CN118709389A - A dual-engine driving method for a water conservancy digital twin platform - Google Patents

Abstract

The present invention discloses a dual-engine driving method for a water conservancy digital twin platform, which belongs to the field of water conservancy information technology. The method includes: based on the constructed standardized coding, the same-scale eight-directional spatiotemporal correlation relationship, and the digital twin static visualization scene, a visualization engine for large-scale and medium-scale scene objects driven mainly by GIS and a visualization engine for small-scale and micro-scale scene objects driven mainly by UE are constructed; a three-dimensional driving relationship of water conservancy objects under the dual engines of GIS and UE is constructed to form a multi-dimensional data-driven processing flow; based on the multi-dimensional data-driven processing flow, the background program of GIS and UE dual engines is used to drive various types of model files for calculation, and a visual simulation display is performed according to the calculation results to obtain flood forecast analysis results; based on the flood forecast analysis results, a basin flood risk warning, flood forecast and flood prevention rehearsal are issued. This method can solve the drawbacks of digital twins of a single engine and improve the application level of digital twins in water conservancy.

Description

A dual-engine driving method for a water conservancy digital twin platform

Technical Field

The present invention relates to a dual-engine driving method for a water conservancy digital twin platform, and belongs to the technical field of water conservancy information technology.

Background Art

Based on the development of automation and informatization in the water conservancy industry, the construction of digital twin basins, digital twin projects, and digital twin irrigation areas of smart water conservancy is in full swing, playing an important role in hydrological information monitoring, flood and drought disaster prevention, water resources management, and safety supervision of water conservancy projects. However, in the context of widespread application in the water conservancy industry, the construction of digital twin platforms still has the following problems in digital mapping visualization:

(1) The misunderstanding of replacing digital twins with three-dimensional simulation. Most of the technical applications of the construction of digital twin platforms in the water conservancy industry are based on three-dimensional simulation, and the restoration of the geometric form of water conservancy objects is simply regarded as a digital twin. The characteristics of digital twins such as full time chain, strong information interaction, high restoration fidelity, and excellent intelligent evolution are not considered. As a result, the construction supported by the three-dimensional simulation engine cannot achieve the expected effect of digital twins.

(2) Limitations of a single 3D visualization engine. At the current technical level, the engines that can support digital twins mainly include WebGL and OpenGL. WebGL is mainly based on Cesium, OpenGIS, etc., which is conducive to web access applications and spatial analysis, but has high requirements for network bandwidth, servers, and terminal devices; OpenGL is mainly based on UE series, Unity3D and other game engines, which have realistic operation flow fields and effects, but cannot support a wide range of terminal applications. Therefore, a single 3D visualization engine has major defects in the application of digital twin water conservancy.

(3) The business application depth based on the 3D engine is insufficient. The ultimate goal of digital twin water conservancy construction is to solve actual water conservancy business problems based on business issues such as flood and drought disaster prevention, dynamic allocation of water resources, and safety supervision of water projects. However, the simple 3D scene construction cannot be closely integrated with business needs, and lacks deep integration with water conservancy professional models.

Summary of the invention

The purpose of the present invention is to provide a dual-engine driving method for a water conservancy digital twin platform, which can solve the drawbacks of a single-engine digital twin and improve the application level of digital twin water conservancy.

In order to achieve the above object, the present invention provides the following technical solutions:

In a first aspect, the present invention provides a dual-engine driving method for a water conservancy digital twin platform, comprising:

Construct standardized codes for water conservancy scenes and objects at different scales, and construct eight-directional spatiotemporal correlations of the same scale with water conservancy objects as units;

Fuse multi-source heterogeneous spatial data, upload various types of model files, and build digital twin static visualization scenes;

Based on the standardized coding, the spatiotemporal correlation of the same scale in eight directions, and the digital twin static visualization scene, a visualization engine for large-scale and medium-scale scene objects driven mainly by GIS and a visualization engine for small-scale and micro-scale scene objects driven mainly by UE are constructed;

Construct the three-dimensional driving relationship of water conservancy objects under the dual engines of GIS and UE to form a multi-dimensional data-driven processing flow;

Based on the multi-dimensional data driven processing flow, the GIS and UE dual engines are used to drive the background program to call various types of model files for calculation, and a visual simulation display is performed based on the calculation results to obtain the flood forecast analysis results;

Based on the flood forecast analysis results, basin flood risk warnings, flood forecasts and flood drills are issued.

