JP7429614B2 - Shaking performance relative evaluation system and network sensor - Google Patents

Description

The present invention relates to a relative shaking performance evaluation system and a network sensor.

Various shaking performance evaluation systems for evaluating the shaking performance of buildings have been proposed (for example, see Patent Document 1). In addition, in Patent Document 1, since it is a building health evaluation system, it will be described as a building health evaluation system 900. Here, "swaying performance", for example, in the case of a building, means performance related to the ease or difficulty of shaking of the building.

FIG. 14 is a diagram shown to explain a building health evaluation system 900 described in Patent Document 1. As shown in FIG. 14, the building health evaluation system 900 described in Patent Document 1 includes acceleration measurement units (acceleration sensors S1, S2) provided in each layer (top layer, middle layer, and bottom layer) of the building BL. , S3), a determination processing section 920, a database 930, and an information notification section 940. The determination processing section 920 includes a natural period detection section 921 , a responsiveness derivation section 922 , a deformation degree derivation section 923 , a plasticity degree derivation section 924 , an information notification control section 925 , and a soundness evaluation section 926 .

The building health evaluation system 900 configured as described above is derived by the responsiveness deriving unit 922 based on the measurement data measured by the acceleration measuring unit (acceleration sensors S1, S2, S3) provided in the building BL. The soundness of the building BL is determined based on the degree of response to the input earthquake motion, the degree of deformation derived by the degree of deformation derivation section 923, and the degree of plasticity derived by the degree of plasticity derivation section 924. This determination result is transmitted by the information notification control section 925 to the information notification section 940, and the determination result determined by the health evaluation section 926 is displayed on a display screen (not shown).

JP2017-227507A

A building health evaluation system 900 described in Patent Document 1 is a system that evaluates the shaking performance (building health) of a certain building and displays the evaluation results. For this reason, it is not possible to evaluate the shaking performance (building soundness) of a large number of buildings all at once, and then relatively evaluate the shaking performance (building soundness) of many buildings based on the evaluation results. .

The present invention has been made in view of the above-mentioned circumstances, and it provides a shaking performance that can collectively evaluate the shaking performance of a large number of buildings and relatively evaluate the shaking performance of a large number of buildings based on the evaluation results. The purpose is to provide a relative evaluation system. Another object of the present invention is to provide a network sensor that can be suitably used as a network sensor for such a relative shaking performance evaluation system.

[1] The shaking performance relative evaluation system of the present invention includes an acceleration sensor, a payload data creation unit that creates payload data including shaking information based on a vibration waveform outputted by the acceleration sensor, and a payload data creation unit that includes the payload data creation unit. a transmitting unit that transmits the payload data, and a power supply that serves as a power supply source to the payload data generating unit and the transmitting unit, and a predetermined position of each building in a plurality of buildings to be subjected to relative shaking performance evaluation each network sensor installed in the building and the payload data transmitted from each network sensor are received via a receiving unit, the shaking information included in the payload data is analyzed, and the shaking performance of each building is determined. A shaking performance relative evaluation device having an analysis section that performs relative evaluation.

[2] In the shaking performance relative evaluation system of the present invention, each of the network sensors further includes an initial microtremor detection unit that detects an initial microtremor when an earthquake occurs from the vibration waveform output by the acceleration sensor, and the It is preferable that the payload data creation section creates payload data including shaking information based on the vibration waveform after the initial microtremor detecting section detects the initial microtremor.

[3] In the shaking performance relative evaluation system of the present invention, when the initial tremor detection section detects the initial tremor when the earthquake occurs, the initial tremor detection section supplies power from the power source to the payload data creation section to detect the corresponding It is preferable to start the payload data creation section.

[4] In the shaking performance relative evaluation system of the present invention, each of the network sensors further includes a GNSS receiver that receives a GNSS signal from a GNSS satellite, and the payload data creation unit includes a , it is preferable to create payload data including time information obtained from the GNSS receiver.

[5] In the shaking performance relative evaluation system of the present invention, it is preferable that the receiving unit is installed between each network sensor and the shaking performance relative evaluation device, or within the shaking performance relative evaluation device. .

[6] In the shaking performance relative evaluation system of the present invention, each of the network sensors is installed in at least one of the top of the building, the base of the building, and the land around the building for each of the buildings. It is preferable.

[7] In the shaking performance relative evaluation system of the present invention, LPWA (Low Power Wide Area-network) is used as a communication means between the transmitting unit and the receiving unit, and the payload data creation unit As information, the vibration waveform is A/D converted in synchronization with a clock signal of a predetermined sampling period to obtain vibration waveform component information expressed by a predetermined number of bits for each clock signal, and the vibration waveform component information is obtained. The analyzer has a function of extracting the characteristics of the vibration waveform from the vibration waveform to obtain a shaking index representing the characteristics of the vibration waveform, and creating payload data including the vibration index, and the analysis unit has a function of extracting the characteristics of the vibration waveform from It is preferable that the building has a function of analyzing the shaking index and performing a relative evaluation of the shaking performance of each building.

[8] In the shaking performance relative evaluation system of the present invention, a telephone line or the Internet is used as a communication means between the transmitting unit and the receiving unit, and the payload data creation unit uses the vibration as the shaking information. The waveform is A/D converted in synchronization with a clock signal of a predetermined sampling period to obtain vibration waveform component information expressed by a predetermined number of bits for each clock signal, and payload data containing the vibration waveform component information is obtained. It has the ability to create
The analysis unit extracts the characteristics of the vibration waveform from the vibration waveform component information included in the payload data, obtains a shaking index representing the characteristics of the vibration waveform, and analyzes the vibration index to determine each of the vibration waveforms. It is preferable to have a function of performing a relative evaluation of the shaking performance of a building.

[9] In the shaking performance relative evaluation system of the present invention, it is preferable that the shaking index includes at least one of seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and shaking duration.

[10] In the shaking performance relative evaluation system of the present invention, the shaking performance relative evaluation device further includes an earthquake information acquisition unit that acquires information regarding earthquakes from the Japan Meteorological Agency, and the analysis unit performs the shaking performance relative evaluation. When doing so, it is preferable to use information on earthquakes, including the epicenter, issued by the Japan Meteorological Agency.

[11] In the shaking performance relative evaluation system of the present invention, it is preferable that the analysis unit does not perform the shaking performance relative evaluation during a period when information regarding an earthquake is not received from the Japan Meteorological Agency.

[12] In the shaking performance relative evaluation system of the present invention, the analysis unit determines an "average shaking trend line" for the plurality of buildings based on the shaking index and information regarding the earthquake; It is preferable to perform the relative evaluation of the shaking performance from the "average shaking trend line" and the shaking index obtained corresponding to each building.

[13] In the shaking performance relative evaluation system of the present invention, the shaking performance relative evaluation includes a "comprehensive shaking performance relative evaluation of the land surrounding the building and the building" and a "swaying performance relative evaluation of the land surrounding the building". It is preferable that at least one of "evaluation" and "relative evaluation of building shaking performance" is included.

[14] In the shaking performance relative evaluation system of the present invention, when performing the "comprehensive shaking performance relative evaluation of the land and buildings surrounding the building", each network installed at the top of each building is When the shaking index corresponding to each building included in the payload data sent from the sensor is taken as the "top shaking index" corresponding to each building, the , find the "average shaking trend line" for the plurality of buildings according to the distance from the epicenter included in the earthquake information, and calculate the "average shaking trend line" corresponding to each of the buildings. It is preferable to perform the above-mentioned ``comprehensive relative sway performance evaluation of the land and building around the building'' based on the ``top sway index''.

[15] In the shaking performance relative evaluation system of the present invention, when performing the above-mentioned "relative evaluation of shaking performance of the land surrounding the building", transmission from each network sensor installed on the land surrounding each building is performed. When the shaking index corresponding to the land surrounding each building included in the payload data is taken as the "land shaking index" corresponding to the land surrounding each building, the land shaking index corresponding to the land surrounding each building is Based on the "land shaking index," the "average shaking trend line" of the plurality of buildings is determined according to the distance from the epicenter included in the information regarding the earthquake, and the "average shaking trend line" is calculated based on the "land shaking index". It is preferable to perform the "relative evaluation of the shaking performance of the land around the building" from the "land shaking index" corresponding to the land around each building.

[16] In the shaking performance relative evaluation system of the present invention, when performing the "relative evaluation of building shaking performance," the information contained in the payload data transmitted from the network sensor installed at the top of each building The shaking index corresponding to each building is defined as the "top shaking index" corresponding to each building, and the shaking index corresponding to each building included in the payload data transmitted from the network sensor installed at the base of each building is When the shaking index corresponding to the above is taken as the "base shaking index" corresponding to each building, the ratio of the "top shaking index" corresponding to each building concerned and the "base shaking index" corresponding to each building is calculated as follows: The "shaking index ratio" of the building is determined, and the "average shaking trend line" of the plurality of buildings is determined based on the "shaking index ratio" of each building. It is preferable to perform the "relative evaluation of the shaking performance of the building" from the "swaying index ratio" of each building.

[17] In the sway performance relative evaluation system of the present invention, when the analysis unit performs the sway performance relative evaluation, it calculates a deviation value based on the degree of deviation from the "average sway trend line". It is preferable that the relative evaluation of the sway performance is performed based on the deviation value obtained for each building.

[18] In the shaking performance relative evaluation system of the present invention, the shaking performance relative evaluation performed by the analysis section includes the shaking performance relative evaluation of the plurality of buildings based on the shaking performance relative evaluation performed corresponding to each of the buildings. Preferably, the method includes a process of ranking the relative evaluation of the shaking performance of each of the buildings.

[19] In the sway performance relative evaluation system of the present invention, the sway performance relative evaluation device further includes an accumulation section that accumulates the sway performance relative evaluation analyzed by the analysis section, and the analysis section stores the sway performance relative evaluation analyzed by the analysis section. Preferably, the aging of each building is determined using the relative evaluation of shaking performance accumulated in the building.

[20] In the shaking performance relative evaluation system of the present invention, each of the network sensors further includes an interrupt signal generation unit that generates an interrupt signal for creating alive information indicating the current state of each network sensor. It is preferable that the interrupt signal generating section supplies the interrupt signal to the payload data generating section at predetermined time intervals.

[21] In the shaking performance relative evaluation system of the present invention, it is preferable that the payload data creation unit creates alive information including information representing the state of the network sensor every time the interrupt signal is given.

[22] In the shaking performance relative evaluation system of the present invention, it is preferable that the alive information is configured as payload data of 128 bits or less.

