JP7494529B2 - Information processing device, information processing method, program, and system - Google Patents

Description

The present invention relates to an information processing device, an information processing method, a program, and a system.

In recent years, technology has become known that uses sensors to detect objects. For example, technology is known that detects the direction of an object based on an acoustic signal obtained by a microphone, and controls the shooting direction of a camera to match the direction of the detected object (see, for example, Patent Document 1). With this technology, when an object is detected from an image captured by a camera, an image containing the object is automatically transmitted. By looking at the automatically transmitted image containing the object, the user can understand that the object has been detected.

A technology has been disclosed that detects the approach of a suspicious ship by detecting sounds emitted by a ship based on acoustic signals obtained by microphones installed underwater (see, for example, Patent Document 2). With this technology, features consisting of a combination of frequencies of sounds emitted by the ship are extracted and recorded in a database, making it possible to refer to the history of sounds emitted by the ship. Furthermore, with this technology, acoustic signals are detected by multiple microphones, and the direction of travel of the suspicious ship can be estimated based on the detection results. This allows for rapid response action to be taken.

Japanese Patent Application Laid-Open No. 5-145928 JP 2002-181618 A

However, it would be desirable to provide technology that can further improve user convenience.

In order to solve the above problems, according to one aspect of the present invention, an information processing device is provided which includes a determination unit that determines a relationship between the managed object and the detected object based on position information of a measured object moving together with the managed object and position information of a detected object detected based on sensor data obtained by a sensor, by determining the relationship between the distance between the position indicated by the position information of the measured object and the position indicated by the position information of the detected object and a threshold value, and a detection notification unit that outputs an alarm if the distance is greater than the threshold value.

The determination unit may determine that the detected object is the same as the managed object or has moved at least temporarily together with the managed object when the distance is smaller than the threshold value.

The managed object may be a regular ship on which the measurement object is mounted.

The object to be detected may be a ship.

The threshold value may include a first threshold value, and the determination unit may determine that the detected object is a poaching vessel different from the managed object when the distance is greater than the first threshold value.

The determination unit may determine that the detected object is the same as the managed object if the distance is smaller than the first threshold value.

The object to be detected may be a diver.

The threshold value may include a second threshold value, and the determination unit may determine that the detected object is a poaching diver that does not move with the managed object if the distance is greater than the second threshold value.

The determination unit may determine that the detected object is a legitimate diver who has moved at least temporarily with the managed object if the distance is less than the second threshold value.

The detection notification unit may control the terminal associated with the sensor to provide identification information corresponding to the information related to the detection based on the determination that the distance is greater than the threshold value, and the information processing device may include a data providing unit that controls the information related to the detection to be provided to a source of the data transmission request when a data transmission request based on the identification information is received after the identification information has been provided to the terminal.

If the detected object does not satisfy a predetermined condition, the data providing unit may not provide the location information of the detected object to the terminal associated with the sensor.

In order to solve the above problems, according to one aspect of the present invention, an information processing device is provided which includes a determination unit that determines a relationship between a managed object and a detection object based on position information of a measurement object that moves together with the managed object and position information of a detection object detected based on sensor data obtained by a sensor, by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, and a threshold value, wherein the sensor data is detected by a sensor unit included in the sensor, and the sensor unit is present underwater.
The position information of the measurement object is continuously updated, and the determination unit may acquire the position information of the measurement object based on the detection of the detection object, and determine the relationship between the distance and the threshold value.

The position information of the measurement object may be obtained by GPS positioning.

According to another aspect of the present invention, there is provided an information processing method comprising: determining a relationship between a managed object and a detected object based on position information of a measured object moving together with the managed object and position information of a detected object detected based on sensor data obtained by a sensor, by determining a relationship between a distance between a position indicated by the position information of the measured object and a position indicated by the position information of the detected object , and a threshold value; and outputting an alarm if the distance is greater than the threshold value .
According to another aspect of the present invention, there is provided an information processing method which includes determining a relationship between the managed object and the detection object based on position information of a measurement object moving together with the managed object and position information of a detection object detected based on sensor data obtained by a sensor, by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, and a threshold value, wherein the sensor data is detected by a sensor unit provided in the sensor, and the sensor unit is present underwater.

According to another aspect of the present invention, a program is provided for causing a computer to determine a relationship between a managed object and a detected object by determining the relationship between a distance between a position indicated by the position information of a measured object moving together with the managed object and a position information of a detected object detected based on sensor data obtained by a sensor, and a threshold value, and outputting an alarm if the distance is greater than the threshold value .
According to another aspect of the present invention, there is provided a program for causing a computer to determine a relationship between a managed object and a detection object by determining the relationship between a distance between a position indicated by the position information of a measurement object moving along with the managed object and a position information of a detection object detected based on sensor data obtained by a sensor, and a threshold value, wherein the sensor data is detected by a sensor unit provided in the sensor, and the sensor unit is present in water.

According to another aspect of the present invention, a system is provided which includes a sensor and an information processing device, wherein the sensor acquires sensor data, and the information processing device includes a determination unit which determines a relationship between the managed object and the detected object by determining the relationship between the distance between the position indicated by the position information of the measurement object and the position indicated by the position information of the detected object based on position information of a measured object moving along with the managed object and position information of a detected object detected based on the sensor data obtained by the sensor, and a threshold value, and a detection notification unit which outputs an alarm if the distance is greater than the threshold value .
According to another aspect of the present invention, a system is provided which includes a sensor and an information processing device, wherein the sensor acquires sensor data, and the information processing device includes a determination unit which determines a relationship between the managed object and the detection object by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object based on position information of a measurement object moving together with the managed object and position information of a detection object detected based on the sensor data obtained by the sensor, and a threshold value, and wherein the sensor data is detected by a sensor unit included in the sensor, and the sensor unit is present underwater.

The system may include the measurement object.

The system may include the object to be detected.

As explained above, the present invention makes it possible to further improve user convenience.

1 is a diagram showing a configuration example of an IoT system for preventing poaching according to an embodiment of the present invention; FIG. 2 is a diagram illustrating an example of the configuration of an underwater acoustic sensor. FIG. 2 is a diagram illustrating an example of a functional configuration of a server according to an embodiment of the present invention. FIG. 11 is a diagram illustrating an example of sensor information. FIG. 11 is a diagram illustrating an example of notification destination information. FIG. 13 is a diagram showing an example of regular ship information. FIG. 2 is a diagram illustrating an example of a functional configuration of a supervisor terminal according to an embodiment of the present invention. 13 is a diagram showing a detailed operation example when a ship is detected by the object detection unit. FIG. FIG. 13 is a diagram showing a detailed operation example when a diver is detected by the object detection unit. FIG. 13 is a diagram showing an example of a detection email. 11 is a diagram showing an example of a detection screen when a detection object is detected by one underwater acoustic sensor; FIG. FIG. 13 is a diagram showing an example of a range on a map corresponding to a detection range. 13A and 13B are diagrams illustrating an example in which a selection operation of a display switching object is input. FIG. 13 is a diagram showing an example in which the additional information display area is scrolled. 11 is a diagram showing an example of a detection screen when a detection object is detected by two underwater acoustic sensors; FIG. FIG. 13 is a diagram showing a first modified example of a detection screen when a detection object is detected by two underwater acoustic sensors. 1 is a flowchart showing an example of the operation of the anti-poaching IoT system according to an embodiment of the present invention. FIG. 2 is a diagram illustrating a hardware configuration of an information processing device as an example of a server according to an embodiment of the present invention.

The preferred embodiment of the present invention will be described in detail below with reference to the attached drawings. Note that in this specification and the drawings, components having substantially the same functional configuration are designated by the same reference numerals to avoid redundant description.

In addition, in this specification and drawings, multiple components having substantially the same functional configuration may be distinguished by adding different numbers after the same reference symbol. However, if there is no particular need to distinguish between multiple components having substantially the same functional configuration, only the same reference symbol will be used. In addition, similar components in different embodiments may be distinguished by adding different letters after the same reference symbol. However, if there is no particular need to distinguish between similar components in different embodiments, only the same reference symbol will be used.

[0. Overview]
First, an overview of the embodiment of the present invention will be described.

In recent years, technology has become known that uses sensors to detect objects. For example, technology is known that detects the direction of an object based on an acoustic signal obtained by a microphone, and controls the shooting direction of a camera to match the direction of the detected object. With this technology, when an object is detected from an image captured by a camera, an image containing the object is automatically transmitted. By looking at the automatically transmitted image containing the object, the user can understand that the object has been detected.

In an embodiment of the present invention, we mainly propose a technology that can further improve user convenience. More specifically, in an embodiment of the present invention, when a detection target is detected based on sensor data, identification information corresponding to information related to the detection is transmitted to the user's terminal. Then, when identification information is specified by the user, information related to the detection is transmitted to the user's terminal. This allows the user to check information related to the detection using the terminal at a time that is convenient for the user, which is expected to improve user convenience.

In the embodiment of the present invention, it is mainly assumed that an acoustic sensor is used as the sensor. That is, in the embodiment of the present invention, it is mainly assumed that the object is detected by detecting the sound emitted by the object from sensor data (sound data) obtained by the acoustic sensor. However, the sensor is not limited to an acoustic sensor, and may be a sensor other than an acoustic sensor (e.g., an image sensor, a radar, a laser sensor, an ultrasonic sensor, etc.). Even when a sensor other than an acoustic sensor is used as the sensor, the object can be detected by detecting the characteristics of the object from the sensor data, similar to the case where an acoustic sensor is used as the sensor.

Various objects are assumed as detection targets. For example, it may be assumed that the detection target is various objects used in poaching. Examples of various objects used in poaching include poaching boats and poachers. This allows the user to monitor poaching. The importance of monitoring poaching is clear in light of the scale of damage caused by poaching in recent years and the difficulty of detecting poaching. For example, the Japan Coast Guard's annual report, "Maritime Safety Report 2018" (http://www.kaiho.mlit.go.jp/info/books/report2018/html/honpen/2_04_chap3.html), states, "The rich marine resources in the waters surrounding Japan are by no means inexhaustible, and rules have been established to limit catch volumes, fishing methods, areas, and periods in order to maintain the balance of the ecosystem and prevent the depletion of marine resources. However, However, illegal fishing by some fishermen who do not follow the rules and overfishing of fishery resources by gangsters seeking to secure funds continue to occur. ... The Japan Coast Guard will further improve its surveillance capabilities and enhance its equipment for document collection, and will strive to strictly monitor and crack down on increasingly malicious and sophisticated poaching crimes. In addition, we will continue to work closely with related institutions and fishing-related organizations to promote comprehensive poaching countermeasures, such as preventive measures tailored to the characteristics of each region, and strive to maintain order in the fishing industry. " Therefore, by targeting poaching vessels or poachers for detection, the embodiment of the present invention aims to solve social issues, and the embodiment of the present invention can be implemented more appropriately.

Here, poaching is generally understood as "breaking the law and fishing secretly" (Daijirin), fishing without a license or permission, violating various laws that prescribe fishing bans or fishing methods, and violating fishing rights. For example, the Kyoto Prefectural Fisheries Office, a local agency of the Kyoto Prefectural Agriculture, Forestry and Fisheries Department that handles business related to the fisheries industry, states that "poaching is taking living creatures that are the subject of fishing rights without permission" (https://www.pref.kyoto.jp/suiji/documents/mitsuryou.pdf).

For example, poaching is difficult to detect for the following reasons. Poaching often occurs at night in a dark environment. This makes it difficult for security guards to detect poaching vessels and poachers with their eyes or cameras. Furthermore, in bad weather conditions (e.g., snowfall, typhoons, sea fog, swells, high waves, etc.), visibility is poor, making it difficult for security guards to detect poaching vessels and poachers with their eyes or cameras even during the day. In addition, poaching of marine resources that exist on the seabed (e.g., sea cucumbers, sea urchins, turban shells, abalone, oysters, pearls, etc.) is often carried out by poachers diving, making it difficult for security guards to monitor poaching of resources that exist on the seabed with their eyes or cameras.

