JP2018189617A - Influence prediction system for structure - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an influence prediction system for a structure that can grasp detailed predictions of influences of earthquakes in specific areas.SOLUTION: The present invention includes: a structure database 1 for recording structure information including positional information for a structure, a proper period, and the accuracy of the proper period; an earthquake database 2 for recording earthquake information including the cycles of earthquake waves; a prediction unit 3 for predicting the degree of influence of earthquake vibrations on a structure on a structure-by-structure basis on the basis of the proper period of the structure and the cycles of the earthquake waves; and a notification unit 4 for displaying, on a map, the degree of influence on a structure based on the positional information of the structure and the accuracy of the proper period.SELECTED DRAWING: Figure 1

Description

  The present technology relates to an impact prediction system for structures due to earthquake motion.

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

JP 2013-174529 A

  However, since the exact natural period of a structure is obtained by calculation from structural design data, it is difficult to register the exact natural period for all structures in a predetermined area, and the impact of earthquakes in the predetermined area is predicted. It is difficult to grasp in detail.

  The present technology solves the above-described problems and provides a structure impact prediction system capable of grasping in detail earthquake impact prediction in a predetermined area.

  In order to solve the above-described problem, a structure impact prediction system according to an embodiment of the present technology includes a structure database that records structure information including position information of a structure, a natural period, and accuracy of a natural period; An earthquake database that records earthquake information including the period of the seismic wave; a prediction unit that predicts the degree of influence of the structure due to earthquake motion in units of structures based on the natural period of the structure and the period of the seismic wave; and the structure A notification unit that displays the degree of influence of the structure on a map based on the positional information and the accuracy of the natural period.

  In addition, the structure impact prediction system according to the present technology includes a structure database that records structure information including position information of the structure, natural period, and accuracy of the natural period, and acquisition that acquires earthquake early warnings. And an analysis unit for analyzing the period of the seismic wave based on the earthquake early warning, and predicting the influence of the structure due to the ground motion in units of the structure based on the natural period of the structure and the period of the seismic wave A prediction unit; and a notification unit that displays an influence degree of the structure on a map based on position information of the structure and accuracy of the natural period.

  In addition, the structure impact prediction method according to the present technology includes a prediction process for predicting the degree of influence of a structure due to earthquake motion in units of structures based on the natural period of the structure and the period of the seismic wave, and position information of the structure. And a notification step of displaying the influence of the structure on the map based on the accuracy of the natural period.

  Further, the structure impact prediction method according to the present technology includes an acquisition step of acquiring an earthquake early warning, an analysis step of analyzing a period of a seismic wave based on the emergency earthquake warning, a natural period of the structure, and the Based on the period of the seismic wave, a prediction process for predicting the influence level of the structure due to earthquake motion in units of structures, and based on the positional information of the structure and the accuracy of the natural period, the influence level of the structure is displayed on the map. And a notification process to be displayed.

  In addition, the program according to the present technology is based on the natural period of the structure and the period of the seismic wave. And causing the computer to execute notification processing for displaying the degree of influence of the structure on the map.

  Further, the program according to the present technology is based on an acquisition process for acquiring an earthquake early warning, an analysis process for analyzing a period of a seismic wave based on the emergency earthquake early warning, a natural period of the structure, and a period of the seismic wave. A prediction process for predicting the degree of influence of the structure due to earthquake motion in units of structure, and a notification process 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; Is executed on the computer.

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

FIG. 1 is a block diagram illustrating a functional configuration example of a structure impact prediction system according to the first embodiment of the present technology. FIG. 2 is a block diagram illustrating a functional configuration of the structure impact prediction system according to the second embodiment of the present technology. FIG. 3 is a block diagram showing a configuration of an embodiment of an impact prediction system for a structure. 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 apparatus. 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 past earthquakes. FIG. 8 is a flowchart showing map area display processing. FIG. 9 is a flowchart showing display processing of the past earthquake data search area and the selected earthquake data display area. FIG. 10 is a diagram illustrating an example of a real-time structure impact prediction simulation screen. FIG. 11 is a flowchart showing the alert display area display processing. FIG. 12 is a flowchart showing 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 a transition example of the displayed screen.

