JP7540715B2 - Automatic suspicious ship monitoring system - Google Patents

Description

The present invention relates to an automatic suspicious ship monitoring system.

Fishing and aquaculture are important industries in Japan. In particular, aquaculture supports the livelihoods of local residents as a local industry. However, in recent years, due to the globalization of food culture, some marine products that are traded at high prices have become the target of organized poaching, causing significant damage to fishers and aquaculture producers.

Furthermore, the Fisheries Agency, the Japan Coast Guard, and the police have stepped up their crackdown in response to the increase in malicious poaching. However, because the areas monitored for policing, such as oceans, lakes, and rivers (hereinafter "monitored areas of oceans, lakes, and rivers" are referred to as "monitored areas"), are wide, it is not easy to uncover poaching.

Furthermore, poaching often takes place at night, and there may be informants, so there are limitations to what can be done by humans to keep watch. Also, when relying on manual watch, it is not easy to visually determine whether or not something is poaching, and there is a high possibility that reports will be false, which could have an impact on the trust of the local community. Furthermore, there are many cases where manual monitoring and reporting is difficult due to the fear of future resentment or retaliation.

As a result, anti-poaching measures that do not rely on human labor have been proposed, such as a poaching prevention method that installs physical obstacles in a monitored area to prevent poachers from approaching marine resources (Patent Documents 1 and 2), a monitoring device that installs a microphone underwater and detects approaching ships based on acoustic information (Patent Documents 3 and 4), a monitoring system that can effectively detect suspicious ships remotely even at night using radar (Patent Documents 5 and 6), and a monitoring device that monitors a monitored area using an infrared camera or a thermography surveillance camera so that poachers can be identified even at night (Patent Documents 7 and 8).

Japanese Unexamined Patent Publication No. 63-105629 Japanese Patent Application Publication No. 03-027227 JP 2001-338399 A JP 2002-181618 A JP 2018-014012 A Registered Utility Model No. 3077551 Japanese Patent Application Publication No. 05-145928 JP 2006-268471 A

However, the above-mentioned anti-poaching measures have given rise to the following problems:

For example, the above-mentioned anti-poaching method of installing physical obstacles not only takes time and effort to install and remove the obstacles, but also poses the risk of causing injuries or accidents to fishermen or fish farmers other than the poachers. Furthermore, for example, the above-mentioned monitoring device that detects approaching ships based on acoustic information has difficulty detecting approaching ships that have stopped their engines.

Furthermore, for example, in the radar-based monitoring system mentioned above, a new signal transmitter must be installed on all vessels to prove that they are legitimate vessels authorized to operate in the monitored area. This requires cooperation and consent from many organizations with different positions, especially when the monitored area is large, making it difficult for individual business owners or small fishing associations to introduce the system.

Furthermore, for example, among the above-mentioned monitoring devices, those installed on land have difficulty in finding poachers if there is a distance between the installation location and the monitored area. On the other hand, those installed in the monitored area tend to be large-scale devices because it is not easy to supply power on water, and the introduction costs are high.

Furthermore, for example, in monitoring devices that install microphones underwater, marine organisms such as juvenile shellfish or algae (hereinafter, "marine organisms such as juvenile shellfish or algae" are referred to as "marine organisms") may attach to the microphone, hindering its function. For this reason, it is considered effective to use metals such as copper, which are repellent to these marine organisms, near devices that are installed underwater, such as microphones. However, in monitored areas where aquaculture is carried out, there is often resistance to the use of these metals, which are also toxic to the human body. In addition, if the work of removing these marine organisms is to be carried out periodically, for example, a person would have to dive to perform the removal work at least once a month, which would result in high maintenance costs.

For this reason, while the above-mentioned monitoring devices are considered suitable for cases where a company has established a large-scale aquaculture plant in one location, for example, they have been difficult to introduce for individual business owners or small-scale fishing associations that operate aquaculture as a local industry by setting up aquaculture rafts in each inlet, taking advantage of the ria coastline found in the Sanriku region and other areas.

Therefore, there is a need for a system that can be implemented without human intervention and at low cost, and that can automatically detect and report suspicious ships to prevent poaching. The present invention aims to provide an automatic suspicious ship monitoring system that solves the problems with the conventional technology described above.

