TWI670692B - System and method for data collection and analysis and program therefor - Google Patents

Abstract

The data collection and analysis system (10) has a detection device (16) that detects an event occurring in the measurement target (14), and a collection device (18) that is connected to the plurality of detection devices (16) via infinity. And collecting the detection result of each detection device (16); and analyzing device (22) connected to the collection device (18) via the wireless communication line (20), and obtaining the detection results from the collection device (18), according to the acquisition Each of the detection results determines whether or not the abnormality of each measurement target (14) is different.

Description

Data collection and analysis system, data collection and analysis method and program

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

In the case where the measurement object is abnormal, the monitoring result is notified, for example, in Japanese Laid-Open Patent Publication No. 2010-198451 and JP-A-2013-125469.

Japanese Laid-Open Patent Publication No. 2010-198451 discloses that one mobile phone is operated in a dangerous area, and when the security alarm is activated, it does not pass through the Internet or a server, etc., for the mobile phone with the one. Other mobile phones that establish communication, use short-range wireless communication to send information on the prevention of crimes in dangerous areas.

In the opening abnormality detecting device provided in the vicinity of the opening of the building, the intrusion operation of the intruder is detected, and the control device determines the occurrence of the abnormality of the opening. The presence or absence of a signal to notify the monitoring device installed in the security company via the communication network is abnormal.

However, when the presence or absence of the abnormality of the measurement target is determined based on the detection result of the detection device that detects the phenomenon of the measurement target, it may be difficult to determine. In addition, the object to be measured is a target to be monitored, such as a window or a door opening of a building, a land boundary (a wall existing), and a public institution. A safe deposit box (corrugated box) for everyday utensils or documents. In addition, the abnormality of the measurement target means (1) vibration or rushing (image) which is usually impossible to occur in the monitoring target area, or (2) vibration or rush that can be generated at ordinary times (event ) The situation does not occur in the measurement target during monitoring. Examples of (1) include natural phenomena such as human actions (for example, intrusion of an intruder into an opening), natural phenomena such as earthquakes and winds, and vibrations or rushing which are generally impossible occur in a measurement target. On the other hand, as an example of (2), when there is a person in the construction (for example, a resident of a building), during the monitoring, even if the predetermined time passes, the vibration or the rush of the door does not occur as the door of the person opens and closes. Happening.

Here, it is specifically described that it is difficult to determine the presence or absence of an abnormality. In order to detect an abnormality of the measurement target such as the opening or the daily tool, and to provide a magnetic gas type proximity switch to the measurement target, two passive bodies (for example, two windows constituting the double sliding window) that are to be measured are fixed or fixed. One of the objects and the passive body (such as a table and its drawer) is equipped with a permanent magnet of the proximity switch, The detection element of the proximity switch is configured on the other side.

However, when the permanent magnet is separated from the detecting element or when the permanent magnet and the detecting element are displaced, it is difficult to determine the presence or absence of the abnormality of the measurement target based on the detection result of the proximity switch.

Further, when the measurement target has a dynamic change such as a predetermined value or more, only the detection result cannot be determined whether the dynamic change due to the natural phenomenon or the dynamic change due to the human motion. If it is near the measurement target or the detection device, it is considered that such a dynamic change can be discriminated. However, if the occurrence of the dynamic change is not noticed, it is impossible to specify when the event corresponding to such a dynamic change occurs.

In view of the above-described problems, the present invention provides a data collection and analysis system that can easily and surely determine the presence or absence of an abnormality of a measurement target based on the detection result of the detection device that detects the event occurring in the measurement target. Data collection analysis methods and programs are for the purpose.

In order to achieve the above object, the data collection and analysis system of the present invention has a detection device, a collection device, and a analysis device. The detection device detects an event occurring in the measurement target. The collecting device is connected to a plurality of the detecting devices via wireless, and collects the detection results of the respective detecting devices. The analysis device is connected to the collection device via a wireless communication line, and the detection results are obtained from the collection device, and the presence or absence of an abnormality of the plurality of measurement targets is determined based on the acquired detection results.

Further, the data collection and analysis method of the present invention has the first to third steps. In the first step, the detection device detects that the measurement takes place in the measurement. The object of the object. In the second step described above, the detection results of the respective detection devices are collected by a collection device connected to the plurality of detection devices via wireless. In the third step, the analysis device connected to the collection device via the wireless communication line acquires the detection results from the collection device, and determines whether or not the abnormality of the plurality of measurement targets is determined based on the acquired detection results. .

Further, in the program of the present invention, when the detection device detects a phenomenon occurring in the measurement target and collects the detection result of each of the detection devices by a collection device connected to the plurality of detection devices via wireless, The computer connected to the collection device of the wireless communication line functions as an analysis device, and the detection results are obtained from the collection device, and the presence or absence of an abnormality of the plurality of measurement targets is determined based on the acquired detection results.

According to the invention, the detection results of the respective detection devices that detect the events of the respective measurement targets are collected in the analysis device via the collection device and the wireless communication line, and the analysis device is based on the detection results. The presence or absence of the abnormality of each of the above-described measurement targets is determined. As a result, the detection results of all the detection devices are collected in the analysis device, and the amount of data collected in the analysis device (the respective detection results) is increased. Therefore, the detection results can be used as big data (Big data). It is determined by the presence or absence of the abnormality of each of the above-described measurement targets.

For example, even when a state in which a part of the detecting device is faulty or the like is unsatisfactory, when the generally impossible detection result is collected, the analysis device can be easily judged by referring to the detection result of the normal other detecting device. The detection result of the detecting device that has broken the portion is a result of the detection due to the poor state described above.

Therefore, according to the present invention, it is possible to easily and surely determine the presence or absence of an abnormality of each of the measurement targets based on the respective detection results. Therefore, the presence or absence of the abnormality can be accurately determined.

Here, it is preferable that each of the detecting devices includes an acceleration sensor that is attached to the measurement target and detects an acceleration corresponding to vibration or rush of the event occurring as the measurement target. In the analysis device, the acceleration as the detection result can be obtained via the wireless communication line and the collection device, and the presence or absence of the abnormality of each measurement target can be accurately determined based on the acceleration.

In this case, it is preferable that each of the detection results is an acceleration waveform corresponding to the vibration or the rush generated in each of the measurement targets, and the analysis device determines the abnormality of each of the measurement targets based on the amplitude direction and/or the period of each of the acceleration waveforms. Whether there is.

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 is rapidly increased. Therefore, it is possible to more accurately determine the presence or absence of the abnormality of each of the measurement targets based on the respective acceleration waveforms.

Further, as long as the installation state of each of the detection devices (the respective acceleration sensors) of each of the measurement targets is known in advance, the analysis device can specify which direction to take by investigating the amplitude direction of the acceleration waveform. The force generated by the vibration or rush of the aforementioned measurement object Hey.

Further, in the analysis device, by investigating the period of the acceleration waveform, when comparing the acceleration waveform of a long period, it is possible to specify vibration or rush due to a natural phenomenon such as an earthquake, and when comparing the acceleration waveform of a short period. It can be specific to the vibration or rush of the human action.

Further, 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 via a wireless LAN (Local The analysis device is a learning function that has a pattern for learning the vibration or the rush, and determines the presence or absence of an abnormality of each of the measurement targets based on the learned vibration or the pattern of the rush and the acceleration waveform.

