JP2019058096A - Monitoring device and monitoring method - Google Patents

Abstract

To provide a monitoring device and a monitoring method capable of discriminating whether a human is captured or not.SOLUTION: Acceleration sensors 120a-120c measure acceleration information of a wire part where each ring of a binding trap are formed. A judgement part 142 judges which of a wildlife and a human is captured based on a trend of the kind of vibration shown by the acceleration information measured by the acceleration sensors 120a-120c.SELECTED DRAWING: Figure 2

Description

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

  Kukuri-don is known as a trap for catching birds and beasts. Kurikuri is installed on the path of birds and animals in the mountainous area, and it collects and captures parts of the body such as the legs of birds and beasts with a ring made of wire or wire rope. For example, in order to capture birds and animals that are harmful to agricultural products and the environment of the forest, hunters set up crows and patrol the locations where they are set.

Unexamined-Japanese-Patent No. 2015-122976 JP, 2014-14310, A JP, 2015-159747, A

  By the way, in order to prevent birds and beasts from being aware that traps are being planted, Kumuri moths are placed so that they are buried or covered with grass on them, etc. In this way, if the crow is set up so hard to see from the ground, there is a possibility that a person will pass through the setting place of the crow and be caught by mistake in the moth, or the hunter himself will be caught in the crow There is a possibility.

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

  In a first proposal, the monitoring device includes a sensor and a determination unit. The sensor measures the acceleration information of the wire part in which the ring of the closed loop is formed. The determination unit determines, based on the transition of the type of vibration indicated by the acceleration information measured by the sensor, which one of a bird and a beast has been captured.

  It can be determined whether a person has been captured.

FIG. 1 is a diagram showing the configuration of a system according to the present embodiment. FIG. 2 is a functional block diagram showing the configuration of the monitoring device. FIG. 3 is a view 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 view 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 the present embodiment. FIG. 8 is a diagram showing an example of the data structure of the management table. FIG. 9 is a view showing an example of the displayed determination result. FIG. 10 is a flowchart showing the processing procedure of the monitoring apparatus according to the present embodiment.

  Hereinafter, embodiments of the monitoring apparatus and the monitoring method disclosed in the present application will be described in detail based on the drawings. The present invention is not limited by this embodiment.

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

  The monitoring devices 100 d to 100 f and the management server 200 are included in the 3 G service area 15, and the monitoring devices 100 a to 100 c are not included in the 3 G service area 15. The monitoring devices 100d to 100f and the management server 200 perform data communication using a 3G circuit. The monitoring devices 100a to 100c are disposed at a distance that allows 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 respectively installed in the plows for capturing birds and animals. The monitoring device 100a is connected to an acceleration sensor installed in the studs 1a to 1c. The monitoring device 100b is connected to an acceleration sensor installed in the studs 2a to 2c. The monitoring device 100c is connected to an acceleration sensor installed in the studs 3a to 3c. The monitoring device 100d is connected to an acceleration sensor installed in the studs 4a to 4c. The monitoring device 100 e is connected to an acceleration sensor installed in the plow bars 5 a to 5 c. The monitoring device 100 f is connected to an acceleration sensor installed in the closing arms 6 a to 6 c.

  Kumuri has wire parts such as wires and wire ropes, and by means of a ring made in the wire part, it pulls and catches parts of the body such as the bird's foot. The acceleration sensors are respectively provided on the wire portions of the plow-up bars and measure acceleration information of the wire portions. 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, although it is assumed that the monitoring device 100 is connected to each of the plurality of hollow acceleration sensors, the present invention is not limited to this. The monitoring device 100 may be connected to an acceleration sensor of one hollow cage.

  The monitoring device 100 is a device that monitors the state of the eyelid based on the acceleration information measured by the acceleration sensor. When the vibration indicated by the acceleration information is detected, the monitoring apparatus 100 determines whether a bird or a beast has been captured based on the transition of the type of the detected vibration. Then, the monitoring apparatus 100 transmits, to the management server 200, state information indicating the state of the pomace, including the determination result and the like. For example, the monitoring devices 100d to 100f included in the 3G service area 15 transmit state information to the management server 200 using a 3G circuit. The monitoring devices 100 a to 100 c which are not included in the 3G service area 15 transmit the state information to the management server 200 via the monitoring device 100 d.

