Smart Cloud-Based Wastewater Management System
Keywords:
Internet of Things, Wastewater Management, Cloud-Based Monitoring, ESP32, SensorsAbstract
Wastewater management is essential for protecting the environment and public health. Rapid urban growth, industrial development, and population increase have led to the production of large amounts of wastewater. If not treated properly, this wastewater pollutes natural water sources, damages ecosystems, and creates serious health risks. As a result, effective wastewater management is now critical worldwide. Current wastewater monitoring systems rely mostly on manual or semi-automated processes. This can cause delays in monitoring, inefficient use of resources, and challenges in detecting unusual conditions. This paper introduces a Smart Cloud-Based Wastewater Management System that uses Internet of Things (IoT) sensors, cloud computing, and real-time data analysis to improve wastewater monitoring and management. Multiple sensors measure important water quality parameters like temperature, pH, turbidity, total dissolved solids (TDS), electrical conductivity (EC), and flow rate. An ESP32 microcontroller collects and processes the sensor data, sending it to a cloud platform via Wi-Fi. Real-time dashboards and mobile applications allow for remote monitoring of system performance. Alert notifications are issued when readings are abnormal. The proposed system is cost-effective, scalable, and ideal for smart wastewater management applications
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S. R. Jondhale and R. S. Deshpande, “IoT based water quality monitoring system,” International Journal of Innovative Research in Computer and Communication Engineering, vol. 5, no. 6, pp. 1107–1112, Jun. 2017.
A. Geetha and G. Gouthami, “Internet of Things enabled real-time water quality monitoring system,” Smart Water, vol. 2, no. 1, pp. 1–19, 2017.
K. Vijayakumar, S. Ramya, and M. S. Kumar, “Real time monitoring and control of water quality in IoT environment,” International Journal of Advanced Engineering Research and Science, vol. 4, no. 4, pp. 20–24, Apr. 2017.
R. Kumar and S. Rajasekaran, “An IoT based smart water quality monitoring system using cloud,” International Journal of Pure and Applied Mathematics, vol. 118, no. 20, pp. 1367–1375, 2018.
M. S. Hossain, M. T. Islam, and M. M. Rahman, “Smart water quality monitoring system using IoT,” in Proc. IEEE Int. Conf. on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), 2018, pp. 1–4.
N. Parveen, S. Zaidi, and M. A. Khan, “IoT based water quality monitoring system using cloud computing,” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3, no. 5, pp. 45–50, 2018.
P. Jiang, “A novel distributed online water quality monitoring system using wireless sensor networks,” Sensors, vol. 9, no. 4, pp. 2421–2435, 2009.
S. Pasika and S. T. Gandla, “Smart water quality monitoring system with cost-effective IoT implementation,” International Journal of Advanced Research in Computer Science, vol. 9, no. 2, pp. 629–632, 2018.
A. Nasir, S. B. Shamsuddin, and M. F. Ramli, “IoT based water quality monitoring using ThingSpeak,” International Journal of Engineering Research and Technology, vol. 7, no. 6, pp. 1–5, 2018.
R. Silva, J. P. Monteiro, and L. M. Araujo, “Low-cost IoT-based water quality monitoring system,” IEEE Sensors Journal, vol. 20, no. 9, pp. 4722–4730, May 2020.
M. A. Rahman, A. T. Asyhari, and S. Azad, “IoT-based smart water quality monitoring for urban applications,” IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2595–2603, Apr. 2019.
Y. Kim and J. Lee, “Real-time environmental monitoring system using IoT and cloud analytics,” Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 10, pp. 4071–4084, 2019.
S. K. Dash, S. Mohapatra, and P. K. Pattnaik, “A survey on applications of wireless sensor network using cloud computing,” International Journal of Computer Science and Engineering Survey, vol. 1, no. 4, pp. 50–56, Nov. 2010.
V. Kumar and R. Kumar, “IoT based smart water monitoring system using cloud computing,” International Journal of Engineering and Advanced Technology, vol. 8, no. 6, pp. 2248–2253, Aug. 2019.
World Health Organization, Guidelines for Drinking-Water Quality, 4th ed. Geneva, Switzerland: WHO Press, 2017.
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