基于本体的注塑模改模知识表达与推理研究

中国机械工程 ›› 2014, Vol. 25 ›› Issue (1): 51-58,64.

基于本体的注塑模改模知识表达与推理研究

王毅1,2;陈庆新2;毛宁2

1.仲恺农业工程学院，广州，510225
2.广东工业大学，广州，510090

出版日期:2014-01-10 发布日期:2014-01-14
基金资助:
国家自然科学基金资助项目(50775042)；国家科技支撑计划资助项目(2006BAF01A43)；国家高技术研究发展计划(863计划)资助项目(2007AA04Z1A8)；广东省自然科学基金资助项目(S2011010002245)

Research on Representation and Reasoning for Ontology-based Injection Mould Repair Knowledge

Wang Yi1,2;Chen Qingxin2;Mao Ning2

1.Zhongkai University of Agriculture and Engineering，Guangzhou，510225
2.Guangdong University of Technology，Guangzhou，510090

Online:2014-01-10 Published:2014-01-14
Supported by:
National Natural Science Foundation of China（No. 50775042）;The National Key Technology R&D Program（No. 2006BAF01A43）;National High-tech R&D Program of China (863 Program) （No. 2007AA04Z1A8）;Guangdong Provincial Natural Science Foundation of China（No. S2011010002245）

摘要/Abstract

摘要：

改模知识存在描述不规范的问题，并需要从大量改模数据中推理出改模知识。在分析改模知识的基础上，提出了一种基于本体的多层知识表达与推理模型。借鉴现有的本体构建方法，定义了本体的概念、属性、关系、实例;建立了基于单层的改模知识推理规则和多层之间的改模知识推理规则，并设计了相应的推理算法。通过一个基于“批锋”缺陷的改模问题验证了基于本体的改模知识多层知识模型及其规则的正确性与可行性。

关键词: 注塑模, 改模知识, 本体表达, 知识推理

Abstract:

There were the description problems which were not standardized in the mould-repair knowledge. Knowledge reasoning was necessary to use knowledge effectively in making injection mould repair schemes. According to the analysis of injection mould repair knowledge, a multi-layer knowledge representation and reasoning model based on ontology for mould repair knowledge was put forward herein. The features of the mould-repair knowledge were analized， and the model of the knowledge expression was established. The concepts, attributes, relations, and instants of the ontology were defined with the ontology design methodology. The reasoning rules and algorithm for single layer and multi-layer ontology-based mould repair knowledge were designed. At last the example about the defect of “flashing” was representated and reasoned by the knowledge model to demostrate the validity and the feasibility.

Key words: injection mould, mould-repair knowledge, ontology-based representation, knowledge reasoning

中图分类号:

王毅, 陈庆新, 毛宁. 基于本体的注塑模改模知识表达与推理研究[J]. 中国机械工程, 2014, 25(1): 51-58,64.

Wang Yi, Chen Qingxin, Mao Ning. Research on Representation and Reasoning for Ontology-based Injection Mould Repair Knowledge[J]. China Mechanical Engineering, 2014, 25(1): 51-58,64.

