Intelligent radioactive waste process cloud-based system for nuclear power plant decommissioning

被引:3
|
作者
Chen Y.-C. [1 ]
Sun H.-M. [2 ]
Chen R.-S. [3 ]
Yeh J.-H. [4 ]
Fan X. [5 ]
Chou I.-H. [6 ]
机构
[1] Department of Computer Science, University of California, Davis, CA
[2] Institute of Information Systems and Applications, National Tsing Hua University, Hsinchu
[3] Department of Information Management, China university of technology, Hsinchu
[4] Department of Computer Science, Boise State University, Boise, ID
[5] Shenzhen Institute of Advanced Technology, Chinese Academy of Science, Shenzhen
[6] Nuclear Instrumentation Division, Institute of Nuclear Energy Research, Hsinchu
关键词
Cloud-based system; Information system; Nuclear waste; RFID; Software agent;
D O I
10.1007/s12652-018-0913-1
中图分类号
学科分类号
摘要
In pursuit of significant economy growth, most of the developed countries often ignore the importance of radioactive waste management, so the vast majority of nuclear power plants are still based on labor management, which is considered as inefficient way. The nuclear plant has limited operating life, which means it has to be dismantled after designated life limit, and the radioactive waste is also need to be disposed appropriately. In this research, an intelligent nuclear power plant decommissioning mechanism with cloud based was proposed, which include a comprehensive solution for dismantled parts transportation, radioactive waste management platform for radioactive waste storage facilities, and real-time nuclear waste drum status monitoring. Meanwhile, this mechanism also deploys software agents and cloud-based system, RFID as infrastructure to setup integrated information system. The result of this research could improve the current monitoring method for radioactive waste, from locating to storing, with the assistance of cloud-based information system. Furthermore, the solution for dismantled parts transportation may bring more safety for related workers. © Springer-Verlag GmbH Germany, part of Springer Nature 2018.
引用
收藏
页码:1801 / 1811
页数:10
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