Method of distributed machinery part model base integration and system therefor

Abstract

The invention relates to a distributed mechanism part module base integer method and system. The method uses a plurality of distributed part base to provide a regularity interface which can be automatically connected with the internet, an integer server used to visit the interface and obtain the catalog information of the corporation part base to form an integer part system. The corporation part base provides three interfaces which can support the integer of the part and also support use directly uses the corporation part base. The system is formed by a plurality of corporation part bases connecting with the integer server and the integer database system by the internet; the corporation part base possesses a part graphic file, a database system, a corporation part base server and a client end computer.

Description

technical field [0001] The invention relates to a method and a system for integrating a model library of distributed mechanical parts. Background technique [0002] A recent survey shows that 80% of American engineers hope that component suppliers can provide ready-made 2D or 3D CAD component files through the Internet. 60% of respondents admitted that they would prefer to choose a provider that provides such services. Among the downloaded 3D model files, about 80% to 90% of the models are added to the customer's design proposal and purchased. [0003] The Internet-based mechanical parts model library provides a platform for parts suppliers to store the CAD models and technical description documents of the parts they produce, and to describe various information about the parts in detail. Product designers can search for some parts they need through the platform website, download the obtained parts CAD files to the local computer, and then import them into their own CAD des...

AI Technical Summary

Problems solved by technology

This method faces several problems: ①The equipment is huge, and data concentration needs to be large enough and fast enough. Even if the equipment supports it, the cost is very high, and it is difficult to adapt to the rapid growth of data; ②Real-time update is difficult, and it is difficult to ensure the timeliness of data; ③The load of the central equipment is heavy, and the fault-tolerant performance of the system is reduced. Failure of the central equipment may lead to the paralysis of the entire system; ④The obstacle of network congestion may also be encountered

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