JP2021076449A - Information processing device, information processing system, damage estimation method, and program - Google Patents

Abstract

To easily grasp the state of damage to the whole due to an earthquake.SOLUTION: An information processing device 100 acquires, from seismic intensity meters 200-1 to 200-m, seismic intensity information that indicates the seismic intensity of an area in which a building is included that is an observation object; acquires, from sensors 300-1 to 300-n, building damage state information that indicates the building damage state of the building having been detected by the sensors 300-1 to 300-n; acquires, from a database 400, building property information that indicates the properties of the building; when the sensors 300-1 to 300-n cannot detect the damage level of a building that is the observation object, estimates the damage level of the building on the basis of the seismic intensity indicated by the acquired seismic intensity information, the properties indicated by the building property information and a damage level determined on the basis of building damage state information with regard to buildings other than the building; and outputs the estimated damage level as the damage level of the building.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, an information processing system, a damage damage estimation method and a program.

In recent years, the number of cases of conducting surveys and countermeasures against earthquakes is increasing. For example, a technique is being considered in which an earthquake sensor is installed in a target building and the degree of damage to the building is estimated based on the seismic acceleration measured by the installed earthquake sensor and the building information of the building (for example). See Patent Document 1).

Japanese Patent No. 6549877

With the technology described in Patent Document 1, it is not possible to grasp the damage status of a building in which an earthquake sensor is not installed. Therefore, in order to grasp the damage situation of a building where an earthquake sensor is not installed, the staff of the local government must go to the building after the earthquake and visually check the damage situation. In other words, there is a problem that the overall damage situation caused by the earthquake cannot be easily grasped.

An object of the present invention is to provide an information processing device, an information processing system, a damage damage estimation method and a program capable of easily grasping the entire damage situation caused by an earthquake.

The information processing device of the present invention
Acquisition unit that acquires seismic intensity information indicating the seismic intensity of the area including the building to be observed, building damage status information indicating the building damage status of the building detected by the sensor, and building characteristic information indicating the characteristics of the building. When,
When the sensor cannot detect the damage status of the building of the building to be observed, the seismic intensity indicated by the seismic intensity information acquired by the acquisition unit, the characteristics indicated by the building characteristic information, and other buildings other than the building. An estimation unit that estimates the damage level of the building based on the damage level determined based on the building damage status information of the building.
It has an output unit that outputs the damage level estimated by the estimation unit as the damage level of the building.

Further, the information processing system of the present invention is
With a seismograph
Sensors that detect the damage status of buildings and
A database that stores building characteristic information indicating the characteristics of the building in advance, and
Has an information processing device
The information processing device
Seismic intensity information indicating the seismic intensity of the area including the building to be observed is acquired from the seismograph, and building damage status information indicating the building damage status of the building detected by the sensor is acquired from the sensor. An acquisition unit that acquires building characteristic information indicating characteristics from the database, and
When the sensor cannot detect the damage status of the building of the building to be observed, the seismic intensity indicated by the seismic intensity information acquired by the acquisition unit, the characteristics indicated by the building characteristic information, and other buildings other than the building. An estimation unit that estimates the damage level of the building based on the damage level determined based on the building damage status information of the building.
It has an output unit that outputs the damage level estimated by the estimation unit as the damage level of the building.

Further, the damage damage estimation method of the present invention is:
Processing to acquire seismic intensity information indicating the seismic intensity of the area including the building to be observed from the seismograph, and
A process of acquiring building damage status information indicating the building damage status of the building detected by the sensor from the sensor, and
The process of acquiring building characteristic information indicating the characteristics of the building from the database, and
When the sensor cannot detect the building damage status of the building to be observed, the seismic intensity indicated by the seismic intensity information acquired, the characteristics indicated by the building characteristic information, and the building other than the building are described. The process of estimating the damage level of the building based on the damage level determined based on the building damage status information, and
The process of outputting the estimated damage level as the damage level of the building is performed.

In addition, the program of the present invention
It ’s a program that you want your computer to run.
The procedure for acquiring seismic intensity information indicating the seismic intensity of the area including the building to be observed from the seismograph, and
A procedure for acquiring building damage status information indicating the building damage status of the building detected by the sensor from the sensor, and
The procedure for acquiring the building characteristic information indicating the characteristics of the building from the database and
When the sensor cannot detect the building damage status of the building to be observed, the seismic intensity indicated by the seismic intensity information acquired, the characteristics indicated by the building characteristic information, and the building other than the building are described. A procedure for estimating the damage level of the building based on the damage level determined based on the building damage status information, and
The procedure of outputting the estimated damage level as the damage level of the building is executed.

