WO2013190973A1 - Dispositif et procédé de détermination d'état d'une structure - Google Patents

Dispositif et procédé de détermination d'état d'une structure Download PDF

Info

Publication number
WO2013190973A1
WO2013190973A1 PCT/JP2013/065023 JP2013065023W WO2013190973A1 WO 2013190973 A1 WO2013190973 A1 WO 2013190973A1 JP 2013065023 W JP2013065023 W JP 2013065023W WO 2013190973 A1 WO2013190973 A1 WO 2013190973A1
Authority
WO
WIPO (PCT)
Prior art keywords
vibration
waveform data
frequency band
vibration waveform
analysis
Prior art date
Application number
PCT/JP2013/065023
Other languages
English (en)
Japanese (ja)
Inventor
宗一朗 高田
茂 葛西
三上　伸弘
Original Assignee
日本電気株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 日本電気株式会社 filed Critical 日本電気株式会社
Priority to JP2014521260A priority Critical patent/JPWO2013190973A1/ja
Publication of WO2013190973A1 publication Critical patent/WO2013190973A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00—Investigating fluid-tightness of structures
    • G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
    • G01M3/24—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations
    • G01M3/243—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point using infrasonic, sonic, or ultrasonic vibrations for pipes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M7/00—Vibration-testing of structures; Shock-testing of structures