Hereinafter, embodiments of the present technology will be described in detail in the following order.
1. 1. Structure impact 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. Simulation examples of impact prediction of structures due to past earthquakes 3. Real-time structural impact prediction simulation example 4. Example of setting accuracy of fixed period of structure Transition example of display screen

<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 structure impact prediction system according to the first embodiment of the present technology. As shown in FIG. 1, the structure impact prediction system according to the first embodiment of the present technology records structure information including position information of a structure, natural period, and natural period accuracy. Object database 1, earthquake database 2 that records earthquake information including the period of the seismic wave, and predicting unit 3 that predicts the degree of influence of the structure due to seismic motion in units of structures based on the natural period of the structure and the period of the seismic wave And a notifying unit 4 that displays the degree of influence of the structure on the map based on the position information of the structure and the accuracy of the natural period.

  Thereby, for example, in the impact prediction simulation of a structure due to a past earthquake, the influence degree of the structure is displayed on the map based on the position information of the structure and the accuracy of the natural period. The accuracy can be grasped, and the earthquake impact prediction in a predetermined area can be grasped in detail.

  Specifically, the notification unit 4 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 degree of influence of the structure. The object is displayed on the map based on the position information.

  Thereby, for example, in the impact prediction simulation of a structure due to a past earthquake, 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.

(1-2. Functional Configuration Example According to Second Embodiment)
FIG. 2 is a block diagram illustrating a functional configuration of the structure impact prediction system according to the second embodiment of the present technology. As shown in FIG. 2, the structure impact prediction system according to the second embodiment of the present technology records structure information including position information of the structure, natural period, and natural period accuracy. Object database 5, an acquisition unit 6A for obtaining an earthquake early warning, an analysis unit 7 for analyzing the period of seismic waves based on the earthquake early warning, and a structure based on earthquake motion based on the natural period of the structure and the period of the seismic wave A prediction unit 8 that predicts the influence level of an object in units of structures, and a notification unit 9 that displays the influence level 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 the real-time structure impact prediction simulation, the influence level 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, and it is possible to grasp in detail the earthquake impact prediction in a predetermined area.

  Specifically, the notification unit 9 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 influence degree of the structure. The object is displayed on the map based on the position information.

  Thereby, for example, in a real-time structure impact prediction simulation, the user can grasp the accuracy of the impact level depending on the type of the object, and can grasp the impact level of the structure based on the color of the object.

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

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

  Specifically, the notification unit 9 changes the type of the object indicating the structure according to the accuracy of the natural period of the structure, changes the color of the object according to the detection information, and determines the position information of the structure. Based on, the object is displayed on the map.

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

  In this specification, the system means a set of a plurality of components (devices, modules (parts), etc.). That is, both 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 systems.

  The function of each component of the structure impact prediction system to which the present technology is applied can be configured by, for example, terminal devices, server devices, and observation sensor hardware described later. Thus, it is possible to adopt a cloud computing configuration in which a plurality of devices share and process together. For example, the structure database 1, the earthquake database 2, the structure database 5, and the observation sensor database 6B can be operated by a server storage or the like, and the prediction unit 3, the analysis unit 7, and the prediction unit 8 are functioned by a server CPU or the like. Can be made. For example, the notification unit 4 and the notification unit 9 are 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 part etc. 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 to implement the computer program on a personal computer or the like. In addition, a computer-readable recording medium storing such a computer program 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. Further, the above computer program can be distributed via a network, for example, without using a recording medium.

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

  FIG. 3 is a block diagram showing a configuration of an embodiment of an impact prediction system for a structure. As illustrated in FIG. 3, the structure impact prediction system 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, the observation sensor 30, and Are connected via the network 40.

  The structure impact prediction system is a bidirectional type in which a processing result of a program that predicts the impact of a structure due to earthquake motion in units of structures is provided 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 relating 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 that executes a program execution process, a terminal ROM (Read Only Memory) 12 that stores a program executed by the terminal CPU 11, a program, A terminal RAM (Random Access Memory) 13 that expands data, a terminal decoding unit 14 that decodes encoded data, a terminal communication unit 15 that communicates with the server device 20, a result of a program executed by the terminal CPU 11, and the like A terminal display unit 16 for displaying the operation, 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 permanently storing programs and data.

