基于实例推理的复杂产品设计协同研究  被引量:1

Research on complex product design collaboration based on case-based reasoning

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作  者:岳继光[1] 陶伟 崔哲昕 吴琛浩 王萍[3] YUE Jiguang;TAO Wei;CUI Zhexin;WU Chenhao;WANG Ping(College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China;School of Engineering and Design,Technical University of Munich,Munich 80333,Germany;Shandong Hoteam Software Co.,Ltd.,Jinan 250101,Shandong,China)

机构地区:[1]同济大学电子与信息工程学院,上海201804 [2]慕尼黑工业大学工程与设计学院,慕尼黑80333 [3]山东山大华天软件有限公司,山东济南250101

出  处:《中国工程机械学报》2023年第4期283-287,共5页Chinese Journal of Construction Machinery

基  金:国家重点研发计划资助项目(2018YFB1700900)。

摘  要:高效、高质量确定复杂产品初步设计模型是缩短产品研发周期的关键,本文提出了一种基于改进皮尔森相似度实例推理的复杂产品设计协同方法。基于复杂产品多学科知识及产品单体库,构建了复杂产品多领域模型。根据复杂产品需求模型的性能指标,采用基于改进皮尔森相似度的实例推理,从多领域模型实例库中筛选复杂产品初步设计模型。为减少产品试样的“盲目性”,引入仿真推演与协同评价以获得初步设计决策。以平尾控制模拟系统为例,验证了所提方法的有效性,有助于缩短复杂产品研发周期。Efficient and high-quality determination of the preliminary design model of complex product is the key to shortening the research and development cycle of product.This paper proposes a collaborative approach to complex product design based on case-based reasoning of improved Pearson similarity.First,a multi-domain model of complex product is constructed based on the multidisciplinary knowledge of complex products and the product component library.Secondly,according to the performance indicators of the complex product demand model,the case-based reasoning with improved Pearson correlation coefficient is used to filter the preliminary design model of the complex product from the multi-domain model case library.Meanwhile,simulation deduction and collaborative evaluation are introduced to determine the final preliminary design decisions in order to reduce the blindness of test sample.The horizontal tail control system is selected as an case to verify the effectiveness of the proposed method,which contributes to shortening the research and development cycle of complex product.

关 键 词:复杂产品多领域模型 实例推理 皮尔森相似度 仿真推演 

分 类 号:TP181[自动化与计算机技术—控制理论与控制工程] TH122[自动化与计算机技术—控制科学与工程]

 

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