| 徐 进 赵长宇 王范华 范慧博.专利主题关联视角下储能技术演化分析[J].中国科技资源导刊,2024,(4):63~72 |
| 专利主题关联视角下储能技术演化分析 |
| Evolution Analysis of Energy Storage Technology from the Perspective of Patent Topic Correlation |
| 投稿时间：2024-03-28 |
| DOI： |
| 中文关键词: 专利主题关联;储能技术，演化分析;主题识别;技术演化 |
| 英文关键词: patent subject association, energy storage technology, evolutionary analysis, topic recognition, technical evolution |
| 基金项目: |
| 作者 | 单位 | | 徐 进 赵长宇 王范华 范慧博 | (国家电投集团内蒙古能源有限公司，内蒙古通辽 028011) |
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| 摘要点击次数: 41 |
| 全文下载次数: 69 |
| 中文摘要: |
| 利用专利主题关联视角对储能技术演化进行分析，深度挖掘专利数据，以揭示储能技术的创新轨迹和关键节点。建立LDA模型并结合主题前沿性和新颖度指标筛选出具有前瞻性的技术主题，并综合考虑专利创新性、有效性以及主题贡献率等建立主题之间的语义关联矩阵。研究表明，以专利主题关联视角进行前沿主题识别和技术演化具有一定的可行性。研究结果为储能领域的技术主题识别和技术演化分析提供了参考借鉴。 |
| 英文摘要: |
| From the perspective of patent topic correlation, this study analyzes the evolution of energy storage technology, aiming to reveal the innovation trajectory and key nodes of energy storage technology through deep mining of patent data. Using the LDA model, this paper selects forward-looking technical topics along with frontier and novelty indicators. Then, this paper establishes a semantic correlation matrix between topics considering patent innovation, effectiveness, and topic contribution rate. The research results indicate that it is feasible to identify cutting-edge topics and analyze technical evolution from the perspective of patent topic association. This result provides a reference for identifying technical topics and analyzing technological evolution in the field of energy storage. |
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