Earthquake occurrence state grasping method and earthquake occurrence state management system

Abstract

To accurately grasp an earthquake occurrence situation in an early stage by using a vibrometer at a construction site.SOLUTION: An earthquake occurrence situation grasping method for grasping an earthquake occurrence situation including vibration exceeding a predetermined amplitude of a construction site from an outside of the construction site on the basis of measurement data of ground vibration temporarily measured using a vibrometer at the construction site, wherein the vibrometer is capable of measuring only vibration of the predetermined amplitude or less, and a seismic intensity of the earthquake is predicted from the measurement data of the vibration of the predetermined amplitude or less.SELECTED DRAWING: Figure 7

Description

[Technical Field]

[0001] The present invention relates to a method for grasping an earthquake occurrence situation and a system for managing an earthquake occurrence situation. [Background technology]

[0002] At construction sites such as building construction sites and civil engineering sites, vibrations and noises generated by the construction are usually monitored using measuring equipment (hereinafter also referred to as vibration meters) (see, for example, Patent Document 1). When an earthquake occurs, the seismic intensity at the construction site is estimated (predicted) based on the seismic intensity measured by an official seismometer located near the construction site. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2003-83803 Summary of the Invention [Problem to be solved by the invention]

[0004] However, public seismometers are often installed at intervals of several tens of kilometers. As a result, the seismic intensity estimated by the seismometers can differ (diverge) from the actual seismic intensity, making it impossible to accurately grasp the earthquake occurrence situation (such as the magnitude of the shaking, such as seismic intensity, and the extent of damage), which can lead to delays in initial responses. In addition, vibration meters at construction sites can sometimes exceed the range of the earthquake shaking, making it impossible to obtain accurate seismic motion waveforms (measurement data).

[0005] The present invention has been made in view of the above-mentioned problems, and its object is to quickly and accurately grasp the occurrence of an earthquake using a vibration meter at a construction site. [Means for solving the problem]

[0006] The main invention for achieving the above-mentioned object is a method for grasping the occurrence of an earthquake, including vibrations exceeding a predetermined amplitude at a construction site, from outside the construction site based on measurement data of ground vibrations temporarily measured using a vibration meter at the construction site, wherein the vibration meter is capable of measuring only vibrations below the predetermined amplitude, and the seismic intensity of the earthquake is predicted from the measurement data of vibrations below the predetermined amplitude.

[0007] Other features of the present invention will become apparent from the description of this specification and the accompanying drawings. [Effects of the Invention]

[0008] According to the present invention, it is possible to grasp the occurrence of an earthquake early and accurately using a vibration meter at a construction site. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a diagram showing an example of the placement of seismometers M and the location of a construction site C. [Figure 2] FIG. 10 is a diagram showing a comparative example of seismic intensity prediction for construction site C. [Figure 3] FIG. 1 is a diagram showing an actual earthquake occurrence situation. [Figure 4] FIG. 2 is a schematic diagram showing an example of a construction site C. [Figure 5] 1 is an explanatory diagram of an earthquake occurrence situation management system according to an embodiment of the present invention; [Figure 6] Fig. 6A is a waveform showing an example of seismic motion, and Fig. 6B is a diagram showing a waveform recorded by the vibration meter 11 during the earthquake of Fig. 6A. [Figure 7] FIG. 1 is a schematic explanatory diagram of seismic intensity prediction in this embodiment. [Figure 8] 1 is a flowchart showing a method for grasping an earthquake occurrence situation according to an embodiment of the present invention. [Figure 9] FIG. 1 is a diagram showing the relationship between the maximum value of the P wave and the instrumental seismic intensity. [Figure 10] Figure 1 shows the relationship between the S-wave overshoot time and the instrumental seismic intensity. DETAILED DESCRIPTION OF THE INVENTION

[0010] At least the following matters will become clear from the description of this specification and the accompanying drawings.

