the second measurement, is a natural constant, , is the number of pre-divided riverbed areas, , The number of measurements for the riverbed height measurements.

[0036] It needs to be explained that and The specific calculation process is: The riverbed area , The riverbed height measurements of the first and second measurements are added together to obtain the riverbed height and value, and then the The riverbed area , The measured riverbed height values ​​of the times were compared with the riverbed height and value respectively, and the ratio results were used as the corresponding weighting coefficients.

[0037] In this implementation scheme, the use of the moving exponential average method can reduce the impact of single measurement errors and local data fluctuations, and provide a smoother and more stable riverbed height trend. This method is particularly suitable for processing measured data containing random noise, and can provide a more accurate and reliable data basis for subsequent model establishment and analysis. The moving exponential average method can respond to actual changes in riverbed height more quickly by giving higher weights to new data, which is crucial for quickly identifying changes in riverbed morphology and taking corresponding management measures in a timely manner. Especially after floods or extreme weather events, by obtaining more accurate and smooth riverbed height data, the accuracy and Reliability and accurate riverbed data are the key to effective water flow simulation and prediction, especially when simulating water flow dynamics and predicting flood risks. Accurate riverbed height data is the basis for predicting river behavior, flood simulation and ecological assessment. By providing more accurate riverbed height data, this method helps to build more accurate hydrodynamic models, enabling the models to better simulate water flow behavior in the real world, thereby reducing prediction errors caused by data errors. Stable and responsive riverbed data provides a powerful decision support tool for river management. Managers can adjust management strategies in a timely manner based on these data, such as adjusting dam water release, optimizing water resource allocation and formulating riverbank protection measures.

[0038] Specifically, the specific steps for establishing a three-dimensional river model based on river boundary information and riverbed parameter data sets are as follows: regional connection processing is performed on the mean riverbed height of each riverbed area to obtain riverbed terrain information, that is, complete riverbed area height information, specifically, the midpoint of each area is regarded as the high point, and the midpoints of adjacent areas are connected using a parabola or other appropriate mathematical models to form a continuous but undulating riverbed terrain model; the three-dimensional coordinate information of each coordinate point on the two boundaries of the river and the mean riverbed height of each riverbed area are imported into the pre-selected digital twin engine Unity or Unreal Engine to establish a three-dimensional river model, and digital twin rendering processing is performed, specifically, advanced rendering technology is used to enhance the visual effects of the model, including realistic representation of the water surface such as reflection, transparency and ripple effects, and dynamic lighting and shadow effects are applied to increase the visual depth and realism of the model.

[0039] In this implementation scheme, the mean riverbed height of each riverbed area is smoothed, and a moving average or weighted average method is used to ensure a natural transition of height and reduce the impact of abnormal height points. The midpoint of each riverbed area is regarded as a high point, and a mathematical model (such as a parabola) is used to connect adjacent midpoints to ensure that the riverbed terrain is continuous and naturally undulating. This method helps to simulate the natural changes of the riverbed in the real world. Select a suitable digital twin engine (such as Unity or UnrealEngine), which supports advanced rendering technology and large-scale geographic information processing. Import the processed riverbed height data and the three-dimensional coordinates of the river boundary into the selected engine. These data form the basic framework of the model. Apply advanced technology to simulate the natural properties of the water surface, such as transparency, reflection and ripples, to enhance the realism and beauty of the water body. Use dynamic lighting and shadow technology to simulate the changes in natural light. Enhance the depth and detail level of the model and improve the realism of the visual effects. Through fine terrain processing and data smoothing, the model more accurately reflects the terrain characteristics of the actual riverbed and river, which is extremely important for hydrodynamic analysis and prediction of river behavior. It can provide more accurate flood simulation and water resources management decision support. The use of advanced rendering technology and digital twin platform not only improves the visual effect of the model, but also enhances the user's interactive experience with the model, which allows decision makers and scientific researchers to intuitively observe the model response, make real-time adjustments and predictions, and enhance the educational and demonstration value of the model. By building high-quality digital twin models, it can promote collaborative work in multiple fields such as water conservancy engineering, environmental science, and urban planning. The high accuracy and dynamic update capabilities of the model make it a valuable resource for interdisciplinary research and practical applications, and promote the development of technological innovation and application.