  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 configuration of the monitoring device 100a.

  FIG. 2 is a functional block diagram showing the configuration of the monitoring device. As shown in FIG. 2, the monitoring device 100 a includes a communication unit 110, acceleration sensors 120 a, 120 b, and 120 c, 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 illustrated in FIG. 1, when the monitoring device 100 a is not included in the 3G service area 15, the communication unit 110 performs data communication with the management server 200 via the monitoring device 100 d serving as a parent device. Run. When the monitoring device 100a is included in the 3G service area 15, the communication unit 110 performs data communication with the management server 200 using a 3G circuit. The control unit 140 described later exchanges data with the management server 200 via the communication unit 110.

  The acceleration sensors 120a to 120c are acceleration sensors respectively installed on the closing arms 1a to 1c. In the following description, the acceleration sensors 120a to 120c are collectively referred to as an acceleration sensor 120 as appropriate. Kumuri bales 1a to 1c are collectively referred to as Komali balustrade 1. The acceleration sensor 120 measures the acceleration of the installed hammer. When an animal such as a human being or a bird and an animal put a foot in the installation location, the mallet is activated and the loop of the wire portion is narrowed by the restoring force of the spring to catch the body such as the animal's foot . For this reason, the acceleration sensor 120 detects an acceleration in the case where the user operates the heel rod 1. In addition, when a bird and a beast are captured, the bird and beast is pulled in each direction to escape, and the acceleration sensor 120 detects an acceleration. The information on the acceleration of the 罠 1 is described as acceleration data. The acceleration data has a relationship between time and magnitude of acceleration in each of three axial directions orthogonal to each other. For example, the three axial directions are taken as an X axial direction, a Y axial direction, and a Z axial direction.

  The storage unit 130 includes an acceleration table 131 and a vibration table 132. The storage unit 130 corresponds to a semiconductor memory device such as a random access memory (RAM), a read only memory (ROM), a flash memory, or a storage device such as a hard disk drive (HDD).

  The acceleration table 131 is a table that holds acceleration data measured by the acceleration sensor 120. FIG. 3 is a view showing an example of the data structure of the acceleration table. As shown in FIG. 3, the acceleration table 131 associates the eyelid ID with the acceleration data. The 罠 ID is information for uniquely identifying the く 1. For example, let the eyebrow ID of Kakurin eyelet 1a be "kuku-1a", let the eyebrow ID of Kakurin eyelet 1b be "kuku-1b", and let the eyebrow ID of Kakurin eyelet 1c be "kuku-1c". The acceleration data is acceleration data measured by the acceleration sensor 120 installed in the pliers 1. For example, acceleration data corresponding to the eyelid ID “kuku-1a” is acceleration data measured by the acceleration sensor 120 a.

  An example of a data structure of 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 time with the value of acceleration on 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 related to vibrations obtained from acceleration data for each predetermined time. FIG. 5 is a view showing an example of the data structure of the vibration table. As shown in FIG. 5, the vibration table 132 associates the eyelid ID with the frequency information. The 罠 ID is information for uniquely identifying the く 1. The frequency information is a frequency generated at predetermined time intervals. Here, in the present embodiment, as the number of vibrations, the number of relatively small vibrations and the number of relatively large vibrations are stored separately.

  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 the frequency (small) of each axis at each time interval. The axis type is information for identifying the X axis, the Y axis, and the Z axis. The frequency (large) is the number of times that a large vibration occurs. The frequency (small) is the number of times that a small vibration occurs. For example, in the time zone “15:00 to 15:01”, a large vibration occurs 3 times in the direction of the X axis, a small vibration occurs 0 times, and a large vibration occurs 3 times in the direction of the Y axis Small vibration occurred 0 times, large vibration occurred 0 times in the direction of the Z-axis, and small vibration occurred 0 times. In the time zone "15: 01 to 15: 02", large vibration occurs 0 times in the direction of the X axis, small vibration occurs 3 times, and large vibration occurs 0 times in the direction of the Y axis. The small vibration occurs twice, and the large vibration occurs zero times and the small vibration occurs once in the direction of the Z-axis.