[0011] (Aspect 1) A method for grasping the occurrence of an earthquake, including vibrations exceeding a predetermined amplitude at a construction site, from outside the construction site based on measurement data of ground vibrations temporarily measured using a vibration meter at the construction site, wherein the vibration meter is capable of measuring only vibrations below the predetermined amplitude, and the seismic intensity of the earthquake is predicted from the measurement data of vibrations below the predetermined amplitude.

[0012] According to the earthquake occurrence status grasping method of the first aspect, it is possible to grasp the earthquake occurrence status (specifically, seismic intensity) at the construction site early and accurately using a vibration meter at the construction site.

[0013] (Aspect 2) In the method for grasping an earthquake occurrence situation according to aspect 1, it is preferable to prepare a seismic intensity prediction formula indicating a relationship between the measurement data and seismic intensity in advance based on past earthquake records.

[0014] According to the earthquake occurrence situation grasping method of the second aspect, by creating a seismic intensity prediction formula in advance, it is possible to predict seismic intensity using the seismic intensity prediction formula.

[0015] (Aspect 3) In the earthquake occurrence situation grasping method according to aspect 2, it is preferable that the seismic intensity prediction formula is created by regression analysis or machine learning.

[0016] According to the earthquake occurrence situation grasping method of aspect 3, it is possible to improve the accuracy of predicting seismic intensity.

[0017] (Aspect 4) In the earthquake occurrence status grasping method according to any one of aspects 1 to 3, the seismic intensity of the earthquake may be predicted using information on a portion of the measurement data that has the predetermined amplitude of an S wave.

[0018] According to the earthquake occurrence status grasping method of the fourth aspect, it is possible to predict the seismic intensity based on the time (total time or maximum time) during which the S-wave has a predetermined amplitude.

[0019] (Aspect 5) In the earthquake occurrence status grasping method according to any one of aspects 1 to 4, the seismic intensity of the earthquake may be predicted using information on P waves of the measurement data that are smaller than the predetermined amplitude.

[0020] According to the earthquake occurrence status grasping method of the fifth aspect, the seismic intensity of an earthquake can be predicted based on information (maximum amplitude and duration) of P waves smaller than a predetermined amplitude.

[0021] (Aspect 6) In the earthquake occurrence situation grasping method according to any one of the first to fifth aspects, it is preferable that information indicating the position of the construction site and the seismic intensity corresponding to the construction site is displayed on a map.

[0022] According to the earthquake occurrence status grasping method of aspect 6, the earthquake occurrence status (seismic intensity) at the construction site can be visually understood.

[0023] (Aspect 7) In the method for grasping the occurrence status of an earthquake according to any one of aspects 1 to 6, it is desirable that there are a plurality of construction sites, and that the priority of earthquake response be determined based on the predicted seismic intensity for each of the construction sites.

[0024] According to the earthquake occurrence situation grasping method of aspect 7, when there are multiple construction sites, it is possible to determine which one should be given priority for response, thereby minimizing delays in the initial response.

[0025] (Aspect 8) An earthquake occurrence situation management system comprising a vibration meter that is installed at a construction site and temporarily measures ground vibrations, and a seismic intensity prediction unit that predicts the seismic intensity of an earthquake at the construction site, and which grasps the occurrence situation of an earthquake at the construction site from outside the construction site, including vibrations that exceed a predetermined amplitude, wherein the vibration meter is capable of measuring only vibrations that are equal to or less than the predetermined amplitude, and the seismic intensity prediction unit predicts the seismic intensity of the earthquake from the measurement data of the vibration meter that is equal to or less than the predetermined amplitude.

[0026] According to the earthquake occurrence status management system of the eighth aspect, it is possible to quickly and accurately grasp the earthquake occurrence status (seismic intensity, etc.) at the construction site using a vibration meter at the construction site.

