新能源汽车产业开源科技情报多维视角分析

Multidimensional Analysis of Open-Source Technological Intelligence in the New Energy Vehicle Industry

【目的/意义】在全球新兴科技革命和产业变革背景下,本研究聚焦新能源汽车产业,采用多维视角分析开源科技情报,旨在揭示产业的关键技术和发展趋势。【方法/过程】研究采集了专利数据、社交媒介文本和政策文本;利用专利数据构建引证网络并识别主路径,结合生命周期理论系统分析新能源汽车产业关键性技术与发展脉络;使用支持向量机分类模型训练社交文本分类模型,借助时序分析观察用户关注的行业话题变化趋势,探究公众对新能源汽车的态度和观点;使用LDA分阶段对政策文本进行主题抽取,揭示政策对产业发展的影响。【结果/结论】通过多维对比分析,将企业、政府和用户三方利益主体在新能源汽车产业发展中的互动所产生的影响归纳为四类:市场规模扩大、技术升级迭代、基础设施建设和行业监管规范,为新能源汽车补贴政策退坡后的产业发展路径提供借鉴和思考。【创新/局限】研究在数据来源的选择中不够全面,深度和广度还不足。

【Purpose/significance】 Against the backdrop of the global emerging technology revolution and industrial transformation,this study focuses on the new energy vehicle industry.It employs a multi-dimensional perspective to analyze open-source technological intelligence,aiming to reveal the industry's key technologies and development trends.【Method/process】 The research collected patent data,social media texts,and policy documents.It utilized patent data to construct citation networks and identify primary pathways,systematically analyzing the key technologies and development trajectory of the new energy vehicle industry in conjunction with lifecycle theory.The study trained social text classification models using Support Vector Machine classifiers and employed time-series analysis to observe the trends in industry topics that users focus on,exploring public attitudes and opinions towards new energy vehicles.It also used LDA to conduct phased topic extraction from policy texts,revealing the impact of policies on industry development.【Result/conclusion】 Through multi-dimensional comparative analysis,the study categorized the impacts of interactions among enterprises,government,and users in the development of the new energy vehicle industry into four types:expansion of market size,iterative technological upgrades,infrastructure construction,and industry regulation norms.This provides references and insights for the development path of the industry following the reduction of new energy vehicle subsidies.【Innovation/limitation】 The research was not comprehensive enough in the selection of data sources,lacking in depth and breadth.