Definitions

  • the present invention relates to a structure state determination device and a structure state determination method, for example, an intrusion detection device, a water leakage detection device, a structure deterioration detection device, and a state of the structure using the structure state determination device.
  • the present invention relates to an intrusion detection method, a water leakage detection method, and a structure deterioration detection method using a determination method.
  • the glass breakage detector for the purpose of determining the presence or absence of an intruder from a window (see Patent Document 1).
  • This glass breakage detector detects the breaking action to the glass or the sash accompanying the intrusion and the opening and closing of the window.
  • the configuration of this glass breakage detector is shown in FIG.
  • the glass breakage detector includes a glass breakage detection unit 1, an open / close detection unit 2, a CPU 3, an output unit 4, a clock unit 6, and a power supply unit 7.
  • the glass breakage detection unit 1 compares the vibration sensor unit 1a that converts the vibration of the glass plate into a voltage signal, the amplification unit 1b that amplifies the voltage signal, and the amplitude of a predetermined frequency component extracted from the amplified voltage signal with a threshold value. When a destructive action is detected, the vibration analysis unit 1c outputs an alarm signal to the CPU 3.
  • the open / close detection unit 2 includes a magnet 2b attached to a vertical frame member of an opening frame of the window, and a reed switch 2a that detects opening / closing of the window by detecting magnetism of the magnet 2b. In this glass breakage detector, when an alarm signal is input to the CPU 3, the CPU 3 causes the output unit 4 to notify a breakage action alarm.
  • the magnet 2b and the reed switch 2a come close to each other and face each other, and the reed switch 2a is turned on. Since the reed switch 2a moves away from the magnet 2b when the window is opened, the reed switch 2a is turned off.
  • the problem of complication of the equipment configuration as described above is not only in the glass breakage detector as described above, but also in general judgment of the state of the structure, that is, water leakage or water pipe breakage in the water pipe system of social infrastructure business.
  • Equipment used to detect structural conditions such as detection, detection of deterioration of structures such as buildings or residences, detection of oil leaks or pipeline breaks in oil pipeline systems, and detection of gas leaks or pipeline breaks in gas pipelines Also exist in common.
  • An object of the present invention is to provide a structure state determination apparatus and a structure state determination method capable of determining the state of a structure with a simple configuration.
  • a state determination apparatus for a structure includes: Vibration detection means for detecting the vibration of the structure, and calculation means for performing calculation processing on the vibration waveform data acquired by the vibration detection means, The calculation means determines the state of the structure based on the analysis result of the attenuation waveform analysis with respect to the vibration waveform data after the time when the absolute value of the peak is maximum in the vibration waveform data, and the analysis result by the analysis means. Determination means.
  • the method for determining the state of the structure of the present invention is as follows. Including a vibration detection step for detecting the vibration of the structure, and a calculation step for performing calculation processing on the vibration waveform data acquired in the vibration detection step, In the calculation step, the vibration waveform data after the time when the absolute value of the peak is the maximum in the vibration waveform data is analyzed, and the state of the structure is determined based on the analysis result in the analysis step. And a determination step.
  • the present invention it is possible to provide a structure state determination apparatus and a structure state determination method capable of determining the state of a structure with a simple configuration.
  • FIG. 1A is a block diagram illustrating a configuration of an example (Embodiment 1) of a structure state determination apparatus according to the present invention.
  • FIG. 1B is a flowchart illustrating an example (Embodiment 1) of a structure state determination method according to the present invention.
  • FIG. 1C is a graph for explaining an example of the attenuation waveform analysis in the first embodiment.
  • FIG. 2A is a block diagram illustrating a configuration of a first modification of the state determination device according to the first embodiment.
  • FIG. 2B is a flowchart showing Modification Example 1 of the structure state determination method of the present invention.
  • FIG. 3A is a block diagram illustrating a configuration of a second modification of the state determination device according to the first embodiment.
  • FIG. 3B is a flowchart showing a second modification of the structure state determination method of the present invention.
  • FIG. 4A is a block diagram illustrating a configuration of a third modification of the state determination device according to the first embodiment.
  • FIG. 4B is a flowchart showing a third modification of the structure state determination method of the present invention.
  • FIG. 5 is a graph for explaining an example of the attenuation waveform analysis in the second embodiment of the present invention.
  • FIG. 6A is a block diagram showing the configuration of another example (Embodiment 3) of the structure state determination apparatus of the present invention.
  • FIG. 6B is a flowchart illustrating another example (third embodiment) of the structure state determination method of the present invention.
  • FIG. 6C is a graph for explaining an example of the attenuation waveform analysis in the third embodiment.
  • FIG. 6D is a flowchart showing a preferred example in the third embodiment.
  • FIG. 6E is a flowchart showing a more preferable example in the third embodiment.
  • FIG. 7: is a block diagram which shows the structure of the further another example (Embodiment 4) of the state determination apparatus of the structure of this invention.
  • FIG. 8 is a flowchart showing an example (Embodiment 5) of a structure state determination method according to the present invention.
  • FIG. 9 is a graph illustrating vibration waveform data when the sash is opened with a metal tool in the first embodiment.
  • 10A is a graph illustrating vibration waveform data at the time of unlocking in Example 1.
  • FIG. 10B is a graph illustrating vibration waveform data when the window is opened in Example 1.
  • FIG. 11 is a graph showing vibration waveform data when a water leakage phenomenon occurs in Example 2 of the present invention.
  • FIG. 12 is a graph showing vibration waveform data when a destruction phenomenon occurs in the water pipe in the second embodiment.
  • FIG. 13 is a graph showing vibration waveform data in a normal state according to the third embodiment of the present invention.
  • FIG. 14 is a graph showing vibration waveform data in a building deterioration state in Example 3.
  • FIG. 15 is a block diagram showing a configuration of the glass breakage detector described in Patent Document 1. As shown in FIG.
  • FIG. 1A shows the configuration of the structure state determination apparatus of the present embodiment.
  • FIG. 1B is a flowchart of the structure state determination method according to this embodiment.
  • the state determination apparatus 10 of the present embodiment includes a vibration detection unit 11 and a calculation unit 12 as main components.
  • the calculation means 12 includes an analysis means 121 and a determination means 122.
  • the vibration detection means 11 is, for example, a vibration sensor, detects vibration of the structure, and acquires vibration waveform data from the structure.
  • the vibration sensor is not particularly limited, and a known vibration sensor can be used. Specific examples include an acceleration sensor, a speed sensor, a displacement sensor, and the like.
  • the acceleration sensor is preferably of a piezoelectric type and has a built-in signal amplification circuit. It is preferable that the vibration detection means 11 (vibration sensor) has high sensitivity and can detect signals in a wide frequency band.
  • the vibration detection means 11 is installed in a structure, for example.
  • the installation location on the structure is not particularly limited, and is installed at an appropriate location on the structure according to the application of the state determination device 10 as described later.
  • the calculation means 12 performs calculation processing on the vibration waveform data acquired by the vibration detection means 11.
  • the computing means 12 is, for example, a central processing unit (CPU), and a microcomputer can be used.
  • the calculation unit 12 includes the analysis unit 121 and the determination unit 122.
  • the analysis unit 121 performs an attenuation waveform analysis on the vibration waveform data after the time when the absolute value of the peak is maximum in the vibration waveform data.
  • the determination unit 122 determines the state of the structure based on the analysis result by the analysis unit 121. The attenuation waveform analysis and the state determination of the structure will be described later.
  • the structure state determination method of the present embodiment performs the following steps using the structure state determination apparatus of FIG. 1A as shown in the flowchart of FIG. 1B.
  • the vibration detection means 11 detects the vibration of the structure to be detected, and acquires vibration waveform data (vibration detection step (step S110)).
  • the calculation means 12 performs calculation processing on the vibration waveform data acquired by the vibration detection means 11 (calculation step (step S120)).
  • the calculation step S120 includes an analysis step (step S121) and a determination step (step S122).
  • Attenuation waveform analysis is performed on the vibration waveform data after the time point when the absolute value of the peak is maximum in the vibration waveform data.
  • the attenuation waveform analysis will be described using vibration waveform data shown in FIG. 1C.
  • the vibration is measured by, for example, acceleration (vibration sensor output voltage), as shown in FIG. 1C
  • the absolute value of the peak of vibration (resonance vibration) generated by vibration is maximized.
  • a time point (a time point indicated by a broken line in FIG. 1C) is determined.
  • the time from the start of the excitation to the time when the absolute value of the peak of the resonance vibration is maximized is defined as an excitation time (X).
  • data processing (damping waveform analysis) is performed for vibrations after the point when the absolute value of the peak becomes maximum, that is, damped vibrations.
  • the determination step (S122) determines the state of the structure based on the analysis result in the analysis step (S121). If the excitation force does not act on the structure continuously, only the natural vibration remains in the free damped vibration.
  • the excitation force (excitation direction, amplitude, frequency, etc.) differs for each event (for example, glass breakage and unlocking), and the excited natural mode differs. Therefore, by paying attention to the natural vibration and analyzing the damped vibration, it is possible to determine the state of the structure related to each event (for example, glass breakage and unlocking) from the analysis result.
