Detection of Internal Defects in As-Built Pipelines for Structural Health Monitoring: A Sensor Fusion Approach Using Infrared Thermography and 3D Laser-Scanned Data

摘要: Internal defects of pipelines are among the main factors causing accidents in production phase industrial plants. Periodic monitoring a pipeline’s inner surface condition is great importance for minimizing risk failure This study proposes sensor fusion approach to detect internal automatically as-built during their service lives ensure structural safety. The proposed uses infrared thermography combined with threedimensional (3D) laser-scanned data. For this purpose, multi-sensor system equipped thermal camera and 3D laser scanner was internally externally calibrated. From data set, points corresponding extracted from Then, thermographic analysis those performed. In step, local gradients on calculated areas having different values. addition, global along longitudinal or radial axes pipeline determine consistency its thickness. field experiment performed at an operating petrochemical plant validate approach. experimental results revealed that has potential detecting