WO2021152787A1 - 構造物劣化検出システム、構造物劣化検出方法、及び構造物劣化検出装置 - Google Patents

構造物劣化検出システム、構造物劣化検出方法、及び構造物劣化検出装置 Download PDF

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Publication number
WO2021152787A1
WO2021152787A1 PCT/JP2020/003519 JP2020003519W WO2021152787A1 WO 2021152787 A1 WO2021152787 A1 WO 2021152787A1 JP 2020003519 W JP2020003519 W JP 2020003519W WO 2021152787 A1 WO2021152787 A1 WO 2021152787A1
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WIPO (PCT)
Prior art keywords
points
analyzed
point
deterioration detection
vibration
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Ceased
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PCT/JP2020/003519
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English (en)
French (fr)
Japanese (ja)
Inventor
佑嗣 小林
純明 榮
多賀戸　裕樹
和彦 磯山
淳 西岡
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NEC Corp
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NEC Corp
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Priority to US17/794,019 priority Critical patent/US20230349750A1/en
Priority to PCT/JP2020/003519 priority patent/WO2021152787A1/ja
Priority to JP2021574377A priority patent/JP7405161B2/ja
Publication of WO2021152787A1 publication Critical patent/WO2021152787A1/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
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M99/00—Subject matter not provided for in other groups of this subclass
    • E—FIXED CONSTRUCTIONS
    • E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C23/00—Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
    • E01C23/01—Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs

Definitions

  • the present disclosure relates to a structure deterioration detection system, a structure deterioration detection method, and a structure deterioration detection device.
  • a rover equipped with a radar system non-destructively investigates an internally damaged part of the pavement under the target surface while traveling on a paved road surface.
  • the radar system mounted on the rover irradiates the inspection point on the target surface with an electromagnetic wave radar.
  • the reflected wave of the electromagnetic wave radar is detected in time series, the reflected wave intensity at the detection point is set as discrete data for each predetermined elapsed time or depth, and these are statistically analyzed as test data.
  • the presence or absence of internal damage to the pavement below the target surface is determined.
  • Patent Document 1 has a problem that a dedicated rover needs to travel on the road in order to detect deterioration of the road, resulting in an increase in operating cost. Recently, there is an increasing need to detect deterioration not only in roads but also in other structures such as bridges and tunnels.
  • an object of the present disclosure is to provide a structure deterioration detection system, a structure deterioration detection method, and a structure deterioration detection device capable of solving the above-mentioned problems and detecting the deterioration state of the structure at low cost. be.
  • the structure deterioration detection system is Optical fiber for sensing laid in the structure and A receiving unit that receives vibration information detected by the sensing optical fiber, and Based on the vibration information, a specific part that specifies a change pattern of vibration characteristics at each of a plurality of points of the structure, and a specific part.
  • An analysis unit that analyzes the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points. To be equipped.
  • the structure deterioration detection method is It is a structure deterioration detection method by a structure deterioration detection system.
  • a reception step that receives vibration information detected by the sensing optical fiber laid in the structure, Based on the vibration information, a specific step of identifying a change pattern of each vibration characteristic at a plurality of points of the structure, and a specific step.
  • An analysis step for analyzing the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points. including.
  • the structure deterioration detection device is A receiver that receives vibration information detected by the sensing optical fiber laid in the structure, Based on the vibration information, a specific part that specifies a change pattern of vibration characteristics at each of a plurality of points of the structure, and a specific part.
  • An analysis unit that analyzes the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points. To be equipped.
  • FIG. It is a figure which shows the structural example of the structure deterioration detection system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the content of the correspondence table held by the specific part which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example which decomposed the change pattern of the natural frequency of a road into the change pattern of the natural frequency which depends on the ambient condition of a road, and the change pattern of the natural frequency which depends on the deterioration state of a road.
  • It is a flow figure which shows the example of the flow of the whole operation of the structure deterioration detection system which concerns on Embodiment 1.
