Abstract: A road monitoring system according to the present disclosure comprises: a cable (20) that includes a communication optical fiber laid on a road (10); a reception unit (331) that receives an optical signal from at least one communication optical fiber included in the cable (20); and a detection unit (332) that detects, on the basis of the optical signal, a pattern corresponding to a traveling state of a vehicle on the road (10), and detects, on the basis of the detected pattern, the traveling state of the vehicle on the road (10).
Titles of the Invention: Road Monitoring Systems, Road Monitoring Devices, Road Monitoring Methods, and Non-Temporary Computer-Read Medium
Technical field
[0001]
The present disclosure relates to road monitoring systems, road monitoring devices, road monitoring methods, and non-transitory computer-readable media.
Background technology
[0002]
Recently, a system for monitoring the running state of a vehicle (automobile) on a road using an optical fiber has been proposed (for example, Patent Document 1).
[0003]
In the technique described in Patent Document 1, an optical fiber is laid under a road, two pulses (one pulse is delayed more than the other pulse) are incident on the optical fiber, and the two pulses are in a specific section. The backscattered pulses are detected at the start and end points of. At this time, if there is a moving vehicle in the specific section, a frequency deviation occurs due to the pressure change in the specific section. This is used to detect the running state of the vehicle on the road.
Prior art literature
Patent documents
[0004]
Patent Document 1: Japanese Patent Application Laid-Open No. 2009-514801
Outline of the invention
Problems to be solved by the invention
[0005]
However, in the technique described in Patent Document 1, if the above deviation does not occur in a specific section, it can be detected that there is no moving vehicle, but there is no vehicle or there is a stationary vehicle. There is a problem that it is difficult to detect whether it exists or not.
[0006]
Therefore, an object of the present disclosure is to provide a road monitoring system, a road monitoring device, a road monitoring method, and a non-temporary computer-readable medium capable of solving the above-mentioned problems and detecting the traveling state of a vehicle on a road with high accuracy. To provide.
Means to solve problems
[0007]
The road monitoring system according to one aspect is based
on a cable including a communication optical fiber laid on a road,
a receiving unit that receives an optical signal from at least one communication optical fiber included in the cable, and the
optical signal. Te, wherein detecting a pattern corresponding to the running state of the vehicle on the road, based on the pattern corresponding to the running state of the vehicle in said detected road, a detector for detecting a running condition of the vehicle in the road
the Be prepared.
[0008]
The road monitoring device according to one aspect
has a receiving unit that receives an optical signal from at least one communication optical fiber included in a cable laid on the road, and
a traveling state of a vehicle on the road based on the optical signal. It
is provided with a detection unit that detects a corresponding pattern and detects a traveling state of the vehicle on the road based on the detected pattern according to the traveling state of the vehicle on the road .
[0009]
The road monitoring method according to one aspect is a road monitoring method using a
road monitoring device
, in which an optical signal is received from at least one communication optical fiber included in a cable laid on the road,
and based on the optical signal, A pattern corresponding to the traveling state of the vehicle on the road is detected, and the traveling state of the vehicle on the road is detected based on the detected pattern according to the traveling state of the vehicle on the road.
[0010]
The non-temporary computer-readable medium according to one aspect
is the
road
, based on the procedure of receiving an optical signal from at least one communication optical fiber included in a cable laid on the road, and the optical signal.
A program for detecting a pattern according to the running state of the vehicle in the above-mentioned road and executing a procedure for detecting the running state of the vehicle on the road based on the detected pattern according to the running state of the vehicle on the road. It is a non-temporary computer-readable medium that stores.
The invention's effect
[0011]
According to the above aspect, the effect that the abnormal state of the road can be detected with high accuracy can be obtained.
A brief description of the drawing
[0012]
[Fig. 1] Fig. 1 is a diagram showing an example of a configuration of a road monitoring system according to an embodiment.
FIG. 2 is a diagram showing an example of a pattern according to a traveling state of a vehicle on a road, which is used in the method A in the road monitoring system according to the embodiment.
FIG. 3 is a diagram showing an example of a pattern according to a traveling state of a vehicle on a road, which is used in the method A in the road monitoring system according to the embodiment.
FIG. 4 is a diagram showing an example of a pattern according to a traveling state of a vehicle on a road, which is used in the method A in the road monitoring system according to the embodiment.
FIG. 5 is a diagram showing an example of a pattern according to a traveling state of a vehicle on a road, which is used in the method A in the road monitoring system according to the embodiment.
FIG. 6 is a diagram showing an example of a pattern according to a traveling state of a vehicle on a road, which is used in the method A in the road monitoring system according to the embodiment.
FIG. 7 is a diagram showing an example of machine learning by method C in the road monitoring system according to the embodiment.
FIG. 8 is a diagram showing an example of an application that can be realized based on an abnormal state detected by the detection unit according to the embodiment.
FIG. 9 is a block diagram showing an example of a hardware configuration of a computer that realizes the road monitoring device according to the embodiment.
FIG. 10 is a flow chart showing an example of an operation flow of the road monitoring system according to the embodiment.
FIG. 11 is a diagram showing an example of a road monitoring system according to another embodiment.
FIG. 12 is a diagram showing another example of a road monitoring system according to another embodiment.
FIG. 13 is a diagram showing an example of arrangement of a fiber sensing unit in a road monitoring system according to another embodiment.
