• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2025, Vol. 61 ›› Issue (9): 424-436.doi: 10.3901/JME.2025.09.424

• 数字化设计与制造 • 上一篇    

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设计信息特征驱动下绿色设计知识挖掘方法

柯庆镝1,2, 李自生1,2, 王玲3, 陈孝旭4, 张雷1,2   

  1. 1. 合肥工业大学机械工程学院 合肥 230009;
    2. 机电产品低碳循环利用技术与装备安徽省重点实验室 合肥 230009;
    3. 中国电器科学研究院股份有限公司 广州 510300;
    4. 中车山东风电有限公司 济南 250022
  • 收稿日期:2024-05-09 修回日期:2024-12-18 发布日期:2025-06-12
  • 作者简介:柯庆镝,男,1984年出生,博士。副教授,博士研究生导师。主要研究方向为绿色制造、再制造检测技术、绿色设计方法等。E-mail:qingdi.ke@hfut.edu.cn;李自生,男,1999年出生。主要研究方向为绿色设计、低碳制造。E-mail:2646809264@qq.com
  • 基金资助:
    国家重点研发计划资助项目(2020YFB1711602)。

A Knowledge Mining Method for Green Design Knowledge Driven by Design Information Characteristics

KE Qingdi1,2, LI Zisheng1,2, WANG Ling3, CHEN Xiaoxu4, ZHANG Lei1,2   

  1. 1. School of Mechanical Engineering, Hefei University of Technology, Hefei 230009;
    2. Anhui Provincial Key Laboratory of Low Carbon Recycling Technology and Equipment for Mechanical and Electrical Products, Hefei 230009;
    3. China National Electric Apparatus Research Institute Co.,Ltd., Guangzhou 510300;
    4. CRRC Shandong Wind Power Co., Ltd., Jinan 250022
  • Received:2024-05-09 Revised:2024-12-18 Published:2025-06-12

摘要: 在当前大数据、网络化环境中,面对庞杂的机电产品设计数据,设计人员缺乏相关绿色设计知识无法有效开展机电产品全生命周期绿色设计。针对该问题,提出了设计信息特征驱动下绿色设计知识挖掘方法。首先,结合当前机电产品设计过程,分析了其设计数据内各类绿色信息特征,提出了基于特征词识别的绿色信息提取方法。其次,基于全生命周期绿色设计需求,分析并设定了绿色信息特征序列,构建了基于设计信息特征的绿色设计知识表达。再次,分析了绿色设计知识特征关联相似度,建立了设计信息特征驱动下绿色设计知识形成过程,并提出了基于共现网络的绿色设计知识评估方法。最后,以风力发电机组为对象,分析并挖掘其相关轻量化等绿色信息特征下绿色设计知识集合,结合产品设计应用验证了所提方法的有效性。

关键词: 绿色设计知识, 信息特征, 关联相似度, 知识挖掘, 生命周期

Abstract: Currently, due to the huge amount of product design data in the big data and network, the green design knowledge is insufficient for designers, and it is difficulty to effectively green design for the lifecycle of mechanical and electrical products. For above issues, it proposes a knowledge mining method for green design knowledge driven by design information characteristics. Firstly, based on the products’ design procedures, variable types of green information characteristics in design data are analyzed, the identification method of green information is given based on characteristic words recognition. Secondly, considering the requirements of green design for products’ lifecycle, the sequence of green information characteristics is analyzed and set, the expression of green design knowledge is established based on design information characteristics. Then, the relative similarity of green design knowledge characteristics is analyzed, the process of green design knowledge mining driven by design information characteristics is presented, and the evaluation method of green design knowledge is given based on co-occurrence networks. Finally, in design for wind turbines, it analyzes and mines the green design knowledge set with lightweight and other green information characteristics, and the effectiveness of the proposed method is verified in above design application.

Key words: green design knowledge, information characteristics, relative similarity, knowledge mining, life cycle

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