Guyard Hélène, Prost-Boucle Stéphanie, Sudre Julien, Moreau Sylvain, Imig Arnold, Favreau Gabrielle, Quatela Valerie, Clement Remi
Univ. Grenoble Alpes, IRD, CNRS, INRAE, Grenoble INP*, IGE, 38000 Grenoble, France *Institute of Engineering and Management, Univ. Grenoble Alpes, France.
INRAE - French National Research Institute for Agriculture, Food and Environment, REVERSAAL Research Unit, 5 rue de la Doua, CS 20244, 69625 Villeurbanne Cedex, France.
HardwareX. 2024 Dec 11;21:e00613. doi: 10.1016/j.ohx.2024.e00613. eCollection 2025 Mar.
Sensors play an important role in both the continuous monitoring and intermittent analyses, which are essential for the study of wastewater treatment plant management and conducting related research. Given the significant environmental impact of the issues involved, accurate measurement of the volume of water flowing into and out of treatment plants is a key parameter for plant management, ecotoxicological studies and academic research programs. Traditionally, flow measurements have been based on calibrated weirs or venturi flumes, using water level measurements for conversion into flow, according to established relationships. In this article, the authors propose an innovative approach to explore the feasibility of developing an open-source, reparable and cost-effective data logger for flow monitoring using ultrasonic technology. By leveraging Arduino modules and a complementary Grove shield, the proposed data logger offers seamless integration and affordability. In particular, it features an on-board web server to facilitate data collection and device testing, offering accessibility through Wi-Fi connectivity with smartphones or computers. The authors demonstrate the effectiveness of their flowmeter by comparing its performance with that of a commercial reference flowmeter, yielding a maximum permissible measurement error of 0.6 mm on the water level measurement. Furthermore, they demonstrate the durability and reliability of the developed data logger through extensive field-testing over a 9-month period.
传感器在连续监测和间歇分析中都发挥着重要作用,这对于污水处理厂管理研究及开展相关研究至关重要。鉴于所涉问题对环境有重大影响,准确测量流入和流出处理厂的水量是工厂管理、生态毒理学研究及学术研究项目的关键参数。传统上,流量测量基于校准堰或文丘里水槽,根据既定关系,利用水位测量值换算为流量。在本文中,作者提出一种创新方法,探讨开发一种使用超声波技术进行流量监测的开源、可修复且经济高效的数据记录器的可行性。通过利用Arduino模块和配套的Grove扩展板,所提出的数据记录器实现了无缝集成且价格实惠。特别是,它具有板载网络服务器,便于数据收集和设备测试,通过与智能手机或计算机的Wi-Fi连接实现可访问性。作者通过将其流量计的性能与商用参考流量计的性能进行比较,证明了该流量计的有效性,在水位测量方面产生的最大允许测量误差为0.6毫米。此外,他们通过为期9个月的广泛现场测试,证明了所开发数据记录器的耐用性和可靠性。