洗鞋机专利数据
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数据包中主要包括了全球专利数据库中有关洗鞋机的发明和实用新型专利数据，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、纵向了解洗鞋机的专利数据变化情况，有助于了解洗鞋机的知识产权工作成果: 通过对各企业/个人洗鞋机专利数据的对比，可了解各企业/个人的技术创新能力.创新水平差异，了解洗鞋机的技术发展超势，有助于企业避免重研发，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，目标层为综合价值，指标层将综合价值指标体系分为技术、战略、经济三大价值维度，指标层向下分准则层，包括: 技术价值:被引证数、IPC小类数、权项数、存活期；经济价值:剩余有效期、转让次数、许可次数、质押次数；战略价值：同族数、布局国家/地域数。根据维度和指标建立三个维度的原始矩阵和专利评价准则求得相应权重，计算各个维度的单项值，将各个维度的值相加后获得综合价值，用lookup函数判断单个专利的综合价值所在数值区间，用于区分高价值专利、一般价值专利和低价值专利（综合价值≥25的为高价值专利；15＞综合价值的为低价值专利；25＞综合价值≥15的为一般价值专利），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。 数据来源：全球专利数据库，通过关键字和ipc分类筛选目标专利。 高价值专利评定参考依据：《高价值专利评价方法》T/ISC 0030-2023。
The data package mainly includes invention and utility model patent data related to shoe washing machines retrieved from the global patent database. A self-developed algorithm is applied to evaluate and classify the patent data, enabling horizontal and longitudinal analysis of the changes in shoe washing machine patent data and facilitating the understanding of intellectual property work outcomes in the shoe washing machine sector. By comparing the shoe washing machine patent data of various enterprises and individual inventors, one can assess the technological innovation capabilities and gaps in innovation levels among different entities, as well as grasp the technological development trends of shoe washing machines. This supports enterprises in avoiding redundant R&D and preventing their developed technologies from infringing upon others' intellectual property rights. This dataset is based on an AHP model integrated with the entropy weight method. The target layer is set as the comprehensive value, while the index layer divides the comprehensive value index system into three value dimensions: technological, strategic, and economic. The index layer is further broken down into criterion layers, which include: - Technological value: citation count, number of IPC subclasses, number of claims, and patent survival period; - Economic value: remaining validity period, number of transfers, number of licenses, and number of pledges; - Strategic value: number of patent families, and number of countries/regions for patent layout. Based on the dimensions and indicators, the original matrix and patent evaluation criteria for the three dimensions are established, the corresponding weights are calculated, the individual score for each dimension is derived, and the scores of all dimensions are summed to obtain the comprehensive value of a single patent. The LOOKUP function is then utilized to determine the numerical interval of the comprehensive value, so as to classify patents into three categories: high-value patents (comprehensive value ≥ 25), general-value patents (15 ≤ comprehensive value < 25), and low-value patents (comprehensive value < 15). This provides a basis for R&D decision-making and a priority reference for technical avoidance for technicians in this field. Data source: Global patent database, where target patents are screened via keywords and IPC classification. The evaluation of high-value patents refers to the standard "High-Value Patent Evaluation Method" T/ISC 0030-2023.