[0027] === Implementation form === <<Earthquake Intensity Prediction (Comparative Example)>> Before describing the earthquake intensity prediction of this embodiment, a general earthquake intensity prediction (comparison example) will be described. FIG. 1 is a diagram showing an example of the placement of seismometers M and the location of a construction site C. FIG. 2 is a diagram showing a comparative example of seismic intensity prediction for the construction site C. FIG. 3 is a diagram showing the actual occurrence of an earthquake. Note that FIGS. 1 to 3 show maps of the same location.

[0028] Seismometers M are devices that measure and record seismic motion (ground movement) caused by earthquakes, and are installed throughout the country by public institutions (such as the Japan Meteorological Agency and local governments). As shown in Figure 1, seismometers M are installed at designated observation points (four observation points in this example) spaced several kilometers apart (actually several tens of kilometers apart). Measurements by seismometers M are constantly being taken, and when an earthquake occurs, seismic intensity is calculated based on the measured seismic motion. The Japan Meteorological Agency collects information from seismometers M installed in various locations in real time and publishes it as seismic intensity information.

[0029] Construction site C is a site where construction work is being carried out on structures such as buildings, bridges, and roads. In Figure 1, there are multiple construction sites C, and the number is greater than the number of seismometers M. Furthermore, multiple construction sites C are scattered around the area, with the distances between them varying. Note that construction site C is not permanent, but exists only while construction work is being carried out (construction period) (it will cease to exist once construction is completed).

[0030] Here, when an earthquake occurs, it is necessary to understand the situation at construction site C. Generally, the seismic intensity at the site is estimated (predicted) using the seismic intensity (seismic intensity announced by the Japan Meteorological Agency) of seismometer M, which is close to construction site C. For example, in Figure 2, the seismic intensity of each seismometer M announced by the Japan Meteorological Agency after the earthquake is "seismic intensity 4." In this case, the seismic intensity at construction site C, which is within the area surrounded by the dashed line in the figure, can also be predicted to be "seismic intensity 4."

[0031] However, depending on the location, the seismic intensity predicted by the seismometer M may differ from the actual seismic intensity.

[0032] For example, area R (the hatched area) in Figure 3 is an area that was once a river. The ground in this area R is soft and prone to shaking. In the case of Figure 3, construction site C (surrounded by a circle) located in area R actually experienced a seismic intensity of "6 lower."

[0033] In this way, there was a possibility that the seismic intensity predicted by seismometer M would differ from the actual seismic intensity, which could have delayed the initial response at construction site C in the event of an earthquake.

[0034] Therefore, in this embodiment, it is possible to grasp the occurrence status of an earthquake (seismic intensity, etc.) early and accurately.

[0035] <<About Construction Site C>> Fig. 4 is a schematic diagram showing an example of a construction site C. The construction site C shown in Fig. 4 is provided with a temporary fence 1, a monitor 2, and a monitoring system 10 (a vibration meter 11 and a camera 12).

[0036] Furthermore, the vibrations generated at construction site C have a significant impact on nearby residents, and standards for vibrations are set by law and ordinance. For this reason, as shown in Figure 4, a vibration meter 11 is often installed at construction site C to monitor the vibrations generated by the construction work.

[0037] The temporary fence 1 is a component that separates the construction site C from the outside during construction work at the construction site C, and is set up to surround the perimeter of the construction site C. The temporary fence 1 is set up to prohibit entry by anyone other than those involved in the construction work, to reduce noise, to prevent injury from falling objects, and to prevent theft.

[0038] The monitor 2 is installed in the temporary fence 1 and displays the measured value (vibration value) measured by the vibration meter 11. The monitor 2 may be installed in a location other than the temporary fence 1.

[0039] The monitoring system 10 is a system for monitoring vibrations, noise, and the like during construction work at a construction site C. Figure 4 shows a vibration meter 11 and a camera 12 of the monitoring system 10 (see Figure 5 for the entire monitoring system 10).

