| Title | Remote Sensing Kit for Contamination Event Detection in Water |
|---|---|
| ID_Doc | 39440 |
| Authors | Siam, M; Munna, JI; Hasan, M; Rahman, T |
| Title | Remote Sensing Kit for Contamination Event Detection in Water |
| Year | 2019 |
| Published | |
| Abstract | Here, we propose an Internet of Things (IoT) enabled remote sensing kit for multipara-meter based water quality monitoring and contamination event detection. The proposed kit is able to collect real-time data from household reservoirs, analyze and display them on an easy to use platform for monitoring purpose. It can measure Temperature (T), pH, Electrical Conductivity (EC), and Turbidity (Tb), as vital indicators of water quality. It can also preprocess acquired data by the onboard processor (NodeMCU) and transfer to the cloud (Firebase) for determining the water quality. Users can monitor water quality regularly as a graph and other means by logging in their web account. The kit has been tested thoroughly to ensure its accuracy and usefulness. The proposed remote sensing kit can be seamlessly integrated into the water management system of the metropolitan area and can be considered as an important part for the future smart city concept. |
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