  • FIG. It is a block diagram which shows the structural example of the structure deterioration detection apparatus which concerns on Embodiment 2.
  • FIG. 1 It is a figure which shows the example of the content of the natural frequency DB which concerns on Embodiment 2.
  • FIG. It is a figure which shows the example of the contents of the cluster DB which concerns on Embodiment 2.
  • FIG. It is a figure which shows the example of the operation which calculates the common time series data by the natural frequency correction part which concerns on Embodiment 2, and the operation which corrects the time series data of the natural frequency of a point to be analyzed.
  • FIG. 5 is a flow chart showing an example of an operation flow for determining a cluster of each of a plurality of points on a road in the structure deterioration detection system according to the second embodiment.
  • FIG. 11 is a diagram showing an example of information exchanged between components in the structure deterioration detection device according to the second embodiment during the operation of FIG. 11.
  • FIG. 5 is a flow chart showing an example of an operation flow for detecting deterioration and a sign of deterioration at a point to be analyzed on a road in the structure deterioration detection system according to the second embodiment.
  • FIG. 3 is a diagram showing an example of information exchanged between components in the structure deterioration detection device according to the second embodiment during the operation of FIG. 13. It is a block diagram which shows the example of the hardware composition of the computer which realizes the structure deterioration detection apparatus which concerns on embodiment.
  • the structure to be analyzed is described as the road 30, but the structure to be analyzed is not limited to the road 30.
  • the structure deterioration detection system includes a sensing optical fiber 10 and a structure deterioration detection device 20. Further, the structure deterioration detection device 20 includes a receiving unit 201, a specific unit 202, and an analysis unit 203.
  • the sensing optical fiber 10 is laid along the road 30.
  • the sensing optical fiber 10 is laid on the side of the road 30, but the laying method of the sensing optical fiber 10 is not limited to this.
  • the sensing optical fiber 10 may be buried under the road 30.
  • the sensing optical fiber 10 may be laid on the road 30 in the form of a cable formed by covering one or more sensing optical fibers 10.
  • the sensing optical fiber 10 may be an existing communication optical fiber or a newly installed optical fiber.
  • Road 30 has a structure with asphalt pavement, and there is a risk of potholes occurring due to deterioration. Further, the road 30 may be an expressway or a general road as long as the sensing optical fiber 10 is laid.
  • the receiving unit 201 incidents pulsed light on the sensing optical fiber 10 and transmits the reflected light or scattered light generated by the pulsed light being transmitted through the sensing optical fiber 10 via the sensing optical fiber 10. , Received as return light (optical signal).
  • the sensing optical fiber 10 can detect vibration information (specifically, vibration information indicating a vibration value for each time) indicating vibration of the road 30. Further, since the characteristics of the return light transmitted through the sensing optical fiber 10 change according to the vibration information of the road 30 detected by the sensing optical fiber 10, the vibration of the road 30 detected by the sensing optical fiber 10 Contains information.
  • the specific unit 202 corresponds to the identification number for identifying the point and the position information (position information indicating the distance from the structure deterioration detection device 20) of the point for each of a plurality of points on the road 30.
  • the attached correspondence table is held in advance.
  • FIG. 2 shows an example of the contents of the corresponding table.
  • the specific unit 202 is based on, for example, the time difference between the reception unit 201 transmitting the pulsed light to the sensing optical fiber 10 and the reception of the return light, the intensity of the return light received by the reception unit 201, and the like. It is possible to specify at which position (distance from the structure deterioration detection device 20) the return light is generated on the sensing optical fiber 10.
  • the specific unit 202 collates the position on the sensing optical fiber 10 where the return light is generated with the corresponding table shown in FIG. 2, so that the return light is generated at any point on the road 30. It is possible to identify if there is.
