WO2023053179A1 - 光ファイバセンシングシステム、光ファイバセンシング機器、及び道路監視方法 - Google Patents

光ファイバセンシングシステム、光ファイバセンシング機器、及び道路監視方法 Download PDF

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Publication number
WO2023053179A1
WO2023053179A1 PCT/JP2021/035577 JP2021035577W WO2023053179A1 WO 2023053179 A1 WO2023053179 A1 WO 2023053179A1 JP 2021035577 W JP2021035577 W JP 2021035577W WO 2023053179 A1 WO2023053179 A1 WO 2023053179A1
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WIPO (PCT)
Prior art keywords
road
vehicle
vibration
surface condition
optical fiber
Prior art date
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Ceased
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PCT/JP2021/035577
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English (en)
French (fr)
Japanese (ja)
Inventor
尚武 高橋
均 櫻井
侑真 松田
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NEC Corp
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NEC Corp
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Priority to PCT/JP2021/035577 priority Critical patent/WO2023053179A1/ja
Priority to US18/690,773 priority patent/US20240393163A1/en
Priority to JP2023550768A priority patent/JPWO2023053179A1/ja
Publication of WO2023053179A1 publication Critical patent/WO2023053179A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
    • G01H9/004—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means using fibre optic sensors
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D5/00—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable
    • G01D5/26—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light
    • G01D5/32—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light
    • G01D5/34—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells
    • G01D5/353—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells influencing the transmission properties of an optical fibre
    • G01D5/35338—Mechanical means for transferring the output of a sensing member; Means for converting the output of a sensing member to another variable where the form or nature of the sensing member does not constrain the means for converting; Transducers not specially adapted for a specific variable characterised by optical transfer means, i.e. using infrared, visible, or ultraviolet light with attenuation or whole or partial obturation of beams of light the beams of light being detected by photocells influencing the transmission properties of an optical fibre using other arrangements than interferometer arrangements
    • G01D5/35354—Sensor working in reflection
    • G01D5/35358—Sensor working in reflection using backscattering to detect the measured quantity
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K11/00—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00
    • G01K11/32—Measuring temperature based upon physical or chemical changes not covered by groups G01K3/00, G01K5/00, G01K7/00 or G01K9/00 using changes in transmittance, scattering or luminescence in optical fibres
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects

Definitions

  • the present disclosure relates to an optical fiber sensing system, an optical fiber sensing device, and a road monitoring method.
  • Patent Document 1 an impact sensor is fixed to a road guardrail or the like, and an accident detection signal indicating that a traffic accident has occurred is generated when the level of an electric signal output from the impact sensor is equal to or higher than a threshold. is disclosed.
  • a dangerous group of vehicles is, for example, a group of vehicles traveling at high speed with a short inter-vehicle distance. If it is possible to know such a dangerous group of vehicles in advance, it is possible to take measures such as dispatching an emergency vehicle, which can contribute to the suppression of the occurrence of traffic accidents.
  • the technology disclosed in Patent Literature 1 can only detect whether or not a traffic accident has occurred on a road.
  • the object of the present disclosure is to solve the above-mentioned problems and provide an optical fiber sensing system, an optical fiber sensing device, and a road monitoring method that can know whether or not there is a group of dangerous vehicles on the road. That's what it is.
  • a fiber optic sensing system comprises: optical fibers laid along roads; a sensing unit that receives an optical signal from the optical fiber and detects vibration generated by a vehicle running on the road based on the optical signal; a vibration data calculation unit that calculates vibration data indicating the vibration; a driving state detection unit that detects the vehicle speed of each vehicle traveling on the road and detects the inter-vehicle distance between the vehicle and a preceding vehicle or a following vehicle based on the vibration data; a vehicle group detection unit configured to detect, as a dangerous vehicle group, a vehicle group in which the vehicle speed is equal to or higher than the speed threshold and the inter-vehicle distance is equal to or lower than the distance threshold; and a notification unit that, when the dangerous vehicle group is detected, notifies a predetermined notification destination that the dangerous vehicle group has been detected.
