Information processing device and information processing method

Abstract

To provide an information processing device and an information processing method capable of appropriately evaluating repairs of a building when future input loads are assumed.SOLUTION: In the present invention, measured values of responses of a building upon occurrence of earthquakes and information regarding damage degrees of the building due to input loads are acquired. A damage probability curve indicating a correspondence relationship between the measured values and the damage degrees is acquired for each of a plurality of components included in the building. Evaluation of repairs of the building when assuming occurrence of a future earthquakes is performed based on the damage probability curve obtained for each component.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an information processing device and an information processing method, and more particularly to an information processing device and an information processing method for information regarding building damage, and more particularly to an information processing device and an information processing method for executing processing related to building repairs in anticipation of future disasters and the like. [Background technology]

[0002] It is important in building maintenance and management to assess and predict the degree of damage to a building and the repair costs corresponding to that damage in anticipation of future disasters, etc., and technologies for this purpose have been developed to date (see, for example, Patent Document 1).

[0003] Patent Document 1 describes a method for predicting the damage to buildings caused by earthquake motion. According to the method in Patent Document 1, multiple seismic waves for a region where a building to be predicted for damage is built are generated for each of multiple magnitudes by changing the phase using random numbers. Then, a response analysis is performed using a building model using the generated multiple seismic waves to determine the damage state for each component used in the building, and the extent of damage to the building caused by earthquake motion is predicted based on the damage state. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-93619 Summary of the Invention [Problem to be solved by the invention]

[0005] When predicting the degree of damage to a building by assuming a future disaster (input load) using the prediction method described in Patent Document 1, and estimating (evaluating) the necessity and cost of repairs based on the prediction results, it is necessary to carry out an appropriate evaluation so that reasonable results are obtained.

[0006] Therefore, the present invention has been made in consideration of the above-mentioned problems, and its purpose is to provide an information processing device and an information processing method that are capable of appropriately evaluating building repairs when future input loads are assumed. [Means for solving the problem]

[0007] The above problem is solved by the information processing device of the present invention, which is an information processing device that has a processor and executes processing related to building damage, wherein the processor executes the following processes: a process of acquiring measured values ​​of the building's response to input loads and information related to the degree of damage to the building due to the input loads; a process of acquiring a correspondence between the measured values ​​and the degree of damage for each of a plurality of components included in the building; and a process of making an assessment regarding repairs to the building in anticipation of future input loads based on the correspondence acquired for each component.

[0008] The information processing device of the present invention acquires a correspondence relationship between the measured value of the building's response to an input load and the degree of damage to the building due to the input load for each of a plurality of components included in the building. Then, based on the correspondence relationship acquired for each component, an evaluation of building repairs is performed assuming future input loads. This allows for an appropriate evaluation of the degree of damage / damage costs to the building assuming future input loads.

[0009] In addition, in the process of acquiring the correspondence relationship, it is preferable that the processor acquires a damage probability curve as the correspondence relationship for each component element. According to the above configuration, it is possible to appropriately evaluate the degree of damage / damage costs to a building when future input loads are assumed, based on the damage probability curves obtained for each component.

[0010] Furthermore, in the process of acquiring the above-mentioned correspondence, it is more preferable that the processor acquires damage probability curves for each of the building frame, non-structural members, and equipment within the building. According to the above configuration, it is possible to appropriately evaluate the degree of damage / damage costs of a building when future input loads are assumed, based on the damage probability curves obtained for each of the building's structure, non-structural components, and equipment within the building.

[0011] In addition, in the process of performing the above evaluation, the processor may evaluate the repair priority for each of the multiple components based on the correspondence obtained for each component, assuming future input load. According to the above configuration, it is possible to appropriately evaluate the priority of repairs for each component when a future input load is assumed, based on the correspondence relationship acquired for each component.

[0012] In addition, in the process of performing the above evaluation, the processor may evaluate the building damage costs for each of the multiple components based on the correspondence obtained for each component, assuming future input loads. According to the above configuration, it is possible to appropriately evaluate (estimate) the damage costs of a building when future input loads are assumed, based on the correspondence relationships acquired for each component element.

