Information processing device, information processing method, and program

Abstract

This information processing device comprises: a reference displacement calculation unit for calculating reference displacement data on the basis of displacement data, which has been measured in a target period and which pertains to one or more sub-structures that are similar to an evaluation target sub-structure constituting a target structure; a difference calculation unit for using the reference displacement data and evaluation target displacement data which pertains to a prescribed portion of the evaluation target sub-structure to calculate displacement difference data; an estimation unit for using the displacement difference data to estimate a probability distribution of a displacement difference of the evaluation target sub-structure; and a diagnosis unit for using the estimated probability distribution of the displacement difference to perform a statistical analysis process and diagnosing the soundness of the sub-structure on the basis of the result of the process.

Description

Information processing device, information processing method, and computer-readable recording medium

[0001] The present disclosure relates to an information processing device and information processing method for diagnosing the soundness of a structure, and further to a computer-readable recording medium on which a program for realizing these is recorded.

[0002] The useful life of structures such as bridges is generally said to be around 50 years. Many of these structures were constructed en masse during the period of high economic growth (1960s), and many have exceeded their useful life. Therefore, the soundness of many of these structures needs to be evaluated. However, the number of workers who can assess the soundness of structures is decreasing year by year. Therefore, there is a demand for a method to assess the soundness of structures without relying on human labor.

[0003] As a related technique, Patent Document 1 discloses a system for evaluating the degree of deterioration of a structure based on the displacement of the structure. According to the system of Patent Document 1, a raw displacement amount of an observation point set on the structure is calculated using a positioning satellite, a corrected displacement amount is calculated by subtracting a temperature correction value from the raw displacement amount, and the degree of deterioration of the object is evaluated in stages according to the corrected displacement amount.

[0004] Japanese Patent Application Laid-Open No. 2021-117007

[0005] The above-mentioned Patent Document 1 is premised on the assumption that the relationship between temperature and displacement of a structure can be expressed by a function. However, in reality, it is difficult to obtain such a function. Furthermore, such a premise may not hold true. For example, if there is an influence (unevenness or variation) of the temperature of the structure, the relationship between temperature and displacement of the structure may not be expressed by a simple function. Furthermore, there are cases in which the influence of live load on the displacement of a structure is greater than the influence of the temperature of the structure.

[0006] In such cases, it is difficult to diagnose the soundness of the target structure even if the temperature correction value is calculated using the technology of Patent Document 1. In other words, Patent Document 1 cannot diagnose the soundness of the structure if the dominant influencing factor of the structure displacement is not temperature.

[0007] One example of the objective of the present disclosure is to diagnose the health of a structure without temperature correction.

[0008] In order to achieve the above-mentioned object, an information processing device according to one aspect of the present disclosure is characterized by having: a reference displacement calculation unit that calculates reference displacement data based on displacement data of one or more sub-structures similar to a sub-structure to be evaluated that constitutes a target structure, measured during a target period; a difference calculation unit that calculates displacement difference data using the displacement data of a specific portion of the sub-structure to be evaluated and the reference displacement data; an estimation unit that estimates a probability distribution of displacement differences of the sub-structure to be evaluated using the displacement difference data; and a diagnosis unit that performs statistical analysis processing using the estimated probability distribution of displacement differences and diagnoses the soundness of the sub-structure based on the processing results.

[0009] In addition, in order to achieve the above-mentioned object, an information processing method in one aspect of the present disclosure is characterized in that an information processing device calculates reference displacement data based on displacement data of one or more sub-structures similar to a sub-structure to be evaluated that constitutes a target structure, measured during a target period; calculates displacement difference data using the displacement data of the sub-structure to be evaluated of a specific portion in the sub-structure to be evaluated and the reference displacement data; estimates a probability distribution of displacement differences of the sub-structure to be evaluated using the displacement difference data; performs statistical analysis processing using the estimated probability distribution of displacement differences; and diagnoses the soundness of the sub-structure based on the processing results.

[0010] Furthermore, in order to achieve the above-mentioned object, a computer-readable recording medium according to one aspect of the present disclosure is characterized in that it records a program that causes a computer to calculate reference displacement data based on displacement data of one or more sub-structures similar to a sub-structure to be evaluated that constitutes a target structure, measured during a target period; calculate displacement difference data using the displacement data of a specific portion of the sub-structure to be evaluated and the reference displacement data; estimate a probability distribution of displacement differences of the sub-structure to be evaluated using the displacement difference data; perform statistical analysis processing using the estimated probability distribution of displacement differences; and diagnose the soundness of the sub-structure based on the processing results.

[0011] As described above, according to the present disclosure, the soundness of a structure can be diagnosed without temperature correction.

[0012] FIG. 1 is a diagram illustrating an example of an information processing device. FIG. 2 is a diagram illustrating an example of a system having an information processing device. FIG. 3 is a diagram illustrating an example of a structure. FIG. 4 is a diagram illustrating an example of displacement data. FIG. 5 is a diagram illustrating an example of graphing displacement data. FIG. 6 is a diagram illustrating an example of the relationship between displacement data and reference displacement data in calculating reference displacement data. FIG. 7 is a diagram illustrating an example of calculation of reference displacement data. FIG. 8 is a diagram illustrating an example of a probability distribution of displacement differences. FIG. 9 is a diagram illustrating an example of a displacement function obtained by curve fitting displacement data. FIG. 10 is a diagram illustrating an example of a probability distribution of displacement differences in Modification 2. FIG. 11 is a diagram illustrating an example of the operation of the information processing device. FIG. 12 is a diagram illustrating an example of a computer that realizes the information processing device in the embodiment and the modification.

[0013] Hereinafter, an embodiment will be described with reference to the drawings. In the drawings described below, elements having the same or corresponding functions are denoted by the same reference numerals, and repeated description thereof may be omitted.

[0014] [Device Configuration] The configuration of an information processing device in an embodiment is described as a device (health assessment device) that diagnoses the health of a structure without temperature correction, using Fig. 1. Fig. 1 is a diagram for explaining an example of an information processing device.

