Chinese Journal of Intelligent Science and Technology ›› 2019, Vol. 1 ›› Issue (2): 192-201.doi: 10.11959/j.issn.2096-6652.201912

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Parallel nuclear power:intelligent technology for smart nuclear power

Jiachen HOU1,2,Xisong DONG1,2,Gang XIONG2,2(),Jun ZHANG1,2,Ke TAN4   

  1. 1 The State Key Laboratory for Management and Control of Complex Systems &Beijing Engineering Research Center of Intelligent Systems and Technology,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China
    2 Qingdao Academy of Intelligent Industries,Qingdao 266113,China
    3 Chinese Academy of Cloud Computing Industry Technology Innovation and Incubation Center,Dongguan 523808,China
    4 China General Nuclear Power Group,Shenzhen 518028,China
  • Revised:2019-03-26 Online:2019-06-20 Published:2019-09-09
  • Supported by:
    The National Basic Research Program of China(2018YFB1004800);The National Natural Science Foundation of China(61773381);The National Natural Science Foundation of China(61773382);The National Natural Science Foundation of China(61533019);Guangdong Science and Technology Department Project(2016B090910001);Guangdong Science and Technology Department Project(2017B090912001)


A framework to incorporate nuclear plants using the ACP based parallel system theory was proposed.This research framework has established a convenient and safe platform for nuclear power plants to experiment,learn and work in complex environments,namely parallel nuclear power system.Proceeding from the basic concept of parallel nuclear power,the basic framework of parallel nuclear power system was proposed,and the elementary functions and implementation methods of description,prediction and guidance module were also introduced.The key technologies were also further discussed.At last,this paper looks forward to the nuclear power system application in emergency,and the future development direction of parallel nuclear power system was proposed.

Key words: ACP theory, parallel nuclear power, knowledge automation, nuclear emergency, intelligence strategy

CLC Number: 

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