3D Parametric Modeling for Complex Structure Component Tracking
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Solution Overview
Problem
Current methods for tracking wear components in complex three-dimensional structures are limited by their inability to model non-cylindrical bodies, depict component placement in 3D, and manage composite build-outs, especially when shapes have Gaussian curvature, leading to inefficiencies in life-cycle economics and design optimization.
Innovation Solution
A build-out tracking method using 3D parametric modeling that allows precise documentation of historical changes and component data, enabling the visualization and analysis of complex geometric shapes, and facilitating the identification of precise configuration and component data at any spatial point, using a ray tracing filter method to pierce the surface of a model and retrieve installation and service-life details from a database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If 2D representations and spreadsheet methods are used to track wear components, then data storage and basic tracking are achieved, but the ability to model complex three-dimensional shapes with Gaussian curvature is lost
Solution Approach 1:
The patent transitions from 2D representations to 3D parametric modeling to track wear components. The system creates and maintains a 3D digital model of the industrial structure that accurately represents complex geometries including Gaussian curvature surfaces, enabling precise tracking of component locations and configurations in three-dimensional space rather than losing spatial information in 2D projections.
Solution Approach 2:
The patent creates a digital copy or digital twin of the physical industrial structure. This 3D digital model replicates the complex geometry and component arrangements, allowing virtual tracking and analysis without altering the physical structure. The digital copy preserves all spatial and geometric information that would be lost in 2D representations.
2Adaptability or versatility
If simple 2D developed surfaces are used for tracking, then cylindrical structures can be represented, but non-cylindrical bodies and complex geometric shapes cannot be modeled
Solution Approach 1:
The system employs 3D parametric modeling capabilities that can represent any complex geometry including non-cylindrical bodies and surfaces with Gaussian curvature. This dimensional upgrade from 2D to 3D modeling enables accurate representation of diverse industrial structures such as cyclones, domes, and irregularly shaped vessels while maintaining geometric precision.
Solution Approach 2:
The patent uses parametric modeling where geometric parameters can be modified to adapt the model to different structures. By changing parameters such as curvature radii, surface equations, and geometric transformations, the system can accurately model various complex shapes including those with Gaussian curvature, providing both versatility and precision.
3Loss of information
If traditional tracking methods are used, then historical data can be stored, but precise configuration data at any spatial point cannot be retrieved
Solution Approach 1:
The system implements interactive querying capabilities where users can input specific spatial coordinates or select locations on the 3D model, and the system responds by retrieving and displaying the complete historical configuration data for that specific point. This feedback mechanism enables precise targeted retrieval of configuration history without requiring manual search through entire datasets.
Solution Approach 2:
The patent replaces manual spreadsheet querying and data searching with automated computer-based retrieval systems. The 3D parametric model serves as an intelligent database index, allowing instantaneous retrieval of configuration data at any spatial point through automated algorithms rather than manual mechanical search processes.
4Measurement precision
If comprehensive 3D modeling and ray tracing methods are implemented, then precise component tracking is achieved, but system complexity and computational requirements increase
Solution Approach 1:
The system divides the complex tracking problem into manageable segments: (1) creating the 3D parametric model of the structure, (2) storing component configuration data in a database, (3) implementing ray tracing algorithms for spatial queries, and (4) providing user interface for data retrieval. This segmentation allows each component to be optimized independently while maintaining overall system precision.
Solution Approach 2:
The patent introduces a 3D parametric digital model as an intermediary between the physical structure and the tracking database. This digital model acts as a mediator that translates physical spatial coordinates into database queries, enabling precise component tracking without requiring direct complex interactions between measurement devices and data storage systems.
Data Source
AI summary
A build-out tracking method and application tracks historical changes within a complex and/or repeatedly modified structure and provides for queries about the build-out of the structure over time. The method returns precise installation data from any spatial point the user chooses to query within the structure by creating a ray that pierces the structure and collects data along its path. This returned data is an immediate record of current in situ and legacy configurations of any and all shape geometries, solving the technical problem created when a surface cannot be rendered into the traditional zero-Gaussian developed surface (upon which the prior art relied). Legacy parts, designs and materials can be evaluated for life-cycle service enabling optimization of the design in support of continuous improvement.