油烟监控专利数据

通过收集油烟监控领域专利申请人、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油烟监控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油烟监控，找出油烟监控方向专利数据，并根据自有算法对专利数据进行了评价和分类，可用于了解油烟监控专利数据变化情况，有助于了解油烟监控知识产权工作成果；通过对各企业/个人油烟监控专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解油烟监控的技术发展趋势，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：全球专利数据库中油烟监控相关发明专利、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，检索出有关于油烟监控的专利，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 constructed by collecting data including patent applicants, legal status, technical subject classification, and the number of simple patent family members in the oil fume monitoring field. It mainly covers invention patents and utility model patents related to oil fume monitoring in the global patent database. The keyword "oil fume monitoring" is used to screen out patent data in the oil fume monitoring direction from the dataset, and self-developed algorithms are applied to evaluate and classify the patent data. This dataset can be used to track changes in oil fume monitoring patent data and gain insights into the outcomes of intellectual property work in this field; by comparing the oil fume monitoring patent data of different enterprises or individuals, it helps to understand the differences in technological innovation capabilities and innovation levels among various entities; understanding the technological development trends of oil fume monitoring can assist enterprises in avoiding redundant R&D and preventing their developed technologies from infringing others' intellectual property rights. 1. Data Source: Data of invention patents and utility model patents related to oil fume monitoring from the global patent database. 2. Data Collection: The target layer of this 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. The indicator layer is further decomposed into criterion layers as follows: - Technological value: number of IPC classifications, number of cited patents, years of authorization - Economic value: remaining service years, number of pledge times - 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 it belongs to strategic emerging industries 3. Data Analysis: This dataset adopts the Analytic Hierarchy Process (AHP), combining quantitative and qualitative analysis methods. The technological relevance is divided into three levels from high to low: (A, B, C), where A stands for high relevance, B for general relevance, and C for relatively low relevance. The comprehensive scoring criteria are specified as: - Category A: Strategic value ≥ 50 points, Economic value ≥ 20 points, Market value ≥ 50 points, Legal value ≥ 60 points, Technological value ≥ 30 points - Category B: Strategic value ranges from 40 to 50 points (excluding 50), Economic value ≥ 20 points, Market value ≥ 30 points, Legal value ≥ 70 points, Technological value ≥ 30 points - Category C: All other cases 4. Data Application: Provide R&D decision-making basis and priority reference for technical avoidance for technicians in the oil fume monitoring field.

搜集汇总

数据集介绍

特点

油烟监控专利数据包含161条全球专利数据，涵盖发明专利和实用新型专利，通过五大价值维度进行评价和分类，适用于技术创新能力对比和技术发展趋势分析。