Considering the difficulty of detecting such poaching, it is desirable to use an acoustic sensor as the sensor when poaching vessels or poachers are the objects to be detected. The reason for this is that the accuracy of sensing by an acoustic sensor is hardly affected by the brightness of the environment (time of day) or the visibility (weather conditions). Furthermore, if the sensing unit of the acoustic sensor is located underwater, the acoustic sensor can easily detect poachers attempting to harvest resources present in the sea. Hereinafter, an acoustic sensor whose sensing unit is located underwater will also be referred to as an "underwater acoustic sensor."

In the following, we will mainly assume that the user is a "monitor" who monitors illegal fishing, and that the user's terminal is a "monitor terminal" used by the monitor.

The above describes an overview of an embodiment of the present invention.

1. Details of the embodiment
Next, the details of the embodiment of the present invention will be described.

[1-1. System Configuration]
First, a configuration example of a system according to an embodiment of the present invention will be described. In the following, it is assumed that the system according to the embodiment of the present invention is used for anti-poaching measures, and the system according to the embodiment of the present invention is also referred to as an "anti-poaching IoT (Internet of Things) system". However, the system according to the embodiment of the present invention may be used for purposes other than anti-poaching measures (i.e., the system according to the embodiment of the present invention is not limited to an IoT system).

Figure 1 is a diagram showing an example of the configuration of an IoT system for preventing poaching according to an embodiment of the present invention. As shown in Figure 1, the IoT system for preventing poaching 1 includes underwater acoustic sensors 10-1 to 10-N (N is an integer equal to or greater than 1), a server 20, and supervisor terminals 30-1 to 30-M (M is an integer equal to or greater than 1), and official ships 50-1 to 50-L (L is an integer equal to or greater than 1). In the following, when it is not necessary to distinguish between the underwater acoustic sensors 10-1 to 10-N, each of the underwater acoustic sensors 10-1 to 10-N will also be referred to as "underwater acoustic sensor 10". Similarly, when it is not necessary to distinguish between the supervisor terminals 30-1 to 30-M, each of the supervisor terminals 30-1 to 30-M will also be referred to as "supervisor terminal 30".

In the embodiment of the present invention, it is mainly assumed that each of the supervisor terminals 30-1 to 30-M is used by a different supervisor. However, there may be cases where multiple supervisor terminals 30 are used by a single supervisor, or where a single supervisor terminal 30 is used by multiple supervisors.

In an embodiment of the present invention, it is assumed that the underwater acoustic sensor 10 communicates with a server 20 on the Internet via a mobile network such as an LTE (Long Term Evolution) network. However, the underwater acoustic sensor 10 may also be capable of communicating with the server 20 via other communication means such as a multi-hop wireless communication means.

On the other hand, server 20 can be realized by a computer having server functions.

In addition, in the embodiment of the present invention, it is mainly assumed that the monitor terminal 30 is configured by a smartphone. However, the monitor terminal 30 may be realized by other devices such as a tablet terminal, a mobile phone, a business phone (key telephone) (button telephone), a PDA (Personal Digital Assistant), an audio player, a printer, a facsimile, a scanner, a copy machine, a digital camera, an automated device (such as an ATM (cash mate) that is used by an unspecified number of people and automatically handles things, an automatic vending machine, an automatic ticket vending machine, or a kiosk terminal), or a cash processing machine (a terminal that manages the deposit and withdrawal of cash), a wearable computer, or a car navigation system. The monitor terminal 30 may communicate with the server 20 by wireless communication via a mobile network such as an LTE network, or by wired communication via a wired network such as a LAN (Local Area Network).

Each of the official ships 50-1 to 50-L corresponds to an example of a managed object. In the embodiment of the present invention, it is mainly assumed that an official ship (i.e., a ship authorized to fish) is used as an example of a managed object. However, managed objects are not limited to official ships. For example, official objects or people other than ships may be used as managed objects. Official ships 50-1 to 50-L include ships authorized to operate in the fishing grounds monitored by the underwater acoustic sensor 10, as well as ships that may navigate the fishing grounds (for example, Japan Coast Guard ships, police ships, transport ships, coastal construction ships, etc.).

Each of the official ships 50-1 to 50-L is equipped with a terminal (hereinafter, an on-board terminal). That is, as shown in FIG. 1, each of the official ships 50-1 to 50-L is equipped with an on-board terminal 40-1 to 40-L. Each of the on-board terminals 40-1 to 40-L is an example of a measurement target. That is, the position of each of the on-board terminals 40-1 to 40-L can be measured.

The location information of each of the mounted terminals 40-1 to 40-L may be measured in any manner. As an example, in an embodiment of the present invention, it is mainly assumed that the location information of each of the mounted terminals 40-1 to 40-L is obtained by a positioning function using a GPS (Global Positioning System). The location information of each of the mounted terminals 40-1 to 40-L is detected continuously (for example, continuously in a time series) and transmitted to the server 20. Note that in an embodiment of the present invention, it is mainly assumed that each of the mounted terminals 40-1 to 40-L is a smartphone. However, each of the mounted terminals 40-1 to 40-L is not limited to being a smartphone.

The on-board terminal 40 may be located anywhere on the corresponding official ship 50, so long as it is on-board the corresponding official ship 50. For example, the on-board terminal 40 may be fixed to a predetermined location on the corresponding official ship 50 (e.g., the cockpit, etc.). Alternatively, the on-board terminal 40 may be carried by a predetermined object (e.g., a robot, etc.) or person (e.g., a crew member of the ship, etc.) on the corresponding official ship 50, and move along with that object or person.

[Underwater acoustic sensor 10]
The underwater acoustic sensor 10 obtains sensor data (acoustic data) by sensing the environment. The underwater acoustic sensor 10 also obtains information (sensor status information) indicating its own status (e.g., normal, broken, unknown status, etc.). After obtaining the sensor data and the sensor status information, the underwater acoustic sensor 10 transmits the sensing data and the sensor status information to the server 20. The data format of the sensing data and the sensor state information transmitted to the server 20 is not limited, and may be, for example, Comma-Separated Values (CSV), Tab-Separated Values (TSV) file, Space-Separated Values (SSV), Semicolon-Separated Values (SSV), HyperText Markup Language (HTML), Extensible Markup Language (XML), Extensible HyperText Markup Language (XHTML), or a database (dBASE or Structured Query Language (SQL) format.

Here, "sensing" is used to mean the detection of estimated quantities such as sound, vibration (tremors), temperature, humidity, and tilt (detection of increase/decrease or occurrence), as well as the detection of the occurrence of smoke, chemical substances, and static electricity (detection of increase/decrease or estimated quantities). "Sensing" is also used to mean not only detection, but also the process of converting the detected content into a signal. "Sensing" is also used to mean not only detection, but also measuring and determining the detected content.

In an embodiment of the present invention, it is assumed that the underwater acoustic sensor 10 includes multiple acoustic sensors (microphones). This allows the direction of a sound source relative to the installation position of the underwater acoustic sensor 10 to be identified based on the sound detection results from each of the multiple acoustic sensors. Here, the specific configuration of the underwater acoustic sensor 10 is not limited. An example configuration of the underwater acoustic sensor 10 is described below.

Figure 2 is a diagram showing an example of the configuration of the underwater acoustic sensor 10. Referring to Figure 2, the underwater acoustic sensor 12, which is an example of the underwater acoustic sensor 10, comprises, from the top, a transmitting buoy unit 170, a weight 181, a float 182, a sensing unit 130, a mooring unit 150, a power supply unit 140, and a weight unit 160. However, the arrangement of these components is not limited to the example shown in Figure 2. In addition, the transmitting buoy unit 170 is provided with an antenna unit 110, a searchlight unit 121, an anchoring light unit 122, and a solar cell 123 at a position above the sea surface.

The sensing unit 130 is an acoustic sensor that is located underwater and senses the water. The sensing unit 130 obtains sensor data (acoustic data) through such sensing. The transmitting buoy unit 170 is subject to buoyancy to such an extent that the antenna unit 110 is positioned above the sea surface. The antenna unit 110 transmits the sensor data transmitted from the sensing unit 130 via a cable and sensor status information of the underwater acoustic sensor 12 to the server 20 via wireless communication.

The sinker 181 and the float 182 allow the transmitting buoy unit 170 to move to a certain extent near the sea surface by bending and stretching the rope (including the cable) that connects the sensing unit 130 and the transmitting buoy unit 170. The mooring unit 150 tethers the underwater acoustic sensor 12 (excluding the power supply unit 140 and the sinker unit 160) to the power supply unit 140. This allows the underwater acoustic sensor 12 to sink to the seabed. The power supply unit 140 supplies power to the antenna unit 110, the sensing unit 130, the searchlight unit 121, and the mooring light unit 122.

For example, the power supply unit 140 may have a timer function that automatically stops providing power during operating hours (e.g., between 9:00:00 and 15:00:00 when fishing is taking place) and automatically starts providing power outside of operating hours (e.g., between 15:00:01 and 8:59:59 when fishing is not taking place). This can prevent legitimate boats and legitimate divers from being mistakenly detected as detection targets.

As will be described later, if the underwater acoustic sensor 12 has a position detection function (e.g., a position detection function using GPS (Global Positioning System)), the position of the underwater acoustic sensor 12 obtained by this position detection function can be transmitted from the underwater acoustic sensor 12 to the server 20. For example, the position of the underwater acoustic sensor 12 may be transmitted from the underwater acoustic sensor 12 to the server 20 at a predetermined time interval (e.g., every second). The position of the underwater acoustic sensor 12 may also be transmitted from the underwater acoustic sensor 12 to the server 20 periodically (e.g., every hour) even during operation hours. In this case, the GPS antenna may be provided at the bottom of the antenna unit 110, as an example, but the location where the GPS antenna is provided is not limited.

The mooring section 150 tethers the underwater acoustic sensor 12 (excluding the weight section 160) to the weight section 160. This allows the underwater acoustic sensor 12 to sink to the seabed. The weight section 160 is an object that is heavy enough to be placed on the seabed, and can sink to the seabed and keep the underwater acoustic sensor 12 (excluding the power supply section 140 and weight section 160) in a position within a predetermined range via the mooring section 150.

The searchlight unit 121 illuminates the surroundings by shining light onto them. Since poaching is likely to take place in dark environments, it is expected that poaching will be suppressed by brightening the surroundings with the searchlight unit 121. Here, the searchlight unit 121 may irradiate light at a specified time, may irradiate light periodically, may irradiate light randomly at any timing, may irradiate light when the sensing unit 130 obtains sensor data (acoustic data), or may irradiate light based on instructions from the server 20.

The mooring light unit 122 alerts the user to the need to avoid collisions by turning on or blinking a warning light. It is expected that the collision prevention alerts provided by the mooring light unit will reduce collisions between legitimate ships and illegal fishing vessels and the underwater acoustic sensor 10. The mooring light unit 122 may be supplied with power from the power supply unit 140, or from a solar cell 123 or the like. The underwater acoustic sensor 12 shown in FIG. 2 is tethered to the seabed by a mooring unit 150, but the sensing unit 130 may be attached to a moving object such as a drone, a small unmanned vessel, or a manned vessel, and sensing may be performed at different positions by moving the moving object.

[Server 20]
Returning to Fig. 1, the description will be continued. Next, a functional configuration example of the server 20 according to the embodiment of the present invention will be described. Fig. 3 is a diagram showing a functional configuration example of the server 20 according to the embodiment of the present invention. As shown in Fig. 3, the server 20 according to the embodiment of the present invention includes a control unit 220, a storage unit 230, and a communication unit 240. The control unit 220 includes an object detection unit 221, a determination unit 222, a detection notification unit 223, a request acquisition unit 224, a data acquisition unit 225, and a data provision unit 226.

