浙江省科研单位智能电表及配用电系统专利价值评估分析数据
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数据包中主要包括了专利数据库中有关浙江省内科研单位申请的智能电表及配用电系统产业的发明专利数据、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、纵向了解浙江省智能电表及配用电系统产业各科研单位专利数据变化情况，有助于了解浙江省科研单位在智能电表及配用电系统产业的知识产权工作成果；通过对各科研单位智能电表及配用电系统专利数据的对比，可了解各科研单位的技术创新能力、创新水平差异；了解相关产业的技术发展趋势，有助于科研单位避免重复研发，避免科研单位开发的技术侵犯他人的知识产权。1．数据采集：通过检索网站对领域专利进行采集。2.数据处理：通过专利著录信息，分别形成专利技术价值（TVD）、法律价值（LVD）、市场价值（MVD）、战略价值（SVD）、经济价值（EVD），其中LVD从地域、权利、时间保护范围、法律稳定性等方面共17个指标进行归一化处理；TVD从技术独立性、先进程度、应用广度、应用前景等共14个指标进行归一化处理；SVD从专利防御价值、进攻价值、影响力价值等共15个指标进行归一化处理；MVD从专利实施、许可、质押、转让、判决情况等共16个指标进行归一化处理；上述指标均根据各指标的影响力，分别利用层次分析法进行量化评估，经一致性检验，得到综合评分，满分100分；EVD综合专利剩余有效期、《“十三五”国民经济行业（门类）专利实施许可统计表》中所属领域专利实施许可费计算专利估值，然后采用等级赋分制归一化处理，满分100分。最后，采用公式PVD＝α×LVD＋β×TVD＋γ×EVD+δMVD+εSVD，α，β，γ，δ，ε是权重，且α＋β＋γ+δ+ε＝１，综合计算专利价值（PVD）。3.数据应用：以PVD得分（＜70分，≥70分），实现专利价值分类。
The dataset package mainly includes invention patent data and utility model patent data related to the intelligent electricity meter and power distribution and utilization system industry, applied by research institutions within Zhejiang Province, retrieved from patent databases. The patent data is evaluated and classified using a proprietary algorithm, which enables cross-sectional and longitudinal tracking of changes in patent data of each research institution in the aforementioned industry in Zhejiang Province, facilitating the understanding of the intellectual property achievements of local research institutions in this industry. By comparing the patent data of different research institutions, one can identify the differences in their technological innovation capabilities and innovation levels, as well as grasp the technological development trends of the relevant industry. This helps research institutions avoid redundant R&D and prevent their developed technologies from infringing upon others' intellectual property rights. 1. Data Collection: Patents in the targeted field are collected via patent retrieval websites. 2. Data Processing: Based on patent bibliographic information, five patent value dimensions are constructed: Technical Value Dimension (TVD), Legal Value Dimension (LVD), Market Value Dimension (MVD), Strategic Value Dimension (SVD), and Economic Value Dimension (EVD). - LVD is normalized using 17 indicators covering geographic coverage, rights protection scope, time-limited protection, legal stability, and other relevant aspects; - TVD is normalized using 14 indicators including technical independence, technological advancement, application breadth, application prospect, and other relevant aspects; - SVD is normalized using 15 indicators such as patent defensive value, offensive value, and influence value; - MVD is normalized using 16 indicators covering patent implementation, licensing, pledge, transfer, and litigation outcomes; All the above indicators are quantitatively assessed via the Analytic Hierarchy Process (AHP) based on their respective influence weights, and a comprehensive score (out of 100) is obtained after consistency verification. For EVD: The patent valuation is calculated by integrating the remaining valid term of the patent and the licensing fees of patents in the relevant field from the "Statistical Table of Patent Implementation Licensing for National Economic Industries (Categories) during the 13th Five-Year Plan Period", then normalized through a rating scoring system, with a full score of 100. Finally, the overall Patent Value Dimension (PVD) is comprehensively computed using the formula: PVD = α×LVD + β×TVD + γ×EVD + δ×MVD + ε×SVD, where α, β, γ, δ, ε are weight coefficients that satisfy the constraint α+β+γ+δ+ε=1. 3. Data Application: Patents are classified into two categories based on their PVD scores: scores below 70, and scores equal to or above 70.
