A flood prevention decision-making method and system based on water power model interactive deduction

Abstract

The application relates to the technical field of flood prevention, and discloses a flood prevention decision-making method and system based on water power model interaction deduction, which comprises the following steps: building an integrated three-dimensional visualization bottom plate under a flood evolution three-dimensional scene, registering water power data obtained by a water power model under the flood evolution three-dimensional scene based on the integrated three-dimensional visualization bottom plate, generating a flood evolution time sequence grayscale graph sequence, optimizing picture transition effects, generating a continuous and smooth flood evolution three-dimensional scene, interactively laying flood prevention intervention components, setting size and operation condition parameter of the flood prevention intervention components according to flood prevention dispatching requirements, determining an effective time, and taking the flood prevention intervention components as a candidate flood prevention decision; inputting the candidate flood prevention decision into the water power model, driving recalculation of the water power data, generating a flood evolution three-dimensional scene superimposed with the candidate flood prevention decision; and if the flood evolution three-dimensional scene superimposed with the candidate flood prevention decision meets flood prevention requirements, taking the candidate flood prevention decision as a final flood prevention decision and outputting the final flood prevention decision.

Description

Technical Field

[0001] This invention relates to the field of water conservancy and flood control technology, specifically to a flood control decision-making method and system based on interactive deduction of hydrodynamic models. Background Technology

[0002] In current flood control work, hydrodynamic simulations largely rely on traditional two-dimensional charts or static data displays, which cannot achieve dynamic simulation of flood processes and suffer from poor intuitiveness and low visualization. Although some hydrodynamic simulation systems have three-dimensional display capabilities, they are highly dependent on the grid and must strictly match the hydrodynamic grid topology. Different grid systems, such as regular square grids, irregular triangular grids, and arbitrary polygons, as well as their corresponding multi-source data, are incompatible. This makes it difficult to share historical simulation results accumulated by different departments and projects. Often, flood control simulations for a new region require rebuilding the grid from scratch and importing data, with the preliminary preparation period taking several days or even weeks, which is completely unable to keep up with the response time to sudden emergencies during the flood season.

[0003] Furthermore, existing hydrodynamic models lack interactive functionality for flood control measures, making it impossible to flexibly configure and adjust the parameters and boundary positions of flood control intervention components. They also cannot quickly generate comparative solutions after intervention measures are implemented. Technicians must repeatedly modify the model's underlying parameters and rerun the entire simulation process, making it impossible to achieve interactive decision-making by "adjusting and observing the effects simultaneously" at the emergency site. Additionally, sunken spaces such as tunnels, underground parking garages, and underground passages are simplified in the hydrodynamic model, failing to accurately simulate the timing of rainwater intrusion into these spaces and the rate of water level rise—key risk information.

[0004] The verification of flood control measures often relies on manual calculations and paper-based simulations, which are inefficient and make it difficult to predict the effectiveness of the measures. When faced with simultaneous emergencies in multiple areas, manual methods struggle to account for the cumulative effects of different measures and cannot identify potential conflicts between them in advance, resulting in flood control measures failing to achieve the expected results after implementation. Summary of the Invention

[0005] To address the problems existing in the prior art, this invention provides a flood control decision-making method and system based on interactive hydrodynamic model simulation, which solves the problems of insufficient intuitiveness, poor interactivity, difficulty in grid compatibility, lack of sinking coverage and low decision-making efficiency in current hydrodynamic simulation, and provides scientific, efficient, intuitive and accurate technical support for water conservancy planning, flood control and disaster reduction and urban waterlogging management.

[0006] To achieve the above technical objectives, the present invention adopts the following technical solution:

[0007] A flood control decision-making method based on interactive hydrodynamic model simulation includes the following steps: Step S1: Integrate digital elevation model, oblique photogrammetry real-scene image and 3D solid model of building to build an integrated 3D visualization base plate covering the subsided space in the 3D scene of flood evolution; Step S2: Register the hydrodynamic data obtained from different hydrodynamic models in the three-dimensional flood evolution scenario based on the integrated three-dimensional visualization base to generate a sequence of grayscale images of flood evolution time series; Step S3: Optimize the image transition effect of the flood evolution time-series grayscale image sequence through inter-frame bidirectional displacement interpolation to generate a continuous and smooth three-dimensional scene of flood evolution; Step S4: In the continuous and smooth three-dimensional scene of flood evolution, interactively deploy flood control intervention components, complete the size and operating condition parameter settings of the flood control intervention components according to the flood control scheduling requirements, and determine the effective time of each flood control intervention component as a candidate flood control decision; Step S5: Input the candidate flood control decisions into the hydrodynamic model to drive the recalculation of hydrodynamic data. Repeat steps S2-S3 to generate a three-dimensional flood evolution scene with candidate flood control decisions superimposed. Step S6: If the three-dimensional flood evolution scenario of the superimposed candidate flood control decisions meets the flood control requirements, the candidate flood control decision is output as the final flood control decision; otherwise, the candidate flood control decision is adjusted and step S5 is repeated.

