DocumentCode
114192
Title
A small climbing robot for the intelligent inspection of nuclear power plants
Author
Da Guan ; Lei Yan ; Yibo Yang ; Wenfu Xu
Author_Institution
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
fYear
2014
fDate
26-28 April 2014
Firstpage
484
Lastpage
487
Abstract
Since Fukushima nuclear accident, the international society are paying more and more attention on the safety of nuclear power. The healthy monitoring is the most important means for earth warning. In this paper, we developed a wall-climbing robotic system for intelligent monitoring in nuclear power plants. It was made up of mechanical, control, and inspection subsystems. The robot was designed as a bipedal robot with five degrees of freedom. Supported by two suction feet, it could travel on flat and inclined surfaces, or move across different surfaces. It was actuated by an embedded controller, which was developed based on an ARM microprocessor and μc/os-ii operating systems. The controller also received and processed the telemanipulation commands from the operator. To supply complete information about the environment and key devices, the robot was equipped with optimal cameras, radiometers, barometer and thermometer. These sensors and their electrical parts constituted the inspection subsystem. At last, the robotic prototype was manufactured and experimented. Experiment results verified its flexibility and reliability.
Keywords
fission reactor safety; inspection; intelligent robots; legged locomotion; manipulators; nuclear power stations; telerobotics; bipedal robot; inspection subsystem; intelligent inspection; nuclear power plants; nuclear power safety; robotic prototype; telemanipulation commands; wall-climbing robotic system; Inspection; Legged locomotion; Pneumatic systems; Robot sensing systems; Climbing robot; Intelligent inspection; Nuclear energy industry; Nuclear robot;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/ICIST.2014.6920522
Filename
6920522
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