JP7229383B2 - Information processing device, identification method, and identification program - Google Patents

Description

The present disclosure relates to an information processing device, identification method, and identification program.

When drafting a repair work plan for a civil engineering structure, there are cases where the need for repair is determined based on inspection data obtained by inspecting the civil engineering structure.
For example, the civil engineering structure is a bridge. Here, Non-Patent Document 1 describes inspection procedures for bridges in Japan. By inspecting the civil engineering structure, the degree of damage of each of the multiple deformations to the multiple parts is obtained. However, it is not possible to uniquely determine whether repair is necessary based on the degree of damage. The reason is that it is necessary for a highly specialized manager to judge whether or not repair is necessary based on conditions such as structural type, materials, traffic volume, and deterioration rate. In addition, civil engineering structures are installed in various environments. Therefore, it is also difficult to predetermine the judgment procedures and judgment criteria. Thus, it is difficult to determine whether or not repair is necessary.

Therefore, a system for determining the necessity of repair has been proposed (see Patent Document 1). The structure repair construction plan support system of Patent Document 1 constructs a discriminant boundary line using learning data created based on information including a teacher value indicating the necessity of repair. The structure repair work plan support system calculates the necessity of repair work using the discriminant boundary line, and determines the necessity of repair based on the necessity of repair work.

"Bridge Periodic Inspection Guidelines" Ministry of Land, Infrastructure, Transport and Tourism, June 2014 "Road Tunnel Periodic Inspection Guidelines" Ministry of Land, Infrastructure, Transport and Tourism, March 2019

Japanese Patent Application Laid-Open No. 2007-140608

In the system described above, the need for repair is determined by creating learning data. Determination of repair may be considered as identification of repair timing.
Here, the information including the teacher value indicating the necessity of repair is called teacher data. For example, teacher data for creating learning data is created by an administrator. Creating teacher data increases the burden on administrators. Therefore, it is desirable to specify repair timing without creating training data. However, the problem is how to identify the repair timing without creating training data.

An object of the present disclosure is to identify repair timing without creating teacher data.

An information processing device according to one aspect of the present disclosure is provided. and inspection result information indicating a plurality of degrees of damage corresponding to a plurality of deformations of a plurality of portions of a civil engineering structure inspected in the past and a plurality of service periods corresponding to the plurality of portions. , repair determination information indicating whether to repair according to the combination of damage degrees of each of the plurality of deformations , and an existence probability matrix indicating the probability that each of the plurality of deformations will be in the state in the future service period. an acquisition unit that acquires information and information of a first transition probability matrix that indicates the probability that each state of the plurality of combinations will transition to another combination state in the future service period, and based on the inspection result information a calculation unit for calculating a second transition probability matrix obtained by adjusting the first transition probability matrix; and based on the second transition probability matrix and the existence probability matrix, each of the plurality of deformities a generating unit that generates first prediction information indicating the degree of damage in a future service period in the building, and a specifying unit that specifies repair timing based on the repair determination information and the first prediction information .

According to the present disclosure, repair timing can be identified without creating teaching data.

2 is a functional block diagram showing the configuration of the information processing device according to Embodiment 1; FIG. 2 illustrates a hardware configuration of the information processing apparatus according to the first embodiment; FIG. 4 is a diagram showing an example of inspection result information according to Embodiment 1; FIG. 4A and 4B are diagrams showing examples of repair determination information according to Embodiment 1; FIG. 4 is a diagram showing an example of repair method information according to Embodiment 1; FIG. 4 is a flow chart showing an example of processing executed by the information processing apparatus according to the first embodiment; 4A and 4B are diagrams for explaining a method of calculating a plurality of approximation functions according to the first embodiment; FIG. FIG. 5 is a diagram showing an example of correcting the approximation function of Embodiment 1; 4A and 4B are diagrams for explaining a method of specifying a correspondence relationship between service years and future damage degrees according to Embodiment 1; FIG. 4 is a diagram showing an example of prediction information according to Embodiment 1; FIG. 4 is a diagram showing an example of repair plan information according to Embodiment 1; FIG. 3 is a functional block diagram showing the configuration of an information processing device according to a second embodiment; FIG. FIG. 10 is a diagram showing an example of repair determination information according to the second embodiment; FIG. FIG. 10 is a diagram showing an existence probability matrix N(x) according to Embodiment 2; FIG. 10 is a diagram showing a transition probability matrix M according to Embodiment 2; FIG. FIG. 10 is a diagram showing transition directions according to the second embodiment; FIG. 10 is a diagram showing a transition probability matrix M in consideration of transition directions according to Embodiment 2; 10 is a flow chart showing an example of processing executed by the information processing apparatus according to the second embodiment; FIG. 10 is a diagram showing an example of a tallying method according to the second embodiment; FIG. FIG. 10 is a diagram showing prediction information according to Embodiment 2; FIG. FIG. 11 is a functional block diagram showing the configuration of an information processing apparatus according to Embodiment 3; FIG. 13 is a diagram showing an example of plan information according to Embodiment 3; FIG. 10 is a flow chart showing an example of processing executed by the information processing apparatus according to the third embodiment; FIG. 11 is a functional block diagram showing the configuration of an information processing device according to a fourth embodiment; FIG. FIG. 12 is a diagram showing an example of inspection result information according to Embodiment 4; FIG. 12 is a diagram showing an example of conversion information according to the fourth embodiment; FIG. FIG. 13 is a diagram showing an example of prediction information and repair determination information according to Embodiment 4;

Embodiments will be described below with reference to the drawings. The following embodiments are merely examples, and various modifications are possible within the scope of the present disclosure. Also, in the following description, the civil engineering structure is assumed to be a concrete bridge. However, civil engineering structures may also be steel bridges, tunnels, paved surfaces, and the like.

Embodiment 1.
FIG. 1 is a functional block diagram showing the configuration of an information processing apparatus according to Embodiment 1. FIG. The information processing device 100 is a device that executes an identification method. The information processing apparatus 100 has a storage unit 110 , an acquisition unit 120 , a calculation unit 130 , a generation unit 140 , an identification unit 150 and an output unit 160 .

Here, hardware included in the information processing apparatus 100 will be described.
FIG. 2 illustrates a hardware configuration of the information processing apparatus according to the first embodiment. The information processing device 100 has a processor 101 , a volatile memory device 102 and a nonvolatile memory device 103 .

The processor 101 controls the information processing apparatus 100 as a whole. For example, the processor 101 is a CPU (Central Processing Unit) or an FPGA (Field Programmable Gate Array). Processor 101 may be a multiprocessor. The information processing device 100 may be implemented by processing circuitry, or may be implemented by software, firmware, or a combination thereof. It should be noted that the processing circuit may be a single circuit or multiple circuits.

The volatile memory device 102 is the main memory device of the information processing device 100 . For example, the volatile memory device 102 is RAM (Random Access Memory). The nonvolatile storage device 103 is an auxiliary storage device of the information processing device 100 . For example, the nonvolatile memory device 103 is a HDD (Hard Disk Drive) or an SSD (Solid State Drive).