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

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

  The terminal RAM 13 is a volatile memory. The terminal RAM 13 is used not only as an operation program development area, 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 / receives data to / from other devices 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 or a destination device and transmits the data to the destination device. At the time of data reception, the terminal communication unit 15 converts data received via the network 40 into an arbitrary data format that can be read 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 included in the terminal device 10 such as an LCD (Liquid Crystal Display). The terminal display unit 16 performs display control for displaying the input image in the display area. The terminal display unit 16 may be a large screen monitor connected to the outside of the terminal device 10 with a cable or the like. More specifically, the terminal display unit 16 can display a structural impact prediction simulation screen example of a past earthquake, a real-time structural impact prediction simulation screen, and the like, which will be described later, to the user.

  The operation input unit 17 is a user interface included in the terminal device 10 such as a touch panel or a keyboard. When the operation input unit 17 detects 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 acoustic device included in the terminal device 10 such as a speaker. The sound output unit 18 outputs the provided sound information as sound when the sound information is provided together with the image.

  The terminal storage 19 is used as a storage area for fixedly storing an operation program expanded in the terminal RAM 13, intermediate data output in the operation of each block of 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 a hardware configuration example of the server device 20. As shown in FIG. 5, the server device 20 includes a server CPU (Central Processing Unit) 21 that performs program execution processing, a server ROM (Read Only Memory) 22 that stores programs executed by the server CPU 21, A server RAM (Random Access Memory) 23 for expanding data, a server GPU (Graphics Processing Unit) 24 for performing image processing calculation, a server VRAM (Video Random Access Memory) 25 connected to the server GPU 24, and data encoding A server encoding unit 26 that performs storage, a server storage 27 that stores programs and data in a fixed manner, and a server communication unit 28 that communicates 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 out an operation program such as an effect prediction process for a structure to be described later stored in the server ROM 22 and developing it in the server RAM 23 for execution. More specifically, the server CPU 21 can predict the influence degree of the structure for each structure based on the structure information and the earthquake information. Further, the server CPU 21 can determine the range of influence of S waves, killer pulses, long-period ground motions, etc. based on emergency earthquake bulletins, ground databases, earthquake databases, and the like.

  The server ROM 22 is a nonvolatile memory that can only be read, for example. The server ROM 22 stores information such as constants necessary for the operation of each block of the server device 20 in addition to an operation program such as an impact 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 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 a 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. For example, the server encoding unit 26 divides an image to be encoded into blocks, and performs intra encoding (intraframe encoding) or inter encoding (interframe 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 is
Functions such as a structure database, an earthquake database, an observation sensor database, and a ground database can be provided.

  The server communication unit 28 is a communication interface that the server device 20 has. 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. Moreover, the server communication part 28 can receive an emergency earthquake early warning (EEW: Earthquake Early Warning).

  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 that performs program execution processing, a sensor ROM (Read Only Memory) 32 that stores a program executed by the sensor CPU 31, a program, 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 A sensor display unit 36 for displaying a sound, an operation input unit 37 for receiving various input operations by a user, a voice output unit 38 for outputting a voice, and a sensor storage 39 for permanently 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 the description thereof is omitted here.

  The observation sensor 30 also has an acceleration sensor 371 that detects acceleration in three directions of the X axis, the Y axis, and the Z axis, an amplification circuit 372 that amplifies the detection signal from the acceleration sensor 371, and a detection signal from the amplification circuit 372. And a filter 373 for separating the frequency components.

  The sensor CPU 31 transmits detection information indicating the magnitude (gal) of shaking detected by the acceleration sensor 371 to the server device 20 via the sensor communication unit 35. Further, the sensor CPU 31 uses the frequency components separated by the filter 373 to generate P wave, S wave, very short period ground motion, short period ground motion, short period ground motion (killer pulse), long period ground motion, L wave (long period). (Seismic motion) or the like is determined based on the intensity, and the determination results are transmitted to the server device 20 via the sensor communication unit 35.

  Here, P waves, S waves, very short period ground motions, short period ground motions, very short period ground motions, long period ground motions, and L waves will be described.

  P-waves (early (earthquake) tremors) propagate in rocks by moving up and down linearly. The propagation speed of the P wave is about 5 to 7 km / s, and the frequency is about 5 to 10 Hz. The P wave has the property of being attenuated by the building (upper object) due to fine movement.

  S waves (major (earthquake) motion) propagate in all directions by rotating in the rock. The propagation speed of the S wave is about 3 to 4 km / s, and its frequency is about 0.5 to 5 Hz. S waves have the property of spreading in a ripple pattern over a wide area.

