JP6319613B1 - Data collection and analysis system, data collection and analysis method, and program - Google Patents

Abstract

The data collection and analysis system (10) is connected to a detection device (16) that detects an event occurring in the measurement target (14) and a plurality of detection devices (16) via wireless communication. A collection device (18) that collects detection results, and is connected to the collection device (18) via a wireless communication line (20), acquires each detection result from the collection device (18), and based on each acquired detection result And an analysis device (22) for determining whether there is an abnormality in each measurement object (14).

Description

  The present invention relates to a data collection / analysis system and a data collection / analysis method for detecting an event occurring in a measurement object, collecting the detection result and analyzing the detection result, and a program for causing a computer to function as the analysis apparatus.

  For example, Japanese Unexamined Patent Application Publication Nos. 2010-198451 and 2013-125469 disclose that a monitoring result is notified when an abnormal event occurs in a measurement target.

  In JP 2010-198451 A, when one mobile phone is operated in a crime prevention danger area and a security alarm is activated, communication with the one mobile phone is not performed via the Internet or a server. It is disclosed that crime prevention information on a crime prevention dangerous area is transmitted to another established mobile phone by short-range wireless communication.

  In JP 2013-125469 A, an opening abnormality detection device installed in the vicinity of an opening of a building detects an intruder's intrusion work or the like, and the control device determines whether or not an abnormality of the opening has occurred. However, it is disclosed to issue a signal notifying abnormality to a monitoring device installed in a security company via a communication network.

[Problems to be solved by the present invention]
By the way, when determining the presence / absence of abnormality of the measurement target based on the detection result of the detection device that detects the event of the measurement target, the determination may be difficult. Note that the measurement target refers to what is to be monitored in the monitoring target area such as a building, land, or office. For example, an opening such as a window or a door of a building, a boundary of land (a fence existing in) There are fixtures and document storage boxes (cardboard boxes) in the office. Further, the abnormality of the measurement target is (1) vibration or shock (event) that is not normally possible during monitoring of the monitoring target area, or (2) vibration or shock that can occur during normal time ( Event) does not occur in the measurement target during monitoring. As an example of (1), there is a case where vibrations or impacts that are not normally possible are generated in the measurement object due to a human action (for example, an intruder entering the opening) or a natural phenomenon such as an earthquake or wind. On the other hand, as an example of (2), when there is a person (for example, a resident of the building) in the building, the vibration or impact of the door accompanying the opening / closing operation of the door by the person even if a predetermined time has elapsed during monitoring May not occur.

  Here, the case where it becomes difficult to determine whether there is an abnormality will be described in detail. When a magnetic proximity switch is installed on a measurement target in order to detect an abnormality of the measurement target such as the opening or the fixture described above, two driven bodies (for example, two constituting a sliding window) The permanent magnet of the proximity switch is arranged on one of a window) or a fixed object and a driven body (for example, a desk and its drawer), and the detection element of the proximity switch is arranged on the other.

  However, if the permanent magnet and the detection element are arranged apart from each other, or if a positional deviation occurs between the permanent magnet and the detection element, an abnormality in the measurement target is detected based on the detection result of the proximity switch. It becomes difficult to determine whether or not there is any.

  In addition, when there is a dynamic change such as an impact exceeding the predetermined value on the measurement target, the detection result alone is a dynamic change caused by a natural phenomenon or a dynamic change caused by human movement. Cannot determine if it exists. It seems that such a dynamic change can be discriminated if it is in the vicinity of the measurement target or the detection device, but when the occurrence of the dynamic change is not noticed, when does the event corresponding to such a dynamic change occur? Cannot be specified.

  The present invention has been made in view of the above problems, and can easily and reliably determine the presence or absence of an abnormality in a measurement target based on the detection result of a detection device that detects an event occurring in the measurement target. An object of the present invention is to provide a data collection analysis system, a data collection analysis method, and a program.

[Means and effects for solving the problems]
In order to achieve the above object, a data collection and analysis system according to the present invention includes a detection device, a collection device, and an analysis device. The detection device detects an event that occurs in a measurement target. The collection device is connected to the plurality of detection devices via a radio and collects detection results of the detection devices. The analysis device is connected to the collection device via a wireless communication line, acquires the detection results from the collection device, and determines whether there is an abnormality in the plurality of measurement objects based on the acquired detection results. To do.

  The data collection and analysis method according to the present invention includes first to third steps. In the first step, an event occurring in the measurement object is detected by a detection device. In the second step, the detection results of the detection devices are collected by a collection device connected to the plurality of detection devices via radio. In the third step, each detection result is acquired from the collection device by an analysis device connected to the collection device via a wireless communication line, and a plurality of measurement targets are obtained based on the acquired detection results. Determine if there is an abnormality.

  Furthermore, the program according to the present invention detects an event that occurs in a measurement object by a detection device, and collects the detection results of each detection device by a collection device that is connected to the plurality of detection devices via radio. A computer connected to the collection device via a wireless communication line acquires the detection results from the collection device, and determines whether there are abnormalities in the plurality of measurement objects based on the acquired detection results. It functions as an analysis device.

  According to these inventions, the detection results of the detection devices that detect the events to be measured are collected in the analysis device via the collection device and the wireless communication line, and the detection devices detect the detection results. Based on the result, the presence or absence of abnormality of each measurement object is determined. As a result, the detection results of all the detection devices are collected by the analysis device, and the amount of data collected by the analysis device (each detection result) is increased. It can be used to determine whether the target is abnormal.

  For example, even if some of the detection devices have a defect such as a failure and normally impossible detection results are collected, by referring to the detection results of other normal detection devices, the analysis device It is possible to easily determine that the detection result of the detection device is a detection result due to the defect.

  Therefore, according to the present invention, it is possible to easily and reliably determine the presence / absence of each measurement target based on each detection result, so that the presence / absence of abnormality can be accurately determined. it can.

  Here, it is preferable that each of the detection devices includes an acceleration sensor that is attached to the measurement target and detects acceleration according to vibration or impact as the event that occurs in the measurement target. Thereby, the analysis device acquires the acceleration as each detection result via the wireless communication line and the collection device, and accurately determines the presence / absence of the abnormality of each measurement object based on each acceleration. It becomes possible.

  In this case, each detection result is an acceleration waveform corresponding to a vibration or impact generated in each measurement object, and the analysis device is configured to detect each measurement object based on an amplitude direction and / or a period of each acceleration waveform. It is preferable to determine whether or not there is an abnormality.

  Thereby, the analysis device can acquire the acceleration waveforms in real time via the wireless communication line and the collection device. As a result, the amount of data collected by the analysis device increases dramatically, so that the presence or absence of abnormality of each measurement object can be determined with higher accuracy based on each acceleration waveform.

  Moreover, if the installation state of each detection device (each acceleration sensor) for each measurement object is known in advance, the analysis device checks the amplitude direction of the acceleration waveform to determine the force from which direction. It can be specified whether the vibration is generated in the measurement object or impact.

  Further, the analysis device can identify the vibration or impact caused by a natural phenomenon such as an earthquake when the acceleration waveform has a relatively long period by examining the period of the acceleration waveform. On the other hand, when the acceleration waveform has a relatively short period, it can be identified that the vibration or impact is caused by a human motion.

  Each of the acceleration sensors is a three-axis acceleration sensor, and each of the detection devices and the collection device is connected via a wireless PAN (Personal Area Network), and the collection device and the analysis device are Connected via a wireless LAN (Local Area Network), the analysis device has a learning function for learning the vibration or shock pattern, and the learned vibration or shock pattern and each acceleration waveform Based on this, it is preferable to determine the presence or absence of an abnormality in each measurement target.

