Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24–26, 2024, Jinan, China

Research Article

Generation and Management of Data inventory for Critical Sensitive Equipment in Nuclear Power Systems

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  • @INPROCEEDINGS{10.4108/eai.24-5-2024.2350188,
        author={Shanhong  He and Tian  Wan and Yahui  Yang and Xiaolong  Jiang and Lihong  Tang},
        title={Generation and Management of Data inventory for Critical Sensitive Equipment in Nuclear Power Systems},
        proceedings={Proceedings of the 3rd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2024, May 24--26, 2024, Jinan, China},
        publisher={EAI},
        proceedings_a={MSEA},
        year={2024},
        month={10},
        keywords={data inventory nuclear power systems data resource management digital transformation},
        doi={10.4108/eai.24-5-2024.2350188}
    }
    
  • Shanhong He
    Tian Wan
    Yahui Yang
    Xiaolong Jiang
    Lihong Tang
    Year: 2024
    Generation and Management of Data inventory for Critical Sensitive Equipment in Nuclear Power Systems
    MSEA
    EAI
    DOI: 10.4108/eai.24-5-2024.2350188
Shanhong He1,*, Tian Wan1, Yahui Yang1, Xiaolong Jiang1, Lihong Tang1
  • 1: Suzhou Nuclear Power Research Institute Co,ltd, 215000, Suzhou, China
*Contact email: szhesh@hotmail.com

Abstract

The importance of creating thorough data inventories for critical and sensitive equipment within nuclear power systems is highlighted by the industry's stringent requirements for safety, reliability, and overall integrity. The need for such inventories arises from the significant risks and costs associated with even minor malfunctions, emphasizing the value of a comprehensive management strategy that includes every stage from acquisition to design, manufacturing, and upkeep. The intricate nature of the varied and dissimilar data involved calls for an advanced integration plan to ensure consistent performance in different operational contexts. This paper introduces a novel method designed to boost the quality, protection, and usefulness of data to support decision-making and foster innovation in nuclear power plants. By optimizing the way data is handled, this strategy greatly facilitates operational effectiveness, bolstering nuclear safety, and driving technological progress. This streamlined strategy highlights the essential merging of digital and industrial technologies to create a more secure and productive nuclear energy environment.