a.机械与动力工程学院 上海交通大学 上海 200240
b.航空航天学院 上海交通大学上海 200240
收稿日期:
2020-09-30出版日期:
2021-10-28发布日期:
2021-11-01通讯作者:
陈泳E-mail:mechenyong@sjtu.edu.cn作者简介:
王天龙(1995-),男,浙江省金华市人,硕士生,主要从事智能工艺设计、系统工程研究.Modeling and Application of Complex Process Knowledge for Determining Parameters
WANG Tianlonga, CHEN Yongb(), LIU Mengfeiaa. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
b. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China
Received:
2020-09-30Online:
2021-10-28Published:
2021-11-01Contact:
CHEN Yong E-mail:mechenyong@sjtu.edu.cn摘要/Abstract
摘要: 为实现智能化的工艺设计,开展工艺参数决策知识建模方法研究.首先,介绍各类工艺信息的模型表示方法,并建立基于二叉树的公式类工艺知识模型与基于有序树的表格类工艺知识模型.在此基础上,提出工艺知识复合模型,以实现工艺模板与选型知识、公式类工艺知识及表格类工艺知识的有机集成.开发基于知识的智能工艺设计系统,并以某复杂电缆产品的工艺设计过程为例,对以上建模方法进行应用验证.研究表明,所提方法可以提升智能工艺设计系统的参数决策能力,并可提高工艺设计的效率与质量.
关键词: 工艺知识模型, 工艺信息模型, 公式知识模型, 表格知识模型, 智能工艺设计
Abstract: To develop an intelligent process design system, a process knowledge modeling approach is proposed to help engineers determine the values of parameters. First, various models are introduced to represent different kinds of process information. Then, a binary tree-based approach is proposed for representing formula-based process knowledge, together with an ordered tree-based approach for representing table-based process knowledge. Thereafter, an aggregate model of process knowledge is established, which can effectively integrate process template with route selection knowledge, formula-based process knowledge, and table-based process knowledge. Finally, a knowledge-based prototype system for intelligent process design is developed. The process design of a complex cable product is taken as an example to verify the modeling method. The result demonstrates that the proposed approach can enhance the decision-making capability of an intelligent process design system, which can thus improve the efficiency and quality of process design.
Key words: process knowledge model, process information model, formula knowledge model, table knowledge model, intelligent process design
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