In combination with the first aspect, further, constructing the same-scale eight-directional spatiotemporal association relationship with water conservancy objects as units includes: recording the corresponding objects of spatial directions X, Y, Z and time directions T1, T2 in the object description, and externally connecting the current object attribute table and object event table, and recording the object behavior and actions at different times through timestamps.

Combined with the first aspect, further, multi-source heterogeneous spatial data is integrated, and various types of model files are uploaded to build a digital twin static visualization scene including:

Carry out large-scale data management, medium-scale BIM data management, and small and medium-scale fine data management for multi-source heterogeneous spatial data;

Upload model files in FBX, RVT, NWC, NWD, DGN, IFC, GLTF, GLB, SKP, RFA, OBJ, and LAS formats for parsing and digital-analog separation, convert each type of model file into a unified scene format, bind and map the corresponding data to the model, and build a digital twin static visualization scene.

Combined with the first aspect, further, when constructing a digital twin static visualization scene, the background and physical environment effects of the three-dimensional scene are set based on the scene requirements and actual conditions, including: setting time, lighting, clouds, fog, rain and snow weather, background color, light and shadow filters, and materials.

Combined with the first aspect, we further build a visualization engine for large and medium-scale scene objects driven by GIS, and perform three-dimensional loading and rendering of watersheds, large projects, and important areas, including:

Generate a full-factor scene baseplate of the visualization model based on the data source of the visualization model;

Add vector data based on management application needs, and restore the buildings, roads, and water systems in the scene on the panoramic feature scene base of the visualization model.

Combined with the first aspect, further, a visualization engine for small and micro-scale scene objects driven mainly by UE is constructed to load and render three-dimensionally typical projects, operation areas, monitoring sections, and information fields, including:

Based on BIM data, a 3D model with consistent appearance, dimensions and construction information is formed, and the number of faces required for rendering is optimized while retaining the basic information of the BIM model;

According to the material and lighting information of the oblique photography image data, the material of the 3D model is optimized and a high-performance rendering visualization model is constructed;

Place the processed main dam visualization model in the visualization model full-factor scene base plate and fit it with the surrounding natural environment data;

For monitoring sites in the entire river basin, micro-scale graphic expressions are used, and POI key information tags are used for display. After being retrieved at the business application layer, a pop-up window is displayed to display the site name and monitoring data;

For core sites in key areas, a high-performance rendering model is built for expression, which can be directly displayed and observed on the digital twin simulation engine.

In combination with the first aspect, further, the multi-dimensional data-driven processing flow includes: data governance, twin scene editing, twin scene rendering, secondary development interface, and model algorithm integration, which can realize full-factor scene loading capability under GIS and UE dual engines, real-time data visualization capability, real-time scene rendering visualization capability, and highly aggregated data multi-dimensional fusion display capability.

In combination with the first aspect, further, the visual simulation display includes:

Visualize the seepage prediction results, deformation prediction results, earthquake impact analysis and mountain tilt prediction results;

According to the dam safety monitoring alarm information, the abnormal monitoring points are labeled and visualized in the digital twin scene, and the camera is automatically focused on the alarm monitoring point to display the spatial position of the alarm object in the digital twin scene;

In the reservoir digital twin scenario, according to the preset engineering safety management plan and under the preset safety event triggering conditions, for situations with structured data, simulation display is carried out in the digital twin scenario; for situations without structured data, the effectiveness and rationality of the implementation of the engineering safety plan are marked through the front end;

Based on the digital twin scene of the reservoir, the hydrological forecast, dam monitoring, and real-time monitoring data of video surveillance are integrated, and the results of the plan given according to the relevant conditions of the project operation are visualized through key information tag POI marking, front-end window display, and three-dimensional space lens calling and focusing.

In a second aspect, the present invention provides a computer system, comprising:

Storage medium: used to store computer programs;

Processor: used to execute the computer program to implement the steps of any method described in the first aspect.

In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect.

In a fourth aspect, the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods described in the first aspect.

