TY - JOUR
T1 - Arduino and IoT-based direct filter observation method monitoring the color change of water filter for safe drinking water
AU - Hong, Minji
AU - Kim, Kipal
AU - Hwang, Yuhoon
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/10
Y1 - 2022/10
N2 - Globally, the red water crisis continues to occur because of aging water pipelines, excessive water system conversion, and inadequate water tank management. Therefore, in this study, we have developed a monitoring system for water tank filters in apartment buildings by using Arduino and Internet of Things (IoT) technology to realize efficient water tank management. The proposed system uses grayscale, RGB color, and pressure sensors, and these sensors are connected to an Arduino. In the performance evaluation of the direct filter monitoring system using a color sensor, the system could effectively detect the turbid water inflow by the signal-to-noise ratio of derivative of color change. Moreover, the representative turbidity-causing minerals such as iron (III) oxide-hydroxide (FeO(OH)), iron (III) oxide (Fe2O3), manganese oxide (MnO2) could be distinguished by a different color. A correlation analysis between pressure change and turbidity of filtered water yielded an R-square value of 0.9 or higher under most conditions. Based on the results obtained in the lab-scale test, a four-stage notification algorithm for safe filter operation was proposed. Finally, the developed direct filter monitoring system was installed in an apartment complex as a field demonstration, and it verified that the direct filter monitoring system can provide reliable notifications with high accuracy. Therefore, the direct filter monitoring system developed in this study can be widely used to manage water filter to ensure safe water supply in apartment complexes.
AB - Globally, the red water crisis continues to occur because of aging water pipelines, excessive water system conversion, and inadequate water tank management. Therefore, in this study, we have developed a monitoring system for water tank filters in apartment buildings by using Arduino and Internet of Things (IoT) technology to realize efficient water tank management. The proposed system uses grayscale, RGB color, and pressure sensors, and these sensors are connected to an Arduino. In the performance evaluation of the direct filter monitoring system using a color sensor, the system could effectively detect the turbid water inflow by the signal-to-noise ratio of derivative of color change. Moreover, the representative turbidity-causing minerals such as iron (III) oxide-hydroxide (FeO(OH)), iron (III) oxide (Fe2O3), manganese oxide (MnO2) could be distinguished by a different color. A correlation analysis between pressure change and turbidity of filtered water yielded an R-square value of 0.9 or higher under most conditions. Based on the results obtained in the lab-scale test, a four-stage notification algorithm for safe filter operation was proposed. Finally, the developed direct filter monitoring system was installed in an apartment complex as a field demonstration, and it verified that the direct filter monitoring system can provide reliable notifications with high accuracy. Therefore, the direct filter monitoring system developed in this study can be widely used to manage water filter to ensure safe water supply in apartment complexes.
KW - Direct color observation
KW - Red water crisis
KW - Signal-to-noise ratio
KW - Water filter monitoring
KW - Water quality notification system
UR - http://www.scopus.com/inward/record.url?scp=85139052604&partnerID=8YFLogxK
U2 - 10.1016/j.jwpe.2022.103158
DO - 10.1016/j.jwpe.2022.103158
M3 - Article
AN - SCOPUS:85139052604
SN - 2214-7144
VL - 49
JO - Journal of Water Process Engineering
JF - Journal of Water Process Engineering
M1 - 103158
ER -