Build of information management system by using RFID in Nuclear Power Plant

The implementation of advanced information technology for nuclear power plant construction industry in the Republic of Korea is a challenging task to improve the competitive edge for APR1400 across the global nuclear business market. This paper will briefly describe the phases of development of an information management system (hereinafter IMS) in nuclear power construction during the last 40 years in Korea. Additional development task which strengthen the IMS capability will be described from our experience. It will analyze the IMS development and implementation stages for Korean nuclear power plant construction projects such as YGN 3&4, UCN 3&4, YGN 5&6 and UCN 5&6, and the successful application case of the UCN 5&6 Radwaste Building in which 3D CAD technology was implemented for the first time. By reviewing lessons learned, this paper will define the Information Technology advancements resulting the reduction of project costs and construction schedule both by project execution procedures and IT systems including 3D CAD application. The future plan will include integrating project management systems based on data-centric approach and handover strategy for better O&M phase through configuration management technology. In this report, we address the functions to be developed and added in the new IMS.

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Developing and Implementing Ai-Based Classifier for Requirements Engineering

Journal of Nuclear Engineering and Radiation Science ◽

10.1115/1.4049722 ◽

2021 ◽

Author(s):

Santeri Myllynen ◽

Ilpo Suominen ◽

Tapani Raunio ◽

Rasmus Karell ◽

Jussi Lahtinen

Keyword(s):

Power Plant ◽

Nuclear Power Plant ◽

Requirements Engineering ◽

Language Processing ◽

Management System ◽

Nuclear Power ◽

Requirements Management ◽

Related System ◽

Data Comparison

Abstract In nuclear power plant projects, requirements engineering manages the sheer volume of requirements, typically characterized by descriptive and non-harmonized requirements. Large projects may have tens of thousands to hundreds of thousands of requirements to be managed and fulfilled. There are two main issues impeding requirements analysis; tortuous requirements to be interpreted, and humans' very limited ability to concentrate on a specific task. Therefore, it has been recognized that artificial intelligence (AI) algorithms could have potential to support designers' decision-making in classifying and allocating nuclear power plant requirements. This paper presents our work on developing an AI-based requirements classifier utilizing natural language processing (NLP) and its integration with the requirements management system. The focus is on the classification of nuclear power industry-specific requirements utilizing deep learning-based NLP. Three classifiers are compared with each other and the corresponding results are presented. The results include predetermined requirement classes, manually gathered and classified data, comparison of three models and their classification accuracies, microservice system architecture and integration of the established classifier with the requirements management system. As the performance of the requirements classifier and related system has been successfully demonstrated, future AI-specific development and studies are suggested to focus on atomizing multi-class requirements, combining similar requirements into one, checking requirements syntax and utilizing unsupervised learning for clustering. Furthermore, new and advantageous requirement classes and hierarchies are suggested to be developed while also improving current datasets both quantitatively and qualitatively.

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Developing Software Configuration Management System for Digital Instrumentation and Control (DI&C) System of Nuclear Power Plant

18th International Conference on Nuclear Engineering: Volume 1 ◽

10.1115/icone18-29102 ◽

2010 ◽

Author(s):

I-Hsin Chou ◽

Hsueh-Wei Hsiao ◽

Che-An Chang

Keyword(s):

Power Plant ◽

Nuclear Power Plant ◽

Management System ◽

Nuclear Power ◽

Configuration Management ◽

Software Configuration Management ◽

Software Products ◽

Software Configuration ◽

Digital Instrumentation ◽

And Control

As Nuclear Power Plant (NPP) adopted software-based Digital Instrumentation and Control (DI&C) System, the Software Configuration Management (SCM) is becoming more and more important for NPP. The main reason is the inherent changeability and invisibility which of software often causes unpredictable problems and results are difficult to manage. In addition, the DI&C system has always been constructed by multiple vendors and each vendor of the DI&C has its own development artifacts. Therefore, it is great challenge for NPP staff to maintain the consistency and integrity of software Configuration Items (CI) among multiple vendors. The software CIs include software products delivered to customers and items required to create the software products such as software design document, source code, database, test report, compiler, etc. In general, Software Configuration Management System (SCMS) is usually developed to support SCM activities, such as storing CI, controlling change, and accounting and auditing throughout the entire software lifecycle. However, most existing file-based SCMS typically deal with those artifacts of individual files without providing the more detailed configuration and change information among CIs. Based on the nuclear SCM related regulations, this paper proposes a developing SCMS for the DI&C system of a NPP. Its main goal is to meet the regulatory requirements, and enhance the visibility, tractability and integrate ability to manage the heterogeneous subsystems within the DI&C system. This paper provides the more detailed descriptions about regulation requirements analysis, system design and the development process. Finally, a prototype system is presented.

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Study on Life Cycle Management System for Main condensers in Nuclear Power Plant

E3S Web of Conferences ◽

10.1051/e3sconf/202125202075 ◽

2021 ◽

Vol 252 ◽

pp. 02075

Author(s):

Yang Jie ◽

Yuan Liang ◽

Yang Wu ◽

Qin Qiang

Keyword(s):

Life Cycle ◽

Power Plant ◽

Nuclear Power Plant ◽

Management System ◽

Nuclear Power ◽

Management Practices ◽

Life Cycle Management ◽

Daya Bay ◽

Commercial Operation

Daya Bay Nuclear Power Plant has been running for above 20 years. main condensers have begun to run during the commissioning phase before the official commercial operation, so it is imminent to carry out the life cycle management of main condensers combined with demonstration of the operation license extended to 60 years. A life cycle management system for main condensers in nuclear power plant is established in this paper, which is applied to management practices of Daya Bay Nuclear Power Plant.

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