面向智能城市的电动汽车多维度监测系统的设计

Design of Multi-dimensional Monitoring System of Electric Vehicle for Intelligent City

针对交通物联网化趋势和信息技术的发展,提出了面向智能城市的电动汽车多维度监测系统。以电动汽车为载体,监测装置实时采集电动汽车的地理位置(室外GPS+室内定位)、碰撞信息、电池电量、电池温度以及车内温度等信息,在STM32F103嵌入式平台进行处理,通过GPRS通信模块与服务器进行数据交换,服务器可对数据进行处理生成直观的曲线图,并与手机APP端通信,方便交通参与者获知电动汽车的相关信息。另外,通过采集大量电动汽车数据,利用蒙特卡洛算法、神经网络算法和粒子群算法可以进行规模化电动汽车充电行为模拟,实现对数据进行分析利用的目的,实现交通参与者与电动汽车的远程交互。本系统基于物联网将交通所涉及的元素进行智能化,助力实现数字化转型,改善人们的生活。

Aiming at the trend of Internet of things and the development of information technology,a multidimensional monitoring system of electric vehicles for intelligent city is proposed.Taking the electric vehicle as the carrier,the monitoring device collects the geographic location(outdoor GPS+indoor location),collision information,battery power,battery temperature and vehicle temperature and other information of the electric vehicle in real time.It is processed on the embedded platform of STM32F103,and the data is exchanged with the server through GPRS communication module.The server can process the data to generate an intuitive curve chart,and communicate with the app end of the mobile phone,so as to facilitate the traffic participants to get the relevant information of the electric vehicle.In addition,through collecting a large number of electric vehicle data,using Monte Carlo algorithm,neural network algorithm and particle swarm optimization algorithm can carry out large-scale electric vehicle charging behavior simulation,achieve the purpose of data analysis and utilization,and realize the remote interaction between traffic participants and electric vehicles.Based on the Internet of things,the system intelligentizes the elements involved in transportation,helps to realize digital transformation and improve people’s lives.