[0013] Furthermore, when a predetermined period of time has elapsed after the execution of the above-mentioned process for evaluating the damage costs, it is preferable that the processor executes a process for reacquiring measurement values ​​and information, a process for updating the correspondence based on the reacquired measurement values ​​and information, and a process for reevaluating the damage costs based on the updated correspondence. According to the above configuration, it is possible to appropriately evaluate the damage costs of a building when future input loads are assumed, taking into account the deterioration of the building over time.

[0014] The input load may also be a load input to a building due to a disaster. In other words, the present invention makes it possible to appropriately evaluate the degree of damage / damage costs to a building in the event of a future disaster.

[0015] In addition, the processor preferably executes a process to obtain disaster prediction information for an area including a building construction site, and in the process of performing an evaluation, the processor preferably performs an evaluation based on the prediction information and the above-mentioned correspondence relationship. According to the above configuration, it is possible to identify disasters that may occur in the future based on prediction information, and to appropriately evaluate the degree of damage / damage costs to a building in the event of such a disaster.

[0016] Furthermore, the above-mentioned problem is solved by the information processing method of the present invention, which is an information processing method that performs processing related to building damage, in which a processor acquires measured values ​​of the building's response to an input load and information related to the degree of damage to the building due to the input load, the processor acquires a correspondence between the measured values ​​and the degree of damage for each of a plurality of components included in the building, and the processor performs an evaluation of the degree of damage / damage costs to the building when future input loads are assumed based on the correspondence acquired for each component. According to the above information processing method, it is possible to appropriately evaluate the degree of damage / damage costs to a building when future input loads are assumed. [Effects of the Invention]

[0017] According to the present invention, an information processing device and an information processing method are realized that are capable of appropriately evaluating future input loads, particularly building repairs in the event of a future disaster. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a diagram illustrating an information processing apparatus and peripheral devices according to an embodiment of the present invention. [Figure 2] FIGS. 2(a) and 2(b) are diagrams showing examples of the monitoring screen. [Figure 3] 1 is a diagram illustrating a hardware configuration of an information processing apparatus according to an embodiment of the present invention. [Figure 4] FIG. 2 is a diagram illustrating functions of an information processing device according to an embodiment of the present invention. [Figure 5] FIG. 10 is a diagram showing damage probability curves obtained for each component of a building. [Figure 6] This is a diagram showing the life cycle cost (LCC) of a building assuming a future earthquake. [Figure 7] FIG. 2 is a diagram showing an information processing flow according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] Hereinafter, one embodiment of the present invention (hereinafter referred to as the present embodiment) will be described with reference to the accompanying drawings. Note that the concept of "device" described in this specification includes a single device that performs a specific function, as well as multiple devices that exist independently in a distributed manner but cooperate (link) to perform a specific function.

[0020] <<Overview of the information processing device according to this embodiment>> An overview of an information processing device according to this embodiment (hereinafter, information processing device 10) will be described. The information processing device 10 executes information processing related to building damage, in particular, processing related to building repairs assuming future input loads. In this embodiment, the processing related to building repairs mainly refers to processing for evaluating the degree of damage to the building and / or the damage costs. In this specification, a "building" refers to a structure where people live or work, such as a house or facility, and is composed of multiple components. The multiple components include non-structural components, including secondary components such as the building's skeleton and walls, and equipment associated with the building, such as air conditioning equipment and electrical equipment installed within the building (hereinafter referred to as equipment).

[0021] Input load refers to the load that is input to a building due to disasters such as earthquakes, strong winds from typhoons, floods, heavy rain, heavy snow, and extreme heat. Input loads due to disasters include loads caused by external forces such as earthquake loads, temperature differences, etc. In the following explanation, we will assume that the input load is an earthquake load. Note that in the following explanation, "assuming a future earthquake occurrence" is synonymous with "assuming a future earthquake load."

[0022] In this embodiment, the information processing device 10 is used in a disaster monitoring system S, as shown in Fig. 1. The disaster monitoring system S is constructed for the purpose of monitoring the condition of a target building and evaluating the damage situation in the event of a disaster. The target building is a building that is the target of monitoring, and is the target of evaluation of the damage situation in the event of a disaster.