[0008] Further, step S1 includes the following sub-steps: Step S1.1: Using the digital elevation model as the terrain base, unify the global spatial coordinate system and elevation benchmark in the three-dimensional flood evolution scenario, and determine the terrain undulation framework in the three-dimensional flood evolution scenario; Step S1.2: The oblique photogrammetric real-scene image is used to complete the texture attachment and spatial alignment under the terrain undulation framework according to the coordinate and elevation matching rules, so as to restore the real landform. Step S1.3: Import the 3D solid model of the building, and complete the point calibration, elevation connection and spatial fusion according to the global spatial coordinate system under the 3D flood evolution scenario to obtain the integrated 3D visualization base plate under the 3D flood evolution scenario.

[0009] Further, step S2 includes the following sub-steps: Step S2.1: Standardize and analyze the hydrodynamic data obtained from different hydrodynamic models in the three-dimensional flood evolution scenario and convert the grid format to obtain hydrodynamic data with a unified grid format; Step S2.2: Map the hydrodynamic data in a unified grid format to the global spatial coordinate system of the integrated 3D visualization base plate, and perform elevation benchmark matching to obtain the registered hydrodynamic data; Step S2.3: Map the registered hydrodynamic data into a flood grayscale texture, generate a flood evolution grayscale map sequence frame by frame according to the step size of the hydrodynamic model simulation, sort them according to the timestamp, and obtain a flood evolution time series grayscale map sequence.

[0010] Furthermore, the hydrodynamic data standardized and analyzed in step S2.1 includes: water flow motion attribute data and grid topology information, wherein the grid topology information includes: grid point coordinates and grid cell surface relationships, and the water flow motion attribute data includes: water level, water depth, planar velocity vector, flow direction and unit width flow rate at each grid point coordinate.

[0011] Furthermore, the specific process of mapping the registered hydrodynamic data into flood grayscale texture in step S2.3 is as follows: Create a blank grayscale canvas that perfectly matches the spatial resolution of the integrated 3D visualization base, where each pixel in the blank grayscale canvas corresponds one-to-one with the geographic coordinates of the global spatial coordinate system. Extreme value statistics are performed on each dimension of the registered water flow motion attribute data. According to the linear mapping rule, the water flow motion attribute data of each dimension is converted into grayscale values ​​in the range of 0~255 to obtain the multi-channel grayscale texture of each grid point coordinate. The multi-channel grayscale texture of each grid point coordinate is used to construct a continuous hydraulic property distribution surface in the three-dimensional scene of flood evolution using spatial interpolation. The continuous hydraulic property distribution surface is then resampled and discretized according to the spatial resolution of the integrated three-dimensional visualization base plate to generate a multi-channel grayscale texture that corresponds one-to-one with each pixel, thus obtaining a grayscale texture-filled canvas. In a grayscale texture-filled canvas, the water depth grayscale in the multi-channel grayscale texture is superimposed with the elevation of the integrated 3D visualization base plate to simulate the undulation of the flood water surface and obtain the flood grayscale texture.

[0012] Furthermore, step S3 includes the following sub-steps: Step S3.1: Extract the water surface transition interval between two adjacent frames of flood grayscale texture from the flood evolution time-series grayscale image sequence, obtain the planar flow velocity vector of the water surface transition interval and the time interval between two adjacent frames, and calculate the displacement of each pixel. Step S3.2: Using the water surface area of ​​the previous frame in the two adjacent frames as a reference, accumulate the displacement pixel by pixel along the direction of the planar flow velocity vector to generate a temporary grayscale texture of the forward evolution of the flood. Step S3.3: Using the water surface range of the next frame in the two adjacent frames as a reference, accumulate the displacement pixel by pixel along the opposite direction of the planar flow velocity vector to generate a temporary grayscale texture of the flood's reverse evolution. Step S3.4: Normalize the time interval between the two adjacent frames according to the number of interpolation steps of the water surface transition interval, and use it as the weight coefficient of the temporary grayscale texture of the flood forward evolution. Perform weighted fusion on the temporary grayscale texture of the flood forward evolution and the temporary grayscale texture of the flood backward evolution to obtain the intermediate grayscale texture of the flood evolution under each interpolation step. Step S3.5: Sort the intermediate grayscale textures of the flood evolution according to the timestamps and insert them into the sequence of grayscale images of the flood evolution time series to obtain a continuous and smooth three-dimensional scene of the flood evolution.

