Title :
Structural health monitoring robot using paired structured light
Author :
Myung, Hyun ; Seungmok Lee ; Lee, Bum-Joo
Author_Institution :
Dept. of Civil & Environ. Eng., KAIST, Daejeon, South Korea
Abstract :
The displacement measurement in structural health monitoring (SHM), though important, was not popular due to inaccessibility and the huge size of the civil infrastructures. The frequently employed approaches use accelerometer, strain gauge, PZT, GPS, LVDT(Linear Variable Differential Transformer) etc., where most of them indirectly measure the displacement, require high cost, and are not so practical to install and maintain. Thus the development of SHM system that directly measures the displacement of the structure using low-cost sensors can be very helpful. In this paper, a multiple paired structured light (SL) system is proposed to be used as a structural displacement measurement. The proposed paired SL module is quite cheap to implement and can directly measure the accurate relative displacement between any two locations. Based on some simulations, a minimal configuration of the paired SL module is proposed. And the steepest descent and extended Kalman filtering-based displacement estimation methods are proposed by deriving a kinematic equation and its constraints. After building a prototype of the paired SL module, some real experiments are performed to test the feasibility of the system for the long-span structural displacement monitoring. The proposed system is expected to act also as a visual inspection and active sensing system if the mobility of the robot is utilized.
Keywords :
Kalman filters; condition monitoring; displacement measurement; image sensors; industrial robots; inspection; robot vision; structural engineering; civil infrastructures; displacement estimation method; extended Kalman filtering; kinematic equations; multiple paired structured light system; structural displacement measurement; structural health monitoring robot; vision sensor; visual inspection; Accelerometers; Costs; Displacement measurement; Global Positioning System; Kalman filters; Kinematics; Monitoring; Robots; Sensor systems; Strain measurement;
Conference_Titel :
Industrial Electronics, 2009. ISIE 2009. IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-4347-5
Electronic_ISBN :
978-1-4244-4349-9
DOI :
10.1109/ISIE.2009.5214728