Returning to FIG. 1, functional blocks of the information processing apparatus 100 will be described.
The storage unit 110 may be implemented as a storage area secured in the volatile storage device 102 or the nonvolatile storage device 103 .
A part or all of the acquisition unit 120 , the calculation unit 130 , the generation unit 140 , the identification unit 150 and the output unit 160 may be realized by the processor 101 . Some or all of the acquisition unit 120, the calculation unit 130, the generation unit 140, the identification unit 150, and the output unit 160 may be implemented as modules of a program executed by the processor 101. FIG. For example, a program executed by the processor 101 is also called a specific program. For example, the specific program is recorded on a recording medium.

The storage unit 110 stores inspection result information 111 , repair determination information 112 , and repair method information 113 . The inspection result information 111 may be called an inspection result database. The repair determination information 112 may be called a repair determination database. The repair method information 113 may be called a repair method database. First, the inspection result information 111 will be explained.

FIG. 3 is a diagram showing an example of inspection result information according to the first embodiment. The inspection result information 111 indicates a plurality of degrees of damage corresponding to a plurality of deformations of a plurality of portions of the civil engineering structure inspected in the past, and a plurality of service periods corresponding to the plurality of portions. In addition, the inspection result information 111 indicates a plurality of degrees of damage corresponding to a plurality of deformations of a plurality of portions of a plurality of civil engineering structures inspected in the past, and a plurality of in-service periods corresponding to the plurality of portions. may

Specifically, the inspection result information 111 has items of construction year, inspection year, years in service, management number, part, and degree of damage for each deformation.
The construction year item indicates the construction year. The inspection year item indicates the year of inspection. The service years item indicates the period from the construction year to the inspection implementation year when the inspection was performed. The service years item may be changed to the service months item or the service days item. Here, service years, service months, or service days are also referred to as service period.

The control number item indicates the identifier of the inspected part. The item of management number may also include a span identifier. The part item indicates the name of the inspected part.
The damage degree item for each deformation indicates the inspection result. FIG. 3 shows cracks and exposed rebar exfoliation as examples of deformation. For example, the deformation may be float, corrosion, or the like. The degree of damage is represented by the degree of damage described on page 2 of Appendix-1 of Non-Patent Document 1. That is, the degree of damage is expressed in five stages from a to e. The method of expressing the degree of damage is not limited to this. For example, the degree of damage may be expressed numerically. Also, for example, the degree of damage may be a classification of the degree of damage obtained by using various sensors, camera images, and image processing techniques.

For example, the inspection result information 111 indicates that the portion “floor slab” corresponding to the management number “1001-1” was inspected in 2015. The inspection result information 111 indicates that the crack damage degree is b and the exfoliated reinforcing bar exposure damage degree is a as the inspection result.

Also, the inspection result may include specification data. The specification data are design information of civil engineering structures, environment information, and the like. For example, the specification data includes bridge length, width, material, structure type, salt damage environment classification, crossings, traffic volume, and the like. Also, the specification data may not be included in the inspection results. That is, the specification data may be stored in the storage unit 110 as independent data. Moreover, the specification data may have a correspondence relationship with the civil engineering structure. The information processing apparatus 100 also has a function of searching for information in the inspection result information 111 using specification data as a search condition, and a function of extracting information that matches the search condition from the inspection result information 111. You may

Next, the repair determination information 112 will be explained.
4A and 4B are diagrams showing examples of repair determination information according to the first embodiment. The repair determination information 112 indicates whether or not to repair according to the combination of damage degrees of each of the plurality of deformations. The repair determination information 112 may be expressed as follows. The repair determination information 112 indicates whether or not to repair the target portion according to the combination of the damage degrees of the plurality of deformations. Specifically, the repair determination information 112 of FIG. 4(A) indicates the correspondence relationship between the degree of crack damage and the degree of exposure damage of the exfoliated rebar. That is, the repair determination information 112 of FIG. 4 indicates the correspondence relationship between the damage degrees of the two deformations. The repair determination information 112 may indicate a correspondence relationship of damage degrees of three or more deformations.

The repair determination information 112 indicates whether or not to repair according to the combination of the damage degrees of the two deformations. For example, when the crack damage degree is a and the exfoliated reinforcing bar exposure damage degree is c, the repair determination information 112 indicates that repair is unnecessary. Further, for example, when the crack damage degree is e and the exfoliated reinforcing bar exposure damage degree is a, the repair determination information 112 indicates that repair is necessary.

The information processing apparatus 100 can use the repair determination information 112 to determine whether repair is necessary. That is, the information processing apparatus 100 can determine whether repair is necessary based on the correspondence relationship between the damage degrees of the two deformations.
Note that the repair determination information 112 is created in advance. For example, a highly specialized manager uses a computer to create repair determination information 112 . Also, for example, the manager creates the repair determination information 112 in consideration of knowledge of the deterioration process based on the type of civil engineering structure, structural type, material characteristics, etc., and the purpose of creating a repair plan.

Here, the repair determination information 112 may be called a repair determination matrix. Therefore, the repair determination information 112 may be considered to include a plurality of cells.
Repair determination information may exist for each civil engineering structure. For example, if the civil engineering structure is a steel bridge, the repair determination information indicates the correspondence relationship between the degree of damage caused by deterioration and the degree of damage caused by corrosion. Further, for example, when the civil engineering structure is a concrete wall surface, the repair determination information indicates the correspondence relationship between the damage level of cracks and the damage level of water leakage.

In the repair determination information for each civil engineering structure, the necessity of repair may differ depending on conditions such as the structural type of the civil engineering structure, the materials used, and the environment of use. For example, FIG. 4B shows repair determination information 112a of an overpass that may cause damage to a third party due to falling concrete pieces due to exposure of exfoliated reinforcing bars. The repair determination information 112a indicates that even if the degree of exposure damage to the exfoliated rebar is small, it is to be repaired if cracks are present.

Next, the repair method information 113 will be explained.
FIG. 5 is a diagram showing an example of repair method information according to the first embodiment. The repair method information 113 indicates the repair method at the repair timing. Specifically, the repair method information 113 of FIG. 5 indicates the correspondence relationship between the crack damage degree and the exfoliated reinforcing bar exposure damage degree. The repair method information 113 may be called a repair method matrix. Therefore, the repair method information 113 may be considered to include a plurality of cells.

For example, when the crack damage degree is a and the exfoliated reinforcing bar exposure damage degree is c, the repair determination information 112 indicates that repair is unnecessary, so the repair method information 113 does not indicate a repair method. Further, for example, when the crack damage degree is e and the exfoliated reinforcing bar exposure damage degree is a, the crack progresses, so the repair method information 113 indicates the crack injection method. Further, for example, when the crack damage degree is e and the exfoliated reinforcing bar exposure damage degree is e, cracking and exfoliated reinforcing bar exposure are progressing, so the repair method information 113 indicates replacement.