[0013] Furthermore, the flood control intervention components include one or more of the following: a water-blocking plate, a water pump, a gate, a retention pond, and a foundation pit; in: The waterproofing board needs to be specified in terms of its installation area, size, and effective time. The water pump needs to be set with deployment area, pumping speed, activation water level and activation time. The gate needs to be set with a deployment area, size, and effective time; The retention pond needs to be configured with its deployment area, bottom height, weir height, and effective time. The foundation pit needs to specify the layout area, gate height, closing water level, cofferdam height, and effective time.

[0014] Furthermore, the present invention also provides a flood control decision-making system based on hydrodynamic model interactive simulation, including: a three-dimensional visualization base plate construction module, a hydrodynamic model calculation module, a time series simulation engine module, a flood control interference component interaction module, and a flood control decision output module; The three-dimensional visualization base plate construction module is used to integrate digital elevation models, oblique photogrammetry images and three-dimensional solid models of buildings to build an integrated three-dimensional visualization base plate in the three-dimensional scene of flood evolution. The hydrodynamic model calculation module is used to calculate hydrodynamic data in a three-dimensional flood evolution scenario using a hydrodynamic model, including: flood control decision-making scenarios without candidates and flood control decision-making scenarios with candidates. The time-series simulation engine module is used to register hydrodynamic data based on an integrated three-dimensional visualization base, generate a sequence of grayscale images of flood evolution time series, optimize the screen transition effect of the sequence of grayscale images of flood evolution time series, and generate a continuous and smooth three-dimensional scene of flood evolution. The flood control intervention component interaction module is used to interactively deploy flood control intervention components in a continuous and smooth three-dimensional flood evolution scenario, complete the setting of the size and operating condition parameters of the flood control intervention components according to the flood control scheduling requirements, and determine the effective time of each flood control intervention component as a candidate flood control decision. The flood control decision output module is used to output flood control decisions that meet flood control requirements.

[0015] Compared with the prior art, the present invention has the following beneficial effects: (1) This invention integrates digital elevation model, oblique photogrammetry real scene image and building three-dimensional solid model to build an integrated three-dimensional visualization base plate in the three-dimensional scene of flood evolution. It can completely restore the fine features of the sinking space, thereby accurately simulating the rainwater backflow sequence and the internal water level rise rate, filling the blind spot of waterlogging risk identification. (2) This invention generates a sequence of grayscale images of flood evolution time series by standardizing and analyzing, converting grid format, spatially registering and mapping the hydrodynamic data obtained from different hydrodynamic models in the three-dimensional scene of flood evolution, and optimizing the screen transition effect by inter-frame bidirectional displacement interpolation, thus completely getting rid of the limitations of traditional two-dimensional chart static display and realizing continuous smooth dynamic visualization of the flood evolution process. (3) In the continuous and smooth three-dimensional scene of flood evolution, the present invention interactively deploys flood control interference components. The position, size, operating conditions and effective time of the flood control interference components can be flexibly adjusted. Without modifying the underlying parameters of the model, the three-dimensional scene of flood evolution with superimposed flood control decision can be quickly generated. While realizing interactive decision-making, it completely replaces the inefficient mode of traditional manual calculation and paper-based simulation, and greatly improves the efficiency of flood control decision-making.

[0016] In summary, this invention solves the problems of insufficient intuitiveness, poor interactivity, difficulty in grid compatibility, lack of sinking coverage, and low decision-making efficiency in current hydrodynamic simulations, providing scientific, efficient, intuitive, and accurate technical support for water conservancy planning, flood control and disaster reduction, and urban waterlogging management. Attached Figure Description

[0017] Figure 1 This is a flowchart of the flood control decision-making method based on interactive hydrodynamic model deduction of the present invention; Figure 2 This is a schematic diagram of the flood control decision-making system based on interactive hydrodynamic model simulation of the present invention. Detailed Implementation

[0018] The technical solution of the present invention will be further explained and described below with reference to the accompanying drawings.

