G01V8/24

SYSTEMS AND METHODS FOR FIBER OPTIC BASED VEHICLE-DIRECTION DETECTION

A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

SYSTEMS AND METHODS FOR FIBER OPTIC BASED VEHICLE-DIRECTION DETECTION

A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

RETRIEVABLE FIBER OPTIC VERTICAL SEISMIC PROFILING DATA ACQUISITION SYSTEM WITH INTEGRATED LOGGING TOOL FOR GEOPHONE-EQUIVALENT DEPTH ACCURACY

A wellbore system includes a logging unit having a retrievable logging cable coupled to a downhole tool within a wellbore and a depth correlation unit in the downhole tool that provides current depth data for the wellbore through the retrievable logging cable for recording of a current depth by the logging unit. The wellbore system also includes a distributed acoustic sensing unit that includes a seismic processing unit and a seismic profiling unit connected to a separate optical cable of the retrievable logging cable having distributed acoustic sensing channels, wherein an assignment of the distributed acoustic sensing channels along the separate optical cable is determined by an offset distance between the current depth of a formation reference region within the wellbore and a previous reference depth of the formation reference region within the wellbore. A distributed acoustic sensing method is also included.

RETRIEVABLE FIBER OPTIC VERTICAL SEISMIC PROFILING DATA ACQUISITION SYSTEM WITH INTEGRATED LOGGING TOOL FOR GEOPHONE-EQUIVALENT DEPTH ACCURACY

A wellbore system includes a logging unit having a retrievable logging cable coupled to a downhole tool within a wellbore and a depth correlation unit in the downhole tool that provides current depth data for the wellbore through the retrievable logging cable for recording of a current depth by the logging unit. The wellbore system also includes a distributed acoustic sensing unit that includes a seismic processing unit and a seismic profiling unit connected to a separate optical cable of the retrievable logging cable having distributed acoustic sensing channels, wherein an assignment of the distributed acoustic sensing channels along the separate optical cable is determined by an offset distance between the current depth of a formation reference region within the wellbore and a previous reference depth of the formation reference region within the wellbore. A distributed acoustic sensing method is also included.

System and method for optical measurements in a rotary machine

A system is provided with a measurement system having a light source, a light sensor, and a controller coupled to the light source and the light sensor. The controller is configured to determine a clearance between a rotor and a casing at least partially based on an interruption of light transmitted from the light source to the light sensor.

System and method for optical measurements in a rotary machine

A system is provided with a measurement system having a light source, a light sensor, and a controller coupled to the light source and the light sensor. The controller is configured to determine a clearance between a rotor and a casing at least partially based on an interruption of light transmitted from the light source to the light sensor.

Systems and methods for fiber optic based vehicle-direction detection

A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

Systems and methods for fiber optic based vehicle-direction detection

A device may receive fiber sensing data identifying vehicles traveling on a roadway associated with a fiber optic network and location data identifying geographical locations of the vehicles traveling on the roadway. The device may process the fiber sensing data, with a machine learning model, to identify a particular vehicle, of the vehicles, that is traveling in a wrong direction on the roadway. The device may process the location data, with the machine learning model, to identify locations of the roadway, a cellular network associated with the roadway, and vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle, and a nearest camera device to the particular vehicle. The device may perform one or more actions based on the locations of the roadway, the cellular network associated with the roadway, and the vehicle devices of the vehicles traveling on the roadway, other than the particular vehicle.

Fiber optic paint robot tool

An electrically insulated tool is provided for a paint robot of a robotic painting system. The insulated tool includes an insulated main body having a mounting bracket disposed at a first end of the main body, configured for removably coupling the insulated tool to a paint robot. The tool has an optical sensor system including first and second optical fiber cables, and first and second spaced-apart optic ports coupled to the respective first and second optical fiber cables. The optic ports are configured to provide light communication as a light emitter and a light receiver. An interruption in the light communication between the light emitter and the light receiver indicates a presence of a workpiece component adjacent a detection region of the insulated tool.

Systems and methods to reduce acoustic noise in fiber optic based sensor systems

The disclosed embodiments include an acoustic noise reduction device. In one embodiment, the device includes a first sensor operable to detect a first acoustic noise signal and a desired signal and to modulate a first plurality of optical signals in response to detecting at least one of the first acoustic noise signal and the desired signal. The device also includes a second sensor operable to detect a second acoustic noise signal and modulate a second plurality of optical signals in response to detecting the second acoustic noise signal. The device further includes a coupler that is connected to the first and second sensors, where components of the modulated first and second plurality of optical signals approximately cancel each other out.