JP6671607B2 - Structure impact prediction system - Google Patents

Description

  The present technology relates to a system for predicting the effect of a structure on an earthquake.

  Conventionally, it has been known that even in the same area and the same scale of earthquake, the damage situation of the building is different. For this reason, for example, in Patent Document 1, the natural period of a structure is registered in advance, and at the time of an earthquake, a structure registered in advance is obtained from data of magnitude, epicenter depth, and epicenter distance obtained by emergency earthquake early warning. It has been proposed to determine whether a long-period ground motion arrives at an object.

JP 2013-174529 A

  However, since the exact natural period of a structure can be obtained by calculation from structural design materials, it is difficult to register accurate natural periods for all structures in a given area. It is difficult to grasp in detail.

  The present technology solves the above-described problem, and provides a structure impact prediction system that can grasp in detail an impact prediction of an earthquake in a predetermined area.

In order to solve the above-described problems, the structure impact prediction system according to the present technology is a structure database that records structure information including structure position information, natural period, and natural period accuracy, A seismic database that records seismic information including a period of a seismic wave, and a prediction unit that predicts the degree of influence of the structure due to seismic motion on a structure-by-structure basis based on the natural period of the structure and the period of the seismic wave. A notification unit for displaying the degree of influence of the structure on a map based on the position information and the accuracy of the natural period, and the accuracy of the natural period is calculated based on the structure information of the structure and the height information of the structure. The natural period based on the design data, the natural period based on the design data, and the natural period based on the vibration measurement .

In addition, the structure impact prediction system according to the present technology includes a structure database that records structure information including the position information of the structure, the natural period, and the accuracy of the natural period, and an acquisition that acquires an earthquake early warning. Unit, an analysis unit that analyzes the period of the seismic wave based on the emergency earthquake flash report, and predicts the degree of influence of the structure due to the seismic motion on a structure basis based on the natural period of the structure and the period of the seismic wave. The prediction unit, based on the position information of the structure and the accuracy of the natural period, comprising a notification unit that displays the degree of influence of the structure on a map, the accuracy of the natural period, the structural information of the structure and The natural period is higher in the order of the natural period based on the height information of the structure, the natural period based on the design data, and the natural period based on the vibration measurement .

In addition, the method for predicting the influence of a structure according to the present technology includes a prediction step of predicting the degree of influence of a structure due to seismic motion on a structure basis based on a natural period of the structure and a period of the seismic wave; and based on the natural period of the accuracy, possess a notification step of displaying the degree of influence of the structure on the map, the accuracy of the natural period is natural period based on the height information of the structure information and the structure of the structure , The natural period based on the design data, and the natural period based on the vibration measurement increase in this order .

Further, the method for predicting the influence of a structure according to the present technology includes an acquiring step of acquiring an earthquake early warning, an analyzing step of analyzing a period of a seismic wave based on the emergency earthquake early warning, a natural period of a structure, and the seismic wave. A prediction step of predicting the degree of influence of a structure due to seismic motion on a structure basis based on the period of the ground motion, and displaying the degree of influence of the structure on a map based on the accuracy of the position information and the natural period of the structure. is to possess the notification process, the accuracy of the natural period is natural period based on the height information of the structure information and the structure of the structure, the natural period based on the design data, and higher in the order of natural period based on vibration measurement Become .

In addition, the program according to the present technology includes a prediction process of predicting the degree of influence of a structure due to a seismic motion on a per-structure basis based on a natural period of the structure and a period of a seismic wave, and accuracy of position information and a natural period of the structure. The influence of the structure is displayed on a map based on the accuracy of the natural period, the natural period based on the structure information of the structure and the height information of the structure, the natural period based on the design data, and the vibration. And causing the computer to execute a notification process that increases in the order of the natural period based on the measurement .

Further, the program according to the present technology is an acquisition process for acquiring an emergency earthquake bulletin, an analysis process for analyzing the period of the seismic wave based on the emergency earthquake bulletin, and based on the natural period of the structure and the period of the seismic wave. a prediction process to predict the degree of influence of the structure by earthquake motion in structure units, based on the accuracy of the position information and the natural period of the structure, the degree of influence of the structure is displayed on the map, the natural period The computer performs a notification process in which the accuracy of the information becomes higher in the order of the natural period based on the structure information of the structure and the height information of the structure, the natural period based on the design data, and the natural period based on the vibration measurement .

  According to the present technology, the influence of the structure is displayed on the map based on the accuracy of the position information and the natural period of the structure, so that the user can grasp the accuracy of the influence, and can determine the accuracy of the influence in a predetermined area. It is possible to understand in detail the prediction of the impact of an earthquake.

FIG. 1 is a block diagram illustrating a functional configuration example of a system for estimating the influence of a structure according to the first embodiment of the present technology. FIG. 2 is a block diagram illustrating a functional configuration of a structure influence prediction system according to the second embodiment of the present technology. FIG. 3 is a block diagram showing a configuration of an embodiment of a structure influence prediction system. FIG. 4 is a block diagram illustrating a hardware configuration example of the terminal device. FIG. 5 is a block diagram illustrating a hardware configuration example of the server device. FIG. 6 is a block diagram illustrating a hardware configuration example of the observation sensor. FIG. 7 is a diagram illustrating an example of a simulation screen for predicting the influence of a structure caused by a past earthquake. FIG. 8 is a flowchart showing a display process of the map area. FIG. 9 is a flowchart showing a display process of the past earthquake data search area and the selected earthquake data display area. FIG. 10 is a diagram showing an example of a real-time structure effect prediction simulation screen. FIG. 11 is a flowchart showing a process of displaying an alert display area. FIG. 12 is a flowchart showing the display processing in the map display area. FIG. 13 is a diagram illustrating an example of a setting screen for inputting a natural period of a structure. FIG. 14 is a diagram illustrating an example of transition of the displayed screen.