[0040] The vibrometer 11 is temporarily installed within the construction site C (on the ground surface in the figure) to measure ground vibrations at the construction site C. A well-known vibrometer can be used as the vibrometer 11. The vibrometer 11 of this embodiment is equipped with a sensor 11A (see FIG. 5) that detects vibrations (ground vibrations). The vibrometer 11 measures ground vibrations using the sensor 11A and acquires measurement data such as vibration waveforms and vibration values.

[0041] Here, "temporarily" means at least a part of the period from when the vibration meter 11 is installed at the target construction site C until the completion of construction. The vibration meter 11 then performs measurements continuously (for example, 24 hours per day) during that period. This makes it possible to monitor vibrations at the construction site C. Furthermore, even if an earthquake suddenly occurs, it is possible to grasp the earthquake occurrence situation (seismic intensity in this embodiment).

[0042] Specific examples of methods for monitoring vibration include displaying the vibration values ​​measured by the vibration meter 11 on the monitor 2 in real time, sounding an alarm when the measured value of the vibration meter 11 exceeds a preset threshold, and enabling construction personnel to obtain the measured values ​​of the vibration meter 11 from a terminal such as a smartphone (user terminal 30, described below). By monitoring vibration in this way, construction work can be carried out so that the vibrations generated by the construction work do not exceed the standard value.

[0043] In particular, as shown in Figure 4, by displaying the vibration values ​​measured by the vibration meter 11 on a monitor 2 installed on the temporary fence 1 so that the vibration values ​​can be seen from outside the construction site C, it is possible to reduce the anxiety of nearby residents and gain their trust.

[0044] Furthermore, a sound level meter (not shown) may be provided at the construction site C, and the monitor 2 may display the noise level together with the vibration level.

[0045] The camera 12 is an imaging device that captures images (or videos) showing the situation at the construction site C. In FIG. 4, the camera 12 is fixed to the temporary fence 1 at the construction site C. However, this is not limited to this, and the camera 12 may be placed (fixed) at a location other than the temporary fence 1.

[0046] The monitoring system 10 of this embodiment also includes a storage unit 13, a control unit 14, and a communication unit 15 (see FIG. 5), which will be described later.

[0047] <<Earthquake occurrence status management system>> 5 is an explanatory diagram of the earthquake occurrence situation management system of this embodiment. The earthquake occurrence situation management system shown in FIG. 5 includes a monitoring system 10 installed at each construction site C, a cloud server 20, and a user terminal 30.

[0048] <Surveillance System 10> As shown in FIG. 5, a monitoring system 10 of this embodiment includes a vibration meter 11, a camera 12, a storage unit 13, a control unit 14, and a communication unit 15.

[0049] A monitoring system 10 is provided at each construction site C. A communication unit 15 of the monitoring system 10 is connected to a cloud server 20 via a network N. The monitoring system 10 (communication unit 15) is connected to the network N by wire or wirelessly (for example, Wi-Fi (registered trademark)). The communication unit 15 is also connected to a monitor 2 attached to the temporary fence 1 by wire or wirelessly (for example, Wi-Fi (registered trademark), a mobile phone line, Bluetooth (registered trademark), etc.).

[0050] The storage unit 13 stores various data and programs (for example, a program for executing monitoring).

[0051] The control unit 14 controls each unit of the monitoring system 10. For example, the control unit 14 controls the communication unit 15 to transmit the vibration values ​​(measurement data) measured by the vibrometer 11 to the monitor 2 or the cloud server 20. Note that the vibrometer 11 may be provided with a control unit and a communication unit so that the measurement data is transmitted directly to the monitor 2 or the cloud server 20.

[0052] Furthermore, the control unit 14 controls the communication unit 15 to transmit image data captured by the camera 12 to the cloud server 20. Note that the camera 12 may be provided with a control unit and a communication unit so that the image data is transmitted directly to the cloud server 20.

[0053] <Cloud Server 20> The cloud server 20 is a server built in a cloud environment (in other words, outside the construction site C). In this embodiment, the cloud server 20 is a server for monitoring ground vibrations and grasping the occurrence status of an earthquake, and here, a server having a storage unit 21, a communication unit 22, and a control unit 23 is exemplified.

