Overview

Management of water uses requests to harmonize demands and needs which are getting more and more complex and sophisticated especially with the growing urbanization. Dhaka, capital of Bangladesh requests a larger number of services for their inhabitants and expect, at the same time, to limit investments in order to constrain the tax pressure.

Challenge

Hence the need of optimization appears at various levels and request the widespread of monitoring strategies. In parallel and during the past the decades, modelling systems for hydrology, hydraulics, and water quality have been used as stand-alone products and were used in order to produce an analysis of a current situation and to generate forecast according to different horizons.

 

The current situation, characterized by the fast increase of monitoring devices mainly in the urban environments, requests an integration of the modelling tools into Information Systems (IS) that are now dedicated to the global management of urban environments and related services.

Solution

Hydro-metric Decisions Supports Systems (DSSs) integrate the various components and operate in a sustainable perspective. The current demand is targeting classical monitoring outputs (real-time monitoring) and request forecasts based on models (analytics) and providing sufficient information for an efficient management.

 

So accordingly, we here have developed an Intelligent IoT based Water Quality Monitoring system which is based on M2M. The system here receives the input sensor where TOC, DOC, ORP, UV254, Turbidity, Chlorine, pH, Connectivity, Pressure connected. Where machine learning algorithm employed for predicting the Water Quality based on trained data set. The trained data set and predicted data are stored in Cloud server for access via their mobile phone. This has resulted in complete automated Water Quality Monitoring system employing IoT Technologies where devices communicate among themselves in predicting the Water Quality for residential area. This proves that the water quality can be monitored automatically with no human involvement.

Results

Water Quality monitoring is very much needed as it is consumed by residents. Traditional water Quality monitoring and some of the technology based Water Quality got lot of challenges. In addition there is no intelligence in existing water Quality Monitoring for analysis and prediction. Now with the advent of Machine to Machine communication (M2M) which involves devices to communicate among themselves in taking action and this can be deployed over large geographical area compared to small area as seen in previous system.