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佐藤 優樹; 寺阪 祐太
Journal of Nuclear Science and Technology, 59(6), p.677 - 687, 2022/06
被引用回数：17 パーセンタイル：95.64(Nuclear Science & Technology)The Fukushima Daiichi Nuclear Power Station (FDNPS) went into meltdown after being hit by a large tsunami caused by the Great East Japan Earthquake on March 11, 2011. Measuring and understanding the distribution of radioactive contamination inside the FDNPS is essential for decommissioning work, reducing exposure to workers, and ensuring decontamination. This paper reports the visualization tests of radioactive contamination in the Unit 1/2 exhaust stack of the FDNPS using a compact Compton camera. Fixed-point measurements were conducted using only a Compton camera and moving measurements using an integrated radiation imaging system (iRIS) that combines a Compton camera with a simultaneous localization and mapping device. For the moving measurements, an operator carrying the iRIS acquires data continuously while walking in a passage near the stack. With both types of measurements, high-intensity contamination was detected at the base of the stack, and detailed three-dimensional (3D) visualization of the contamination was obtained from the moving measurement. The fixed-point measurements estimated the source intensity of the contamination from the reconstructed contamination image acquired by the Compton camera. Furthermore, workers can experience the work environment before actual work by importing a 3D structure model into a virtual reality system displaying the contamination image.
佐藤 優樹; 峯本 浩二郎*; 根本 誠*; 鳥居 建男
Journal of Instrumentation (Internet), 16(1), p.P01020_1 - P01020_18, 2021/01
被引用回数：1 パーセンタイル：9.32(Instruments & Instrumentation)To reduce the exposure doses of workers and to establish decontamination plans, it is important to understand and visualize the distribution of radioactive substances at the Fukushima Daiichi Nuclear Power Station in Japan, where an accident occurred on the 11th of March, 2011. In this decommissioning work environment, radioactive substances adhered to various objects, such as rubble and equipment, and it was necessary to visualize the distribution of these contaminants in all three dimensions. The technology used to automatically and remotely acquire data to visualize the distribution of radioactive substances in three dimensions was useful for reducing the exposure dose of the workers and to shorten the survey time. We constructed an automatic data acquisition system that consisted of a Compton camera and a 3D-light detection and ranging sensor mounted on an autonomously moving robot. We also evaluated the system feasibility using radiation sources and succeeded in automatically acquiring the data required for visualizing the radiation sources. For this data acquisition, the operator did not need to operate the system after the measurements were started. The effects of the imaging parameters of the Compton camera and the accuracy of the self-position estimation of the system on the radiation-imaging accuracy are also discussed.
佐藤 優樹; 小澤 慎吾*; 寺阪 祐太; 峯本 浩二郎*; 田村 智志*; 新宮 一駿*; 根本 誠*; 鳥居 建男
Journal of Nuclear Science and Technology, 57(6), p.734 - 744, 2020/06
被引用回数：20 パーセンタイル：93.76(Nuclear Science & Technology)The Fukushima Daiichi Nuclear Power Station, operated by Tokyo Electric Power Company Holdings, Inc., suffered a meltdown as a result of a large tsunami triggered by the Great East Japan Earthquake on March 11, 2011. To proceed with the environmental recovery by decontamination, drawing a radiation distribution map that can indicate the distribution of radioactive substances is extremely important to establish detailed decontamination plans. We developed a remote radiation imaging system consisting of a lightweight Compton camera and a multi-copter drone to remotely measure the distribution of the radioactive substances. This system can perform radiation imaging using a Compton camera while flying and moving. In addition, it is also possible to draw the distribution of radioactive substances three-dimensionally by projecting the radiation image measured with the Compton camera on a three-dimensional topography model separately acquired by a 3D-LiDAR. We conducted a survey of radioactive hotspots in difficult-to-return zone in the coastal area of Fukushima, Japan. The drone system succeeded in three-dimensional visualization of several hotspots deposited on the ground. Such remote technology would be useful not only for monitoring the difficult-to-return zone, but also for monitoring distribution of radioactive substances inside the site of the FDNPS where decommissioning work is ongoing.
佐藤 優樹; 寺阪 祐太; 小澤 慎吾*; 谷藤 祐太; 鳥居 建男
Journal of Instrumentation (Internet), 13(8), p.T08011_1 - T08011_10, 2018/08
被引用回数：6 パーセンタイル：31.02(Instruments & Instrumentation)The Fukushima Daiichi Nuclear Power Station (FDNPS), operated by Tokyo Electric Power Company Holdings, Inc., suffered a meltdown after a large tsunami caused by the Great East Japan Earthquake on March 11, 2011. The measurement of radiation distribution inside FDNPS buildings is indispensable for executing appropriate decommissioning tasks in the reactor's buildings. In addition, it is extremely important to accurately predict the location of radioactive contamination beforehand because the working time is limited owing to radiation exposure to workers. In this paper, a simple virtual reality (VR) system that can detect radioactive substances in virtual space has been developed to simulate real working environments. A three-dimensional (3D) photo-based model of the real working environment, including an image of the radioactive substance, was imported into the virtual space of the VR system. The developed VR system can be accessed using a smartphone and a cardboard goggle. The VR system is expected to be useful for preliminary training of workers and for recognizing radioactive hotspots during decommissioning of the work environment.