[0023] 1, the disaster monitoring system S is composed of an information processing device 10, a sensor group 20, a data logger 22, a database 24, etc. The sensor group 20 includes, for example, an acceleration sensor and / or a displacement sensor installed at a predetermined position of the target building (for example, between stories, in the foundation, or at the installation position of a seismic isolation mechanism if one is installed), an acceleration sensor installed on the ground surface at the construction site of the target building, a weather sensor related to the weather at the construction site of the target building, a seismic intensity meter installed in the area where the target building is located, etc.

[0024] The location area of ​​the target building is the area that includes the construction site of the target building, and "area" is, for example, a unit of administrative division, specifically, in Japan, an area divided by district, prefecture, city, town, village, block, address, etc.

[0025] Each of the sensors 20 measures the response of the target building when an earthquake occurs and outputs a signal according to the measurement result. The response is the response of the target building to the earthquake load (input load), specifically, the response acceleration and / or response displacement at the installation position of the sensor in the target building. Incidentally, the sensor group 20 may include sensors other than those described above, specifically, other sensors that measure indicators that change depending on the magnitude of vibration of the building, or may include a fixed camera (surveillance camera) that captures images of a predetermined position on the building.

[0026] The data logger 22 collects the measurement results of the sensor group 20 and transmits data indicating the collected measurement results to the information processing device 10 or the database 24. The database 24 stores and accumulates the measurement result data, i.e., the measurement values, sent from the data logger 22. The database 24 stores the measurement values ​​linked to information about the measurement points. A measurement point is a location in the target building where a measurement value was obtained, in other words, the installation location of a sensor that output a signal corresponding to the measurement value. For example, a measurement value obtained from a sensor installed in the building's skeleton is recorded linked to information that the measurement point is located in the skeleton.

[0027] The information processing device 10 analyzes the data transmitted from the data logger 22 or the data accumulated in the database 24, and displays information corresponding to the analysis results on the monitoring screen T. The monitoring screen T is a display screen used by a user who is a user or manager of the target building, and specifically, is a screen on a monitor, TV receiver, or the like installed in the building, or a screen provided on a PC (Personal Computer), a mobile terminal such as a smartphone or tablet terminal, or other communication device used by the user.

[0028] When an earthquake occurs in the area where the target building is located, the monitoring screen T displays the measured value of the seismic intensity and an evaluation of the damage situation (degree of damage) of the target building, as shown in (a) of FIG. 2. At this time, the information processing device 10 may output an alert (warning) through the monitoring screen T. The alert includes an alert instructing immediate evacuation, an alert indicating whether the building can be continued to be used, an alert indicating whether repairs / maintenance are required, and the like.

[0029] In this embodiment, the monitor screen during normal operation displays the predicted degree of damage to the target building in the event of a future earthquake, an assessment of the damage costs, etc., as shown in (b) of Fig. 2. This allows the user to check, through the monitor screen, information on the degree of damage to the target building in the event of a future earthquake, and the damage costs, which can improve the user's disaster prevention awareness.

[0030] <<Configuration of the information processing device according to this embodiment>> Next, a description will be given of an example configuration of the information processing device 10. The information processing device 10 is made up of a computer equipped with a processor, and is made up of, for example, a personal computer (PC), a workstation, or a server computer.

[0031] The information processing device 10 may be configured with a single computer or multiple computers distributed in parallel. Furthermore, if the computer configuring the information processing device 10 is a server computer, it may be a server computer for ASP (Application Service Provider), SaaS (Software as a Service), PaaS (Platform as a Service), or IaaS (Infrastructure as a Service). In this case, when necessary information is input into a client terminal such as a PC, the server computer performs various information processing (calculation) operations based on the input information, and the calculation results are output on the client terminal side. In other words, the functions of the server computer, which is the information processing device 10, can be used on the client terminal side.

[0032] The computer constituting the information processing device 10 includes a processor 11, a memory 12, a storage 13, a communication interface 14, an input device 15, and an output device 16, as shown in FIG.

[0033] The processor 11 is composed of, for example, a CPU (Central Processing Unit), an MPU (Micro-Processing Unit), an MCU (Micro Controller Unit), a GPU (Graphics Processing Unit), a DSP (Digital Signal Processor), a TPU (Tensor Processing Unit), or an ASIC (Application Specific Integrated Circuit). The memory 12 is configured by semiconductor memories such as a ROM (Read Only Memory) and a RAM (Random Access Memory).