In the present invention, the overall damage situation caused by the earthquake can be easily grasped.

It is a figure which shows the 1st Embodiment of the information processing system of this invention. It is a figure which shows the installation image of the seismograph shown in FIG. It is a figure which shows an example of the building characteristic information stored in the database shown in FIG. It is a figure which shows an example of the internal structure of the information processing apparatus shown in FIG. It is a flowchart for demonstrating an example of the damage damage estimation method in the information processing system shown in FIG. It is a figure which shows an example of the display mode of the damage level in the output part shown in FIG. It is a figure which shows another example of the display mode of the damage level in the output part shown in FIG. It is a figure which shows an example of the correspondence between each seismic intensity acquired by the acquisition part after the occurrence of an earthquake, and the number of buildings existing in the area where the seismograph which measured the seismic intensity is provided. It is a figure which shows an example of the correspondence between each seismic intensity acquired by the acquisition part after the occurrence of an earthquake, and the number of buildings classified into the damage level determined based on the detected building damage situation. It is a graph which showed an example of the relationship between each seismic intensity acquired by the acquisition part after the occurrence of an earthquake, and the number (number of cases) of buildings classified into the damage level determined based on the detected building damage situation. It is a graph which shows an example of the occurrence probability of each damage level for each measured seismic intensity about the number of cases shown in FIG. It is a figure which shows the 2nd Embodiment of the information processing system of this invention. It is a figure which shows an example of the internal structure of the information processing apparatus shown in FIG. It is a flowchart for demonstrating an example of the damage damage estimation method in the information processing system shown in FIG.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
(First Embodiment)

FIG. 1 is a diagram showing a first embodiment of the information processing system of the present invention. As shown in FIG. 1, the information processing system in this embodiment includes an information processing device 100, a seismograph 200-1 to 200-m (m is a natural number), and a sensor 300-1 to 300-n (n is a natural number). , Database 400. Further, these components are connected to each other via the communication network 10.

The seismographs 200-1 to 200-m measure the seismic intensity at the position where each is installed. The seismographs 200-1 to 200-m are installed in each predetermined area (area), and the seismic intensity measured by each is the seismic intensity in that area. The seismographs 200-1 to 200-m transmit seismic intensity information indicating the measured seismic intensity to the information processing device 100 via the communication network 10.

FIG. 2 is a diagram showing an installation image of the seismographs 200-1 to 200-m shown in FIG. As shown in FIG. 2, each of the seismographs 200-1 to 200-m shown in FIG. 1 is installed in each of the pre-divided areas 500-1 to 500-m, and the measured seismic intensity is measured in the installed area. Let it be the seismic intensity. The area 500-1 to 500-m is an area set to a size (area) so that there is no difference in seismic intensity within the area. Although FIG. 2 shows an example in which one seismograph is installed in each of the areas 500-1 to 500-m, a plurality of seismographs may be installed depending on the area. There may be an area where no one is installed. For an area where a plurality of seismographs are installed, the seismic intensity measured by the plurality of seismographs may be averaged to obtain the seismic intensity in that area. In addition, for a region where no seismograph is installed, the seismic intensity in that region is calculated (estimated) based on the seismic intensity measured by the seismographs installed in the surrounding region. This calculation method may be a method of calculating according to the size (area) of the area and the surrounding area, the positional relationship with each other, and the like, and is not particularly limited here. Further, the area 500-1 to 500-m may be an area divided based on an address or a section, or may be set according to the distribution of seismic intensity and the damage situation when an earthquake occurred in the past. It may be.

The sensors 300-1 to 300-n detect the damage status of the building for determining the damage caused by the earthquake, such as the inclination and acceleration of the building to be observed (hereinafter referred to as a building). The sensors 300-1 to 300-n are, for example, acceleration sensors. Sensors 300-1 to 300-n are not installed in all buildings. The sensors 300-1 to 300-n transmit the detected building damage status information indicating the building damage status to the information processing device 100 via the communication network 10.