[0040] Specifically, Figure 2As shown, based on the boundary conditions of the river inlet, the boundary conditions of the middle section of the river, and the boundary conditions of the river outlet, the hydrodynamic simulation of the three-dimensional river model is carried out, and the hydrodynamic simulation results are evaluated and adjusted until the three-dimensional river model meets the expected standards. The specific steps are as follows: each river area of ​​the pre-divided river is used as a simulation grid unit of the three-dimensional river model, and each area is used as an independent calculation unit. Such gridding helps to focus on the hydrological dynamics of each area and simplify the calculation process; the boundary conditions of the river inlet, the boundary conditions of the middle section of the river, and the boundary conditions of the river outlet are used as simulation parameters; the simulation grid unit of the three-dimensional river model is executed to run the hydrodynamic rendering simulation, that is, for each river area of ​​the river, the simulation process is real-time. The dynamic changes of water flow in the river, such as changes in flow velocity, water level rise and fall, and flow direction, are considered, and suitable CFD software is used to handle complex fluid dynamics and interactions with the riverbed; the simulation results of each river area are summarized to obtain the regional water flow velocity simulation value, regional water flow flow simulation value, and regional water flow level simulation value of each river area, and the simulation results of each area are visualized for easy analysis and interpretation; the simulated regional water flow velocity simulation value, regional water flow flow simulation value, and regional water flow level simulation value of each river area are evaluated and analyzed with the corresponding historical parameters, and the parameters of the river three-dimensional model are adjusted according to the evaluation and analysis; the adjusted river three-dimensional model is iteratively simulated, and the evaluation analysis and parameter adjustment steps are repeated until the river three-dimensional model meets the expected standards.

[0041] In this implementation, each pre-divided river area is designed as an independent simulation grid unit. This division helps to analyze the hydrological dynamics of a specific area in a targeted manner, such as changes in flow velocity, flow rate, and water level, ensuring that the size and shape of the grid can effectively capture the key characteristics of fluid flow, while optimizing the use of computing resources and setting boundary conditions at the inlet, middle section, and outlet. These include but are not limited to parameters such as water velocity, flow rate, and water level. These parameters are set based on actual measurement or predicted data to ensure the realism and accuracy of the simulation. Computational fluid dynamics (CFD) software, such as ANSYS Fluent or OpenFOAM is used to simulate the water flow behavior in each area in detail. During the simulation process, the dynamic changes of water flow, including changes in flow velocity, water level and flow direction, are tracked and recorded in real time. The simulation results of each area are summarized and analyzed. Key data such as regional water flow velocity, flow rate and water level are extracted. The simulation results are presented using data visualization tools for easy understanding and interpretation, which also assists in decision-making and further analysis. The simulation results are compared with historical data to evaluate the simulation accuracy and actual performance. According to the evaluation results, necessary model parameter adjustments are made to improve the accuracy and reliability of the simulation. The adjusted model is re-simulated to verify the adjustment effect. The evaluation and adjustment process is repeated until the model meets the requirements. Preset performance standards, refined grid division and region-specific simulation parameter settings allow the model to more accurately reflect the hydrological dynamics of actual rivers. This improvement in accuracy is crucial for predicting flood risks, planning water resource utilization and responding to environmental changes. Through real-time simulation and data visualization, decision makers can instantly obtain key hydrological information, optimize water resource management strategies and reduce disaster risks. This technical support can significantly improve the ability to respond to extreme weather events and water resource crises. Continuous evaluation and adjustment cycles ensure that the model can always reflect the latest data and conditions, improve the adaptability and long-term availability of the model, which is particularly important for addressing the challenges brought by climate change and can ensure the continued effectiveness of water management strategies.

[0042] Specifically, the specific steps for adjusting the parameters of the three-dimensional river model based on the evaluation analysis are as follows: determine whether the regional water flow velocity simulation value, regional water flow flow simulation value, and regional water flow water level simulation value of each river area obtained by simulation are respectively consistent with the corresponding regional water flow velocity value, regional water flow flow value, and regional water flow water level value; if there is a river area where the regional water flow velocity simulation value does not meet the corresponding regional water flow velocity value, then the regional water flow velocity simulation value and the regional water flow velocity value are averaged to obtain the regional water flow velocity adjustment value, and the boundary conditions of the middle section of the river are updated at the same time; if there is a river area where the regional water flow flow simulation value does not meet the corresponding regional water flow flow value, then the regional water flow flow simulation value and the regional water flow flow value are averaged to obtain the regional water flow flow adjustment value, and the boundary conditions of the middle section of the river are updated at the same time; if there is a river area where the regional water flow water level simulation value does not meet the corresponding regional water flow water level value, then the regional water flow water level simulation value and the regional water flow water level value are averaged to obtain the regional water flow water level adjustment value, and the boundary conditions of the middle section of the river are updated at the same time.

