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 multi-granularity 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.
作者
李杏
丁华
杨琨
LI Xing;DING Hua;YANG Kun(College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China;Shanxi Key Laboratory of Fully Mechanized Coal Mining Equipment, Taiyuan 030024, China)
出处
《工矿自动化》
北大核心
2019年第1期22-27,共6页
Journal Of Mine Automation
基金
山西省科技基础条件平台项目(201805D141002)
山西省自然科学基金项目(201601D011050)
山西省研究生联合培养基地人才培养项目(2018JD15)
关键词
煤炭开采
采煤机创新设计
知识表达
多层次
多粒度
知识库
本体推理
语义扩展
coal mining
innovative design of shearer
knowledge expression
multi-level
multigranularity
knowledge base
ontology reasoning
semantic extension