The database 400 stores in advance building characteristic information indicating the characteristics of the building. The database 400 shown in FIG. 1 has a function of reading building characteristic information stored in a storage medium inside the database 400 and transmitting it to the information processing apparatus 100 via the communication network 10, and is input from the outside. It has a function of storing (writing) building characteristic information and building characteristic information transmitted via the communication network 10 in a storage medium. Further, the database 400 may be provided in the information processing apparatus 100.

FIG. 3 is a diagram showing an example of building characteristic information stored in the database 400 shown in FIG. As shown in FIG. 3, the building characteristic information stored in the database 400 shown in FIG. 1 is stored in the database 400 in association with the building identification information assigned in advance so that each building can be identified. As shown in FIG. 3, the building characteristic information includes a location area, sensor presence / absence information, a structural type, and a building age. The location area is an area in which the building is built, and is divided into areas 500-1 to 500-m shown in FIG. 2, and is given identification information. The sensor presence / absence information is information indicating whether or not a sensor capable of detecting the building damage status of the building is provided. The age of construction is information indicating the age when the building was completed, and the year when the design standard is changed is the information that separates the age of construction. The structural form is information indicating the structure of the building, and examples thereof include RC (Reinforced Concrete) structure, SRC (Steel Reinforced Concrete) structure, S (Steel) structure, and wooden structure. The structural type and age are information such that if the structural type and age are the same, the damage level received will be the same depending on the seismic intensity.

For example, as shown in FIG. 3, the building identification information "A001", the location area "A-1", the sensor presence / absence information "Yes", the structural type "RC structure", and the age "1962-1971" are associated with each other. There is. This is because the building identification information "A001" is given, the structural type is "RC construction", and the buildings of the ages 1962 to 1971 are built in the location area "A-1". It indicates that there is a sensor that can detect the damage status of the building. Further, the building identification information "B002", the location area "A-1", the sensor presence / absence information "Yes", the structural type "S structure", and the building age "1962-1971" are associated with each other. Information "B001" is given, the structural form is "S structure", and a building with a building age of 1962 to 1971 is built in the location area "A-1", and the building is damaged. It indicates that there is a sensor that can detect the situation. Further, the building identification information "C001", the location area "A-1", the sensor presence / absence information "none", the structural type "RC construction", and the age "1951 or earlier" are associated with each other. This is given the building identification information "C001", the structural type is "RC structure", and the building of the age before 1951 is built in the location area "A-1", and the building It shows that there is no sensor that can detect the damage situation of the building. Further, the building identification information "D003", the location area "A-1", the sensor presence / absence information "none", the structural type "RC structure", and the age "1962-1971" are associated with each other. This is because the building identification information "D003" is given, the structural type is "RC construction", and the buildings of the ages 1962 to 1971 are built in the location area "A-1". It indicates that there is no sensor that can detect the damage status of the building. Further, the building identification information "A010", the location area "B-1", the sensor presence / absence information "Yes", the structural type "RC construction", and the age "1972-1981" are associated with each other. This is because the building identification information "A010" is given, the structural type is "RC construction", and the buildings of the 1972 to 1981 ages are built in the location area "B-1". It indicates that there is a sensor that can detect the damage status of the building. Further, the building identification information "D100", the location area "B-1", the sensor presence / absence information "Yes", the structural type "S structure", and the age "1982-1994" are associated with each other. This is because the building identification information "D100" is given, the structural type is "S structure", and the buildings of the ages 1982 to 1994 are built in the location area "B-1". It indicates that there is a sensor that can detect the damage status of the building. Further, the building identification information "E077", the location area "B-1", the sensor presence / absence information "none", the structural type "S structure", and the age "1982-1994" are associated with each other. This is because the building identification information "E077" is given, the structural type is "S structure", and the building of the age from 1982 to 1994 is built in the location area "B-1". It indicates that there is no sensor that can detect the damage status of the building.

FIG. 4 is a diagram showing an example of the internal configuration of the information processing apparatus 100 shown in FIG. As shown in FIG. 4, the information processing apparatus 100 shown in FIG. 1 has an acquisition unit 110, an estimation unit 120, and an output unit 130. Note that FIG. 4 shows only the main components related to the present embodiment among the components included in the information processing apparatus 100 shown in FIG.

