广东刀剪产业转型升级技术发展路径研究<sup>*</sup>——基于专利TRIZ分析

doi:10.11925/infotech.2096-3467.2019.0726

数据分析与知识发现

2020, Vol. 4

Issue (2/3): 101-109 https://doi.org/10.11925/infotech.2096-3467.2019.0726

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广东刀剪产业转型升级技术发展路径研究^*——基于专利TRIZ分析

胡勇军¹,韦婷婷²(

),窦子欣¹,黄芸茵³,梁锐成⁴,常会友³

¹广州大学工商管理学院广州 510006
²华南农业大学数学与信息学院广州 510642
³中山大学数据科学与计算机学院广州 510006
⁴广州小云软件科技有限公司广州 510335

Tech-Development Path of Knife-Scissor Industry in Guangdong with TRIZ Analysis of Patents

Hu Yongjun¹,Wei Tingting²(

),Dou Zixin¹,Huang Yunyin³,Liang Ruicheng⁴,Chang Huiyou³

¹School of Management, Guangzhou University, Guangzhou 510006, China
²College of Mathematics & Informatics, South China Agricultural University, Guangzhou 510642, China
³School of Data and Compute Science, Sun Yat-Sen University, Guangzhou 510006, China
⁴Guangzhou Xiaoyun Technology Co., Ltd., Guangzhou 510335, China

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摘要

【目的】 对广东省刀剪专利数据进行演化规律分析。【方法】 提出一种新“体用”归类体系,建立基于LDA的TRIZ特征主题模型,计算不同年份、主题下概率高的前n个词汇,并预测未来三年的TRIZ专利技术演化路径。【结果】 通过采用新“体用”归类体系指导的人工标注噪声显著下降,达到新手标注噪声低于10%的性能。在分析结果方面,发现广东刀剪产业前期专利主要集中在形体结构、运动方式改变、材质变化等TRIZ规则上,揭示了产业技术演化路径。【局限】 只对广东刀剪产业技术发展路径进行研究。【结论】 有效揭示广东刀剪产业技术发展趋势,对该产业转型升级发展路径提出建议。

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	胡勇军
	韦婷婷
	窦子欣
	黄芸茵
	梁锐成
	常会友

关键词 ：刀剪产业, 转型升级, 专利TRIZ分析

Abstract：

[Objective] This paper reveals the evolution of patents from knife-scissor industry in Guangdong Province, China.[Methods] Firstly, we proposed a new classification scheme. Secondly, we created a topic model with TRIZ feature based on LDA. Thirdly, we calculated the first n words with high probability in different years and fields. Finally, we predicted the patent evolution path in the next three years.[Results] The new classification method reduced the noise of manual annotation to less than 10%. We also found that patents from knife-scissors enterprises in Guangdong mainly focused on the TRIZ rules, such as shapes, structures, movement modes, and materials.[Limitations] We only studied the knife-scissors industries.[Conclusions] The proposed method identifies key technical developing trends of knife-scissors industries in Guangdong and gives suggestions on their upgrading in the future.

Key words： Knife-Scissors Industries Transformation and Upgrading TRIZ Patents Analysis

收稿日期: 2019-06-20 出版日期: 2020-04-26

ZTFLH:

TP393

基金资助:*本文系广东省社会科学“十三五”规划项目“智能制造驱动下广东刀剪产业转型升级技术发展路径研究：基于知识图谱的大数据分析”的研究成果之一(GD17CGL01)

通讯作者: 韦婷婷 E-mail: weitingting@scau.edu.cn

引用本文:

胡勇军,韦婷婷,窦子欣,黄芸茵,梁锐成,常会友. 广东刀剪产业转型升级技术发展路径研究^*——基于专利TRIZ分析[J]. 数据分析与知识发现, 2020, 4(2/3): 101-109.
Hu Yongjun,Wei Tingting,Dou Zixin,Huang Yunyin,Liang Ruicheng,Chang Huiyou. Tech-Development Path of Knife-Scissor Industry in Guangdong with TRIZ Analysis of Patents. Data Analysis and Knowledge Discovery, 2020, 4(2/3): 101-109.

链接本文:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2019.0726 或 http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2020/V4/I2/3/101

Table 1 专利名称、摘要和主权项示例

Table 2 部分专利基于TRIZ标注的数据集统计信息

Table 3 训练集部分分词结果示例

Table 4 训练集去停用词结果示例

Table 5 40个发明原理

Table 6 标注示例

Fig.1 TRIZ三层归纳示意图

Table 7 数据集在各个时间切片分布情况

Table 8 2015-2016广东刀剪专利热点主题

Table 9 各时间切片的主题关键词

Table 10 “切削”主题内容演化

Table 11 关键词预测结果

Table 12 未来三年刀剪专利技术发展预测词

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