[0034] The storage 13 is configured by, for example, a flash memory, an HDD (Hard Disc Drive), an SSD (Solid State Drive), an FD (Flexible Disc), an MO disk (Magneto-Optical disc), a CD (Compact Disc), a DVD (Digital Versatile Disc), an SD card (Secure Digital card), or a USB memory (Universal Serial Bus memory), etc. The storage 13 may be built into the computer main body that configures the information processing device 10, or may be attached to the computer main body in an external format, or may be configured by an external server (for example, a database server or a file server) present on a network.

[0035] The communication interface 14 may be configured, for example, by a network interface card, a communication interface board, etc. The computer configuring the information processing device 10 can communicate data with other devices connected to the Internet, a mobile communication line, etc. via the communication interface 14.

[0036] The input device 15 is configured by, for example, a keyboard, a mouse, or a touch panel. The output device 16 is configured by, for example, a display and a speaker.

[0037] Furthermore, a program for an operating system (OS) and an application program for building damage assessment are installed as software in the computer that constitutes the information processing device 10.

[0038] The configuration of the information processing device 10 will be explained again from a functional perspective. As shown in Fig. 4, the information processing device 10 has a first acquisition unit 31, a second acquisition unit 32, a third acquisition unit 33, a correspondence acquisition unit 34, a first evaluation unit 35, a second evaluation unit 36, and an output unit 37. These functional units are realized by cooperation between hardware devices included in a computer constituting the information processing device 10 and software such as various programs installed on the computer. Each functional unit will be described below.

[0039] (1st acquisition part) The first acquisition unit 31 reads out the measurement data stored in the database 24 and acquires the measurement values ​​of the response of the target building when a past earthquake occurred. In this embodiment, the database 24 stores the measurement values ​​of the response when a past earthquake occurred, linked to the measurement points. The first acquisition unit 31 identifies, from the measurement data read out from the database 24, whether the acquired measurement value of the response corresponds to the measurement value of the building's skeleton, a nonstructural component, or equipment within the building. In other words, the first acquisition unit 31 acquires the measurement values ​​of the response when an earthquake occurred, in association with the components of the target building.

[0040] Furthermore, in this embodiment, the first acquisition unit 31 periodically acquires the measurement values ​​from the database 24, in other words, re-acquires the measurement values ​​from the database 24 every time a predetermined period has elapsed. Therefore, if a new earthquake occurs in the area where the target building is located and the measurement values ​​of the responses at that time are newly accumulated in the database 24, the first acquisition unit 31 will acquire the new measurement values ​​by re-acquiring the measurement values ​​from the database 24 after the earthquake occurs.

[0041] (Second acquisition part) The second acquisition unit 32 acquires information regarding the degree of damage to the target building due to earthquake loads based on the measurement values ​​acquired by the first acquisition unit 31. Specifically, when the first acquisition unit 31 acquires a measurement value of the response acceleration, the second acquisition unit 32 analyzes the measurement value to calculate the inter-story displacement of the target building. Note that a known calculation method (for example, a known response analysis method) may be used as a method for calculating the inter-story displacement from the response acceleration.

[0042] Then, the second acquisition unit 32 derives (acquires) a damage probability as information relating to the degree of damage from the calculated inter-story displacement. The damage probability is an index value indicating the degree of damage, and is derived with "total destruction" being 100% or the like, "partial destruction" being 50% or the like, and "minor damage" being 10% or the like. Note that when deriving the damage probability from the inter-story displacement, the damage probability can be derived by using a preset conversion table or conversion formula.

[0043] When the first acquirer 31 acquires the measurement value of the response displacement, the second acquirer 32 may identify the response displacement indicated by the measurement value and derive (acquire) the damage probability from the identified response displacement.

[0044] Furthermore, the second acquisition unit 32 identifies whether the measurement value used to derive the damage probability corresponds to the measurement value of the building skeleton, a non-structural component, or an equipment within the building. In other words, the second acquisition unit 32 acquires the damage probability in association with the components of the target building.