The acquisition unit 110 acquires seismic intensity information indicating the seismic intensity of the area including the building to be observed from the seismograph 200-1 to 200-m. When a seismograph is installed in the target area, the acquisition unit 110 acquires seismic intensity information indicating the seismic intensity measured by the seismograph installed in the area. On the other hand, when the seismograph is not installed in the target area, as described above, the acquisition unit 110 acquires the seismic intensity information indicating the seismic intensity measured by the seismograph installed in the area around the area. , Calculate (estimate) the seismic intensity in the area based on the seismic intensity indicated by the acquired seismic intensity information. Further, with respect to the region where a plurality of seismographs are installed, as described above, the acquisition unit 110 may average the seismic intensities measured by the plurality of seismographs to obtain the seismic intensity in that region. At this time, when calculating the average value, the acquisition unit 110 may calculate the average value by multiplying the weight according to the installation position of the seismograph with respect to the area. The acquisition unit 110 acquires the building damage status information indicating the building damage status such as the inclination and acceleration of the building detected by the sensors 300-1 to 300-n from the sensors 300-1 to 300-n. The acquisition unit 110 acquires building characteristic information indicating the characteristics of the building stored in the database 400 from the database 400. The acquisition unit 110 acquires the structural characteristics of the building as building characteristic information from the database 400. The acquisition unit 110 acquires the structural characteristics and the building age as building characteristic information from the database 400.

The estimation unit 120 determines the damage level of the building based on the building damage status indicated by the building damage status information acquired by the acquisition unit 110. In this determination, the building damage status indicated by the building damage status information and the damage level may be associated in advance, and the damage level may be searched from this association based on the building damage status information acquired by the acquisition unit 110. .. This damage level is divided into a plurality of levels such as no loss, small damage, medium damage, and large damage, and each level indicates the magnitude of damage. For example, the estimation unit 120 determines that the damage level is lossless if the inclination and acceleration included in the building damage status information acquired by the acquisition unit 110 are equal to or less than the first threshold value. Further, if the inclination and acceleration included in the building damage status information acquired by the acquisition unit 110 exceed the first threshold value and is equal to or less than the second threshold value, the estimation unit 120 determines the damage level as a minor damage. Further, if the inclination and acceleration included in the building damage status information acquired by the acquisition unit 110 exceed the second threshold value and is equal to or less than the third threshold value, the estimation unit 120 determines that the damage level is medium damage. Further, if the inclination and acceleration included in the building damage status information acquired by the acquisition unit 110 exceed the third threshold value, the estimation unit 120 determines that the damage level is a wreck.

Further, when the sensor 300-1 to 300-n cannot detect the building damage status of the building to be observed, the estimation unit 120 acquires the seismic intensity indicated by the seismic intensity information and the characteristics indicated by the building characteristic information acquired by the acquisition unit 110. And the damage level of the building is estimated based on the damage level determined based on the building damage situation of other buildings other than the building. The estimation unit 120 estimates the damage level of the building by using Bayesian estimation for the buildings having similar structural characteristics indicated by the building characteristic information acquired by the acquisition unit 110. Further, the estimation unit 120 estimates the damage level of the building by using Bayesian estimation for the buildings having similar structural characteristics and construction ages indicated by the building characteristic information acquired by the acquisition unit 110. Is also good. The estimation unit 120 estimates the damage level with the highest probability of occurrence calculated using Bayesian estimation as the damage level of the building.

The output unit 130 outputs the damage level estimated by the estimation unit 120 as the damage level of the building. When the sensors 300-1 to 300-n can detect the building damage status of the building to be observed, the output unit 130 is determined by the estimation unit 120 based on the building damage status of the building acquired by the acquisition unit 110. The damage level is output as the damage level of the building. The output unit 130 also displays the damage level. At this time, the output unit 130 may display the damage level at the position of the target building on the map. The result output by the output unit 130 may be managed so that it can be used in other areas and systems.

The damage damage estimation method in the information processing system shown in FIG. 1 will be described below. FIG. 5 is a flowchart for explaining an example of the damage damage estimation method in the information processing system shown in FIG.

