JP2022018034A - Shake performance relative evaluation system and network sensor - Google Patents

Abstract

To provide a shake performance relative evaluation system which evaluates shake performance of many buildings at a time and can relatively evaluate the shake performance of many buildings on the basis of a result of evaluation.SOLUTION: A shake performance relative evaluation system has: an acceleration sensor; a payload data creation part creating payload data including shake information based on vibration waveforms output by the acceleration sensor; a transmission part transmitting the payload data created by the payload data creation part; and a power supply to be a power supply source to the payload data creation part and the transmission part. The system is provided with: respective network sensors 10 installed at prescribed positions of respective buildings BL1, BL2,...; and a shake performance relative evaluation device 20 which has an analysis part that receives the payload data transmitted by the respective network sensors 10 via a reception part 30, analyzes the shake information included in the payload data, and performs shake performance relative evaluation of the respective buildings BL1, BL2,....SELECTED DRAWING: Figure 1

Description

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

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

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

The building soundness evaluation system 900 configured in this way is derived by the response degree derivation unit 922 based on the measurement data measured by the acceleration measurement units (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 seismic motion, the degree of deformation derived by the degree of deformation derivation unit 923, and the degree of plasticity derived by the degree of plasticity derivation unit 924. This determination result is transmitted by the information notification control unit 925 to the information notification unit 940, and the determination result determined by the soundness evaluation unit 926 is displayed on a display screen (not shown).

Japanese Unexamined Patent Publication No. 2017-227507

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

The present invention has been made in view of the above circumstances, and is capable of collectively evaluating the shaking performance of a large number of buildings and relatively evaluating 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 of such a shaking performance relative evaluation system.

[1] The shaking performance relative evaluation system of the present invention is created by an acceleration sensor, a payload data creating unit that creates payload data including vibration information based on the vibration waveform output by the acceleration sensor, and the payload data creating unit. A predetermined position of each building in a plurality of buildings having a transmission unit for transmitting the payload data, a power supply serving as a power supply source for the payload data creation unit and the transmission unit, and a target for relative evaluation of shaking performance. Each network sensor installed in the building and the payload data transmitted from each network sensor are received via a receiving unit, and the shaking information included in the payload data is analyzed to obtain the shaking performance of each building. It is characterized by comprising a shaking performance relative evaluation device having an analysis unit for performing relative evaluation.

[2] In the preliminary tremors evaluation system of the present invention, each network sensor further has an preliminary tremors detection unit that detects preliminary tremors when an earthquake occurs from the vibration waveform output by the acceleration sensor. It is preferable that the preliminary tremors detection unit creates the preliminary tremors data including the vibration information based on the vibration waveform after the preliminary tremors detection unit detects the preliminary tremors.

[3] In the preliminary tremors detection system of the present invention, when the preliminary tremors detection unit detects the preliminary tremors when the earthquake occurs, the preliminary tremors supply power is supplied to the payload data creation unit. It is preferable to activate the payload data creation unit.

[4] In the shaking performance relative evaluation system of the present invention, each network sensor further has a GNSS receiver for receiving a GNSS signal from a GNSS satellite, and the payload data creation unit is in addition to the shaking information. , 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 in 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 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. 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 creating unit uses the shaking. As information, the vibration waveform is A / D converted in synchronization with a clock signal having a predetermined sampling period to obtain vibration waveform component information represented by a predetermined number of bits for each clock signal, and the vibration waveform component information is obtained. It has a function of extracting the characteristics of the vibration waveform from the above to obtain a vibration index representing the characteristics of the vibration waveform and creating payload data including the vibration index, and the analysis unit is included in the payload data. It is preferable to have 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 creating unit uses the vibration as the shaking information. A / D conversion is performed on the waveform in synchronization with a clock signal having a predetermined sampling period to obtain vibration waveform component information represented by a predetermined number of bits for each clock signal, and payload data including the vibration waveform component information. 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 vibration index representing the characteristics of the vibration waveform, analyzes the vibration index, and analyzes each of the above. It is preferable to have a function to perform a relative evaluation of the shaking performance of the 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 has an earthquake information acquisition unit for acquiring information about an earthquake from the Japan Meteorological Agency, and the analysis unit performs the shaking performance relative evaluation. When doing so, it is preferable to use information about the earthquake including the source of the earthquake emitted 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 the period when the information regarding the earthquake from the Japan Meteorological Agency is not received.

[12] In the shaking performance relative evaluation system of the present invention, the analysis unit obtains an "average shaking tendency line" in the plurality of buildings based on the shaking index and information on the earthquake. It is preferable to perform the relative evaluation of the shaking performance from the "average shaking tendency 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 "comprehensive shaking performance relative evaluation of the land around the building and the building" and "sway performance relative of the land around the building". It is preferable that at least one of "evaluation" and "relative evaluation of shaking performance of the building" 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 around the building and the building", each network installed at the top of each building. When the shaking index corresponding to each building included in the payload data transmitted from the sensor is set as the "top shaking index" corresponding to each building, it is based on the "top shaking index" corresponding to each building. , The "average swaying tendency line" in the plurality of buildings according to the distance from the epicenter included in the information about the earthquake was obtained, and the "average swaying tendency line" and each of the buildings were dealt with. It is preferable to perform the above-mentioned "comprehensive sway performance relative evaluation of the land around the building and the building" from the "top sway index".

[15] In the shaking performance relative evaluation system of the present invention, when performing the "shaking performance relative evaluation of the land around the building", transmission is performed from each network sensor installed on the land around each building. When the shaking index corresponding to the land around each building included in the incoming payload data is set as the "land shaking index" corresponding to the land around each building, it corresponds to the land around each building. Based on the "land sway index", the "average sway tendency line" in the plurality of buildings according to the distance from the epicenter included in the information about the earthquake is obtained, and the "average sway tendency line" is obtained. 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 the "building shaking performance relative evaluation" is performed, it is included in the payload data transmitted from the network sensor installed at the top of each building. The shaking index corresponding to each building is referred to as the "top shaking index" corresponding to each building, and each building included in the payload data transmitted from the network sensor installed at the base of each building. When the shaking index corresponding to each building is the "base shaking index" corresponding to each building, the ratio of the "top shaking index" corresponding to each building and the "base shaking index" corresponding to each building is calculated. Obtained as the "shaking index ratio" in a building, and based on the "shaking index ratio" in each building, the "average shaking tendency line" in the plurality of buildings is obtained, and the "average shaking tendency line" is obtained. It is preferable to perform the "relative evaluation of the shaking performance of the building" from the "sway index ratio" in each of the buildings.

[17] In the shaking performance relative evaluation system of the present invention, when the analysis unit performs the shaking performance relative evaluation, a deviation value based on the degree of deviation from the "average shaking tendency line" is calculated. It is preferable to obtain the values for each of the buildings and perform the relative evaluation of the shaking performance based on the deviation value.

[18] In the shaking performance relative evaluation system of the present invention, the shaking performance relative evaluation performed by the analysis unit is performed on the plurality of buildings based on the shaking performance relative evaluation performed corresponding to each building. It is preferable that the process of ranking the relative evaluation of the shaking performance of each of the buildings is included.

[19] In the shaking performance relative evaluation system of the present invention, the shaking performance relative evaluation device further has a storage unit for accumulating the shaking performance relative evaluation analyzed by the analysis unit, and the analysis unit has the storage unit. It is preferable to obtain the secular change of each building by using the relative evaluation of the shaking performance accumulated in the section.

[20] In the shaking performance relative evaluation system of the present invention, each network sensor further has 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 generation unit gives the interrupt signal to the payload data creation unit at predetermined time intervals.

[21] In the shaking performance relative evaluation system of the present invention, it is preferable that the payload data creating unit creates alive information including information indicating the state of the network sensor each 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 within 128 bits.

[23] The network sensor of the present invention includes an acceleration sensor, a payload data creating unit that creates payload data including vibration information based on a vibration waveform output by the acceleration sensor, and the payload created by the payload data creating unit. It is characterized by having a transmission unit for transmitting data, a payload data creation unit, and a power source serving as a power supply source for the transmission unit.

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

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

[26] The network sensor of the present invention further includes a GNSS receiver for receiving a GNSS signal from a GNSS satellite, and the payload data creating unit has a time obtained from the GNSS receiver in addition to the shaking information. It is preferable to create payload data containing information.

