摘要
针对近年来高速公路上由于团雾等低能见度气象而不断攀升的连环追尾事故率,设计了一种高速公路团雾气象信息采集自动控制系统。该系统以STM32微处理器作为主控制中心,选用STLM20W87F模拟温度传感器、SHT15湿度传感器、PO188光照传感器以及EC-8SX非电流型一体化风速风向传感器作为数据采集器件,以可变信息情报板作为执行显示机构。通过建立无线信息通信网络,将分布在高速公路沿线的传感器互联,实现采集数据汇总至主控制中心。通过对采集数据进行分析处理,并结合北斗卫星定位技术,将可能产生团雾的路段信息发送至可变信息情报板显示,达到团雾预警的目的。该系统实现了团雾信息采集预警与北斗定位的结合,能准确定位团雾发生地点、实时显示预警结果,满足多种低能见度天气中的环境要求,对当前高速公路团雾预警具有借鉴和实用价值。
In view of the low visibility weather on the highway in recent years due to cluster fog,the chain accident rate is increasingly rising;an automatic control system for collecting meteorological information of highway cluster fog is designed.The STM32 microprocessor is used as the main control center,and STLM20W87F analog temperature sensor,SHT15 humidity sensor,PO188 light sensor and EC-8SX non-current type integrated wind speed and direction sensor are selected as data acquisition devices,and the variable information board is used as execution display mechanism.Through establishing the wireless information communication network,the sensors distributed along the highway,combining with Beidou satellite positioning technology,the sectional road information which may produce cluster fog is sent to the variable information board to display,so as to achieve the purpose of fog early warning.The system realizes the combination of information collection and early warning of cluster fog and Beidou positioning technology,accurately locates the position of cluster fog and displays the early warning in real time.It meets the environmental requirements in a variety of low-visibility weather,it has reference and practical value for the current highway cluster fog warning.
作者
周步伟
杨云
殷彬
胡松
汪祺瑞
ZHOU Buwei;YANG Yun;YIN Bin;HU Song;WANG Qirui(School of Electrical and Automation Engineering,East China Jiaotong University,Nanchang 330013,China)
出处
《自动化仪表》
CAS
2019年第2期44-47,共4页
Process Automation Instrumentation
基金
教育部2018年国家级大学生创新创业训练计划基金资助项目(20181040403)
关键词
团雾预警
高速公路
气象信息采集
通信网络
STM32微处理器
Cluster fog warning
Highway
Meteorological information collection
Communication network
STM32 microprocessor