[0015] The structure may be, for example, a hardened substance (concrete, mortar, etc.) solidified using at least sand, water, and cement, or metal, or a structure constructed using these. The structure may also be a whole building or a part thereof. The structure may also be a whole machine or a part thereof.

[0016] A structure is a collection of substructures with similar structural types. Furthermore, when multiple substructures are affected by the same environmental factors, similar displacements occur. For example, if the structure is a bridge, the substructure is a collection of multiple spans (substructures representing the space between piers). Furthermore, multiple spans are exposed to similar temperature environments and traffic loads, and will generate similar displacements.

[0017] The relationship between a structure and a sub-structure is not limited to bridges and spans, but can also be applied to other structures. Examples of other structures include dams, gas tanks, and buildings, which can be considered as a collection of sub-structures with similar structural forms. For example, in the case of a building, each floor is considered a sub-structure.

[0018] In the following, for ease of understanding, a bridge will be used as an example of a structure.

[0019] The information processing device 10 shown in Fig. 1 diagnoses the soundness of any sub-structure of a structure to be evaluated. Furthermore, the soundness diagnosis also includes anomaly detection. The information processing device 10 also includes a reference displacement calculation unit 11, a difference calculation unit 12, an estimation unit 13, and a diagnosis unit 14.

[0020] The reference displacement calculation unit 11 calculates reference displacement data based on displacement data of one or more sub-structures similar to the sub-structure to be evaluated that constitutes the target structure, measured during the target period.

[0021] The difference calculation unit 12 calculates displacement difference data using displacement data of a predetermined portion of the sub-structure to be evaluated (displacement data to be evaluated) and reference displacement data.

[0022] The estimation unit 13 uses the displacement difference data to estimate the probability distribution of the displacement differences of the sub-structure to be evaluated. Note that, hereinafter, the probability distribution of the displacement differences of the sub-structure to be evaluated may be simply referred to as the "probability distribution."

[0023] The diagnosing unit 14 performs statistical analysis processing using the probability distribution of the estimated displacement difference, and diagnoses the soundness of the secondary structure based on the processing results.

[0024] Specifically, the diagnosing unit 14 diagnoses whether or not there is an abnormality (aging, damage, etc.) in the displacement of the secondary structure based on the results of a testing process that calculates the distance between the mean value of the probability distribution and a preset zero (a value that indicates soundness). Alternatively, the diagnosing unit 14 may estimate the structural parameters of the secondary structure through a statistical analysis process that reproduces the probability distribution through simulation, and diagnose whether or not there is an abnormality in the secondary structure.

[0025] In any of the above-mentioned processes, the diagnosing unit 14 diagnoses the soundness of the secondary structure to be evaluated based on the results of statistical analysis processes such as testing processes, using the probability distribution of displacement differences.

[0026] In this way, in the embodiment, attention is paid to the displacements of multiple sub-structures that make up the structure, a reference displacement is calculated using the displacements of sub-structures other than the one being evaluated, and the degree of deviation of the displacement of the sub-structure being evaluated from that reference displacement is evaluated using the probability distribution of the displacement difference.

[0027] Therefore, in the embodiment, a reference displacement assumed to be healthy is calculated using the displacement of a secondary structure other than the object of evaluation, so that the health of the structure can be diagnosed without correcting the displacement due to temperature (temperature correction).

[0028] [System Configuration] The configuration of the information processing device 10 in this embodiment will be described in more detail with reference to Fig. 2. Fig. 2 is a diagram illustrating an example of a system including an information processing device.

[0029] 2 , a system including an information processing device 10 according to an embodiment includes the information processing device 10, a plurality of observation points 21 (21 a, 21 b, 21 c), a storage device 30, and an output device 40. The information processing device 10 also includes a reference displacement calculation unit 11, a difference calculation unit 12, an estimation unit 13, a diagnosis unit 14, a collection unit 15, and an output information generation unit 16.

[0030] The information processing device 10 is, for example, an information processing device such as a CPU (Central Processing Unit), a programmable device such as an FPGA (Field-Programmable Gate Array), a GPU (Graphics Processing Unit), or a circuit equipped with one or more of these, a server computer, a personal computer, or a mobile terminal.

[0031] The sub-structures 20 (20a, 20b, 20c) are components that make up the target structure. The sub-structures 20a, 20b, 20c have similar structural forms. The sub-structures 20a to 20c may be sub-structures that make up a structure other than the target structure, as long as they have similar factors (such as the same temperature or traffic volume) and can be expressed with a similar structural form.

[0032] The secondary structures 20a to 20c are, for example, structures between piers. The structures between piers may be spans, spans, or bridge girders between piers. Figure 3 is a diagram for explaining an example of a secondary structure. In the example of Figure 3, each bridge girder is treated as a secondary structure 20, but the secondary structure 20 is not limited to a bridge girder. Although there are three secondary structures 20a to 20c in Figure 3, the number is not limited to three, and there may be two or more secondary structures 20.

[0033] Observation points 21 (21a, 21b, 21c) are points at which the displacement of the secondary structures 20a to 20c is observed. The displacements observed at observation points 21a to 21c are preferably displacements in a direction suitable for the purpose of confirming the soundness of the secondary structures 20a to 20c. For example, if the structure is a bridge, vertical displacement is preferable. Also, if the structure is a building, horizontal displacement is preferable.

[0034] The sensors (not shown) arranged at the observation points 21a to 21c for observing displacement may be, for example, contact sensors or non-contact sensors. Alternatively, remote sensing such as satellite SAR (Synthetic Aperture Radar) may be used. The sensors for observing displacement at the observation points 21 transmit displacement data to the information processing device 10 via a communication network.

[0035] The network is a general communication network constructed using communication lines such as the Internet, a LAN (Local Area Network), a dedicated line, a telephone line, an in-house network, a mobile communication network, Bluetooth (registered trademark), and Wi-Fi (Wireless Fidelity).

[0036] The storage device 30 is a database, a server computer, a memory, etc. The storage device 30 stores, for example, various types of information. In the example of Fig. 2, the storage device 30 is provided outside the information processing device 10, but it may also be provided inside the information processing device 10.

