Automatic " Anti Water-Flooding " Supervisory System, Using Wireless Water-Level Sensors

Abstract

-Water is the major natural resource. In every day busy life of people to remember to switch of the water-tap in bathroom / washroom is very small task for them and everyone tend to ignore it. But at the same time, it is obligatory to save water even at every household and tap + bucket / sink /basin level. The aim of this research study is that the existing tap should interact with bucket via sensors and stop overflowing of water. This way not only water, but heat / electricity and individual human energies are banked and every individual will be part of global social initiative. This proposed " anti water flooding " idea can be extended further by acquiring water and power time series data. This acquired data can be analyzed further using machine learning concepts for decision making, predication of water utilization per household.