锻压技术

模具设计知识表示方法

英文标题：Representation method on mold design knowledge

单位：（1.中国航发西安动力控制科技有限公司陕西西安 710000 2.西北工业大学机电学院陕西西安 710072）

分类号：TG385.2

出版年,卷(期):页码：2023,48(6):176-184

摘要：

设计知识有效表示是模具智能化设计的前提和基础，对提高模具设计质量和效率具有重要的作用和意义。首先，对传统知识表示方法如谓词逻辑、产生式、框架、语义网络、面向对象和基于本体表示法的基本原理以及研究现状进行了总结。然后，对比分析了不同知识表示方法的优缺点，分析了知识表示的发展趋势并介绍了知识图谱的基本概况。最后，结合知识特点，将模具知识分为3类，即事实类知识、规则类知识和实例类知识。阐述了基于知识图谱进行知识表示的基本流程，主要包括：信息抽取、知识融合和知识加工，并以凸模结构形式（部分）知识为例，完成了相关知识图谱的构建。

Effective representation of design knowledge is a prerequisite and foundation for intelligent design of mold, which plays an important role and significance in improving the quality and efficiency of mold design. Firstly, the basic principles and research status of traditional knowledge representation methods such as predicate logic, production, framework, semantic network, object-oriented and representation of ontology were summarized. Then, the advantages and disadvantages of different knowledge representation methods were compared, the development trends of knowledge representation were analyzed, and the basic overview of knowledge graph was introduced. Finally, based on the characteristics of knowledge, the mold knowledge was divided into three categories: practical knowledge, rule knowledge and instance knowledge, and the basic process of knowledge representation through knowledge graph was elaborated, mainly including information extraction, knowledge fusion and knowledge processing. In addition, taking the punch structure form (partial) knowledge as an example, the relevant knowledge graph construction was completed.

基金项目：

中国航发自主创新专项资金项目（ZZCX-2019-026）

李宝清（1983-），男，本科，工程师

参考文献：

［1］张攀, 王波, 卿晓霞. 专家系统中多种知识表示方法的集成应用
［J］. 微型电脑应用, 2004, 20(6): 4-6.

Zhang P, Wang B, Qing X X. On integration of several knowledge representations in the expert system
［J］. Microcomputer Applications, 2004, 20(6): 4-6.

［2］王湘云. 一阶谓词逻辑在人工智能知识表示中的应用
［J］. 重庆工学院学报：社会科学版, 2007，123(9): 69-71.

Wang X Y. The application of first order predicate logic in the field of knowledge representation of artificial intelligence
［J］. Journal of Chongqing Institute of Technology：Social Science Edition, 2007,123(9): 69-71.

［3］Lu J, Ou C Y, Liao C, et al. Formal modelling of a sheet metal smart manufacturing system by using petri nets and first-order predicate logic
［J］. Intelligent Manufacturing, 2021, 34(4): 1-21.

［4］李国昌, 杨仙. 冷弯成型过程智能化的知识表示方法研究
［J］. 焊管, 2015, 38(8): 20-23.

Li G C, Yang X. Research on the intelligent methods of knowledge representation in cold-roll forming process
［J］. Welded Pipe, 2015, 38(8): 20-23.

［5］Kushida H, Haralick R. First-order logic as a constraint satisfaction problem
［J］. Progress in Artificial Intelligence, 2021, 10(4): 375-389.

［6］李慧清. 机械产品设计知识建模及应用
［D］. 杭州：浙江大学, 2011.

Li H Q. Research on the Modeling and Application of Mechanical Product Design Knowledge
［D］. Hangzhou: Zhejiang University, 2011.

［7］宋久鹏. 汽车方案设计智能决策支持系统的开发技术研究
［D］. 成都：西南交通大学, 2002.

Song J P. Research on the Development Technology of Intelligent Decision Support System for Automobile Conceptual Design
［D］. Chengdu: Southwest Jiaotong University, 2002.

［8］杨宪泽. 产生式规则的研究
［J］. 西南民族大学学报:自然科学版, 1994,20(1): 22-27.

Yang X Z. A study on production rules
［J］. Journal of Southwest Nationalities College: Natural Science Edition, 1994,20(1): 22-27.

