A full life cycle nuclear knowledge management framework based on digital system

Wang, Minglu; Zheng, Ming; Tian, Lin; Zhongming, Qiu; Li, Xiaoyan

doi:10.1016/j.anucene.2017.04.047

Cited by 18 publications

(4 citation statements)

References 4 publications

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“…For example, Jiangsu Nuclear Power Co., Ltd. proposed a conceptual model for the Jiangsu nuclear power master data lifecycle. Daya Bay Nuclear Power Operation and Management Co., Ltd. designed the master data classification management [8] and a knowledge management framework of the nuclear power plant lifecycle [9]. Although these studies provide insights on the management of design, procurement, and engineering data during the digital transformation of nuclear power plants, there is still a lack of overall planning and control for NPPLDM systems.…”

Section: Research Status Of Nuclear Power Plant Lifecycle Data Manage...mentioning

confidence: 99%

Lifecycle Data Management of Nuclear Power Plant: Framework System and Development Suggestions

Ren¹,

Yang²

2022

Chinese Journal of Engineering Science

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The amount of nuclear power plant data has grown exponentially and has become an important asset as a result of the digital and intelligent transformation of the nuclear industry. However, there is a lack of lifecycle data management systems for nuclear power plants. This paper summarizes the status of research on nuclear power plant lifecycle data management in China; analyzes the demands and challenges of nuclear power plant lifecycle data management; and constructs a data management framework around the lifecycle nodes and business flows of nuclear power plants. The major tasks in establishing a nuclear power plant lifecycle data management system include (1) promoting the comprehensive digitization of the nuclear power industry and unifying the nuclear power plant lifecycle data standards; (2) classifying lifecycle data according to data types and designing data models; and (3) formulating scientific data quality control policies and data quality measurement standards to ensure the security of the lifecycle data of nuclear power plants. Furthermore, the following recommendations are made. (1) A data integration platform should be established to catalog the items, business data, and three-dimensional simulation data of nuclear power plants to promote the interconnection of data across business systems. (2) Blockchain technology should be applied to nuclear power plant lifecycle data management to ensure the authenticity and traceability of the data. (3) Digital twins and model-based system engineering should be applied in nuclear power plant lifecycle data management to improve the level of intelligent development. (4) A green policy should be established for nuclear power plant data management to realize the low-carbon, efficient, and sustainable development of data centers.

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Section: Research Status Of Nuclear Power Plant Lifecycle Data Manage...mentioning

confidence: 99%

Lifecycle Data Management of Nuclear Power Plant: Framework System and Development Suggestions

Ren¹,

Yang²

2022

Chinese Journal of Engineering Science

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“…В связи с быстрой эволюцией современных информационных и коммуникационных технологий управление знаниями в ядерной отрасли приобретает новые драйверы развития в области генерации, передачи, обмена, использования инноваций в атомной отрасли. В работе (Wang M. et al, 2017) предлагается структура управления знаниями в ядерной энергетике на всем жизненном цикле АЭС с использованием цифровых технологий для создания высокоуровневой объектно-ориентированной рабочей среды, платформы интеграции автоматического проектирования и анализа, платформы цифровой динамической верификации и валидации, процедуры совместного производства, платформы цифрового строительства, онлайнмониторинга и управления конфигурацией. Предлагаемая структура позволит повысить эффективность процесса проектирования с точки зрения безопасности на всем сроке службы станции.…”

Section: перспективные направления исследований цифровизации ядерной энергетикиunclassified

Industry 4.0 in nuclear energy: economic efficiency of the digitalization of the industry

Allenykh¹

2020

Druk. Vest.

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The article examines the global trends in the development of digital technologies, formulates the factors and limitations of digitalization of the electric power industry in Russia. The directions of implementation of digital technologies in nuclear energy are considered: digital energy, digital nuclear power plants, digital products using Smart Grid technologies, Cyber security technology and cross-technologies (IoT, IIoT, Machine learning, 3D / 4D modeling, VR / AR / MR, BIM , Digital drone, Data mining, Digital twins and Digital footprint, Smart Big Data and others). The issues of assessing the economic efficiency of the implementation and use of digital technologies are considered.

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“…There has been no consensus among researchers regarding the definition of knowledge management. Based on our literature review, various researchers define knowledge management based on context, domain, and application [5]- [12]. However, one of the relatively comprehensive definitions defines knowledge management as a systematic process of acquiring, organizing, sustaining, applying, sharing, and renewing all forms of knowledge [13].…”

Section: Introductionmentioning

confidence: 99%

“…The definition shows that several processes were involved in the implementation of knowledge management, starting from the process of acquiring to the process of sharing and renewing the knowledge. On top of that, another critical aspect observed is the compulsory existence of the VOLUME XX, 2017 knowledge-sharing process in the implementation stages of knowledge management [5]- [12].…”

Section: Introductionmentioning

confidence: 99%

Ontology-Based Knowledge Management Tools for Knowledge Sharing in Organization—A Review

2022

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Knowledge management (KM) comprises several processes, and one of the most important is the knowledge sharing activities. The ability of an organization to manage its organizational knowledge, specifically in the context of knowledge sharing, may enhance the organization's overall performance. Various approaches and technologies have been introduced to assist the process in achieving that target. Ontology as one of the knowledge representation methods has been becoming popular to assist knowledge sharing in the organization. Previous reviews have mainly focused on general KM issues, with little emphasis on the use of ontology in knowledge sharing. Thus, this article presents a review of several ontology-based KM tools that can support knowledge-sharing activities to provide some insight into future research in this area. Thirteen ontology-based KM tools were reviewed using ten elements' comparison criteria: the motivation, domain, source of knowledge, type of knowledge, knowledge extraction, knowledge input process, knowledge retrieval process, knowledge sharing technology, source of ontology component, and ontology methodology. The review found that several elements can be further studied to improve KM implementation in the organization, especially on the knowledge sharing dimension. This includes simplifying the knowledge extraction and retrieval process to explore a diverse range of knowledge domains from implicit knowledge sources. The review's outcome also includes proposed components and functions of an ideal ontology-based KM tool.

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A full life cycle nuclear knowledge management framework based on digital system

Cited by 18 publications

References 4 publications

Lifecycle Data Management of Nuclear Power Plant: Framework System and Development Suggestions

Lifecycle Data Management of Nuclear Power Plant: Framework System and Development Suggestions

Industry 4.0 in nuclear energy: economic efficiency of the digitalization of the industry

Ontology-Based Knowledge Management Tools for Knowledge Sharing in Organization—A Review

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