期刊
IEEE SENSORS JOURNAL
卷 22, 期 24, 页码 24449-24457出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3219931
关键词
Arduino; healthy living in smart cities; LED; LoRaWAN; smart cities; solid sensor; turbidity; wireless sensor network (WSN)
资金
- King Saud University, Riyadh, Saudi Arabia [RSP-2021/295]
- Ministerio de Educacion, Cultura y Deporte through the Ayudas para contratacion predoctoral de Formacion de Profesorado Universitario (FPU) (Convocatoria 2016) [FPU16/05540]
- Ministerio de Ciencia e Innovacion (MCIN) [PID2020-114467RR-C33]
- Ministerio de Agricultura, Pesca y Alimentacion through the Project GO TECNOGAR
- ThinkInAzul Program by MCIN through the European Union NextGenerationEU [PRTR-C17.I1]
- Generalitat Valenciana [THINKINAZUL/2021/002]
This article presents a wireless sensor network based on solid sensor nodes for detecting illicit discharges in sewerage. The solid sensor uses infrared light to determine pollutant concentration in water, and the relative error of the prototype is 3.4% within the range of 200-5000 mg/L.
Cities are big consumers of energy and big producers of pollution. In the past years, the concept of smart cities has been applied to reduce the release of pollutants and to reduce energy consumption. In this article, we present a wireless sensor network (WSN) based on solid sensor nodes to detect illicit discharges in sewerage. The solid sensor is an optical sensor that uses infrared light to determine the pollutant concentration in water. At 0 degrees, a photoreceptor receives infrared LED (IR LED) light and allows the current passage. This provokes a reduction of the internal resistance of the photoreceptor that can be measured. First, we tested different intensities of powered LEDs and resistances in the voltage divider. Once the best combinations had been selected, we calibrated our sensor. Our result suggested that the relative error of our prototype is 3.4% in the range of 200-5000 mg/L.
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