[0054] When the communication unit 22 of the cloud server 20 receives the measurement data from the vibration meter 11 of each construction site C, the control unit 23 creates a vibration database and stores it in the memory unit 21. The vibration database is a data group in which the measurement data for each construction site C is associated with the name, location, measurement time, etc. of the construction site C. In this embodiment, the control unit 23 converts the measurement data of ground vibrations (vibration value, waveform, etc.) measured by the vibration meter 11 into a "seismic intensity" that indicates the strength of the shaking. This makes the level of shaking easier to understand for non-experts, making it easier to grasp the situation of an earthquake occurrence.

[0055] As described above, image data captured by the camera 12 at each construction site C is also transmitted to the cloud server 20. When the communication unit 22 of the cloud server 20 receives the image data of each construction site C, the control unit 23 creates an image database and stores it in the storage unit 21. The image database is a data group in which image data is associated with the name, location, and image capture time of each construction site C.

[0056] The storage unit 21 also stores a map database. The map database is a data group that associates the name and location (latitude, longitude, etc.) of each construction site C with map image data. The map database also includes information (data) related to the seismometer M, as well as the construction site C.

[0057] By configuring a data management system in this way in which multiple construction sites C and a cloud server 20 are connected via a network N, data measured at multiple construction sites C can be centrally managed using the network N.

[0058] Users (for example, construction workers) can obtain seismic intensity and image data for each construction site C simply by accessing the cloud server 20 from the user terminal 30 via the network N. In other words, as long as there is an environment where they can connect to the network N, they can access the cloud server 20 from anywhere (even from outside the construction site C), and can quickly and accurately grasp the earthquake occurrence situation (seismic intensity, etc.) at each construction site C.

[0059] The measurement data may be stored in a server (computer) that can be centrally managed, not limited to the cloud server 20. In this case, the server and multiple construction sites C (monitoring systems 10) may be connected via the network N.

[0060] The cloud server 20 of this embodiment estimates (predicts) the seismic intensity of an earthquake based on the data received from each construction site C (measurement data of the vibration meter 11).

[0061] <<About the measurement data of the vibration meter 11>> The vibration meter 11 installed at construction site C is a device that measures relatively small vibrations such as ground vibrations, and has a small upper limit (amplitude range) of vibrations that it can record. For this reason, the measurement data may go off the scale during an earthquake.

[0062] Fig. 6A is a waveform showing an example of seismic motion, and Fig. 6B is a diagram showing the waveform recorded by the vibration meter 11 during the earthquake of Fig. 6A. The dashed line in Fig. 6A indicates the maximum amplitude (corresponding to a predetermined amplitude) that can be recorded by the vibration meter 11.

[0063] In the record (FIG. 6B) by the vibration meter 11 during an earthquake, it can be seen that the portion exceeding the dashed line in FIG. 6A is off the scale and not recorded. In this embodiment, the seismic intensity of an earthquake is predicted from the off-scale recorded waveform (measurement data) as shown in FIG.

[0064] <<Outline of seismic intensity prediction in this embodiment>> FIG. 7 is a schematic explanatory diagram of seismic intensity prediction in this embodiment.

[0065] In this embodiment, as shown in FIG. 7, the seismic intensity is predicted using information on P waves that are not over-excited (i.e., smaller than a predetermined amplitude) and information on the over-excited portion of S waves from the earthquake record (FIG. 6).

[0066] As information on the P wave, the magnitude of the maximum amplitude of the P wave (the point indicated by ▼ in FIG. 7) and the duration of the P wave can be used.

[0067] Furthermore, as information on the S-wave, the total time or maximum (longest) time of the part that is out of range (part that has a predetermined amplitude) can be used.

[0068] Note that predictions may be made using any one of the above information, or a combination of multiple pieces of information (for example, a combination of P-wave information and S-wave information). As will be described later, by creating a seismic intensity prediction formula from past earthquake records, when an earthquake occurs, the seismic intensity can be predicted using the seismic intensity prediction formula.