[27] In the network sensor of the present invention, the payload data creation unit performs A / D conversion of the vibration waveform in synchronization with a clock signal having a predetermined sampling period as the fluctuation information for each clock signal. The vibration waveform component information represented by a predetermined number of bits is obtained, the characteristics of the vibration waveform are extracted from the vibration waveform component information, the vibration index representing the characteristics of the vibration waveform is obtained, and the payload including the vibration index is obtained. It is preferable to have a 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 is the interrupt. It is preferable to give a signal to the payload data creation unit 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 indicating the state of the network sensor each time the interrupt signal is given. Is preferable.

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

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

[32] The network sensor of the present invention includes an acceleration sensor, a payload data creating unit that creates payload data including vibration information based on a vibration waveform output by the acceleration sensor, and the payload created by the payload data creating unit. To create alive information showing the current status of the network sensor, the transmission unit that transmits data, the initial tremor detection unit that detects the initial tremor when an earthquake occurs from the vibration waveform output by the acceleration sensor. It has an interrupt signal generation unit that generates an interrupt signal at predetermined time intervals, and the payload data creation unit creates payload data including the shaking information when the initial tremor detection unit detects the initial tremor. When the interrupt signal generation unit generates an interrupt signal, the alive information is created as alive payload data.

In the shaking performance relative evaluation system of the present invention, on the network sensor side installed in each building, payload data including shaking information based on the vibration waveform output by the acceleration sensor is created, and the payload data is transmitted. Relative evaluation of shaking performance The device side receives the payload data transmitted from each network sensor installed in each building, analyzes the shaking information contained in the received payload data, and evaluates the relative shaking performance of each building. I try to do. Thereby, according to the shaking performance relative evaluation system of the present invention, it is possible to collectively evaluate the shaking performance of a large number of buildings and relatively evaluate the shaking performance of a large number of buildings.

Further, in the network sensor of the present invention (the network sensor according to any one of [23] to [31] above), an acceleration sensor is provided by installing the network sensor on each building side to be subject to relative evaluation of shaking performance. Payload data including vibration information based on the vibration waveform output by is created, and the payload data is transmitted. As a result, according to the network sensor of the present invention, information necessary for the shaking performance evaluation on the shaking performance relative evaluation device side can be transmitted, and it can be suitably used as a network sensor of the shaking performance relative evaluation system of the present invention. Will be.

Further, according to the network sensor of the present invention (the network sensor described in [32] above), when the initial tremor detection unit detects the initial tremor, it creates payload data including sway information, so that there is an earthquake. Occasionally, shaking information can be created and transmitted reliably and with low power consumption, and when the interrupt signal generator generates an interrupt signal at predetermined time intervals, alive information is created as alive payload data. It is 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 according to [32] above), the preliminary tremors are not detected when the earthquake does not occur for a long period of time, so that the payload data is not transmitted from the network sensor for a long period of time. .. On the other hand, for example, even when the battery of the network sensor runs out, the payload data will not be transmitted from the network sensor for a long period of time, and a situation may occur in which the two cannot be distinguished. However, according to the network sensor of the present invention (the network sensor according to the above [32]), the active payload data is created and transmitted at predetermined time intervals, so that the two can be distinguished from each other, and the above situation can be distinguished. It can be prevented from occurring. From this point of view, the network sensor of the present invention (the network sensor according to the above [32]) is particularly suitable when it is a network sensor including a battery as a power source.

It is a figure which shows typically the shaking performance relative evaluation system 1 which concerns on Embodiment 1. It is a figure which shows the structure of the network sensor 10 which concerns on Embodiment 1. FIG. It is a time chart for demonstrating the operation of each part of a network sensor 10. It is a figure which shows typically an example of the payload data PD1 created in the payload data creation unit 140 of the shaking performance relative evaluation system 1 which concerns on Embodiment 1. FIG. It is a flowchart which shows the operation algorithm of a network sensor 10. It is a figure which shows an example of the alive payload data APD schematically. It is a flowchart for demonstrating the sway performance relative evaluation performed by the server 210 as an analysis part when an earthquake occurs. It is a figure for demonstrating "comprehensive evaluation of land and a building". It is a figure for explaining "evaluation of land". It is a figure for demonstrating "evaluation of a building". It is a figure which shows to explain the acquisition of the shaking index (for example, the maximum speed) at the time of performing "comprehensive evaluation of land + building", "evaluation of building" and "evaluation of land". It is a figure which shows typically the shaking performance relative evaluation system 2 which concerns on Embodiment 2. It is a figure which shows an example of the payload data PD2 created by the payload data creating unit 140 in the network sensor 10 of the shaking performance relative evaluation system 2 which concerns on Embodiment 2. FIG. It is a figure which shows for demonstrating the building soundness evaluation system 900 described in Patent Document 1.

Hereinafter, embodiments of the present invention will be described.
[Embodiment 1]
FIG. 1 is a diagram schematically showing the shaking performance relative 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 has network sensors NS1, NS2, ... And network sensors NS1 installed at predetermined positions of buildings BL1, BL2, .... , NS2, ... Receives the "sway information" of each building transmitted through the receiving unit 30, analyzes the received shaking information, and evaluates the relative shaking performance of the buildings BL1, BL2, ... It is provided with a shaking performance relative evaluation device 20 having an analysis unit (server) 110 to perform. The details of the network sensors NS1, NS2, ... And the shaking performance relative evaluation device 20 will be described later.

Although only two buildings BL1, BL2, ... Are shown in FIG. 1, 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. It is assumed that it exists. Further, the "sway information" refers to a "sway index" that represents the characteristics of the vibration waveform due to an earthquake in the sway performance relative evaluation system 1 according to the first embodiment, and the "sway index" is detailed. Will be described later.

The network sensors NS1, NS2, ... In the shaking performance relative evaluation system 1 according to the first embodiment, in the building BL1, BL2, ..., The top of the building BL1, BL2, ..., the building BL1, BL2 ... , ... is installed at the base of buildings BL1, BL2, ... and the land (ground surface) around them. Here, the network sensors installed at the tops of the buildings BL1, BL2, ... Are the top network sensors NS1a, NS2a, ..., And the network sensors installed at the bases of the 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, .... In addition, "land around the building" shall be included in the predetermined position of each building.

The network sensors NS1a, NS2a, ..., NS1b, NS2b, ..., NS1c, NS2c, ... Installed at three locations in the buildings BL1, BL2, ... Are basically the same configuration. It has become. Therefore, in the following description, when referring to the entire network sensor without specifying the installation location in the building BL1, BL2, ... Or the building BL1, BL2, ..., in this specification, For convenience, it will be described as "network sensor 10". Further, the buildings BL1, BL2, ... May be abbreviated as "each building".

FIG. 2 is a diagram showing a configuration of a 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 composed of a MEMS (Micro Electro Mechanical Systems) semiconductor, a GNSS receiver 120 that receives radio waves from the GNSS (Global Navigation Satellite System) satellite 40 shown in FIG. 1, and an acceleration sensor 110. Obtained from the initial tremor detection unit 130 that detects the initial tremor when an earthquake occurs from the vibration waveform output by, and the sway information and GNSS receiver 120 based on the vibration waveform after the initial tremor detection unit 130 detects the initial tremor. A payload data creation unit 140 that creates payload data including time information, a transmission unit 150 that transmits payload data created by the payload data creation unit 140, an acceleration sensor 110, a GNSS receiver 120, and an initial fine movement detection unit. It has a 130, a payload data creating unit 140, and a battery 160 as a power source that serves as a power supply source for the transmitting unit 150.

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

As described above, the accelerometer 110 uses an accelerometer composed of a MEMS semiconductor, and causes a slight change in acceleration on three axes (Ax, Ay, Az) at a place where the network sensor 10 is installed. It can be detected as a vibration waveform with high sensitivity and low noise. The acceleration due to the earthquake is detected on three axes (Ax, Ay, Az), but in FIG. 2, in order to prevent the figure from becoming complicated, one line on the three axes (Ax, Ay, Az). It is shown by.

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

The preliminary tremors 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. The power from the 160 is supplied to the payload data creation unit 140 to activate the payload data creation unit 140. Here, the low-pass filter 131 has a function of further reducing noise by passing the preliminary tremor acceleration signal captured by the acceleration sensor 110 and removing noise. Further, the envelope detection circuit (ENV) 132, the comparator 133, the wakeup circuit (WakeUp) 134 and the like will be described later.