Hereinafter, embodiments of the present technology will be described in detail in the following order.
1. Structure effect prediction system 1-1. Functional configuration example according to first embodiment 1-2. Functional configuration example according to second embodiment 1-3. 1. Hardware configuration example according to one embodiment 2. Example of simulation for predicting the effect of a structure due to a past earthquake 3. Simulation example of real-time structure effect prediction 4. Example of setting accuracy of fixed period of structure Example of display screen transition

<1. Structure Impact Prediction System>
(1-1. Functional Configuration Example According to First Embodiment)
FIG. 1 is a block diagram illustrating a functional configuration example of a system for estimating the influence of a structure according to the first embodiment of the present technology. As shown in FIG. 1, the structure influence prediction system according to the first embodiment of the present technology records structure information including position information of a structure, a natural period, and accuracy of the natural period. Object database 1, an earthquake database 2 for recording earthquake information including the period of seismic waves, and a prediction unit 3 for predicting the degree of influence of a structure due to seismic motion on a structure basis based on the natural period of the structure and the period of the seismic wave. And a notifying unit 4 for displaying the degree of influence of the structure on a map based on the positional information of the structure and the accuracy of the natural period.

  Thereby, for example, in a simulation for predicting the influence of a structure due to a past earthquake, the influence of the structure is displayed on a map based on the positional information of the structure and the accuracy of the natural period. Accuracy can be ascertained, and the effect of an earthquake in a predetermined area can be predicted in detail.

  Specifically, the notification unit 4 changes the type of the object indicating the structure in accordance with the accuracy of the natural period of the structure, and changes the color of the object in accordance with the degree of influence of the structure. The object is displayed on the map based on the position information.

  Accordingly, for example, in a simulation of predicting the influence of a structure due to a past earthquake, the user can grasp the accuracy of the degree of influence by the type of the object, and can grasp the degree of influence of the structure by the color of the object.

(1-2. Example of Functional Configuration According to Second Embodiment)
FIG. 2 is a block diagram illustrating a functional configuration of a structure influence prediction system according to the second embodiment of the present technology. As shown in FIG. 2, the structure influence prediction system according to the second embodiment of the present technology has a structure that records structure information including position information of a structure, a natural period, and accuracy of the natural period. Object database 5, an acquisition unit 6A for acquiring an earthquake early warning, an analysis unit 7 for analyzing the period of the seismic wave based on the earthquake early warning, and a structure based on seismic motion based on the natural period of the structure and the period of the seismic wave. A prediction unit 8 for predicting the degree of influence of an object in units of a structure, and a notifying unit 9 for displaying the degree of influence of a structure on a map based on the positional information of the structure and the accuracy of the natural period.

  Accordingly, for example, in a real-time structure effect prediction simulation, the influence of the structure is displayed on the map based on the position information of the structure and the accuracy of the natural period. It is possible to grasp the influence prediction of the earthquake in a predetermined area in detail.

  Specifically, the notification unit 9 changes the type of the object indicating the structure in accordance with the accuracy of the natural period of the structure, and changes the color of the object in accordance with the degree of influence of the structure. The object is displayed on the map based on the position information.

  Thereby, for example, in a real-time structure effect prediction simulation, the user can grasp the accuracy of the influence degree by the type of the object, and can grasp the influence degree of the structure by the color of the object.

  In addition, the system for predicting the influence of a structure according to the second embodiment is based on observation sensor information including position information of an observation sensor installed on the structure and detection information indicating the magnitude of shaking detected by the observation sensor. The notifying unit 9 includes an observation sensor database 6B for recording, and displays the detection information on a map based on the position information of the observation sensor.

  Thus, for example, in a real-time structure effect prediction simulation, the user can grasp the actual magnitude of the structure shake on the map.

  Specifically, the notifying unit 9 changes the type of the object indicating the structure in accordance with the accuracy of the natural period of the structure, and changes the color of the object in accordance with the detection information. The object is displayed on the map based on.

  Thus, for example, in a real-time structure effect prediction simulation, the user can grasp the accuracy of the degree of influence according to the type of the object, and can grasp the magnitude of the actual swing of the structure by the color of the object. it can.

  In this specification, a system refers to a set of a plurality of components (devices, modules (parts), and the like). That is, a single device in which all components are housed in the same housing, and a plurality of devices housed in separate housings and connected via a network are both systems.

