SMART Infrastructure Facility, Engineering and Information Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.
School of Chemistry, Monash University, Clayton, VIC 3800, Australia.
Sensors (Basel). 2021 Dec 30;22(1):254. doi: 10.3390/s22010254.
Turbidity is one of the primary metrics to determine water quality in terms of health and environmental concerns, however analysis typically takes place in centralized facilities, with samples periodically collected and transported there. Large scale autonomous deployments (WSNs) are impeded by both initial and per measurement costs. In this study we employ a Paired Emitter-Detector Diode (PEDD) technique to quantitatively measure turbidity using analytical grade calibration standards. Our PEDD approach compares favorably against more conventional photodiode-LED arrangements in terms of spectral sensitivity, cost, power use, sensitivity, limit of detection, and physical arrangement as per the ISO 7027 turbidity sensing standard. The findings show that the PEDD technique was superior in all aforementioned aspects. It is therefore more ideal for low-cost, low-power, IoT deployed sensors. The significance of these findings can lead to environmental deployments that greatly lower the device and per-measurement costs.
浊度是衡量水质健康和环境问题的主要指标之一,但分析通常在集中设施中进行,定期采集和运输样本。大规模的自主部署(WSN)受到初始和每测量成本的阻碍。在这项研究中,我们使用配对发射器-探测器二极管 (PEDD) 技术使用分析级校准标准定量测量浊度。根据 ISO 7027 浊度感应标准,我们的 PEDD 方法在光谱灵敏度、成本、功耗、灵敏度、检测限和物理布置方面与更传统的光电二极管-LED 布置相比具有优势。研究结果表明,PEDD 技术在所有上述方面都具有优势。因此,它更适合低成本、低功耗的物联网部署传感器。这些发现的意义在于,可以实现环境部署,从而大大降低设备和每测量成本。