A scene lightweight method for digital twins

Abstract

The present invention relates to a digital twin-oriented scene lightweight method, including: step 1: input model data, calculate a quadratic error measurement matrix considering constraints, calculate optimal folding points and corresponding folding costs, and successively extract the smallest folding cost The edge is folded to generate a simplified 3D network model; Step 2: Calculate the surface discrete curvature of the vertices of the 3D network model, and find out the point whose curvature value is smaller than all adjacent points through a multi-directional gradient descent method as a local minimum point; Based on the vertex with the smallest local curvature, label the neighborhood vertices, mark the flat area, perform area segmentation and mark, and use area clustering to merge the over-segmented areas; Step 3: Calculate the distance between the planes after segmentation and merging The Euclidean distance of , and generate the final lightweight model. The present invention can reduce the weight of the full working condition self-adaptive three-dimensional grid model optimized for the digital twin operation scene.

Description

technical field [0001] The invention relates to the technical field of network control, in particular to a digital twin-oriented scene lightweight method. Background technique [0002] Digital twin is a simulation process that makes full use of physical models, sensor updates, operation history, etc., integrates multi-disciplinary, multi-physical quantities, multi-scale, and multi-probability simulation processes, and completes the mapping in the virtual space to reflect the entire life cycle of the corresponding physical equipment. Process, also known as "digital mirroring", "digital twin" or "digital twin". [0003] The digital model on the design platform that can carry out three-dimensional near-physical virtual simulation in the digital twin system often has an extremely large amount of data and complex organizational structure relationships. The existence of these data and structures will bring huge challenges to computer performance and cannot meet the requirements of...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies in the prior art and provide a digital twin-oriented scene lightweight method that solves the problem of visual dynamic display efficiency of the digital twin assembly model in the operation and maintenance process

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