防伪标签专利数据

通过收集防伪标签领域专利申请人、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防伪标签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防伪标签，找出防伪标签方向专利数据，并根据自有算法对专利数据进行了评价和分类，可用于了解防伪标签专利数据变化情况，有助于了解防伪标签知识产权工作成果；通过对各企业/个人防伪标签专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解防伪标签的技术发展趋势，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。1、数据来源：全球专利数据库中与防伪标签相关的发明专利和实用新型专利数据；2、数据采集：数据目标层为专利技术相关性，指标层是将专利技术相关性指标体系分为市场、技术、法律、战略、经济五大价值维度，是检索出有关于防伪标签的专利，指标层向下分准则层，包括：技术价值：IPC分类数量、被引用专利数量、授权年限；经济价值：剩余年数、质押次数；法律价值：权利要求数、文献页数；战略价值：发明人数量、简单同族成员数量；市场价值：技术主题分类数、专利类型、是否战略新兴产业。3、数据分析：本数据基于AHP层次法，采用定量与定性相结合，将技术关联性按从高到低分为（A、B、C），A为高关联性、B为一般关联性、C为较低关联性。采用综合分值法：战略价值≥50分及以上、经济价值≥20分及以上、市场价值≥50分及以上、法律价值≥60分及以上、技术价值≥30分及以上为A，战略价值40-50分（不含50分）、经济价值≥20分及以上、市场价值≥30分及以上、法律价值≥70分及以上、技术价值≥30分及以上为B，其余为C；4、数据应用：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。

This dataset is developed by collecting multi-dimensional data including patent applicants, legal status, technical subject classification, and number of simple patent family members in the anti-counterfeit label field. It primarily covers invention patents and utility model patents related to anti-counterfeit labels from the global patent database. First, we filtered the patent data in the anti-counterfeit label field using the keyword "anti-counterfeit labels", then evaluated and classified the collected patent data with a proprietary algorithm. This dataset enables users to track the dynamics of anti-counterfeit label patent data, thereby gaining insights into the outcomes of intellectual property work in this domain; by comparing the patent datasets of anti-counterfeit labels across different enterprises or individuals, users can identify disparities in their technological innovation capabilities and innovation levels; additionally, it helps analyze the technological development trends of anti-counterfeit labels, allowing enterprises to avoid redundant R&D and intellectual property infringement from their developed technologies.
1. Data Source: Data of invention patents and utility model patents related to anti-counterfeit labels from the global patent database.
2. Data Collection: The target layer of the dataset is patent technological relevance. The indicator layer divides the patent technological relevance index system into five value dimensions: market, technology, law, strategy, and economy, for retrieving patents related to anti-counterfeit labels. The indicator layer is further broken down into the criterion layer as follows:
- Technological value: number of IPC classifications, number of forward citations received, authorization period
- Economic value: remaining patent term, number of pledges
- Legal value: number of claims, number of document pages
- Strategic value: number of inventors, number of simple patent family members
- Market value: number of technical subject classifications, patent type, whether the patent belongs to strategic emerging industries
3. Data Analysis: Based on the AHP (Analytic Hierarchy Process) method, adopting a combination of quantitative and qualitative analysis, this dataset categorizes the technological relevance into three tiers from high to low: A, B, and C, where A stands for high relevance, B for general relevance, and C for relatively low relevance. The specific composite scoring criteria are as follows:
- Tier A: Strategic value ≥ 50 points, Economic value ≥ 20 points, Market value ≥ 50 points, Legal value ≥ 60 points, Technological value ≥ 30 points
- Tier B: Strategic value ranging from 40 to 50 points (excluding 50), Economic value ≥ 20 points, Market value ≥ 30 points, Legal value ≥ 70 points, Technological value ≥ 30 points
- Tier C: All other cases
4. Data Application: Provide priority reference bases for R&D decision-making and technology avoidance for technical personnel in the anti-counterfeit label field.

搜集汇总

数据集介绍

特点

该数据集包含834条防伪标签相关的专利数据，每年更新一次，涵盖了专利的多个维度信息，适用于分析防伪标签领域的技术创新和发展趋势。数据集采用AHP层次法进行技术关联性评估，为研发决策和技术规避提供参考。