多层次多粒度采煤机创新设计知识表达方法
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摘要
针对现有知识表达方法难以全面有效地表达采煤机创新设计知识、采煤机专题知识库对知识的表达不够全面和检索效率不高等问题,为实现采煤机创新设计知识和经验的重用,激发设计者进行知识类比迁移的能力,提出了多层次多粒度采煤机创新设计知识表达方法。提取参数、结构、功能、原理、效应和领域等6种属性,用不同抽象粒度的知识对属性进行描述,每一个粒度又分别对应着概念层、语义关系层、实例层等抽象层面。通过特征属性描述生成知识条目,构建了多层次多粒度采煤机创新设计知识库,并通过本体推理和语义扩展从本地知识库和互联网资源检索得到不同层次不同粒度的知识,从而实现采煤机创新设计知识的多层次多粒度表达。以采煤机滚筒结构改进设计为例验证了该方法的可行性。
In view of problems that existing knowledge expression methods are difficult to fully and effectively express innovative design knowledge of shearer,and knowledge expression of existing special knowledge base is not comprehensive enough and its retrieval efficiency is not high,in order to realize reuse of innovative design knowledge and experience of shearer,inspire ability of knowledge analogy transfer by designers,a multi-level and multi-granularity knowledge innovative design expression method of shearer was proposed.Six attributes are extracted including parameter,structure,function,principle,effect and domain.The attributes are described by knowledge with different abstract granularity,each granularity corresponds to abstraction levels of concept layer,semantic relationship layer and instance layer.Knowledge items are generated through feature attribute description,and multi-level and multigranularity innovative design knowledge base of shearer is constructed.Through ontology reasoning and semantic extension,knowledge of different levels and different granularities is retrieved from local knowledge base and Internet resources,thus realizes multi-level and multi-granularity expression of innovative design knowledge of the shearer.The feasibility of the method was verified by improved structure design of shearer drum.
In view of problems that existing knowledge expression methods are difficult to fully and effectively express innovative design knowledge of shearer,and knowledge expression of existing special knowledge base is not comprehensive enough and its retrieval efficiency is not high,in order to realize reuse of innovative design knowledge and experience of shearer,inspire ability of knowledge analogy transfer by designers,a multi-level and multi-granularity knowledge innovative design expression method of shearer was proposed.Six attributes are extracted including parameter,structure,function,principle,effect and domain.The attributes are described by knowledge with different abstract granularity,each granularity corresponds to abstraction levels of concept layer,semantic relationship layer and instance layer.Knowledge items are generated through feature attribute description,and multi-level and multigranularity innovative design knowledge base of shearer is constructed.Through ontology reasoning and semantic extension,knowledge of different levels and different granularities is retrieved from local knowledge base and Internet resources,thus realizes multi-level and multi-granularity expression of innovative design knowledge of the shearer.The feasibility of the method was verified by improved structure design of shearer drum.
引文
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[15]涂建伟,李彦,李文强,等.一种面向产品创新设计的知识检索模型与实现[J].计算机集成制造系统,2013,19(2):300-308.TU Jianwei,LI Yan,LI Wenqiang,et al.Knowledge retrieval model and implementation for product innovativedesign[J]. ComputerIntegrated Manufacturing Systems,2013,19(2):300-308.
[16]刘龙繁,李彦,马金龙,等.基于知识粒度的TRIZ在创新设计中的应用[J].机械工程学报,2016,52(5):22-32.LIU Longfan,LI Yan,MA Jinlong,et al.Application of TRIZ in creative design based on knowledge granularity[J].Journal of Mechanical Engineering,2016,52(5):22-32.
[17]范秋霞,杨兆建.基于本体映射采煤机零部件CAE设计方案获取[J].煤炭学报,2013,38(增刊1):236-242.FAN Qiuxia,YANG Zhaojian.Selection for CAE design scheme of shearer parts based on ontology mapping[J].Journal of China Coal Society,2013,38(S1):236-242.
[18]范秋霞,杨兆建.基于实例规则的采煤机CAE设计知识集成[J].煤炭科学技术,2014(5):84-87.FAN Qiuxia,YANG Zhaojian.Integration method for shearer CAE design knowledge based on case rules[J].Coal Science and Technology,2014(5):84-87.
[2] OLES F J.An application of lattice theory to knowledge representation[J].Theoretical Computer Science,2000,249(1):163-196.
