专利成果技术价值评估数据集

该数据集通过对大量专利技术的多角度分析，并结合行业专家的评估数据，构建了一个包含专利相关特征和技术价值预测目标的完整数据集。数据结构包括：案卷号：专利的唯一标识符；专利类型：专利的类型；技术领域：专利所涉及的技术领域；技术问题描述：专利所解决的技术问题简述；技术创新点描述：专利的技术创新点和关键技术亮点；IPC分类号：专利的国际专利分类号；技术成熟度：专利技术的成熟度；所属产业类型：专利所适用的产业领域；技术先进程度：技术的创新性与先进程度，相较现有技术具有的优势；是否符合本领域技术发展方向：专利技术是否符合当前行业发展趋势，是否具有前瞻性；技术壁垒：专利技术的实施难度和市场进入障碍；技术实施难度：技术实现过程中的难度；技术价值：专利技术的预测价值。

This dataset is constructed through multi-angle analysis of a large number of patent technologies, combined with evaluation data from industry experts, to build a comprehensive dataset containing patent-related features and technical value prediction targets. The data structure includes the following fields:
1. Patent File Number: The unique identifier of a patent;
2. Patent Type: The category of the patent;
3. Technical Field: The technical domain covered by the patent;
4. Technical Problem Description: A brief description of the technical problem solved by the patent;
5. Technical Innovation Point Description: The technical innovations and key technical highlights of the patent;
6. IPC Classification Number: The International Patent Classification number of the patent;
7. Technical Maturity: The maturity level of the patent technology;
8. Applicable Industry Type: The industrial field to which the patent applies;
9. Technical Advancement Level: The innovativeness and advancement of the technology, as well as its advantages over existing technologies;
10. Compliance with Field Technical Development Trend: Whether the patent technology conforms to the current industry development trend and has forward-looking characteristics;
11. Technical Barriers: The implementation difficulty of the patent technology and market entry barriers;
12. Technical Implementation Difficulty: The difficulty encountered during the realization of the technology;
13. Technical Value: The predicted value of the patent technology.

搜集汇总

数据集介绍

特点

该数据集主要用于专利技术价值评估，涵盖专利类型、技术领域、技术成熟度等多维度特征，适用于企业研发决策、专利投资收购、交易定价及技术转让等场景。数据格式为Excel，包含专利相关特征和技术价值预测目标，旨在为专利技术评估提供量化依据。