  The extremely short-period ground motion is a ground motion having a frequency of 2 Hz or less, and indoor furniture or objects are most likely to shake. This seismic motion has the strongest sensitivity of the seismic intensity meter, and this is considered to cause a gap between seismic intensity and damage and sensory seismic intensity.

  The short-period ground motion is a ground motion having a frequency of 1 to 2 Hz, and may include a short-period ground motion. It is an earthquake motion that humans are most likely to feel.

  稍 Short-period ground motion is ground motion with a frequency of 0.5 to 1 Hz, and it is the ground motion most likely to shake in low-rise buildings (up to the 20th floor). Many buildings inhabited by humans are most susceptible to damage due to this period of shaking, and human damage tends to increase when earthquake vibrations at this frequency are observed for a long time. For this reason, it is commonly called a killer pulse.

  稍 Long-period ground motion is a ground motion with a frequency of 0.5 to 0.2 Hz. Medium-scale buildings (20th to 50th floors) such as huge tanks and steel towers are most likely to shake.

  L waves (long-period ground motion) propagate in the horizontal direction while undulating near the ground surface. The propagation speed of the L wave is about 2.5 to 3 km / s, and the frequency is 0.2 to 0.5 Hz. The L wave has a property that hardly attenuates, and is a seismic motion in which a high-rise building (over 50 floors) is most likely to shake. Compared to things with a short period, buildings and the like have a larger width of swinging, and heavy things move at a high speed in accordance with the shaking of the building and damage people and objects.

  In the hardware configuration described above, the server device 20 records the structure database that records the structure information including the position information of the structure, the natural period, and the accuracy of the natural period, and the earthquake information that includes the period of the seismic wave. Based on the position information of the structure and the accuracy of the natural period, and a prediction unit that predicts the influence level of the structure due to earthquake motion in units of the structure based on the natural period of the structure and the period of the seismic wave Thus, the influence degree of the structure can be displayed on the map.

  In addition, 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 acquires the earthquake early warning, and an earthquake early warning. An analysis unit that analyzes the period of the seismic wave, and a prediction unit that predicts the degree of influence of the structure by the seismic motion in units of the structure based on the natural period of the structure and the period of the seismic wave. Based on the information and the accuracy of the natural period, the influence of the structure can be displayed on the map.

  In addition, the server device 20 includes an observation sensor database that records observation sensor information including position information of the observation sensors installed in the structure and detection information indicating the magnitude of shaking detected by the observation sensor, and the terminal device 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 the structure database that records the structure information including the position information of the structure, the natural period, and the accuracy of the natural period, the earthquake database that records the earthquake information including the period of the seismic wave, and 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 shaking detected by the observation sensor.

  The position information of the structure is, for example, latitude, longitude, sea level, address, etc. As the structure, buildings such as office buildings, condominiums, detached houses, schools, government offices, stations, stadiums, halls, bridges, Examples include roads (piers), radio towers, tunnels, and dams.

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

  The accuracy of the natural period of the structure is, for example, a simple one calculated from structure information such as SRC structure or RC structure and the height of the structure, or calculated from design data or data based on actual vibration measurement It is set in stages depending on whether it is accurate.

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

  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 magnitude (gal) of shaking in the three directions of the X axis, the Y axis, and the Z axis.

  The server CPU 21 can calculate the influence of the structure in units of structures based on the structure information and the earthquake information. For example, it is possible to determine whether or not to resonate according to whether or not the period of the seismic wave belongs to a period range including the natural period of the structure, and to determine the degree of influence based on the intensity of the seismic wave of that period. .

  Further, the server CPU 21 can determine the range of influence of S waves, killer pulses, long-period ground motions, and the like based on the earthquake early warning, observation sensor determination results, ground database, 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 earthquake early warning.

<2. Simulation examples of impacts of structures due to past earthquakes>
Next, an example of the effect prediction simulation 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 past earthquakes. 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 the 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 influence of the structure. To do. For example, when the accuracy of the natural period of a building is two stages, the object with high accuracy is displayed with “□”, the object with low accuracy is displayed with “△”, and the influence of the building is high. The case object is shown in red and the low case object is 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, maximum seismic intensity, and occurrence area can be input.

