Cloud-based machine learning system and data fusion for the prediction and detection of corrosion under insulation

US10533937B1 · kind B1 · utility

Assignees

• SAUDI ARABIAN OIL COMPANY · SA
• AVITAS SYSTEMS, INC. · US

Inventors

• Ali Shehri · Dhahran, SA
• Ser Nam Lim · Niskayuna, US
• Ayman Amer · Thuwal, SA
• Mustafa Gokhan Uzunbas · Niskayuna, US
• Ahmad Aldabbagh · Thuwal, SA
• Muhammad Ababtain · Thuwal, SA
• Vincent Cunningham · Ferbane, IE

Key dates

• Filing date: Aug 30, 2018
• Grant date: Jan 14, 2020
• Expiry date: Aug 30, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V20/20
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A system for predicting corrosion under insulation (CUI) in an infrastructure asset includes at least one infrared camera positioned to capture thermal images of the asset, at least one smart mount supporting and electrically coupled to the at least one infrared camera and including a wireless communication module, memory storage, a battery module operative to recharge the at least one infrared camera, an ambient sensor module adapted to obtain ambient condition data and a structural probe sensor to obtain CUI-related data from the asset. At least one computing device has a wireless communication module that communicates with the at least one smart mount and is configured with a machine learning algorithm that outputs a CUI prediction regarding the asset. A cloud computing platform receive and stores the received data and the prediction output and to receive verification data for updating the machine learning algorithm stored on the computing device.