  The function of each component of the structural impact prediction system to which the present technology is applied can be configured by, for example, hardware of a terminal device, a server device, and an observation sensor, which will be described later. A configuration of cloud computing in which a plurality of devices share and process in a shared manner can be adopted. For example, the structure database 1, the earthquake database 2, the structure database 5, and the observation sensor database 6B can function by a server storage or the like, and the prediction unit 3, the analysis unit 7, and the prediction unit 8 function by a server CPU or the like. Can be done. In addition, for example, the notification unit 4 and the notification unit 9 include a server GPU, a server VRAM, a server encoding unit, a server communication unit, a terminal decoding unit, a terminal communication unit, a terminal display unit, a sensor decoding unit, a sensor communication unit, and a sensor display. It can be made to function by a unit or the like. Further, for example, the acquisition unit 6A can be caused to function by a server communication unit or the like.

  In addition, it is possible to create a computer program for realizing each function of the structure impact prediction system to which the present technology is applied, and implement the computer program in a personal computer or the like. Further, a computer-readable recording medium in which such a computer program is stored can be provided. The recording medium is, for example, a magnetic disk, an optical disk, a magneto-optical disk, a flash memory, or the like. In addition, the above computer program can be distributed via, for example, a network without using a recording medium.

(1-3. Hardware Configuration Example According to One Embodiment)
Hereinafter, an example of a hardware configuration according to an embodiment to which the present technology is applied will be described with reference to FIGS. 3 to 6.

  FIG. 3 is a block diagram showing a configuration of an embodiment of a structure influence prediction system. As shown in FIG. 3, the system for predicting the influence of a structure according to the present embodiment includes a terminal device 10, a server device 20, and an observation sensor 30, and the terminal device 10, the server device 20, and the observation sensor 30 Are connected via a network 40.

  The structure influence prediction system provides a processing result of a program for predicting the degree of influence of a structure due to seismic motion on a structure basis from the server device 20 in response to an input operation of the terminal device 10 by a user. System. The terminal device 10 and the observation sensor 30 receive an image according to a program executed in the server device 20 as encoded moving image data, and display the received encoded moving image data as an image.

  FIG. 4 is a block diagram illustrating a hardware configuration example of the terminal device 10. As shown in FIG. 4, the terminal device 10 includes a terminal CPU (Central Processing Unit) 11 for executing a program execution process, a terminal ROM (Read Only Memory) 12 for storing a program to be executed by the terminal CPU 11, A terminal RAM (Random Access Memory) 13 for expanding data, a terminal decoding unit 14 for decoding encoded data, a terminal communication unit 15 for communicating with the server device 20, a result of a program executed by the terminal CPU 11, and the like. , An operation input unit 17 for receiving various input operations by the user, an audio output unit 18 for outputting audio, and a terminal storage 19 for fixedly storing programs and data.

  The terminal CPU 11 controls the operation of each block of the terminal device 10. Specifically, the terminal CPU 11 controls the operation of each block, for example, by reading an operation program for image display processing recorded in the terminal ROM 12 and developing and executing the program in the terminal RAM 13. More specifically, the terminal CPU 11 can acquire the degree of influence of the structure by inquiring of the server device 20. The terminal CPU 11 can acquire the identification information (ID) and the detection information of the observation sensor by inquiring the server device 20.

  The terminal ROM 12 is, for example, a non-volatile memory that can only be read. The terminal ROM 12 stores information such as constants necessary for the operation of each block included in the terminal device 10 in addition to an operation program such as an image display process.

  The terminal RAM 13 is a volatile memory. The terminal RAM 13 is used not only as a development area for the operation program, but also as a storage area for temporarily storing intermediate data and the like output in the operation of each block of the terminal device 10.

  The terminal decoding unit 14 performs a decoding process on the encoded moving image data received by the terminal communication unit 15, and generates an image related to one or more frames.

  The terminal communication unit 15 is a communication interface that the terminal device 10 has. The terminal communication unit 15 transmits and receives data to and from another device such as the server device 20 connected via the network 40. At the time of data transmission, the terminal communication unit 15 converts the data into a data transmission format determined between the network 40 and the destination device, and transmits the data to the destination device. At the time of data reception, the terminal communication unit 15 converts the data received via the network 40 into an arbitrary data format readable by the terminal device 10 and stores the data in the terminal RAM 13 under the control of the terminal CPU 11, for example.

  The terminal display unit 16 is a display device of the terminal device 10 such as an LCD (Liquid Crystal Display). The terminal display unit 16 performs display control for displaying an input image in a display area. Further, the terminal display unit 16 may be a large-screen monitor or the like connected to the outside of the terminal device 10 by a cable or the like. More specifically, the terminal display unit 16 can display, to a user, an example of a simulation screen for predicting the influence of a structure caused by a past earthquake, an example of a simulation screen for predicting the effect of a real-time structure, which will be described later.

  The operation input unit 17 is a user interface of the terminal device 10 such as a touch panel and a keyboard. When detecting that the user has performed an input operation on the user interface, the operation input unit 17 outputs an input operation signal corresponding to the input operation to the terminal CPU 11.

  The audio output unit 18 is an audio device included in the terminal device 10 such as a speaker, for example. When audio information is provided together with the image, the audio output unit 18 outputs the provided audio information as audio.

  The terminal storage 19 is used as a storage area for fixedly storing an operation program developed in the terminal RAM 13, intermediate data output in the operation of each block included in the terminal device 10, and the like. As the terminal storage 19, various storage means such as an HDD (Hard disk drive) or a nonvolatile memory can be used.

