针对目前产品模型交换过程中存在的数据丢失问题,对基于STEP交换文件的信息提取方法进行了研究。在信息提取阶段,采用自下而上的模式获取产品的相关信息,借助于相关元素列表结构,提出了特征提取方法并建立了产品特征模型。此特征模型可以通过改变特征关键参数的方式进行修正。
In order to deal with the problems of data dropout in exchange of product models, this paper presents information extracting methods from STEP exhange file. Product information is extracted from STEP file with down - top patten extracting method, and an intelligent feature recognition methodology by using a sturcture of relative elements list is proposed. Based on this methodology, a product feature model is established and this model can be ammended through the change of key elements of features.