[0043] In this implementation, this method allows the model to be dynamically adjusted based on actual measurements and simulation results, thereby improving the adaptability of the model. Through careful adjustments, the model can reflect changes in the real world, making the simulation results more accurate and reliable. Mean analysis of the simulated values ​​and comparison with actual measurements help to accurately adjust the model output. This method reduces errors and ensures consistency between simulated data and actual observations, thereby improving the prediction accuracy of the overall model. By adjusting the simulation parameters to match actual water flow conditions, water resources can be more effectively predicted and managed, especially in flood prevention and drought management. This improvement in prediction directly affects the efficiency of emergency response plans and resource allocation, reducing potential risks and costs. By updating the model parameters in real time to reflect the latest hydrological conditions, this method provides the ability to dynamically adjust the model, which is of great value in responding to rapidly changing environmental conditions, such as extreme weather events caused by climate change. By integrating and analyzing water flow data from various regions, this method can fully capture the complex interactions and water flow dynamics of the river system. This comprehensive improvement enables the model to provide support in many aspects, including environmental impact assessments, urban planning, and the formulation of flood control measures.

[0044] See also Figure 3, an embodiment of the present invention provides a technical solution: a hydrodynamic three-dimensional model construction system based on digital twin rendering, comprising: a data acquisition module, a data analysis module, a model construction module, and a simulation adjustment module; the data acquisition module is used to obtain historical water flow data and river geographic information of a river, the historical water flow data includes historical river entrance state data, historical river middle section state data, and historical river outlet state data, and the river geographic information includes river boundary information and riverbed information; the data analysis module is used to perform data analysis on the historical water flow data and riverbed information of the river respectively, and obtain river entrance boundary conditions, river middle section boundary conditions, river outlet boundary conditions, and riverbed parameter data sets; the model construction module is used to establish a river three-dimensional model based on the river boundary information and the riverbed parameter data set; the simulation adjustment module is used to perform hydrodynamic simulation on the river three-dimensional model based on the river entrance boundary conditions, river middle section boundary conditions, and river outlet boundary conditions, and evaluate and adjust the hydrodynamic simulation results until the river three-dimensional model meets the expected standards.

[0045] In summary, this application has at least the following effects: By integrating historical water flow data and detailed geographic information to build a three-dimensional model and iteratively optimizing it, the model's predictive accuracy can be improved. Moreover, the iterative optimization process allows the model to adapt to environmental changes and unforeseen hydrological events, thereby enhancing the model's applicability and flexibility in practical applications, making it suitable for dynamic and complex water environments, enabling decision makers to formulate water resources management strategies based on the most accurate simulation results.

[0046] Accurate models can effectively predict the response of rivers and reduce overconstruction and waste of resources caused by prediction errors. In addition, through the digital twin rendering method, design defects and potential problems can be foreseen before the initial completion of the model, so that adjustments can be made before actual construction. This not only reduces construction costs, but also shortens the project cycle, accelerates the return on investment, and ultimately improves the economic benefits of the entire project.

[0047] By using digital twin models based on actual data for hydrodynamic simulation, river management becomes more flexible and responsive, especially under extreme weather conditions. Accurate models can predict the impact of natural events such as floods and droughts, so that measures can be taken in advance to reduce disaster losses. In addition, continuous monitoring and simulation also ensure the safe operation of water conservancy facilities, protect people’s lives and property, and the water ecological environment.

[0048] An integrated platform is formed through the data acquisition module, data analysis module, model building module and simulation adjustment module, which enables seamless data flow between various departments and teams. This integrated workflow not only reduces time delays in data processing and model building, but also helps decision makers quickly and accurately obtain key information by providing a unified, real-time updated view, thereby making more scientific and timely management decisions.

[0049] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0050] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for constructing a hydrodynamic three-dimensional model based on digital twin rendering, characterized in that: The following steps are involved: Acquire historical water flow data and river geographic information of the river, wherein the historical water flow data includes historical river entrance status data, historical river middle section status data, and historical river exit status data, and the river geographic information includes river boundary information and riverbed information; The historical water flow data and riverbed information of the river are analyzed to obtain the river inlet boundary conditions, river middle section boundary conditions, river outlet boundary conditions and riverbed parameter data sets; Establish a three-dimensional river model based on river boundary information and riverbed parameter datasets; The hydrodynamic simulation of the three-dimensional river model is carried out based on the boundary conditions of the river inlet, the middle section of the river, and the river outlet, and the hydrodynamic simulation results are evaluated and adjusted until the three-dimensional river model meets the expected standards.

