Invention Application
- Patent Title: Computational Distributed Fiber-Optic Sensing Method and System
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Application No.: US16261631Application Date: 2019-01-30
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Publication No.: US20200166384A1Publication Date: 2020-05-28
- Inventor: Dapeng Zhou , Wei Peng
- Applicant: Dalian University of Technology
- Applicant Address: CN Dalian City
- Assignee: Dalian University of Technology
- Current Assignee: Dalian University of Technology
- Current Assignee Address: CN Dalian City
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@677352cd
- Main IPC: G01D5/353
- IPC: G01D5/353 ; G01K11/32 ; G01L1/24

Abstract:
The present invention discloses a computational distributed fiber-optic sensing method and system. The method includes: determining a signal source for modulating intensity of incident light, where the signal source is a binary sequence; using an optical pulse sequence obtained after modulation is performed using the signal source, as an incident light signal, and emitting the incident light signal to an optical fiber; acquiring, according to specified sampling frequency, a scattered light signal obtained through optical fiber scattering; determining, according to the incident light signal and the scattered light signal, a time-domain reconstructed image of a to-be-detected light signal by using a time domain-based differential ghost imaging protocol; and determining a sensing signal of the optical fiber according to the time-domain reconstructed image of the to-be-detected light signal. The computational distributed fiber-optic sensing method and system provided in the present invention feature low sampling frequency, low device complexity, and low costs.
Public/Granted literature
- US11105658B2 Computational distributed fiber-optic sensing method and system Public/Granted day:2021-08-31
Information query
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