Each repair method indicated by the repair method information 113 may be associated with information such as a repair unit price, a repair effect, and a required period. For example, for a repair effect associated with a repair method corresponding to a crack damage degree of e and a peeled reinforcing bar exposed damage It is shown to return to the state where the degree is a.
Moreover, each cell indicated by the repair method information 113 may indicate a plurality of methods having different effects. The information processing device 100 may select one repair method from among a plurality of methods.

Acquisition unit 120 acquires inspection result information 111 , repair determination information 112 , and repair method information 113 . For example, the acquisition unit 120 acquires the inspection result information 111 , the repair determination information 112 and the repair method information 113 from the storage unit 110 . Here, for example, the inspection result information 111, the repair determination information 112, and the repair method information 113 may be stored in an external device such as a cloud server. When the inspection result information 111, the repair determination information 112, and the repair method information 113 are stored in the external device, the acquisition unit 120 acquires the inspection result information 111, the repair determination information 112, and the repair method information 113 from the external device. get.

The function of the calculator 130 will be described later.
The generation unit 140 generates prediction information using information for deriving the degree of damage in the future service period for each of the plurality of deformations obtained based on the inspection result information 111 . In addition, the prediction information indicates the degree of damage in each of the plurality of deformations in the future service period. The generated prediction information is also called first prediction information.

The specifying unit 150 specifies repair timing based on the repair determination information 112 and the prediction information. The identifying unit 150 also identifies the repair method at the repair timing based on the repair method information 113 .
The output unit 160 outputs information indicating repair timing.

Next, processing executed by the information processing apparatus 100 will be described using a flowchart.
6 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the first embodiment; FIG.
(Step S<b>11 ) Acquisition unit 120 acquires inspection result information 111 from storage unit 110 .
(Step S12) The calculation unit 130 calculates a plurality of approximation functions based on a plurality of service years and a plurality of damage degrees corresponding to a plurality of deformations included in the inspection result information 111 . Here, the multiple approximation functions are also referred to as deterioration models. Also, the plurality of approximation functions may be considered as information for deriving the degree of damage in each of the plurality of deformations in the future service period, which is obtained based on the inspection result information 111 . A method for calculating a plurality of approximation functions will be specifically described.

FIGS. 7A and 7B are diagrams for explaining a method of calculating a plurality of approximation functions according to Embodiment 1. FIG. The vertical axis of FIG. 7A indicates the degree of crack damage. For convenience of explanation, the vertical axis in FIG. 7A indicates a to e. However, the vertical axis of FIG. 7(A) may be modified to 1-5. The horizontal axis of FIG. 7(A) indicates the service years.

FIG. 7A shows the correspondence relationship between service years and crack damage degrees included in the inspection result information 111 . That is, each point in FIG. 7(A) corresponds to each record of the inspection result information 111 . The calculator 130 calculates an approximation function that approximates each point. The calculator 130 may calculate the approximation function using a known technique. For example, the calculator 130 calculates a first-order approximation straight line by least-squares approximation.

The vertical axis of FIG. 7(B) indicates the degree of exposing damage to the exfoliated rebar. For convenience of explanation, the vertical axis in FIG. 7B indicates a to e. However, the vertical axis of FIG. 7(B) may be modified to 1-5. The horizontal axis of FIG. 7(B) indicates the number of service years. FIG. 7(B) shows the correspondence relationship between the years of service and the degree of exposure damage to exfoliated reinforcing bars included in the inspection result information 111 . That is, each point in FIG. 7(B) corresponds to each record of the inspection result information 111 . The calculator 130 calculates an approximation function that approximates each point.

In this way, the calculator 130 calculates Equation (1) based on the years of service and the degree of crack damage included in the inspection result information 111 . Note that x indicates the number of years in service. y1 indicates the degree of crack damage.

Further, the calculation unit 130 calculates Expression (2) based on the years of service and the degree of exposure damage to the exfoliated reinforcing bars included in the inspection result information 111 . In addition, y2 shows a peeling reinforcing-bar exposure damage degree.

Further, the calculation unit 130 may correct the approximate function so that the approximate function exists on the points.

FIG. 8 is a diagram showing an example of correcting the approximation function according to the first embodiment. Calculation unit 130 corrects at least one of the slope and intercept of equation (1) so that equation (1) exists on a point.

Before executing the next process, the acquisition unit 120 may acquire information indicating the civil engineering structure that is the target of the following process. For example, the acquisition unit 120 acquires the information through a user's input operation. Further, the information processing device 100 may execute the following process in the order of the management numbers included in the inspection result information 111 . In the following description, a case will be described in which processing is performed in order of management number.

(Step S13) The generator 140 generates prediction information based on a plurality of approximation functions. A method for generating prediction information will be specifically described.
First, the generation unit 140 uses a plurality of approximation functions to identify the correspondence relationship between service years and future damage degrees.

FIGS. 9A and 9B are diagrams for explaining a method of specifying a correspondence relationship between service years and future damage degrees according to the first embodiment. FIG. 9(A) is a diagram for explaining a method of specifying a correspondence relationship between service years and future crack damage degrees. The generation unit 140 identifies the correspondence relationship between the service years and future crack damage degrees using the formula (1).

FIG. 9(B) is a diagram for explaining a method of specifying a correspondence relationship between the number of years in service and the degree of future exfoliated reinforcing bar exposure damage. The generating unit 140 uses Equation (2) to identify the correspondence relationship between the years of service and the future exfoliated reinforcing bar exposure damage degree.

As indicated by the dotted lines in FIGS. 9A and 9B, the generation unit 140 may round up, round off, or the like, and determine the damage degree categories obtained by the approximate straight line into one category. For example, in the case of FIG. 9B, service years "25" to "40" are determined as the degree of damage a.

In this way, the generation unit 140 uses a plurality of approximation functions to identify the correspondence relationship between service years and future damage degrees. The generation unit 140 generates prediction information using the correspondence relationship between the service years and future damage degrees.

10 is a diagram showing an example of prediction information according to Embodiment 1. FIG. The prediction information 200 has items of management number, fiscal year, years of service, degree of crack damage, and degree of exfoliated reinforcing bar exposure damage. In addition, the item of service years may be expressed as a future service period.
The prediction information 200 indicates the degree of future damage of the part with the management number "1001-1". The prediction information 200 indicates the degree of damage every five years. However, the forecast information 200 may indicate the degree of damage for each year. The number of service years in the forecast information 200 indicates the degree of damage up to the year obtained by subtracting the current year from the final year of the plan (for example, 2070), with the current year (2015 in FIG. 10) written as 0 years. good too.

(Step S<b>14 ) The specifying unit 150 specifies repair timing based on the repair determination information 112 and the prediction information 200 . For example, the specifying unit 150 specifies that 2035 is the repair timing based on the repair determination information 112 and the prediction information 200 .

(Step S<b>15 ) The identifying unit 150 identifies a repair method based on the crack damage level, the exfoliated reinforcing bar exposure damage level, and the repair method information 113 at the repair timing. For example, the identification unit 150 identifies the cross-section repair (small) based on the crack damage degree “c” and the exfoliated reinforcing bar exposure damage degree “c” in 2035 and the repair method information 113 .
Thus, the information processing apparatus 100 can identify the repair method at the repair timing by using the repair method information 113 .
(Step S<b>16 ) The generation unit 140 generates repair plan information based on the information identified by the identification unit 150 . Here, repair plan information is exemplified.