As a result, the amount of data per unit time of each of the aforementioned detection results collected by the analysis device increases sharply. Then, by providing the analysis device with the learning function, the analysis device can accurately determine the presence or absence of the abnormality of each of the measurement targets by using the artificial intelligence.

In this case, the analysis device may determine that the abnormality is generated when vibration or rushing which is not normally generated occurs in the measurement target, or when vibration or pulsation which may occur in a normal state does not occur in the measurement target.

Further, in the present invention, the analysis device transmits a notification signal for notifying the occurrence of the abnormality to the external portable device via the wireless communication line, and the portable device can also notify the external device based on the received notification signal. The aforementioned abnormality occurred. Thereby, when the person who includes the monitoring target area of each of the measurement targets carries the portable device, The relationship can be quickly notified of the occurrence of the aforementioned abnormality. As a result, the aforementioned relationship can obtain an appropriate correspondence with the measurement target such as a provider (for example, a security company) that contacts the service to which the present invention is applied.

In this case, it is preferable that the analysis device transmits, to the portable device, the information including the measurement target that is determined to be abnormal and the notification signal at the time when the abnormality occurs, via the wireless communication line. In this way, since the portable device is a measurement target that is determined to be abnormal by external notification and a time at which the abnormality occurs, the related person can take a more appropriate correspondence with the measurement target.

Further, it is preferable that the analysis device transmits the notification signal to the collection device via the wireless communication line, and the collection device includes a notification unit that notifies the external occurrence of the abnormality based on the received notification signal. Thereby, the person who performs some operation on the measurement target (for example, an intruder who invades the opening of the building) can be warned via the notification unit.

Furthermore, it is preferable that the analysis device includes a memory unit that sequentially records the determination result of the abnormality of each of the measurement targets, and transmits the history information to the portable device via the wireless communication line, and the history information includes: Among the above-described respective determination results of the memory unit, the determination result of the occurrence of the abnormality, the information of the measurement target determined as the abnormality, and the time at which the abnormality occurs are displayed. Thereby, by referring to the history information, it is possible to confirm when the event corresponding to the abnormality occurs at which measurement target.

Moreover, it is preferable that the aforementioned portable machine is operated according to the portable machine The operation of transmitting, by the wireless communication line, the release request signal requesting the notification of the notification by the notification unit, wherein the analysis device transmits the cancellation device via the wireless communication line based on the received cancellation request signal. A release instruction signal indicating the release of the aforementioned notification is transmitted. Thereby, the abnormality of the measurement target is canceled, and when the notification is not required, only the operator (the person in the monitoring target area) operates the portable device, and the notification operation of the notification unit can be quickly performed. Lifted.

The above objects, features and advantages are apparent from the description of the embodiments described below with reference to the drawings.

10‧‧‧Data collection and analysis system

12‧‧‧Target area of surveillance

14‧‧‧Measurement object

16‧‧‧Detection device

18‧‧‧Collection device

20‧‧‧Wireless communication lines

22‧‧‧Resolving device

24‧‧‧ portable machine

26‧‧‧Window glass

28‧‧‧Acceleration sensor

30, 42, 50, 56‧‧ Department of Communications

32‧‧‧LED

34‧‧‧ socket

36‧‧‧ plug

38‧‧‧ switch

40‧‧‧Power Department

44, 48, 58‧ ‧ Control Department

46‧‧

52‧‧‧Discrimination Department

54‧‧‧Memory Department

60‧‧‧Display Department

62‧‧‧Operation Department

70‧‧‧Display screen

72, 80a~80e‧‧‧ display bar

73~77‧‧‧ icon

Fig. 1 is a block diagram showing a data collection and analysis system of the embodiment.

2 is a block diagram of the detecting device, the collecting device, the analyzing device, and the portable device of FIG. 1.

3A is an external perspective view of the detecting device of FIGS. 1 and 2, and FIG. 3B is an external perspective view of the collecting device of FIGS. 1 and 2.

Fig. 4 is a flow chart showing the operation of the data collection and analysis system of Fig. 1;

FIG. 5 is a timing chart showing an example of an acceleration waveform at the time of an earthquake.

Fig. 6 is a timing chart showing an example of an acceleration waveform corresponding to vibration or spur generated in a double sliding window.

Fig. 7 is a timing chart showing an example of an acceleration waveform corresponding to vibration or rush generated in a drawer.

Fig. 8 is a timing chart showing an example of an acceleration waveform corresponding to vibration or punch generated in a cabinet.

Fig. 9 is a timing chart showing an example of an acceleration waveform corresponding to vibration or rush generated in a cabinet.

10A and 10B are explanatory views showing an example of a display screen of the portable device.

11 is an explanatory diagram showing an example of a display screen of a portable device.

FIG. 12 is an explanatory diagram showing an example of a display screen of the portable device.

FIG. 13 is an explanatory diagram showing an example of a display screen of the 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 and analysis system 10 is applied to a monitoring target area 12 such as a house, a land, or a business unit such as a house, for example, an opening such as a window or a door of a building, a boundary of a land (a wall existing), and a business unit. In the case of the measurement target 14 to be monitored, such as the storage device (corrugated box) of the daily use tool or the document, the operation of the person to be measured 14 (for example, the intrusion operation of the invader of the measurement target 14) is monitored or guarded. Service. That is, the data collection and analysis system 10 is applicable to a security company, etc. The service provider monitors the object 12 for monitoring or policing services.

The data collection and analysis system 10 includes a plurality of detection devices 16 that are respectively attached to a plurality of measurement targets 14 in the monitoring target area 12, and a collection device 18 that is wirelessly connected to each detection device 16; Device 22 is coupled to collection device 18 via wireless communication line 20.

The wireless communication line 20 is a portable device 24 held by a person (operator) of the monitoring target area 12 such as a resident or a manager of a business unit. Further, when the material collection and analysis system 10 is applied to the monitoring or guarding of the monitoring target area 12 of the security company, the above-mentioned relationship is preferably a contractor of the service to be monitored or guarded.

Here, the case where the monitoring target area 12 is a house and the measurement target 14 is a connection portion such as a double sliding window or a door to the outside of the house will be described as an example. Moreover, the data collection and analysis system 10 is capable of transmitting and receiving signals for wireless communication between the plurality of detection devices 16 and the collection device 18, and can perform wireless communication between the collection device 18 and the analysis device 22 via the wireless communication line 20. In the state in which the signal is transmitted and received, monitoring of the monitoring target area 12 (measurement target 14) is performed.

Each of the detecting devices 16 is formed in a thin rectangular shape as shown in FIG. 3A. For example, when the measuring object 14 is a double sliding window, it is attached to the window glass 26 constituting the double sliding window by being stuck, adhered or attached. Inside or outside the house Corner. Each of the detecting devices 16 includes an acceleration sensor 28, a communication unit 30, and an LED (Light Emitting Diode) 32 as shown in FIG.

The acceleration sensor 28 is a three-axis acceleration sensor that sequentially detects accelerations in three-axis directions (three-dimensional directions) corresponding to vibrations or impulses (images) generated in the measurement window 14 (window 26).