[Communication unit 240]
The communication unit 240 is configured by a communication interface, and communicates with the underwater acoustic sensor 10. For example, the communication unit 240 communicates with the underwater acoustic sensor 10 via a mobile network such as an LTE network. The communication unit 240 may also communicate with the underwater acoustic sensor 10 by other communication means such as a multi-hop wireless communication means. Furthermore, the communication unit 240 communicates with the monitor terminal 30. For example, the communication unit 240 communicates with the monitor terminal 30 via a mobile network such as an LTE network. Alternatively, the communication unit 240 may communicate with the monitor terminal 30 by wire.

[Storage unit 230]
The storage unit 230 is a storage device capable of storing programs and data for operating the control unit 220. The storage unit 230 can also temporarily store various data required in the course of operation of the control unit 220. For example, the storage device may be a non-volatile storage device. For example, the storage unit 230 may store sensor information 231, notification destination information 232, and official ship information 233 as examples of various data. Hereinafter, the sensor information 231 will be described with reference to FIG. 4, the notification destination information 232 will be described with reference to FIG. 5, and the official ship information 233 will be described with reference to FIG. 6.

[Sensor information 231]
Fig. 4 is a diagram showing an example of the sensor information 231. As shown in Fig. 4, the sensor information 231 is configured by associating a "sensor ID", "installation location information", "sensor status information", "sensor data", "weather information", and "contact name".

The "sensor ID" is information for uniquely identifying the underwater acoustic sensor 10.

The "installation position information" is information indicating the position where the underwater acoustic sensor 10 is installed. In the embodiment of the present invention, it is mainly assumed that the installation position information is expressed by latitude and longitude. However, the expression format of the installation position information is not limited. For example, the installation position information may be expressed in polar coordinate format. For example, the installation position information may be input manually, but if the underwater acoustic sensor 10 has a position detection function for detecting its own position, the installation position information may be set based on the installation position detected by the underwater acoustic sensor 10. Also, as described above, if the position of the underwater acoustic sensor 10 is transmitted from the underwater acoustic sensor 10 to the server 20 at a predetermined time interval, the server 20 may update the installation position information at a predetermined time interval based on the position of the underwater acoustic sensor 10 received from the underwater acoustic sensor 10.

When "sensor status information" and "sensor data" are received from the underwater acoustic sensor 10, they are registered in the sensor information 231. If a "sensor ID" is attached to the "sensor status information" and "sensor data" received from the underwater acoustic sensor 10, the "sensor status information" and "sensor data" associated with the same "sensor ID" as the "sensor ID" received from the underwater acoustic sensor 10 are registered in the sensor information 231.

The "weather information" is information about the weather according to the installation position of the underwater acoustic sensor 10. The weather information may be acquired in any manner. For example, weather information according to the installation position of the underwater acoustic sensor 10 may be periodically acquired from a specified web page and registered in the sensor information 231. The weather according to the installation position of the underwater acoustic sensor 10 may be the weather at the installation position of the underwater acoustic sensor 10 itself, or may be the weather at a location away from the installation position of the underwater acoustic sensor 10 (for example, the jurisdiction area of the sea area where the underwater acoustic sensor 10 is installed). In the embodiment of the present invention, it is assumed that the weather information includes the weather (for example, wind strength, weather, etc.), temperature, humidity, precipitation, wind speed, etc. Assumed weather is sunny, cloudy, rainfall, snowfall, approaching typhoon, etc. For example, when the weather indicates the approach of a typhoon, but a notification of the detection of a poacher or a poaching boat is received, it may be determined that the notification of the detection of a poacher or a poaching boat is a false alarm (because it is considered difficult to poach while a typhoon is approaching). However, there is no particular limitation on what information the weather information specifically includes.

The "contact name" corresponds to the name of the contact (the monitor who should be contacted) corresponding to the underwater acoustic sensor 10. For example, the monitor can use the monitor terminal 30 to select in advance the underwater acoustic sensor 10 installed in the area (zone) that the monitor wishes to monitor. This allows the name of the monitor to be associated as the "contact name" with the "sensor ID" of the underwater acoustic sensor 10 selected by the monitor.

In the example shown in FIG. 4, it is assumed that sensors 1 and 2 are installed in the same area, and sensor 3 is installed in an area different from the areas where sensors 1 and 2 are installed. In this case, "Mr. A" and "Mr. B" correspond to those who intend to monitor only a specific area (for example, a specific fisheries cooperative association). "Mr. C" corresponds to those who intend to monitor multiple areas (for example, the National Federation of Fisheries Associations).

[Notification destination information 232]
Fig. 5 is a diagram showing an example of the notification destination information 232. As shown in Fig. 5, the notification destination information 232 is configured by associating a "contact name," a "notification destination address," and a "contact destination telephone number." For example, the notification destination information 232 may be set in advance by the monitor using the monitor terminal 30.

The "Contact Name" corresponds to the name of the contact (the monitor who should be contacted) corresponding to the underwater acoustic sensor 10, similar to the "Contact Name" in the sensor information 231.

The "notification destination address" is an address that indicates the destination of a detection notification when an object to be detected is detected by the underwater acoustic sensor 10. In an embodiment of the present invention, it is assumed that the detection notification means is email (detection email). That is, it is mainly assumed that an email address is used as the "notification destination address". However, the "notification destination address" is not limited to an email address.

For example, as will be explained later, since the detection notification needs to include a character string, the detection notification means may be any means capable of sending a character string. For example, the detection notification means may be a specified application capable of sending a character string. For example, if the detection notification means is a social networking service (SNS) application, the notification address may be an SNS account. Alternatively, for example, if the detection notification means is a short message, the notification address may be a telephone number.

The "Contact phone number" corresponds to the phone number of the contact (the monitor who should be contacted) corresponding to the underwater acoustic sensor 10.

[Regular Ship Information 233]
Fig. 6 is a diagram showing an example of the official ship information 233. As shown in Fig. 6, the official ship information 233 is configured by associating a "terminal ID", "on-board terminal location information", and a "display type". For example, the "terminal ID" and "display type" of the official ship information 233 may be set in advance by a crew member of the official ship 50 using the on-board terminal 40.

The "terminal ID" is information for uniquely identifying the on-board terminal 40. For example, in the embodiment of the present invention, it is mainly assumed that the ID (client ID) of a client application installed on the on-board terminal 40 is used as the "terminal ID". However, the "terminal ID" is not limited to such a client ID.

"On-board terminal location information" is information indicating the location of the on-board terminal 40. In an embodiment of the present invention, it is mainly assumed that the on-board terminal location information is expressed by latitude and longitude. However, the expression format of the on-board terminal location information is not limited. For example, the on-board terminal location information may be expressed in polar coordinate format. The location information of the on-board terminal 40 is continuously (for example, continuously in a chronological order) transmitted from the on-board terminal 40 to the server 20 after being assigned a terminal ID. Based on the received location information of the on-board terminal 40, the server 20 continuously updates the on-board terminal location information in the official ship information 233 that corresponds to a terminal ID that matches the terminal ID assigned to the location information of the on-board terminal 40.

"Display type" is information indicating whether or not to display the position information of official ships on the map. In the example shown in FIG. 6, "display" indicates that the position information of official ships is to be displayed on the map, and "hide" indicates that the position information of official ships is not to be displayed on the map.

[Control unit 220]
The control unit 220 includes a calculation device such as a CPU (Central Processing Unit), and its functions can be realized by the calculation device expanding a program stored in a ROM (Read Only Memory) into a RAM and executing it. At this time, a computer-readable recording medium on which the program is recorded can also be provided. Alternatively, these blocks may be configured with dedicated hardware, or may be configured with a combination of multiple hardware components. Data necessary for calculations by the calculation device is appropriately stored in the storage unit 230.

The object detection unit 221, the determination unit 222, the detection notification unit 223, the request acquisition unit 224, the data acquisition unit 225, and the data provision unit 226 will be described in detail later.

[Monitor terminal 30]
Returning to Fig. 1, the explanation will be continued. Next, an example of the functional configuration of the supervisor terminal 30 according to the embodiment of the present invention will be explained. Fig. 7 is a diagram showing an example of the functional configuration of the supervisor terminal 30 according to the embodiment of the present invention. As shown in Fig. 7, the supervisor terminal 30 according to the embodiment of the present invention includes an input unit 310, a control unit 320, a storage unit 330, a communication unit 340, and a display unit 350.

[Input section 310]
The input unit 310 accepts operations by the monitor. In the embodiment of the present invention, it is mainly assumed that the input unit 310 is a touch panel. However, the type of the input unit 310 is not limited. For example, the input unit 310 may include a keyboard, a mouse, an electronic pen, or another input device.

[Control unit 320]
The control unit 320 includes a CPU and the like, and its functions can be realized by the CPU expanding a program stored in the storage unit 330 into a RAM and executing it. At this time, a computer-readable recording medium on which the program is recorded can also be provided. Alternatively, the control unit 320 may be configured with dedicated hardware, or may be configured with a combination of multiple pieces of hardware. Data necessary for the calculation by the calculation device is appropriately stored in the storage unit 330.

[Storage unit 330]
The storage unit 330 is a storage device capable of storing programs and data for operating the control unit 320. The storage unit 330 can also temporarily store various data required in the course of operation of the control unit 320. For example, the storage device may be a non-volatile storage device.

[Communication unit 340]
The communication unit 340 is configured by a communication interface, and communicates with the server 20. The communication unit 340 communicates with the server 20 via a mobile network such as an LTE network. Alternatively, the communication unit 340 may communicate with the server 20 via a wired connection.

[Display unit 350]
The display unit 350 has a function of performing display according to the control by the control unit 320. Here, the form of the display unit 350 is not particularly limited. For example, the display unit 350 may be a cathode ray tube (CRT) display device, a liquid crystal display (LCD) device, an organic light emitting diode (OLED) device, or a display device such as a lamp.

[Object detection unit 221]
Returning to Fig. 3, the description will continue. The object detection unit 221 detects a detection object based on sensor data (acoustic data) obtained by the underwater acoustic sensor 10. As described above, the specimen object is not particularly limited, but in the embodiment of the present invention, it is assumed that the object detection unit 221 detects a ship or a diver (i.e., a person) as the detection object.

Here, the detection object may be detected in any manner. For example, it is assumed that the sound emitted by the detection object has sound characteristics for each detection object. For example, it is assumed that the sound characteristics are the frequency of the sound. Therefore, when the object detection unit 221 detects a sound having a predetermined frequency, it may detect the sound as a sound emitted by the detection object.

For example, it is known that the mechanical sounds produced by a ship's engine rotation and the water-screw sounds produced by a ship's propeller rotation have a frequency lower than a certain frequency (a first frequency) and are emitted continuously for a predetermined period of time. Therefore, when the object detection unit 221 detects a sound having a frequency lower than the first frequency that continues for a period of time longer than a predetermined period of time, the object detection unit 221 may detect the sound as being produced by the ship.

For example, if the sensing unit 130 of the underwater acoustic sensor 10 includes a first acoustic sensor (hereinafter also referred to as a "low-frequency acoustic sensor") capable of detecting sounds having frequencies lower than the first frequency, the low-frequency acoustic sensor can sense sounds having frequencies lower than the first frequency.

On the other hand, it is known that the sound of air passing through a regulator when a diver draws air from a cylinder has a frequency higher than a certain frequency (second frequency). Therefore, when the object detection unit 221 detects a sound having a frequency higher than the second frequency, it may detect the sound as a sound made by a diver.

For example, if the sensing unit 130 of the underwater acoustic sensor 10 includes a second acoustic sensor (hereinafter also referred to as a "high-frequency acoustic sensor") capable of detecting sounds having frequencies higher than the second frequency, the high-frequency acoustic sensor can sense sounds having frequencies higher than the second frequency.

