Title:
保温材下腐食を検出するための配備条件を最適化するための機械学習システムおよびデータ融合
Document Type and Number:
Japanese Patent JP7183425
Kind Code:
B2
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.
Inventors:
Ali Al Chefri
Cell Nam Lim
Ayman Amer
Mustafa Uznbus
Ahmad Alda bag
Muhammad Aruba Butain
Vincent Cunningham
John Boot
Godine Koku Yang Chan
Cell Nam Lim
Ayman Amer
Mustafa Uznbus
Ahmad Alda bag
Muhammad Aruba Butain
Vincent Cunningham
John Boot
Godine Koku Yang Chan
Application Number:
JP2021536662A
Publication Date:
December 05, 2022
Filing Date:
August 30, 2019
Export Citation:
Assignee:
Saudi Arabian Oil Company
Abitus Systems Incorporated
Abitus Systems Incorporated
International Classes:
G01N17/00; G01N25/72; G06N3/04; G06N20/00; G06T7/00
Domestic Patent References:
| JP2018025497A |
Foreign References:
| US20100107767 |
Attorney, Agent or Firm:
Murayama Yasuhiko
Shinya Mihiro
Tatsuhiko Abe
Shinya Mihiro
Tatsuhiko Abe
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