JP6994885B2 - Monitoring device and monitoring method - Google Patents

Description

The present invention relates to a monitoring device and the like.

Kukuri traps are known as traps for capturing birds and beasts. Kukuri traps are installed in the paths of birds and beasts in Noyama, and parts of the body such as the legs of birds and beasts are caught by a ring made of wire or wire rope. For example, in order to capture birds and beasts that are harmful to crops and the environment of forests, hunters set up kukuri traps and patrol the locations where kukuri traps are set up.

Japanese Patent Application Laid-Open No. 2015-122976 Japanese Unexamined Patent Publication No. 2014-14310 Japanese Unexamined Patent Publication No. 2015-159747

By the way, the Kukuri trap is installed so that it is difficult to see, such as being buried or being covered with grass so that the birds and beasts do not notice that the trap is set. In this way, if the kukuri trap is installed so that it is difficult to see from the ground, there is a possibility that a person will pass through the place where the kukuri trap is installed and be accidentally captured by the kukuri trap, or the hunter himself will be captured by the kukuri trap. There is a possibility.

In one aspect, it is an object of the present invention to provide a monitoring device and a monitoring method capable of determining whether a person has been captured.

In the first plan, the monitoring device has a sensor and a determination unit. The sensor measures the acceleration information of the wire portion where the loop of the trap is formed. The determination unit determines whether a bird, a beast, or a human has been captured based on the transition of the type of vibration indicated by the acceleration information measured by the sensor.

It is possible to determine whether a person has been captured.

FIG. 1 is a diagram showing a configuration of a system according to this embodiment. FIG. 2 is a functional block diagram showing the configuration of the monitoring device. FIG. 3 is a diagram showing an example of the data structure of the acceleration table. FIG. 4 is a diagram showing an example of a data structure of acceleration data. FIG. 5 is a diagram showing an example of the data structure of the vibration table. FIG. 6 is a diagram showing an example of a data structure of frequency information. FIG. 7 is a functional block diagram showing the configuration of the management server according to this embodiment. FIG. 8 is a diagram showing an example of the data structure of the management table. FIG. 9 is a diagram showing an example of the displayed determination result. FIG. 10 is a flowchart showing a processing procedure of the monitoring device according to the present embodiment.

Hereinafter, examples of the monitoring device and the monitoring method disclosed in the present application will be described in detail with reference to the drawings. The present invention is not limited to this embodiment.

FIG. 1 is a diagram showing a configuration of a system according to this embodiment. As shown in FIG. 1, this system has monitoring devices 100a, 100b, 100c, 100d, 100e, 100f and a management server 200.

The monitoring devices 100d to 100f and the management server 200 are included in the 3G area area 15, and the monitoring devices 100a to 100c are not included in the 3G area area 15. The monitoring devices 100d to 100f and the management server 200 perform data communication using a 3G line. The monitoring devices 100a to 100c are arranged at a distance capable of wireless communication with the monitoring device 100d, and perform data communication with the management server 200 via the monitoring device 100d.

The monitoring devices 100a to 100f are connected to acceleration sensors installed in the traps for capturing birds and beasts, respectively. The monitoring device 100a is connected to the accelerometers installed in the kukuri traps 1a to 1c. The monitoring device 100b is connected to the accelerometers installed in the kukuri traps 2a to 2c. The monitoring device 100c is connected to the accelerometers installed in the kukuri traps 3a to 3c. The monitoring device 100d is connected to the accelerometers installed in the kukuri traps 4a to 4c. The monitoring device 100e is connected to the accelerometers installed in the kukuri traps 5a to 5c. The monitoring device 100f is connected to the accelerometers installed in the kukuri traps 6a to 6c.

