摘要
为提高车辆驾驶的安全性,减少事故的发生以及人员、财产的损失,研发了一种基于4G/5G的车辆监测系统。通过STM32f407单片机驱动GPS定位器、气体酒精传感器等多种传感器,进行数据地采集,并通过串口转发到上层的Jetson Nano人工智能处理器、Jetson Nano驱动摄像头以及4G/5G模块,最后将数据上传到后台管理,对车辆进行实时监测。在误差允许的范围内,测试数据的准确率达到了80%,因此可运用此系统来提高车辆驾驶的安全性。
In order to improve the safety of vehicle driving,reduce the occurrence of accidents and loss of personnel and property,a vehicle monitoring system based on 4 G/5 G was developed.STM32 f407 was used to drive GPS positioner,gas alcohol sensor and other sensors to collect data,and forward to the upper layer of Jetson Nano artificial intelligence processor,Jetson Nano driver camera and 4 G/5 G module.Finally,the data was uploaded to the background management for real-time monitoring of vehicles.Within the range of error,the accuracy of the test data reaches 80%,so the system can be used to improve the safety of the vehicle driving.
作者
黄原有
阳韬
张杨志
Huang Yuanyou;Yang Tao;Zhang Yangzhi(Guangzhou College,South China University of Technology,Guangzhou 51080,China)
出处
《机电工程技术》
2021年第4期40-42,共3页
Mechanical & Electrical Engineering Technology
基金
华南理工大学广州学院大学生创新创业训练计划项目(编号:56JY200508)。
关键词
车辆安全
智能监控
模糊综合评价
数据分析
vehicle safety
intelligent monitoring
fuzzy comprehensive evaluation
data analysis
