花卉培育技术高价值专利数据

花卉培育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花卉培育技术制造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，有助于了解花卉培育技术知识产权申请情况及地域布局；通过对各企业花卉培育技术专利数据的对比，可了解各企业的技术创新能力；了解花卉培育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，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，为花卉培育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。

The High-Value Patent Database for Flower Cultivation Technology primarily contains invention and utility model patent data related to flower cultivation technology manufacturing from the global patent database. It retrieves, evaluates, and scores the patent data using its own proprietary algorithm, which helps to understand the intellectual property (IP) application status and geographical layout of flower cultivation technologies; by comparing the patent data of flower cultivation technologies across different enterprises, one can grasp the technological innovation capabilities of each enterprise; understanding the development trends and core technologies of flower cultivation technologies helps enterprises avoid redundant R&D and intellectual property infringement.

This database is based on the Analytic Hierarchy Process (AHP), combining quantitative and qualitative research methods. Starting from the patent value assessment framework, the patent value indicator system is divided into three first-level indicators: technology, law, and economy. The first-level indicators are further decomposed into second-level indicators as follows:
1. Technological value indicators: number of independent claims, word count of the independent claim, remaining patent term, patent family count, number of cited patents, number of citations by other patents, applicant type score, number of participating inventors, number of involved technical fields;
2. Legal value indicators: patent type, number of document pages, number of invalidation requests received;
3. Economic value indicators: number of transfers, number of licenses, number of pledge financing transactions, patent award score, customs recordation 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. The 1-9 scaling method (with 1 as the lowest score and 9 as the highest) is adopted to calculate the weight of each indicator, and the score of each indicator is computed using the corresponding weights. The sum of all indicator scores constitutes the total patent score. Patents are categorized by their score ranges: 80-100 are high-value patents, 60-80 are important patents, and those below 60 are general patents. This database provides technical references and guidance for R&D personnel of flower cultivation technology enterprises, and offers R&D decision-making support for companies.