基于云计算的公路团雾检测与预警系统设计

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.