[0037] The output device 40 acquires the output information converted into an outputtable format by the output information generation unit 16, and outputs generated images, sounds, etc. based on the output information. The output device 40 is, for example, an image display device using a liquid crystal, an organic EL (Electro Luminescence), or a CRT (Cathode Ray Tube). Furthermore, the image display device may also include an audio output device such as a speaker. The output device 40 may also be a printing device such as a printer. The output information will be described later.

[0038] The details of the information processing device will be described. The collection unit 15 collects measurement data (displacement data) transmitted from each of the multiple observation points 21 (21a, 21b, 21c) of the sub-structure 20 (20a, 20b, 20c) via a network using wired communication, wireless communication, or the like. Next, the collection unit 15 stores the measurement data in the storage device 30.

[0039] The displacement data will be described with reference to Fig. 4 and Fig. 5. Fig. 4 is a diagram for explaining an example of the displacement data. Fig. 5 is a diagram for explaining an example of graphing the displacement data.

[0040] Figure 4 shows an example of measurement data (displacement data) of the secondary structure 20 (20a, 20b, 20c) measured at the observation point 21 (21a, 21b, 21c). Figure 4 includes measurement data (displacement data) at measurement time T1. In addition, the example in Figure 4 shows only one measurement period, but in reality there are multiple periods. In addition, the displacement data shown in Figure 4 is represented by labels rather than numerical values. For example, the label "dispT1_a_s1" indicates that the measurement data (displacement data) is measured at the observation position S1 of the observation point 21a of the secondary structure 20a at measurement time T1.

[0041] Figure 5 is a graph showing the relationship between observation positions S1 to S7 (●: black dots) at observation point 21a and their displacement data (○: white dots). The horizontal axis (X axis) of the graph in Figure 5B represents the distance from the bridge pier on the left side of Figure 5 to observation positions S1 to S7. In Figure 5B, this distance is referred to as the bridge axis direction distance. The vertical axis (Y axis) of the graph in Figure 5B represents the value of the displacement data, with the downward direction representing displacement that increases vertically downward.

[0042] The reference displacement calculation unit 11 calculates reference displacement data based on displacement data of one or more sub-structures similar to the sub-structure to be evaluated that constitute the target structure, measured during the target period set by the user.

[0043] Specifically, the reference displacement calculation unit 11 acquires from the storage device 30 multiple displacement data measured using observation points 21b and 21c of sub-structures 20b and 20c that are similar to the structure 20a to be evaluated that has been set in advance.

[0044] For example, for a sub-structure similar to the span (sub-structure) of bridge A to be evaluated, the span (sub-structure) adjacent to the span to be evaluated is considered to be the first candidate (sub-structure similar to the sub-structure to be evaluated). However, if the structural type of the span (e.g., box girder, arch bridge, etc.), span length, etc. are similar, the span of another bridge (e.g., bridges B and C) may be considered the second candidate (sub-structure similar to the sub-structure to be evaluated).

[0045] Next, the reference displacement calculation unit 11 calculates reference displacement data to be used for diagnosing the soundness of the obtained displacement data based on the preset calculation conditions (reference displacement calculation process). Next, the reference displacement calculation unit 11 stores the reference displacement data in the storage device 30.

[0046] The calculation conditions include, for example, a process of calculating the average value of displacement data corresponding to the observation point at the center of the span obtained for each secondary structure.

[0047] The reference displacement calculation process will be described below: The reference displacement calculation unit 11 calculates reference displacement data using displacement data of predetermined representative positions of a plurality of secondary structures other than the secondary structure to be evaluated.

[0048] The predetermined representative position may be, for example, the central position where the largest displacement occurs among the observation points 21 a to 21 c. This is because the location where the largest displacement occurs is suitable for calculating the reference displacement data. In other words, the reference displacement calculation unit 11 may calculate the reference displacement data using the displacement data of the observation position closest to the central position of the observation points 21 a to 21 c.

[0049] 6 is a diagram for explaining an example of the relationship between displacement data and reference displacement data in calculating reference displacement data. In the example of FIG. 6, the center position of observation point 21a is the area surrounded by dotted line 7a.

[0050] 7 is a diagram for explaining an example of calculation of reference displacement data. Using FIG. 7, a case will be described in which the structure to be evaluated is designated as 20a, structures other than the structure to be evaluated are designated as 20b and 20c, and the center position between observation points 21b and 21c is designated as a predetermined representative position.

[0051] In the example of Figure 7, the displacement data for the central position (S4) of observation point 21b is represented by "dispT1_b_S4". The displacement data for the central position (S4) of observation point 21c is represented by "dispT1_c_S4". The reference displacement calculation unit 11 calculates the arithmetic mean of the displacement data "dispT1_b_S4" and "dispT1_c_S4" to calculate the reference displacement data "ref_dispT1_a_S4". Note that in the example of Figure 7, there is only one label representing the displacement data for the central positions (S4) of observation points 21b and 21c, but there may be multiple labels. "ref_dispT1_a_S4" in Figure 7 represents the reference displacement data.

[0052] Another example of the predetermined representative position will be described. The predetermined representative position may be set, for example, in a range of ±5% of the center position of the observation points 21 (21a to 21c). In other words, the reference displacement calculation unit 11 may calculate the reference displacement data using displacement data of the observation positions (S1 to S7) included in a range of ±5% of the center position of the observation points 21a to 21c. However, the range is not limited to ±5% and may be other than ±5% (for example, it may be smaller or larger than ±5%).

[0053] The reference displacement data may be, for example, an arithmetic mean, a geometric mean, a weighted mean, a median, a mode, etc. If the lengths of the similar sub-structures 20a to 20c are slightly different from each other, a weighted mean weighted by the lengths of the structures 20a to 20c may be used to offset the influence of the difference in length on the displacement.

[0054] Furthermore, it is unlikely that abnormalities will occur simultaneously in multiple secondary structures other than the one being evaluated, and since the multiple secondary structures other than the one being evaluated are affected by the same environment as the substructure being evaluated, the reference displacement data can also be calculated using displacement data at specified representative positions of the multiple secondary structures other than the one being evaluated.