  FIG. 5 is a block diagram illustrating an example of a hardware configuration of the server device 20. As shown in FIG. 5, the server device 20 includes a server CPU (Central Processing Unit) 21 that executes a program execution process, a server ROM (Read Only Memory) 22 that stores a program executed by the server CPU 21, A server RAM (Random Access Memory) 23 for developing data, a server GPU (Graphics Processing Unit) 24 for performing image processing operations, a server VRAM (Video Random Access Memory) 25 connected to the server GPU 24, and data encoding , A server storage 27 for fixedly storing programs and data, and a server communication unit 28 for communicating with the terminal device 10 and the observation sensor 30.

  The server CPU 21 controls the operation of each block included in the server device 20. Specifically, the server CPU 21 controls the operation of each block by reading, for example, an operation program such as a structure influence prediction process described later stored in the server ROM 22 and developing and executing the program in the server RAM 23. More specifically, the server CPU 21 can predict the degree of influence of a structure on a structure-by-structure basis based on the structure information and the earthquake information. Further, the server CPU 21 can determine an affected range such as an S wave, a killer pulse, or a long-period ground motion based on an emergency earthquake bulletin, a ground database, an earthquake database, or the like.

  The server ROM 22 is, for example, a non-volatile memory that can only be read. The server ROM 22 stores information such as constants necessary for the operation of each block included in the server device 20 in addition to an operation program such as an influence prediction process.

  The server RAM 23 is a volatile memory. The server RAM 23 is used not only as a development area for the operation program, but also as a storage area for temporarily storing intermediate data and the like output in the operation of each block of the server device 20.

  The server GPU 24 generates an image to be displayed on the terminal display unit 16 of the terminal device 10. Upon receiving the drawing command from the server CPU 21, the server GPU 24 draws an image based on the drawing command, and stores the drawn image in the server VRAM 205.

  The server encoding unit 26 performs an encoding process on an image stored in the server VRAM 25 or the like. The server encoding unit 26 divides, for example, an image to be encoded into blocks, and performs intra-coding (intra-frame encoding) or inter-coding (inter-frame encoding) on each block.

The server storage 27 is a recording device such as an HDD (Hard Disk Drive) that is detachably connected to the server device 20. More specifically, the server storage 207
It can have functions such as a structure database, an earthquake database, an observation sensor database, and a ground database.

  The server communication unit 28 is a communication interface of the server device 20. The server communication unit 28 transmits and receives data to and from other devices such as the terminal device 10 and the observation sensor 30 connected via the network 40. In addition, the server communication unit 28 can receive an Earthquake Early Warning (EEW).

  FIG. 6 is a block diagram illustrating a hardware configuration example of the observation sensor 30. As shown in FIG. 6, the observation sensor 30 includes a sensor CPU (Central Processing Unit) 31 for executing a program execution process, a sensor ROM (Read Only Memory) 32 for storing a program executed by the sensor CPU 31, A sensor RAM (Random Access Memory) 33 for expanding data, a sensor decoding unit 34 for decoding encoded data, a sensor communication unit 35 for communicating with the server device 20, a result of a program executed by the sensor CPU 31, and the like. , An operation input unit 37 for receiving various input operations by the user, an audio output unit 38 for outputting audio, and a sensor storage 39 for fixedly storing programs and data. The sensor CPU 31, the sensor ROM 32, the sensor RAM 33, the sensor decoding unit 34, the sensor communication unit 35, the sensor display unit 36, the input unit 37, the audio output unit 38, and the sensor storage 39 are respectively a terminal CPU 11, a terminal ROM 12, and a terminal RAM 13 The terminal decoding unit 14, the terminal communication unit 15, the terminal display unit 16, the input unit 17, the audio output unit 18, and the terminal storage 19 are the same as those described above, and thus description thereof is omitted here.

  The observation sensor 30 also includes an acceleration sensor 371 for detecting accelerations in three directions of the X-axis, the Y-axis, and the Z-axis, an amplification circuit 372 for amplifying a detection signal from the acceleration sensor 371, and a detection signal from the amplification circuit 372. And a filter 373 that separates the frequency components into two.

  The sensor CPU 31 transmits, to the server device 20 via the sensor communication unit 35, detection information indicating the magnitude (galling) of the shaking detected by the acceleration sensor 371. In addition, the sensor CPU 31 uses the frequency components separated by the filter 373 to generate a P-wave, an S-wave, an extremely short-period ground motion, a short-period ground motion, a slightly short-period ground motion (killer pulse), a slightly long-period ground motion, and an L-wave (long period). Earthquake motion) and the like are determined based on the strength, and the determination results are transmitted to the server device 20 via the sensor communication unit 35.

  Here, P-wave, S-wave, extremely short-period ground motion, short-period ground motion, slightly shorter-period ground motion, slightly longer-period ground motion, and L-wave will be described.

  The P wave (initial (earthquake) tremor) propagates up and down linearly in the rock. The propagation speed of the P wave is about 5 to 7 km / s, and its frequency is about 5 to 10 Hz. The P-wave has the property of attenuating in the building (upper object) due to microtremor.

  The S wave (principal (earthquake) motion) rotates in rock and propagates in all directions. The propagation speed of the S wave is about 3 to 4 km / s, and the frequency is about 0.5 to 5 Hz. The S wave has the property of spreading over a wide area in a ripple shape.