[3]丁华,杨兆建,姚晶.采煤机概念设计的知识表示与知识推理[J].机械设计与制造,2011(6):216-218.DING Hua,YANG Zhaojian,YAO Jing.Knowledge representation and reasoning of shearer conceptual design[J].Machinery Design&Manufacture,2011(6):216-218.
[4]廖荣福,李彦,李文强.面向产品创新设计的知识库研究[J].机械设计,2008,25(7):5-10.LIAO Rongfu,LI Yan,LI Wenqiang.Research on knowledge base orientating to innovation design of products[J].Journal of Machine Design,2008,25(7):5-10.
[5]陈林,李彦,李文强,等.计算机辅助产品创新设计系统开发[J].计算机集成制造系统,2013,19(2):319-329.CHEN Lin,LI Yan,LI Wenqiang,et al.Development of a computer-aided product innovation and design system—CAIP[J]. ComputerIntegrated Manufacturing Systems,2013,19(2):319-329.
[6]梁浩.面向创新设计的语义知识表示方法的研究与应用[D].哈尔滨:东北林业大学,2014.
[7]宋高峰,杨兆建,丁华.采煤机CAE分析数据库的设计与实现[J].煤矿机械,2011,32(2):217-219.SONG Gaofeng,YANG Zhaojian,DING Hua.Design and implementation of shearer CAE analysis database[J].Coal Mine Machinery,2011,32(2):217-219.
[8]丁华,常琦,杨兆建.基于混合知识表示模型的采煤机规则库构建与应用[J].机械设计与制造,2016(5):204-207.DING Hua,CHANG Qi,YANG Zhaojian.Shearer rule base build and application based on hybrid knowledge expression model[J].Machinery Design&Manufacture,2016(5):204-207.
[9]丁华,杨兆建.面向知识工程的采煤机截割部现代设计方法与系统[J].煤炭学报,2012,37(10):1765-1770.DING Hua,YANG Zhaojian.Method and system of shearer cutting unit modern design oriented to KBE[J].Journal of China Coal Society,2012,37(10):1765-1770.
[10]丁华,杨兆建,王义亮.基于知识工程的采煤机数字化设计系统研究[J].机械设计,2011,28(4):15-19.DING Hua,YANG Zhaojian, WANG Yiliang.Research on digital design system for coal mining machine based on KBE[J].Journal of Machine Design,2011,28(4):15-19.
[11]郭生龙.电牵引采煤机零件知识库构建[J].煤炭工程,2016,48(11):128-130.GUO Shenglong.Construction of knowledge base for electric traction shearer parts[J].Coal Engineering,2016,48(11):128-130.
[12] PEDRYCZ W,RUSSO B,SUCCI G.Knowledge transfer in system modeling and its realization through anoptimalallocationofinformation granularity[J].Applied Soft Computing,2012,12(8):1985-1995.
[13] WANG Guoyin.Extension of rough set under incompleteinformationsystems[J]. IEEE International Conference on Fuzzy Systems,2002,2(4):1098-1103.
[14]张清华,周玉兰,滕海涛.基于粒计算的认知模型[J].重庆邮电大学学报(自然科学版),2009,21(4):494-501.ZHANG Qinghua,ZHOU Yulan,TENG Haitao.Cognition model based on granular computing[J].Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition),2009,21(4):494-501.
[15]涂建伟,李彦,李文强,等.一种面向产品创新设计的知识检索模型与实现[J].计算机集成制造系统,2013,19(2):300-308.TU Jianwei,LI Yan,LI Wenqiang,et al.Knowledge retrieval model and implementation for product innovativedesign[J]. ComputerIntegrated Manufacturing Systems,2013,19(2):300-308.
[16]刘龙繁,李彦,马金龙,等.基于知识粒度的TRIZ在创新设计中的应用[J].机械工程学报,2016,52(5):22-32.LIU Longfan,LI Yan,MA Jinlong,et al.Application of TRIZ in creative design based on knowledge granularity[J].Journal of Mechanical Engineering,2016,52(5):22-32.
[17]范秋霞,杨兆建.基于本体映射采煤机零部件CAE设计方案获取[J].煤炭学报,2013,38(增刊1):236-242.FAN Qiuxia,YANG Zhaojian.Selection for CAE design scheme of shearer parts based on ontology mapping[J].Journal of China Coal Society,2013,38(S1):236-242.
[18]范秋霞,杨兆建.基于实例规则的采煤机CAE设计知识集成[J].煤炭科学技术,2014(5):84-87.FAN Qiuxia,YANG Zhaojian.Integration method for shearer CAE design knowledge based on case rules[J].Coal Science and Technology,2014(5):84-87.