Fiber optic system for monitoring optical fibers and method thereof

Abstract

Disclosed is a fiber optic sensing (FOS) system (100) The FOS (100) includes processing circuitry (104) that is configured to monitor a plurality of optical fibers (101) in a first predefined monitoring pattern in a first sequential pattern. The plurality of optical fibers (101) are associated with a plurality of predefined paths. The processing circuitry (104) is further configured to detect an event on each predefined path of the plurality of predefined paths. The processing circuitry (104) is further configured to dynamically adapt a second predefined monitoring pattern based on the event.

Description

TITLE OF THE INVENTION“FIBER OPTIC SYSTEM FOR MONITORING OPTICAL FIBERS AND METHOD THEREOF”The following specification particularly describes the invention and the manner in which it is performed.TECHNICAL FIELD

[0001] The present disclosure relates generally to optical fiber monitoring, and more particularly relates to a fiber optic system for monitoring optical fibers and a method thereof.BACKGROUND

[0002] Monitoring of tel ecom / communi cation network requires early detection and warning of potential fiber cuts. There are certain events that could result in fiber cut, such as digging events.

[0003] Prior art reference “US20170039826A1” is related to perimeter monitoring using optical fiber sensing system. Fibers are buried in the ground for monitoring purposes and sense the vibration over the ground surface. Another prior art reference “CN111912517A” relates to a fiber-based monitoring system based on Rayleigh scattering. The system includes a IxN switch and a circulator to monitor path based on optical fiber sensors. Another prior art reference “CN104198030B” relates to monitoring of plurality of optical fiber paths based on Rayleigh scattering. The system includes a IxN photo switch and, multichannel vibration detection sensors. Another prior art reference “US10837806B2” relates to a distributed optical fiber sensor to monitor plurality of optical fiber paths and detecting event based on acoustic vibration. An analyser is used to detect an event based on the acoustic vibration.

[0004] Conventional monitoring techniques are not able to effectively monitor the optical fibers. Further, conventional monitoring techniques are limited to monitor the optical fibers up to a limited range of length of the optical fibers. Furthermore, conventional techniques switch monitoring pattern after a fixed duration to check if any unwanted event has occurred along the fiber path and does not have flexibility to configure switching.

[0005] Thus, there is a need to develop an optical fiber monitoring system that solves the aforementioned problems.SUMMARY

[0006] In an aspect of the present disclosure, a fiber optic sensing (FOS) system is disclosed. The FOS system includes processing circuitry that is configured to monitor a plurality of optical fibers in a first predefined monitoring pattern in a first sequential pattern. The plurality of optical fibers are associated with a plurality of predefined paths. The processing circuitry is further configured to detect an event on each predefined path of the plurality of predefined paths. The processing circuitry is further configured to dynamically adapt a second predefined monitoring pattern based on the event.BRIEF DESCRIPTION OF DRAWINGS

[0007] The following detailed description of the preferred aspects of the present disclosure will be better understood when read in conjunction with the appended drawings. The present disclosure is illustrated by way of example, and not limited by the accompanying figures, in which, like references indicate similar elements.

[0008] FIG. 1 illustrates a block diagram of a fiber optic sensing (FOS) system, in accordance with an aspect of the present disclosure.

[0009] FIG. 2 illustrates a block diagram of processing circuitry of the fiber optic sensing system, in accordance with an aspect of the present disclosure; and

[0010] FIG. 3 illustrates a flowchart that depicts a method for monitoring a plurality of optical fibers, in accordance with an aspect of the present disclosure.

[0011] FIG. 4 illustrates a block diagram of a fiber optic sensing (FOS) system, in accordance with another aspect of the present disclosure.DEFINITIONS

[0012] The term “optical fiber” as used herein refers to a light guide that provides high-speed data transmission. The optical fiber has one or more glass core regions and a glass cladding region. The light moving through the glass core regions of the optical fiber relies upon the principle of total internal reflection, where the glass core regions have a higher refractive index (nl) than the refractive index (n2) of the glass cladding region of the optical fiber.

[0013] The term “acoustic measurement” as used herein refers to measurement of acoustic parameters, noise measurements, or measurements of acoustic power or emission levels.

[0014] The term “Rayleigh scattering” as used herein refers to the scattering of light by particles in its path of size up to one-tenth the wavelength of the light and occurs without change of wavelength. Being wavelength dependent, this phenomenon gives nature's blue sky because of the increased scattering of blue light.