［9］岳喜娜. 基于BIM的梁式桥快速建模专家系统研究
［D］. 西安:西安理工大学, 2019.

Yue X N. Research on Expert System for Rapid Modeling of Beam Bridge Based on Bim
［D］. Xi′an：Xi′an University of Technology, 2019.

［10］李猛,曹春平,孙宇.基于专家系统的离合器制动器故障诊断
［J］.锻压技术, 2017, 42(12): 163-169.

Li M, Cao C P, Sun Y. Fault diagnosis for clutch and brake based on expert system
［J］. Forging & Stamping Technology, 2017, 42(12): 163-169.

［11］杨宇希. 基于专家系统的CTCS-3级车载测试结果分析与评估方法的研究
［D］. 北京：北京交通大学, 2016.

Yang Y X. An Expert System Approach for Analyzing and Evaluating the Testing Results of Ctcs-3 On-Board Equipment
［D］. Beijing：Beijing Jiaotong University, 2016.

［12］黄利江, 田锡天, 贾晓亮, 等. 融合规则的典型工艺表示与工艺决策方法研究
［J］. 西北工业大学学报, 2009, 27(5): 583-589.

Huang L J, Tian X T, Jia X L, et al. Exploring rule-fused technology for typical process representation and automatic process decision
［J］. Journal of Northwestern Polytechnical University, 2009, 27(5): 583-589.

［13］王诚. 齿轮精度设计及加工误差分析智能系统研究
［D］. 长沙：长沙理工大学, 2010.

Wang C. The Research about Intelligent System of Gear Precision Design and Machining Errors Analysis
［D］. Changsha：Changsha University of Science & Technology, 2010.

［14］刘佳, 郑敏利, 姜彬，等. 基于知识的高速面铣刀设计系统研究
［J］. 工具技术, 2009, 43(10): 22-25.

Liu J, Zheng M L, Jiang B, et al. Research on design system of high speed face milling cutter based on knowledge
［J］. Tool Engineering, 2009, 43(10): 22-25.

［15］李新, 徐宁. 基于知识重用的刀具选配技术研究
［J］. 航空制造技术, 2015,474(5): 82-84.

Li X, Xu N. Research on tool selection technology based on knowledge reuse
［J］. Aeronautical Manufacturing Technology, 2015,474(5): 82-84.

［16］路浩, 汪认, 魏艳红. 高速动车焊接工艺评定专家系统研制
［A］. 中国机械工程学会焊接学会.中国机械工程学会焊接学会第十八次全国焊接学术会议
［C］. 南昌，2013.

Liu H, Wang R, Wei Y H. Development of welding procedure qualification expert system for high speed motor car
［A］. Welding Society of China Society of Mechanical Engineering. Proceedings of the 18th National Welding Academic Conference of Welding Society of China Society of Mechanical Engineering
［C］. Nanchang，2013.

［17］刘尚仁. 基于知识的汽车焊装夹具智能化CAD系统模型和知识库的研究与开发
［D］. 烟台：烟台大学, 2007.

Liu S R. Research and Development of Intelligent CAD System Model and Knowledge Base of Automobile Welding Fixture Based on Knowledge
［D］. Yantai：Yantai University, 2007.

［18］Li H C, Zhou K Q, Mo L P, et al. Weighted fuzzy production rule extraction using modified harmony search algorithm and BP neural network framework
［J］. IEEE Access, 2020, 8:186620-186637.

［19］朱光菊, 夏幼明. 框架知识表示及推理的研究与实践
［J］. 云南大学学报:自然科学版, 2006, 28(1): 154-157.

Zhu G J, Xia Y M. Research and practice of frame knowledge representation
［J］. Joumal of Yunnan University: Natural Science Edition, 2006, 28(1): 154-157.

［20］王永庆. 人工智能原理与方法
［M］. 西安: 西安交通大学出版社, 1998.

Wang Y Q. Principles and Methods of Artificial Intelligence
［M］. Xi′an: Xi′an Jiaotong University Press, 1998.

［21］汤文宇, 李玲娟. CBR方法中的案例表示和案例库的构造
［J］. 西安邮电学院学报, 2006, (5): 75-78.

