Monitoring system, monitoring device, and monitoring method

Abstract

A monitoring system according to the present disclosure comprises: an optical fiber (10) that has been laid in a prescribed area; an acquisition unit (22) that acquires a video which was captured in the prescribed area; a detection unit (21) that detects an abnormality which has occurred in the prescribed area, by performing sensing using the optical fiber (10) as a sensor; a determination unit (23) that determines whether the cause of the detected abnormality can be inferred on the basis of information included in the video; and a notification unit (24) that, when the determination results indicate that the cause of the detected abnormality cannot be inferred, determines that the detected abnormality is an unknown abnormality, and provides notification of an alarm.

Description

[Technical Field]

[0001] The present disclosure relates to a monitoring system, a monitoring device, and a monitoring method. [Background Art]

[0002] In recent years, for the advancement of traffic and the maintenance and management of road infrastructure, there has been a demand for wide-ranging and efficient management of traffic conditions such as traffic accidents and road conditions such as road surface conditions. In response to the above demand, in a monitoring system called the related-art 5G (Fifth Generation) signal system, traffic conditions and road conditions at intersections are monitored using camera images captured by cameras.

[0003] Recently, traffic conditions and road conditions are also monitored by optical fiber sensing that uses an optical fiber as a sensor (for example, Patent Document 1). Optical fiber sensing can detect vibration and sound caused by abnormalities occurring around the optical fiber. Therefore, in optical fiber sensing, in addition to merely detecting abnormalities occurring around the optical fiber, the cause of the abnormality (for example, a traffic accident occurring on a road) is also estimated by performing matching with camera images. [Prior Art Documents] [Patent Documents]

[0004] [Patent Document 1] International Publication No. 2021 / 038695 [Summary of the Invention] [Problem to be Solved by the Invention]

[0005] However, there are cases where the cause of an abnormality detected by optical fiber sensing cannot be estimated from camera images. For example, if an anomaly occurs, such as a burst water pipe under a road, this anomaly can be detected by fiber optic sensing. However, since water pipes are not visible in camera footage, it is not possible to infer from the camera footage that the cause of the anomaly is a burst water pipe.

[0006] As described above, anomalies whose causes cannot be estimated from camera footage or other sources require additional action and investigation. Therefore, there is a need to efficiently detect anomalies whose causes cannot be estimated.

[0007] Therefore, the purpose of this disclosure is to provide a monitoring system, monitoring device, and monitoring method that can efficiently detect anomalies whose causes cannot be estimated, in light of the above-mentioned problems. [Means for solving the problem]

[0008] A monitoring system in one aspect is: Optical fibers laid in a designated area, An acquisition unit that acquires video footage taken in the aforementioned predetermined area, A detection unit that detects an anomaly occurring in a predetermined area by performing sensing using the optical fiber as a sensor, A determination unit that determines whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, The system includes a notification unit that, if the determination result indicates that the cause of the detected anomaly cannot be estimated, determines the detected anomaly to be an unknown anomaly and notifies an alarm.

[0009] A monitoring device in one aspect is: An acquisition unit that acquires video footage taken in a designated area where optical fibers are laid, A detection unit that detects an anomaly occurring in a predetermined area by performing sensing using the optical fiber as a sensor, A determination unit that determines whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, The system includes a notification unit that, if the determination result indicates that the cause of the detected anomaly cannot be estimated, determines the detected anomaly to be an unknown anomaly and notifies an alarm.