  As a result, the amount of data per unit time of each detection result collected by the analysis device increases dramatically. Therefore, by providing the analysis device with a learning function, the analysis device can more accurately determine the presence / absence of abnormality of each measurement target using artificial intelligence.

  In this case, the analysis apparatus determines that the abnormality has occurred when vibration or impact that is not normally possible occurs in the measurement object, or when vibration or shock that may occur in normal time does not occur in the measurement object. What is necessary is just to discriminate.

  And in this invention, the said analysis apparatus transmits the notification signal which notifies the generation | occurrence | production of the said abnormality to the external portable device via the said radio | wireless communication line, and the said portable device is based on the received said notification signal. The occurrence of the abnormality may be notified to the outside. As a result, when a person concerned in the monitoring target area including each measurement object has the portable device, the person concerned can be notified promptly of the occurrence of the abnormality. As a result, the concerned person can take an appropriate response to the measurement object such as contact with a service provider (for example, a security company) to which the present invention is applied.

  In this case, it is preferable that the analysis apparatus transmits the notification signal including information on the measurement target determined to be abnormal and the time when the abnormality has occurred to the portable device via the wireless communication line. As a result, the portable device informs the outside of the measurement object determined to be abnormal and the time when the abnormality occurred, so that the concerned person takes a more appropriate response to the measurement object. Can do.

  The analysis device transmits the notification signal to the collection device via the wireless communication line, and the collection device notifies the occurrence of the abnormality to the outside based on the received notification signal. It is preferable to provide. Thereby, it is possible to warn a person (for example, an intruder who performs an intrusion operation with respect to an opening of a building) through the notification unit, who is performing some operation on the measurement target.

  Further, the analysis device includes a storage unit that sequentially stores a determination result of the presence or absence of abnormality of each measurement target, and among the determination results stored in the storage unit, a determination result indicating the occurrence of the abnormality Preferably, history information including information on the measurement target determined to be abnormal and the time when the abnormality occurred is transmitted to the portable device via the wireless communication line. Thereby, by referring to the history information, it is possible to confirm when and in which measurement object an event corresponding to the abnormality has occurred.

  Further, the portable device transmits a release request signal for requesting release of notification by the notification unit to the analysis device via the wireless communication line based on an operation by an operator of the portable device, and the analysis device Preferably, based on the received cancellation request signal, a cancellation instruction signal for instructing cancellation of the notification is transmitted to the collection device via the wireless communication line. Thereby, when the abnormality of the measurement target is resolved and the notification becomes unnecessary, the notification operation by the notification unit is performed only by the operator (the person concerned in the monitoring target area) operating the portable device. Can be released promptly.

It is a block diagram of the data collection analysis system concerning this embodiment. It is a block diagram of the detection apparatus of FIG. 1, a collection apparatus, an analysis apparatus, and a portable device. 3A is an external perspective view of the detection device of FIGS. 1 and 2, and FIG. 3B is an external perspective view of the collection device of FIGS. 1 and 2. It is a flowchart which shows operation | movement of the data collection analysis system of FIG. It is a timing chart which shows an example of the acceleration waveform at the time of the occurrence of an earthquake. It is a timing chart which shows an example of the acceleration waveform according to the vibration or impact which generate | occur | produces in a sliding window. It is a timing chart which shows an example of the acceleration waveform according to the vibration or impact which generate | occur | produces at drawer | drawing-out. It is a timing chart which shows an example of the acceleration waveform according to the vibration or impact which generate | occur | produces in a cabinet. It is a timing chart which shows an example of the acceleration waveform according to the vibration or impact which generate | occur | produces in a cabinet. 10A and 10B are explanatory diagrams illustrating an example of a display screen of the mobile device. It is explanatory drawing which shows an example of the display screen of a portable device. It is explanatory drawing which shows an example of the display screen of a portable device. It is explanatory drawing which shows an example of the display screen of a portable device.

  The present invention will be described in detail below with reference to the accompanying drawings.

[Configuration of this embodiment]
The configuration of the data collection and analysis system 10 according to the present embodiment will be described with reference to FIGS. 1 to 3B.

  The data collection / analysis system 10 is provided in a monitored area 12 such as a building such as a house, land, or office, for example, an opening such as a window or a door of a building, a boundary of the land, When there is a measurement target 14 as a monitoring target such as a fixture or a document storage box (corrugated cardboard box), monitoring or security of human actions on the measurement target 14 (for example, an intruder intrusion operation on the measurement target 14), etc. Applies to services. That is, the data collection and analysis system 10 can be applied to services such as monitoring or security of the monitoring target area 12 by a service provider such as a security company.

  The data collection and analysis system 10 includes a plurality of detection devices 16 respectively attached to a plurality of measurement objects 14 in the monitoring target region 12, a collection device 18 connected to each detection device 16 via wireless, and a collection device 18 And an analysis device 22 connected via the wireless communication line 20. The wireless communication line 20 is connected to a portable device 24 possessed by a person (operator) in the monitored area 12 such as a resident of a house or a manager of a business office. In addition, when the data collection and analysis system 10 is applied to monitoring or security of the monitoring target area 12 by a security company, it is preferable that the above-mentioned parties are contractors who receive the monitoring or security service.

  Here, as an example, a case will be described in which the monitoring target region 12 is a house and the measurement target 14 is an external connection part of a house such as a sliding window or a door. In the data collection and analysis system 10, signals can be transmitted and received by wireless communication between the plurality of detection devices 16 and the collection device 18, and the collection device 18 and the analysis device 22 are connected via the wireless communication line 20. The monitoring target region 12 (the measurement target 14) is monitored in a state in which signals can be transmitted and received between them.

  As shown in FIG. 3A, each detection device 16 is formed in a thin rectangular shape. For example, when the measurement target 14 is a sliding window, the sliding window is configured by sticking, adhesion, or adhesion. The window glass 26 is attached to the corner of the indoor side or the outdoor side. As shown in FIG. 2, each detection device 16 includes an acceleration sensor 28, a communication unit 30, and an LED (Light Emitting Diode) 32.

  The acceleration sensor 28 is a three-axis acceleration sensor, and sequentially detects accelerations in three axial directions (three-dimensional directions) corresponding to vibrations or shocks (events) generated on the measurement target 14 (window glass 26).

  As shown in FIG. 3A, when the position of the acceleration sensor 28 is the origin O, the outdoor side with respect to the origin O is defined as the + Z direction, and the indoor side is defined as the −Z direction. Further, the upper side from the origin O is defined as + Y direction, and the lower side is defined as -Y direction. Furthermore, when the detection device 16 is viewed from the outside, the right side from the origin O is in the + X direction and the left side is in the −X direction, or when the detection device 16 is viewed from the inside, the left side from the origin O is in the + X direction and the right side. -X direction is defined.

  Therefore, the triaxial acceleration sensor 28 detects acceleration in the X direction (left and right direction), acceleration in the Y direction (up and down direction), and acceleration in the Z direction (front and rear direction).

  In the following description, the acceleration sensor 28 is mounted when the detection device 16 is mounted from the outdoor side of the measurement target 14 (the window glass 26 thereof) or from the indoor side of the measurement target 14. In any case, it should be noted that the three axial directions of the X direction, the Y direction, and the Z direction with respect to the origin O are the directions shown in FIG. 3A.