11 is a diagram showing an example of repair plan information according to Embodiment 1. FIG. The repair plan information 210 has items of management number, year of repair, part, repair method, repair cost, degree of damage to cracks when performing repair, and degree of exposure damage to exfoliated reinforcing bars when performing repair. The repair plan information 210 in FIG. 11 indicates that the repair timing for the part with the management number “1001-1” is 2035.

When information such as repair unit price, repair effect, required period, etc. is associated with each repair method indicated by the repair method information 113, the generation unit 140 may include the repair cost, required period, etc. in the repair plan information 210. good. In other words, when the repair method at the repair timing indicated by the repair method information 113 is associated with information for calculating the repair cost, the generation unit 140 may include the repair cost and the like in the repair plan information 210. . Moreover, the cost is not limited to the repair cost. For example, if the facility continues to be in service with damage, costs for countermeasures, compensation for damage, etc. may be incurred based on the magnitude and probability of damage that may be caused by the damage.

A method for calculating repair costs will be explained. The calculator 130 calculates the repair cost based on the information for calculating the repair cost. Specifically, the calculator 130 calculates the repair cost using Equation (3).

Note that, for example, the repair unit price is the cost required for repair per square meter. The quantity is the number of items to be repaired per square meter. The repair unit price may include expenses such as construction of scaffolding. The quantity may be an area (= width x length of the civil engineering structure). When information indicating the ratio of damage to the area of the civil engineering structure is stored in the storage unit 110, the generation unit 140 may multiply the quantity by the ratio.

(Step S<b>17 ) The output unit 160 outputs the repair plan information 210 . For example, the output unit 160 outputs the repair plan information 210 to the display. Also, for example, the output unit 160 outputs the repair plan information 210 to an external device connectable to the information processing device 100 . Also, for example, the output unit 160 outputs the repair plan information 210 to a paper medium via a printer.
In this way, the information processing apparatus 100 can notify the user of the repair timing by outputting the repair plan information 210 . Further, when the repair cost is calculated, the information processing apparatus 100 can also notify the user of the repair cost.

Thus, according to the first embodiment, the information processing apparatus 100 can identify repair timing without creating teacher data.
In addition, the information processing apparatus 100 may specify the timing and repair method for repairing future re-deterioration after the repair is performed using the above technology. Furthermore, when the deterioration rate before repair differs from the deterioration rate after repair, the information processing apparatus 100 may adjust the parameters of the deterioration model.

Embodiment 2.
Next, Embodiment 2 will be described. In Embodiment 2, mainly matters different from Embodiment 1 will be described. In the second embodiment, descriptions of items common to the first embodiment are omitted. Embodiment 2 refers to FIGS.
FIG. 12 is a functional block diagram showing the configuration of the information processing device according to the second embodiment. 12 that are the same as those shown in FIG. 1 are assigned the same reference numerals as those shown in FIG. The information processing device 100a has a calculation unit 130a, a generation unit 140a, and an identification unit 150a. Functions of the calculation unit 130a, the generation unit 140a, and the identification unit 150a will be described later.

FIG. 13 is a diagram showing an example of repair determination information according to the second embodiment. The repair determination information 112 of Embodiment 2 may be called a deformation matrix. It may be considered that the repair determination information 112 includes a plurality of cells. In FIG. 13, the contents indicated by the repair determination information 112 are omitted.
Here, for example, the cell indicating the correspondence relationship between the degree of crack damage and the degree of exposure damage of the peeled rebar is expressed as (a, a).

Next, the existence probability will be explained. The existence probability is the probability of existing in a certain cell after x years. For example, the existence probability of existing at (c, c) after x+1 years is expressed using equation (4).

P indicates the existence probability. The "cc" in P(cc, x+1) is a shorthand for (c, c). Also, "cc" in P(cc, x+1) indicates a state. "x+1" in P(cc, x+1) indicates the year. Thus, for example, P(cc, x+1) indicates the existence probability of existing at (c, c) after x+1 years. Also, for example, P(ca, x) indicates the existence probability of existing at (c, a) after x years.

p indicates the transition probability. Transition probability is the probability of transitioning to an adjacent cell. "cc" in p(cc, dc) indicates the transition source state. "dc" in p(cc, dc) indicates the transition destination state. Thus, for example, p(cc, dc) indicates the probability of transitioning from (c, c) to (d, c). Also, for example, p(cc, ce) indicates the probability of transition from (c, c) to (c, e).

Next, the existence probability matrix N(x), which is a set of existence probabilities of each cell of the deformation matrix in x years, will be explained. The existence probability matrix N(x) indicates the probability of being in each state of a plurality of combinations of damage degrees of each of a plurality of deformations in the future service period. The existence probability matrix N(x) may be expressed as follows. The existence probability matrix N(x) indicates the probability that the state of each of the plurality of combinations of damage degrees of each of the plurality of deformations will not change without transition in the future service period. Existence probability matrix N(x) is specifically shown.

14 is a diagram showing an existence probability matrix N(x) according to Embodiment 2. FIG.
Next, the transition probability matrix M, which is a set of state transition probabilities corresponding to each cell of the deformation matrix, will be described. The transition probability matrix M indicates the probability that each state of a plurality of combinations of damage degrees of each of a plurality of deformations will transition to another combination of states in the future service period. The transition probability matrix M is specifically shown.

FIG. 15 is a diagram showing a transition probability matrix M according to Embodiment 2. FIG.
The existence probability matrix N(x+1) for year x+1 is expressed using the existence probability matrix N(x) and the transition probability matrix M as shown in Equation (5).

By transforming equation (5), equation (6) is obtained. Equation (6) may be expressed as a degradation model.

Thus, by using the initial values of the transition probability matrix and the existence probability matrix, the existence probability matrix for any number of service years can be calculated.
Here, in general, damage does not recover naturally unless it is repaired. Therefore, the transition direction in the deformation matrix is fixed.

FIG. 16 is a diagram showing transition directions according to the second embodiment. As shown in FIG. 16, the transition direction is fixed. Therefore, a transition probability matrix M considering the transition directions shown in FIG. 16 is shown.

FIG. 17 is a diagram showing a transition probability matrix M considering transition directions according to the second embodiment. For example, for p(ac, aa) in FIG. 15, the state does not transition from (a, c) to (a, a). Therefore, p(ac, aa) in FIG. 17 becomes zero.
Thus, the transition probability matrix M takes transition directions into account. Therefore, the transition probability matrix M can be expressed as follows. The transition probability matrix M defines the direction in which each state of a plurality of combinations of damage degrees of each of the plurality of deformations transitions, and the state of each of the plurality of combinations will change to another combination in the future service period. indicates the probability of transitioning to the state of

It should be noted that the degradation model may be assumed to preserve Markovian properties, which is the property that future behavior is determined only by current values and is not related to past behavior. That is, the deterioration model can use the transition probability matrix M regardless of the service years.