As shown in FIG. 3A, when the position of the acceleration sensor 28 is taken as the origin O, the outer side of the home is defined as the +Z direction and the inner side of the house is defined as the -Z direction. Further, the upper side is defined as the +Y direction from the origin O, and the lower side is defined as the -Y direction. Further, when the detecting device 16 is viewed from the outside, the right side is defined as the +X direction, and the left side is defined as the -X direction, or when the detecting device 16 is viewed from the inside, the left side is defined more than the origin O. It is in the +X direction and the right side is defined as the -X direction.

Therefore, the three-axis 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 addition, in the following description, the acceleration sensor 28 is a case where the detection device 16 is attached from the outside of the measurement target 14 (the window glass 26) or the detection device 16 is attached from the inside of the measurement target 14 The three-axis directions of the origin O in the X direction, the Y direction, and the Z direction are the directions shown in FIG. 3A.

The communication unit 30 of FIG. 2 transmits and receives a signal of wireless communication of BLE (Bluetooth Low Energy; Bluetooth registered trademark) using a wireless PAN between the collection device 18. Therefore, the communication unit 30 is wirelessly connected by a predetermined time interval (for example, about 90 times/s to 100 times/s). The signal of the acceleration in the three-axis direction successively detected by the acceleration sensor 28 is transmitted to the collecting device 18. In this case, the communication unit 30 transmits the detection timing of the acceleration of the acceleration sensor 28 to the collecting device 18 together with the signal of the acceleration in the three-axis direction together with a clock function (not shown). In addition, the communication unit 30 can receive signals from the collection device 18 at predetermined time intervals.

The LED 32 is an indicator that is disposed in front of the detecting device 16 and that lights up during the operation of the detecting device 16.

The collecting device 18 is formed into a block shape as shown in Fig. 3B, and a plug 36 which is insertable to the socket 34 is provided on the back side thereof. Also, on the side of the collection device 18 is provided a switch 38 for pairing between the wireless communication line 20 between the collection device 18 and the analysis device 22 or a pairing between the collection device 18 and each detection device 16 or The release of the pairing.

In addition to the plug 36 and the switch 38 described above, the collecting 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. 2 .

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

The communication unit 42 transmits and receives signals to and from the communication unit 30 of the plurality of detection devices 16 via a wireless PAN such as BLE, and is via Wi-Fi (Wireless Fidelity; Wi-Fi is a registered trademark). The wireless communication line 20 of the wireless LAN or the like performs transmission and reception of signals for wireless communication with the analysis device 22.

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

Further, the collecting device 18 functions as a relay device or a gateway that relays signals between the plurality of detecting devices 16 and the analyzing device 22. In other words, the communication unit 42 receives and collects the signals of the accelerations in the three-axis direction and the accelerations of the acceleration signals transmitted from the plurality of detection devices 16 in the communication range of the BLE at predetermined time intervals as the acceleration waveforms in the three-axis direction. The collected acceleration waveforms are transmitted (transferred) 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. Further, the communication unit 42 is a communication unit 30 that can transfer the signal received from the analysis device 22 to the detection device 16.

The control unit 44 controls each unit in the collection device 18. The notification unit 46 is a display unit or a speaker such as an LED, and emits light or outputs sound in accordance with control from the control unit 44. In addition, in FIG. 3B, the case where the notification part 46 is an LED is shown.

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 executes the software (program) of the memory unit 54 that is stored in the non-transitory recording medium, and functions as the analysis device 22 to perform the functions of the control unit 48, the communication unit 50, and the determination unit 52. In addition, this software (according to the algorithm of this software) is updated as needed.

Here, each part of the analysis device 22 will be described in detail. Control unit 48 is Each unit in the analysis device 22 is controlled.

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. Thereby, the communication unit 50 can receive the acceleration waveforms from the respective detection devices 16 in the three-axis direction from the collection device 18 via the wireless communication line 20.

The determination unit 52 determines the presence or absence of an abnormality of each measurement target 14 to which each detection device 16 is attached, based on each acceleration waveform received by the communication unit 50. In this case, the determination unit 52 determines the presence or absence of an abnormality of each measurement target 14 based on the amplitude direction and/or the period of each acceleration waveform. In addition, the abnormality of the measurement target 14 means (1) the case where the monitoring target area 12 is monitored, the vibration or the flush (the phenomenon) which is generally impossible is generated in the measurement target 14, or (2) the normal measurement. The vibration or the rush (image) does not occur at all in the measurement target 14 during the monitoring. The case of (1) is a natural phenomenon such as an action by a person (for example, an intrusion of an intruder on an opening), or a natural phenomenon such as an earthquake or a wind, and vibration or flushing which is generally impossible occurs in the measurement target 14. On the other hand, as an example of (2), when there is a person in the building (for example, a resident of a building), during the monitoring, even if the predetermined time passes, the door does not vibrate or rush as the door of the person opens and closes. .

Further, the determination unit 52 is an artificial intelligence having a mechanical learning function for learning the vibration or the rushing pattern generated by the measurement target 14, and can determine each of the acceleration waveforms of the vibration or the pattern of the learning and the acceleration waveforms actually collected. The presence or absence of an abnormality of the object 14 is measured. In other words, the determination unit 52 performs acceleration waveforms by analyzing the acceleration waveforms obtained by the sensing. The mechanical learning of the pattern can be determined by comparing the learned pattern with the acceleration waveform of the three-axis direction collected after learning, according to the natural phenomenon or the artificial action.

Further, the determination unit 52 records the determination result in the memory unit 54 one by one for each determination process. In this case, the determination unit 52 records the history information including the determination result of the occurrence of the abnormality in the memory unit 54.

The portable device 24 is a portable device such as a smart phone held by a person in charge of 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 portable device 24. The display unit 60 displays various kinds of information in accordance with the control of the control unit 58. The operation unit 62 is a touch panel or the like operated by a person.

Further, the data collection and analysis system 10 of the present embodiment is applied to the cloud service, and the cloud computer on the Internet has the function as the analysis device 22. As described above, the acceleration waveform in the three-axis direction is sequentially transmitted from the respective detecting devices 16 to the analyzing device 22 via the collecting device 18 and the wireless communication line 20. Therefore, the analyzing device 22 analyzes (analyzes) the large amount of data. The acceleration waveform of the data determines the presence or absence of an abnormality of each measurement target 14.

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

Further, 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 displays the abnormality in the measurement target 14 on the display unit 60 based on the notification signal.

Further, the memory unit 54 stores therein the information indicating the determination result of the occurrence of the abnormality, the information of the measurement target 14 determined to be abnormal, and the history information of the time at which the abnormality occurred. Then, the control unit 48 is a communication unit 56 that can transmit the history information from the communication unit 50 via the wireless communication line 20 to the portable device 24. When the communication unit 56 receives the history information, the control unit 58 of the portable device 24 displays the history information on the display unit 60.

When the relationship between the display contents of the display unit 60 of the portable device 24 is confirmed, the operation unit 62 is operated, and when the notification of the notification unit 46 is released, the control unit 58 requests the communication unit 56 via the wireless communication line 20. The release request signal for the release of the notification is transmitted to the communication unit 50 of the analysis device 22. When the communication unit 50 receives the release request signal, the control unit 48 transmits a release instruction signal for canceling the notification of the notification from the communication unit 50 via the wireless communication line 20 to the collection device 18. When the communication unit 42 receives the release instruction signal, the control unit 44 of the collection device 18 stops the output of the light emission or the sound of the notification unit 46 based on the release instruction signal.