Tang W Y, Li L J. The representing of case and construction of case base by CBR method
［J］. Journal of Xi′an University of Post and Telecommunications, 2006, (5): 75-78.

［22］李太福, 黄茂林, 赵明富. 旋转机械故障诊断的框架知识表示
［J］. 辽宁工程技术大学学报, 2002,(5): 633-636.

Li T F, Huang M L, Zhao M F. Fault diagnosis knowledge representation of rotary machinery based on frame structure
［J］. Journal of Liaoning Technical University, 2002,(5): 633-636.

［23］Mandolini M, Campi F, Favi C, et al. A framework for analytical cost estimation of mechanical components based on manufacturing knowledge representation
［J］. International Journal of Advanced Manufacturing Technology, 2020, 107(3): 1131-1151.

［24］Wei X B, Yuan H, Wang H, et al. Intelligent design for automotive interior trim structures based on knowledge rule-based reasoning
［J］. International Journal of Automotive Technology,2021, 21(5): 1149-1167.

［25］张永春, 周洪, 王秀凤, 等. 基于知识工程的冷冲压模具设计系统
［J］. 锻压技术, 2013,38(3): 125-128.

Zhang Y C, Zhou H, Wang X F, et al. Cold stamping die design system based on knowledge engineering
［J］. Forging & Stamping Technology, 2013, 38(3): 125-128.

［26］张孝木. 客车驱动桥壳智能化CAE系统的知识表示研究
［J］. 科技资讯, 2014, 12(10): 84-85.

Zhang X M. Research on knowledge representation of intelligent CAE system for bus drive axle housing
［J］. Science & Technology Information, 2014, 12(10): 84-85.

［27］黄德浩, 杨宗源, 黄海涛. 基于框架表示的组件库模型
［J］. 计算机工程, 2002,(7): 111-112,139.

Huang D H, Yang Z Y, Huang H T. A component library model based on frame representation
［J］. Computer Engineering, 2002,(7): 111-112,139.

［28］张立志, 李原, 余剑峰. 复杂产品系统的风险管理实现研究
［J］. 航空制造技术, 2009,331(9): 94-97.

Zhang L Z, Li Y, Yu J F. Implementation on risk management of complex product system
［J］. Aeronautical Manufacturing Technology, 2009,331(9): 94-97.

［29］柯旭贵, 张佑生. 基于实例推理的冲压模结构设计的框架知识表示
［J］. 计算机工程与应用, 2002,(13): 254-256.

Ke X G, Zhang Y S. Knowledge representation of the die structure design on frame with case-based reasoning
［J］. Computer Engineering and Applications, 2002,(13): 254-256.

［30］李洁, 丁颖. 语义网、语义网格和语义网络
［J］. 计算机与现代化, 2007,143(7): 38-41.

Li J, Ding Y. Semantic web, semantic grid and semantic network
［J］. Computer and Modernization, 2007,143(7): 38-41.

［31］Ma Q, Isahara H. Semantic networks represented by adaptive associative memories
［J］. Neurocomputing, 2000, 34: 207-225.

［32］Sarica S, Luo J. Design knowledge representation with technology semantic network
［A］. The Design Society. Proceedings of the Design Society
［C］.Cambridge: Cambridge University Press, 2020.

［33］Che L Q, Wang P, Dong H, et al. An artificial intelligence based data-driven approach for design ideation
［J］. Journal of Visual Communication and Image Representation, 2019, 61: 10-22.

［34］刘璨. 基于特征的零件知识语义网络表示法
［J］. 机电工程技术, 2003，(6): 49-50.

Liu C. Approach of semantic network for representing feature based knowledge of part
［J］. Mechanical & Electrical Engineering Technology, 2003,(6): 49-50.

［35］顾复, 张树有. 基于语义网络的产品建模及配置方案搜索
［J］. 浙江大学学报:工学版, 2010, 44(9): 1692-1697.

Gu F, Zhang S Y. Semantic web based product modeling and configuration searching method
［J］. Journal of Zhejiang University：Engineering Science, 2010, 44 (9): 1692-1697.

［36］郑金桥, 王义林, 李志刚. 基于知识工程的大型复杂冲压件工艺方案设计
［J］. 中国机械工程, 2004,(16): 16-20.

