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CN-122023663-A - Visualization method of digital drainage twin system based on three-dimensional scene

CN122023663ACN 122023663 ACN122023663 ACN 122023663ACN-122023663-A

Abstract

The invention discloses a digital drainage twin system visualization method based on a three-dimensional scene, which comprises the steps of constructing a three-dimensional model according to gradients with different accuracies, carrying out light weight and rendering treatment on the three-dimensional model, obtaining a water flow dynamics model, superposing the water flow dynamics model on the three-dimensional model to obtain the three-dimensional scene, establishing a multi-source data standardized access interface, superposing multi-source data on the three-dimensional scene, and carrying out multi-terminal adaptation treatment on the three-dimensional scene to realize cooperative display and interaction of the three-dimensional scene in multiple terminals. The method is particularly suitable for visual management, risk early warning and emergency scheduling scenes of the drainage pipe network under the large drainage basin scale.

Inventors

  • WANG HAO
  • ZHANG DEQUAN
  • WANG HAO

Assignees

  • 上海中井汉鼎数字技术有限公司

Dates

Publication Date
20260512
Application Date
20260209

Claims (10)

  1. 1. A digital drainage twin system visualization method based on a three-dimensional scene, comprising: Constructing a three-dimensional model according to gradients of different accuracies; Performing light weight and rendering treatment on the three-dimensional model; The obtained water flow dynamics model is superimposed to a three-dimensional model, obtaining a three-dimensional scene; establishing a multi-source data standardized access interface, superposing multi-source data to a three-dimensional scene, and And carrying out multi-terminal adaptation processing on the three-dimensional scene so as to realize cooperative display and interaction of the three-dimensional scene in the multi-terminal.
  2. 2. The method of claim 1, wherein the different accuracies comprise: macro topography level, covering the range of urban river basin, and modeling accuracy is more than or equal to 5m; The pipe network layout stage is used for presenting the overall layout information of the drainage pipe network, and the modeling precision is 1-5m; The node construction stage is used for presenting the structural size and the connection mode of the node, and the modeling precision is 0.1-1m; The equipment detail level is used for presenting the appearance form, the installation position and the running state of equipment, and the modeling precision is 0.01-0.1m; and the texture level is used for presenting the texture of the model texture, wherein the modeling precision of part of nodes is less than or equal to 0.1m.
  3. 3. The method of claim 2, wherein model accuracy control is performed by the following formula: ; Wherein P is modeling precision and represents the actual error upper limit of the model under the corresponding precision grade, k L is precision grade coefficient and takes value according to five-grade precision layering standard: Macroscopic terrain level, k L1 =5; A pipe network layout stage, k L2 =3; node construction stage, k L3 =0.5; device detail level, k L4 =0.05; Texture level, k L5 =0.01; Epsilon is an error correction coefficient, the value range is 0< epsilon is less than or equal to 0.01, and the error correction coefficient is obtained by reversely deducing laser scanning calibration data and field measurement errors and is used for compensating the system errors in the modeling process.
  4. 4. The method of claim 1, further comprising rendering frame rate optimization by the following formula: ; Wherein F is the rendering frame rate, which refers to the number of frames of the image rendered per second for the three-dimensional scene; C is a rendering optimization coefficient, and is dynamically adjusted based on hardware computing power, wherein the value range is more than or equal to 1.2 and less than or equal to 2.5; m is LOD scheduling grade, the value range is 1-5, and the higher the grade is, the more abundant the model detail level is; N is the number of polygons, which refers to the total number of polygons of all three-dimensional models in the current rendering scene.
  5. 5. The method of claim 1, further comprising converting the three-dimensional model to OSGB format and performing redundant data clipping to ensure a compression rate of 80% or more.
  6. 6. The method of claim 1, wherein the lightening and rendering of the three-dimensional model comprises: installing a rendering plug-in on a rendering server, and importing OSGB a three-dimensional model; LOD scheduling threshold and rendering frame rate parameters are configured, and rendering optimization is completed; And (3) debugging fluid simulation parameters to ensure that simulation precision errors are less than or equal to +/-5 cm.
  7. 7. The method of claim 1, wherein the multi-source data comprises: AI early warning data comprising waterlogging risk level, early warning area, estimated ponding depth and duration; Beidou positioning data comprises longitude and latitude coordinates and elevation information of pipe network nodes, equipment and monitoring points, and positioning errors are less than or equal to +/-0.5 m; The real-time monitoring data comprises real-time indexes of water level, flow velocity, flow rate and equipment running state, wherein the real-time indexes are embedded into a three-dimensional scene in the forms of a dynamic instrument panel, a trend curve and a state indicator lamp, and the delay is less than or equal to 1s when the data is updated.
  8. 8. The method of claim 1, wherein establishing a multi-source data standardized access interface, superimposing multi-source data to a three-dimensional scene comprises: The server is deployed, and a data communication link with the AI early warning system, the Beidou positioning module and the monitoring terminal is established; Configuring a data access interface, an analysis rule and a superposition display style; and the updating time delay and the superposition accuracy of the test data ensure that the updating time of the real-time monitoring data is less than or equal to 1s and the positioning superposition error is less than or equal to +/-0.5 m.
  9. 9. The method of claim 1, wherein the hydrokinetic model calculates the hydrokinetic water depth by the formula: ; H is the depth of accumulated water, which refers to the average depth of accumulated water on the earth surface in a waterlogging scene; Q is the confluence quantity, the unit is m 3 /s, and the confluence quantity is calculated by the regional rainfall, the surface runoff coefficient and the confluence area; t is ponding time, the unit is s, and the duration time from the beginning of rainfall to the calculation time is indicated; μ is a permeability coefficient, and is valued according to the soil type, wherein sandy soil μ=0.3-0.5, loam μ=0.1-0.3, clay μ=0.01-0.1, hardened ground μ=0.001-0.01; S is the area of water accumulation, the unit is m 2 , and the area of a low-topography easy-waterlogging area identified by a digital twin model; v is water flow speed, the unit is m/s, and the water flow speed is derived from the drainage capacity of the pipe network, the terrain gradient and the fluid dynamics model.
  10. 10. The method of claim 2, wherein a portion of the nodes in the texture level of the material are modeled using laser scan data.

