基于物联网的城市交通污染气体排放监控预警系统

交通污染气体排放是影响城市环境质量的主要因素之一.融合GIS、GPRS以及GPS技术,本系统通过传感器动态跟踪监测点附近的道路交通污染气体排放量,以及与之相关的影响因素,如:交通流、道路线形、天气等,利用K-近邻算法挖掘其内在联系,结合实际交通状况,构建能够准确反映交通污染气体在时空上的排放量分布预警模型,为如何降低交通污染排放提供决策支持依据.实验结果表明,本系统能准确预测交通污染气体的排放分布趋势,为交通管理部门进行道路交通管理提供依据.

Monitoring and Warning System of Urban Traffic Pollution Gases Based on Internet of Things

Traffic pollution emission is one of the main factors affecting the quality of the urban environment.A pollution emission monitoring and warning system which can obtain the traffic air quality with sensors is presented.It can dynamic track the affect of polluting gases emission such as traffic flow,road alignment,weather,etc.The system can evaluate its traffic pollution emissions with the impact of distribution and then tap their internal relations.After that,a warning model is built which can accurately reflect the traffic emissions of polluting gases in the space-time distribution.Experimental results show that the system can accurately predict the distribution of traffic pollution gas emissions trends,and provide evidence for the traffic management department.