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公开(公告)号:US11162888B2
公开(公告)日:2021-11-02
申请号:US16741139
申请日:2020-01-13
Applicant: Saudi Arabian Oil Company , AVITAS SYSTEMS, INC.
Inventor: Ali Al Shehri , Ser Nam Lim , Ayman Amer , Mustafa Uzunbas , Ahmad Aldabbagh , Muhammad Ababtain , Vincent Cunningham
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.
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2.
公开(公告)号:US20200074616A1
公开(公告)日:2020-03-05
申请号:US16254831
申请日:2019-01-23
Applicant: Saudi Arabian Oil Company , AVITAS SYSTEMS, INC.
Inventor: Ali Al Shehri , Ser Nam Lim , Ayman Amer , Mustafa Uzunbas , Ahmad Aldabbagh , Muhammad Ababtain , Vincent Cunningham , John Boot , Godine Kok Yan Chan
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.
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3.
公开(公告)号:US20200217777A1
公开(公告)日:2020-07-09
申请号:US16741139
申请日:2020-01-13
Applicant: Saudi Arabian Oil Company , AVITAS SYSTEMS, INC.
Inventor: Ali Al Shehri , Ser Nam Lim , Ayman Amer , Mustafa Uzunbas , Ahmad Aldabbagh , Muhammad Ababtain , Vincent Cunningham
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.
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公开(公告)号:US10533937B1
公开(公告)日:2020-01-14
申请号:US16117937
申请日:2018-08-30
Applicant: Saudi Arabian Oil Company , AVITAS SYSTEMS, INC.
Inventor: Ali Al Shehri , Ser Nam Lim , Ayman Amer , Mustafa Uzunbas , Ahmad Aldabbagh , Muhammad Ababtain , Vincent Cunningham
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.
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