The kukuri trap has a wire part such as a wire or a wire rope, and a ring made on the wire part catches a part of the body such as the legs of birds and beasts. Accelerometers are provided on each wire portion of the kukuri trap and measure the acceleration information of the wire portion. In the following description, the monitoring devices 100a to 100f are collectively referred to as the monitoring device 100 as appropriate. Further, in FIG. 1, it is assumed that the monitoring device 100 is connected to each of the acceleration sensors of the plurality of traps, but the present invention is not limited to this. The monitoring device 100 may be connected to the accelerometer of one trap.

The monitoring device 100 is a device that monitors the state of the trap based on the acceleration information measured by the acceleration sensor. When the vibration indicated by the acceleration information is detected, the monitoring device 100 determines whether the bird, the beast, or the human is captured based on the transition of the type of the detected vibration. Then, the monitoring device 100 transmits the state information indicating the state of the trap, including the determination result, to the management server 200. For example, the monitoring devices 100d to 100f included in the 3G area area 15 transmit the status information to the management server 200 using the 3G line. The monitoring devices 100a to 100c not included in the 3G area area 15 transmit the status information to the management server 200 via the monitoring device 100d.

Subsequently, the configuration of the monitoring device 100 will be described. Here, as an example, the configuration of the monitoring device 100a will be described. The configurations of the monitoring devices 100b to 100f correspond to the configurations of the monitoring devices 100a.

FIG. 2 is a functional block diagram showing the configuration of the monitoring device. As shown in FIG. 2, the monitoring device 100a includes a communication unit 110, acceleration sensors 120a, 120b, 120c, a storage unit 130, and a control unit 140.

The communication unit 110 is a processing unit that executes data communication with the management server 200. The communication unit 110 corresponds to a communication device. For example, as shown in FIG. 1, when the monitoring device 100a is not included in the 3G area area 15, the communication unit 110 communicates data with the management server 200 via the monitoring device 100d as a master unit. To execute. When the monitoring device 100a is included in the 3G area area 15, the communication unit 110 executes data communication with the management server 200 using the 3G line. The control unit 140, which will be described later, exchanges data with the management server 200 via the communication unit 110.

The acceleration sensors 120a to 120c are acceleration sensors installed in the kukuri traps 1a to 1c, respectively. In the following description, the acceleration sensors 120a to 120c are collectively referred to as an acceleration sensor 120 as appropriate. Kukuri Traps 1a to 1c are collectively referred to as Kukuri Trap 1. The accelerometer 120 measures the acceleration of the installed kukuri trap 1. Kukuri Trap 1 activates the trap when an animal such as a person or a bird or beast puts its foot in the installation location, narrows the ring of the wire part by the restoring force of the spring, etc., and catches a part of the body such as the animal's foot. .. Therefore, when the trap is activated, the acceleration sensor 120 detects the acceleration of the kukuri trap 1. Further, when the bird and beast are captured, the kukuri trap 1 is pulled in each direction in an attempt to escape, so that the acceleration sensor 120 detects the acceleration. The acceleration information of Kukuri Trap 1 is referred to as acceleration data. The acceleration data has a relationship between the time and the magnitude of acceleration in each of the three axial directions orthogonal to each other. For example, the three-axis directions are the X-axis direction, the Y-axis direction, and the Z-axis direction.

The storage unit 130 has an acceleration table 131 and a vibration table 132. The storage unit 130 corresponds to a semiconductor memory element such as a RAM (Random Access Memory), a ROM (Read Only Memory), and a flash memory (Flash Memory), and a storage device such as an HDD (Hard Disk Drive).

The acceleration table 131 is a table that holds the acceleration data measured by the acceleration sensor 120. FIG. 3 is a diagram showing an example of the data structure of the acceleration table. As shown in FIG. 3, the acceleration table 131 associates the trap ID with the acceleration data. The trap ID is information that uniquely identifies the trap 1. For example, the trap ID of the kukuri trap 1a is "kuku-1a", the trap ID of the kukuri trap 1b is "kuku-1b", and the trap ID of the kukuri trap 1c is "kuku-1c". The acceleration data is the acceleration data measured by the acceleration sensor 120 installed in the Kukuri trap 1. For example, the acceleration data corresponding to the trap ID "kuku-1a" is the acceleration data measured by the acceleration sensor 120a.