[0010] One monitoring method is: A monitoring method using a monitoring device, An acquisition step to acquire video footage taken in a designated area where optical fiber is laid, A first detection step involves performing sensing using the optical fiber as a sensor to detect an abnormality occurring in the predetermined area, A first determination step of determining whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, The system includes a first notification step in which, if the determination result indicates that the cause of the detected anomaly cannot be estimated, the detected anomaly is determined to be an unknown anomaly and an alarm is issued. [Effects of the Invention]

[0011] According to the above-described embodiment, the effect is obtained that a monitoring system, monitoring device, and monitoring method can be provided that can efficiently detect anomalies whose causes cannot be estimated. [Brief explanation of the drawing]

[0012] [Figure 1] This figure shows an example configuration of the monitoring system according to Embodiment 1. [Figure 2] This figure shows an example of a correspondence table held by the detection unit according to Embodiment 1. [Figure 3] This figure shows a specific example of an abnormality determined by the determination unit according to Embodiment 1. [Figure 4] This figure shows another specific example of an abnormality determined by the determination unit according to Embodiment 1. [Figure 5] This is a flowchart showing an example of the general operation flow of the monitoring system according to Embodiment 1. [Figure 6]It is a flow diagram illustrating an example of a schematic operation flow of the monitoring system according to the second embodiment. [Figure 7] It is a block diagram illustrating an example of a hardware configuration of a computer that implements the monitoring devices according to the first and second embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Note that the following description and drawings are appropriately omitted and simplified for clarification of explanation. In addition, in each of the following drawings, the same elements are denoted by the same reference numerals, and duplicate explanations are omitted as necessary. Furthermore, in the present disclosure, an optical fiber is laid in a predetermined area to be monitored. In each embodiment described below, the description is given on the assumption that the monitoring target is a road and the optical fiber is laid on the road.

[0014] <First Embodiment> First, a configuration example of the monitoring system according to the first embodiment will be described with reference to FIG. 1. As shown in FIG. 1, the monitoring system according to the first embodiment includes an optical fiber 10 and a monitoring device 20.

[0015] The optical fiber 10 is buried under the road 40 along the road 40 that is the monitoring target. In FIG. 1, the optical fiber 10 is arranged above the water pipe 41, but the arrangement is not limited thereto, and the optical fiber 10 may be arranged below the water pipe 41.

[0016] The monitoring device 20 is a device for monitoring the road 40 that is the monitoring target, and is implemented by, for example, a sensing device such as a Distributed Fiber Optic Sensing (DFOS) device. The monitoring device 20 includes a detection unit 21, an acquisition unit 22, a determination unit 23, and a notification unit 24.

[0017] The detection unit 21 is connected to the optical fiber 10 and performs optical fiber sensing (hereinafter simply referred to as "sensing") using the optical fiber 10 as a sensor. The sensing performed by the detection unit 21 will be described in detail below.

[0018] The detection unit 21 transmits pulsed light to the optical fiber 10. The detection unit 21 also receives backscattered light generated as a result of the transmission of pulsed light through the optical fiber 10 as an optical signal from the optical fiber 10.

[0019] When vibrations or sound occur around the optical fiber 10, these vibrations or sound are transmitted to the optical fiber 10, and the characteristics (e.g., wavelength) of the optical signal transmitted through the optical fiber 10 change. Therefore, the detection unit 21 can detect vibrations and sounds transmitted to the optical fiber 10 based on the optical signals received from the optical fiber 10, and can also detect the intensity of vibrations and sounds.

[0020] Furthermore, the detection unit 21 can determine the location where the optical signal originated, that is, the location where the vibration or sound detected based on the optical signal originated (the distance of the optical fiber 10 from the monitoring device 20), based on the time difference between the time when pulse light was transmitted to the optical fiber 10 and the time when the optical signal was received from the optical fiber 10.

[0021] Furthermore, the detection unit 21 has a pre-stored correspondence table that shows the distance from the monitoring device 20 on the optical fiber 10 and the latitude / longitude at that distance. An example of the correspondence table is shown in Figure 2. Therefore, by using the correspondence table shown in Figure 2, the detection unit 21 can identify the latitude / longitude of the location where vibration or sound occurred. For example, in the example in Figure 2, if vibration occurs at a location on the optical fiber 10 at a distance a from the monitoring device 20, the detection unit 21 identifies the location where the vibration occurred as a location with latitude / longitude Xa / Ya.

