关键词: 汽车远程升级；海量数据；深度挖掘；数据管理系统；数据挖掘

Abstract: In the context of software-defined vehicle, over-the-air (OTA) update has become an extremely important way for the intelligent connected vehicle technology improvement, performance services improvement and software sales ecosystem build. Based on mass vehicles over-the-air (OTA) update will generate tens of millions of vehicle data. With deep data mining of vehicle data generated by over-the-air update and big data governance and analysis, it will contribute to guide and optimize the design scheme and update strategy of vehicle over-the-air update. Meanwhile, the digital management level of enterprises can be improved. This paper constructed the data system of vehicle over-the-air update, realized the granular analysis and management of key technical parameters data and carries out the process risk warning. The development structure based on the big data development model of data mining technology and Hadoop open source platform.From the system application, the developed system can effectively improve the level of analysis, storage and intelligent deep analysis of massive data generated by OTA update. Meanwhile, it can contribute to monitor and trace the vehicle change during the whole over-the-air process. Furthermore, it will promote the closed-loop management of OTA update.

Key words: Vehicle over-the-air update; Big data; Deep mining; Data management system; Data mining