Patent Data Driven Product Innovation Design Based on SAO

doi:10.3969/j.issn.1004-132X.2023.15.001

Abstract

Abstract: The patent data-driven product innovation design method was proposed based on SAO using big data mining technology. Firstly， semantic dependency parsing was used to mine the SAO structure and interaction relationships among product components from patent text databases. Subsequently， a complex network knowledge model was constructed for product systems， and the constraint coefficients of components in the complex network were calculated by using structural hole theory to identify the innovative target components. Then， the semantic similarity coefficients of components were calculated using Word2Vec， and the functional similarity coefficients were calculated using SAO similarity algorithm. And the recommendation algorithm and combination matrix were integrated to achieve structural innovation， functional innovation， and functional optimization. Finally， a typical bathroom shower product was taken as an example to demonstrate the method in detail， which fully verifies the effectiveness and progressiveness of the method.

Key words: , patent data, subject-action-object（SAO）, language model, complex network, recommend scheme

摘要： 借助大数据挖掘技术，提出基于主语-谓语-宾语（SAO）的专利数据驱动产品创新设计方法。首先通过语义依存句法挖掘专利文本数据库中的SAO结构，获取产品元件之间的作用关系信息；其次构建面向产品系统的复杂网络知识模型，并引入结构洞理论计算复杂网络中元件约束性系数，以此确定创新目标元件，并借助Word2Vec计算元件语义相似性系数，利用SAO相似性算法计算功能相似性系数；在此基础上，融合推荐算法以及组合矩阵，分别围绕结构创新、功能创新以及功能优化三个方面实现产品创新。最后以具有典型代表性的卫浴花洒产品为例，对所提方法进行了详细的演示，充分证实了所提方法的有效性和先进性。

关键词: 专利数据, 主语-谓语-宾语（SAO）, 语言模型, 复杂网络, 推荐算法

CLC Number:

TH166
TP391

LIN Wenguang, LIU Xiaodong, XIAO Renbin. Patent Data Driven Product Innovation Design Based on SAO[J]. China Mechanical Engineering, 2023, 34(15): 1765-1777.

林文广, 刘晓东, 肖人彬. 基于SAO的专利数据驱动产品创新设计[J]. 中国机械工程, 2023, 34(15): 1765-1777.

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