JP7323380B2 - Net-like structure maintenance method and net-like structure maintenance device - Google Patents

Description

TECHNICAL FIELD The present invention relates to a rope structure maintenance method and a rope structure maintenance device for repairing a rope structure including a wire rope used for a bridge or the like according to the state of deterioration.

In recent years, there is concern that existing structures will become obsolete in the future. In order to prolong the life of existing structures, regular management and appropriate maintenance are required. For example, a suspension bridge in which girders are supported using wire ropes is exposed to wind and rain in a harsh natural environment such as the sea, causing corrosion of the wire ropes. Suspension bridges are required to perform preventive maintenance management, in particular by conducting regular inspections of wire ropes, detecting corrosion at an early stage, and carrying out appropriate repairs even when minor damage occurs. The wire ropes to be inspected for suspension bridges are main cables suspended between towers and hanger ropes for supporting girders suspended vertically from the main cables.

Among them, the hanger rope is formed by bundling a plurality of steel wires. The surface of the hanger rope is painted or plated, and the paint film peels off due to deterioration over time, exposing the metal surface of the wire at the peeled portion and corrodes. For this reason, it is necessary to periodically inspect the hanger rope to discover corroded portions and take countermeasures according to the degree of corrosion. Conventionally, inspection of hanger ropes has relied on visual observation, but the applicant has already proposed a technology for automating inspection of hanger ropes (for example, Patent Document 1).

According to the technique described in Patent Document 1, a running body is caused to run along the hanger rope, the surface of the hanger rope is imaged using a camera provided on the running body, and the image obtained by the imaging is used. Corroded parts of the wire rope can be identified.

JP 2018-204326 A

Since the hanger rope is formed by bundling a plurality of steel wires as described above, impurities including water may enter the inside of the hanger rope, causing corrosion inside the hanger rope. However, according to the technique described in Patent Literature 1, it is possible to find the corroded portion on the surface of the hanger rope from the image obtained by imaging, but it is difficult to detect the corrosion that has occurred inside the hanger rope. rice field. The inventors have been earnestly researching and improving the inspection of the hanger rope.

SUMMARY OF THE INVENTION The present invention has been made in view of the above circumstances, and provides a method for maintaining and managing a rope-like structure that can estimate the state of deterioration of the rope-like structure and select repair measures according to the state of deterioration. An object of the present invention is to provide a maintenance device for a rope-like structure.

One aspect of the present invention is a method for maintaining and managing a vertically extending net-like structure, in which an image of the net-like structure in the circumferential direction is captured in association with the position in the length direction of the net-like structure. detecting a first abnormal portion generated on the surface of the rope-like structure based on the captured image; a step of acquiring in association with a position in the length direction of the body; a step of detecting a second abnormal portion occurring in the rope-like structure based on the measured value of the non-destructive inspection; and a step of detecting the first abnormal portion and estimating the state of deterioration of the rope-like structure based on the positional relationship between the first position where a The position has a vertical positional relationship, the vertical positional relationship between the first position and the second position is detected from the distance between the first position and the second position, and the first position above the second position is detected. If there is a position, it is presumed that the inside of the rope-like structure is corroded at the second position due to impurities including water that have entered from the first position, and the height between the first position and the second position is A method for maintaining and managing a net-like structure, in which it is presumed that the outside and the inside of the net-like structure are corroded when they match .

According to the present invention, the positional relationship between the first position where the first abnormal portion is generated and the second position where the second abnormal portion is generated can be referred to by combining the imaging data and the measurement data of the non-destructive inspection. Thus, it is possible to estimate the deterioration state of the rope-like structure, which could not be estimated only by the detection result of the first detection unit or the detection result of the second detection unit.

Further, in the present invention, when the first position is located above the second position within a predetermined distance, the surface of the rope-like structure is repaired at the first position, and water cutoff measures are repaired. It may be configured to further include a step.

According to the present invention, it is possible to select an appropriate repair measure according to the estimated different deterioration states of the rope-like structure, prevent unnecessary repairs, and reduce costs.

The present invention may further include the step of taking repair measures according to the state of deterioration of the rope-like structure based on the positional relationship between the first position and the second position.

According to the present invention, it is possible to select an appropriate repair measure according to the estimated positional relationship of the state of deterioration of the rope-like structure, prevent unnecessary repairs, and reduce costs.

The present invention is also configured such that the step of detecting the first abnormal portion further comprises the step of extracting an image containing the first abnormal portion from among the plurality of images by machine learning using deep learning. may

According to the present invention, machine learning based on deep learning can be used to accurately extract an image containing the first abnormal portion from a large amount of imaging data of a rope-like structure with a long distance, thereby significantly reducing the work load and maintaining the image. Management costs can be significantly reduced.