[Operation of this embodiment]

Next, the operation (data collection and analysis method) of the data collection and analysis system 10 of the present embodiment will be described with reference to Figs. 4 to 13 . In the description of the operation, the description will be made with reference to FIGS. 1 to 3B as needed. Here, the data collection and analysis system 10 is applied to the monitoring (guard) service of the monitoring target area 12, and in the monitoring of the monitoring target area 12, the person performs certain actions on the measurement target 14 (for example, the intruder's pair) The case of the opening and closing operation of the opening of a window or the like).

In this case, in the monitoring target area 12, the plug 36 of the pre-collection device 18 is inserted into the socket 34. Thereby, the power supply unit 40 converts the AC power supplied from the outlet 34 via the plug 36 into DC power, and supplies it to each unit in the collection device 18. Further, by the relationship of the monitoring target area 12 pressing the switch 38, the communication unit 42 can be paired with the analysis device 22 via the wireless communication line 20. Further, the communication unit 42 can perform pairing with the communication unit 30 of the plurality of detection devices 16 disposed in the monitoring target area 12.

In this case, the entire monitoring target area 12 is set as the communication range of the wireless PAN such as the BLE of the communication unit 42. Thereby, the data collection and analysis system 10 is in a state (alert mode) in which each measurement target 14 of the monitoring target area 12 is monitored. After the transition to the alert mode, the relationship of the monitoring target area 12 is, for example, a place that can be moved to leave the monitoring target area 12.

In step S1 (first step) of FIG. 4, the acceleration sensor 28 of each detecting device 16 detects accelerations in the three-axis directions in the X direction, the Y direction, and the Z direction, respectively. Each communication unit 30 is wireless by a wireless PAN such as BLE In the communication, the signals of the acceleration in the three-dimensional direction and the detection timings of the accelerations which are successively detected are sequentially transmitted to the communication unit 42 of the collecting device 18 at predetermined time intervals.

In step S2 (second step), the communication unit 42 of the collecting device 18 sequentially receives the signals of the acceleration in the three-axis direction transmitted from the communication unit 30 of all the detecting devices 16 in the communication range of the wireless PAN at predetermined time intervals. The detection time of the acceleration is transmitted to the analysis device 22 via the wireless communication line 20 by using the received signals and the detection time as acceleration waveforms in the three-axis direction.

5 to 9 are examples showing an acceleration waveform in the three-axis direction.

FIG. 5 is an acceleration waveform in the three-axis direction when vibration or pulsation occurs in the measurement target 14 due to an earthquake.

6 is a view showing that when the measurement target 14 is a double sliding window, a person (for example, an intruder) knocks out the window from the outside, and then in the double sliding window, the left side window is slid to the right direction from the outside (from the inside of the house to the right side). The acceleration waveform in the three-axis direction when the window is slid to the left direction.

Fig. 7 is a view showing an acceleration waveform in a three-axis direction when the intruder forcibly pulls out the drawer when the measurement target 14 is a drawer of a table.

8 and 9 are acceleration waveforms in the three-axis direction when the invaders forcibly slide the cabinet from right to left when viewed from the outside when the measurement target 14 is a cabinet.

In step S3 (third step), the communication unit 50 of the analysis device 22 receives and collects (accelerates) the acceleration waveforms in the three-axis direction of all (the acceleration sensors 28) of the detection device 16 via the wireless communication line 20. Collected The acceleration waveform in the three-axis direction is memorized in the memory unit 54.

The determination unit 52 determines whether or not an abnormal vibration or flush occurs in the measurement target 14 in the monitoring target region 12 based on the collected acceleration waveform in the three-axis direction.

When it is determined that the vibration or the rush has not occurred abnormally (step S3: NO), the determination unit 52 stores the determination result in the memory unit 54, and repeats the processing of step S3 for the next acceleration waveform.

On the other hand, when it is determined that the vibration or the pulsation of the abnormality has occurred (step S3: YES), the determination unit 52 records the result of the determination in the memory unit 54, and the measurement target 14 that is determined to be abnormal by the determination result is The information and the time when the abnormality occurred are stored in the memory unit 54 as history information. Then, in the next step S4, the determination unit 52 determines whether or not an abnormality should be reported to the collection device 18 and the portable device 24 based on the determination result.

Even if the abnormal vibration or the result of the discrimination is displayed, it is not necessary to report (step S4: NO), the determination unit 52 returns to step S3, and the processing of step S3 is repeated for the subsequent acceleration waveform.

On the other hand, when it is determined that the notification is to be notified (step S4: YES), the determination unit 52 notifies the control unit 48 that the notification to the collection device 18 and the portable device 24 is necessary. Thereby, the control unit 48 can execute the notification processing of step S5.

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

The three-axis acceleration sensor 28 is related to the three-axis direction (three-dimensional direction), and the acceleration can be measured in the + direction and the - direction. So just know that right In the mounted state of the detection device 16 (the acceleration sensor 28) of the measurement target 14, it is possible to easily distinguish which direction of vibration or punching is applied to the measurement target 14 from the acceleration waveform in the three-axis direction.

Further, the acceleration waveform in the three-axis direction can be roughly distinguished from the growth period waveform and the short period waveform by the magnitude and time of vibration or punching. Thereby, even in the case of an abnormal vibration or a rushing acceleration waveform, it is possible to distinguish a long-period waveform of vibration or rush caused by a natural phenomenon such as an earthquake or a wind, or a motion caused by a person (intrusion of an intruder) Short period waveform.

Then, the determination unit 52 can determine whether or not the abnormal vibration or the occurrence of the rush occurs based on the above-described determination criterion (step S3), and can determine whether or not it is necessary to notify (step S4). Specifically, the determination unit 52 may perform the following processing (first to third processing).

(1) First treatment

The first process is the process related to step S3.

As described above, the three-axis acceleration sensor 28 is related to the X direction, the Y direction, and the Z direction, and the acceleration can be measured in the + direction and the - direction. For example, the double sliding window is seen from the inside of the house, and among the two windows (the window glass 26), the detecting device 16 is attached to the left upper portion (the corner portion in the +X direction and the +Y direction) of the left side window.

Here, at the time points t1 and t2 of FIG. 6, when the intruder knocks the window on the left side from the outside, the double sliding window is conveyed in the -Z direction. Thereby, the double sliding window is moved in the -Z direction, and the acceleration sensor 28 detects the vibration as - Acceleration in the Z direction. Therefore, the acceleration waveform in the Z direction corresponding to the punch (vibration) at the time points t1 and t2 is a waveform which starts from the swing in the downward direction (-Z direction) of FIG.

In addition, when knocking the window on the left side from the inside, the double sliding window is conveyed in the +Z direction, and the double sliding window is vibrated in the +Z direction. To this end, the acceleration sensor 28 detects the vibration as an acceleration in the +Z direction. Therefore, the acceleration waveform at this time is a waveform that starts from the swing in the upward direction (+Z direction) of FIG.

Therefore, in the first processing, the acceleration waveform in the Z direction is started by the specific direction of the swing, and the measurement target 14 such as the double sliding window can be easily determined to be external (outdoor) or internal (indoor). Which direction of the flushing? The determination unit 52 can easily determine whether or not the acceleration waveform of the vibration or the rush due to the abnormality of the intrusion operation of the intruder is displayed.

