餐饮管理系统高价值专利数据

餐饮管理系统高价值专利数据库中主要包括了全球专利数据库中有餐饮管理系统的发明专利和实用新型专利数据，并根据自有算法对专利数据进行了检索、评价打分，有助于了解餐饮管理系统知识产权申请情况及地域布局；通过对各企业餐饮管理系统专利数据的对比，可了解各企业的技术创新能力；了解餐饮管理系统发展趋势及核心技术，有助于企业避免重复研发及侵犯他人的知识产权。本数据基于AHP层次法，采用定量与定性相结合，从专利价值度法出发，指标层将专利价值指标体系分为技术、法律、经济3项一级指标，一级指标层向下为二级指标，包括技术价值指标：独立权利要求数量、主权项字数、专利剩余年限、同族专利数、引证其它专利数、被其他专利引证数、申请人类型得分、发明人投入人数、涉及领域数；法律价值指标：专利类型、文献页数、被无效请求次数；经济价值指标：转让次数、许可次数、质押融资次数、专利奖得分、海关备案得分；根据一级、二级指标建立3个维度的矩阵，根据专利名称和专利号通过专利接口数据获取专利评价对应的数据指标，采用1-9分标度法（最低为1分，最高为9分），求得相应的指标权重，用权重技术各个指标的分值，所有指标分值的和即为专利得分，根据分值的区间段对专利进行划分，80-100为高价值专利、60-80位重要专利、60分以下为一般专利，为餐饮管理系统企业研发人员提供技术参考及指引，为公司提供研发决策指导。以上算法中提到的数据结果均在数据结构中体现。

The High-Value Patent Database for Catering Management Systems primarily includes invention patents and utility model patents related to catering management systems from the global patent database. It retrieves and conducts evaluation scoring on the patent data via a proprietary algorithm, which helps enterprises grasp the intellectual property (IP) filing status and geographical layout of catering management system-related patents. By comparing the patent datasets of catering management systems across different enterprises, the technical innovation capabilities of each enterprise can be evaluated. Furthermore, understanding the development trends and core technologies of catering management systems assists enterprises in avoiding redundant R&D activities and intellectual property infringement risks.

This dataset is developed based on the Analytic Hierarchy Process (AHP), adopting a combination of quantitative and qualitative methods starting from the patent valuation framework. The patent value indicator system is divided into three first-level indicators: technical value, legal value, and economic value. Each first-level indicator is further decomposed into second-level indicators:
1. Technical value indicators: number of independent claims, word count of the independent claim, remaining patent term, number of patent families, number of cited external patents, number of citations received by the patent, score of applicant type, number of contributing inventors, number of involved technical fields;
2. Legal value indicators: patent type, number of document pages, number of received invalidation requests;
3. Economic value indicators: number of transfer transactions, number of license transactions, number of pledge financing transactions, score of patent awards, score of customs recordation filings.

A three-dimensional matrix is established based on the first-level and second-level indicators. The required data indicators for patent evaluation are obtained through patent interface data based on patent titles and patent numbers. The 1-9 scaling method (with 1 as the lowest score and 9 as the highest) is used to calculate the weights of each indicator, which are then applied to compute the scores of individual indicators. The sum of all individual indicator scores yields the total patent score. Patents are categorized according to their total score ranges: 80-100 as high-value patents, 60-80 as important patents, and below 60 as general patents. This database provides technical references and guidance for R&D personnel of catering management system enterprises, and offers support for corporate R&D decision-making.

All data results mentioned in the aforementioned algorithms are fully reflected in the data structure.

搜集汇总

数据集介绍

特点

该数据集为餐饮管理系统高价值专利数据，包含130条专利信息，涵盖技术、法律和经济价值指标，每年更新一次，适用于分析餐饮管理系统的知识产权申请情况和技术创新能力。