Zheng J Q, Wang Y L, Li Z G. Knowledge-based process planning for large complicated stampings
［J］. China Mechanical Engineering, 2004,(16): 16-20.

［37］徐宝祥, 叶培华. 知识表示的方法研究
［J］. 情报科学, 2007, 25(5): 690-694.

Xu B Y, Ye P H. Research on the method of knowledge representation
［J］. Information Science, 2007, 25(5): 690-694.

［38］陈德锐. 面向对象的知识表示方法与知识库构建研究
［D］. 杭州：浙江工业大学, 2016.

Chen D R. The Research of Object Oriented Knowledge Representation and Construction of Knowledge Base
［D］. Hangzhou: Zhejiang University of Technology, 2016.

［39］刘晓慧. 面向对象的知识表示方法研究
［J］. 电脑学习, 2010,146(1): 135-137.

Liu X H. Research on object-oriented knowledge representation method
［J］. Computer Learning, 2010,146(1): 135-137.

［40］朱玲利, 孙亦博. 回转窑专家系统综合知识表示方法的研究
［J］. 洛阳师范学院学报, 2015, 34(8): 68-71.

Zhu L L, Sun Y B. Research on knowledge presentation methods in expert system for rotary kiln
［J］. Journal of Luoyang Normal University, 2015, 34(8): 68-71.

［41］周梦杰, 蒋国璋. 面向对象混合知识表示方法在钢铁一体化生产中的应用
［J］. 现代制造工程, 2016,430(7): 30-34.

Zhou M J, Jiang G Z. Application of object-oriented representation in the integrated steel production
［J］. Modern Manufacturing Engineering, 2016,430(7): 30-34.

［42］刘钊. 数控机床设计知识库系统知识获取、表示及推理研究
［J］. 机械制造与自动化, 2012, 41(2): 118-120.

Liu Z. Study of knowledge acquisition, representation and reasoning of knowledge base system in cnc machine tools design
［J］. Machine Building & Automation, 2012, 41(2): 118-120.

［43］周伟祝, 宦婧. 新的面向对象知识表示方法
［J］. 计算机应用, 2012, 32(S2): 16-18.

Zhou W Z, Huan J. New object-oriented knowledge representation method
［J］. Journal of Computer Applications, 2012, 32(S2): 16-18.

［44］于芳芳, 郑国磊, 陈树林, 等. 飞机整体壁板智能数控编程系统
［J］. 航空制造技术, 2008, 320(23): 83-88.

Yu F F, Zheng G L, Chen S L, et al. Intelligent NC programming system of aircraft integral panel
［J］. Aeronautical Manufacturing Technology, 2008, 320(23): 83-88.

［45］Gruber T R. A translation approach to portable ontology specifications
［J］. Knowledge Acquisition, 1993, 5(2): 199-220.

［46］Gruber T R. Toward principles for the design of ontologies used for knowledge sharing
［J］. International Journal of Human-Computer Studies, 1995, 43(5-6): 907-928.

［47］Huang X Q, Tang J Y, Tan Z, et al. Knowledge graph embedding by relational and entity rotation
［J］. Knowledge-Based Systems, 2021, 229(11): 20-31.

［48］Novacek V，Mcgauran G，Matallanas D，et al. Accurate prediction of kinase-substrate networks using knowledge graphs
［J］. Cold Spring Harbor Laboratory, 2019, 16(12): 1-30.

［49］Panisson A R, Bordini R H. Knowledge representation for argumentation in agent-oriented programming languages
［A］. IEEE. Brazilian Conference on Intelligent Systems
［C］. Recife(BR): 2016.

［50］Chhim P, Chinnam R B, Sadawi N. Product design and manufacturing process based ontology for manufacturing knowledge reuse
［J］. Journal of Intelligent Manufacturing, 2019,(30): 905-916.

［51］Li Z, Zhou X W, Wang W M, et al. An ontology-based product design framework for manufacturability verification and knowledge reuse
［J］. International Journal of Advanced Manufacturing Technology, 2018,(99): 2121-2135.

［52］艾鑫. 基于语义的航空材料标准知识管理研究
［D］. 西安:西安工业大学, 2021.

