five

生态环境监测技术高价值专利数据

收藏
浙江省数据知识产权登记平台2023-11-14 更新2024-05-08 收录
下载链接:
https://www.zjip.org.cn/home/announce/trends/10592
下载链接
链接失效反馈
官方服务:
资源简介:
生态环境监测技术高价值专利数据库中主要包括了全球专利数据库中有生态环境监测技术的发明专利和实用新型专利数据,并根据自有算法对专利数据进行了检索、评价打分,有助于了解生态环境监测技术知识产权申请情况及地域布局;通过对各企业生态环境监测技术专利数据的对比,可了解各企业的技术创新能力;了解生态环境监测技术发展趋势及核心技术,有助于企业避免重复研发及侵犯他人的知识产权。本数据基于AHP层次法,采用定量与定性相结合,从专利价值度法出发,指标层将专利价值指标体系分为技术、法律、经济3项一级指标,一级指标层向下为二级指标,包括技术价值指标:独立权利要求数量、主权项字数、专利剩余年限、同族专利数、引证其它专利数、被其他专利引证数、申请人类型得分、发明人投入人数、涉及领域数;法律价值指标:专利类型、文献页数、被无效请求次数;经济价值指标:转让次数、许可次数、质押融资次数、专利奖得分、海关备案得分;根据一级、二级指标建立3个维度的矩阵,根据专利名称和专利号通过专利接口数据获取专利评价对应的数据指标,采用1-9分标度法(最低为1分,最高为9分),求得相应的指标权重,用权重技术各个指标的分值,所有指标分值的和即为专利得分,根据分值的区间段对专利进行划分,80-100为高价值专利、60-80位重要专利、60分以下为一般专利,为生态环境监测技术企业研发人员提供技术参考及指引,为公司提供研发决策指导。以上算法中提到的数据结果均在数据结构中体现。

The High-Value Patent Database for Eco-Environmental Monitoring Technology mainly includes invention patent and utility model patent data related to eco-environmental monitoring technology from the global patent database. It retrieves and evaluates the patent data with self-developed algorithms, which helps understand the intellectual property application status and geographical layout of eco-environmental monitoring technologies; by comparing the patent data of various enterprises in this field, one can grasp their technological innovation capabilities; understanding the development trends and core technologies of eco-environmental monitoring technologies also assists enterprises in avoiding redundant R&D and intellectual property infringement. This database is built based on the Analytic Hierarchy Process (AHP), adopting a combination of quantitative and qualitative methods starting from the patent valuation methodology. The patent value indicator system is divided into three first-level indicators: technological value, legal value and economic value, which are further broken down into second-level indicators: - Technological value indicators: number of independent claims, word count of the independent claim, remaining patent term, number of patent family members, number of cited external patents, number of citations by other patents, applicant type score, number of participating inventors, and number of involved technical fields; - Legal value indicators: patent type, number of document pages, and number of invalidation requests received; - Economic value indicators: number of transfer transactions, number of license transactions, number of pledge financing transactions, patent award score, and customs record filing score. A three-dimensional matrix is established based on the first-level and second-level indicators. Corresponding data indicators for patent evaluation are obtained through patent interface data based on patent titles and patent numbers. The 1-9 scaling method (with 1 as the lowest score and 9 as the highest) is used to calculate the indicator weights, and the weighted scores of each indicator are summed up to obtain the total patent score. Patents are classified by score intervals: 80-100 is high-value patents, 60-80 is important patents, and below 60 is general patents. This database provides technical references and guidance for R&D personnel of eco-environmental monitoring technology enterprises, and offers R&D decision-making support for companies. All data results mentioned in the aforementioned algorithms are reflected in the database's data structure.
提供机构:
浙江易尤特科技股份有限公司
创建时间:
2023-10-30
搜集汇总
数据集介绍
main_image_url
特点
该数据集包含95条生态环境监测技术领域的高价值专利数据,涵盖了全球范围内的发明专利和实用新型专利。通过AHP层次法从技术、法律和经济三个维度对专利进行评价,并根据得分区间将专利划分为高价值、重要和一般三类,适用于企业研发决策和技术参考。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作