空调机专利价值数据

根据自定规则对空调机专利数据进行检索分析，了解空调机专利情况，有助于空调机成果转化，也有利于了解空调机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：全球专利数据库中空调机相关发明专利、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，检索出有关于空调机的专利，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

Retrieval and analysis of air conditioner patent data are conducted based on customized rules. Gaining insights into the air conditioner patent landscape facilitates the commercialization of air conditioner-related research outcomes, enables a better understanding of technological development trends and core technologies in this field, and assists enterprises in avoiding redundant R&D activities and intellectual property infringements.
1. Data Source: Data of invention patents and utility model patents related to air conditioners 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 patent claims and the number of document pages. For the retrieved air conditioner-related patents, the indicator layer is further decomposed into criterion layers, which are specified as follows:
- Technological Value: Number of cited patents
- Economic Value: Authorization 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 Analytic Hierarchy Process (AHP), combining quantitative and qualitative analysis. The comprehensive average coefficient of technological relevance (P) is divided into three categories (A, B, C) in descending order, where A represents high relevance, B represents general relevance, and C represents low relevance. The comprehensive average coefficient of technological relevance (P) is calculated as: P = (Market Value + Technological 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 grouping standard: patents with P ≤ 20 are classified as Category C, 20 < P ≤ 40 as Category B, and P > 40 as Category A, with the final result rounded to an integer.
4. Data Application: This dataset provides decision-making basis for R&D and priority reference for technical infringement avoidance for technical personnel in this field.

搜集汇总

数据集介绍

特点

空调机专利价值数据集包含101条记录，每日更新，涵盖五大价值维度，并通过AHP层次法分析专利技术相关性，适用于空调机技术研发和知识产权管理。