参考文献

[1]郁滨，钟汉如. 智能消除注塑制品缺陷的研究[J]. 中国机械工程，2001，12(6)：624-628.
Yu Bin，Zhong Hanru. Research on Intelligent Method of Defect Correction for Injection Part[J]. China Mechanical Engineering, 2001，12(6)：624-628.
[2]金新明，朱学峰. 一种用于注塑过程参数设定的智能方法[J]. 中国机械工程，2001，12(10)：1162-1164.
Jin Xinming，Zhu Xuefeng. An Intelligent Method for Setting of Injection Process Parameters[J]. China Mechanical Engineering，2001，12(10)：1162-1164.
[3]陈晨，毛宁，陈庆新. 基于变精度粗糙集的改模知识分层递阶归纳[J]. 计算机集成制造系统，2009，15(11)：2259-2265.
Chen Chen，Mao Ning，Chen Qingxin. Knowledge Hierarchical Induction for Injection Mould Repairs Based on Variable Precision Rough Sets[J]. Computer Integrated Manufacturing Systems，2009，15(11)：2259-2265.
[4]沈卫华，毛宁，陈庆新，等. 基于客户沟通与设计评审的模具设计知识管理系统[J]. 模具工业，2006，32(1)：10-13.
Shen Weihua，Mao Ning，Chen Qingxin，et al. Management System for the Mould Design Knowledge Based on Communication with Customer and Design Review[J]. Die & Mould Industry，2006，32(1)：10-13.
[5]杜松晏，毛宁，陈庆新. 基于OWL语言的注塑模改模知识表示方法[J]. 中国制造业信息化，2010，39(9)：11-16.
Du Songyan，Mao Ning，Chen Qingxin. The Representation of Knowledge for Injection Mould Modification Based on OWL[J]. Manufacture Information Engineering of China，2010，39(9)：11-16.
[6]熊平原，王毅，毛宁，等. 基于压铸模本体的领域概念自动抽取方法研究[J]. 机械设计与制造，2011(7)：224-225.
Xiong Pingyuan，Wang Yi，Mao Ning，et al. Study on Automatic Domain Concept Extraction Based on Casting Mould Ontology[J]. Machinery Design ＆ Manufacture，2011(7)：224-225.
[7]陈磊，潘翔，叶修梓，等. 基于本体的产品知识表达和检索技术研究[J]. 浙江大学学报(工学版)，2008，42(12)：2037-2042.
Chen Lei，Pan Xiang，Ye Xiuzi，et al. Ontology-based Product Knowledge Representation and Retrieval[J]. Journal of Zhejiang University(Engineering Science)，2008，42(12)：2037-2042.
[8]黄卫东，王有远，谢强，等. 基于本体的设计知识检索研究[J]. 中国机械工程，2007，18(21)：2566-2569.
Huang Weidong，Wang Youyuan，Xie Qiang，et al. Research on Management of Design Knowledge Based on Ontology in the Integrated Product Development[J]. China Mechanical Engineering， 2007，18(21)：2566-2569.
[9]余旭，刘继红，何苗. 基于领域本体的复杂产品设计知识检索技术[J]. 计算机集成制造系统，2011，17(2)：225-231.
YuXu，Liu Jihong，He Miao. Design Knowledge Retrieval Technology Based on Domain Ontology for Complex Products[J]. Computer Integrated Manufacturing Systems，2011，17(2)：225-231.
[10]周扬，李青. 飞机故障知识的本体建模及语义检索[J]. 计算机工程与应用，2011，47(8)：12-15.
Zhou Yang，Li Qing. Ontology Modeling and Semantic Retrieval for Aircraft Fault Knowledge[J]. Computer Engineering and Application，2011，47(8)：12-15.
[11]Chen Yuh-Jen. Development of a Method for Ontology-based Empirical Knowledge Representation and Reasoning[J]. Decision Support Systems，2010，50：1-20.
[12]Guo T，Schwartz D G，Burstein F，et al. Codifying Collaborative Knowledge Using Wikipedia as a Basis for Automated Ontology Learning[J]. Knowledge Management Research & Practice，2009(7)：206-217.
[13]Foguem B K，Coudert T，Béler C，et al. Knowledge Formalization in Experience Feedback Processes：An Ontology-based Approach[J]. Computers in Industry，2008，59(7)：694-710.
[14]Bradley J H，Paul R，Seeman E. Analyzing the Structure of Expert Knowledge[J]. Information & Management，2006，43(1)：77-91.
[15]Schulz S，Hahn U. Part-whole Representation and Reasoning in Formal Biomedical Ontologies[J]. Artificial Intelligence in Medicine，2005，34(3)：179-200.
[16]Xu W L，Kuhnert L，Foster K，et al. Object-oriented Knowledge Representation and Discovery of Human Ehewing Behaviors[J]. Engineering Applications of Artificial Intelligence，2007，20 (7)：1000-1012.