Data Consistency and Conflict Avoidance in Multi-User CAx Environments ID: 2013-017
This thesis presents a novel method for maintaining data consistency and avoiding conflicts in collaborative CAx systems.
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Technology Overview
Robert A. Moncur's thesis introduces a methodology for enhancing data consistency in multi-user computer-aided design (CAx) environments. It focuses on implementing constraints such as feature locking, collaborative feature constraints, and collaborative user constraints to manage editing permissions and prevent data conflicts. The proof-of-concept is demonstrated through CATIA Connect, showcasing improved collaboration capabilities in CAD systems.
Key Advantages
- Enhances collaboration by allowing multiple users to simultaneously work on the same model without data conflicts
- Improves data protection and consistency across collaborative CAx environments
- Introduces a manageable system of locks and reservations to prevent unauthorized changes
Problems Addressed
- Prevents data conflicts in multi-user CAD environments
- Manages user permissions and feature editing in collaborative design projects
- Reduces the overhead associated with conflict resolution in collaborative CAx systems
Market Applications
- Collaborative computer-aided design (CAD) tools and plugins
- CAx systems requiring enhanced data consistency and conflict avoidance mechanisms
- Software solutions for collaborative engineering and design projects
Additional Information
Technology ID: 2013-017
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Date Published: 13 May, 2025
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