Publication Type : Book Chapter
Publisher : Springer Nature Singapore
Source : Lecture Notes in Networks and Systems
Url : https://doi.org/10.1007/978-981-99-6586-1_24
Campus : Bengaluru
School : School of Computing
Year : 2023
Abstract : As the global population grows and water resources become scarce, the only way to effectively conserve and utilise them is by adequately treating and reusing them. In Sewage Treatment Plants, ensuring a safe gaseous environment for the worker’s health is essential. Exposure to toxic gases for a long duration may cause health issues for workers. It is essential to understand these factors and take necessary precautions to prevent further deterioration of their health. In this work, we aim to develop a sensor-based system that measures the intensity levels of toxic gases like Methane, Ammonia, Carbon dioxide, and Hydrogen Sulphide emitted from the plant and spread to its environment and to alert at the right time to safeguard the humans around. We compared these gas levels with data captured in good air to demonstrate the high density of the toxic gases in the plant.
Cite this Research Publication : S. Ullas, B. Uma Maheswari, IoT-Based Solution for Monitoring Gas Emission in Sewage Treatment Plant to Prevent Human Health Hazards, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-99-6586-1_24