  • the present invention it is not necessary to provide a sensor for each event to be detected as in the conventional case by the damping vibration analysis, and two or more vibration detection means 11 (for example, a vibration sensor) can be used.
  • the state of the structure related to the event (for example, breakage and unlocking of the glass) can be determined, and the apparatus and process can be simplified.
  • the state of the structure can be determined by, for example, comparing the data of the damped vibration analysis result regarding each event with the data obtained by patterning the vibration waveform data of each event.
  • the state determination apparatus may further include an activation unit.
  • FIG. 2A is a block diagram illustrating a configuration of the structure state determination apparatus according to the first modification of the first embodiment including the activation unit.
  • FIG. 2B shows a flowchart of the structure state determination method according to the first modification.
  • the state determination device according to the first modification includes an activation unit 13, and the activation unit 13 is connected to the vibration detection unit 11. Except for these points, the state determination device shown in FIG. 2A has the same configuration as the state determination device 10 shown in FIG. 1A.
  • the state determination method of the modification 1 includes an activation step (S130) prior to the vibration detection step (S110). Except for this point, the state determination method shown in FIG. 2B has the same steps as the state determination method shown in FIG. 1B.
  • the starting means 13 outputs a trigger signal for starting the vibration detecting means 11. Based on this signal, the vibration detecting means 11 detects vibration.
  • the starting means 13 include an infrared detecting means, a means for detecting a vibration signal propagating to a structure, and the like.
  • the infrared detection means is, for example, an infrared sensor.
  • the infrared sensor is installed in the site of the structure, for example, detects the body temperature of an intruder who has entered the site and activates the vibration detection means 11 Outputs a trigger signal.
  • the means for detecting the vibration signal propagating to the structure include an acoustic sensor.
  • the means such as the acoustic sensor is installed in the site of the structure, for example, an intruder who has entered the site steps on gravel placed in the site.
  • a vibration signal (acoustic signal) accompanying the gravel sound generated at the time is detected, and a trigger signal for starting the vibration detection means 11 is output.
  • the structure determination apparatus and the state determination method of the modification in addition to being able to determine the state of the structure with a simple configuration, based on detection (for example, intrusion detection) by the activation unit 13,
  • detection for example, intrusion detection
  • the vibration detection means 11 By activating the vibration detection means 11, for example, the accuracy of detection can be improved, false detection can be reduced, and the vibration detection means 11 is activated only when vibration detection is necessary. It is electric power.
  • the vibration waveform data acquired by the vibration detection means 11 may be analog vibration waveform data or digital vibration waveform data, for example.
  • the state determination device of the present embodiment further includes unnecessary response removal means.
  • FIG. 3A is a block diagram illustrating a configuration of the structure state determination apparatus according to the second modification of the first embodiment including the unnecessary response removing unit.
  • FIG. 3B shows a flowchart of the structure state determination method according to the second modification.
  • the state determination device according to the second modification includes an unnecessary response removal unit 14 between the vibration detection unit 11 and the calculation unit 12. Except for this point, the state determination device shown in FIG. 3A has the same configuration as the state determination device shown in FIG. 2A.
  • the state determination method of the modification 2 includes an unnecessary response removal step (S140) between the vibration detection step (S110) and the calculation step (S120). Except for this point, the state determination method shown in FIG. 3B has the same steps as the state determination method shown in FIG. 2B.
  • Unnecessary response removal means 14 is, for example, an unnecessary response removal filter (hereinafter, simply referred to as “filter”) that removes an unnecessary response from the analog vibration waveform data.
  • the unnecessary response removing unit 14 only needs to remove the unnecessary response.
  • a low-pass filter, a high-pass filter, a band-pass filter, or the like can be used, and can be appropriately selected according to the purpose.
  • the pass frequency band of the unnecessary response removing unit 14 is not particularly limited, and is, for example, 10 Hz to 3 kHz.
  • the sampling frequency in analog-digital conversion described later can be reduced.
  • a low-cost analog-digital converter analog-digital conversion means
  • power consumption can be reduced.
  • FIG. 4A is a block diagram showing the structure of the structure state determination apparatus according to the third modification of the first embodiment including the analog-digital conversion means.
  • FIG. 4B shows a flowchart of the structure state determination method according to the third modification.
  • the state determination device of Modification 3 includes an analog-digital conversion unit 15 between the unnecessary response removal unit 14 and the calculation unit 12 in the state determination device of Modification 2. Except for this point, the state determination device shown in FIG. 4A has the same configuration as the state determination device shown in FIG. 3A.
  • the state determination method of Modification 3 includes an analog-digital conversion step (S150) between the unnecessary response removal step (S140) and the calculation step (S120) in the state determination method of Modification 2. Except for this point, the state determination method shown in FIG. 4B has the same steps as the state determination method shown in FIG. 3B.
  • the analog-digital conversion means 15 is, for example, an analog-digital converter (A / D converter) that converts the analog vibration waveform data into digital vibration waveform data.
  • a / D converter is only required to convert the analog vibration waveform data into digital vibration waveform data, and for example, a known one can be used.
  • the state determination device of the present embodiment may further include a storage unit (memory), for example.
  • the storage means stores, for example, data such as the vibration waveform data of the analog vibration waveform data and the digital vibration waveform data, and the attenuation waveform analysis result.
  • the storage means is not particularly limited, and known ones can be used. Specifically, for example, random access memory (RAM), read-only memory (ROM), hard disk (HD), optical disk, floppy (registered trademark) For example, a disk (FD) is used.
  • RAM random access memory
  • ROM read-only memory
  • HD hard disk
  • optical disk floppy
  • FD floppy
  • the storage means is an arbitrary component and may not be included, but is preferably included.
  • the state determination device of the present embodiment may further include a display for displaying the state determination result of the structure by the determination unit, for example.
  • the display device is not particularly limited, and a known one can be used. Specifically, for example, a speaker that outputs sound, a monitor that outputs images (for example, a liquid crystal display (LCD), a cathode ray tube (CRT) display, etc.) And various other types of image display devices) and printers that output by printing.
  • the indicator is an optional component and may not be included, but is preferably included.
  • the structure state determination device and the structure state determination method of the present embodiment can be applied to, for example, an intrusion detection device and an intrusion detection method.
  • the installation location on the structure may be, for example, a window frame, glass, door, floor surface, entrance door, fence, wall surface, gate, or the like.
  • the analysis is, for example, an analysis for detecting an intrusion into the structure from the outside, and the presence / absence of an intrusion action to the building or the like from the outside is determined as the state of the structure.
  • the determination result for example, the determination result of the destruction of the structure such as glass breakage, sash opening, the determination result of the presence / absence of unlocking, the determination result of the presence / absence of window opening, the floor of the structure It is possible to obtain a determination result of the presence or absence of an actual intrusion action on the structure such as the presence or absence of human intrusion due to vibration or the like.
  • the structure state determination device and the structure state determination method of the present embodiment can be applied to, for example, a water leakage detection device and a water leakage detection method.
  • the installation location on the structure is, for example, a water pipe such as a water intake pipe, a conduit pipe, a water distribution pipe, a water supply pipe, a manhole, a fire hydrant, a water stop valve, a pressure reducing valve A water pressure meter or the like may be used.
  • a water pipe wall surface, a flange bolt, etc. are mention
  • the analysis is, for example, an analysis for detecting an abnormality of the conduit, and determines whether there is an abnormality in the conduit as the state of the structure.
  • the determination result of the presence or absence of the leak of the said water conduit, the determination result of the presence or absence of the destruction of the said water conduit, etc. can be obtained, for example.
  • the determination result of the presence or absence of water leakage, the determination result of the presence or absence of destruction, etc. can be obtained in the same manner as the water conduit.
  • the structure state determination device and the structure state determination method of the present embodiment can be applied to, for example, a structure deterioration detection device and a structure deterioration detection method.
  • the installation location on the structure may be, for example, a wall of a building or a house, a pillar, a duct, a floor, a beam, a foundation portion, or the like.
  • the analysis is, for example, an analysis for detecting deterioration of the structure, and the presence or absence of the deterioration of the structure is determined as the state of the structure.
  • the determination result for example, a determination result of whether or not a joint portion such as a beam member of the structure is loosened, a determination result of the presence or absence of cracks in the work material constituting the structure, and the like can be obtained.
  • the attenuation waveform analysis by the analysis unit 121 is the vibration waveform data after the time when the absolute value of the peak is the maximum and after a predetermined time more than the vibration excitation time has elapsed. Done about. Except for this point, the structure state determination apparatus of the present embodiment has the same configuration as the state determination apparatus 10 shown in FIG. 1A.