  The communication unit 30 in FIG. 2 transmits and receives signals to and from the collection device 18 by wireless communication using BLE (Bluetooth Low Energy; Bluetooth is a registered trademark), which is a type of wireless PAN. Accordingly, the communication unit 30 transmits the triaxial acceleration signals sequentially detected by the acceleration sensor 28 to the collection device 18 by wireless communication at predetermined time intervals (for example, about 90 times / s to 100 times / s). . In this case, the communication unit 30 transmits the detection time of acceleration by the acceleration sensor 28 to the collection device 18 by a clock function (not shown) together with the acceleration signal in the triaxial direction. Note that the communication unit 30 can also receive signals from the collection device 18 at predetermined time intervals.

  The LED 32 is an indicator that is disposed on the front surface of the detection device 16 and lights during the operation of the detection device 16.

  As shown in FIG. 3B, the collecting device 18 is formed in a block shape, and a plug 36 that can be inserted into the outlet 34 is provided on the back surface thereof. Further, on the side surface of the collection device 18, pairing between the collection device 18 and the analysis device 22 via the wireless communication line 20, pairing between the collection device 18 and each detection device 16, or A switch 38 is provided for canceling the pairing.

  In addition to the plug 36 and the switch 38 described above, the collection device 18 further includes a power supply unit 40, a communication unit 42, a control unit 44, and a notification unit 46, as shown in FIG.

  When the plug 36 is inserted into the outlet 34, the power supply unit 40 converts AC power supplied from the outlet 34 via the plug 36 into DC power, and supplies the DC power to each part in the collection device 18.

  The communication unit 42 transmits and receives signals to and from the communication units 30 of the plurality of detection devices 16 by a wireless PAN such as BLE, while a wireless LAN such as Wi-Fi (Wireless Fidelity; Wi-Fi is a registered trademark). The signal is transmitted and received by wireless communication with the analysis device 22 via the wireless communication line 20.

  Accordingly, the wireless communication line 20 is an internet line, and the data collection and analysis system 10 is IoT (Internet of Things) in which each detection device 16 is connected to the internet line via the collection device 18.

  The collection device 18 functions as a relay device or gateway that relays signals between the plurality of detection devices 16 and the analysis device 22. That is, the communication unit 42 receives triaxial acceleration signals and acceleration detection times transmitted from the plurality of detection devices 16 within the BLE communication range at predetermined time intervals as triaxial acceleration waveforms ( Collecting) and transmitting (transferring) each collected acceleration waveform to the analysis device 22 via the wireless communication line 20. Further, the communication unit 42 outputs a signal received from the analysis device 22 to the control unit 44. The communication unit 42 can also transfer the signal received from the analysis device 22 to the communication unit 30 of the detection device 16.

  The control unit 44 controls each unit in the collection device 18. The notification unit 46 is a display unit such as an LED or a speaker, and emits light or outputs sound based on control from the control unit 44. Note that FIG. 3B illustrates a case where the notification unit 46 is an LED.

  The analysis device 22 is a computer connected to the wireless communication line 20 and includes a control unit 48, a communication unit 50, a determination unit 52, and a storage unit 54. The computer functions as the analysis device 22 by reading and executing software (program) stored in the storage unit 54 that is a non-transitory recording medium, and the control unit 48, the communication unit 50, and the determination unit 52. Realize the function. This software (algorithm) is updated as needed.

  Here, each part of the analysis device 22 will be described in detail. The control unit 48 controls each unit in the analysis device 22.

  The communication unit 50 transmits and receives signals to and from the collection device 18 and the portable device 24 via the wireless communication line 20 in accordance with control from the control unit 48. Accordingly, the communication unit 50 can receive the acceleration waveform in the triaxial direction from each detection device 16 from the collection device 18 via the wireless communication line 20.

  Based on the acceleration waveforms received by the communication unit 50, the determination unit 52 determines the presence / absence of abnormality of each measurement target 14 to which each detection device 16 is attached. In this case, the determination unit 52 determines whether each measurement object 14 is abnormal based on the amplitude direction and / or period of each acceleration waveform. The abnormality of the measurement target 14 means that (1) vibration or impact (event) that is not normally possible occurs in the measurement target 14 during the monitoring of the monitoring target area 12, or (2) vibration that can occur during normal time. Or, it means that no impact (event) occurs in the measurement object 14 during monitoring. As an example of (1), there is a case where vibration or impact that is not normally possible is generated in the measurement object 14 due to a human action (for example, an intruder entering the opening) or a natural phenomenon such as an earthquake or a wind. . On the other hand, as an example of (2), when there is a person (for example, a resident of the building) in the building, the vibration or impact of the door accompanying the opening / closing operation of the door by the person even if a predetermined time elapses during monitoring. May not occur.

  The discriminating unit 52 is an artificial intelligence having a machine learning function for learning a vibration or shock pattern generated in the measurement object 14, and the acceleration waveform of the learned vibration or shock pattern and each acceleration waveform actually collected. Based on the above, it is also possible to determine whether there is an abnormality in each measurement object 14. That is, the determination unit 52 analyzes each acceleration waveform obtained by sensing to perform machine learning of the acceleration waveform pattern, and obtains the learned pattern and the triaxial acceleration waveform collected after learning. By comparing, it can be determined whether the acceleration waveform is due to a natural phenomenon or due to a human action.

  Furthermore, every time the determination unit 52 performs the determination process, the determination result is sequentially stored in the storage unit 54. In this case, the determination unit 52 also stores history information including a determination result indicating the occurrence of abnormality in the storage unit 54.

  The mobile device 24 is a variety of mobile devices such as smartphones possessed by persons concerned in the monitoring target area 12, and includes a communication unit 56, a control unit 58, a display unit 60, and an operation unit 62. The communication unit 56 transmits and receives signals to and from the analysis device 22 via the wireless communication line 20. The control unit 58 controls each unit of the mobile device 24. The display unit 60 displays various information according to the control of the control unit 58. The operation unit 62 is a touch panel or the like operated by a related person.

  The data collection and analysis system 10 according to this embodiment is applied to a cloud service, and a cloud computer on the Internet functions as the analysis device 22. As described above, since the acceleration waveforms in the three-axis directions are sequentially transmitted from each detection device 16 to the analysis device 22 via the collection device 18 and the wireless communication line 20, the analysis device 22 has a huge amount of big data. By analyzing (analyzing) each acceleration waveform, whether or not each measurement object 14 is abnormal is determined.

  Further, when the determination unit 52 determines that an abnormality has occurred in the measurement target 14, the control unit 48 collects a notification signal for notifying the occurrence of the abnormality from the communication unit 50 via the wireless communication line 20. 18 to send. The notification signal includes information on the measurement object 14 determined to be abnormal and the time when the abnormality occurred. When the communication unit 42 of the collection device 18 receives the notification signal, the notification unit 46 starts light emission based on the received notification signal or starts outputting sound. Here, the time at which the abnormality has occurred refers to the time at which the acceleration (acceleration waveform) used for the processing that the determination unit 52 determined to be abnormal is detected.

  The notification signal is also transmitted from the communication unit 50 to the portable device 24 via the wireless communication line 20. When the communication unit 56 of the portable device 24 receives the notification signal, the control unit 58 causes the display unit 60 to display that an abnormality has occurred in the measurement target 14 based on the notification signal.

  Further, the storage unit 54 stores history information including a determination result indicating the occurrence of an abnormality, information on the measurement target 14 determined to be abnormal, and a time when the abnormality occurred. Therefore, the control unit 48 can transmit history information from the communication unit 50 to the communication unit 56 of the portable device 24 via the wireless communication line 20. When the communication unit 56 receives the history information, the control unit 58 of the portable device 24 causes the display unit 60 to display the history information.

