摘要
针对现有综采装备智能设计方法大多未考虑三机配套设计参数之间的复杂耦合关系,导致系统的适用性较差、设计知识孤立等问题,研究了基于知识推理的综采装备概念设计方法和综采装备三机配套原则,将实例推理、规则推理和模型推理的混合推理机制应用于综采装备三机配套的概念设计中,建立了基于知识推理的综采装备三机配套概念设计推理模型,开发了基于知识推理的综采装备三机配套概念设计系统。该系统利用知识推理方法对用户输入的初始参数进行实例推理,并在实例库中检索相似实例,得到符合要求的设计方案;如没有相似实例,则进行模型推理完成三机配套参数设计,得到参数设计方案。应用实例表明,该系统设计结果准确、推理速度快,实现了综采装备的智能设计,缩短了产品设计周期。
In view of problems that most of existing intelligent design methods of fully mechanized coal mining equipment are not considered complex coupling relationship among design parameters of three machines matching,which leading to poor applicability of the system and isolated design knowledge,a conceptual design method and matching principle of three machines of fully mechanized coal mining equipment based on knowledge reasoning were studied,the hybrid reasoning mechanism including case reasoning,rule reasoning and model reasoning was applied to the conceptual design of three machines matching of fully mechanized coal mining equipment,reasoning model of conceptual design of three machines matching of fully mechanized coal mining equipment based on the knowledge reasoning was established,conceptual design system of three machines matching of fully mechanized coal mining equipment based on knowledge reasoning was developed.The system uses knowledge reasoning method to do case reasoning of input initial parameters for user,and search similar case in the case database,so as to obtain satisfactory design scheme,if there is no similar case in the case database,parameter design of three machines matching was completed by model reasoning,so as to get parameter design scheme.The application example shows that the system has accurate design result and fast reasoning speed,which realizes intelligent design of fully mechanized coal mining equipment and shorten design cycle of products.
作者
段琦
丁华
王义亮
邓金涛
DUAN Qi;DING Hua;WANG Yiliang;DENG Jintao(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
2018年第7期11-16,共6页
Journal Of Mine Automation
基金
山西省煤机重点科技攻关项目(MJ2014-05-02)
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(2016JD13)
关键词
煤炭开采
采煤机
刮板输送机
液压支架
三机配套
知识推理
实例推理
模型推理
概念设计
coal mining
shearer
scraper conveyer
hydraulic support
three machines matching
knowledge reasoning
case reasoning
model reasoning
conceptual design
