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

المؤلفون

  • Emad Zargoun مؤلف
  • Marwa Salih Abu Ishnaf مؤلف

DOI:

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

الكلمات المفتاحية:

الانجليزية

الملخص

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.

التنزيلات

تنزيل البيانات ليس متاحًا بعد.

التنزيلات

منشور

2024-09-07

كيفية الاقتباس

Emad Zargoun, & Marwa Salih Abu Ishnaf. (2024). Real-Time Sensor Data Optimization: A Polynomial Algorithm Approach for IoT Power Plant Sample Dashboard. مجلة جامعة بني وليد للعلوم الإنسانية والتطبيقية, 9(خاص بالمؤتمر الثالث للعلوم والهندسة), 86-94. https://doi.org/10.58916/jhas.v9iالخاص.335

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