Compared with the prior art, the present invention has the following beneficial effects:

The dual-engine driving method of the water conservancy digital twin platform provided by the present invention solves the problems of deep integration, efficient management and visual interaction of multi-dimensional massive data information and models in a GIS and UE dual-engine driving manner, realizes the visual expression of cross-scale water conservancy objects, can solve the drawbacks of digital twins of a single engine, improve the diversified three-dimensional expression method and efficiency of water conservancy objects, and improve the digital mapping application level of the water conservancy digital twin platform. It is oriented to water conservancy application scenarios, integrates the advantages of GIS engine and UE engine, realizes the efficient realization of water conservancy business and the integrated management of multi-source water conservancy data, and thus improves the application level of digital twin water conservancy.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic diagram of a spatiotemporal correlation relationship in eight directions of the same scale provided by an embodiment of the present invention;

FIG2 is a schematic diagram of a multi-source multi-dimensional visualization model construction process provided by an embodiment of the present invention;

3 is a schematic diagram of a three-dimensional driving process of model data provided by an embodiment of the present invention;

4 is a schematic diagram of eight-directional spatiotemporal correlation relationships of the same scale constructed by taking the digital twin of a water conservancy project in a river basin as an example, provided by an embodiment of the present invention;

FIG5 is a schematic diagram of a multi-source heterogeneous spatial data fusion technology path provided by an embodiment of the present invention;

FIG6 is a schematic diagram of layer division of multi-source heterogeneous twin space data provided by an embodiment of the present invention;

FIG7 is a schematic diagram of a visualization model effect of a main dam provided by an embodiment of the present invention;

8 is a schematic diagram of a monitoring site diagram visualization model effect provided by an embodiment of the present invention;

FIG. 9 is a schematic diagram of a three-dimensional visualization model effect of a monitoring site provided by an embodiment of the present invention.

DETAILED DESCRIPTION

The technical solution of the present application is further described in detail below in conjunction with specific implementation methods.

The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present application, and should not be construed as limitations on the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments may be combined with each other.

Embodiment 1:

The present embodiment provides a dual-engine driving method for a water conservancy digital twin platform. The dual-engine driving method for a water conservancy digital twin platform provided in the present embodiment can be applied to a terminal and can be executed by an optoelectronic tracking control system. The system can be implemented by software and/or hardware. The system can be integrated in a terminal, for example: any tablet computer or computer device with communication function.

The dual-engine driving method of the water conservancy digital twin platform of this embodiment specifically includes the following steps:

Step 1: Construct standardized codes for water conservancy scenes and objects of different scales (as shown in Table 1), and construct eight-directional spatiotemporal correlation relationships of the same scale with water conservancy objects as units (as shown in Figure 1).

Table 1 Typical object coding table

Step 2: Fuse multi-source heterogeneous spatial data and upload various types of model files to build a digital twin static visualization scene.

In this embodiment, multi-source heterogeneous spatial data mainly include DEM, DOM, BIM, oblique photography, underwater terrain, other spatial data, etc., and upload model files in FBX, RVT, NWC, NWD, DGN, IFC, GLTF, GLB, SKP, RFA, OBJ, LAS and other formats to meet the needs of users to use their own models to build multi-source data application scenarios, and integrate spatial data from different sources and structures into digital twin static visualization scenes. The process of building a multi-source and multi-dimensional visualization model is shown in Figure 2.

Step 3: Build a visualization engine for large- and medium-scale scene objects driven mainly by GIS, and perform three-dimensional loading and rendering of watersheds, large projects and important areas; build a visualization engine for small- and micro-scale scene objects driven mainly by UE, and perform three-dimensional loading and rendering of typical projects, operation areas, monitoring sections, information fields, etc.

Step 4: Construct the three-dimensional driving relationship of water conservancy objects under the dual engines of GIS and UE to form a multi-dimensional data-driven processing flow.

In this embodiment, the multidimensional data-driven processing flow mainly includes data governance, twin scene editing, twin scene rendering, secondary development interface, model algorithm integration, etc.

Step 5: Integrate various professional models such as hydrological models and hydrodynamic models under the dual engines of GIS and UE.

After the professional model is built through the visual interface, the background program driven by the GIS and UE dual engines starts to call the model for calculation. After the background program reads the required data from the database, it processes the data into a model file that meets the model requirements through methods such as spatial discretization, temporal discretization, and missing data supplementation, and drives the model to call related models to perform simulation calculation tasks. After the model calculation is completed, the driving platform parses the result file output by the model calculation and stores the calculation results in the model result library. The three-dimensional driving process of model data is shown in Figure 3.

