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LoRa-based Network for Water Quality Monitoring in Coastal Areas
Mobile Networks and Applications ( IF 2.3 ) Pub Date : 2022-07-12 , DOI: 10.1007/s11036-022-01994-8
Sandra Sendra , Lorena Parra , Jose M. Jimenez , Laura Garcia , Jaime Lloret

Agriculture Farming activity near to rivers and coastal areas sometimes imply spills of chemical and fertilizers products in aquifers and rivers. These spill highly affect the water quality in rivers’ mouths and beaches close to those rivers. The presence of these elements can worse the quality for its normal use, even for its enjoying. When this polluted water reaches the sea can also have problematic consequences for fauna and flora. For this reason, it is important to rapidly detect where these spills are taking place and where the water does not have the minimum of quality to be used. In this article we propose the design and implementation of a LoRa (Long Range) based wireless sensor network for monitoring the quality of water in coastal areas, rivers and ditches with the aim to generate an observatory of water quality of the monitored areas. This network is composed by several wireless sensor nodes endowed with several sensors to physically measure parameters of water quality, such as turbidity, temperature, etc., and weather conditions such as temperature and relative humidity. The data collected by the sensors is sent to a gateway that forwards them to our storage database. The database is used to create an observatory that will permit the monitoring of the environment where the network is deployed. We test different devices to select the one that presents the best performance. Finally, the final solution is tested in a real environment for checking its correct operation. Two different tests will be carried out. The first test checks the correct operation of sensors and the network architecture while the second test show us the devices performance in terms of coverage.



中文翻译:

基于 LoRa 的沿海地区水质监测网络

农业 河流和沿海地区附近的农业活动有时意味着蓄水层和河流中的化学和化肥产品泄漏。这些泄漏严重影响了河口和靠近这些河流的海滩的水质。这些元素的存在会降低其正常使用的质量,即使是享受。当这些被污染的水流入大海时,也会对动植物产生问题影响。出于这个原因,重要的是要快速检测这些溢出发生在哪里,以及哪里的水没有达到最低使用质量。在本文中,我们建议设计和实施基于 LoRa(远程)的无线传感器网络,用于监测沿海地区、河流和沟渠的水质,旨在生成监测区域的水质观测站。该网络由多个无线传感器节点组成,这些节点具有多个传感器,用于物理测量水质参数,如浊度、温度等,以及天气条件,如温度和相对湿度。传感器收集的数据被发送到网关,网关将它们转发到我们的存储数据库。该数据库用于创建一个观测站,该观测站将允许监控部署网络的环境。我们测试不同的设备以选择性能最佳的设备。最后,在真实环境中对最终解决方案进行测试,以检查其是否正确运行。将进行两种不同的测试。第一个测试检查传感器和网络架构的正确操作,而第二个测试向我们展示了设备在覆盖范围方面的性能。

更新日期:2022-07-14
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