以基于过程恢复的特征数据交换框架为背景,研究了异构特征模型的提取与重建这一关键问题,包括一阶特征信息的提取,二阶特征信息的提取以及模型的重建。实验结果验证了本方法的合理性,从而有效提高和补充了现有方法的不足,把特征数据交换技术向前推进了一步。
According to the framework of procedure recovery in feature-based data exchange, this paper discusses the key issues of feature extraction and reconstruction, including the extraction of first-order feature information, extraction of second-order feature information and the reconstruction of feature model. The proposed methods have been tested in experiments. The result shows that the approach has efficiently improved the former methods.