There may be cases where an underwater sound similar to the sound of air passing through a regulator occurs singly. In such cases, there is a possibility that a diver may be erroneously detected based on sensing of the similar underwater sound. Therefore, if the object detection unit 221 detects a frequency higher than the second frequency multiple times within a specified time period, it may detect the sound as being made by a diver.

Here, the first frequency and the second frequency may be within the frequency range of approximately 20 to 20 kHz (audible range). In this case, the first frequency and the second frequency are audible sounds (sound waves with a frequency of approximately 20 to 20 kHz). Specifically, for example, the first frequency may be 2 kHz. In this case, when the underwater acoustic sensor 10 senses a sound of, for example, 1 kHz (a frequency lower than the first frequency), the object detection unit 221 may detect it as a sound emitted by a boat. Specifically, for example, the second frequency may be 9 kHz. In this case, when the underwater acoustic sensor 10 senses a sound of, for example, 10 kHz (a frequency higher than the second frequency), the object detection unit 221 may detect it as a sound emitted by a diver.

In addition to the above-mentioned mode of detecting a sound having a frequency lower than the first frequency as a sound emitted by a ship when the sound is continuously detected for a longer period of time than a predetermined period of time, and detecting a sound having a frequency higher than the second frequency as a sound emitted by a diver when the sound is detected, the object detection unit 221 may also detect a sound having a predetermined frequency or a frequency of the predetermined frequency ±100 Hz. For example, the object detection unit 221 may detect a sound of 1 kHz or 1 kHz ±100 Hz sensed by the underwater acoustic sensor 10 as a sound emitted by a ship. For example, the object detection unit 221 may detect a sound of 10 kHz or 10 kHz ±100 Hz sensed by the underwater acoustic sensor 10 as a sound emitted by a diver.

As described above, the object detection unit 221 can determine the direction of the sound source (i.e., the object to be detected) based on the installation position of the underwater acoustic sensor 10 based on the sensor data. Note that it is also possible that the same object to be detected is detected simultaneously by multiple underwater acoustic sensors 10. In such a case, the object detection unit 221 can determine the direction of the object to be detected based on each of the installation positions of the multiple underwater acoustic sensors 10. In this case, the object detection unit 221 can determine the position (latitude and longitude) of the object to be detected based on the direction of the object to be detected based on each of the installation positions of the multiple underwater acoustic sensors 10 and the installation positions of the multiple underwater acoustic sensors 10.

[Determination unit 222]
In this way, the object detection unit 221 can detect a ship or a diver as a detection object based on the sound detected by the underwater acoustic sensor 10. However, it is generally difficult to identify whether a ship detected as a detection object is a legitimate ship or a poaching ship. For example, if a legitimate ship and a poaching ship are equipped with the same type of engine, it is difficult to identify whether the ship that emitted the sound is a legitimate ship or a poaching ship based only on the sound detected by the underwater acoustic sensor 10.

For example, the mechanical sounds of a ship's engine and the water-sinking sounds of a ship's propeller rotation may sound different depending on the external environment (e.g., seawater sounds, salinity, etc.). Therefore, it is unlikely that sounds emitted by the same ship in different environments can be correctly recognized as sounds emitted by the same ship from the sounds detected by the underwater acoustic sensor 10 alone. Therefore, there is a demand for technology that can accurately identify whether a ship detected as a detection target is a legitimate ship or a poaching ship. Similarly, there is a demand for technology that can accurately identify whether a diver detected as a detection target is a legitimate diver or a poaching diver.

Therefore, in an embodiment of the present invention, instead of the position information of the official ship 50, the position information of the on-board terminal 40 moving together with the official ship 50 is used. That is, the determination unit 222 determines the relationship between the official ship 50 and the detected object based on the position information of the on-board terminal 40 moving together with the official ship 50 and the position information of the detected object detected by the object detection unit 221. This makes it possible to more accurately determine whether the detected object detected by the object detection unit 221 is a genuine ship (or whether it is a genuine diver).

In more detail, the determination unit 222 calculates the distance between the position indicated by the position information of the on-board terminal 40 and the position indicated by the position information of the detected object (i.e., the distance between the on-board terminal 40 and the detected object). The determination unit 222 then determines the relationship between the official ship 50 and the detected object by determining the relationship between the calculated distance between the on-board terminal 40 and the detected object and a preset threshold value. Below, a detailed description is given of the determinations made when a ship and a diver are detected by the object detection unit 221.

Figure 8 is a diagram showing a detailed example of the operation when a ship is detected by the object detection unit 221. For example, when the object detection unit 221 does not detect a ship ("NO" in S41), the determination unit 222 shifts the operation to S41. On the other hand, when the object detection unit 221 detects a ship ("YES" in S41), the determination unit 222 determines whether or not "on-board terminal position information" is present in the official ship information 233 (Figure 6) (S42). When the determination unit 222 determines that "on-board terminal position information" is not present in the official ship information 233 (Figure 6) ("NO" in S42), the determination unit 222 shifts the operation to S46. On the other hand, when the determination unit 222 determines that "on-board terminal position information" is present in the official ship information 233 (Figure 6) ("YES" in S42), the determination unit 222 shifts the operation to S43.

Then, the determination unit 222 acquires "on-board terminal position information" from the regular ship information 233 (Figure 6) as the position information of the on-board terminal 40, and calculates the distance between the position indicated by the position information of the ship detected by the object detection unit 221 and the position indicated by the position information of the on-board terminal 40 (i.e., the distance between the ship detected by the object detection unit 221 and the on-board terminal 40) (S43).Then, the determination unit 222 determines the relationship between the distance between the ship detected by the object detection unit 221 and the on-board terminal 40 and a first threshold value set in advance (S44).

When the distance between the ship detected by the object detection unit 221 and the on-board terminal 40 is equal to or less than the first threshold value ("NO" in S44), the determination unit 222 determines that the ship detected by the object detection unit 221 is the same as the official ship 50. In other words, the determination unit 222 determines that the ship detected by the object detection unit 221 is the official ship (S45). This is based on the idea that if the detected object and the official ship 50 are the same, even if a difference occurs between the detected object and the official ship 50, the difference should be equal to or less than the first threshold value.

On the other hand, when the distance between the ship detected by the object detection unit 221 and the on-board terminal 40 is greater than the first threshold value ("YES" in S44), the determination unit 222 determines that the ship detected by the object detection unit 221 is not the same as the legitimate ship 50. In other words, the determination unit 222 determines that the ship detected by the object detection unit 221 is a poaching ship. Note that when the distance between the ship detected by the object detection unit 221 and the on-board terminal 40 is equal to the first threshold value, the ship detected by the object detection unit 221 may be determined to be a poaching ship.

Figure 9 is a diagram showing a detailed example of the operation when a diver is detected by the object detection unit 221. For example, when the object detection unit 221 does not detect a diver ("NO" in S51), the determination unit 222 shifts the operation to S51. On the other hand, when the object detection unit 221 detects a diver ("YES" in S51), the determination unit 222 determines whether or not "on-board terminal position information" is present in the official ship information 233 (Figure 6) (S52). When the determination unit 222 determines that "on-board terminal position information" is not present in the official ship information 233 (Figure 6) ("NO" in S52), the determination unit 222 shifts the operation to S56. On the other hand, when the determination unit 222 determines that "on-board terminal position information" is present in the official ship information 233 (Figure 6) ("YES" in S52), the determination unit 222 shifts the operation to S53.

Then, the determination unit 222 acquires "on-board terminal position information" from the official ship information 233 (Figure 6) as the position information of the on-board terminal 40, and calculates the distance between the position indicated by the position information of the diver detected by the object detection unit 221 and the position indicated by the position information of the on-board terminal 40 (i.e., the distance between the diver detected by the object detection unit 221 and the on-board terminal 40) (S53).The determination unit 222 then determines the relationship between the distance between the diver detected by the object detection unit 221 and the on-board terminal 40 and a second threshold value set in advance (S54).

When the distance between the diver detected by the object detection unit 221 and the onboard terminal 40 is equal to or less than the second threshold value ("NO" in S54), the determination unit 222 determines that the diver detected by the object detection unit 221 has at least temporarily moved with the official ship 50. In other words, the determination unit 222 determines that the diver detected by the object detection unit 221 is a regular diver (S55). This is based on the idea that if a regular diver has at least temporarily moved with the official ship 50, even if a difference occurs between the detected object and the official ship 50, the difference should be equal to or less than the second threshold value.

On the other hand, if the distance between the diver detected by the object detection unit 221 and the on-board terminal 40 is greater than the second threshold value ("YES" in S54), the determination unit 222 determines that the diver detected by the object detection unit 221 is not moving with the official ship 50, even temporarily. In other words, the determination unit 222 determines that the diver detected by the object detection unit 221 is a poaching diver. Note that if the distance between the diver detected by the object detection unit 221 and the on-board terminal 40 is equal to the second threshold value, the diver detected by the object detection unit 221 may be determined to be a poaching diver.

Note that while the official ship 50 continues to move together with the on-board terminal 40, it is assumed that the official diver will fish away from the official ship 50 even if he or she temporarily moves together with the official ship 50. In other words, it is assumed that the distance between the official diver and the on-board terminal 40 may be greater than the distance between the official ship 50 and the on-board terminal 40. Thus, the first threshold for determining whether or not the ship detected by the object detection unit 221 is an official ship and the second threshold for determining whether or not the ship detected by the object detection unit 221 is an official diver may be set to a larger value. As an example, the first threshold may be any value between 20 and 30 m, and the second threshold may be any value between 200 and 300 m.

As described above, if the object to be detected and the official ship 50 are the same, even if a difference occurs between the object to be detected and the official ship 50, the difference should be equal to or less than the first threshold. Also, if the official diver traveled at least temporarily with the official ship 50, even if a difference occurs between the object to be detected and the official ship 50, the difference should be equal to or less than the second threshold. As described above, the location information of the on-board terminal 40 managed by the server 20 is continuously updated (for example, continuously along a time series), and the determination unit 222 obtains the location information of the on-board terminal 40 from the server 20 based on the detection of the object to be detected, and determines the relationship between the distance and the threshold, which is thought to increase the possibility that the difference will be equal to or less than a certain threshold.

When the determination unit 222 determines that the detected object is a poaching boat or a poaching diver, it outputs the type of detected object (i.e., whether it is a poaching boat or a poaching diver), the sensor ID of the underwater acoustic sensor 10 that detected the detected object, and the position of the detected object to the detection notification unit 223. Note that instead of the position of the detected object, the direction of the detected object based on the installation position of the underwater acoustic sensor 10 may be output to the detection notification unit 223.

In the embodiment of the present invention, it is mainly assumed that the object detection unit 221 is present in the server 20. However, if an analysis device (not shown) is present between the underwater acoustic sensor 10 and the server 20, the object detection unit 221 may be incorporated in the analysis device. In such a case, the analysis device receives the sensor data obtained by the underwater acoustic sensor 10. Then, when the analysis device detects an object to be detected based on the acquired sensor data, it only needs to transmit to the server 20 the direction or position information of the object to be detected, the type of the object to be detected, and the sensor ID of the underwater acoustic sensor 10 in which the object to be detected was detected.

[Detection notification unit 223]
The detection notification unit 223 outputs an alarm (issues a warning) based on the determination unit 222 determining that the distance is greater than the threshold (i.e., based on the determination unit 222 determining that the detected object is a poaching ship or a poaching diver). This can prevent false alarms. More specifically, the detection notification unit 223 controls the communication unit 240 so that identification information corresponding to the information on the detection and the type of the detected object are transmitted to the monitor terminal 30 previously associated with the underwater acoustic sensor 10 (more specifically, to the monitor terminal 30 indicated by the "notification destination address" associated with the "sensor ID" of the underwater acoustic sensor 10 in the sensor information 231) prior to the information on the detection itself. This notifies the monitor terminal 30 of the detection of the detected object. The identification information may be an example of an alarm. On the other hand, the detection notification unit 223 does not output an alarm (issues a warning) based on the determination unit 222 determining that the distance is less than the threshold (i.e., based on the determination unit 222 determining that the detected object is a legitimate ship or a legitimate diver).

