基于Web的智能CAPP系统的研究

从CAPP系统结构研究出发，利用特征技术，建立便于知识处理和规则学习的模糊神经网络工艺知识表达与生成模型，实现了CAPP系统结构的可迭加性和方法与数据的分离。应用特征技术表示产品的几何信息和工艺信息，实现了零件特征级工艺知识和工艺规程的组合与重用。在此基础上，采用异地分布式结构，便于网络模式下CAPP功能的实现，使CAPP能满足网络环境下快捷有效的信息传输和资源利用，是基于Web的CAPP系统有利于智能化与通用化实现的结构模式。给出了应用实例。

Research on Web-based Intelligent CAPP System

In this paper, from the research of CAPP system structure and by using the feature technique, a mode is built up , which is convenience to deal with knowledge and learning rule, to represent and create fuzzy ANN process knowledge, and the CAPP system structure superposition and the separation between method and data are implemented. In order to implement the reusing and combining process knowledge with process planning at the part-feature-level(the geometry structure element of part), the representation of product's geometry and process information by using feature technique are adopted. Based on the above foundation, by using the asynchronous distributed architecture, the function of CAPP is convenient to implement in the Internet mode, and the CAPP can meet the demands of quick information transfer and resource usage in the network environment. And the web-based CAPP structure mode is produced, which is convenient to implement the intelligentization and generalization. Finally, an example is given.