[0045] Furthermore, as described above, in this embodiment, the first acquisition unit 31 periodically acquires measurement values ​​from the database 24, and accordingly the second acquisition unit 32 also periodically acquires (derives) the damage probability; in other words, the damage probability is reacquired based on the measurement values ​​reacquired by the first acquisition unit 31.

[0046] (3rd acquisition part) The third acquisition unit 33 acquires disaster prediction information for the area where the target building is located, specifically, information indicating the probability of an earthquake occurring in the future (for example, within a few years) and its predicted scale. The method for acquiring the forecast information is not particularly limited, and for example, data indicating earthquake forecast information may be obtained (downloaded) via a network from a public institution such as the Ministry of Land, Infrastructure, Transport and Tourism, a news organization such as a television station or a newspaper, or an internet site that publishes earthquake hazard maps. Alternatively, the operator of the information processing device 10 may input the forecast information using the input device 15 while looking at a medium (such as a newspaper or internet site) that contains the earthquake forecast information.

[0047] (Correspondence acquisition section) The correspondence acquisition unit 34 acquires, for each of a plurality of components included in the target building, a correspondence between the measurement values ​​acquired by the first acquisition unit 31 and the damage probabilities acquired by the second acquisition unit 32. More specifically, the correspondence acquisition unit 34 acquires the damage probability curve shown in Fig. 5 for each component.

[0048] The procedure for acquiring a damage probability curve for each component will be described below. The measurement values ​​acquired by the first acquisition unit 31 in association with the component of the target building and the damage probability acquired by the second acquisition unit 32 in association with the component of the target building are separated by component, and combinations of the measurement values ​​and damage probabilities are plotted for each component on a coordinate plane. The coordinate plane is a two-dimensional plane with the horizontal axis representing the magnitude of the response and the horizontal axis representing the damage probability. Then, by applying a log-normal distribution equation to the correspondence (correlation) between the measurement values ​​and the damage probability, the above correspondence is regressed and approximated for each component.

[0049] Through the above procedure, the correspondence acquisition unit 34 acquires a regression equation (approximation equation) for each component, i.e., a damage probability curve, and specifically, as shown in (a) to (c) of Figure 5, obtains damage probability curves for the frame of the target building, non-structural components, and equipment within the building.

[0050] Furthermore, in this embodiment, as described above, the first acquisition unit 31 periodically acquires measurement values ​​from the database 24, and the second acquisition unit 32 acquires (derives) damage probabilities at the corresponding intervals. Accordingly, the correspondence acquisition unit 34 acquires a damage probability curve every time a measurement value and a damage probability are acquired. In other words, the correspondence acquisition unit 34 updates the damage probability curve based on the reacquired measurement values ​​and damage probabilities.

[0051] As described above, in this embodiment, by periodically updating the damage probability curve, it is possible to acquire a damage probability curve that takes into account the aging of the target building. As a result, it is possible to acquire a damage probability curve for each building age, taking into account that the degree of damage in the event of an earthquake may change depending on the year the target building was built. The aging of a building may include deterioration due to the building's microtremors (specifically, microtremors at the natural frequency). Taking this into account, it is possible to update the damage probability curve at an appropriate interval, taking into account deterioration due to microtremors.

[0052] (First Evaluation Section) The first evaluation unit 35 performs a first evaluation of the target building based on the damage probability curve acquired for each component by the correspondence acquisition unit 34 and the earthquake prediction information acquired by the third acquisition unit 33. The first evaluation is an example of an evaluation of repairs to the target building in the event of a future earthquake, and the first evaluation evaluates the priority of repairs for each of the multiple components included in the target building in the event of a future earthquake.

[0053] In the first evaluation, the first evaluation unit 35 identifies the earthquake and its magnitude that is expected to occur in the area where the target building is located in the future, based on the prediction information acquired by the third acquisition unit 33. The first evaluation unit 35 predicts the seismic load based on the identified earthquake magnitude, and estimates the response of the target building to that seismic load (specifically, response acceleration, etc.). Then, the first evaluation unit 35 obtains the damage probability corresponding to the estimated response of the target building for each of a plurality of components (i.e., the building frame, nonstructural members, and equipment within the building) from a damage probability curve.

