Patent Data-driven Product Innovative Design Based on Complex Network

Abstract

Abstract: For solving the problems of patent aided product design, a method of patent data-driven product innovative design was proposed based on complex network. Complex network was constructed by patent classification number of patents, and nodes of network were ranked by degree centrality, then key functions of the nodes were founded. Behavior knowledge was discovered from text and figures of key node patents, and mapped with function knowledge by morphological matrix. By using apriori algorithm of frequent subgraph, behavior portfolio with minimum support value computed was choose as priority development alternative, and the patents' structured knowledge was extracted, and utilized to generate shower components network for analysis of patent technology. Key components were found by structure hole from network and used to make innovative design. Lastly, a novel mixture shower with adjustment function was designed to verify the effectiveness and feasibility of the method.

Key words: complex network, patent data, degree centrality, structure hole, innovative design

摘要： 为了解决已有专利辅助产品设计研究方面存在的问题，提出了基于复杂网络的专利数据驱动产品创新设计方法。通过构建专利分类号共现网络，结合网络度中心性算法对分类号节点重要性进行评价，找出关键分类号。对分类号相关专利进行分析，并抽取原理知识，利用形态学矩阵构建功能原理映射关系，结合频繁子图中的apriori关联规则算法计算原理组合的支持度，以获取最佳组合方案，同时利用组合方案相关专利提取结构关键词，建立专利结构网络，结合结构洞挖掘关键元件，并开展产品创新设计。以卫浴花洒作为研究实例，找出混合其他物质功能作为设计需求，通过挖掘相关专利的原理，发明了一款带有可调节功能的新型混合花洒，验证该方法的有效性。

关键词: 复杂网络, 专利数据, 度中心性, 结构洞, 创新设计

CLC Number:

TH122
TP391

LIN Wenguang, LAI Rongshen, XIAO Renbin. Patent Data-driven Product Innovative Design Based on Complex Network[J]. China Mechanical Engineering.

林文广, 赖荣燊, 肖人彬. [数据驱动的产品设计]基于复杂网络的专利数据驱动的产品创新设计[J]. 中国机械工程.

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