Water Motor and Water Quality Management Using Wifi and Blynk App

Autor: Sahil Ahmed, Syed Abdul Khaleel, Mohammed Mubarak, Prof. Pushpa T
Rok vydání: 2022
Zdroj: International Journal for Research in Applied Science and Engineering Technology. 10:138-141
ISSN: 2321-9653
Popis: As population is bound to expand and water is being used at the utmost level of exploitation, groundwater level is diminishing rapidly, the planet might face water emergency soon. India is an agrarian country, farmers rely upon groundwater, however to their needs and satisfaction the predictability of rainfall and a suitable weather is quite flawed. So they are compelled to dig borewells to a prominent depth and conclusively rely upon it. Larger part of individuals living in metropolitan regions are subjected to borewells as there could be no other option for water. The progressions in innovation like Internet of Things, Cloud computing, Big Data, Internet facility can be utilized to plan a framework to screen these gigantic significant borewells to beat impediments like low quality drinking water, expanded labor prerequisites, irreversible harm caused to inadequately checked public motors. Plan and advancement of checking pH, turbidity in the water and observing motor temperature and momentum in borewells would be of extraordinary use. Additionally borewells are not midway checked prompting sudden breakdown of the motor. Borewells are the indispensable source of water for individuals in a large portion of the towns and practically all urban areas to achieve their essential prerequisites of a day. The framework has two sensors for to be specific turbidity and pH sensor to check water quality and temperature sensor and current sensor for motor monitoring, Ardunio model and , Single microcontroller chip, a wifi chip, MpH sensor, is utilized to send the information of different borewells to a solitary unit. Subsequently by this framework it is feasible to monitor n number of borewells in a municipality somewhat in one mobile application Keywords: M pH sensor, Turbidity sensor, Temperature sensor, Flow sensor, Ardurino model, WI-FI module.
Databáze: OpenAIRE