[0022] Furthermore, the correspondence table is not limited to being held by the detection unit 21. For example, any component inside or outside the monitoring device 20 may hold the correspondence table, and the detection unit 21 may read and use that correspondence table.

[0023] Thus, the detection unit 21 is capable of detecting vibrations and sounds generated around the optical fiber 10, detecting the intensity of those vibrations and sounds, and identifying the location where those vibrations and sounds originated (the distance of the optical fiber 10 from the monitoring device 20; latitude / longitude if a correspondence table is used).

[0024] Therefore, the detection unit 21 can generate sensing data of vibrations and sounds generated around the optical fiber 10 based on the optical signals received from the optical fiber 10. For example, the sensing data may be such as sensing data with the distance of the optical fiber 10 from the monitoring device 20 on the horizontal axis and the intensity of vibrations and sounds generated at that distance on the vertical axis, or sensing data with the distance of the optical fiber 10 from the monitoring device 20 on the horizontal axis and the time elapsed of vibrations and sounds generated at that distance on the vertical axis.

[0025] The detection unit 21 then compares the vibration and sound sensing data generated in the manner described above with past sensing data. Past sensing data is, for example, sensing data from when some kind of abnormality occurred on the road 40 in the past. In this case, for example, the detection unit 21 performs pattern matching by comparing the pattern of the generated sensing data with the pattern of the past sensing data. If the pattern matching result is above a threshold, the detection unit 21 determines that an abnormality has occurred around the optical fiber 10.

[0026] The detection unit 21 detects abnormalities occurring around the optical fiber 10, that is, abnormalities occurring on the road 40, by performing the sensing described above.

[0027] The acquisition unit 22 acquires video footage captured by the camera 30 on the road 40. In Figure 1, the acquisition unit 22 acquires the video footage from the camera 30 via a wireless connection, but it is not limited to this. The acquisition unit 22 may also acquire the video footage from the camera 30 via an optical fiber 10 or other wired connection.

[0028] In situations where an abnormality has been detected by the detection unit 21, the determination unit 23 determines whether or not it is possible to estimate the cause of the abnormality detected by the detection unit 21 based on the information contained in the video footage from the camera 30 acquired by the acquisition unit 22.

[0029] When an abnormality is detected by the detection unit 21, the notification unit 24 determines the abnormality detected by the detection unit 21 to be an unknown abnormality and issues an alarm if the determination result by the determination unit 23 indicates that the cause of the abnormality detected by the detection unit 21 cannot be estimated. The alarm can be sent to a terminal in a management system that manages the road 40 or in a management room that manages the road 40. The alarm can also be sent by displaying a GUI (Graphical User Interface) screen on the recipient's display or monitor, or by outputting a message as audio from the recipient's speaker.

[0030] On the other hand, the notification unit 24 does not issue an alarm if, in a situation where an abnormality has been detected by the detection unit 21, the determination result from the determination unit 23 indicates that the cause of the abnormality detected by the detection unit 21 can be estimated. Furthermore, the notification unit 24 does not issue an alarm even if no abnormality has been detected by the detection unit 21.

[0031] Here, with reference to Figures 3 and 4, specific examples of abnormalities that the determination unit 23 determines will be explained.

[0032] In the example shown in Figure 3, a traffic accident occurs on road 40 in which two vehicles collide, and the detection unit 21 detects this traffic accident as an anomaly. At this time, the circumstances of the traffic accident are captured in the video footage from camera 30. Therefore, the determination unit 23 determines that it can estimate the cause of the abnormality detected by the detection unit 21.

[0033] On the other hand, in the example shown in Figure 4, a water pipe 41 buried beneath the road 40 bursts, and the detection unit 21 detects this burst as an anomaly. At this time, the burst of the water pipe 41 is not visible in the image captured by the camera 30. Therefore, the determination unit 23 determines that it cannot estimate the cause of the abnormality detected by the detection unit 21.

