基于云计算的公路团雾检测与预警系统设计
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摘要
针对团雾监测系统研发和建设中存在的硬件成本过高、监测数据分散、信息共享不便捷以及数据安全性差等问题,设计了基于云计算的公路团雾检测与预警系统。首先,构建了包含感知层、网络层、应用层的系统框架,实现了团雾数据安全传输、团雾信息检测、预警信息显示、历史数据管理以及设备状态监测等主要功能。其次,利用VPN加密通道技术连接本地数据中心和云上业务以实现混合云,为系统提供更加安全可靠的服务。最后,规划不同团雾数据在云端存储、迁移和备份的方式,从而合理使用云存储空间,节约存储成本。实验测试结果表明,该系统运行稳定,能够为用户提供低成本、易扩展、高精准以及安全稳定的团雾检测与预警服务。
At present,there are some problems in the development and construction of agglomerate fog detection system,such as excessive hardware cost,scattered monitoring data,inconvenient information sharing,poor data security and so on.Therefore,a highway agglomerate fog detection and pre-warning system based on Cloud Computing was proposed.Firstly,the system framework,including perception layer,network layer and application layer,was constructed.The main functions were realized,such as data transmission,information monitoring,display of warning information,data administration,equipment condition monitoring and so on.Then,local data center and Cloud Service were connected by Virtual Private Network to implement the hybrid cloud networking,which provides a more secure and reliable service for the system.Finally,the storage,migration and backup of various agglomerate fog data were programmed to rationally use the space of cloud storage.The results show that the system can provide a low-cost,easily-extensible,high-accuracy,safe and stable agglomerate fog monitoring service.
At present,there are some problems in the development and construction of agglomerate fog detection system,such as excessive hardware cost,scattered monitoring data,inconvenient information sharing,poor data security and so on.Therefore,a highway agglomerate fog detection and pre-warning system based on Cloud Computing was proposed.Firstly,the system framework,including perception layer,network layer and application layer,was constructed.The main functions were realized,such as data transmission,information monitoring,display of warning information,data administration,equipment condition monitoring and so on.Then,local data center and Cloud Service were connected by Virtual Private Network to implement the hybrid cloud networking,which provides a more secure and reliable service for the system.Finally,the storage,migration and backup of various agglomerate fog data were programmed to rationally use the space of cloud storage.The results show that the system can provide a low-cost,easily-extensible,high-accuracy,safe and stable agglomerate fog monitoring service.
引文
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[4]朱子鹏.一种基于单片机的高速公路上的团雾检测系统[J].电子技术,2017,46(3):20-22.
[5]王健,潘福全,邢英,等.高速公路团雾影响分析与检测预警系统开发[J].公路,2018(6):276-281.
[6]曹兴锋.自动气象监测站网监控系统设计与应用[J].山东气象,2014,34(2):72-74.
[7]李雁,李峰,赵志强,等.中国区域自动气象站运行监控系统建设[J].气象科技,2013,41(2):231-235.
[8]陈康,郑纬民.云计算:系统实例与研究现状[J].软件学报,2009,20(5):1337-1348.
[9]白长清,矫宏鹤.云计算在气象检定系统中的应用[J].软件,2015,36(11):30-33.
[10]司维,程李,李文娟.云计算平台自动气象监测网络系统分析[J].电子技术与软件工程,2014(13):215-215.
[11]华连生,唐怀瓯,王根,等.安徽省气象业务资源池设计与应用[J].气象科技,2017,45(2):269-275.
[12]刘玮,王丽宏.云计算应用及其安全问题研究[J].计算机研究与发展,2012(增刊2):186-191.
[13]陈星,兰兴土,李隘鹏,等.基于运行时模型的混合云管理方法[J].软件学报,2017,28(7):1881-1897.
[14]崔勇,宋健,缪葱葱,等.移动云计算研究进展与趋势[J].计算机学报,2017,40(2):273-295.
[15]刘宇,蒋涛,李建明.基于马尔算法的高速公路视频监控图像能见度研究[J].计算机测量与控制,2017,25(9):60-63.