One aspect of the present invention is a maintenance device for a vertically extending rope-like structure, in which an image of the rope-like structure in the circumferential direction is captured in association with the position in the length direction of the rope-like structure. a first detection unit that acquires a measured value of the rope-like structure based on a non-destructive inspection in association with a position in the length direction of the rope-like structure; detecting a first abnormal portion occurring on the surface of the rope-like structure based on the measured value of the non-destructive inspection; detecting a second abnormal portion occurring in the rope-like structure based on the measured value of the nondestructive inspection; a computing unit for estimating a state of deterioration of the rope-like structure based on a positional relationship between a first position where the abnormal portion occurs and a second position where the second abnormal portion occurs; The second position has a vertical positional relationship, and in the first detection section and the second detection section, the vertical position of the first position and the second position is determined from the distance between the first position and the second position. The positional relationship is detected, and if the first position is above the second position in the computing unit, impurities including water entering from the first position cause the rope-like structure to be damaged at the second position. Maintenance and management of a rope-like structure, in which it is assumed that the inside is corroded, and that the outside and inside of the rope-like structure are corroded when the heights of the first position and the second position match. It is a device.

According to the present invention, by combining the detection result of the first detection unit and the detection result of the second detection unit, the first position where the first abnormal portion occurs and the second position where the second abnormal portion occurs. By referring to the positional relationship, it is possible to estimate the deterioration state of the rope-like structure, which could not be estimated only by the detection result of the first detection unit or the detection result of the second detection unit.

According to the present invention, it is possible to estimate the state of deterioration of the rope-like structure and select repair measures according to the state of deterioration.

1 is a diagram showing the configuration of a suspension bridge to be maintained and managed by the present invention; FIG. It is a block diagram showing composition of a maintenance device concerning an embodiment of the present invention. It is a figure which shows the structure of a 1st detection part. It is a perspective view which shows the structure of the imaging part of a 1st detection part. It is a figure which shows the structure of a 2nd detection part. It is a figure which shows the structure of the magnetizer of a 2nd detection part. It is a figure which shows the structure of the bridge circuit of a 2nd detection part. It is a block diagram which shows the structure of a 2nd detection part. It is a figure which shows the inspection principle of a 2nd detection part. It is a figure which shows the imaging data of a 1st detection part. It is a figure which shows the measurement data of a 2nd detection part. It is a figure which shows the other imaging data of a 1st detection part. It is a figure which shows the other measurement data of a 2nd detection part. 4 is a flow chart showing the flow of processing executed in a computing unit;

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The maintenance management device diagnoses the degree of deterioration of the rope-like structure and selects repair measures according to the deterioration state. Hereinafter, as an example of a rope structure, a method of maintaining and managing a hanger rope of a suspension bridge using a maintenance and management device will be described.

As shown in FIG. 1, the suspension bridge B is a bridge having a structure in which a bridge girder 160 is suspended by wire ropes. The suspension bridge B is constructed with two main towers 100 (towers) between spans. The main tower 100 is constructed on a foundation 140 provided in the sea. A main cable 120 supported on the upper ends of the main towers 100 is suspended between the two main towers 100 . The main cable 120 is formed by bundling a plurality of steel wires in parallel.

Both ends of the main cable 120 are connected to anchorages 130 installed on the ground. The anchorage 130 is a concrete weight and connects the main cable 120 to the ground surface. A plurality of hanger ropes 150 are suspended from the main cable 120 . A bridge girder 160 is supported by the tension of a plurality of hanger ropes 150 .

The hanger rope 150 is formed by twisting a plurality of wire ropes. The hanger rope 150 is in an exposed state, and its surface is painted or plated as anti-corrosion measures. The hanger rope 150 repeats expansion, contraction, expansion and contraction, vibration, etc. under the influence of daytime temperature changes and load changes of the bridge girder 160 while being exposed to wind and rain on the sea. peels off. At the portion where the paint film or the like has peeled off, the surface of the metal base of the wire rope is directly exposed to wind and rain, causing rust to develop and corrosion to progress.

Since the hanger rope 150 is twisted with a plurality of wire ropes, corrosion may occur inside. Therefore, it is important to diagnose the degree of deterioration of the hanger rope 150 and appropriately determine the timing of maintenance such as repainting according to the degree of deterioration. The maintenance management device extracts surface and internal abnormal portions of the hanger rope 150, estimates the state of deterioration of the hanger rope 150, and selects repair measures according to the state of deterioration.

As shown in FIG. 2, the maintenance device 1 includes a first detection unit 2 that images the surface of the hanger rope 150, a second detection unit 10 that performs non-destructive inspection of the hanger rope 150, and a terminal device 20. Prepare. The 1st detection part 2 matches the image of the circumferential direction of the hanger rope 150 with the position of the length direction of the hanger rope 150, and images it using a camera, for example. The second detection unit 10 , for example, applies a change in the electromagnetic field to the hanger rope 150 and detects the magnetic flux in the hanger rope 150 in association with the position in the length direction of the hanger rope 150 . A detailed description of the first detection unit 2 and the second detection unit 10 will be given later.

The terminal device 20 determines the degree of deterioration of the hanger rope 150 based on the detection results of the first detection section 2 and the second detection section 10 . The terminal device 20 is implemented by a terminal device such as a personal computer, a tablet terminal, or a smart phone. The terminal device 20 is connected to the first detection unit 2 and the second detection unit 10 by wire or wirelessly, for example.

The terminal device 20 and the first detection unit 2 and the second detection unit 10 do not necessarily need to be connected. The information may be read by the terminal device 20 via a storage medium, or obtained by the terminal device 20 by data communication or the like from the first detection unit 2 and the second detection unit 10 via a network.

