基于大数据分析的车辆安全检测系统研究

为了检测车辆实时状态和预防交通事故,应采取相应的措施减小交通事故的危害.该文通过物联网与大数据技术,利用Arduino+传感器实现数据整理和采集、MQTT协议+中国移动OneNET云平台消息服务、后端数据处理与感知数据库以及前端实时可视化等技术,对大数据进行数据的清洗及多维度归类,从而达到集预警、报警、分析为一体的服务框架,实现自动预警并发送至用户.

The Data Flow Model of Vehicle Safety Based on Big Data Analysis

In order to detect the real-time status of vehicles and prevent traffic accidents,the corresponding measures are taken to reduce the harm of traffic accidents.Through the Internet of things and big data technology,the Arduino+sensor is used to realize data sorting and collection,MQTT protocol+China Mobile onenet cloud platform message service,back-end data processing and perception database and front-end real-time visualization,and the big data is used for data cleaning and multi-dimensional classification,so as to achieve a service framework integrating early warning,alarm and analysis,and realize automatic early warning and concurrent to users.