Invention Grant
- Patent Title: Utility pole integrity assessment by distributed acoustic sensing and machine learning
-
Application No.: US17715002Application Date: 2022-04-06
-
Publication No.: US11846569B2Publication Date: 2023-12-19
- Inventor: Yue Tian , Sarper Ozharar , Yangmin Ding , Shaobo Han , Ting Wang
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Corporation
- Current Assignee: NEC Corporation
- Current Assignee Address: JP Tokyo
- Agent Joseph Kolodka
- Main IPC: G01M7/08
- IPC: G01M7/08 ; G01H9/00 ; G01D5/353

Abstract:
A method of utility pole integrity assessment by distributed fiber optic sensing/distributed acoustic sensing (DFOS/DAS) employing existing telecommunications fiber optic cable as a sensor. The fiber optic cable is suspended aerially from a plurality of utility poles and a machine learning model is developed during training by mechanically exciting the utility poles. Once developed, and in sharp contrast to the prior art, the machine learning model—in conjunction with DFOS/DAS operation—determines an integrity assessment for a plurality of the utility poles aerially suspending the fiber optic cable from a mechanical impact of a single pole.
Public/Granted literature
- US20220326112A1 UTILITY POLE INTEGRITY ASSESSMENT SYSTEM BY DISTRIBUTED ACOUSTIC SENSING AND MACHINE LEARNING Public/Granted day:2022-10-13
Information query