基于计算机应用技术的智能道路环境监测实验平台的理论架设与实践
The theory and practice of intelligent road environmental monitoring experimental platform based on computer application technology

本文提出了一种基于计算机应用技术的智能道路环境监测实验平台，该系统集成了数据加载模块、数据处理模块、CRID集群云计算模块、仓库模块、移动计算模块以及CPU影像卡。传感器数据的处理和汇聚是通过软件代理来实现的。数据聚合在服务器集群中实现。在移动系统中，利用地理信息技术检索、可视化监控和智能分析的结果，利用深度机器学习方法进行智能分析和预测的任务，可以为驾驶者制定最佳路线，通知驾驶者在路上可能遇到的风险，同时方便监控者优化交通运输线路和客流，减少紧急风险，从而在出现问题时可以及时的做到提醒警方、紧急服务、救护车、维修及其他服务。
This paper presents a new type of intelligent road environmental monitoring experimental plat-form based on computer application technology, which integrates data loading module, data pro-cessing module, CRID cluster cloud computing module, warehouse module, mobile computing module and CPU image card. The processing and aggregation of sensor data is achieved through software agents. Data aggregation is implemented in a server cluster. In mobile systems, the results of geographic information technology retrieval, visual monitoring and intelligent analysis, as well as the intelligent analysis and prediction tasks with deep machine learning methods, are used to design the best route for drivers and inform them of possible risks on the road, while facilitating monitors to optimize transport routes and passenger flow and reduce emergency risks so that police, emergency services, ambulances, repairs and other services can be alerted in a timely manner in the event of a problem.