[23] The network sensor of the present invention includes an acceleration sensor, a payload data creation unit that creates payload data including shaking information based on a vibration waveform output by the acceleration sensor, and the payload created by the payload data creation unit. The present invention is characterized in that it includes a transmitter that transmits data, and a power source that serves as a power supply source to the payload data generator and the transmitter.

[24] The network sensor of the present invention further includes an initial tremor detection unit that detects an initial tremor when an earthquake occurs from the vibration waveform output by the acceleration sensor, and the payload data creation unit detects the initial tremor. It is preferable to create payload data including shaking information based on the vibration waveform after the detection unit detects the initial microtremor.

[25] In the network sensor of the present invention, when the initial tremor detection unit detects the initial tremor when the earthquake occurs, the initial tremor detection unit supplies power from the power source to the payload data creation unit to create the payload data. It is preferable to activate the section.

[26] The network sensor of the present invention further includes a GNSS receiver that receives a GNSS signal from a GNSS satellite, and the payload data creation section includes, in addition to the shaking information, time information obtained from the GNSS receiver. It is preferable to create payload data that includes information.

[27] In the network sensor of the present invention, the payload data creation unit A/D converts the vibration waveform as the vibration information in synchronization with a clock signal of a predetermined sampling period, and converts the vibration waveform into a digital signal for each clock signal. Obtain vibration waveform component information expressed by a predetermined number of bits, extract the characteristics of the vibration waveform from the vibration waveform component information, obtain a shaking index representing the characteristics of the vibration waveform, and obtain a payload containing the vibration index. It is preferable to have the function of creating data.

[28] The network sensor of the present invention further includes an interrupt signal generation unit that generates an interrupt signal for creating alive information indicating the current status of the network sensor, and the interrupt signal generation unit It is preferable that a signal is given to the payload data creation section at predetermined time intervals.

[29] In the network sensor of the present invention, the payload data creation unit creates alive information including identification information of the network sensor and information representing the state of the network sensor every time the interrupt signal is given. is preferred.

[30] In the network sensor of the present invention, it is preferable that the alive information is configured as payload data of 128 bits or less.

[31] In the network sensor of the present invention, it is preferable that the network sensor is a network sensor used in the relative shaking performance evaluation system of the present invention.

[32] The network sensor of the present invention includes an acceleration sensor, a payload data creation unit that creates payload data including shaking information based on a vibration waveform output by the acceleration sensor, and the payload created by the payload data creation unit. a transmitter for transmitting data; an initial tremor detector for detecting initial tremors when an earthquake occurs from vibration waveforms output by the acceleration sensor; an interrupt signal generation section that generates an interrupt signal at predetermined time intervals, and the payload data creation section creates payload data including the shaking information when the initial microtremor detection section detects the initial microtremor; The present invention is characterized in that when the interrupt signal generating section generates an interrupt signal, the alive information is created as alive payload data.

In the shaking performance relative evaluation system of the present invention, the network sensor installed in each building creates payload data containing shaking information based on the vibration waveform output by the acceleration sensor, and transmits the payload data. The shaking performance relative evaluation device receives payload data sent from each network sensor installed in each building, analyzes the shaking information included in the received payload data, and performs a relative evaluation of the shaking performance of each building. I try to do this. Thereby, according to the shaking performance relative evaluation system of the present invention, it is possible to evaluate the shaking performance of a large number of buildings at once, and relatively evaluate the shaking performance of a large number of buildings.

Furthermore, in the network sensor of the present invention (the network sensor according to any one of [23] to [31] above), the acceleration sensor can be Payload data containing shaking information based on the vibration waveform output by the robot is created and the payload data is transmitted. As a result, the network sensor of the present invention can transmit information necessary for shaking performance evaluation on the shaking performance relative evaluation device side, and can be suitably used as a network sensor of the shaking performance relative evaluation system of the present invention. becomes.

Furthermore, according to the network sensor of the present invention (the network sensor described in [32] above), when the initial tremor detection unit detects an initial tremor, payload data including shaking information is created, so that it is possible to detect an earthquake. In some cases, it is possible to create and transmit vibration information reliably and with low power consumption, and when the interrupt signal generator generates an interrupt signal at predetermined intervals, it creates alive information as alive payload data, making it possible to use network sensors. It becomes possible to improve the stability and reliability of the system used (for example, the shaking performance relative evaluation system of the present invention).

That is, in the network sensor of the present invention (the network sensor described in [32] above), when an earthquake does not occur for a long period of time, initial tremors are not detected, so payload data is not transmitted from the network sensor for a long period of time. . On the other hand, for example, when a network sensor runs out of battery, payload data is not transmitted from the network sensor for a long period of time, resulting in a situation where it is impossible to distinguish between the two. However, according to the network sensor of the present invention (the network sensor described in [32] above), since active payload data is created and transmitted at predetermined intervals, it is possible to distinguish between the two, and the above situation can be avoided. Occurrence can be prevented. From this point of view, the network sensor of the present invention (the network sensor described in [32] above) is particularly suitable when the network sensor is equipped with a battery as a power source.

1 is a diagram schematically showing a shaking performance relative evaluation system 1 according to a first embodiment. 1 is a diagram showing a configuration of a network sensor 10 according to a first embodiment. FIG. 3 is a time chart for explaining the operation of each part of the network sensor 10. FIG. FIG. 3 is a diagram schematically showing an example of payload data PD1 created in the payload data creation unit 140 of the shaking performance relative evaluation system 1 according to the first embodiment. 3 is a flowchart showing an operation algorithm of the network sensor 10. FIG. FIG. 3 is a diagram schematically showing an example of alive payload data APD. It is a flowchart for explaining the relative evaluation of shaking performance performed by the server 210 as an analysis unit when an earthquake occurs. It is a diagram for explaining "comprehensive evaluation of land and buildings." It is a diagram for explaining "land evaluation." FIG. 2 is a diagram for explaining "building evaluation." FIG. 3 is a diagram shown to explain acquisition of a shaking index (for example, maximum speed) when performing "comprehensive evaluation of land + building," "evaluation of building," and "evaluation of land." FIG. 2 is a diagram schematically showing a relative shaking performance evaluation system 2 according to a second embodiment. 7 is a diagram showing an example of payload data PD2 created by the payload data creation unit 140 in the network sensor 10 of the shaking performance relative evaluation system 2 according to the second embodiment. FIG. 1 is a diagram shown to explain a building health evaluation system 900 described in Patent Document 1. FIG.

Embodiments of the present invention will be described below.
[Embodiment 1]
FIG. 1 is a diagram schematically showing a relative shaking performance evaluation system 1 according to the first embodiment. As shown in FIG. 1, the shaking performance relative evaluation system 1 according to the first embodiment includes network sensors NS1, NS2, . . . installed at predetermined positions of buildings BL1, BL2, . , NS2, . . . through the receiving unit 30, and analyzes the received tremor information to perform a relative evaluation of the sway performance of the buildings BL1, BL2, . and a shaking performance relative evaluation device 20 having an analysis unit (server) 110 for performing analysis. The details of the network sensors NS1, NS2, . . . and the relative shaking performance evaluation device 20 will be described later.

In addition, in FIG. 1, only two buildings BL1, BL2, ... are shown, but in the shaking performance relative evaluation system 1 according to the first embodiment, a large number of buildings, such as tens or hundreds, are shown. Assuming that it exists. Furthermore, in the shaking performance relative evaluation system 1 according to the first embodiment, "shake information" refers to a "shake index" that represents the characteristics of the vibration waveform caused by an earthquake, and the "shake index" is described in detail. will be described later.

In the shaking performance relative evaluation system 1 according to the first embodiment, the network sensors NS1, NS2, . . . are located at the top of the buildings BL1, BL2, . ,..., and the land (ground surface) around the buildings BL1, BL2,.... Here, the network sensors installed at the top of buildings BL1, BL2, ... are referred to as top network sensors NS1a, NS2a, ..., and the network sensors installed at the base of buildings BL1, BL2, ... will be described as base network sensors NS1b, NS2b, . . . , and network sensors installed on the land (ground surface) around the building will be described as ground surface network sensors NS1c, NS2c, . Note that the "land around the building" is included in the predetermined location of each building.

Note that the network sensors NS1a, NS2a, ..., NS1b, NS2b, ..., NS1c, NS2c, ..., installed in three locations each in buildings BL1, BL2, ..., have basically the same configuration. It becomes. Therefore, in the following explanation, when referring to the entire network sensor without specifying the buildings BL1, BL2, ... or the installation locations in the buildings BL1, BL2, ..., this specification will refer to the entire network sensor. For convenience, this will be described as a "network sensor 10." Furthermore, the buildings BL1, BL2, . . . may be abbreviated as "each building" for explanation.

FIG. 2 is a diagram showing the configuration of the network sensor 10 used in the shaking performance relative evaluation system 1 according to the first embodiment. The network sensor 10 includes an acceleration sensor 110 made of a MEMS (Micro Electro Mechanical Systems) semiconductor, a GNSS receiver 120 that receives radio waves from a GNSS (Global Navigation Satellite System) satellite 40 shown in FIG. The initial microtremor detection unit 130 detects initial microtremors when an earthquake occurs from the vibration waveform output by a payload data creation section 140 that creates payload data including time information, a transmission section 150 that transmits the payload data created by the payload data creation section 140, an acceleration sensor 110, a GNSS receiver 120, and an initial microtremor detection section. 130, and a battery 160 as a power source that supplies power to the payload data creation section 140 and the transmission section 150.

Here, GNSS is a technology often used, for example, in car navigation systems, and is a technology that obtains positional information of a reception point by receiving radio waves from a plurality of artificial satellites flying around the earth. Note that the word "GPS" is often used in general, and in the present invention, GNSS is used in the same meaning as GPS.

As described above, the acceleration sensor 110 uses an acceleration sensor made of a MEMS semiconductor, and detects slight changes in acceleration in three axes (Ax, Ay, Az) at the location where the network sensor 10 is installed. It can be detected as a vibration waveform with high sensitivity and low noise. Note that the acceleration due to an earthquake is detected on three axes (Ax, Ay, Az), but in order to avoid cluttering the diagram, the three axes (Ax, Ay, Az) are shown as one line in Figure 2. It is shown in

The GNSS receiver 120 receives radio waves from a plurality of GNSS satellites 40 (see FIG. 1) orbiting the earth, calculates latitude and longitude information of the location where the network sensor 10 is installed, and transmits payload data. It is sent to the CPU 145 of the creation section 140. Further, the GNSS receiver 120 supplies pulses per second (1 PPS) and Coordinated Universal Time (UTC) to the CPU 145. The time information supplied from the GNSS receiver 120 has an accuracy of 1 microsecond or less.