[0069] <<Methods for determining earthquake occurrence status>> FIG. 8 is a flow chart showing the earthquake occurrence situation grasping method of this embodiment.

[0070] First, (before an earthquake occurs), information on past earthquake records is collected and analyzed (S01). In other words, the relationship between past earthquake records and seismic intensity is analyzed.

[0071] Figure 9 shows the relationship between the maximum P-wave value and the measured seismic intensity. The horizontal axis of Figure 9 represents waveform information (here, the maximum P-wave value) and is plotted on a logarithmic scale. The vertical axis represents the measured seismic intensity (actual seismic intensity).

[0072] As shown in Figure 9, there is a correlation between the maximum P wave value and the instrumental seismic intensity. In other words, the larger the maximum P wave value, the larger the instrumental seismic intensity tends to be.

[0073] Fig. 10 shows the relationship between the S-wave's overshoot time (total time until a given amplitude is reached) and the measured seismic intensity. The horizontal axis of Fig. 10 represents waveform information (here, the total overshoot time) and is plotted on a logarithmic scale. The vertical axis represents the measured seismic intensity (actual seismic intensity).

[0074] In the case of Figure 10 (S-wave full-swing time), there is also a tendency for the measured seismic intensity to increase as the full-swing time increases. Note that while an example of the maximum P-wave value and the full-swing time of the S-wave (total time) is shown here, the duration of the P-wave and the maximum full-swing time of the S-wave (the longest of multiple full-swing portions) can also be evaluated in the same way.

[0075] Next, a seismic intensity prediction formula is created (S02). In this embodiment, a seismic intensity prediction formula (seismic intensity prediction formula) is created by regression analysis using past earthquake records.

[0076] If the seismic intensity is represented by SI, then it is possible to determine the seismic intensity prediction formulas such as the following formulas (1) to (4). SI = a × log [maximum P wave value] + b (1) SI = c × log [swing time (total or maximum)] + d (2) SI = e × log [duration of P wave] + f (3) SI = g × log [maximum P wave value] + h × log [time to full swing] + i (4) In each equation, a to i are parameters. As mentioned above, one piece of information from the measurement data may be used (see equations (1) to (3)), or multiple pieces of information may be combined (see equation (4)).

[0077] Then, a regression analysis is performed using the maximum value of the P wave, the duration of the P wave, the total value of the S wave overrun time, and the maximum value of the S wave overrun time as explanatory variables (causes), and the seismic intensity SI as the objective variable (result), to determine each parameter (a, b, c,...). A seismic intensity prediction formula can be created by substituting the determined parameters into the set formula.

[0078] In this embodiment, the seismic intensity prediction formula was created by regression analysis as described above, but this is not limited to this. For example, machine learning, in which a computer learns large amounts of data, may be used. In other words, the seismic intensity prediction formula may be created by determining parameters from the learning results of seismic intensity when the maximum value of P waves, the duration of P waves, the time (total time) for S waves to reach their full swing, the maximum value of S waves to reach their full swing, etc. are used as feature quantities.

[0079] The obtained relational expression is stored in, for example, the storage unit 21 of the cloud server 20.

[0080] When an earthquake occurs, ground vibrations are measured by the vibrometers 11 installed at each construction site C, and measurement data of the ground vibrations is acquired (S03). In this embodiment, ground vibrations are measured at each of the multiple construction sites C. As described above, the measurement of ground vibrations is carried out continuously for at least a portion of the period during which the construction work is carried out (the construction period).

[0081] Furthermore, the camera 12 captures an image of the construction site C. As a result, image data showing the state (situation) of the construction site C is acquired.

[0082] Next, the control unit 14 of the monitoring system 10 controls the communication unit 15 to transmit the measurement data (data indicating vibration information) measured by the vibration meter 11 and the image data captured by the camera 12 to the cloud server 20 via the network N. As a result, each piece of data (measurement data and image data) is transmitted to the cloud server 20.