(2) Second processing

Similarly to the first process, the second process relates to the process of step S3.

For example, the double sliding window is seen from the inside of the house, and among the two windows, the detecting device 16 is attached to the upper right side (the corner portion in the -X direction and the +Y direction) of the right side window. In this case, at the time point t3 of FIG. 6, once the window on the right side is opened to the left side by the intruder or the like, the window on the right side is conveyed in the +X direction, and the window on the right side is vibrated in the +X direction. The acceleration sensor 28 detects the vibration as an acceleration in the +X direction. Therefore, the acceleration waveform corresponding to the X direction of the punch (vibration) at the time point t3 is as shown in FIG. 6 The waveform of the start of the swing in the up direction (+X direction).

On the other hand, in the double sliding window in the first process, when the window on the left side is opened to the right side by the intruder or the like, the window on the left side is conveyed in the -X direction, and the left side is conveyed. The window is vibrating in the -X direction. The acceleration sensor 28 detects the vibration as the acceleration in the -X direction. Therefore, the acceleration waveform in the X direction corresponding to this punch (vibration) is a waveform that starts from the swing in the downward direction (-X direction) of FIG. 6 .

In the second processing, it is possible to easily determine which direction the measurement target 14 such as the double sliding window is moving to the right or left side from the inside of the room, by the specific direction of the acceleration of the acceleration waveform in the X direction. Rushing. In addition, in the description of the second process, the description will be made based on the case of looking inside the house. However, the same result is naturally formed on the basis of the case of looking out from the outside.

(3) Third processing

The third process is the process related to step S4.

The vibration or the pulsation caused by the natural phenomenon, for example, the ground motion (earthquake) is a long-cycle vibration that causes the measurement target 14 to be oscillated while continuously vibrating in the three-axis direction for a long period of time. When the acceleration sensor 28 detects the acceleration in the three-axis direction corresponding to such long-period vibration, as shown in FIG. 5, the acceleration waveform is a long-period waveform corresponding to the long-period vibration.

Further, when the vibration sensor or the smashing of the measurement target 14 caused by the direct earthquake is measured by the acceleration sensor 28, the vibration or the rush can be obtained. Instantaneous acceleration waveform. However, such an acceleration waveform also becomes a long-period waveform for a relatively long time.

On the other hand, in the case of artificial vibration or flushing such as an intruder's intrusion operation, even if the measurement target 14 instantaneously vibrates or burns, it will be as shown in FIG. 6. The acceleration waveform corresponding to the vibration or the rush is measured as a short period waveform.

That is, the vibration or the rush generated by the measurement object 14 due to the natural phenomenon and the vibration or the rush of the person opening the window or the door of the measurement object 14 are different from each other in frequency. Further, the vibration or the punching when the person hits the window glass 26 of the measuring object 14 and the vibration or the punching when the window glass 26 is broken are also different in frequency.

Therefore, the determination unit 52 can recognize the waveform in which the acceleration waveform in the three-axis direction is a waveform due to a natural phenomenon or a waveform due to artificial vibration or punching, focusing on points having different frequencies (periods).

Similarly, regarding the irregular vibration or the pulsation or the periodic vibration or the rush which is caused by the wind, and the short-period waveform which causes the vibration or the rush to be instantaneously changed, the determination unit 52 can be based on the cause The vibration waveform of the vibration or the rushing is used for the discrimination processing.

In other words, in the third processing, when it is determined that the abnormal vibration or the flushing is performed in step S3 (step S3: YES), in step S4, it can be easily determined that the result of the determination in step S3 is caused by a natural phenomenon or caused by Human movements (intrusion movements of intruders). As a result, it can be easily discriminated that, if it is vibration or flushing due to a natural phenomenon, it is not necessary to notify the detecting device 16, the collecting device 18, and the portable device 24 (step S4: NO), on the other hand, In the case of vibration or flushing due to the intrusion of the intruder, the detecting device 16, the collecting device 18, and the portable device 24 are notified (step S4: YES).

In other words, even if it is abnormal vibration or squeaking, the determination unit 52 determines that the detection device 16, the collection device 18, and the portable device 24 are not required to be notified (vibration S4: NO). Returning to the processing of step S3, the processing of step S3 is repeatedly executed for the next acceleration waveform. On the other hand, when the abnormal vibration or the rush is caused by the artificial vibration or the rushing (intrusion of the intruder), the determining unit 52 determines that the detecting device 16, the collecting device 18, and the portable device 24 are required to be notified (step S4). :YES).

In the above description, the acceleration waveforms of FIGS. 5 and 6 are described. However, the first to third processes may be applied to the acceleration waveforms of FIGS. 7 to 9.

When the measurement target 14 is a drawer, as shown in FIG. 7, at the time points t7 and t8, when the intruder performs the intrusion operation of forcibly pulling out the drawer, the acceleration waveform indicating the vibration or the impulse corresponding to the intrusion motion is displayed. In the collection, the determination unit 52 can determine, for example, the vibration or the rush of the abnormality from the swing in the acceleration waveform by the first or second processing (step S3: YES).

Further, when the measurement target 14 is a cabinet, as shown in FIGS. 8 and 9, at the time point t9 to t13, when the intruder performs an intrusion operation for forcibly sliding the cabinet from the right side to the left side, the display corresponds to the intrusion operation. The vibration waveform of the vibration or the rush is collected, so the determination unit 52 is, for example, the first Alternatively, in the second process, the vibration or the pulsation in which the abnormality has occurred is determined from the wobble in the acceleration waveform (step S3: YES).

Further, since the acceleration waveforms in the three-axis direction of all the detecting devices 16 are collected in step S2, the amount of data per unit time of the acceleration waveforms in the three-axis direction collected by the analyzing device 22 abruptly increases. Therefore, in the step S3, the determination unit 52 is a function of artificial intelligence that can also be used as a mechanical learning function for learning vibration or rushing, and each of the collected acceleration waveforms is used as big data to perform each measurement with higher precision. The discrimination of the presence or absence of the abnormality of the object 14.

For example, the determination unit 52 is a pattern of an acceleration waveform that specifies (learns) an unmanned motion (for example, an intrusion motion) and an acceleration waveform when an intrusion motion occurs, by comparing the acceleration waveforms that are sequentially collected, by comparing The learned pattern and the acceleration waveform collected later are used to determine the presence or absence of the intrusion action.

Further, the determination unit 52 is a pattern that can recognize (learn) an acceleration waveform corresponding to a vibration or a rush generated by a natural phenomenon such as a earthquake or a wind, and compare the learned pattern with the acceleration waveform collected later. Whether it is an acceleration waveform generated by a natural phenomenon.

Further, the determination unit 52 can specify (learn) the pattern of the acceleration waveform corresponding to the normal acceleration sensor 28 and the state of acceleration corresponding to the faulty state, etc., by discriminating the acceleration waveforms that are sequentially collected. The pattern of the acceleration waveform of the detector 28 determines whether the collected acceleration waveform is a normal waveform by comparing the learned patterns with the acceleration waveforms collected thereafter.