An example of the data structure of the acceleration data stored in the acceleration table 131 will be described. FIG. 4 is a diagram showing an example of a data structure of acceleration data. As shown in FIG. 4, the acceleration data associates the time with the acceleration value of each axis (X-axis, Y-axis, Z-axis). The unit of the acceleration value is "mGal".

The vibration table 132 is a table that holds information about vibration obtained from acceleration data at predetermined time intervals. FIG. 5 is a diagram showing an example of the data structure of the vibration table. As shown in FIG. 5, the vibration table 132 associates the trap ID with the frequency information. The trap ID is information that uniquely identifies the trap 1. The frequency information is the frequency generated at predetermined time intervals. Here, in this embodiment, the number of times a relatively small vibration and a relatively large vibration are generated is separately stored as the frequency.

An example of the data structure of the frequency information stored in the vibration table 132 will be described. FIG. 6 is a diagram showing an example of a data structure of frequency information. As shown in FIG. 6, the frequency information associates the axis type with the frequency (large) and frequency (small) of each axis for each time interval. The axis type is information that identifies the X-axis, the Y-axis, and the Z-axis. The frequency (large) is the number of times a large vibration occurs. The frequency (small) is the number of times a small vibration occurs. For example, in the time zone "15:00 to 15:01", large vibrations occur 3 times in the direction of the X axis, small vibrations occur 0 times, and large vibrations occur 3 times in the direction of the Y axis. It is shown that the small vibration is generated 0 times, the large vibration is generated 0 times in the direction of the Z axis, and the small vibration is generated 0 times. Further, in the time zone "15:01 to 15:02", a large vibration is generated 0 times in the direction of the X axis, a small vibration is generated 3 times, and a large vibration is generated 0 times in the direction of the Y axis. It is shown that the small vibration is generated twice, the large vibration is generated 0 times in the direction of the Z axis, and the small vibration is generated once.

Returning to the description of FIG. The control unit 140 includes an acquisition unit 141, a determination unit 142, and a transmission unit 143. The control unit 140 can be realized by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. Further, the control unit 140 can also be realized by hard-wired logic such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The acquisition unit 141 is a processing unit that periodically acquires acceleration data from the acceleration sensor 120. The acquisition unit 141 registers the acceleration data acquired from the acceleration sensor 120 in the acceleration table 131. For example, the acquisition unit 141 registers the trap ID and the acceleration data acquired from the acceleration sensor 120 of the corresponding trap ID in association with each other.

Further, the acquisition unit 141 counts the number of occurrences of vibrations on the X-axis, Y-axis, and Z-axis at predetermined time intervals based on the acceleration table 131. In this embodiment, the acquisition unit 141 separately counts the number of times a relatively small vibration and a relatively large vibration are generated. For example, the acquisition unit 141 compares the acceleration of the acceleration data with the first threshold value and the second threshold value. This first threshold value is set to a relatively large value, for example, a value slightly smaller than the acceleration generated when the Kukuri Trap 1 is activated. For example, the first threshold value is set to a value of about 0.7 times the acceleration generated when the kukuri trap 1 is activated. The second threshold value is set to a relatively small value, and is set to a value slightly smaller than the acceleration generated when a person operates the wire portion, for example, when the kukuri trap 1 is installed. For example, the second threshold value is set to a value of about 0.7 times the acceleration generated when a person operates the wire portion when the kukuri trap 1 is installed.

When the acceleration of the acceleration data is equal to or greater than the first threshold value, the acquisition unit 141 counts the number of occurrences assuming that large vibrations have occurred. Further, when the acceleration of the acceleration data is less than the first threshold value and equal to or larger than the second threshold value, the acquisition unit 141 counts the number of occurrences assuming that small vibrations have occurred. The acquisition unit 141 does not count the number of occurrences when the acceleration of the acceleration data is less than the second threshold value.