After the occurrence of an earthquake, first, the acquisition unit 110 acquires seismic intensity information indicating the seismic intensity measured by each of the seismographs 200-1 to 200-m from each of the seismographs 200-1 to 200-m (step S1). Further, the acquisition unit 110 acquires the building damage status information indicating the building damage status of the building detected by each of the sensors 300-1 to 300-n from each of the sensors 300-1 to 300-n, and the acquired building damage status information. The estimation unit 120 determines the damage level based on the building damage condition indicated by (step S2). In addition, the acquisition unit 110 acquires building characteristic information from the database 400 (step S3). In the processes of steps S1 to S3, any process may be performed first, and the order thereof is not specified. When the processes of steps S1 and S3 are performed before the occurrence of an earthquake, the process of step S2 is performed as a part of the process of step S5 described later.

Then, the estimation unit 120 determines whether or not there is a sensor capable of detecting the building damage status of the target building based on the building characteristic information acquired by the acquisition unit 110 from the database 400 (step S4). If there is no sensor capable of detecting the building damage status of the target building, the estimation unit 120 estimates the damage level of the target building (step S5). The details of the estimation method will be described later. After the estimation unit 120 estimates the damage level of the target building, the output unit 130 displays the damage level as the estimation result (step S6). On the other hand, if there is a sensor that can detect the building damage status of the target building, among the damage information acquired by the acquisition unit 110 in step S2, the damage level determined based on the building damage status of the target building is determined in step S6. Is displayed by the output unit 130. At this time, the output unit 130 may display the damage level itself in characters, or may display the damage level at the position of the target building on the map.

FIG. 6 is a diagram showing an example of a display mode of the damage level in the output unit 130 shown in FIG. As shown in FIG. 6, the output unit 130 shown in FIG. 4 displays the building identification information of the target building and the damage level. In the example shown in FIG. 6, the output unit 130 displays only one building, but may display the building identification information and the damage level for a plurality of buildings. Further, the display mode may be a text display as shown in FIG. 6 or a display using a list (table).

FIG. 7 is a diagram showing another example of the display mode of the damage level in the output unit 130 shown in FIG. As shown in FIG. 7, the output unit 130 shown in FIG. 4 may display a map of a predetermined area and display the damage level symbolically at the position of each building on the map.

The details of the damage level estimation method in the information processing apparatus 100 shown in FIG. 1 will be described below.

FIG. 8 is a diagram showing an example of the correspondence between each seismic intensity acquired by the acquisition unit 110 after the occurrence of an earthquake and the number of buildings existing in the area where the seismograph for measuring the seismic intensity is provided. As shown in FIG. 8, for each measured seismic intensity measured by the seismographs 200-1 to 200-m, the number of buildings existing in the area where the seismographs 200-1 to 200-m are installed is calculated. The measurement building where the damage status can be detected and the non-measurement building where the building damage status cannot be detected are separately associated. This association may be stored in the database 400.

FIG. 9 is a diagram showing an example of the correspondence between each seismic intensity acquired by the acquisition unit 110 after the occurrence of an earthquake and the number of buildings classified into damage levels determined based on the detected building damage status. is there. As shown in FIG. 9, for each measured seismic intensity measured by the seismographs 200-1 to 200-m, the number of buildings is the sensor 300- in the area where the seismographs 200-1 to 200-m are installed. It is classified into damage levels determined based on the building damage status detected by 1 to 300-n. This association may be stored in the database 400.

FIG. 10 shows an example of the relationship between each seismic intensity acquired by the acquisition unit 110 after the occurrence of an earthquake and the number (number of cases) of buildings classified into damage levels determined based on the detected building damage status. It is a graph. As shown in FIG. 10, the damage levels determined based on the building damage status detected by the sensors 300-1 to 300-n are classified into four types of lossless, small damage, medium damage and large damage, and the seismograph 200. The number of cases is plotted for each measured seismic intensity measured from -1 to 200-m. In addition, the number of buildings (number of cases) for which the sensors 300-1 to 300-n cannot detect the damage status of the building is plotted for each area where the seismographs 200-1 to 200-m that measure the seismic intensity are installed. doing. The correspondence shown in FIG. 9 and the graph shown in FIG. 10 are not linked.

FIG. 11 is a graph showing an example of the occurrence probability of each damage level for each measured seismic intensity for the number of cases shown in FIG. As shown in FIG. 11, the probability of each damage level occurring for each seismic intensity is plotted. The relationship shown in FIG. 11 is used as a likelihood function for Bayesian inference.

