Dipartimento di Elettronica, Informazione e Bioingegneria (DEIB), Politecnico di Milano, Milano 20133, Italy.
Department of Civil and Environmental Engineering (DICA)-Environmental Section, Politecnico di Milano, Milano 20133, Italy.
Sensors (Basel). 2020 Feb 19;20(4):1125. doi: 10.3390/s20041125.
A smart, safe, and efficient management of water is fundamental for both developed and developing countries. Several wireless sensor networks have been proposed for real-time monitoring of drinking water quantity and quality, both in the environment and in pipelines. However, surface fouling significantly affects the long-term reliability of pipes and sensors installed in-line. To address this relevant issue, we presented a multi-parameter sensing node embedding a miniaturized slime monitor able to estimate the micrometric thickness and type of slime. The measurement of thin deposits in pipes is descriptive of water biological and chemical stability and enables early warning functions, predictive maintenance, and more efficient management processes. After the description of the sensing node, the related electronics, and the data processing strategies, we presented the results of a two-month validation in the field of a three-node pilot network. Furthermore, self-powering by means of direct energy harvesting from the water flowing through the sensing node was also demonstrated. The robustness and low cost of this solution enable its upscaling to larger monitoring networks, paving the way to water monitoring with unprecedented spatio-temporal resolution.
智能、安全、高效的水资源管理对发达国家和发展中国家都至关重要。已经提出了几个无线传感器网络,用于实时监测环境和管道中的饮用水量和水质。然而,表面结垢会严重影响安装在线的管道和传感器的长期可靠性。为了解决这个相关问题,我们提出了一个多参数传感节点,嵌入了一个小型污垢监测器,能够估计污垢的微观厚度和类型。测量管道中较薄的沉积物可以描述水的生物和化学稳定性,并实现预警功能、预测性维护以及更有效的管理流程。在描述了传感节点、相关电子设备和数据处理策略之后,我们展示了在一个三节点试点网络领域进行的为期两个月的验证结果。此外,还通过直接从流过传感节点的水流中进行能量收集来实现自供电。该解决方案的鲁棒性和低成本使其能够扩展到更大的监测网络,为具有前所未有的时空分辨率的水监测铺平了道路。