摘要
本文综述在物联网技术支撑下智能汽车动态信息管理系统的研究现状与发展趋势,围绕感知层、网络层、平台层及应用服务层的四级技术架构,系统梳理多传感器融合、车联网通信、云边端协同等核心技术的应用进展与性能特征。通过分析各层级技术的协同机制与现存问题,明确当前系统在集成兼容性、能耗控制、安全防护等方面的主要瓶颈。研究指出,智能化感知、标准化互联、协同化调度及安全化管控是未来核心发展方向,跨层优化与多技术融合将成为推动系统迭代升级及产业生态完善的关键路径,为相关技术研发与工程应用提供参考。
This paper reviews the research status and development trends of intelligent vehicle dynamic information management systems supported by Internet of Things(IoT)technology.It systematically sorts out the application progress and performance characteristics of core technologies such as multi-sensor fusion,vehicle networking communication,and cloud-edge-device collaboration around the four-level technical architecture of perception layer,network layer,platform layer,and application service layer.By analyzing the collaborative mechanisms and existing problems of technologies at all levels,the main bottlenecks of the current system in terms of integration compatibility,energy consumption control,and security protection are identified.Research indicates that intelligent perception,standardized interconnection,collaborative scheduling and secure control are the core development directions for the future.Cross-layer optimization and multi-technology integration will become the key paths to promote system iteration and upgrading as well as the improvement of the industrial ecosystem,providing references for related technology research and development and engineering applications.
作者
朱真真
高天飞
Zhu Zhenzhen;Gao Tianfei(Shangqiu Institute of Technology,Shangqiu 476000,China)
出处
《汽车电器》
2026年第2期49-51,共3页
Auto Electric Parts
基金
2025年度河南省高校人文社会科学研究一般项目“教育数字化转型下基于知识图谱的教学模式构建与应用研究”(项目编号:2025-ZZJH-083)的阶段性成果。
关键词
智能汽车
动态信息管理
物联网
车联网
intelligent vehicles
dynamic information management
IoT
Intervent of Vehicles