[0034] Next, with reference to Figure 5, an example of the general operation flow of the monitoring system according to this embodiment 1 will be described. As shown in Figure 5, the acquisition unit 22 acquires video footage captured by the camera 30 on the road 40 (step S11). The detection unit 21 detects any abnormalities occurring on the road 40 by performing sensing using the optical fiber 10 as a sensor (step S12).

[0035] When the detection unit 21 detects an abnormality, the determination unit 23 determines whether or not it can estimate the cause of the abnormality detected by the detection unit 21 based on the information contained in the video footage from the camera 30 acquired by the acquisition unit 22 (step S13).

[0036] If the determination result from the determination unit 23 indicates that the cause of the abnormality detected by the detection unit 21 cannot be estimated (Yes in step S13), the notification unit 24 determines that the abnormality detected by the detection unit 21 is an unknown abnormality and notifies an alarm (step S14). On the other hand, if the determination result from the determination unit 23 indicates that the cause of the abnormality detected by the detection unit 21 has been estimated (No. in step S13), the notification unit 24 does not notify an alarm.

[0037] As described above, according to this embodiment 1, the acquisition unit 22 acquires video footage captured by the camera 30 on the road 40. The detection unit 21 detects abnormalities occurring on the road 40 by performing sensing using the optical fiber 10 as a sensor. The determination unit 23 determines whether or not the cause of the detected abnormality can be estimated based on the information contained in the video footage from the camera 30. If the determination result indicates that the cause of the detected abnormality cannot be estimated, the notification unit 24 determines the known abnormality to be an unknown abnormality and notifies an alarm.

[0038] Therefore, even if an anomaly is detected by the sensing unit 21, an alarm is issued if the cause of the anomaly cannot be estimated from the video. This makes it possible to efficiently detect unknown anomalies whose causes cannot be estimated.

[0039] <Embodiment 2> This second embodiment has the same configuration as the first embodiment described above, but it adds subsequent actions when the cause of the anomaly can be estimated from the video footage of the camera 30. Specifically, in this second embodiment, if the cause of an anomaly can be estimated from the video footage of the camera 30, the alarm notification is withheld, the sensing mode of the detection unit 21 is changed, and the detection unit 21 continues to detect whether any anomalies other than those whose causes can be estimated from the video footage of the camera 30 have occurred. As a result, if an unknown anomaly whose cause cannot be estimated from the video footage of the camera 30 is detected, an alarm is notified, and if no such unknown anomaly is detected, no alarm is notified.

[0040] The following describes in detail the operations of this second embodiment that have been added from the first embodiment described above. When an abnormality is detected by the detection unit 21, if the determination result by the judgment unit 23 indicates that the cause of the abnormality detected by the detection unit 21 can be estimated, the notification unit 24 will withhold the alarm notification. The detection unit 21 will also change the sensing mode and perform sensing to re-detect the abnormality that occurred on the road 40.

[0041] In this second embodiment, the sensing mode of the detection unit 21 is assumed to be changed as follows. For example, the detection unit 21 changes the sensing accuracy and performs sensing. For example, suppose the sensing data used for sensing is vibration sensing data with the distance of the optical fiber 10 from the monitoring device 20 on the horizontal axis and the intensity of vibrations and sounds generated at that distance on the vertical axis. Also, suppose that before changing the sensing accuracy, the detection unit 21 performed sensing using data in which the intensity of vibrations and sounds was equal to or greater than a first threshold. In this case, after changing the sensing accuracy, the detection unit 21 sets the threshold to a second threshold that is smaller than the first threshold, and performs sensing using data in which the intensity of vibrations and sounds is equal to or greater than the second threshold. In other words, after changing the sensing accuracy, the detection unit 21 performs sensing using more data.

[0042] Alternatively, the detection unit 21 changes the sensing items and performs sensing. For example, suppose that before changing the sensing items, the detection unit 21 performed sensing using only vibration sensing data. In this case, after changing the sensing items, the detection unit 21 performs sensing using both vibration and sound sensing data.