The details of the damage level estimation method in the estimation unit 120 shown in FIG. 4 will be described below. When the sensor presence / absence information acquired by the acquisition unit 110 for the target building is “none”, the estimation unit 120 estimates the damage level of the building.

First, the estimation unit 120 is the building identification information associated with the same location area as the location area associated with the building identification information of the target building in the database 400, and the sensor presence / absence information is "Yes". The building identification information is searched from the database 400 and extracted. Subsequently, the estimation unit 120 has a structure in which the structural form associated with the building identification information is the same as the structural form associated with the building identification information of the target building from the extracted building identification information. Extract the building identification information associated with the format or structural format with high similarity. Here, the structural form having high similarity is a structural form that is preset so that the damage levels are included in a predetermined range of each other when a certain amount of shaking is applied to the building. Subsequently, in the estimation unit 120, the building age associated with the building identification information from the extracted building identification information is the same as the building age associated with the building identification information of the target building. Extract the building identification information associated with the age.

In this way, before the earthquake occurs, the estimation unit 120 determines the similarity between the buildings based on the building characteristic information of the building, and calculates the damage rate curve of the building showing the relational expression between the seismic intensity and the damage level. Select based on the results of past earthquake damage surveys. This damage rate curve is the distribution of prior probabilities for Bayesian estimation. At this time, since the reliability of the measured data differs depending on the measured seismic intensity, a plurality of reliabilitys are assumed as variations.

Subsequently, when an earthquake occurs, the estimation unit 120 determines the damage level of the extracted building identification information for the building based on the building damage status detected by the sensor. Then, the estimation unit 120 estimates the damage level of the target building by using Bayesian estimation based on the occurrence probability of each of the determined damage levels. Specifically, based on the acquired damage level lossless, small damage, medium damage, and wreck occurrence probability (appearance probability), Bayesian estimation is used to determine the damage level of the target building, lossless, small damage, Decide from medium and wreck.

In this way, when an earthquake occurs, the estimation unit 120 determines the seismic intensity and the damage probability based on the seismic intensity measured by the seismograph and the damage level determined based on the building damage status of the building detected by the sensor. Find the likelihood function that shows the relationship. The estimation unit 120 applies Bayesian estimation to obtain the distribution of posterior probabilities due to the occurrence of an earthquake based on the damage rate curve and the likelihood function. Since this distribution is a discrete distribution, the estimation unit 120 obtains a regression curve (continuous damage rate curve). The estimation unit 120 estimates the damage level with the highest damage probability as the damage level of the seismic intensity of the target building from the damage rate curves of each damage level (damageless, small damage, medium damage, and large damage).

In addition, the estimation unit 120 calculated a regression curve for the occurrence probability of each damage level, and calculated the damage level according to the building damage status of the building in which the sensor is not installed (the sensor cannot detect the building damage status). It may be estimated using a regression curve. Further, the estimation unit 120 may estimate the damage level by weighting (coefficient) the damage level based on the variation of the damage level determined based on the building damage situation detected by the sensor. The distribution of variation in this case may be obtained by using a general calculation method. Further, this variation may be used in the calculation of the regression curve. In this embodiment, the types of damage levels are lossless, minor damage, medium damage, and severe damage, but this is just an example, and the damage level may be indicated using other criteria.

As described above, in this embodiment, when the target building is a building whose sensor cannot detect the building damage status, the damage level determined based on the seismic intensity, building characteristic information, and the building damage status of other buildings is used. Based on this, the damage level of the target building is estimated and displayed. Therefore, the overall damage situation can be easily grasped.
(Second Embodiment)

FIG. 12 is a diagram showing a second embodiment of the information processing system of the present invention. As shown in FIG. 12, the information processing system in this embodiment includes an information processing device 101, a seismograph 200-1 to 200-m (m is a natural number), and a sensor 300-1 to 300-n (n is a natural number). , Database 400 and communication device 601. Further, these components are connected to each other via the communication network 10. The seismographs 200-1 to 200-m, the sensors 300-1 to 300-n and the database 400 are the same as those in the first embodiment. The communication device 601 is a device having a communication function, and may be, for example, a mobile communication terminal owned by a system administrator. Further, the communication device 601 may be provided with a display function for displaying information transmitted from the information processing device 101 via the communication network 10.