Step 6: Relying on GIS and UE dual engines to drive simulation, extract key data and professional model calculation results, and use layer rendering, data analysis, data information comparison and other methods to process them, and conduct visualization of flood warning, flood forecast, flood rehearsal, engineering safety monitoring, engineering inspection management, and engineering safety assessment related businesses. Visual simulation, realize visualization rendering of different business application scenarios, and form an analysis and rendering interface for data and model results, to support three-dimensional digital dynamic display and interaction of application scenarios such as flood management business applications, engineering safety operation, and intelligent management business.

The dual-engine driving method of the water conservancy digital twin platform provided in this embodiment, by constructing a multi-source information data model based on water conservancy objects, realizes the deep integration and convenient interaction of multi-type data information with visualization scenes and models, and finally forms a highly integrated application of data model-water conservancy professional model-intelligent model-visualization model, so as to realize the forecast, early warning, rehearsal and plan of water conservancy basins and engineering objects.

Embodiment 2:

The present embodiment provides a dual-engine driving method for a water conservancy digital twin platform. The dual-engine driving method for a water conservancy digital twin platform provided in the present embodiment can be applied to a terminal and can be executed by an optoelectronic tracking control system. The system can be implemented by software and/or hardware. The system can be integrated in a terminal, for example: any tablet computer or computer device with communication function.

The dual-engine driving method of the water conservancy digital twin platform of this embodiment specifically includes the following steps:

Step 1: Taking the digital twin of a water conservancy project in a river basin as an example, standardize the scale of the water conservancy scene at the river basin scale, the water conservancy object at the project scale, and the local object of the monitoring facility, and construct an eight-directional spatiotemporal relationship with the water conservancy object as the unit (as shown in Figure 1). In the object description, record the corresponding objects in the spatial directions X, Y, Z and the time directions T1 and T2, and connect the current object attribute table and timetable externally, and record the object behavior and actions at different times through timestamps (as shown in Figure 4).

Step 2: For multi-source heterogeneous spatial data, data collection, metadata cleaning, baseplate generation, model processing, scene fitting, material optimization and other steps are carried out, and corresponding mature tools, auxiliary tools, manual secondary processing and other technical means are used to ensure the physical rationality and visual optimization of multi-source heterogeneous spatial data fusion. The technical path of multi-source heterogeneous spatial data fusion is shown in Figure 5.

(1) Large-scale data governance:

Based on the model slicing technology, the digital twin engine divides the multi-source heterogeneous twin spatial data into multiple layers, each with different data, namely terrain layer, road layer, building layer, green layer, and water layer. In the end, all layer data will be integrated into a link for external output to realize the carrying and display of digital twin related businesses. The division of multi-source heterogeneous twin spatial data layers is shown in Figure 6.

(2) Mesoscale BIM data governance:

rvt model base point: Move the model base point to a position near the bottom center of the model, and drag the model to the point on the base plate, which is the location where the coordinate origin is placed.

Avoid modeling of overlapping surfaces: In Revit software, overlapping surfaces will appear flashing. This phenomenon also exists on the PaaS platform, so avoid modeling of overlapping surfaces when modeling.

Check visibility of volume: If the model is created by volume, you need to turn on the display properties of the volume in the [Visibility] settings so that the volume model can be recognized during the conversion process.

View selection: If a 3D view is saved when the file is closed in Revit, use that view; if the above conditions are met, search for a view whose name contains "{3D}" or "{3D}" from all views; if the above conditions are not met, randomly select a view.

(3) Small and medium-scale data governance:

Check units: Open the scene unit settings and check the model size and units, in meters or centimeters.

Clean up the model: Clean up useless empty objects in the model. Empty objects refer to objects with 0 faces or 0 vertices.

Coordinate adjustment: Try to place the coordinate axis at the bottom center of the model. This point is the model base point where the specified point is placed when the model is dragged into the scene, so do not be too far away from the world coordinate when modeling.

Avoid overlapping faces: When modeling, avoid overlapping surfaces of geometric models, as overlapping surfaces will produce flashing surfaces.

Convert to editable mesh: Right-click all models and convert the geometry into editable mesh EditableMesh, otherwise some objects cannot be exported in fbx format or will be deformed after export.

Step 3: Upload model files in FBX, RVT, NWC, NWD, DGN, IFC, GLTF, GLB, SKP, RFA, OBJ, LAS and other formats. The simulation engine can parse the model, separate the digital model and the analog model, and convert the data model into a unified scene format to import and place the model. For the original attribute information of the model, the model conversion process will bind the corresponding data to the model, so that users can view the component details of the model in the component details of the digital twin engine.