[0043] Alternatively, the detection unit 21 changes the sensing interval and performs sensing. For example, suppose that before changing the sensing interval, the detection unit 21 performed sensing using data after thinning the sensing data by a first thinning rate. In this case, after changing the sensing interval, the detection unit 21 sets the thinning rate to a second thinning rate which is smaller than the first thinning rate, and performs sensing using data after thinning the sensing data by the second thinning rate. In other words, after changing the sensing interval, the detection unit 21 performs sensing using more data.

[0044] Alternatively, the detection unit 21 performs sensing by changing the number of past sensing data that it compares with the sensing data generated based on the optical signal received from the optical fiber 10. For example, suppose that before changing the number of data, the detection unit 21 performed sensing by comparing the generated sensing data with only one representative past sensing data. In this case, after changing the number of data, the detection unit 21 performs sensing by comparing the generated sensing data with multiple past sensing data.

[0045] In situations where the detection unit 21 has re-detected an anomaly, the determination unit 23 determines whether or not it can estimate the cause of the anomaly re-detected by the detection unit 21 based on the information contained in the video footage from the camera 30 acquired by the acquisition unit 22.

[0046] When an abnormality is re-detected by the detection unit 21, and the determination result by the determination unit 23 indicates that the cause of the abnormality re-detected by the detection unit 21 cannot be estimated, the notification unit 24 determines the abnormality re-detected by the detection unit 21 to be an unknown abnormality and notifies an alarm.

[0047] On the other hand, the notification unit 24 does not issue an alarm if, in a situation where the detection unit 21 has re-detected an abnormality, the determination result from the determination unit 23 indicates that the cause of the abnormality re-detected by the detection unit 21 can be estimated. Furthermore, the notification unit 24 does not issue an alarm even if the detection unit 21 has not re-detected an abnormality.

[0048] Applying this second embodiment to the examples in Figures 3 and 4, the results are as follows. For example, suppose the detection unit 21 detects a traffic accident as an anomaly, as shown in the example in Figure 3. In this case, the determination unit 23 determines that it can estimate the cause of the detected anomaly. Therefore, the notification unit 24 postpones the alarm notification, and the detection unit 21 changes the sensing mode, performs sensing, and continues to detect the anomaly.

[0049] Subsequently, suppose the detection unit 21 detects a burst in the water pipe 41 as an abnormality, as in the example shown in Figure 4. In this case, the determination unit 23 determines that it cannot estimate the cause of the re-detected abnormality. Therefore, the notification unit 24 issues an alarm.

[0050] Next, with reference to Figure 6, an example of the general operation flow of the monitoring system according to this second embodiment will be described. As shown in Figure 6, first, the same process as steps S11 to S13 shown in Figure 5, steps S21 to S23, is performed.

[0051] If the determination result from the determination unit 23 indicates that the cause of the abnormality detected by the detection unit 21 cannot be estimated (Yes in step S23), the notification unit 24 determines that the abnormality detected by the detection unit 21 is an unknown abnormality and notifies an alarm (step S24).

[0052] On the other hand, if the determination result by the determination unit 23 indicates that the cause of the abnormality detected by the detection unit 21 can be estimated (No. in step S23), the notification unit 24 suspends the notification of the alarm, and the detection unit 21 changes the sensing mode (step S25) and performs sensing to re-detect the abnormality that occurred on the road 40 (step S26).

[0053] When the detection unit 21 re-detects an abnormality, the determination unit 23 determines whether or not it can estimate the cause of the abnormality re-detected by the detection unit 21 based on the information contained in the video footage from the camera 30 acquired by the acquisition unit 22 (step S27).

[0054] If the determination result from the determination unit 23 indicates that the cause of the abnormality re-detected by the detection unit 21 cannot be estimated (Yes in step S27), the notification unit 24 determines that the abnormality re-detected by the detection unit 21 is an unknown abnormality and notifies an alarm (step S28). On the other hand, if the determination result by the determination unit 23 indicates that the cause of the abnormality re-detected by the detection unit 21 can be estimated (No. in step S27), the notification unit 24 does not notify an alarm.