FIG. 14 is a diagram showing another example of arrangement of a fiber sensing unit in a road monitoring system according to another embodiment.
FIG. 15 is a diagram showing still another example of the arrangement of the fiber sensing unit in the road monitoring system according to another embodiment.
FIG. 16 is a diagram showing still another example of arrangement of fiber sensing units in a road monitoring system according to another embodiment.
FIG. 17 is a diagram showing an example of operation of the fiber sensing unit when the optical fiber cable is broken in the road monitoring system of FIG. 13.
FIG. 18 is a diagram showing an example of the operation of the fiber sensing unit when the optical fiber cable is broken in the road monitoring system of FIG.
19 is a diagram showing an example of the operation of the fiber sensing unit when the optical fiber cable is broken in the road monitoring system of FIG. 16. FIG.
Forms for carrying out the invention
[0013]
Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.
First, the configuration of the road monitoring system according to the present embodiment will be described with reference to FIG.
[0014]
As shown in FIG. 1, the road monitoring system according to the present embodiment detects a traveling state of a vehicle on the road 10, and includes an optical fiber cable 20 and a road monitoring device 33.
[0015]
The optical fiber cable 20 is laid along the road 10. In FIG. 1, the optical fiber cable 20 is laid under the road 10, but the present invention is not limited to this, and the optical fiber cable 20 may be laid on the side of the road 10. Further, at this time, the optical fiber cable 20 may be densely installed, for example, by laying the optical fiber cable 20 while forming a loop, at a position on the road 10 where the traveling state is particularly desired to be detected. As a result, the accuracy of detecting the traveling state of the vehicle on the road 10 can be improved.
The optical fiber cable 20 is a cable configured by covering one or more communication optical fibers, and one end thereof is routed inside the communication carrier station building 30.
[0016]
The road monitoring system according to the present embodiment uses an optical fiber sensing technique that uses an optical fiber as a sensor to detect a traveling state of a vehicle on the road 10.
Specifically, inside the communication carrier station building 30, pulsed light is incident on the communication optical fiber included in the optical fiber cable 20. Then, as the pulsed light is transmitted through the communication optical fiber in the direction of the road 10, backscattered light is generated for each transmission distance. This backscattered light returns to the inside of the communication carrier station building 30 via the same communication optical fiber.
[0017]
Here, the road 10 vibrates due to the traveling of the vehicle, and the vibration of the road 10 is transmitted to the communication optical fiber. Further, on the road 10, when an accident or the like occurs, a collision sound is generated, and the change in the sound is also transmitted to the communication optical fiber. Therefore, in the optical fiber for communication, the pattern in which the vibration and sound of the road 10 are transmitted is the traveling state of the vehicle on the road 10 (for example, the traveling direction, the traveling speed, the acceleration / deceleration, the number of traveling units, the traveling interval, the overloaded vehicle, and the like. It depends on the accident etc.).
[0018]
Therefore, the backscattered light returning to the inside of the communication carrier station building 30 includes a pattern according to the traveling state of the vehicle on the road 10.
[0019]
The road monitoring system according to the present embodiment utilizes the fact that the backscattered light returning to the inside of the communication carrier station building 30 includes a pattern according to the traveling state of the vehicle on the road 10. It detects the traveling state of the vehicle (for example, traveling direction, traveling speed, acceleration / deceleration, number of traveling units, traveling interval, overloaded vehicle, accident, etc.).
[0020]
Here, the road monitoring device 33 described above is provided inside the communication carrier station building 30. The road monitoring device 33 is a device newly installed for the realization of the present embodiment.
[0021]
The road monitoring device 33 is a device having a function as an optical fiber sensing device and also having a function of detecting a traveling state of a vehicle on the road 10. Specifically, the road monitoring device 33 includes a fiber sensing unit 331 and a detection unit 332. The fiber sensing unit 331 is an example of a receiving unit.
[0022]
The fiber sensing unit 331 incidents pulsed light on at least one communication optical fiber included in the optical fiber cable 20. This pulsed light is transmitted in the direction of the road 10. Further, the fiber sensing unit 331 receives backscattered light with respect to the pulsed light from the same communication optical fiber as the communication optical fiber in which the pulsed light is incident. This backscattered light is received from the direction of the road 10.
[0023]
At this time, as described above, the backscattered light received by the fiber sensing unit 331 includes a pattern corresponding to the traveling state of the vehicle on the road 10. Further, in the example of FIG. 1, the fiber sensing unit 331 receives backscattered light generated at various positions on the road 10 in time series.
[0024]
Therefore, when the fiber sensing unit 331 receives the backscattered light, it first identifies the position of the road 10 where the backscattered light is generated. Further, the fiber sensing unit 331 detects the vibration state, the temperature state, the sound state, and the like at the specified position.
Then, the detection unit 332 detects a pattern according to the traveling state of the vehicle on the road 10 based on the processing result of the backscattered light by the fiber sensing unit 331, and based on the detected pattern, on the road 10. Detects the running state of the vehicle.
[0025]
Therefore, in the following, first, when the fiber sensing unit 331 receives the backscattered light, a method of specifying the position where the backscattered light is generated will be described.
