Smart Sewage System

Abstract

Sewage treatment is an important environmental protect problem. If the drainage system is not maintained properly, the pure water got mixed with drainage water and cause infectious disease. It is very important that underground drainage system should work in a proper manner to keep the city clean, safe and healthy. So various kind of work has been done to detect, maintain and manage these underground systems. To create a barrier to this problem, a hardware model is designed to monitor the sewage system. In this project, we aim to design a system to measure the water level in sewage continuously using the ultrasonic sensor. The toxicity of CO and methane gases are also sensed to avoid danger for human life. This project attempts to device that detect the humidity, temperature levels, and mixture of gases, sensing each type of gas to measure its level while keeping track of the real-time dynamic changes in the above factors using Arduino. If levels exceed beyond the threshold, it shall send an alert on the connected mobile devices of the authorized people who are remotely located in the job with the help of Node MCU.

Introduction

I. INTRODUCTION

The management of sewage is an essential component of modern urban infrastructure. Sewage treatment plants play a crucial role in protecting public health and the environment by removing pollutants and harmful substances from wastewater before it is discharged into water bodies. However, the safe and efficient management of sewage is not without its challenges. One of the main challenges is the detection of toxic gases and water levels in sewage, which can pose significant health and environmental risks if left undetected. To address this challenge, we propose the development of a smart sewage system that leverages the power of modern technology to detect toxic gases and water levels in sewage. Specifically, our system uses an Arduino Uno microcontroller to collect data from various sensors that are placed in the sewage system. These sensors are designed to detect the presence of toxic gases, such as methane and hydrogen sulfide, as well as to measure the water level in the sewage. Once the data is collected, it is sent to the cloud via a wireless module, where it is analysed using advanced algorithms to identify any potential risks or anomalies in the sewage system. This data can be accessed in real-time by the sewage treatment plant operators, allowing them to take immediate action to mitigate any potential risks to public health or the environment. Overall, our smart sewage system represents a significant step forward in the management of sewage, and has the potential to revolutionize the way we monitor and treat wastewater in urban environments. By detecting toxic gases and water levels in sewage, we can ensure that our sewage treatment plants are operating safely and efficiently, and that our communities are protected from the harmful effects of pollutants and other harmful substances in wastewater.

II. ARDUINO UNO

It's fourteen digital input/output pins (of that half-dozen will be used as PWM outputs), half-dozen analog inputs, a sixteen-rate ceramic resonator (CSTCE16M0V53-R0), a USB affiliation, an influence jack, associate ICSP header and a push button. It contains everything required to support the microcontroller; merely connect it to a laptop with a USB cable or power it with a AC-to-DC adapter or battery to urge started. you'll tinker together with your Uno without concern an excessive amount of regarding doing one thing wrong, worst-case situation you'll replace the chip for some bucks and begin another time. "Uno" suggests that one in Italian and was chosen to mark the discharge of Arduino software package (IDE) one.0. The Uno board and version one.0 of Arduino software package (IDE) were the reference versions of Arduino, currently evolved to newer releases.

X. FUTURE SCOPE

In future to use this device on city scale each such device can be placed in the sewage and the sewage could be monitored with help of IOT real time analysis could be done. The smart sewage system that we have developed using an Arduino Uno microcontroller and various sensors has the potential to revolutionize the way sewage is managed in urban environments. However, there are still several areas where this technology can be improved and expanded in the future. One area for future development is the integration of artificial intelligence and machine learning algorithms into the system. By using these advanced technologies, we can not only detect toxic gases and water levels in sewage, but also predict potential issues before they occur. This will allow us to take proactive measures to prevent sewage overflows and other problems, leading to even greater efficiency and cost savings. Another area for future development is the use of alternative energy sources to power the system. Currently, the system relies on electricity from the grid, which can be unreliable and expensive in certain areas.

By integrating solar panels or other renewable energy sources, we can reduce the reliance on the grid and make the system more sustainable and cost-effective. Finally, the data collected by the smart sewage system can be analysed and used to inform policy and decision-making related to sewage management. For example, by analysing trends in water usage and sewage generation, city planners can make more informed decisions about the location and size of sewage treatment plants, leading to more efficient and effective management of sewage in urban environments. Overall, the smart sewage system that we have developed represents a significant step forward in sewage management technology, and has the potential to improve the quality of life for people living in urban areas around the world. With further development and expansion, this technology can become an even more powerful tool for managing and protecting our precious water resources.

Conclusion

The goal of this project is to provide a methodology to check harmful release of gaseous materials in areas includes in the drainage system, in social housing and industrial facilities. Sewage also contributes to the natural process of producing poisonous gases. When inhaled foe a significant period of time, these gases can be harmful and if high does are absorbed in the bloodstream, it may lead to serious illnesses in the work force. Drainage system indicates the presence of gases, namely sulphur dioxide and carbon, ammonia, nitrogen dioxide, carbon dioxide and carbon monoxide. Therefore, these toxic gases are hazardous and sometimes lead to their death, particularly for sewage workers and cleaners. Hence, an IOT- based monitoring system is being introduced programs suggested manual sampling for the sewer gas analysis at defined time intervals. Many variables such as humidity, temperature and generation of live videos were not considered.

References

[1] Pendharkar, Anushka & Chillapalli, Jyothi & Dhakate, Kanksha & Gogoi, Subhalaxmi & Jadhav, Yogesh. (2020). IoT based Sewage Monitoring System. SSRN Electronic Journal. 10.2139/ssrn.3697395. [2] Smart System for Hazardous Gases Detection and Alert System using Internet of Things (R. Ganesh, M. Mahaboob, Janarthanan An, Lakshman C, Poonthamilan S, K. Kumar) [3] https://docs.arduino.cc/hardware/uno-rev3 [4] https://en.wikipedia.org/wiki/NodeMCU [5] https://www.elprocus.com/mq4-methane-gas-sensor/ [6] https://www.elprocus.com/a-brief-on-dht11-sensor/ [7] https://www.sparkfun.com/datasheets/Sensors/Biometric/MQ-7.pdf

Copyright

Copyright © 2023 Anchal Pandey, Huzaifa Rashid, Kartikeya Tiwari, Vedangi Sahu, Dharmesh Kumar. 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.