The initial tremor detection unit 130 includes a low-pass filter (LPF) 131, an envelope detection circuit (ENV) 132, a comparator 133, and a wake-up circuit (WakeUp) 134, and when an initial tremor is detected when an earthquake occurs, the battery 160 is supplied to the payload data creation section 140 to start the payload data creation section 140. Here, the low-pass filter 131 has a function of further reducing noise by passing the acceleration signal of the initial microtremor captured by the acceleration sensor 110 and removing noise. Further, the envelope detection circuit (ENV) 132, comparator 133, wakeup circuit (WakeUp) 134, etc. will be described later.

The payload data creation section 140 includes an A/D converter 141, a crystal oscillator 142, a frequency divider 143, a counter 144, a CPU 145, and a nonvolatile memory 146. The operation of this payload data creation section 140 will be described later.

As described above, the battery 160 serves as a power supply source for the acceleration sensor 110, the GNSS receiver 120, the initial microtremor detection section 130, the payload data creation section 140, and the transmission section 150. Note that power is always supplied to the acceleration sensor 110 and the initial microtremor detection section 130. Therefore, the initial microtremor detection unit 130 is always in a state where it can acquire the output from the acceleration sensor 110. As described above, power is constantly supplied to the acceleration sensor 110 and the initial microtremor detection unit 130, and the acceleration sensor 110 made of a MEMS semiconductor is inexpensive, small, lightweight, and has low power consumption. The initial tremor detection unit 130 detects the initial tremor due to an earthquake with low power consumption and high sensitivity, and when the initial tremor is not detected, the low power consumption state is maintained. Therefore, even if power is constantly supplied to the acceleration sensor 110 and the initial microtremor detection unit 130, a state of low power consumption is maintained.

Further, the network sensor 10 further includes an interrupt signal generation section 170 that generates an interrupt signal for creating alive information (information indicating the current state of the network sensor 10) of the network sensor 10. The interrupt signal generation unit 170 has an extremely low power consumption timer 171 and a battery (for example, a coin battery) 172 that drives the timer 171, and is capable of generating a signal regardless of whether or not an earthquake occurs. , an interrupt signal is given to the payload data creation unit 140 at predetermined time intervals over a long period of time, such as several years, and the CPU 145 is activated by the interrupt signal. As a result, the CPU 145 creates alive information at predetermined time intervals (for example, every 6 hours) over a long period of time. This alive information will be described later.

FIG. 3 is a time chart for explaining the operation of each part of the network sensor 10. The envelope detection circuit 132 of the initial microtremor detection unit 130 adds the three-axis output (vibration waveform) output from the acceleration sensor 110 to form one vibration waveform (see FIG. 3(A)), and calculates the following equation (1). detects the envelope and outputs the envelope waveform (see FIG. 3(B)). Note that FIGS. 3(A) and 3(B) schematically show respective waveforms.

Env(n)=Sqrt{Ax(n)・Ax(n)+Ay(n)・Ay(n)+Az(n)・Az(n)} ...(1)
Note that in equation (1), n represents a sample number and Sqrt{} represents a square root.

When the comparator 133 of the initial microtremor detection unit 130 detects that the envelope waveform output from the envelope detection circuit 132 exceeds the predetermined level TH, it outputs logic '1' (see FIG. 3(C)). .

If the comparator 133 outputs logic '1', the wake-up circuit 134 of the initial microtremor detection unit 130 may detect an initial microtremor (P wave), so the wake-up circuit 134 uses the power from the battery 160 as the payload data. The data is supplied to the creation unit 140 (Power ON) (see FIG. 3(D)), and the payload data creation unit 140 is activated.

Specifically, the initial microtremor detection unit 130 supplies power from the battery 160 to the CPU 145 of the payload data creation unit 140, and activates the CPU 145 which has been in a low power consumption sleep state. When the CPU 145 starts up, each component other than the CPU 145 of the payload data creation section 140 starts up, and the GNSS receiver 120 and the transmission section 150 also start up. As a result, the GNSS receiver 120, payload data creation section 140, and transmission section 150 become operational. The wake-up circuit 134 is held in the "Power ON" state until a reset pulse (see FIG. 3(I)) is issued from the CPU 145.

Note that the GNSS receiver 120 and the transmitter 150 may always receive power from the battery 160, and the GNSS receiver 120 and the transmitter 150 may always be in an operable state. .

Next, the operation of the payload data creation section 140 will be explained. The crystal oscillator (XO) 142 is an oscillator using a crystal resonator, and in the vibration performance relative evaluation system 1 according to the first embodiment, oscillates at 10 MHz. The frequency divider 143 divides the frequency of the crystal oscillator 142 to 1/10,000 and supplies the resultant signal to the A/D converter 141 and the counter (Count) 144 as a 1 KHz clock signal.

The counter 144 is in the "Power ON" state (see FIG. 3(D)) by the wake-up circuit 134, that is, after the initial microtremor (P wave) is detected (the output of the comparator 133 becomes '1'). (after), the 1 KHz clock signal obtained by the frequency divider 143 is sequentially counted (see FIG. 3(F)), and the count value CNT is provided to the CPU 145. That is, the initial microtremor (P wave) is detected at timing T1 when the output of the comparator 133 becomes '1', and the moment the payload data creation unit 140 starts operating, the counter 144 sets the count value CNT=0. (See FIG. 3(F).) From this timing T1, the 1 KHz clock signal obtained by the frequency divider 143 is sequentially counted.

The A/D converter 141 uses the 1 KHz clock signal from the frequency divider 143 as a sampling period, and in synchronization with the 1 KHz clock signal, generates vibration waveforms of three axes (Ax, Ay, Az) from the acceleration sensor 110. Convert to digital signal. As a result, the vibration waveforms of the three axes (Ax, Ay, Az) from the acceleration sensor 110 are created as vibration waveform component information expressed by a predetermined number of bits (16 bits) for each clock signal.

Then, when the vibrations due to the earthquake converge, the count value CNT by the counter 144 becomes N1 (see FIG. 3(F)). Here, whether or not the earthquake has converged can be determined when the output of the envelope detection circuit 132 falls below a predetermined level TH (see FIG. 3(C)). Furthermore, whether the earthquake has subsided can also be determined by the CPU 145 monitoring whether the absolute level of the acceleration signal obtained from the acceleration sensor 110 remains at a low level for a predetermined period of time. .

In this way, it is assumed that the count value CNT of the clock signal after the initial tremor (P wave) is detected until the earthquake converges is N1, and the vibration waveform component information corresponding to each clock signal is , are each represented by 16 bits, so the A/D converter 141 creates vibration waveform component information consisting of (16×3×N1) bits.

Then, after the counter 144 counts the count value N1, the GNSS receiver 120 receives a GNSS signal from the GNSS satellite 40, and the GNSS receiver 120 outputs the correct time t1 based on the GNSS signal. The count value CNT at timing T3 (see FIG. 3(E)) is set to N2 (see FIG. 3(F)). In the CPU 145, from the correct time t1 obtained from the GNSS receiver 120 and the count value N2 at that time, the time T1 at which the initial tremor (P wave) was detected is determined with high precision as the earthquake occurrence time t0. I can do it. That is, the earthquake occurrence time t0 can be determined by the following equation (2).

t0=t1-N2×Δ...(2)
Note that in equation (2), Δ (delta) is the sampling period, which is 1/1000 second (1 millisecond) here. In this way, the CPU 145 can determine the earthquake occurrence time t0 based on the time t1 supplied from the GNSS receiver 120.

On the other hand, after the output of the comparator 133 becomes '1' and an initial microtremor (P wave) is detected (after timing T1), the CPU 145 controls the vibration waveform component information (clock A vibration index (described later) is obtained from the vibration waveform component information (vibration waveform component information expressed in 16 bits for each signal), and identification information (ID) of the network sensor 10, time information, etc. are added to the determined vibration index, and these are Collectively, payload data PD1 is created (see FIG. 3(G)). Thereafter, payload data PD1 is transmitted from the transmitter 150 (see FIG. 3(H)). Then, when all the processing is completed, the CPU 145 outputs a Reset pulse at timing T5 (see FIG. 3(I)). As a result, the wake-up circuit 134 of the initial microtremor detection section 130 turns off the power supply (see FIG. 3(D)).

By the way, as the "tremor index" that the CPU 145 obtains, for example, information on seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and duration of shaking can be exemplified. However, it may not be necessary to use all of these as shaking indicators, and they can be selected as appropriate; however, here, information on seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and duration of shaking will be used as shaking indicators. shall be adopted. Then, payload data PD1 (see Fig. 4) is created by adding the identification code (ID) of the network sensor 10, earthquake occurrence time information (Hour, Min, Sec), and expansion options to these shaking indicators. , and the payload data PD1 are transmitted from the transmitter 150.

FIG. 4 is a diagram schematically showing an example of payload data PD1 created by the payload data creation unit 140 of the shaking performance relative evaluation system 1 according to the first embodiment. As shown in FIG. 4, the payload data PD1 includes a 16-bit identification code (ID), 6 bits each for earthquake occurrence time information (Hour, Min, Sec), 72 bits for a shaking index as shaking information, The expansion option consists of 22 bits, a total of 128 bits. The shaking index is composed of 8-bit seismic intensity, 16-bit maximum acceleration, 16-bit maximum velocity, 16-bit maximum displacement, and 16-bit shaking duration.

Here, if the amount of data transmitted at one time is 128 bits or less, communication using LPWA (Low Power Wide Area-network) is possible. Therefore, in the shaking performance relative evaluation system 1 according to the first embodiment, LPWA can be used as the communication means between the transmitter 150 and the receiver (communication base station) 30.

As explained above, the payload data creation unit 140 A/D converts the vibration waveform from the acceleration sensor 110 in synchronization with a clock signal with a sampling period of 1 KHz, and converts the vibration waveform from the acceleration sensor 110 into a vibration signal represented by 16 bits for each clock signal. Waveform component information is obtained, and features of the vibration waveform are extracted from the obtained vibration waveform component information to obtain a shaking index representing the characteristics of the vibration waveform. Then, payload data (payload data with a data amount of 128 bits or less) including the vibration index is created. The transmitter 150 of the network sensor 10 transmits payload data PD1 (payload data with a data amount of 128 bits or less) including a vibration index representing the characteristics of the vibration waveform.

FIG. 5 is a flowchart showing the operation algorithm of the network sensor 10. Since the operation of the network sensor 10 has already been explained mainly with reference to FIG. 3, the explanation will be simplified here along with each step.

