建筑智能化系统高价值专利数据

建筑智能化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建筑智能化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，有助于了解建筑智能化系统知识产权申请情况及地域布局；通过对各企业建筑智能化系统专利数据的对比，可了解各企业的技术创新能力；了解建筑智能化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，为建筑智能化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。

The High-Value Patent Database for Building Intelligent Systems mainly includes invention patents and utility model patents related to building intelligent systems sourced from the global patent database. It retrieves and scores the patent data using proprietary algorithms, enabling stakeholders to understand the intellectual property (IP) filing status and geographic layout of building intelligent systems. By comparing the patent data of building intelligent systems across different enterprises, one can evaluate the technological innovation capabilities of each enterprise. Gaining insights into the development trends and core technologies of building intelligent systems helps enterprises avoid redundant R&D and intellectual property infringement.

This database is developed based on the Analytic Hierarchy Process (AHP), combining quantitative and qualitative methods based on the patent valuation methodology. The patent value indicator system is divided into three first-level indicators: technical, legal, and economic value. The first-level indicators are further broken down into second-level indicators:
1. Technical value indicators: number of independent claims, word count of the primary independent claim (sovereign claim), remaining patent term, number of patent family members, number of citations made by the patent, number of citations received by the patent, score of applicant type, number of participating inventors, and number of covered technical fields;
2. Legal value indicators: patent type, number of document pages, and number of invalidation requests filed against the patent;
3. Economic value indicators: number of transfers, number of licenses, number of pledge financing transactions, score of patent awards, and 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 names and patent numbers. Using the 1-9 scaling method (minimum score: 1, maximum score: 9), the weights of each indicator are calculated. Each indicator's score is multiplied by its corresponding weight, and the sum of all weighted scores constitutes the patent's total score. Patents are classified according to score intervals, providing technical references and guidance for R&D personnel of enterprises engaged in building intelligent systems, and offering R&D decision-making support for relevant companies.

搜集汇总

数据集介绍

特点

建筑智能化系统高价值专利数据集包含395条专利数据，每年更新一次，涵盖了全球范围内的发明专利和实用新型专利。数据集通过AHP层次法对专利进行评价打分，指标包括技术、法律和经济三个维度，旨在帮助企业了解技术创新能力、避免重复研发和侵权风险。