The payload data creation unit 140 includes an A / D converter 141, a crystal oscillator 142, a frequency divider 143, a counter 144, a CPU 145, and a non-volatile memory 146. The operation of the payload data creating unit 140 and the like 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 preliminary tremors detection unit 130, the payload data creation unit 140, and the transmission unit 150. Electric power is constantly supplied to the acceleration sensor 110 and the preliminary tremors detection unit 130. Therefore, the preliminary tremors detection unit 130 is always in a state where the output from the acceleration sensor 110 can be acquired. As described above, the preliminary tremors detection unit 130 and the preliminary tremors detection unit 130 are constantly supplied with electric power, but the preliminary tremors 110 made of the MEMS semiconductor is inexpensive, compact, lightweight, and has low power consumption. The preliminary tremors detection unit 130 detects the preliminary tremors due to an earthquake with low power consumption and high sensitivity, and if the preliminary tremors are not detected, the state of low power consumption is maintained as it is. Therefore, even if power is constantly supplied to the acceleration sensor 110 and the preliminary tremors detection unit 130, the state of low power consumption is maintained.

Further, the network sensor 10 further has an interrupt signal generation unit 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 type timer 171 with extremely low power consumption and a battery (for example, a coin battery) 172 for driving the timer 171. For example, regardless of the presence or absence of an earthquake. , An interrupt signal is given to the payload data creation unit 140 at predetermined time intervals over a long period of several years, and the CPU 145 is started 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 fine movement detection unit 130 adds the three-axis outputs (vibration waveforms) output from the acceleration sensor 110 to form one vibration waveform (see FIG. 3A), according to the following equation (1). Detects the envelope and outputs the envelope waveform (see FIG. 3B). Note that FIGS. 3 (A) and 3 (B) schematically show the respective waveforms.

Env (n) = Square {Ax (n), Ax (n) + Ay (n), Ay (n) + Az (n), Az (n)} ... (1)
In Eq. (1), n represents the sample number and Sqrt {} represents the square root.

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

The preliminary tremors detection unit 130's wake-up circuit 134 may have detected the preliminary tremors (P wave) when the comparator 133 outputs logic '1', so the power from the battery 160 is used as payload data. It is supplied (Power ON) to the creation unit 140 (see FIG. 3D) to activate the payload data creation unit 140.

Specifically, the preliminary tremors detection unit 130 applies the power from the battery 160 to the CPU 145 of the payload data creation unit 140 to activate the CPU 145 in the sleep state with low power consumption. When the CPU 145 is activated, each component other than the CPU 145 of the payload data creation unit 140 is activated, and the GNSS receiver 120 and the transmission unit 150 are also activated. As a result, the GNSS receiver 120, the payload data creation unit 140, and the transmission unit 150 are in an operable state. The wake-up circuit 134 is held in the "Power ON" state until a reset pulse (see FIG. 3 (I)) is emitted from the CPU 145.

The GNSS receiver 120 and the transmitter 150 may be constantly supplied with electric power from the battery 160, and the GNSS receiver 120 and the transmitter 150 may be in an operable state at all times. ..

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

The counter 144 is in the "Power ON" state (see FIG. 3D) by the wake-up circuit 134, that is, after the preliminary tremors (P wave) are detected (the output of the comparator 133 becomes '1'). Later), the 1 KHz clock signal obtained by the frequency divider 143 is sequentially counted (see FIG. 3 (F)), and the count value CNT is given to the CPU 145. That is, the preliminary tremors (P wave) are detected at the timing T1 when the output of the comparator 133 becomes '1', and the counter 144 is set to the count value CNT = 0 at the moment when the payload data creation unit 140 starts operation. (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 synchronizes with the 1 KHz clock signal to generate a vibration waveform of three axes (Ax, Ay, Az) from the acceleration sensor 110. Convert to a 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 represented by a predetermined number of bits (16 bits) for each clock signal.

Then, when the vibration due to the earthquake converges, 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. 3C), it can be determined that the vibration caused by the earthquake has converged. Further, whether or not the earthquake has converged can also be determined by the CPU 145 monitoring whether or not the absolute level of the acceleration signal obtained from the acceleration sensor 110 maintains a low level state for a predetermined time. ..

In this case, it is assumed that the count value CNT of the clock signal from the detection of the initial tremor (P wave) to the convergence of the earthquake is N1, and the vibration waveform component information corresponding to each clock signal is in this case. Since each is represented by 16 bits, 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 the GNSS signal from the GNSS satellite 40, and the GNSS receiver 120 outputs the correct time t1 based on the GNSS signal. Let the count value CNT of the timing T3 (see FIG. 3 (E)) be N2 (see FIG. 3 (F)). In the CPU 145, the time of the timing T1 at which the preliminary tremors (P wave) is detected from the correct time t1 obtained from the GNSS receiver 120 and the count value N2 at that time is determined with high accuracy as the earthquake occurrence time t0. Can be done. That is, the earthquake occurrence time t0 can be obtained by the following equation (2).

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

On the other hand, the CPU 145 has the vibration waveform component information (clock) obtained by the A / D converter 141 after the preliminary tremors (P wave) are detected (timing T1 or later) after the output of the comparator 133 becomes '1'. The vibration index (described later) is obtained from the vibration waveform component information represented by 16 bits for each signal, and the identification information (ID), time information, etc. of the network sensor 10 are added to the obtained vibration index, and these are added. Collectively create the payload data PD1 (see FIG. 3 (G)). After that, the payload data PD1 is transmitted from the transmission unit 150 (see FIG. 3H). Then, when all the processing is completed, the CPU 145 outputs a Reset pulse at the timing T5 (see FIG. 3 (I)). As a result, the wake-up circuit 134 of the preliminary tremors detection unit 130 turns off the power supply (see FIG. 3D).

By the way, as the "sway index" obtained by the CPU 145, for example, information on the seismic intensity, the maximum acceleration, the maximum speed, the maximum displacement, and the duration of the sway can be exemplified. However, it may not be necessary to use all of these as the shaking index, and it can be selected as appropriate. However, here, information on the seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and shaking duration is used as the shaking index. It shall be adopted. Then, the payload data PD1 (see FIG. 4) to which the identification code (ID) of the network sensor 10, the earthquake occurrence time information (Hour, Min, Sec) and the option for expansion are added to these shaking indexes is created. , The payload data PD1 is transmitted from the transmission unit 150.

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

Here, if the amount of data transmitted at one time is 128 bits or less, communication by 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 transmission unit 150 and the reception unit (communication base station) 30.

As described above, the payload data creation unit 140 A / D-converts the vibration waveform from the acceleration sensor 110 in synchronization with the clock signal having a sampling period of 1 KHz, and the vibration represented by 16 bits for each clock signal. Waveform component information is obtained, and the characteristics of the vibration waveform are extracted from the obtained vibration waveform component information to obtain a vibration index representing the characteristics of the vibration waveform. Then, the payload data (payload data having a data amount of 128 bits or less) PD1 including the fluctuation index is created. The transmission unit 150 of the network sensor 10 transmits PD1 of payload data (payload data having 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 an operation algorithm of the network sensor 10. Since the operation of the network sensor 10 has already been described mainly with reference to FIG. 3, here, each step will be simplified and described.

First, in step SP1, the preliminary tremors detection unit 130 repeatedly detects the preliminary tremors (P wave) with low power consumption and high sensitivity. When the P wave is not detected (when the P wave level is less than TH), the state of low power consumption is maintained as it is. On the other hand, when a P wave is detected (when the P wave level is TH or higher), the payload data creation unit 140 in the sleep state is activated (power ON) (step SP2), and the payload data creation unit 140 causes an earthquake. The seismic acceleration (vibration waveform) is acquired (step SP3). Then, the A / D conversion is started and the clock signal is counted up (step SP4). Specifically, in the process of step SP4, the vibration waveform acquired in step SP3 is A / D converted in synchronization with a clock signal having a predetermined sampling period (here, 1 KHz), and a predetermined number of bits is used for each clock signal. This is a process of counting up the clock signal while obtaining the vibration waveform component information represented by.