[0054] Based on the damage probability calculated for each component by the above procedure, the first evaluation unit 35 evaluates the repair priority for each component, and assigns higher priorities to components with the highest damage probability, for example.

[0055] Furthermore, as mentioned above, in this embodiment, the damage probability curve may be updated, in which case the first evaluation unit 35 reevaluates the repair priority for each component of the target building based on the updated damage probability curve.

[0056] (Second Evaluation Department) The second evaluation unit 36 ​​performs a second evaluation of the target building based on the damage probability curves acquired for each component element by the correspondence acquisition unit 34 and the earthquake prediction information acquired by the third acquisition unit 33. The second evaluation is another example of an evaluation of repairs to the target building assuming a future earthquake, and evaluates the costs of repairing the target building assuming a future earthquake, more specifically, the expected value of the life cycle cost (LCC) assuming a future earthquake. The life cycle cost assuming a future earthquake is the total cost of the building, including the expected value of damage costs (repair costs) due to an earthquake.

[0057] The LCC assuming an earthquake is defined as a function that uses the service life of the target building as a variable, and is specifically derived using the following formula. TIFF0007777477000001.tif15128 The parameters in the above formula are as follows: E[x]: expected value of random variable x C L :LCC C I :Initial cost C D (m j ) :Magnitude m j Earthquake damage costs t0: Start time of the target building t life : Service period of the target building Q: Interest rate coefficient (=1 / (1+d)) d: interest rate f wn (t,m j |W1>t0) : Magnitude m j The probability density function of the occurrence time of the nth earthquake, under the condition that no earthquake has occurred between the last earthquake and t0, for the earthquakes

[0058] In the second evaluation, the second evaluation unit 36 ​​identifies the earthquake and its magnitude that is expected to occur in the area where the target building is located in the future, based on the prediction information acquired by the third acquisition unit 33. The second evaluation unit 36 ​​predicts the seismic load based on the identified earthquake magnitude, and estimates the response of the target building to that seismic load (specifically, response acceleration, etc.). Then, the second evaluation unit 36 ​​calculates C in the above formula based on the damage probability curves of each of the multiple components (i.e., the building frame, non-structural members, and equipment within the building) and the estimated response of the target building. D (m j ), that is, the damage cost is calculated. Note that the method for calculating the damage cost is not particularly limited, but as an example, the method described in Japanese Patent Application Laid-Open No. 2013-152197 can be used.

[0059] Through the above procedure, the second evaluation unit 36 ​​estimates (evaluates) the LCC of the target building assuming a future earthquake. As a result, an LCC curve such as that shown in Fig. 6 is obtained for the target building. The LCC curve indicates the change trend of the LCC over the course of the target building's service life.

[0060] Furthermore, as described above, in this embodiment, the damage probability curve may be updated, and in that case, the second evaluation unit 36 ​​re-evaluates the LCC of the target building in the event of a future earthquake based on the updated damage probability curve. By repeating the updating of the damage probability curve and the re-evaluation of the LCC, an LCC curve for the target building that takes into account aging degradation is acquired, as shown in Fig. 6.

[0061] (output section) The output unit 37 displays the evaluation results of the first evaluation unit 35 and the second evaluation unit 36 ​​on the monitoring screen T (see (b) of FIG. 2). The output unit 37 also displays the values ​​calculated by the first evaluation unit 35 in the process of the first evaluation, specifically, the magnitude of an earthquake that is expected to occur in the area where the target building is located in the future, and the probability of damage to each component of the target building due to that earthquake, on the monitoring screen T (see (b) of FIG. 2). The above values ​​displayed by the output unit 37 are always displayed on the monitoring screen T in normal times, and are therefore also referred to as "constant predicted values" below.

[0062] <<Information Processing Flow According to This Embodiment>> The following describes an information processing flow for assessing damage to a building using the above-described information processing device 10, i.e., a damage assessment flow. The damage assessment flow employs the information processing method of the present invention and proceeds according to the flow shown in Fig. 7. In other words, each step in the damage assessment flow shown in Fig. 7 corresponds to each element constituting the information processing method of the present invention. The information processing flow shown in FIG. 7 is merely an example, and unnecessary steps may be deleted, new steps may be added, or the order in which steps are performed may be changed, without departing from the spirit of the present invention.

