Piping Data Transform Method for 3D Model Analysis
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Solution Overview
Problem
Current piping modeling and analysis software face issues when transferring data from 3D modeling to analysis software, as important information is often missed or unimportant information is imported, requiring users to rebuild the 3D piping model in the analysis software.
Innovation Solution
A system and method that transforms pipe data from a 3D modeling format to a format suitable for analysis software, allowing users to select key locations and point types within a piping model, generating a representation of the pipe segment in a format associated with piping analysis, thereby enabling analysis without rebuilding the model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is transferred directly from 3D modeling software to analysis software, then data transfer speed is improved, but data accuracy and completeness deteriorate due to missing important information or inclusion of unimportant information
Solution Approach 1:
The patent extracts only the essential piping data elements required for analysis from the comprehensive 3D modeling data. The transformation process identifies and extracts specific parameters such as pipe coordinates, diameters, materials, and support locations, while filtering out unnecessary modeling details. This selective extraction maintains data accuracy while enabling efficient transfer.
Solution Approach 2:
The patent introduces an intermediary data transformation layer between the 3D modeling software and analysis software. This intermediary process converts modeling data into an intermediate format that preserves essential information while removing redundancy, acting as a mediator that ensures data completeness without requiring direct software integration or manual rebuilding.
2Loss of information
If all piping model data is imported to analysis software, then data completeness is improved, but processing time and computational resources worsen due to unnecessary data
Solution Approach 1:
The transformation process extracts only the subset of data elements that are actually needed for piping analysis, such as geometric parameters, material properties, and support conditions. By removing unnecessary modeling metadata and non-essential details, the system achieves data completeness for analysis purposes while significantly reducing overall data volume and preparation time.
Solution Approach 2:
The patent segments the piping data into distinct categories (geometric data, material data, support data, etc.) and selectively transforms only the relevant segments required for analysis. This segmentation allows the system to maintain completeness of essential information while excluding unnecessary data segments, thereby reducing processing time.
3Loss of information
If users manually rebuild the piping model in analysis software, then data accuracy is improved, but time consumption and operational complexity worsen
Solution Approach 1:
The patent performs preliminary data transformation and validation in the modeling environment before data transfer. The transformation process pre-processes the piping data, ensuring accuracy requirements are met beforehand, so that when data is transferred to analysis software, it is already in the correct format and contains only necessary accurate information, eliminating the need for manual rebuilding.
Solution Approach 2:
The system creates a transformed copy of the piping model data that is optimized for analysis purposes. This copy contains all essential information in the appropriate format for analysis software, preserving data accuracy while avoiding the time-consuming process of manual model recreation. The copy is generated automatically through the transformation process.
Data Source
AI summary
A method includes accessing, via a processor, a first user selection relating to a location of a pipe segment of a piping model. The pipe segment includes data in a first format. The method includes accessing, via the processor, a second user selection relating to a point type based on a number of branches at the location of the pipe segment. The method includes determining, via the processor, a point associated with a route of the pipe segment. The point is based on the location and the point type. The route includes the point and at least one additional point. The method includes generating, via the processor, a representation of the route to be stored in a second format. The second format is associated with piping analysis.