碳刷专利数据

数据包中主要包括了全球专利数据库中有关碳刷专利数据的发明和实用新型专利数据，并根据自有算法对专利数据进行了评价和分类，可用于横向、纵向了解碳刷专利数据的专利数据变化情况，有助于了解碳刷专利数据的知识产权工作成果: 通过对各企业/个人碳刷专利数据专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异，了解碳刷专利数据的技术发展超势，有助于企业避免重研发，避免企业开发的技术侵犯他人的知识产权。本数据基于熵权法的 AHP 模型，目标层为综合价值，指标层将综合价值指标体系分为技术、战略、经济三大价值维度，指标层向下分准则层，包括: 技术价值:被引证数、IPC小类数、权项数、存活期；经济价值:剩余有效期、转让次数、许可次数、质押次数；战略价值：同族数、布局国家/地域数。根据维度和指标建立三个维度的原始矩阵和专利评价准则求得相应权重，计算各个维度的单项值，将各个维度的值相加后获得综合价值，用lookup函数判断单个专利的综合价值所在数值区间，用于区分高价值专利、一般价值专利和低价值专利（综合价值≥25的为高价值专利；15＞综合价值的为低价值专利；25＞综合价值≥15的为一般价值专利），为本领域技术人员提供研发决策依据和技术规避作优先参考。 数据来源：全球专利数据库，通过关键字和ipc分类筛选目标专利。 高价值专利评定参考依据：《高价值专利评价方法》T/ISC 0030-2023。This dataset mainly includes invention and utility model patent data related to carbon brushes from the global patent database. It evaluates and classifies the patent data using a self-developed algorithm, enabling horizontal and longitudinal analysis of changes in carbon brush-related patent data, and helping gain insights into the achievements of intellectual property (IP) work in this field. By comparing the carbon brush patent data of various enterprises and individuals, one can understand the differences in technological innovation capabilities and innovation levels among them, as well as grasp the technological development trends of carbon brush-related patents. This helps enterprises avoid redundant R&D and prevent their developed technologies from infringing others' intellectual property rights. This dataset is based on the AHP (Analytic Hierarchy Process) model integrated with the entropy weight method. The target layer is the comprehensive value, and the indicator layer divides the comprehensive value index system into three value dimensions: technological, strategic, and economic. The indicator layer is further subdivided into criterion layers, which are as follows: - Technological value: number of citations, number of IPC subclasses, number of claims, and patent lifespan; - Economic value: remaining validity period, number of assignments, number of licenses, and number of pledges; - Strategic value: number of patent families, and number of countries/regions covered by the patent layout. Based on the dimensions and indicators, original matrices for the three dimensions and patent evaluation criteria are established to calculate corresponding weights, then the individual values of each dimension are computed, and the comprehensive value is obtained by summing the values of all dimensions. The LOOKUP function is used to determine the numerical interval of the comprehensive value for a single patent, to distinguish high-value, medium-value, and low-value patents: high-value patents are those with a comprehensive value ≥ 25; low-value patents are those with a comprehensive value < 15; and medium-value patents are those with 15 ≤ comprehensive value < 25. This provides R&D decision-making basis and priority references for patent infringement avoidance for technicians in this field. Data Source: Global Patent Database. Target patents are screened via keywords and IPC classifications. Reference for High-Value Patent Evaluation: *High-Value Patent Evaluation Method* T/ISC 0030-2023.

搜集汇总

数据集介绍

特点

该数据集包含218条全球碳刷专利数据，通过熵权法的AHP模型对专利进行技术、战略、经济三大维度的评价，帮助了解碳刷技术发展趋势和企业创新能力。