An Intelligent Stabilized Smart Sewage Treatment Plant (STP)

Abstract

Economic sustainability is the future of the smart cities. The developing countries are in the urge of evolving smart electricity, health, infrastructure, water treatment plants etc. but researchers are facing challenges in developing a cost-effective and high-performance system. This study represents an effective approach towards the full automation of the STP (Sewage Treatment Plant) by integrating micro- controllers and sensors to a web application to indicate the sewage water levels in the water plant with secured Cloud Firebase. The automated model will work non-stop with high efficiency. It increases throughput of the treatment system with real-time monitoring of vital information (PH level, Water Level, Sludge Level) to produce good results. It also improves quality or increased predictability in quality of outlet water