• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2026, Vol. 62 ›› Issue (7): 343-362.doi: 10.3901/JME.260382

• 数字化设计与制造 • 上一篇    

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基于人员动态特征的绿色设计知识主动推送方法

柯庆镝1,2, 张振1,2, 薛冰3, 李自生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. 江苏徐工工程机械研究院有限公司 徐州 221004
  • 收稿日期:2025-06-22 修回日期:2025-11-04 发布日期:2026-05-25
  • 作者简介:柯庆镝,男,1984年出生,博士。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
    张振,男,1999年出生,硕士研究生。主要研究方向为绿色设计、低碳制造。E-mail:3237339434@qq.com
  • 基金资助:
    国家重点研发计划资助项目(2020YFB1711602)。

Dynamic Knowledge Push Method of Green Design Based on Personnel Characteristics

KE Qingdi1,2, ZHANG Zhen1,2, XUE Bing3, LI Zisheng1,2   

  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. Jiangsu XCMG Engineering Machinery Research Institute Co., Ltd., Xuzhou 221004
  • Received:2025-06-22 Revised:2025-11-04 Published:2026-05-25

摘要: 在当前海量且庞杂的机电产品数据环境中,面对专业背景、设计经验等个性化特征,设计知识无法有效支持研发人员开展相关产品全生命周期绿色设计。针对该问题,提出了基于人员动态特征的绿色设计知识主动推送方法。首先,构建了一个基于机电产品全生命周期绿色性能指标和研发人员特征的绿色设计知识情境模型,该模型为后续的知识推送提供了数据基础。其次,在本模型基础上,进一步分析了研发人员在设计流程中的动态特征,通过匹配人员的动态特征和绿色设计知识的利用率、时间、相似度等变量,提出了基于动态特征的知识关联和主动推送方法,确保设计人员根据自己的需求获得最佳的绿色设计知识支持。最后,以某XGA型号高空作业车为例,针对研发人员特征中的设计人员、设计知识、时间信息等动态特征,结合绿色设计知识推送使能工具,有效分析并推送两个设计人员的知识集合,支撑该产品的轻量化、绿色化等绿色研发流程,验证了本方法的有效性。

关键词: 绿色设计知识, 知识推送, 绿色人员特征, 知识关联, 全生命周期

Abstract: In the current vast and complex data environment of electromechanical products, it is challenging for R&D personnel to obtain effective support for green design throughout the entire product lifecycle due to personalized features such as professional background and design experience. To address this issue, proposes an active knowledge pushing method based on the dynamic characteristics of personnel in green design. Firstly, constructs a green design knowledge context model based on green performance indicators of electromechanical products throughout their lifecycle and the characteristics of R&D personnel, providing a data foundation for subsequent knowledge pushing. Secondly, based on this model, the dynamic characteristics of R&D personnel in the design process are further analyzed. By matching the dynamic characteristics of personnel with variables such as utilization rate, timing, and similarity of green design knowledge, a method for knowledge association and active pushing based on dynamic characteristics is proposed. This ensures that designers receive optimal green design knowledge support according to their specific needs. Finally, taking a specific XGA model aerial work platform as an example, the paper effectively analyzes and pushes knowledge sets for two designers by integrating dynamic characteristics—such as designer profiles, design knowledge, and timing information—along with green design knowledge pushing enabling tools. This supports the product's lightweighting and greening processes in green R&D, validating the effectiveness of the proposed method.

Key words: green design knowledge, knowledge push, green personnel characteristics, knowledge association, full life cycle

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