After that, it is determined whether or not the earthquake has converged (step SP5). When it is determined in step SP5 that the earthquake has not converged (in the case of "NO"), the process of acquiring the seismic 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 period 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 or not 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 the process. 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, the count value CNT until the correct time t1 is obtained (when CNT = N2 is obtained, the count value CNT (CNT = N2) and the correct time t1 are obtained from the above-mentioned equation (2). The earthquake occurrence time t0 is calculated (step SP10). After that, 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 the shaking index (seismic intensity, maximum acceleration, maximum speed, maximum displacement, shaking duration, etc.) from the vibration waveform component information. Then, the payload data PD1 including the shaking index is transmitted from the transmission unit 150 (step SP12), and the power supply of the payload data creation unit 140 is set to the OFF state (sleep state) (step SP13). ).

Further, the network sensor 10 in the shaking performance relative evaluation system 1 according to the first embodiment not only creates the payload data PD1 including the above-mentioned shaking index and transmits the created payload data PD1 but also 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).

The alive payload data APD is created by the interrupt signal emitted from the interrupt signal generation unit 170 (see FIG. 2). That is, when the interrupt signal generation unit 170 is given to the CPU 145 of the payload data creation unit 140 at predetermined time intervals (for example, every 6 hours) from the interrupt signal generation unit 170, the sleep state is entered every time the interrupt signal is given. At the same time as the CPU 145 is activated, each part necessary for creating and transmitting the alive information is activated, and the creation of the alive information and the created alive information are transmitted.

Here, the alive information includes identification information (ID) of the network sensor 10 and information indicating the state of the network sensor 10. This alive information is configured as payload data within 128 bits (alive payload data APD). Here, examples of the information indicating the state of the network sensor 10 include battery remaining amount information indicating the remaining amount of the battery 160 and posture information indicating the posture of the network sensor 10. Since the identification information (ID) of the network sensor 10 can be transmitted not only in the format of the payload data but also in another data format, 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 posture of the network sensor 10 is the average acceleration (Bx, By) of each 12 bits obtained by integrating the acceleration signals (Ax, Ay, Az) for a predetermined time (for example, 10 seconds) and then dividing by a predetermined constant. , Bz). From this average acceleration (Bx, By, Bz), it is possible to detect that the posture of the acceleration sensor 110 has changed due to some external factor or the like, for example, the acceleration sensor 110 is tilted sideways or diagonally. In addition to the above information, the alive information may include latitude information and longitude information acquired from the GNSS receiver 120.

FIG. 6 is a diagram schematically showing an example of the 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. In addition to the identification code (ID), the alive payload data APD includes 5-bit status information (Status), 24-bit latitude information (GNSS), 24-bit longitude information (GNSS), and 6-bit alive information. Creation time (for example, the time when the acceleration signal was acquired from the acceleration sensor 110 to obtain 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 a total of 128 bits.

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) representing the digitally digitized battery remaining amount in 16 steps, for example. have.

The event information (Event) is set to "0" in the steady state, and is set to "1" in the non-steady state such as when some abnormal situation is detected. 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 expressing the 6-digit information after the decimal point (“030160” and “155298” in the above example) of the latitude information (GNSS) and the longitude information (GNSS) in BCD (Binary Coded Decimal), each of them has 24-bit latitude information and 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 information of the latitude information and the longitude information supplied from the GNSS receiver 120.

By the way, the process for creating the payload data PD1 shown in FIG. 4 and the alive payload data APD shown in FIG. 6 does not specify each building here, and the installation location in each building (top of the building, Although it was described as the processing of the entire network sensor 10 without specifying the building base (building base, ground surface), in reality, the top network sensors NS1a, NS2a, ..., Base network installed at the top of each building. Processing for creating the payload data PD1 shown in FIG. 4 and the alive payload data APD shown in FIG. 6 is performed for each of the sensors NS1b, NS2b, ..., The ground surface network sensors NS1c, NS2c, ... ..

Therefore, the payload data PD1 and the alive payload data APD are used for each network sensor 10, that is, the top network sensors NS1a, NS2a, ..., the base network sensors NS1b, NS2b, ..., the ground surface network sensors NS1c, NS2c, The payload data PD1 and the alive payload data APD created for each ... are the top network sensors NS1a, NS2a, ..., the base network sensors NS1b, NS2b, ..., the ground surface network sensors NS1c, NS2c. , ... Is transmitted from the transmission unit 150.

Subsequently, the shaking performance relative evaluation device 20 (see FIG. 1) will be described. The shaking performance relative evaluation device 20 is obtained by analysis by the server 210 as an analysis unit, a display terminal 220 that displays various information (such as the shaking performance relative evaluation result) obtained by the analysis by the server 210, and the server 210. It has a database 230 that stores various information (relative evaluation results of shaking performance, etc.) and an earthquake information acquisition unit (not shown) that acquires information about earthquakes (earthquake information such as epicenters) from the Meteorological Agency. .. The seismic information acquisition unit (not shown) may have the server 210 having a function as an earthquake information acquisition unit.

The shaking performance relative evaluation device 20 configured in this way has a shaking index (here, seismic intensity, maximum acceleration, maximum speed, maximum displacement) included in the payload data PD1 (see FIG. 4) transmitted from the network sensor 10. , The duration of shaking) and time information are analyzed by the server 210 as an analysis unit, the shaking performance relative evaluation of each building is performed, and the shaking performance relative evaluation result is displayed on the terminal (including personal computer and smartphone). It is displayed in 120 or written in database 230. The relative evaluation of shaking performance will be described later.

Further, 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 alive information to be acquired includes an identification code (ID), the remaining amount of the battery 160, the average acceleration (Bx, By, Bz) as information on the posture of the acceleration sensor 110, and the latitude information (GNSS) of the network sensor 10. And longitude information (GNSS) and the like can be exemplified. The acquired alive information can be displayed on the display terminal 220.

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

Top network sensor NS1a installed in building BL1, base network sensor NS1b, ground surface network sensor NS1c, top network sensor NS2a installed in building BL2, base network sensor NS2b, ground surface network sensor NS2c, and further in FIG. Passes each payload data PD1 transmitted from the top network sensor, the base network sensor, and the surface network sensor installed in many other buildings (not shown) via the receiver 30 (see FIG. 1). Obtained by the server 210.

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

Here, the processing step of the shaking performance relative evaluation 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 of the acquired payload data PD1 (see FIG. 4) (step SP21), and evaluates the shaking performance relative based on the acquired shaking index (maximum speed). (Including ranking) is performed (step SP22). When performing a relative evaluation of shaking performance, seismic information such as the epicenter from the Japan Meteorological Agency is acquired.

Here, as the relative evaluation of shaking performance, (a) the comprehensive evaluation of the land and the building around the building (sometimes referred to as "comprehensive evaluation of land + building"), (b) the building's Relative evaluation of shaking performance of surrounding land (sometimes referred to as "evaluation of land"), (c) Relative evaluation of shaking performance of buildings (sometimes referred to as "evaluation of building") do. In this specification, when these (a), (b) and (c) are collectively described, they are referred to as "sway performance relative evaluation".

Then, after performing "comprehensive evaluation of land + building", "evaluation of land", and "evaluation of building", each shaking performance relative evaluation result (including ranking) is displayed on the display terminal 220 (step SP23). ), And accumulated in the database 230 (step SP24). After that, an annual comprehensive evaluation and a secular variation evaluation based on the shaking performance relative evaluation result (including ranking) are performed (step SP25), and these evaluation results (annual comprehensive evaluation result and secular variation 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 the relative evaluation of shaking performance will be described. Here, the case where the maximum speed is used as the shaking index will be described. The server 210 is based on the shaking index (maximum speed) included in the payload data PD1 transmitted from each network sensor 10 installed in each building and the information on the earthquake (earthquake information such as the epicenter) obtained from the Japan Meteorological Agency. Then, the average sway tendency line in each building is obtained, and the sway of each building is obtained from the average sway tendency line in each building and the sway index (maximum speed) obtained corresponding to 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. In general, it is known that the magnitude of the shaking of an earthquake is attenuated and becomes smaller as the distance from the epicenter increases. The fact that the shaking becomes smaller according to the distance from the epicenter is called "distance attenuation".

