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群智协同设计活动复杂性的度量模型及方法

郑庆 丁国富

郑庆, 丁国富. 群智协同设计活动复杂性的度量模型及方法[J]. 西南交通大学学报, 2021, 56(5): 989-994, 1010. doi: 10.3969/j.issn.0258-2724.20200238
引用本文: 郑庆, 丁国富. 群智协同设计活动复杂性的度量模型及方法[J]. 西南交通大学学报, 2021, 56(5): 989-994, 1010. doi: 10.3969/j.issn.0258-2724.20200238
ZHENG Qing, DING Guofu. Complexity Measurement Model and Methods of Crowd Intelligence Collaborative Innovation for Design Activities[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 989-994, 1010. doi: 10.3969/j.issn.0258-2724.20200238
Citation: ZHENG Qing, DING Guofu. Complexity Measurement Model and Methods of Crowd Intelligence Collaborative Innovation for Design Activities[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 989-994, 1010. doi: 10.3969/j.issn.0258-2724.20200238

群智协同设计活动复杂性的度量模型及方法

doi: 10.3969/j.issn.0258-2724.20200238
基金项目: 国家重点研发计划(2018YFB1700801);中央高校基本科研业务费专项资金(2682019CX34)
详细信息
    作者简介:

    郑庆(1989—),男,助理研究员,博士,研究方向为开放式创新、数字化集成设计,E-mail:qingzheng@swjtu.edu.cn

  • 中图分类号: TP393

Complexity Measurement Model and Methods of Crowd Intelligence Collaborative Innovation for Design Activities

  • 摘要: 群智创新通过网络社区聚集企业外部大规模设计资源参与产品创新设计,成为互联网环境下企业拓展设计能力、解决设计难题、实现转型升级的重要方式. 针对群智协同设计活动的复杂性难以定量描述,导致互联网社区中设计活动的发布、推送和动态调整缺乏量化依据等问题,提出一种基于信息熵的群智协同设计活动复杂性度量方法. 通过分析互联网社区中群智协同设计过程特点、用户角色和能力特点,从过程复杂性、问题复杂性、可解复杂性3个维度建立群智协同设计活动复杂性度量模型,采用信息熵理论实现复杂性的量化分析;最后以Local Motors社区LM SF-01项目中的悬架设计活动为例,计算该设计活动3个维度的复杂性分别为318.15、477.66、134.46 bit,根据项目特点采用加权的方式得到其统一复杂性为331.76 bit,验证了该复杂性度量模型和方法的可行性和有效性.

     

  • 图 1  群智协同设计模式

    Figure 1.  Crowd intelligence collaborative design model

    图 2  群智协同设计活动复杂性模型

    Figure 2.  Complexity measurement model of design activity in CI collaborative design

    图 3  悬架设计活动功能结构

    Figure 3.  Function structure diagram of suspension design activity

    图 4  悬架设计活动问题关系

    Figure 4.  Relation of questions in suspension design activity

  • MICHELUCCI P, DICKINSON J L. The power of crowds[J]. Science, 2016, 351(6268): 32-33. doi: 10.1126/science.aad6499
    AMERI F, SUMMERS J D, MOCKO G M, et al. Engineering design complexity:an investigation of methods and measures[J]. Research in Engineering Design, 2008, 19(2/3): 161-179. doi: 10.1007/s00163-008-0053-2
    SUMMERS J D, SHAH J J. Mechanical engineering design complexity metrics:size,coupling,and solvability[J]. Journal of Mechanical Design, 2010, 132: 021004.1-021004.11. doi: 10.1115/1.4000759
    张鹏,杨伯军,张换高,等. 面向CAI的设计过程复杂性理论冲突确定原理[J]. 计算机集成制造系统,2013,19(2): 330-337.

    ZHANG Peng, YANG Bojun, ZHANG Huangao, et al. Conflict determination oriented to CAI based on design-centric complexity[J]. Computer Integrated Manu- facturing Systems, 2013, 19(2): 330-337.
    徐江,王修越,王奕,等. 基于确定性信息理论的设计认知复杂度计算方法[J]. 中国机械工程,2017,28(5): 596-602.

    XU Jiang, WANG Xiuyue, WANG Yi, et al. Complexity computation approach of design cognition using deterministic information theory[J]. China Mechanical Engineering, 2017, 28(5): 596-602.
    张根保,曾海峰,王国强,等. 基于广义信息熵测度的制造过程质量评估[J]. 中国机械工程,2010,21(20): 2451-2458.

    ZHANG Genbao, ZENG Haifeng, WANG Guoqiang, et al. Effectiveness evaluation of manufacturing process quality by measurement of extended information entropy[J]. China Mechanical Engineering, 2010, 21(20): 2451-2458.
    马靖,刘明周,王强,等. 基于物联熵的机械产品装配系统复杂性度量[J]. 计算机集成制造系统,2016,22(1): 248-256.

    MA Jing, LIU Mingzhou, WANG Qiang, et al. Complexity metrics for assembly system of mechanical products based on IOT-entropy[J]. Computer Integrated Manufacturing Systems, 2016, 22(1): 248-256.
    WANG H, ZHU X W, WANG H, et al. Multi-objective optimization of product variety and manufacturing complexity in mixed-model assembly systems[J]. Journal of Manufacturing Systems, 2011, 30(1): 16-27. doi: 10.1016/j.jmsy.2011.03.002
    ANTORINI Y M, MUNIZ JR A M. Invited article:the benefits and challenges of collaborating with user communities[J]. Research-Technology Management, 2013, 56(3): 21-28. doi: 10.5437/08956308X5603931
    LI W, WU W J, WANG H M, et al. Crowd intelligence in AI 2.0 era[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(1): 15-43.
    郑庆. 复杂产品群智协同创新过程建模分析理论及方法研究[D]. 天津: 天津大学, 2018.
    GUO W, ZHENG Q, AN, W J, et al. User roles and contributions during the new product development process in collaborative innovation communities[J]. Applied Ergonomics, 2017, 63: 106-114. doi: 10.1016/j.apergo.2017.04.013
    张硕,李英姿,张晓冬. 创新扩散视角下众创设计社区参与者选择行为模型[J]. 科技进步与对策,2018,35(21): 15-22.

    ZHANG Shuo, LI Yingzi, ZHANG Xiaodong. Selection behavior model based on innovation diffusion in crowd innovation community[J]. Science & Technology Progress and Policy, 2018, 35(21): 15-22.
    SUH N P. Axiomatic design: advances and applications[M]. New York: Oxford University Press, 2001.
    SHANNON C E. A mathematical theory of communication[J]. The Bell System Technical Journal, 1948, 27(3): 379-423.
    彭珍瑞,张楠,殷红,等. 基于频响函数的动车组构架传感器优化布置[J]. 西南交通大学学报,2019,54(2): 402-407, 414.

    PENG Zhenrui, ZHANG Nan, YIN Hong, et al. Optimal sensor placement of EMU frame based on frequency response function[J]. Journal of Southwest Jiaotong University, 2019, 54(2): 402-407, 414.
    BRAHA D, MAIMON O. The measurement of a design structural and functional complexity[J]. IEEE Transactions on Systems,Man,and Cybernetics—Part A:Systems and Humans, 1998, 28(4): 527-535. doi: 10.1109/3468.686715
    ULLMAN D G. A taxonomy for mechanical design[J]. Research in Engineering Design, 1992, 3(3): 179-189. doi: 10.1007/BF01580519
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出版历程
  • 收稿日期:  2020-04-26
  • 修回日期:  2020-08-22
  • 网络出版日期:  2020-09-16
  • 刊出日期:  2021-10-15

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