Contrastive learning of utility pole representations from distributed acoustic sensing signals

US11698290B2 · kind B2 · utility

Assignee

• NEC CORPORATION · JP

Inventors

• Shaobo HAN · Princeton, US
• Yue Tian · Princeton, US
• Sarper Ozharar · Orlando, US
• Yangmin DING · East Brunswick Township, US
• Ting Wang · Plainsboro, US

Key dates

• Filing date: Apr 5, 2022
• Grant date: Jul 11, 2023
• Expiry date: Apr 5, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/084
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

Systems and methods for operating a distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system include a length of optical sensing fiber suspended aerially by a plurality of utility poles and in optical communication with a DFOS interrogator/analyzer. The method includes operating the DFOS/DAS system while manually exciting more than one of the poles to obtain frequency response(s) of the excited poles; contrastively training a convolutional neural network (CNN) with the frequency responses obtained; classifying the utility poles using the contrastively trained CNN; and generating a profile map of the excited poles indicative of the classified utility poles.