The acquisition unit 141 registers the number of occurrences of vibrations on the X-axis, Y-axis, and Z-axis counted at predetermined time intervals in the vibration table 132. In the example described with reference to FIG. 6, the acquisition unit 141 counts the number of times of vibration of each axis at 1-minute intervals.

The determination unit 142 determines whether or not the knot trap 1 has been activated based on the vibration table 132. For example, in the vibration table 132, when the large vibration is counted once or more in any of the X-axis, Y-axis, and Z-axis directions, the determination unit 142 counts the large vibration once or more. Is determined to have been activated. In addition, the determination unit 142 determines that the kukuri trap 1 in which the acceleration of the first threshold value or more is measured is activated when the acceleration of the first threshold value or more is measured in the acceleration data measured by the acceleration sensor 120. You may.

When the determination unit 142 determines that the kukuri trap 1 has been activated, the determination unit 142 determines whether a bird, a beast, or a human has been captured based on the vibration table 132. For example, the determination unit 142 obtains the transition of the type of vibration generated from the time when it is determined that the kukuri trap 1 has been activated, based on the vibration table 132. Then, the determination unit 142 determines whether a bird, a beast, or a human has been captured based on the transition of the type of vibration.

Here, when the Kukuri Trap 1 is activated, the acceleration is detected by the acceleration sensor 120. Further, when the bird and beast are captured, the kukuri trap 1 is pulled in each direction in an attempt to escape, so that the acceleration sensor 120 detects the acceleration. When birds and beasts try to escape, large vibrations occur in one or two directions. For example, a wild boar has a habit of repeatedly moving in the horizontal direction when it is captured by the Kukuri Trap 1. In addition, deer have a habit of repeatedly jumping in the vertical direction when captured by Kukuri Trap 1. Therefore, when an ino or a deer tries to escape, a large vibration is generated in one or two directions. In addition, when the birds and beasts are captured by Kukuri Trap 1, they try to escape for a relatively long time. For this reason, in the Kukuri Trap 1 in which birds and beasts are captured, large vibrations are continuously generated for a long time.

On the other hand, when a person is captured by the Kukuri Trap 1, he / she quickly removes the Trap 1 without forcibly pulling the Trap 1. In the operation of removing the knot trap 1, a small vibration is irregularly generated in the three axes of the X-axis, the Y-axis, and the Z-axis because the loop of the wire portion on which the foot is hung is loosened. Therefore, in the trap 1 in which a person is captured, a large vibration is generated for a short time, and then a small vibration is generated.

The determination unit 142 measures a vibration of the first type that is relatively large in any one or two directions in the triaxial direction, and then has a vibration that is relatively smaller than the vibration of the first type in the triaxial direction. When two types of vibration are measured, it is determined that a person has been captured. For example, when the determination unit 142 determines that the trap has been activated in the vibration table 132, the number of small vibrations generated in any of the three axial directions is a predetermined number of times (for example, three times) or more. Is determined to have been captured. For example, in the vibration table 132, the determination unit 142 generates a small vibration a predetermined number of times (for example, three times) or more in any of the three axial directions in the time zone next to the time zone in which the trap is determined to have been activated. If, it is determined that the person has been captured. For example, in the case of FIG. 6, it is determined that the trap has been activated because large vibrations occur three times in the X-axis direction in the time zone “15:00 to 15:01”. Then, in the time zone "15:01 to 15:02", since small vibrations are generated three times in the direction of the X axis, it is determined that the person has been captured.

On the other hand, the determination unit 142 determines that the birds and beasts have been captured when the vibration of the first type is repeatedly measured. For example, from the time when the determination unit 142 determines on the vibration table 132 that the trap has been activated, a large vibration occurs once in any of the three axial directions in a continuous predetermined number (for example, 3) of time zones. If it is counted above, it is determined that the birds and beasts have been captured.

