用于园区车辆预警系统的物联网框架研究

RESEARCH ON THE FRAMEWORK OF INTERNET OF THINGS FOR CAMPUS VEHICLES' EARLY WARNING SYSTEM

物联网在园区车辆管理系统中的应用目前还停留在"凭证"的阶段,这类系统存在安全和效率等方面的缺陷。基于不间断服务通信网络技术,提出一种用于园区车辆预警系统的物联网框架,该框架核心部分包括一个能在第一时间检测到车辆非法移动的预警模型和一个能实现多层次组网的物联网信息终端。经运行验证,该框架可以实现园区车辆的安全预警和全自动化日常管理功能,在提高车辆安全性和出入效率的同时,大幅度降低管理成本。

The application of IoT in campus vehicles＇ early warning system is still remaining on the stage of ＂vouchers＂,but such systems have defection in safety and efficiency.We propose a framework of IoT for campus vehicles＇ early warning system based on uninterrupted service communication networks technology.The core of the framework includes two parts,the early warning model which can detect illegal moving of the vehicles in first time,and the IoT information terminal which can realise multi-level networking.By the confirmatory runs,we verify that the framework can achieve the functions of safety early warning and daily automatic management for campus vehicles.While improving the safety of vehicles in custody and the efficiency of car entry and exit,the management cost is greatly cut down as well.