Ai X. Research on Knowledge Management of Aviation Material Standards Based on Semantics
［D］. Xi′an: Xi′an Technological University, 2021.

［53］Zhou Q, Yan P, Liu H Y, et al. A hybrid fault diagnosis method for mechanical components based on ontology and signal analysis
［J］. Journal of Intelligent Manufacturing, 2017, (6): 1-23.

［54］顾黎, 李澍, 王哲, 等. 面向重用的MBD模型本体知识库构建技术研究
［J］.航空制造技术, 2017,537(18): 100-105.

Gu L, Li S, Wang Z, et al. Research on construct technology of mbd model ontology knowledge base oriented to reuse
［J］. Aeronautical Manufacturing Technology, 2017,537(18): 100-105.

［55］刘旭. 融合CBR与知识图谱的冲压模具设计知识表示
［D］. 大连:大连理工大学, 2019.

Liu X. Knowledge Representation Combining Case-Based Reasoning with Knowledge Graphs for Stamping Die Design
［D］. Dalian：Dalian University of Technology, 2019.

［56］张田会, 张发平, 阎艳, 等. 基于本体和知识组件的夹具结构智能设计
［J］. 计算机集成制造系统, 2016, 25(5): 1165-1178.

Zhang T H, Zhang F P, Yan Y, et al. Intelligent fixture configuration design based on ontology and knowledge components
［J］. Computer Integrated Manufacturing Systems, 2016, 25(5): 1165-1178.

［57］李长杰, 明新国, 邱坤华, 等. 基于本体的飞机工装设计知识表示方法
［J］. 中国机械工程, 2014, 25(19): 2614-2619.

Li C J, Ming X G, Qiu K H, et al. Knowledge representation method for aircraft tooling design based on ontology
［J］. China Mechanical Engineering, 2014, 25(19): 2614-2619.

［58］贠周会, 徐龙, 宋利康，等. 基于本体的航空产品钣金件工艺知识获取与表示研究
［J］. 航空制造技术, 2014，446(Z1): 111-114.

Yuan Z H, Xu L, Song L K, et al. Knowledge acquisition and representation of aircraft sheet metal part based on ontology
［J］. Aeronautical Manufacturing Technology, 2014,446(Z1): 111-114.

［59］朱文博, 李爱平, 刘雪梅. 基于本体的冲压工艺知识表示方法研究
［J］. 中国机械工程, 2006，(6): 616-620.

Zhu W B,Li A P, Liu X M. Research on knowledge representation for stamping process based on ontology
［J］. China Mechanical Engineering, 2006,(6): 616-620.

［60］李丽英,刘德仿,周临震,等.本体混合型知识表示在组合机床夹具设计系统中的应用
［J］. 机械设计, 2011, 28(4): 89-92.

Li L Y, Liu D F, Zhou L Z, el at. Application of ontology hybrid knowledge representation in fixture design system of modular machine tool
［J］. Journal of Machine Design, 2011, 28(4): 89-92.

［61］姜少飞, 卢纯福, 鲁聪达, 等. 用于机加工产品设计过程降低成本求解的知识表示方法
［J］. 机械工程学报, 2007,(3): 89-94.

Jiang S F, Lu C F, Lu C D, et al. New method of machining product knowledge representation for solution of cost reduction in design process
［J］. Chinese Journal of Mechanical Engineering, 2007,(3): 89-94.

［62］陈军, 石晓祥, 赵震，等. 汽车覆盖件冲压工艺设计KBE系统中的知识表示技术
［J］. 金属成形工艺, 2003, 21(1): 49-52.

Chen J, Shi X X, Zhao Z, et al. Knowledge representation techniques in auto panel stamping process design KBE system
［J］. Metal Forming Technology, 2003, 21(1): 49-52.

［63］Hka B, Pw A, Yan L A, et al. Machine learning and knowledge graph based design rule construction for additive manufacturing
［J］. Additive Manufacturing, 2020, 37: 1-16.

［64］梁蕾, 宋庆明, 康陆佳, 等. 总装制造工艺知识图谱的构建
［J］. 现代计算机, 2022, 28(8): 59-62.

Liang L, Song Q M, Kang L J，et al. Construction of knowledge graph for final assembling process
［J］. Modern Computer, 2022, 28(8): 59-62.

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