智能汽车技术融合趋势预测及其技术竞争情报启示——以长三角地区为例  

Prediction of the Trend of Intelligent Vehicle Technology Integration and Its Inspiration forTechnological Competitive Intelligence : Taking the Yangtze River Delta Region as an Example

作　　者：何建佳[1] 廖耀文 吴晓伟[2] He Jianjia;Liao Yaowen;Wu Xiaowei(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai Business School,Shanghai 201400,China)

机构地区：[1]上海理工大学管理学院,上海200093 [2]上海商学院,上海201400

出　　处：《科技管理研究》2023年第23期233-240,共8页Science and Technology Management Research

基　　金：国家自然科学基金面上项目“产业互联“智造”供需网的结构、演化及其动力学研究”(71871144)项目来源:上海理工大学科技发展项目目“基于供需网的产业互联‘智造’协同方法及其合作优化研究”(2020KJFZ046)。

摘　　要：综合运用技术生命周期理论、社会网络理论和链路预测方法,分析长三角地区智能汽车发展阶段、技术融合现状和技术融合趋势。研究发现长三角地区智能汽车产业正处于成熟期阶段,技术跨领域融合日益频繁且程度逐渐加深,融合现象向智能高端技术领域转移;G06V10/82(神经网络)、G06K9/00(图像识别)、H04W4/44(V2C技术)成为技术竞争情报重点关注对象,以该对象为依据建立情报服务模式,可引导以G06V10/82、G06K9/00、H04W4/44为技术代表的优秀企业、科研院所、情报机构、智能汽车生产厂商形成跨界合作形式的创新产业联盟,推进智能汽车产业升级。This paper comprehensively uses technology life cycle theory,social network theory and link prediction methods to analyze the development stages,technology integration status and technology integration trends of intelligent vehicles in the Yangtze River Delta region.The study found that the intelligent vehicle industry in the Yangtze River Delta region is in a mature stage.Cross-field technology integration is becoming increasingly frequent and deepening,and the integration phenomenon is shifting to the field of intelligent high-end technology;G06V10/82(neural network),G06K9/00(image recognition),and H04W4/44(V2C technology)have become the focus of technological competitive intelligence;the establishment of an intelligence service model based on the above can guide outstanding enterprises,scientific research institutes,intelligence agencies,and intelligent vehicle manufacturers represented by G06V10/82,G06K9/00,and H04W4/44 to form an innovative industry alliance in the form of crossborder cooperation,so as to promote the upgrading of the intelligent vehicle industry.

关 键 词：智能汽车 技术融合 技术竞争情报 产业互联 

分 类 号：F426[经济管理—产业经济] G301[文化科学]