Therefore, by normalizing the shaking index (maximum speed) by the distance from the epicenter, it is possible to relatively compare the shaking index (maximum speed) of the building with the shaking index (maximum speed) of other buildings. .. Specifically, for each building in multiple buildings subject to relative evaluation of shaking performance, the average of the relationship between the shaking index (maximum speed) required for each building and the distance from the epicenter of each building, That is, a predetermined distance attenuation formula that gradually attenuates according to the distance from the epicenter is obtained, and an average shaking tendency line in all the buildings is obtained. In addition, "all buildings" refers to each building (buildings BL1, BL2, ...) In a plurality of buildings to be evaluated relative to the shaking performance. Hereinafter, the average swaying tendency line in all buildings may be abbreviated as "average swaying tendency line" in the abbreviation "in all buildings". Here, the "average swaying tendency 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 sway trend line" indicates that the sway index (maximum velocity) tends to be as large as this on average as the distance from the epicenter increases. It is a thing. Therefore, if the shaking index (maximum speed) obtained for each building is higher than the value existing on the "average shaking tendency line", the building has relatively large shaking (easy to shake). ), And if the sway index (maximum speed) is lower than the value existing on the "average sway trend line", the building is said to have relatively small sway (difficult to sway). You can see that.

However, the "evaluation of a building" is evaluated by the magnification of the shaking index of the top of the building (the shaking index ratio) with respect to the shaking index of the base of a certain building, and evaluates the performance of the building itself. Therefore, since the "average swaying tendency line" does not depend on the distance from the epicenter, it is 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 sway index acquired from the payload data is the maximum speed. That is, it is a ratio (Vtop / Vbottom) of the shaking index (maximum velocity Vtop) at the top of the building and the shaking index (maximum velocity Vbottom) at the base of the building.

8, 9, and 10 are diagrams illustrating an example of the relative evaluation of shaking performance. FIG. 8 is a diagram for explaining "comprehensive evaluation of land + building", FIG. 9 is a diagram for explaining "evaluation of land", and FIG. 10 is a diagram for explaining "evaluation of building". It is a figure. In the "comprehensive evaluation of land + building" in FIG. 8, the "average swaying tendency line" is represented by the straight line L1, so that it is set as the "average swaying tendency line L1" and the "land" in FIG. In the "evaluation of the average", the "average swaying tendency line" is represented by the straight line L2, so the "average swaying tendency line L2" is used, and in the "comprehensive evaluation of the building" in FIG. Since the "swaying tendency line" is represented by the straight line L3, it will be described as the "average shaking tendency line L3".

Further, FIGS. 8 (a) and 9 (a) of FIGS. 8 (a), 9 (a) and 10 (a) show the shaking index (maximum speed) obtained in each building and "average". It is a figure for demonstrating the relationship with "the tendency line L1 and L2 of a swaying motion", and FIG. It is a figure for demonstrating the relationship with "L3". In addition, in FIG. 8A, FIG. 9A, and FIG. 10A, the white circles represent the data corresponding to each building. On the other hand, FIGS. 8 (b), 9 (b) and 10 (b) are obtained by performing a relative evaluation of shaking performance based on FIGS. 8 (a), 9 (a) and 10 (a). It is a figure which shows an example of the shaking performance relative evaluation result (ranking).

FIG. 11 is a diagram for explaining acquisition of a shaking index (for example, maximum speed) when performing “comprehensive evaluation of land + building”, “evaluation of land”, and “evaluation of building”. Although building BL1 is exemplified in FIG. 11, the same applies to other buildings BL2, ....

When performing "comprehensive evaluation of land + building", each building included in each payload data transmitted from the top network sensors NS1a, NS2a, ... Installed at the top of each building When the corresponding shaking index is the "top shaking index" corresponding to each building, the maximum speed Vtop in each building is acquired as the "top shaking index", and the acquired maximum speed Vtop of each building is "land +". It is used as a shaking index when performing "comprehensive evaluation of buildings".

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

In addition, when performing "evaluation of the building", that is, evaluation of the building itself, it is included in each payload data transmitted from the top network sensors NS1a, NS2a, ... Installed at the top of each building. The sway index corresponding to each building is referred to as the "top sway index" corresponding to each building, and each of the base network sensors NS1b, NS2b, ... When the shaking index corresponding to each building included in the payload data is used 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 obtained as the base shaking index. ..

Then, the ratio (sway index ratio) between the acquired top sway index (maximum speed Vtop) and the base sway index (maximum speed Vbottom) is obtained for each building, and the sway index ratio corresponding to each obtained building is obtained. Use to perform "relative evaluation of building shaking performance". As described above, the "sway index ratio" is the maximum speed ratio (Vtop / Vbottom).

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

On the other hand, as described above, the "evaluation of the building" is evaluated by the magnification of the shaking index of the top of the building with respect to the shaking index of the base of the building, and evaluates the performance of the building itself. It does not depend on the distance from the epicenter. Therefore, as shown in FIG. 10A, the “average swaying tendency line L3” is constant regardless of the distance from the epicenter.

Returning to Fig. 8, Fig. 9 and Fig. 10, "Comprehensive evaluation of land and building (comprehensive sway performance of land and building around the building)", "Evaluation of land (sway performance of land around the building)" An example of "Relative evaluation)" and "Building evaluation (building shaking performance relative evaluation)" will be described.

[Comprehensive evaluation of land + building (comprehensive evaluation of shaking performance of land and building around the building)]
“Comprehensive evaluation of land + building” will be described with reference to FIGS. 8 (a) and 8 (b). In FIG. 8, only 9 white circles (number of buildings) are shown, but the number of all buildings subject to the relative evaluation of the shaking performance ratio is actually a number. It is assumed that there are ten or several hundred buildings. This also applies to FIG. 9 for explaining “land evaluation” and FIG. 10 for explaining “building evaluation”, which will be described later.

Focusing on the building BL1 in FIG. 8A, in the building BL1, the shaking index (maximum speed) in the building BL1 is lower than the “average shaking tendency line L1”, but is “average”. The degree of divergence (degree of divergence on the side of resistance to sway) with respect to "the tendency line L1 of swaying" 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.

Focusing on the building BL2, in the building BL2, the shaking index (maximum speed) in the building BL2 is considerably higher than the "average shaking tendency line L1", and the "average shaking tendency". The degree of deviation from the line L1 (the degree of deviation on the easiness of shaking side) is large. From this, it can be said that the shaking performance of the building BL2 (land + building BL2) is more likely to shake than the average shaking performance.

In this way, how much the sway index (maximum speed) obtained from each building deviates from the "average sway tendency line L1" to the sway-prone side or the sway-difficult side (difference). The degree) can be obtained, and the easiness of shaking of the building can be known from the obtained degree of deviation. Then, the degree of deviation obtained can be expressed as a deviation value based on the "average swaying tendency line L1". For example, if the "average swaying tendency line L1" is set to "deviation value 50" and the degree of divergence is large on the swaying easiness side, it is liable to sway, so "for example, deviation value 30", and the degree of divergence is on the swaying resistance side. If it is large, it is difficult to shake, so it can be expressed as "for example, a deviation value of 70".

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

[Evaluation of land (relative evaluation of shaking performance of land around the building)]
“Evaluation of land” will be described with reference to FIGS. 9 (a) and 9 (b). Again, focusing on the land around the building BL1, in the land around the building BL1, the maximum speed in 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 tendency line L2 of the above, the degree of deviation from the "average tendency line L2 of shaking" (the degree of deviation on the side of resistance to shaking) is very small. From this, it can be said that the land around the building BL1 is close to the average shaking performance.

Focusing on the land around the building BL2, in 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 tendency line L2". It is a high value, and the degree of deviation from the "average tendency line L2 of shaking" (degree of deviation on the easiness of shaking side) is large. From this, it can be said that the land around the building BL2 is more likely to shake than the average shaking performance.

In this way, it is possible to determine how much the sway index (maximum speed) obtained from the land around each building deviates from the "average sway tendency line L2" (degree of dissociation). It is possible to know the easiness of shaking of the land around the building from the required degree of dissociation. Then, the degree of deviation obtained can be expressed as a deviation value based on the "average swaying tendency line L2". For example, if the "average swaying tendency line L2" is set to "deviation value 50" and the degree of divergence is large on the swaying easiness side, it is liable to sway, so "for example, deviation value 30", and the degree of divergence is on the swaying resistance side. If it is large, it is difficult to shake, so it can be expressed as "for example, a deviation value of 70".

By obtaining the deviation value of the maximum velocity in the land around each building, the land can be evaluated (ranked) as shown in FIG. 9 (b). For example, it can be seen that the evaluation result of the land in the building BL1 belongs to a group almost in the middle among all the buildings in terms of the ranking of the resistance to shaking. The horizontal axis in FIG. 9B represents the difficulty of shaking (easiness of shaking), and the vertical axis represents the frequency (the number of all buildings).