  The extremely short-period ground motion is a ground motion having a frequency of 2 Hz or less, and is the one in which indoor furniture and objects are most likely to shake. Since the seismic intensity is the strongest in the seismic intensity meter, it is considered to cause a difference between the seismic intensity and the damage or seismic intensity.

  The short-period ground motion is a ground motion having a frequency of 1 to 2 Hz, and may include a slightly short-period ground motion. This is a seismic motion where humans are most likely to feel shaking.

  The slightly short-period ground motion is a ground motion with a frequency of 0.5 to 1 Hz, and is a ground motion that is most likely to sway in a middle- to low-rise building (up to the 20th floor). Many buildings in which humans live are most susceptible to this period of shaking, so that long-term observations of seismic waves at this frequency tend to increase human damage. For this reason, it is commonly called a killer pulse.

  The slightly long-period ground motion is a ground motion having a frequency of 0.5 to 0.2 Hz, and is most likely to shake a medium-sized building (20 to 50 floors) such as a huge tank or a steel tower.

  The L wave (long-period ground motion) propagates in the horizontal direction while swelling near the ground surface. The propagation speed of the L wave is about 2.5 to 3 km / s, and its frequency is 0.2 to 0.5 Hz. The L wave has the property of hardly attenuating, and is a seismic motion in which a high-rise building (over 50 floors) is most likely to shake. Buildings and the like shake more widely than those with a short cycle, and heavy ones move at high speed in accordance with the shaking of the building, causing damage to people and objects.

  In the above-described hardware configuration, the server device 20 records a structure database that records structure information including the position information of the structure, the natural period, and the accuracy of the natural period, and records the earthquake information including the period of the seismic wave. And a prediction unit for predicting the degree of influence of the structure due to the seismic motion on a structure-by-structure basis based on the natural period of the structure and the period of the seismic wave, based on the positional information of the structure and the accuracy of the natural period. Thus, the influence of the structure can be displayed on a map.

  Further, the server device 20 includes a structure database that records structure information including the position information of the structure, the natural period, and the accuracy of the natural period, an acquisition unit that obtains an emergency earthquake early warning, and an emergency earthquake early warning. An analysis unit that analyzes the period of the seismic wave based on the natural period of the structure and a period of the seismic wave, and a prediction unit that predicts the degree of influence of the structure due to the seismic motion on a structure-by-structure basis. The degree of influence of the structure can be displayed on a map based on the information and the accuracy of the natural period.

  In addition, the server device 20 includes an observation sensor database that records observation sensor information including position information of the observation sensor installed on the structure and detection information indicating the magnitude of the sway detected by the observation sensor. The 10 and the observation sensor 30 can display detection information on a map based on the position information of the observation sensor.

  The server storage 27 is installed in a structure database that records structure information including the position information of the structure, the natural period, and the accuracy of the natural period, an earthquake database that records the earthquake information including the period of the seismic wave, and installed in the structure. It is possible to have a function of an observation sensor database that records observation sensor information including the position information of the observed sensor and the detection information indicating the magnitude of the shake detected by the observation sensor.

  The position information of the structure is, for example, latitude, longitude, sea level, address, and the like.As the structure, a building such as an office building, an apartment, a detached house, a school, a government office, a station, a stadium, a hall, a bridge, Examples include roads (piers), radio towers, tunnels, and dams.

  The natural period of the structure can be calculated, for example, from structural information such as SRC structure and RC structure and the height of the structure. In addition, it can be accurately calculated based on design data or data based on actual vibration measurement.

  The accuracy of the natural period of a structure is, for example, a simple one calculated from structural information such as SRC structure and RC structure and the height of the structure, or calculated based on design data or data based on actual vibration measurement. It is set step by step depending on whether it is accurate or not.

  The period of a seismic wave is information including the intensity of, for example, P wave, S wave, very short period ground motion, short period ground motion, slightly short period ground motion, slightly long period ground motion, L wave, etc. Or a virtual one.

  The position information of the observation sensor includes, for example, latitude, longitude, height, sea level, floor number, address, and the like. Further, the detection information of the observation sensor includes the magnitudes (galls) of the shaking in three directions of the X axis, the Y axis, and the Z axis.

  The server CPU 21 can calculate the degree of influence of the structure on a structure-by-structure basis based on the structure information and the earthquake information. For example, it is possible to determine whether or not resonance occurs depending on whether or not the period of the seismic wave belongs to a period range including the natural period of the structure, and determine the degree of influence based on the intensity of the seismic wave of that period. .

  In addition, the server CPU 21 can determine an influence range such as an S wave, a killer pulse, or a long-period ground motion based on an emergency earthquake bulletin, a determination result of an observation sensor, a ground database, an earthquake database, and the like. For example, the influence range of the S wave can be calculated based on the epicenter, the depth of the epicenter, the magnitude, the maximum seismic intensity, and the like included in the emergency earthquake bulletin.

<2. Example of simulation for predicting the effect of a structure caused by a past earthquake>
Next, an example of a simulation for predicting the influence of a structure caused by a past earthquake using the above-described hardware configuration example will be described.

  FIG. 7 is a diagram illustrating an example of a simulation screen for predicting the influence of a structure caused by a past earthquake. The screen example shown in FIG. 7 includes a map area 51, a past earthquake data search area 52, and a selected earthquake data display area 53.