[0026]
In the present embodiment, the fiber sensing unit 331 scatters backscattered based on the time difference between the time when the pulsed light is incident on the optical fiber for communication and the time when the backscattered light is received from the same optical fiber for communication. Identify the location where the light was generated. At this time, the fiber sensing unit 331 specifies the generation position so that the smaller the time difference is, the closer it is to the fiber sensing unit 331.
[0027]
Subsequently, a method of detecting the traveling state of the vehicle on the road 10 by the detection unit 332 will be described below.
(A) Method A
First, a method A for detecting a traveling state of a vehicle on a road 10 will be described with reference to FIGS. 2 to 6. 2 to 6 are diagrams showing an example of a pattern according to the traveling state of the vehicle on the road 10.
The fiber sensing unit 331 performs a process of identifying the position of the road 10 where the backscattered light received from the communication optical fiber is generated. Further, the fiber sensing unit 331 detects the backward scattered light by a distributed acoustic sensor, a distributed vibration sensor, a distributed temperature sensor, or the like. , Performs processing for detecting the state of vibration, the state of temperature, the state of sound, and the like at a specified position on the road 10.
Therefore, the detection unit 332 detects a pattern according to the traveling state of the vehicle on the road 10 based on the processing result of the backscattered light by the fiber sensing unit 331. Specifically, as shown in FIGS. 2 to 6, a pattern corresponding to the traveling state of the vehicle on the road 10 is detected.
[0028]
Hereinafter, the patterns according to the traveling state of the vehicle on the road 10 shown in FIGS. 2 to 6 will be described in detail. The patterns themselves are the same in FIGS. 2 to 6.
In FIGS. 2 to 6, the horizontal axis represents the distance from the fiber sensing unit 331, and the vertical axis represents the passage of time. When the vehicle is traveling and the vibration of the vehicle is detected by the fiber sensing unit 331, the fact that the vehicle is traveling is represented by a line on the graph. For example, the fact that a vehicle is traveling over time is represented by a single diagonal line on the graph. Hereinafter, this line is referred to as a "detection information line". Based on the line of detection information, it is possible to detect the traveling direction, traveling speed, acceleration / deceleration, number of traveling vehicles, traveling interval, and the like of the vehicle.
[0029]
For example, as shown in FIG. 2, the traveling direction of the vehicle can be detected based on the direction of the line of the detection information. In the example of FIG. 2, the traveling direction is different between the vehicle in the area A and the vehicle in the area B.
Further, as shown in FIG. 3, the number of traveling vehicles can be detected based on the number of lines of detection information in the area surrounded by a circle.
Further, as shown in FIG. 4, the traveling speed of the vehicle can be detected based on the inclination of the line of the detection information in the area surrounded by the circle.
Further, as shown in FIG. 5, the traveling interval of the vehicle can be detected based on the interval between the lines of the plurality of detection information represented diagonally.
Further, as shown in FIG. 6, acceleration / deceleration of the vehicle can be detected based on the inclination of the line of the detection information in the area surrounded by the circle.
[0030]
Therefore, when detecting the traveling state of the vehicle on the road 10, the detection unit 332 first detects a pattern according to the traveling state of the vehicle on the road 10, as shown in FIGS. 2 to 6. Subsequently, the detection unit 332 detects the traveling state of the vehicle on the road 10 by the method described with reference to FIGS. 2 to 6. Further, the detection unit 332 may detect the traveling state of a plurality of vehicles on the road 10 by the method described with reference to FIGS. 2 to 6. Further, when the detection unit 332 detects the traveling state of a plurality of vehicles on the road 10, it further detects the traffic state of the road 10 (for example, congestion information, traffic closure information, etc.), or dangerous driving or violation on the road 10. The occurrence of (for example, sudden stop, tilting driving, reverse driving, overspeed, etc.) may be detected, or the cause of the accident occurring on the road 10 may be identified.
[0031]
(B) Method B
Next, a method B for detecting the traveling state of the vehicle on the road 10 will be described.
In the method B, the detection unit 332 detects the traveling state of the vehicle on the road 10 by using the corresponding table.
The detection unit 332 holds a corresponding table in which a pattern corresponding to the traveling state of the vehicle on the road 10 and the traveling state of the vehicle on the road 10 are associated with each other. The pattern according to the traveling state of the vehicle is, for example, the pattern shown in FIGS. 2 to 6 described in the above-described method A.
When detecting the traveling state of the vehicle on the road 10, the detection unit 332 first detects a pattern according to the traveling state of the vehicle on the road 10. Subsequently, the detection unit 332 uses the above-mentioned correspondence table to specify the traveling state of the vehicle on the road 10 corresponding to the pattern corresponding to the traveling state of the vehicle on the road 10 acquired above. Further, the corresponding table may correspond to the above-mentioned pattern with the traveling states of a plurality of vehicles on the road 10. Further, the correspondence table may correspond to the above-mentioned pattern with the traffic condition of the road 10, the occurrence of dangerous driving or violation on the road 10, and the cause of the accident on the road 10.
[0032]
(C) Method C
Next, a method C for detecting the traveling state of the vehicle on the road 10 will be described.
In the present method C, the detection unit 332 machine-learns (for example, deep learning) a pattern according to the traveling state of the vehicle on the road 10, and uses the learning result of the machine learning (initial learning model) on the road 10. Detects the running state of the vehicle.
[0033]
First, the machine learning method in the present method C will be described with reference to FIG. 7.
