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Sato, Yuki; Torii, Tatsuo
Nuclear Technology, 206(7), p.v - xvi, 2020/07
Times Cited Count：2 Percentile：66.67(Nuclear Science & Technology)Kawabata, Kuniaki
Japanese Journal of Applied Physics, 59(5), p.050501_1 - 050501_9, 2020/05
Times Cited Count：13 Percentile：19.78(Physics, Applied)This paper describes the decommissioning work being undertaken at the Fukushima Daiichi Nuclear Power Station of the Tokyo Electric Power Company Holdings Inc.'s (FDNPS) using remote controlled robotic systems, as well as lessons learned from past remote task executions. We also summarize the issues to be considered in promoting safe, steady, and efficient decommissioning based on past experiences. In response to these issues, we are developing test methods for performance evaluation of the robots for nuclear decommissioning, robot simulator for operator proficiency training, and information generation methods to improve the operator's status awareness. The current status of technological development is also described.
Matsukawa, Shun*; Itakura, Kenichi*; Hayano, Akira; Suzuki, Yukinori*
Journal of MMIJ, 133(11), p.256 - 263, 2017/11
LIDAR detects a rock mass surface configurations as a point cloud. DiAna (Discontinuity Analysis) is a Matlab tool which was developed for geo-structural analysis of rock mass discontinuities. DiAna segments a point cloud into bounding boxes to estimate the surface of a rock mass. However, an expert's skills necessary to determine the appropriate size of the bounding boxes for DiAna. We developed the VBS (Variable-Box Segmentation) algorithm to determine the appropriate box size depending on the location of the point cloud and to estimate the surface of a rock mass. The performance of the VBS algorithms was evaluated by comparison with the DiAna algorithm. The results of comparison showed that the VBS algorithm estimated planes more accurately for the reference planes than the DiAna algorithm. Therefore, the VBS algorithm determines appropriate box sizes automatically depending on the location of the point cloud and estimates the surface appropriately.
Hayano, Akira; Itakura, Kenichi*
Journal of MMIJ, 133(4), p.76 - 86, 2017/04
no abstracts in English
Matsuura, Yuto*; Matsukawa, Shun*; Itakura, Kenichi*; Hayano, Akira; Suzuki, Yukinori*
no journal, ,
no abstracts in English
Sato, Yuki; Tanifuji, Yuta; Terasaka, Yuta; Morishita, Yuki; Usami, Hiroshi; Kaburagi, Masaaki; Kawabata, Kuniaki; Torii, Tatsuo
no journal, ,
Miura, Takatomo
no journal, ,
Tokai Reprocessing Plant (TRP) shifted to the decommissioning stage in 2018 and the process of TRP decommissioning is planned to continue for approximately 70 years until the release of controlled areas of approximately 30 facilities. As preliminary to decommissioning process, clean-up is ongoing (1st step). Prior to a dismantling planned to start within a few years as the 2nd step, we need to investigate a situation in cells in detail, and 3D cloud data and 3D As-Built are expected to utilize for equipment dismantling at 2nd step. But Regarding 3D As-built at TRP, there are some issues (e.g. Several cells are narrow and under high-radioactive condition, it is limited access to inside of a cell, and so forth). In this study, we considered how to get 3D cloud data in response to the characteristics of TRP based on these issues. As a result, considering structure of reprocessing plant like TRP, it is effective for scanning to use the remote jig combined guide rail and cable bear. Furthermore, we confirmed making new hole in the cell wall makes it possible to get data for 3D As-Built. From these studies, we have some good prospect on how to establish 3D As-Built at TRP cells.
Takasaki, Koji
no journal, ,
The Remote System and Sensing Technology Division has been researching and developing radiation visualization, remote analysis technology, and related digital technology at the Collaborative Laboratories for Advanced Decommissioning Science of JAEA for the decommissioning of TEPCO's Fukushima Daiichi Nuclear Power Plant. We will introduce these researches.
