Dynamic Knowledge Push Method of Green Design Based on Personnel Characteristics

doi:10.3901/JME.260382

Abstract

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

CLC Number:

TH122

KE Qingdi, ZHANG Zhen, XUE Bing, LI Zisheng. Dynamic Knowledge Push Method of Green Design Based on Personnel Characteristics[J]. Journal of Mechanical Engineering, 2026, 62(7): 343-362.

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URL: http://www.cjmenet.com.cn/EN/10.3901/JME.260382

http://www.cjmenet.com.cn/EN/Y2026/V62/I7/343

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