Step 4: Build a visualization engine for large and medium-scale scene objects driven mainly by GIS, and perform three-dimensional loading and rendering of watersheds, large projects and important areas. The data sources of the watershed scene visualization model and the scene visualization model in the first-level protected area are mainly DEM/DSM data and DOM data. The same type of data can be repeatedly loaded with different precision layers. Generate a full-factor scene base for a large-area visualization model of the watershed that can be rendered with high performance. According to the needs of management applications, increase the available vector data of buildings, roads, water systems, etc., and approximately restore the buildings, roads, and water systems in the scene when generating a large-area visualization model full-factor scene base.

Step 5: Build a visualization engine for small and micro-scale scene objects driven by UE, and perform three-dimensional loading and rendering of typical projects, operation areas, monitoring sections, information fields, etc. Based on the BIM model and the oblique photography model, a visualization model of the main dam is constructed, and the construction process requires three steps of processing.

(1) Lightweight processing:

Based on BIM data, a three-dimensional model with consistent appearance size and construction information is formed. While retaining the basic information of the BIM model, the number of faces required for rendering is optimized.

(2) Material processing:

According to the material, lighting and other information of the oblique photography image data, the model is optimized in terms of material and other aspects, and finally a high-performance rendering visualization model is constructed.

(3) Scene Fitting:

The processed main dam visualization model is placed in the large-area visualization model full-element scene base plate and matched with the surrounding natural environment and other data. The main dam visualization model effect is shown in Figure 7.

(4) For a large number of monitoring stations in the entire river basin, micro-scale graphic expressions are used, that is, they are displayed in the form of POI key information tags, which can be retrieved at the business application layer and then displayed in a pop-up window to display the station name, monitoring data content, etc. For the core stations in key areas, high-performance rendering models are constructed for expression, which can be directly displayed and observed on the digital twin simulation engine. The effect of the graphical visualization model of the monitoring station is shown in Figure 8, and the effect of the three-dimensional visualization model of the monitoring station is shown in Figure 9.

Step six: Construct the three-dimensional driving relationship of water conservancy objects under the dual engines of GIS and UE, and form a multi-dimensional data-driven processing flow, mainly including data governance, twin scene editing, twin scene rendering, secondary development interface, model algorithm integration, etc., to realize the four capabilities driven by the dual engines.

(1) Full-factor scene loading capability:

Supports loading of full-factor 3D twin scenes. When constructing visualization models, full-factor 3D twin scenes are processed, optimized, and integrated based on multi-source heterogeneous spatial data such as GIS, BIM, oblique photography, and multi-beam terrain data. The simulation engine can quickly load and run production results with large areas and multi-level rendering effects.

(2) Real-time data visualization capabilities:

Through visual graphic components, complex data can be displayed in real time in two or three dimensions, including bar charts, pie charts, curves, wind rose diagrams, and three-dimensional special effect labels, so as to clearly and quickly obtain various types of information, including information classification, information comparison, etc.

(3) Real-time scene rendering and visualization capabilities:

It supports cloud rendering and real-time rendering capabilities, can meet the needs of 3D projects with ultra-large scenes and ultra-simulation effects, has new technologies such as ray tracing and real-time display, HDR lighting, PBR material textures, etc., can render specific different materials based on physical properties, has full-simulation global lighting expression capabilities, stable frame rate for three-dimensional scenes, and highly simulated rendering of regional scene buildings supports two sets of textures for daytime and night scenes.

(4) Highly integrated and multi-dimensional data display capabilities:

It supports nearly 100 types of data analysis charts, including statistical charts, distribution charts, relationship charts, spatial statistical charts, spatial distribution charts, spatial relationship charts, etc., and supports combination into a data analysis cockpit for comprehensive display, realizing parallel monitoring and analysis of multi-indicator data, and providing comprehensive data support for user decision-making and judgment.

It supports visual analysis and judgment of event information based on various visual analysis methods such as grid, clustering, heat map, activity pattern, etc., helping users to deeply explore the value of data and improve the decision-making ability and efficiency of decision makers.

It supports integration with water conservancy professional analysis algorithms and data models, supports the fusion and visualization analysis of calculation results and data from other sources, conducts serial and parallel analysis of existing information resources and artificial intelligence calculation results, makes full use of existing information construction achievements, and provides intelligent decision-making support for managers to improve comprehensive management efficiency.