First, in step SP1, the initial microtremor detection unit 130 repeatedly detects initial microtremors (P waves) with low power consumption and high sensitivity. When no P wave is detected (when the P wave level is less than TH), the low power consumption state is maintained as it is. On the other hand, when a P wave is detected (when the P wave level is higher than TH), the payload data creation unit 140 that has been in a sleep state is activated (power is turned on) (step SP2), and the payload data creation unit 140 The seismic acceleration (vibration waveform) is obtained (step SP3). Then, A/D conversion is started and the clock signal is counted up (step SP4). Specifically, the process of step SP4 involves A/D converting the vibration waveform acquired in step SP3 in synchronization with a clock signal of a predetermined sampling period (here, 1 KHz), and converting the vibration waveform obtained in step SP3 to a predetermined number of bits for each clock signal. This is a process in which the vibration waveform component information expressed by is obtained, and the clock signal is counted up.

Thereafter, it is determined whether the earthquake has subsided (step SP5). If it is determined in step SP5 that the earthquake has not converged (in the case of "NO"), the process of acquiring the earthquake acceleration (vibration waveform) (step SP3) and the process of counting up the clock signal (step SP4) If it is determined that the earthquake has converged (in the case of "YES"), the count value CNT during that time is set to N1 (CNT=N1) and the A/D conversion is terminated (step SP6). ).

Then, the clock signal is further counted up (step SP7). After that, it is determined whether the GNSS receiver 120 has acquired the GNSS time (correct time t1) (step SP8), and if the GNSS receiver 120 has not acquired the GNSS time (correct time t1), the count is further increased. Continue processing. After that, when the GNSS receiver 120 acquires the GNSS time (correct time t1), the count value CNT during that time is set to N2 (CNT=N2) (step SP9).

In this way, when the count value CNT (CNT=N2) until the correct time t1 is obtained, from the count value CNT (CNT=N2) and the correct time t1, according to the above equation (2), The earthquake occurrence time t0 is calculated (step SP10).Then, the CPU 145 calculates (also referred to as creation) a shaking index as shaking information, and creates payload data PD1 including the calculated shaking index (step SP11). ).In the shaking performance evaluation system 1 according to the first embodiment, the process of calculating the shaking index is to calculate the shaking index (seismic intensity, maximum acceleration, maximum velocity, maximum displacement, shaking duration, etc.) from the vibration waveform component information. Then, the payload data PD1 including the shaking index is transmitted from the transmitter 150 (step SP12), and the power of the payload data generator 140 is turned off (sleep state) (step SP13). ).

In addition, the network sensor 10 in the shaking performance relative evaluation system 1 according to the first embodiment not only creates payload data PD1 including the shaking index described above and transmits the created payload data PD1, but also performs processing for each network. It has a function of creating alive information indicating the current state of the sensor 10 as payload data and transmitting the created payload data (referred to as alive payload data APD).

Creation of the alive payload data APD is performed by an interrupt signal issued from the interrupt signal generating section 170 (see FIG. 2). That is, when the interrupt signal generating section 170 is given to the CPU 145 of the payload data creating section 140 at predetermined intervals (for example, every 6 hours), the CPU 145 of the payload data creating section 140 is in the sleep state every time the interrupt signal generating section 170 is given the interrupt signal. When the CPU 145 is activated, each section necessary for creating and transmitting alive information is activated to create alive information and transmit the created alive information.

Here, the alive information includes identification information (ID) of the network sensor 10 and information representing the state of the network sensor 10. This alive information is configured as payload data (alive payload data APD) within 128 bits. Here, as the information representing the state of the network sensor 10, battery remaining amount information representing the remaining amount of the battery 160, posture information representing the posture of the network sensor 10, etc. can be exemplified. Note that the identification information (ID) of the network sensor 10 can be transmitted not as payload data but also in other data formats, so it is not possible to include the identification information (ID) of the network sensor 10 in the alive payload data APD. Not required.

By the way, the attitude of the network sensor 10 is determined by the average acceleration of each 12 bits (Bx, By ,Bz). From this average acceleration (Bx, By, Bz), it can be detected that the attitude of the acceleration sensor 110 has changed due to some external factor, for example, when the acceleration sensor 110 is tilted sideways or diagonally. Note that the alive information may include latitude information and longitude information acquired from the GNSS receiver 120 in addition to the above information.

FIG. 6 is a diagram schematically showing an example of alive payload data APD. In the alive payload data APD shown in FIG. 6, the identification code (ID) is an individual identification number of the network sensor 10, and is composed of 16 bits. The alive payload data APD includes, in addition to the identification code (ID), 5-bit status information (Status), 24-bit latitude information (GNSS), 24-bit longitude information (GNSS), and 6-bit alive information. creation time (for example, time when the acceleration signal was acquired from the acceleration sensor 110 to find the average acceleration (Hour, Min, Sec)), 36-bit average acceleration (Bx, By, Bz), 5-bit expansion option are arranged in the order shown in FIG. 6, and are composed of 128 bits in total.

In the alive payload data APD shown in FIG. 6, the status information includes 1-bit event information (Event) and 4-bit battery remaining amount information (BAT) that represents the digitalized battery remaining amount in 16 steps, for example. have.

The event information (Event) is set to "0" in a steady state, and is set to "1" in an unsteady state such as when some abnormal situation is detected. Further, the latitude information (GNSS) and longitude information (GNSS) obtained from the GNSS receiver 120 are, for example, information such as 36.030160 degrees north latitude and 138.155298 degrees east longitude. By representing the 6 digits of latitude information (GNSS) and longitude information (GNSS) after the decimal point (in the example above, "030160" and "155298") in BCD (Binary Coded Decimal), 24-bit latitude information and 24-bit latitude information can be obtained. It is compressed into longitude information and set in the alive payload data APD. The installation position of the network sensor 10 can be known from the latitude information and longitude information supplied from the GNSS receiver 120.

By the way, the processing for creating the payload data PD1 shown in FIG. 4 and the alive payload data APD shown in FIG. Although the explanation has been given as processing of the entire network sensor 10 without specifying the building base, ground surface), in reality, the processing is performed by the top network sensors NS1a, NS2a, . . . , the base network installed at the top of each building. Processing for creating payload data PD1 shown in FIG. 4 and alive payload data APD shown in FIG. 6 is performed for each sensor NS1b, NS2b, . . . and ground surface network sensor NS1c, NS2c, . .

Therefore, the payload data PD1 and the alive payload data APD are stored for each network sensor 10, that is, the top network sensor NS1a, NS2a, ..., the base network sensor NS1b, NS2b, ..., the ground surface network sensor NS1c, NS2c, The payload data PD1 and alive payload data APD are created for each of the top network sensors NS1a, NS2a,..., base network sensors NS1b, NS2b,..., ground network sensors NS1c, NS2c. , . . .

Next, the shaking performance relative evaluation device 20 (see FIG. 1) will be explained. The shaking performance relative evaluation device 20 includes a server 210 as an analysis unit, a display terminal 220 that displays various information (sway performance relative evaluation results, etc.) obtained by the analysis by the server 210, and information obtained by the analysis by the server 210. It has a database 230 that accumulates various information (such as relative evaluation results of shaking performance), and an earthquake information acquisition unit (not shown) that acquires information on earthquakes (earthquake information such as epicenter, etc.) from the Japan Meteorological Agency. . Note that the earthquake information acquisition unit (not shown) may be configured so that the server 210 has a function as an earthquake information acquisition unit.

The shaking performance relative evaluation device 20 configured in this way uses shaking indicators (here, seismic intensity, maximum acceleration, maximum velocity, maximum displacement) included in the payload data PD1 (see FIG. 4) transmitted from the network sensor 10. , shaking duration) and time information are analyzed by the server 210 serving as an analysis unit to perform a relative evaluation of the shaking performance of each building, and display the results of the relative shaking performance evaluation on terminals (including personal computers, smartphones, etc.). 120 or written into the database 230. Note that the relative evaluation of sway performance will be described later.

Furthermore, the shaking performance relative evaluation device 20 acquires information (alive information) indicating the current state of the network sensor 10 based on the alive payload data APD (see FIG. 6) transmitted from the network sensor 10. Here, the acquired alive information includes the identification code (ID), the remaining amount of the battery 160, the average acceleration (Bx, By, Bz) as information regarding the attitude of the acceleration sensor 110, and the latitude information (GNSS) of the network sensor 10. and longitude information (GNSS). Note that the acquired alive information can be displayed on the display terminal 220.

FIG. 7 is a flowchart for explaining relative evaluation of shaking performance performed by the analysis unit (server 210) when an earthquake occurs. Note that the right side of the flowchart shown in FIG. 7 shows the passage of time corresponding to the overall process flow. Further, in FIG. 7, the flow of processing performed by the server 210 in response to the overall processing flow will be explained, and the method of relative evaluation of sway performance based on the sway index will be described later.

Top network sensor NS1a, base network sensor NS1b, ground surface network sensor NS1c installed in building BL1, top network sensor NS2a, base network sensor NS2b, ground surface network sensor NS2c installed in building BL2, and further in FIG. receives each payload data PD1 transmitted from the top network sensor, base network sensor, and ground surface network sensor installed in a number of other buildings (not shown) through the receiving unit 30 (see FIG. 1). The server 210 obtains the information.

The server 210 performs a relative evaluation of the sway performance based on the sway index included in each acquired payload data PD1 (see FIG. 4). Note that, as described above, the shaking index can be exemplified by seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and duration of shaking, but here, maximum velocity is used as the shaking index.

Here, processing steps for the relative evaluation of shaking performance performed by the server 210 will be described with reference to FIG. 7. The server 210 acquires the maximum speed from the shaking index included in each acquired payload data PD1 (see FIG. 4) (step SP21), and performs a relative evaluation of shaking performance based on the acquired shaking index (maximum speed). (including ranking) (step SP22). In addition, when conducting a relative evaluation of shaking performance, earthquake information such as the epicenter is obtained from the Japan Meteorological Agency.

Here, as a relative evaluation of the shaking performance, (a) a comprehensive relative evaluation of the shaking performance of the land and building surrounding the building (sometimes referred to as "comprehensive evaluation of land + building"), (b) of the building. Relative evaluation of the shaking performance of surrounding land (sometimes referred to as "land evaluation"); (c) Relative evaluation of the shaking performance of buildings (sometimes referred to as "building evaluation"). do. In addition, in this specification, when these (a), (b), and (c) are collectively explained, they will be referred to as "relative evaluation of sway performance."

