Integrated Pipeline for Monocular 3D Reconstruction and Finite Element Simulation in Industrial Applications
Bowen Zheng

TL;DR
This paper presents an integrated workflow combining monocular video-based 3D reconstruction, finite element analysis, and mixed reality visualization to create interactive digital twins for industrial applications, balancing accuracy and real-time performance.
Contribution
It introduces a novel pipeline that seamlessly integrates deep learning-based 3D reconstruction with finite element simulation and augmented reality visualization for industrial use.
Findings
High geometric accuracy in 3D reconstruction
Efficient finite element analysis with optimized meshes
Effective real-time AR visualization of simulation results
Abstract
To address the challenges of 3D modeling and structural simulation in industrial environment, such as the difficulty of equipment deployment, and the difficulty of balancing accuracy and real-time performance, this paper proposes an integrated workflow, which integrates high-fidelity 3D reconstruction based on monocular video, finite element simulation analysis, and mixed reality visual display, aiming to build an interactive digital twin system for industrial inspection, equipment maintenance and other scenes. Firstly, the Neuralangelo algorithm based on deep learning is used to reconstruct the 3D mesh model with rich details from the surround-shot video. Then, the QuadRemesh tool of Rhino is used to optimize the initial triangular mesh and generate a structured mesh suitable for finite element analysis. The optimized mesh is further discretized by HyperMesh, and the material parameter…
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Taxonomy
TopicsNon-Destructive Testing Techniques · Geotechnical Engineering and Underground Structures · Structural Integrity and Reliability Analysis
