IoT PURIFLUX - Advanced Sewage Purification and Monitoring

Abstract

This research paper introduces the conceptualization and design of an Internet of Things (IoT) technology-based automated sewage monitoring system. The system is designed to address the growing challenges of sewage management in cities. The system uses a chain of core components, including NodeMCU microcontroller, SIM800L GSM module, XL6009 booster module, MQ gas sensor, JSN SR-04T waterproof ultrasonic sensor, and on/off switch. The NodeMCU is the core controlling module, allowing data collection, processing, and transmission. The SIM800L GSM module supports wireless communication and establishment of a communication link, allowing remote control and operation. The XL6009 booster module supplies a reliable power source to the system components.With this combined system, real-time information on sewage levels, gas levels, and system status can be compiled and sent to a central server or user interface. The information allows proactive management and timely intervention of sewage-related issues, hence improving sanitation and public health. The proposed automated sewage monitoring system, utilizing IoT technology, has the capability to revolutionize sewage management practices, offering an economic and efficient solution for urban cities.

Introduction

Summary

With increasing urbanization and population growth, effective sewage management has become a critical challenge. Traditional systems are manual, slow, and error-prone, posing risks to public health and the environment. This research proposes an automated, IoT-based sewage monitoring system to address these issues using real-time data, remote access, and advanced sensors.

System Overview

The system integrates:

• SIM800L GSM module for wireless communication and remote monitoring.

• XL6009 booster module to ensure a stable power supply.

• MQ gas sensor to detect hazardous gases.

• JSN SR-04T waterproof ultrasonic sensor for accurate sewage level measurement.

• NodeMCU (ESP8266) microcontroller to collect and process sensor data.

• Blinkit mobile app for real-time monitoring, alerts, and remote control by authorized personnel.

Objectives

1. Design an automated, IoT-based sewage monitoring system.

2. Detect hazardous gases using gas sensors.

3. Measure sewage levels with ultrasonic sensors.

4. Enable wireless, remote supervision.

5. Improve efficiency and reliability in sewage management.

Methodology

• System Design & Component Integration: All sensors and modules are integrated with the NodeMCU.

• Programming: Software is written in Arduino IDE to read sensor data, handle errors, and send updates via GSM.

• Testing: The system is tested in various conditions to validate sensor accuracy and overall reliability.

• IoT Integration: Real-time data is transmitted to a central server and visualized via the app.

Working Mechanism

The system continuously monitors sewage levels and gas concentration. Real-time data is sent to a central interface, allowing remote access and control. Alerts are triggered during emergencies, enabling timely intervention and maintenance.

Results and Discussion

• Accurate and Real-Time Monitoring: Sensors provide stable, reliable readings.

• Early Hazard Detection: The MQ sensor alerts authorities to harmful gas presence.

• Remote Access: Users can monitor and control the system via the app or server.

• Reliable and Robust: The system functions well in varying environmental conditions.

• User-Friendly App: The Blinkit app supports data visualization, alerts, and decision-making.

Conclusion

In conclusion, an IoT-based sewer monitoring system has so far lived up to expectations as a great solution for sewage management. The system can check the level of sewer infection, gas pollution, and real-time data transmission of great significance to both people\'s health and environmental sustainability. It is also more comfortable, cheaper and safer. All these advantages come from the fact that the system could be used not only inside the house but also in the situation of emergencies. The system is simple to use as it will help the local citizens to deal with any potential water issues. Integration of the IoT infrastructure that is successful allows the system to send data flawlessly and to save it at the datacenter. All involved parties thus are giving timely and effective insights to them. In general, the execution of that project unquestionably points out the chance this system holds for the renovation of sewage management procedures. Next to this, it can also generate improved effectiveness, reliability, and robustness than the traditional manual monitoring way of doing things. The outcomes as seen in the testing part of the system and an analysis of the performance outline the advantages of real-time detection, early stage spotting, and the functional nature of remote control. The IoT technology driven sewer monitoring system that is fully automatic possesses a highly prospective nature for growth and the expansion in the years to come. In an exemplary manner, machine learning algorithms that are capable of ensuring the optimal and the timely maintenance of the system and the sewage may even be used by the way the IoT system gets integrated further. Likewise, the inclusion of more sensors into the present system will result in the system becoming a powerful monitoring tool. Take for instance, pushing in a pH sensor for the determination of the levels of acidity, the use of which can detect any abnormal condition. Other sensors are still welcome, for instance, choosing to put in a turbidity sensor which could give accurate reading on the quality of water or temperature sensor through which a signal will be given. Creating decision-support systems that can learn from the collected data and at the same time support proactive decision-making is a great help to a company that has the system. The system takes into account not only the time of the data reception and the reading from the sensors but also the weather events and the legally required specifications, and then the system can give advice and recommendation to the best management strategies for the sewerage with the emergency planning. The combination of the automatic sewage monitoring system with other smart city infrastructure devices can be a definite pathway to urban management that is not only integrated but also holistic. The automatic sewage monitoring system can diversify if we look into new directions which may be critical in nature for example it can address newer issues which may arise in the sewage management field and help in building smarter and more sustainable cities through the use of this technology.

References

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Copyright

Copyright © 2025 Loganathan P, Ragu P, Vignesh M, Nimitha S, Hema Latha C. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.