Step 7: During scene construction, in order to enhance the sense of reality and immersion of the constructed scene, the reservoir basin scene background is configured according to the needs and actual conditions of the scene, and the physical environment effects are set for the three-dimensional scene. By setting time, lighting, clouds, fog, rain and snow, background color, light and shadow filters, materials and other factors, the sense of reality of the scene is enhanced to meet the environmental effects required by the scene accuracy of the business application cockpit.

Step 8: Visual display of the four pre-business scenarios of mesoscale engineering, access to monitoring data, stress, deformation, seepage and other safety monitoring data, visualize the deformation and seepage safety calculation results under various conditions such as daily typical water level operation conditions of the dam body, superimposed earthquake conditions, typical disease conditions (landslide, damage to impermeable body, etc.), and provide engineering safety prediction, early warning, rehearsal and plan realization display based on the engineering safety analysis model.

The four pre-business scenarios of the project are visualized mainly through color masking tools or label highlight flashing tools, key information label POI marking, front-end window display, etc., combined with automatic focusing of the lens, to display the spatial position of the object in the digital twin scene.

(1) Visual display of engineering safety forecast:

Realize visual display of seepage prediction results, deformation prediction results, earthquake impact analysis and mountain tilt prediction results.

(2) Visual display of safety monitoring and early warning:

According to the dam safety monitoring alarm information, in the digital twin scene, the monitoring abnormal points are labeled and visualized, and the lens can automatically focus on the alarm monitoring point to display the spatial position of the alarm object in the digital twin scene.

(3) Engineering safety rehearsal simulation display:

In the reservoir digital twin scenario, according to the formulated engineering safety management plan, when relevant safety incidents are triggered, for cases with structured data, simulation and display are carried out in the digital twin scenario; for cases without structured data, the effectiveness and rationality of the implementation of the engineering safety plan are marked through the front end.

(4) Visual display of engineering risk plan:

Based on the digital twin scene of the reservoir, real-time monitoring data such as hydrological forecast, dam monitoring, and video surveillance are integrated. Through key information tag POI marking, front-end window display, three-dimensional space lens call and focusing, etc., the results of the plan given according to the relevant conditions of the project operation can be visualized to support the project emergency command and disposal tracking.

Step 9: Based on the analysis results of the basin flood forecasting model, analyze and render the results of the basin large-scale flood forecasting model, and release basin flood risk warnings, flood forecasts and flood drills in combination with front-end secondary development.

(1) Visual display of flood warning business scenarios:

Depending on the nature of the data source, the spatial position of the object can be displayed in the digital twin scene mainly through changes in thermal mapping and arrow length, color masking tools or label highlighting, key information label POI dotting, front-end window display, etc., in conjunction with automatic focusing of the lens.

1) Visualization of meteorological warnings: Based on the weather forecast, rainfall monitoring, short-term forecast and other data information released by the meteorological department and the basin flood control meteorological risk warning information, the digital twin base is used to realize the visualization of meteorological warnings.

2) Visual display of hydrological warning: Based on the basin flood forecast and warning result information provided by the hydrological department, the visual display of hydrological warning is realized based on the digital twin base.

3) Visual display of video surveillance warning: Combining manual observation of video surveillance in the basin and AI intelligent analysis results, we can find flood warning information such as rapid rise in river water levels and flooding in local areas. Based on the digital twin base, we can realize the visualization of hydrological warning.

4) Visual display of inundation analysis: supports water flow separation during flood overflow, flood impact evolution process, and visualization of water effects in inundated areas.

5) 3D visualization rendering of material allocation: supports visualization of reasonable path analysis of material allocation.

6) 3D visualization rendering of personnel transfer: supports visualization of personnel transfer route analysis.

(2) Visual display of flood forecast:

The simulation methods for visual display of flood forecast scenes are mainly based on the nature of the data source: using color masking tools or label highlighting, key information label POI dotting, front-end window display, etc., in conjunction with automatic lens focusing, to display the spatial position of objects in the digital twin scene.

1) Visualization of rainfall forecast: Access 24-hour high-precision meteorological grid forecast data and realize visualization of reservoir basin rainfall forecast based on the digital twin base.

2) Visualization of short-term forecast: Access the rainfall radar monitoring data and realize the visualization of the short-term (2-3 hours) rainfall forecast in the reservoir basin based on the digital twin base.

3) Visualization of medium- and long-term forecasts: Access high-precision meteorological grid forecast data with different time resolutions such as 72 hours and 240 hours, and based on the digital twin base, realize the visualization of medium- and long-term rainfall forecasts in the reservoir basin.