  In the map area 51, an object indicating a structure is displayed on a map, the type of the object is changed according to the accuracy of the natural period of the structure, and the color of the object is changed according to the degree of influence of the structure. I do. For example, when the accuracy of the natural period of the building is two levels of high and low, the object with high accuracy is displayed with “□”, the object with low accuracy is displayed with “△”, and the influence of the building is high. Objects in case are shown in red and objects in low case are shown in blue. Further, an enlargement / reduction button is displayed in the map area 51, and the map range displayed in the map area 51 can be changed by the enlargement / reduction button.

  In the past earthquake data search area 52, search conditions such as an earthquake occurrence period, a maximum seismic intensity, and an occurrence area can be input.

  In the selected earthquake data display area 53, the name of the earthquake, the maximum seismic intensity, the epicenter (latitude, longitude, depth), the magnitude, the presence / absence of a long cycle and its frequency, the presence / absence of a killer pulse and its frequency, the influence degree, etc. Is displayed.

  Next, screen generation of the map area 51, the past earthquake data search area 52, and the selected earthquake data display area 53 will be described.

  FIG. 8 is a flowchart showing a display process of the map area. In step S11, the server CPU 21 extracts structure information in the map area displayed in the map area 51 based on the position information of the structure from the server storage 27 having the function of the structure database.

  In step S12, the server CPU 21 stores the structure information in the map area displayed in the map area 51 extracted in step S11 in the server RAM 23.

  In step S13, the server CPU 21 searches for a past earthquake based on the conditions input to the past earthquake data search area 52 as described later.

  In step S14, the server CPU 21 calculates the degree of influence of each building based on the structural information in the map area displayed in the map area 51 and the earthquake information of the past earthquake searched in step S13. Specifically, based on the natural period of the structure and the period of the past seismic wave, the degree of influence on the S wave, killer pulse, long-period ground motion, and the like of the structure is calculated for each structure. The degree of influence can be classified into, for example, four levels of none (zero), small, medium, and large.

  In step S15, the server CPU 21 displays the object on the map based on the positional information of the building and the accuracy of the natural period of the building. For example, as in the screen example shown in FIG. 7, objects with high accuracy are displayed as “□”, objects with low accuracy are displayed as “△”, and objects with a high building influence are displayed in red. , And objects in the low case are shown in blue.

  FIG. 9 is a flowchart showing a display process of the past earthquake data search area and the selected earthquake data display area. In step S131, the server CPU 21 acquires the conditions input to the past earthquake data search area 52.

  In step S132, the server CPU 21 extracts the earthquake information from the earthquake database 2 based on the acquired input conditions, and displays a list of earthquake names of the earthquake information in the search result display area of the past earthquake data search area 52 via the server GPU 24. Let it.

  In step S133, the server CPU 21 acquires the earthquake information selected in the search result display area of the past earthquake data search area 52, and displays this earthquake information in the selected earthquake data display area 53.

  According to the example of the simulation screen for predicting the influence of a structure caused by the past earthquake, the user can grasp the accuracy of the degree of influence according to the type of the object, and can grasp the degree of influence of the structure according to the color of the object. Can be. In the simulation screen example, the accuracy of the natural period of the structure is represented by the type of the object, and the degree of influence of the structure is represented by the color of the object. However, another mode may be adopted. For example, the accuracy of the natural period of the structure may be represented by the color of the object, and the degree of influence of the structure may be represented by the blinking interval of the object. Further, in the above simulation, the effect prediction is performed based on the past earthquake data. However, the earthquake data may be freely set and the effect prediction based on the virtual earthquake data may be performed.

<3. Example of simulation for predicting the effects of structures in real time>
Next, an example of a simulation for predicting the influence of a structure in real time using the above-described hardware configuration example will be described.

  FIG. 10 is a diagram showing an example of a real-time structure effect prediction simulation screen. The screen example shown in FIG. 10 includes a map area 61, an alert display area 62, a current location display area 63, a current time display area 64, and an earthquake occurrence display area 65.

  In the map area 61, an object representing a structure is displayed on a map, the type of the object is changed according to the accuracy of the natural period of the structure, and the color of the object is changed according to the degree of influence of the structure. I do. For example, when the accuracy of the natural period of a building is two levels of high and low, objects with high accuracy are displayed with "□", objects with low accuracy are displayed with "で", and the influence of the building is high. The object in the case is shown in red, and the object in the low case is shown in white.

  In the map area 61, the color of the object changes according to the detection information of the observation sensor installed on the structure. Further, an enlargement / reduction button is displayed in the map area 61, and the map range displayed in the map area 61 can be changed by the enlargement / reduction button.

  In the alert display area 62, an effect prediction result such as an S wave, a killer pulse, or a long-period ground motion on a structure closest to the current position or a structure registered in advance is displayed.

  The current location display area 63 displays the address of the current location, and the current time display area 64 displays the current time and the like.

  The generated earthquake display area 65 displays a list of generated earthquakes in order of occurrence date and time, and displays, for each earthquake, the occurrence date and time, epicenter name, latitude, longitude, depth, magnitude, maximum seismic intensity, and the like.

  Subsequently, screen generation of the map area 61, the alert display area 62, the current location display area 63, the current time display area 64, and the generated earthquake display area 65 will be described.