  It returns to the explanation 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 central processing unit (CPU) or a micro processing unit (MPU). The control unit 140 can also be realized by hard wired logic such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

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

  The acquisition unit 141 also counts the number of occurrences of X-axis, Y-axis, and Z-axis vibrations at predetermined time intervals based on the acceleration table 131. In the present embodiment, the acquisition unit 141 separately counts the number of occurrences of relatively small vibrations and relatively large vibrations. For example, the acquisition unit 141 compares the acceleration of the acceleration data with the first threshold and the second threshold. The first threshold value is set to a relatively large value, for example, a value slightly smaller than the acceleration generated when the crowbar 1 is actuated. For example, the first threshold value is set to a value of about 0.7 times the acceleration generated when the closing lever 1 is actuated. The second threshold value is set to a relatively small value, for example, a value slightly smaller than the acceleration generated when a person operates the wire portion in the case of installing the folding rod 1 or the like. 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 installing the plow pin 1.

  When the acceleration of the acceleration data is equal to or greater than the first threshold, the acquiring unit 141 counts the number of occurrences as if large vibrations occurred. In addition, when the acceleration of the acceleration data is less than the first threshold and greater than or equal to the second threshold, the acquiring unit 141 counts the number of occurrences as if small vibrations occurred. Note that when the acceleration of the acceleration data is less than the second threshold, the acquisition unit 141 does not count the number of occurrences.

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

  The determination unit 142 determines, based on the vibration table 132, whether or not the closing rod 1 has been actuated. For example, when a large vibration is counted one or more times in any of the X-axis, Y-axis, and Z-axis directions in the vibration table 132, the determination unit 142 counts the large vibration one or more times. Is determined to have been activated. Note that if the acceleration data measured by the acceleration sensor 120 indicates that the acceleration equal to or greater than the first threshold is measured, the determination unit 142 determines that the acceleration equal to or greater than the first threshold is measured. You may

  If the determining unit 142 determines that the plucking rod 1 has been activated, it determines, based on the vibration table 132, which one of a bird and a beast or a person has been captured. For example, the determination unit 142 determines, based on the vibration table 132, the transition of the type of vibration generated from the time point when it is determined that the closing rod 1 is activated. Then, based on the transition of the type of vibration, the determination unit 142 determines which one of a bird and a beast or a person has been captured.

  Here, when the closing rod 1 operates, the acceleration sensor 120 detects an acceleration. In addition, when a bird and a beast are captured, the bird and beast is pulled in each direction to escape, and the acceleration sensor 120 detects an acceleration. When the birds and animals try to escape, a large vibration occurs in one or two directions. For example, when a whale is captured by the kukulutai, it has a tendency to move repeatedly in the horizontal direction. In addition, deer, once captured by Kuri, have the tendency to repeatedly bounce in the vertical direction. For this reason, when a whale or deer tries to escape, a large vibration occurs in one or two directions. In addition, when the beast is captured by the puppet 1, it tries to escape for a relatively long time. For this reason, in the cage 1 where birds and beasts are captured, large vibrations occur continuously for a long time.

  On the other hand, when a person is captured by the plucking rod 1, the person quickly removes the rod 1 without pulling the rod 1. In the operation of removing the folding rod 1, in order to loosen the wheel of the wire part which is hung on a foot or the like, small and irregular vibrations occur in three axial directions of the X axis, Y axis and Z axis. For this reason, a large vibration occurs for a short time, and then a small vibration occurs after the person is captured.

