Quantitative Shape Measurement of An Inflatable Rubber Dam Using Inertial Sensors

Shape measurement is of great importance for the effective control and safe operation of inflatable rubber dams. This paper presents for the first time a method to measure the cross-sectional shape of a rubber dam by placing an array of inertial measurement units (IMUs) on the peripheral of the rubber dam. The IMU array measures tangent angles of the dam peripheral by fusing accelerometer and gyroscope measurements. A continuous tangent angle function is derived by interpolating the tangent angles at discrete locations using a cubic spline. Finally, the shape is reconstructed by integrating the tangent angle function along the peripheral of the rubber dam. The performance of the measurement system is validated against a camera on a purpose-built test rig. Experimental results show that the measured and reference shapes are very similar, with a maximum similarity index of 8.5% under typical conditions. In addition, it is demonstrated that the system is robust against node failure by excluding readings of faulty nodes from shape reconstruction.

[1]  Lucia Rita Quitadamo,et al.  Resistive flex sensors: a survey , 2015 .

[2]  Joseph A. Paradiso,et al.  SensorTape: Modular and Programmable 3D-Aware Dense Sensor Network on a Tape , 2015, UIST.

[3]  Sebastian Madgwick,et al.  Estimation of IMU and MARG orientation using a gradient descent algorithm , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[4]  Kit-Hang Lee,et al.  Real-Time Surface Shape Sensing for Soft and Flexible Structures Using Fiber Bragg Gratings , 2019, IEEE Robotics and Automation Letters.

[5]  Osman Hasan,et al.  Wearable technologies for hand joints monitoring for rehabilitation: A survey , 2018, Microelectron. J..

[6]  Giovanna Sansoni,et al.  State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation , 2009, Sensors.

[7]  Angelo M. Sabatini,et al.  Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing , 2006, IEEE Transactions on Biomedical Engineering.

[8]  Jung Keun Lee,et al.  Robust Inertial Measurement Unit-Based Attitude Determination Kalman Filter for Kinematically Constrained Links , 2019, Sensors.

[9]  X Q Zhang,et al.  Construction, operation, and maintenance of rubber dams , 2002 .

[10]  Modris Greitans,et al.  Acceleration and Magnetic Sensor Network for Shape Sensing , 2016, IEEE Sensors Journal.

[11]  Landolf Rhode-Barbarigos,et al.  Form finding and analysis of inflatable dams using dynamic relaxation , 2015, Appl. Math. Comput..

[12]  A. Pressley Elementary Differential Geometry , 2000 .

[13]  Silviu Butnariu,et al.  Measurement and Geometric Modelling of Human Spine Posture for Medical Rehabilitation Purposes Using a Wearable Monitoring System Based on Inertial Sensors , 2016, Sensors.

[14]  Robert E. Mahony,et al.  Nonlinear Complementary Filters on the Special Orthogonal Group , 2008, IEEE Transactions on Automatic Control.