安全监测领域专利价值分析数据集

涵盖 12 列关键信息，清晰记录专利编号；申请日和公开（公告）日呈现时间脉络；申请（专利权）人和发明人明确专利相关主体。发明名称与文献类型表明专利内容和类别，IPC 大类划分专利技术领域。IPC 评分、价值评估及等级评定从不同维度衡量专利价值与质量，可据此分析专利申请趋势、主体表现、价值分布等。This dataset contains 12 key columns that clearly record patent numbers. The application date and publication (announcement) date reflect the temporal context of patents. The applicant (patentee) and inventors define the relevant entities associated with the patents. The invention title and document type specify the content and category of the patents, while the IPC main class classifies their technical fields. IPC score, value assessment and grade evaluation measure the value and quality of patents from multiple dimensions, allowing analysis of patent application trends, entity performance, value distribution and other related aspects.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于安全监测领域的专利价值分析，包含12列关键信息如专利编号、申请日和申请人等，用于量化评估专利价值并辅助决策。它采用机器学习方法（如K-means聚类）进行价值分类，适用于专利评估机构和投资公司，帮助识别高价值专利和分析技术趋势。数据以Excel格式提供，支持专利申请趋势和价值分布分析。