Raspberry Pi based Smart Sensing Platform for Drinking Water Quality Monitoring System: A Python Framework Approach

Abstract

<p><strong>Abstract.</strong> Drinking or potable water quality monitoring is essential for mankind as it affects the human health directly or indirectly. This work reports a smart sensing platform for potable water quality monitoring. Five water quality parameters (pH, Dissolved Oxygen, Oxidation Reduction Potential, Electrical Conductivity, and Temperature) have been selected to monitor the water quality. The selection of water quality parameters is made based on guidelines of the Central Pollution and Control Board, New Delhi, India. A Graphical User Interface (GUI) is developed to provide an interactive Human Machine Interface for the end user. Python programming language is used for GUI development, data acquisition and for data analysis. Fuzzy computing technique is employed for decision making to categorize the water quality in different classes like bad, poor, satisfactory, good and excellent. The system has been tested for various water resources and results have been displayed.</p>

Pengembangan Human Machine Interface (HMI) pada Simulator Sortir Bola sebagai Media Pembelajaran Otomasi Industri

“…Beberapa trainer menggunakan produk dari produsen produk otomasi seperti Siemens [9], Schneider [10] dan Omron [11]. Trainer lain dirancang dan dibangun mandiri menggunakan Arduino [12] dan Raspberry Pi dengan GUI HMI yang dikembangkan dengan bahasa pemrograman Python [13].…”