台州微型电风扇产品相关专利价值评价数据
收藏资源简介：
数据包中主要包括了台州有关微型电风扇产品的相关专利，根据自有算法对专利数据进行了评价，可用于横向、纵向了解台州市微型电风扇产业专利数据变化情况，有助于了解微型电风扇产品知识产权工作成果；通过现有专利价值的评估，帮助企业及早做好专利保护；了解微型电风扇产品的技术发展趋势，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.数据采集：通过第三方知识产权检索网站，对台州地区微型电风扇产品的发明专利数量、实用新型数量、外观设计数量进行采集。2.数据处理：对采集到的原始数据进行处理，通过去除重复和有缺失的数据，对数据进行清理分类。3、数据计算：通过技术，法律、市场、战略、经济五个方面进行价值评估，技术价值：被审查员引证数，引用专利国别数，引用非专利文献数，引证专利数，IPC部数，IPC小类数；法律价值：独权数、主权项数字数、复审决定、权项数、说明书页数、布局国家数、PCT国际申请、存活期；市场价值：同族数，剩余有效期；战略价值：标准专利、专利奖计；经济价值：转让次数、许可次数、质押次数算；专利价值度评价模采用层次分析法，基于层次分析（AHP）的主观赋值方法,对各个指标的主观确定权重，专利得分=∑五个方面各个指标 * 对应权重。利用IFS函数对专利进行价值判定，专利价值度=IFS(专利得分>45, "超高价值专利",专利得分>20, "高价值专利",专利得分>10, "一般价值专利",专利得分>0, "无价值专利",) ，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 mainly includes relevant patents for miniature electric fan products in Taizhou. The patent data is evaluated using a proprietary algorithm, which enables horizontal and vertical analysis of the changes in patent data of Taizhou's miniature electric fan industry, and helps understand the intellectual property (IP) achievements of miniature electric fan products. Through the evaluation of existing patent values, it can help enterprises carry out patent protection in advance. Additionally, it allows insights into the technological development trends of miniature electric fan products, assisting enterprises in avoiding redundant R&D and infringing on others' intellectual property rights with their developed technologies. 1. Data Collection: Relevant patent data of miniature electric fan products in Taizhou, including the counts of invention patents, utility model patents, and design patents, was collected via third-party intellectual property retrieval websites. 2. Data Processing: The collected raw data was processed, cleaned and categorized by removing duplicate and incomplete records. 3. Data Calculation: Patent value assessment is conducted from five dimensions: technical, legal, market, strategic and economic. - Technical value: Number of citations by examiners, number of patent citation countries, number of cited non-patent literatures, number of cited patents, number of IPC sections, number of IPC subclasses; - Legal value: Number of independent claims, number of words in the independent claim, reexamination decisions, number of claims, number of pages in the specification, number of filing countries, PCT international applications, remaining patent validity term; - Market value: Number of patent families, remaining valid period; - Strategic value: Standard-essential patents, patent awards received; - Economic value: Number of transfers, number of licenses, number of pledges. The patent value evaluation model adopts the Analytic Hierarchy Process (AHP), a subjective weighting method, to subjectively determine the weights of each indicator. The patent score is calculated as: Patent Score = Σ (each indicator value across the five dimensions × corresponding weight). The IFS function is used to determine the patent value level: Patent Value Level = IFS(Patent Score>45, "Ultra-high value patent", Patent Score>20, "High-value patent", Patent Score>10, "Medium-value patent", Patent Score>0, "Low-value patent"). This dataset provides priority references for R&D decision-making and technology infringement avoidance for technicians in this field.
