摘要
针对大型邮轮客舱内饰设计多以员工经验为主,设计知识不能充分利用,进而导致设计效率低下等问题,本文提出一种基于知识工程的大型邮轮客舱内饰智能辅助设计方法。首先,根据客舱设计特点,提出智能辅助设计系统4层架构,包括数据层、模型算法层、接口层和应用层,并对4层架构及其内在关系展开详细论述;然后,分析规则和案例数据的特点,采用产生式表达法描述规则知识,并提出针对案例知识的5维表示结构,确定案例知识在知识库中的存储方式,针对案例推理中特征元素为词汇的问题,采用Word2Vec模型对其进行向量化表示,采用加权KNN算法计算目标案例与案例库中子案例的相似度,基于规则推理(RBR)和案例推理(CBR)构建针对客舱内饰的推理流程及方法。最后,以大型邮轮阳台房灯饰设计为例,验证系统的可行性。
This article proposes an intelligent assistive design method for the interior decoration of large cruise ship cabins based on knowledge engineering.Firstly,in consideration of the unique characteristics of cabin design,a four-layer architecture for the intelligent assistive design system is presented,comprising the data layer,model algorithm layer,interface layer,and application layer.Detailed elaboration on the four-layer architecture and its inherent relationships is provided.Subsequently,an analysis of the characteristics of rule-based and case-based data is conducted.The rule-based knowledge is described using production rules,and a five-dimensional representation structure is proposed for case-based knowledge.This structure determines the storage method for case-based knowledge within the knowledge base.Addressing the issue of feature elements being expressed in terms of vocabulary in case-based reasoning,the Word2Vec model is employed to vectorize the representation of these elements.Furthermore,a weighted K-Nearest Neighbor(KNN)algorithm is used to calculate the similarity between the target case and sub-cases within the case library.A reasoning process and methodology specific to cabin interior decoration are constructed based on both Rule-Based Reasoning(RBR)and Case-Based Reasoning(CBR).Finally,the feasibility of the system is validated through a case study involving the design of lighting fixtures for large cruise ship balcony cabins.
作者
刘利军
杨镇伟
龙智新
姚淑敏
蒋祖华
LIU Lijun;YANG Zhenwei;LONG Zhixin;YAO Shumin;JIANG Zuhua(College of Mechanical and Electrical Engineering,Shaanxi University of Science&Technology,Xi′an 710021,China;School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《智能计算机与应用》
2025年第5期105-110,共6页
Intelligent Computer and Applications
基金
工信部高技术船舶项目。