[0055] As described above, according to this embodiment 2, if the judgment result indicates that the cause of the detected anomaly can be estimated, the detection unit 21 changes the sensing mode and performs sensing to re-detect the anomaly that occurred on the road 40. The judgment unit 23 determines whether or not the cause of the re-detected anomaly can be estimated based on the information contained in the video from the camera 30. If the judgment result indicates that the cause of the re-detected anomaly cannot be estimated, the notification unit 24 determines the re-detected anomaly to be an unknown anomaly and notifies an alarm.

[0056] Therefore, even if the cause of an anomaly can be estimated from the video, the sensing mode of the detection unit 21 is changed to continue detection to check for any other anomalies besides the one whose cause has been estimated. As a result, if an unknown anomaly whose cause cannot be estimated is detected, an alarm is issued. This makes it possible to detect unknown anomalies whose causes cannot be estimated even more efficiently.

[0057] <Other Embodiments> In the embodiment 1 described above, only one detection unit 21 is provided, but the invention is not limited to this. For example, if multiple optical fibers 10 are provided to monitor more roads 40, multiple detection units 21 may be provided, each corresponding to one of the multiple optical fibers 10. In this case, the detection unit 21 is connected only to the corresponding optical fiber 10, and sensing is performed using only the corresponding optical fiber 10 as a sensor.

[0058] <Hardware configuration of the monitoring device according to Embodiment 1> Next, with reference to Figure 7, an example of the hardware configuration of a computer 90 that implements the monitoring device 20 according to the above-described embodiments 1 and 2 will be explained.

[0059] As shown in Figure 7, the computer 90 includes a processor 91, memory 92, storage 93, input / output interface (I / F) 94, and communication interface (Communication I / F) 95. The processor 91, memory 92, storage 93, input / output interface 94, and communication interface 95 are connected to each other by a data transmission path for sending and receiving data.

[0060] The processor 91 is a processing unit such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). The memory 92 is a type of memory such as RAM (Random Access Memory) or ROM (Read Only Memory). The storage 93 is a storage device such as an HDD (Hard Disk Drive), SSD (Solid State Drive), or memory card. The storage 93 may also be a type of memory such as RAM or ROM.

[0061] The storage device 93 stores programs that implement the functions of the components of the monitoring device 20. The processor 91 implements the functions of the components of the monitoring device 20 by executing each of these programs. Here, when the processor 91 executes each of the above programs, it may either read these programs into memory 92 before executing them, or it may execute them without reading them into memory 92. In addition, memory 92 and storage device 93 also play a role in storing information and data held by the components of the monitoring device 20.

[0062] Furthermore, the aforementioned programs can be stored using various types of non-transitory computer-readable media and supplied to a computer (including computer 90). Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (Compact Disc-ROMs), CD-Rs (CD-Recordables), CD-R / Ws (CD-ReWritables), and semiconductor memory (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, RAMs). Programs may also be supplied to a computer using various types of transient computer-readable media. Examples of transient computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transitory computer-readable media can be supplied to a computer via wired communication channels such as electric wires and optical fibers, or via wireless communication channels.

[0063] The input / output interface 94 is connected to a display device 941, an input device 942, a sound output device 943, and the like. The display device 941 is a device that displays a screen corresponding to the drawing data processed by the processor 91, such as an LCD (Liquid Crystal Display), a CRT (Cathode Ray Tube) display, or a monitor. The input device 942 is a device that receives operator input, such as a keyboard, mouse, and touch sensor. The display device 941 and the input device 942 may be integrated and implemented as a touch panel. The sound output device 943 is a device that outputs sound corresponding to the acoustic data processed by the processor 91, such as a speaker.

[0064] The communication interface 95 transmits and receives data to and from external devices. For example, the communication interface 95 communicates with external devices via a wired communication path or a wireless communication path.