FIG. 13 is a diagram showing an example of the internal configuration of the information processing apparatus 101 shown in FIG. As shown in FIG. 13, the information processing apparatus 101 shown in FIG. 12 has an acquisition unit 110, an estimation unit 120, and an output unit 131. Note that FIG. 13 shows only the main components related to the present embodiment among the components included in the information processing apparatus 101 shown in FIG. The acquisition unit 110 and the estimation unit 120 are the same as those in the first embodiment.

The output unit 131 outputs the damage level estimated by the estimation unit 120 as the damage level of the building. When the sensors 300-1 to 300-n can detect the building damage status of the building to be observed, the output unit 131 is determined by the estimation unit 120 based on the building damage status of the building acquired by the acquisition unit 110. The damage level is output as the damage level of the building. Further, the output unit 131 transmits the loss level information indicating the damage level to the communication device 601.

The damage damage estimation method in the information processing system shown in FIG. 12 will be described below. FIG. 14 is a flowchart for explaining an example of the damage damage estimation method in the information processing system shown in FIG.

After the occurrence of an earthquake, first, the acquisition unit 110 acquires seismic intensity information indicating the seismic intensity measured by each of the seismographs 200-1 to 200-m from each of the seismographs 200-1 to 200-m (step S11). Further, the acquisition unit 110 acquires the building damage status information indicating the building damage status of the building detected by each of the sensors 300-1 to 300-n from each of the sensors 300-1 to 300-n, and the acquired building damage status information. The estimation unit 120 determines the damage level based on the building damage condition indicated by (step S12). In addition, the acquisition unit 110 acquires building characteristic information from the database 400 (step S13). In the processes of steps S11 to S13, any process may be performed first, and the order thereof is not specified. When the processes of steps S11 and S13 are performed before the occurrence of an earthquake, the process of step S12 is performed as a part of the process of step S15 described later.

Then, the estimation unit 120 determines whether or not there is a sensor capable of detecting the building damage status of the target building based on the building characteristic information acquired by the acquisition unit 110 from the database 400 (step S14). When there is no sensor capable of detecting the building damage status of the target building, the estimation unit 120 estimates the damage level of the target building (step S15). The details of the estimation method are the same as those described in the first embodiment. After the estimation unit 120 estimates the damage level of the target building, the output unit 131 transmits the damage information indicating the damage level as the estimation result to the communication device 601 via the communication network 10 (step S16). On the other hand, if there is a sensor that can detect the building damage status of the target building, the damage information determined based on the building damage status of the target building among the building damage status acquired by the acquisition unit 110 in step S12 indicates. In step S16, the output unit 131 transmits the damage information indicating the damage level to the communication device 601 via the communication network 10.

As described above, in this embodiment, when the target building is a building whose sensor cannot detect the building damage status, the damage level determined based on the seismic intensity, building characteristic information, and the building damage status of other buildings is used. Based on this, the damage level of the target building is estimated, and the damage information indicating the estimated damage level is transmitted to other communication devices. The communication device that has received the transmitted damage information can easily grasp the overall damage status by displaying and outputting the damage level indicated by the received damage information.

In the above, each component has been assigned to each function (process), but this allocation is not limited to the above. Further, the above-described form is merely an example of the configuration of the component elements, and is not limited to this.

The processing performed by the information processing devices 100 and 101 described above may be performed by logic circuits manufactured according to the purpose. Further, a computer program (hereinafter referred to as a program) in which the processing contents are described as a procedure is recorded on a recording medium readable by the information processing devices 100, 101, and the program recorded on the recording medium is recorded on the information processing device 100, 101. It may be read by 101 and executed. The recording media that can be read by the information processing devices 100 and 101 include a floppy (registered trademark) disk, a magneto-optical disk, a DVD (Digital Versailles Disc), a CD (Compact Disc), a Blu-ray (registered trademark) Disc, and USB. (Universal Serial Bus) In addition to relocated recording media such as memory, memory such as ROM (Read Only Memory) and RAM (Radom Access Memory) built in the information processing devices 100 and 101, HDD (Hard Disk Drive), etc. Point to. The program recorded on the recording medium is read by the CPU provided in the information processing devices 100 and 101, and the same processing as described above is performed under the control of the CPU. Here, the CPU operates as a computer that executes a program read from a recording medium in which the program is recorded.