[0055] The difference calculation unit 12 calculates displacement difference data between the displacement data of a predetermined portion of the sub-structure to be evaluated (displacement data to be evaluated) and the reference displacement data during the target period.

[0056] Specifically, the difference calculation unit 12 first acquires displacement data (evaluation target displacement data) of the observation point 21a of the evaluation target structure 20a and reference displacement data from the storage device 30. Next, the difference calculation unit 12 calculates the difference between the displacement data and the reference displacement data (difference calculation process). Thereafter, the difference calculation unit 12 stores the displacement difference data for the evaluation target structure 20a in the storage device 30.

[0057] The difference calculation process will be described below. The case where the evaluation target is the sub-structure 20a and the reference displacement data calculated by the reference displacement calculation unit 11 is "ref_dispT1_a_S4" will be described. In the example of FIG. 7, the difference calculation unit 12 calculates the displacement difference data Δd (= "dispT1_a_S4" - "ref_dispT1_a_S4").

[0058] The estimation unit 13 uses the displacement difference data to estimate the probability distribution of the displacement difference of the secondary structure to be evaluated.

[0059] Specifically, the estimation unit 13 first acquires displacement difference data for the structure 20a from the storage device 30. Next, the estimation unit 13 estimates a probability distribution using the displacement difference data (probability distribution estimation process). After that, the estimation unit 13 stores probability distribution information representing the estimated probability distribution in the storage device 30.

[0060] The probability distribution estimation process will now be described. The estimation unit 13 creates a frequency distribution of the displacement difference data calculated by the difference calculation unit 12, and estimates a probability distribution close to the frequency distribution. For example, kernel density estimation or Gaussian fitting is used to estimate the probability distribution.

[0061] Fig. 8 is a diagram illustrating an example of a probability distribution of a displacement difference. The vertical axis of Fig. 8 represents the probability density, and the horizontal axis represents the displacement difference [mm]. Curve 81a represents a probability distribution with a mean of zero, and curve 81b represents a probability distribution with a mean of non-zero. That is, curve 81a represents the probability distribution of a displacement difference when the measurement data is a healthy value (displacement difference ≈ 0). Curve 81b represents the probability distribution of a displacement difference when an abnormal value occurs in the measurement data.

[0062] A probability distribution with a mean of zero for the displacement difference from the reference displacement means that a displacement close to the reference displacement is occurring in the sub-structure being evaluated. Conversely, a probability distribution with a non-zero mean means that a displacement different from the reference displacement is occurring.

[0063] The diagnosing unit 14 performs statistical analysis processing using the probability distribution of the estimated displacement difference, and diagnoses the soundness of the secondary structure based on the processing results.

[0064] Specifically, the diagnoser 14 first acquires the probability distribution of the displacement difference from the storage unit 30. Next, the diagnoser 14 uses the acquired probability distribution of the displacement difference to diagnose the soundness of the secondary structure 20 to be evaluated (soundness diagnosis process). Next, the diagnoser 14 stores the diagnosis result in the storage unit 30.

[0065] Here, the probability distribution can be regarded as a judgment index for determining how much the displacement of the sub-structure being evaluated differs from the reference displacement. The reference displacement is a value calculated from the displacement of other sub-structures with similar structural forms other than the sub-structure being evaluated, and is therefore affected by the same environmental factors.

[0066] Therefore, if there is no abnormality in the displacement of the sub-structure being evaluated, the displacement is assumed to have a value similar to the reference displacement. Conversely, if there is an abnormality in the displacement of the sub-structure being evaluated, the displacement is assumed to have a value different from the reference displacement. Note that this assumption is based on the assumption that abnormalities do not occur simultaneously.

[0067] According to the above idea, the average value of the probability distribution of the displacement difference of the secondary structure being evaluated can be considered as an indicator of soundness (soundness diagnosis result) that indicates how close it is to an average of zero (a value that indicates soundness).

[0068] Specifically, the soundness diagnosis process executes a testing process that calculates the distance between the mean value of the probability distribution and a preset zero (a value that indicates soundness), and diagnoses whether there is any abnormality (deterioration due to aging, damage, etc.) in the displacement of the secondary structure 20 being evaluated based on the results of the testing process.

[0069] Alternatively, the health diagnosis process may estimate the structural parameters of the secondary structure 20 by a statistical analysis process that reproduces the probability distribution by simulation, and diagnose whether or not there is an abnormality in the secondary structure.

[0070] Or, the t-value calculated from the mean and variance of the probability distribution (= (mean - 0) / (variance / sample size) １／２ If a significant difference is found in the average values ​​by a t-test of the difference in the average values, it may be deemed that there is deterioration, and the soundness may be diagnosed. Here, as a guideline for whether or not there is deterioration, for example, a significance level of 5 [%] may be set.

[0071] The output information generator 16 outputs the information stored in the storage device 30 to the output device 40. The information may be one or more of the following: the structure of the structure 20a (see FIG. 3), displacement data at the observation point 21a (see FIG. 4), a graph of the displacement data (see FIG. 5), reference displacement data (see FIG. 7), the displacement difference between the displacement data at the observation point 21a and the reference displacement data, the probability distribution of the displacement difference (see FIG. 8), and the soundness diagnosis result.

[0072] (Modification 1) Modification 1 of the embodiment will be described. In the embodiment, the reference displacement calculation unit 11 and the difference calculation unit 12 calculate the reference displacement data and the displacement difference data using the measurement data (displacement data) at the observation point 21.

[0073] In contrast, in Modification 1, the reference displacement calculation unit 11 and the difference calculation unit 12 do not directly use the measurement data (displacement data) of the observation points 21, but instead perform curve fitting using the measurement data (displacement data) to determine a displacement function. Then, based on the displacement function obtained by curve fitting, a value (displacement data) is determined for each observation point 21.

[0074] The displacement function provides displacement data at any position of the observation point 21. The function used for curve fitting is, for example, a polynomial or a trigonometric function.