  • the identification unit 202 identifies the return light generated at each of the plurality of points on the road 30 from the return light received by the reception unit 201, and acquires vibration information included in the specified return light. .. In this way, the specific unit 202 acquires the vibration information of each of the plurality of points.
  • the specific unit 202 identifies the change pattern of the vibration characteristics of each of the plurality of points based on the vibration value for each time indicated by the vibration information of each of the plurality of points.
  • the change pattern of the vibration characteristic is, for example, a pattern showing a time change of the vibration characteristic.
  • any method can be used in the specific unit 202 as a method for calculating the vibration characteristics from the vibration value for each time.
  • a method of converting the vibration value for each time into frequency domain data for each predetermined time range and calculating the natural frequency can be considered.
  • the analysis unit 203 analyzes the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points on the road 30 specified by the specific unit 202. For example, when the natural frequency is used as the vibration characteristic of the road 30, the analysis unit 203 states that if there is a point where the natural frequency is lower than that of other points, that point is deteriorated. You can judge.
  • the change pattern of the vibration characteristics of the road 30 depends not only on the deterioration state of the road 30, but also on the surrounding conditions of the road 30 (for example, sunshine, temperature, rainwater, traffic volume, etc.).
  • the graph on the leftmost side of FIG. 3 shows a change pattern (actual measurement value) showing a time change of the natural frequency at a certain point on the road 30 when the natural frequency is used as the vibration characteristic of the road 30.
  • This natural frequency change pattern can be decomposed into a natural frequency change pattern that depends on the ambient conditions of the point and a natural frequency change pattern that depends on the deterioration state of the point.
  • the change pattern depending on the surrounding conditions is removed from the change pattern of the vibration characteristics of the point to be analyzed, and the state is deteriorated. It is preferable to perform the analysis based only on the dependent change patterns.
  • the change patterns of the vibration characteristics of the plurality of points are set as a common pattern common to those change patterns. It is considered that a change pattern that depends on the surrounding conditions appears.
  • the analysis unit 203 identifies a common pattern common to the change patterns of the vibration characteristics of each of the plurality of points on the road 30, and uses the specified common pattern.
  • the deterioration state of the point to be analyzed may be analyzed based on the change pattern of the vibration characteristics of the point to be analyzed. More specifically, the analysis unit 203 corrects the change pattern of the vibration characteristics of the point to be analyzed based on the common pattern, and the point to be analyzed based on the corrected change pattern of the vibration characteristics of the point to be analyzed. You may analyze the deterioration state of. As a result, the deterioration state of the analysis target point can be analyzed after eliminating the influence of the surrounding conditions, so that the analysis accuracy can be improved.
  • the analysis unit 203 uses each cluster of the plurality of points so that the points having similar change patterns of the vibration characteristics belong to the same cluster based on the change pattern of the vibration characteristics of the plurality of points on the road 30. May be decided.
  • the points belonging to the same cluster have the same or similar surrounding conditions, and it is considered that a change pattern depending on the surrounding conditions appears as a common pattern. Therefore, when analyzing the deterioration state of the point to be analyzed, the analysis unit 203 identifies the cluster to which the point to be analyzed belongs, and is common to the change pattern of the vibration characteristics of one or more points belonging to the specified cluster. You may specify a common pattern to be used.
  • the analysis unit 203 may analyze the deterioration state of the analysis target point based on the change pattern of the vibration characteristics of the analysis target point and the common pattern of the cluster to which the analysis target point belongs. More specifically, the analysis unit 203 corrects the change pattern of the vibration characteristics of the analysis target point based on the common pattern of the cluster to which the analysis target point belongs, and the corrected change of the vibration characteristics of the analysis target point.
  • the deterioration state of the point to be analyzed may be analyzed based on the pattern. As a result, the deterioration state of the analysis target point can be analyzed after eliminating the influence of the surrounding conditions, so that the analysis accuracy can be improved.
