SENSING SYSTEM, SENSING METHOD AND COMPUTER READABLE MEDIUM

    公开(公告)号:US20250166500A1

    公开(公告)日:2025-05-22

    申请号:US18832673

    申请日:2022-03-29

    Abstract: An object of the present disclosure is to provide a sensing system, a sensing method and a non-transitory computer readable medium capable of localizing. A sensing system includes at least one memory configured to store instructions; and at least one processor configured to execute the instructions to: obtain time-distance information of an oscillation signal for each distributed sensing portion, while the oscillation signal is acquired by the plurality of distributed sensing portions for sensing a monitoring target and is induced by traffic of a moving object, estimate frequency densities of the oscillation signal sensed by the sensing portions based on the time-distance information, estimate degree of similarity between pair of the sensing portions based on the frequency densities, and localize a section of the monitoring target based on the degree of similarity.

    PROCESSING APPARATUS, DISTRIBUTED ACOUSTIC SENSING SYSTEM, DISTRIBUTED ACOUSTIC SENSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM

    公开(公告)号:US20250130075A1

    公开(公告)日:2025-04-24

    申请号:US18835779

    申请日:2022-02-16

    Abstract: A signal acquisition unit acquires a plurality of signal groups acquired based on backscattered light from a plurality of long gauge length sections and a plurality of signal groups acquired based on backscattered light from a plurality of short gauge length sections, which are set in an optical fiber used for distributed acoustic sensing. A signal selection unit selects a long gauge length section based on a first signal feature of each of signal groups of the plurality of long gauge length sections, and selects a plurality of short gauge length sections corresponding to the selected long gauge length section. A section estimation unit determines one short gauge length section, as a section in which an event has occurred, based on a second signal feature of each of signal groups of the plurality of selected short gauge length sections.

    EVENT RECOGNITION APPARATUS, EVENT RECOGNITION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

    公开(公告)号:US20240402003A1

    公开(公告)日:2024-12-05

    申请号:US18668375

    申请日:2024-05-20

    Abstract: An event recognition apparatus is configured to acquire an observation signal indicating sound or vibration that occurs at a point along an optical fiber and is detected by optical fiber sensing, also acquire a noise signal indicating optical noise present at a point along the optical fiber, and by using statistical information of a sound signal or a vibration signal acquired by a sound sensor or a vibration sensor, derive, from each of the observation signal and the noise signal, a posterior probability that at least one event occurs at a point along the optical fiber, and compare a posterior probability derived from the observation signal with a posterior probability derived from the noise signal, derive, from a result of the comparison, a posterior probability that the at least one event occurs at a point along the optical fiber, and output a result of the derivation.

    NOISE ESTIMATION DEVICE, MOVING OBJECT SOUND DETECTION DEVICE, NOISE ESTIMATION METHOD, MOVING OBJECT SOUND DETECTION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

    公开(公告)号:US20220293081A1

    公开(公告)日:2022-09-15

    申请号:US17632940

    申请日:2019-08-08

    Abstract: Provided is a noise estimation device capable of appropriately estimating the amount of noise in an observation signal. The noise estimation device includes: frequency analysis processing means for receiving an input of an observation signal that includes a moving object sound output from an moving object and noise and transforming the observation signal into a feature in each of time-frequency domains; noise range estimation means for estimating a first feature in a first time-frequency domain to which only the noise belongs based on acoustic characteristic information of the moving object sound and the feature; and amount-of-noise estimation means for estimating an amount of noise in a second time-frequency domain to which the moving object sound belongs based on the first feature.

    SIGNAL SOURCE POSITION ESTIMATION APPARATUS, SYSTEM, AND METHOD

    公开(公告)号:US20240329185A1

    公开(公告)日:2024-10-03

    申请号:US18698517

    申请日:2021-10-28

    CPC classification number: G01S5/22

    Abstract: An object of the present disclosure is to provide a signal source position estimation apparatus, a system, a method, and a non-transitory computer-readable medium that are capable of accurately estimating positions of a plurality of different signal sources even when signals are generated from the plurality of signal sources at substantially the same time. The signal source position estimation apparatus according to the present disclosure includes: a time difference of arrival (TDOA) candidate value evaluation means for calculating, for all combinations of two sensors selected from among a plurality of sensors, all candidate values of a time difference of arrival being a difference in time of arrival (TOA) of signals generated from each of a plurality of signal sources between the two sensors; and a solution candidate distribution derivation means for deriving a solution candidate distribution formed by distributing whether predetermined coordinates are coordinates of the plurality of signal sources.

    POSITION EVALUATION APPARATUS, POSITION EVALUATION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM

    公开(公告)号:US20240102851A1

    公开(公告)日:2024-03-28

    申请号:US18206469

    申请日:2023-06-06

    CPC classification number: G01H9/004 H04B10/0791

    Abstract: An apparatus includes memory and processor configured to: input, from a sensor, a signal indicating a characteristic vibration occurring at each position of an optical fiber, and estimate, based on the input signal, an aerial section in which the optical fiber being aerially laid over a pole is present; calculate, based on the input signal, sensing data indicating a vibration characteristic of each position of the optical fiber being present in the aerial section, and calculate a difference degree of the sensing data between two neighboring points of the optical fiber; and temporally integrate the difference degree, calculate a time average of the difference degree, estimate, based on a time average value of the difference degree, a position of the pole and a position of an extra length section of the optical fiber, and output an estimation result of positions of the pole and the extra length section.

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