  Furthermore, when a person who has visually recognized the display content of the display unit 60 of the portable device 24 operates the operation unit 62 and requests the notification unit 46 to cancel the notification, the control unit 58 receives a wireless communication line from the communication unit 56. 20, a cancellation request signal for requesting cancellation of notification is transmitted to the communication unit 50 of the analysis device 22. When the communication unit 50 receives the cancellation request signal, the control unit 48 transmits a cancellation instruction signal instructing cancellation of notification from the communication unit 50 to the collection device 18 via the wireless communication line 20. When the communication unit 42 receives the release instruction signal, the control unit 44 of the collection device 18 stops the light emission or sound output by the notification unit 46 based on the release instruction signal.

[Operation of this embodiment]
Next, the operation (data collection analysis method) of the data collection analysis system 10 according to the present embodiment will be described with reference to FIGS. In this description of operation, it will be described with reference to FIGS. 1 to 3B as necessary. Here, the data collection and analysis system 10 is applied to a service for monitoring (guarding) the monitoring target area 12, and a person performs some operation on the measurement target 14 during the monitoring of the monitoring target area 12 (for example, a window by an intruder, etc. The case of performing an opening / closing operation on the opening portion of (2) will be described.

  In this case, the plug 36 of the collection device 18 is inserted into the outlet 34 in advance in the monitoring target area 12. As a result, the power supply unit 40 converts AC power supplied from the outlet 34 via the plug 36 into DC power and supplies the DC power to each unit in the collection device 18. In addition, when a person concerned in the monitoring target region 12 presses the switch 38, the communication unit 42 can perform pairing with the analysis device 22 via the wireless communication line 20. The communication unit 42 can perform pairing with the communication units 30 of the plurality of detection devices 16 arranged in the monitoring target region 12.

  In this case, the entire monitoring target area 12 is set as a communication range of a wireless PAN such as BLE by the communication unit 42. As a result, the data collection and analysis system 10 reaches a state (warning mode) in which each measurement target 14 in the monitoring target region 12 can be monitored. After the transition to the alert mode, the person concerned in the monitoring target area 12 can move to a place away from the monitoring target area 12, for example.

  In step S1 (first step) in FIG. 4, the acceleration sensor 28 of each detection device 16 detects accelerations in the three axial directions of the X direction, the Y direction, and the Z direction. Each communication unit 30 transmits a three-dimensional acceleration signal and acceleration detection time that are sequentially detected to the communication unit 42 of the collection device 18 at predetermined time intervals by wireless communication using a wireless PAN such as BLE.

  In step S2 (second step), the communication unit 42 of the collection device 18 transmits a triaxial acceleration signal transmitted from the communication units 30 of all the detection devices 16 within the communication range of the wireless PAN at predetermined time intervals. And the detection time of acceleration are sequentially received, and the received signals and detection time are transferred to the analyzer 22 via the wireless communication line 20 as triaxial acceleration waveforms.

  5 to 9 show examples of acceleration waveforms in three-axis directions.

  FIG. 5 shows the acceleration waveform in the triaxial direction when a vibration or impact occurs in the measurement object 14 due to an earthquake.

  FIG. 6 shows that when the measurement object 14 is a sliding window, a person (for example, an intruder) hits the window from the outside, and then, among the sliding windows, the left window viewed from the outside is directed to the right (indoor The acceleration waveform in the triaxial direction when the right window is slid in the left direction as viewed from FIG.

  FIG. 7 shows an acceleration waveform in three axial directions when the intruder forcibly pulls out the drawer when the measurement object 14 is a desk drawer.

  8 and 9 show the acceleration waveforms in the triaxial directions when the intruder forcibly slides from the right to the left when viewing the cabinet from the outside when the measurement object 14 is a cabinet.

  In step S3 (third step), the communication unit 50 of the analysis device 22 receives (collects) the acceleration waveforms in the three-axis directions of all the detection devices 16 (acceleration sensors 28) via the wireless communication line 20. . The collected acceleration waveforms in the three-axis directions are stored in the storage unit 54.

  The determination unit 52 determines whether or not abnormal vibration or impact has occurred in the measurement target 14 in the monitoring target region 12 based on the collected acceleration waveforms in the three-axis directions.

  When it is determined that no abnormal vibration or impact has occurred (step S3: NO), the determination unit 52 stores the determination result in the storage unit 54, and then performs the process of step S3 on the next acceleration waveform. Run repeatedly.

  On the other hand, when it is determined that abnormal vibration or impact has occurred (step S3: YES), the determination unit 52 stores the determination result in the storage unit 54, and the determination result indicates that the determination result is abnormal. Information on the object 14 and the time when the abnormality occurred are stored in the storage unit 54 as history information. In the next step S4, the determination unit 52 determines whether or not to notify the collection device 18 and the portable device 24 that an abnormality has occurred based on the determination result.

  Even if the determination result indicates abnormal vibration or impact, when it is not necessary to notify (step S4: NO), the determination unit 52 returns to step S3 and repeats the process of step S3 for the next acceleration waveform. Run.

  On the other hand, when it is determined that notification is necessary (step S4: YES), the determination unit 52 notifies the control unit 48 that notification to the collection device 18 and the portable device 24 is necessary. Thereby, the control part 48 can perform the alerting | reporting process of step S5.

  Here, the processing contents of steps S3 and S4 in the determination unit 52 will be described in detail.

  The triaxial acceleration sensor 28 can measure acceleration in the + direction and the − direction with respect to the triaxial direction (three-dimensional direction). Therefore, if the mounting state of the detection device 16 (acceleration sensor 28) with respect to the measurement target 14 is known in advance, it can be determined from which direction the vibration or impact is applied to the measurement target 14 based on the acceleration waveform in the triaxial direction. It is possible to distinguish easily.

  Further, the acceleration waveform in the triaxial direction can be broadly classified into a long-period waveform and a short-period waveform based on the magnitude and time of vibration or impact. As a result, even if the acceleration waveform is in response to abnormal vibration or impact, it may be a long-period waveform in response to vibration or impact due to a natural phenomenon such as an earthquake or wind, or a human action (intrusion action by an intruder) ) To determine whether the waveform is a short period waveform.

  Therefore, the determination unit 52 can determine whether or not an abnormal vibration or impact has occurred based on the above-described determination criteria (step S3), and can determine whether notification is necessary (step S4). Specifically, the determination unit 52 may perform the following processes (first to third processes).

(1) First process The first process relates to the process of step S3.

  As described above, the triaxial acceleration sensor 28 can measure acceleration in the + direction and the − direction in the X direction, the Y direction, and the Z direction. For example, when the sliding window is viewed from the indoor side, the detection device 16 is attached to the left upper part (the corners in the + X direction and the + Y direction) of the left window of the two windows (window glass 26).

  Here, when the intruder hits the left window from the outside at the time points t1 and t2 in FIG. 6, an impact in the −Z direction is transmitted to the sliding window. As a result, the sliding window vibrates in the −Z direction, and the acceleration sensor 28 detects this vibration as an acceleration in the −Z direction. Therefore, the acceleration waveform in the Z direction corresponding to the impact (vibration) at the time points t1 and t2 is a waveform that starts from the downward vibration (−Z direction) in FIG.

  When the left window is struck indoors, the + Z direction impact is transmitted to the sliding window, and the sliding window vibrates in the + Z direction. Therefore, the acceleration sensor 28 detects this vibration as acceleration in the + Z direction. Therefore, the acceleration waveform at this time is a waveform that starts from a shake in the upward direction (+ Z direction) in FIG.

  Therefore, in the first process, by specifying in which direction the shake is started in the acceleration waveform in the Z direction, the measurement target 14 such as the sliding window is external (outdoor) or internal (indoor). It is possible to easily determine which direction the impact is from. Thereby, the discrimination | determination part 52 can discriminate | determine easily whether it is an acceleration waveform which shows the abnormal vibration or impact resulting from the intrusion operation | movement by an intruder.

