علی دهقان چاه عربی - دانشجو کارشناسی مهندسی فناوری شبکه های انتقال برق دانشگاه آزاد اسلامی جم، بوشهر، ایران

Nuclear power plants represent the pinnacle of technological sophistication in the energy sector, where precise management of complex systems is crucial for operational efficiency and safety. This paper explores the design, development, and implementation of an intelligent robot specifically tailored for managing software systems in nuclear power plants. The aim is to address the need for high accuracy, robust security measures, and enhanced operational efficiency through integrating advanced technologies such as Machine Learning (ML), Artificial Intelligence (AI), and the Internet of Things (IoT). The paper presents a comprehensive framework that includes protocols, standards, algorithmic structures, and future perspectives for deploying intelligent robots in the nuclear industry. Additionally, it examines the current software systems employed in these facilities, highlighting their strengths and areas for improvement. By leveraging cutting-edge technologies, the proposed intelligent robot framework seeks to enhance the reliability, safety, and efficiency of nuclear power plant operations, ensuring they meet the highest standards of technological and operational excellence.

Nuclear Power Plants, Intelligent Robots, Software Management, Machine Learning, Artificial Intelligence.