2. The method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to claim 1, characterized in that: The historical river entrance state data specifically includes the inlet cross-sectional area value of the upstream river entrance and the historical inlet water flow velocity measurement value and the historical inlet water flow level measurement value at each measurement position; the historical river middle section state data specifically includes the regional cross-sectional area value of each river area of ​​the river and the historical regional water flow velocity measurement value and the historical regional water flow level measurement value at each measurement position; the historical river outlet state data specifically includes the outlet cross-sectional area value of the upstream river outlet and the historical outlet water flow velocity measurement value and the historical outlet water flow level measurement value at each measurement position; the river boundary information specifically includes the two sides of the river. The three-dimensional coordinate information of each coordinate point of the boundary, the riverbed information is specifically the riverbed height measurement value of each riverbed area measured each time, the river entrance boundary condition includes the inlet water flow velocity value, inlet water flow flow value, and inlet water flow level value of the upstream entrance of the river, the middle river boundary condition includes the regional water flow velocity value, regional water flow flow value, and regional water flow level value of each river area of ​​the river, the river outlet boundary condition includes the outlet water flow velocity value, outlet water flow flow value, and outlet water flow level value of the downstream outlet of the river, and the riverbed parameter data set is specifically the mean riverbed height value of each riverbed area.

3. The method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to claim 2 is characterized in that: The specific steps to obtain the boundary conditions of the river entrance, the middle section of the river, and the river outlet are as follows: Read the historical inlet water flow velocity measurement values, the historical inlet water flow level measurement values ​​at each measuring position of the upstream inlet of the river, the historical regional water flow velocity measurement values, the historical regional water flow level measurement values ​​at each measuring position of each river region of the river, the historical outlet water flow velocity measurement values, the historical outlet water flow level measurement values ​​at each measuring position of the upstream outlet of the river, and perform preprocessing; The historical inlet water flow velocity measurement values, the historical inlet water flow level measurement values, the historical regional water flow velocity measurement values, the historical regional water flow level measurement values, and the historical outlet water flow velocity measurement values ​​and the historical outlet water flow level measurement values ​​of each measurement position of the upstream outlet of the river after preprocessing are respectively analyzed in combination with the weighted average method to obtain the inlet water flow velocity value and the inlet water flow level value of the upstream inlet of the river, the regional water flow velocity value and the regional water flow level value of each river area of ​​the river, and the outlet water flow velocity value and the outlet water flow level value of the downstream outlet of the river; Based on the inlet cross-sectional area value of the upstream inlet of the river, the regional cross-sectional area value of each river area of ​​the river, the outlet cross-sectional area value of the upstream outlet of the river, and the historical inlet water flow velocity measurement values ​​of each measuring position of the upstream inlet of the river after preprocessing, the historical regional water flow velocity measurement values ​​of each measuring position of each river area of ​​the river, and the historical outlet water flow velocity measurement values ​​of each measuring position of the upstream outlet of the river, and a comprehensive analysis is performed in combination with the mean method to obtain the inlet water flow rate value of the upstream inlet of the river, the regional water flow rate value of each river area of ​​the river, and the outlet water flow rate value of the downstream outlet of the river.

4. The method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to claim 3 is characterized in that: The specific formulas for calculating the regional water flow velocity value, regional water flow flow value, and regional water flow water level value for each river area of ​​the river are as follows: ； in, For the river The regional water flow velocity value of the river area, For the river The river area Historical regional water velocity measurements at each measurement location, For the river The river area The weighting coefficient of the historical regional water flow velocity measurements at each measurement location, For the river The regional water level value of the river area, For the river The river area Historical regional stream level measurements at each measurement location, For the river The river area The weighting coefficient of the historical regional water level measurement values ​​at each measurement location, For the river The regional water flow velocity value of the river area, For the river The regional cross-sectional area value of the river region, , is the number of river areas, , is the number of measurement locations within the river area.

5. The method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to claim 2, characterized in that: The specific steps to obtain the riverbed parameter data set are as follows: for each riverbed area, combined with the moving exponential average method, the riverbed height measurement values ​​measured each time are analyzed for mean values ​​to obtain the mean riverbed height of each riverbed area.