As shown in FIG. 7, the detection unit 332 inputs the teacher data indicating the traveling state of the vehicle on the road 10 and the pattern corresponding to the traveling state of the vehicle on the road 10 (steps S1 and S2). The pattern according to the traveling state of the vehicle is, for example, the pattern shown in FIGS. 2 to 6 described in the above-described method A.
[0034]
Subsequently, the detection unit 332 matches and classifies the two (step S3), and performs supervised learning (step S4). As a result, an initial learning model is obtained (step S5). This initial learning model is a model in which the traveling state of the vehicle is output when a pattern corresponding to the traveling state of the vehicle on the road 10 is input.
[0035]
Subsequently, a method of detecting the traveling state of the vehicle on the road 10 in the present method C will be described.
When detecting the traveling state of the vehicle on the road 10, the detection unit 332 first detects a pattern according to the traveling state of the vehicle on the road 10 in the same manner as the above-mentioned method A. Subsequently, the detection unit 332 inputs the pattern to the initial learning model. As a result, the detection unit 332 obtains the running state of the vehicle as the output result of the initial learning model. Further, this learning model may output the traveling states of a plurality of vehicles on the road 10 when the above pattern is input. Further, in this learning model, when the above pattern is input, the traffic state of the road 10, the state of occurrence of dangerous driving or violation on the road 10, and the cause of the accident occurring on the road 10 may be output.
[0036]
As described above, in the present method C, the pattern according to the traveling state of the vehicle on the road 10 is machine-learned, and the traveling state of the vehicle on the road 10 is detected by using the learning result of the machine learning.
It may be difficult for human analysis to extract features for detecting the traveling state of the vehicle on the road 10 from the data. In the present method C, by constructing a learning model from a large number of patterns, it is possible to detect the traveling state of the vehicle on the road 10 with high accuracy even if it is difficult for human analysis.
[0037]
In the machine learning in the method C, in the initial state, a learning model may be generated based on two or more teacher data. Further, the newly detected pattern may be newly learned in this learning model. At that time, detailed conditions for detecting the traveling state of the vehicle on the road 10 may be adjusted from the new learning model.
[0038]
Subsequently, with reference to FIG. 8, an application that can be realized based on the traveling state of the vehicle on the road 10 detected by the detection unit 332 will be described below.
Based on the traveling state of the vehicle on the road 10 detected by the detection unit 332, for example, the following applications (a) to (b) can be realized. Each application will be described below.
[0039]
(A) Overload detection
task and effect: When
a vehicle traveling on the road 10 is loaded with cargo exceeding a specified load weight, the road surface is deteriorated by the vehicle traveling.
In addition, since overloading involves the risk of accidents due to the vehicle falling over, there is a demand to prevent overloaded vehicles from entering the expressway in order to protect a safe and secure road environment.
Operation outline: The
vibration generated on the road 10 when the overloaded vehicle travels is monitored via the optical fiber cable 20 laid under the road 10. Overloaded vehicles are detected by the characteristics of the vibration pattern.
[0040]
(B) Accident detection
issues and effects:
By monitoring the entire area of the road 10 via the optical fiber cable 20, it is possible to remotely detect the occurrence of an accident in real time.
Operation outline: The
sound generated on the road 10 is monitored, and if the monitored sound is a collision sound, it is detected as an accident.
[0041]
Subsequently, with reference to FIG. 9, the hardware configuration of the computer 40 that realizes the road monitoring device 33 will be described below.
As shown in FIG. 9, the computer 40 includes a processor 401, a memory 402, a storage 403, an input / output interface (input / output I / F) 404, a communication interface (communication I / F) 405, and the like. The processor 401, the memory 402, the storage 403, the input / output interface 404, and the communication interface 405 are connected by a data transmission line for transmitting and receiving data to and from each other.
[0042]
The processor 401 is, for example, an arithmetic processing unit such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). The memory 402 is, for example, a memory such as a RAM (Random Access Memory) or a ROM (Read Only Memory). The storage 403 is a storage device such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), or a memory card. Further, the storage 403 may be a memory such as a RAM or a ROM.
[0043]
The storage 403 stores a program that realizes the functions of the fiber sensing unit 331 and the detection unit 332 included in the road monitoring device 33. The processor 401 realizes the functions of the fiber sensing unit 331 and the detection unit 332 by executing each of these programs. Here, when executing each of the above programs, the processor 401 may read these programs onto the memory 402 and then execute the programs, or may execute the programs without reading them onto the memory 402. The memory 402 and the storage 403 also play a role of storing information and data held by the fiber sensing unit 331 and the detection unit 332.
[0044]
In addition, the above-mentioned programs are stored using various types of non-transitory computer readable medium and can be supplied to a computer (including a computer 40). Non-transient computer-readable media include various types of tangible storage media. Examples of non-temporary computer-readable media include magnetic recording media (eg, flexible discs, magnetic tapes, hard disk drives), photomagnetic recording media (eg, photomagnetic discs), CD-ROMs (Compact Disc-Read Only Memory). , CD-R (CD-Recordable), CD-R / W (CD-ReWritable), semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory) )including. The program may also be supplied to the computer by various types of transient computer readable medium. Examples of temporary computer-readable media include electrical, optical, and electromagnetic waves. The temporary computer-readable medium can supply the program to the computer via a wired communication path such as an electric wire and an optical fiber, or a wireless communication path.