For example, the terminal device 20 determines the degree of deterioration of the hanger rope 150 based on the acquisition unit 30 that acquires information on the detection results of the first detection unit 2 and the second detection unit 10, and the information acquired from the acquisition unit 30. , a display unit 50 that displays the determination result of the calculation unit 40 , and a storage unit 60 that stores the information acquired by the acquisition unit 30 .

The acquisition unit 30 is an interface that acquires measurement data from the first detection unit 2 and the second detection unit 10 . The calculation unit 40 determines the degree of deterioration of the hanger rope 150 based on data acquired from the first detection unit 2 and the second detection unit 10 .

The arithmetic unit 40 is implemented by a processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit) executing a program (software). Some or all of these functional units may be realized by hardware such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), and FPGA (Field-Programmable Gate Array), or may be realized by software. It may be realized by cooperation of hardware. The program may be stored in advance in a storage device such as a HDD (Hard Disk Drive) or flash memory, or may be stored in a removable storage medium such as a DVD or CD-ROM. It may be installed in the storage device by being attached.

The display unit 50 outputs the calculation result of the calculation unit 40 . The display unit 50 is, for example, a display device such as an LCD (Liquid Crystal Display), an organic EL (Electro Luminescence) display, or an LED (Light Emitting Diode) display. The display unit 50 may not necessarily be provided in the terminal device 20, and may be realized by other terminal devices such as a personal computer, a tablet terminal, and a smartphone that are wirelessly or wiredly connected to the terminal device 20.

The storage unit 60 stores the imaging data of the first detection unit 2 and the measurement data of the second detection unit 10 acquired from the acquisition unit 30 . The storage unit 60 is a storage device configured by a storage medium such as flash memory or HDD (Hard Disk Drive). The storage unit 60 may be built in the terminal device 20, or may be configured by a server connected to an external device or network.

Next, the first detection section 2 will be described in detail. The first detection unit 2 detects damage to the hanger rope 150 by imaging the surface of the hanger rope 150 .

As shown in FIG. 3 , the first detection unit 2 includes a traveling body 3 that moves up and down along the hanger rope 150 and a pair of image pickup units 5 that pick up images of the surface of the hanger rope 150 . The running body 3 is constructed between a pair of hanger ropes 150, for example. The traveling body 3 is suspended from a winch wire W drawn out from a winch (not shown). The running body 3 moves up and down along the hanger rope 150 by means of a winch. For the detailed configuration of the first detection unit 2, for example, the configuration described in Patent Document 1 can be applied.

FIG. 4 shows a half configuration of the imaging section 5 as seen from a direction perpendicular to the length direction of the hanger rope 150 . The imaging section 5 includes a gripping section 4 that grips the hanger rope 150 . The gripping portion 4 includes a plurality of rollers 4R arranged to grip the circumference of the hanger rope 150 . The roller 4</b>R is rotatably supported by the grip portion 4 so as to run along the length direction of the hanger rope 150 . The imaging unit 5 includes four cameras C that divide the circumference of the hanger rope 150 into four equal parts. Accordingly, the imaging unit 5 is equipped with a total of four cameras C. As shown in FIG.

The camera C images a predetermined range in the length direction of the hanger rope 150 and also images a range of at least 90 degrees in the circumferential direction of the hanger rope 150 . The four cameras C provided in the image capturing unit 5 capture images of different ranges obtained by equally dividing the circumference of the hanger rope 150 into four. The areas captured by the four cameras C may overlap each other.

The camera C is, for example, an imaging device configured by a camera element such as a CCD (Charge-Coupled Device) image sensor or a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor. The image data captured by the four cameras C are joined together by image processing of the arithmetic unit 40 of the terminal device 20, which will be described later.

A plurality of light sources L for illuminating the hanger rope 150 are provided near the camera C. As shown in FIG. The light source L is, for example, LED (Light Emitting Diode) lighting. Note that the light source L may be an incandescent lamp, a fluorescent lamp, or the like. The light source L illuminates a range of at least 90 degrees in the circumferential direction of the hanger rope 150 .

With the above configuration, the first detector 2 runs along the length direction of the hanger rope 150 . Then, the first detection unit 2 captures images of the two hanger ropes 150 in the circumferential direction in association with the positions of the two hanger ropes 150 in the length direction by the imaging unit 5 . The first detector 2 is controlled by remote control, for example. The first detection unit 2 raises, lowers, and takes an image based on the operation. The first detector 2 may be remotely operated by the terminal device 20 .

Next, processing of image data acquired by the first detection unit 2 will be described. The image data acquired by the first detection unit 2 is output to the terminal device 20 . The terminal device 20 stores the image data in the storage section 60 via the acquisition section 30 . The image data stored in storage unit 60 includes information associated with the position of hanger rope 150 . The image data may be video data. Recording by the imaging unit 5 is started by remote control. The recording status may be displayed on the display unit 50 of the terminal device 20 via wireless communication, for example.

Image data captured by the imaging unit 5 is temporarily stored in a storage unit (not shown) provided in the first detection unit 2 . The temporarily stored image data is output to the terminal device 20 through wireless communication after imaging and stored in the storage unit 60 .

The calculation unit 40 reads the image data stored in the storage unit 60 and extracts abnormal portions occurring on the surface of the hanger rope 150 . The calculation unit 40 extracts an abnormal portion occurring on the surface of the hanger rope 150 by learning using deep learning, for example.