  • the attenuation waveform analysis is preferably performed on vibration waveform data after a time of 0.5 times or more of the vibration excitation time from the time when the absolute value of the peak is maximum, more preferably 1 It is ⁇ 2 times, more preferably 1 to 1.2 times.
  • the attenuation waveform analysis in this embodiment will be described with reference to the vibration waveform data of FIG.
  • a time point (a time point indicated by a broken line on the left side in FIG. 5) at which the absolute value of the peak of vibration (resonant vibration) generated by vibration becomes maximum is determined.
  • the time from the start of the excitation to the time when the absolute value of the peak of the resonance vibration is maximized is defined as an excitation time (X).
  • the time is a predetermined multiple (for example, 0.5 times) of the vibration excitation time (X) (the time indicated by the broken line on the right side in FIG. 5).
  • elapsed time The elapsed time from the time when the absolute value of the peak becomes maximum to the time when the vibration excitation time (X) becomes a predetermined multiple is defined as elapsed time (Y). Then, vibration data processing (attenuation waveform analysis) after the elapsed time (Y) is performed. In this way, in the present embodiment, the attenuation waveform analysis of the vibration waveform data after the elapse of a time more than a predetermined multiple of the vibration excitation time is performed.
  • the vibration waveform data of the damped vibration has different natural vibrations for each event.
  • a phase difference or a time delay due to an external force or the like may occur. Therefore, as shown in the present embodiment, for example, by performing the attenuation waveform analysis of the vibration waveform data after a predetermined time more than the vibration excitation time, the influence of the external force can be avoided as much as possible, More accurate attenuation waveform analysis can be performed. As a result, according to the present embodiment, it is possible to improve detection accuracy and reduce erroneous detection.
  • the calculation unit may further include a frequency band limiting unit.
  • the block diagram of FIG. 6A shows the configuration of the structure state determination apparatus of the present embodiment.
  • FIG. 6B shows a flowchart of the structure state determination method in the present embodiment.
  • the calculation unit 12 includes a frequency band limiting unit 123. Except for this point, the state determination device 30 shown in FIG. 6A has the same configuration as the state determination device shown in FIG. 4A.
  • the activation unit 13 has an arbitrary configuration and may or may not be included.
  • the state determination method of the present embodiment includes a frequency band limiting step S123 prior to the analysis step S121 in the calculation step S120. Except for this point, the state determination method of the present embodiment shown in FIG. 6B has the same steps as the state determination method shown in FIG. 4B.
  • the activation step S130 is an optional step and may or may not be included.
  • the frequency band limiting unit 123 limits the vibration waveform data in a frequency band set for each event to be detected.
  • a frequency band set for each event to be detected is referred to as a monitoring frequency band.
  • the frequency band limiting unit 123 is, for example, a digital filter that limits the frequency band of the digital vibration waveform data converted by the analog-digital conversion unit 15.
  • the monitoring frequency band is, for example, in the range of 100 Hz to 3 kHz.
  • the monitoring frequency band is preferably in the range of 100 Hz to 2500 Hz.
  • the monitoring frequency band is preferably in the range of 100 Hz to 1000 Hz.
  • the event to be detected is appropriately set according to each use of the structure state determination device and the structure state determination method described in the first embodiment, for example.
  • the event to be detected is, for example, destruction of the structure such as glass breakage or sash opening, unlocking action, window An actual act of intrusion into the structure, such as an opening action or a human intrusion into the structure.
  • the state determination apparatus and the structure state determination method are used for water leakage detection, the detected event is, for example, water leakage from the water pipe, destruction of the water pipe, or the like.
  • the event to be detected is, for example, loosening of a joint portion such as a beam member of the structure, It is a crack of the construction material which comprises.
  • the structure state determination method of the present embodiment performs the following steps using the structure state determination apparatus of FIG. 6A as shown in the flowchart of FIG. 6B.
  • the start process S130 to the analog-digital conversion process S150 are performed in the same manner as in the first embodiment, for example.
  • FIG. 6C is an example in which vibration is measured by, for example, acceleration (vibration sensor output voltage).
  • FIG. 6C shows vibration waveform data when action A and action C are performed.
  • the action A for example, the unlocking action 200
  • the frequency band (monitoring frequency band A201) set for monitoring the action A is read, and the frequency band restriction is performed by the monitoring frequency band A201. Do.
  • the frequency band (monitoring frequency band C203) set for monitoring the action B is read, and the frequency band is limited by the monitoring frequency band C203. Then, the damped vibration analysis is performed on the vibration waveform data in which the frequency band is limited, and the presence or absence of the action A and the action C is determined based on the damped vibration analysis result.
  • the frequency band of the vibration waveform data in the frequency band set for the action A and the action C for example, in a detected event (event), only a frequency band in which a characteristic vibration waveform is detected is attenuated vibration analysis. Can be the target of. As a result, detection accuracy can be improved, false detection can be reduced, and analysis speed can be improved.
  • the attenuation waveform analysis by the analysis unit 121 is preferably performed in a range of at least 15 ms or more, more preferably performed in a range of at least 60 ms or more, for each vibration waveform data in which the frequency band is limited. More preferably, it is performed in the range of 100 ms or more. In this way, for example, vibrations with a frequency of 100 Hz can be measured and analyzed for 10 cycles, and detection accuracy can be improved.
  • the upper limit of the decay waveform analysis time is, for example, 500 ms.
  • the determination unit 122 sets a threshold value for each frequency band that is frequency band limited by the frequency band limiting unit 123, and determines the occurrence of a corresponding event (event) based on the threshold value. .
  • the threshold value is a threshold value for detecting the occurrence of a corresponding event (event).
  • the frequency is detected by using a frequency band in which a characteristic vibration waveform is detected in each event (event).
  • a threshold is set for the amplitude value of the vibration waveform data in the band. For example, when the threshold value of the amplitude value is exceeded, it is determined that the event has occurred. When the threshold value of the amplitude value is not exceeded, it is determined that the event has not occurred.
  • the vibration waveform associated with the unlocking action 200 has the maximum amplitude in the monitoring frequency band A201.
  • a monitoring frequency band A201 is set to detect vibration associated with unlocking, and a threshold value is provided for the amplitude value of the vibration waveform data for this frequency band, so that vibration associated with the unlocking action is performed. Can be identified.
  • the threshold value may be stored in the memory, for example.
  • the startup process S130 to the analog-digital conversion process S150 are performed in the same manner as in the first embodiment, for example.
  • the frequency band restriction means 123 performs the frequency band restriction in the same manner as in FIG. 6B (frequency band restriction step S123).
  • a damping vibration analysis is performed by the analysis means 121 on the vibration waveform data of the frequency band limited for the action A (step S121A, analysis step A).
  • the determination means 122 determines whether or not the result of the damped vibration analysis conforms to the threshold A (step S122A, determination A). If the threshold A is met (Yes), it is determined that there is an action A.
  • step S130 If the threshold value A is not met (No), the process returns to the activation step S130.
  • damping vibration analysis is performed by the analysis means 121 on the vibration waveform data of the frequency band limited for the action C (step S121C, analysis step C).
  • the determination means 122 determines whether or not the result of the damped vibration analysis conforms to the threshold value C (step S122C, determination C). If the threshold C is met (Yes), it is determined that there is an action C. If the threshold value C is not met (No), the process returns to the activation step S130.
  • the detection accuracy is further improved by providing the threshold value for each frequency band restricted by the frequency band limiting unit 123 and determining the occurrence of the corresponding event (event) with reference to the threshold value. , False detection can be reduced and analysis speed can be improved.
  • a threshold is provided for each frequency band that is frequency band limited by the frequency band limiting unit 123, and the occurrence of a specific event is determined when determining the occurrence of a corresponding event (event) with reference to the threshold. According to the determination result, the frequency band to be referred to next is determined in advance, and it is more preferable to determine with reference to the frequency band in the predetermined order.
  • the window opening act is continuously performed after the unlocking act. Therefore, in accordance with a determination result based on the threshold value for the unlocking action, for example, a determination result that there has been an unlocking action, it is determined in advance that the frequency band for the window opening action should be referred to next. . Then, with reference to each frequency band, the unlocking action is determined, and when there is an unlocking action, it is determined that there has been an intrusion action in the order of determining the window opening action.
  • the combination of actions that are performed continuously includes, in addition to the combination of the above-described unlocking action and the above-mentioned window opening action, for example, the combination of the action of prying with a bar or the like and the removal of the window frame, etc. can give.
  • each of the frequency bands is referred to, and the opening action is determined, and if there is an opening action, the window frame removing action is determined in the order of intrusion. Judge that there was an act.
  • the start process S130 to the analog-digital conversion process S150 are performed in the same manner as in the first embodiment, for example.
  • the frequency band restriction means 123 performs the frequency band restriction in the same manner as in FIG. 6B (frequency band restriction step S123).