In addition, when a person is captured by the Kukuri Trap 1, he / she quickly removes the trap 1. Therefore, when the determination unit 142 generates a small number of vibrations more than a predetermined number of times within a predetermined period (for example, 3 minutes) corresponding to a period in which a person removes the trap 1 from the time when it is determined that the trap has been activated. , It may be determined that a person has been captured. Further, the determination unit 142 determines that a person has been captured when the measurement period in which the first type of vibration is measured is within a predetermined period (for example, 3 minutes), and when the measurement period is longer than the predetermined period, It may be determined that the birds and beasts have been captured.

By the way, a person captured by the Kukuri Trap 1 may remove the Kukuri Trap 1 and re-install the removed Kukuri Trap 1. For example, if a hunter is captured by Kukuri Trap 1, he removes Kukuri Trap 1 and re-installs the removed Kukuri Trap 1. On the other hand, when the general public is captured by the Kukuri Trap 1, the Kukuri Trap 1 is removed and the removed Kukuri Trap 1 is left unattended. When the Kukuri Trap 1 is installed, a relatively large vibration is generated by a preparatory operation such as deforming a spring that operates a ring of a wire portion.

Therefore, the determination unit 142 determines whether the kukuri trap 1 has been left unattended or re-installed based on the transition of the type of vibration. For example, the determination unit 142 states that the kukuri trap 1 was re-installed when the first type of vibration was measured in any one or two directions in the three axial directions after the second type of vibration was measured. If the first type of vibration is not measured, it is determined that the kukuri trap 1 is left unattended. For example, in the vibration table 132, if a large vibration is counted once or more in any of the three axial directions after the time when it is determined that the person has been captured, the kukuri trap 1 is re-installed in the determination unit 142. If no large vibration is counted in any of the three axial directions, it is determined that the kukuri trap 1 is left unattended. It should be noted that, as described above, the determination condition for determining that the Kukuri Trap 1 has been activated, the determination condition for determining whether a bird, the beast, or a human has been captured, and the determination condition for determining whether the Kukuri Trap 1 has been re-installed or left unattended. Is an example, and each determination condition may be set from an external device such as the management server 200 or an operation unit (not shown) of the monitoring device 100. For example, the first threshold value, the second threshold value, the condition of the number of times vibration occurs, and the condition of the period during which vibration occurs may be set from the operation unit of the external device or the monitoring device 100.

The determination unit 142 outputs the determination result to the transmission unit 143.

The transmission unit 143 is a processing unit that transmits state information indicating the state of the trap to the management server 200. For example, the transmission unit 143 generates state information including information such as whether a bird or a beast or a person has been captured, or the kukuri trap 1 has been left unattended, based on the determination result by the determination unit 142, and manages the state information. Send to server 200. The state information includes the above-mentioned determination result information, a monitoring device ID that uniquely identifies the monitoring device 100a, a trap ID of the kukuri trap 1, and a time when it is determined that the trap has been activated. For example, when the monitoring device 100a is included in the 3G area area 15, the transmission unit 143 transmits the status information to the management server 200 using the 3G line. When the monitoring device 100a is not included in the 3G area area 15, the transmission unit 143 transmits the status information to the management server 200 via the monitoring device 100 which is the master unit.

The transmission unit 143 may generate the state information as text data in order to minimize the data capacity of the state information when transmitting to the management server 200. For example, the transmission unit 143 transmits text data in which the content of the state information is described in text to the management server 200.

Next, the configuration of the management server 200 shown in FIG. 1 will be described. FIG. 7 is a functional block diagram showing the configuration of the management server according to this embodiment. As shown in FIG. 7, the management server 200 includes a communication unit 210, an input unit 220, a display unit 230, a storage unit 240, and a control unit 250.

The communication unit 210 is a processing unit that executes data communication with the monitoring device 100. The communication unit 210 corresponds to a communication device. When the monitoring device 100, which is the communication partner, is included in the 3G area area 15, the communication unit 210 performs data communication via the 3G line. When the monitoring device 100, which is the communication partner, is not included in the 3G area area 15, the communication unit 210 relays the master unit and performs data communication with the monitoring device 100. The communication unit 210 performs data communication with each monitoring device 100 and receives status information. The control unit 250, which will be described later, exchanges data with the monitoring device 100 via the communication unit 210.

