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

Authors

  • Emad Zargoun Author
  • Marwa Salih Abu Ishnaf Author

DOI:

https://doi.org/10.58916/jhas.v9iالخاص.335

Keywords:

((IoT), sensors, real-time data, dashboard, monitoring, management, control panel, visualization, anomaly detection, alert system, proactive decision-making

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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Published

2024-09-07

How to Cite

Emad Zargoun, & Marwa Salih Abu Ishnaf. (2024). Real-Time Sensor Data Optimization: A Polynomial Algorithm Approach for IoT Power Plant Sample Dashboard. Bani Waleed University Journal of Humanities and Applied Sciences, 9(خاص بالمؤتمر الثالث للعلوم والهندسة), 86-94. https://doi.org/10.58916/jhas.v9iالخاص.335

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