Information on the existence probability matrix N(x) and information on the transition probability matrix M are stored in the storage unit 110 . Information on the existence probability matrix N(x) and information on the transition probability matrix M may be stored in an external device such as a cloud server.

Next, processing executed by the information processing device 100a will be described using a flowchart.
18 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the second embodiment; FIG.
(Step S<b>21 ) Acquisition unit 120 acquires inspection result information 111 from storage unit 110 . Acquisition section 120 also acquires information on existence probability matrix N(x) and information on transition probability matrix M from storage section 110 . Here, the transition probability matrix M is also called a first transition probability matrix.
(Step S22) The calculation unit 130a aggregates the combinations of the degree of crack damage and the degree of exposure damage of the peeled rebar for each predetermined period. Here is an example of aggregation.

19A and 19B are diagrams illustrating an example of a counting method according to the second embodiment. The summary table 300 shows the relationship between the combination of the degree of cracking damage and the degree of exposure damage of the peeled rebar and the unit of time. The period unit in FIG. 19 is five years. The reason is that inspections are carried out every five years. The term unit is not limited to five years.
The calculation unit 130a calculates the ratio based on the number of cases so that the total in the horizontal direction becomes 1 for each period unit. For example, when the number of service years is 0 to 5 years, the ratio of the number of combinations of the degree of crack damage “a” and the degree of exposed damage “a” of the peeled rebar is 0.8.

The calculation unit 130a may increase the number of records in the inspection result information 111, and aggregate the combinations of the degree of crack damage and the degree of exposure damage of the peeled rebar on a period-by-period basis. For example, the calculation unit 130a duplicates 10 records with the management number “1001-1”. The calculation unit 130a executes the aggregation process including the duplicated records.

(Step S<b>23 ) The calculation unit 130 a calculates the transition probability matrix M by adjusting the transition probability matrix M based on the inspection result information 111 . Specifically, calculation unit 130a calculates transition probability matrix M adjust the value of Note that the transition probability matrix M is the transition probability matrix M in FIG.

For example, the calculation unit 130a can adjust the values of the transition probability matrix M using matrix operations and operation libraries. Further, for example, the calculation unit 130a can adjust the value of the transition probability matrix M by minimizing the sum of squared errors using the least squares method under the constraint conditions. Note that, for example, the constraint conditions are "each transition probability is 0 or more and 1 or less, the transition probability in the direction that does not allow the transition is 0, and the sum of the probability of transition from a certain cell and the probability of remaining is 1". is.

The values of the transition probability matrix M may also be adjusted by a solver, a function provided in Microsoft® Excel. For example, using a solver, the values of the transition probability matrix M are adjusted such that the least squares error is minimized.

Here, the adjusted transition probability matrix M is also called a second transition probability matrix. Also, the adjusted transition probability matrix M may be considered as information for deriving the degree of damage in the future service period for each of the plurality of deformations obtained based on the inspection result information 111 .

(Step S24) The calculation unit 130a calculates the existence probability for each years of service using Expression (7). Note that M in Equation (7) is the transition probability matrix adjusted in step S23. Also, x(0) indicates the current year. That is, x(0) indicates the year in which the process of step S24 is executed. Therefore, N(x(0)) indicates the current existence probability matrix.

(Step S25) The generator 140a generates prediction information. An example of predictive information is shown.
20 is a diagram showing prediction information according to Embodiment 2. FIG. The prediction information 310 is information indicating the calculation result of the calculator 130a. The years in service may indicate the degree of damage from year 0 to the year obtained by subtracting the current year from the final year of the plan, with the current year as 0 years.
Thus, generation section 140a generates prediction information 310 based on adjusted transition probability matrix M and existence probability matrix N(x).

(Step S26) The identifying unit 150a uses the prediction information 310 to identify the state for each service year. For example, the identifying unit 150a identifies the maximum value state. For example, the identifying unit 150a identifies the maximum value (d, c) for the number of service years of “35 years”.
Further, when the maximum value is equal to or greater than the threshold, the identifying unit 150a may identify the state of the maximum value. Furthermore, the identifying unit 150a may identify the state based on the mean value or median value of the existence probability matrix.

(Step S<b>27 ) The specifying unit 150 a specifies repair timing based on the repair determination information 112 and the prediction information 310 . For example, based on the repair determination information 112 and the prediction information 310, the specifying unit 150a specifies that the number of service years “35 years” is the repair timing.
(Step S28) The identifying unit 150a identifies a repair method based on the crack damage level, the exfoliated reinforcing bar exposure damage level, and the repair method information 113 at the repair timing.

(Step S29) The generating unit 140a generates the repair plan information 210 based on the information specified by the specifying unit 150a.
(Step S<b>30 ) The output unit 160 outputs the repair plan information 210 .

Here, for example, the administrator may refer to the prediction information 310 and create the repair determination information 112 and the repair method information 113 using a computer. For example, in an environment where the rightward transition probability is high and damage due to exposure of peeled reinforcing bars must be suppressed, the administrator creates repair determination information 112 indicating that minor damage needs repair. Also, for example, the administrator refers to the prediction information 310 to create the repair determination information 112 for suppressing the rapid progression of exposing the peeled reinforcing bars. Further, for example, there are civil engineering structures in which once damage occurs, the rate of progress of deterioration remarkably increases. The administrator may refer to the prediction information 310 to create the repair determination information 112 corresponding to the civil engineering structure.
The progress rate of deterioration of each of the plurality of deformations varies depending on the difference in deterioration factors of the civil engineering structure. Therefore, the administrator may create the repair determination information 112 and the repair method information 113 in consideration of the progress speed of deterioration of each of the plurality of deformations.

Further, for example, the output unit 160 may output that fatigue of the concrete is high when the downward transition probability is high. Further, for example, the output unit 160 may output that the influence of the alkali-aggregate reaction is large when the rightward transition probability is high.

Thus, according to the second embodiment, the information processing device 100a can specify repair timing without creating teaching data.
The transition probability matrix M takes transition directions into account. By using the transition probability matrix M, the information processing device 100a can generate the repair plan information 210 that is highly effective in preventive maintenance.

Further, the calculation unit 130a may multiply the value of each cell of the existence probability matrix N(x) by the number of civil engineering structures. Then, the output unit 160 may output the number of structures present in each cell as the deterioration state prediction result. Thereby, the user can recognize the number of civil engineering structures that require repair in an arbitrary service life by referring to the deterioration state prediction result.

In addition, the generation unit 140a includes in the repair plan information 210 the repair cost obtained by multiplying the average value of the width and length of a plurality of civil engineering structures by the repair unit price associated with the repair method information 113. good too.

Embodiment 3.
Next, Embodiment 3 will be described. In the third embodiment, mainly matters different from the first embodiment will be described. In the third embodiment, descriptions of matters common to the first embodiment are omitted. Embodiment 3 refers to FIGS. 1-20.
FIG. 21 is a functional block diagram showing the configuration of the information processing device according to the third embodiment. 21 that are the same as those shown in FIG. 1 are assigned the same reference numerals as those shown in FIG. The information processing device 100b has a generation unit 140b, a specification unit 150b, and an output unit 160b. Functions of the generation unit 140b, the identification unit 150b, and the output unit 160b will be described later.

