Experimental Evaluation of an Internet of Things Powered Sewage Gas Monitoring and Reporting System using Artificial Intelligence Strategy

In order to warn employees of dangerous gas levels in real time, this article intends to provide a mechanism for doing just that. The goal of this project is to develop an Internet of Things (IoT) system that can identify gas mixtures, monitor the levels of individual gases in real time, and record any dynamic changes in the aforementioned variables. Data about gas levels is sent to Firebase. If the levels rise over a certain point, it will notify the authorized individuals working remotely through their linked mobile devices. Officials can be notified by SMS message if the sewage is likely to overflow. This study developed a novel approach called the Internet of Things Powered Sewage Gas Monitor (IoTSGM) that utilizes the association of Artificial Intelligence (AI) and the Internet of Things (IoT). In order to determine how effective the suggested scheme is, this approach is compared to the traditional one, the Sensors based Sewage Gas Monitor (SSGM). A number of sensors in this system may detect harmful gasses, the amount of water in the manhole containing the sewage, and a worker-worn sensor that can monitor their surroundings. When it hits a specific mark, it notifies the proper authorities and the hospital of its whereabouts by GPS. For the purpose of monitoring, an android app was created and connected with the planned system.