  The selected earthquake data display area 53 includes an earthquake name, maximum seismic intensity, epicenter (latitude, longitude, depth), magnitude, presence / absence of a long period, its frequency, presence / absence of a killer pulse, its frequency, influence, 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 map area display processing. In step S11, the server CPU 21 extracts structure information in the map area displayed in the map area 51 from the server storage 27 having the function of the structure database based on the position information of the structure.

  In step S <b> 12, the server CPU 21 stores structure information in the map area displayed in the map area 51 extracted in step S <b> 11 in the server RAM 23.

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

  In step S14, the server CPU 21 calculates the influence degree of each building based on the structure 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, etc. 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 building position information and the accuracy of the natural period of the building. For example, as in the screen example shown in FIG. 7, an object with high accuracy is displayed with “□”, an object with low accuracy is displayed with “△”, and an object with high building influence is displayed in red The object when it is low is shown in blue.

  FIG. 9 is a flowchart showing display processing of the past earthquake data search area and the selected earthquake data display area. In step S <b> 131, the server CPU 21 acquires the condition input in the past earthquake data search area 52.

  In step S132, the server CPU 21 extracts earthquake information from the earthquake database 2 based on the acquired input condition, 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

  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 such an example of a simulation simulation screen for the impact of a structure in the past, the user can grasp the accuracy of the impact according to the type of the object, and can grasp the impact of the structure by the color of the object. Can do. In the above simulation screen example, the accuracy of the natural period of the structure is represented by the type of the object, and the influence degree of the structure is represented by the color of the object. However, other modes 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. In the simulation, the impact prediction based on the past earthquake data is performed. However, the earthquake data may be set freely and the impact prediction based on the virtual earthquake data may be performed.

<3. Real-time structural impact prediction simulation example>
Next, a real-time structure effect prediction simulation example using the above-described hardware configuration example will be described.

  FIG. 10 is a diagram illustrating an example of a real-time structure impact 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 indicating a structure is displayed on the 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 influence of the structure. To do. For example, when the accuracy of the natural period of a building is two stages, the object with high accuracy is displayed with “□”, the object with low accuracy is displayed with “△”, and the influence of the building is high. The case object is shown in red and the low case object 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 in 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 of an S wave, a killer pulse, a long-period ground motion or the like in a structure closest to the current position or a previously registered structure 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.

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

  Next, 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 earthquake occurrence display area 65 will be described.

  FIG. 11 is a flowchart showing the alert display area display processing. In step S <b> 21, the server CPU 21 receives the earthquake early warning via the server communication unit 28. The earthquake early warning includes information such as the time of occurrence, epicenter, epicenter depth, magnitude, and maximum seismic intensity.

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

  In step S <b> 23, the terminal CPU 11 inquires the server 20 for the degree of influence of the structure closest to the current position or the previously registered structure with respect to the S wave, killer pulse, long-period ground motion, and the like, and acquires the server 20.

  In step S <b> 24, 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 the S wave, killer pulse, long-period ground motion, and the like.

  In step S <b> 25, the terminal CPU 11 updates the earthquake occurrence list and displays the earthquake occurrence list in the earthquake occurrence display area 65 via the terminal display unit 16.

  FIG. 12 is a flowchart showing display processing in the map display area. In step S31, the terminal CPU 11 inquires the server device 20 to obtain the degree of influence of the structure in the map area displayed in the map area 61 on the S wave, killer pulse, long-period ground motion, etc., for example, S wave, killer The influence of the structure is displayed in the map display area 61 for the pulse, the long-period ground motion, etc. having the highest influence.

  In step S <b> 32, the terminal CPU 11 inquires and acquires the identification information (ID) of the observation sensor in the map area displayed in the map area 51 from the server device 20.

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

  In step S <b> 34, 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 an example of the real-time structure impact prediction simulation screen, the user can grasp the accuracy of the impact level depending on the type of the object, and can grasp the impact level of the structure based on the color of the object. . Further, the actual shaking of the structure after the impact prediction can be grasped by the color of the object. In the above simulation screen example, the accuracy of the natural period of the structure is represented by the type of the object, the influence of the structure is represented by the color of the object, and the real-time shaking is represented by the change in the color of the object. Other aspects may be employed. For example, the accuracy of the natural period of the structure may be represented by the object color, the influence of the structure may be represented by the shade of the object color, and the real-time fluctuation may be represented by the blinking interval of the object color.

<4. Example of setting accuracy of fixed period of 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 items relating to the natural period of the structure are conditioned, and the accuracy of the natural period of the structure is determined.