[0045]
The input / output interface 404 is connected to a display device 4041, an input device 4042, and the like. The display device 4041 is a device that displays a screen corresponding to drawing data processed by the processor 401, such as an LCD (Liquid Crystal Display) or a CRT (Cathode Ray Tube) display. The input device 4042 is a device that receives an operator's operation input, and is, for example, a keyboard, a mouse, a touch sensor, and the like. The display device 4041 and the input device 4042 may be integrated and realized as a touch panel. The computer 40 may also include a distributed acoustic sensor, a distributed vibration sensor, a sensor (not shown) including a distributed temperature sensor, and the like, and the sensor may be connected to the input / output interface 404.
[0046]
The communication interface 405 transmits / receives data to / from an external device. For example, the communication interface 405 communicates with an external device via a wired communication path or a wireless communication path.
[0047]
The operation of the road monitoring system according to the present embodiment will be described below. Here, the operation flow of the road monitoring system according to the present embodiment will be described with reference to FIG.
[0048]
As shown in FIG. 10, first, the fiber sensing unit 331 injects pulsed light into at least one communication optical fiber included in the optical fiber cable 20 (step S11).
Subsequently, the fiber sensing unit 331 receives the backscattered light from the same communication optical fiber as the communication optical fiber incident with the pulsed light (step S12). Further, the fiber sensing unit 331 detects a process of identifying the position of the road 10 that generated the received backscattered light, a vibration state, a temperature state, a sound state, and the like at the specified position of the road 10. Perform processing, etc. At this time, the fiber sensing unit 331 may specify the position where the backscattered light is generated by using the method based on the time difference described above.
[0049]
After that, the detection unit 332 detects a pattern according to the traveling state of the vehicle on the road 10 based on the backscattered light received in step S12. More specifically, the pattern is detected based on the processing result of the backscattered light by the fiber sensing unit 331. Then, the detection unit 332 detects the traveling state of the vehicle on the road 10 based on the detected pattern (step S13). At this time, the detection unit 332 may detect the abnormal state by using any of the methods A to C described above.
[0050]
In FIG. 10, the process of step S13 may be performed each time the backscattered light is received in step S12. Alternatively, in step S12, after a plurality of backscattered lights are received, the process of step S13 may be performed for each backscattered light. Alternatively, in step S12, after a plurality of backscattered lights are received, the process of step S13 may be performed using all of the received plurality of backscattered lights.
[0051]
As described above, according to the present embodiment, backscattered light (optical signal) is received from at least one communication optical fiber included in the optical fiber cable 20, and the received backscattered light (optical signal) is received. Based on the light, a pattern corresponding to the traveling state of the vehicle on the road 10 is detected, and based on the detected pattern, the traveling state of the vehicle on the road 10 is detected. Therefore, the traveling state of the vehicle on the road 10 can be detected with high accuracy.
[0052]
Further, according to the present embodiment, in order to detect the traveling state of the vehicle on the road 10, an existing optical fiber for communication may be used. Therefore, since a dedicated structure for detecting the traveling state of the vehicle on the road 10 is not required, the road monitoring system can be constructed at low cost.
[0053]
Further, according to the present embodiment, an optical fiber sensing technique using an optical fiber as a sensor is used. Therefore, advantages such as being unaffected by electromagnetic noise, eliminating the need for power supply to the sensor, being excellent in environmental resistance, and facilitating maintenance can be obtained.
[0054]
[0055]
When the detection unit 332 machine-learns the pattern according to the traveling state of the vehicle on the road 10 by the above-mentioned method C, it is considered that the traveling state of the vehicle differs depending on the region. For example, the driving conditions may differ between the city and the suburbs. Therefore, the detection unit 332 may perform machine learning for each region by using the teacher data corresponding to the region.
[0056]
Further, in the above-described embodiment, it is assumed that the existing optical fiber cable 20 is used, but as shown in FIG. 11, the optical fiber cable 20 is newly installed, and the data collecting unit 34 is attached to the newly installed optical fiber cable 20. May be connected. The data collection unit 34 also collects data on the pattern (sound, temperature, vibration, etc.) of the road 10 and transmits the collected data to the detection unit 332. At this time, the data may be transmitted from the data collection unit 34 to the detection unit 332 via the optical fiber cable 20 or via a separately provided radio. The detection unit 332 detects the traveling state of the vehicle on the road 10 based on the data collected by the data collection unit 34 and the fiber sensing unit 331. Therefore, the detection accuracy can be improved.
[0057]
Further, as shown in FIG. 12, a traffic control system 50 that manages the traffic of vehicles on the road 10 may be provided based on the detection result by the road monitoring device 33. The traffic control system 50 is an example of a distribution unit. The traffic control system 50 may distribute the traffic condition of the road 10 and the occurrence of a violation to the driver of the vehicle via a highway radio, an information board on the road 10, the Internet, an application, or the like. Further, the traffic control system 50 may deliver to the system administrator the traffic condition of the road 10, the occurrence of dangerous driving or violation on the road 10, the cause of the accident occurring on the road 10, and the like. Further, although the traffic control system 50 is provided outside the communication carrier station building 30, some functions (for example, the function of the distribution unit, etc.) may be provided inside the communication carrier station building 30. Further, when the traffic control system 50 is provided outside the communication carrier station building 30, the roads 10 connected to each of the plurality of communication carrier station buildings 30 by the optical fiber cable 20 are centrally provided by one traffic control system 50. You may monitor it.