[0075] The calculation of the probability distribution in Modification 1 will be described using Fig. 9. Fig. 9 is a diagram for explaining an example of a displacement function obtained by curve fitting displacement data in Modification 1. Fig. 9A shows observation point 21a (●: black circle) of structure 20a to be evaluated. Fig. 9B shows an example of a displacement function 91a for measurement data (displacement data) (○: white circle) of observation point 21a. As in the embodiment, in Modification 1, the probability distribution of displacement differences is estimated from a predetermined representative position of observation point 21.

[0076] (Variation 2) Variation 2, which is a further variation of Variation 1, will be described. In Variation 2, the probability distribution of the displacement differences is assumed to be a normal distribution, and the mean or variance of the normal distribution is estimated. Note that, as in Variation 1, in Variation 2 as well, the probability distribution of the displacement differences is estimated from a predetermined representative position of the observation point 21.

[0077] The calculation of the probability distribution of the displacement difference in Modification 2 will be described using Fig. 10. Fig. 10 is a diagram for explaining an example of the probability distribution of the displacement difference in Modification 2. Fig. 10A shows the observation point 21a (●: black circle) of the secondary structure 20a to be evaluated. Fig. 10B shows an example of a displacement function 91a for the displacement data of the observation point 21a (○: white circle). Fig. 10C shows the probability distribution of the displacement difference estimated by the estimation unit 13 in Modification 2.

[0078] In Modification 2, the reference displacement calculation unit 11 calculates reference displacement data using values ​​(displacement data) calculated based on the displacement function, as in Modification 1. The difference calculation unit 12 calculates displacement difference data using values ​​(displacement data) calculated based on the displacement function and the reference displacement data, as in Modification 1.

[0079] In addition, in variant example 2, the estimation unit 13 estimates, for example, a displacement difference 94a (average of the normal distribution in Figure 10C) between the displacement function value 92a (displacement data) at the central position (S4) of the observation point 21a and the reference displacement data.

[0080] Alternatively, in variant example 2, the estimation unit 13 may estimate the unbiased variance (variance 95a of the normal distribution 96a in Figure 10C) from at least two of the differences 93a between the measurement data at a predetermined position (S1 to S7) of the observation point 21a and the value of the displacement function.

[0081] (Variation 3) Variation 3, which is a further variation of Variation 2, will be described. In Variation 3, the estimation unit 13 estimates the probability distribution of the displacement difference by regarding it as a function that changes depending on the observation position of the observation point 21 a. As in Variation 2, the probability distribution of the displacement difference is assumed to be a normal distribution. The estimation unit 13 of Variation 3 estimates the mean and variance of the normal distribution as a function of the observation position of the observation point 21 a.

[0082] In the third modification, an arbitrary position among the observation points 21a is selected, and the variance of the probability distribution at that position is calculated from the difference 93a between all the measurement data (S1 to S7) of the observation point 21a and the value of the displacement function. In other words, the variance of the probability distribution of the displacement difference is determined regardless of the observation position.

[0083] However, in the case of bridges, it is expected that the change in displacement will be large at the center of the span and small at the ends (piers) that are fixed to the ground. Therefore, it is possible to incorporate a mechanism that adjusts the size of the variance in the probability distribution of the displacement difference depending on the observation position.

[0084] The mean of the normal distribution at the observation position is the displacement difference function between the displacement function of the observation point 21a and the reference displacement.

[0085] The variance of the normal distribution at the observation position is determined by using the unbiased variance of the difference between the displacement data and the displacement function at observation point 21a as the reference variance, and the variance changes depending on the observation position of observation point 21a so that it is maximum at the center of observation point 21a and minimum at the end of observation point 21a.

[0086] In the third modification, the estimation unit 13 estimates a normal distribution having the above-described mean and variance as the probability distribution of the displacement difference. By using such a probability distribution, the difference in displacement at each of the observation points 21a can be reflected in the diagnosis of the soundness.

[0087] As described above, unlike the embodiment and modifications 1 and 2, in modification 3, the probability distribution of the displacement difference at an arbitrary observation position of observation point 21a is estimated as a function.

[0088] (Variation 4) The following describes Variation 4, which is a further variation of Variation 3. In Variation 4, the diagnosing unit 14 may diagnose the soundness of the secondary structure by estimating structural parameters of the secondary structure through statistical analysis processing that reproduces the probability distribution described in Variation 3 through structural simulation.

[0089] The above-mentioned statistical analysis process may involve, for example, the Markov chain Monte Carlo method, etc. The Markov chain Monte Carlo method (MCMC) estimates, for an observation object consisting of observed data X and an unobserved parameter θ, a posterior probability distribution of θ, P(θ|X)=P(X|θ)P(θ) / P(X), which is expressed by the probability distribution P(X) of the observed data X, the conditional probability distribution P(X|θ) of the observed data X, and the prior probability distribution P(θ) of the unobserved parameter θ, by repeating random selection and simulation.

[0090] P(X) is obtained from observed data. P(θ) is set based on general knowledge about the observed object, and a uniform distribution is often used. P(X|θ) is calculated by simulating the observed object. This is because P(X|θ) is a probability distribution of observed data X assuming a certain unobserved parameter θ, and it is not realistic to obtain it from observed data.

[0091] Applying the above to an application example, the observation target is a structure, the observation data X is displacement data, P(X) is a probability distribution calculated from the displacement difference data, the unobserved parameters θ are the structural parameters of the structure (such as the elastic modulus, spring constant, and density of the members), and P(X|θ) is the probability distribution of the displacement difference data of the structure calculated by structural simulation.

[0092] In other words, the MCMC statistical analysis process can obtain the posterior probability distribution of the structural parameters of a structure, making it possible to diagnose the soundness of the structure using this posterior probability distribution. For example, if the average value of the posterior probability distribution of a structural parameter is smaller than the nominal value of the structural parameter, it can be diagnosed as abnormal, or by comparing the posterior probability distributions of the structural parameters of component A and component B, the one that is significantly smaller can be diagnosed as abnormal.

[0093] When performing a structural simulation of the structure 20, displacements corresponding to the respective observation positions included in the observation points 21 are calculated. In this calculation, a structure model that simulates the structural form of the structure 20 is used. Furthermore, in order to make the structure model closer to the state of the structure 20, settings that represent aging deterioration, damage, etc. may be added.