[0015] The term “periodicity” as used herein refers to frequency of sending a light signal in each optical fiber of a plurality of optical fibers.DETAILED DESCRIPTION

[0016] The detailed description of the appended drawings is intended as a description of the currently preferred aspects of the present disclosure, and is not intended to represent the only form in which the present disclosure may be practiced. It is to be understood that the same or equivalent functions may be accomplished by different aspects that are intended to be encompassed within the spirit and scope of the present disclosure.

[0017] FIG. 1 illustrates a block diagram of a fiber optic sensing (FOS) system 100 (hereinafter referred to and designated as “the system 100”), in accordance with an aspect of the present disclosure. The system 100 may be configured to facilitate anevent-based switching of a plurality of optical fibers lOla-lOln (hereinafter collectively referred to and designated as “the optical fibers 101”). Specifically, the optical fibers 101 may be monitored by integrating a Ixn switch with a distributed acoustic sensor (DAS). The system 100 may be configured to detect an event condition i.e., when the event exists and a non-event condition i.e., when the event does not exist. The system 100 may be configured to detect and classify unwanted events while monitoring the optical fibers 101. For example, the unwanted events may include, but are not limited to, walking, running, vehicle movement, digging (manual digging and / or mechanical digging), and the like. The system 100 may use physical properties of light as the light travels along a fiber of the optical fibers 101 to detect change in temperature, strain, and other parameters. The system 100 utilize the fiber of the optical fibers 101 as a sensor to create a number of continuous sensor points along the optical fiber of the optical fibers 101.

[0018] The system 100 may include a distributed acoustic sensor (DAS) 102, processing circuitry 104, and a switch 106.

[0019] The DAS 102 may facilitate continuous and real-time measurements along the entire length of an optical fiber of the optical fibers 101.

[0020] The processing circuitry 104 may be coupled to the DAS 102 and the switch 106. The processing circuitry 104 may be configured to monitor the optical fibers 101 in a first predefined monitoring pattern in a first sequential pattern. The optical fibers 101 may be associated with a plurality of predefined paths. The processing circuitry 104 may be further configured to detect an event on each predefined path of the plurality of predefined paths.

[0021] In some aspects of the present disclosure, the fibers 101 may be distributed on a single predefined path of the plurality of predefined paths or multiple predefined paths of the plurality of predefined paths.

[0022] Based on a use case or an application where the system 100 may be deployed, the processing circuitry 104 may be configured to classify the unwanted event as a critical event and a non-critical event. Preferably, the processing circuitry 104 may be configured to classify the event as the critical event and the non-critical event by way of one of, Artificial Intelligence (Al) techniques and MachineLearning (ML) techniques. The processing circuitry 104 may be further configured to determine a second predefined monitoring pattern based on the event. Specifically, the processing circuitry 104 may be configured to determine the second predefined monitoring pattern upon detection of the critical event on the predefined path of the plurality of predefined paths. The processing circuitry 104 may be further configured to dynamically adapt a second predefined monitoring pattern based on the event. Specifically, the processing circuitry 104 may be configured to dynamically adapt the second predefined monitoring pattern upon detection of the critical event on the predefined path of the plurality of predefined paths. For example, the second predefined monitoring pattern may include more frequent monitoring, compared to a normal frequency of monitoring, on the predefined path of the plurality of predefined paths where the critical event is detected. In some other examples, the second predefined monitoring pattern may include increased monitoring time on the predefined path of the plurality of predefined paths where the critical event is detected. In some other examples of the present disclosure, the second predefined monitoring pattern may include repeated monitoring on the predefined path of the plurality of predefined paths where the critical event is detected. Specifically, the second predefined monitoring pattern may include repeated monitoring on the predefined path (where the critical event is detected) after monitoring one or more other predefined paths of the plurality of predefined paths. In other words, the second predefined pattern may include returning back to the predefined path, where the critical event is detected, after monitoring one or more predefined paths of the plurality of predefined paths, rather than completion of monitoring of the plurality of predefined paths. Thus, the processing circuitry 104 may advantageously facilitate to enhance accuracy and responsiveness of the system 100. To monitor the optical fibers 101, the processing circuitry 104 may be configured to send a light pulse in each optical fiber of the optical fibers 101 periodically such that the periodicity of the light pulse is synchronized with the first predefined monitoring pattern. The processing circuitry 104 may be further configured to receive a reflected light signal from each optical fiber of the optical fibers 101. Specifically, the processing circuitry 104 may beconfigured to receive the reflected light signal from each optical fiber of the optical fibers 101 due to Rayleigh scattering.