Thus, in step S3, it is determined that an abnormal vibration or flush has occurred (step S3: YES), and it is determined in step S4 that the collection device 18 and the portable device 24 are to be notified (step S4: YES), and in the next step S5. The control unit 48 generates a notification signal for notifying the occurrence of an abnormality such as an intrusion operation of the intruder, and transmits the generated notification signal from the communication unit 50 to the collection device 18 and the portable device 24 via the wireless communication line 20.

When the communication unit 42 of the collection device 18 receives the notification signal, the control unit 44 controls the notification unit 46 to notify the occurrence of the abnormality in the monitoring target area 12 by the illumination of the LED or the output of the sound based on the received notification signal. As a result, the notification unit 46 warns the intruder who wants to perform the intrusion operation on the measurement target 14, and therefore it is possible to delay the intrusion of the intruder or obtain an anti-invasive effect against the intrusion of the intruder.

When the communication unit 56 of the portable device 24 receives the notification signal, the control unit 58 displays the occurrence of the abnormality of the measurement target 14 or the notification unit 46 as the warning operation on the display unit 60 based on the notification signal.

10A to 13 are diagrams showing an example of a display screen 70 of the portable device 24. In FIGS. 10A to 13 , the portable device 24 is a smart phone, and the display screen 70 is a display screen of the smart phone, and the functions of the display unit 60 and the operation unit 62 are illustrated.

10A is a display example of the display screen 70 when the data collection and analysis system 10 is monitoring (alarm mode) of the monitoring target area 12, and the relationship of the monitoring target area 12 is to slide the display screen 70 to the right side with a finger. Thereby, the display screen 70 can be switched to the screen display of FIGS. 11 to 13. On the other hand, Fig. 10B shows monitoring for the monitoring target area 12 (alarm) A display example of the display screen 70 when the mode is released.

Fig. 11 is a diagram showing an example of display of the display screen 70 when the smart phone receives the notification signal. In this case, in order to notify the measurement target 14 that is determined to be abnormal, the background of the display screen 70 is set to be red. Further, in the display field 72 of the display screen 70, (1) indicates that the notification unit 46 of the collection device 18 is in the state of the notification operation, "the gate buzzer is banging", and (2) indicates that the monitoring unit 46 is monitoring. In the house of the target area 12, the measurement target 14 that is determined to be abnormal is the information of the "detection sensor locker room" of the window of the locker room.

The related person can confirm the intrusion operation of the locker intruder by confirming the display content of the display field 72, and the case where the notification operation of each notification unit 46 is performed.

Then, in the next step S6, it is confirmed that the relationship of the display content of the display screen 70 is to maintain the notification operation (step S6: NO), for example, by clicking on any of the four icons (icons) 73 to 76. The contact or fact confirmation of the occurrence of the abnormality is contacted to the predetermined contact address (step S7).

For example, if the person operates the icon 73, the contact address that has been designated in advance or the contact address that has been registered in advance, for example, another person (family) of the monitoring target area 12 can be telephone-contacted. When the person operates the icon 74, the member of the group that is registered in advance (the contractor's) can be assigned to the designated contact address or the person in the vicinity of the monitoring target area 12 or another person in the monitoring target area 12 The other users who are designated by the person in advance) contact the mail. Also, if the relationship operator operates the icon 75, then The organizer can simultaneously notify the members of the group of the fact that the abnormality occurs by mail or the like. Further, when the person operates the icon 76, the provider of the service (for example, the security company) can be contacted, and the access to the monitoring target area 12 can be requested.

After step S7, the portable machine 24 returns to step S6. Then, in step S6, when the relationship person decides to maintain the notification operation (step S6: NO), the relationship person may not continue the process of step S7, and the screen display of FIG. 11 may be continued as it is.

On the other hand, for example, when the occurrence of an abnormality is canceled by the notification operation of the notification unit 46 or the contact of the related person, the relationship is necessary to cancel the notification state (step S6: YES), and in step S8, the relationship person It is requested to cancel the notification state by clicking the icon 77 of the alarm flag on the display screen 70.

The control unit 58 transmits a release request signal for canceling the request notification state from the communication unit 56 via the wireless communication line 20 in response to the click operation of the icon 77. When the communication unit 50 receives the release request signal, the control unit 48 of the analysis device 22 generates a release instruction signal indicating that the notification state is released based on the release request signal, and the communication device 50 communicates with the collection device 18 via the wireless communication line 20. The communication unit 42 transmits the generated release instruction signal. 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 from FIG. 11 to the display content of FIG. In this case, the background of the display screen 70 is a color other than red (for example In the display column 72, (1) indicates that "the gate buzzer is stopped" in the case where the notification unit 46 of the collection device 18 stops the notification operation, and (2) indicates that the measurement is the target of the release processing. The object 14 is information of the "detection sensor changing room" of the window of the dressing room.

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

In FIG. 13, the secondary operation performance and the three release processing of the monitoring target area 12 are displayed on the display columns 80a to 80e. In other words, the display columns 80b and 80d are displayed as the operation results, for example, the name of the measurement target 14 that is determined to be abnormal, the installation location (dressing room), and the time at which the abnormality occurs. Further, in the display columns 80a, 80c, and 80e, as the release processing, for example, the timing at which the notification operation of the notification unit 46 is stopped is displayed.

Moreover, the control unit 58 can also display information on the occurrence of an abnormality on the display screen 70 for each abnormality of each measurement target 14. In this case, the control unit 58 may display the display fields 80b and 80d in time series on the display screen 70, for example.

In the data collection and analysis system 10, when the monitoring operation (alarm mode) for the measurement target 14 is completed, the data processing is performed once. The next monitoring operation starts after the release of the processing. Therefore, when the display columns 80a to 80e are abnormal The moment of engraving, de-processing, etc. will be displayed.

Then, the screen display of Fig. 13 is performed as follows. After the step S8, the control unit 58 requests the communication unit 50 of the analysis device 22 to transmit the history information or the like from the communication unit 56 via the wireless communication line 20 by the operation of the display screen 70 of the related person. 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. The control unit 58 causes the screen display of FIG. 13 to be displayed on the display unit 60 based on the received history information.

Further, in the above-described step S7, the related person can also activate another application by operating the display screen 70. As described above, since the acceleration waveform collected in the three-axis direction of the analysis device 22 is big data, the activated application can provide a service for utilizing big data to the related party.

Further, the determination unit 52 of the analysis device 22 performs the processes of steps S3 and S4 for each acceleration waveform. Then, the control unit 58 of the portable device 24 can transmit the history information to the analysis device 22 every time the notification signal is notified from the analysis device 22, and the information of the measurement target 14 that is determined to be abnormal for each reception history information. The popup is displayed 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 of the present embodiment, the measurement target 14 is detected. The detection result of each of the detection devices 16 is collected in the analysis device 22 via the collection device 18 and the wireless communication line 20, and the analysis device 22 determines the presence or absence of an abnormality of each measurement target 14 based on each detection result. As a result, 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 by the analysis device 22 is increased. Therefore, each detection result can be used as big data. The presence or absence of the abnormality of each measurement target 14 is determined.

For example, even when a state in which a part of the detecting device 16 is defective or the like is unsatisfactory, when the generally impossible detection result is collected, the analyzing device 22 can easily judge the part by referring to the detection result of the normal other detecting device 16. The detection result of the detecting device 16 is a result of a detection due to a poor state.

Therefore, according to the present embodiment, the presence or absence of an abnormality of each measurement target 14 can be easily and surely determined based on the respective detection results. Therefore, the presence or absence of the abnormality can be accurately determined.

