座椅专利价值数据

根据自定规则对座椅专利数据进行检索分析，了解座椅专利情况，有助于座椅成果转化，也有利于了解座椅技术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。1.数据来源：全球专利数据库中座椅相关发明专利、实用新型专利数据。2.数据采集：本数据目标层为专利技术相关性，指标层将专利技术相关性指标体系分为市场、技术、法律、战略、经济五大价值维度，二类加分项目：权利要求条数和文献页数数量，检索出有关于座椅的专利，指标层向下分准则层，包括：技术价值：被引用专利数量；经济价值：授权日期；法律价值：权利要求数、文献页数；战略价值：简单同族专利申请数量；市场价值：技术领域。3.数据分析：本数据基于AHP层次法，采用定量与定性相结合，将技术关联性综合平均系数（P）按从高到低分为（A、B、C），A为高关联性、B为一般关联性、C为较低关联性。技术关联性综合平均系数（P）=( 市场价值、技术价值、法律价值、战略价值、经济价值)/5+（文献页数/3）+（权利要求数/2）+(被引用专利数量*10)，一个被引用专利数量为10分，采用比较集合法：P≤20的为C,20＜P≤40为B,P＞40为A，最后四舍五入取整。4.数据应用：为本领域技术人员提供研发决策依据和技术规避作优先参考。

Retrieve and analyze seat-related patent data according to custom-defined rules. Gaining insights into the seat patent landscape helps promote the commercialization of seat-related research achievements, grasp the development trends and core technologies in the seat technology field, and enable enterprises to avoid redundant R&D and intellectual property infringement.
1. Data Source: Invention patents and utility model patents related to seats from the global patent database.
2. Data Collection: The target layer of this dataset is patent technology relevance. The indicator layer divides the patent technology relevance index system into five value dimensions: market, technology, law, strategy and economy, plus two secondary bonus items: the number of claims and the number of document pages. For the retrieved seat-related patents, the indicator layer is further decomposed into a criterion layer, which includes:
- Technical Value: Number of cited patents;
- Economic Value: Grant date;
- Legal Value: Number of claims, number of document pages;
- Strategic Value: Number of simple family patent applications;
- Market Value: Technical field.
3. Data Analysis: This dataset adopts the AHP (Analytic Hierarchy Process) method, combining quantitative and qualitative analysis. The comprehensive average coefficient of technical relevance (P) is divided into three levels (A, B, C) in descending order, where A stands for high relevance, B for general relevance, and C for relatively low relevance.
The formula for the comprehensive average coefficient of technical relevance (P) is:
P = (Market Value + Technical Value + Legal Value + Strategic Value + Economic Value)/5 + (Number of Document Pages /3) + (Number of Claims /2) + (Number of Cited Patents *10)
Each cited patent counts as 10 points. Using the comparative classification method: patents with P ≤20 are categorized as C, 20 < P ≤40 as B, and P >40 as A. Finally, round the result to the nearest integer.
4. Data Application: Provide priority references for R&D decision-making and technology avoidance for technical personnel in this field.

搜集汇总

数据集介绍

特点

座椅专利价值数据集包含101条座椅相关专利信息，涵盖五大价值维度的评分，采用AHP层次法进行数据分析，适用于座椅专利的检索分析和技术发展趋势研究。