JP2021067559A - Soundness evaluation device, soundness evaluation system, and method for evaluating soundness - Google Patents

Abstract

To provide a soundness evaluation device that can predict a future temporal change in a soundness evaluation index that indicates a behavior of a structure caused by a load on the structure.SOLUTION: The present invention includes: an index acquisition unit 4 for acquiring a soundness evaluation index that indicates a behavior of a structure 2 as a target of an evaluation caused by a load on the structure 2; a database forming unit 7 for forming a temporal change database 11 including a temporal change in the soundness evaluation index of the structure 2 after the soundness evaluation index is acquired; and a prediction unit 9 for predicting a temporal change in the soundness evaluation index after the index acquisition unit 4 acquires the soundness evaluation index on the basis of the soundness evaluation index acquired by the index acquisition unit 4 and the temporal change database 11.SELECTED DRAWING: Figure 1

Description

The present invention relates to a soundness evaluation device, a soundness evaluation system, and a soundness evaluation method.

Structures such as construction machinery and wind power generators are exposed to a fatigue environment due to repeated stress loads during use time. As a result, the structure is often eventually destroyed by fatigue. Since the repeated stress applied differs depending on the usage status of the structure, the fatigue life of the structure differs for each structure. In recent years, there have been an increasing number of cases where these structures are exposed to an unexpected environment and cases where they are used beyond the useful life assumed at the time of design. Therefore, it is preferable to be able to predict how long it can be used until the fatigue life.

An index called the degree of fatigue damage is known in relation to fatigue life. Fatigue damage is the rate at which the fatigue life inherent in a structure and material is consumed, and is a physical quantity determined by the history of loads acting on the structure and material. As a technique relating to the degree of fatigue damage, the technique described in Patent Document 1 is known.

Patent Document 1 is a cumulative damage evaluation system for a hydraulic machine, wherein the hydraulic machine includes a plurality of pistons and at least one cylinder block, and the cylinder block includes a plurality of pistons together with the plurality of pistons. The system includes a plurality of cylinders forming a hydraulic chamber to guide the reciprocating motion of the plurality of pistons, and a plurality of high pressure valves and a plurality of low pressure valves for switching the pressures of the plurality of hydraulic chambers, respectively. The entire evaluation period is based on the operation rate information acquisition unit configured to acquire the operation rate information indicating the operation rate of each of the hydraulic chambers in the evaluation period and the operation rate information acquired by the operation rate information acquisition unit. Described is a cumulative damage evaluation system for a hydraulic machine, which includes a total cumulative damage evaluation unit configured to evaluate the total cumulative damage of each evaluation point of the cylinder block in the above.

JP-A-2015-229939 (see claim 1 in particular)

In the technique described in Patent Document 1, the cumulative damage degree is calculated based on the load measured by the measuring device (paragraphs 0068 and 0069). Then, when the total cumulative damage degree exceeds the threshold value, stress concentration on the evaluation point is avoided (paragraph 0061). Therefore, in the technique described in Patent Document 1, damage to the current cylinder block is only evaluated based on the changes currently occurring. Therefore, the technique described in Patent Document 1 cannot predict how the behavior of the structure caused by the load will change in the future.

The present invention provides a soundness evaluation device, a soundness evaluation system, and a soundness evaluation method that can predict future changes in the soundness evaluation index representing the behavior of a structure due to a load on the structure. Make it an issue.

The soundness evaluation device according to the present invention includes an index acquisition unit that acquires a soundness evaluation index indicating the behavior of the structure due to a load on the structure as a soundness evaluation target, and a soundness evaluation index for the structure. A database construction unit that constructs a time-dependent change database that includes changes over time after the acquisition time of the soundness evaluation index, a soundness evaluation index acquired by the index acquisition unit, and the time-dependent change database. Based on the above, the index acquisition unit includes a prediction unit that predicts a change over time of the soundness evaluation index after the acquisition time of the soundness evaluation index. Other solutions will be described later in the form for carrying out the invention.

INDUSTRIAL APPLICABILITY According to the present invention, it is possible to provide a soundness evaluation device, a soundness evaluation system, and a soundness evaluation method that can predict future changes in the soundness evaluation index representing the behavior of a structure due to a load on the structure. ..

It is a block diagram of the soundness evaluation system including the soundness evaluation apparatus of 1st Embodiment. It is a figure explaining the acquisition method of the crack length by the digital image correlation method. It is a digital image obtained by an imaging device. It is a strain distribution image obtained by applying the digital image correlation method to the digital image of FIG. 2B. It is a figure explaining the acquisition method of the deformation amount of a structure by a two-dimensional mapping method. It is a digital image obtained by an imaging device. It is a deformation behavior two-dimensional mapping image obtained by applying the two-dimensional mapping method to the digital image of FIG. 3B. It is a figure explaining the acquisition method of the strain change amount using the strain measuring apparatus. It is a figure explaining the calculation method of the strain normalized based on an external force and a strain. It is a figure explaining the normalization method. For comparison with the graph after normalization, it is a graph which shows the relationship between the time before normalization for every structure 2 and a soundness evaluation index value. It is a figure which shows the time-dependent change database constructed in 1st Embodiment. It is a figure explaining the prediction method of the time-dependent change after the acquisition time of the soundness evaluation index value. It is a flowchart which shows the soundness evaluation method of 1st Embodiment. It is a block diagram of the soundness evaluation system including the soundness evaluation apparatus of 2nd Embodiment. It is a figure which shows the time-dependent change database constructed in 2nd Embodiment. It is a block diagram of the soundness evaluation system including the soundness evaluation apparatus of 3rd Embodiment. It is a figure which shows the time-dependent change database constructed in 3rd Embodiment. It is a block diagram of the soundness evaluation system including the soundness evaluation apparatus of 4th Embodiment. It is a block diagram of the soundness evaluation system including the soundness evaluation apparatus of 5th Embodiment.