  • the analysis unit 203 determines each cluster of a plurality of points so that the points having similar change patterns of vibration characteristics belong to the same cluster, but the present invention is not limited to this.
  • the user may be able to determine the similarity between points based on prior knowledge such as geographic information and design information.
  • the user can determine each cluster at a plurality of points based on prior knowledge without the analysis unit 203 looking at the similarity of the change patterns of the vibration characteristics. Therefore, the user may instruct each cluster at a plurality of points, and the analysis unit 203 may determine each cluster at a plurality of points based on the instruction from the user.
  • the analysis unit 203 detects a sign of deterioration at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points on the road 30 specified by the specific unit 202. good.
  • the natural frequency is used as the vibration characteristic of the road 30
  • the point is the point. It can be judged that there is a sign of deterioration.
  • a sign of deterioration of the road 30 can be detected at a stage before a pothole is generated due to deterioration of the road 30 (for example, a stage where cracks or cavities described later are generated). Therefore, the road 30 can be repaired at an early stage, and the occurrence of a traffic accident due to a pothole can be prevented.
  • the receiving unit 201 receives the return light including the vibration information detected by the sensing optical fiber 10 from the sensing optical fiber 10 (step S101).
  • the specifying unit 202 identifies a change pattern of the vibration characteristics of each of the plurality of points on the road 30 based on the vibration information included in the return light received by the receiving unit 201 (step S102).
  • the analysis unit 203 analyzes the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of the plurality of points specified by the specific unit 202 (step S103).
  • the receiving unit 201 receives the vibration information detected by the sensing optical fiber 10. Based on the vibration information, the identification unit 202 identifies the change pattern of the vibration characteristics of each of the plurality of points on the road 30.
  • the analysis unit 203 analyzes the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points. Therefore, in order to detect the deteriorated state of the road 30, it is sufficient to have the sensing optical fiber 10, and it is not necessary for the dedicated rover to travel on the road 30 as in Patent Document 1. Therefore, the deteriorated state of the road 30 can be detected at low cost.
  • an existing communication optical fiber can be used as the sensing optical fiber 10.
  • the structure deterioration detection system can be constructed at low cost.
  • the optical fiber sensing technology using the sensing optical fiber 10 as a sensor is used. Therefore, there are 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.
  • the structure deterioration detection system according to the second embodiment is a more specific version of the structure deterioration detection system according to the first embodiment described above. Specifically, the structure deterioration detection system according to the second embodiment replaces the structure deterioration detection device 20 of the first embodiment described above with the structure deterioration detection device 20A, and has an appearance.
  • the system configuration is the same as that of the first embodiment described above.
  • the structure deterioration detection device 20A according to the second embodiment uses the natural frequency as the vibration characteristic of the road 30 to analyze the deterioration state of the point on the road 30.
  • the structure deterioration detection device 20A has a receiving unit 211, a natural frequency calculation unit 212, a natural frequency DB (Database) 213, a cluster determination unit 214, and a cluster DB 215. , The natural frequency correction unit 216, and the deterioration detection unit 217 are provided.
  • the receiving unit 211 corresponds to the receiving unit 201 of FIG.
  • the combination of the natural frequency calculation unit 212 and the natural frequency DB 213 corresponds to the specific unit 202 of FIG.
  • the combination of the cluster determination unit 214, the cluster DB 215, the natural frequency correction unit 216, and the deterioration detection unit 217 corresponds to the analysis unit 203 of FIG.
  • the receiving unit 211 incidents pulsed light on the sensing optical fiber 10 and transmits the reflected light or scattered light generated by the pulsed light being transmitted through the sensing optical fiber 10 via the sensing optical fiber 10. , Received as return light.
  • the return light received by the receiving unit 211 includes the return light generated at each of the plurality of points on the road 30.
  • each return light includes vibration information indicating the vibration value of the vibration generated at the corresponding point for each time.