In the following, it is assumed that the identification information is a URL (Uniform Resource Locator) indicating the location of information related to detection. The URL indicating the location of information related to detection may be formed based on a document RFC (Request For Comment) (e.g., RFC2396 or RFC3986) issued by the Internet Engineering Task Force (IETF), an organization that defines standards for Internet-related technologies. For example, RFC3986 indicates that a general Uniform Resource Identifier (URI) syntax consists of a hierarchical sequence of components called scheme, authority, path, query, and fragment, and specifies "URI=scheme":"hier-part["? The URL indicating the location of the information related to detection is, for example, "https://sensor.server.jp/poaching/999". The URL "https://sensor.server.jp/poaching/999" indicating the location of the information related to detection is composed of identification information (scheme name) "https" indicating a scheme, identification information (host name) "sensor.server.jp" indicating the address of the HTTP (HyperText Transfer Protocol) server (server 20), and identification information "/poaching/999" indicating a path ("999" is identification information indicating a program or Web page that provides information related to detection). However, the identification information is not limited to a URL as long as it is information capable of identifying information related to the detection. For example, the identification information may be characters or an image corresponding to a URL indicating the location of information related to the detection. In this case, the characters or an image corresponding to the URL indicating the location of information related to the detection may be characters or an image different from the URL indicating the location of information related to the detection.

As described above, the means of notifying detection is not limited, but when detection is notified by a detection email (email), the detection notification unit 223 may control the detection email to be sent to the monitor terminal 30, the body of which includes a URL string indicating the location of information related to the detection. When detection is notified by a detection email (HTML email), the detection notification unit 223 may control the detection email to be sent to the monitor terminal 30, the body of which includes characters, images, etc. corresponding to the URL indicating the location of information related to the detection. Specific examples of information related to the detection will be described later.

[Detection Email]
FIG. 10 is a diagram showing an example of a detection email. As shown in FIG. 10, the detection email G10 includes a sender, a subject, a transmission date and time (of the detection email), a destination (of the detection email), and a text body. In the text body, "poaching boat" and "poacher" are described as examples of the type of object to be detected. In addition, a URL (B10) (https://sensor.server.jp/poaching/999) indicating the location of information related to the detection is described. In the monitor terminal 30, when the communication unit 340 receives the detection email G10, the control unit 320 controls the display unit 350 so that the detection email G10 is displayed by the display unit 350. Note that the monitor terminal 30 (control unit 320) may be a type that automatically displays the detection email G10 when the detection email G10 is received, or may be a type that controls the display unit 350 to display the detection email G10 in response to the operation of the monitor.

When the monitor wishes to check information related to the detection, the monitor performs a selection operation of the URL (B10) on the input unit 310. For example, if the input unit 310 includes a touch panel, the selection operation may be a tap operation on the touch panel. Alternatively, if the input unit 310 includes a mouse, the selection operation may be a click operation using the mouse. In addition, the selection operation may be changed appropriately depending on the type of the input unit 310. Note that if the URL (B10) indicating the location of the information related to the detection is characters or an image corresponding to the URL indicating the location of the information related to the detection, the monitor performs a selection operation of the characters or an image corresponding to the URL indicating the location of the information related to the detection on the input unit 310 when the monitor wishes to check information related to the detection.

When the input unit 310 accepts a URL selection operation (selection operation of characters, images, etc. corresponding to the URL), the control unit 320 controls the communication unit 340 so that a data transmission request corresponding to the URL (characters, images, etc. corresponding to the URL) is sent to the server 20. For example, the control unit 320 controls the communication unit 340 so that an HTTP GET request containing a GET method (characters "GET") and a request target "https://sensor.server.jp/poaching/999" (characters) in the request line is sent to the server 20 as a data transmission request (HTTP message). Here, the request target "https://sensor.server.jp/poaching/999" in the data transmission request is a URL (B10) indicating the location of information related to detection contained in the detection email G10.

In addition, if the monitor contacts another person using some contact function (e.g., telephone function, email function, etc.) on the monitor terminal 30 within a predetermined time after the monitor performs the selection operation, the name (contact name) of the other person who received the contact from the monitor and the contact information of the other person (notification address and/or contact phone number) may be notified from the monitor terminal 30 to the server 20. At this time, the server 20 may newly register the name of the other person notified from the monitor terminal 30 as a "contact name" in the sensor information 231 (FIG. 4), and newly register the name of the other person and the contact information of the other person notified from the monitor terminal 30 as a "contact name" and a "notification address (and/or contact phone number)" in the notification information 232 (FIG. 5). The server 20 may then send a detection email G10 to the other person, in addition to the monitor, based on the newly registered contact information of the other person. By newly registering the notification address in the notification destination information 232 (Figure 5), the server 20 can resend the detection email G10 that has already been sent to the monitor terminal 30 to the notification destination address of the other person, and can include the notification destination address of the other person when sending a new detection email G10 to the monitor terminal 30.

[Request Acquisition Unit 224]
3, when the communication unit 240 of the server 20 receives a data transmission request corresponding to the URL from the monitor terminal 30, the request acquisition unit 224 acquires the data acquisition request corresponding to the URL from the communication unit 240.

[Data Acquisition Unit 225]
The data acquisition unit 225 acquires information about the detection corresponding to the URL when a data transmission request corresponding to the URL is acquired by the request acquisition unit 224. In the embodiment of the present invention, it is assumed that the information about the detection includes a map corresponding to the installation position of the underwater acoustic sensor 10 where the detection target object is detected.

In the embodiment of the present invention, it is mainly assumed that the data acquisition unit 225 acquires a map from a predetermined map providing API (Application Programming Interface). In such a case, the data acquisition unit 225 can obtain a map of the range centered on the reference point from the map providing API by notifying the map providing API of the reference point of the map to be acquired and the range of the map centered on the reference point (e.g., zoom).

The map providing API is therefore an interface specification for communication between the map providing program that manages and provides map information and the data acquisition unit 225, and is a program that exists between the map providing program that provides map information and the data acquisition unit 225. The map providing API may be contained within the map providing program, or may exist as a program separate from the map providing program.

The map providing program and the map providing API may be located in the server 20, or in an external server other than the server 20. When the map providing program and the map providing API are located in the server 20, map information is stored in the memory unit 230, and the data acquisition unit 225 can acquire the map from the memory unit 230 via the map providing API. When the map providing program and the map providing API are located in an external server other than the server 20, map information is stored in the external server, and the data acquisition unit 225 can acquire the map from the external server via the network and the map providing API.

For example, if the map providing program and map providing API are located on an external HTTP server other than the server 20, and the data acquisition unit 225 acquires a map from a specific map providing API, HTTP can be used. In this case, the external HTTP server is a map providing server that manages map information and provides maps over a network based on the HTTP communication protocol, so the map providing API may be referred to as a map providing Web API (map providing Web service).

Here, the reference point may be the installation position of the underwater acoustic sensor 10 that is pre-associated with the monitor terminal 30. In this case, it is preferable that the range of the map is determined so as to include the detectable range of the underwater acoustic sensor 10 that is pre-associated with the monitor terminal 30.

Alternatively, if there are multiple underwater acoustic sensors 10 that are pre-associated with the monitor terminal 30, the reference point may be a position (e.g., a center of gravity position) corresponding to the installation positions of the multiple underwater acoustic sensors 10. In this case, it is desirable to determine the range of the map so that it includes the detectable ranges of all of the multiple underwater acoustic sensors 10 that are pre-associated with the monitor terminal 30.

Alternatively, the reference point may be the installation position of the underwater acoustic sensor 10 that detects the detection target, among one or more underwater acoustic sensors 10 that are pre-associated with the monitor terminal 30. In this case, it is preferable that the range of the map is determined so as to include the detection range of the underwater acoustic sensor 10 that detects the detection target.

Furthermore, in an embodiment of the present invention, it is assumed that the information regarding the detection includes additional information other than the map. However, it is sufficient that the information regarding the detection includes at least one of the map and the additional information.

In an embodiment of the present invention, it is assumed that the additional information includes a contact name and contact phone number (FIG. 5) that are pre-associated with the underwater acoustic sensor 10 that detected the detection target. Note that the contact name and contact phone number are examples of information related to the notification destination, and therefore, instead of the notification destination name and contact phone number, information related to another notification destination (e.g., notification destination address, etc.) may be included in the additional information.

Furthermore, in the embodiment of the present invention, it is assumed that the additional information includes sensor status information (FIG. 4) of the underwater acoustic sensor 10 where the detection target object was detected. Also, in the embodiment of the present invention, it is assumed that the additional information includes weather information corresponding to the installation position of the underwater acoustic sensor 10 where the detection target object was detected.

Furthermore, in an embodiment of the present invention, it is assumed that the additional information includes the date and time of the detection email transmission to the monitor terminal 30 (the date and time of the detection email transmission). However, the additional information may include the date and time of detection of the detection object (the date and time of detection of the detection object) instead of the date and time of the detection email transmission to the monitor terminal 30, or in addition to the date and time of the detection email transmission to the monitor terminal 30.

[Data providing unit 226]
The data providing unit 226 controls the communication unit 240 so that information related to the detection is sent to the monitor terminal 30. For example, the data providing unit 226 controls the communication unit 240 so that an HTTP response including information related to the detection is returned to the monitor terminal 30 in response to an HTTP GET request.

[Detection screen]
In the monitor terminal 30, when the communication unit 340 receives information related to the detection, the control unit 320 acquires the information related to the detection. The control unit 320 controls the display unit 350 so that a detection screen is displayed on the display unit 350 based on the information related to the detection. The monitor can grasp the information related to the detection by looking at the detection screen displayed on the display unit 350. Examples of the detection screen will be described below with reference to Figs. 11 to 16.

Fig. 11 is a diagram showing an example of a detection screen G20 when a detection target is detected by one underwater acoustic sensor 10. Referring to Fig. 11, the detection screen G20 includes an area where a map is displayed (map display area W21) and an area where additional information is displayed (additional information display area W22). Referring to the map display area W21, an object representing a sensor (sensor object B211) has been added by the data acquisition unit 225 to a position on the map (sensor position on the map) corresponding to the installation position of the underwater acoustic sensor 10 where the detection target was detected.

Here, we assume that the underwater acoustic sensor 10 is equipped with both a high-frequency acoustic sensor and a low-frequency acoustic sensor. With reference to the map display area W21, the data acquisition unit 225 has added an object (poacher detection direction object D211) based on the sensor position on the map to the direction on the map corresponding to the poacher's bearing (detected by the high-frequency acoustic sensor). Furthermore, with reference to the map display area W21, the data acquisition unit 225 has added an object (poacher boat detection direction object D212) based on the sensor position on the map to the direction on the map corresponding to the poacher's bearing (detected by the low-frequency acoustic sensor).

In the example shown in FIG. 11, the poacher detection direction object D211 and the poaching boat detection direction object D212 are distinguished by differences in color and size, but the poacher detection direction object D211 and the poaching boat detection direction object D212 may be distinguished in other ways. For example, the poacher detection direction object D211 and the poaching boat detection direction object D212 may be distinguished by differences in shape.

In the example shown in FIG. 11, the shape of each of the poacher detection direction object D211 and the poaching boat detection direction object D212 is a sector, but the shapes of each of the poacher detection direction object D211 and the poaching boat detection direction object D212 are not limited to these. For example, the shape of each of the poacher detection direction object D211 and the poaching boat detection direction object D212 may be a triangle whose apex is located at the sensor position on the map.

