摘要
在高速公路地表径流污染观察过程中,针对的监测要素较为单一,使得最终监测结果平均相对误差(MRE)加大。因此,针对提出高速公路地表径流污染,提出运用物联网技术的新型监测方法。依托于系统节点部署方法在目标区域合理设置多个传感器,与汇聚节点、上位机相连接组成环境监测物联网,全方面感知地表径流污染情况。计算每个网络数据源IP地址的熵值,择优采集高质量污染数据,得到高速公路地表径流污染监测值。实验结果表明:该方法污染监测结果的MRE值保持在0.1以下,可以较为真实地反映地表径流污染情况。
In the process of observing surface runoff pollution on highways,the monitoring elements targeted are relatively single,which increases the average relative error(MRE)of the final monitoring results.In response to the proposal of surface runoff pollution on highways,a new monitoring method using Internet of Things technology is proposed.Based on the deployment method of system nodes,multiple sensors are reasonably set up in the target area,connected to the aggregation node and upper computer to form the environmental monitoring Internet of Things,and comprehensively perceive the surface runoff pollution situation.The paper calculates the entropy value of each network data source IP address by using high-quality pollution data to obtain the monitoring values of surface runoff pollution on highways.The experimental results show that the MRE value of the pollution monitoring results of this method remains below 0.1,which can accurately reflect the surface runoff pollution situation.
作者
郝琦
Hao Qi(Liaocheng Transportation Law Enforcement Supervision Detachment,Liaocheng 252000,China)
出处
《环境科学与管理》
CAS
2024年第9期143-146,共4页
Environmental Science and Management
关键词
物联网
传感器节点
高速公路
地表径流
自组织神经网络
internet of things
sensor nodes
expressway
surface runoff
self organizing neural network