  • a fiber optic sensing device comprises: a sensing unit that receives an optical signal from an optical fiber laid along a road and detects vibration generated by a vehicle running on the road based on the optical signal; a vibration data calculation unit that calculates vibration data indicating the vibration; a driving state detection unit that detects the vehicle speed of each vehicle traveling on the road and detects the inter-vehicle distance between the vehicle and a preceding vehicle or a following vehicle based on the vibration data; a vehicle group detection unit configured to detect, as a dangerous vehicle group, a vehicle group in which the vehicle speed is equal to or higher than the speed threshold and the inter-vehicle distance is equal to or lower than the distance threshold; and a notification unit that, when the dangerous vehicle group is detected, notifies a predetermined notification destination that the dangerous vehicle group has been detected.
  • a road monitoring method comprises: A road monitoring method using an optical fiber sensing device, a sensing step of receiving an optical signal from an optical fiber laid along a road and detecting vibration generated by a vehicle running on the road based on the optical signal; a vibration data calculation step of calculating vibration data indicating the vibration; a driving state detection step of detecting the vehicle speed of each vehicle traveling on the road and detecting the inter-vehicle distance between the vehicle and a preceding vehicle or a following vehicle based on the vibration data; a vehicle group detection step of detecting, as a dangerous vehicle group, a vehicle group in which the vehicle speed is equal to or higher than the speed threshold and the inter-vehicle distance is equal to or lower than the distance threshold; and a notification step of, when the dangerous vehicle group is detected, notifying a predetermined notification destination that the dangerous vehicle group has been detected.
  • an optical fiber sensing system capable of knowing whether or not there is a dangerous group of vehicles on the road.
  • FIG. 1 is a diagram showing a configuration example of an optical fiber sensing system according to Embodiment 1;
  • FIG. 4A and 4B are diagrams for explaining an example of vibration data calculated by a vibration data calculation unit according to Embodiment 1;
  • FIG. FIG. 4 is a flow diagram illustrating a schematic operation example when detecting a dangerous group of vehicles in the optical fiber sensing system according to Embodiment 1;
  • FIG. 10 is a diagram showing a configuration example of an optical fiber sensing system according to Embodiment 2;
  • FIG. 10 is a flow diagram illustrating a schematic operation example when changing a velocity threshold value and a distance threshold value in the optical fiber sensing system according to the second embodiment;
  • FIG. 10 is a diagram showing a configuration example of an optical fiber sensing device according to another embodiment;
  • FIG. 11 is a block diagram showing a hardware configuration example of a computer that implements an optical fiber sensing device according to another embodiment;
  • the optical fiber sensing system 1 includes an optical fiber 10, a sensing unit 21, a vibration data calculation unit 22, a running state detection unit 23, a vehicle group detection unit 24, and a notification A portion 25 is provided.
  • the optical fiber 10 is laid along the road R.
  • the optical fiber 10 is buried in the road R, but the laying method of the optical fiber 10 is not limited to this.
  • the optical fiber 10 may be wired overhead along the road R to a structure such as a utility pole.
  • the sensing unit 21 is connected to the optical fiber 10 laid along the road R. As shown in FIG. Therefore, the sensing unit 21 is installed near the road R.
  • the vibration data calculation unit 22, the driving state detection unit 23, the vehicle group detection unit 24, and the notification unit 25, which will be described later, can be installed at any location, and may be arranged on the cloud, for example.
  • the sensing unit 21 makes pulsed light enter the optical fiber 10 .
  • the sensing unit 21 also receives backscattered light generated as the pulsed light is transmitted through the optical fiber 10 as an optical signal via the optical fiber 10 .
  • the sensing unit 21 can detect vibration caused by the vehicle running on the road R based on the optical signal received from the optical fiber 10 .
  • the vibration data calculation unit 22 calculates vibration data indicating the vibration detected by the sensing unit 21 based on the optical signal received from the optical fiber 10 by the sensing unit 21 .
  • the vibration data calculator 22 calculates vibration data as follows.
  • the vibration data calculation unit 22 calculates the position and time at which the vibration detected by the sensing unit 21 occurred.
  • the calculation of the position where the vibration occurs is performed, for example, as follows.
