低空经济产业专利导航基础数据集

数据采集规则：以 “低空飞行器、无人机、eVTOL、低空交通管理、低空通信” 为核心关键词，结合 B64C、G05D 等专利分类号，检索中、美、欧、日等10 个主要专利局的发明与实用新型专利；
数据处理规则：提取专利申请号、公开号、技术方案、法律状态等信息，统一申请人名称（如 “大疆创新” 统一简称）、技术参数格式，通过 **“申请号 + 核心技术” 组合去重 **，修正数据错误；
分类算法：采用 “关键词匹配 + 机器学习”，按 **“技术领域（动力 / 控制 / 通信）、产品类型（无人机 /eVTOL）、应用场景（物流 / 应急）”** 自动分类，分类准确率超 90%；
统计规则：自动统计各技术分支专利数量、申请人排名、地域分布，生成年度申请趋势图，支撑导航分析。

Data Collection Rules: Take "low-altitude aircraft, unmanned aerial vehicle (UAV), eVTOL, low-altitude traffic management, low-altitude communication" as core keywords, combine patent classification numbers such as B64C and G05D to retrieve invention and utility model patents from 10 major patent offices including China, the United States, the European Union and Japan; Data Processing Rules: Extract information such as patent application number, publication number, technical solution and legal status, unify applicant names (e.g., uniformly abbreviate "DJI Innovations") and technical parameter formats, perform deduplication via the combination of "application number + core technology", and correct data errors; Classification Algorithm: Adopt "keyword matching + machine learning" to automatically classify patents according to "technical field (power/control/communication), product type (unmanned aerial vehicle/eVTOL), application scenario (logistics/emergency response)", with a classification accuracy of over 90%; Statistical Rules: Automatically count the number of patents in each technical branch, applicant rankings and regional distribution, generate annual application trend charts, and support navigation analysis.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于低空经济全产业链的专利导航基础数据集，包含20000条专利记录并每周更新。它通过关键词匹配和机器学习算法，将专利按技术领域、产品类型和应用场景自动分类，准确率超90%，适用于产业规划、技术研发、知识产权运营和政策制定等核心场景。数据来源涵盖中、美、欧、日等10个主要专利局，经过统一名称和去重处理，为低空经济领域的技术创新和战略决策提供高质量支撑。