底盘车专利数据

数据包中主要包括了全球专利数据库中有关底盘车的发明和实用新型专利数据，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、纵向了解底盘车的专利数据变化情况，有助于了解底盘车的知识产权工作成果: 通过对各企业/个人底盘车专利数据的对比，可了解各企业/个人的技术创新能力.创新水平差异，了解底盘车的技术发展超势，有助于企业避免重研发，避免企业开发的技术侵犯他人的知识产权。本数据基于熵权法的 AHP 模型，目标层为综合价值，指标层将综合价值指标体系分为技术、战略、经济三大价值维度，指标层向下分准则层，包括: 技术价值:被引证数、IPC小类数、权项数、存活期；经济价值:剩余有效期、转让次数、许可次数、质押次数；战略价值：同族数、布局国家/地域数。根据维度和指标建立三个维度的原始矩阵和专利评价准则求得相应权重，计算各个维度的单项值，将各个维度的值相加后获得综合价值，用lookup函数判断单个综合价值所在数值区间，用于区分高价值专利、一般价值专利和低价值专利（综合价值≥25的为高价值专利；15＞综合价值，的为低价值专利；25＞综合价值≥15的为一般价值专利），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。 数据来源：全球专利数据库，通过关键字和ipc分类筛选目标专利。 高价值专利评定参考依据：《高价值专利评价方法》T/ISC 0030-2023。

The data package mainly includes invention and utility model patent data related to chassis vehicles from the global patent database. The patent data has been evaluated and classified using a self-developed algorithm, which allows for horizontal and longitudinal analysis of the changes in chassis vehicle patent data, and facilitates understanding of the intellectual property work achievements in this field. By comparing the chassis vehicle patent data of different enterprises and individuals, users can grasp the technological innovation capabilities and gaps in innovation levels among various entities, as well as the technological development trends of chassis vehicles. This helps enterprises avoid redundant R&D and prevent the technologies they develop from infringing others' intellectual property rights.
This dataset is based on the AHP model integrated with the entropy weight method. The target layer is the comprehensive value, and the indicator layer divides the comprehensive value index system into three value dimensions: technology, strategy and economy. The indicator layer is further broken down into criterion layers as follows:
- Technical value: number of citations, number of IPC subclasses, number of claims, and survival period;
- Economic value: remaining validity period, number of transfers, number of licenses, and number of pledges;
- Strategic value: number of patent families, and number of layout countries/regions.
Based on the dimensions and indicators, we establish the original matrix for the three dimensions and the patent evaluation criteria, calculate the corresponding weights, compute the individual value of each dimension, sum the values of all dimensions to obtain the comprehensive patent value. Then, the LOOKUP function is used to determine the numerical interval of a single comprehensive value, so as to classify patents into high-value, general-value and low-value patents: high-value patents refer to those with comprehensive value ≥25; low-value patents refer to those with comprehensive value <15; general-value patents refer to those with 15 ≤ comprehensive value <25. This provides R&D decision-making basis and priority reference for technical avoidance for technicians in this field.
Data source: Global Patent Database, where target patents are screened via keywords and IPC classification.
The evaluation reference for high-value patents is the "High-Value Patent Evaluation Method" T/ISC 0030-2023.

搜集汇总

背景与挑战

背景概述

该数据集汇集了全球底盘车相关的发明和实用新型专利，采用基于熵权法的AHP模型，从技术、战略和经济三个维度对专利进行综合评价，并划分高价值、一般价值和低价值等级。它旨在帮助用户分析底盘车领域的技术创新能力、发展趋势，并为研发决策和知识产权规避提供参考依据。