10 Communication network 100, 101 Information processing device 110 Acquisition unit 120 Estimator unit 130, 131 Output unit 200-1 to 200-m Seismic intensity meter 300-1 to 300-n Sensor 400 Database 500-1 to 500-m area 601 Communication device

Claims (11)

Acquisition unit that acquires seismic intensity information indicating the seismic intensity of the area including the building to be observed, building damage status information indicating the building damage status of the building detected by the sensor, and building characteristic information indicating the characteristics of the building. When,
When the sensor cannot detect the damage status of the building of the building to be observed, the seismic intensity indicated by the seismic intensity information acquired by the acquisition unit, the characteristics indicated by the building characteristic information, and other buildings other than the building. An estimation unit that estimates the damage level of the building based on the damage level determined based on the building damage status information of the building.
An information processing device having an output unit that outputs the damage level estimated by the estimation unit as the damage level of the building. In the information processing apparatus according to claim 1,
The acquisition unit acquires the structural characteristics of the building as the building characteristic information, and obtains the building characteristics.
The estimation unit is an information processing device that estimates the damage level of the building by using Bayesian estimation based on the similarity of the structural characteristics indicated by the building characteristic information acquired by the acquisition unit. In the information processing apparatus according to claim 2,
The acquisition unit acquires the structural characteristics and the age of the building as the building characteristic information, and obtains the building characteristics.
The estimation unit is an information processing device that estimates the damage level of the building by using the Bayesian estimation based on the structural characteristics and the similarity of the building age indicated by the building characteristic information acquired by the acquisition unit. In the information processing apparatus according to claim 2 or 3.
The estimation unit is an information processing device that estimates the damage level with the highest probability of occurrence calculated using the Bayesian estimation as the damage level of the building. In the information processing apparatus according to any one of claims 1 to 4.
The output unit is an information processing device that displays the damage level. In the information processing apparatus according to claim 5,
The output unit is an information processing device that displays the damage level at the position of the building to be observed on the map. In the information processing apparatus according to any one of claims 1 to 6,
The output unit is an information processing device that transmits damage information indicating the damage level to a predetermined communication device. With a seismograph
Sensors that detect the damage status of buildings and
A database that stores building characteristic information indicating the characteristics of the building in advance, and
Has an information processing device
The information processing device
Seismic intensity information indicating the seismic intensity of the area including the building to be observed is acquired from the seismograph, and building damage status information indicating the building damage status of the building detected by the sensor is acquired from the sensor. An acquisition unit that acquires building characteristic information indicating characteristics from the database, and
When the sensor cannot detect the damage status of the building of the building to be observed, the seismic intensity indicated by the seismic intensity information acquired by the acquisition unit, the characteristics indicated by the building characteristic information, and other buildings other than the building. An estimation unit that estimates the damage level of the building based on the damage level determined based on the building damage status information of the building.
An information processing system including an output unit that outputs the damage level estimated by the estimation unit as the damage level of the building. In the information processing system according to claim 8,
The sensor is an information processing system that is an acceleration sensor. Processing to acquire seismic intensity information indicating the seismic intensity of the area including the building to be observed from the seismograph, and
A process of acquiring building damage status information indicating the building damage status of the building detected by the sensor from the sensor, and
The process of acquiring building characteristic information indicating the characteristics of the building from the database, and
When the sensor cannot detect the building damage status of the building to be observed, the seismic intensity indicated by the seismic intensity information acquired, the characteristics indicated by the building characteristic information, and the building other than the building are described. The process of estimating the damage level of the building based on the damage level determined based on the building damage status information, and
A damage damage estimation method that performs a process of outputting the estimated damage level as the damage level of the building. On the computer
The procedure for acquiring seismic intensity information indicating the seismic intensity of the area including the building to be observed from the seismograph, and
A procedure for acquiring building damage status information indicating the building damage status of the building detected by the sensor from the sensor, and
The procedure for acquiring the building characteristic information indicating the characteristics of the building from the database and
When the sensor cannot detect the building damage status of the building to be observed, the seismic intensity indicated by the seismic intensity information acquired, the characteristics indicated by the building characteristic information, and the building other than the building are described. A procedure for estimating the damage level of the building based on the damage level determined based on the building damage status information, and
A program for executing a procedure for outputting the estimated damage level as the damage level of the building.

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