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IOT BASED SYSTEM FOR DETECTION OF SEWAGE BLOCKAGES

In smart cities, the Internet of Things(IoT) is a key aspect providing seamless and unique access to public resources, with the aim of achieving better utilization and optimization of power, water and transportation facilities. Today urban India is faced with a water crisis, about 80% of sewage enters lakes, rivers and groundwater untreated, due to the lack of effective wastewater infrastructure management. This research focuses mainly on monitoring of sewage infrastructure, to predict blockages, preventing them from turning into Sanitary Sewer Overflows (SSO). This paper proposes an IoT based full-fledged system to tackle this issue. The system monitors the working of access manholes in a network, collecting multiple data parameters, generated in and around these manholes, and sends alerts when the development of a blockage is detected. This geospatial data along with the alerts are observed via a centralized visual dashboard. Through this system, the objectives that the paper proposes to achieve, are generation of dynamic geo-spatial map of manhole networks, enabling the stakeholders to perform proactive maintenance of this infrastructure. Another goal of this work is to generate a data set for developing machine learning models for advanced maintenance methods.