CAJ | 학술논문

在甘蔗收割机的多学科优化设计中,通过将其中的设计变量（参数）、约束、目标、性态函数等大量信息进行提取、加工、组织而形成有用的优化知识,同时将优化问题表达为一个决策表,通过数据库中属性与知识库中谓词以及两者之间元素的一一对应关系,将数据库中的数据提取并扩充到知识库中去,利用知识库的推理支持快速查询,实现数据库的智能化.在结构优化、机构优化以及功率匹配上,达到了智能优化的目的。
재감자수할궤적다학과우화설계중,통과장기중적설계변량（삼수）、약속、목표、성태함수등대량신식진행제취、가공、조직이형성유용적우화지식,동시장우화문제표체위일개결책표,통과수거고중속성여지식고중위사이급량자지간원소적일일대응관계,장수거고중적수거제취병확충도지식고중거,이용지식고적추리지지쾌속사순,실현수거고적지능화.재결구우화、궤구우화이급공솔필배상,체도료지능우화적목적。
In the multidisciplinary optimization of sugarcane harvester,the information of design variables,constraints,objects and state functions as well were extracted and made into useful knowledge.The optimization problem was expressed to be a decision table.The data was put into the knowledge base from data base through the correspondence relationship of the element property in data base and predicate in knowledge base.The data base has become intelligent because of the support of quick search of knowledge base.The intelligent optimization has been achieved in structural optimization,machinery optimization as well as the power assignment.