  The determination unit 142 is configured to measure the first type of vibration that is relatively large in any one or two directions of three axial directions, and then measure the second type of vibration that is relatively smaller than the first type of vibration in three axial directions. If two types of vibration are measured, it is determined that a person has been captured. For example, if it is determined that the small vibration has occurred in any of the three axial directions after the determination unit 142 determines that the scissors have been activated in the vibration table 132, the human being is human. It is determined that the For example, in the vibration table 132, the determination unit 142 determines that the number of occurrences of small vibrations in any of the three axial directions is a predetermined number of times (for example, three times or more) in the time zone next to the time zone If it is, it is determined that a person has been captured. For example, in the case of FIG. 6, since a large vibration has occurred three times in the direction of the X-axis in the time slot "15:00 to 15:01", it is determined that the scissors have been activated. And in time slot | zone "15:01-15:02", since the small vibration has generate | occur | produced 3 times in the direction of the X-axis, it is determined that a person was captured.

  On the other hand, when the first type of vibration is repeatedly measured, the determination unit 142 determines that the bird has been captured. For example, in the vibration table 132, the determination unit 142 determines that the eyelid has been actuated, and one large vibration is detected in any of the three axial directions during a predetermined number of (for example, three) consecutive time zones. If it is counted above, it is determined that a bird or beast has been captured.

  In addition, when a person is captured by the plucking rod 1, the person acts to remove the rod 1 quickly and easily. For this reason, when the determination unit 142 determines that the user operates the eyelid, the number of occurrences of small vibrations within a predetermined period (for example, 3 minutes) corresponding to a period during which the person removes the nail 1 is predetermined times or more It may be determined that a person has been captured. In addition, when the measurement period in which the first type of vibration is measured is within a predetermined period (for example, 3 minutes), the determination unit 142 determines that a person is captured, and when the measurement period is longer than the predetermined period, It may be determined that a bird beast has been captured.

  By the way, there is a case where a person captured by the Kukuri-don 1 removes the Kuri-don 1 and reinstalls the Kirin-i. For example, if a hunter is captured by a kukurii boat 1, he / she removes the kimono 1 and re-installs the kimono 1. On the other hand, when a general person is captured by the Kukuri-don 1, he / she removes the Kori-don 1 and leaves the Kori-don 1. When the folding rod 1 is installed, a relatively large vibration is generated by a preparatory operation such as deforming a spring for operating the ring of the wire portion.

  Therefore, the determination unit 142 determines whether the pruner 1 is left or reinstalled based on the transition of the type of vibration. For example, when the first type of vibration is measured in any one or two directions of three axial directions after the second type of vibration is measured, the determination unit 142 determines that the pruning scissors 1 are re-installed. If it is determined that the first type of vibration is not measured, it is determined that the closing rod 1 is left. For example, if it is determined that a person has been captured in the vibration table 132, the determination unit 142 re-installs the crow 1 if a large vibration is counted one or more times in any of the three axial directions. If it is determined that no large vibration has been counted in any of the three axial directions, it is determined that the closing rod 1 is left. In addition, the determination conditions which determine that Kuri nii 1 operated as above-mentioned, the decision conditions which determine whether a bird and beast or a person were captured, the decision conditions which determine whether Kuri nii was re-installed or were left This 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, the second threshold, the condition of the frequency of occurrence of vibration, and the condition of a period during which vibration is generated may be settable from the external device or the operation unit of 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 brow to the management server 200. For example, based on the determination result by the determination unit 142, the transmission unit 143 generates state information including information such as whether a bird or a beast or a person has been captured, or that the clasp 1 has been left, and manages the state information. Send to server 200. The state information includes the information of the determination result, the monitoring device ID for uniquely identifying the monitoring device 100a, the eyelid ID of the closing eyelid 1, and the time when it is determined that the eyelid has operated. For example, when the monitoring apparatus 100a is included in the 3G service area 15, the transmission unit 143 transmits the state information to the management server 200 using a 3G circuit. When the monitoring device 100 a is not included in the 3G service area 15, the transmission unit 143 transmits the state information to the management server 200 via the monitoring device 100 serving as a parent device.

  The transmission unit 143 may generate 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 transmitting unit 143 transmits, to the management server 200, text data in which the content of the state information is described in text.