The input unit 220 is an input device for inputting various information to the management server 200. The input unit 220 corresponds to a keyboard, a mouse, a touch panel, and the like.

The display unit 230 is a display device that displays various information from the control unit 250. The display unit 230 corresponds to a liquid crystal monitor, a touch panel, and the like.

The storage unit 240 has a management table 241. The storage unit 240 corresponds to a semiconductor memory element such as a RAM, ROM, or a flash memory, or a storage device such as an HDD.

The management table 241 is a table that holds management information about each monitoring device 100. FIG. 8 is a diagram showing an example of the data structure of the management table. As shown in FIG. 8, the management table 241 associates the monitoring device ID with the installation location information. The monitoring device ID is information that uniquely identifies the monitoring device 100. The installation location information is information indicating an installation location where the monitoring device 100 is installed.

The control unit 250 has a reception unit 251 and a display control unit 252. The control unit 250 can be realized by a CPU, an MPU, or the like. Further, the control unit 250 can also be realized by hard-wired logic such as ASIC and FPGA.

The reception unit 251 is a processing unit that receives various types of data. The reception unit 251 receives the status information from the monitoring device 100. Further, the reception unit 251 accepts input of various information from the input unit 220.

The display control unit 252 is a processing unit that controls the display of various types of information on the display unit 230. For example, when the display control unit 252 receives the state information from the monitoring device 100, the display control unit 252 displays the determination result included in the state information on the display unit 230. For example, the display control unit 252 specifies the installation location of the monitoring device 100 associated with the monitoring device ID included in the state information from the management table 241. Then, the display control unit 252 determines the monitoring device ID included in the state information, the installation location of the monitoring device 100, the trap ID, the time when it is determined that the trap has been activated, whether any of humans and birds and beasts has been captured, and the trap 1 Shows whether has been re-installed or left unattended. FIG. 9 is a diagram showing an example of the displayed determination result. In FIG. 9, the monitoring device 100a is installed at the ABC point, the trap ID is kuku-1a, the trap 1 is operating, and the trap 1 is activated to capture the prey at an estimated capture time of 15. : 12, which indicates that a person has been captured, indicating that Kukuri Trap 1 has been re-installed. The display control unit 252 may display the display on the display unit 230 when the display request is received from the input unit 220. Based on the information shown on the display unit 230, the user heads to the place where the monitoring device 100 is installed and performs various protection activities.

Next, an example of the processing procedure of the monitoring device 100a according to this embodiment will be described. The processing procedure for the monitoring devices 100b to 100f corresponds to the processing procedure for the monitoring device 100a. FIG. 10 is a flowchart showing a processing procedure of the monitoring device according to the present embodiment. As shown in FIG. 10, the acquisition unit 141 of the monitoring device 100a determines whether or not the acceleration data has been acquired from the acceleration sensor 120 of the kukuri trap 1 (step S101). If the acquisition unit 141 has not acquired the acceleration data (steps S101 and No), the acquisition unit 141 proceeds to step S108.

On the other hand, when the acceleration data is acquired (step S101, Yes), the acquisition unit 141 registers the acquired acceleration data in the acceleration table 131 (step S102). The acquisition unit 141 counts the number of vibration occurrences based on the acquired acceleration data (step S103). For example, the acquisition unit 141 compares the accelerations of the X-axis, Y-axis, and Z-axis of the acquired acceleration data with the first threshold value and the second threshold value, respectively, and either large vibration or small vibration occurs. If any vibration occurs, it is registered in the vibration table 132.

The determination unit 142 determines whether or not the knot trap 1 has been activated based on the vibration table 132 (step S104). If the Kukuri Trap 1 is not operating (steps S104, No), the process proceeds to step S108.