In this case, each of the detecting devices 16 includes an acceleration sensor 28 that is attached to the measurement target 14 and detects an acceleration corresponding to vibration or rush as an event occurring in the measurement target 14. . Thereby, the analysis device 22 can acquire the acceleration as the detection result via the wireless communication line 20 and the collection device 18, and can accurately determine the presence or absence of the abnormality of each measurement target 14 based on the accuracy of each acceleration.

In addition, each of the detection results is an acceleration waveform corresponding to the vibration or the rush generated in each measurement target 14, and the analysis device 22 determines the presence or absence of the abnormality of each measurement target 14 based on the amplitude direction and/or the period of each acceleration waveform. Thereby, the analysis device 22 can acquire each acceleration waveform instantaneously via the wireless communication line 20 and the collection device 18. As a result, the amount of data collected by the analysis device 22 is rapidly increased. Therefore, it is possible to more accurately determine the presence or absence of an abnormality of each measurement target 14 based on each acceleration waveform.

Further, as long as the installation state of each of the detection devices 16 (the acceleration sensors 28) of each measurement target 14 is known in advance, the analysis device 22 can determine the direction from which the force is applied by investigating the amplitude direction of the acceleration waveform. The vibration or the rush of the measurement object 14 occurs.

Further, when the analysis device 22 investigates the period of the acceleration waveform and compares the acceleration waveform of the long period, it is possible to specify the vibration or the pulsation caused by the natural phenomenon such as an earthquake. On the other hand, when the acceleration waveform of the short period is relatively short, It can be specific to the vibration or rush of the human action.

Further, each of the acceleration sensors 28 is a three-axis acceleration sensor, and each of the detecting devices 16 and the collecting device 18 is connected via a wireless PAN (BLE), and the collecting device 18 and the analyzing device 22 are via a wireless LAN (wireless communication line). 20) Come connect. Further, the determination unit 52 of the analysis device 22 is a mechanical learning function having a pattern of learning vibration or punching, and determines the presence or absence of an abnormality of each measurement target 14 based on the pattern of the vibration or the stroke to be learned and the respective acceleration waveforms.

Thereby, the amount of data per unit time of each detection result collected by the analysis device 22 is sharply increased. Then, by the determination unit 52 having the mechanical learning function, the determination unit 52 can accurately determine the presence or absence of the abnormality of each measurement target 14 by using artificial intelligence. In other words, the determination unit 52 learns various acceleration waves by analyzing the acceleration waveforms obtained by the sensing. The shape of the shape can be determined by comparing the learned pattern with the acceleration waveform of the three-axis direction collected after learning, and the acceleration waveform is determined to be the one produced by the person or person of the natural phenomenon.

Further, by appropriately updating the software stored in the memory unit 54 of the analysis device 22 in response to the need, the accuracy of the discrimination process for the acceleration waveform in the three-axis direction can be easily improved without changing the hardware configuration of the data collection and analysis system 10. And it can be equipped with new functions. As a result, the usability can be improved and the data collection and analysis system 10 can be evolved while suppressing the cost burden of the user of the data collection and analysis system 10, that is, the relationship.

Further, the detecting device 16 can be attached to the measuring object 14 by sticking or the like, and wirelessly communicates with the collecting device 18, so that wiring work is not required. As a result, the detecting device 16 and the collecting device 18 can be easily installed in the monitoring target area 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 on the display unit 60 based on the received notification signal (display screen 70). ), thereby reporting the occurrence of an abnormality to the outside. Thereby, when the person who includes the monitoring target area 12 of each measurement target 14 carries the portable device 24, the relationship can be quickly notified of the occurrence of the abnormality. As a result, the related person can obtain an appropriate correspondence with the measurement target 14 such as a provider (for example, a security company) that contacts the service to which the present invention is applied. Further, since the determination unit 52 determines the presence or absence of the abnormality with high accuracy, it is possible to prevent occurrence of false notification of the display screen 70.

In this case, the parsing device 22 is carried by the wireless communication line 20 The device 24 transmits a notification signal including the information of the measurement target 14 that is determined to be abnormal and the time when the abnormality occurs. Thereby, the portable device 24 displays the measurement target 14 that is determined to be abnormal and the time at which the abnormality occurs on the display screen 70. Thereby, the relationship person can take a more appropriate correspondence with the measurement target 14.

Further, 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 external occurrence of an abnormality based on the received notification signal. By this, the notification unit 46 can warn a person who performs some operation on the measurement target 14 such as the opening or the daily tool (for example, an intruder who invades the opening). In addition, since the determination unit 52 of the analysis device 22 can accurately determine the presence or absence of an abnormality, it is possible to prevent occurrence of false notification.

In addition, the analysis unit 22 is provided with a memory unit 54 that sequentially stores the result of the determination of the abnormality of each of the measurement targets 14 in the memory unit 54 and includes the determination result of the occurrence of the abnormality and the abnormality. The information of the measurement target 14 and the history information of the time when the abnormality occurs are transmitted to the portable device 24 via the wireless communication line 20. Thereby, the relationship person can confirm which of the measurement targets 14 corresponds to when the event corresponding to the abnormality occurs by referring to the history information displayed on the display unit 60.

Further, by providing the history information memorized in the storage unit 54 to the security company or the police, the security company or the police can analyze the history information to easily and quickly specify the time at which the event occurs. As a result, the security company or the police can take appropriate correspondence with respect to the event.

Moreover, the portable device 24 is based on the operator of the portable device 24 The operation transmits a release request signal for canceling the notification of the notification by the notification unit 46 via the wireless communication line 20, and the analysis device 22 transmits the release of the notification of the notification via the wireless communication line 20 based on the received release request signal. The indication signal is sent to the collection device 18. As a result, the abnormality of the measurement target 14 is canceled, and when the notification is not to be notified, the notification operation of the notification unit 46 can be quickly released as long as the person operates the portable device 24.

[Modification of this embodiment]

Further, the present embodiment is not limited to the above description, and the following configurations and operations are also possible.

In the present embodiment, the analysis device 22 collects the acceleration waveforms in the three-axis direction from all the detection devices 16 and stores them in the memory unit 54 as big data. Therefore, the large data can be used to provide various services.

In other words, in the past, the data collected by the computer was collected by a plurality of sensors, and the data collected successively was used as big data and collected by the side (computer). In this case, the side where the data is detected (the user who is the contractor) cannot use the big data, or if the behavior of the big data is not checked, it cannot be used.

On the other hand, in the present embodiment, the presence or absence of the abnormality of the measurement target 14 is determined by the acceleration waveform in the three-axis direction as the big data, and the result of the discrimination is notified to the user of the relationship of the monitoring target area 12 of the user. Machine 24. In other words, in the present embodiment, information (determination result) using big data (acceleration waveform) is actively provided to the user (relationship). Further, in the present embodiment, the discrimination of the occurrence of the abnormality is displayed. The result is stored in the memory unit 54 as history information, whereby the user can actively provide the recorded history information. Therefore, in the present embodiment, the convenience of the user can be improved. Specific examples of the utilization form will be described below.