After performing the "comprehensive evaluation of land + building," "evaluation of land," and "evaluation of building," the relative evaluation results (including ranking) of each shaking performance are displayed on the display terminal 220 (step SP23 ) and are stored in the database 230 (step SP24). Thereafter, an annual comprehensive evaluation and a secular change evaluation are performed based on the relative evaluation results of shaking performance (including ranking) (step SP25), and these evaluation results (annual comprehensive evaluation result and secular change evaluation result) are displayed on the display terminal 220. It is displayed (step SP26) and stored in the database 230 (step SP27).

Next, a specific example of relative evaluation of shaking performance will be explained. Here, a case will be described in which the maximum speed is used as the shaking index. The server 210 uses the shaking index (maximum velocity) included in the payload data PD1 transmitted from each network sensor 10 installed in each building and the information regarding the earthquake (earthquake information such as epicenter) obtained from the Japan Meteorological Agency. Then, the average shaking trend line for each building is determined, and the shaking of each building is determined from the average shaking trend line for each building and the shaking index (maximum velocity) obtained for each building. Perform relative performance evaluation.

Here, the shaking index (maximum speed) included in the payload data PD1 transmitted from each network sensor 10 installed in each building differs depending on the location of each building. It is generally known that the magnitude of shaking caused by an earthquake is attenuated and becomes smaller as the distance from the epicenter increases. The phenomenon in which shaking decreases with distance from the epicenter is called ``distance attenuation.''

Therefore, by normalizing the shaking index (maximum velocity) by the distance from the epicenter, it is possible to relatively compare the shaking index (maximum velocity) of the building in question with the shaking index (maximum velocity) of other buildings. . Specifically, the average of the relationship between the shaking index (maximum velocity) determined for each building and the distance from the epicenter of each building for each building in the multiple buildings subject to relative shaking performance evaluation, In other words, a predetermined distance attenuation formula that gradually attenuates depending on the distance from the epicenter is determined, and a trend line for the average shaking of all buildings is determined. Note that "all buildings" refers to each building (buildings BL1, BL2, . . . ) among a plurality of buildings that are subject to relative shaking performance evaluation. Hereinafter, the average shaking trend line for all buildings may be abbreviated as "average shaking trend line" by omitting "all buildings". Here, the "average shaking trend line" is represented by straight lines L1, L2, and L3 in FIGS. 8(a), 9(a), and 10(a), which will be described later.

In addition, the ``average shaking trend line'' indicates that as the distance from the epicenter increases, the shaking index (maximum velocity) tends to be about this size on average. It is something. Therefore, if the shaking index (maximum velocity) obtained for each building is higher than the value that exists on the "average shaking trend line," the building in question has relatively strong shaking (easily shaken). ), and if the shaking index (maximum velocity) is lower than the value on the "average shaking trend line", the building in question is said to have relatively little shaking (hard to shake). I understand that.

However, "building evaluation" is an evaluation based on the multiplier (sway index ratio) of the sway index at the top of a building relative to the sway index at the base of the building, and is used to evaluate the performance of the building itself. Therefore, since the "average shaking trend line" does not depend on the distance from the epicenter, it remains constant regardless of the distance from the epicenter, as shown by the straight line L3 in FIG. 10(a). Here, the above-mentioned "sway index ratio" is the maximum speed ratio when the swing index obtained from the payload data is the maximum speed. That is, it is the ratio (Vtop/Vbottom) of the sway index at the top of the building (maximum speed Vtop) and the sway index at the base of the building (maximum speed Vbottom).

FIGS. 8, 9, and 10 are diagrams illustrating an example of relative evaluation of shaking performance. Figure 8 is a diagram for explaining "comprehensive evaluation of land + building", Figure 9 is a diagram for explaining "evaluation of land", and Figure 10 is a diagram for explaining "evaluation of building". It is a diagram. In addition, in the "Comprehensive evaluation of land + building" in Figure 8, the "average shaking trend line" is represented by the straight line L1, so it is referred to as the "average shaking trend line L1", and the "land + building trend line" in Figure 9 is In the "evaluation of average shaking", the "trend line of average shaking" is represented by straight line L2, so it is referred to as "trend line of average shaking L2", and in the "comprehensive evaluation of building" in Figure 10, the "trend line of average shaking" is expressed as straight line L2. Since the "trend line of average shaking" is represented by the straight line L3, it will be described as the "trend line of average shaking L3."

In addition, Figures 8(a) and 9(a) of Figures 8(a), 9(a), and 10(a) show the shaking index (maximum velocity) obtained for each building and the "average Fig. 10(a) is a diagram for explaining the relationship between the tremor index ratio (maximum speed ratio) obtained for each building and the ``average tremor trend line L1, L2''. FIG. Note that in FIGS. 8(a), 9(a), and 10(a), the white circles represent data corresponding to each building. On the other hand, Figures 8(b), 9(b), and 10(b) are obtained by performing relative shaking performance evaluation based on Figures 8(a), 9(a), and 10(a). It is a figure which shows an example of the shake performance relative evaluation result (ranking) obtained.

FIG. 11 is a diagram shown to explain the acquisition of a shaking index (for example, maximum speed) when performing "comprehensive evaluation of land + building," "evaluation of land," and "evaluation of building." Note that although the building BL1 is illustrated in FIG. 11, the same applies to the other buildings BL2, . . . .

When performing a "comprehensive evaluation of land + building", each building included in each payload data sent from the top network sensors NS1a, NS2a, etc. installed at the top of each building. When the corresponding shaking index is the "top shaking index" corresponding to each building, the maximum velocity Vtop of each building is obtained as the "top shaking index", and the obtained maximum velocity Vtop of each building is calculated as "land + It is used as a shaking index when conducting a comprehensive evaluation of a building.

In addition, when performing "land evaluation," the data included in each payload data sent from ground surface network sensors NS1c, NS2c, etc. installed on the land (ground surface) around each building. When the shaking index corresponding to the land surrounding each building is taken as the "land shaking index" corresponding to the land surrounding each building, the maximum The velocity Vsoil is obtained, and the obtained maximum velocity Vsoil in the land surrounding each building is used as a sway index when performing "land evaluation."

In addition, when performing "building evaluation," that is, evaluating the building itself, it is necessary to evaluate the information contained in each payload data transmitted from the top network sensors NS1a, NS2a, etc. The shaking index corresponding to each building in the building is set as the "top shaking index" corresponding to each building. When the shaking index corresponding to each building included in the payload data is taken as the base shaking index corresponding to each building, the maximum speed Vtop is acquired as the top shaking index, and the maximum speed Vbottom is acquired as the base shaking index. .

Then, the ratio (sway index ratio) between the acquired top sway index (maximum speed Vtop) and base sway index (maximum speed Vbottom) is determined for each building, and the obtained sway index ratio corresponding to each building is determined. This will be used to conduct a ``relative evaluation of the shaking performance of buildings.'' Note that the "sway index ratio" is the maximum speed ratio (Vtop/Vbottom), as described above.

Here, the shaking index (maximum velocity) used for the "comprehensive evaluation of land + building" depends on the distance from the epicenter, as described above. Therefore, as shown in FIG. 8(a), the maximum velocity of the "average shaking trend line L1" decreases as the distance from the epicenter increases. The same can be said for "land evaluation" (see Figure 9(a)).

On the other hand, as mentioned above, "building evaluation" is evaluated based on the magnification of the shaking index at the top of the building relative to the shaking index at the base of the building, and is used to evaluate the performance of the building itself. It does not depend on the distance from the epicenter. Therefore, as shown in FIG. 10(a), the "average shaking trend line L3" remains constant regardless of the distance from the epicenter.

Returning to Figures 8, 9, and 10, "Comprehensive evaluation of land and buildings (comparative relative evaluation of the shaking performance of the land and buildings surrounding the building)" and "Evaluation of land (swaying performance of the land surrounding the building)" An example of "relative evaluation)" and "building evaluation (relative evaluation of building shaking performance)" will be explained.

[Comprehensive evaluation of land + building (comprehensive relative evaluation of the shaking performance of the land and building surrounding the building)]
The "comprehensive evaluation of land + building" will be explained with reference to FIGS. 8(a) and 8(b). In addition, in Figure 8, the number of white circles (the number of buildings) is only 9, but the total number of buildings that are subject to the relative evaluation of shaking performance ratio is actually several. It is assumed that there are ten or several hundred buildings. Note that this also applies to FIG. 9 for explaining "land evaluation" and FIG. 10 for explaining "building evaluation", which will be described later.

In FIG. 8(a), paying attention to the building BL1, in the building BL1, the shaking index (maximum velocity) in the building BL1 is lower than the "average shaking trend line L1", but the "average The degree of deviation from the ``shaking trend line L1'' (the degree of deviation on the side where shaking is less likely to occur) is very small. From this, it can be said that the shaking performance of the building BL1 (land + building BL1) is close to the average shaking performance.

Furthermore, if we pay attention to the building BL2, the shaking index (maximum velocity) in the building BL2 is considerably higher than the "average shaking trend line L1", and the "average shaking trend line L1" is considerably higher than the "average shaking trend line L1". The degree of deviation from the line L1 (the degree of deviation on the sway-prone side) is large. From this, it can be said that the shaking performance of the building BL2 (land + building BL2) is easier to shake than the average shaking performance.

In this way, the extent to which the shaking index (maximum speed) obtained for each building deviates from the "average shaking trend line L1" toward the easier shaking side or the less shaking side (the deviation The degree of deviation) can be determined, and the susceptibility of the building to shaking can be determined from the determined degree of deviation. Then, the obtained degree of deviation can be expressed as a deviation value with respect to the "average shaking trend line L1". For example, if the "average shaking trend line L1" has a "deviation value of 50", and the degree of deviation is large on the side of easy shaking, it is easy to shake, so "for example, the deviation value is 30", and the degree of deviation is on the side of less shaking. If the value is larger than , it is difficult to shake, so it can be expressed as ``for example, a deviation value of 70''.

By determining the deviation value of the maximum speed for each building, it is possible to perform a comprehensive evaluation (ranking) of the land + building, as shown in FIG. 8(b). For example, it can be seen that the comprehensive evaluation result of land + building for building BL1 belongs to approximately the middle group among all buildings in terms of the ranking of resistance to shaking. In addition, the horizontal axis in FIG. 8(b) represents the difficulty of shaking (easiness of shaking), and the vertical axis represents the frequency (the number of all buildings).

