Open AccessSimulation of Smart Water Quality Monitoring Device
Author(s) -
Mrs. Nidhi Mishra,
AUTHOR_ID,
Prof. Sanjay Mohite,
AUTHOR_ID
Publication year - 2022
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d3414.0411422
Subject(s) - arduino , water quality , microcontroller , environmental science , process engineering , quality (philosophy) , computer science , water supply , chlorine , contamination , environmental engineering , engineering , embedded system , materials science , ecology , philosophy , epistemology , metallurgy , biology
Water contamination is one of the primary concerns for green globalization. Environmental monitoring is a fascinating system that has become increasingly important in 21st-century human life. To ensure a safe supply of drinking water and other water-related activities, water quality must be monitored in real time. This paper depicts a stage progression and plan for a small amount of effort. This research makes use of the Arduino Uno microcontroller, as well as a variety of sensors connected to the platform. The device, which is made up of a number of sensors, is used to determine the physical and chemical properties of water in various locations. Water quality factors such as pH, temperature, and Chlorine can be calculated. When estimated values were compared to W.H.O. standards, it was discovered that a cost-effective device for water quality management was required. In this paper we are trying to measure pH value for drinking water, temperature and chlorine content with the help of ORP sensor through simulation and then compared to standard value given by WHO. In this research paper our aim is to develop a system to evaluate the water quality based on simulation. Using a sensor we can collect data on various water quality parameters with minor variations. Following that, we can perform the necessary qualitative comparisons. It has also proven to be an effective tool for determining the impact of contaminated water. It is a effective tool for comparing data. Here we have used only three sensors pH , Temperature sensor and ORP sensor.