[Building evaluation (relative evaluation of building shaking performance)]
“Evaluation of the building” will be described with reference to FIGS. 10 (a) and 10 (b). Again, focusing on the building BL1, in the building BL1, the maximum velocity ratio (Vtop / Vbottom) in the building BL1 is lower than the "average swaying tendency line L3", but is "average". The degree of divergence from the swaying tendency line L3 (the degree of swaying resistance side divergence) is very small. From this, it can be said that the shaking performance of the building BL1 is close to the average shaking performance.

Focusing on the building BL2, in the building BL2, the maximum velocity ratio (Vtop / Vbottom) in the building BL2 is considerably higher than the "average swaying tendency line L3", and is "average". The degree of divergence from the swaying tendency line L3 (the degree of divergence on the easiness of shaking side) is large. From this, it can be said that the shaking performance of the building BL2 is more likely to shake than the average shaking performance.

Then, how much the maximum velocity ratio (Vtop / Vbottom) in each building deviates from the "average swaying tendency line L3" (degree of divergence) is determined by "average swaying tendency line L3". Can be expressed as a deviation value based on. For example, if the "average swaying tendency line L3" is set to "deviation value 50" and the degree of divergence is large on the swaying easiness side, it is liable to sway, so "for example, deviation value 30", and the degree of divergence is on the swaying resistance side. If it is large, it is difficult to shake, so it can be expressed as "for example, a deviation value of 70".

By obtaining the deviation value of the maximum velocity ratio (Vtop / Vbottom) in each building, the building can be evaluated (ranked) as shown in FIG. 10 (b). For example, it can be seen that the evaluation result of the building in the building BL1 belongs to a group almost in the middle among all the buildings in terms of the ranking of the resistance to shaking. In addition, the horizontal axis in FIG. 10B represents the difficulty of shaking (easiness of shaking), and the vertical axis represents the frequency (the number of all buildings).

As described 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. The shaking performance can be evaluated based on the data, and the resulting relative evaluation of the shaking performance (for example, FIGS. 8 (b), 9 (b), and 10 (b)) can be obtained. Such a shaking performance relative evaluation result can be displayed on the display terminal 220 and can be stored in the database 230.

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

The contents stored in the database 230 can be appropriately displayed on the display terminal 220. As a result, the manager who manages all the buildings to be evaluated relative to the shaking performance can grasp the shaking performance of each building and the land around 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.

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

By the way, in 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) during the period when the information regarding the earthquake from the Japan Meteorological Agency is not received. It is preferable not to analyze the index). For example, when construction work with large vibration is performed near a certain building, the vibration waveform due to the shaking different from the earthquake is acquired, and the payload data PD1 as shown in FIG. 4 is created and the payload data. PD1 may be transmitted. In such a case, during the period when the information about the earthquake is not received from the Japan Meteorological Agency, the shaking index included in the payload data PD1 is not the shaking index due to the earthquake on the server 210 side of the shaking performance relative evaluation device 20. It can be determined that the analysis process is not performed.

On the other hand, if the network sensor 10 also receives the information about the earthquake from the Japan Meteorological Agency, even if the preliminary tremors are detected during the period when the information about the earthquake from the Japan Meteorological Agency is not received, the figure shows. It is also possible not to create the payload data PD1 as shown in 4. It is also possible not to transmit the payload data even if the payload data PD1 as shown in FIG. 4 is created during the period when the information about the earthquake is not received from the Japan Meteorological Agency. Is. As a result, incorrect payload data may be created or incorrect payload may be created even if shaking is different from that of an earthquake, such as when shaking occurs near a building due to construction work that involves large vibrations. It is possible to prevent data from being transmitted.

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 predetermined time intervals (for example, every 6 hours). Data APD (see, for example, FIG. 6) is also transmitted. The shaking performance relative evaluation device 20 can display the alive information (see FIG. 6) included in the alive payload data APD on the display terminal 220 even when the alive payload data APD is received. As a result, the administrator who manages the entire building can know the current state of each network sensor displayed on the display terminal (current battery level of each network sensor 10, posture of the network sensor 10, etc.). can.

In the alive payload data APD shown in FIG. 6, latitude information and longitude information are also included as alive information, but the latitude information and longitude information do not change unless the installation position of each network sensor 10 is moved. , It can be said that it is not necessary to transmit the latitude information and the longitude information each time.

[Embodiment 2]
In the shaking performance relative evaluation system 1 according to the above-described first embodiment, the shaking information included in the payload data transmitted by the network sensor 10 includes shaking indexes (seismic intensity, maximum acceleration, maximum speed) representing the characteristics of the vibration waveform due to 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 having a predetermined sampling period, performs A / D conversion, and is represented by a predetermined number of bits (16 bits) for each clock signal. Vibration waveform component information is created, and the characteristics of the vibration waveform are extracted from the vibration waveform component information to obtain a vibration index representing the characteristics of the vibration waveform. Then, a payload data PD1 (payload data PD1 having a data amount of 128 bits or less) including a shaking index (seismic intensity, maximum acceleration, maximum speed, maximum displacement, shaking duration, etc.) representing the characteristics of the vibration waveform is created. , The payload data PD1 is transmitted from the transmission unit 150.

On the other hand, in the vibration performance relative evaluation system 2 according to the second embodiment, the data in the stage before creating the vibration index representing the characteristics of the vibration waveform, that is, with a predetermined number of bits (16 bits) for each clock signal. The payload data including the represented vibration waveform component information as vibration information is transmitted from the transmission unit 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 synchronizes the seismic waveform with a clock signal having a predetermined sampling period (1 KHz) and performs A / D conversion. , The vibration waveform component information represented by 16 bits for each clock signal is created, and the payload data (referred to as payload data PD2) including the vibration waveform component information represented by 16 bits for each clock signal is created. .. Then, the transmission unit 150 of the network sensor 10 transmits the payload data PD2 including the vibration waveform component information represented by the number of 16 bits for each clock signal.

FIG. 12 is a diagram schematically showing the shaking performance relative 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 shaking performance relative evaluation system 2 according to the second embodiment, FIG. 2 used in the description of the shaking performance relative evaluation system 1 according to the first embodiment can be used. Further, FIGS. 3 and 5 can be used for the operation of the network sensor 10. Therefore, when the configuration and operation of the network sensor 10 of the shaking performance relative evaluation system 2 according to the second embodiment are described, FIGS. 2, 3 and 5 are used as necessary.

The processes from steps SP1 to SP10 in the flowchart shown in FIG. 5 are basically the same as the processes described in the shaking performance relative evaluation system 1 according to the first embodiment, but the shaking performance relative according to the second embodiment. In the evaluation system 2, the payload data creation (step SP11) is different from the shaking performance relative evaluation system 1 according to the first embodiment.

That is, the processing of step SP11 in the shaking performance relative evaluation system 1 according to the first embodiment is "sway index representing the characteristics of the vibration waveform (seismic intensity, maximum acceleration, maximum speed, maximum displacement, shaking duration, etc.)" as the shaking information. It was a process of creating the payload data PD1 (see FIG. 4) including "," but in the vibration performance relative evaluation system 2 according to the second embodiment, "16 bits are represented for each clock signal" as vibration information. This is a process for creating the payload data PD2 including the “vibration waveform component information”.

Then, the payload data PD2 including the vibration waveform component information represented by 16 bits for each clock signal is transmitted from the transmission unit 150 (step SP12), and the power supply of the payload data creation unit 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 about earthquake occurrence time t0 is 48 bits, counter 244 count value (CNT = N1) is 16 bits, shaking information (vibration waveform). The component information (Ax, Ay, Az)) has a total data amount of 16 bits × 3 × N1 (18 + N1 × 2 × 3) bytes.

The status information is composed of Quantity (4 bits) and BAT information (4 bits) indicating the remaining battery level in 16 stages. In addition, the information regarding the earthquake occurrence time t0 has year (Year), month (Month), day (Day), hour (Hour), minute (Min), and millisecond (msec), and is a total of 48 bits of information. It is represented.

