融合定位系统专利数据

通过收集融合定位系统领域专利申请人、法律状态、技术主题分类、简单同族成员数量等数据，形成了主要包括全球专利数据库中与融合定位系统相关的发明专利和实用新型专利数据，在结果中筛选关键词融合定位系统，找出融合定位系统方向专利数据，并根据自有算法对专利数据进行了评价和分类，可用于了解融合定位系统专利数据变化情况，有助于了解融合定位系统知识产权工作成果；通过对各企业/个人融合定位系统专利数据的对比，可了解各企业/个人的技术创新能力、创新水平差异；了解融合定位系统的技术发展趋势，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数据来源：全球专利数据库中融合定位系统相关发明专利、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，检索出有关于融合定位系统的专利，指标层向下分准则层，包括：技术价值：IPC分类数量、被引用专利数量、授权年限；经济价值：剩余年数、质押次数；法律价值：权利要求数、文献页数；战略价值：发明人数量、简单同族成员数量；市场价值：技术主题分类数、专利类型、是否战略新兴产业。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。采用综合分值法：战略价值≥50分及以上、经济价值≥20分及以上、市场价值≥50分及以上、法律价值≥60分及以上、技术价值≥30分及以上为A，战略价值40-50分（不含50分）、经济价值≥20分及以上、市场价值≥30分及以上、法律价值≥70分及以上、技术价值≥30分及以上为B，其余为C。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。

By collecting data such as patent applicants, legal statuses, technical subject classifications, and the number of simple patent family members in the field of integrated positioning systems, this dataset primarily covers invention patents and utility model patents related to integrated positioning systems from the global patent database. After extracting patent data in the integrated positioning system direction by screening the keyword "integrated positioning system" from the retrieved results, the dataset evaluates and classifies the patent data using a self-developed algorithm. This dataset can be used to track changes in patent data related to integrated positioning systems and help understand the outcomes of intellectual property work in the integrated positioning system field; By comparing the patent data of integrated positioning systems from different enterprises or individuals, it enables insights into the technological innovation capabilities and differences in innovation levels among various entities; Additionally, understanding the technological development trends of integrated positioning systems helps enterprises avoid redundant R&D and prevents the technologies developed by them from infringing others' intellectual property rights.

1. Data Source: Patent data of invention patents and utility model patents related to integrated positioning systems from the global patent database.

2. Data Collection: The target layer of this dataset is patent technical relevance. The indicator layer divides the patent technical relevance indicator system into five value dimensions: market, technology, law, strategy, and economy. When retrieving patents related to integrated positioning systems, the indicator layer is further decomposed into criterion layers, which are specified as follows: Technical value: Number of IPC classifications, number of cited patents, authorization years; Economic value: Remaining valid years, number of pledge instances; Legal value: Number of claims, number of document pages; Strategic value: Number of inventors, number of simple patent family members; Market value: Number of technical subject classifications, patent types, whether it belongs to strategic emerging industries.

3. Data Analysis: This dataset is based on the Analytic Hierarchy Process (AHP), adopting a combination of quantitative and qualitative methods. The technical relevance is divided into three levels from high to low: A, B, and C, where A represents high relevance, B represents general relevance, and C represents relatively low relevance. The comprehensive scoring criteria are as follows: Class A is defined as strategic value ≥ 50 points, economic value ≥ 20 points, market value ≥ 50 points, legal value ≥ 60 points, and technical value ≥ 30 points; Class B is defined as strategic value ranging from 40 to 50 points (excluding 50), economic value ≥ 20 points, market value ≥ 30 points, legal value ≥ 70 points, and technical value ≥ 30 points; All remaining cases are classified as Class C.

4. Data Application: It provides R&D decision-making basis and priority reference for technology avoidance for technical personnel in this field.

搜集汇总

数据集介绍

特点

该数据集包含151条融合定位系统相关的专利数据，涵盖专利的多种属性和价值评估，适用于技术创新能力分析和趋势研究。数据每年更新，采用AHP层次法进行技术关联性分类，为研发决策提供依据。