[Land evaluation (relative evaluation of the shaking performance of the land around the building)]
“Land evaluation” will be explained with reference to FIGS. 9(a) and 9(b). Again, if we pay attention to the land around the building BL1, the maximum velocity on the land around the building BL1 (the land where the network sensor NS1b is installed) is ``average shaking''. Although the value is lower than the "trend line L2 of average shaking", the degree of deviation from the "trend line L2 of average shaking" (degree of deviation on the side of less shaking) is very small. From this, it can be said that the land around the building BL1 has close to average shaking performance.

Furthermore, if we pay attention to the land around the building BL2, the shaking index (maximum speed) in the land around the building BL2 is considerably higher than the "average shaking trend line L2". This is a high value, and the degree of deviation from the "average shaking tendency line L2" (the degree of deviation on the side of ease of shaking) is large. From this, it can be said that the land around the building BL2 is susceptible to shaking compared to the average shaking performance.

In this way, it is possible to find out how much the shaking index (maximum velocity) obtained from the land around each building deviates from the "average shaking trend line L2" (degree of deviation). The degree of deviation obtained can be used to determine how easily the land around the building is susceptible to shaking. Then, the obtained degree of deviation can be expressed as a deviation value with respect to the "average shaking trend line L2". For example, if the "average shaking trend line L2" has a "deviation value of 50", and the degree of deviation is large on the side of easy shaking, it is easy to shake, so "for example, the deviation value is 30", and the degree of deviation is on the side of difficult shaking. If the value is larger than , it is difficult to shake, so it can be expressed as ``for example, a deviation value of 70''.

By determining the deviation value of the maximum speed in the land surrounding each building, the land can be evaluated (ranked) as shown in FIG. 9(b). For example, it can be seen that the land evaluation result for building BL1 belongs to a group that is approximately in the middle among all buildings in terms of the degree of resistance to shaking. In addition, the horizontal axis in FIG. 9(b) represents the difficulty of shaking (ease of shaking), and the vertical axis represents the frequency (the number of all buildings).

[Building evaluation (relative evaluation of building shaking performance)]
"Building evaluation" will be explained with reference to FIGS. 10(a) and 10(b). Here again, if we pay attention to the building BL1, the maximum speed ratio (Vtop/Vbottom) in the building BL1 is lower than the "average shaking trend line L3"; The degree of deviation from the shaking trend line L3 (the degree of deviation on the side where shaking is less likely to occur) is very small. From this, it can be said that the shaking performance of the building BL1 is close to the average shaking performance.

Furthermore, if we pay attention to the building BL2, the maximum velocity ratio (Vtop/Vbottom) in the building BL2 is considerably higher than the "average shaking trend line L3", and the "average The degree of deviation from the trembling trend line L3 (the degree of deviation on the sway-easiness side) is large. From this, it can be said that the shaking performance of the building BL2 is easier to shake than the average shaking performance.

Then, the degree of deviation of the maximum velocity ratio (Vtop/Vbottom) in each building from the "average shaking trend line L3" (degree of deviation) is calculated using the "average shaking trend line L3". ” can be expressed as a deviation value based on the standard. For example, if the "average shaking trend line L3" is set to a "deviation value of 50", and the degree of deviation is large on the side of easy shaking, it is easy to shake, so "for example, the deviation value is 30", and the degree of deviation is on the side of difficult shaking. If the value is larger than , it is difficult to shake, so it can be expressed as ``for example, a deviation value of 70''.

By determining the deviation value of the maximum speed ratio (Vtop/Vbottom) for each building, the buildings can be evaluated (ranked) as shown in FIG. 10(b). For example, it can be seen that the building evaluation result for building BL1 belongs to approximately the middle group among all buildings in terms of the ranking of resistance to shaking. Note that the horizontal axis in FIG. 10(b) represents the difficulty of shaking (ease of shaking), and the vertical axis represents the frequency (number of all buildings).

As explained above, according to the shaking performance relative evaluation system 1 according to the first embodiment, the payload transmitted from each network sensor 10 installed at a predetermined position (top, base, and surrounding land) of each building It is possible to perform a sway performance evaluation based on the data, and to obtain relative sway performance evaluation results (for example, FIG. 8(b), FIG. 9(b), and FIG. 10(b)). Such relative vibration performance evaluation results can be displayed on the display terminal 220 and can be stored in the database 230.

Then, using the accumulated data (swaying performance relative evaluation results) stored in the database 230, an annual comprehensive evaluation and secular change evaluation are performed for each building based on the shaking performance relative evaluation results (ranking), and these evaluations are performed. The results (annual comprehensive evaluation results and secular change evaluation results) can be displayed on the display terminal 220 and also stored in the database 230. Note that the process of evaluating changes over time includes, for example, analyzing the accumulated data (swaying performance relative evaluation results) stored in the database 230 to obtain time-series changes in the relative shaking performance evaluation results of each building. is also included.

The contents stored in the database 230 can be displayed on the display terminal 220 as appropriate. As a result, the administrator who manages all the buildings that are subject to relative shaking performance evaluation can grasp the shaking performance of each building and the land surrounding each building based on the accumulated data stored in the database 230. At the same time, it is possible to rate the shaking performance of each building and the land around each building.

In addition, in the shaking performance evaluation system 1 according to the first embodiment, relative evaluation of shaking performance is not performed only when a large earthquake occurs, but it continues to detect vibration waveforms every day and detects vibration waveforms at a predetermined level or higher (for example, When a shaking with a seismic intensity of 2 or higher is detected, a relative evaluation of shaking performance is continuously performed based on the shaking index corresponding to the shaking, and the results of the relative evaluation of shaking performance are accumulated in the database 130 over a long period of time. It's something to go to. Therefore, the accumulated data stored in the database 230 is highly reliable when performing a relative evaluation of shaking performance. In addition, the results of the relative evaluation of shaking performance obtained in this way can be greatly utilized as basic information when evaluating the seismic resistance of buildings.

By the way, when performing the above-mentioned relative evaluation of shaking performance, the server 210 as an analysis unit receives shaking information from each network sensor 10 (in this case, shaking information) during a period when it is not receiving earthquake information from the Japan Meteorological Agency. It is preferable not to perform analysis regarding indicators). For example, when construction work that causes large vibrations is carried out near a certain building, a vibration waveform due to shaking different from an earthquake is acquired, and payload data PD1 as shown in FIG. 4 is created. PD1 may be transmitted. In such a case, during the period when information regarding the earthquake is not received from the Japan Meteorological Agency, the server 210 side of the shaking performance relative evaluation device 20 determines that the shaking index included in the payload data PD1 is not the shaking index due to the earthquake. It is possible to determine that the analysis process is not performed.

On the other hand, if the network sensor 10 side is configured to receive earthquake information from the Japan Meteorological Agency, even if initial tremors are detected, during the period when earthquake information is not received from the Japan Meteorological Agency, It is also possible not to create payload data PD1 as shown in FIG. Furthermore, even if payload data PD1 as shown in Figure 4 is created during a period when earthquake information is not being received from the Japan Meteorological Agency, it is also possible to prevent the payload data from being transmitted. It is. As a result, incorrect payload data may be created or incorrect payload data may be created even when shaking that is different from an earthquake occurs, such as when shaking due to construction that causes large vibrations occurs near a building. This can prevent data from being sent.

By the way, from the network sensor 10 installed at a predetermined position in each building, not only the payload data PD1 (for example, see FIG. 4) in the event of an earthquake, but also the alive payload at a predetermined time interval (for example, every 6 hours) are sent. Data APD (see FIG. 6, for example) is also transmitted. Even when the shaking performance relative evaluation device 20 receives the alive payload data APD, it can display the alive information (see FIG. 6) included in the alive payload data APD on the display terminal 220. As a result, the administrator who manages all the buildings can know the current status of each network sensor displayed on the display terminal (the current battery level of each network sensor 10, the posture of the network sensor 10, etc.). can.

Note that the alive payload data APD shown in FIG. 6 also includes latitude information and longitude information as alive information, but the latitude and longitude information will not change unless the installation position of each network sensor 10 is moved. , it is not necessary to transmit latitude information and longitude information each time.

[Embodiment 2]
In the shaking performance relative evaluation system 1 according to the first embodiment described above, the shaking information included in the payload data transmitted by the network sensor 10 includes shaking indicators (seismic intensity, maximum acceleration, maximum velocity) representing the characteristics of the vibration waveform caused by the earthquake. , maximum displacement, duration of shaking, etc.).

That is, the payload data creation unit 140 of the network sensor 10 synchronizes the vibration waveform with a clock signal of a predetermined sampling period, performs A/D conversion, and represents each clock signal with a predetermined number of bits (16 bits). Vibration waveform component information is created, and the characteristics of the vibration waveform are extracted from the vibration waveform component information to obtain a shaking index representing the characteristics of the vibration waveform. Then, payload data PD1 (payload data PD1 with a data amount of 128 bits or less) including shaking indicators (seismic intensity, maximum acceleration, maximum velocity, maximum displacement, shaking duration, etc.) representing the characteristics of the vibration waveform is created. , the payload data PD1 is transmitted from the transmitter 150.

On the other hand, in the vibration performance relative evaluation system 2 according to the second embodiment, the data at the stage before creating the vibration index representing the characteristics of the vibration waveform, that is, the predetermined number of bits (16 bits) for each clock signal. Payload data containing the displayed vibration waveform component information as vibration information is transmitted from the transmitter 150.

That is, in the shaking performance relative evaluation system 2 according to the second embodiment, the payload data creation unit 140 of the network sensor 10 performs A/D conversion of the seismic waveform in synchronization with a clock signal of a predetermined sampling period (1 KHz). , create vibration waveform component information represented by 16 bits for each clock signal, and create payload data (referred to as payload data PD2) including vibration waveform component information represented by 16 bits for each clock signal. . Then, the transmitter 150 of the network sensor 10 transmits payload data PD2 containing vibration waveform component information represented by a 16-bit number for each clock signal.

FIG. 12 is a diagram schematically showing a relative shaking performance evaluation system 2 according to the second embodiment.
FIG. 13 is a diagram showing an example of payload data PD2 created by the payload data creation unit 140 in the network sensor 10 of the shaking performance relative evaluation system 2 according to the second embodiment.

For the configuration of the network sensor 10 in the relative shaking performance evaluation system 2 according to the second embodiment, FIG. 2 used in the description of the relative shaking performance evaluation system 1 according to the first embodiment can be used. Further, for the operation of the network sensor 10, etc., FIGS. 3 and 5 can be used. Therefore, when explaining the configuration and operation of the network sensor 10 of the shaking performance relative evaluation system 2 according to the second embodiment, FIGS. 2, 3, and 5 will be used as necessary.