(2) Second Process The second process is a process related to step S3 as in the first process.

  For example, when the sliding window is viewed from the indoor side, the detection device 16 is pasted on the upper right part (the corner in the −X direction and the + Y direction) of the right window of the two windows. In this case, when the right window is opened to the left side by an intruder or the like at time t3 in FIG. 6, an impact in the + X direction is transmitted to the right window, and the right window vibrates in the + X direction. The acceleration sensor 28 detects this vibration as acceleration in the + X direction. Therefore, the acceleration waveform in the X direction corresponding to the impact (vibration) at the time point t3 is a waveform that starts from a shake in the upward direction (+ X direction) in FIG.

  On the other hand, when the left window as viewed from the indoor side is opened to the right side by an intruder or the like with respect to the sliding window in the first process, an impact in the -X direction is transmitted to the left window, and the left window is -Vibrates in the X direction. The acceleration sensor 28 detects this vibration as an acceleration in the −X direction. Therefore, the acceleration waveform in the X direction corresponding to the shock (vibration) is a waveform that starts from a downward vibration (−X direction) in FIG.

  As described above, in the second process, by specifying which direction the shake of the acceleration waveform in the X direction is started, the measurement object 14 such as the sliding window is on the right side or the left side when viewed from the indoor side. It is possible to easily determine which of the impacts is moving. In the description of the second processing, the case of viewing from the inside has been described as a reference. However, it is a matter of course that the same result can be obtained even when viewed from the outside.

(3) Third Process The third process relates to the process of step S4.

  Vibration or impact due to a natural phenomenon, for example, ground motion (earthquake) is long-period vibration that causes impact on the measurement target 14 while continuing to vibrate the measurement target 14 in each of the three axial directions. When acceleration in the triaxial direction corresponding to such a long period vibration is detected by the acceleration sensor 28, the acceleration waveform becomes a long period waveform corresponding to the long period vibration as shown in FIG.

  Further, when the vibration or impact of the measurement target 14 due to the direct earthquake is measured by the acceleration sensor 28, an instantaneous acceleration waveform corresponding to the vibration or impact is obtained. However, such an acceleration waveform is also a relatively long long-period waveform.

  On the other hand, in the case of human vibration or impact such as an intrusion operation by an intruder, even if vibration or impact occurs instantaneously on the measurement object 14, as shown in FIG. The acceleration waveform corresponding to is measured as a short period waveform.

  That is, the frequency is different between the vibration or impact generated in the measurement object 14 due to a natural phenomenon and the vibration or impact when a person opens the window or door that is the measurement object 14. Further, the frequency is different between vibration or impact when a person hits the window glass 26 as the measurement target 14 and vibration or impact when the person breaks the window glass 26.

  From this, the discriminating unit 52 pays attention to the fact that the frequencies (cycles) are different from each other, and the acceleration waveform in the three-axis direction is a waveform caused by a natural phenomenon, or caused by human vibration or impact. It is possible to determine whether it is a waveform to be performed.

  Similarly, irregular vibrations or shocks caused by wind or vibrations or shocks with non-constant periodicity are clearly different from short-period waveforms that cause vibrations or shocks in an instant. Alternatively, discrimination processing based on an acceleration waveform caused by an impact can be performed.

  That is, in the third process, if it is determined in step S3 that the vibration or impact is abnormal (step S3: YES), in step S4, whether the determination result in step S3 is caused by a natural phenomenon, or It is possible to easily determine whether it is caused by an action (intrusion action by an intruder). As a result, if the vibration or impact is caused by a natural phenomenon, the notification to the detection device 16, the collection device 18, and the portable device 24 is not required (step S4: NO). If it is a vibration or impact to be performed, it can be easily determined that notification to the detection device 16, the collection device 18, and the portable device 24 is necessary (step S4: YES).

  That is, even if abnormal vibration or impact is a vibration or impact caused by a natural phenomenon, the determination unit 52 determines that notification to the detection device 16, the collection device 18, and the portable device 24 is not required (step) (S4: NO), the process returns to step S3, and the process of step S3 is repeatedly executed for the next acceleration waveform. On the other hand, when the abnormal vibration or impact is caused by human vibration or impact (intrusion operation by an intruder), the determination unit 52 determines that notification to the detection device 16, the collection device 18, and the portable device 24 is necessary. (Step S4: YES).

  Although the above description has been made with reference to the acceleration waveforms of FIGS. 5 and 6, the first to third processes can be applied to the acceleration waveforms of FIGS. 7 to 9.

  When the measurement object 14 is a drawer, as shown in FIG. 7, when an intruder performs an intrusion operation forcibly pulling out the drawer at time points t7 and t8, an acceleration waveform indicating vibration or impact corresponding to the intrusion operation is collected. Therefore, for example, the determination unit 52 can determine that an abnormal vibration or impact has occurred from the shake in the acceleration waveform (step S3: YES) by the first or second processing.

  Further, when the measurement object 14 is a cabinet, as shown in FIGS. 8 and 9, when the intruder performs an intrusion operation forcibly sliding the cabinet from the right side to the left side at time t <b> 9 to t <b> 13, according to the intrusion operation. Since the acceleration waveform indicating the vibration or impact is collected, the determination unit 52 generates an abnormal vibration or impact from the shake in the acceleration waveform, for example, by the first or second processing (step S3: YES). Can be determined.

  Further, since the triaxial acceleration waveforms in all the detection devices 16 are collected in step S2, the data amount per unit time of the triaxial acceleration waveforms collected by the analysis device 22 increases dramatically. Therefore, in step S3, the determination unit 52 functions as an artificial intelligence having a machine learning function for learning a vibration or impact pattern, and uses each collected acceleration waveform as big data to determine whether there is an abnormality in each measurement target 14. The determination may be performed with higher accuracy.

  For example, the discriminating unit 52 discriminates each acceleration waveform that is sequentially collected, and thereby determines an acceleration waveform pattern without a human action (for example, an intrusion operation) and an acceleration waveform pattern when the intrusion operation occurs. The presence / absence of the intrusion operation may be determined by specifying (learning) and comparing the learned pattern with the acceleration waveform collected thereafter.

  In addition, the determination unit 52 recognizes (learns) a pattern of an acceleration waveform corresponding to a vibration or impact caused by a natural phenomenon such as an earthquake or a wind, and compares the learned pattern with an acceleration waveform collected thereafter. Whether or not the acceleration waveform is a natural phenomenon may be determined.

  Further, the discrimination unit 52 discriminates each acceleration waveform collected sequentially, thereby accelerating the acceleration waveform pattern according to the normal acceleration sensor 28 and the acceleration waveform pattern corresponding to the faulty acceleration sensor 28. May be identified (learned), and each learned pattern may be compared with an acceleration waveform collected thereafter to determine whether the collected acceleration waveform is a normal waveform.

  As described above, when it is determined in step S3 that an abnormal vibration or impact has occurred (step S3: YES), and it is determined in step S4 that notification to the collection device 18 and the portable device 24 is necessary (step S4: YES), in the next step S5, the control unit 48 generates a notification signal for notifying the occurrence of an abnormality such as an intruder operation by the intruder, and the generated notification signal is transmitted from the communication unit 50 via the wireless communication line 20. To the collection device 18 and the portable device 24.

  When the communication unit 42 of the collection device 18 receives the notification signal, the control unit 44 controls the notification unit 46 based on the received notification signal, and monitors the occurrence of abnormality by the light emission of the LED or the output of sound. 12 is notified. Thereby, since the alerting | reporting part 46 warns the intruder who is going to perform intrusion operation | movement with respect to the measuring object 14, the crime prevention effect which delays intrusion of an intruder or prevents intrusion by an intruder beforehand is acquired. .