In Embodiments 1 and 2, repair timing is specified. In Embodiment 3, the generation unit 140b generates plan information indicating a plan up to the end year of the plan period, regardless of the presence or absence of repair. Therefore, based on the repair determination information 112 and the prediction information, the identifying unit 150b identifies whether or not to perform repairs in the future service period within a predetermined period. It should be noted that the predetermined period is the above planned period. Further, the information indicating whether or not to repair in the future service period within the period is plan information. Example plan information.

22 is a diagram showing an example of plan information according to Embodiment 3. FIG. Plan information 400 may be referred to as a repair plan primary list. The plan information 400 in FIG. 22 indicates the plan of management number "1001-1".
For example, the generation unit 140b generates the plan information 400 based on the prediction information 200, the repair determination information 112, and the repair method information 113. FIG. Also, for example, the generation unit 140b generates the plan information 400 based on the prediction information 310, the repair determination information 112, and the repair method information 113. FIG.

Next, processing executed by the information processing device 100b will be described using a flowchart.
23 is a flowchart illustrating an example of processing executed by the information processing apparatus according to the third embodiment; FIG.
(Step S31) The generator 140b generates plan information of a plurality of civil engineering structures. The generation method is as described above. The generation unit 140b stores plan information of a plurality of civil engineering structures in the storage unit 110. FIG.

(Step S32) The identifying unit 150b acquires plan information of one civil engineering structure. The specifying unit 150b uses the plan information to specify the repair timing when a predetermined constraint condition is satisfied and the life cycle cost in the plan period is minimized by the objective function. For example, the constraints are the upper limit of budget per year, the upper limit of allowable degree of damage, and the like. Further, as an arithmetic algorithm for specifying, the specifying unit 150b may use an optimization method such as a steepest descent method or a genetic algorithm.
The identifying unit 150b similarly identifies repair timings for all civil engineering structures.
(Step S33) The output unit 160b outputs repair timings for all civil engineering structures.

According to the third embodiment, the information processing device 100b can specify the repair timing considering the constraint. For example, in Embodiment 1, 2035 was identified as the repair timing. However, in Embodiment 3, the year after 2035 is specified as the repair timing by considering the constraint conditions.

Embodiment 4.
Next, Embodiment 4 will be described. In Embodiment 4, mainly matters different from Embodiments 1 to 3 will be described. In the fourth embodiment, descriptions of matters common to the first to third embodiments are omitted. Embodiment 4 refers to FIGS. 1-23.

FIG. 24 is a functional block diagram showing the configuration of the information processing device according to the fourth embodiment. 24 that are the same as those shown in FIG. 1 are assigned the same reference numerals as those shown in FIG. The information processing device 100c includes a storage unit 110c, an acquisition unit 120c, a calculation unit 130c, a generation unit 140c, a specification unit 150c, and a conversion unit 170.

Part or all of the acquisition unit 120c, the calculation unit 130c, the generation unit 140c, the identification unit 150c, and the conversion unit 170 may be implemented by the processor 101 or processing circuitry. Some or all of the acquisition unit 120c, the calculation unit 130c, the generation unit 140c, the identification unit 150c, and the conversion unit 170 may be implemented as modules of a program executed by the processor 101. FIG.

The storage unit 110c may store the repair determination information 112c. The repair determination information 112c will be exemplified later.
The storage unit 110 c may store conversion information 114 . Details of the conversion information 114 will be described later. Note that the conversion information 114 may be called a conversion database.

The acquisition unit 120 c acquires the conversion information 114 . For example, the acquisition unit 120c acquires the conversion information 114 from the storage unit 110c. Here, the conversion information 114 may be stored in an external device. When the conversion information 114 is stored in the external device, the obtaining unit 120c obtains the conversion information 114 from the external device.
Functions of the calculator 130c, the generator 140c, and the identifier 150c will be described later.

The conversion unit 170 converts a plurality of damage degrees corresponding to a plurality of deformations occurring in the deterioration process among the plurality of deformations indicated by the inspection result information 111 into one damage degree (hereinafter referred to as post-conversion damage degree). do. In other words, the conversion unit 170 converts a plurality of damage degrees corresponding to a plurality of deformations occurring along the time series in the same deterioration process among the plurality of deformations indicated by the inspection result information 111 into the post-conversion damage degrees. Convert.

A plurality of deformations that occur during the deterioration process will now be described. For example, if the civil engineering structure is plain lining concrete, the multiple deformations that occur during the deterioration process are cracks, swells, and spalling. The process by which cracks, floats and spalling occur is described in detail. Cracks occur first. The crack gradually expands and becomes hexagonal. A float develops in the area where the crack is closed. Delamination occurs from the state of the float due to an earthquake or the like. It should be noted that Non-Patent Document 2 describes investigating the degree of damage to each of cracks, floats, and peelings.

Further, specific examples of deformations that occur during the deterioration process will be described. For example, if the civil engineering structure is a steel bridge, the multiple deformations that occur during the deterioration process are deterioration of the anticorrosion function and corrosion. Further, for example, when the civil engineering structure is a concrete bridge, the multiple deformations that occur during the deterioration process are corrosion, cracking, sagging, delamination, and rebar exposure.

Next, the processing executed by the conversion unit 170 will be specifically described.
FIG. 25 is a diagram showing an example of inspection result information according to the fourth embodiment. The inspection result information 111 includes damage levels of cracks, floats, peelings, and water leaks. The converter 170 converts crack, float, and peel damage degrees into post-conversion damage degrees. Conversion information 114 is used in the conversion processing. A specific example of the conversion information 114 is shown here.

FIG. 26 is a diagram showing an example of conversion information according to the fourth embodiment. The conversion information 114 is information acquired by the acquisition unit 120c. The conversion information 114 is information indicating a correspondence relationship between a plurality of damage degrees corresponding to a plurality of deformations occurring in the course of deterioration and post-conversion damage degrees. In other words, the conversion information 114 is information used when converting a plurality of damage degrees corresponding to a plurality of deformations occurring in the deterioration process into one damage degree.

Transformation information 114 is created based on the perspective of the degradation process. For example, the damage degree b of the float and the damage degree b of the detachment indicate a state in which the deterioration has progressed more than the damage degree b of the crack. Therefore, when the damage degree of the float and the damage degree of the separation are the damage degree b, the post-conversion damage degree corresponds to the damage degree c. Further, it may be considered that the degree of damage that has deteriorated most among the plurality of degrees of damage corresponding to the plurality of deformations corresponds to the post-conversion damage degree.