[0023] To detect an event, the processing circuitry 104 may be configured to detect a disturbance in the reflected light signal due to a vibration occurred over a predefined path of the plurality of predefined paths. The processing circuitry 104 may be further configured to detect a vibration over a predefined path of the plurality of predefined paths occurred due to the event.

[0024] In some aspects of the present disclosure, the system 100 may be implemented in security -based applications, such as in a perimeter security. While the system 100 being implemented in the security -based applications, therefore, the system 100 may be able to detect an intruder on the predefined path of the plurality of predefined paths where the critical event is detected. In some examples, the critical event, while the system 100 is implemented in the security -based applications, may include, but not limited to, human movement and manual digging. In such a scenario, the non-critical event may be presence of the vehicle beyond a perimeter.

[0025] In some aspects of the present disclosure, the system 100 may be implemented in a metropolitan city for monitoring the optical fibers 101. Specifically, the system 100 may be able to detect breakage in any fiber of the optical fibers 101. In such a scenario, the critical event may include machine digging and the non-critical event may include walking pedestrian. Thus, the system 100 may classify the unwanted events as the critical event or the non-critical event based on the application where the system 100 is implemented.

[0026] In some aspects of the present disclosure, the processing circuitry 104 may be configured to dynamically adapt the second predefined monitoring pattern upon detection of the critical event on one or more predefined paths of the plurality of predefined paths.

[0027] In some aspects of the present disclosure, the second predefined monitoring pattern may include (i) increased monitoring time on the predefined path where the critical event is detected, (ii) repeated monitoring on the predefined path, where the critical event is detected, after monitoring another predefined path of the pluralityof predefined paths, and (iii) repeated monitoring on the predefined path, where the critical event is detected, after monitoring one or more another predefined paths of the plurality of predefined paths.

[0028] In some aspects of the present disclosure, the processing circuitry 104 may be configured to monitor each of the distributed fiber and each of the fiber of the optical fibers 101.

[0029] In some aspects of the present disclosure, the critical event may include, but not limited to, manual or mechanical digging in data network or pipeline monitoring applications, human movement, vehicle movement, digging and applications of tunneling for perimeter security.

[0030] In some aspects of the present disclosure, the non-critical event may include, but not limited to, human movement for data network monitoring.

[0031] In some aspects of the present disclosure, the processing circuitry 104 may be configured to monitor the optical fibers 101 based on an acoustic measurement in the optical fibers 101 due to Rayleigh scattering.

[0032] In some aspects of the present disclosure, to dynamically adapt the second predefined monitoring pattern, the processing circuitry 104 may be configured to monitor the predefined path associated with the event on priority.

[0033] In some aspects of the present disclosure, the reflected light signal under non-event conditions depends on background noise.

[0034] In some aspects of the present disclosure, the reflected light pulse under an event condition depends on at least one of, a strength of the event, a distance of the event from the optical fiber cable, soil conditions, fiber deployment conditions (directly buried or duct buried), and a design of an optical fiber cable for the optical fibers 101. For example, the optical fiber cable may be armoured optical fiber cable, non-armoured optical fiber cable, loose tube optical fiber cable, tight buffer optical fiber cable, dry optical fiber cable, gel-filled optical fiber cable, and the like. Aspects of the present disclosure are intended to include and / or otherwise cover any design of the optical fiber cable, without deviating from the scope of the present disclosure.

[0035] In some aspects of the present disclosure, the processing circuitry 104 may be further configured to sub-classify the detected event based on a criticality of the event determined based on the reflected pattern.

[0036] In some aspects of the present disclosure, the processing circuitry 104 may be configured to classify the unwanted event as the critical event and the non- critical event based on pattern and not on intensity of the reflected light signal or event strengths.

[0037] In some aspects of the present disclosure, to dynamically adapt the second predefined monitoring pattern, the processing circuitry 104 may be configured to select one of the second predefined monitoring pattern from a plurality of predefined monitoring patterns based on a classification and a sub classification of the event. The processing circuitry 104 may be further configured to seamlessly transit to the second predefined monitoring pattern associated with the classification and the sub classification of the event.