[0063] Each step (each process) of the damage assessment flow is performed by the processor 11 of the computer that constitutes the information processing device 10. In the damage assessment flow, first, the processor 11 reads and acquires the measured values ​​of the response (response acceleration, response displacement, etc.) of the target building when an earthquake occurs from the database 24 (S001). At this time, the processor 11 identifies, for each acquired measured value, the measured value of which component in the target building the measured value corresponds.

[0064] Next, the processor 11 acquires the probability of damage due to earthquake load (information on the degree of damage) based on the measurement value acquired in S001 (S002). At this time, the processor 11 identifies which component in the target building the measurement value used to derive the damage probability corresponds to.

[0065] Next, the processor 11 acquires the correspondence between the measurement values ​​and the damage probability, i.e., the damage probability curve, for each component of the target building based on the measurement values ​​acquired in S001 and the damage probability acquired in S002 (S003). The procedure for acquiring the damage probability curve is as described above.

[0066] Next, processor 11 acquires earthquake prediction information for the area where the target building is located (S004). After that, processor 11 predicts the degree of damage to the target building in the event of a future earthquake, specifically, the damage probability of each component, based on the damage probability curve for each component acquired in S003 and the earthquake prediction information acquired in S004 (S005).

[0067] Next, the processor 11 performs an evaluation of the degree of damage / damage costs of the target building in the event of an assumed future earthquake, based on the damage probability curve for each component acquired in S003 and the earthquake prediction information acquired in S004. Specifically, the processor 11 performs the first evaluation described above, and evaluates the priority of repairs for each component of the target building in the event of an assumed future earthquake, based on the damage probability of each component predicted in S005 (S006).

[0068] In addition, the processor 11 performs the second evaluation described above, and evaluates the cost of repairing the target building in the event of a future earthquake, i.e., the LCC, based on the damage probability curves for each component obtained in S003 and the magnitude of future earthquakes obtained from the earthquake prediction information obtained in S004 (S007).

[0069] Thereafter, the processor 11 outputs (displays) the damage probability of each component predicted in step S005, i.e., the constant predicted value, on the monitoring screen T (S008). At this time, the processor 11 outputs the contents of the evaluations made in S006 and S007, i.e., the correction priority and LCC, together with the constant predicted value (see FIG. 2(b)).

[0070] When the above series of steps are completed, the damage assessment flow ends. In addition, during the damage assessment flow, steps S004 to S008 may be periodically repeated. That is, the latest earthquake prediction information may be obtained, and based on that prediction information, the continuous prediction value and the assessment content regarding repairs to the target building in the event of a future earthquake may be updated.

[0071] Furthermore, after S007 is performed, i.e., after the process of evaluating the LCC is executed, if a predetermined period (e.g., one to several years) has passed, the processor 11 performs S001 and S002 again. That is, the processor 11 reacquires the measurement values ​​of the target building's response (response acceleration, response displacement, etc.) and the damage probability due to earthquake load every one to several years (S002). The processor 11 then updates the damage probability curve based on the reacquired measurement values ​​and damage probability, and further reevaluates the LCC based on the updated damage probability curve. This allows the aging deterioration of the target building to be reflected in the LCC.

[0072] <<Effectiveness of this embodiment>> According to this embodiment, a damage probability curve is obtained for each of the multiple components included in the target building. The damage probability curve for each component is then used to evaluate the repair of the target building in the event of a future earthquake, specifically, to evaluate the repair priority and damage costs for each component. Using the damage probability curve for each component in this way allows the above evaluation to be carried out appropriately. Furthermore, according to this embodiment, the above-mentioned evaluation details, i.e., repair priority and LCC, can be displayed on the normal monitoring screen along with the predicted values ​​at all times. This allows the user to be informed of the degree of damage to the target building in the event of a future earthquake and the evaluation details regarding repairs, thereby improving the user's disaster prevention awareness. Furthermore, according to this embodiment, the response of the target building when an earthquake occurs is measured, and the measured values ​​are stored in the database 24. The measured values ​​stored in the database 24 are then used to predict the degree of damage to the target building in the event of a future earthquake, and an evaluation of repairs is carried out. Therefore, as the measured values ​​are successively stored in the database 24, the accuracy of the prediction of the degree of damage and the accuracy of the evaluation of repairs improve.