The calculation unit 40 first performs machine learning by deep learning based on a neural network, using a plurality of images of the surface of the hanger rope 150 in a normal state as teacher data. The calculation unit 40 recognizes the surface of the hanger rope 150 in a normal state based on machine learning. The calculation unit 40 reads the image data, compares the surface of the hanger rope 150 in a normal state, and displays an image of the surface of the hanger rope 150 in a state where corrosion is different from the surface of the hanger rope 150 in a normal state. It is extracted in association with the position in the length direction of the rope 150 .

For example, when the ratio (deformation rate) of the area of the abnormal region to the surface area of the hanger rope 150 in the normal state is equal to or greater than a preset threshold value, the calculation unit 40 determines that the hanger rope It is determined that the surface of 150 is abnormal. In this way, the calculation unit 40 calculates the deformation rate based on the imaged image, and determines the position of the corrosion portion (first abnormal portion) generated on the surface of the hanger rope 150 in the length direction of the hanger rope 150 ( 1st position). By extracting corroded parts from a large number of images using machine learning, work efficiency can be improved and maintenance costs can be greatly reduced.

The calculation unit 40 stores information on the extracted corroded portion in the storage unit 60 . Here, the corroded portion is, for example, a portion where the paint film or plating on the surface of the hanger rope 150 is peeled off and corrosion (rust) is generated.

The calculation unit 40 selects a repair measure for the corroded portion according to the deformation rate of the corroded portion in the extracted image. As will be described later, the calculation unit 40 detects the first abnormal portion detected by the first detection unit 2 based on the detection result of the second detection unit 10 in addition to the detection result of the first detection unit 2 . The state of the hanger rope 150 is estimated based on the positional relationship between the first position and the second position where the second abnormal portion detected by the second detection unit 10 occurs.

Next, the second detection section 10 will be described in detail. The second detection section 10 detects the state of the hanger rope 150 by a non-destructive detection method different from that of the first detection section 2 . The second detection unit 10 is, for example, an internal corrosion detection device that applies a magnetic field to the hanger rope 150, measures the magnetic flux passing through the hanger rope 150, and detects defects or the like in the hanger rope 150 based on the measured values.

As shown in FIG. 5, the second detection unit 10 includes a pair of housings 11 that move up and down along the pair of hanger ropes 150, and a pair of magnetizers provided in the housings 11 that apply a magnetic field to the hanger ropes 150. 12. The housing 11 is suspended from a winch wire W drawn out from a winch (not shown). The housing 11 is lifted and lowered along the hanger rope 150 by a winch. The housing 11 runs along the length direction of the hanger rope 150, for example.

FIG. 6 shows a half configuration of the magnetizer 12 viewed from a direction perpendicular to the length direction of the hanger rope 150 . The magnetizer 12 includes permanent magnets 13S and 13N that magnetize the hanger rope 150 and a sensor 14 that detects changes in the electromagnetic characteristics of the hanger rope 150 . The magnetizer 12 magnetizes the hanger rope 150 with magnetic fields generated from the permanent magnets 13S and 13N. The sensor 14 is formed in a coil shape wound around the hanger rope 150 . The sensor 14 measures the amount of magnetic flux passing through the inside of the hanger rope 150 magnetized by the permanent magnets 13S, 13N.

With the above configuration, the second detector 10 runs along the length direction of the hanger rope 150 . Then, the second detection unit 10 magnetizes the hanger rope 150 in association with the position of the hanger rope 150 in the length direction, and measures the amount of magnetic flux passing through the inside of the hanger rope 150 . The second detector 10 is controlled by remote control from the terminal device 20, for example. The second detection unit 10 ascends, descends, and measures based on the operation. The second detection unit 10 may be provided integrally with the first detection unit 2 or may perform measurement in conjunction with the first detection unit 2 .

The terminal device 20 stores the signal data based on the magnetic flux acquired from the second detection section 10 via the acquisition section 30 in the storage section 60 . By operating the terminal device 20, the measurement of the second detector 10 is started. The measurement status may be displayed on the display unit 50 via wireless communication.

The measured signal data is output to the terminal device 20 . The signal data includes information associated with the position of the hanger rope 150, is acquired via the acquisition unit 30, and is stored in the storage unit 60. The second detection unit 10 may temporarily store the measurement data in a storage unit (not shown) provided in the second detection unit 10, and output the measurement data to the terminal device 20 after the measurement. Alternatively, measurement data may be output to the terminal device 20 after measurement by wireless communication.

The measurement data stored in the storage section 60 are read out by the calculation section 40 . The calculation unit 40 extracts an abnormal portion (second abnormal portion) occurring in the hanger rope 150 in association with the position (second position) based on the measurement data.

When the hanger rope 150 has an abnormality such as a cut portion, a corroded portion, or a missing portion, the signal strength based on the amount of magnetic flux changes (see FIGS. 11 and 13). The calculation unit 40 calculates, for example, the rate of change of the signal intensity with respect to the distance of the magnetic flux amount, and when the rate of change exceeding a predetermined threshold is detected, it is determined that the hanger rope 150 is abnormal at the detected position. judge.