4) Visualization of reservoir flood forecast: Based on rainfall forecasts with different time resolutions, short-term forecasts, measured rainfall data and other basin runoff analysis model results, the forecast results of reservoir flood processes in the reservoir basin are visualized.

(3) Visual display of flood prevention drills:

The simulation methods for visual display of flood prevention rehearsal business scenarios are mainly based on the nature of the data source: through changes in water bodies, thermal mapping changes and arrow length changes, color masking tools or label highlighting and flashing, key information label POI dotting, front-end window display, etc., combined with automatic focusing of the lens, to display the spatial position of the object in the digital twin scene.

1) Visualization of reservoir safety during flood season: Based on the comprehensive analysis of water and rainfall monitoring, meteorological forecasts, hydrological forecasts and other information and the current safety situation of the basin during flood season, the visualization of reservoir safety during flood season is achieved based on the digital twin scenario.

2) Flood rehearsal visualization: For upstream key reservoirs, the results of the sub-basin runoff analysis model are connected, and based on the digital twin scenario, simulation visualization of flood processes with different frequencies is carried out. For the flood discharge process of downstream reservoirs, the results of the flood evolution analysis model are connected, and based on the digital twin scenario, visualization of different flood discharge scheduling processes (number of gates opened, opening degree, flood discharge time, etc.) is carried out.

3) Reservoir flood storage visualization: For upstream key reservoirs, the results of the basin runoff analysis model are connected to realize the visualization of the reservoir scheduling process based on the digital twin scenario.

4) Dynamic interactive simulation of reservoir flood storage and dispatching: Based on the digital twin scenario, the flood storage and dispatching process results of each reservoir are connected, and the interactive visualization of the water level changes and flow marks of the reservoir flood storage and dispatching is realized.

The dual-engine driving method of the water conservancy digital twin platform provided in this embodiment solves the problems of deep integration, efficient management and visual interaction of multi-dimensional massive data information and models in a GIS and UE dual-engine driving manner, realizes the visual expression of cross-scale water conservancy objects, can solve the drawbacks of digital twins of a single engine, improve the diversified three-dimensional expression method and efficiency of water conservancy objects, and improve the digital mapping application level of the water conservancy digital twin platform. It is oriented to water conservancy application scenarios, integrates the advantages of GIS engine and UE engine, realizes the efficient implementation of water conservancy business and the integrated management of multi-source water conservancy data, and thus improves the application level of digital twin water conservancy.

Embodiment 3:

This embodiment provides a computer system, including:

Storage medium: used to store computer programs;

Processor: used to execute computer programs to implement the steps of the method in embodiment 1 or 2.

Embodiment 4:

This embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the method in Embodiment 1 or 2 are implemented.

Embodiment 5:

This embodiment provides a computer program product, including a computer program, which implements the steps of the method in Embodiment 1 or 2 when executed by a processor.

Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

The present application is described with reference to the flowcharts and/or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and/or box in the flowchart and/or block diagram, as well as the combination of the processes and/or boxes in the flowchart and/or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate a device for implementing the functions specified in one process or multiple processes in the flowchart and/or one box or multiple boxes in the block diagram.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

These computer program instructions may also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

The above are only preferred implementations of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims (10)

1. The double-engine driving method for the water conservancy digital twin platform is characterized by comprising the following steps of:

constructing scale standardized codes for water conservancy scenes and water conservancy objects with different scales, and constructing same-scale eight-direction space-time association relations taking the water conservancy objects as units;

fusing the multi-source heterogeneous space data, uploading model files of all types, and constructing a digital twin static visualization scene;

Based on the standardized codes, the same-scale eight-direction space-time association relation and the digital twin static visualization scene, constructing a visualization engine of a large-scale and medium-scale scene object which is mainly driven by a GIS and a visualization engine of a small-scale and micro-scale scene object which is mainly driven by a UE;

Constructing a three-dimensional driving relation of a water conservancy object under a GIS and UE double engine to form a multidimensional data driving processing flow;

Based on the multidimensional data driving processing flow, a GIS and UE dual-engine driving background program is utilized to call model files of all types for calculation, and visual simulation and simulation display are carried out according to calculation results, so that flood forecast analysis results are obtained;

and based on the flood forecast analysis result, issuing flood protection risk early warning, flood forecast and flood protection previewing of the river basin.