[0094] The structural simulation may be performed, for example, inside the information processing device 10 or in another information processing device provided outside the information processing device 10 .

[0095] Next, the reference displacement calculation unit 11, difference calculation unit 12, and estimation unit 13 of the application example perform the same processing as in the above-mentioned embodiment. The diagnosis unit 14 of the modification diagnoses the soundness of the state of the structure by statistical analysis processing such as MCMC. The contents of the diagnosis are as already explained.

[0096] In addition, if the reference displacement calculation unit 11, the difference calculation unit 12, and the estimation unit 13 estimate multiple probability distributions corresponding to multiple observation positions included in the observation point 21a, the diagnosis unit 14 in the modified example may diagnose the soundness of the structure's condition by statistical analysis processing such as MCMC using the multiple probability distributions.

[0097] Next, the output information generation unit 16 in the modified example generates output information to be used for outputting to the output device 40 the structure of the structure 20 (see FIG. 3 ), or the displacement data measured by each of the observation points 21 (see FIG. 4 ) and a graph of the displacement data (see FIG. 5 ), or the displacement data extracted from each of the observation points 21 (extracted displacement data), reference displacement data (see FIG. 7 ), and a graph of the extracted displacement data (see FIG. 6 ), or a probability distribution (see FIG. 8 ), or a diagnosis result, or two or more of these pieces of information. Then, the output information generation unit 16 outputs the generated output information to the output device 40.

[0098] Furthermore, the output information generation unit 16 of the modified example generates output information used to output to the output device 40 a structural model, or displacement data generated by the simulator and a graph of the displacement data, or extracted displacement data generated by the simulator and a graph of the extracted displacement data, or a probability distribution generated by the simulator, or a diagnostic result, or two or more of these pieces of information.

[0099] By using the fourth modification, it is possible to estimate the degree of deterioration of each component of a structure by selecting the method of structural simulation and the structural parameters to be estimated, which is an advantage that cannot be obtained in the above-described embodiment.

[0100] [Device Operation] Next, the operation of the information processing device in the embodiment will be described with reference to FIG. 11. FIG. 11 is a diagram for explaining an example of the operation of the information processing device. In the following description, the diagram will be referenced as appropriate. Furthermore, in the embodiment, an information processing method is implemented by operating the information processing device. Therefore, the description of the information processing method in the embodiment will be replaced with the description of the operation of the information processing device below.

[0101] As shown in FIG. 11, first, the collection unit 15 collects measurement data (displacement data) measured at a plurality of observation points of the secondary structure (step A1).

[0102] Specifically, in step A1, the collection unit 15 first collects measurement data (displacement data) transmitted via a network using wired communication, wireless communication, or the like from each of the multiple observation points 21a, 21b, and 21c of the multiple sub-structures 20a, 20b, and 20c. Next, in step A1, the collection unit 15 stores the displacement data in the storage device 30. The collection unit 15 adds information indicating the collection time to the measurement data so that the time when the measurement data was collected can be identified.

[0103] Next, the reference displacement calculation unit 11 calculates the reference displacement data based on the displacement data of one or more sub-structures similar to the sub-structure to be evaluated that constitute the target structure, measured during the target period set by the user (step A2).

[0104] Specifically, in step A2, the reference displacement calculation unit 11 first acquires from the storage device 30 multiple displacement data measured using observation points 21b and 21c of sub-structures 20b and 20c similar to the sub-structure 20a to be evaluated, other than the sub-structure 20a to be evaluated that has been previously set.

[0105] Next, in step A2, the reference displacement calculation unit 11 calculates reference displacement data to be used for diagnosing the soundness of each of the acquired displacement data based on the preset calculation conditions (reference displacement calculation process). Next, in step A2, the reference displacement calculation unit 11 stores the reference displacement data in the storage device 30.

[0106] Next, the difference calculation unit 12 calculates displacement difference data using the displacement data of a predetermined portion of the sub-structure to be evaluated (displacement data to be evaluated) and the reference displacement data (step A3).

[0107] Specifically, in step A3, the difference calculation unit 12 first acquires displacement data of the observation point 21a of the structure 20a to be evaluated (displacement data of the evaluation target) and reference displacement data from the storage device 30. Next, in step A3, the difference calculation unit 12 calculates the difference between the displacement data of the evaluation target and the reference displacement data (difference calculation process). Next, in step A3, the difference calculation unit 12 stores displacement difference data for the structure 20a to be evaluated in the storage device 30.

[0108] Next, the estimation unit 13 uses the displacement difference data to calculate the probability distribution of the displacement difference of the sub-structure to be evaluated corresponding to the target period (step A4).

[0109] Specifically, in step A4, the estimation unit 13 first acquires displacement difference data for the structure 20a from the storage device 30. Next, in step A4, the estimation unit 13 estimates a probability distribution using the displacement difference data (probability distribution estimation process). Next, in step A4, the estimation unit 13 stores probability distribution information representing the estimated probability distribution in the storage device 30.

[0110] Next, the diagnosing unit 14 performs statistical analysis processing using the estimated probability distribution, and diagnoses the state soundness of the secondary structure 20 based on the processing results (step A5).

[0111] Specifically, in step A5, the diagnosing unit 14 first acquires probability distribution information of the estimated displacement difference from the storage device 30. Next, in step A5, the diagnosing unit 14 executes statistical analysis processing using the probability distribution information, and determines whether or not the state of the structure 20 is statistically significantly different using the results of the statistical analysis processing. Next, in step A5, the diagnosing unit 14 stores the soundness diagnosis result in the storage device 30.

[0112] Next, the output information generation unit 16 generates output information and outputs the output information to the output device (step A6). Specifically, in step A6, the output information generation unit 16 generates output information to be used for outputting to the output device 40 the structure of the structure 20 (see FIG. 3), or the displacement data measured by each of the observation points 21 (see FIG. 4) and a graph of the displacement data (see FIG. 5), or the extracted displacement data and reference displacement data (see FIG. 7) and a graph of the extracted displacement data (see FIG. 6), or a probability distribution (see FIG. 8), or a diagnosis result, or two or more of these pieces of information. Next, in step A6, the output information generation unit 16 outputs the generated output information to the output device 40.