  • the natural frequency calculation unit 212 is based on, for example, the time difference between the reception unit 211 transmitting the pulsed light to the sensing optical fiber 10 and the reception of the return light, the intensity of the return light received by the reception unit 211, and the like. , It is possible to specify at which position (distance from the structure deterioration detection device 20A) the return light is generated on the sensing optical fiber 10.
  • the natural frequency calculation unit 212 includes identification numbers for identifying the points and position information (position information indicating the distance from the structure deterioration detection device 20) of the points for each of a plurality of points on the road 30. , And a corresponding table (see, for example, FIG. 2) associated with the above are stored in advance.
  • the natural frequency calculation unit 212 collates the position on the sensing optical fiber 10 where the return light is generated with the corresponding table, and at what point on the road 30 the return light is generated. Can be identified.
  • the natural frequency calculation unit 212 identifies the return light generated at each of the plurality of points on the road 30 from the return light received by the reception unit 201, and the vibration information included in the specified return light. To get. In this way, the natural frequency calculation unit 212 collects the vibration values for each time at the plurality of points.
  • the natural frequency calculation unit 212 calculates the natural frequency of each time of the plurality of points based on the vibration value of each time of the plurality of points on the road 30.
  • any method can be used as a method of calculating the natural frequency from the vibration value for each time.
  • a method of converting the vibration value for each time into data in the frequency domain for each predetermined time range and calculating the natural frequency can be considered, but the method is not limited thereto.
  • the natural frequency DB 213 is a database in which the natural frequency for each time of a plurality of points on the road 30 calculated by the natural frequency calculation unit 212 is registered.
  • FIG. 6 shows an example of the contents of the natural frequency DB 213.
  • the data registered in the natural frequency DB 213 shows time-series data indicating the time change of the natural frequency of each of the plurality of points, and the natural frequency of each of the plurality of points in the above-described first embodiment 1 Corresponds to the change pattern showing the time change of.
  • the cluster determination unit 214 reads the time-series data of the natural frequencies of each of the plurality of points on the road 30 from the natural frequency DB 213, and calculates the similarity of the time-series data of the natural frequencies between the plurality of points. , Determine each cluster of multiple points so that points with high similarity belong to the same cluster.
  • the method of determining the cluster is not limited to this.
  • the user may be able to determine the similarity between points based on prior knowledge such as geographic information and design information, and may be able to determine each cluster of a plurality of points. Therefore, the user may instruct each cluster at a plurality of points, and the cluster determination unit 214 may determine each cluster at a plurality of points based on the instruction from the user.
  • the cluster DB 215 is a database in which the cluster results determined by the cluster determination unit 214, that is, the clusters of the plurality of points on the road 30 are registered.
  • FIG. 7 shows an example of the contents of the cluster DB 215.
  • the natural frequency correction unit 216 reads the cluster result from the cluster DB 215, identifies the cluster to which the analysis target point belongs among the plurality of points on the road 30, and identifies one or more points belonging to the specified cluster. Check.
  • the natural frequency correction unit 216 reads out the time series data of each natural frequency of one or more points belonging to the cluster specified above from the natural frequency DB 213, and is common to the read time series data. Calculate time series data.
  • This common time-series data corresponds to a common pattern common to the change patterns of the natural frequencies of one or more points belonging to the specified cluster in the above-described first embodiment.
  • the natural frequency correction unit 216 corrects the time series data of the natural frequency of the point to be analyzed based on the common time series data calculated above.
  • FIG. 8 shows an example in which three points belong to the cluster to which the points to be analyzed belong.
  • the natural frequency correction unit 216 time-differentiates the time-series data of the natural frequencies of each of the three points, and determines the time change rate of the natural frequencies of each of the three points. Obtain time series data.
  • the natural frequency correction unit 216 obtains the average value of the time series data of the time change rate of the natural frequency of the three points, and uses the obtained average value as the common time series data.