Note that, with reference to FIG. 11, the sector radius of the poaching boat detection direction object D212 is larger than the sector radius of the poacher detection direction object D211. This is because the size of the detectable range of the acoustic sensor is reflected in the radius of each sector (i.e., the detectable range of a low-frequency acoustic sensor for detecting poaching boats is wider than that of a high-frequency acoustic sensor for detecting poachers). Here, as an example, it is assumed that the detectable range of the high-frequency acoustic sensor (hereinafter also referred to as the "high-frequency detection range") is a radius of 500 m, and the detectable range of the low-frequency acoustic sensor (hereinafter also referred to as the "low-frequency detection range") is a radius of 1000 m.

Furthermore, referring to the map display area W21, the map includes an object (display size adjustment object D272) for adjusting the display size of the map. This allows the monitor to input a zoom-in or zoom-out operation to the input unit 310 using the display size adjustment object D272, whereby the zoomed-in or zoomed-out map is provided from the server 20 to the monitor terminal 30, and the zoomed-in or zoomed-out map is newly displayed by the display unit 350.

Furthermore, when referring to the map display area W21, the map includes a width on the map that corresponds to the width in real space as a scale bar. "100m" is displayed as an example of the width in real space. By checking the scale bar, the observer can understand the correspondence between the width on the map and the width in real space. In addition, when referring to the map display area W21, a display switching object B210 has been added to the map by the data acquisition unit 225. The display switching object B210 will be described later.

The additional information display area W22 includes a "last updated date and time" that indicates the date and time when the map was last updated. The additional information display area W22 also includes a "status: poaching detected" that indicates the status of the system. The additional information display area W22 also includes an additional information display switch button B221. The additional information display switch button B221 will be described later. In addition, the additional information display area W22 includes a "detection email sent date and time", but as described above, the detection date and time of the object to be detected may be included instead of or in addition to the "detection email sent date and time".

Furthermore, the additional information display area W22 includes a clear button B222. By selecting the clear button B222 through the input unit 310, the monitor can have the server 20 clear the detection email transmission date and time. Once a detection email has been sent to the monitor terminal 30, it is usual that the detection email is not sent to the monitor terminal 30 for a certain period of time even if the detection target is detected again. However, after the clear button B222 is selected, a detection email is sent to the monitor terminal 30 when the detection target is detected again, even if the certain period of time has not yet elapsed.

In addition, the additional information display area W22 includes a "contact list." The "contact list" is a list of contact names and contact phone numbers (FIG. 5) that are pre-associated with the underwater acoustic sensor 10 in which the detection target object has been detected. However, as described above, the contact name and contact phone number are examples of information related to the notification destination, and therefore, instead of the notification destination name and contact phone number, information related to other notification destinations (e.g., security companies, police, etc.) (e.g., notification destination addresses, etc.) may be included in the additional information display area W22.

Here, the area on the map corresponding to the high frequency detection range and the area on the map corresponding to the low frequency detection range may be switched between displayed and hidden by a predetermined operation by the monitor (hereinafter also referred to as a "detection range display switching operation"). For example, the detection range display switching operation may be a selection operation of the sensor object B211. Alternatively, an object for performing the detection range display switching operation may be provided separately from the sensor object B211.

Although not displayed in the map display area W21 of FIG. 11, if the determination unit 222 determines that the detected object is a legitimate ship or a legitimate diver, the data providing unit 226 may provide the location information of the legitimate ship or diver to the monitor terminal 30 and cause the monitor terminal 30 to display the location information of the legitimate ship or diver. For example, the data providing unit 226 may cause the monitor terminal 30 to display a map on which a specified object has been added at a position corresponding to the position of the legitimate ship or diver.

However, there may be cases where it is better not to display the position of official ships. For example, for a person who uses an official ship to fish, letting others know the position of the official ship may lead to others knowing the position of his or her own fishing grounds. Therefore, when a detected object satisfies a predetermined condition, the data providing unit 226 may not provide the position information of the official ship to the monitor terminal 30, and may not display the position information of the official ship on the monitor terminal 30.

In an embodiment of the present invention, when the display type (official ship information 233 in FIG. 6) of the onboard terminal 40 installed on a regular ship detected by the object detection unit 221 is "display," the data providing unit 226 causes the monitor terminal 30 to display the position information of the official ship. On the other hand, when the display type of the onboard terminal 40 installed on a regular ship detected by the object detection unit 221 is "non-display," the data providing unit 226 does not cause the monitor terminal 30 to display the position information of the official ship. However, the data providing unit 226 may control whether or not to display the position information of the official line by using other methods.

For example, instead of the "display type," the on-board terminal 40 may be associated in advance with whether or not the ship on which the on-board terminal 40 is mounted is a "ship authorized to operate in the fishing ground" monitored by the underwater acoustic sensor 10. In such a case, when the on-board terminal 40 is associated with a "ship authorized to operate in the fishing ground," the data providing unit 226 causes the monitor terminal 30 to display the position information of the official ship. On the other hand, when the on-board terminal 40 is not associated with a "ship authorized to operate in the fishing ground" (or is associated with a ship that may navigate the fishing ground (e.g., a Japan Coast Guard ship, a police ship, a transport ship, a coastal construction ship, etc.)), the data providing unit 226 does not cause the monitor terminal 30 to display the position information of the official ship on the monitor terminal 30.

Figure 12 is a diagram showing an example of a range on a map corresponding to a detection range. In the example shown in Figure 12, it is assumed that a selection operation of sensor object B211 is input to the input unit 310 by the monitor as an example of a detection range display switching operation. In such a case, the data acquisition unit 225 adds a range D213 on the map corresponding to the high frequency detection range and a range D214 on the map corresponding to the low frequency detection range to the map, and the range D214 on the map corresponding to the low frequency detection range is displayed by the display unit 350. Note that when the detection range display switching operation is input again, the range D213 on the map corresponding to the high frequency detection range and the range D214 on the map corresponding to the low frequency detection range may be hidden.

Figure 13 is a diagram showing an example in which a selection operation of the display switching object B210 is input. The display switching object B210 is an object for switching between displaying and not displaying information about the underwater acoustic sensor 10. Such a display switching object B210 is added to the map by the data acquisition unit 225.

In the example shown in FIG. 13, the sensor name D217 of the underwater acoustic sensor 10 is added to the map as an example of information related to the underwater acoustic sensor 10. Other examples of information related to the underwater acoustic sensor 10 include information D215 related to the acoustic sensor that detected the poacher (the "detection time" of the poacher, the "direction" of the poacher relative to the sensor, and the "radius" of the high-frequency detection range) and information D216 related to the acoustic sensor that detected the poaching boat (the "detection time" of the poaching boat, the "direction" of the poaching boat relative to the sensor, and the "radius" of the low-frequency detection range).

When the display switching object B210 is deselected, the sensor name D217, information D215 about the acoustic sensor that detected the poacher, and information D216 about the acoustic sensor that detected the poaching vessel may be hidden.

Figure 14 is a diagram showing an example of when the additional information display area W22 is scrolled. Here, it is assumed that the monitor inputs a scroll operation of the additional information display area W22 downwards to the input unit 310. At this time, the additional information display area W22 includes "weather information" and "map legend".

The "map legend" describes the change in the state of the sensor object B211 according to the sensor state information. Here, a case is shown in which the shape of the sensor object B211 changes according to the sensor state information. However, the way in which the data acquisition unit 225 changes the state of the sensor object B211 according to the sensor state information is not limited to this example. For example, the sensor object B211 may change color according to the sensor state information. Alternatively, text data indicating the sensor state information may be added to the sensor object B211 (for example, as a speech bubble).

Now, assume that the monitor selects the additional information display switch button B221 through the input unit 310. At this time, the data acquisition unit 225 hides the additional information display area W22. This allows a wider area of the map to be displayed (the map display area W21 becomes wider). When the monitor selects the additional information display switch button (not shown) through the input unit 310, the data acquisition unit 225 may display the additional information display area W22 again.

Figure 15 is a diagram showing an example of a detection screen G20 when a detection target is detected by two underwater acoustic sensors 10. Referring to the map display area W21, the data acquisition unit 225 has added an object representing a sensor (sensor object B211) to a position on the map (sensor position on the map) corresponding to the installation position of the first underwater acoustic sensor 10 where the detection target was detected. Furthermore, the data acquisition unit 225 has added an object representing a sensor (sensor object B212) to a position on the map (sensor position on the map) corresponding to the installation position of the second underwater acoustic sensor 10 where the detection target was detected.

Here, we consider a case where an object to be detected is detected by two underwater acoustic sensors 10, and thus not only the orientation of the object to be detected based on the installation positions of the two underwater acoustic sensors 10 but also the position of the object to be detected is identified. In such a case, the data acquisition unit 225 may add some kind of object to the map to make the position of the object to be detected recognizable.

In the example shown in FIG. 15, a poacher detection direction object D231 corresponding to the first underwater acoustic sensor 10 and a poacher detection direction object D241 corresponding to the second underwater acoustic sensor 10 are added, and the position of the poacher on the map is indicated (by the overlapping area of the two poacher detection direction objects).

Similarly, in the example shown in FIG. 15, a poaching vessel detection direction object D232 corresponding to the first underwater acoustic sensor 10 and a poaching vessel detection direction object D242 corresponding to the second underwater acoustic sensor 10 are added, and the position of the poaching vessel on the map is indicated (by the overlapping area of the two poaching vessel detection direction objects).

In the example shown in FIG. 15, it is assumed that a selection operation for the display switching object B210 has been input. Therefore, the sensor name D237 of the first underwater acoustic sensor 10 and the sensor name D247 of the second underwater acoustic sensor 10 are added to the map. Other examples of information related to the underwater acoustic sensor 10 include information D251 related to the acoustic sensor that detected the poacher (the "detection time" of the poacher, and the "latitude and longitude" of the poacher), and information D261 related to the acoustic sensor that detected the poaching vessel (the "detection time" of the poaching vessel, and the "latitude and longitude" of the poaching vessel).

Objects that are added to the map to make the location of the detected object recognizable are not limited to these examples.

Figure 16 is a diagram showing a first modified example of the detection screen G20 when a detection object is detected by two underwater acoustic sensors 10. Referring to the map display area W21, an object D252 representing a poacher has been added by the data acquisition unit 225 to a position on the map corresponding to the position of the poacher. Furthermore, an object D262 representing a poaching boat has been added by the data acquisition unit 225 to a position on the map corresponding to the position of the poaching boat. This display also allows the position of the detection object to be recognized by the observer.

[1-2. System Operation]
Next, an operation example of the poaching countermeasure IoT system according to the embodiment of the present invention will be described. Fig. 17 is a flowchart showing an operation example of the poaching countermeasure IoT system according to the embodiment of the present invention. First, as shown in Fig. 17, the underwater acoustic sensor 10 obtains sensor data by performing sensing underwater. The underwater acoustic sensor 10 transmits the sensor data to the server 20 (S11).

In the server 20, the communication unit 240 receives the sensor data (S21). The object detection unit 221 attempts to detect the object based on the sensor data. If the object detection unit 221 does not detect the object (NO in S22), the operation proceeds to S11. On the other hand, if the object detection unit 221 detects the object (YES in S22) and the determination unit 222 determines that the object is a poaching boat or a poaching diver, the detection notification unit 223 acquires a URL for displaying a map (S23) and controls the communication unit 240 to send a detection email including the URL to the monitor terminal 30 (S24).

In the monitor terminal 30, when the communication unit 340 receives a detection email (S31), the display unit 350 displays the detection email. If the monitor does not input a click operation on the URL included in the detection email to the input unit 310 ("NO" in S32), the operation proceeds to S11. On the other hand, if the monitor inputs a click operation on the URL included in the detection email to the input unit 310 ("YES" in S32), the control unit 320 controls the communication unit 340 so that a map display request is sent to the server 20 as an example of a data transmission request (S33).