  • a damping vibration analysis is performed by the analysis means 121 on the frequency waveform-limited vibration waveform data for the unlocking action (action A) (step S121A, analysis step A).
  • the determination means 122 determines whether or not the result of the damped vibration analysis conforms to the threshold A (step S122A, determination A).
  • step S121C If it matches the threshold A (Yes), it is determined that there has been an unlocking action, and the process proceeds to the analysis step C (step S121C). If the threshold value A is not met (No), the process returns to the activation step S130.
  • the analysis step C a damping vibration analysis is performed by the analysis unit 121 on the vibration waveform data with the frequency band limited for the window opening action (action C) (step S121C, analysis process C).
  • step S122C determination C. When the threshold value C is met (Yes), it is determined that there is a window opening action and it is determined that there is an intrusion action (step S122AC). If the threshold value C is not met (No), the process returns to the activation step S130.
  • the frequency band to be referred to next is determined in advance according to the determination result of the occurrence of the specific event.
  • the detection accuracy can be further increased. It is possible to improve, reduce false detection, and improve the analysis speed.
  • the frequency band to be referred to next is set in advance according to the determination result, and the determination is made by referring to the frequency band in this order. Also good.
  • the frequency band to be referred to next includes, for example, a frequency band obtained by limiting the vibration waveform data regarding the prying action by a bar or the like with a set frequency band. For example, when the threshold value for the prying action is met (Yes), the vibration waveform data for the window frame removal action is frequency-limited in the set frequency band, and the damped vibration analysis and Threshold judgment is performed. If the threshold value for the window frame removal action is met (Yes), it is determined that there has been an intrusion action.
  • the vibration waveform data for the stepping action is frequency-limited in a set frequency band, and the frequency band is attenuated. Perform vibration analysis and threshold judgment. If the threshold value for the stepping-in action is met (Yes), it is determined that there has been an intrusion action.
  • the frequency band limiting means 123 is a digital filter that limits the frequency band of the digital vibration waveform data, but the present invention is not limited to this example.
  • the frequency band limiting unit may be, for example, a frequency band limiting unit that limits the analog vibration waveform data. Examples of the frequency band limiting means include an analog filter.
  • a terminal installed at a location distant from the installation location of the vibration detection unit may include the calculation unit.
  • the block diagram of FIG. 7 shows the configuration of the state determination device of this embodiment.
  • the state determination device 40 of this embodiment includes a vibration detection unit 11, an unnecessary response removal unit 14, an analog-digital conversion unit 15, a terminal 41 including a calculation unit 12, and a display 42. And as a major component.
  • the analog-digital conversion means 15 and the terminal 41 are connected by wire or wireless.
  • the display device 42 is connected to the terminal 41.
  • the terminal 41 includes the arithmetic means in the first embodiment and performs the arithmetic processing described above.
  • the terminal 41 is installed at a location away from the installation location of the portion (vibration sensor unit) including the vibration detection unit 11, the unnecessary response removal unit 14 and the analog-digital conversion unit 15 in the state determination device 40.
  • Specific examples of the terminal 41 include a personal computer (PC), a server, an alarm terminal, and a smartphone.
  • the computing means may be in a server (cloud server) connected to the vibration sensor unit via a communication network, for example. In this case, the computing means and the display 42 are connected via a communication network.
  • the terminal 41 includes the calculation means, but the present invention is not limited to this example.
  • the terminal in the state determination apparatus may include, for example, the unnecessary response removing unit, the analog-digital conversion unit, the storage unit, etc. in addition to the calculation unit.
  • the vibration detection unit, the calculation unit, the unnecessary response removal unit, the analog-digital conversion unit, and the storage unit including the storage unit may be wirelessly connected even if they are connected by wire. You may connect with.
  • the calculation means can be included in a terminal installed at a location away from the installation location of the vibration detection means, it is possible to select the configuration as appropriate according to the application.
  • the state determination device includes a vibration sensor 11, an activation unit 13, a filter 14, an A / D converter 15, and a microcomputer 12.
  • the vibration sensor 11 is installed in a structure such as a window frame or glass or a door, for example.
  • the frequency band limiting means 123 includes a digital filter A having a monitoring frequency band A for detecting an unlocking sound, a digital filter C having a monitoring frequency band C for detecting a window opening, and a monitoring frequency band B for detecting a bar hitting sound. , Digital filter D having a monitoring frequency band D for detecting window frame removal sound, and digital filter E having a monitoring frequency band E for detecting footstep sounds.
  • the case where the said vibration is measured by acceleration is illustrated.
  • step S1 in the vibration measurement standby state (step S1), vibration due to glass breakage due to the intrusion act is generated, and this vibration is defined as a predetermined vibration amplitude ( If the trigger signal is exceeded (step S2), acquisition of analog vibration waveform data associated with the intrusion is started (step S3).
  • the trigger signal may be output from the activation unit 13, for example.
  • Steps S1 to S3 correspond to Step S110 described above.
  • An unnecessary response is removed by the filter 14 with respect to the analog vibration waveform data acquired by the vibration sensor 11 (step S140, unnecessary response removal step). Examples of the unnecessary response include environmental vibration.
  • the filter 14 the above-described unnecessary response removal filter can be used.
  • the analog vibration waveform data from which the unnecessary response is removed is converted into digital vibration waveform data by the A / D converter 15 (step S150, analog-digital conversion step).
  • step S123A frequency band limiting step A
  • an attenuation waveform analysis is performed on the vibration waveform data whose frequency band is limited by the digital filter A by the analysis means 121 of the microcomputer 12 (step S121A, analysis step A).
  • This damped vibration analysis is preferably performed by the analysis method described in the second embodiment, for example.
  • the determination means 122 determines whether or not the result of the damped vibration analysis conforms to the threshold A (step S122A, determination A). If the threshold A is met (Yes), it is determined that there has been an unlocking action.
  • step S4 when vibration associated with the window opening action occurs and this vibration exceeds a predetermined vibration amplitude (trigger signal) (step S4), acquisition of analog vibration waveform data associated with the window opening action is started. . Then, processing is performed in the same manner as described above, the digital filter C is read, and the digital vibration waveform data associated with the window opening action is frequency band limited by the digital filter C in the monitoring frequency band C for detecting window opening (step S123C, Frequency band limiting step C). Attenuation waveform analysis is performed on the vibration waveform data (step S121C, analysis step C). This damped vibration analysis is preferably performed by the analysis method described in the second embodiment, for example.
  • the determination means 122 determines whether or not the result of the damped vibration analysis conforms to the threshold C (step S122C, determination C). If the threshold value C is met (Yes), it is determined that there has been a window opening action. As described above, in the determination A and the determination C, when it is determined that any of the threshold values is met (AND determination), it is determined that there is an intrusion act (step S5). On the other hand, if the determination C does not match the threshold C (No), initialization is performed (step S11), and the process returns to step S1.
  • the actual intrusion mode may differ from the unlocking action.
  • the intrusion mode is a pry opening action by a bar or the like.
  • the digital filter B is read (step S6), and the prying action is monitored.
  • vibration associated with the pry opening action occurs and this vibration exceeds a predetermined vibration amplitude (trigger signal) (step S7), acquisition of analog vibration waveform data associated with the pry opening action is started.
  • step S123B frequency band limiting step B.
  • an attenuation waveform analysis is performed on the vibration waveform data whose frequency band is limited by the digital filter B by the analysis means 121 of the microcomputer 12 (step S121B, analysis step B).
  • This damped vibration analysis is preferably performed by the analysis method described in the second embodiment, for example.
  • the determination means 122 determines whether or not the result of the damped vibration analysis matches the threshold value B (step S122B, determination B). When it matches the threshold value B (Yes), it is determined that there has been a prying action.
  • step S8 when the vibration accompanying the window frame removal occurs and this vibration exceeds a predetermined vibration amplitude (trigger signal) (step S8), the acquisition of the analog vibration waveform data accompanying the window frame removal action is started. To do. Then, the processing is performed in the same manner as described above, the digital filter D is read, and the digital vibration waveform data associated with the window frame removal action is frequency band limited by the digital filter D in the monitoring frequency band D for detecting window frame removal (step). S123D, frequency band limiting step D). Attenuation waveform analysis is performed on the vibration waveform data (step S121D, analysis step D). This damped vibration analysis is preferably performed by the analysis method described in the second embodiment, for example.
  • the determination means 122 determines whether or not the result of the damped vibration analysis conforms to the threshold value D (step S122D, determination D). When it matches the threshold value D (Yes), it is determined that there has been a window frame removal act. As described above, in the determination B and the determination D, when it is determined that any of the threshold values is met (AND determination), it is determined that there is an intrusion act (step S5). On the other hand, if it is determined in decision D that the threshold D is not met (No), initialization is performed (step S11), and the process returns to step S1.
  • the actual intrusion mode may be different from the prying action.
  • the digital filter E is read (step S9), and the stepping action is monitored.