[0019] like Figure 1 This is a flowchart of the flood control decision-making method based on interactive hydrodynamic model simulation of the present invention. The flood control decision-making method includes the following steps: Step S1: Integrate digital elevation models, oblique photogrammetry images, and 3D solid models of buildings to construct an integrated 3D visualization platform covering macro-basins, micro-urban areas, and sunken spaces such as tunnels and underground parking garages in a 3D flood evolution scenario. This platform can fully reproduce the fine features of sunken spaces, thereby accurately simulating the timing of rainwater backflow and the rate of internal water level rise, filling the blind spots in the identification of urban flooding risks. At the same time, it provides a unified visual operating platform for subsequent hydrodynamic simulation, flood control interference component deployment, and effect display.

[0020] Step S1 includes the following sub-steps: Step S1.1: Using the digital elevation model as the terrain base, unify the global spatial coordinate system and elevation benchmark in the three-dimensional flood evolution scenario, determine the terrain undulation framework in the three-dimensional flood evolution scenario, provide an accurate benchmark for matching the elevation attributes of the subsidence space, and avoid the problem of water level benchmark misalignment in the subsequent hydrodynamic model simulation process; Step S1.2: The oblique photography real-scene image is used to complete the texture attachment and spatial alignment under the terrain undulation framework according to the coordinate and elevation matching rules, so as to restore the real landform and accurately capture the terrain details of the entrance and exit of the sunken space, providing a real-scene spatial basis for the accurate deduction of the rainwater backflow path. Step S1.3: Import the 3D solid model of the building, and complete the point calibration, elevation connection and spatial fusion according to the global spatial coordinate system under the 3D flood evolution scenario to obtain an integrated 3D visualization base plate under the 3D flood evolution scenario. The internal structure of the sunken space can be completely incorporated into the integrated 3D visualization base plate, breaking the limitations of the traditional 2D model in simplifying the sunken space.

[0021] Step S2: Register the hydrodynamic data obtained from different hydrodynamic models in the three-dimensional flood evolution scenario based on the integrated three-dimensional visualization base, eliminate the adaptation differences between multiple types of data, generate a sequence of grayscale maps of flood evolution time series, ensure the compatibility and interoperability of multi-scale data of watershed and city, and thus realize the unified rendering of multi-source hydrodynamic data.

[0022] Step S2 includes the following sub-steps: Step S2.1: Standardize and analyze the hydrodynamic data obtained from different hydrodynamic models in the three-dimensional flood evolution scenario and convert the grid format to obtain hydrodynamic data with a unified grid format that is compatible with various grid shapes such as regular squares, irregular triangular meshes, and arbitrary polygons. The standardized hydrodynamic data in this invention includes: water flow motion attribute data and grid topology information. The grid topology information includes: grid point coordinates and grid cell surface relationships. The water flow motion attribute data includes: water level, water depth, planar velocity vector, flow direction, and unit width flow rate at each grid point coordinate.

[0023] Step S2.2: Map the hydrodynamic data in a unified grid format to the global spatial coordinate system of the integrated 3D visualization base plate, and perform elevation benchmark matching to obtain registered hydrodynamic data. This ensures that the hydrodynamic data is completely unified with the spatial position and elevation of the integrated 3D visualization base plate, avoiding the problem of misalignment between the flood layer and the terrain and building entities. Step S2.3: Map the registered hydrodynamic data into a flood grayscale texture. Generate a flood evolution grayscale map sequence time-series according to the step size of the hydrodynamic model simulation. Sort the sequence according to the timestamp to obtain the flood evolution time-series grayscale map sequence, which greatly reduces the rendering performance overhead in large scenes.

[0024] The specific process of mapping registered hydrodynamic data into flood grayscale texture in this invention is as follows: Create a blank grayscale canvas that perfectly matches the spatial resolution of the integrated 3D visualization base. Each pixel in the blank grayscale canvas corresponds one-to-one with the geographic coordinates of the global spatial coordinate system, thereby avoiding spatial misalignment between hydrodynamic data and the integrated 3D visualization base from the source and ensuring the positional accuracy of flood rendering. Extreme value statistics are performed on each dimension of the registered water flow motion attribute data. According to the linear mapping rule, the water flow motion attribute data of each dimension is converted into grayscale values ​​in the range of 0~255 to obtain the multi-channel grayscale texture of each grid point coordinate. The multi-channel grayscale texture of each grid point coordinate is used to construct a continuous hydraulic property distribution surface in the three-dimensional scene of flood evolution using spatial interpolation. The continuous hydraulic property distribution surface is then resampled and discretized according to the spatial resolution of the integrated three-dimensional visualization base plate to generate a multi-channel grayscale texture that corresponds one-to-one with each pixel. This results in a grayscale texture filling the canvas, which completely eliminates the blank gaps between discrete grids and achieves full-domain continuity of the flood dynamic effect. In the grayscale texture-filled canvas, the water depth grayscale in the multi-channel grayscale texture is superimposed with the elevation of the integrated 3D visualization base plate to simulate the undulation of the flood water surface and obtain the flood grayscale texture. This can dynamically restore the natural shape of the flood water surface as it undulates with the terrain, greatly improving the realism of the 3D scene of flood evolution.

