Real-Time Sensor Data Optimization: A Polynomial Algorithm Approach for IoT Power Plant Sample Dashboard
DOI:
https://doi.org/10.58916/jhas.v9iالخاص.335Keywords:
((IoT), sensors, real-time data, dashboard, monitoring, management, control panel, visualization, anomaly detection, alert system, proactive decision-makingAbstract
The Internet of Things (IoT) revolutionizes technology by enabling seamless communication and data exchange among devices. This paper introduces the IoT Sensors Dashboard, a comprehensive software solution for supervising and managing IoT sensors in real-time. It simplifies data collection, configuration, and deployment across various locations. The integration of AI with IoT facilitates predictive maintenance and real-time monitoring, enhancing efficiency in power plants. Utilizing polynomial algorithms, the dashboard optimizes sensor data processing, improving predictive accuracy and decision-making. Experimental results demonstrate the system's effectiveness in monitoring and controlling temperature and gas levels, significantly enhancing power plant operations.