Machine learning system and data fusion for optimizing deployment conditions for thermal barrier corrosion detection

摘要

A system for predicting thermal insulation corrosion (Cui) in infrastructure assetsThe thermal image of the asset is positioned to capture at least one infrared cameraSupport at least one infrared cameraIt is electrically coupled toWireless communication moduleMemory storageBattery module operable to recharge at least one infrared cameraAmbient sensor module adapted to obtain ambient condition dataAnd a smart mount comprising a structure probe sensor for acquiring Cui related data from and assets.At least one computing device comprises a wireless learning module that communicates with at least one smart mount and provides a machine learning algorithm that outputs a Cui prediction for an asset.The cloud computing platform receives and stores received data and predictive output and receives verification data for updating the machine learning algorithm stored in the computing device.