[0025] Step S3: Optimize the transition effects of the flood evolution time-series grayscale image sequence through inter-frame bidirectional shift interpolation, generating a continuous and smooth 3D scene of flood evolution. This completely overcomes the limitations of traditional static 2D charts and achieves continuous, smooth, and dynamic visualization of the flood evolution process. This includes the following sub-steps: Step S3.1: Extract the water surface transition interval between two adjacent frames of flood grayscale texture from the flood evolution time-series grayscale image sequence, obtain the planar flow velocity vector of the water surface transition interval and the time interval between two adjacent frames, and calculate the displacement of each pixel. Step S3.2: Using the water surface area of ​​the previous frame in two adjacent frames as a reference, accumulate the displacement pixel by pixel along the direction of the planar flow velocity vector to generate a temporary grayscale texture of the forward evolution of the flood. Step S3.3: Using the water surface range of the next frame in two adjacent frames as a reference, accumulate the displacement pixel by pixel along the opposite direction of the planar flow velocity vector to generate a temporary grayscale texture of the flood's reverse evolution. Step S3.4: Normalize the time interval between two adjacent frames according to the number of interpolation steps in the water surface transition interval, and use it as the weight coefficient of the temporary grayscale texture of the flood forward evolution. Perform weighted fusion on the temporary grayscale texture of the flood forward evolution and the temporary grayscale texture of the flood backward evolution to obtain the intermediate grayscale texture of the flood evolution under each interpolation step. Step S3.5: Sort the intermediate grayscale textures of the flood evolution according to the timestamp and insert them into the sequence of grayscale images of the flood evolution time series to obtain a continuous and smooth three-dimensional scene of the flood evolution. This achieves continuous and smooth flow between the grayscale textures of the flood in two adjacent frames, and the grayscale texture of the flood at each time series point completely matches the original data. It will not destroy the original data due to the simulated flow effect, and only fills the water surface transition interval without data, thereby eliminating the hard switching problem caused by discrete time series.

[0026] Step S4: In the continuous and smooth three-dimensional scene of flood evolution, interactively deploy flood control intervention components, complete the size and operating condition parameter settings of the flood control intervention components according to the flood control scheduling requirements, and determine the effective time of each flood control intervention component as a candidate flood control decision.

[0027] The flood control intervention components of this invention include one or more of the following: a water-blocking plate, a water pump, a gate, a retention pond, and a foundation pit; wherein: the water-blocking plate is generated by connecting two points, requiring the setting of the deployment area, size, and effective time; the water-blocking plate is a flexible temporary water-blocking facility that can be quickly deployed in streets, alleys, and entrances to sunken spaces to directly block the overflow path of rainwater, accurately intercept water inflow into local areas, prevent rainwater from entering sunken spaces, and specifically fill the gap in flood control in small areas; the water pump is generated by connecting a pumping point and a drainage point, requiring the setting of the deployment area, pumping speed, activation water level, and effective time; the water pump is an active drainage facility that can quickly transport and discharge accumulated water, significantly reducing the rate of water level rise in local areas, and quickly dissipating existing waterlogging, suitable for emergency drainage in sunken spaces and low-lying areas; the gate... The process involves generating a baseline and upstream / downstream points, requiring the setting of deployment area, size, and effective time. The gate, by controlling its opening and closing, regulates the river's flow rate, preventing the risk of overtopping caused by excessive water levels in local river sections. A retention pond, generated through polygonal closure, serves as a water storage area, requiring the setting of deployment area, pond bottom height, weir height, and effective time. Retention ponds are storage facilities that can temporarily collect excess rainwater during heavy rains, reducing downstream flood peak flow, delaying rainwater discharge, and preventing instantaneous excessive flow pressure in downstream river channels, thus reducing the probability of downstream flooding from the source. A foundation pit, generated through the main body, river points, and pit points, requires the setting of deployment area, gate height, closing water level, weir height, and effective time. The foundation pit serves as an emergency water storage space, temporarily diverting accumulated water for storage and preventing its spread to surrounding areas. The flood control interference component in this invention supports 3D click drawing, real-time editing, deletion, and adaptive scene view distance scaling to adapt to both watershed management and urban drainage engineering scenarios.