[0083] When the communication unit 22 of the cloud server 20 receives the measurement data of the vibration meter 11, the control unit 23 creates a vibration database that associates the measurement data with the name, location, measurement time, etc. of the construction site C, and stores the database in the storage unit 21. At this time, the control unit 23 also predicts the seismic intensity (seismic intensity SI) from the measurement data of the vibration meter 11 (measurement data of ground vibration) using the seismic intensity prediction formula stored in the storage unit 21 (S04). In this embodiment, the control unit 23 of the cloud server 20 corresponds to the seismic intensity prediction unit.

[0084] In this embodiment, the control unit 23 of the cloud server 20 predicts the seismic intensity using a seismic intensity prediction formula, but this is not limited to this. For example, the seismic intensity prediction formula may be stored in the memory unit 13 of the monitoring system 10, and the seismic intensity may be predicted by the control unit 14 of the monitoring system 10. The calculated seismic intensity (seismic intensity SI) may then be transmitted to the cloud server 20. In this case, the control unit 14 of the monitoring system 10 corresponds to the seismic intensity prediction unit.

[0085] In addition, when the communication unit 22 of the cloud server 20 receives image data (or video data) captured by the camera 12, the control unit 23 creates an image database that associates the image data with the name, location, and shooting time of the construction site C, similar to the vibration database, and stores the image data in the memory unit 21.

[0086] When an earthquake occurs and a user accesses the cloud server 20 from the user terminal 30, the control unit 23 of the cloud server 20 refers to the memory unit 21 and causes the user terminal 30 to display a map of the target location (see FIG. 1, etc.), and also displays on the map information indicating the location of each construction site C and the earthquake occurrence status (seismic intensity) corresponding to the construction site C (S05). For example, it is advisable to display the mark (■) of each construction site C in FIG. 1 in a different color depending on the seismic intensity. This makes it easier to visually understand the earthquake occurrence status of each construction site C.

[0087] Furthermore, when the user clicks on the mark (■) of a construction site C on the map, an image captured by the camera 12 at that construction site C (an image showing the earthquake occurrence situation) may be displayed. By displaying an image in this way, for example, if there is damage within the site, the damage situation can be seen. Therefore, the earthquake occurrence situation at each construction site C can be grasped more accurately.

[0088] The user then determines the priority of earthquake response based on the earthquake occurrence status of each construction site C (S06). Specifically, if there is a construction site C with a seismic intensity of 4 and another with a seismic intensity of 6-lower, as shown in Figure 3, the construction site C with the higher seismic intensity (here, seismic intensity 6-lower) will be investigated first. This will help to reduce delays in the initial response.

[0089] Furthermore, in this embodiment, the earthquake occurrence situation (seismic intensity) at the construction site C is predicted, but this is not limiting, and the earthquake occurrence situation (seismic intensity) around the construction site C can also be predicted.

[0090] For example, based on the seismic intensity predicted from the measurement data of the vibration meter 11 at the construction site C and the seismic intensity measurement results (seismic intensity published by the Japan Meteorological Agency) from the nearby seismometer M, it is possible to grasp the earthquake occurrence situation around the construction site C. This makes it possible to predict the damage situation of structures (for example, bridges, roads, buildings, etc.) around the construction site C, and to respond quickly.

[0091] Furthermore, for example, based on the measurement data (seismic intensity) of the vibration meters 11 at two construction sites C (the target construction site C and another construction site C), it is also possible to grasp the earthquake occurrence situation around the target construction site C. In this case, the same effect as above can be obtained.

[0092] As described above, in this embodiment, the seismic intensity of an earthquake at the construction site C is predicted from the measurement data (data of vibrations below a predetermined amplitude) of the vibration meter 11 at the construction site C. This makes it possible to quickly and accurately grasp the earthquake occurrence situation at the construction site C.