  In addition, when the communication unit 56 of the portable device 24 receives the notification signal, the control unit 58 displays, based on the notification signal, the occurrence of an abnormality in the measurement target 14 or the notification unit 46 performing a warning operation. To display.

  10A to 13 illustrate an example of the display screen 70 of the mobile device 24. FIG. 10A to 13 illustrate a case where the mobile device 24 is a smartphone, the display screen 70 is a display screen of the smartphone, and has the functions of the display unit 60 and the operation unit 62.

  FIG. 10A shows a display example of the display screen 70 when the data collection analysis system 10 is monitoring the monitoring target area 12 (warning mode). In this case, the person concerned in the monitoring target area 12 can switch the display screen 70 to the screen display of FIGS. 11 to 13 by sliding the display screen 70 to the right with a finger. On the other hand, FIG. 10B shows a display example of the display screen 70 when the monitoring (warning mode) for the monitoring target area 12 is cancelled.

  FIG. 11 shows a display example of the display screen 70 when the smartphone receives the notification signal. In this case, the background of the display screen 70 is displayed in red in order to notify the person concerned of the measurement object 14 determined to be abnormal. Further, the display field 72 of the display screen 70 includes (1) “gateway buzzer ringing” information indicating that the notification unit 46 of the collection device 18 is performing a notification operation, and (2) in the house in the monitoring target area 12. Information of “detection sensor undressing field” indicating that the measurement object 14 determined to be abnormal is a window of the undressing field is displayed.

  By visually recognizing the display content of the display field 72, the related person can recognize that the intruder has performed an intrusion operation on the dressing room, and that the notification operation by each notification unit 46 has been performed.

  Then, in the next step S6, the person who has visually recognized the display content of the display screen 70 maintains the notification operation (step S6: NO), for example, by tapping any of the four icons 73 to 76. In addition, it is possible to notify a predetermined contact address of the occurrence of abnormality or confirmation of facts (step S7).

  For example, when a related person operates the icon 73, a telephone contact can be made with a contact person designated in advance or a contact person registered in advance, for example, another related person (family) of the monitoring target area 12. In addition, when a related person operates the icon 74, a member of a previously registered group (contract) such as the above-mentioned designated contact address, a resident in the vicinity of the monitoring target area 12, or other related persons in the monitoring target area 12 is displayed. It is possible to make contact by e-mail to other users who have been designated in advance by a related party. Furthermore, when a related person operates the icon 75, the related person can notify all the members of the group all the facts that an abnormality has occurred by e-mail or the like. Furthermore, when a related person operates the icon 76, it is possible to contact a service provider (for example, a security company) and request a visit to the monitoring target area 12 or the like.

  After step S7, the portable device 24 returns to step S6. Further, when the related person decides to maintain the notification operation in step S6 (step S6: NO), the related person can continue the screen display of FIG. 11 without performing the process of step S7.

  On the other hand, for example, when the occurrence of the abnormality is resolved due to the notification operation of the notification unit 46 or the communication by the related party, the related party determines that the notification state needs to be canceled (step S6: YES), and step In S <b> 8, the related person requests to cancel the notification state by tapping the bell mark icon 77 on the display screen 70.

  Based on the tap operation of the icon 77, the control unit 58 transmits a cancellation request signal for requesting cancellation of the notification state from the communication unit 56 to the communication unit 50 of the analysis device 22 via the wireless communication line 20. When the communication unit 50 receives the release request signal, the control unit 48 of the analysis device 22 generates a release instruction signal for instructing release of the notification state based on the release request signal, and the generated release instruction signal is transmitted to the communication unit. 50 to the communication unit 42 of the collection device 18 via the wireless communication line 20. When the communication unit 42 receives the release instruction signal, the control unit 44 of the collection device 18 stops the notification operation of the notification unit 46 based on the release instruction signal.

  As a result, the display screen 70 is switched to the display contents shown in FIGS. In this case, the background of the display screen 70 is displayed in a color other than red (for example, white), and the display field 72 indicates (1) “Gateway” indicating that the notification unit 46 of the collection device 18 has stopped the notification operation. Information on “buzzer stopped” and (2) information on “detection sensor undressing field” indicating that the measurement object 14 subject to the release process is a window of the dressing room are displayed.

  After the cancellation processing in step S8, the display screen 70 may be the screen display of FIG. FIG. 13 illustrates a case where the history information stored in the storage unit 54 is displayed on the display screen 70. In this case, a case where the operation results of the monitoring operation of the data collection analysis system 10 for the monitoring target area 12 and the history of the release process in step S8 are displayed as display columns 80a to 80e for each operation and each release process. Show.

  In FIG. 13, the operation results twice and the release processing three times in the monitoring target area 12 are displayed in the display columns 80a to 80e. That is, in the display fields 80b and 80d, for example, the name of the measurement object 14 determined to be abnormal, the installation location (dressing place), and the time when the abnormality occurred are displayed as the operation results. In the display columns 80a, 80c, and 80e, for example, the time when the notification operation by the notification unit 46 is stopped is displayed as the release process.

  Note that the control unit 58 may cause the display screen 70 to display information related to the occurrence of an abnormality each time an abnormality occurs in each measurement target 14. In this case, for example, the control unit 58 may display only the display fields 80b and 80d on the display screen 70 in time series.

  Moreover, in the data collection analysis system 10, the cancellation | release process is performed, and the monitoring operation | movement (warning mode) with respect to the measuring object 14 is once completed, and it becomes the operation | movement performance for 1 time. The next monitoring operation is started after the release process is completed. For this reason, the display fields 80a to 80e display the time when the abnormality occurred, the time of the release process, and the like.

  The screen display in FIG. 13 is performed as follows. After step S <b> 8, the control unit 58 requests the communication unit 50 of the analysis apparatus 22 to transmit history information and the like from the communication unit 56 via the wireless communication line 20 due to the operation of the display screen 70 by the parties concerned. When the communication unit 50 receives the transmission request, the control unit 48 of the analysis device 22 transmits the history information stored in the storage unit 54 from the communication unit 50 to the communication unit 56 of the portable device 24 via the wireless communication line 20. To do. The control unit 58 causes the display unit 60 to display the screen of FIG. 13 based on the received history information.

  In step S7 described above, the person concerned may activate other application software by operating the display screen 70. As described above, since the acceleration waveform in the three-axis direction collected by the analysis device 22 is big data, the activated application software can provide a service utilizing big data to related parties.

  Further, the determination unit 52 of the analysis device 22 can sequentially perform the processes of steps S3 and S4 on each acceleration waveform. Therefore, the control unit 58 of the portable device 24 requests the analysis device 22 to transmit history information every time a notification signal is notified from the analysis device 22, and is newly determined to be abnormal each time history information is received. The information on the measured object 14 may be displayed as a pop-up on the display screen 70.

[Effect of this embodiment]
As described above, according to the data collection and analysis system 10 and the data collection and analysis method according to the present embodiment, the detection result from each detection device 16 that detects the event of each measurement object 14 is obtained from the collection device 18 and the wireless communication. The data is collected in the analysis device 22 via the line 20, and the analysis device 22 determines whether or not each measurement object 14 is abnormal based on each detection result. Thereby, the detection results of all the detection devices 16 are collected in the analysis device 22, and the amount of data (each detection result) collected in the analysis device 22 is increased. It can be used to determine the presence or absence of 14 abnormalities.