On the other hand, when the kukuri trap 1 is activated (step S104, Yes), the determination unit 142 determines either a bird or a beast or a human based on the transition of the type of vibration generated from the time when the kukuri trap 1 is determined to be activated. It is determined whether or not it has been captured (step S105). Further, as a result of the determination, the determination unit 142 determines whether the kukuri trap 1 has been left unattended or re-installed when a person is captured (step S106).

Based on the determination result by the determination unit 142, the transmission unit 143 generates status information including information such as whether a bird or beast or a human has been captured, or the kukuri trap 1 has been left or re-installed, and generates the status information. It is transmitted to the management server 200 (step S107).

The monitoring device 100a determines whether to continue the process (step S108). For example, the monitoring device 100a determines that the process is continued when the predetermined operation instructing the end of the process is not accepted, and determines that the process is not continued when the predetermined operation is accepted. If the monitoring device 100a continues the process (steps S108, Yes), the monitoring device 100a proceeds to step S101. If the monitoring device 100a does not continue the processing (steps S108, No), the monitoring device 100a ends the processing.

Next, the effect of the monitoring device 100 according to this embodiment will be described. The monitoring device 100 determines whether a bird, a beast, or a human has been captured based on the transition of the type of vibration indicated by the acceleration information measured by the acceleration sensor 120. As a result, the monitoring device 100 can notify whether a person has been captured or a bird or beast has been captured in the trap 1.

Further, the acceleration sensor 120 measures acceleration information in three axial directions orthogonal to each other. The monitoring device 100 measures the vibration of the first type in any one or two directions of the three axes measured by the acceleration sensor 120, and then the vibration of the first type is smaller in the three axes direction than the vibration of the first type. When two types of vibration are measured, it is determined that a person has been captured. As a result, the monitoring device 100 can accurately detect that a person has been captured by the kukuri trap 1.

Further, the monitoring device 100 determines that the birds and beasts have been captured when the vibration of the first type is repeatedly measured. As a result, the monitoring device 100 can accurately detect that the birds and beasts have been captured in the kukuri trap 1.

Further, when the measurement period in which the first type of vibration is measured in any one or two directions in the three axial directions is within a predetermined period, the monitoring device 100 determines that a person has been captured and the measurement period is predetermined. If it is longer than the period, it is determined that the birds and beasts have been captured. As a result, the monitoring device 100 can accurately detect whether a person has been captured in the trap 1 or a bird or beast has been captured.

By the way, among the processes described in this embodiment, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed can be performed. All or part of it can be done automatically by a known method. In addition, the processing procedure, control procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified.

For example, in the above embodiment, as an example, the case where the monitoring device 100 determines whether a human or a bird or beast has been captured and whether the kukuri trap 1 has been left or re-installed has been described, but the present invention is limited to this. is not it. For example, the control unit 250 of the management server 200 is provided with a processing unit corresponding to the acquisition unit 141 and the determination unit 142 of the monitoring device 100, and whether a person or a bird or beast is captured, and whether the kukuri trap 1 is left or re-installed. You may make a judgment. In this case, the management server 200 receives the acceleration data from the monitoring device 100, and makes a determination based on the received acceleration data in the same manner as in the above processing. In this case, the management server 200 corresponds to the monitoring device of the present invention.

Also, people such as hunters usually enter the fields during the day and rarely at night. Therefore, the determination unit 142 determines whether a bird, a beast, or a human has been captured based on the transition of the daytime time zone and the type of vibration, and in the nighttime time zone, when the kukuri trap 1 is activated, It may be determined that the birds and beasts have been captured. For example, the determination unit 142 determines whether a bird, a beast, or a human has been captured based on the transition of the type of vibration only in a predetermined time zone corresponding to the daytime (for example, 6:00 to 18:00). You may.