  FIG. 13 is a diagram illustrating an example of a setting screen for inputting a natural period of a structure. This setting screen includes a structure address input field 81, a structure information input field 82, a structure height information input field 83, a natural period input field 84 based on design data, And a natural period input field 85 based on vibration measurement.

  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 82 and the height information of the structure input in the input field 83.

  For example, when information is input to the input field 82 and the input field 83, the server CPU 21 sets the natural period to “low” accuracy, and information is input to the input field 82, the input field 83, and the input field 84. When the natural period is set to “medium” and information is input to the input field 82, the input field 83, the input field 84, and the input field 85, the accuracy of the natural period is set to “high”. Accordingly, 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. Transition example of display screen>
FIG. 14 is a diagram illustrating a transition example 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 the shake prediction simulation button, the shake prediction real-time button, or the setting button is pressed on the Top screen 81, the server CPU 21 displays a login screen 82. When the login is successful, the server CPU 21 makes a transition from the login screen 82 to the shake prediction simulation screen 83, the shake prediction real time screen 84, or the setting screen 85 according to the pressed button. In such a screen transition, when the server device 20 receives the earthquake early warning, the server CPU 21 transitions from another screen to the shake prediction real-time screen 84. Thereby, it is possible to quickly grasp the earthquake impact prediction of the desired structure.

  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 that allows only the input field 82 and the input field 83 to be input is displayed, and the paying member displays the input field 82, the input field 83, the input field 84, and You may make it display the setting screen which enables input of all the input fields 85. FIG. As a result, it is possible to encourage membership in a paying member.

DESCRIPTION OF SYMBOLS 1 Structure database, 2 Earthquake database, 3 Prediction part, 4 Notification part, 5 Structure database, 6A acquisition part, 6B Observation sensor database, 7 Analysis part, 8 Prediction part, 9 Notification part, 10 Terminal apparatus, 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 voice output unit, 19 terminal storage, 20 server device, 21 server CPU, 22 server ROM , 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 display area, 71-75 input field, 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 position information of the structure, natural period, and accuracy of the natural period;
An earthquake database that records earthquake information including the period of seismic waves;
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 earthquake motion in units of structures;
A structure influence prediction system comprising: a notification unit that displays 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.   The notification 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 degree of influence of the structure. The structure impact prediction 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 position information of the structure, natural period, and accuracy of the natural period;
An acquisition unit for acquiring earthquake early warnings;
Based on the earthquake early warning, an analysis unit for analyzing 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 earthquake motion in units of structures;
A structure influence prediction system comprising: a notification unit that displays 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.   The notification 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 degree of influence of the structure. The structure impact prediction system according to claim 3, wherein the object is displayed on a map based on position information. It has an observation sensor database that records observation sensor information including the position information of the observation sensors installed in the structure and detection information indicating the magnitude of shaking detected by the observation sensors.
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 notification unit changes the type of the object indicating the structure according to the accuracy of the natural period of the structure, changes the color of the object according to the detection information, and changes the position information of the structure. The structure impact prediction system according to claim 5, wherein the object is displayed on a map based on the map. A prediction process for predicting the degree of influence of the structure due to earthquake motion in units of structures based on the natural period of the structure and the period of the seismic wave;
A method for predicting the influence of a building, comprising: a notifying step for displaying the degree of influence of the structure on a map based on position information of the structure and the accuracy of the natural period. An acquisition process for acquiring an earthquake early warning;
Based on the earthquake early warning, an analysis step for analyzing the period of the seismic wave,
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 earthquake motion in units of structures;
And a notifying step for displaying an influence degree of the structure on a map based on the positional information of the structure and the accuracy of the natural period. Prediction processing that predicts the degree of influence of the structure due to earthquake motion in units of structures based on the natural period of the structure and the period of the seismic wave;
A program that causes a computer to execute notification processing for displaying the degree of influence of a structure on a map based on the position information of the structure and the accuracy of the natural period. An acquisition process for acquiring an earthquake early warning,
Based on the earthquake early warning, analysis processing for analyzing the period of the seismic wave,
Based on the natural period of the structure and the period of the seismic wave, a prediction process for predicting the degree of influence of the structure due to earthquake motion in units of structures;
A program for causing a computer to execute a notification process for displaying an influence degree of the structure on a map based on the positional information of the structure and the accuracy of the natural period.

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