Cherif Ilane, Cherqui Frédéric, Perret Franck, Bourjaillat Bastien, Lord Lionel, Bertrand-Krajewski Jean-Luc, Walcker Nicolas, Gisi Maria, Bacot Laëtitia, Navratil Oldrich
Université de Lyon, INSA Lyon, DEEP EA 7429, 11 rue de la Physique, F-69621 Villeurbanne cedex, France.
Université de Lyon, UMR 5600 CNRS-Environnement Ville Société, Université Lumière Lyon 2, 5 avenue Pierre Mendès-France, Bron Cedex F-69635, France.
HardwareX. 2025 Aug 7;23:e00685. doi: 10.1016/j.ohx.2025.e00685. eCollection 2025 Sep.
The deployment of low-cost network sensors (LCNS) for environmental monitoring has become increasingly prevalent in recent years, offering a cost-effective solution for enhancing spatial sensor coverage while minimizing financial constraints. This study presents , a water level monitoring system specifically designed for highly dynamic aquatic environments such as rivers, ponds or lakes. is an open-source, robust, and cost-effective Internet of Things (IoT)-based monitoring solution incorporating an ultrasonic sensor. The electronic components were carefully selected for their affordability, reliability, and performance. The system underwent a fully autonomous, long-term (3-year) field test in a challenging and highly dynamic environment - a sewer system - to validate its robustness. Its accuracy was assessed against a high-precision professional device, demonstrating an error margin of less than 1 cm. Additionally, was developed with a user-friendly design to facilitate accessibility for non-experts, aligning with the needs of citizen science initiatives and educational applications.
近年来,用于环境监测的低成本网络传感器(LCNS)的部署越来越普遍,它为增强空间传感器覆盖范围同时将资金限制降至最低提供了一种经济高效的解决方案。本研究展示了一种专门为河流、池塘或湖泊等高度动态的水生环境设计的水位监测系统。[具体名称]是一种基于物联网(IoT)的开源、强大且经济高效的监测解决方案,集成了超声波传感器。电子元件因其价格实惠、可靠性和性能而被精心挑选。该系统在具有挑战性且高度动态的环境——下水道系统中进行了为期三年的完全自主的现场测试,以验证其稳健性。其准确性与高精度专业设备进行了对比评估,显示误差幅度小于1厘米。此外,[具体名称]的设计便于用户使用,以方便非专业人员使用,符合公民科学倡议和教育应用的需求。