[0028] Step S5: Input the candidate flood control decisions into the hydrodynamic model to drive the recalculation of hydrodynamic data. Repeat steps S2-S3 to generate a three-dimensional flood evolution scene with candidate flood control decisions superimposed.

[0029] Step S6: If the 3D flood evolution scenario overlaid with candidate flood control decisions meets the flood control requirements, the candidate flood control decision is output as the final flood control decision; otherwise, the candidate flood control decision is adjusted, such as adjusting one or more of the deployment location, size, operating conditions, and effective time of the flood control interferometry components, and step S5 is repeated until the flood control requirements are met. This invention, by flexibly adjusting the location, size, operating conditions, and effective time of the flood control interferometry components, can quickly generate a 3D flood evolution scenario overlaid with flood control decisions without modifying the underlying parameters of the model. While achieving interactive decision-making, it completely replaces the inefficient traditional manual calculation and paper-based simulation mode, significantly improving the efficiency of flood control decision-making.

[0030] In one technical solution of the present invention, a timeline is configured in the three-dimensional scene of flood evolution, which supports playback, pause and replay operations of the three-dimensional scene of flood evolution. At the same time, it covers stepless speed adjustment from 0.5 to 2 times and time sequence rollback at specified time nodes, etc., to adapt to the simulation and analysis needs of different scenarios.

[0031] In one technical solution of the present invention, a three-dimensional scene of flood evolution can be compared through a split-screen function, specifically: Select the comparison scheme to enter the left and right dual viewport modes respectively. For example, the left and right viewports will respectively display the 3D scene of flood evolution after flood control intervention and the 3D scene of flood evolution before flood control intervention. The left and right viewports share the same global simulation timeline and establish a two-way binding and linkage control mechanism. When either viewport triggers control commands such as play, pause, speed adjustment and time sequence rollback, the other viewport will execute the same operation synchronously, so as to achieve complete synchronization of simulation progress, running speed and time nodes between the two viewports. The water depth and the range of changes in the flooded area of ​​the comparative schemes are calculated grid by grid at the same time. The comparison results are visualized by using differential heat maps or real water body simulation. Different colors are used to distinguish areas of deepening water, areas of receding water and areas with no change, so as to intuitively present the differences in flood inundation range expansion and water depth changes. It supports the rapid replacement and switching of different types of flood evolution 3D scenes after flood control intervention within a single viewport or left and right dual viewports, intuitively assesses the governance effect and adaptability of various candidate flood control decisions, and assists in screening the final flood control decision scheme.

[0032] like Figure 2 In one technical solution of the present invention, a flood control decision-making system based on hydrodynamic model interactive simulation is also provided, including: a three-dimensional visualization base plate construction module, a hydrodynamic model calculation module, a time series simulation engine module, a flood control interference component interaction module, and a flood control decision output module; The 3D visualization baseboard construction module is used to integrate digital elevation models, oblique photogrammetry images and 3D solid models of buildings to build an integrated 3D visualization baseboard in the 3D scene of flood evolution. The hydrodynamic model calculation module is used to calculate hydrodynamic data in a three-dimensional flood evolution scenario using a hydrodynamic model, including hydrodynamic data calculation in both scenarios with and without candidate flood control decisions. The time series simulation engine module is used to register hydrodynamic data based on an integrated 3D visualization base, generate a sequence of grayscale images of flood evolution time series, optimize the screen transition effect of the sequence of grayscale images of flood evolution time series, generate a continuous and smooth 3D scene of flood evolution, and update the rendering based on surface undulation and water depth in real time to support seamless simulation of the whole scene. The flood control intervention component interaction module is used to interactively deploy flood control intervention components in a continuous and smooth three-dimensional flood evolution scenario. It completes the setting of the size and operating parameters of the flood control intervention components according to the flood control scheduling requirements, and determines the effective time of each flood control intervention component as a candidate flood control decision. The flood control decision output module is used to output flood control decisions that meet flood control requirements.

[0033] This invention overcomes technical bottlenecks such as grid dependence, data heterogeneity, discontinuous water flow, weak engineering interaction, insufficient subsidence coverage, inefficient scheme verification, and non-real-time front-end and back-end interaction. By combining grayscale texture mapping with inter-frame bidirectional displacement interpolation, it achieves full grid compatibility and high-performance rendering. Through inter-frame bidirectional displacement interpolation, it optimizes the screen transition effect of the flood evolution time-series grayscale image sequence to generate continuous and realistic water flow evolution effects. Relying on parameterized flood control interference components, it achieves realistic coupling and fine-grained scheduling of the three-dimensional flood evolution scene. Combined with split-screen synchronous comparison, it achieves intuitive quantitative optimization. At the same time, it realizes integrated full-coverage simulation of macro-basins, micro-cities and subsidence spaces such as tunnels and underground parking garages. It can achieve compatibility and interoperability of multi-source heterogeneous hydrodynamic data, solve the data adaptation problem of different models and different grid systems, improve the efficiency of flood control decision-making and simulation, and provide scientific, efficient, intuitive, and comprehensive technical support for water conservancy planning, flood control and disaster reduction, urban waterlogging management, basin scheduling, and emergency command. It has broad application prospects.

