Towards Automatic Robotic NDT Dense Mapping for Pipeline Integrity Inspection

This paper addresses automated mapping of the remaining wall thickness of metallic pipelines in the field by means of an inspection robot equipped with Non-Destructive Testing (NDT) sensing. Set in the context of condition assessment of critical infrastructure, the integrity of arbitrary sections in the conduit is derived with a bespoke robot kinematic configuration that allows dense pipe wall thickness discrimination in circumferential and longitudinal direction via NDT sensing with guaranteed sensing lift-off (offset of the sensor from pipe wall) to the pipe wall, an essential barrier to overcome in cement-lined water pipelines. The data gathered represents not only a visual understanding of the condition of the pipe for asset managers, but also constitutes a quantative input to a remaining-life calculation that defines the likelihood of the pipeline for future renewal or repair. Results are presented from deployment of the robotic device on a series of pipeline inspections which demonstrate the feasibility of the device and sensing configuration to provide meaningful 2.5D geometric maps.

[1]  Carl E. Rasmussen,et al.  Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.

[2]  Zheng Liu,et al.  State of the art review of inspection technologies for condition assessment of water pipes , 2013 .

[3]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[4]  Xinjun Wu,et al.  An improved ferromagnetic material pulsed eddy current testing signal processing method based on numerical cumulative integration , 2015 .

[5]  Alen Alempijevic,et al.  Gaussian process for interpreting pulsed eddy current signals for ferromagnetic pipe profiling , 2014, 2014 9th IEEE Conference on Industrial Electronics and Applications.

[6]  Jian Ji,et al.  Probabilistic physical modelling of corroded cast iron pipes for lifetime prediction , 2017 .

[7]  J Valls Miro,et al.  Towards Optimized and Reconstructable Sampling Inspection of Pipe Integrity for Improved Efficiency of NDT , 2016 .

[8]  Xinjun Wu,et al.  Assessment of wall thinning in insulated ferromagnetic pipes using the time-to-peak of differential pulsed eddy-current testing signals , 2012 .

[9]  Yihua Kang,et al.  Pulsed eddy current signal processing method for signal denoising in ferromagnetic plate testing , 2010 .

[10]  Jaime Valls Miro,et al.  3D Point Cloud Upsampling for Accurate Reconstruction of Dense 2.5D Thickness Maps , 2014 .

[11]  Li Xie,et al.  Heavy-duty omni-directional Mecanum-wheeled robot for autonomous navigation: System development and simulation realization , 2015, 2015 IEEE International Conference on Mechatronics (ICM).

[12]  Bing Qiao,et al.  Kinematic Model of a Four Mecanum Wheeled Mobile Robot , 2015 .