Discrimination of the structures in nuclear facility by deep learning based on 3D point cloud data

Imabuchi, Takashi; Tanifuji, Yuta; Kawabata, Kuniaki

Proceedings of 2022 IEEE/SICE International Symposium on System Integration (SII 2022) (Internet), p.1036 - 1040, 2022/01

This paper describes a method for discrimination of the structures in nuclear power station by deep learning based on 3D point cloud data. In order to promote safe and steady decommissioning work, it is important to estimate and assume the condition in nuclear power station based on the measured sensor data. Especially, the data of the dose rate in the workspace is useful to plan the decommissioning task and, the shape and the material property of the structures in the workspace are required for the dose rate simulation. Shape data can be obtained by such as 3D Scan, however, it is difficult to acquire the material property data of the objects. Therefore, we consider that it is possible that the major material property can be estimated from the category of the structures in nuclear power station. In this paper, we proposed a structure discrimination method by 3D semantic segmentation with 3D point cloud data that consists of labeled points by referring category labels of CAD data of existing nuclear facility. We reported discrimination performance of the proposed method by hold-out validation.

Development of a sensor unit for simultaneous collection of dose rate and measurement position

Kawabata, Kuniaki; Shirasaki, Norihito*; Abe, Hiroyuki*; Hanari, Toshihide; Ito, Rintaro; Imabuchi, Takashi; Yamada, Taichi

no journal, , 

This paper describes a system for realizing simultaneous and synchronized collection of air dose rates and measurement locations for efficient dosimetry survey and spatio-temporal dosimetry data logging in nuclear facilities. The prototype system, which is currently under development, mainly consists of a 3D LiDAR-SLAM unit and a dosimeter integrated in a ROS framework. In this paper, we present the configuration of the prototype and the preliminary experimental results of dosimeter position estimation using it.

Development of a measurement unit that acquires dose rate data along with estimated measurement position data

Kawabata, Kuniaki; Imabuchi, Takashi; Shirasaki, Norihito*; Suzuki, Soichiro; Ito, Rintaro

no journal, , 

Development of exposure reduction technologies by digitalization of environment and radioactive source distribution, 7; Development of fundamental technology and system for realizing efficient dose rate data collection

Kawabata, Kuniaki; Imabuchi, Takashi; Shirasaki, Norihito*; Ito, Rintaro; Suzuki, Soichiro

no journal, , 

no abstracts in English

Development of exposure reduction technologies by digitalization of environment and radioactive source distribution, 10; Understanding and 3D modeling of working environmental data by using deep learning

Doi, Akio*; Yamashita, Meguru*; Takahashi, Hiroki*; Kato, Toru*; Imabuchi, Takashi; Hanari, Toshihide; Tanifuji, Yuta; Ito, Rintaro

no journal, , 

no abstracts in English

Research and development for discrimination of structures in nuclear facilities; A Discrimination method by deep learning based on 3D point cloud and projected image

Imabuchi, Takashi; Kawabata, Kuniaki

no journal, , 

no abstracts in English

Image quality assessment method on 3D modeling for grasping the internal state of the reactor in decommissioning

Hanari, Toshihide; Imabuchi, Takashi; Nakamura, Keita*; Kawabata, Kuniaki

no journal, , 

This paper introduces an image quality assessment on a 3D modeling to grasp the internal state of the nuclear reactor for a decommissioning of the Fukushima Daiichi Nuclear Power Station. We try a quantitative evaluation of videos or images acquired by the investigation inside the primary containment vessels and the reactor buildings for an efficient 3D reconstruction. Finally, we aim to develop a rapid 3D reconstruction method based on the image quality assessment.

Phantom hand in the sandstorm

Miyauchi, Satoru*; Imabuchi, Takashi; Hotta, Katsuyoshi*; Prima, O. D. A.*; Takeichi, Hiroshige*

no journal, , 

no abstracts in English