  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 the present 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. The communication unit 210 performs data communication via the 3G line when the monitoring apparatus 100 as the communication partner is included in the 3G service area 15. The communication unit 210 relays the parent device and performs data communication with the monitoring device 100 when the monitoring device 100 as a communication partner is not included in the 3G service area 15. The communication unit 210 performs data communication with each monitoring device 100 and receives state information. The control unit 250 described later exchanges data with the monitoring apparatus 100 via the communication unit 210.

  The input unit 220 is an input device that inputs various types of 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 types of information from the control unit 250. The display unit 230 corresponds to a liquid crystal monitor, a touch panel, or the like.

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

  The management table 241 is a table for holding management information on 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 place information is information indicating the installation place where the monitoring apparatus 100 is installed.

  The control unit 250 includes 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. The control unit 250 can also be realized by hard wired logic such as ASIC or FPGA.

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

  The display control unit 252 is a processing unit that controls 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, from the management table 241, the installation place of the monitoring apparatus 100 associated with the monitoring apparatus ID included in the state information. Then, the display control unit 252 detects the monitoring device ID included in the state information, the installation location of the monitoring device 100, the bribe ID, the time when it is determined that the bribe is activated, or one of the person and the beast is captured. Display whether the was reinstalled or left alone. FIG. 9 is a view showing an example of the displayed determination result. In FIG. 9, the monitoring device 100 a has the installation location at the ABC point, the Kakurin 1 operated by the Kuku-1a with the ID of kuku-1a, and the estimated capture time at which the Kakurin 1 operated and captured the prey is 15 : 12, which is determined to have captured a person, indicating that the crow ball 1 has been re-installed. When the display control unit 252 receives a display request from the input unit 220, the display control unit 252 may cause the display unit 230 to display the display request. The user goes to a place where the monitoring apparatus 100 is installed based on the information shown on the display unit 230, and performs various protection activities.

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

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

  Based on the vibration table 132, the determination unit 142 determines whether the closing rod 1 has operated (step S104). When the closing rod 1 is not in operation (No in step S104), the process proceeds to step S108.

  On the other hand, when the puppet 1 is activated (Yes in step S104), the determination unit 142 determines whether the bird or beast is a person or a person based on the transition of the type of vibration generated from the time it is determined that the pup 1 is activated. It is determined whether it has been captured (step S105). Further, when the determination unit 142 captures a person as a result of the determination, the determination unit 142 determines whether the mallet 1 is left or reinstalled (step S106).

  The transmitting unit 143 generates state information including information such as whether a bird or a beast or a person has been captured, or that the clasp 1 has been left or reinstalled based on the determination result by the determination unit 142, and the state information is It transmits to the management server 200 (step S107).

  The monitoring device 100a determines whether to continue the process (step S108). For example, the monitoring apparatus 100a determines that the process is to be continued if the predetermined operation for instructing the end of the process is not received, and determines that the process is not to be continued if the predetermined operation is received. If the monitoring apparatus 100a continues the process (Yes at Step S108), the process moves to Step S101. If the monitoring apparatus 100a does not continue the process (No in step S108), the process ends.

  Next, the effects of the monitoring device 100 according to the present embodiment will be described. The monitoring apparatus 100 determines, based on the transition of the type of vibration indicated by the acceleration information measured by the acceleration sensor 120, which one of a bird and a beast has been captured. Thereby, the monitoring apparatus 100 can notify the Kurukuri whistle 1 whether a person has been captured or a bird and a beast have been captured.

  Further, the acceleration sensor 120 measures acceleration information in directions of three axes orthogonal to each other. After the first type of vibration is measured in any one or two of the three axial directions measured by the acceleration sensor 120, the monitoring apparatus 100 may be configured to reduce the number of vibrations smaller than the first type of vibration in three axial directions. If 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 closing rod 1.

  In addition, when the first type of vibration is repeatedly measured, the monitoring device 100 determines that the bird has been captured. As a result, the monitoring device 100 can accurately detect that the beast has been captured by the close-up cage 1.

