Sensor networks for hydrometric monitoring of urban watercourses
Sensor networks for hydrometric monitoring of urban watercourses
复制标题
用于城市河道水文监测的传感器网络
DOI：
10.1109/honet.2019.8908007
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
C. Harmstad
中科院分区：
文献类型：
--
作者：
V. Powar;C. Post;E. Mikhailova;C. Cook;M. Mayyan;A. Bapat;C. Harmstad
城市水道的水量和水质监测已经开始从传统的基于人工观测的方法发展到更多的基于无线传感器网络（WSNs）的智能传感的例子。然而，迫切需要利用低成本传感器和物联网（IoT）技术来提高水文观测的空间和时间密度。小型城市河流的监测具有挑战性，因为它们的快速变化和暴雨条件下的高流量。在这里，我们提出了一种具有实时水文报告的低成本户外物联网系统。建议的传感器网络由连接到非SQL数据库的节能嵌入式节点组成。这项研究是克莱姆森大学（克莱姆森，SC，美国）智能河流研究计划的一部分。设计的网络由LoRaWAN或LTE CAT M1通信协议组成。我们评估这些传感节点的数据包传输率（PDR），以确保我们设计的网络是有弹性的，有更少的丢包。LoRaWAN节点的平均PDR为94.14%，而LTE CAT M1节点的平均PDR为99.7%。该系统展示了一个弹性的无线网络，用于城市雨水监测。
Water quantity and quality monitoring of urban watercourses have begun to evolve from traditional approaches based on manual observations to more examples of smart sensing based on Wireless Sensor Networks (WSNs). However, there is an urgent need to leverage the low-cost sensors and Internet of Things (IoT) technologies to improve the spatial and temporal density of hydrometric observations. Small urban streams are challenging to monitor because of their rapid change and highstream flows during storm conditions. Here, we propose a low-cost outdoor IoT system with real-time hydrometric reporting. The proposed sensor network consists of power-efficient embedded nodes linked to a non-SQL database. The study is a part of the Intelligent River research program at Clemson University (Clemson, SC, USA). The designed network consists of either LoRaWAN or LTE CAT M1 communication protocol. We evaluate Packet Delivery Ratio (PDR) of these sensing nodes to ensure our designed network is resilient and has fewer packet drops. The LoRaWAN nodes have an average PDR of 94.14% while the LTE CAT M1 nodes have an average PDR of 99.7%. The proposed system demonstrates a resilient wireless network for urban storm water monitoring.