浙江省企业智能电表及配用电系统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企业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企业专利数据变化情况，有助于了解浙江省企业在智能电表及配用电系统产业的知识产权工作成果；通过对各企业智能电表及配用电系统专利数据的对比，可了解各企业的技术创新能力、创新水平差异；了解相关产业的技术发展趋势，有助于企业避免重复研发，避免企业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（＜67分，67~70分，≥70分），实现专利价值分类。

This dataset mainly includes invention patent data and utility model patent data related to the smart meter and power distribution and utilization system industry applied by enterprises in Zhejiang Province from the patent database. Additionally, the patent data is evaluated and classified using a self-developed algorithm. It can be used to horizontally and vertically understand the changes in patent data of enterprises in the smart meter and power distribution and utilization system industry in Zhejiang Province, and helps to understand the intellectual property achievements of Zhejiang enterprises in this industry. By comparing the patent data of each enterprise in this field, the differences in technological innovation capabilities and innovation levels among enterprises can be identified. Additionally, understanding the technological development trends of the relevant industry can help enterprises avoid redundant R&D and prevent their developed technologies from infringing on others' intellectual property rights.
1. Data Collection: Patents in the target field are collected via retrieval websites.
2. Data Processing: Based on patent bibliographic information, five patent value indicators are established respectively: Technical Value Degree (TVD), Legal Value Degree (LVD), Market Value Degree (MVD), Strategic Value Degree (SVD), and Economic Value Degree (EVD). Specifically:
- LVD is normalized based on 17 indicators covering geographical scope, rights protection, time protection range, legal stability and other aspects;
- TVD is normalized based on 14 indicators including technical independence, advancement, application breadth, application prospects and other aspects;
- SVD is normalized based on 15 indicators such as patent defensive value, offensive value, influence value and other aspects;
- MVD is normalized based on 16 indicators including patent implementation, licensing, pledge, transfer, litigation results and other aspects;
For the above indicators, quantitative evaluation is carried out using the Analytic Hierarchy Process (AHP) according to the influence of each indicator, and a comprehensive score out of 100 is obtained after consistency test.
For EVD, patent valuation is calculated based on the remaining validity period of the patent and the patent implementation licensing fees of the corresponding field in the Statistical Table of Patent Implementation Licensing for National Economic Industries (Categories) during the 13th Five-Year Plan Period, and then normalized using the grade scoring system, with a full score of 100.
Finally, the Patent Value Degree (PVD) is comprehensively calculated using the formula: PVD = α×LVD + β×TVD + γ×EVD + δ×MVD + ε×SVD, where α, β, γ, δ, ε are weights satisfying α+β+γ+δ+ε=1.
3. Data Application: Patent value classification is realized based on the PVD score, with three categories: <67 points, 67-70 points, and ≥70 points.

搜集汇总

数据集介绍

特点

该数据集包含591条浙江省企业智能电表及配用电系统产业的专利数据，通过算法评估了专利的多维度价值，适用于分析企业技术创新能力和产业技术发展趋势。