The second detection unit 10 may be another sensor device that measures the amount of magnetic flux passing through the hanger rope 150 or detects damage to the hanger rope 150 by performing flaw detection using electromagnetic induction.

The second detection unit 10 for flaw detection, for example, applies a change in the electromagnetic field to the hanger rope 150 and measures a flaw detection signal based on the change in the magnetic field caused by the eddy current generated in the hanger rope 150. Detect flaws in coatings and plating layers.

As shown in FIG. 7 , the second detection unit 10 includes, for example, a detection loop coil 19 that applies an alternating magnetic field to the hanger rope 150 and a detection circuit 18 that performs signal processing of the loop coil 19 . The loop coil 19 is formed so as to wind around the hanger rope 150 . The detection circuit 18 applies alternating current to the loop coil 19 and detects changes in the current value of the loop coil 19 .

As shown in FIG. 8, the detection circuit 18 includes, for example, a transmitter 18A that changes the transmission frequency in accordance with the flaw detection performance and the loop coil 19, a bridge circuit 18B that detects impedance changes in the loop coil 19, It comprises an amplifier circuit 18C for amplifying a signal, a synchronous detection circuit 18D for identifying the phase of the signal, and a filter circuit 18E for cutting noise. The principle of flaw detection using eddy currents will be described below.

As shown in FIG. 9, the inspection using eddy currents uses the loop coil 19 to generate eddy currents in the hanger rope 150 and detect changes in the magnetic field generated by the eddy currents. An eddy current is generated in the hanger rope 150 by electromagnetic induction due to the alternating magnetic field generated from the loop coil 19 . At this time, the coil current changes to A1. If the surface of the hanger rope 150 has a flaw such as a crack, the eddy current flows around the crack. At this time, the coil current changes from A1 to A2.

The current flowing through the loop coil 19 slightly changes according to the change in the magnetic field generated by the eddy current. A minute change in the current value flowing through the loop coil 19 can be detected by forming a bridge circuit 18B in the loop coil 19. FIG. The bridge circuit 18B is a so-called Wheatstone bridge, and can calculate the current value in each bridge.

First, in the initial state, the loop coil 19 is wound around the hanger rope 150 to generate an eddy current on the undamaged surface of the hanger rope 150, and Z3 (impedance) is changed to change the bridge circuit 18B. Equilibrium is balanced and adjusted so that the current value flowing through the amplifier circuit 18C becomes zero (see FIG. 7).

Next, the loop coil 19 is moved along the length direction of the hanger rope 150 . When the loop coil 19 reaches the position where the hanger rope 150 is damaged, the balance of the bridge circuit 18B is lost and current flows through the circuit. The detection circuit 18 detects the current flowing from the bridge circuit to the amplifier circuit, processes the signal, and outputs the signal to the terminal device 20 .

With the above configuration, the second detection unit 10 for flaw detection runs along the length direction of the hanger rope 150 . Then, the second detection unit 10 measures the change in the flaw detection signal in association with the position of the hanger rope 150 in the length direction. The second detector 10 is controlled by remote control from the terminal device 20, for example. The second detection unit 10 ascends, descends, and measures based on the operation. The second detection unit 10 may be provided integrally with the first detection unit 2 or may perform measurement in conjunction with the first detection unit 2 .

The terminal device 20 stores the data of the flaw detection signal acquired from the second detection section 10 via the acquisition section 30 in the storage section 60 . By operating the terminal device 20, the measurement of the second detector 10 is started. The measurement status is displayed on the display unit 50 via wireless communication.

Data of the measured flaw detection signal is output to the terminal device 20 . The flaw detection signal data includes information associated with the position of the hanger rope 150 , is acquired via the acquisition unit 30 , and is stored in the storage unit 60 . The second detection unit 10 may temporarily store the data of the flaw detection signal in a storage unit (not shown) provided in the second detection unit 10 and output the measurement data to the terminal device 20 after the measurement. good.

The calculation unit 40 reads the image data stored in the storage unit 60 and extracts an abnormal portion (second abnormal portion) occurring in the hanger rope 150 in association with the position (second position).

If the hanger rope 150 has an abnormality such as a cut portion or a plated-out portion, the calculation unit 40 calculates the rate of change with respect to the distance of the flaw detection signal, and if the rate of change exceeds a predetermined threshold value, the rate of change is detected. It is determined that an abnormality has occurred in the hanger rope 150 at the position.

Next, the determination processing of the calculation unit 40 based on the detection results of the first detection unit 2 and the second detection unit 10 will be described. At least one measurement result of the second detection unit 10 that performs non-destructive inspection can be used. That is, the calculation unit 40 may use any of the measurement results of the second detection unit 10 that performs different nondestructive inspections, or may use flaw detection inspection using magnetic flux and eddy current to increase the accuracy of estimation. Both of the measurement results of the flaw detection inspection may be used. For comparison, the measurement results of the second detection unit 10 are shown below for both the flaw detection inspection using magnetic flux and the flaw detection inspection using eddy current.

Based on the position of the hanger rope 150, the imaging data by the first detection unit 2, the measurement data of the second detection unit 10 by flaw detection using eddy current, and the measurement data of the second detection unit 10 by flaw detection using magnetic flux. to compare.