[0093] ===Other embodiments=== The above-described embodiments are provided to facilitate understanding of the present invention and are not intended to limit the present invention. The present invention may be modified or improved without departing from the spirit thereof, and the present invention includes equivalents thereof.

[0094] In the above-described embodiment, one vibration meter 11 is installed at the construction site C, but this is not limiting and multiple (two or more) vibration meters may be installed. In this case, the monitor 2 may display the measurement values ​​of all the vibration meters 11, or the measurement value of a specific vibration meter 11. Alternatively, the maximum measurement value (maximum value) of the multiple vibration meters 11 may be displayed. Similarly, when predicting seismic intensity, for example, the measurement value (seismic intensity) of a specific vibration meter 11 or the maximum measurement value may be used.

[0095] Furthermore, two or more cameras 12 may be installed at the construction site C, each capturing an image of a different location within the construction site C. This allows the state (situation) of the construction site C to be grasped more accurately.

[0096] Furthermore, the occurrence of an earthquake can be grasped in a similar manner not only at the construction site C but also at other locations where vibrations are measured (for example, factories). [Explanation of symbols]

[0097] 1 temporary enclosure, 2 monitors, 10. Surveillance systems, 11 vibration meters, 11A sensors, 12 cameras, 13 memory unit, 14 control unit, 15 communication unit, 20 cloud servers, 21 memory unit, 22 communication unit, 23 control unit, 30 user terminals, C construction site, M seismometer

Claims

1. A method for grasping the occurrence of an earthquake that includes vibrations exceeding a predetermined amplitude at a construction site from outside the construction site based on measurement data of ground vibrations that are temporarily measured using a vibration meter at the construction site, comprising: the vibrometer is capable of measuring only vibrations having an amplitude equal to or less than the predetermined amplitude; predicting the seismic intensity of the earthquake from the measurement data of vibrations equal to or smaller than the predetermined amplitude; A method for grasping the occurrence status of an earthquake.

2. 2. The earthquake occurrence situation grasping method according to claim 1, A seismic intensity prediction formula showing the relationship between the measurement data and seismic intensity is created in advance based on past earthquake records. A method for grasping the occurrence status of an earthquake.

3. The earthquake occurrence situation grasping method according to claim 2, The seismic intensity prediction formula is created by regression analysis or machine learning. A method for grasping the occurrence status of an earthquake.

4. The earthquake occurrence situation grasping method according to any one of claims 1 to 3, predicting the seismic intensity of the earthquake using information on the portion of the measurement data that has the predetermined amplitude of S waves; A method for grasping the occurrence status of an earthquake.

5. The earthquake occurrence situation grasping method according to any one of claims 1 to 3, predicting the seismic intensity of the earthquake by utilizing information on P waves of the measurement data that are smaller than the predetermined amplitude; A method for grasping the occurrence status of an earthquake.

6. The earthquake occurrence situation grasping method according to any one of claims 1 to 3, Displaying information indicating the location of the construction site and the seismic intensity corresponding to the construction site on a map. A method for grasping the occurrence status of an earthquake.

7. The earthquake occurrence situation grasping method according to any one of claims 1 to 3, There are multiple construction sites, determining earthquake response priorities based on the predicted seismic intensity for each of said construction sites; A method for grasping the occurrence status of an earthquake.

8. A vibration meter that is installed at the construction site to temporarily measure ground vibrations; a seismic intensity prediction unit for predicting the seismic intensity of an earthquake at the construction site; An earthquake occurrence situation management system that grasps the occurrence situation of an earthquake including vibrations exceeding a predetermined amplitude at the construction site from outside the construction site, the vibrometer is capable of measuring only vibrations having an amplitude equal to or less than the predetermined amplitude; the seismic intensity prediction unit predicts the seismic intensity of the earthquake from measurement data of vibrations equal to or less than the predetermined amplitude measured by the vibration meter; An earthquake occurrence status management system characterized by:

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