Hereinafter, embodiments for carrying out the present invention (the present embodiment) will be described. However, the present invention is not limited to the following contents and the illustrated contents, and can be arbitrarily modified and implemented as long as the effects of the present invention are not significantly impaired. The present invention can be implemented by combining different embodiments. In the following description, the same members will be designated by the same reference numerals in different embodiments, and redundant description will be omitted.

FIG. 1 is a block diagram of a soundness evaluation system 1 including a soundness evaluation device 3 of the first embodiment. The soundness evaluation system 1 evaluates the soundness of the structure 2 as a soundness evaluation target. In the illustrated example, the structure 2 includes three structures 2A, 2B, and 2C, and the structure 2 to be evaluated for soundness is the structure 2A. The structure 2 is, for example, at least one of a construction machine, a wind power generation facility, a railroad vehicle, and the like. All the structures 2 may be installed and used in the same place (same area), and at least one structure 2 may be installed and used in a remote place.

The soundness evaluation system 1 evaluates the soundness of the structure 2 based on the soundness evaluation index showing the behavior of the structure 2 due to the load on the structure 2. The load referred to here is, for example, the stress generated in the structure 2 due to the deformation of the structure 2. The soundness evaluation is performed by predicting how the soundness evaluation index will change over time due to the load on the structure 2. The soundness evaluation index is an index capable of evaluating the soundness of the structure 2, and is, for example, a crack generated in the structure 2, deformation of the structure 2, and distortion of a bolt (not shown) used in the structure 2. , At least one such as a gap between adjacent structures 2.

The soundness evaluation system 1 includes a structure 2A as a soundness evaluation target and a soundness evaluation device 3 for evaluating the soundness of the structure 2A. The soundness evaluation device 3 includes an index acquisition unit 4, an operating state acquisition unit 5, a normalization execution unit 6, a database construction unit 7, an inverse normalization execution unit 8, a prediction unit 9, and an output unit 10. To be equipped. The soundness evaluation device 3 does not need to be integrally configured as shown in the figure, and a part of the soundness evaluation device 3 may be arranged in a place different from the others. For example, the time-varying database 11 (shown as “time-changing DB” in the figure) may be installed on a server (not shown) located at a remote location.

The index acquisition unit 4 acquires a soundness evaluation index. The acquired soundness evaluation index is recorded in a recording unit (not shown). The acquisition can be performed using, for example, an arbitrary acquisition device (not shown) installed in the structure 2 according to the specific content of the soundness evaluation index value. For example, when the soundness evaluation index value (described later) is, for example, the crack length, the details will be described later with reference to FIGS. 2A to 2C. The length (crack length) can be obtained. In addition, acquisition is performed periodically, for example, every predetermined time or number of days.

The soundness evaluation index includes a soundness evaluation index value composed of visualization data in which the soundness evaluation index is data-processably visualized. The visualization data is, for example, quantified data in which the soundness evaluation index can be objectively evaluated (for example, the magnitude of the numerical value). The soundness evaluation index value is a numerical value of the above-mentioned soundness evaluation index. For example, the length of a crack generated in the structure, the amount of deformation of the structure 2, the axial force of the bolt used for the structure 2, and the like. Includes at least one such as the length of the gap between adjacent structures 2. By including the soundness evaluation index value, the quantified soundness evaluation can be processed as data.

Above all, it is preferable that the visualization data includes two-dimensional visualization data which is a soundness evaluation index value (for example, length, size, etc.) in a plane. By including the two-dimensional visualization data, it is not necessary to consider the soundness evaluation index value in three dimensions (for example, the length in the depth direction), so that the types of the soundness evaluation index value can be reduced.

A specific method for acquiring the soundness evaluation index value will be described with reference to FIGS. 2A to 4B.

FIG. 2A is a diagram illustrating a method of acquiring a crack length L (see FIG. 2) by a digital image correlation method. In the illustrated example, the soundness evaluation index is the crack 26, and the imaging device 23 images the region 24. The image pickup device 23 is, for example, a camera. When a stress F is applied to the structure 2A as shown in the drawing, the crack 26 progresses and the crack length L becomes long. Therefore, in the illustrated example, the crack 26 length L is used as the soundness evaluation index value.

FIG. 2B is a digital image 25 obtained by the image pickup apparatus 23. The soundness evaluation index value includes the crack length L calculated by the digital image correlation method based on the digital image 25 of the structure 2A. Since the soundness evaluation index value includes the crack length, the time course of the crack length L can be predicted.

FIG. 2C is a strain distribution image 28 obtained by applying the digital image correlation method (DIC method) to the digital image 25 of FIG. 2B. The strain distribution at the tip 26A of the crack 26 shows a characteristic distribution. Therefore, by specifying the positions of both tips 26A and 26A, the crack 26 length L formed between the tips 26A and 26A can be measured.