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

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

As described above, in the shaking performance relative evaluation system 2 according to the second embodiment, the payload data PD2 (see FIG. 13) transmitted from the network sensor 10 on the server 210 side of the shaking performance relative evaluation device 20 is included. A process of creating a vibration index (seismic intensity, maximum acceleration, maximum speed, maximum displacement, duration of vibration, etc.) is performed from the vibration waveform component information (Ax, Ay, Az).

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

In the shaking performance relative evaluation system 2 according to the second embodiment, as in the shaking performance relative evaluation system 1 according to the first embodiment, the manager who manages all the buildings subject to the shaking performance relative evaluation is accumulated in the database 230. Based on the data related to the relative evaluation of the shaking performance, the shaking performance of all the buildings to be evaluated relative to the shaking performance can be grasped, and the shaking performance of each building can be relatively evaluated.

Further, 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, from each network sensor 10, for example, the alive payload data APD as shown in FIG. 6 ( It has a function of transmitting (see FIG. 6) at predetermined time intervals (for example, every 6 hours). As a result, the administrator who manages the entire building knows the current state of NS of each network sensor displayed on the display terminal (current remaining battery level of each network sensor 10, posture of the network sensor 10, etc.). be able to.

The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the gist of the present invention. For example, the following modifications can be performed.

(1) In each of the above embodiments, each network sensor 10 exemplifies a case where a battery 160 is used as a power source as a power supply source, but the power source is not limited to the battery, and is not limited to, for example, 100 volts. AC power supply may be used. Further, the power supply may be a power supply including a conversion circuit that converts the AC current from the external AC power supply into a DC current having a voltage suitable for each part of the network sensor.

(2) In each of the above embodiments, the case where the GNSS receiver 120 is provided in each network sensor 10 is illustrated, but it is not essential to provide the GNSS receiver 120 in each network sensor 10.

(3) In each of the above embodiments, the case where the initial tremor detection unit 130 having the configuration as shown in FIG. 2 detects the initial tremor of the earthquake and operates the network sensor 10 is exemplified, but the initial tremor detection unit is not always used. For example, the vibration waveform output from the acceleration sensor 110 is continuously input to each network sensor 10, and the vibration waveform input to the network sensor 10 is continuously input by the A / D converter 141. A / D conversion may be performed, or the A / D converter 141 determines that the vibration waveform has reached the predetermined level TH or higher, and the vibration waveform after the vibration waveform has reached the predetermined level TH or higher is A. It may be converted to / D.

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

(5) In each of the above embodiments, the case where the maximum speed among the seismic intensity, the maximum acceleration, the maximum speed, the maximum displacement, and the duration of the shaking is adopted as the shaking index is exemplified, but the shaking index other than the maximum speed is used. (Seismic intensity, maximum acceleration, maximum displacement, duration of shaking, etc.) may be adopted. It is also possible to employ multiple sway indicators such as seismic intensity, maximum acceleration, maximum velocity, maximum displacement, and sway duration. In this case, the degree of deviation of each of the adopted shaking indexes with respect to the "average shaking tendency line" was calculated, and the degree of deviation of each obtained index was calculated and calculated as the deviation value. It is also possible to weight and average the deviation values and perform the shaking performance relativity evaluation based on the result of weighting and averaging the deviation values. Further, as the shaking index, not only the above-mentioned indexes such as maximum velocity, seismic intensity, maximum acceleration, maximum displacement, and shaking duration, but also, for example, SI (Spectral Intensity) value, damping constant, vibration cycle, and spectral information are used. It can also be used.

(6) In each of the above embodiments, the 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, but the network sensors are not necessarily installed at three locations. It is not limited to this, and may be one of these three locations.

(7) In the above embodiment, as shown in FIG. 1, the receiving unit 30 exemplifies a communication base station or the like installed outdoors, but the receiving unit 30 exists in a building in which the server 210 is installed. You may be doing it. In addition, even if it is installed outdoors, if there are buildings that are subject to the relative evaluation of shaking performance over a wide area, there are multiple receivers (communication) installed in each area. It may be a base station).

(8) In the above embodiment, the data accumulated in the database 230 is not only the shaking performance relative evaluation result but also the shaking index for each building obtained in each building, for example, seismic intensity, maximum acceleration (gal), maximum speed. (Cm / sec), maximum displacement (cm), duration of shaking (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 indexes can be displayed on the display terminal 120 at any time. As a result, the manager who manages all the buildings subject to the relative evaluation of shaking performance can determine the shaking performance of each building and the land around each building for each individual building based on the shaking index accumulated in the database 230. Can be grasped.

(9) In the above embodiment, the network sensor 10 is used as the network sensor of the shaking performance relative evaluation systems 1 and 2 of the first and second embodiments, but the present invention is not limited thereto. The network sensor of the present invention can be used for various purposes. For example, it differs from the shaking performance relative evaluation system of the present invention, such as evaluation of shaking performance of individual buildings and analysis of earthquakes (analysis of seismic intensity of earthquakes, analysis of frequency of occurrence of earthquakes, analysis of vibration waveforms of earthquakes). It can also be used for the purpose of use.

1,2 ... Shake performance relative evaluation system, 10 (NS1, NS2, ...) ... Network sensor, 20 ... Shake performance relative evaluation device, 30 ... Receiver, 40 ... GNSS satellite , 110 ... acceleration sensor, 120 ... GNSS receiver, 130 ... initial fine movement detection unit, 140 ... payload data creation unit, 150 ... transmitter unit, 160 ... battery, 170 ... -Interrupt signal generation unit, 210 ... server (analysis unit), 220 ... display terminal, 230 ... database (storage unit), BL1, BL2, ... buildings (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 ...・ ・ Pavel data, APD ・ ・ ・ Alive payload data

Claims (32)