Description

Visualization method of digital drainage twin system based on three-dimensional scene Technical Field The invention relates to the technical field of digital twin, three-dimensional visualization and urban drainage pipe network monitoring, in particular to a digital drainage twin system visualization method based on a three-dimensional scene. Background Under the background of continuous promotion of the urban process, the scale of the urban drainage pipe network system is continuously enlarged, the structure is gradually complicated, and the operation and maintenance difficulty and the risk prevention and control pressure are obviously improved. The digital twin technology has become a key support technology for intelligent operation and maintenance of urban drainage pipe network systems by virtue of the core advantages of the digital twin technology in aspects of asset visual management, risk pre-judging and early warning and the like, and is widely applied in the field. However, in the existing urban drainage twin system, a three-dimensional visualization technology is used as a core functional module, and a plurality of technical defects to be solved still exist, which are specifically expressed as follows: Firstly, the model precision and the scene coverage range have the contradiction of adaptation. In the prior art, aiming at the macroscopic topography modeling precision of the urban drainage pipe network, the precision is generally more than or equal to 10m, the precision level cannot accurately represent the structural details and spatial position association relation of key facilities such as inspection wells, valves, pump stations and the like, so that the operation and maintenance of microscopic equipment, fault positioning and other refined scenes lack effective visual support, if the model precision of a local area is simply improved, the model data volume is caused to be exponentially and rapidly increased, and the global visual display requirement of a large-basin level is difficult to adapt, so that the dilemma of 'precision improvement and scene coverage' is formed. Secondly, rendering efficiency is difficult to match real-time simulation and decision requirements. When the traditional three-dimensional visualization technology is used for processing large scene data of the urban drainage pipe network, obvious performance bottlenecks exist, namely model loading time delay is usually more than 10 seconds, polygonal loading capacity can only reach below 10 ten thousand levels, dynamic visualization display of a pipe network topological structure and a water flow real-time state under a river basin scale can not be realized, and timeliness and accuracy of emergency scheduling decisions are seriously affected. Thirdly, the interactive function is single and the relevance of the business process is lacking. The visual interaction of the existing system is limited to basic operations such as rotation, translation, scaling and the like, visual simulation of dynamic physical processes such as water flow evolution, waterlogging diffusion and the like is difficult to realize, meanwhile, the visual module and core service components such as an AI early warning model, a Beidou positioning system, real-time monitoring equipment and the like do not realize deep cooperative linkage, and a full-flow service closed loop of data acquisition, risk analysis, early warning release, visual presentation cannot be formed, so that early warning information transmission is not visual, and decision support capability is weak. Fourth, the degree of technical standardization is low and the engineering floor-standing performance is insufficient. The disclosed related patent technology (such as a drainage unit twin system and method based on an AI and a 3D technology and a pipe network global early warning visualization method based on a Beidou positioning system and the AI) does not form a unified three-dimensional visualization technical flow specification, an effective solution is not provided for the balance problem of model lightweight processing and rendering efficiency, and the related technical scheme does not realize deep coupling with software copyright codes applied to the ground, so that engineering conversion efficiency of technical results is low and is difficult to be rapidly applied to actual engineering scenes. In summary, the three-dimensional visualization technology of the existing urban drainage twin system cannot meet the multi-dimensional core requirements of high-precision modeling, high-efficiency rendering, high interactivity and service closed cyclization, so that a three-dimensional visualization method with high standardization and strong engineering landing performance is needed to fill the blank of the prior art and support the intelligent operation and maintenance and emergency decision of the urban drainage pipe network system. Disclosure of Invention The invention aims at the defects of