企业玻璃纤维及制备方法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中国国内企业申请的玻璃纤维行业的发明专利数据、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、纵向了解中国玻璃纤维行业各企业专利数据变化情况，有助于了解中国企业在玻璃纤维行业的知识产权工作成果；通过对各企业玻璃纤维专利数据的对比，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），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。最后，采用公式PVD＝α×LVD＋β×TVD+δ×MVD+ε×SVD，α，β，δ，ε是权重，且α＋β+δ+ε＝１，综合计算专利价值（PVD）。3.数据应用：以PVD得分（＜70分，一般；≥70分，较高），实现专利价值分类。

The dataset mainly includes invention patent data and utility model patent data related to the glass fiber industry applied by domestic Chinese enterprises from the patent database. It evaluates and classifies the patent data using a self-developed algorithm, which can be used to gain horizontal and vertical insights into the changes in patent data of enterprises in China's glass fiber industry, and helps to understand the intellectual property work achievements of Chinese enterprises in this industry. By comparing the glass fiber patent data of various enterprises, the differences in their technological innovation capabilities and innovation levels can be identified; understanding the technological development trends of the relevant industry also helps enterprises avoid redundant R&D and the risk of infringing others' intellectual property rights with their developed technologies.

1. Data Collection: Collect patents in the glass fiber industry via retrieval websites.

2. Data Processing: Based on patent bibliographic information, four patent value dimensions are established respectively: Technical Value Dimension (TVD), Legal Value Dimension (LVD), Market Value Dimension (MVD), and Strategic Value Dimension (SVD). LVD is normalized based on 17 indicators covering geographical coverage, rights scope, time protection range, legal stability and other aspects; TVD is normalized based on 14 indicators including technological independence, advancement level, application breadth, application prospect and other aspects; SVD is normalized based on 15 indicators such as patent defensive value, offensive value, influence value and others; MVD is normalized based on 16 indicators including patent enforcement, licensing, pledge, transfer, litigation outcome and other aspects. All the above indicators are quantitatively evaluated using the Analytic Hierarchy Process (AHP) based on their respective influence weights, and a comprehensive score out of 100 is obtained after consistency check. Finally, the Patent Value Dimension (PVD) is calculated comprehensively using the formula PVD = α×LVD + β×TVD + δ×MVD + ε×SVD, where α, β, δ, ε are weight coefficients satisfying α + β + δ + ε = 1.

3. Data Application: Classify patent values based on PVD scores: scores below 70 points are rated as "General", while scores ≥70 points are rated as "High".

搜集汇总

数据集介绍

特点

该数据集包含1183条中国国内企业申请的玻璃纤维行业专利数据，通过自有算法评估专利的技术、法律、市场和战略价值，并综合计算专利价值，适用于了解行业技术创新能力、技术发展趋势及知识产权工作成果。