  • the position (sensing The distance of the optical fiber 10 from the portion 21) can be calculated.
  • the vibration data calculation unit 22 calculates the position at which the optical signal is generated by the method described above, and uses the calculated position as the vibration generated. position.
  • the vibration data calculation unit 22 based on the calculated position and time of occurrence of the vibration, plots the position of the vibration on the horizontal axis and the time of occurrence of the vibration on the vertical axis. Calculated as data.
  • the horizontal axis indicates the position at which the vibration occurred (the distance of the optical fiber 10 from the sensing section 21), and the vertical axis indicates the passage of time at which the vibration occurred.
  • the vertical axis goes in the positive direction, the data becomes older.
  • one diagonal line indicates that one vehicle is traveling on the road R over time.
  • the absolute value of the slope of the line represents the speed of the vehicle, and the smaller the absolute value of the slope of the line, the faster the vehicle speed.
  • the positive or negative of the slope of the line indicates the running direction of the vehicle. For example, if there is a vehicle corresponding to a positive slope line and a vehicle corresponding to a negative slope line, these vehicles are traveling in opposite directions (e.g., opposite directions). driving in the lane).
  • a change in the slope of the line indicates that the vehicle is accelerating or decelerating.
  • the interval G in the horizontal axis direction of the line represents the inter-vehicle distance, and the shorter the interval G, the shorter the inter-vehicle distance.
  • the running state detection unit 23 detects the vehicle speed of each vehicle traveling on the road R based on the vibration data (for example, the vibration data shown in FIG. 2) calculated by the vibration data calculation unit 22. At the same time, the inter-vehicle distance between the vehicle and the preceding or following vehicle is detected. It should be noted that it is possible to arbitrarily decide whether the inter-vehicle distance should be the inter-vehicle distance to the preceding vehicle or the following vehicle. Since six lines are shown in the example of FIG. 2, six vehicles are traveling on the road R, corresponding to the six lines. Therefore, the running state detection unit 23 detects the vehicle speed and inter-vehicle distance for each of the six vehicles.
  • the vehicle group detection unit 24 holds a speed threshold, which is a vehicle speed threshold, and a distance threshold, which is a vehicle-to-vehicle distance threshold, as thresholds used to determine a dangerous vehicle group.
  • the speed threshold may be the speed limit set for the road R, for example. Also, it is conceivable to set the distance threshold to an arbitrary value such as 5 m.
  • the vehicle group detection unit 24 Based on the vehicle speed and inter-vehicle distance of each vehicle traveling on the road R detected by the traveling state detection unit 23, the vehicle group detection unit 24 detects whether the vehicle speed is equal to or greater than the speed threshold and the inter-vehicle distance is equal to or less than the distance threshold. A group of vehicles is detected as a dangerous group of vehicles.
  • the notification unit 25 When the vehicle group detection unit 24 detects a dangerous vehicle group in which the vehicle speed is equal to or higher than the speed threshold and the inter-vehicle distance is equal to or smaller than the distance threshold, the notification unit 25 notifies that the dangerous vehicle group has been detected. Notify to the notification destination.
  • the predetermined notification destination may be set arbitrarily. For example, if the road R is an expressway, it is conceivable to set the road control center as the predetermined notification destination. Also, any notification method may be used. For example, a GUI (Graphical User Interface) screen may be displayed on the display, monitor, or the like of the terminal of the notification destination, or the message may be output by voice from the speaker of the terminal of the notification destination.
  • GUI Graphic User Interface
  • the sensing unit 21 receives an optical signal from the optical fiber 10, and detects vibrations caused by the vehicle running on the road R based on the received optical signal (step S11). ).
  • the vibration data calculation unit 22 calculates vibration data indicating the vibration detected by the sensing unit 21 based on the optical signal received from the optical fiber 10 by the sensing unit 21 (step S12). For example, the vibration data calculator 22 calculates vibration data as shown in FIG.
  • the running state detection unit 23 detects the vehicle speed and inter-vehicle distance for each vehicle traveling on the road R based on the vibration data calculated by the vibration data calculation unit 22 (step S13).
