采煤机概念设计的知识表示与知识推理  

Knowledge representation and reasoning of shearer conceptual design

作　　者：丁华[1] 杨兆建[1] 姚晶[1] 

机构地区：[1]太原理工大学机械工程学院

出　　处：《机械设计与制造》2011年第6期216-218,共3页Machinery Design & Manufacture

基　　金：国家11.5支撑计划重点课题资助(2007BAB13B01-02)

摘　　要：为实现采煤机概念设计知识和经验的重用,针对采煤机设计领域知识的可分解性、多样性和模糊性等特点,提出了以面向对象为主、产生式规则为辅的知识表示方法,建立了采煤机概念设计实例库和规则库,并将基于实例和规则推理的集成推理机制应用于采煤机概念设计知识推理中。最后以UG为平台开发了采煤机概念设计系统,实现了知识驱动的采煤机概念设计自动化,积累了设计经验和知识,缩短了产品设计周期。通过工程应用实例验证了该方法的有效性与可靠性。For reusing of design knowledge and experience of shearer conceptual design,aiming at the decomposability,diversity and fuzziness of knowledge in the field of shearer design,knowledge representation is proposed in it which is mainly the knowledge representation for object-oriented,production rules as complement,then case base and rule base for shearer conceptual design are established,and an integrated mechanism based on cases and rules reasoning is applied to knowledge reasoning of shearer conceptual design.With Unigraphics as the platform,shear conceptual design system was developed,which automation of knowledge-driven conceptual design is achieved,design experience and knowledge is accumulated,and the design cycle is shortened.The method is verified with high effectiveness and credibility through engineering application.

关 键 词：采煤机 概念设计 知识表示 知识推理 实例库 规则库 

分 类 号：TH12[机械工程—机械设计及理论] TD421.65[矿业工程—矿山机电]