Real-Time Sensor Data Optimization: A Polynomial Algorithm Approach for IoT Power Plant Sample Dashboard
Abstract
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.
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