  • vibration (footstep) accompanying the stepping action occurs and this vibration exceeds a predetermined vibration amplitude (trigger signal) (step S10), acquisition of analog vibration waveform data accompanying the stepping action is started.
  • processing is performed in the same manner as described above, and the digital vibration waveform data associated with the stepping action is frequency band limited by the digital filter E in the monitoring frequency band E for detecting footsteps (step S123E, frequency band limiting step E).
  • Attenuation waveform analysis is performed on the vibration waveform data frequency band limited by the digital filter E by the analysis means 121 of the microcomputer 12 (step S121E, analysis step E).
  • This damped vibration analysis is preferably performed by the analysis method described in the second embodiment, for example.
  • the determination means 122 determines whether or not the result of the damped vibration analysis conforms to a threshold value E (step S122E, determination E). If the threshold E is met (Yes), it is determined that there is a stepping action, and it is determined that there is an intrusion action (step S5). On the other hand, if it is determined in decision E that the threshold E is not met (No), initialization is performed (step S11), and the process returns to step S1.
  • the hardware configuration of the detector can be simplified, for example, the detector is inexpensive. Can be.
  • the frequency band to be referred to next is determined in advance according to the determination result of the occurrence of the event to be detected, and the frequency band is referred to in this order for determination. Since the presence / absence of an intrusion is determined, erroneous determination can be further reduced.
  • step S5 If it is determined that an intrusion has been performed (step S5), for example, the result may be displayed on the display (not shown in FIG. 6A). Further, for example, a threatening sound may be generated from a speaker (not shown in FIG. 6A), and a security company or a user may be notified as necessary. Note that the sounding of a threatening sound from the speaker and the notification to the security company or the user can be in a known manner.
  • Calculation processing such as damping vibration analysis of the vibration waveform data and determination of the state of the structure based on the damping vibration analysis result is performed by the microcomputer 12. For this reason, for example, a terminal for performing the above-described arithmetic processing becomes unnecessary, and the hardware configuration can be further simplified.
  • Example 1 In this example, the intrusion action was determined when the crescent was unlocked and the window was opened after the sash was hit using a metal tool (driver).
  • an intrusion detection device having the following configuration was prepared.
  • the vibration sensor a piezoelectric acceleration sensor with a built-in signal amplification circuit was used.
  • the filter a band-pass filter having a pass frequency band of 100 Hz to 3 kHz was used.
  • the microcomputer an analog-digital processing bit number of 12 bits and a sampling frequency of 50 kHz were used. This filter and the microcomputer were mounted on the same substrate. This substrate and the vibration sensor were electrically connected by cable wiring. In this way, an intrusion detection device was configured.
  • the aluminum sash was used as the sash.
  • the dimensions of the sash were about 1700 mm in length: about 1700 mm in width.
  • the vibration sensor was affixed around the crescent with an adhesive, and the intrusion detection device of this example was installed.
  • the intrusion detection device assumed the intrusion action, and acquired vibration waveform data for the hitting action, the unlocking action, and the window opening action.
  • the threshold voltage for trigger circuit activation is set to 0.02 V (20 mV, equivalent to 1 m / s 2 acceleration), and vibration waveform data processing after an elapsed time (Y) that is 1.2 times the excitation time (X) from the maximum amplitude time
  • the time was 60 ms for the batting action and the unlocking action, and 15 ms for the window opening action.
  • the graph of FIG. 9 shows digital vibration waveform data of the hitting action.
  • the digital vibration waveform data is digital vibration waveform data limited in a frequency band of 100 to 2500 Hz by a digital filter (frequency band limiting means 123), and the threshold is set to a sensor output voltage of 0.02 V (20 mV).
  • the graph of FIG. 10A shows digital vibration waveform data of the unlocking action.
  • the digital vibration waveform data is digital vibration waveform data limited in a frequency band of 100 to 2500 Hz by a digital filter (frequency band limiting means 123), and the threshold is set to a sensor output voltage of 0.02 V (20 mV).
  • the graph of FIG. 10B shows digital vibration waveform data of the window opening action.
  • the digital vibration waveform data is digital vibration waveform data limited in a frequency band of 100 to 2500 Hz by a digital filter (frequency band limiting means 123), and the threshold is set to a sensor output voltage of 10 mV.
  • the broken line on the left indicates the maximum amplitude time
  • the elapsed time from the maximum amplitude time to the time of the middle broken line indicates the elapsed time (Y).
  • the time from the middle broken line time to the right broken line time indicates the vibration waveform data processing time (60 ms and 15 ms).
  • the graph ends at 35 ms, but actually, the vibration waveform data processing is performed for 60 ms from the time indicated by the middle broken line.
  • the horizontal bar in each graph shows the said threshold value (hereinafter the same).
  • the hitting action, the unlocking action and the window opening action were repeated 10 times to determine the intrusion action.
  • the determination results are shown in Table 1 below. As shown in Table 1 below, in all 10 times, the unlocking action and the window opening action could be detected and identified to make an intrusion determination (detection rate: 100%). Moreover, the same result was obtained also when the infrared sensor (starting means 13) was installed in the site and the intrusion determination was performed using the output signal as a trigger. Moreover, the same result was obtained also when the vibration sensor (starting means 13) which detects gravel sound was installed in the site, and the intrusion determination was performed using the output signal as a trigger.
  • Example 2 In this example, the determination of water pipe leakage detection and water pipe breakage detection was performed by a simulation experiment system assuming an actual water pipe.
  • the simulation experiment system was composed of a steel water pipe and a pump.
  • the water pipe having a diameter of about 5 mm and a total length of about 4 m was used.
  • a pump that is a water supply source was installed in this water pipe.
  • a plurality of holes were made in advance at a position about 1 m away from the location of the pump in the water pipe, and these holes were closed with a resin cap.
  • the said vibration sensor was adhesively fixed to the position about 2 m away from the installation location of the said pump in the said water pipe.
  • the elapsed time (Y) is not set by the water leakage detection device and the vibration waveform data processing time is set to 100 ms
  • the water leakage phenomenon and the destruction phenomenon are vibrated.
  • Waveform data was acquired.
  • the graph of FIG. 11 shows digital vibration waveform data when the water leakage phenomenon occurs.
  • the digital vibration waveform data is digital vibration waveform data limited in a frequency band of 100 to 1000 Hz by a digital filter (frequency band limiting means 123), and the threshold value is set to a sensor output voltage of 0.0005 V (0.5 mV). did.
  • the graph of FIG. 12 shows digital vibration waveform data when the destruction phenomenon occurs.
  • the digital vibration waveform data is digital vibration waveform data limited in a frequency band of 100 to 1000 Hz by a digital filter (frequency band limiting means 123), and the threshold value is set to a sensor output voltage of 0.0025 V (2.5 mV). did. 11 and 12, the broken line on the left indicates the maximum amplitude time, and the time from the maximum amplitude time to the time on the right broken line indicates the vibration waveform data processing time (100 ms).
  • the water leakage phenomenon and the destruction phenomenon were repeated 10 times each to determine the water leakage phenomenon and the destruction phenomenon.
  • the water leakage phenomenon could be determined in 8 out of 10 times (detection rate: 80%).
  • the destruction phenomenon could be determined in 9 out of 10 times (detection rate: 90%).
  • Example 3 In this example, the determination of deterioration detection of a building or a structure such as a building was performed by a simulation experiment system assuming an actual building.
  • each level was connected with a plurality of beams.
  • the vibration sensor was bonded and fixed to the beam material.
  • Vibration response data (vibration waveform data) at the time of applying the excitation force in a pseudo building deterioration state in which the state and the bond strength deteriorated were acquired.
  • the graph of FIG. 13 shows digital vibration waveform data in the normal state.
  • the digital vibration waveform data is digital vibration waveform data limited in a frequency band of 100 to 1000 Hz by a digital filter (frequency band limiting means 123), and the threshold value is set to a sensor output voltage of 0.0005 V (0.5 mV). did.
  • the graph of FIG. 14 shows digital vibration waveform data in the building deterioration state.
  • the digital vibration waveform data is digital vibration waveform data limited in a frequency band of 100 to 1000 Hz by a digital filter (frequency band limiting means 123), and the threshold value is set to a sensor output voltage of 0.002 V (2 mV).
  • the broken line indicates the maximum amplitude time, and the graph ends at 35 ms before and 40 ms. In practice, however, the vibration waveform data processing is performed for 100 ms from the maximum amplitude time. Yes.
  • the normal state and the deteriorated state were repeated 10 times each to determine the normal state and the deteriorated state.
  • the deterioration state could be determined in 9 out of 10 times (detection rate: 90%).
  • the structure state determination device and the structure state determination method of the present invention include, for example, detection of intrusion to a structure from the outside, detection of water leakage or water pipe breakage in a water pipe system of a social infrastructure business, building or residence It can be applied to the detection of deterioration of structures such as oil leaks or pipeline breakage detection in oil pipeline systems, gas leak detection or pipeline breakage detection in gas pipelines, etc.
  • Vibration detection means Vibration sensor
  • Calculation means microcomputer
  • Starting means 14
  • Unnecessary response removing means 15
  • Analog-digital conversion means A / D converter
  • Terminal 42 Display 121
  • Analysis Unit 122
  • Determination Unit 123 Frequency Band Limiting Unit (Digital Filter)
  • Unlocking Action A
  • Monitoring frequency band A 202
  • Open window Action C
  • Monitoring frequency band C 1 Glass Breaking Detection Unit 2 Open / Close Detection Unit 3
  • CPU 4 Output unit 6
  • Clock unit 7 Power supply unit 1a Vibration sensor unit 1b
  • Amplification unit Vibration analysis unit 2a Reed switch 2b Magnet

