3D Model Data Transmission via Automated Detail-State Reduction
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Solution Overview
Problem
The existing methods for exchanging 3D model data between different entities in the engineering industry are cumbersome and error-prone, as they require manual adaptation to meet varying security levels, posing a security risk and inefficiency in data transmission.
Innovation Solution
A method that uses a reduction algorithm to automatically generate reduced reference versions of 3D models based on context-specific detail-states, accessed through a rules engine, ensuring secure and efficient data transmission tailored to the requirements of each receiving entity, including smart glasses for augmented reality applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adaptation of 3D model data is performed to meet varying security levels, then data security is improved, but the process becomes cumbersome and error-prone
Solution Approach 1:
The system performs preliminary actions by pre-defining security levels and associated rules in a rules database before data exchange occurs. When 3D model data needs to be exchanged, the system automatically retrieves and applies the appropriate pre-configured security level based on the receiving entity's authorization, eliminating the need for manual adaptation while maintaining data security.
2Reliability
If manual deletion of critical data is performed one after another, then data security is improved, but productivity decreases and errors increase
Solution Approach 1:
The system replaces the mechanical manual process of deleting critical data with an automated information processing system. The reduction algorithm automatically identifies and removes critical data elements based on the applicable security level rules, substituting human manual operations with automated computational processes that are both faster and more reliable.
3Reliability
If different security levels are applied to different receiving entities, then data security is improved, but the complexity of data management increases
Solution Approach 1:
The system manages complexity by parameterizing security levels with specific identifiers and associated rule sets. Each receiving entity is assigned a security level parameter, and the system automatically selects and applies the corresponding parameter set from the rules database, transforming a complex manual management task into a simple parameter-based automated selection process.
Data Source
AI summary
Various embodiments include a method for preparing a three-dimensional model for a fabrication component in the context of production for data transmission to different receiving entities comprising: receiving three-dimensional model data via an input interface; providing a detail-state for processing of the three-dimensional model on the respective receiving entity; and executing a reduction algorithm on a reference version of the received three-dimensional model data for automatically calculating and providing a reduced reference version with the provided detail-state.