  • the calculation method of the common time series data is not limited to this. Since the three points shown in FIG. 8 have a high degree of similarity in the time series data of the natural frequency, the time series data of the time change rate of the natural frequency are also similar. Therefore, the natural frequency correction unit 216 may use, for example, time-series data of the time-change rate of the natural frequency at any of the three points as common time-series data.
  • the natural frequency correction unit 216 corrects the time series data of the natural frequency of the point to be analyzed among the three points based on the common time series data calculated above.
  • the corrected time-series data is the time-series data of the natural frequency, which is dependent on the deterioration state of the analysis target point, excluding the influence of the surrounding conditions of the analysis target point.
  • the time series data of the natural frequency is corrected for all three points, but this correction may be performed only for the points to be analyzed.
  • the deterioration detection unit 217 detects deterioration and signs of deterioration of the point to be analyzed based on the corrected time-series data of the natural frequency of the point to be analyzed corrected by the natural frequency correction unit 216.
  • the road 30 has a structure in which an asphalt pavement layer 31 is formed on the roadbed 32 (FIG. 9A).
  • the asphalt pavement layer 31 is affected by a traffic load or the like, and cracks occur due to aged deterioration, and the cracked portion 311 is formed (FIG. 9 (b)). Then, when it rains, the rainwater W permeates from the cracked portion 311 to the roadbed 32 (FIG. 9 (c)).
  • the time region T1 is a stage before cracks occur in the asphalt pavement layer 31, and no significant change is observed in the natural frequency.
  • the asphalt pavement layer 31 is cracked due to aged deterioration, and the natural frequency is greatly reduced (point a).
  • Deterioration detection unit 217 refers to the corrected time-series data of the natural frequency of the analysis target point when detecting the deterioration and the deterioration sign of the analysis target point on the road 30. Then, when the deterioration detection unit 217 detects, for example, a point corresponding to the d point in the time region T4 of FIG. 10 in the time series data, it can be determined that the point to be analyzed has deteriorated. Further, when the deterioration detection unit 217 detects in the time series data a point corresponding to any one of the point a in the time region T2, the point b in the time region T3, or the point c in the time region T3 in FIG. , It can be judged that the point to be analyzed has a sign of deterioration.
  • the deterioration detection unit 217 may notify an alert when it is determined that the point to be analyzed is deteriorated or there is a sign of deterioration.
  • the alert notification destination may be, for example, a terminal installed in a traffic control center that monitors the road 30 or the like.
  • the alert notification method may be, for example, a method of displaying a GUI (Graphical User Interface) screen on the display or monitor of the notification destination terminal, or a method of outputting a message by voice from the speaker of the notification destination terminal. ..
  • FIG. 12 shows an example of information exchanged between the components in the structure deterioration detection device 20A during the operation of FIG.
  • the connection line through which information is exchanged is shown by a solid line, and the other connection lines are shown by a broken line (same in FIG. 14).
  • the natural frequency calculation unit 212 collects vibration values for each time at a plurality of points on the road 30 from the return light received by the reception unit 201 (step S201). ..
  • the natural frequency calculation unit 212 calculates the natural frequency for each time at the plurality of points based on the vibration value for each time at the plurality of points, and the calculation result is stored in the natural frequency DB 213.
  • Register (step S202) An example of the contents of the natural frequency DB 213 at this time is as shown in FIG. Further, the data registered in the natural frequency DB 213 shows time series data showing the time change of the natural frequency of each of the plurality of points.
  • the cluster determination unit 214 reads out the time-series data of the natural frequencies of each of the plurality of points on the road 30 from the natural frequency DB 213, and the similarity of the time-series data of the natural frequencies between the plurality of points. Is calculated (step S203).
  • the cluster determination unit 214 determines each cluster of a plurality of points so that the points having high similarity belong to the same cluster (step S204), and registers the determined cluster result in the cluster DB 215 (step S204). Step S205).
