Web based Water Turbidity Monitoring and Automated Filtration System: IoT Application in Water Management

Abstract

Water supplied to residential areas is prone to contaminants due to pipe residues and silt, and therefore resulted in cloudiness, unfavorable taste, and odor in water. Turbidity, a measure of water cloudiness, is one of the important factors for assessing water quality. This paper proposes a low-cost turbidity system based on a light detection unit to measure the cloudiness in water. The automated system uses Intel Galileo 2 as the microprocessor and a server for a web-based monitoring system. The turbidity detection unit consists of a Light Dependent Resistor (LDR) and a Light Emitting Diode (LED) inside a polyvinyl chloride (PVC) pipe. Turbidity readings were recorded for two different positionings; 90° and 180° between the detector (LDR) and the incident light (LED). Once the turbidity level reached a threshold level, the system will trigger the filtration process to clean the water. The voltage output captured from the designed system versus total suspended solid (TSS) in sample water is graphed and analyzed in two different conditions; in total darkness and in the present of ambient light. This paper also discusses and compares the results from the above-mentioned conditions when the system is submerged in still and flowing water. It was found that the trends of the plotted graph decline when the total suspended solid increased for both 90° and 180° detector turbidimeter in all conditions which imitate the trends of a commercial turbidimeter. By taking the consideration of the above findings, the design can be recommended for a low-cost real-time web-based monitoring system of the water quality in an IOT environment.

IoT Based Smart Water Quality Monitoring: Recent Techniques, Trends and Challenges for Domestic Applications

“…Ibrahim et al [89] published a low-cost IoT-based solution to measure turbidity of domestic water in tanks equipped with water filters. In this study, authors developed an indigenous light detection unit to measure turbidity.…”

Water monitoring and analytic based thingspeak

“…As the amount of suspended solids increases in water, the water turbidity level increases. The unit of turbidity is NTU (Nephelometric Turbidity Units) [17,18].…”

The internet of things in high andean wetland monitoring, historical review approach

“…In the environmental field, given the need to measure different variables, which require important sampling frequencies in large areas of spatial coverage, IoT has proved to be a viable solution, given the low power consumption required, with good operating autonomy, which facilitates its application in places of difficult or controlled access [11], [12]. Now, another area of application of IoT, related to the environmental field [13], [14] and water quality, but not to the high Andean wetlands, is health, and it is there where authors like [15]- [18] and [19] have ventured into the design of system for monitoring water quality, based on IoT techniques. The above taking into account not only the ease of applying these developments in areas of difficult access, but also the low cost that they can have, so much so that IoT techniques are being addressed in an interesting way in telemedicine [20], [21].…”