Research on Nuclear Safety Video Display Unit Technology Based on Digital Twin

Author(s):  
Yanqun Wu ◽  
Yang Zhao ◽  
Mingxing Liu ◽  
Wei Jiang ◽  
Qi Chen ◽  
...  

Abstract The nuclear safety video display unit (SVDU) in the nuclear safety level DCS implements functions such as displaying and warning of reactor safety related parameters and sending safety control instructions, which belongs to safety level 1 equipment. As a high-cost complex safety level display device, due to its high functional complexity, high security and reliability requirements, and special usage scenarios, its design, research, and function verification have always encountered problems such as low intelligence and low digitization, resulting in slow development process, complicated product function verification, and inconvenient use and training, etc. After the SVDU is put into practical use, continuous analysis of its stability, reliability, and safety, and its health status monitoring and maintenance are also difficult technical problems. Based on the five-dimensional digital twin model as a design benchmark, a digital twin-based design method for SVDU is proposed. Taking the SVDU in a nuclear safety level DCS (NASPIC) as the object, the digital twin technology is adopted to model the physical objects such as display unit, human-machine interface unit, storage unit and communication network unit, and the high-speed industrial Ethernet network is used to map and interconnect the data between the components, so as to realize the physical fusion, model fusion and data fusion of the real SVDU and the virtual SVDU. With the help of data feedback from safety level DCS, the data, symbol display and control process of SVDU can be visualized and analyzed in virtual environment, and the real-time control function verification, fault early warning and auxiliary decision-making can be carried out, which improves the visibility, accessibility, operability and predictability of real SVDU display and control process. The real-time data, historical data, fault self-diagnosis data, and expert experience of real SVDU and virtual SVDU are incorporated into the twin data pool to reproduce the variable-speed replay of the historical operation process of SVDU and realize the post-accident condition analysis with multiple spatiotemporal dimensions; the record and analysis of self-fault diagnosis data provides the possibility of stability analysis services such as clock, power supply, human-machine input, and storage equipment, etc. Digital twin-based SVDU technology can ensure rapid development and iteration of products under the requirements of complex functions and high safety and reliability, and truly reproduce the display and control effects of SVDU, while meeting users’ multiple application scenarios and data service requirements.

2021 ◽  
Author(s):  
Yanqun Wu ◽  
Yang Zhao ◽  
Mingxing Liu ◽  
Wei Jiang ◽  
Qi Chen ◽  
...  

2000 ◽  
Vol XXXII (3-4) ◽  
pp. 22-27
Author(s):  
L. M. Fatkhutdinova ◽  
M. F. Ismagilov ◽  
N. Kh. Amirov ◽  
L. R. Gafarova

Prevalence of vegetative disfunction was studied in group of users of video display unit (VDU) (144 subjects) and in control group (71 subject). The main and control groups were similar in sex and age of subjects. Among video display unit users risk of vegetative disorders was 2,20 (range of the error 1,12 4,30). Hyperthermic and asthenic syndromes, migraine pain and vegetative crises were the most frequent manifestations of vegetative disorders. It was found that the risk of development of vegetative disorders in the group of video display unit users depended on sex, presence of dorsopathy and allergic states, individual character and natural vegetative tonus.


2018 ◽  
Vol 51 (15) ◽  
pp. 1062-1067 ◽  
Author(s):  
Mojtaba Sharifzadeh ◽  
Mario Pisaturo ◽  
Arash Farnam ◽  
Adolfo Senatore

2021 ◽  
Author(s):  
Zhongyu Zhang ◽  
Zhenjie Zhu ◽  
Jinsheng Zhang ◽  
Jingkun Wang

Abstract With the drastic development of the globally advanced manufacturing industry, transition of the original production pattern from traditional industries to advanced intelligence is completed with the least delay possible, which are still facing new challenges. Because the timeliness, stability and reliability of them is significantly restricted due to lack of the real-time communication. Therefore, an intelligent workshop manufacturing system model framework based on digital twin is proposed in this paper, driving the deep inform integration among the physical entity, data collection, and information decision-making. The conceptual and obscure of the traditional digital twin is refined, optimized, and upgraded on the basis of the four-dimension collaborative model thinking. A refined nine-layer intelligent digital twin model framework is established. Firstly, the physical evaluation is refined into entity layer, auxiliary layer and interface layer, scientifically managing the physical resources as well as the operation and maintenance of the instrument, and coordinating the overall system. Secondly, dividing the data evaluation into the data layer and the processing layer can greatly improve the flexible response-ability and ensure the synchronization of the real-time data. Finally, the system evaluation is subdivided into information layer, algorithm layer, scheduling layer, and functional layer, developing flexible manufacturing plan more reasonably, shortening production cycle, and reducing logistics cost. Simultaneously, combining SLP and artificial bee colony are applied to investigate the production system optimization of the textile workshop. The results indicate that the production efficiency of the optimized production system is increased by 34.46%.


2021 ◽  
Vol 343 ◽  
pp. 03005
Author(s):  
Florina Chiscop ◽  
Bogdan Necula ◽  
Carmen Cristiana Cazacu ◽  
Cristian Eugen Stoica

The topic of this paper represents our research in the process of creating a virtual model (digital twin) for a fast-food company production chain starting with the moment when a customer launches an order, following with the processing of that order, until the customer receives it. The model will describe elements that are included in this process such as equipment, human resources and the necessary space that is needed to host this layout. The virtual model created in a simulation platform will be a replicate of a real fast-food company, thus helping us observe the real time dynamic of this production system. Using WITNESS HORIZON 23 we will construct the model of the layout based on real time data received from the fast-food company. This digital twin will be used to manage the production chain material flow, evaluating the performance of the system architecture in various scenarios. In order to obtain a diagnosis of the system’s performance we will simulate the workflow running through preliminary architecture in compliance with the real time behaviour to identify the bottlenecks and blockages in the flow trajectory. In the end we will propose two different optimised architectures for the fast-food company production chain.


2013 ◽  
Vol 401-403 ◽  
pp. 1023-1026
Author(s):  
Jie Sun ◽  
Jun Zhang ◽  
An Bing Zhao

With the development of network technology, distributed system has been widely used in the area of measurement and control. This paper introduces a kind of distributed network spectrometer. The proposed method based on embedded technology and GPRS network technology, which achieve the real-time detection of targets from multiple locations.


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