Note that the processing from steps SP1 to SP10 in the flowchart shown in FIG. 5 is basically the same as the processing explained in the shaking performance relative evaluation system 1 according to the first embodiment, but The evaluation system 2 differs from the shaking performance relative evaluation system 1 according to the first embodiment in payload data creation (step SP11).

That is, in the process of step SP11 in the shaking performance relative evaluation system 1 according to the first embodiment, "tremor index representing the characteristics of the vibration waveform (seismic intensity, maximum acceleration, maximum velocity, maximum displacement, duration of shaking, etc.)" is used as the shaking information. ", but in the shake performance relative evaluation system 2 according to the second embodiment, the shake information is "expressed in 16 bits for each clock signal. This is a process of creating payload data PD2 containing "vibration waveform component information".

Then, payload data PD2 including vibration waveform component information expressed in 16 bits for each clock signal is transmitted from the transmitter 150 (step SP12), and the power of the payload data generator 140 is turned off (sleep state). (Step SP13).

As shown in FIG. 13, the payload data PD2 created by the payload data creation unit 140 in the network sensor 10 (see FIG. 2) of the shaking performance relative evaluation system 2 according to the second embodiment has an identification code (ID) of 24. bit, status information (Status) is 8 bits, latitude information and longitude information are 24 bits each, information regarding earthquake occurrence time t0 is 48 bits, count value of counter 244 (CNT = N1) is 16 bits, shaking information (vibration waveform The component information (Ax, Ay, Az) has a data amount of 16 bits x 3 x N1, a total of (18+N1 x 2 x 3) bytes.

Note that the status information includes Option (4 bits) and BAT information (4 bits) that indicates the remaining battery level in 16 levels. Furthermore, the information regarding the earthquake occurrence time t0 includes year, month, day, hour, minute, and millisecond (msec), and is a total of 48 bits of information. represented.

In this way, in the shaking performance relative evaluation system 2 according to the second embodiment, the payload data PD2 created in the payload data creation unit 140 (see FIG. 2) of the network sensor 10 (see FIG. 2) has a data amount of Since this exceeds 128 bits, a telephone line or the Internet is used as a means of communication between the transmitter 150 and the receiver 30. Here, the telephone line includes not only a wired telephone line but also a mobile telephone line such as LTE (Long Term Evolution), 5G, and 6G. In addition, when using a mobile phone line, in the shaking performance relative evaluation system 2 according to the second embodiment, the receiving unit 30 is connected to a station close to each building (buildings BL1, BL2, . . . ) as shown in FIG. A communication base for mobile phone communication existing at the location can be used.

On the other hand, the server 210 serving as the analysis unit of the shaking performance relative evaluation device 20 acquires the vibration waveform component information included in the payload data PD2 transmitted from the network sensor 10, and uses the acquired vibration waveform component information to determine the vibration index ( Perform processing to create seismic intensity, maximum acceleration, maximum velocity, maximum displacement, duration of shaking, etc.).

In this way, in the shaking performance relative evaluation system 2 according to the second embodiment, on the server 210 side of the shaking performance relative evaluation device 20, the data included in the payload data PD2 (see FIG. 13) transmitted from the network sensor 10 is Processing is performed to create shaking indicators (seismic intensity, maximum acceleration, maximum velocity, maximum displacement, shaking duration, etc.) from the vibration waveform component information (Ax, Ay, Az).

In this way, if the shaking index (seismic intensity, maximum acceleration, maximum velocity, maximum displacement, duration of shaking, etc.) is calculated on the server 210 side of the shaking performance relative evaluation device 20, the shaking performance relative evaluation device 20 can calculate the shaking performance relative The evaluations (“comprehensive evaluation of land + building,” “evaluation of land,” and “evaluation of building”) are based on the shaking performance relative evaluation system 1 according to the first embodiment, as described with reference to FIGS. 7 to 11. It can be carried out in the same way as relative performance evaluation. Therefore, in the sway performance relative evaluation system 2 according to the second embodiment, a description of the sway performance relative evaluation based on the sway index will be omitted.

Also in the shaking performance relative evaluation system 2 according to the second embodiment, similar to the shaking performance relative evaluation system 1 according to the first embodiment, the managers who manage all the buildings that are subject to the shaking performance relative evaluation are stored in the database 230. Based on the data related to the relative evaluation of shaking performance, it is possible to understand the shaking performance of all the buildings that are subject to the relative evaluation of shaking performance, and it is also possible to relatively evaluate the shaking performance of each building.

Also, in the shaking performance relative evaluation system 2 according to the second embodiment, similarly to the shaking performance relative evaluation system 1 according to the first embodiment, each network sensor 10 receives alive payload data APD (for example, as shown in FIG. 6). (See FIG. 6.) at predetermined time intervals (for example, every 6 hours). As a result, the administrator who manages all the buildings knows the current state of the NS of each network sensor displayed on the display terminal (the current battery level of each network sensor 10, the posture of the network sensor 10, etc.) be able to.

Note that the present invention is not limited to the above-described embodiments, and various modifications can be made without departing from the gist of the present invention. For example, modifications as shown below are also possible.

(1) In each of the above embodiments, each network sensor 10 uses the battery 160 as a power supply source, but it is not limited to a battery. It may be an AC power source. Alternatively, the power source may include a conversion circuit that converts AC current from an external AC power source into DC current with a voltage suitable for each part of the network sensor.

(2) In the above embodiments, each network sensor 10 is provided with the GNSS receiver 120, but it is not essential that each network sensor 10 is provided with the GNSS receiver 120.

(3) In each of the above embodiments, the case where the network sensor 10 is operated by detecting the initial tremor of an earthquake by the initial tremor detection unit 130 having the configuration shown in FIG. For example, it is not necessary to provide a Alternatively, the A/D converter 141 determines that the vibration waveform has exceeded a predetermined level TH, and converts the vibration waveform after reaching the predetermined level TH into an A/D converter. /D conversion may be performed.

(4) In each of the above embodiments, if the alive payload data APD (see FIG. 6) transmitted from each network sensor 10 includes location information (latitude information and longitude information) of the network sensor 10; As an example, if the location information (latitude information and longitude information) of the network sensor 10 is registered in advance on the shaking performance relative evaluation device 20 side, the location information (latitude information and longitude information) of the network sensor 10 will be updated each time unless the installation location of the network sensor is changed. It can be said that there is no need to send it.

(5) In each of the above embodiments, the case where the maximum velocity among seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and duration of shaking is adopted as the shaking index is exemplified; however, shaking indicators other than the maximum velocity are used. (seismic intensity, maximum acceleration, maximum displacement, duration of shaking, etc.) may be adopted. Further, it is also possible to employ a plurality of shaking indicators such as seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and duration of shaking. In this case, among the multiple shaking indicators adopted, the degree of deviation of each shaking indicator from the "average shaking trend line" was determined, and the degree of deviation for each indicator was calculated as a deviation value. It is also possible to perform a weighted average of the deviation values and perform a sway performance relativity evaluation based on the result of the weighted average of the deviation values. Furthermore, shaking indicators include not only the above-mentioned maximum velocity, seismic intensity, maximum acceleration, maximum displacement, and shaking duration, but also SI (Spectral Intensity) values, damping constants, vibration periods, spectral information, etc. It can also be used.

(6) In each of the above embodiments, network sensors are installed at three locations in each building: the top of the building, the base of the building, and the land (ground surface) around the building. It is not limited to this, and may be one of these three locations.

(7) In the above embodiment, the receiving unit 30 is a communication base station installed outdoors as shown in FIG. 1, but the receiving unit 30 is located in a building where the server 210 is installed. You may do so. In addition, even if the buildings are installed outdoors, if the buildings subject to the relative evaluation of shaking performance are spread over a wide area, multiple receiving units (communication base station).

(8) In the above embodiment, the data accumulated in the database 230 includes not only the relative evaluation results of shaking performance, but also shaking indicators obtained for each building, such as seismic intensity, maximum acceleration (gal), and maximum speed. (cm/sec), maximum displacement (cm), shaking duration (sec), etc. can be stored in association with date and time information (year, month, day, minute, second) and identification information of each building (for example, building name). can. Further, these shaking indicators can be displayed on the display terminal 120 at any time. As a result, the administrator who manages all the buildings subject to the relative evaluation of shaking performance can evaluate the shaking performance of each building and the land surrounding each building for each building based on the shaking index stored in the database 230. can be grasped.

(9) In the embodiments described above, the network sensor 10 is used as a network sensor in the shaking performance relative evaluation systems 1 and 2 of Embodiments 1 and 2, but the present invention is not limited thereto. The network sensor of the present invention can be used for various purposes. For example, the shaking performance relative evaluation system of the present invention may be used to evaluate the shaking performance of individual buildings or analyze earthquakes (analysis of earthquake seismic intensity, analysis of earthquake occurrence frequency, analysis of earthquake vibration waveforms). It can also be used for other purposes.

1, 2... Shaking performance relative evaluation system, 10 (NS1, NS2,...)... Network sensor, 20... Shaking performance relative evaluation device, 30... Receiving unit, 40... GNSS satellite , 110... Acceleration sensor, 120... GNSS receiver, 130... Initial microtremor detection section, 140... Payload data creation section, 150... Transmission section, 160... Battery, 170... - Interrupt signal generation unit, 210... Server (analysis unit), 220... Display terminal, 230... Database (storage unit), BL1, BL2,... Building (each building), L1, L2, L3...Average shaking trend line, NS1a, NS2a,...Top network sensor, NS1b, NS2b,...Base network sensor, NS1c, NS2c,...Ground surface network sensor, PD1, PD2. ...Payload data, APD...Alive payload data