FIG. 3A is a diagram illustrating a method of acquiring the deformation amount ΔL (see FIG. 3C) of the structure 2 by the two-dimensional mapping method. In the illustrated example, the deformation amount ΔL calculated by the two-dimensional mapping method based on the digital image of the structure 2 obtained by the imaging device 23 is included. When the soundness evaluation index value includes the deformation amount ΔL of the structure 2, the time-dependent change of the deformation amount can be predicted.

In the illustrated example, the member 2b constituting the structure 2 is fixed to the member 2a constituting the structure 2. In this case, when stress F is applied to the member 2b in a direction parallel to the surface of the member 2a, the member 2b is deformed. The amount of deformation ΔL in this direction changes depending on the magnitude of the stress F and the damage 32 (for example, a crack, but not limited to this) existing on the side surface of the member 2b opposite to the direction of the stress F. Therefore, the image pickup device 23 acquires the deformation amount ΔL of the structure 2.

In order to acquire the deformation amount ΔL, a plurality of marker points 31 are attached to the side surface of the structure 2 so that the deformation amount ΔL of the structure 2 can be acquired by the two-dimensional mapping method. The image pickup apparatus 23 images the region 24 in the same manner as in the example shown in FIG. 2A above. The region 24 includes a plurality of marker points 31 so that the deformation amount ΔL of the structure 2 can be obtained.

FIG. 3B is a digital image 25 obtained by the image pickup apparatus 23. If the stress F does not exist and the structure 2 is not deformed, the structure 2 exists at the position indicated by the dotted line in FIG. 3B. However, the structure 2 is deformed by the presence of the stress F, and the structure 2 exists at the position shown by the solid line in FIG. 3B.

FIG. 3C is a deformation behavior two-dimensional mapping image 33 obtained by applying the two-dimensional mapping method to the digital image 25 of FIG. 3B. When the structure 2 is not deformed, the line connecting the marker points 31 is a straight line as shown by the dotted line. However, when the structure 2 is deformed, the line connecting the marker points 31 becomes a curved line as shown by a solid line. The deformation amount ΔL is the distance between the highest marker point 31 having the largest displacement due to the deformation of the structure 2 and the highest marker point 31 when the structure 2 is not deformed.

In the illustrated example, in order to clarify the influence of the damage 32 (see FIG. 3A) on the deformation amount ΔL, the deformation amount ΔL in FIG. 3C is the deformation amount under a unit stress load based on the deformation amount ΔL and the stress F. It is normalized. Then, the normalized deformation amount ΔL is acquired as a soundness evaluation index value. The stress F used for normalization can be calculated based on the operating state (described later) of the structure 2.

Figure 4A is a diagram for explaining a method of obtaining the strain variation using strain measurement device 38 Delta] E N _(see FIG. 4B). When the stress F is applied as in FIG. 3A, the strain around the damage 32 changes according to the state of the damage 32. Therefore, the strain measuring device 38 is installed in the vicinity of the damage 32. The strain measuring device 38 is, for example, a strain sensor. When the damage 32 is, for example, a crack, if the crack progresses at once, the magnitude of the strain in the vicinity of the damage 32 sharply decreases. That is, in this case, strain variation Delta] E _N increases.

Figure 4B is a diagram for explaining the calculation method of the stress F and the strain normalized strain variation Delta] E _N based on the E. The value of the strain measuring device 38 changes depending on the state of the stress F and the damage 32. Therefore, in order to clarify the variation Delta] E _N distortion due to damage 32, change with time of the stress F and (upper), based on a temporal change in strain E is measured by the strain measuring device 38 (middle), unit stress load strain normalization to E _N when is performed. Normalization aging of normalized strain E _N (lower) is obtained. In time course of the normalized strain E _N (lower), on the basis of the maximum strain E _N and a minimum of strain E _N, strain variation Delta] E _N is calculated.

Thus, in the illustrated example, health evaluation index value, rather than the value of the strain itself in injury 32 near caused the structure 2, including a strain variation Delta] E _N. Strain variation Delta] E _N can be measured by the strain measuring device 38 as described above. By health evaluation index value comprises a strain variation Delta] E _N, we can predict the time course of the strain variation Delta] E _N.

The specific content of the soundness evaluation index value is not limited to the above example. The soundness evaluation index value may be, for example, a crack depth using an ultrasonic inspection device or the like.

Returning to FIG. 1, the acquisition of the soundness evaluation index is performed from, for example, the structure 2A which is the soundness evaluation target. By acquiring from the structure 2A that is the target of soundness evaluation, the soundness evaluation index of the structure 2 generated due to the load on the structure 2A is based on the change of the soundness evaluation index of the structure 2A. Future changes over time can be predicted.

Further, the soundness evaluation index includes the soundness evaluation index of the structures 2B and 2C which are the same type as the structure 2A and different from the structure 2A which is the soundness evaluation target. By including the soundness evaluation indexes of the other structures 2B and 2C, it is possible to predict the time course of the soundness evaluation index of the structure 2A even if the structure 2A is unused or a short time after the start of use. Acquisition of the soundness evaluation index from the structures 2B and 2C is performed by wire or wireless communication via the network 21.