[0113] [Effects of the embodiment] As described above, according to the embodiment and variants 1 to 4, the difference in displacement between the displacement of the evaluation target and a reference displacement measured from a structure other than the evaluation target, which belongs to a group of multiple structures having similar levels of multiple factors that can affect the behavior of the structure, is used, so that the soundness of the structure can be diagnosed using only the displacement caused by the effects of damage.

[0114] In other words, since the deflection (displacement) of a structure is caused by the combined influence of factors such as damage, temperature, and live load, by using displacements measured from structures other than the evaluation target, in which multiple factors that can affect the behavior of the structure are at the same level, it is possible to calculate only the displacement caused by the influence of damage from the original displacement of the evaluation target. In reality, it is difficult to estimate and remove displacements caused by factors other than damage (temperature and live load) from the original displacement of the evaluation target, but in the embodiment, it is possible to estimate only the displacement caused by the influence of damage and diagnose the soundness of the structure.

[0115] [Program] The program in the embodiment and modifications 1 to 4 may be a program that causes a computer to execute steps A1 to A6 shown in Fig. 11. By installing and executing this program on a computer, it is possible to realize the information processing device and information processing method in the embodiment and modifications 1 to 4. In this case, the processor of the computer functions as the collection unit 15, the reference displacement calculation unit 11, the difference calculation unit 12, the estimation unit 13, the diagnosis unit 14, and the output information generation unit 16 and performs processing.

[0116] The programs in the embodiment and modifications 1 to 4 may be executed by a computer system constructed by a plurality of computers. In this case, for example, each computer may function as any one of the collection unit 15, the reference displacement calculation unit 11, the difference calculation unit 12, the estimation unit 13, the diagnosis unit 14, and the output information generation unit 16.

[0117] [Physical Configuration] Here, a computer that realizes an information processing device by executing a program according to the embodiment and modifications 1 to 4 will be described with reference to Fig. 12. Fig. 12 is a diagram for explaining an example of a computer that realizes an information processing device according to the embodiment and modifications 1 to 4.

[0118] 12 , the computer 110 includes a CPU 111, a main memory 112, a storage device 113, an input interface 114, a display controller 115, a data reader / writer 116, and a communication interface 117. These components are connected to each other via a bus 121 so as to be able to communicate data with each other. Note that the computer 110 may include a GPU or an FPGA in addition to or instead of the CPU 111.

[0119] The CPU 111 loads a program in the embodiment, which is composed of a group of codes and stored in the storage device 113, into the main memory 112 and executes each code in a predetermined order to perform various calculations. The main memory 112 is typically a volatile storage device such as a DRAM (Dynamic Random Access Memory).

[0120] The program in the embodiment is provided in a state stored in a computer-readable recording medium 120. The program in the embodiment may be distributed over the Internet connected via the communication interface 117.

[0121] Specific examples of the storage device 113 include a hard disk drive and a semiconductor storage device such as a flash memory. The input interface 114 mediates data transmission between the CPU 111 and input devices 118 such as a keyboard and a mouse. The display controller 115 is connected to a display device 119 and controls the display on the display device 119.

[0122] The data reader / writer 116 mediates data transmission between the CPU 111 and the recording medium 120, reads programs from the recording medium 120, and writes processing results from the computer 110 to the recording medium 120. The communication interface 117 mediates data transmission between the CPU 111 and other computers.

[0123] Specific examples of the recording medium 120 include general-purpose semiconductor storage devices such as CF (Compact Flash (registered trademark)) and SD (Secure Digital), magnetic recording media such as flexible disks, or optical recording media such as CD-ROMs (Compact Disk Read Only Memory).

[0124] The information processing device 10 in the embodiment can be realized not by a computer on which a program is installed, but by hardware corresponding to each unit, such as an electronic circuit. Furthermore, the information processing device 10 may be partially realized by a program and the remaining unit by hardware. In the embodiment, the computer is not limited to the computer shown in FIG. 12 .

[0125] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

[0126] Some or all of the above-described embodiments can be expressed by (Supplementary Note 1) to (Supplementary Note 15) described below, but are not limited to the following descriptions.

[0127] (Supplementary Note 1) An information processing device having: a reference displacement calculation unit that calculates reference displacement data based on displacement data of one or more sub-structures similar to a sub-structure to be evaluated that constitutes a target structure, measured during a target period; a difference calculation unit that calculates displacement difference data using displacement data of a target portion of the sub-structure to be evaluated and the reference displacement data; an estimation unit that estimates a probability distribution of displacement differences of the sub-structure to be evaluated using the displacement difference data; and a diagnosis unit that performs statistical analysis processing using the estimated probability distribution of displacement differences and diagnoses the soundness of the sub-structure based on the processing results.

[0128] (Supplementary Note 2) The information processing device according to Supplementary Note 1, wherein the reference displacement calculation unit calculates reference displacement data using measurement data for each of the sub-structures as the displacement data.

[0129] (Supplementary Note 3) The information processing device according to Supplementary Note 1, wherein the reference displacement calculation unit calculates the reference displacement data by using a value of a displacement function obtained by curve fitting using the measurement data for each of the sub-structures as the displacement data.

[0130] (Supplementary Note 4) The information processing device according to Supplementary Note 3, wherein the estimation unit estimates, as a probability distribution of the displacement differences, a normal distribution having a mean of the normal distribution, which is a displacement difference calculated using the value of the displacement function and the reference displacement data, and a variance of the normal distribution, which is an unbiased variance of the difference between the measurement data and the value of the displacement function.

[0131] (Supplementary Note 5) The information processing device according to Supplementary Note 1, wherein the statistical analysis process is a Markov Chain Monte Carlo method.

