摘要
功能扩展是实现产品创新设计的重要途径,而数据驱动又是产品功能扩展的关键支撑技术,据此提出文本挖掘与专利数据协同驱动的产品功能扩展研究方法,为已有产品的精准变更及升级提供定量研究方法。首先,分析目标产品功能-结构信息,并在现有网络模型基础上融合局部超图网络模型对产品进行建模,以此计算产品元件重要性;其次,在检索获取英文专利文本数据的基础上,运用词性标注(Part-of-speech tagging,POS tagging)和依存句法(Dependency parsing,DP)构建规则算法以挖掘语句中的主语-谓语-宾语(Subject-action-object,SAO),并获取同类产品的全部功能和结构信息;再次,以专利文本数据为语料库,通过基于变换器的双向编码器表示(Bidirectional encoder representations from transformers,BERT)训练词向量,作为查找相似结构和相似功能的工具,并结合协同推荐算法提出了四种扩展策略:目标元件其他功能扩展,目标元件相似功能扩展,相似元件其他功能扩展以及相似组件其他功能扩展。最后,结合企业需求以一种手持花洒产品为案例验证了研究方法的可行性及有效性。
Function expansion is an important way to achieve innovative product design,and data-drivenis also the key supporting technology for product function expansion.In this context,a product function expansion method driven by text mining and patent data collaboration is proposed and expected to provide a quantitative research method for changing and upgrading existing products.Firstly,the function-structure mapping information of the target product are analyzed,then a partial hypergraph model based on existing network models is proposed to calculate the weight of product's components.Secondly,four extracting product functional and structural knowledge,text data of us patent is retrieved and obtained,then part of speech tagging(POS tagging)and dependency parsing(DP)are used to construct mining rules to extract subject-action-object(SAO)in sentences.Thirdly,patent text is used as the corpus and BERT(Bidirectional encoder representations from transformers)model is utilized to train word vectors as a tool for finding similar structures and functions,then four function expansion strategies combined with collaborative recommendationalgorithms are proposed as follows:other function expansion,similarity function expansion,similar component’s functions expansion,and similar components’functions expansion based on the target product components;finally,according to the requirements of enterprise,the case of showerhead is applied to verifies thefeasibility and effectiveness of the method.
作者
林文广
刘晓东
肖人彬
LIN Wenguang;LIU Xiaodong;XIAO Renbin(School of Mechanical and Automotive Engineering,Xiamen University of Technology,Xiamen 362114;School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074)
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2024年第13期56-70,共15页
Journal of Mechanical Engineering
基金
国家自然科学基金资助项目(52275249)。
关键词
功能扩展
协同推荐
专利文本
局部超图
BERT
function expansion
collaborative recommendation
patent text
partial hypergraph
BERT