Abstract
To obtain the necessary information on fuel debris and water leakages during the decommissioning task of the Fukushima Daiichi Nuclear Power Plant, an ultrasonic-based method was proposed for future internal investigation of the primary containment vessel (PCV). In this article, we describe the rotatable winch mechanism and visual localization method, which were used to aid the investigation. We used the rotatable winch mechanism to adjust the height and orientation of the ultrasonic sensor and localized the robot with cameras to localize the sensor, to provide assisting information for data combination. We studied the feasibility of the conventional visual odometry method for application to the situation and performed localizing accuracy evaluation experiments with a mobile robotic platform prototype. The results showed that the visual odometry method could generate intuitive bird’s-eye-view maps, and provided an average error rate of 35 mm/1500 mm, which met the required maximum error rate of 100 mm/1500 mm for the grating movement. Experiments were also conducted with adjustable parameter ranges that could provide the required accuracy.
Original language | English |
---|---|
Article number | 34 |
Journal | ROBOMECH Journal |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - Dec 1 2020 |
Keywords
- Decommissioning
- Fuel debris
- Fukushima Daiichi nuclear
- Ultrasonic
- Visual odometry
ASJC Scopus subject areas
- Modelling and Simulation
- Instrumentation
- Mechanical Engineering
- Control and Optimization
- Artificial Intelligence