智能仪器仪表管理系统高价值专利数据

智能仪器仪表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，有助于了解智能仪器仪表管理系统知识产权申请情况及地域布局；通过对各企业智能仪器仪表管理系统专利数据的对比，可了解各企业的技术创新能力；了解智能仪器仪表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，为智能仪器仪表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 Intelligent Instrument and Meter Management System mainly includes invention patent and utility model patent data related to catering management systems from the global patent database. It retrieves and scores the patent data using proprietary algorithms, which helps understand the intellectual property (IP) filing status and geographical layout of the intelligent instrument and meter management system. By comparing the patent data of intelligent instrument and meter management systems from different enterprises, one can grasp the technological innovation capabilities of each enterprise. Understanding the development trends and core technologies of the system helps enterprises avoid redundant R&D and intellectual property infringement.

This database is based on the Analytic Hierarchy Process (AHP), combining quantitative and qualitative analysis. Starting from the patent valuation method, the indicator system divides patent value into three first-level indicators: technology, law, and economy. The first-level indicators are further broken down into second-level indicators:
- Technical value indicators: number of independent claims, word count of the independent claim, remaining patent term, number of patent family members, number of cited external patents, number of times cited by other patents, score of applicant type, number of participating inventors, number of involved technical fields;
- Legal value indicators: patent type, number of document pages, number of invalidation requests received;
- Economic value indicators: number of transfers, number of licenses, number of pledge financing cases, score of patent awards, score of customs recordation.

A three-dimensional matrix is established based on the first-level and second-level indicators. Corresponding data indicators for patent evaluation are obtained through patent interface data using patent titles and patent numbers. The 1-9 scaling method (minimum 1 point, maximum 9 points) is adopted to calculate the corresponding indicator weights. The score of each indicator is multiplied by its weight, and the sum of all indicator scores is the final patent score. Patents are classified according to their score intervals: 80-100 are high-value patents, 60-80 are important patents, and below 60 are general patents. This database provides technical references and guidance for R&D personnel of enterprises engaged in intelligent instrument and meter management systems, and offers R&D decision-making support for companies. All data results mentioned in the above algorithms are reflected in the data structure.

搜集汇总

数据集介绍

特点

该数据集包含156条智能仪器仪表管理系统的高价值专利数据，涵盖专利号、专利名称、专利类型等多个字段，每年更新一次。数据通过AHP层次法从技术、法律、经济三个维度对专利价值进行评分，为企业研发提供决策支持。