Based on the conversion information 114, the conversion unit 170 converts a plurality of damage degrees corresponding to a plurality of deformations occurring in the deterioration process into post-conversion damage degrees. For example, if the crack damage degree is damage degree c, the float damage degree is damage degree b, and the peeling damage degree is damage degree b (that is, the record of management number 1001-1 of inspection result information 111 ), the conversion unit 170 converts the damage degrees of cracks, floats, and peelings into damage degrees c (that is, post-conversion damage degrees) based on the conversion information 114 .

In addition, the conversion unit 170 does not convert damage degrees of deformations that are not included in the plurality of deformations that occur in the deterioration process, among the damage degrees of the plurality of deformations indicated by the inspection result information 111, into post-conversion damage degrees. . For example, the converter 170 does not convert the water leakage damage degree into the post-conversion damage degree.
In this way, a plurality of damage degrees corresponding to a plurality of deformations occurring in the deterioration process are converted into post-conversion damage degrees.

Next, the repair timing specifying process will be described.
For example, the calculation unit 130c calculates a plurality of approximation functions based on a plurality of service years included in the inspection result information 111, a damage degree that has not been converted into a post-conversion damage degree, and a post-conversion damage degree. do. For example, in calculating the plurality of approximation functions, it may be considered that the vertical axis of FIG. 7A is replaced with the post-conversion damage level, and the vertical axis of FIG. 7B is replaced with the water leakage damage level.

The generation unit 140c generates prediction information based on a plurality of approximation functions. The plurality of approximation functions are obtained based on the inspection result information 111, and are used to determine the future service period of the deformation corresponding to the damage degree that has not been converted into the post-conversion damage degree and the plurality of deformations that occur in the deterioration process. This is information for deriving the degree of damage. Here, a plurality of deformations that occur during the deterioration process are called first deformations. The prediction information indicates the damage degree in the future service period in the deformation corresponding to the damage degree that has not been converted into the post-conversion damage degree, and the post-conversion damage degree in the future service period in the first deformation. Moreover, the said prediction information is also called 2nd prediction information.

Next, the generated prediction information and the repair determination information 112c are exemplified.
27 is a diagram showing an example of prediction information and repair determination information according to Embodiment 4. FIG. The prediction information 200c is prediction information generated by the generation unit 140c.
For example, the repair determination information 112c is stored in the storage unit 110c. The repair determination information 112c determines whether to repair according to a combination of damage degrees that have not been converted into post-conversion damage degrees and post-conversion damage degrees among the damage degrees of each of the plurality of deformations indicated by the inspection result information 111. indicate whether or not For example, the repair determination information 112c in FIG. 27 indicates whether or not to repair according to the combination of the water leakage damage level and the post-conversion damage level.

The identifying unit 150c identifies repair timing based on the prediction information 200c and the repair determination information 112c.
In this way, the information processing apparatus 100c can specify the repair timing by performing the same processing as in the first embodiment after the plurality of damage degrees corresponding to the plurality of deformations are converted into the post-conversion damage degrees. .

The repair method information 113 may indicate a repair method according to a combination of the post-conversion damage degree and the water leakage damage degree, similarly to the repair determination information 112c. The identifying unit 150c can identify the repair method based on the repair method information 113. FIG.

According to the fourth embodiment, the information processing apparatus 100c converts a plurality of damage degrees corresponding to a plurality of deformations into post-conversion damage degrees, and uses the post-conversion damage degrees to generate a deterioration model (that is, an approximate function) Calculate The deterioration model has a smaller dimension than a deterioration model based on multiple degrees of damage corresponding to multiple deformations. The repair determination information and the repair method information can be easily determined by reducing the dimensions from multidimensional to two-dimensional. In addition, by reducing the dimension from multi-dimensional to two-dimensional, it is easy to display the repair determination information and the repair method information on a paper medium or on a screen.

Further, the information processing apparatus 100c can also specify repair timing by performing the same processing as in the second embodiment after converting a plurality of damage degrees corresponding to a plurality of deformations into post-conversion damage degrees. For example, the acquiring unit 120c acquires information on the existence probability matrix N(x) and information on the transition probability matrix M. The existence probability matrix N(x) indicates the probability of being in each state of a plurality of combinations in the future service period. The transition probability matrix M indicates the probability that each state of a plurality of combinations will transition to another combination state in the future service period. The transition probability matrix M may be called a first transition probability matrix. A plurality of combinations are combinations of damage degrees that have not been converted into post-conversion damage degrees and post-conversion damage degrees. The calculator 130 c calculates a transition probability matrix obtained by adjusting the transition probability matrix M based on the inspection result information 111 . The adjusted transition probability matrix may be referred to as a second transition probability matrix. A plurality of damage degrees corresponding to a plurality of deformations occurring in the deterioration process, which are included in the inspection result information 111, are converted into post-conversion damage degrees. For example, conversion unit 170 uses conversion information 114 to perform the conversion. The generation unit 140c generates prediction information based on the adjusted transition probability matrix and existence probability matrix N(x). The generated prediction information may be called second prediction information. The identifying unit 150c identifies repair timing based on the generated prediction information and the repair determination information 112c.

In this manner, the repair timing is specified by the same processing as in the second embodiment. A plurality of damage degrees corresponding to a plurality of deformations are converted into post-conversion damage degrees, thereby reducing the dimension of the deformation matrix. Here, the number of data included in each cell of the deformation matrix of three or more dimensions may be small. Also, each cell of a three-dimensional or higher deformation matrix may not contain data. There is a large difference between a transition probability matrix based on a deformation matrix of such a state and a transition probability matrix based on a deformation matrix containing a sufficient number of data. By reducing the dimension of the deformation matrix as in the fourth embodiment, it becomes easier to secure the number of data. Therefore, the transition probability matrix M based on the deformation matrix with reduced dimensions contains a lot of data.

The information processing device 100c does not perform dimension reduction by statistically analyzing a large amount of inspection results, such as principal component analysis. The information processing device 100c can easily reduce the dimension by converting a plurality of damage degrees corresponding to a plurality of deformations into post-conversion damage degrees.

After the plurality of damage degrees corresponding to the plurality of deformations are converted into post-conversion damage degrees and the generation unit 140c generates prediction information, the information processing device 100c performs the same processing as in the third embodiment to determine the repair timing. can also be specified. For example, the identifying unit 150c identifies whether or not to perform repair at a future service time within a predetermined period based on the repair determination information 112c and the prediction information 200c. The identifying unit 150c uses information indicating whether or not repairs are to be made in the future service period within the period, and when the predetermined constraint conditions are satisfied and the life cycle cost in the period is minimized by the objective function Identify the repair timing of In this manner, the repair timing is specified by the same processing as in the third embodiment.

The features of the embodiments described above can be combined as appropriate.

Reference Signs List 100,100a,100b information processing device 101 processor 102 volatile storage device 103 nonvolatile storage device 110,110c storage unit 111 inspection result information 112,112a,112c repair determination information 113 repair method information 114 Conversion information 120, 120c Acquisition unit 130, 130a, 130c Calculation unit 140, 140a, 140b, 140c Generation unit 150, 150a, 150b, 150c Identification unit 160, 160b Output unit 170 Conversion unit 200, 200c Prediction information 210 Repair plan information 300 Summary table 310 Prediction information 400 Plan information.