[0065] Although the present disclosure has been described above with reference to embodiments, the present disclosure is not limited to the embodiments described above. Various modifications to the structure and details of the present disclosure can be understood by those skilled in the art within the scope of the present disclosure. For example, the embodiments described above may be used in combination, either partially or entirely.

[0066] Furthermore, some or all of the embodiments described above may also be described as follows, but are not limited to these. (Note 1) Optical fibers laid in a designated area, An acquisition unit that acquires video footage taken in the aforementioned predetermined area, A detection unit that detects an anomaly occurring in a predetermined area by performing sensing using the optical fiber as a sensor, A determination unit that determines whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, The system includes a notification unit that, if the determination result indicates that the cause of the detected anomaly cannot be estimated, determines the detected anomaly to be an unknown anomaly and notifies an alarm. A monitoring system. (Note 2) The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing accuracy is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring system described in Appendix 1. (Note 3) The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing item is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring system described in Appendix 1. (Note 4) The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing interval is changed and the sensing is performed again to re-detect the anomaly occurring in the predetermined area. The monitoring system described in Appendix 1. (Note 5) The detection unit, Sensing data is generated based on the optical signal received from the optical fiber, and the sensing is performed by comparing the generated sensing data with past sensing data. If the judgment result indicates that the cause of the detected anomaly can be estimated, the number of past sensing data to be compared is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring system described in Appendix 1. (Note 6) The determination unit, Based on the information contained in the video, it is determined whether or not the cause of the re-detected anomaly can be estimated. The aforementioned notification unit, If the judgment result indicates that the cause of the re-detected anomaly cannot be estimated, the re-detected anomaly is determined to be an unknown anomaly, and an alarm is issued. A monitoring system as described in any one of the items 2 to 5 of the appendix. (Note 7) An acquisition unit that acquires video footage taken in a designated area where optical fibers are laid, A detection unit that detects an anomaly occurring in a predetermined area by performing sensing using the optical fiber as a sensor, A determination unit that determines whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, The system includes a notification unit that, if the determination result indicates that the cause of the detected anomaly cannot be estimated, determines the detected anomaly to be an unknown anomaly and notifies an alarm. monitoring equipment. (Note 8) The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing accuracy is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring device described in Appendix 7. (Note 9) The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing item is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring device described in Appendix 7. (Note 10) The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing interval is changed and the sensing is performed again to re-detect the anomaly occurring in the predetermined area. The monitoring device described in Appendix 7. (Note 11) The detection unit, Sensing data is generated based on the optical signal received from the optical fiber, and the sensing is performed by comparing the generated sensing data with past sensing data. If the judgment result indicates that the cause of the detected anomaly can be estimated, the number of past sensing data to be compared is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring device described in Appendix 7. (Note 12) The determination unit, Based on the information contained in the video, it is determined whether or not the cause of the re-detected anomaly can be estimated. The aforementioned notification unit, If the judgment result indicates that the cause of the re-detected anomaly cannot be estimated, the re-detected anomaly is determined to be an unknown anomaly, and an alarm is issued. A monitoring device as described in any one of the items 8 to 11 of the appendices. (Note 13) A monitoring method using a monitoring device, An acquisition step to acquire video footage taken in a designated area where optical fiber is laid, A first detection step involves performing sensing using the optical fiber as a sensor to detect an abnormality occurring in the predetermined area, A first determination step of determining whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, If the determination result indicates that the cause of the detected anomaly cannot be estimated, the first notification step includes determining the detected anomaly as an unknown anomaly and issuing an alarm, Monitoring method. (Note 14) If the determination result indicates that the cause of the detected anomaly can be estimated, the detection further includes a second detection step of re-detecting the anomaly that occurred in the predetermined area by changing the sensing accuracy and performing the sensing, The monitoring method described in Appendix 13. (Note 15) If the determination result indicates that the cause of the detected anomaly can be estimated, the detection further includes a second detection step of re-detecting the anomaly that occurred in the predetermined area by changing the sensing item and performing the sensing. The monitoring method described in Appendix 13. (Note 16) If the determination result indicates that the cause of the detected anomaly can be estimated, the detection further includes a second detection step of re-detecting an anomaly occurring in the predetermined area by changing the sensing interval and performing the sensing again. The monitoring method described in Appendix 13. (Note 17) The sensing is performed by generating sensing data based on the optical signal received from the optical fiber, and comparing the generated sensing data with past sensing data. The aforementioned monitoring method is, If the determination result indicates that the cause of the detected anomaly can be estimated, the detection further includes a second detection step of re-detecting the anomaly that occurred in the predetermined area by changing the number of past sensing data to be compared and performing the sensing, The monitoring method described in Appendix 13. (Note 18) A second determination step of determining whether or not the cause of the re-detected anomaly can be estimated based on the information contained in the video, If the determination result indicates that the cause of the re-detected anomaly cannot be estimated, a second notification step is to determine the re-detected anomaly as an unknown anomaly and issue an alarm, further comprising: The monitoring method described in any one of the items 14 to 17 of the appendix. [Explanation of symbols]