[0132] (Appendix 6) An information processing method in which an information processing device calculates reference displacement data based on displacement data of one or more sub-structures similar to a sub-structure to be evaluated that constitutes a target structure, measured during a target period; calculates displacement difference data using the displacement data of a specific portion of the sub-structure to be evaluated and the reference displacement data; estimates a probability distribution of displacement differences of the sub-structure to be evaluated using the displacement difference data; performs statistical analysis processing using the estimated probability distribution of displacement differences; and diagnoses the soundness of the sub-structure based on the processing results.

[0133] (Supplementary Note 7) The information processing method according to Supplementary Note 6, wherein reference displacement data is calculated using the measurement data for each of the sub-structures as the displacement data.

[0134] (Supplementary Note 8) The information processing method according to Supplementary Note 6, wherein reference displacement data is calculated using a value of a displacement function obtained by curve fitting using the measurement data for each of the sub-structures as the displacement data.

[0135] (Supplementary Note 9) The information processing method according to Supplementary Note 8, wherein the normal distribution having a mean of the normal distribution, which is a displacement difference calculated using the value of the displacement function and the reference displacement data, and a variance of the normal distribution, which is an unbiased variance of the difference between the measurement data and the value of the displacement function, is estimated as a probability distribution of the displacement difference.

[0136] (Supplementary Note 10) The information processing method according to Supplementary Note 6, wherein the statistical analysis process is a Markov Chain Monte Carlo method.

[0137] (Appendix 11) A computer-readable recording medium having recorded thereon a program that causes a computer to: calculate reference displacement data based on displacement data of one or more sub-structures similar to a sub-structure to be evaluated that constitutes a target structure, measured during a target period; calculate displacement difference data using the displacement data of a specific portion of the sub-structure to be evaluated and the reference displacement data; estimate a probability distribution of displacement differences of the sub-structure to be evaluated using the displacement difference data; perform statistical analysis processing using the estimated probability distribution of displacement differences, and diagnose the soundness of the sub-structure based on the processing results.

[0138] (Supplementary Note 12) The computer-readable recording medium according to Supplementary Note 11, wherein reference displacement data is calculated using the measurement data for each of the secondary structures as the displacement data.

[0139] (Supplementary Note 13) The computer-readable recording medium according to Supplementary Note 11, wherein reference displacement data is calculated using a value of a displacement function obtained by curve fitting using the measurement data for each of the sub-structures as the displacement data.

[0140] (Supplementary Note 14) The computer-readable recording medium according to Supplementary Note 13, wherein the normal distribution having a mean of the normal distribution, which is a displacement difference calculated using the value of the displacement function and the reference displacement data, and a variance of the normal distribution, which is an unbiased variance of the difference between the measurement data and the value of the displacement function, is estimated as a probability distribution of the displacement difference.

[0141] (Supplementary Note 15) The computer-readable recording medium according to Supplementary Note 11, wherein the statistical analysis process is a Markov Chain Monte Carlo method.

[0142] Although the present invention has been described above with reference to the embodiments, the present invention is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

[0143] This application claims priority based on Japanese Patent Application No. 2023-064663, filed on April 12, 2023, the disclosure of which is incorporated herein in its entirety by reference.

[0144] According to the above description, it is possible to diagnose the soundness of a structure using displacements caused by the effects of damage that have occurred in the structure to be evaluated, and this is useful in fields where the soundness of a structure needs to be diagnosed.

[0145] 10 Information processing device 11 Reference displacement calculation unit 12 Difference calculation unit 13 Estimation unit 14 Diagnosis unit 15 Collection unit 16 Output information generation unit 20, 20a, 20b, 20c Sub-structure 21, 21a, 21b, 21c Observation point 30 Storage device 40 Output device 100 System 110 Computer 111 CPU 112 Main memory 113 Storage device 114 Input interface 115 Display controller 116 Data reader / writer 117 Communication interface 118 Input device 119 Display device 120 Recording medium 121 Bus

Claims

1. a reference displacement calculation means for calculating reference displacement data based on displacement data of one or more sub-structures similar to the sub-structure to be evaluated that constitutes the target structure, measured during a target period; a difference calculation means for calculating displacement difference data using displacement data of a predetermined portion of the sub-structure of the evaluation object and the reference displacement data; an estimation means for estimating a probability distribution of displacement differences of the sub-structure to be evaluated using the displacement difference data; a diagnostic means for performing a statistical analysis process using the estimated probability distribution of the displacement difference and diagnosing the soundness of the secondary structure based on the process result; An information processing device having the above.

2. the reference displacement calculation means calculates reference displacement data using the measurement data for each of the sub-structures as the displacement data; The information processing device according to claim 1 .

3. the reference displacement calculation means calculates reference displacement data using a value of a displacement function obtained by curve fitting using the measurement data for each of the sub-structures as the displacement data; The information processing device according to claim 1 .

4. the estimation means estimates, as a probability distribution of the displacement differences, a normal distribution having a mean of a normal distribution that is a displacement difference calculated using the value of the displacement function and the reference displacement data, and a variance of the normal distribution that is an unbiased variance of the difference between the measurement data and the value of the displacement function; The information processing device according to claim 3 .

5. The statistical analysis process is a Markov chain Monte Carlo method. The information processing device according to claim 1 .

6. The information processing device Calculating reference displacement data based on displacement data of one or more substructures similar to the substructure being evaluated that constitute the target structure, measured during the target period; calculating displacement difference data using the displacement data of the evaluation target of a predetermined portion of the sub-structure of the evaluation target and the reference displacement data; using the displacement difference data to estimate a probability distribution of displacement differences of the sub-structure to be evaluated; performing a statistical analysis process using the estimated probability distribution of the displacement difference, and diagnosing the soundness of the secondary structure based on the process result; Information processing methods.

7. On the computer, Calculating reference displacement data based on displacement data of one or more sub-structures similar to the sub-structure to be evaluated that constitute the target structure, measured during the target period; calculating displacement difference data using the displacement data of the evaluation target of a predetermined portion of the sub-structure of the evaluation target and the reference displacement data; using the displacement difference data to estimate a probability distribution of displacement differences of the secondary structure to be evaluated; performing a statistical analysis process using the estimated probability distribution of the displacement difference, and diagnosing the soundness of the secondary structure based on the process result; A program containing instructions.