As shown in FIGS. 10 and 11, when the hanger rope 150 near 38 [m] is compared, the imaging data obtained by the first detector 2 does not detect any corroded portion on the surface of the hanger rope 150 . On the other hand, an abnormal portion is detected in the measurement data of the second detection unit 10 by flaw detection using eddy current (see FIG. 11A). Furthermore, an abnormal portion is also detected in the measurement data of the second detection unit 10 by flaw detection using magnetic flux (see FIG. 11B).

In this way, at the same position of the hanger rope 150, no abnormal portion is detected in the imaging data of the first detection unit 2, and when an abnormal portion is detected in the measurement data of the second detection unit 10, the inside of the hanger rope 150 is presumed to have corroded, but no corrosion appeared on the surface.

Referring to the detection results within a predetermined distance (for example, 10 [m]) from the detected part of the abnormal part near 38 [m] of the hanger rope 150, the first detection is performed near 44 [m] of the upper hanger rope 150 The imaging data obtained by the unit 2 includes a corroded portion (abnormal portion) on the surface of the hanger rope 150 (see FIG. 10). In addition, an abnormal portion is detected in the measurement data of the second detection unit 10 by flaw detection using eddy current at the same position (see FIG. 11A). Furthermore, an abnormal portion is also detected in the measurement data of the second detection unit 10 obtained by flaw detection using magnetic flux at the same position (see FIG. 11B).

In this way, when an abnormal portion is detected in both the imaging data of the first detection unit 2 and the measurement data of the second detection unit 10 at the same position of the hanger rope 150, the inside of the hanger rope 150 is corroded. However, it is presumed that corrosion appears on the surface.

That is, the first position of the hanger rope 150 where the first abnormal portion detected by the first detection unit 2 occurred, and the second position of the hanger rope 150 where the second abnormal portion detected by the second detection unit 10 occurred. If the distance between the and the hanger rope 150 matches, it is estimated that the outside and inside of the hanger rope 150 are corroded.

As described above, when referring to the detection result within a predetermined distance (for example, 10 [m]) from the detection part of the abnormal part of the hanger rope 150, the first detection unit 2 A corroded portion on the surface of the hanger rope 150 is detected in the imaging data by . On the other hand, no abnormal portion is detected in the measurement data of the second detection unit 10 obtained by flaw detection using eddy current. Furthermore, no abnormal portion is detected in the measurement data of the second detection unit 10 by flaw detection using magnetic flux.

Based on these detection results, corrosion has not occurred on the surface of the hanger rope 150 at the second position near 38 [m], but corrosion has occurred inside, so the first position near 44 [m] above It is presumed that impurities including water entered from the corroded portion on the outside, and impurities including water accumulated inside at the lower second position, and the corrosion inside the hanger rope 150 progressed.

It is necessary to take repair measures according to the deterioration state of the hanger rope 150 from the estimation result. Therefore, for the corrosion of the surface of the hanger rope 150 near 44 [m], the surface of the hanger rope 150 is polished or repainted for external repair, and water stoppage measures are taken to remove impurities including water. Take measures to prevent intrusion. Then, in the vicinity of 38 [m], countermeasures are taken according to the state of internal corrosion.

Thus, according to the maintenance management method, the first position where the first abnormal portion detected by the first detection unit 2 occurred and the second position where the second abnormal portion detected by the second detection unit 10 occurred Based on the positional relationship with the position, the state inside the hanger rope 150 can be estimated.

Next, another example of the deteriorated state of the hanger rope 150 will be described.

As shown in FIGS. 12 and 13, when comparing the vicinity of 37 [m] of the other hanger rope 150, a corroded portion on the surface of the hanger rope 150 is detected in the imaging data by the first detection unit 2. . An abnormal portion is also detected in the measurement data of the second detection unit 10 using flaw detection using eddy current (see FIG. 13A). Furthermore, an abnormal portion is also detected in the measurement data of the second detection unit 10 using flaw detection using magnetic flux (see FIG. 13B).

In this way, when an abnormal portion is detected in the imaging data of the first detection unit 2 at the same position of the hanger rope 150 and an abnormal portion is also detected in the measurement data of the second detection unit 10, the inside of the hanger rope 150 is It is presumed that the surface corrodes as it corrodes.

When the imaged data near 37 [m] is verified, although the corrosion on the surface of the hanger rope 150 is slight, the abnormal part is detected by the second detection unit 10, so the internal corrosion progresses and the surface is corroded. It is presumed to be in a deteriorated state in which

Referring to the detection result within a predetermined distance from the detected part of the abnormal part near 37 [m], the imaging data by the first detection unit 2 includes the surface of the hanger rope 150 in the vicinity of 40 [m] above the detected part. Corroded parts are detected. On the other hand, no abnormal portion is detected in the measurement data of the second detection unit 10 using flaw detection using eddy current. Furthermore, no abnormal portion is detected in the measurement data of the second detection unit 10 using flaw detection using magnetic flux.

Then, impurities containing water intrude from the corroded portion of the surface near 40 [m] above the differentially corroded portion near 37 [m], and impurities containing water at the position of the corroded portion near 37 [m] below. It is presumed that corrosion inside the hanger rope 150 progressed due to accumulation of

Based on the estimated results, it is necessary to take repair measures according to the state of deterioration of the hanger rope 150 . Therefore, for the corrosion of the surface of the hanger rope 150 near 40 [m], the surface of the hanger rope 150 is polished or repainted for external repair, and water stoppage measures are taken to remove impurities including water. Take measures to prevent intrusion. Then, in the vicinity of 37 [m], countermeasures are taken according to the state of external and internal corrosion.