  • the vehicle group detection unit 24 determines that the vehicle speed is equal to or greater than the speed threshold and the inter-vehicle distance is the distance threshold.
  • the following vehicle groups are detected as dangerous vehicle groups (step S14).
  • step S14 when the vehicle group detection unit 24 detects a dangerous vehicle group (Yes in step S14), the notification unit 25 notifies a predetermined notification destination that a dangerous vehicle group has been detected (step S15). On the other hand, if no dangerous vehicle group is detected (No in step S14), the process ends.
  • the sensing unit 21 detects vibrations caused by the vehicle running on the road R based on the optical signal received from the optical fiber 10 .
  • the vibration data calculator 22 calculates vibration data indicating the vibration.
  • the running state detection unit 23 detects the vehicle speed and inter-vehicle distance for each vehicle traveling on the road R based on the vibration data.
  • the vehicle group detection unit 24 detects a vehicle group having a vehicle speed equal to or higher than the speed threshold and an inter-vehicle distance equal to or lower than the distance threshold as a dangerous vehicle group. When a dangerous vehicle group is detected, the notification unit 25 notifies a predetermined notification destination that a dangerous vehicle group has been detected.
  • the notification destination can know whether there is a dangerous group of vehicles on the road R that may lead to a traffic accident. Therefore, if there is a dangerous vehicle group on the road R, the notification destination can take measures such as dispatching an emergency vehicle, which can contribute to suppressing the occurrence of traffic accidents.
  • the optical fiber sensing system 2 according to Embodiment 2 differs from Embodiment 1 described above in that a road surface condition estimation unit 26 and a camera 30 are added. Although only one camera 30 is provided in FIG. 4, a plurality of cameras 30 may be provided.
  • the camera 30 is a camera that takes pictures of the road R.
  • the camera 30 is implemented by, for example, a fixed camera, a PTZ (Pan Tilt Zoom) camera, or the like.
  • the road surface condition estimation unit 26 estimates the road surface condition of the road R.
  • the road surface condition of the road R is, for example, dry, wet, semi-wet, covered with snow, frozen, or the like.
  • the road surface condition estimation unit 26 estimates the road surface condition of the road R as follows.
  • the sensing section 21 can also detect the temperature of the road R based on the optical signal received from the optical fiber 10 . Also, in recent years, many weather information providing services have been provided, and by using these services, it is possible to easily obtain weather information indicating the weather around the road R.
  • the road surface condition estimating unit 26 acquires weather information near the road R and also acquires temperature information of the road R detected by the sensing unit 21, and based on the temperature of the road R and the weather near the road R , the road surface condition of the road R is estimated.
  • the road surface condition estimating unit 26 inputs the temperature of the road R and the weather around the road R, builds in advance a learning model that outputs the road surface condition of the road R, and uses the built learning model to calculate the road R road surface conditions may be estimated.
  • a learning method in the learning model described above supervised learning using data of pairs of temperature and weather and teacher data indicating road surface conditions at that time can be cited, but is not particularly limited.
  • the road surface condition estimating unit 26 may further use the photographed image of the road R taken by the camera 30 to estimate the road surface condition of the road R. That is, the road surface condition estimating unit 26 further acquires the photographed image of the road R photographed by the camera 30, and based on the temperature of the road R, the weather in the vicinity of the road R, and the photographed image of the road R, the road surface of the road R You can estimate the situation.
  • the vehicle group detection unit 24 changes the speed threshold value and the distance threshold value based on the road surface condition of the road R estimated by the road surface condition estimation unit 26 .
  • the road R is more slippery in a icy state than in a dry state. Therefore, in order to avoid traffic accidents, it is necessary to increase the inter-vehicle distance and reduce the vehicle speed. Therefore, in Embodiment 2, the speed threshold and the distance threshold for detecting a dangerous vehicle group are changed according to the road surface condition of the road R.
  • the road surface condition estimator 26 estimates the road surface condition of the road R (step S21).