  • An example of the contents of the cluster DB 215 at this time is as shown in FIG.
  • FIG. 14 shows an example of information exchanged between the components in the structure deterioration detection device 20A during the operation of FIG. Further, here, it is assumed that the point to be analyzed on the road 30 is the point A.
  • steps S301 and S302 similar to steps S201 and S202 of FIG. 11 are performed.
  • the natural frequency correction unit 216 reads the cluster result from the cluster DB 215, identifies the cluster to which the analysis target point A on the road 30 belongs (here, the cluster X), and belongs to the specified cluster X. Confirm one or more points (step S303).
  • the natural frequency correction unit 216 reads out the time series data of each natural frequency of one or more points belonging to the cluster X specified above from the natural frequency DB 213, and is common to the read time series data. Calculate the common time series data to be performed (step S304).
  • the natural frequency correction unit 216 corrects the time series data of the natural frequency of the point A to be analyzed based on the common time series data calculated above (step S305).
  • the deterioration detection unit 217 detects the deterioration of the analysis target point A and the signs of deterioration based on the corrected time series data of the natural frequency of the analysis target point A corrected by the natural frequency correction unit 216. (Step S306).
  • the natural frequency calculation unit 212 uses the natural vibrations of the plurality of points at each time based on the vibration values of the plurality of points on the road 30 at each time. Calculate the number and generate time-series data of the natural frequencies of each of the multiple points.
  • the cluster determination unit 214 determines each cluster of a plurality of points so that the points having high similarity belong to the same cluster.
  • the natural frequency correction unit 216 identifies the cluster to which the analysis target point on the road 30 belongs, and the common time series data common to the time series data of each natural frequency of one or more points belonging to the specified cluster. Is calculated, and the time series data of the natural frequency of the analysis target point is corrected based on the calculated common time series data.
  • the deterioration detection unit 217 detects deterioration of the point to be analyzed and signs of deterioration based on the corrected time-series data of the natural frequency of the point to be analyzed. Therefore, in order to detect the deteriorated state of the road 30, it is sufficient to have the sensing optical fiber 10, and it is not necessary for the dedicated rover to travel on the road 30 as in Patent Document 1. Therefore, the deteriorated state of the road 30 can be detected at low cost. Other effects are the same as those in the first embodiment described above.
  • 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.
  • 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, for example, 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.
  • the storage 403 stores a program that realizes the functions of the components included in the structure deterioration detection devices 20 and 20A. By executing each of these programs, the processor 401 realizes the functions of the components included in the structure deterioration detection devices 20 and 20A, respectively. 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 components included in the structure deterioration detection devices 20 and 20A.
  • Non-temporary computer-readable media include various types of tangible storage media.
  • Examples of non-temporary computer-readable media include magnetic recording media (eg, flexible disks, magnetic tapes, hard disk drives), opto-magnetic recording media (eg, opto-magnetic discs), CD-ROMs (Compact Disc-ROMs), CDs. -R (CD-Recordable), CD-R / W (CD-ReWritable), semiconductor memory (for example, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM.
  • the program also includes.
  • the 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.
  • the input / output interface 404 is connected to a display device 4041, an input device 4042, a sound output device 4043, 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), a CRT (Cathode Ray Tube) display, and a monitor.
  • 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 sound output device 4043 is a device such as a speaker that acoustically outputs sound corresponding to acoustic data processed by the processor 401.
  • the communication interface 405 sends and receives data to and from an external device.
  • the communication interface 405 communicates with an external device via a wired communication path or a wireless communication path.
  • the structure deterioration detection devices 20 and 20A are provided with a plurality of components, but the present invention is not limited to this.
  • the components provided in the structure deterioration detection devices 20 and 20A are not limited to being provided in one device, and may be distributed in a plurality of devices.
  • the structure to be analyzed is the road 30 has been described as an example, but the present invention is not limited to this.
  • the structure to be analyzed may be a bridge, a tunnel, a pipe, a dam, or the like.