佐藤 優樹; 小澤 慎吾*; 谷藤 祐太; 鳥居 建男
Journal of Instrumentation (Internet), 13(3), p.P03001_1 - P03001_8, 2018/03
被引用回数：7 パーセンタイル：35.49(Instruments & Instrumentation)The Fukushima Daiichi Nuclear Power Station (FDNPS), operated by Tokyo Electric Power Company Holdings, Inc., went into meltdown after the large tsunami caused by the Great East Japan Earthquake of March 11, 2011. Radiation distribution measurements inside FDNPS buildings are indispensable to execute decommissioning tasks in the reactor buildings. We have developed a method of three-dimensional (3-D) image reconstruction for radioactive substances using a compact Compton camera. We also succeeded in visually recognize the position of the radioactive substances on the real space by integration of the 3D radiation image and the 3D photo-model created by photogrammetry.
佐藤 優樹; 小澤 慎吾*; 谷藤 祐太; 鳥居 建男
no journal, ,
The Fukushima Daiichi Nuclear Power Station (FDNPS), operated by Tokyo Electric Power Company Holdings, Inc., went into meltdown after the large tsunami caused by the Great East Japan Earthquake of March 11, 2011. Radiation distribution measurements inside the buildings of the FDNPS are indispensable to execute the decommission tasks because the information would be important to predict risk to workers and to decrease the amount of radiation exposure. In this work, we developed a simple virtual reality (VR) system that can perceive the radioactive substances in the virtual space reproducing working environments. The VR was developed with Unity 5.6 which is a game development engine. The developed VR will be experienced using a smartphone and a cardboard goggle. The advantage of using smartphones is that it has a gyro sensor, which users can use to look over the VR space. In addition, it is owned by many users. The VR system is expected to be useful for preliminary training of workers and recognition of radioactive hot spots in the decommissioning work environment.
佐藤 優樹; 寺阪 祐太; 宇津木 弥*; 菊地 弘幸*; 高平 史郎*; 鳥居 建男
no journal, ,
The Fukushima-Daiichi Nuclear Power Station (FDNPS), operated by Tokyo Electric Power Company Holdings, Inc., went into meltdown after the occurrence of a large tsunami caused by the Great East Japan Earthquake on March 11, 2011. The radiation distribution measurements inside the site of the FDNPS are indispensable to execute decommissioning tasks. We have developed a three-dimensional (3D) radiation imaging technique for grasping the location of the high-dose rate region (hotspot) using a compact Compton camera and a photogrammetry technique to create 3D optical images. We succeeded in detecting the hotspot in a waste storage space inside the FDNPS using the Compton camera. We also created the 3D structural model of the waste storage space in the virtual space by using the photogrammetry and superimposed the image of the hotspot on the 3D structural model. Furthermore, we are developing a system that imports the 3D structural model including the image of the hotspot into the virtual reality and allows workers to experience the actual working environment. We believe that these visualization techniques help workers to easily recognize the hotspot at the actual working environment and to decrease their own exposure. These visualization techniques are also effective for planning decontamination and eventually accelerating the decommissioning of the FDNPS.
佐藤 優樹
no journal, ,
The Fukushima Daiichi Nuclear Power Station (FDNPS), operated by Tokyo Electric Power Company Holdings, Inc., went into meltdown after the occurrence of a large tsunami caused by the Great East Japan Earthquake of March 11, 2011. The radiation distribution measurements inside the FDNPS are indispensable to execute decommissioning tasks. We have conducted the radiation imaging experiment inside the FDNPS building using the compact Compton camera. The high-dose contamination (up to 3.5 mSv/h) was visualized using the Compton camera in the turbine building of Unit 3 of the FDNPS. We also created a three-dimensional (3D) radiation distribution map inside the turbine building by integrating the radiation image obtained by the Compton camera into the point cloud data of the experimental environment acquired using the scanning laser range finder. In addition, we introduce the photogrammetry technique to create the 3D structural model of the experimental environment. The image of the radioactive hotspot is superimposed on the 3D structural model of inside the reactor building of Unit 1 of the FDNPS created using the photogrammetry. In the presentation, our recent study about the radiation imaging technology for measurements of the distribution of radioactive substances inside the FDNPS is discussed.
