高抗冲聚氯乙烯加筋管的复合材料专利数据

数据包中主要包括了全球专利数据库中有关高抗冲聚氯乙烯加筋管的发明专利数据，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、纵向了解专利数据变化情况及发展方向，有助于了解高抗冲聚氯乙烯加筋管知识产权工作成果；通过各项专利数据的对比，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。本数据基于熵权法的 AHP 模型，目标层为专利价值，指标层将专利价值指标体系分为市场、技术、法律、战略、经济五大价值维度，指标层向下分准则层，包括：技术价值：IPC分类号、被引证专利数、被引证数、简单同族专利申请数量、简单同族被引用数量、授权日；经济价值：剩余有效期、转让次数，许可次数；法律价值：申请时间，法律状态；战略价值：发明人数量、同族数、被引用次数；市场价值：IPC分类号、专利类型。基于层次分析（AHP）的主观赋值方法，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，为本领域的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 dataset mainly includes invention patent data related to high-impact polyvinyl chloride (PVC) reinforced pipes from the global patent database. It evaluates and classifies the patent data using proprietary algorithms, enabling users to conduct horizontal and vertical analyses of the changes and development trends of patent data, and facilitating the mastery of intellectual property work achievements in the field of high-impact PVC reinforced pipes. By comparing various patent data and analyzing technological development trends, it helps enterprises avoid redundant R&D and prevents the technologies developed by enterprises from infringing others' intellectual property rights.

This dataset is based on the AHP (Analytic Hierarchy Process) model combined with the entropy weight method. The target layer is patent value, and the index layer divides the patent value indicator system into five core value dimensions: market, technology, law, strategy, and economy, which are further subdivided into the criterion layer as detailed below:
- Technology value: IPC classification number, number of cited patents, number of citations, number of simple family patent applications, number of citations of simple families, authorization date
- Economic value: remaining validity period, number of transfers, number of licenses
- Legal value: application date, legal status
- Strategic value: number of inventors, number of patent families, number of citations
- Market value: IPC classification number, patent type

Based on the subjective assignment method of AHP, the data indicators required for patent evaluation are acquired via patent interface data. The 1-9 scaling method (where 1 represents the lowest score and 9 represents the highest) is adopted to calculate the corresponding indicator weights, which are then used to compute the scores of each individual indicator. The sum of all indicator scores yields the final patent score. Patents are categorized according to their score intervals: 80-100 as high-value patents, 60-80 as important patents, and below 60 as general patents. This dataset provides technical references and guidance for R&D personnel in this field, as well as evidence-based decision-making support for corporate R&D activities.

搜集汇总

数据集介绍

特点

该数据集包含197条高抗冲聚氯乙烯加筋管的复合材料专利数据，每月更新，通过AHP模型评估专利价值，分为五大价值维度，并提供专利评分区间划分，有助于企业技术研发决策和知识产权管理。