  For example, even when some of the detection devices 16 have a malfunction such as a failure, and the detection results that are not normally possible are collected, the analysis device 22 refers to the detection results of other normal detection devices 16 so that the analysis device 22 It is possible to easily determine that the detection results of some of the detection devices 16 are detection results due to a malfunction.

  Therefore, according to the present embodiment, it is possible to easily and surely determine the presence / absence of each measurement object 14 based on each detection result, so that the presence / absence of the abnormality can be accurately determined. it can.

  In this case, each detection device 16 includes an acceleration sensor 28 that is attached to the measurement target 14 and detects acceleration according to vibration or impact as an event occurring in the measurement target 14. Thereby, the analysis device 22 acquires the acceleration as each detection result via the wireless communication line 20 and the collection device 18, and can accurately determine whether there is an abnormality in each measurement target 14 based on each acceleration. it can.

  In addition, each detection result is an acceleration waveform corresponding to vibration or impact generated in each measurement object 14, and the analysis device 22 determines whether there is an abnormality in each measurement object 14 based on the amplitude direction and / or period of each acceleration waveform. Is determined. Thereby, the analysis device 22 can acquire each acceleration waveform in real time via the wireless communication line 20 and the collection device 18. As a result, the amount of data collected by the analysis device 22 increases dramatically, so that the presence or absence of abnormality of each measurement object 14 can be determined with higher accuracy based on each acceleration waveform.

  Moreover, if the installation state of each detection device 16 (each acceleration sensor 28) with respect to each measurement object 14 is known in advance, the analysis device 22 measures the amplitude direction of the acceleration waveform, thereby measuring the force from which direction. It is possible to specify whether the vibration is generated in the object 14 or an impact.

  Furthermore, the analysis device 22 can identify the vibration or impact caused by a natural phenomenon such as an earthquake when the acceleration waveform has a relatively long period by examining the period of the acceleration waveform. On the other hand, when the acceleration waveform has a relatively short period, it can be identified that the vibration or impact is caused by a human motion.

  Each acceleration sensor 28 is a triaxial acceleration sensor, each detection device 16 and the collection device 18 are connected via a wireless PAN (BLE), and the collection device 18 and the analysis device 22 are wireless LAN (wireless communication). Connected via line 20). In addition, the determination unit 52 of the analysis device 22 has a machine learning function for learning a vibration or shock pattern, and based on the learned vibration or shock pattern and each acceleration waveform, whether there is an abnormality in each measurement target 14. Is determined.

  As a result, the amount of data per unit time of each detection result collected by the analysis device 22 increases dramatically. Therefore, by providing the discriminating unit 52 with a machine learning function, the discriminating unit 52 can more accurately determine whether each measurement object 14 is abnormal by using artificial intelligence. That is, the discriminating unit 52 learns various acceleration waveform patterns by analyzing each acceleration waveform obtained by sensing, and learns the learned patterns and the triaxial acceleration waveforms collected after learning. By comparing, it can be determined whether the acceleration waveform is due to a natural phenomenon or due to a human action.

  In addition, by appropriately updating the software stored in the storage unit 54 of the analysis device 22 as necessary, the discrimination processing for the acceleration waveform in the triaxial direction is performed without changing the hardware configuration of the data collection analysis system 10. Can be easily improved, and a new function can be installed. As a result, usability can be improved and the data collection and analysis system 10 can be evolved while suppressing the cost burden on the parties who are users of the data collection and analysis system 10.

  In addition, since the detection apparatus 16 can be attached to the measurement object 14 by sticking or the like and performs wireless communication with the collection apparatus 18, no wiring work is required. As a result, the detection device 16 and the collection device 18 can be easily installed in the monitoring target region 12.

  Then, the analysis device 22 transmits a notification signal for notifying the occurrence of the abnormality to the portable device 24 via the wireless communication line 20, and the portable device 24 displays the occurrence of the abnormality based on the received notification signal. By displaying on 60 (display screen 70), the occurrence of abnormality is notified to the outside. Thereby, when the related person of the monitoring object area | region 12 containing each measuring object 14 has the portable apparatus 24, the occurrence of abnormality can be notified to the related person promptly. As a result, the related person can take an appropriate response to the measurement object 14 such as communication with a service provider (for example, a security company) to which the present embodiment is applied. In addition, since the determination unit 52 accurately determines whether or not an abnormality has occurred, it is possible to prevent the occurrence of an erroneous notification on the display screen 70.

  In this case, the analysis device 22 transmits a notification signal including information on the measurement target 14 determined to be abnormal and the time when the abnormality has occurred to the portable device 24 via the wireless communication line 20. Thereby, the portable device 24 displays on the display screen 70 the measurement object 14 determined to be abnormal and the time when the abnormality occurred. Thereby, the person concerned can take a more appropriate response to the measurement object 14.

  The analysis device 22 transmits a notification signal to the collection device 18 via the wireless communication line 20, and the notification unit 46 of the collection device 18 notifies the occurrence of abnormality to the outside based on the received notification signal. Thereby, it is possible to warn a person (for example, an intruder who performs an intrusion operation with respect to the opening) who is performing any operation on the measurement target 14 such as an opening or a fixture through the notification unit 46. In addition, since the determination unit 52 of the analysis device 22 accurately determines whether or not an abnormality has occurred, it is possible to prevent the occurrence of an erroneous notification.

  Furthermore, the analysis device 22 includes a storage unit 54 that sequentially stores the determination result of the presence or absence of abnormality of each measurement object 14, and among the determination results stored in the storage unit 54, the determination result of the occurrence of abnormality The history information including the information on the measurement object 14 determined to be abnormal and the time when the abnormality occurred is transmitted to the portable device 24 via the wireless communication line 20. Thereby, the concerned person can confirm when the event according to the abnormality occurred in which measurement object 14 by referring to the history information displayed on the display unit 60.

  Further, by providing the history information stored in the storage unit 54 to the security company or the police, the security company or the police can easily and quickly specify the time when the event occurred by analyzing the history information. As a result, the security company or the police can take an appropriate response to the event.

  In addition, the portable device 24 transmits a release request signal for requesting release of the notification by the notification unit 46 to the analysis device 22 via the wireless communication line 20 based on an operation by the operator of the portable device 24. 22 transmits a cancellation instruction signal for instructing cancellation of notification to the collection device 18 via the wireless communication line 20 based on the received cancellation request signal. Thereby, when the abnormality of the measurement target 14 is resolved and the notification is no longer necessary, the notification operation by the notification unit 46 can be quickly released only by operating the portable device 24 by a related person.

[Modification of this embodiment]
In addition, in this embodiment, it is not limited to said description, The following structure and operation | movement are also possible.

  In the present embodiment, the analysis device 22 collects triaxial acceleration waveforms from all the detection devices 16 and accumulates them in the storage unit 54 as big data. Therefore, various services are provided using the big data. Is possible.

  That is, conventionally, a computer sequentially collects data detected by a plurality of sensors, and the collection side (computer) uses the sequentially collected data as big data. In this case, the side detected as data (the user as a contractor) cannot use the big data, or it cannot use it without browsing the big data.

  On the other hand, in the present embodiment, the presence or absence of abnormality of the measurement object 14 is determined using the acceleration waveform in the triaxial direction as big data, and the determination result and the like of the person concerned in the monitoring target region 12 are determined. The mobile device 24 is notified. That is, in this embodiment, information (discrimination result) using big data (acceleration waveform) is positively provided to users (related parties). In addition, in the present embodiment, the stored history information can be actively provided to the user by storing the determination result indicating the occurrence of abnormality in the storage unit 54 as the history information. Thereby, in this embodiment, it becomes possible to improve a user's convenience. A specific example of the usage pattern will be described below.