An acceleration sensor, a payload data creation unit that creates payload data including vibration information based on the 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 installed at a predetermined position of each building in a plurality of buildings to be evaluated relative to the shaking performance, which has a power supply as a power supply source to the data creation unit and the transmission unit, and
A shake having an analysis unit that receives the payload data transmitted from each of the network sensors via a receiving unit, analyzes the shake information included in the payload data, and performs a relative evaluation of the shake performance of each building. Performance relative evaluation device and
A sway performance relative evaluation system characterized by being equipped with. In the shaking performance relative evaluation system according to claim 1,
Each network sensor further has an preliminary tremors detection unit that detects preliminary tremors when an earthquake occurs from the vibration waveform output by the acceleration sensor.
The payload data creation unit is a vibration performance relative evaluation system, characterized in that the initial tremor detection unit creates payload data including vibration information based on the vibration waveform after the initial tremor detection unit detects the initial tremor. In the shaking performance relative evaluation system according to claim 2,
When the preliminary tremors detection unit detects the preliminary tremors when the earthquake occurs, it supplies electric power from the power source to the payload data creation unit to activate the payload data creation unit. Relative evaluation system. In the shaking performance relative evaluation system according to any one of claims 1 to 3,
Each network sensor further comprises a GNSS receiver that receives GNSS signals from GNSS satellites.
The payload data creation unit is a shake performance relative evaluation system characterized in that it creates payload data including time information obtained from the GNSS receiver in addition to the shake information. In the shaking performance relative evaluation system according to any one of claims 1 to 4.
A shaking performance relative evaluation system, wherein the receiving unit is installed between each network sensor and the shaking performance relative evaluation device, or in the shaking performance relative evaluation device. In the shaking performance relative evaluation system according to any one of claims 1 to 5,
Each of the network sensors is a shaking performance relative evaluation system, characterized in that each of the buildings is installed at at least one of the top of the building, the base of the building, and the land around the building. In the building shaking performance evaluation system according to claim 6,
LPWA (Low Power Wide Area-network) is used as a communication means between the transmitting unit and the receiving unit.
The payload data creation unit can be used as the shaking information.
The vibration waveform is A / D converted in synchronization with a clock signal having a predetermined sampling period to obtain vibration waveform component information represented by a predetermined number of bits for each clock signal, and the vibration is obtained from the vibration waveform component information. It has a function to extract the characteristics of the waveform, obtain the vibration index representing the characteristics of the vibration waveform, and create the payload data including the vibration index.
The analysis unit is a shaking performance relative evaluation system characterized by having a function of analyzing the shaking index included in the payload data and performing a shaking performance relative evaluation of each building. In the shaking performance evaluation system according to claim 6,
A telephone line or the Internet is used as a means of communication between the transmitting unit and the receiving unit.
The payload data creation unit can be used as the shaking information.
The vibration waveform is A / D converted in synchronization with a clock signal having a predetermined sampling period to obtain vibration waveform component information represented by a predetermined number of bits for each clock signal, and the vibration waveform component information is included. It has a function to create payload data and has a function.
The analysis unit extracts the characteristics of the vibration waveform from the vibration waveform component information included in the payload data, obtains a vibration index representing the characteristics of the vibration waveform, analyzes the vibration index, and analyzes each of the above. A shaking performance relative evaluation system characterized by having a function to perform a building shaking performance relative evaluation. In the shaking performance relative evaluation system according to claim 7 or 8.
The shaking performance relative evaluation system, characterized in that 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 7 to 9,
The shaking performance relative evaluation device further has an earthquake information acquisition unit that acquires information about an earthquake from the Japan Meteorological Agency, and when the analysis unit performs the shaking performance relative evaluation, it relates to an earthquake including an earthquake source emitted from the Japan Meteorological Agency. Shake performance relative evaluation system characterized by using information. In the shaking performance relative evaluation system according to claim 10,
The analysis unit is a sway performance relative evaluation system characterized in that the sway performance relative evaluation is not performed during the period when the information regarding the earthquake from the Japan Meteorological Agency is not received. In the shaking performance relative evaluation system according to claim 10 or 11.
Based on the shaking index and the information about the earthquake, the analysis unit obtains the "average shaking tendency line" in the plurality of buildings, and the "average shaking tendency line" and each of the buildings. A shaking performance relative evaluation system, characterized in that the shaking performance relative evaluation is performed from the shaking index obtained in response to the above. In the shaking performance relative evaluation system according to claim 12,
For the relative evaluation of shaking performance,
Includes at least one of "Comprehensive Relative Evaluation of Land and Building Around Building", "Relative Evaluation of Land Around Building" and "Relative Evaluation of Building Shake Performance". Shake performance relative evaluation system featuring. In the shaking performance relative evaluation system according to claim 13,
When performing the above-mentioned "Comprehensive evaluation of the shaking performance of the land around the building and 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 sway index" corresponding to each building, the "average sway tendency line" in the plurality of buildings according to the distance from the epicenter included in the information about the earthquake is obtained, and the "average" is obtained. Relative sway performance evaluation, which is characterized by performing the "comprehensive sway performance relative evaluation of the land around the building and the building" from the "sway tendency line" and the "top sway index" corresponding to each building. system. In the shaking performance relative evaluation system according to claim 13,
When performing the above-mentioned "relative evaluation of the shaking performance of the land around the building",
The sway index corresponding to the land around each building, which includes the payload data transmitted from each network sensor installed on the land around each building, is the "land" corresponding to the land around each building. When it is set as "shaking index"
Based on the "land sway index" corresponding to the land around each building, the "average sway tendency line" in the plurality of buildings according to the distance from the epicenter included in the information on the earthquake is obtained. , The sway characterized by performing the "relative evaluation of the sway performance of the land around the building" from the "average sway tendency line" and the "land sway index" corresponding to the land around the building. Performance relative evaluation system. In the shaking performance relative evaluation system according to claim 13,
When performing the above-mentioned "relative evaluation of shaking performance of a building",
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 referred to as the "top shaking index" corresponding to each building, and the base of each building. When the shaking index corresponding to each building included in the payload data transmitted from the network sensor installed in is used 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 calculated as the "sway index ratio" in each building, and is based on the "sway index ratio" in each building. The "average shaking tendency line" of the plurality of buildings is obtained, and the "relative evaluation of the shaking performance of the building" is obtained from the "average shaking tendency line" and the "shaking index ratio" of each building. A sway performance relative evaluation system characterized by performing. In the shaking performance relative evaluation system according to any one of claims 12 to 16.
When the analysis unit performs the sway performance relative evaluation, a deviation value based on the degree of deviation from the "average sway tendency line" is obtained for each building, and the deviation value is used to obtain the deviation value. A relative evaluation system for shaking performance, which is characterized by performing relative evaluation of shaking performance. In the shaking performance relative evaluation system according to any one of claims 12 to 17,
In the shaking performance relative evaluation performed by the analysis unit, the shaking performance relative evaluation of each building among the plurality of buildings is ranked based on the shaking performance relative evaluation performed corresponding to each building. Shake performance relative evaluation system characterized by including processing to perform. In the shaking performance relative evaluation system according to any one of claims 1 to 18.
The shaking performance relative evaluation device further has a storage unit for accumulating the shaking performance relative evaluation analyzed by the analysis unit.
The analysis unit is a vibration performance relative evaluation system characterized in that the secular variation of each building is obtained by using the vibration performance relative evaluation accumulated in the storage unit. In the shaking performance relative evaluation system according to any one of claims 1 to 19.
Each network sensor further has an interrupt signal generation unit that generates an interrupt signal for creating alive information indicating the current state of each network sensor.
The interrupt signal generation unit is a vibration performance relative evaluation system characterized in that the interrupt signal is given to the payload data creation unit at predetermined time intervals. In the shaking performance relative evaluation system according to claim 20,
The payload data creation unit is a vibration performance relative evaluation system characterized in that each time an interrupt signal is given, alive information including information representing the state of the network sensor is created. In the shaking performance relative evaluation system according to claim 20 or 21,
The alive information is a vibration performance relative evaluation system characterized in that it is configured as payload data within 128 bits. Accelerometer and
A payload data creation unit that creates payload data including vibration information based on the vibration waveform output by the accelerometer, and a payload data creation unit.
A transmission unit that transmits the payload data created by the payload data creation unit, and a power source that serves as a power supply source to the payload data creation unit and the transmission unit.
A network sensor characterized by having. In the network sensor according to claim 23,
It further has an preliminary tremors detection unit that detects the preliminary tremors when an earthquake occurs from the vibration waveform output by the acceleration sensor.
The payload data creating unit is a network sensor characterized in that the preliminary tremors detecting unit creates payload data including vibration information based on the vibration waveform after the preliminary tremors are detected. In the network sensor according to claim 24,
When the preliminary tremors detection unit detects the preliminary tremors when the earthquake occurs, the network sensor is characterized by supplying electric power from the power source to the payload data creation unit and activating the payload data creation unit. .. In the network sensor according to any one of claims 23 to 25,
It also has a GNSS receiver that receives GNSS signals from GNSS satellites.
The payload data creating unit is a network sensor characterized in that it creates payload data including time information obtained from the GNSS receiver in addition to the shaking information. In the network sensor according to any one of claims 23 to 26.
The payload data creation unit can be used as the shaking information.
The vibration waveform is A / D converted in synchronization with a clock signal having a predetermined sampling period to obtain vibration waveform component information represented by a predetermined number of bits for each clock signal, and the vibration is obtained from the vibration waveform component information. A network sensor characterized in that it has a function of extracting the characteristics of a waveform, obtaining a vibration index representing the characteristics of the vibration waveform, and creating payload data including the vibration index. In the network sensor according to any one of claims 23 to 27.
It further has an interrupt signal generator that generates an interrupt signal for creating alive information indicating the current status of the network sensor.
The interrupt signal generation unit is a network sensor characterized in that the interrupt signal is given to the payload data creation unit at predetermined time intervals. In the network sensor according to claim 28.
The payload data creating unit is a network sensor characterized in that each time an interrupt signal is given, it creates alive information including information indicating the state of the network sensor. In the network sensor according to claim 28 or 29.
The network sensor is characterized in that the alive information is configured as payload data of 128 bits or less. In the network sensor according to any one of claims 23 to 30,
The network sensor is a network sensor used in the shaking performance relative evaluation system according to any one of claims 1 to 22. Accelerometer and
A payload data creation unit that creates payload data including vibration information based on the vibration waveform output by the accelerometer, and a payload data creation unit.
A transmission unit that transmits the payload data created by the payload data creation unit, and a transmission unit.
The preliminary tremors detection unit that detects the preliminary tremors when an earthquake occurs from the vibration waveform output by the accelerometer,
It has an interrupt signal generator that generates an interrupt signal at predetermined time intervals for creating alive information indicating the current status of the network sensor.
The payload data creation unit
When the preliminary tremors detection unit detects the preliminary tremors, the payload data including the preliminary tremors information is created.
A network sensor characterized in that when the interrupt signal generation unit generates an interrupt signal, the alive information is created as alive payload data.

Images