Parameter-driven self-adaptive multi-level three-dimensional visualization method for high-speed railway bridge

Abstract

The invention discloses a parameter-driven self-adaptive multi-level three-dimensional visualization method for a high-speed railway bridge. The method comprises a positioning layer, a vector layer and an entity layer are arranged. The entity layer comprises an entity layer body, a construction entity layer body and an operation and maintenance entity layer body, abstraction of a geometric body isdriven by parameters for the design entity layer body, the construction entity layer body and the operation and maintenance entity layer body according to the requirement of multi-scale browsing, andthe scale entity layer body is constructed; organizing and managing a detail level model of the high-speed railway bridge: storing the detail level model in a loose manner, constructing a complex multi-dimensional mesh organization relationship by establishing objects, versions, spaces and time connections, and supporting adaptive dynamic scheduling of the detail level model; and self-adaptive dynamic scheduling of the detail level model of the high-speed railway bridge: resolving query commands such as space, time, version and engineering application into a scheduling condition set, and realizing complex and integrated scheduling of vectors and solid models and classified rendering in a virtual environment.

Description

technical field [0001] The invention relates to the field of three-dimensional visualization, in particular to a parameter-driven adaptive multi-level three-dimensional visualization method for high-speed railway bridges. Background technique [0002] In order to meet the bridge visualization needs of different viewing scales, different engineering stages, and different management granularities in virtual simulation platforms such as high-speed railway virtual survey, construction and operation and maintenance simulation services, digital twin railways, abstract methods must be used to construct the level of detail of high-speed railway bridges ( Levels of Detail (LOD for short) model, efficiently organizes and manages LOD models of different objects in the same time and space or the same object in different time and space, and adaptively and dynamically dispatches the required models in the network environment to realize multi-level 3D visualization of high-speed railway bri...

AI Technical Summary

Problems solved by technology

[0004] First of all, existing methods use geometric simplification to generate LOD models, which cannot meet abstract requirements. For example, the first-level LOD model of a high-speed railway bridge should be a vector such as the position and mileage value of each pier and abutment at the bridge site, while the existing methods can only provide simplified The 3D solid model, and the geometric simplification is based on the grid size, normal vector, etc. The simplification process is not guided by the bridge construction parameters, and the simplification result is uncontrollable

[0005] Secondly, the full life cycle information of high-speed railway bridges is gradually revised and refined with the project stage, and the 3D visualization of information should reflect its dynamic process. Existing methods only build indexes based on spatial information to organize and manage LOD models, which cannot support time-dimensional scheduling.

[0006] Finally, the existing method based on the viewpoint parameter scheduling grid simplifies the LOD model, and the scheduling method is single. It cannot support complex scheduling of models of different levels, different versions, and different time periods, and cannot meet the needs of different project management granularities and different engineering applications. The need for visualization

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