[0038] In some aspects of the present disclosure, the reflected light signal may change upon detection of the critical event on the predefined path of the plurality of predefined paths. The detection of the critical event on the predefined path of the plurality of predefined paths may be done by taking difference between perturbed and unperturbed traces. In some examples, the processing circuitry 104 may execute a suitable algorithm to detect the critical event on the predefined path of the plurality of predefined paths.

[0039] The switch 106 may be configured to facilitate the processing circuitry 104 to dynamically adapt the second predefined monitoring pattern based on the event. Specifically, the switch 106 may facilitate to change or shift monitoring to the predefined path on which the critical event is detected. In other words, the switch 106 may be configured to monitor the predefined path of the plurality of predefined paths where the critical event is detected.

[0040] In some aspects of the present disclosure, the switch 106 may be one of, an internal switch i.e., integrated with the DAS 102 and an external switch i.e., may be external to the DAS 102.

[0041] In some aspects of the present disclosure, the switch 106 may be a 1XN switch that may facilitate monitoring N number of ports via the optical fibers 101 such that each port of the N number of ports may be attached to a single fiber of the optical fibers 101 that may be distributed along a predefined monitoring path. The term “predefined monitoring path” may represent the predefined path of the plurality of predefined paths that may be monitored by the processing circuitry 104. The number of ports that may be monitored depends on time required to monitor each predefined path of the plurality of predefined paths.

[0042] In some aspects of the present disclosure, the switch 106 may be configured to change or shift the monitoring pattern on the predefined path where the critical event is detected. Specifically, the switch 106 may be configured to change or shift the monitoring time on the plurality of predefined paths to check for the critical event, if any on the plurality of predefined paths. The monitoring time may depend on the criticality of the event.

[0043] In some exemplary aspects of the present disclosure, the switch 106 may be configured to change or shift the monitoring pattern in a predefined period of time upon detection of the critical event when the critical event is the mechanical digging or the manual digging. For example, the predefined period of time may be in a range of 10 seconds to 60 seconds. In some other examples, the predefined period of time may be in a range of 1 minute to 5 minutes.

[0044] In some aspects of the present disclosure, the system 100 may include an alert unit (not shown). The alert unit may facilitate generation of an alert upon detection of the predefined path of the plurality of predefined paths where the critical event is detected. The alert may be based on the criticality of the event that may be detected. For example, the alert may include, but not limited to, a buzzer sound, a notification such as a text message, and the like. Aspects of the present disclosure are intended to include and / or otherwise cover any type of the alert, without deviating from the scope of the present disclosure. Since the predefined path where the critical event is detected is monitored multiple times in accordance with the second predefined monitoring pattern, therefore, the alerts may also be generated multiple times. In some examples, there may be variation in generationof the alert. For example, the alert may be only a notification upon first time detection of the critical event on the predefined path of the plurality of predefined paths, the alert may be only a buzzer sound upon detection of the critical event on the predefined path of the plurality of predefined paths.

[0045] FIG. 2 illustrates a block diagram of the processing circuitry 104 of the fiber optic sensing (FOS) system 100, in accordance with an aspect of the present disclosure.

[0046] The processing circuitry 104 may include a plurality of engines such as a monitoring engine 202, an event detection engine 204, a pattern determination engine 206, and a pattern adaptation engine 208. The monitoring engine 202, the event detection engine 204, the pattern determination engine 206, the pattern adaptation engine 208 may be communicatively coupled to each other by way of a communication bus 210. It will be apparent to a person having ordinary skill in the art that the processing circuitry 104 is for illustrative purposes and not limited to any specific combination of hardware circuitry and / or software.

[0047] The monitoring engine 202 may be configured to facilitate the processing circuitry 104 to monitor the optical fibers 101 in the first predefined monitoring pattern in the first sequential pattern. The optical fibers 101 may be associated with the plurality of predefined paths. The monitoring engine 202 may be configured to facilitate the processing circuitry 104 to monitor the optical fibers 101 by sending the light pulse in each optical fiber of the optical fibers 101 periodically such that the periodicity of the light pulse is synchronized with the first predefined monitoring pattern. The monitoring engine 202 may be further configured to facilitate the processing circuitry 104 to receive the reflected light signal from each optical fiber of the optical fibers 101. Specifically, the monitoring engine 202 may be configured to facilitate the processing circuitry 104 to receive the reflected light signal from each optical fiber of the optical fibers 101 due to Rayleigh scattering.