In the server 20, when the communication unit 240 receives a map display request (S25), the request acquisition unit 224 acquires the map display request. When the data acquisition unit 225 acquires the map (and additional information) corresponding to the URL, it controls the communication unit 240 so that the acquired map (and additional information) is transmitted to the monitor terminal 30 (S26). In the monitor terminal 30, when the communication unit 340 receives the map (and additional information) (S34), the display unit 350 displays the map (and additional information) (S35). S34 and S35 may be executed repeatedly at predetermined time intervals. As a result, the map (and additional information) displayed by the display unit 350 is updated at predetermined time intervals.

The above describes an example of the operation of the anti-poaching IoT system according to an embodiment of the present invention.

[2. Hardware configuration example]
Next, a hardware configuration example of the server 20 according to the embodiment of the present invention will be described. However, the hardware configuration examples of the supervisor terminal 30 and the on-board terminal 40 according to the embodiment of the present invention can also be realized in the same manner.

Below, an example of the hardware configuration of the information processing device 900 will be described as an example of the hardware configuration of the server 20 according to an embodiment of the present invention. Note that the example of the hardware configuration of the information processing device 900 described below is merely one example of the hardware configuration of the server 20. Therefore, the hardware configuration of the server 20 may be such that unnecessary components are deleted from the hardware configuration of the information processing device 900 described below, or new components may be added.

Fig. 18 is a diagram showing the hardware configuration of an information processing device 900 as an example of a server 20 according to an embodiment of the present invention. The information processing device 900 includes a CPU (Central Processing Unit) 901, a ROM (Read Only Memory) 902, a RAM (Random Access Memory) 903, a host bus 904, a bridge 905, an external bus 906, an interface 907, an input device 908, an output device 909, a storage device 910, and a communication device 911.

The CPU 901 functions as an arithmetic processing device and control device, and controls the overall operation of the information processing device 900 in accordance with various programs. The CPU 901 may also be a microprocessor. The ROM 902 stores programs and arithmetic parameters used by the CPU 901. The RAM 903 temporarily stores programs used in the execution of the CPU 901 and parameters that change appropriately during the execution. These are interconnected by a host bus 904 consisting of a CPU bus, etc.

The host bus 904 is connected to an external bus 906, such as a PCI (Peripheral Component Interconnect/Interface) bus, via a bridge 905. Note that the host bus 904, bridge 905, and external bus 906 do not necessarily need to be configured separately, and these functions may be implemented on a single bus.

The input device 908 is composed of input means for the user to input information, such as a mouse, keyboard, touch panel, button, microphone, switch, and lever, and an input control circuit that generates an input signal based on the user's input and outputs it to the CPU 901. A user who operates the information processing device 900 can input various data to the information processing device 900 and instruct processing operations by operating this input device 908.

The output device 909 includes, for example, display devices such as a CRT (Cathode Ray Tube) display device, a Liquid Crystal Display (LCD) device, an OLED (Organic Light Emitting Diode) device, and a lamp, as well as audio output devices such as a speaker.

The storage device 910 is a device for storing data. The storage device 910 may include a storage medium, a recording device for recording data on the storage medium, a reading device for reading data from the storage medium, and a deleting device for deleting data recorded on the storage medium. The storage device 910 is configured, for example, with a HDD (Hard Disk Drive). This storage device 910 drives the hard disk and stores the programs executed by the CPU 901 and various data.

The communication device 911 is, for example, a communication interface configured with a communication device for connecting to a network. The communication device 911 may support either wireless communication or wired communication.

The above describes an example of the hardware configuration of the server 20 according to an embodiment of the present invention.

3. Summary
As described above, according to an embodiment of the present invention, an information processing device is provided that includes a determination unit that determines a relationship between a management object and a detection object based on position information of the measurement object that moves together with the management object and position information of the detection object detected based on sensor data obtained by a sensor. With this configuration, it is possible to further improve convenience for users.

The above describes in detail preferred embodiments of the present invention with reference to the attached drawings, but the present invention is not limited to such examples. It is clear that a person with ordinary knowledge in the technical field to which the present invention pertains can conceive of various modified or revised examples within the scope of the technical ideas described in the claims, and it is understood that these also naturally fall within the technical scope of the present invention.

In the above, the term "poaching" is used as a term meaning "secret fishing in violation of the law." Here, the term "poaching" should not be interpreted narrowly as a term meaning only the collection of seafood, but should be interpreted broadly as a term meaning organisms other than seafood. For example, "poaching" can also include the collection of mammals that live in water (e.g., dolphins, seals, etc.). In other words, while the term "poaching" is commonly used as a term meaning the collection of mammals that live in water, the "poaching" used in the embodiment of the present invention does not exclude "poaching" that means the collection of mammals that live in water.

4. Other embodiments
The embodiment of the present invention may also be applied to detection of smuggling, stowaway, illegal dumping (e.g., dumping of oil and waste), illegal acquisition of seabed resources (e.g., illegal acquisition of crude oil, natural gas, methane hydrate, etc.), and piracy. In addition, the embodiment of the present invention may detect poaching based on the sensing results of a sensor other than the underwater acoustic sensor 12 by the server 20.

[4.1. Application to anti-smuggling measures]
For example, when the embodiment of the present invention is applied to anti-smuggling measures, the system according to the embodiment of the present invention becomes an "anti-smuggling IoT system." In this case, the detection targets are various objects used in smuggling, such as smuggling ships and smugglers, and smuggling can be monitored by a user. By setting smuggling ships and smugglers as the detection targets, the "anti-smuggling IoT system" aims to solve a social problem and can be implemented more suitably.

When an embodiment of the present invention is applied to anti-smuggling measures, it is possible to provide an information processing device that includes a determination unit that determines the relationship between a controlled object and a detected object based on position information of the detected object detected based on sensor data received from sensors placed in areas where smuggling ships and smugglers may be active, and position information of a measured object that moves together with the controlled object. With this configuration, it is possible to further improve convenience for users.

[4.2. Form applied to stowaway countermeasures]
For example, when the embodiment of the present invention is applied to countermeasures against stowaways, the system according to the embodiment of the present invention becomes an "anti-stowaway IoT system." In this case, the detection objects become various objects used for stowaways, such as stowaway ships and stowaways, and stowaways can be monitored by users. By using stowaway ships and stowaways as the detection objects, the "anti-stowaway IoT system" aims to solve a social problem and can be implemented more suitably.

When an embodiment of the present invention is applied to stowaway countermeasures, it is possible to provide an information processing device that includes a determination unit that determines the relationship between a controlled object and a detected object based on position information of the detected object detected based on sensor data received from sensors placed in areas where stowaway ships and stowaways may be active, and position information of a measured object that moves together with the controlled object. With this configuration, it is possible to further improve convenience for users.

[4.3. Form applied to illegal dumping countermeasures]
For example, when the embodiment of the present invention is applied to illegal dumping countermeasures, the system according to the embodiment of the present invention becomes an "illegal dumping countermeasure IoT system." In this case, the detection objects become various objects used in illegal dumping, such as illegal dumping vessels and illegal dumpers, and illegal dumping can be monitored by users. By detecting illegal dumping vessels and illegal dumpers as the detection objects, the "illegal dumping countermeasure IoT system" becomes one that aims to solve a social problem, and can be implemented more suitably.

When an embodiment of the present invention is applied to illegal dumping countermeasures, it becomes possible to provide an information processing device that includes a determination unit that determines the relationship between a managed object and a detected object based on position information of the detected object detected based on sensor data received from sensors placed in areas where illegal dumping vessels and illegal dumpers may be active, and position information of a measured object that moves together with the managed object. With this configuration, it becomes possible to further improve convenience for users.

[4.4. Application to measures against illegal acquisition of seabed resources]
For example, when the embodiment of the present invention is applied to measures against illegal acquisition of seabed resources, the system according to the embodiment of the present invention becomes an "IoT system for measures against illegal acquisition of seabed resources". In this case, the detection target becomes various objects used in illegal acquisition of seabed resources, such as a vessel for illegally acquiring seabed resources (e.g., a drilling ship) and an illegal acquirer of seabed resources, and the illegal acquisition of seabed resources can be monitored by a user. By setting the vessel for illegally acquiring seabed resources and the illegal acquirer of seabed resources as the detection target, the "IoT system for measures against illegal acquisition of seabed resources" becomes an object for solving a social problem and can be more suitably implemented.

When an embodiment of the present invention is applied to measures against illegal acquisition of seabed resources, it becomes possible to provide an information processing device that includes a determination unit that determines the relationship between a managed object and a detected object based on position information of the detected object detected based on sensor data received from sensors placed in areas where vessels illegally acquiring seabed resources and persons illegally acquiring seabed resources may be active, and position information of a measured object that moves together with the managed object. With this configuration, it becomes possible to further improve convenience for users.

[4.5. Application to anti-piracy measures]
For example, when the embodiment of the present invention is applied to anti-piracy measures, the system according to the embodiment of the present invention becomes an "anti-piracy IoT system." In this case, the detection objects are pirate ships and various objects used in acts of piracy such as pirates, and acts of piracy can be monitored by users. By detecting pirate ships and pirates as the detection objects, the "anti-piracy IoT system" aims to solve a social problem and can be implemented more suitably.

When an embodiment of the present invention is applied to anti-piracy measures, it becomes possible to provide an information processing device that includes a determination unit that determines the relationship between a managed object and a detected object based on position information of the detected object detected based on sensor data received from sensors placed on pirate ships and in areas where pirates may be active, and position information of a measured object that moves together with the managed object. With this configuration, it becomes possible to further improve convenience for users.

[4.6. Application to Anti-terrorism Measures]
For example, when the embodiment of the present invention is applied to anti-terrorism measures (e.g., anti-terrorism measures against important coastal facilities (such as nuclear power plants)), the system according to the embodiment of the present invention becomes a "terrorism prevention IoT system." In this case, the managed object becomes a pre-registered official ship patrolling the coast, and it can be determined whether the detected object is a suspicious ship or a suspicious diver based on the position information of an on-board terminal mounted on the official ship and the position information of the detected object.

[4.7. Application of other sensors]
In the embodiment of the present invention, the server 20 detects poaching based on the sensing results of the underwater acoustic sensor 12. However, in the embodiment of the present invention, the server 20 may detect poaching based on the sensing results of a sensor other than the underwater acoustic sensor 12. In other words, the detection target may be detected based on information other than sound. In this case, the detection target may be detected by detecting the characteristics of the detection target from the sensor data, similar to the case where the underwater acoustic sensor 12 is used as the sensor.

For example, the server 20 may detect illegal fishing based on the sensing results of active sonar, radar, laser sensors, image sensors, etc.

[4.7.1. Active sonar application]
When the server 20 detects poaching based on the sensing result of the active sonar, the poaching countermeasure IoT system 1 includes an active sonar (not shown) and detects poaching based on the detection result of the active sonar. In this case, the active sonar has a sound wave transmitting unit that emits sound waves into the water and a sound wave reflected wave receiving unit that receives reflected sound from the detection target with multiple microphones, and transmits sensor data (acoustic data, sound wave transmission time, sound wave reflected wave reception time) and sensor status information obtained by such sensing to the server 20 by wireless communication. The server 20 detects the position and distance of the detection target from the time difference between the received emitted sound and the reflected sound and the detection direction of the reflected sound obtained from the acoustic data. Then, the server 20 detects the detection target using the detection result in the same manner as in the above embodiment. Note that, unlike an active sonar that emits sound waves into the water and captures reflected sound from the detection target, the above embodiment is a passive sonar that captures sound waves generated by a detection target (e.g., a ship or a diver) that exists underwater (including the water surface).

