水下机器人领域发明授权专利价值分析数据集

本数据集基于原始水下机器人专利数据，通过价值评分模型（结合技术新颖性、技术影响力和专利权人实力）生成每个专利的价值指标（评分和分类）。新增Patent_Age、IPC_Frequency、Applicant_Count、Value_Score、Value_Category等字段，提升数据在知识产权管理中的实用性。

This dataset is constructed based on raw underwater robotics patent data. A value scoring model integrating technical novelty, technical impact, and patent assignee strength is employed to generate value metrics (scores and categories) for each patent. New fields including Patent_Age, IPC_Frequency, Applicant_Count, Value_Score, and Value_Category have been added to enhance the practicality of the dataset for intellectual property management.

搜集汇总

背景与挑战

背景概述

该数据集专注于水下机器人领域的发明授权专利，通过价值评分模型量化专利价值，包括技术新颖性和影响力等指标。它适用于知识产权评估和投资决策，新增了价值评分和分类字段，提升数据实用性，服务于专利事务所和科研机构等用户。