[0048] The event detection engine 204 may be configured to facilitate the processing circuitry 104 to detect the unwanted event on each predefined path of the plurality of predefined paths. The event detection engine 204 may be further configured to facilitate the processing circuitry 104 to classify the unwanted eventas the critical event and the non-critical event. Specifically, the event detection engine 204 may facilitate to implement one of the Al techniques and ML techniques to classify the event as the critical event and the non-critical event. The event detection engine 204 may be configured to facilitate the processing circuitry 104 to detect the event by detecting the disturbance in the reflected light signal due to the vibration occurred over the predefined path of the plurality of predefined paths. The event detection engine 204 may be configured to facilitate the processing circuitry 104 to detect the vibration over the predefined path of the plurality of predefined paths occurred due to the event.

[0049] The pattern determination engine 206 may be configured to determine the second predefined monitoring pattern based on the event. Specifically, the pattern determination engine 206 may be configured to facilitate the processing circuitry 104 to determine the second predefined monitoring pattern upon detection of the critical event on the predefined path of the plurality of predefined paths.

[0050] The pattern adaptation engine 208 may be configured to facilitate the processing circuitry 104 to dynamically adapt the second predefined monitoring pattern based on the event. Specifically, the pattern adaptation engine 208 may be configured to facilitate the processing circuitry 104 to dynamically adapt the second predefined monitoring pattern upon detection of the critical event on the predefined path of the plurality of predefined paths.

[0051] FIG. 3 illustrates a flowchart that depicts a method 300 for monitoring the optical fibers 101, in accordance with an aspect of the present disclosure. The method 300 may include following steps for monitoring the optical fibers 101 : -

[0052] At step 302, the system 100 may be configured to monitor the optical fibers 101 in the first predefined monitoring pattern in the first sequential pattern. Specifically, the system 100, by way of the processing circuitry 104, may be configured to monitor the optical fibers 101 in the first predefined monitoring pattern in the first sequential pattern. The system 100 may be configured to monitor the optical fibers 101 by sending the light pulse in each optical fiber of the optical fibers 101 periodically such that a periodicity of the light pulse is synchronized with the first predefined monitoring pattern. The system 100 may be further configuredto receive the reflected light signal from each optical fiber of the optical fibers 101. Specifically, the system 100 may be configured to receive the reflected light signal from each optical fiber of the optical fibers 101 due to Rayleigh scattering.

[0053] At step 304, the system 100 may be configured to detect the unwanted event on each predefined path of the plurality of predefined paths. Specifically, the system 100, by way of the processing circuitry 104, may be configured to detect the unwanted event on each predefined path of the plurality of paths. The system 100 may be configured to classify the unwanted event as the critical event and the non- critical event. Specifically, the system 100 may be configured to classify the unwanted event as the critical event and the non-critical event by way of the Al techniques and the ML techniques. The system 100 may be configured to detect the event by detecting the disturbance in the reflected light signal due to the vibration occurred over the predefined path of the plurality of predefined paths. The system 100 may be configured to detect the vibration over the predefined path of the plurality of predefined paths occurred due to the event.

[0054] At step 306, the system 100 may be configured to determine the second predefined monitoring pattern based on the event. Specifically, the system 100, by way of the processing circuitry 104, may be configured to determine the second predefined monitoring pattern based on the event. The system 100 may be configured to determine the second predefined monitoring pattern upon detection of the critical event on the predefined path of the plurality of predefined paths.

[0055] At step 308, the system 100 may be configured to dynamically adapt the second predefined monitoring pattern based on the event. Specifically, the system 100, by way of the processing circuitry 104, may be configured to dynamically adapt the second predefined monitoring pattern based on the event. The system 100 may be configured to dynamically adapt the second predefined monitoring pattern upon detection of the critical event on the predefined path of the plurality of predefined paths.

[0056] FIG. 4 illustrates a block diagram of a fiber optic sensing (FOS) system 100 with integration of an optical time domain reflectometer (OTDR). In another aspect, the FOS system 100 includes integration of DAS 102 and an optical time domainreflectometer (OTDR) 108 along with the processing circuitry 104 for holistic monitoring of the plurality of optical fibers 101. The OTDR 108 is used to characterize optical fiber attenuation as well as fiber faults such as splices, connectors and fiber bending. The OTDR 108 has a laser source, a photodetector and a timing circuitry. A light pulse is launched into the fiber under test (FUT) from a laser source at a specific wavelength. The launched light pulse is backscattered and detected by the photodetector in the OTDR 108. The backscattered signal is analyzed for details of attenuation, splices, connectors etc. Further, time taken for the backscattered signal to arrive back at the detector gives the location in the optical fiber. Such integrated solution monitors both intrusion events such as digging as well as fiber attenuation and events such as splices, connectors etc.

