新能源汽车自动驾驶中Python在实时数据流处理与存储的实践研究

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关键词：新能源汽车；自动驾驶技术；Python语言；实时数据流处理；数据存储中图分类号：U469.7 收稿日期：2025-03-12 DOI：10.19999/j.cnki.1004-0226.2025.05.022

Research on Python Practice in Real-time Data Flow Processing and Storage in Autonomous Driving of New Energy Vehicles

Ge Shanxi institute of mechanical & electrical engineering，Changzhi O46ooo，China

Abstract：Tomeetthechallengesofthistechnologyinthereal-timedataflowprocessingandstoragelinks，ImprovethesystemefficiencyandstabilityAdoptacomprehensiveresearchandanalsisofvariousPythonframeworks，techicalsotiosandpacticeca es，Designedtealedatafprocingandrageseithtonolingteframeorkselectprogaatac quisitionandpreprocesinglink，storagearchitecturedesignandarrangementandothercontent，Practicehasproedthatthisseme caneffectivelyimprovethedataprocessingeciencyndstorageperformance，Strongsupportforutonomousdrivingdecsios，is resulthaspromotedtheupgradingofautonomousdrivingtechnologyfornewenergyvehicles，Inordertoachieveamoresafefcient andntellgentraeltieeialacinge，Iisofgeatsigcanetoitellentupadingofttomoileids try.

Keywords：Newenergyvehicles;Autonomousdriving technology;Pythonlanguage;Real-tiedataflowprocessng;Datastorage

1实时数据流处理与存储面临的挑战

1.1数据量与速度问题

新能源汽车在自动驾驶过程中，依赖各类传感器如红外传感器、摄像头及雷达生成大量实时数据，包括图像、点云及车辆状态信息等，这些数据处理需求极高。（剩余3675字）