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Examining Or Testing Airtightness (AREA)
  • Burglar Alarm Systems (AREA)

Abstract

L'invention concerne un dispositif et un procédé de détermination de l'état d'une structure, qui sont capables de déterminer l'état de la structure au moyen d'une configuration simple. Le présent dispositif (10) de détermination d'état d'une structure comporte un moyen (11) de détection de vibrations servant à détecter les vibrations de la structure, et un moyen arithmétique (12) servant à effectuer un traitement arithmétique sur des données de formes d'ondes de vibrations acquises par le moyen (11) de détection de vibrations, et le moyen arithmétique (12) comporte un moyen (121) d'analyse servant à effectuer une analyse de formes d'ondes atténuées sur les données de formes d'ondes de vibrations après un instant où la value absolue d'un pic devient maximale dans les données de formes d'ondes de vibrations, et un moyen (122) de détermination servant à déterminer l'état de la structure en se référant au résultat de l'analyse effectuée par le moyen (121) d'analyse.
PCT/JP2013/065023 2012-06-20 2013-05-30 Dispositif et procédé de détermination d'état d'une structure WO2013190973A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2014521260A JPWO2013190973A1 (ja) 2012-06-20 2013-05-30 構造物の状態判定装置および構造物の状態判定方法

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2012-139237 2012-06-20
JP2012139237 2012-06-20

Publications (1)

Publication Number Publication Date
WO2013190973A1 true WO2013190973A1 (fr) 2013-12-27

Family

ID=49768575

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2013/065023 WO2013190973A1 (fr) 2012-06-20 2013-05-30 Dispositif et procédé de détermination d'état d'une structure

Country Status (2)

Country Link
JP (1) JPWO2013190973A1 (fr)
WO (1) WO2013190973A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016099288A (ja) * 2014-11-25 2016-05-30 日本電気株式会社 計測装置及び計測レンジ切換方法
WO2018003166A1 (fr) * 2016-06-27 2018-01-04 株式会社日立製作所 Terminal de capteur sans fil, système de capteur sans fil et procédé de collecte de données de capteur
WO2018079438A1 (fr) * 2016-10-25 2018-05-03 日本電気株式会社 Dispositif d'évaluation, procédé d'évaluation et support d'enregistrement lisible par ordinateur
JP2018072878A (ja) * 2016-10-24 2018-05-10 株式会社アニモ 防犯に関わる音の判定方法及び情報処理装置
JP2021028618A (ja) * 2019-08-09 2021-02-25 ユカインダストリーズ株式会社 シール材の劣化診断方法および劣化診断装置
US11579040B2 (en) 2017-12-07 2023-02-14 Nec Corporation Damage diagnosis device, damage diagnosis method, and recording medium in which damage diagnosis program is stored