The operating state acquisition unit 5 acquires the operating state of the structure 2 that causes a load on the structure 2. The acquired operating state is recorded in a recording unit (not shown). The operating state acquisition unit 5 can acquire the operating state of the structure 2 that affects the change with time of the soundness evaluation index of the structure 2. The acquisition of the operating state is performed for the operating state after the start of operation (start of operation) of the structure 2 to be evaluated for soundness.

The operating state is preferably information that correlates with, for example, a change in the soundness evaluation index of the structure 2. Specifically, when the structure 2 is, for example, a construction machine, the operating state is, for example, at least one such as the pressure of a cylinder (not shown) for driving the construction machine, the acceleration of the position of the center of gravity of the construction machine, and the like. including. Further, when the structure 2 is, for example, a wind power generation facility, the operating state includes at least one such as wind condition data such as wind speed and wind direction, and rotation speed of blades (not shown). Further, if the structure 2 is, for example, a railway vehicle, it includes at least one such as a traveling speed of the railway vehicle, an acceleration loaded on the railway bogie, and the like.

The operating state includes, for example, the operating state of the structure 2A itself to be evaluated for soundness. By acquiring the operating state of the structure 2A itself, which is the soundness evaluation target, it is possible to acquire the operating state that reflects the operating state of the structure 2A at the operating location. As a result, it is possible to improve the prediction accuracy of the change with time of the soundness evaluation index for the structure 2A.

Further, the operating state includes the operating states of the structures 2B and 2C which are the same type as the structure 2A and different from the structure 2A which is the soundness evaluation target. By including the operating state of another structure 2B, 2C, even if the structure 2A is unused or a short time from the start of use, the soundness of the structure 2A is based on the operating state of the structure 2B, 2C. It is possible to predict changes in the evaluation index over time. The acquisition of the operating state from the structures 2B and 2C is performed by wire or wireless communication via the network 21.

The normalization execution unit 6 normalizes the acquired operating states of the other structures 2B and 2C so as to be aligned with the operating states of the structure 2A to be evaluated for soundness. In the first embodiment, time normalization is performed as an example. The normalization execution unit 6 can compare the soundness evaluation index values on the same time axis (time axis of the structure 2A) even if the structures are used in different operating states. A specific method of normalization will be described with reference to FIG.

FIG. 5 is a diagram illustrating a normalization method. FIG. 5 shows the results of a fatigue test in which a constant stress is repeatedly applied to the structure 2A until fatigue fracture occurs. In FIG. 5, a graph showing the stress amplitude with the vertical axis as the logarithmic axis and the number of repeated fractures until fatigue failure with the horizontal axis as the logarithmic axis is shown.

The relationship between the stress amplitude and the number of fracture repetitions can be expressed by the linear approximation formula L1 on both logarithmic axes. Assuming that the stress amplitude is σ _a (MPa) and the number of repeated fractures is N _f (times), the following equation (1) is established.
σ _a = C × N _f ^{(-1 / m)}・ ・ ・ Equation (1)
C is the material constant of the structure 2, and m is the slope of the fatigue curve.

In the formula (1), the magnitude of the load on the structure 2 and the speed at which the damage of the structure 2 progresses can be arranged by the slope m. Therefore, the following equation (2) is established for the operating state that causes a load on each structure 2 and the time-series change of the soundness evaluation index of the structure 2 that receives a different load individually.
t _n = t × P ^−m = t × f (P) ・ ・ ・ Equation (2)
t _n is the normalization time, t is the time, P is the operating state, and f (P) is a function having the operating state P as a variable.

Time can be normalized by the equation (2). That is, the change with time of the soundness evaluation index value can be normalized by the equation (2). The operating state is time-series data from the operation of the target structure 2 to the acquisition of the soundness evaluation index value. However, in order to simplify the calculation, it is preferable to use a value obtained by arranging the time series data as statistical values such as the maximum value, the minimum value, and the effective value.

FIG. 6 is a graph showing the relationship between the time before normalization and the soundness evaluation index value for each structure 2 for comparison with the graph after normalization. In the illustrated example, the soundness evaluation index value obtained from the structure 2A is a black triangle, and the soundness evaluation index value obtained from the structure 2B is a white circle, which is obtained from the structure 2C. The soundness evaluation index values are indicated by black squares.

The operating state of the structure 2 differs depending on the environment in which it is used, the conditions, and the like. For example, since the structure 2A is used frequently, the soundness evaluation index value increases in a short time. On the other hand, for example, in the structure 2C, since the frequency of use is low, the increase in the soundness index value is gradual. Therefore, as shown in FIG. 6, even if the horizontal axis is simply plotted on the same graph with time as time, no correlation is found between the structures 2. For this reason, only graphs that cannot be handled are obtained. Therefore, as explained with reference to FIG. 5, by normalizing the time for each structure 2 based on the operating state, the soundness evaluation index value can be set on the same time axis (time axis of the structure 2A). Can be handled.

Returning to FIG. 1, the database construction unit 7 is a time-dependent database 11 (FIG. 7), which is a time-dependent change of the soundness evaluation index in the structure 2 and includes a time-dependent change after the time t0 (see FIG. 7) of the soundness evaluation index. 7) is constructed. The time-dependent database 11 will be described with reference to FIG.