  For example, when an acceleration waveform that is clearly different from the normal acceleration waveform is acquired, information on the detection device 16 that has detected the different acceleration waveform is displayed on the display unit 60 of the portable device 24, thereby It is possible to urge the person in charge in the monitoring target area 12 that 16 maintenance or parts replacement is necessary.

  In addition, when various kinds of machines are measured 14 and the frequency of vibration generated in the machine is detected, when a frequency that is not normally possible is detected, maintenance of the machine and replacement of components (consumable parts) are performed. It is also possible to prompt the user.

  Furthermore, when there is a resident (family member of the person concerned) in the house that is the monitoring target area 12, it is possible to apply the data collection analysis system 10 to confirm the safety of the resident (watch function). In this case, during monitoring of the monitoring target region 12, even if a predetermined period (for example, 24 hours from the start of watching) elapses, there is no time change indicating vibration or impact in the acceleration waveforms of all the detection devices 16 (FIG. 4). Step S3: YES), for example, when there is no opening / closing of the toilet door or the refrigerator door as the measurement object 14, the display unit 60 of the portable device 24 may display as shown in FIG. 11 (step of FIG. 4). S4: YES, step S5).

  Thereby, it is possible to notify a related person (for example, a contractor of a service to which the data collection analysis system 10 is applied) that no vibration or impact has occurred in the measurement object 14 for a predetermined time. As a result, the person who has confirmed the display contents taps the icon 73 or 76 to call the designated contact or contact the service provider to access the monitoring target area 12. You can request a visit.

  In addition, since the data collection and analysis system 10 can monitor the measurement target 14 in real time, when a resident is present in the house that is the monitoring target region 12, a predetermined time has elapsed since the vibration of the door that is the measurement target 14 is detected. When it is done, it is possible to infer the movement range of the resident from the elapsed time. In this case, by displaying on the display unit 60 of the portable device 24 that there is a possibility that the resident is moving within the estimated movement range, the subscriber of the service to which the data collection and analysis system 10 is applied is notified. can do.

  Furthermore, when the measuring object 14 is a document storage box (corrugated cardboard case) in the office, the detection device 16 is attached to the storage box, and the detection device 16 generates an acceleration waveform corresponding to the vibration or shock of the storage box. If it is detected (step S3 in FIG. 4: YES), the fact that an abnormality has occurred in the storage box may be displayed on the display unit 60 of the portable device 24 (step S5 in FIG. 4). This facilitates management (room entry / exit management) of the room storing the storage box.

  Furthermore, since each detection device 16 is connected to the collection device 18 via radio, a notification unit having the same function as the notification unit 46 may be incorporated in each detection device 16. Thereby, when the communication unit 42 of the collection device 18 receives the notification signal, the communication unit 42 transfers the received notification signal to the communication unit 30 of the detection device 16, and the notification unit of the detection device 16 is transferred. Based on the notification signal, the occurrence of an abnormality in the measurement target 14 can be notified by light emission from the LED 32 or the like, or by sound output from a speaker or the like. Further, when the communication unit 42 of the collection device 18 receives the release instruction signal, the communication unit 42 transfers the received release instruction signal to the communication unit 30 of the detection device 16, and the notification unit of the detection device 16 is transferred. Based on the release instruction signal, the light emission can be stopped or the sound output can be stopped.

  Further, in the present embodiment, the measurement target 14 can be any measurement target 14 as long as it is a monitoring target within the monitoring target region 12 such as a building, land, or office. That is, a door inside the building, a fence at the boundary of the land, and the like can be the measurement object 14. Furthermore, the operation of the person causing the abnormality of the measurement object 14 is not limited to the entrance operation to the specific place by the intruder or the resident, but the specific operation such as the opening or closing of the window or door by the intruder or the resident Even if it does not enter the place, it can be an object of operation.

  Furthermore, in this embodiment, the case where the acceleration according to the vibration or impact which generate | occur | produces in the measuring object 14 was detected with the acceleration sensor 28 incorporated in the detection apparatus 16 was demonstrated as an example. In the present embodiment, any sensor can be incorporated in the detection device 16 as long as it can detect an event occurring in the measurement object 14. In this case, the analysis device 22 acquires the detection result of the sensor built in each detection device 16 via the collection device 18 and the wireless communication line 20, and the abnormality of each measurement object 14 based on the acquired detection result. It is possible to determine whether or not.

  Note that the present invention is not limited to the above-described embodiment, and it is needless to say that various configurations can be adopted without departing from the gist of the present invention.

Claims (7)

A detection device (16) for detecting an event occurring in the measurement object (14);
A collection device (18) connected to a plurality of the detection devices (16) via radio and collecting the detection results of the detection devices (16);
It is connected to the collection device (18) via a wireless communication line (20), acquires the detection results from the collection device (18), and a plurality of measurement objects (14 based on the acquired detection results ) And an analysis device (22) for determining whether there is an abnormality,
Have
The analysis device (22) transmits a notification signal notifying the occurrence of the abnormality to an external portable device (24) and the collection device (18) via the wireless communication line (20),
The portable device (24) notifies the occurrence of the abnormality to the outside based on the received notification signal,
The collection device (18) includes a notification unit (46) that notifies the occurrence of the abnormality to the outside based on the received notification signal,
The analysis device (22) includes a storage unit (54) that sequentially stores the determination result of the presence or absence of abnormality of each measurement target (14), and among the determination results stored in the storage unit (54) The history information including the determination result indicating the occurrence of the abnormality, the information of the measurement object (14) determined to be the abnormality, and the time when the abnormality occurred is transmitted via the wireless communication line (20). A data collection and analysis system (10) characterized by being transmitted to a portable device (24). The data collection and analysis system (10) according to claim 1,
Each of the detection devices (16) is attached to the measurement object (14) and detects an acceleration corresponding to vibration or impact as the event occurring in the measurement object (14). 28) A data collection and analysis system (10) comprising: In the data collection and analysis system (10) according to claim 2,
Each detection result is an acceleration waveform corresponding to vibration or impact generated in each measurement object (14),
The data collection and analysis system (10), wherein the analysis device (22) determines whether or not each measurement object (14) is abnormal based on an amplitude direction and / or a period of each acceleration waveform. In the data collection and analysis system (10) according to claim 3,
Each acceleration sensor (28) is a triaxial acceleration sensor,
Each detection device (16) and the collection device (18) are connected via a wireless PAN,
The collection device (18) and the analysis device (22) are connected via a wireless LAN (20),
The analysis device (22) has a learning function for learning the vibration or shock pattern, and the measurement target (14) based on the learned vibration or shock pattern and each acceleration waveform. A data collection and analysis system (10) characterized by determining the presence or absence of abnormalities. In the data collection and analysis system (10) according to any one of claims 1 to 4,
The analysis device (22) is configured to detect the abnormality when a vibration or impact that is not normally possible occurs in the measurement target (14) or when a vibration or shock that may occur in the normal time does not occur in the measurement target (14). A data collection and analysis system (10) characterized in that it is determined that an error has occurred. In the data collection and analysis system (10) according to any one of claims 1 to 5,
The analysis device (22) sends the notification signal including information on the measurement target (14) determined to be abnormal and the time when the abnormality has occurred to the portable device (20) via the wireless communication line (20). 24) A data collection and analysis system (10), In the data collection and analysis system (10) according to any one of claims 1 to 5 and 7,
The portable device (24) releases the notification by the notification unit (46) to the analysis device (22) via the wireless communication line (20) based on an operation by an operator of the portable device (24). Send a cancellation request signal to request
The analysis device (22) transmits a release instruction signal instructing release of the notification to the collection device (18) via the wireless communication line (20) based on the received release request signal. A data collection and analysis system (10) characterized by

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