  • Appendix 1 Optical fiber for sensing laid in the structure and A receiving unit that receives vibration information detected by the sensing optical fiber, and Based on the vibration information, a specific part that specifies a change pattern of vibration characteristics at each of a plurality of points of the structure, and a specific part.
  • An analysis unit that analyzes the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points.
  • a structure deterioration detection system Appendix 2 The analysis unit Identify a common pattern that is common to the change patterns of the vibration characteristics of each of the multiple points.
  • the structure deterioration detection system according to Appendix 1. (Appendix 3) The analysis unit Determine each cluster of the plurality of points, Among the plurality of points, the cluster to which the point to be analyzed belongs is specified, and the common pattern common to the change pattern of the vibration characteristics of one or more points belonging to the specified cluster is specified. Based on the change pattern of the vibration characteristics of the point to be analyzed and the common pattern of the cluster to which the point to be analyzed belongs, the deterioration state of the point to be analyzed is analyzed. The structure deterioration detection system according to Appendix 1.
  • the analysis unit Based on the change pattern of the vibration characteristics of each of the plurality of points, a sign of deterioration of at least one of the plurality of points is detected.
  • the structure deterioration detection system according to any one of Appendix 1 to 5.
  • the change pattern of the vibration characteristic is a change pattern showing a time change of the vibration characteristic.
  • the vibration characteristic is a natural frequency.
  • the structure deterioration detection system according to any one of Appendix 1 to 7. It is a structure deterioration detection method by a structure deterioration detection system.
  • a reception step that receives vibration information detected by the sensing optical fiber laid in the structure, Based on the vibration information, a specific step of identifying a change pattern of each vibration characteristic at a plurality of points of the structure, and a specific step.
  • An analysis step for analyzing the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points.
  • Structure deterioration detection method including. (Appendix 10) In the analysis step, Identify a common pattern that is common to the change patterns of the vibration characteristics of each of the multiple points. Based on the change pattern of the vibration characteristics of the point to be analyzed among the plurality of points and the common pattern, the deterioration state of the point to be analyzed is analyzed.
  • the structure deterioration detection method according to Appendix 9. (Appendix 11) In the analysis step, Determine each cluster of the plurality of points, Among the plurality of points, the cluster to which the point to be analyzed belongs is specified, and the common pattern common to the change pattern of the vibration characteristics of one or more points belonging to the specified cluster is specified. Based on the change pattern of the vibration characteristics of the point to be analyzed and the common pattern of the cluster to which the point to be analyzed belongs, the deterioration state of the point to be analyzed is analyzed.
  • each cluster of the plurality of points is determined so that the points having similar change patterns of the vibration characteristics belong to the same cluster.
  • Appendix 13 In the analysis step, Based on the common pattern, the change pattern of the vibration characteristics at the point to be analyzed is corrected. Based on the corrected change pattern of the vibration characteristics of the point to be analyzed, the deterioration state of the point to be analyzed is analyzed. The method for detecting structural deterioration according to any one of Appendix 10 to 12.
  • a receiver that receives vibration information detected by the sensing optical fiber laid in the structure, Based on the vibration information, a specific part that specifies a change pattern of vibration characteristics at each of a plurality of points of the structure, and a specific part.
  • An analysis unit that analyzes the deterioration state of at least one of the plurality of points based on the change pattern of the vibration characteristics of each of the plurality of points.
  • a structure deterioration detection device A structure deterioration detection device.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Traffic Control Systems (AREA)
PCT/JP2020/003519 2020-01-30 2020-01-30 構造物劣化検出システム、構造物劣化検出方法、及び構造物劣化検出装置 Ceased WO2021152787A1 (ja)

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JP2021574377A JP7405161B2 (ja) 2020-01-30 2020-01-30 構造物劣化検出システム、構造物劣化検出方法、及び構造物劣化検出装置

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