Utility pole integrity assessment by distributed acoustic sensing and machine learning
US11846569B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 6, 2022 |
| Grant date | Dec 19, 2023 |
| Priority date | — |
| Expiry date | Apr 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01M5/0091
- WIPO fieldMeasurement
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.