Although the countermeasures described above do not necessarily have to be taken in all parts, the countermeasures are selected based on the state of the abnormal portion and the state of the abnormal portion within a predetermined distance. In addition, these repair measures are not limited to the examples described above, and other repair methods may be applied. For example, for the corrosion pattern based on the positional relationship between the first abnormal portion and the second abnormal portion that is different from the corrosion pattern described above, the corrosion state and its cause are appropriately extracted, and countermeasures are taken according to the state of external and internal corrosion. should be done.

The deterioration diagnosis of the hanger rope 150 described above may be automatically processed in the arithmetic unit 40 of the terminal device 20 .

The calculation unit 40 refers to the imaging data of the first detection unit 2 stored in the storage unit 60, performs image analysis of the hanger rope 150, and based on the image of the hanger rope 150, detects the first image of the surface of the hanger rope 150. Extract the abnormal part. In addition, the calculation unit 40 analyzes the measurement data of the second detection unit 10 of the non-destructive inspection stored in the storage unit 60, and based on the measurement result of the second detection unit 10, the second abnormal part of the hanger rope 150 to extract

If corrosion is detected in the image on the surface of the hanger rope 150 based on the imaging data, and an abnormality is detected at the same position based on the detection result of the non-destructive inspection, corrosion inside the hanger rope 150 is also detected on the outside. It is presumed that Therefore, when the second abnormal portion occurs at the same position as the first abnormal portion, the calculation unit 40 determines that the hanger rope 150 is corroded outside and inside.

Furthermore, the calculation unit 40 extracts either or both of the first abnormal portion and the second abnormal portion within a predetermined distance from the position of the detected abnormal portion. For example, when the first abnormal portion is extracted at a position within a predetermined distance above the position of the detected abnormal portion, the calculation unit 40 determines that the corrosion that has occurred on the outside and inside of the hanger rope 150 is the hanger that has occurred above. It is determined that the corroded portion on the outside of the rope 150 is the cause.

As another example, if corrosion is detected in the image on the surface of the hanger rope 150 and no abnormality is detected in the same position by non-destructive inspection, corrosion occurs on the outside of the hanger rope 150 but the inside does not corrode. presumed not to. Therefore, the calculation unit 40 determines that corrosion has occurred outside the hanger rope 150 when the second abnormal portion does not occur at the first position where the first abnormal portion has occurred.

Furthermore, the calculation unit 40 extracts either or both of the first abnormal portion and the second abnormal portion within a predetermined distance from the position of the detected abnormal portion. For example, when the second abnormal portion is extracted at a lower position within a predetermined distance from the position of the detected abnormal portion, the calculation unit 40 determines that the corrosion occurring inside the hanger rope 150 is It is determined that it is caused by a corroded part on the outside of the

As another example, if no corrosion is detected in the image on the surface of the hanger rope 150 and an abnormality is detected at the same position by non-destructive inspection, corrosion occurs inside the hanger rope 150, but outside Presumably not corroded. Therefore, the calculation unit 40 determines that corrosion has occurred inside the hanger rope 150 when the first abnormal portion has not occurred at the second position where the second abnormal portion has occurred.

Furthermore, the calculation unit 40 extracts either or both of the first abnormal portion and the second abnormal portion within a predetermined distance from the position of the detected abnormal portion. When the first abnormal portion is extracted at a position within a predetermined distance above the position of the detected abnormal portion, the calculation unit 40 determines that the corrosion that has occurred inside the hanger rope 150 is the outside of the hanger rope 150 that has occurred above. It is determined that it is caused by the corroded part of the

The calculation unit 40 detects an abnormal portion on either or both of the surface and inside of the hanger rope 150 and detects an abnormality on either or both of the surface and inside of the hanger rope 150 within a predetermined distance. When the portion is detected, the deterioration state corresponding to the state of each abnormal portion occurring in the hanger rope 150 is determined.

As described above, the calculation unit 40 estimates the deterioration state of the hanger rope 150 based on the positional relationship between the first position where the first abnormal portion occurs and the second position where the second abnormal portion occurs. The calculation unit 40 selects a repair measure according to the deterioration state of the abnormal portion occurring within a predetermined distance of the hanger rope 150 and displays it on the display unit 50 .

FIG. 14 is a flow chart showing the flow of processing executed in the calculation unit 40. As shown in FIG. The calculation unit 40 extracts an abnormal portion based on the detection results of the first detection unit 2 and the second detection unit 10 (step S100). If the hanger rope 150 does not have an abnormal portion (step S102: No), the calculation unit 40 returns the process to step S100. When the hanger rope 150 has an abnormal portion (step S102: Yes), the calculation unit 40 extracts an abnormal portion within a predetermined distance (step S104).

If there is an abnormal portion within the predetermined distance (step S106: Yes), the computing unit 40 estimates the deterioration state based on the positional relationship between the upper and lower abnormal portions (step S108). The calculation unit 40 selects a repair measure according to the state of deterioration (step S110).

