• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2023, Vol. 59 ›› Issue (18): 80-94.doi: 10.3901/JME.2023.18.080

• 特邀专栏:人工自愈与装备自主健康 • 上一篇    下一篇

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基于设计过程复杂性理论的功能自愈设计过程模型研究

张鹏1,2, 苏云鹏1,2, 刘卫胜1,2, 聂子丰1,2, 罗杨1,2   

  1. 1. 河北工业大学机械工程学院 天津 300130;
    2. 河北工业大学国家技术创新方法与实施工具工程技术研究中心 天津 300130
  • 收稿日期:2022-10-25 修回日期:2023-05-20 出版日期:2023-09-20 发布日期:2023-12-07
  • 通讯作者: 刘卫胜(通信作者),男,1963年出生,副教授。主要研究方向为创新设计。E-mail:ws.liu@163.com
  • 作者简介:张鹏,男,1979年出生,博士,教授,博士研究生导师。主要研究方向为复杂系统创新设计。E-mail:zhang_peng_2009@sina.com.cn
  • 基金资助:
    国家自然科学基金(51975181)和科技部创新方法工作专项(2020IM02050)资助项目。

Research on Functional Self-recovery Design Process Based on Design-centric Complexity Theory

ZHANG Peng1,2, SU Yunpeng1,2, LIU Weisheng1,2, NIE Zifeng1,2, LUO Yang1,2   

  1. 1. College of Mechanical Engineering, Hebei University of Technology, Tianjin 300130;
    2. National Technology Innovation Method and Implementation Tool Engineering Technology ResearchCenter of Hebei University of Technology, Tianjin 300130
  • Received:2022-10-25 Revised:2023-05-20 Online:2023-09-20 Published:2023-12-07

摘要: 人工自愈理论类比生物体自愈过程,为降低系统设计过程复杂性提供了新思路。目前人工自愈理论研究多集中在结构和参数层面,功能层面人工自愈理论的相关研究较少。将人工自愈理论与设计过程复杂性理论结合,提出基于设计过程复杂性的功能自愈设计过程模型,功能自愈是对人工自愈理论中结构自愈与参数自愈的有益补充,旨在功能层面降低系统复杂性,提高系统自愈能力;在概念设计阶段,通过功能元-功能模型的转化方式,应用TRIZ中的功能等级算法,对系统功能按类型进行划分,依据功能等级进行排序,提出功能自愈优先级判别标准;通过在系统中构建功能周期,提高系统功能实现概率,并在功能周期中为目标功能赋予功能自诊断,功能自恢复的能力扩展功能周期,进一步提高系统功能实现概率,与系统结构自愈参数自愈结合,提高系统人工自愈能力,最后通过智能光伏除尘系统设计过程验证功能自愈理论的科学性。

关键词: 设计过程复杂性, 人工自愈, 功能自愈, 功能周期

Abstract: Compared with the biological self-recovery process, the artificial self-recovery theory provides a new perspective for reducing the complexity of the system design process. At present, the research on artificial self-recovery theory mostly focuses on the structural and parametric levels, and there are few related researches on the artificial self-recovery theory at the functional level. Combining artificial self-recovery theory with design-centric complexity theory, a functional self-recovery design process model based on design-centric complexity theory is proposed. Functional self-recovery is a beneficial supplement to structural self-recovery and parametric self-recovery in artificial self-recovery theory, aiming at reducing system complexity and improving system self-recovery ability at functional level. In the conceptual design stage, the system functions are classified by types through the transformation method of function unit-function model and the system function rank algorithm in TRIZ. Relying on the sorting of functional rank, a criterion for determining the priority of function self-recovery is proposed. By constructing a function period in the system, the probability of system function realization is improved, and the target function is given function self-diagnosis and function self-recovery ability in the function period to extend the function period and further improve the system function realization probability. Combining functional self-recovery with structural self-recovery and parametric self-recovery, the artificial self-recovery ability of the system is improved. Finally, the scientific nature of the functional self-recovery theory is verified through the design process of the intelligent photovoltaic dust removal system.

Key words: design-centric complexity, artificial self-recovery, functional self-recovery, functional period

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