FIG. 7 is a diagram showing a time-dependent database 11 constructed in the first embodiment. In the figure shown in FIG. 7, the horizontal axis is the normalization time (which can be calculated by the above equation (2)) aligned with the time of the structure 2A, and the vertical axis is the soundness evaluation index value corresponding to the time before normalization. It is a figure plotted as. The meaning of the plot symbols is synonymous with the plot shown in FIG.

The recorded soundness evaluation index value is acquired from the start of operation of the structure 2 to the time t0 (acquisition time) when the soundness evaluation index value is acquired. Therefore, when plotting the data from the start of operation (time 0) to time t0, the plot exists on the left side of time t0 as shown in FIG. Therefore, the database construction unit 7 is based on the time-dependent change of the soundness evaluation index value existing before the time t0 acquired by the index acquisition unit 4, and includes the time-dependent change of the soundness evaluation index value after the time t0. The change database 11 is constructed. By constructing the time-dependent change database 11, it is possible to predict the time-dependent change of the soundness evaluation index value after the time t0 when the soundness evaluation index value is acquired.

The database construction unit 7 predicts the change with time of the soundness evaluation index value after the time t0 by, for example, a finite element analysis or a statistical method of the soundness evaluation index value existing before the time t0. As a result, the time-dependent change database 11 can be constructed. By constructing the time-dependent change database 11 by a finite element analysis or a statistical method, the accuracy of the time-dependent change of the soundness evaluation index value after time t0 can be improved.

The database construction unit 7 constructs a time-dependent database 11 for each structure 2. For example, the database construction unit 7 calculates an approximate curve L2A1 for the structure 2A (black triangle) based on the time-dependent change of the soundness evaluation index value before the time t0. Next, the database construction unit 7 predicts the approximate curve L2A2, which is the change over time of the soundness evaluation index value after time t0, by, for example, a finite element analysis or a statistical method of the approximate curve L2A1. As a result, an approximate curve L2A showing a change over time in the soundness evaluation index value for the structure 2A can be obtained.

Similarly, the database construction unit 7 calculates the approximate curve L2B1 for the structure 2B (white circle) based on the change with time of the soundness evaluation index value before the time t0. Next, the database construction unit 7 predicts the approximate curve L2B2, which is the change over time of the soundness evaluation index value after the time t0, by, for example, a finite element analysis or a statistical method of the approximate curve L2B1. As a result, an approximate curve L2B showing a change over time in the soundness evaluation index value for the structure 2B can be obtained.

Further, the database construction unit 7 calculates an approximate curve L2C1 for the structure 2C (black-painted square) based on the time-dependent change of the soundness evaluation index value before the time t0. Next, the database construction unit 7 predicts the approximate curve L2C2, which is the change over time of the soundness evaluation index value after time t0, by, for example, a finite element analysis or a statistical method of the approximate curve L2C1. As a result, an approximate curve L2C showing a change over time in the soundness evaluation index value for the structure 2C can be obtained.

The approximate curve L2A of the structure 2A, the approximate curve L2B of the structure 2B, and the approximate curve L2C of the structure 2C are usually slightly different from each other. This is because the time-varying database 11 has a width due to the variation in fatigue life between the structures 2 and the calculation error caused by the finite element analysis or the statistical method. Therefore, in the subsequent processing, the region D (the region D shown by diagonal lines in FIG. 7) surrounded by the approximate curve L2A and the approximate curve L2C, which is the widest region, is used as the time-dependent database 11.

Returning to FIG. 1, the denormalization execution unit 8 reverse-normalizes the time-varying database 11 (region D surrounded by two approximate curves) constructed by the database construction unit 7. The denormalization execution unit 8 can apply the aging database 11 to the soundness evaluation index value for each non-normalized structure 2. Inverse normalization can be performed, for example, based on the following equation (3) relating to the inverse function of the above equation (2) used for normalization.
t = t _n × f ^-1 (P) ・ ・ ・ Equation (3)
f ^-1 (P) is the inverse function of the function f (P).

The prediction unit 9 changes over time of the soundness evaluation index after the time t0 when the index acquisition unit 4 acquires the soundness evaluation index based on the soundness evaluation index acquired by the index acquisition unit 4 and the time-dependent change database 11. Is to predict. The prediction method will be described with reference to FIG.

FIG. 8 is a diagram illustrating a method of predicting a change over time after the time t0 of the soundness evaluation index value. The region D shown in FIG. 8 is obtained by performing time denormalization of the structure 2A to be evaluated for soundness by the denormalization execution unit 8. Then, the soundness evaluation index value P1 at time t1 of the structure 2A to be soundness evaluation is plotted. The time t1 is, for example, a time at which it is desired to predict the remaining time until the soundness evaluation index value (for example, the crack length) reaches the limit value of an acceptable value. In the illustrated example, the time t1 is the time after the time t0 when the soundness evaluation index is acquired.

At the same time, the time to reach the threshold value P2 of the soundness evaluation index value can be determined to be the time t2 closest to the time t1 among the intersections with the region D. The threshold value P2 referred to here is a limit value of an acceptable value for the soundness evaluation index value. When the soundness evaluation index value is, for example, the crack length, the crack shifts from a region where the crack grows steadily to a region where the crack grows rapidly. Therefore, the threshold value P2 can be set to, for example, a value immediately before the transition to the rapidly progressing region. The time T from which the soundness evaluation index value reaches the limit value of the acceptable value is the time from time t1 to time t2.

