基于专利分析的工业机器人技术前瞻研究

Xionghui Wen
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引用次数: 3

摘要

针对工业机器人领域技术预测研究缺乏专利大数据的问题,提出了一种基于专利挖掘和知识地图的改进方法。首先从选定的专利中提取SAO结构,然后根据提取的SAO结构计算专利之间的相似度,然后根据计算的专利相似度矩阵绘制专利网络和专利地图,从专利网络中总结工业机器人的技术演变过程和未来趋势,并根据专利地图中识别的技术空缺预测未来潜在的技术机会。最后,本文确定了工业机器人领域的六个关键技术领域和四个潜在的技术机遇。
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Technology Foresight Research of Industrial Robot Based on Patent Analysis
In view of the lack of patent big data in research on technology foresight in the industrial robot field, this paper introduces an improved method based on patent mining and knowledge map. Firstly, SAO structure is extracted from selected patents, secondly, the similarity between patents is calculated based on extracted SAO structure, thirdly, patent network and patent map are drawn based on calculated patent similarity matrix, technology evolution process and future trends of industrial robot are summarized from patent network, and future potential technology opportunities are predicted based on technological vacancies identified from patent map. Finally, this paper identifies six key technical areas and four potential technical opportunities in the field of the industrial robot.
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