[0073] <<Other embodiments>> Although one embodiment of the information processing device and information processing method of the present invention has been described above, the above embodiment is merely an example for facilitating understanding of the present invention and does not limit the present invention. In other words, the present invention can be modified and improved without departing from the spirit of the present invention. Furthermore, the present invention naturally includes equivalents thereof.

[0074] In the above embodiment, the multiple components included in a building are the building's skeleton, non-structural members, and equipment within the building, and a damage probability curve is obtained for each of them. However, the multiple components are not limited to the above. For example, the skeleton, non-structural members, and equipment within the building may be further classified, and a damage probability curve may be obtained for each of the classified components.

[0075] In addition, in the above embodiment, the damage cost (LCC) of the target building in the event of a future disaster is evaluated, but this is not limited to this, and for example, it is also possible to evaluate only simple repair costs.

[0076] Furthermore, in the above embodiment, the input load is explained by taking as an example a load caused by a disaster, particularly an earthquake load, but the present invention can also be applied to input loads caused by disasters other than earthquakes, such as heavy rain, strong winds, etc. In this case, the response of the building to the input load can be determined by using values ​​that indicate the state of the building, which changes depending on the amount of rainfall, wind speed, etc. [Explanation of symbols]

[0077] 10. Information processing equipment 11 processors 12 Memory 13. Storage 14 Communication Interface 15 Input Devices 16 Output Devices 20 Sensors 22 Data logger 24 databases 31 First acquisition part 32 Second acquisition part 33 Third Acquisition Department 34 Correspondence acquisition unit 35 First Evaluation Section 36 Second Evaluation Section 37 Output section S Disaster Monitoring System T Monitoring screen

Claims

1. An information processing device that includes a processor and executes processing related to damage to a building, The processor: obtaining measurements of the response of the building to input loads and information about the degree of damage to the building due to the input loads; a process of acquiring a correspondence relationship between the measurement value and the damage degree for each of a plurality of components included in the building; and performing a process of evaluating repairs to the building in the event of an assumed future input load based on the correspondence relationship acquired for each of the components; In the process of performing the evaluation, the processor evaluates the repair priority for each of the multiple components based on the correspondence obtained for each component, assuming the future input load.

2. The information processing apparatus according to claim 1 , wherein in the process of acquiring the correspondence relationship, the processor acquires a damage probability curve as the correspondence relationship for each of the components.

3. The information processing device according to claim 2 , wherein in the process of acquiring the correspondence, the processor acquires the damage probability curve for each of a skeleton of the building, a non-structural member, and equipment within the building.

4. 4. The information processing device according to claim 1, wherein in the process of performing the evaluation, the processor evaluates the damage costs of the building when the future input load is assumed based on the correspondence relationship obtained for each of the components.

5. When a predetermined period of time has elapsed after the execution of the process for evaluating the damage cost, the processor a process of reacquiring the measurements and the information; a process of updating the correspondence based on the reacquired measurement values ​​and the information; The information processing apparatus according to claim 4 , further comprising: a step of reevaluating the damage cost based on the updated correspondence relationship.

6. The information processing device according to claim 1 , wherein the input load is a load input to the building due to a disaster.

7. the processor executes a process of acquiring disaster prediction information for an area including a construction site of the building; The information processing apparatus according to claim 6 , wherein in the process of performing the evaluation, the processor performs the evaluation based on the prediction information and the correspondence relationship.

8. An information processing method for performing processing related to damage to a building, obtaining, by a processor, measurements of the response of the building to an input load and information regarding the degree of damage to the building due to the input load; a processor acquires a correspondence relationship between the measurement value and the damage level for each of a plurality of components included in the building; A processor performs an evaluation of repairs to the building in consideration of a future input load based on the correspondence relationship obtained for each of the components; An information processing method in which a processor that performs the evaluation evaluates the repair priority for each of the plurality of components based on the correspondence obtained for each of the components, assuming the future input load.

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