[0057] In some aspect, as the DAS 102 monitors only one optical fiber at a time, the data that needs to be processed and stored is the same as that of a single fiber monitoring. In contrast, the required system memory scales in proportion to the number of fibers 101 in case of concurrent monitoring. Additionally, the FOS system 100 may have a GPU for monitoring pattern switching during dynamic monitoring of the plurality of fibers 101. GPU processing requirements will be the same as that of a single fiber monitoring. In contrast, the GPU processing power requirement scales with number of fibers in case of concurrent monitoring.

[0058] Thus, the system 100 may advantageously facilitate efficient monitoring of the optical fibers 101 by classifying the event as the critical event and the non- critical event. The system 100 may advantageously facilitate efficient monitoring of the optical fibers 101 by changing / switching monitoring pattern based on the criticality of the detected event. The system 100 may advantageously facilitate increased monitoring range per unit length of the predefined path of the plurality of predefined paths. The system 100 may advantageously provide a cheaper / economi cal solution while monitoring of the optical fibers 101 per kilometers of the optical fibers 101. The system 100 may advantageously facilitate switching across various monitoring patterns and thus ensures optimum monitoring of the optical fibers 101. For example, the system 100 may facilitate dedicating more monitoring time on the predefined path of the plurality of predefined pathswhere the event is detected. The system 100 may advantageously reduce time required for monitoring the optical fibers 101.

[0059] While various aspects of the present disclosure have been illustrated and described, it will be clear that the present disclosure is not limited to these aspects only. Numerous modifications, changes, variations, substitutions, and equivalents will be apparent to those skilled in the art, without departing from the spirit and scope of the present disclosure, as described in the claims. Further, unless stated otherwise, terms such as “first” and “second” are used to arbitrarily distinguish between the elements such terms describe. Thus, these terms are not necessarily intended to indicate temporal or other prioritization of such elements.

Claims

CLAIMSWe Claim(s):

1. A fiber optic sensing (FOS) system (100) comprising: processing circuitry (104) configured to: monitor a plurality of optical fibers (101) in a first predefined monitoring pattern in a first sequential pattern, where the plurality of optical fibers (101) are associated with a plurality of predefined paths; detect an event on each predefined path of the plurality of predefined paths; and dynamically adapt a second predefined monitoring pattern based on the event.

2. The FOS system (100) of claim 1, where the processing circuitry (104) is configured to monitor the plurality of optical fibers (101) based on an acoustic measurement in the plurality of optical fibers (101) due to Rayleigh scattering.

3. The FOS system (100) of claim 1, where, to monitor the plurality of optical fibers (101), the processing circuitry (104) is configured to: send a light pulse in each of the plurality of optical fibers (101) periodically such that a periodicity of the light pulse is synchronized with the first predefined monitoring pattern; and receive and process a reflected light signal from each optical fiber of the plurality of optical fibers (101) due to Rayleigh scattering.

4. The FOS system (100) of claim 3, where, to detect the event, the processing circuitry (104) is configured to: detect a disturbance in the reflected light signal due to a vibration occurred over a predefined path of the plurality of predefined paths; and detect a vibration over the predefined path of the plurality of predefined paths occurred due to the event.

5. The FOS system (100) of claim 1, where to dynamically adapt the second predefined monitoring pattern, the processing circuitry (104) is configured to monitor a predefined path associated with the event on priority.

6. The FOS system (100) of claim 3, where the reflected light under non-event conditions depends on background noise.

7. The FOS system (100) of claim 1, where the reflected light under an event condition depends on at least one of, a strength of the event, a distance of the event from an optical fiber cable, soil conditions, fiber deployment conditions, and a design of the optical fiber cable.

8. The FOS system (100) of claim 1, where the processing circuitry (104) is further configured to sub-classify a detected event on a criticality of the event determined based on a reflected pattern.

9. The FOS system (100) of claim 1, where to dynamically adapt the second predefined monitoring pattern, the processing circuitry (104) is configured to: select one of the second predefined monitoring pattern from a plurality of predefined monitoring patterns based on a classification and a sub classification of the event; and seamlessly transit to the second predefined monitoring pattern associated with classification and the sub classification of the event.

Images