Robot dispatch and remediation of localized metal loss following estimation across piping structures

A method for predicting and remediating metal loss in a structure having a specific component type and size, comprising:

• predicting, using a trained machine learning model based upon historical data, metal loss over locations of the structure at a time of prediction;
• generating a three-dimensional visualization of the structure including an overlay depicting a magnitude of predicted metal loss over the sections of the structure at the time of the prediction, the overlay identifying from among the predicted locations a high-risk location on the structure in which magnitude of metal loss indicates potential remediation being needed;
• dispatching a robotic vehicle to the high-risk location on the structure;
• and
• using the robotic vehicle, inspecting the high-risk location to confirm whether the magnitude of metal loss at the location requires remediation;
• wherein the machine learning model is trained using historical data specific to the specific component type and size of the structure, and
• wherein each component type has a distinct structural shape.