摘要
为了使知识化制造系统具有自适应生产因素变化的能力,对表征先进制造模式的知识网进行改进,以赋予其动态自适应功能。基于多重集理论,提出包含静态和动态组成部分的动态知识网模型。定义了静态知识子网,提出了以信息匹配度、功能匹配度和功能完善匹配度表征的静态知识子网匹配度量方法,兼顾了静态知识子网的信息量和功能要素,以实现动态组织过程中的有效决策。给出依据匹配度的动态组织算法,实现知识化制造系统的自适应动态组织,并开发了相应的使能工具。通过实例验证了动态知识网模型和动态组织算法的可行性和实用性。
To make the knowledgeable manufacturing system possess the capability of self-adapling to the manufac-turing factors changing,the knowledge mesh describing the advanced manufacturing mode was improved for the dynamic seladaptive function.Based on the multiple set theory,dynamic knowledge mesh model consisting of thestatic and dynamic parts was presented.To describe the decision making basis during the dynamic organizationprocess,the concept of statistic sub-knowledge mesh was defined,and its matching measuring method characterizedby information matching degree,functional matching degree and functional perfection matching degree was presen-ted,in which the amount of information and function factors of the static sub-knowledge meshes were considered.The dynamic organization algorithm based on matching degree was conducted.The seladaptive dynamic organization of knowledgeable manufacturing system was implemented,and the corresponding enabling tool was developed.An example was used to verify the feasibility and practicability of the presented dynamic knowledge mesh model andorganization algorithm.
作者
王玉芳
严洪森
WANG Yu-fang;YAN Hong-sen(MOE Key Laboratory of Measurement&Control of Complex Systems of Engineering,Ministry of Education,Southeast University,Nanjing 210096,China;Department of Automation,Nanjing University of Information&Science Technology,Nanjing 210044.China:School of Automation,Southeast University,Nanjing 210096,China)
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2014年第12期3082-3090,共9页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金重点资助项目(60934008)
关键词
知识化制造系统
动态知识网
匹配度
自适应
动态组织
knowledgeable manufacturing system
dynamic knowledge mesh
matching degree
seladaptive
dy-namic organization