[4.7.2. Radar Application]
When the server 20 detects poaching based on the sensing result of the radar, the poaching countermeasure IoT system 1 includes a radar (not shown) and detects poaching based on the detection result of the radar. In this case, the radar is installed in a position where sensing is possible (for example, installed on land such as the coast of the monitoring area), and has a radio wave transmitting unit that transmits radio waves such as millimeter waves or microwaves as exploration waves within the detection range via a radar antenna, and a radio wave reflected wave receiving unit that receives reflected waves from the detection target, and transmits detection data (radar data, radio wave transmission time, radio wave reflected wave reception time) and sensor status information obtained by such sensing to the server 20 by wireless communication or wired communication. The server 20 detects the position and distance of the detection target from the time difference between the received exploration wave and the reflected wave and the detection direction of the reflected wave obtained from the radar data. Then, the server 20 detects the detection target using the detection result in the same manner as in the above embodiment.

[4.7.3. Laser sensor application]
When the server 20 detects poaching based on the sensing results of a laser sensor (LRF (Laser rangefinder) or LIDAR (Light Detection and Ranging)), the poaching countermeasure IoT system 1 includes a laser sensor (not shown) and detects poaching based on the detection results of the laser sensor. In this case, the laser sensor is installed so as to be disposed in a position where sensing is possible (for example, installed on land such as the coast of the monitoring area), and has a laser light transmitting unit that transmits laser light such as visible light, ultraviolet light, X-rays, and infrared light, and a laser reflected light receiving unit that receives reflected light from the detection target, and transmits detection data (laser data, laser light transmission time, laser reflected light reception time) and sensor status information obtained by such sensing to the server 20 by wireless communication or wired communication. The server 20 detects the position and distance of the detection target from the time difference between the received laser light and the laser reflected light and the moving direction of the laser reflected wave obtained from the laser data. Then, the server 20 detects the detection target using the detection result in the same manner as in the above embodiment.

[4.7.4. Image sensor application]
When the server 20 detects poaching based on the sensing result of an image sensor (hereinafter, referred to as a camera), the poaching countermeasure IoT system 1 includes a camera (not shown) and detects poaching based on the detection result of the camera. In this case, the camera is installed in a position where sensing is possible (for example, installed on land such as the coast of the monitoring area), and the imaging data (image) obtained by such sensing and the sensor status information are transmitted to the server 20 by wireless communication or wired communication. The server 20 detects the detection object by pattern matching with image information of the detection object stored in advance. When the server 20 detects the detection object from the imaging data received from the camera outside the operation time, it may determine that the detection object is a poaching vessel or a poacher. The imaging data may be a moving image or a still image.

When the camera is a single camera, the server 20 stores multiple pieces of image information and distance information of the detected object, a ship or diver, at a predetermined distance (for example, every 1 m) from the camera installation position, which are associated in advance. The server 20 detects the distance and position of the detected object by pattern matching or the like for the captured image acquired from the camera. The information stored in advance in the server 20 may also be multiple pieces of image information of distance markers captured together with the detected object, a ship or diver.

When multiple cameras are used, server 20 may perform image processing of the detected object by parallelizing the optical axes of the multiple cameras (e.g., the optical axes of two cameras), and by overlaying each image, measure the coordinates of the detected object based on the shift amount using the principle of triangulation to identify the position. Server 20 may also detect the detected object by pattern matching the image data obtained from each of the multiple cameras, obtain the center coordinates, and detect the coordinate position of the detected object based on triangulation from the direction angle of each camera to identify the position.

Furthermore, when capturing moving images or still images, the camera may capture images in a first mode, a second mode, or a third mode. Here, the first mode may be general color photography. The second mode may be infrared photography with sensitivity to infrared rays. The third mode may be thermography photography that visualizes the temperature distribution based on infrared rays. In this case, the camera has a first imaging means corresponding to the first mode, a second imaging means corresponding to the second mode, a third imaging means corresponding to the third mode, and an imaging means switching means that determines which imaging means to apply.

Specifically, when the first imaging means is applied when the camera is started, the imaging means switching means may switch the imaging means to be applied from the first imaging means to the second imaging means. The imaging means switching means may also control switching from a state in which the first imaging means is applied alone to a state in which the second imaging means and the third imaging means are applied simultaneously. Here, the imaging means switching means may control the imaging means switching at a predetermined interval (for example, 10 seconds or 8 hours), or may control the imaging means switching based on an instruction from an external device such as the server 20. The instruction from the server 20 may be, for example, an instruction command to switch the imaging means to be applied from the first imaging means to the second imaging means at 18:00 on March 31, 2020. Also, for example, a day/night detector (light blocking sensor) provided in an external device other than the server 20 may detect whether it is day or night based on the intensity of the surrounding light and notify the server 20 of the detection information. In this case, the imaging means switching means of the camera may switch the imaging means to be applied from the first imaging means to the second imaging means based on the above-mentioned detection information received. Furthermore, the imaging means switching means may control the switching of the imaging means to be applied based on the analysis results related to the image information of the detected object captured by the camera. In other words, the imaging means switching means may control the switching of the imaging means to be applied based on whether the object is a poaching boat or a poacher determined by image analysis. The configuration of the camera may be changed as appropriate depending on the surrounding environment. The camera may be switched to other modes, not limited to the first, second, and third modes described above.

[4.7.5. Configuration in which sensor switching is applied]
In addition, the anti-poaching IoT system 1 may include the active sonar, radar, laser sensor, and image sensor exemplified above in addition to the underwater acoustic sensor 12 according to this embodiment, and each sensor or the server 20 has a sensor switching means for determining which sensor to apply, and the sensor switching means can switch the sensor to be applied between the underwater acoustic sensor 12, the active sonar, the radar, the laser sensor, the image sensor, and the like. Specifically, when the underwater acoustic sensor 12 is applied when the sensor is activated, the sensor switching means may switch the sensor to be applied from the underwater acoustic sensor 12 to the image sensor. The sensor switching means may also control switching from a mode in which the underwater acoustic sensor 12 is applied alone to a mode in which the underwater acoustic sensor 12 and the image sensor are applied simultaneously. Here, the sensor switching means may control sensor switching at a predetermined interval (for example, 10 seconds or 8 hours), or may control sensor switching based on an instruction from the server 20. The instruction from the server 20 may be, for example, an instruction command to switch the sensor to be applied from the underwater acoustic sensor 12 to the image sensor at 9:00 on March 31, 2020.

As described above, by applying other sensors, it is possible to further improve the convenience for users and to reduce false detection of the object to be detected.

1 Anti-poaching IoT system 10, 12 Underwater acoustic sensor 110 Antenna unit 121 Searchlight 122 Mooring light unit 123 Solar cell 130 Sensing unit 140 Power supply unit 150 Mooring unit 160 Plume unit 170 Transmitting buoy unit 181 Plume 182 Float 20 Server 220 Control unit 221 Object detection unit 222 Determination unit 223 Detection notification unit 224 Request acquisition unit 225 Data acquisition unit 226 Data provision unit 230 Memory unit 231 Sensor information 232 Notification destination information 233 Official ship information 240 Communication unit 30 Monitor terminal 310 Input unit 320 Control unit 330 Memory unit 340 Communication unit 350 Display unit 40 On-board terminal 50 Official ship

Claims (22)

a determination unit that determines a relationship between the managed object and the detection object by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, based on position information of the measurement object that moves together with the managed object and position information of the detection object detected based on sensor data obtained by a sensor, and a threshold value ;
a detection notification unit that outputs an alarm when the distance is greater than the threshold value;
An information processing device comprising: When the distance is smaller than the threshold value, the determination unit determines that the detection object is the same as the managed object or has moved at least temporarily together with the managed object.
The information processing device according to claim 1 . The management object is a regular ship on which the measurement object is mounted.
The information processing device according to claim 2 . The detection object is a ship.
The information processing device according to claim 3 . the threshold value includes a first threshold value;
The determination unit determines that the detected object is a poaching vessel different from the managed object when the distance is greater than the first threshold value.
The information processing device according to claim 4 . The determination unit determines that the detection object is the same as the managed object when the distance is smaller than the first threshold value.
The information processing device according to claim 5 . The detection object is a diver.
The information processing device according to any one of claims 3 to 6 . the threshold value includes a second threshold value;
When the distance is greater than the second threshold, the determination unit determines that the detected object is a poaching diver that does not move with the managed object.
The information processing device according to claim 7 . When the distance is smaller than the second threshold, the determination unit determines that the detected object is a legitimate diver who has at least temporarily moved together with the managed object.
The information processing device according to claim 8 . the detection notifying unit controls a terminal associated with the sensor to provide identification information corresponding to information related to the detection based on the determination that the distance is greater than the threshold value;
The information processing device includes:
a data providing unit configured to, when receiving a data transmission request based on the identification information after the identification information has been provided to the terminal, provide information related to the detection to a requester of the data transmission request,
The information processing device according to any one of claims 1 to 9 . When the detected object does not satisfy a predetermined condition, the data providing unit does not provide the location information of the detected object to the terminal associated with the sensor.
The information processing device according to claim 10 . a determination unit that determines a relationship between the managed object and the detection object by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, the distance being based on position information of the measurement object that moves together with the managed object and position information of the detection object that is detected based on sensor data obtained by a sensor, and a threshold value ;
The sensor data is detected by a sensor unit included in the sensor,
The sensor unit is present in water.
Information processing device. The position information of the measurement object is continuously updated;
The determination unit acquires position information of the measurement object based on the detection of the detection object, and determines a relationship between the distance and the threshold value.
The information processing device according to any one of claims 1 to 12 . The position information of the measurement object is obtained by GPS positioning.
The information processing device according to any one of claims 1 to 13 . determining a relationship between the managed object and the detection object by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, the distance being based on position information of the measurement object that moves together with the managed object and the detection object detected based on sensor data obtained by a sensor, and a threshold value ;
outputting an alarm if the distance is greater than the threshold;
An information processing method comprising: determining a relationship between the managed object and the detection object by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, the distance being based on position information of the measurement object and the position indicated by the position information of the detection object, and a threshold value, based on position information of the measurement object that moves together with the managed object and position information of the detection object detected based on sensor data obtained by a sensor ;
The sensor data is detected by a sensor unit included in the sensor,
The sensor unit is present in water.
Information processing methods. On the computer,
determining a relationship between the managed object and the detection object by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, the distance being based on position information of the measurement object that moves together with the managed object and the detection object detected based on sensor data obtained by a sensor, and a threshold value ;
outputting an alarm if the distance is greater than the threshold;
A program for executing. On the computer,
A program for executing a process of determining a relationship between a managed object and a detection object by determining a relationship between a distance between a position indicated by the position information of a measurement object that moves together with the managed object and a position information of a detection object detected based on sensor data obtained by a sensor and a threshold value, the program comprising:
The sensor data is detected by a sensor unit included in the sensor,
The sensor unit is present in water.
program. A sensor and an information processing device are provided.
The sensor acquires sensor data;
the information processing device has a determination unit that determines a relationship between the managed object and the detection object by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, and a threshold value, based on position information of the measurement object that moves together with the managed object and position information of the detection object detected based on the sensor data obtained by the sensor;
a detection notification unit that outputs an alarm when the distance is greater than the threshold value;
A system comprising: A sensor and an information processing device are provided.
The sensor acquires sensor data;
the information processing device includes a determination unit that determines a relationship between the managed object and the detection object by determining a relationship between a distance between a position indicated by the position information of the measurement object and a position indicated by the position information of the detection object, and a threshold value, based on position information of a measurement object that moves together with the managed object and position information of a detection object detected based on the sensor data obtained by the sensor ;
The sensor data is detected by a sensor unit included in the sensor,
The sensor unit is present in water.
system. The system includes the measurement object.
21. A system according to claim 19 or 20 . The system includes the object to be detected.
A system according to any one of claims 19 to 21 .

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