Real-time Data Monitoring and Decision Making System

Abstract

This thesis introduces a Real-Time Data Monitoring and Decision Support System designed specifically for hydroelectric power plants. By harnessing sensor APIs deployed throughout the facility, the system collects, analyses, and presents data in real-time. Through an intuitive dashboard interface, plant operators gain invaluable insights into operational metrics, empowering them to make well-informed decisions promptly. The system's incorporation of advanced analytics enables predictive maintenance, fault detection, and anomaly identification, thereby optimizing operational efficiency and reliability. This research marks a significant advancement in data-driven solutions for hydroelectric power generation, providing a practical and adaptable framework for real-time monitoring and decision support.