6. The method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to claim 5 is characterized in that: The specific formula for calculating the mean riverbed height of each riverbed area is as follows: ； in, For the The average riverbed height of the riverbed area is For the The riverbed area The riverbed height measurement value of the measurement, For the The riverbed area The weighting factor of the riverbed height measurement value of the second measurement, For the The riverbed area The riverbed height measurement value of the measurement, For the The riverbed area The weighting factor of the riverbed height measurement value of the second measurement, is a natural constant, , is the number of riverbed areas, , The number of measurements for the riverbed height measurements.

7. The method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to claim 2, characterized in that: The specific steps for building a 3D river model based on river boundary information and riverbed parameter datasets are as follows: Perform regional connection processing on the mean riverbed height of each riverbed area to obtain riverbed topographic information; The three-dimensional coordinate information of each coordinate point on the two boundaries of the river and the mean riverbed height of each riverbed area are imported into the pre-selected digital twin engine to establish a three-dimensional model of the river and perform digital twin rendering processing.

8. The method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to claim 2, characterized in that: The specific steps for conducting hydrodynamic simulation on the three-dimensional river model based on the boundary conditions of the river inlet, the middle section of the river, and the river outlet, and evaluating and adjusting the hydrodynamic simulation results until the three-dimensional river model meets the expected standards are as follows: Taking each river region of the river as a simulation grid cell of the three-dimensional river model; The river inlet boundary conditions, river middle section boundary conditions, and river outlet boundary conditions are used as simulation parameters; executing a hydrodynamic rendering simulation on a simulation grid cell of the three-dimensional model of the river, that is, executing a hydrodynamic rendering simulation on each river region of the river; Summarize the simulation results of each river area to obtain the regional water flow velocity simulation value, regional water flow rate simulation value, and regional water flow level simulation value of each river area; The simulated values ​​of regional water flow velocity, regional water flow volume and regional water flow level of each river area are evaluated and analyzed with the corresponding historical parameters, and the parameters of the three-dimensional river model are adjusted according to the evaluation and analysis; The adjusted three-dimensional river model is iteratively simulated, and the evaluation analysis and parameter adjustment steps are repeated until the three-dimensional river model meets the expected standards.

9. The method for constructing a hydrodynamic three-dimensional model based on digital twin rendering according to claim 8, characterized in that: The specific steps for adjusting the parameters of the three-dimensional river model based on the evaluation analysis are as follows: Determine whether the simulated regional water flow velocity simulation value, regional water flow flow simulation value, and regional water flow water level simulation value of each river area respectively meet the corresponding regional water flow velocity value, regional water flow flow value, and regional water flow water level value; If there is a river area where the regional water flow velocity simulation value does not conform to the corresponding regional water flow velocity value, the regional water flow velocity simulation value and the regional water flow velocity value are averaged to obtain the regional water flow velocity adjustment value, and the boundary conditions of the middle section of the river are updated at the same time; If there is a river area where the regional water flow simulation value does not match the corresponding regional water flow value, the regional water flow simulation value and the regional water flow value are averaged to obtain the regional water flow adjustment value, and the boundary conditions of the middle section of the river are updated at the same time; If there is a river area where the regional water flow water level simulation value does not conform to the corresponding regional water flow water level value, the regional water flow water level simulation value and the regional water flow water level value are averaged to obtain the regional water flow water level adjustment value, and the boundary conditions of the middle section of the river are updated at the same time.

10. A hydrodynamic three-dimensional model construction system based on digital twin rendering, applying the hydrodynamic three-dimensional model construction method based on digital twin rendering according to any one of claims 1 to 9, characterized in that: include: Data acquisition module, data analysis module, model building module, simulation adjustment module; The data acquisition module is used to acquire historical water flow data and river geographic information of the river, wherein the historical water flow data includes historical river entrance status data, historical river middle section status data, and historical river exit status data, and the river geographic information includes river boundary information and riverbed information; The data analysis module is used to analyze the historical water flow data and riverbed information of the river, and obtain the river inlet boundary conditions, the river middle section boundary conditions, the river outlet boundary conditions, and the riverbed parameter data set; The model building module is used to build a three-dimensional river model based on river boundary information and riverbed parameter data sets; The simulation adjustment module is used to perform hydrodynamic simulation on the three-dimensional river model based on the river inlet boundary conditions, the river middle section boundary conditions, and the river outlet boundary conditions, and evaluate and adjust the hydrodynamic simulation results until the three-dimensional river model meets the expected standards.

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