  • the vehicle group detection unit 24 determines whether the road surface condition of the road R has changed based on the road surface condition of the road R estimated by the road surface condition estimation unit 26 (step S22). For example, the vehicle group detection unit 24 detects the road surface condition (for example, dry) when the road surface condition changes to another road surface condition (for example, wet, semi-wet, covered with snow, frozen, etc.). Assume that the situation has changed.
  • the road surface condition for example, dry
  • another road surface condition for example, wet, semi-wet, covered with snow, frozen, etc.
  • step S22 if there is a change in the road surface condition of the road R (Yes in step S22), the vehicle group detection unit 24 changes the speed threshold and the distance threshold according to the changed road surface condition (step S23). On the other hand, if there is no change in the road surface condition of the road R (No in step S22), the process ends.
  • Embodiment 2 differs from Embodiment 1 described above only in that the speed threshold value and the distance threshold value are changed according to the road surface condition of the road R.
  • FIG. Therefore, in the second embodiment, the operation for detecting a group of dangerous vehicles is the same as the operation shown in FIG. It is the same. Therefore, in the second embodiment, the description of the operation when detecting a dangerous vehicle group is omitted.
  • the road surface condition estimation unit 26 estimates the road surface condition of the road R.
  • the vehicle group detection unit 24 changes the speed threshold value and the distance threshold value based on the road surface condition of the road R.
  • the sensing unit 21, the vibration data calculation unit 22, the running state detection unit 23, the vehicle group detection unit 24, and the notification unit 25 are provided separately, but these components may be collectively provided inside one device (optical fiber sensing device).
  • an optical fiber sensing device 20 includes a sensing unit 21, a vibration data calculation unit 22, a running state detection unit 23, a vehicle group detection unit 24, and a notification unit 25. ing. Note that the optical fiber sensing device 20 may further include the road surface condition estimation unit 26 according to the second embodiment described above.
  • FIG. 7 shows an example hardware configuration of a computer 40 that implements the optical fiber sensing device 20 according to another embodiment described above.
  • the computer 40 includes a processor 41, a memory 42, a storage 43, an input/output interface (input/output I/F) 44, a communication interface (communication I/F) 45, and the like.
  • the processor 41, the memory 42, the storage 43, the input/output interface 44, and the communication interface 45 are connected by a data transmission path for mutually transmitting and receiving data.
  • the processor 41 is an arithmetic processing device such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit).
  • the memory 42 is, for example, RAM (Random Access Memory) or ROM (Read Only Memory).
  • the storage 43 is, for example, a storage device such as a HDD (Hard Disk Drive), an SSD (Solid State Drive), or a memory card. Also, the storage 43 may be a memory such as a RAM or a ROM.
  • a program is stored in the storage 43.
  • the program includes instructions (or software code) that, when read into a computer, cause the computer 40 to perform one or more of the functions in the fiber optic sensing device 20 described above.
  • the sensing unit 21, the vibration data calculation unit 22, the running state detection unit 23, the vehicle group detection unit 24, the notification unit 25, and the road surface condition estimation unit 26 in the optical fiber sensing device 20 described above are stored in the storage 43 by the processor 41. It may be realized by reading and executing the program. Also, the memory function in the optical fiber sensing device 20 described above may be realized by the memory 42 or the storage 43 .
  • the above program may be stored in a non-transitory computer-readable medium or a tangible storage medium.
  • computer readable media or tangible storage media may include RAM, ROM, flash memory, SSD or other memory technology, CD (Compact Disc)-ROM, DVD (Digital Versatile Disc), Blu-ray ( (registered trademark) discs or other optical disc storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices.
  • the program may also be transmitted on a transitory computer-readable medium or communication medium.
  • transitory computer readable media or communication media include electrical, optical, acoustic, or other forms of propagated signals.
  • the input/output interface 44 is connected to a display device 441, an input device 442, a sound output device 443, and the like.
  • the display device 441 is a device that displays a screen corresponding to drawing data processed by the processor 41, such as an LCD (Liquid Crystal Display), a CRT (Cathode Ray Tube) display, or a monitor.
  • the input device 442 is a device that receives an operator's operation input, and is, for example, a keyboard, a mouse, a touch sensor, or the like.