  FIG. 11 is a flowchart showing a process of displaying an alert display area. In step S21, the server CPU 21 receives the emergency earthquake flash report via the server communication unit 28. The Earthquake Early Warning includes information such as the time of occurrence, the epicenter, the depth of the epicenter, the magnitude, and the maximum seismic intensity.

  In step S22, the server CPU 21 determines an affected area such as an S wave, a killer pulse, or a long-period ground motion based on an emergency earthquake bulletin, a determination result of an observation sensor, a ground database, an earthquake database, and the like, and determines a structure within the affected area. Based on the natural period of the structure, the degree of influence of the structure on S waves, killer pulses, long-period ground motion, and the like is predicted for each structure.

  In step S23, the terminal CPU 11 inquires the server 20 of the degree of influence of the structure closest to the current position or the structure registered in advance on S waves, killer pulses, long-period seismic motion, and the like, and acquires the same.

  In step S24, the terminal CPU 11 causes the alert display area 62 to display the degree of influence of the structure acquired from the server 20 on S waves, killer pulses, long-period ground motions, and the like.

  In step S25, the terminal CPU 11 updates the generated earthquake list, and displays the generated earthquake list in the generated earthquake display area 65 via the terminal display unit 16.

  FIG. 12 is a flowchart showing the display processing in the map display area. In step S31, the terminal CPU 11 inquires the server device 20 about the degree of influence of structures in the map area displayed in the map area 61 on S waves, killer pulses, long-period ground motions, and the like, and obtains, for example, S waves, killers For the pulse, the long-period ground motion, or the like having the highest influence, the influence of the structure is displayed in the map display area 61.

  In step S32, the terminal CPU 11 inquires of the server device 20 and acquires identification information (ID) of the observation sensor in the map area displayed in the map area 51.

  In step S33, the terminal CPU 11 acquires detection information of an observation sensor in the map area.

  In step S34, the terminal CPU 11 displays (overlights) the detection information of the observation sensor on the map display area 61 via the terminal display unit 16.

  According to such a real-time structure impact prediction simulation screen example, the user can grasp the accuracy of the degree of influence by the type of the object, and can grasp the degree of influence of the structure by the color of the object. . Further, the size of the actual swing of the structure after the influence prediction can be grasped by the color of the object. In the above simulation screen example, the type of the object indicates the accuracy of the natural period of the structure, the color of the object indicates the degree of influence of the structure, and the change in the color of the object indicates real-time swing. Other embodiments may be employed. For example, the accuracy of the natural period of the structure may be represented by the color of the object, the degree of influence of the structure may be represented by the shading of the color of the object, and real-time fluctuation may be represented by the blinking interval of the color of the object.

<4. Example of setting the accuracy of the fixed cycle of the structure>
Next, an example of setting the accuracy of the natural period of a structure using the above-described hardware configuration example will be described. In this setting example, the input item relating to the natural period of the structure is conditioned to determine the accuracy of the natural period of the structure.

FIG. 13 is a diagram illustrating an example of a setting screen for inputting a natural period of a structure. The setting screen includes an input field 71 for the address of the structure, an input field 72 for the structure information of the structure, an input field 73 for the height information of the structure, an input field 74 for the natural period based on the design data, An input column 75 for a natural period based on vibration measurement is provided.

The server CPU 21 can calculate the natural period of the structure based on the structure information such as the RC structure input in the input field 72 and the height information of the structure input in the input field 73 .

Also, for example, when information is input to the input fields 72 and 73 , the server CPU 21 sets the natural cycle to the accuracy of “low”, and when information is input to the input fields 72 , 73 and 74. When the natural period has an accuracy of “medium” and information is input in the input fields 72 1 , 73 2 , 74 and 75 , the accuracy of the natural period is set to “high”. Thereby, the server CPU 21 can display the structure input on the setting screen as an object corresponding to “high” accuracy on the map screen.

<5. Example of transition of display screen>
FIG. 14 is a diagram illustrating an example of transition of the displayed screen. On the Top screen 81, for example, a shake prediction simulation button, a shake prediction real-time button, a setting button, and the like are displayed. When a shake prediction simulation button, a shake prediction real-time button, or a setting button is pressed on the Top screen 81, the server CPU 21 displays a login screen 82. If the login is successful, the server CPU 21 changes the screen from the login screen 82 to the shake prediction simulation screen 83, the shake prediction real-time screen 84, or the setting screen 85 in accordance with the pressed button. In such a transition of the screen, when the server device 20 receives the emergency earthquake flash report, the server CPU 21 transitions from another screen to the shake prediction real-time screen 84. As a result, it is possible to quickly grasp the effect prediction of the desired structure due to the earthquake.

  Further, the server CPU 21 can display different screens according to user attributes such as a free member and a paid member. For example, in the setting screen shown in FIG. 13, in the case of a free member, a setting screen in which only the input field 82 and the input field 83 can be input is displayed, and for a paying member, the input field 82, the input field 83, the input field 84 and A setting screen that allows input of all of the input fields 85 may be displayed. As a result, it is possible to urge a paying member to join.