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112197929B (zh) * 2020-10-09 2021-05-04 哈尔滨工程大学 一种在陆地上进行水下爆炸试验的装置及方法

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS59200957A (ja) * 1983-02-28 1984-11-14 Nippon Kokan Kk <Nkk> ボルトゆるみ検出装置
JPS62112055A (ja) * 1985-11-09 1987-05-23 Ito Kensetsu Kk 埋設管の種類の判別方法および装置
JPH0830874A (ja) * 1994-07-18 1996-02-02 Nippondenso Co Ltd ガラス割れ検出装置
JPH09297892A (ja) * 1996-03-08 1997-11-18 Denso Corp ガラス割れ検出装置
JP2002131291A (ja) * 2000-10-27 2002-05-09 Kawasaki Heavy Ind Ltd 構造物検査方法および装置
JP2002318155A (ja) * 2001-04-24 2002-10-31 Fuji Xerox Co Ltd 信号判断装置
JP2007047168A (ja) * 2005-08-10 2007-02-22 General Electric Co <Ge> 回転機械におけるイベント検出のための信号シグニチャ解析の方法および装置
JP2008250925A (ja) * 2007-03-30 2008-10-16 Fujitsu Ten Ltd 車内侵入検知装置および車内侵入検知方法
JP2011002276A (ja) * 2009-06-17 2011-01-06 Nec Tokin Corp ガラス破壊検知方法および装置

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS59200957A (ja) * 1983-02-28 1984-11-14 Nippon Kokan Kk <Nkk> ボルトゆるみ検出装置
JPS62112055A (ja) * 1985-11-09 1987-05-23 Ito Kensetsu Kk 埋設管の種類の判別方法および装置
JPH0830874A (ja) * 1994-07-18 1996-02-02 Nippondenso Co Ltd ガラス割れ検出装置
JPH09297892A (ja) * 1996-03-08 1997-11-18 Denso Corp ガラス割れ検出装置
JP2002131291A (ja) * 2000-10-27 2002-05-09 Kawasaki Heavy Ind Ltd 構造物検査方法および装置
JP2002318155A (ja) * 2001-04-24 2002-10-31 Fuji Xerox Co Ltd 信号判断装置
JP2007047168A (ja) * 2005-08-10 2007-02-22 General Electric Co <Ge> 回転機械におけるイベント検出のための信号シグニチャ解析の方法および装置
JP2008250925A (ja) * 2007-03-30 2008-10-16 Fujitsu Ten Ltd 車内侵入検知装置および車内侵入検知方法
JP2011002276A (ja) * 2009-06-17 2011-01-06 Nec Tokin Corp ガラス破壊検知方法および装置

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2016099288A (ja) * 2014-11-25 2016-05-30 日本電気株式会社 計測装置及び計測レンジ切換方法
WO2018003166A1 (fr) * 2016-06-27 2018-01-04 株式会社日立製作所 Terminal de capteur sans fil, système de capteur sans fil et procédé de collecte de données de capteur
JP2018005269A (ja) * 2016-06-27 2018-01-11 株式会社日立製作所 無線センサ端末、無線センサシステムおよびセンサデータ収集方法
US10629065B2 (en) 2016-06-27 2020-04-21 Hitachi, Ltd. Wireless sensor terminal, wireless sensor system, and sensor data collection method
JP2018072878A (ja) * 2016-10-24 2018-05-10 株式会社アニモ 防犯に関わる音の判定方法及び情報処理装置
WO2018079438A1 (fr) * 2016-10-25 2018-05-03 日本電気株式会社 Dispositif d'évaluation, procédé d'évaluation et support d'enregistrement lisible par ordinateur
US11029231B2 (en) 2016-10-25 2021-06-08 Nec Corporation Assessing device, assessing system, assessing method, and computer-readable recording medium
US11579040B2 (en) 2017-12-07 2023-02-14 Nec Corporation Damage diagnosis device, damage diagnosis method, and recording medium in which damage diagnosis program is stored
JP2021028618A (ja) * 2019-08-09 2021-02-25 ユカインダストリーズ株式会社 シール材の劣化診断方法および劣化診断装置
JP7320225B2 (ja) 2019-08-09 2023-08-03 ユカインダストリーズ株式会社 シール材の劣化診断方法および劣化診断装置

Also Published As

Publication number Publication date
JPWO2013190973A1 (ja) 2016-05-26

Similar Documents

Publication Publication Date Title
WO2013190973A1 (fr) Dispositif et procédé de détermination d&#39;état d&#39;une structure
JP4914162B2 (ja) 地震被害判定装置、地震被害判定方法及び地震被害判定プログラム
EP2902766B1 (fr) Dispositif de détection de fuite, procédé de détection de fuite et programme
KR101647704B1 (ko) 공동주택 층간소음 실시간 모니터링 시스템 및 모니터링 방법
JP6406013B2 (ja) 欠陥分析装置、欠陥分析方法及びプログラム
JP2005518538A (ja) 構造的な倒壊の開始を判断、検出する装置および方法
JP6128342B2 (ja) 構造物の状態判定装置および構造物の状態判定方法
WO2013183314A1 (fr) Dispositif d&#39;analyse de structure et procédé d&#39;analyse de structure
Patel et al. Damage identification of RC structures using wavelet transformation
JP2008003043A (ja) 損傷検出方法、損傷検出装置、損傷検出システム
US20100183160A1 (en) Vibration sensor assembly with ambient noise detection
JP5497257B2 (ja) 建築物の耐震性評価方法および評価装置
Nicoletti et al. Detection of infill wall damage due to earthquakes from vibration data
WO2016152143A1 (fr) Dispositif d&#39;analyse de défauts, système d&#39;analyse de défauts, procédé d&#39;analyse de défauts, et support d&#39;enregistrement lisible par ordinateur
WO2014157539A1 (fr) Dispositif d&#39;analyse de défaut, procédé d&#39;analyse de défaut et programme
JP6459186B2 (ja) 情報処理装置、配管音速分布測定装置、それを用いた配管異常位置検出装置、および配管音速分布測定方法
CN205966442U (zh) 一种用于标定光纤振动入侵探测系统的振动源
KR102196534B1 (ko) Ｍｅｍｓ 네트워크를 이용한 실시간 지진동 감시 및 분포 지도 작성을 위한 장치 및 방법
JP4701759B2 (ja) 免震効果評価装置、振動測定システム
WO2014024559A1 (fr) Appareil de détection de vibration
JP2004170397A (ja) Ａｅセンサ及びａｅセンサを用いた構造物の異常検出システム並びに安全性評価システム
US6386037B1 (en) Void detector for buried pipelines and conduits using acoustic resonance
JP6229659B2 (ja) 欠陥分析装置、欠陥分析方法及びプログラム
JP2011002276A (ja) ガラス破壊検知方法および装置
JP3696298B2 (ja) 建築物の耐震評価方法および装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13806355

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2014521260

Country of ref document: JP

Kind code of ref document: A

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 13806355

Country of ref document: EP

Kind code of ref document: A1