  • the display device 441 and the input device 442 may be integrated and implemented as a touch panel.
  • the sound output device 443 is a device, such as a speaker, that outputs sound corresponding to the sound data processed by the processor 41 .
  • the communication interface 45 transmits and receives data to and from an external device.
  • the communication interface 45 communicates with external devices via a wired communication path or a wireless communication path.
  • the vibration data calculation unit calculating the position and time at which the vibration occurred based on the optical signal; calculating a graph as the vibration data, in which the horizontal axis is the position where the vibration occurred and the vertical axis is the time when the vibration occurred;
  • the optical fiber sensing system according to Appendix 1. (Appendix 3) Further comprising a road surface condition estimation unit for estimating the road surface condition of the road,
  • the vehicle group detection unit includes: changing the speed threshold and the distance threshold based on the road surface conditions of the road; 3.
  • the sensing unit is further detecting the temperature of the road based on the light signal;
  • the road surface condition estimation unit Acquiring weather information near the road, estimating the road surface condition of the road based on the temperature of the road and the weather near the road;
  • the optical fiber sensing system according to Appendix 3. (Appendix 5) Further comprising a camera for photographing the road, The road surface condition estimation unit estimating the road surface condition of the road based on the temperature of the road, the weather near the road, and the photographed image of the road;
  • (Appendix 6) a sensing unit that receives an optical signal from an optical fiber laid along a road and detects vibration generated by a vehicle running on the road based on the optical signal; a vibration data calculation unit that calculates vibration data indicating the vibration; a driving state detection unit that detects the vehicle speed of each vehicle traveling on the road and detects the inter-vehicle distance between the vehicle and a preceding vehicle or a following vehicle based on the vibration data; a vehicle group detection unit configured to detect, as a dangerous vehicle group, a vehicle group in which the vehicle speed is equal to or higher than the speed threshold and the inter-vehicle distance is equal to or lower than the distance threshold; a notification unit that, when the dangerous vehicle group is detected, notifies a predetermined notification destination that the dangerous vehicle group has been detected; Fiber optic sensing equipment.
  • the vibration data calculation unit calculating the position and time at which the vibration occurred based on the optical signal; calculating a graph as the vibration data, in which the horizontal axis is the position where the vibration occurred and the vertical axis is the time when the vibration occurred;
  • the fiber optic sensing device according to Appendix 6. Further comprising a road surface condition estimation unit for estimating the road surface condition of the road,
  • the vehicle group detection unit includes: changing the speed threshold and the distance threshold based on the road surface conditions of the road;
  • the sensing unit is further detecting the temperature of the road based on the light signal;
  • the road surface condition estimation unit Acquiring weather information near the road, estimating the road surface condition of the road based on the temperature of the road and the weather near the road;
  • the fiber optic sensing device of claim 8. (Appendix 10)
  • the road surface condition estimation unit Acquiring a photographed image of the road photographed by a camera, estimating the road surface condition of the road based on the temperature of the road, the weather near the road, and the photographed image of the road; 9.
  • a road monitoring method using an optical fiber sensing device a sensing step of receiving an optical signal from an optical fiber laid along a road and detecting vibration generated by a vehicle running on the road based on the optical signal; a vibration data calculation step of calculating vibration data indicating the vibration; a driving state detection step of detecting the vehicle speed of each vehicle traveling on the road and detecting the inter-vehicle distance between the vehicle and a preceding vehicle or a following vehicle based on the vibration data; a vehicle group detection step of detecting, as a dangerous vehicle group, a vehicle group in which the vehicle speed is equal to or higher than the speed threshold and the inter-vehicle distance is equal to or lower than the distance threshold; a notification step of notifying a predetermined notification destination that the dangerous vehicle group has been detected when the dangerous vehicle group is detected; Road monitoring method.

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PCT/JP2021/035577 2021-09-28 2021-09-28 光ファイバセンシングシステム、光ファイバセンシング機器、及び道路監視方法 Ceased WO2023053179A1 (ja)

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US18/690,773 US20240393163A1 (en) 2021-09-28 2021-09-28 Optical fiber sensing system, optical fiber sensing device, and road monitoring method
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