[0034] In one technical solution of the present invention, a computer-readable storage medium is also provided, storing a computer program that enables a computer to execute the flood control decision-making method based on hydrodynamic model interactive deduction of the present invention.

[0035] In one technical solution of the present invention, an electronic device is also provided, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the flood control decision-making method based on hydrodynamic model interactive deduction of the present invention.

[0036] In the embodiments disclosed in this application, a computer storage medium may be a tangible medium that may contain or store programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of computer storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, and portable compact disc read-only memory (CD). ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0037] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0038] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A flood control decision-making method based on interactive hydrodynamic model simulation, characterized in that, Includes the following steps: Step S1: Integrate digital elevation model, oblique photogrammetry real-scene image and 3D solid model of building to build an integrated 3D visualization base plate covering the subsided space in the 3D scene of flood evolution; Step S2: Register the hydrodynamic data obtained from different hydrodynamic models in the 3D flood evolution scenario based on the integrated 3D visualization base to generate a time-series grayscale map sequence of flood evolution, including the following sub-steps: Step S2.1: Standardize and analyze the hydrodynamic data obtained from different hydrodynamic models in the three-dimensional flood evolution scenario and convert the grid format to obtain hydrodynamic data with a unified grid format; Step S2.2: Map the hydrodynamic data in a unified grid format to the global spatial coordinate system of the integrated 3D visualization base plate, and perform elevation benchmark matching to obtain the registered hydrodynamic data; Step S2.3: Map the registered hydrodynamic data into a flood grayscale texture, generate a flood evolution grayscale map sequence frame by frame according to the step size of the hydrodynamic model simulation, sort them according to the timestamp, and obtain the flood evolution time series grayscale map sequence; Step S3: Optimize the scene transition effect of the flood evolution temporal grayscale image sequence through inter-frame bidirectional displacement interpolation to generate a continuous and smooth 3D scene of flood evolution, including the following sub-steps: Step S3.1: Extract the water surface transition interval between two adjacent frames of flood grayscale texture from the flood evolution time-series grayscale image sequence, obtain the planar flow velocity vector of the water surface transition interval and the time interval between two adjacent frames, and calculate the displacement of each pixel. Step S3.2: Using the water surface area of ​​the previous frame in the two adjacent frames as a reference, accumulate the displacement pixel by pixel along the direction of the planar flow velocity vector to generate a temporary grayscale texture of the forward evolution of the flood. Step S3.3: Using the water surface range of the next frame in the two adjacent frames as a reference, accumulate the displacement pixel by pixel along the opposite direction of the planar flow velocity vector to generate a temporary grayscale texture of the flood's reverse evolution. Step S3.4: Normalize the time interval between the two adjacent frames according to the number of interpolation steps of the water surface transition interval, and use it as the weight coefficient of the temporary grayscale texture of the flood forward evolution. Perform weighted fusion on the temporary grayscale texture of the flood forward evolution and the temporary grayscale texture of the flood backward evolution to obtain the intermediate grayscale texture of the flood evolution under each interpolation step. Step S3.5: Sort the intermediate grayscale textures of the flood evolution according to the timestamps and insert them into the sequence of grayscale images of the flood evolution time series to obtain a continuous and smooth three-dimensional scene of the flood evolution. Step S4: In the continuous and smooth three-dimensional scene of flood evolution, interactively deploy flood control intervention components, complete the size and operating condition parameter settings of the flood control intervention components according to the flood control scheduling requirements, and determine the effective time of each flood control intervention component as a candidate flood control decision; Step S5: Input the candidate flood control decisions into the hydrodynamic model to drive the recalculation of hydrodynamic data. Repeat steps S2-S3 to generate a three-dimensional flood evolution scene with candidate flood control decisions superimposed. Step S6: If the three-dimensional flood evolution scenario with superimposed candidate flood control decisions meets the flood control requirements, the candidate flood control decision is output as the final flood control decision. Otherwise, adjust the candidate flood control decision and repeat step S5.