  The monitoring apparatus 100 determines that a person is captured when the measurement period in which the first type of vibration is measured in any one or two directions of three axes is within a predetermined period, and the measurement period is predetermined. If it is longer than the period, it is determined that the beast has been captured. As a result, the monitoring device 100 can accurately detect whether a person or a beast has been captured by the plover 1.

  Of the processes described in the present embodiment, all or part of the process described as being automatically performed can be manually performed, or the process described as being manually performed. All or part of them can be automatically performed by a known method. In addition to the above, the processing procedures, control procedures, specific names, and information including various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified.

  For example, in the above embodiment, as one example, the monitoring apparatus 100 has described the case where it is determined whether a human or a beast has been captured and whether the plow 1 has been left or reinstalled, respectively. is not. 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 apparatus 100, and whether a person or a beast has been captured, You may make a judgment. In this case, the management server 200 receives acceleration data from the monitoring apparatus 100, and makes a determination in the same manner as the above-described processing based on the received acceleration data. In this case, the management server 200 corresponds to the monitoring device of the present invention.

  In addition, people such as hunters usually enter the hill during the day, and rarely enter the hill at night. Therefore, the determination unit 142 determines which one of a bird and a beast has been captured based on the transition of the daytime time zone and the type of vibration, and the nighttime time zone is the case where the puppet 1 is activated, It may be determined that a bird beast has been captured. For example, the determination unit 142 determines whether a bird or a beast is captured based on the transition of the type of vibration only in a predetermined time zone (for example, 6:00 to 18:00) corresponding to the daytime. You may

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

  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 Kurukuri 1 by a mail or the like.

  Further, each component of each device illustrated is functionally conceptual, and does not necessarily have to be physically configured as illustrated. That is, the specific state of the distribution and integration of each device is not limited to that shown in the drawings, and all or a part thereof is functionally or physically distributed in any unit depending on various loads, usage conditions, etc. It can be integrated and configured. For example, each processing unit of the acquisition unit 141, the determination unit 142, the transmission unit 143 of the monitoring apparatus 100, and the reception unit 251 of the management server 200 and the display control unit 252 may be divided and integrated appropriately. Furthermore, each processing function performed in each device may be realized by a CPU and a program analyzed and executed by the CPU and all or any part thereof, or may be realized as hardware by wired logic. .

100a, 100b, 100c, 100d, 100e, 100f monitoring device 200 management server

Claims (7)

A sensor for measuring acceleration information of the wire section in which a loop of a hammer is formed,
A determination unit that determines whether a bird or a beast has been captured based on the transition of the type of vibration indicated by the acceleration information measured by the sensor;
A monitoring device characterized by having. The sensor measures acceleration information in directions of three axes orthogonal to each other,
The determination unit is configured to measure the first type of vibration in any one or two directions of the three axial directions, and then measure the second type of the third type smaller than the first type of vibration in the three axial directions. The monitoring device according to claim 1, wherein when the vibration is measured, it is determined that a person is captured. The monitoring device according to claim 2, wherein the determination unit determines that a bird is captured when the first type of vibration is repeatedly measured. The sensor measures acceleration information in directions of three axes orthogonal to each other,
The determination unit determines that a person is captured when the measurement period in which the first type of vibration is measured in any one or two of the three axial directions is within a predetermined period, and the measurement period is predetermined. The monitoring device according to claim 1, wherein if it is longer than the period, it is determined that a beast has been captured. The said determination part determines whether any one of a bird and a beast and a person was captured based on the time zone of daytime and the transition of the type of vibration. Monitoring equipment. The determination unit determines that the plow has been re-installed if the first type of vibration is measured in any one or two of the three axial directions after determining that a person has been captured. The monitoring device according to any one of claims 2 to 4, wherein when the first type of vibration is not measured, it is determined that the plow has been left. A monitoring method performed by a computer,
The acceleration information is measured by a sensor that measures the acceleration information of the wire portion in which the ring of the ring is formed,
A monitoring method characterized in that a process of determining whether a bird or a person has been captured is performed based on the transition of the type of vibration indicated by the measured acceleration information.

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