An Innovative Raspberry Pi-Based Smart Voltage Monitoring System: Real- Time Data Analytics and Dynamic Visualization for Enhance Power Quality Intelligence

Researchers

ALLAN A. SANDOVAL

Abstract

This system exemplifies Industry 5.0 principles by merging affordable smart technology with human-centered design to foster resilient and sustainable power management in evolving industrial ecosystems. The study develops an advanced high-voltage monitoring system integrating real-time data visualization to enhance electrical monitoring accuracy, user engagement, and decision-making through instant feedback. Utilizing a Raspberry Pi for continuous data acquisition and processing, the system features an intuitive graphical interface displaying live voltage metrics. Development encompassed hardware sensor integration and software analytics for dynamic visualization. Performance was evaluated via a structured questionnaire administered to users and domain experts, assessing functionality, usability, reliability, and effectiveness. Results yielded a Very Satisfactory aggregate mean rating of 4.22 from users, with experts affirming the system\'s quality and operational integrity. Findings confirm that real-time visualization significantly improves user experience, measurement accuracy, and responsiveness in both residential and industrial settings. The system outperforms conventional monitoring tools in intuitiveness and reliability, establishing itself as a cost- effective, scalable solution for modern power quality management. 


 

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