In this way, if the time T until the threshold value P2, which is the limit value of the allowable value of the soundness evaluation index value, can be predicted, the process at the site of use of the structure 2 to be soundness evaluation is taken into consideration. Effective repair work can be performed at an effective time in combination with other repair work. Therefore, for example, it is not necessary to suddenly stop the operation of the structure 2 and carry out the repair work when the structure 2 is confirmed to be damaged.

Returning to FIG. 1, the output unit 10 outputs the prediction result by the prediction unit 9 to the output device 22. By providing the output unit 10, the user or an external device can perform work based on the prediction result. The output device 22 may be, for example, an external device (not shown) connected to a monitor or a soundness evaluation device 3. For example, since the output device 22 is a monitor, the operator can grasp the prediction result. Further, since the output device 22 is an external device, the external device can perform an operation based on the prediction result. In this case, the output unit 10 outputs the drive control signal of the output device 22 to the output device 22. The external device may be, for example, a structure 2.

The prediction result output to the output device 22 may be any result predicted by the prediction unit 9, and may be the time T itself described with reference to FIG. 8, as shown in FIG. The figure shown may be displayed. For example, when the time T is output to the external device as the prediction result, the external device can perform an arbitrary operation when the time T after the output by the output unit 10 elapses. For any operation, for example, a monitor (not shown) provided in the external device is displayed to urge the operation of the structure 2 to be stopped, and a control unit (not shown) provided in the external device forcibly operates the structure 2. It is an operation such as stopping at.

The soundness evaluation device 3 is not shown, but for example, a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), an HDD (Hard Disk Drive), an I / F (interface), etc. Is configured with. Then, the soundness evaluation device 3 is embodied by executing a predetermined control program stored in the ROM by the CPU. Further, the soundness evaluation device 3, the structure 2, and the output device 22 are electrically connected by a wired cable or wirelessly.

FIG. 9 is a flowchart showing the soundness evaluation method of the first embodiment. The soundness evaluation method shown in FIG. 9 can be executed by the soundness evaluation device 3 described above. Therefore, the following description will be given with reference to FIG. 1 as appropriate.

The soundness evaluation method of the first embodiment includes index acquisition step S1, operating state acquisition step S2, normalization execution step S3, database construction step S4, denormalization execution step S5, and prediction step S6. The output step S7 is included.

The index acquisition step S1 is a step of acquiring the above-mentioned soundness evaluation index representing the behavior of the structure 2A due to the load on the structure 2A as the soundness evaluation target. The index acquisition step S1 is executed by the index acquisition unit 4. The operating state acquisition step S2 is a step of acquiring the operating state of the structure 2A that causes a load on the structure 2A. At this time, the operating states of the other structures 2B and 2C are also acquired. The operating state acquisition step S2 is executed by the operating state acquisition unit 5. The normalization execution step S3 is a step of normalizing the acquired operating states of the other structures 2B and 2C so as to be aligned with the operating states of the structure 2A to be evaluated for soundness. In the first embodiment, time normalization is performed as an example. The normalization execution step S3 is executed by the normalization execution unit 6.

The database construction step S4 is a step of constructing the time-dependent change database 11 which is the time-dependent change of the soundness evaluation index in the structure 2A and includes the time-dependent change after the time t0 (see FIG. 7) of the soundness evaluation index. The database construction step S4 is executed by the database construction unit 7. The denormalization execution step S5 is a step of denormalizing the aging database 11 constructed in the database construction step S4. The denormalization execution step S5 is executed by the denormalization execution unit 8.

The prediction step S6 is a soundness evaluation index after the time t0 (see FIG. 7) of the soundness evaluation index in the index acquisition step S1 based on the soundness evaluation index acquired in the index acquisition step S1 and the time-dependent change database 11. It is a step to predict the change with time. The prediction step S6 is executed by the prediction unit 9. The output step S7 is a step of outputting the prediction result in the prediction step S6 to the output device 22. The output step S7 is executed by the output unit 10.

According to the soundness evaluation system 1, the soundness evaluation device 3, and the soundness evaluation method, it is possible to predict future changes in the soundness evaluation index representing the behavior of the structure 2 due to the load on the structure 2. By predicting future changes in the health index over time, it is possible to determine the need for repair to repair damage to the structure. That is, based on the predicted change with time, the soundness evaluation index value can be repaired immediately before reaching the threshold value P2 (see FIG. 8) of the soundness evaluation index value, for example. As a result, a repair plan can be appropriately formulated, the operation of the structure 2 can be systematically stopped, and an unintended decrease in the operating rate can be suppressed.

Further, for example, it can be repaired at any time according to the change of the soundness evaluation index. For example, from the viewpoint of suppressing the operation stoppage as much as possible, the repair may be performed immediately before reaching the threshold value P2 (see FIG. 8) of the soundness evaluation index value. However, from the viewpoint of extending the life of the structure 2, it is preferable to repeat small-scale repairs. Therefore, for example, repair can be performed before the soundness evaluation index value changes significantly (for example, half the value of the threshold value P2).

Further, the future change of the soundness index with time can be predicted for each structure 2 (structure 2A in the above example) to be evaluated for soundness. Therefore, it is possible to eliminate variations in each structure 2 due to changes in the soundness evaluation index over time, and it is possible to formulate an appropriate repair plan for each structure 2.