[0058]
Further, the fiber sensing unit 331 and the detection unit 332 of the road monitoring device 33 may be provided separately from each other. For example, only the fiber sensing unit 331 may be provided inside the communication carrier station building 30, and the road monitoring device 33 including the detection unit 332 may be provided outside the communication carrier station building 30.
[0059]
Further, in the above-described embodiment, only one fiber sensing unit 331 is provided and occupies the optical fiber cable 20, but the present invention is not limited to this. Here, the arrangement of the fiber sensing unit 331 in the road monitoring system according to another embodiment will be described with reference to FIGS. 13 to 16. Note that in FIGS. 13 to 16, the detection unit 332 is not shown.
[0060]
In the example of FIG. 13, the fiber sensing unit 331 shares the optical fiber cable 20 with the existing communication equipment 31. Further, in order to share the optical fiber cable 20 between the fiber sensing unit 331 and the existing communication equipment 31, a filter 32 for signal separation is provided.
[0061]
In the example of FIG. 14, one fiber sensing unit 331 is provided for each of the plurality of communication carrier station buildings 30 (in FIG. 14, the two communication carrier stations 30A and 30Z). Specifically, fiber sensing units 331A and 331Z are provided inside the communication carrier station buildings 30A and 30Z, respectively. In the example of FIG. 14, the road 10A is connected to the communication carrier station building 30A by the optical fiber cable 20, and the road 10B is connected to the communication carrier station building 30Z by the optical fiber cable 20, and the roads 10A and 10B are connected. Is connected by an optical fiber cable 20. The communication equipments 31A and 31Z correspond to the communication equipment 31, and the filters 32A and 32Z correspond to the filter 32.
In the example of FIG. 14, the fiber sensing units 331A and 331Z both monitor the roads 10A and 10B.
[0062]
In the example of FIG. 15, the data collection unit 34 is provided near the road 10A as compared with FIG. Here, only one data collection unit 34 is provided for the roads 10A and 10B, but the data collection unit 34 is one for a predetermined number of roads 10 or a predetermined road length of the road 10. One should be provided for each, and one or more may be provided.
[0063]
In the example of FIG. 15, each data collection unit 34 collects data of the corresponding road 10 pattern (sound, temperature, vibration, etc.), and the detection unit 332 aggregates the data collected by each data collection unit 34. .. At this time, data may be transmitted from each data collection unit 34 to the detection unit 332 via the optical fiber cable 20 or via a separately provided radio. The detection unit 332 detects the traveling state of the vehicle based on the data on the road 10 for which the data collection unit 34 has collected the data.
[0064]
Therefore, the monitor section of one fiber sensing unit 331 is shortened, and the number of roads 10 to be monitored and the road length are reduced. Since the monitor section of the fiber sensing unit 331 is short, the transmission distance of the pulsed light and the backscattered light is shortened, so that the fiber loss is reduced. As a result, the S / N ratio (signal-to-noise ratio) of the received backscattered light can be improved, and the monitor accuracy can be improved. Further, the monitoring cycle can be improved by reducing the number of roads 10 to be monitored and the road length of the fiber sensing unit 331.
[0065]
In the example of FIG. 16, a plurality of fiber sensing units 331 (in FIG. 16, two fiber sensing units 331A and 331Z) are provided in one communication carrier station building 30AZ. In the example of FIG. 16, the road 10A is connected to the fiber sensing unit 331A by the optical fiber cable 20, the road 10B is connected to the fiber sensing unit 331Z by the optical fiber cable 20, and the roads 10A and 10B are optical. It is connected by a fiber cable 20. The communication equipments 31A and 31Z correspond to the communication equipment 31, and the filters 32A and 32Z correspond to the filter 32.
[0066]
In the example of FIG. 16, the fiber sensing units 331A and 331Z both monitor the roads 10A and 10B. However, the fiber sensing unit 331A injects the pulsed light in the clockwise direction to monitor the roads 10A and 10B, and the fiber sensing unit 331Z injects the pulsed light in the counterclockwise direction to inject the pulsed light in the counterclockwise direction to monitor the roads 10A and 10B. Monitor 10B.
[0067]
When a plurality of fiber sensing units 331 are provided as shown in FIGS. 14 to 16, one road monitoring device 33 including the detection unit 332 may be provided for the plurality of fiber sensing units 331. Then, one road monitoring device 33 may intensively detect the traveling state of the vehicle on the road 10 connected to each of the plurality of fiber sensing units 331 by the optical fiber cable 20. In this case, the road monitoring device 33 may be provided inside any one of the communication carrier station building 30, or may be provided outside the communication carrier station building 30.
[0068]
Further, the optical fiber cable 20 laid on the road 10 may be disconnected. Therefore, with reference to FIGS. 17 to 19, the operation of the fiber sensing unit 331 when the optical fiber cable 20 is disconnected in the road monitoring system according to another embodiment will be described. Note that in FIGS. 17 to 19, the detection unit 332 is not shown.
