Sensing system, sensing method, and program

Abstract

The present disclosure provides a sensing system, a sensing method, and a non-transitory computer-readable medium capable of localizing a section of a monitoring target, the sensing system (10) including a data set processing unit (12) configured to obtain time-distance information of vibration signals for each distributed sensing portion, the vibration signals being acquired by a plurality of distributed sensing portions to detect a monitoring target and induced by traffic of moving objects, a frequency density estimation unit (14) configured to estimate a frequency density of the vibration signals detected by the sensing portions based on the time-distance information, a similarity estimation unit (16) configured to estimate a similarity between a pair of sensing portions based on the frequency density, and a localization unit (18) configured to localize a section of the monitoring target based on the similarity.

Claims

1. A dataset processing means for obtaining time-distance information of vibration signals for each sensing portion of an optical fiber cable, wherein the vibration signals are acquired by a plurality of the sensing portions to detect infrastructure and are vibration signals induced by the traffic of moving objects, and the optical fiber cable is attached to the infrastructure, A frequency density estimation means for estimating the frequency density of the vibration signal detected by the sensing unit based on the aforementioned time-distance information, Similarity estimation means for estimating the similarity between a pair of sensing portions based on the frequency density, A localization means that uses map information to localize the actual location of the infrastructure sections based on the similarity, and the map information shows the fiber layout of the optical fiber cables corresponding to the physical location of each section of the infrastructure. A sensing system equipped with [the following features].

2. The dataset processing means removes the bias component from the vibration signal and standardizes the amplitude of the vibration signal to generate a time-distance matrix of the vibration signal as time-distance information. The sensing system according to claim 1.

3. The frequency density estimation means estimates the frequency density of the vibration signal of the sensing portion by applying a Fast Fourier Transform (FFT) to the columns of the time-distance matrix. The sensing system according to claim 2.

4. The similarity estimation means calculates the cross-correlation matrix between the frequency densities of the sensing portion and estimates the similarity. A sensing system according to any one of claims 1 to 3.

5. The localization means localizes the interval corresponding to the sensing portion having a similarity index exceeding a given threshold. A sensing system according to any one of claims 1 to 4.

6. The localization means localizes the section to the section of the fiber layout. A sensing system according to any one of claims 1 to 5.

7. The sensing system analyzes the structural characteristics in the section using the actual location of the section and the frequency density of the section. The sensing system according to claim 6.

8. Monitoring means for monitoring the natural frequency of the infrastructure by generating a statistical distribution showing the mean and standard deviation of the frequency using the estimated frequency density and by analyzing the statistical distribution. A sensing system according to any one of claims 1 to 7, further comprising the above.

9. Estimation means for estimating changes in structural characteristics in a specific section of the infrastructure by using the monitored natural frequencies The sensing system according to claim 8, further comprising the above.

10. Obtaining time-distance information of vibration signals for each sensing portion of an optical fiber cable, wherein the vibration signals are acquired by a plurality of sensing portions to detect infrastructure, are vibration signals induced by the traffic of moving objects, and the optical fiber cable is attached to the infrastructure. Based on the aforementioned time-distance information, the frequency density of the vibration signal detected by the sensing unit is estimated. Based on the frequency density, the degree of similarity between the pair of sensing portions is estimated, By using map information, the actual location of the infrastructure section is narrowed down based on the similarity, and the map information shows the fiber layout of the optical fiber cable corresponding to the physical location of each section of the infrastructure. A sensing method, including

11. On the computer, The method involves obtaining time-distance information of vibration signals for each sensing portion of an optical fiber cable, wherein the vibration signals are acquired by multiple sensing portions to detect infrastructure, are vibration signals induced by the traffic of moving objects, and the optical fiber cable is attached to the infrastructure. Based on the aforementioned time-distance information, the frequency density of the vibration signal detected by the sensing unit is estimated. Based on the frequency density, the degree of similarity between the pair of sensing portions is estimated, By using map information, the actual location of the infrastructure section is narrowed down based on the similarity, and the map information shows the fiber layout of the optical fiber cable corresponding to the physical location of each section of the infrastructure. A program to execute.

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