Patent classifications
G01H9/00
LOCATION DETERMINATION OF DEPLOYED FIBER CABLES USING DISTRIBUTED FIBER OPTIC SENSING
Systems and methods for determining fiber optic facility (cable) location using distributed fiber optic sensing (DFOS) and sequence pattern matching of vibration excitation signals applied to a sensor fiber. The use of sequence pattern matching with unique pattern codes allow for the precise determination of location and length of deployed fiber cable while exhibiting an immunity from environmental vibrations proximate to the fiber. As a result improved measurements are realized and false alarms are eliminated.
GALLOPING MONITORING OF OVERHEAD TRANSMISSION LINES USING DISTRIBUTED FIBER OPTIC SENSING
Systems, and methods for monitoring galloping of overhead transmission lines using distributed fiber optic sensing (DFOS) in combination with frequency domain decomposition (FDD) (frequency domain) algorithms/methods. A DFOS interrogator/analyzer is used to collect real-time data for pre-processing. The pre-processed data is further processed by processing algorithms, which provide results to a graphical user interface or other reporting mechanisms that provide real-time monitoring, alarming, and reporting of the galloping status of the overhead transmission lines.
IDENTIFICATION OF FALSE TRANSFORMER HUMMING USING MACHINE LEARNING
Systems, and methods for automatically determining false transformer humming when using DFOS systems and methods to determine such humming along with machine learning approach(es) to identify the false transformer humming signal(s) that are transferred to a utility pole without a transformer from a working transformer on another utility pole. Advantageously, our inventive systems and methods employ a customized signal processing workflow to process raw data collected from the DFOS. Our employs a binary classifier that can automatically identify a transformer humming signal from a utility pole with a transformer and simultaneously identify the false humming signal from a utility pole without a transformer.
DISTRIBUTED OPTICAL FIBRE SENSOR
A distributed optical fibre sensor is described which is arranged to measure one or more parameters as functions of position along a sensing optical fibre that extends along a path through an environment. The sensor includes a first probe light source arranged to generate pulses of first probe light in one or more first wavelength bands, a second probe light source arranged to generate pulses of second probe light in one or more second wavelength bands separate from said first wavelength bands, a wavelength division multiplexer arranged to launch the first probe light pulses and the second probe light pulses into the sensing optical fibre for backscatter within the sensing optical fibre, and a receiver arranged to receive and separately detect both Raman shifted components of the backscattered probe light, and coherent Rayleigh backscattered components of the second probe light.
IDENTIFICATION OF INNER FIBERS OF DEPLOYED FIBER CABLES USING DISTRIBUTED FIBER OPTIC SENSING
Systems, and methods for automatically identifying individual fibers within an optical fiber cable that are experiencing some form of significant signal impairment such as a fiber cut. Operationally, distributed fiber optic sensing (DFOS) systems are used to detect reflected signals along the length of the affected fiber(s) and a determination of affected fiber(s) is made from changes in reflection characteristics.
TWO STAGE PROCESSING DISTRIBUTED FIBER OPTIC SENSING (DFOS) INTERROGATOR FOR ACOUSTIC MODULATED SIGNALS
Distributed fiber optic sensing systems (DFOS) methods, and structures that employ DVS / DAS point sensors and a two-stage processing methodology / structure that advantageously enable point sensors to send sensor data at any time - thereby providing significant processing advantages over the prior art.
Simultaneous acquisition of distributed acoustic sensing for monitoring
An apparatus comprises a distributed acoustic sensing (DAS) optical fiber, a DAS interrogator coupled to the DAS optical fiber, and a connector. The connector couples the DAS interrogator, a first digitizer, and a second digitizer, wherein the first digitizer is to generate a first digitized DAS signal based on an analog DAS signal from the DAS interrogator, and the second digitizer is to generate a second digitized DAS signal based on the analog DAS signal. The apparatus also comprises one or more processors and a machine-readable medium having program code executable to cause the apparatus to simultaneously generate a first set of values that correlate with a first physical property based on the first digitized DAS signal and generating a second set of values that correlate with a second physical property based on the second digitized DAS signal.
Fiber-optic equipment enclosure sensors
Fiber-optic equipment is often deployed in various locations, and performance of fiber-optic transmissions may be monitored as a gauge of equipment status to prevent costly and inconvenient communication outages. Events that damage equipment that eventually result in outage and may be desirable to address proactively, but the occurrence of such events may be difficult to detect only through equipment performance Presented herein are techniques for monitoring and maintaining fiber-optic equipment performance via enclosure sensors that measure physical properties within a fiber-optic equipment enclosure, such as temperature, pressure, light, motion, vibration, and moisture, which are often diagnostic and predictive of causes of eventual communication outages, such as temperature-induced cable loss (TICL), incomplete flash-testing during installation, exposure to hazardous environmental conditions, and tampering. An enclosure sensor package transmits the physical measurements to a monitoring station, and automatic determination of enclosure-related events may enable triaging and transmission of repair alerts to maintenance personnel.
Multiple lane real-time traffic monitor and vehicle analysis using distributed fiber sensing
An advance in the art is made according to aspects of the present disclosure directed to distributed fiber optic sensing systems (DFOS), methods, and structures that advantageously monitor and identify—in real-time—roadway traffic and patterns across a multiple-lane highway by employing a multiple-transverse fiber optic cable arrangement of optical fiber cable positioned under the highway/roadway to detect, monitor, and/or identify traffic.
Heat-sound-vibration three-parameter integrated in-situ sensor and system of high-temperature-resistant and high-pressure-resistant structure
The present disclosure relates to a thermal-acoustic-vibration three-parameter integrated in-situ sensor and system with a high-temperature-resistant and high-pressure-resistant structure. The provided thermal-acoustic-vibration three-parameter integrated in-situ sensor with a high-temperature-resistant and high-pressure-resistant structure comprises a heat detection device, a sound detection device and a vibration detection device; and the sound detection device and the vibration detection device are distributed on two sides of the heat detection device. When heat, sound and vibration need to be detected, only spectra of light signals emitted by the heat detection device, the sound detection device and the vibration detection device need to be obtained, and heat information, sound information and vibration information to be detected are obtained through the corresponding relation between the spectra of the optical signals emitted by the heat detection device, the sound detection device and the vibration detection device and heat information, sound information and vibration information to be detected.