[0069]
The example of FIG. 17 is an example in which the optical fiber cable 20 of the road 10 is broken in the configuration of FIG. The fiber sensing unit 331 continues to inject pulsed light into the optical fiber cable 20 even if the optical fiber cable 20 is disconnected. As a result, the communication carrier station building 30 can continuously monitor the section up to the disconnected position.
[0070]
The example of FIG. 18 is an example in which the optical fiber cable 20 of the road 10A is broken in the configuration of FIG. The fiber sensing units 331A and 331Z continue to inject pulsed light into the optical fiber cable 20 even if the optical fiber cable 20 is disconnected. At this time, the road 10 is always connected to two or more communication carrier station buildings 30 (in FIG. 18, two communication carrier station buildings 30A and 30Z). Therefore, by monitoring the communication carrier stations 30A and 30Z from both directions, it is possible to construct a redundant configuration in which the entire section can be continuously monitored in the event of a single failure.
[0071]
The example of FIG. 19 is an example in which the optical fiber cable 20 of the road 10A is broken in the configuration of FIG. The fiber sensing units 331A and 331Z continue to inject pulsed light into the optical fiber cable 20 even if the optical fiber cable 20 is disconnected. At this time, in the example of FIG. 19, a ring configuration in which the optical fiber cables 20 are connected in a ring shape is constructed. Therefore, by monitoring the ring from one communication carrier station building 30AZ in both directions, it is possible to construct a redundant configuration capable of continuously monitoring the entire section in the event of a single failure.
[0072]
Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-described embodiments. Various changes that can be understood by those skilled in the art can be made to the structure and details of the present disclosure within the scope of the present disclosure.
[0073]
In addition, some or all of the above embodiments may be described as in the following appendix, but are not limited to the following.
(Appendix 1)
A cable including a communication optical fiber laid on a road,
a receiving unit that receives an optical signal from at least one communication optical fiber included in the cable, and the
road based on the optical signal. A
road monitoring system including a detection unit that detects a pattern according to the running state of the vehicle in the road and detects the running state of the vehicle on the road based on the detected pattern according to the running state of the vehicle on the road. ..
(Appendix 2) The
detection unit detects
a pattern corresponding to the traveling state of a plurality of vehicles on the road based on the optical signal, and obtains a pattern corresponding to the traveling state of the plurality of vehicles on the detected road.
The road monitoring system according to Appendix 1, which detects the traveling state of a plurality of vehicles on the road based on the above .
(Appendix 3) The road monitoring system according to Appendix 2,
wherein the detection unit
detects a traffic condition of the road based on the detected traveling conditions of a plurality of vehicles on
the road.
(Appendix 4)
Further provided with a distribution unit that distributes the detected traffic condition information of the road to the driver of the vehicle.
The road monitoring system described in Appendix 3.
(Appendix 5)
A receiving unit that receives an optical signal from at least one communication optical fiber included in a cable laid on the road, and
a pattern according to the traveling state of the vehicle on the road based on the optical signal. A
road monitoring device including a detection unit that detects and detects a traveling state of a vehicle on the road based on a pattern corresponding to the traveling state of the vehicle on the detected road.
(Appendix 6) The
detection unit detects
a pattern corresponding to the traveling state of a plurality of vehicles on the road based on the optical signal, and obtains a pattern corresponding to the traveling state of the plurality of vehicles on the detected road.
The road monitoring device according to Appendix 5, which detects the traveling state of a plurality of vehicles on the road based on the above .
(Appendix 7) The road monitoring device according to Appendix 6,
wherein the detection unit
detects a traffic condition of the road based on the detected traveling conditions of a plurality of vehicles on
the road.
(Appendix 8)
A road monitoring method using a road monitoring device, in which
an optical signal is received from at least one communication optical fiber included in a cable laid on the road.
Based on the optical signal, a pattern corresponding to the traveling state of the vehicle on the road is detected, and based on the detected pattern according to the traveling state of the vehicle on the road, the traveling state of the vehicle on the road is detected. ,
Road monitoring method.
(Appendix 9) A procedure for receiving an optical signal from at least one communication optical fiber included in a cable laid on
a
road by a computer,
and based on the optical signal, according to a traveling state of a vehicle on the road.
A non-temporary computer that stores a procedure for detecting a pattern and detecting a running state of a vehicle on the road based on a pattern corresponding to the running state of the vehicle on the detected road, and a program for executing the procedure. Readable medium.
[0074]
This application claims priority on the basis of Japanese application Japanese Patent Application No. 2018-226684 filed on December 3, 2018, the entire disclosure of which is incorporated herein by reference.
Code description
[0075]
10, 10A, 10B Road
20 Optical fiber cable
30, 30A, 30Z, 30AZ Communication carrier station building
31, 31A, 31Z Communication equipment
32, 32A, 32Z Filter
33 Road monitoring device
331, 331A, 331Z Fiber sensing unit
332 Detection unit
34 Data collection unit
40 Computer
401 Processor
402 Memory
403 Storage
404 Input / output interface
4041 Display device
4042 Input device
405 Communication interface
50 Traffic control system
The scope of the claims
[Claim 1]
A cable including a communication optical fiber laid on a road,
a receiving unit that receives an optical signal from at least one communication optical fiber included in the cable, and
traveling of a vehicle on the road based on the optical signal. A
road monitoring system including a detection unit that detects a pattern according to a state and detects a running state of a vehicle on the road based on the detected pattern according to the running state of the vehicle on the road.
