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IoT-enabled water monitoring and control for smart city

In a world when resources of living are scarce, urban people are suffering from a crisis of potable drinking water. The massive increase and concentration of human population in urban areas are liable for consumption of the vast majority of resources. Therefore it is highly pertinent to make cities greener and more sustainable. Advanced systems developed to improve and automate processes within a city will play a leading role in smart cities. From the intelligent design of buildings, which capture and harvest rainwater for future use, to smart control systems, which can monitor infrastructures autonomously, the possible improvements enabled by sensing technologies are of utmost importance. Internet of things (IoT)-enabled sensing and control poses numerous challenges, which are of a technological and social nature. The IoT solutions of smart water can help water utilities to coordinate analysis of supply and demand to provide smooth control actions across large numbers of distributed smart assets to monitor and deliver optimized performance to entire water production and distribution network. This ensures minimum water loss, assured water quality and quantity to every consumer. It is an excellent challenge in technology, and IoT-enabled smart assets will play a vital role towards the solution. The plugin Internet interface modules are developed to convert existing sensor and actuator system for secure and speedier communication of data to the central decision system either situated in the plant or in a cloud. All smart devices for water monitoring systems are M2M enabled and can share information directly or through the central system. The smart water solution technology is applicable for improvement of overall performance, quality and reliability of water and wastewater treatment and distribution system. The topic includes remote-based pipe monitoring and leak detection system to minimize nonrevenue water and to restore water supply in 24×7 manners with active operational management in damaged assets.