2. The method of claim 1, wherein constructing the co-scale eight-direction space-time association relationship with the water conservancy object as a unit comprises: corresponding objects in the spatial direction X, Y, Z and the time directions T1 and T2 are recorded in the object description, and the object description is externally connected with a current object attribute table and an object event table, and object behaviors and actions at different times are recorded through time stamps.

3. The method for driving the dual engine of the water conservancy digital twin platform according to claim 1, wherein the steps of fusing the multi-source heterogeneous space data, uploading model files of each type, and constructing the digital twin static visualization scene comprise:

Carrying out large-scale data management, medium-scale BIM data management and medium-small fine-scale data management on the multi-source heterogeneous space data;

and uploading FBX, RVT, NWC, NWD, DGN, IFC, GLTF, GLB, SKP, RFA, OBJ, LAS-format model files for analysis and digital-analog separation, converting the model files of all types into a scene unified format, and binding mapping relations between corresponding data and the models to construct a digital twin static visualization scene.

4. The method for driving the dual engine of the water conservancy digital twin platform according to claim 1, wherein when the digital twin static visualization scene is constructed, setting the background and physical environmental effects of the three-dimensional scene based on the scene requirement and the actual situation comprises the following steps: setting time, illumination, cloud layer, fog, rain and snow weather, background color, light and shadow filter and materials.

5. The method for driving the dual engine of the water conservancy digital twin platform according to claim 1, wherein constructing the visualization engine of the large and medium scale scene object which is mainly driven by the GIS, and carrying out three-dimensional loading and rendering on the river basin, the large engineering and the important area comprises the following steps:

Generating a full-element scene baseplate of the visual model based on a data source of the visual model;

Vector data is added based on management application requirements, and buildings, roads and water systems in the scene are restored on the scene bottom plate of the panoramic element of the visual model.

6. The method of driving a dual engine of a water conservancy digital twin platform according to claim 1, wherein constructing a visualization engine of small and micro-scale scene objects driven by a UE as a main drive, and performing three-dimensional loading and rendering on a typical engineering, an operation area, a monitoring section and an information field comprises:

forming a three-dimensional model with consistent appearance size and construction information based on BIM data, and optimizing the number of faces required in rendering while retaining basic information of the BIM model;

according to the material and illumination information of the image data of oblique photography, carrying out material optimization processing on the three-dimensional model, and constructing a high-performance rendering visual model;

Placing the processed main dam visual model in a full-element scene bottom plate of the visual model, and performing fitting treatment on the full-element scene bottom plate and surrounding natural environment data;

For the full-river basin monitoring site, micro-scale graphic expression is adopted, POI key information labels are used for displaying, and after the service application layer is called, a popup frame is used for displaying the site name and monitoring data;

And for the core site of the key area, a high-performance rendering model is constructed for expression, and the expression is directly displayed and observed on a digital twin simulation engine.

7. The method for driving the dual engine of the water conservancy digital twin platform according to claim 1, wherein the multi-dimensional data driving processing flow comprises: the system comprises data management, twin scene editing, twin scene rendering, secondary development interfaces and model algorithm integration, and can realize full-element scene loading capacity, real-time data visualization capacity, real-time scene rendering visualization capacity and data height set multidimensional fusion display capacity under GIS and UE double engines.

8. The method for driving the dual engine of the water conservancy digital twin platform according to claim 1, wherein the visual simulation and analog display comprises:

Carrying out seepage prediction results, deformation prediction results, earthquake influence analysis and mountain inclination prediction results visual display;

According to dam safety monitoring alarm information, in a digital twin scene, performing label marking visual display on points of monitoring abnormality, automatically focusing a lens to an alarm monitoring point, and displaying the spatial position of an alarm object in the digital twin scene;

In a digital twin scene of the reservoir, according to a preset engineering safety management scheme, under the triggering condition of a preset safety event, carrying out simulation and display on the condition of structured data in the digital twin scene; for the condition of no structured data, marking the effectiveness and rationality of implementing the engineering safety scheme through the front end;

based on a reservoir digital twin scene, integrating hydrologic forecasting, dam monitoring and video monitoring real-time monitoring data, and visually displaying a plan result given according to related engineering operation conditions through key information label POI dotting, front-end window display, three-dimensional space lens calling and focusing.

9. A computer system, comprising:

A storage medium: for storing a computer program;

A processor: steps for executing the computer program to implement the method of any one of claims 1 to 8.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 8.