智能汽车技术融合趋势预测研究及其技术竞争情报启示—以长三角地区为例

Research on Trend Prediction of Intelligent Vehicle Technology Convergence and Implications for Competitive Technical Intelligence: A Case Study of the Yangtze River Delta Region

摘要:

技术融合是产业互联中提升生产制造环节技术创新水平和创新合作活力的重要方式。分析技术融合现状，预测未来的技术跨界融合趋势是技术竞争情报服务策略制定重要依据之一。文章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，分析了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，融合现象往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。

Abstract:

Technology convergence is an important way to enhance the level of technological innovation and the vitality of innovation cooperation in the production and manufacturing process in industrial interconnection. Analyzing the current situation of technology convergence and predicting the future trend of technology cross-border integration is one of the important bases for formulating competitive technical intelligence service strategies. The article comprehensively applies technology lifecycle theory, social network theory, and link prediction methods to analyze the development stages, current status, and trends of intelligent vehicles in the Yangtze River Delta region. Research has found that the intelligent vehicle industry in the Yangtze River Delta region is in a mature stage, with increasingly frequent and deepening cross domain technology integration, and the phenomenon of integration is shifting towards the field of intelligent high-end technology; G06V10/82 (neural network), G06K9/00 (image recognition), and H04W4/44 (V2C technology) have become the key objects of competitive technical intelligence. Based on this object, an intelligence service model can be established, which can guide outstanding enterprises, scientific research institutes, intelligence agencies, and intelligent vehicle manufacturers represented by G06V10/82, G06K9/00, and H04W4/44 to form innovative industry alliances in the form of cross-border cooperation, and promote the upgrading of the intelligent vehicle industry.