Claims (14)

inspection result information indicating a plurality of degrees of damage corresponding to a plurality of deformations of a plurality of portions of a civil engineering structure inspected in the past and a plurality of service periods corresponding to the plurality of portions; Repair determination information indicating whether or not to repair according to the combination of damage degrees of each state, existence probability matrix information indicating the probability that each of the plurality of combinations will be in the state in the future service period, and future an acquisition unit that acquires information of a first transition probability matrix that indicates the probability that each state of the plurality of combinations will transition to another combination state during the service period;
a calculation unit that calculates a second transition probability matrix obtained by adjusting the first transition probability matrix based on the inspection result information;
a generation unit that generates first prediction information indicating a degree of damage in a future service period in each of the plurality of deformations based on the second transition probability matrix and the existence probability matrix ;
a specifying unit that specifies repair timing based on the repair determination information and the first prediction information;
Information processing device having The first transition probability matrix defines the direction in which the state of each of the plurality of combinations transitions, and the state of each of the plurality of combinations will transition to the state of another combination in the future service period. indicating probability,
The information processing device according to claim 1 . The identification unit
Based on the repair determination information and the first prediction information, specify whether to repair at a future service time within a predetermined period,
Using information indicating whether or not repairs are to be made in the future service period within the period, specifying the repair timing when the predetermined constraints are satisfied and the life cycle cost in the period is minimized by the objective function. do,
The information processing apparatus according to claim 1 or 2 . The acquisition unit acquires repair method information indicating a repair method at the repair timing,
The identifying unit identifies the repair method based on the repair method information.
The information processing apparatus according to any one of claims 1 to 3 . inspection result information indicating a plurality of degrees of damage corresponding to a plurality of deformations of a plurality of portions of a civil engineering structure inspected in the past and a plurality of service periods corresponding to the plurality of portions; Acquisition of repair determination information indicating whether or not to repair according to the combination of damage degrees of each condition, and repair method information indicating the repair method at the repair timing associated with the information for calculating the repair cost. an acquisition unit that
a calculation unit that calculates the repair cost based on the information for calculating the repair cost ;
Using the information for deriving the degree of damage in the future service period in each of the plurality of deformations obtained based on the inspection result information, the degree of damage in the future service period in each of the plurality of deformations a generation unit that generates first prediction information indicating
a specifying unit that specifies the repair timing based on the repair determination information and the first prediction information;
Information processing device having further comprising an output unit that outputs information indicating the repair timing;
The information processing apparatus according to any one of claims 1 to 5 . inspection result information indicating a plurality of degrees of damage corresponding to a plurality of deformations of a plurality of portions of a civil engineering structure inspected in the past and a plurality of service periods corresponding to the plurality of portions; Conversion information indicating a correspondence relationship between a plurality of damage degrees corresponding to a plurality of deformations and post-conversion damage degrees, and among the damage degrees of each of the plurality of deformations, which are not converted into the post-conversion damage degrees an acquisition unit for acquiring repair determination information indicating whether or not to repair according to a combination of the degree of damage and the post-conversion damage degree;
a conversion unit that converts a plurality of damage degrees corresponding to a plurality of deformations occurring in the deterioration process among the plurality of deformations into the post-conversion damage degrees based on the conversion information ;
Deformation corresponding to the damage degree not converted to the post-conversion damage degree obtained based on the inspection result information and the first deformation which is a plurality of deformations occurring in the deterioration process Using the information for deriving the degree of damage in service period, the damage degree in the future service period in the deformation corresponding to the damage degree not converted to the post-conversion damage degree, and the future in the first deformation a generating unit that generates second prediction information indicating the degree of post-conversion damage at the time of service;
a specifying unit that specifies repair timing based on the second prediction information and the repair determination information;
Information processing device having The acquisition unit acquires repair method information indicating a repair method at the specified repair timing,
The identifying unit identifies the repair method based on the repair method information.
The information processing apparatus according to claim 7 . The plurality of deformations that occur during the deterioration process are cracks, floats, and peeling,
The deformation corresponding to the damage degree that has not been converted into the post-conversion damage degree is water leakage.
The information processing apparatus according to claim 7 or 8 . a calculating unit that calculates a plurality of approximation functions based on the plurality of in-service periods, the damage degrees that have not been converted into the post-conversion damage degrees, and the post-conversion damage degrees;
The generation unit generates the second prediction information based on the plurality of approximation functions.
The information processing apparatus according to any one of claims 7 to 9 . further comprising a calculation unit;
The acquisition unit acquires information of an existence probability matrix indicating the probability that each of the plurality of combinations will be in the state of each of the plurality of combinations in the future service period, and the state of each of the plurality of combinations will be the state of another combination in the future service period. Acquiring information of a first transition probability matrix indicating the probability of transition,
The calculation unit calculates a second transition probability matrix obtained by adjusting the first transition probability matrix based on the inspection result information,
The generation unit generates the second prediction information based on the second transition probability matrix and the existence probability matrix.
The information processing apparatus according to any one of claims 7 to 9 . The identification unit
Based on the repair determination information and the second prediction information, specify whether to repair at a future service time within a predetermined period,
Using information indicating whether or not repairs are to be made in the future service period within the period, specifying the repair timing when the predetermined constraints are satisfied and the life cycle cost in the period is minimized by the objective function. do,
The information processing apparatus according to any one of claims 7 to 11 . The information processing device
inspection result information indicating a plurality of degrees of damage corresponding to a plurality of deformations of a plurality of portions of a civil engineering structure inspected in the past and a plurality of service periods corresponding to the plurality of portions; Repair determination information indicating whether or not to repair according to the combination of damage degrees of each state, existence probability matrix information indicating the probability that each of the plurality of combinations will be in the state in the future service period, and future Obtaining information of a first transition probability matrix indicating the probability that each state of the plurality of combinations will transition to another combination state during the service period,
Calculate a second transition probability matrix in which the first transition probability matrix is adjusted based on the inspection result information;
Based on the second transition probability matrix and the existence probability matrix, generating first prediction information indicating the degree of damage in the future service period in each of the plurality of deformations,
Identifying repair timing based on the repair determination information and the first prediction information;
specific method. information processing equipment,
inspection result information indicating a plurality of degrees of damage corresponding to a plurality of deformations of a plurality of portions of a civil engineering structure inspected in the past and a plurality of service periods corresponding to the plurality of portions; Repair determination information indicating whether or not to repair according to the combination of damage degrees of each state, existence probability matrix information indicating the probability that each of the plurality of combinations will be in the state in the future service period, and future Obtaining information of a first transition probability matrix indicating the probability that each state of the plurality of combinations will transition to another combination state during the service period,
Calculate a second transition probability matrix in which the first transition probability matrix is adjusted based on the inspection result information;
Based on the second transition probability matrix and the existence probability matrix, generating first prediction information indicating the degree of damage in the future service period in each of the plurality of deformations,
Identifying repair timing based on the repair determination information and the first prediction information;
A specific program that causes an action to be performed.

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