抛光机专利数据

通过收集抛光机领域专利申请人、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抛光机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抛光机，找出抛光机方向专利数据，并根据自有算法对专利数据进行了评价和分类，可用于了解抛光机专利数据变化情况，有助于了解抛光机知识产权工作成果；通过对各企业/个人抛光机专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解抛光机的技术发展趋势，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：全球专利数据库中抛光机相关发明专利、实用新型专利数据。2数据采集：本数据目标层为专利技术相关性，指标层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，检索出有关于抛光机的专利，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；经济价值：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、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。By collecting data such as patent applicants, legal statuses, technical subject classifications, and the number of simple family members in the polishing machine field, this dataset primarily includes invention patents and utility model patents related to "polishing machine" from the global patent database. After filtering the keyword "polishing machine" from the results to identify patent data in the polishing machine domain, the patent data was evaluated and classified using a proprietary algorithm. This dataset can be used to track changes in polishing machine-related patent data, facilitating an understanding of the outcomes of intellectual property work in the polishing machine field; by comparing the polishing machine-related patent data of various enterprises/individuals, it is possible to understand the technological innovation capabilities and differences in innovation levels of each enterprise/individual, as well as grasp the technological development trends of polishing machines, which helps enterprises avoid redundant R&D and the risk of infringing others' intellectual property rights with their developed technologies. 1. Data Source: Invention patents and utility model patents related to "polishing machine" from the global patent database. 2. Data Collection: The target layer of this dataset is patent technology relevance. The indicator layer divides the patent technology relevance index system into five value dimensions: market, technology, law, strategy, and economy. Patents related to "polishing machine" were retrieved, and the indicator layer is further subdivided into the criterion layer, which includes: - Technical Value: Number of IPC classifications, number of cited patents; - Economic Value: Number of pledge times; - Legal Value: Number of claims, number of document pages; - Strategic Value: Number of inventors, number of simple family members; - Market Value: Number of technical subject classifications, whether it belongs to strategic emerging industries. 3. Data Analysis: This dataset is based on the AHP hierarchy method, adopting a combination of quantitative and qualitative analysis. The technical relevance is divided into three levels from high to low (A, B, C), where A represents high relevance, B represents general relevance, and C represents relatively low relevance. The comprehensive scoring method is applied as follows: - Category A: Strategic value ≥ 50 points, economic value ≥ 20 points, market value ≥ 50 points, legal value ≥ 60 points, and technical value ≥ 30 points; - Category B: Strategic value ranging from 40 to 50 points (excluding 50 points), economic value ≥ 20 points, market value ≥ 30 points, legal value ≥ 70 points, and technical value ≥ 30 points; - Category C: All remaining cases. 4. Data Application: Provide R&D decision-making basis and priority reference for technical avoidance for technical personnel in the polishing machine field.

搜集汇总

数据集介绍

特点

该数据集包含358条抛光机相关的专利数据，每年更新一次。数据涵盖了专利的公开号、标题、法律状态、申请日、技术主题分类等信息，并通过AHP层次法对专利的技术关联性进行了分类。数据集可用于分析抛光机领域的技术发展趋势、企业创新能力以及知识产权保护情况。