Real-Time IoT-Based 2-Node Electrical Parameter Measurement and Centralized Visualization System

2026-10-16T04:50:09+00:00

Real-time monitoring of energy consumption is important for reducing energy wastage and identifying abnormal electrical conditions at an early stage. Conventional energy monitoring methods often require manual observation and provide limited information about energy usage. This research presents an IoT-Based 2-Node Electrical Parameter Measurement and Centralized Visualization System for continuous monitoring of electrical parameters. The proposed system measures voltage, current, power, energy consumption, and temperature using sensors and processes the acquired data through a microcontroller. The measured parameters are displayed locally on a TFT display and transmitted through an IoT module to a centralized monitoring unit, enabling electrical parameters from multiple locations to be monitored at a single point. This multi-node approach provides real-time measurement, visualization, and automatic data transmission, reducing the need for manual monitoring. The experimental results demonstrate that the system can continuously monitor electrical usage and identify abnormal variations such as sudden changes and overload conditions. The proposed system can be applied in educational institutions, laboratories, industrial facilities, offices, and other energy-consuming environments. Future development can include cloud-based data storage, historical energy analysis, automated fault alerts, advanced energy-management features, and expansion to additional monitoring nodes for larger-scale energy monitoring applications.

Design and Performance Evaluation of a Low-Cost Arduino-Based Automatic Floor Cleaning Robot with Multi-Sensor Obstacle Avoidance

2026-10-08T05:24:03+00:00

This study describes the design, fabrication, and laboratory evaluation of a compact, low-cost floor cleaning robot built around an Arduino Uno (ATmega328P) microcontroller. The machine combines three cleaning actions — dry sweeping with a roller brush, vacuum suction, and a wet mopping pass fed by a small peristaltic pump — and it navigates cluttered indoor spaces using three HC-SR04 ultrasonic sensors together with infrared cliff detectors. A simple reflex-based control algorithm handles obstacle avoidance, edge detection, and tank monitoring without requiring any map of the environment. A bench prototype was assembled for roughly USD 68 in parts and tested on five common floor surfaces in a 25 m² instrumented room. In repeated trials, the robot removed an average of 96.4% of a standard dust mixture from ceramic tile in a single dry pass, responded to obstacles in 0.62 s on average (well inside the 1.0 s safety budget), and covered about 98% of the test area in 45 minutes while consuming 66% of its battery charge. The results suggest that carefully integrated commodity hardware can deliver cleaning performance that approaches entry-level commercial units at a fraction of their cost. All measured data reported here are illustrative results from a bench prototype and are intended as a model experimental framework.

Journal of Microprocessor and Microcontroller Research

Real-Time IoT-Based 2-Node Electrical Parameter Measurement and Centralized Visualization System

Design and Performance Evaluation of a Low-Cost Arduino-Based Automatic Floor Cleaning Robot with Multi-Sensor Obstacle Avoidance