FIG. 10 is a block diagram of a soundness evaluation system 1A including the soundness evaluation device 3A of the second embodiment. The soundness evaluation device 3A includes a second database construction unit 7A instead of the database construction unit 7 (see FIG. 1) in the soundness evaluation device 3 described above. The second database construction unit 12 constructs the time-varying database 11A (described later) in the same manner as the database construction unit 7. However, the second database construction unit 7A does not predict the change over time of the soundness evaluation index value after t0 based on the acquired soundness evaluation index value. Therefore, the second database construction unit 7A constructs the time-dependent change database 11A using only the acquired soundness evaluation index value. The soundness evaluation device 3A is suitable when the acquired soundness evaluation index values are abundantly accumulated.

FIG. 11 is a diagram showing a time-dependent database 11A constructed in the second embodiment. The meanings of the plot symbols are synonymous with the plots shown in FIGS. 6 and 7. The second embodiment assumes a case where the structure 2 has been used and the accumulation of changes over time in the soundness evaluation index value is abundant. Therefore, in the time-dependent change database 11A, the finite element analysis and the like are not performed, and the approximate curves L2A, L2B, and L2C based on the plots of the structures 2A, 2B, and 2C are calculated. Then, a region D (region D shown by diagonal lines in FIG. 7) surrounded by the temporal change database 11A, the approximate curve L2A which is the widest region, and the approximate curve L2C is used as the temporal change database 11A.

According to the second embodiment, the time-dependent change database 11A based on the actual results can be constructed. Therefore, the calculation error caused by the finite element analysis or the like can be suppressed, and the prediction accuracy of the change with time of the soundness evaluation index value can be improved.

FIG. 12 is a block diagram of the soundness evaluation system 1B including the soundness evaluation device 3B of the third embodiment. The soundness evaluation device 3B includes a second aging database 11B instead of the aging database 11. The second time-dependent change database 11B includes the time-dependent change of the soundness evaluation index value determined in advance by simulation or the like based on the assumed operating condition. The soundness evaluation device 3B is suitable when, for example, there is no operation record of the structure 2 due to a new model or the like, and there is no record of acquisition of the soundness evaluation index value.

FIG. 13 is a diagram showing a second time change database 11B constructed in the third embodiment. The meanings of the plot symbols are synonymous with the plots shown in FIGS. 6 and 7. The second time-dependent change database 11B is determined in advance by simulation or the like as described above. Therefore, the second aging database 11B does not include plots such as those shown in FIG. Therefore, after the start of operation of the structure 2, when the acquisition amount of the soundness evaluation index value is small, the soundness evaluation device 3B provided with the second time-dependent change database 11B is used to change the soundness evaluation index value of the structure 2A with time. Can be predicted. However, in order to improve the prediction accuracy, it is preferable to switch from the prediction by the soundness evaluation device 3B to the prediction by, for example, the soundness evaluation devices 3 and 3A when the acquisition amount of the soundness evaluation index value is accumulated to some extent. As a result, the accuracy of predicting the change with time of the soundness evaluation index value of the structure 2A can be improved.

According to the third embodiment, even when the structure 2A to be evaluated for soundness is a new model having no operation record, it is possible to predict the change with time of the soundness evaluation index value.

FIG. 14 is a block diagram of the soundness evaluation system 1C including the soundness evaluation device 3C of the fourth embodiment. Unlike the soundness evaluation device 3, the soundness evaluation device 3C does not include the operating state acquisition unit 5. Therefore, the soundness evaluation device 3C does not acquire the operating state of the structure 2, but acquires only the soundness evaluation index value. Further, unlike the soundness evaluation device 3, the soundness evaluation device 3C does not include the normalization execution unit 6 and the denormalization execution unit 8. Therefore, the soundness evaluation device 3C does not normalize or denormalize the acquired soundness evaluation index value. The soundness evaluation device 3C is suitable for prediction in a structure 2 having a similar operating state.

For example, the operating state of structure 2A, which is the target of soundness evaluation, such as construction machinery used at the same frequency in a narrow area and railroad vehicles traveling on an annular route, and other structures 2B and 2C (1 unit). However, it may be similar to the operating state of 3 or more units). In this case, it can be assumed that the operating states of the structures 2 are all the same. Therefore, in the fourth embodiment, the operating state is not acquired from the individual structures 2, and the change with time of the soundness evaluation index value is predicted.

Specifically, the database construction unit 7 plots the soundness evaluation index values acquired from each structure 2 on a graph, and sets the horizontal axis as time and the vertical axis as soundness evaluation index values. Do not) build. At this time, since it can be assumed that the operating state is the same for all the structures 2 as described above, the time is not normalized. Then, based on the constructed time-dependent change database, the prediction unit 9 predicts the time-dependent change of the soundness evaluation index value.

According to the fourth embodiment, by not performing normalization and denormalization, it is possible to reduce the labor and calculation error of the calculation. In addition, the labor of calculation can be reduced by not using the data related to the operating state. From these, it is possible to predict the time-dependent change of the soundness evaluation index value by a simple method.