1 structure database, 2 earthquake database, 3 prediction section, 4 notification section, 5 structure database, 6A acquisition section, 6B observation sensor database, 7 analysis section, 8 prediction section, 9 notification section, 10 terminal device, 11 terminal CPU , 12 terminal ROM, 13 terminal RAM, 14 terminal decoding unit, 15 terminal communication unit, 16 terminal display unit, 17 operation input unit, 18 audio output unit, 19 terminal storage, 20 server device, 21 server CPU, 22 server ROM and , 23 server RAM, 24 server GPU, 25 server VRAM, 26 server encoding unit, 27 server storage, 28 server communication unit, 30 observation sensor, 31 sensor CPU, 32 sensor ROM, 33 sensor RAM, 34 sensor decoding unit, 35 sensor communication unit, 36 sensor display unit, 37 operation input , 38 audio output unit, 39 sensor storage, 371 acceleration sensor, 372 amplifier circuit, 373 filter, 51 map area, 52 past earthquake data search area, 53 selected earthquake data display area, 61 map area, 62 alert display area, 63 current location Display area, 64 Current time display area, 65 Earthquake occurrence display area, 71 to 75 input fields, 81 Top screen, 82 Login screen, 83 Shaking prediction simulation screen, 84 Shaking prediction real-time screen, 85 Setting screen

Claims (10)

A structure database that records structure information including structure position information, a natural period, and the accuracy of the natural period,
An earthquake database that records earthquake information including the period of the seismic wave;
Based on the natural period of the structure and the period of the seismic wave, a prediction unit that predicts the degree of influence of the structure due to the seismic motion on a structure-by-structure basis,
A notification unit for displaying the degree of influence of the structure on a map based on the position information of the structure and the accuracy of the natural period ,
The accuracy of the natural period increases in the order of the natural period based on the structural information of the structure and the height information of the structure, the natural period based on the design data, and the natural period based on the vibration measurement . Impact prediction system.   The notifying unit changes the type of an object indicating the structure according to the accuracy of the natural period of the structure, and changes the color of the object according to the degree of influence of the structure. The system according to claim 1, wherein the object is displayed on a map based on position information. A structure database that records structure information including structure position information, a natural period, and the accuracy of the natural period,
An acquisition unit for acquiring an earthquake early warning;
An analysis unit that analyzes a period of the seismic wave based on the emergency earthquake bulletin,
Based on the natural period of the structure and the period of the seismic wave, a prediction unit that predicts the degree of influence of the structure due to the seismic motion on a structure-by-structure basis,
A notification unit for displaying the degree of influence of the structure on a map based on the position information of the structure and the accuracy of the natural period ,
The accuracy of the natural period increases in the order of the natural period based on the structural information of the structure and the height information of the structure, the natural period based on the design data, and the natural period based on the vibration measurement . Impact prediction system.   The notifying unit changes the type of an object indicating the structure according to the accuracy of the natural period of the structure, and changes the color of the object according to the degree of influence of the structure. 4. The system according to claim 3, wherein the object is displayed on a map based on position information. An observation sensor database that records observation sensor information including position information of the observation sensor installed on the structure and detection information indicating the magnitude of the shake detected by the observation sensor,
The influence prediction system according to claim 3, wherein the notification unit displays the detection information on a map based on position information of the observation sensor.   The notifying unit changes the type of the object indicating the structure according to the accuracy of the natural period of the structure, and changes the color of the object according to the detection information, and outputs the position information of the structure. The structure influence prediction system according to claim 5, wherein the object is displayed on a map based on the object. A prediction process of predicting the degree of influence of the structure due to the seismic motion on a structure-by-structure basis based on the natural period of the structure and the period of the seismic wave;
Based on the accuracy of the position information and the natural period of the structure, possess a notification step of displaying the degree of influence of the structure on the map,
The accuracy of the natural period increases in the order of the natural period based on the structural information of the structure and the height information of the structure, the natural period based on the design data, and the natural period based on the vibration measurement . Impact prediction method. An acquisition process for acquiring an earthquake early warning;
An analysis step of analyzing the period of the seismic wave based on the emergency earthquake bulletin,
Based on the natural period of the structure and the period of the seismic wave, a prediction step of predicting the degree of influence of the structure due to the seismic motion in units of the structure,
Based on the accuracy of the position information and the natural period of the structure, the degree of influence of the structure possess a notification step of displaying on the map,
The accuracy of the natural period increases in the order of the natural period based on the structural information of the structure and the height information of the structure, the natural period based on the design data, and the natural period based on the vibration measurement . Impact prediction method. A prediction process of predicting the degree of influence of a structure due to seismic motion on a structure-by-structure basis based on a natural period of the structure and a period of the seismic wave;
Based on the position information of the structure and the accuracy of the natural period, the degree of influence of the structure is displayed on a map, the accuracy of the natural period is a natural period based on the structure information of the structure and the height information of the structure, A program that causes a computer to execute a natural period based on design data and a notification process that increases in the order of the natural period based on vibration measurement . An acquisition process for acquiring an earthquake early warning;
Analysis processing for analyzing the period of the seismic wave based on the emergency earthquake bulletin,
Based on the natural period of the structure and the period of the seismic wave, a prediction process of predicting the degree of influence of the structure due to the seismic motion in units of the structure,
Based on the position information of the structure and the accuracy of the natural period, the degree of influence of the structure is displayed on a map, and the accuracy of the natural period is unique based on the structure information of the structure and the height information of the structure. A program that causes a computer to execute a notification process that increases in the order of the period, the natural period based on the design data, and the natural period based on the vibration measurement .

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