For example, when an acceleration waveform that is significantly different from the normal acceleration waveform is obtained, the information of the detecting device 16 that detects the different acceleration waveform is displayed on the display unit 60 of the portable device 24, and the detecting device 16 can be Maintenance or replacement of parts is necessary to supervise the relationship of the subject area 12 of the monitoring.

Further, by using various machines as the measurement target 14, by detecting the frequency of the vibration generated by the machine, when the frequency which is generally impossible is detected, the maintenance of the machine or the replacement of the component (consumable part) can be promoted. Wait.

Further, when the house in the monitoring target area 12 has a resident (family of a related person), the data collection and analysis system 10 can be applied to confirm the safety of the resident (attention function). In this case, in the monitoring of the monitoring target area 12, even if a predetermined period (for example, 24 hours after the start of the attention) passes, the acceleration waveform of all the detecting devices 16 does not show the time change of the vibration or the rush (step S3 of FIG. 4: YES) For example, when the door of the toilet without the measurement target 14 or the door of the refrigerator is opened and closed, the display unit 60 of the portable device 24 may be displayed as shown in FIG. 11 (step S4 of FIG. 4: YES, step S5). .

Thereby, the relationship person (for example, the contractor of the service to which the material collection and analysis system 10 is applied) can be notified that the measurement target 14 has not vibrated or the predetermined time has elapsed. The situation of rushing. As a result, it is confirmed that the person who views the content of the display is the click icon 73 or the icon 76, the telephone is contacted to the designated contact address, or the provider of the service is contacted, and the access to the monitoring target area 12 or the like can be requested.

Further, in the data collection and analysis system 10, since the measurement target 14 can be monitored immediately, when the resident of the monitoring target area 12 has a resident, when the predetermined time is elapsed after the vibration of the door of the measurement target 14 is detected, the elapsed time can be obtained. To analogy, the range of movement of the resident. In this case, by displaying the situation in which the resident is likely to move to the analogy movement range, the display unit 60 of the portable device 24 can display the contractor of the service to which the data collection and analysis system 10 is applied.

Further, when the measurement target 14 is a storage box (corrugated box) of a document in the business unit, the detection device 16 is attached to the storage box, and when the detection device 16 detects an acceleration waveform corresponding to the vibration or the rush of the storage box (Fig. In step S3 of YES: YES), the display unit 60 of the portable device 24 may be displayed on the display unit 60 of the portable device 24 (step S5 in Fig. 4). In this way, it is easy to manage (the entrance and exit room management) of the house where the safe deposit box is stored.

Further, since each of the detecting devices 16 is connected to the collecting device 18 via wireless, the notifying portion having the same function as the notifying portion 46 can be built in each detecting 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 borrows the notification signal according to the transfer. The occurrence of an abnormality of the measurement target 14 can be reported by the light emission of the LED 32 or the like or by the sound output of the speaker or the like. Further, when the communication unit 42 of the collecting device 18 receives the release instruction signal, the communication unit 42 is the solution to be received. In addition to the instruction signal being transferred to the communication unit 30 of the detecting device 16, the notifying unit of the detecting device 16 can stop the light emission or stop the output of the sound based on the transferred release instruction signal.

In addition, in the present embodiment, the measurement target 14 can be the measurement target 14 as long as it is to be monitored in the monitoring target area 12 such as a building, a land, or a business unit. That is, the door inside the building, the wall of the realm of the land, and the like can be the object 14 to be measured. Further, the operation of the person who is the cause of the abnormality of the measurement target 14 is not limited to the entrance operation of the intruder or the resident to a specific place, and the intruder or the resident only opens or closes the window or the door, and does not enter the specific place. Can be the object of action.

Further, in the present embodiment, an acceleration corresponding to the vibration or the rush generated in the measurement target 14 by the acceleration sensor 28 built in the detection device 16 will be described as an example. In the present embodiment, any sensor that can detect the event occurring in the measurement target 14 can be built in any sensor. In this case, the analysis device 22 acquires the detection result of the sensor included in each detection device 16 via the collection device 18 and the wireless communication line 20, and can determine the abnormality of each measurement target 14 based on the acquired detection results. There is no.

Further, the present invention is not limited to the above-described embodiments, and various configurations can of course be adopted without departing from the gist of the present invention.

Claims (6)

A data collection and analysis system (10) characterized by: a detection device (16) mounted on a measurement target (14) to detect an event occurring in an attached measurement object (14); and a collection device (18) The wireless detection device (16) is connected to the plurality of detection devices (16), and the detection results of the detection devices (16) are collected; and the analysis device (22) is connected to the collection via the wireless communication line (20). The device (18) is connected, and each of the detection results is obtained from the collection device (18), and the presence or absence of an abnormality of the plurality of measurement targets (14) is determined based on the obtained detection results. The analysis device (22) is via the aforementioned The wireless communication line (20) transmits a notification signal notifying the occurrence of the abnormality to the external portable device (24) and the collecting device (18), and the portable device (24) is external to the received notification signal. The collecting device (18) includes a notifying unit (46) that notifies the outside of the occurrence of the abnormality based on the received notification signal, and the analyzing device (22) includes: sequentially storing the foregoing The memory unit (54) that determines the presence or absence of the abnormality of the target (14) transmits the history information to the portable device (24) via the wireless communication line (20), and the history information is stored in the memory. Among the above-described respective determination results of the part (54), the discrimination knot of the occurrence of the abnormality is displayed. And the information of the measurement target (14) that is determined to be the abnormality, and the time at which the abnormality occurs, the analysis device (22) generates a vibration or a shock that is generally impossible, when the measurement target (14) occurs, or When the vibration or the rush that may occur in the normal state does not occur in the measurement target (14), it is determined that the abnormality has occurred. The data collection and analysis system (10) of claim 1, wherein each of the detection devices (16) includes an acceleration sensor (28) that is attached to the measurement target (14) and detects The acceleration corresponding to the vibration or the rush as the aforementioned event occurring in the measurement target (14) is output. The data collection and analysis system (10) of claim 2, wherein each of the detection results is an acceleration waveform corresponding to vibration or rush generated in each of the measurement targets (14), and the analysis device (22) is based on The presence or absence of an abnormality of each of the measurement targets (14) is determined by the amplitude direction and/or the period of each of the acceleration waveforms. The data collection and analysis system (10) of claim 3, wherein each of the acceleration sensors (28) is a three-axis acceleration sensor, and each of the detection devices (16) and the collection device (18) Connected via a wireless PAN, The collecting device (18) and the analyzing device (22) are connected via a wireless LAN (20), and the analyzing device (22) has a learning function for learning the vibration or the pattern of the punching, and the vibration according to the learning or the aforementioned The presence or absence of an abnormality of each of the measurement targets (14) is determined by the pattern of the punching and the respective acceleration waveforms. The data collection and analysis system (10) of claim 1, wherein the analysis device (22) transmits the measurement including the abnormality to the portable device (24) via the wireless communication line (20). The information of the object (14) and the aforementioned notification signal at the time when the abnormality occurs. The data collection and analysis system (10) of claim 1, wherein the portable device (24) is operated via the wireless communication line (20) according to an operation of an operator of the portable device (24) The analysis device (22) transmits a release request signal requesting cancellation of the notification by the notification unit (46), and the analysis device (22) transmits a release instruction signal indicating cancellation of the notification via the received cancellation request signal via the foregoing The wireless communication line (20) is sent to the aforementioned collection device (18).