[0067] 10 Optical Fibers 20 Monitoring equipment 21 Detection unit 22 Acquisition Department 23 Judgment section 24 Notification Department 30 Cameras 40 road 41 Water pipes 90 Computer 91 processors 92 memory 93 Storage 94 Input / Output Interfaces 941 Display device 942 Input device 943 Sound output device 95 Communication Interface

Claims

1. Optical fibers laid in a designated area, An acquisition unit that acquires video footage taken in the aforementioned predetermined area, A detection unit that detects an anomaly occurring in a predetermined area by performing sensing using the optical fiber as a sensor, A determination unit that determines whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, The system includes a notification unit that, if the determination result obtained by the determination unit indicates that the cause of the detected anomaly cannot be estimated, determines the detected anomaly to be an unknown anomaly and notifies an alarm. Monitoring system.

2. The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing accuracy is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring system according to claim 1.

3. The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing item is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring system according to claim 1.

4. An acquisition unit that acquires video footage taken in a designated area where optical fibers are laid, A detection unit that detects an anomaly occurring in a predetermined area by performing sensing using the optical fiber as a sensor, A determination unit that determines whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, The system includes a notification unit that, if the determination result obtained by the determination unit indicates that the cause of the detected anomaly cannot be estimated, determines the detected anomaly to be an unknown anomaly and notifies an alarm. monitoring equipment.

5. The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing accuracy is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring device according to claim 4.

6. The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing item is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring device according to claim 4.

7. The detection unit, If the judgment result indicates that the cause of the detected anomaly can be estimated, the sensing interval is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring device according to claim 4.

8. The detection unit, Sensing data is generated based on the optical signal received from the optical fiber, and the sensing is performed by comparing the generated sensing data with past sensing data. If the judgment result indicates that the cause of the detected anomaly can be estimated, the number of past sensing data to be compared is changed and the sensing is performed again to re-detect the anomaly that occurred in the predetermined area. The monitoring device according to claim 4.

9. The determination unit, Based on the information contained in the video, it is determined whether or not the cause of the re-detected anomaly can be estimated. The aforementioned notification unit, If the judgment result indicates that the cause of the re-detected anomaly cannot be estimated, the re-detected anomaly is determined to be an unknown anomaly, and an alarm is issued. A monitoring device according to any one of claims 5 to 8.

10. A monitoring method using a monitoring device, An acquisition step to acquire video footage taken in a designated area where optical fiber is laid, A first detection step involves performing sensing using the optical fiber as a sensor to detect an anomaly occurring in the predetermined area, A first determination step of determining whether or not the cause of the detected anomaly can be estimated based on the information contained in the video, The system includes a first notification step in which, if the determination result obtained from the first determination step indicates that the cause of the detected anomaly cannot be estimated, the detected anomaly is determined to be an unknown anomaly and an alarm is issued. Monitoring method.

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