2. The flood control decision-making method based on interactive hydrodynamic model extrapolation according to claim 1, characterized in that, Step S1 includes the following sub-steps: Step S1.1: Using the digital elevation model as the terrain base, unify the global spatial coordinate system and elevation benchmark in the three-dimensional flood evolution scenario, and determine the terrain undulation framework in the three-dimensional flood evolution scenario; Step S1.2: The oblique photogrammetric real-scene image is used to complete the texture attachment and spatial alignment under the terrain undulation framework according to the coordinate and elevation matching rules, so as to restore the real landform. Step S1.3: Import the 3D solid model of the building, and complete the point calibration, elevation connection and spatial fusion according to the global spatial coordinate system under the 3D flood evolution scenario to obtain the integrated 3D visualization base plate under the 3D flood evolution scenario.

3. The flood control decision-making method based on interactive hydrodynamic model deduction according to claim 1, characterized in that, The hydrodynamic data standardized and analyzed in step S2.1 includes: water flow motion attribute data and grid topology information. The grid topology information includes: grid point coordinates and grid cell surface relationships. The water flow motion attribute data includes: water level, water depth, planar velocity vector, flow direction, and unit width flow rate at each grid point coordinate.

4. The flood control decision-making method based on interactive hydrodynamic model deduction according to claim 3, characterized in that, The specific process of mapping the registered hydrodynamic data into flood grayscale texture in step S2.3 is as follows: Create a blank grayscale canvas that perfectly matches the spatial resolution of the integrated 3D visualization base, where each pixel in the blank grayscale canvas corresponds one-to-one with the geographic coordinates of the global spatial coordinate system. Extreme value statistics are performed on each dimension of the registered water flow motion attribute data. According to the linear mapping rule, the water flow motion attribute data of each dimension is converted into grayscale values ​​in the range of 0~255 to obtain the multi-channel grayscale texture of each grid point coordinate. The multi-channel grayscale texture of each grid point coordinate is used to construct a continuous hydraulic property distribution surface in the three-dimensional scene of flood evolution using spatial interpolation. The continuous hydraulic property distribution surface is then resampled and discretized according to the spatial resolution of the integrated three-dimensional visualization base plate to generate a multi-channel grayscale texture that corresponds one-to-one with each pixel, thus obtaining a grayscale texture-filled canvas. In a grayscale texture-filled canvas, the water depth grayscale in the multi-channel grayscale texture is superimposed with the elevation of the integrated 3D visualization base plate to simulate the undulation of the flood water surface and obtain the flood grayscale texture.

5. The flood control decision-making method based on interactive hydrodynamic model deduction according to claim 1, characterized in that, The flood control intervention components include one or more of the following: a water-blocking plate, a water pump, a gate, a retention pond, and a foundation pit; in: The waterproofing board needs to be specified in terms of its installation area, size, and effective time. The water pump needs to be set with deployment area, pumping speed, activation water level and activation time. The gate needs to be set with a deployment area, size, and effective time; The retention pond needs to be configured with its deployment area, bottom height, weir height, and effective time. The foundation pit needs to specify the layout area, gate height, closing water level, cofferdam height, and effective time.

6. A flood control decision-making system based on interactive hydrodynamic model deduction, employing the flood control decision-making method based on interactive hydrodynamic model deduction as described in any one of claims 1-5, characterized in that, include: The system includes a 3D visualization base construction module, a hydrodynamic model calculation module, a time-series simulation engine module, a flood control interference component interaction module, and a flood control decision output module. The three-dimensional visualization base plate construction module is used to integrate digital elevation models, oblique photogrammetry images and three-dimensional solid models of buildings to build an integrated three-dimensional visualization base plate in the three-dimensional scene of flood evolution. The hydrodynamic model calculation module is used to calculate hydrodynamic data in a three-dimensional flood evolution scenario using a hydrodynamic model, including: flood control decision-making scenarios without candidates and flood control decision-making scenarios with candidates. The time-series simulation engine module is used to register hydrodynamic data based on an integrated three-dimensional visualization base, generate a sequence of grayscale images of flood evolution time series, optimize the screen transition effect of the sequence of grayscale images of flood evolution time series, and generate a continuous and smooth three-dimensional scene of flood evolution. The flood control intervention component interaction module is used to interactively deploy flood control intervention components in a continuous and smooth three-dimensional flood evolution scenario, complete the setting of the size and operating condition parameters of the flood control intervention components according to the flood control scheduling requirements, and determine the effective time of each flood control intervention component as a candidate flood control decision. The flood control decision output module is used to output flood control decisions that meet flood control requirements.

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