Development and application of virtual nuclear power plant in digital society environment

Wu, Yican

doi:10.1002/er.4378

Cited by 24 publications

(11 citation statements)

References 24 publications

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“…We agree with the publication [3], stating that although nuclear energy has created a new round in the history of human development, three large-scale nuclear accidents (Three Mile Island, Chernobyl, Fukushima Daiichi) caused global change leading to significant radioactive contamination, damage of natural and agro-ecological systems and public health. Therefore, safety is a necessary condition for the development of nuclear energy [2,3].…”

Section: Introductionmentioning

confidence: 58%

Immersive technology for training and professional development of nuclear power plants personnel

Popov¹,

Іatsyshyn²,

Ковач³

et al. 2021

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Training and professional development of nuclear power plant personnel are essential components of the atomic energy industry’s successful performance. The rapid growth of virtual reality (VR) and augmented reality (AR) technologies allowed to expand their scope and caused the need for various studies and experiments in terms of their application and effectiveness. Therefore, this publication studies the peculiarities of the application of VR and AR technologies for the training and professional development of personnel of nuclear power plants. The research and experiments on various aspects of VR and AR applications for specialists’ training in multiple fields have recently started. The analysis of international experience regarding the technologies application has shown that powerful companies and large companies have long used VR and AR in the industries they function. The paper analyzes the examples and trends of the application of VR technologies for nuclear power plants. It is determined that VR and AR’s economic efficiency for atomic power plants is achieved by eliminating design errors before starting the construction phase; reducing the cost and time expenditures for staff travel and staff training; increasing industrial safety, and increasing management efficiency. VR and AR technologies for nuclear power plants are successfully used in the following areas: modeling various atomic energy processes; construction of nuclear power plants; staff training and development; operation, repair, and maintenance of nuclear power plant equipment; presentation of activities and equipment. Peculiarities of application of VR and AR technologies for training of future specialists and advanced training of nuclear power plant personnel are analyzed. Staff training and professional development using VR and AR technologies take place in close to real-world conditions that are safe for participants and equipment. Applying VR and AR at nuclear power plants can increase efficiency: to work out the order of actions in the emergency mode; to optimize the temporary cost of urgent repairs; to test of dismantling/installation of elements of the equipment; to identify weaknesses in the work of individual pieces of equipment and the working complex as a whole. The trends in the application of VR and AR technologies for the popularization of professions in nuclear energy among children and youth are outlined. Due to VR and AR technologies, the issues of “nuclear energy safety” have gained new importance both for the personnel of nuclear power plants and for the training of future specialists in the energy sector. Using VR and AR to acquaint children and young people with atomic energy in a playful way, it becomes possible to inform about the peculiarities of the nuclear industry’s functioning and increase industry professions’ prestige.

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Section: Introductionmentioning

confidence: 58%

Immersive technology for training and professional development of nuclear power plants personnel

Popov¹,

Іatsyshyn²,

Ковач³

et al. 2021

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show abstract

“…Operation guides for NPP controls Virtual operator training [13]; Path planning and maintenance guiding simulation [14]; Refueling plant training [15]; Virtual roaming simulation and organ dose evaluation [16] Emergency handling in an NPP Seismic analysis of an NPP [17,18]; Emergency path planning [19]; Security simulation [20]; Egress simulation [21] Reference models for NPP construction Conical roof lifting for an NPP [22]; Reactor modeling [23] As shown in Table 1, most of the virtual applications in an NPP are classified into three fields: operation guides, reference models for constructions, and emergency handling. However, the ergonomic research studies using virtual applications have been immature in the nuclear power field.…”

Section: Virtual Model Application Area Research Studies and Systemsmentioning

confidence: 99%

Virtual Reality-Based Ergonomic Modeling and Evaluation Framework for Nuclear Power Plant Operation and Control

Lee

Chang

2019

Sustainability

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The purpose of this study is to introduce a new and efficient virtual model-based ergonomic simulation framework utilizing recent anthropometric data for a digitalized main control room in an advanced nuclear power plant. The system interface of the main control room has been undergoing digitalization via various information and control consoles. Console operators often face human–computer interactive problems due to inappropriate console design. Computational models with a process of visual perception and variables of anthropometric data are developed for designing and evaluating operator consoles with the requirements of human factor guidelines. From the 3D computational model and simulation application, console dimensions and a designing test module, which would be used for designing suitable consoles with safety concerns in a nuclear plant, are proposed. To efficiently carry out console design and evaluation feedback, an intelligent design review system comprising a virtual modeling and simulation framework is developed. The proposed automated and virtual design review system provides console design efficiency and evaluation effectiveness. This study may influence methods of employing suitable design concepts with various anthropometric data in many areas with safety concerns and may show a feasible solution to designing and evaluating the main control room.

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“…The energy production is required to meet the world's increasing electricity needs with the continually global population growing, and nuclear power is an important part of clean energy solutions . The latest advances in nuclear energy have led to the interests of miniaturization and modularization of Gen IV nuclear reactor.…”

Section: Introductionmentioning

confidence: 99%

“…However, with the continuous development of computer, sensor and nuclear reactor technology, the modern nuclear systems have shown a new trend of large‐scale, complex and distributed . The operation samples, which reflect the reactor operation mechanism and the status, show the big‐data characteristics—the uncertainty properties, multi‐source heterogeneous and the low‐density value, making traditional data‐driven fault diagnosis method cannot accommodate to the requirements under the new nuclear‐big‐data era.…”

Section: Introductionmentioning

confidence: 99%

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

et al. 2020

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In nuclear energy production, with the continuous innovations and challenges in the big data and the industry 4.0 era, to guarantee the operation safety without the fault and failure will become more complex and intelligent. In this paper, a novel optimized convolutional neural network with small-batch-size processing (SCNN) was proposed and assembled in the nuclear fault diagnosis system. Eleven kinds of normal and fault conditions that include the whole 316 simulator sensor features were used to evaluate the performance of the proposed diagnosis system. The application of batch normalization with SCNN significantly optimized the model validation accuracy and loss under 100 epochs compared with normal operation and adding drop-out operation in same condition. Besides, outstanding diagnosis accuracy was highlighted by the comparison of traditional binary and multiple classification methods. This proposed diagnosis system has achieved more precise diagnosis accuracy and will provide the useful guidance to operators, assisting them to make accurate and rapid decision to ensure nuclear energy production safety. K E Y W O R D Sconvolution layer visualization, convolutional neural network, deep learning, fault diagnosis, nuclear energy production, small-batch-size processing

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Development and application of virtual nuclear power plant in digital society environment

Cited by 24 publications

References 24 publications

Immersive technology for training and professional development of nuclear power plants personnel

Immersive technology for training and professional development of nuclear power plants personnel

Virtual Reality-Based Ergonomic Modeling and Evaluation Framework for Nuclear Power Plant Operation and Control

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

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