智能汽车行业高价值专利数据
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智能汽车行业高价值专利数据库中主要包括了全球专利数据库中有智能汽车行业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，有助于了解智能汽车行业知识产权申请情况及地域布局；通过对各企业智能汽车行业专利数据的对比，可了解各企业的技术创新能力；了解智能汽车行业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。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、剩余有效期(年)、同族专利数、引证其它专利数、被其他专利引证数、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，为智能汽车行业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 the Intelligent Vehicle Industry mainly covers invention patents and utility model patents related to intelligent vehicle manufacturing from global patent databases. It retrieves and scores the patent data using proprietary algorithms, which helps users gain insights into the intellectual property (IP) filing status and geographic layout of the intelligent vehicle industry. By comparing the patent data of different enterprises in this industry, users can understand their respective technological innovation capabilities. Understanding the technological development trends and core technologies of the intelligent vehicle industry also helps enterprises avoid redundant R&D and intellectual property infringement. The dataset is constructed based on the Analytic Hierarchy Process (AHP), combining quantitative and qualitative methods starting from the patent valuation methodology. The patent value indicator system is divided into three first-level indicators: technological, legal, and economic value. These first-level indicators are further broken down into second-level indicators: - Technological value indicators: number of independent claims, word count of the principal independent claim, remaining validity period (years), number of patent families, number of cited patents, number of forward citations, number of participating inventors, number of covered technical fields; - Legal value indicators: patent type, number of document pages, number of received invalidation requests; - Economic value indicators: number of transfers, number of licenses, number of pledge financing cases, patent award score, customs recordation score. A three-dimensional matrix is established based on the first-level and second-level indicators. Data indicators required for patent evaluation are obtained via patent interface data. The 1-9 scoring scale (minimum 1 point, maximum 9 points) is adopted to calculate the corresponding indicator weights, which are then used to compute the scores of each individual indicator. The sum of all individual indicator scores constitutes the total patent score. Patents are categorized according to their total 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 enterprises in the intelligent vehicle industry, and offers decision-making support for corporate R&D strategies.
