浙江省科研单位中低压电力边缘智能关键技术专利价值评估分析数据

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中低压电力边缘智能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、纵向了解浙江省中低压电力边缘智能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中低压电力边缘智能产业的知识产权工作成果；通过对各科研单位中低压电力边缘智能关键技术专利数据的对比，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。

This dataset primarily includes invention patent data and utility model patent data related to the medium- and low-voltage power edge intelligence industry, applied by research institutions in Zhejiang Province, sourced from patent databases. We evaluate and classify these patent data using our proprietary algorithm. This dataset supports horizontal and longitudinal analysis of the changes in patent data across various research institutions in Zhejiang's medium- and low-voltage power edge intelligence industry, helping to understand the intellectual property work achievements of local research institutions in this industry. By comparing the patent data of key technologies in the medium- and low-voltage power edge intelligence industry among different research institutions, one can grasp their technological innovation capabilities and differences in innovation levels. Additionally, understanding the technological development trends of the relevant industry helps research institutions avoid redundant R&D and prevent the technologies they develop from infringing others' intellectual property rights.

1. Data Collection: Patent data in the target field is collected via specialized retrieval websites.

2. Data Processing:
First, five patent value indicators are constructed based on patent bibliographic information: Technical Value (TVD), Legal Value (LVD), Market Value (MVD), Strategic Value (SVD), and Economic Value (EVD).
- LVD is normalized based on 17 indicators covering regional coverage, rights scope, time protection range, legal stability, and other relevant aspects;
- TVD is normalized based on 14 indicators including technical independence, technological advancement, application breadth, application prospect, and other relevant aspects;
- SVD is normalized based on 15 indicators such as patent defensive value, offensive value, and influence value;
- MVD is normalized based on 16 indicators including patent implementation, licensing, pledge, transfer, litigation outcomes, and other relevant aspects;
All the above indicators are quantitatively evaluated using the Analytic Hierarchy Process (AHP) based on their respective influence weights, and a comprehensive score is obtained after consistency testing, with a full score of 100.
For EVD, the patent valuation is calculated based on two factors: the remaining valid period of the patent, and the patent implementation licensing fee of the corresponding industry category extracted from the "Statistical Table of Patent Implementation Licensing for National Economic Industries (Categories) during the 13th Five-Year Plan Period". The EVD values are then normalized using a grade scoring system, with a full score of 100.
Finally, the overall Patent Value (PVD) is comprehensively calculated using the formula: $PVD = alpha imes LVD + eta imes TVD + gamma imes EVD + delta imes MVD + varepsilon imes SVD$, where $alpha, eta, gamma, delta, varepsilon$ are weight coefficients satisfying $alpha + eta + gamma + delta + varepsilon = 1$.

3. Data Application: Patents are classified into two categories based on their PVD scores: scores below 70, and scores equal to or greater than 70.