Further, in the above embodiment, the case where the number of occurrences at a predetermined time interval is obtained by dividing into small vibration and large vibration has been described, but the present invention is not limited to this. For example, the average acceleration tends to be high in the time zone in which large vibration is generated, and the average acceleration tends to be low in the time zone in which small vibration is generated. Therefore, the determination unit 142 obtains the average of the accelerations in the three axes of the X-axis, the Y-axis, and the Z-axis at predetermined time intervals, and determines whether the bird, the beast, or the human is captured based on the transition of the average acceleration. You may judge. The determination unit 142 compares the average acceleration of each time zone with the first threshold value and the second threshold value, and identifies the time zone in which the average acceleration is equal to or higher than the first threshold value as the time zone in which large vibration is measured. A time zone in which the average acceleration is smaller than the first threshold value and is greater than or equal to the second threshold value is specified as a time zone in which a small vibration is measured. The determination unit 142 may determine that a person has been captured when there is a time zone in which a small vibration is measured after the time zone in which the large vibration is measured. Further, the determination unit 142 determines that the bird or beast has been captured when there is a time zone in which a large vibration is measured in a continuous predetermined number (for example, 3) of time zones from the time when it is determined that the trap has been activated. You may.

Further, in the above embodiment, the case where the determination result is displayed on the display unit 230 in the management server 200 has been described, but the present invention is not limited to this. For example, the management server 200 may have a notification unit that notifies the administrator of the Kukuri Trap 1 of the determination result by e-mail or the like.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific state of distribution / integration of each device is not limited to the one shown in the figure, and all or part of the distribution / integration is functionally or physically distributed / physically in any unit according to various loads and usage conditions. Can be integrated and configured. For example, the acquisition unit 141, the determination unit 142 and the transmission unit 143 of the monitoring device 100, and the processing units of the reception unit 251 and the display control unit 252 of the management server 200 may be appropriately divided and integrated. Further, each processing function performed by each device may be realized by a CPU and a program in which all or any part thereof is analyzed and executed by the CPU, or may be realized as hardware by wired logic. ..

100a, 100b, 100c, 100d, 100e, 100f Monitoring device 200 Management server

Claims (3)

A sensor that measures acceleration information in the three axial directions that are orthogonal to each other in the wire part where the ring of the trap is formed, and
Based on the acceleration information measured by the sensor, it is measured whether a relatively large first type of vibration and a relatively small second type of vibration are generated in each of the three axis directions , and the three axes are measured. If the first type of vibration is measured in any one or two directions and then the second type of vibration is measured in the three axial directions, it is determined that a person has been captured, and the third type is determined. When the first type of vibration is repeatedly measured in any one or two directions of the axial direction and then repeatedly measured in any one or two directions of the three axial directions , the bird or beast If the vibration of the first type is measured in any one or two of the three axial directions after it is determined that the person has been captured, it is determined that the kukuri trap has been re-installed. When the vibration of the first type is not measured, the determination unit for determining that the knot trap has been left unattended , and
A monitoring device characterized by having. The monitoring device according to claim 1, wherein the determination unit determines whether a bird, a beast, or a human has been captured based on the time zone during the day and the transition of the type of vibration. It ’s a monitoring method performed by a computer.
The acceleration information is measured by a sensor that measures the acceleration information in the three axial directions orthogonal to each other in the wire portion where the ring of the kukuri trap is formed.
Based on the measured acceleration information, it is measured whether a relatively large first type of vibration or a relatively small second type of vibration is generated in each of the three axial directions, and which of the three axial directions is generated. If the first type of vibration is measured in one or two directions and then the second type of vibration is measured in the three- axis direction, it is determined that a person has been captured, and the person is determined to have been captured in the three-axis direction. When the first type of vibration was measured repeatedly in any one or two directions and then the first type of vibration was repeatedly measured in any one or two directions of the three axial directions , the birds and beasts were captured. If the vibration of the first type is measured in any one or two directions of the three axial directions after it is determined that the person has been captured, it is determined that the kukuri trap has been re-installed and the first type is determined. A monitoring method comprising executing a process of determining that a knot trap has been left unattended when one type of vibration is not measured .

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