摘要
以道路环境为研究对象,提供了一整套软硬件结合的道路环境监测预警系统解决方案,通过不同类型道路环境参数的传感采集设备的设置,实时采集、传输、处理、分析监测数据,在传统传感设备基础上增加了基于机器视觉的AI图像识别技术,进行了多种道路信息融合,根据建立的预警模型提供分层级的智能预警,并可以通过智能预警平台实时输出相关数据及预警信息。通过总体规划设计,系统具有良好的扩展性与复用性,具有较高的效率与实用性。
Taking the pavement environment as the research object,this paper provides a complete set of pavement environment monitoring and early warning system solution combined with software and hardware,which collects,transmits,processes and analyzes the monitoring data in real time.The artificial intelligence image recognition technology based on machine vision is added on the basis of traditional sensing equipment as well.A variety of road information fusion is carried out.It also provides hierarchical early warning according to the established early warning model.And relevant data and early warning information can be checked on browser in real time through the intelligent early warning platform.Through planning and design,the system is endowed with good expansibility and reusability,high efficiency and practicability.
作者
周玉甲
郭利伟
李华章
ZHOU Yujia;GUO Liwei;LI Huazhang(School of Mechanical and Electrical Engineering,Hunan Communication Engineering Polytechnic,Changsha 410132,China;Hunan Yangma Information Co.,Ltd.,Changsha 410205,China)
出处
《常州大学学报（自然科学版）》
CAS
2022年第4期82-92,共11页
Journal of Changzhou University：Natural Science Edition
基金
湖南省交通运输厅科技进步与创新计划资助项目(201921)。
关键词
传感器
道路环境
监测平台
智能预警
sensor
pavement environment
monitoring platform
intelligent warning
