气管插管专利价值评价数据

通过收集气管插管领域专利申请人、法律状态、技术主题分类、简单同族成员数量等数据，形成了主要包括全球专利数据库中与气管插管相关的发明专利和实用新型专利数据，在结果中筛选关键词气管插管，找出气管插管方向专利数据，并根据自有算法对专利数据进行了评价和分类，可用于了解气管插管专利数据变化情况，有助于了解气管插管知识产权工作成果；通过对各企业/个人气管插管专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解气管插管的技术发展趋势，有助于企业避免重复研发，避免企业开发的技术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、权利要求数量、首项权利要求字数、专利寿命（即专利已经维持有效的天数）、同族专利数、引证其它专利数、被其他专利引证数、发明人数量、IPC数量；法律价值指标：专利类型、说明书页数、诉讼次数；经济价值指标：转让次数、许可次数、质押次数；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为重要专利、60分以下为一般专利，为气管插管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。

This dataset is developed by collecting data including patent applicants, legal status, technical subject classification, and number of simple patent family members in the field of endotracheal intubation. It primarily covers invention patents and utility model patents related to endotracheal intubation from the global patent database. First, we screen the patent data using the keyword "endotracheal intubation", then evaluate and classify the screened patent data with a self-developed algorithm. This dataset can be utilized to track the changes of endotracheal intubation-related patent data and understand the achievements of intellectual property (IP) work in this domain. By comparing the patent data of different enterprises or individuals, it helps to discern the technological innovation capabilities and gaps in innovation levels among various entities. Moreover, it enables the analysis of technological development trends of endotracheal intubation, assisting enterprises in avoiding redundant R&D and infringing upon others' intellectual property rights. The patent evaluation is based on the Analytic Hierarchy Process (AHP), combining quantitative and qualitative methods from the perspective of patent valuation. The patent value indicator system is divided into three first-level indicators: technological value, legal value, and economic value, with corresponding second-level indicators under each category. The second-level indicators are as follows: Technological value indicators include number of independent claims, total number of claims, word count of the first claim, patent duration (i.e., days the patent has remained valid), number of simple patent family members, number of patents cited by this patent, number of citations received by this patent, number of inventors, and number of IPC classification codes; Legal value indicators include patent type, number of pages in the specification, and number of litigation cases; Economic value indicators include number of assignment transactions, number of license transactions, and number of pledge transactions. A three-dimensional matrix is established based on the first-level and second-level indicators. Data of the required indicators for patent evaluation are obtained via patent interface data. The 1-9 scaling method (with 1 as the lowest score and 9 as the highest) is adopted to calculate the weights of each indicator, and the total patent score is obtained by weighting the scores of all indicators. Patents are categorized according to score intervals: 80-100 for high-value patents, 60-80 for important patents, and below 60 for ordinary patents. This dataset provides technical references and guidance for R&D personnel in the endotracheal intubation industry, and offers decision-making support for enterprise R&D.

搜集汇总

数据集介绍

特点

该数据集为气管插管专利价值评价数据，包含601条记录，每年更新，适用于分析气管插管领域的技术创新和知识产权情况。数据通过AHP层次法评价专利价值，涵盖技术、法律和经济三个维度，为企业研发决策提供参考。