[Claim 2]
The detection unit detects
a pattern according to the traveling state of a plurality of vehicles on the road based on the optical signal, and based on the detected pattern according to the traveling state of the plurality of vehicles on the road.
The road monitoring system according to claim 1 , wherein the traveling state of a plurality of vehicles on the road is detected .
[Claim 3]
The road monitoring system according to claim 2, wherein the detection unit
detects a traffic state of the road based on the detected running state of a plurality of vehicles on
the road.
[Claim 4]
The road monitoring system according to claim 3, further comprising a distribution unit that distributes the detected traffic condition information of the road to the driver of the vehicle .
[Claim 5]
A receiving unit that receives an optical signal from at least one communication optical fiber included in a cable laid on the road, and
a pattern according to the traveling state of the vehicle on the road is detected and detected based on the optical signal. A
road monitoring device including a detection unit that detects a running state of a vehicle on the road based on a pattern corresponding to the running state of the vehicle on the road.
[Claim 6]
The detection unit detects
a pattern according to the traveling state of a plurality of vehicles on the road based on the optical signal, and based on the detected pattern according to the traveling state of the plurality of vehicles on the road.
The road monitoring device according to claim 5 , which detects the traveling state of a plurality of vehicles on the road.
[Claim 7]
The road monitoring device according to claim 6, wherein the detection unit
detects a traffic state of the road based on the detected running state of a plurality of vehicles on
the road.
[Claim 8]
A road monitoring method using a road monitoring device,
in which an optical signal is received from at least one communication optical fiber included in a cable laid on the road,
and based on the optical signal, the traveling state of the vehicle on the road is determined. A
road monitoring method for detecting a corresponding pattern and detecting a running state of a vehicle on the road based on the detected pattern according to the running state of the vehicle on the road.
[Claim 9]
The computer detects
a procedure for receiving an optical signal from at least one communication optical fiber included in a cable laid on the road, and
a pattern according to the traveling state of the vehicle on the road based on the optical signal. ,
A non-temporary computer-readable medium containing a procedure for detecting a running state of a vehicle on the road and a program for executing the detected pattern according to the running state of the vehicle on the road .
| # | Name | Date |
|---|---|---|
| 1 | 202117024481-TRANSLATIOIN OF PRIOIRTY DOCUMENTS ETC. [01-06-2021(online)].pdf | 2021-06-01 |
| 2 | 202117024481-STATEMENT OF UNDERTAKING (FORM 3) [01-06-2021(online)].pdf | 2021-06-01 |
| 3 | 202117024481-REQUEST FOR EXAMINATION (FORM-18) [01-06-2021(online)].pdf | 2021-06-01 |
| 4 | 202117024481-PRIORITY DOCUMENTS [01-06-2021(online)].pdf | 2021-06-01 |
| 5 | 202117024481-POWER OF AUTHORITY [01-06-2021(online)].pdf | 2021-06-01 |
| 6 | 202117024481-NOTIFICATION OF INT. APPLN. NO. & FILING DATE (PCT-RO-105) [01-06-2021(online)].pdf | 2021-06-01 |
| 7 | 202117024481-FORM 18 [01-06-2021(online)].pdf | 2021-06-01 |
| 8 | 202117024481-FORM 1 [01-06-2021(online)].pdf | 2021-06-01 |
| 9 | 202117024481-DRAWINGS [01-06-2021(online)].pdf | 2021-06-01 |
| 10 | 202117024481-DECLARATION OF INVENTORSHIP (FORM 5) [01-06-2021(online)].pdf | 2021-06-01 |
| 11 | 202117024481-COMPLETE SPECIFICATION [01-06-2021(online)].pdf | 2021-06-01 |
| 12 | 202117024481-certified copy of translation [10-06-2021(online)].pdf | 2021-06-10 |
| 13 | 202117024481.pdf | 2021-10-19 |
| 14 | 202117024481-FORM 3 [25-11-2021(online)].pdf | 2021-11-25 |
| 15 | 202117024481-FER.pdf | 2022-03-04 |
| 16 | 202117024481-Proof of Right [02-09-2022(online)].pdf | 2022-09-02 |
| 17 | 202117024481-PETITION UNDER RULE 137 [02-09-2022(online)].pdf | 2022-09-02 |
| 18 | 202117024481-OTHERS [02-09-2022(online)].pdf | 2022-09-02 |
| 19 | 202117024481-Information under section 8(2) [02-09-2022(online)].pdf | 2022-09-02 |
| 20 | 202117024481-FORM 3 [02-09-2022(online)].pdf | 2022-09-02 |
| 21 | 202117024481-FER_SER_REPLY [02-09-2022(online)].pdf | 2022-09-02 |
| 22 | 202117024481-COMPLETE SPECIFICATION [02-09-2022(online)].pdf | 2022-09-02 |
| 23 | 202117024481-CLAIMS [02-09-2022(online)].pdf | 2022-09-02 |
| 24 | 202117024481-ABSTRACT [02-09-2022(online)].pdf | 2022-09-02 |
| 25 | 202117024481-US(14)-HearingNotice-(HearingDate-15-03-2024).pdf | 2024-02-14 |
| 26 | 202117024481-Correspondence to notify the Controller [01-03-2024(online)].pdf | 2024-03-01 |
| 1 | 202117024481E_03-03-2022.pdf |