Claims (28)

an acceleration sensor, a payload data creation unit that creates payload data including shaking information based on a vibration waveform output by the acceleration sensor, a transmission unit that transmits the payload data created by the payload data creation unit, and the payload. Each network sensor is installed at a predetermined position in each of a plurality of buildings to be subjected to relative shaking performance evaluation, and has a power supply that serves as a power supply source to the data creation unit and the transmission unit;
The shaking device includes an analysis unit that receives the payload data transmitted from each of the network sensors via a receiving unit, analyzes the shaking information included in the payload data, and performs a relative evaluation of the shaking performance of each of the buildings. A shaking performance relative evaluation system comprising: a performance relative evaluation device;
Each of the network sensors is installed in at least one of the top of the building, the base of the building, and the land around the building for each of the buildings,
Using LPWA (Low Power Wide Area-network) as a communication means between the transmitter and the receiver,
The payload data creation unit includes, as the shaking information,
The vibration waveform is A/D converted in synchronization with a clock signal of a predetermined sampling period to obtain vibration waveform component information expressed by a predetermined number of bits for each clock signal, and the vibration waveform component information is calculated from the vibration waveform component information. It has the function of extracting the characteristics of the waveform to obtain a shaking index representing the characteristics of the vibration waveform, and creating payload data that includes the shaking index.
The shaking performance relative evaluation system is characterized in that the analysis unit has a function of analyzing the shaking index included in the payload data and performing a relative evaluation of the shaking performance of each of the buildings . an acceleration sensor, a payload data creation unit that creates payload data including shaking information based on a vibration waveform output by the acceleration sensor, a transmission unit that transmits the payload data created by the payload data creation unit, and the payload. Each network sensor is installed at a predetermined position in each of a plurality of buildings to be subjected to relative shaking performance evaluation, and has a power supply that serves as a power supply source to the data creation unit and the transmission unit;
The shaking device includes an analysis unit that receives the payload data transmitted from each of the network sensors via a receiving unit, analyzes the shaking information included in the payload data, and performs a relative evaluation of the shaking performance of each of the buildings. A shaking performance relative evaluation system comprising: a performance relative evaluation device;
Each of the network sensors is installed in at least one of the top of the building, the base of the building, and the land around the building for each of the buildings,
Using a telephone line or the Internet as a communication means between the transmitter and the receiver,
The payload data creation unit includes, as the shaking information,
A/D converting the vibration waveform in synchronization with a clock signal of a predetermined sampling period to obtain vibration waveform component information expressed by a predetermined number of bits for each of the clock signals, and including the vibration waveform component information. Has the ability to create payload data,
The analysis unit extracts the characteristics of the vibration waveform from the vibration waveform component information included in the payload data, obtains a shaking index representing the characteristics of the vibration waveform, and analyzes the vibration index to determine each of the vibration waveforms. A shaking performance relative evaluation system characterized by having a function of performing a relative evaluation of the shaking performance of a building . The shaking performance relative evaluation system according to claim 1 or 2 ,
A shaking performance relative evaluation system, wherein the shaking index includes at least one of seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and shaking duration. In the shaking performance relative evaluation system according to any one of claims 1 to 3 ,
The shaking performance relative evaluation device further includes an earthquake information acquisition unit that acquires information regarding the earthquake from the Japan Meteorological Agency, and when the analysis unit performs the shaking performance relative evaluation, the shaking performance relative evaluation device further includes an earthquake information acquisition unit that acquires information regarding the earthquake from the Japan Meteorological Agency. A relative evaluation system for shaking performance characterized by using information. The shaking performance relative evaluation system according to claim 4 ,
The shaking performance relative evaluation system, wherein the analysis unit does not perform the shaking performance relative evaluation during a period when information regarding an earthquake is not received from the Japan Meteorological Agency. In the shaking performance relative evaluation system according to claim 4 or 5 ,
The analysis unit calculates an "average shaking trend line" for the plurality of buildings based on the shaking index and the information regarding the earthquake, and calculates the "average shaking trend line" and each of the buildings. A sway performance relative evaluation system, characterized in that the sway performance relative evaluation is performed from the sway index obtained in response to the sway performance. The shaking performance relative evaluation system according to claim 6 ,
For the relative evaluation of the shaking performance,
Contains at least one of the following: "Comprehensive relative evaluation of the shaking performance of the land surrounding the building and the building,""Relative evaluation of the shaking performance of the land surrounding the building," and "Relative evaluation of the shaking performance of the building." A relative evaluation system for shaking performance. The shaking performance relative evaluation system according to claim 7 ,
When performing the above-mentioned "Comprehensive relative evaluation of the shaking performance of the land and building surrounding the building",
When the shaking index corresponding to each building included in the payload data transmitted from each network sensor installed at the top of each building is defined as the "top shaking index" corresponding to each building,
Based on the "top shaking index" corresponding to each building, the "average shaking trend line" of the plurality of buildings is determined according to the distance from the epicenter included in the information about the earthquake, and The relative evaluation of shaking performance is characterized in that the above-mentioned ``comprehensive relative evaluation of the shaking performance of the land and building around the building'' is performed from the ``shaking trend line'' and the ``top shaking index'' corresponding to each building. system. The shaking performance relative evaluation system according to claim 7 ,
When performing the above-mentioned “relative evaluation of the shaking performance of the land surrounding the building”,
The shaking index corresponding to the land surrounding each building, which contains the payload data sent from each network sensor installed on the land surrounding each building, is When it is referred to as “sway index”,
Based on the "land shaking index" corresponding to the land surrounding each building, find the "average shaking trend line" for the plurality of buildings according to the distance from the epicenter included in the earthquake information. , a shaking characterized in that the "relative evaluation of the shaking performance of the land around the building" is performed from the "average shaking trend line" and the "land shaking index" corresponding to the land around each of the buildings. Performance relative evaluation system. The shaking performance relative evaluation system according to claim 7 ,
When performing the above-mentioned “relative evaluation of building shaking performance”,
The shaking index corresponding to each building included in the payload data transmitted from the network sensor installed at the top of each building is defined as the "top shaking index" corresponding to each building. When the shaking index corresponding to each building included in the payload data sent from the network sensor installed in the building is taken as the "base shaking index" corresponding to each building,
The ratio of the "top sway index" corresponding to each building and the "base sway index" corresponding to each building is determined as the "sway index ratio" for each building, and based on the "sway index ratio" for each building. The "average shaking trend line" of the plurality of buildings is determined, and the "relative evaluation of building shaking performance is calculated from the average shaking trend line" and the "swaying index ratio" of each building ” A relative evaluation system for shaking performance. In the shaking performance relative evaluation system according to any one of claims 6 to 10 ,
When the analysis unit performs the relative evaluation of shaking performance, it calculates a deviation value based on the degree of deviation from the "average shaking trend line" for each of the buildings, and uses the deviation value to calculate the deviation value from the "average shaking trend line". A shaking performance relative evaluation system characterized by performing a shaking performance relative evaluation. In the shaking performance relative evaluation system according to any one of claims 6 to 11 ,
The relative evaluation of shaking performance performed by the analysis unit includes ranking the relative evaluation of shaking performance of each building among the plurality of buildings based on the relative evaluation of shaking performance performed for each building. A shaking performance relative evaluation system characterized by including processing for performing. The shaking performance relative evaluation system according to any one of claims 1 to 12 ,
Each of the network sensors further includes an initial tremor detection unit that detects an initial tremor when an earthquake occurs from the vibration waveform output by the acceleration sensor,
The shake performance relative evaluation system, wherein the payload data creation unit creates payload data including shaking information based on the vibration waveform after the initial microtremor detection unit detects the initial microtremor. The shaking performance relative evaluation system according to claim 13 ,
The shaking performance is characterized in that, when the initial tremor detection unit detects an initial tremor when the earthquake occurs, it supplies power from the power source to the payload data creation unit to start the payload data creation unit. Relative rating system. The shaking performance relative evaluation system according to any one of claims 1 to 14 ,
Each of the network sensors further includes a GNSS receiver that receives GNSS signals from a GNSS satellite;
The sway performance relative evaluation system is characterized in that the payload data creation unit creates payload data that includes time information obtained from the GNSS receiver in addition to the sway information. The shaking performance relative evaluation system according to any one of claims 1 to 15 ,
The shaking performance relative evaluation system, wherein the receiving unit is installed between each network sensor and the shaking performance relative evaluation device, or within the shaking performance relative evaluation device. The shaking performance relative evaluation system according to any one of claims 1 to 16 ,
The shaking performance relative evaluation device further includes a storage unit that accumulates the shaking performance relative evaluation analyzed by the analysis unit,
The shaking performance relative evaluation system is characterized in that the analysis unit calculates the secular change of each building using the shaking performance relative evaluation accumulated in the storage unit. The shaking performance relative evaluation system according to any one of claims 1 to 17 ,
Each of the network sensors further includes an interrupt signal generation unit that generates an interrupt signal for creating alive information indicating the current state of each network sensor,
The shaking performance relative evaluation system, wherein the interrupt signal generating section provides the interrupt signal to the payload data generating section at predetermined time intervals. The shaking performance relative evaluation system according to claim 18 ,
The shake performance relative evaluation system, wherein the payload data creation unit creates alive information including information representing the state of the network sensor every time the interrupt signal is given. The shaking performance relative evaluation system according to claim 18 or 19 ,
A shaking performance relative evaluation system, wherein the alive information is configured as payload data of 128 bits or less. acceleration sensor and
a payload data creation unit that creates payload data including shaking information based on the vibration waveform output by the acceleration sensor;
a transmitting unit that transmits the payload data created by the payload data creating unit; a power source that serves as a power supply source to the payload data creating unit and the transmitting unit;
A network sensor characterized by having
The payload data creation unit includes, as the shaking information,
The vibration waveform is A/D converted in synchronization with a clock signal of a predetermined sampling period to obtain vibration waveform component information expressed by a predetermined number of bits for each clock signal, and the vibration waveform component information is calculated from the vibration waveform component information. A network sensor characterized by having a function of extracting waveform characteristics to obtain a shaking index representing the characteristics of the vibration waveform, and creating payload data including the shaking index . The network sensor according to claim 21 ,
further comprising an initial tremor detection unit that detects an initial tremor when an earthquake occurs from a vibration waveform output by the acceleration sensor,
The network sensor is characterized in that the payload data creation section creates payload data including shaking information based on the vibration waveform after the initial microtremor detection section detects the initial microtremor. The network sensor according to claim 22 ,
The network sensor is characterized in that, when the initial tremor detection unit detects an initial tremor when the earthquake occurs, it supplies power from the power source to the payload data creation unit to start the payload data creation unit. . The network sensor according to any one of claims 21 to 23 ,
further comprising a GNSS receiver for receiving GNSS signals from a GNSS satellite;
The network sensor is characterized in that the payload data creation unit creates payload data that includes time information obtained from the GNSS receiver in addition to the shaking information. The network sensor according to any one of claims 21 to 24 ,
further comprising an interrupt signal generation unit that generates an interrupt signal for creating alive information indicating the current status of the network sensor,
The network sensor, wherein the interrupt signal generation section provides the interrupt signal to the payload data creation section at predetermined time intervals. The network sensor according to claim 25 ,
The network sensor is characterized in that the payload data creation unit creates alive information including information representing a state of the network sensor each time the interrupt signal is given. The network sensor according to claim 25 or 26 ,
A network sensor characterized in that the alive information is configured as payload data of 128 bits or less. The network sensor according to any one of claims 21 to 27 ,
A network sensor, wherein the network sensor is a network sensor used in the relative shaking performance evaluation system according to any one of claims 1 to 20 .

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