FIG. 15 is a block diagram of the soundness evaluation system 1D including the soundness evaluation device 3D of the fifth embodiment. In the fifth embodiment, the operating state and soundness evaluation index value of the structures 2B and 2C are not acquired, and the soundness evaluation index value of the structure 2A is based on the operating state and soundness evaluation index value of only the structure 2A. Is expected to change over time. Therefore, in the fifth embodiment, the future change of the soundness evaluation index value is predicted based on the time-dependent change of the soundness evaluation index value of the structure 2A itself to be evaluated.

According to the fifth embodiment, even in the stand-alone structure 2, the change with time of the soundness evaluation index value of the structure 2A itself can be predicted based on the operating state and the soundness evaluation index value of the structure 2A.

1 Soundness evaluation system 10 Output unit 11 Time change database 11A Time change database 11B Second time change database 1A Soundness evaluation system 1B Soundness evaluation system 1C Soundness evaluation system 1D Soundness evaluation system 2 Structure 21 Network 22 Output Device 23 Imaging device 24 Region 25 Digital image 26 Crack 26A Tip 28 Strain distribution image 2A Structure 2a Member 2B Structure 2b Member 2C Structure 3 Soundness evaluation device 31 Marker point 32 Damage 33 Deformation behavior Two-dimensional mapping image 38 Strain measurement Device 3A Soundness evaluation device 3B Soundness evaluation device 3C Soundness evaluation device 3D Soundness evaluation device 4 Index acquisition unit 5 Operating state acquisition unit 6 Normalization execution unit 7 Database construction unit 7A Second database construction unit 8 Reverse normalization execution Part 9 Prediction part S1 Index acquisition step S2 Operating state acquisition step S3 Normalization execution step S4 Database construction step S5 Reverse normalization execution step S6 Prediction step S7 Output step

Claims (15)

An index acquisition unit that acquires a soundness evaluation index indicating the behavior of the structure due to a load on the structure as a soundness evaluation target, and an index acquisition unit.
A database construction unit that constructs a time-dependent change database of the soundness evaluation index of the structure and includes the time-dependent change after the acquisition time of the soundness evaluation index.
Based on the soundness evaluation index acquired by the index acquisition unit and the time-dependent change database, a prediction unit that predicts the time-dependent change of the soundness evaluation index after the acquisition time of the soundness evaluation index by the index acquisition unit. And equipped with a soundness evaluation device. The soundness evaluation device according to claim 1, further comprising an operating state acquisition unit that acquires an operating state of the structure that causes a load on the structure. The soundness evaluation device according to claim 2, wherein the operating state includes the operating state of the structure itself, which is the soundness evaluation target. The soundness evaluation device according to claim 2 or 3, wherein the operating state includes an operating state of a structure of the same type as the structure and different from the structure to be evaluated for soundness. The soundness evaluation device according to claim 4, further comprising a normalization execution unit that normalizes the acquired operating state of the other structure in line with the operating state of the structure to be evaluated for soundness. The soundness evaluation index according to any one of claims 1 to 3, wherein the soundness evaluation index includes a soundness evaluation index of a structure that is the same type as the structure and is different from the structure that is the soundness evaluation target. Soundness evaluation device. The soundness evaluation device according to any one of claims 1 to 3, wherein the soundness evaluation index includes a soundness evaluation index value configured as visualization data in which the soundness evaluation index is data-processably visualized. .. The soundness evaluation device according to claim 7, wherein the database construction unit constructs the time-dependent change database based on the time-dependent change of the soundness evaluation index value acquired by the index acquisition unit. The soundness evaluation device according to claim 8, wherein the database construction unit constructs the time-varying database by a finite element analysis or a statistical method. The soundness evaluation device according to claim 7, wherein the soundness evaluation index value includes a crack length calculated by a digital image correlation method based on an image of the structure obtained by the image pickup device. The soundness evaluation device according to claim 7, wherein the soundness evaluation index value includes a deformation amount calculated by a two-dimensional mapping method based on a digital image of the structure obtained by the image pickup device. The soundness evaluation device according to claim 7, wherein the soundness evaluation index value includes a change amount of strain in the vicinity of damage caused to the structure. The soundness evaluation device according to any one of claims 1 to 3, further comprising an output unit that outputs a prediction result by the prediction unit to an output device. Structures for soundness evaluation and
The index acquisition unit that acquires the soundness evaluation index representing the behavior of the structure due to the load on the structure, and the time-dependent change of the soundness evaluation index in the structure and the acquisition time of the soundness evaluation index. Acquisition of the soundness evaluation index by the index acquisition unit based on the database construction unit that constructs the time-dependent change database including the subsequent time-dependent changes, the soundness evaluation index acquired by the index acquisition unit, and the time-dependent change database. A soundness evaluation system including a soundness evaluation device including a prediction unit for predicting a time-dependent change of the soundness evaluation index after a time. An index acquisition step for acquiring a soundness evaluation index representing the behavior of the structure due to a load on the structure as a soundness evaluation target, and an index acquisition step.
A database construction step for constructing a time-dependent change database of the soundness evaluation index of the structure including the time-dependent change after the acquisition time of the soundness evaluation index, and
Based on the soundness evaluation index acquired in the index acquisition step and the time-dependent change database, a prediction step for predicting the time-dependent change of the soundness evaluation index after the acquisition time of the soundness evaluation index in the index acquisition step. Soundness assessment methods including and.

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