If there is no abnormal portion within the predetermined distance in step S106 (step S106: No), the calculation unit 40 estimates the deterioration state of the abnormal portion occurring in the hanger rope 150 (step S112). The calculation unit 40 selects a repair measure according to the state of deterioration (step S114). The order of the steps (processes) described above is not limited to this, and may be changed.

As described above, according to the maintenance management method for the rope-like structure, the criteria for repairing the hanger rope 150 can be indicated. Further, according to the maintenance method, not only the position where the abnormal part of the hanger rope 150 is detected in the first detection part 2 and the second detection part 10, but also the first detection part near the position where the abnormal part is detected 2 and the second detection unit 10, the corrosion state and corrosion cause of the hanger rope 150, which could not be estimated only by the detection results of the first detection unit 2 or the second detection unit 10, can be estimated. can. Then, according to the maintenance management method, repair measures can be taken according to the estimated corrosion state.

Although the embodiments of the present invention have been described above in detail with reference to the drawings, the specific configuration is not limited to these embodiments, and modifications can be made as appropriate without departing from the scope of the present invention. can. For example, in the above-described embodiment, flaw detection using eddy current and flaw detection using magnetic flux are exemplified for the non-destructive inspection of the second detection unit, but not limited to this, a test method using vibration, sound, and ultrasonic waves , an AE (Acoustic Emission) method for measuring distortion and the like may be used. As for the maintenance and management method, the diagnosis of the hanger rope 150 of the suspension bridge B was exemplified, but the maintenance and management of other rope structures used for cable-stayed bridge cables, arch bridge suspension materials, cable cars, cranes, elevators, etc. may be applied to

DESCRIPTION OF SYMBOLS 1... Maintenance management apparatus, 2... 1st detection part, 3... Running body, 4... Grip part, 4R... Roller, 5... Imaging part, 10... 2nd detection part, 11... Case, 12... Magnetizer, 13N , 13S... permanent magnet, 14... sensor, 18... detection circuit, 18A... transmitter, 18B... bridge circuit, 18C... amplifier circuit, 18D... synchronous detection circuit, 18E... filter circuit, 19... loop coil, 20... terminal device , 30... Acquisition unit, 40... Calculation unit, 50... Display unit, 60... Storage unit, 100... Main tower, 120... Main cable, 130... Anchorage, 140... Foundation, 150... Hanger rope, 160... Bridge girder, B ... suspension bridge, C... camera, L... light source, W... winch wire

Claims (5)

A method for maintaining and managing a vertically extending rope-like structure, comprising:
a step of taking an image of the rope-like structure in the circumferential direction in association with the position of the rope-like structure in the length direction;
a step of detecting a first abnormal portion generated on the surface of the rope-like structure based on the imaged image;
a step of acquiring a measurement value of the rope-like structure based on a non-destructive inspection in association with a position in the length direction of the rope-like structure;
a step of detecting a second abnormal portion occurring in the rope-like structure based on the measured value of the non-destructive inspection;
estimating the deterioration state of the rope-like structure based on the positional relationship between the first position where the first abnormal portion occurs and the second position where the second abnormal portion occurs ;
the first position and the second position are in a vertical positional relationship, the vertical positional relationship between the first position and the second position is detected from the distance between the first position and the second position, and the vertical positional relationship between the first position and the second position is detected; If the first position is above the second position, it is presumed that the inside of the rope-like structure is corroded at the second position due to impurities including water that have entered from the first position. A method for maintaining and managing a rope-like structure, wherein the rope-like structure is estimated to be corroded on the outside and the inside when the height of the second position matches with the height of the rope-like structure. When the first position exists above the second position within a predetermined distance, the step of repairing the surface of the rope-like structure at the first position and repairing water stoppage measures is further provided.
The maintenance management method of the rope-like structure according to claim 1 . Further comprising a step of performing repair measures according to the state of deterioration of the rope-like structure based on the positional relationship between the first position and the second position,
3. The method for maintaining and managing a rope-like structure according to claim 1 or 2 . 4. Any one of claims 1 to 3 , wherein the step of detecting the first abnormal portion further comprises the step of extracting an image containing the first abnormal portion from among the plurality of images by machine learning using deep learning. 2. A method for maintaining and managing the rope-like structure according to item 1. A maintenance device for a vertically extending rope-like structure,
a first detection unit that captures an image of the rope-like structure in the circumferential direction in association with the position of the rope-like structure in the length direction;
a second detection unit that acquires a measurement value of the rope-like structure based on a non-destructive inspection in association with a position in the length direction of the rope-like structure;
A first abnormal portion occurring on the surface of the rope-like structure is detected based on the captured image, and a second abnormal portion occurring in the rope-like structure is detected based on the measured value of the non-destructive inspection. a computing unit that detects and estimates the state of deterioration of the rope-like structure based on the positional relationship between the first position where the first abnormal portion occurs and the second position where the second abnormal portion occurs. ,
The first position and the second position have a vertical positional relationship,
detecting a vertical positional relationship between the first position and the second position from a distance between the first position and the second position in the first detection section and the second detection section;
In the computing section, when the first position is above the second position, the inside of the rope-like structure is corroded at the second position by impurities including water entering from the first position. and presuming that the exterior and interior of the reed structure are corroded when the heights of the first position and the second position match.

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