A Distributed Version Control System for CAD Data Based on Branch and Baseline

Abstract

The invention relates to a CAD data distributed version control system based on branches and baselines, a remote central data warehouse and multiple local data warehouses, which solves the independence of engineers' work, ensures the sharing and transmission of product data at the same time, and achieves parallel design effect, and can reduce the redundancy of the remote central data warehouse. There is a data management branch in the remote central data warehouse. The data management branch includes the development branch, the trial production branch, the release branch and the change branch, ensuring that CAD data is managed throughout the product life cycle. The traceability in the system ensures the independence of the development of new features and the repair of change problems, and facilitates the adjustment of customer needs to meet the differentiated needs of customers. When a disaster occurs in the remote central data warehouse and cannot be recovered, the local data can be saved The clone copy of the warehouse completely restores product data and process data, achieving distributed storage management and improving CAD data security.

Description

technical field [0001] The invention relates to the technical field of data management, in particular to a CAD data distributed version control system based on branches and baselines. Background technique [0002] Centralized version control is currently the mainstream method of PDM / PLM (product data management / product lifecycle management) management structure and historical change records of electronic engineering documents in the industry, that is, engineering documents are stored in the central server. Server check-out (check out) product / project engineering file copy, after the modification is completed, directly submit the completed work to the central server, the whole process is an exclusive behavior, that is, when the engineering file is copied After checking out, other engineers cannot perform any operations on the project file. [0003] In the future-oriented complex and changeable product development environment and enterprise digital transformation process, cen...

AI Technical Summary

Problems solved by technology

[0003] In the future-oriented complex and changeable product development environment and enterprise digital transformation process, centralized version control is facing many challenges. For example, under the theme of parallel, multi-scheme, and customer-oriented design, centralized version control management of product CAD data will bring The following typical problems: 1. Lack of support for parallel design, centralized version control is a free and exclusive data control method, which cannot effectively face the design team for parallel research and development based on product characteristics, that is, the iterative update of each version needs to wait for the previous one Engineers can continue after releasing resources; 2. Cause a lot of unnecessary version redundancy, because engineers want to keep the changes in their design process, they will submit a lot of copies of CAD data in the middle process to the service, but in most cases there are many The version of the intermediate process has no guiding and reference function for the product design team, resulting in a large amount of redundancy in the central CAD data warehouse, which brings the complexity of version traceability and seriously wastes system resources; 3. Lack of product CAD data Version dependence and tracking capabilities, product development needs to go through detailed design, verification, trial production, mass production, and after-sales, and engineering changes span many stages of product development, and even derivative product versions will appear in the process of facing different customers To meet the differentiated needs of customers, in fact, product data in these processes often have dependencies and associations. Centralized version control cannot distinguish the R&D stage of the indicated data, nor can it express the customer needs corresponding to the data; 4. Missing change impact analysis, Because the centralized version control cannot distinguish between the R&D stage of the indicated data and the specific customer version, there is no technical support for the analysis and execution of change management, and the change cannot be effectively transmitted; 5. There are hidden dangers in data security, and some accidental factors lead to the mirroring of the central version Unrecoverable due to disasters, the security of product R&D data, which is the core competitiveness of enterprises, also poses great challenges

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