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Low-Cost System Based on Optical Sensor to Monitor Discharge of Industrial Oil in Irrigation Ditches
Uncontrolled dumping linked to agricultural vehicles causes an increase in the incorporation of oils into the irrigation system. In this paper, we propose a system based on an optical sensor to monitor oil concentration in the irrigation ditches. Our prototype is based on the absorption and dispersi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401818/ https://www.ncbi.nlm.nih.gov/pubmed/34450891 http://dx.doi.org/10.3390/s21165449 |
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author | Basterrechea, Daniel A. Rocher, Javier Parra, Lorena Lloret, Jaime |
author_facet | Basterrechea, Daniel A. Rocher, Javier Parra, Lorena Lloret, Jaime |
author_sort | Basterrechea, Daniel A. |
collection | PubMed |
description | Uncontrolled dumping linked to agricultural vehicles causes an increase in the incorporation of oils into the irrigation system. In this paper, we propose a system based on an optical sensor to monitor oil concentration in the irrigation ditches. Our prototype is based on the absorption and dispersion of light. As a light source, we use Light Emitting Diodes (LEDs) with different colours (white, yellow, blue, green, and red) and a photodetector as a sensing element. To test the sensor’s performance, we incorporate industrial oils used by a diesel or gasoline engine, with a concentration from 0 to 0.20 mL(oil)/cm(2). The experiment was carried out at different water column heights, 0 to 20 cm. According to our results, the sensor can differentiate between the presence or absence of diesel engine oil with any LED. For gasoline engine oil, the sensor quantifies its concentration using the red light source; concentrations greater than 0.1 mL(oil)/cm(2) cannot be distinguished. The data gathered using the red LED has an average absolute error of 0.003 mL(oil)/cm(2) (relative error of 15.8%) for the worst case, 15 cm. Finally, the blue LED generates different signals in the photodetector according to the type of oil. We developed an algorithm that combines (i) the white LED, to monitor the presence of oil; (ii) the blue LED, to identify if the oil comes from a gasoline or diesel engine; and (iii) the red LED, to monitor the concentration of oil used by a gasoline engine. |
format | Online Article Text |
id | pubmed-8401818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84018182021-08-29 Low-Cost System Based on Optical Sensor to Monitor Discharge of Industrial Oil in Irrigation Ditches Basterrechea, Daniel A. Rocher, Javier Parra, Lorena Lloret, Jaime Sensors (Basel) Article Uncontrolled dumping linked to agricultural vehicles causes an increase in the incorporation of oils into the irrigation system. In this paper, we propose a system based on an optical sensor to monitor oil concentration in the irrigation ditches. Our prototype is based on the absorption and dispersion of light. As a light source, we use Light Emitting Diodes (LEDs) with different colours (white, yellow, blue, green, and red) and a photodetector as a sensing element. To test the sensor’s performance, we incorporate industrial oils used by a diesel or gasoline engine, with a concentration from 0 to 0.20 mL(oil)/cm(2). The experiment was carried out at different water column heights, 0 to 20 cm. According to our results, the sensor can differentiate between the presence or absence of diesel engine oil with any LED. For gasoline engine oil, the sensor quantifies its concentration using the red light source; concentrations greater than 0.1 mL(oil)/cm(2) cannot be distinguished. The data gathered using the red LED has an average absolute error of 0.003 mL(oil)/cm(2) (relative error of 15.8%) for the worst case, 15 cm. Finally, the blue LED generates different signals in the photodetector according to the type of oil. We developed an algorithm that combines (i) the white LED, to monitor the presence of oil; (ii) the blue LED, to identify if the oil comes from a gasoline or diesel engine; and (iii) the red LED, to monitor the concentration of oil used by a gasoline engine. MDPI 2021-08-12 /pmc/articles/PMC8401818/ /pubmed/34450891 http://dx.doi.org/10.3390/s21165449 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Basterrechea, Daniel A. Rocher, Javier Parra, Lorena Lloret, Jaime Low-Cost System Based on Optical Sensor to Monitor Discharge of Industrial Oil in Irrigation Ditches |
title | Low-Cost System Based on Optical Sensor to Monitor Discharge of Industrial Oil in Irrigation Ditches |
title_full | Low-Cost System Based on Optical Sensor to Monitor Discharge of Industrial Oil in Irrigation Ditches |
title_fullStr | Low-Cost System Based on Optical Sensor to Monitor Discharge of Industrial Oil in Irrigation Ditches |
title_full_unstemmed | Low-Cost System Based on Optical Sensor to Monitor Discharge of Industrial Oil in Irrigation Ditches |
title_short | Low-Cost System Based on Optical Sensor to Monitor Discharge of Industrial Oil in Irrigation Ditches |
title_sort | low-cost system based on optical sensor to monitor discharge of industrial oil in irrigation ditches |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8401818/ https://www.ncbi.nlm.nih.gov/pubmed/34450891 http://dx.doi.org/10.3390/s21165449 |
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