The automatic suspicious ship monitoring system of the present invention is characterized by having a position information acquisition unit that acquires position information of a floating object floating on the water surface, a ship passage determination unit that determines whether the up and down movement of the water surface is due to the wake waves of a ship based on the position information acquired by the position information acquisition unit, an acoustic information acquisition unit that acquires acoustic information emitted from the ship by an acoustic receiving device installed on the floating object, a sound pattern determination unit that determines the type of sound pattern of the ship using a trained model constructed by machine learning based on the acoustic information acquired by the sound information acquisition unit, and a suspicious ship determination unit that determines whether the ship is a suspicious ship based on the determinations of the ship passage determination unit and the sound pattern determination unit.

The automatic suspicious ship monitoring system according to the present invention is characterized in that when the ship passage determination unit determines that there are wake waves and the acoustic pattern determination unit determines that the type of ship is a small ship, the suspicious ship determination unit determines that the ship is a suspicious ship.

The automatic suspicious ship monitoring system according to the present invention is characterized in that when the ship passage determination unit determines that there are wake waves and the acoustic pattern determination unit determines that there are no acoustic patterns, the suspicious ship determination unit determines that the ship is a suspicious ship.

The automatic suspicious ship monitoring system of the present invention is characterized in that the suspicious ship determination unit has a radio receiving unit that receives an identification signal transmitted from a radio transmitter installed on a ship among the ships that has been previously permitted to pass, and when this radio receiving unit receives the identification signal, it determines that the ship that has been previously permitted to pass is not a suspicious ship.

The automatic suspicious ship monitoring system of the present invention is characterized in that the position information acquisition unit acquires the position information using RTK-GNSS, and the ship passage determination unit observes the up and down movement of the water surface based on height position information from the position information, and determines that a wake wave is present when the displacement of the height position information within a certain period of time exceeds a threshold value when compared with the displacement of the height position information within a specified period of time preceding the certain period of time.

The automatic suspicious ship monitoring system according to the present invention is characterized in that the acoustic receiving device is a microphone, and the microphone is installed inside the floating body.

The automatic suspicious ship monitoring system of the present invention has a position information acquisition unit that acquires position information of floating objects floating on the water surface, and a ship passage determination unit that determines whether the up and down movement of the water surface is due to wake waves based on the position information acquired by the position information acquisition unit. Therefore, it is possible to observe the up and down movement of the water surface and detect wake waves generated when a ship moves on the water surface. As a result, not only can it detect suspicious ships approaching the monitored area, but it also makes it possible to detect suspicious ships that approach with their engines stopped, which was difficult for monitoring devices that detect approaching ships based on acoustic information.

In addition to the above configuration, the automatic suspicious ship monitoring system of the present invention has an acoustic information acquisition unit that acquires acoustic information emitted from a ship by an acoustic receiving device installed on a floating body, and an acoustic signature determination unit that determines the type of acoustic signature of the ship using a trained model constructed by machine learning based on the acoustic information acquired by the acoustic information acquisition unit. Therefore, acoustic information emitted from a ship can be acquired, and the type of acoustic signature of the ship can be determined based on this acoustic information. Therefore, large ships, medium-sized ships, and passenger ships that are not used for poaching can be excluded from the list of suspicious ships without installing new equipment to prove that the ship is not suspicious.

Furthermore, in addition to the above configuration, the automatic suspicious ship monitoring system of the present invention has a suspicious ship determination unit that determines whether a ship is a suspicious ship based on the determinations of the ship passage determination unit and the acoustic pattern determination unit. Therefore, the approach of a suspicious ship can be detected based on the determination of the presence or absence of wake waves and the type of acoustic pattern of the ship. This makes it possible to automatically detect suspicious ships without human intervention and prevent poaching. Furthermore, since the system as a whole does not require large-scale equipment, the introduction costs can be reduced. This makes it an easy-to-introduce automatic suspicious ship monitoring system.

In addition, in the automatic suspicious ship monitoring system according to the present invention, the suspicious ship determination unit has a radio receiving unit that receives an identification signal transmitted from a radio transmitter installed on a ship that has been granted passage in advance among ships, and when this radio receiving unit receives an identification signal, it determines that the ship that has been granted passage in advance is not a suspicious ship. Therefore, if a ship approaching a monitored area is, for example, a legitimate ship that has been granted permission to operate in the monitored area, it is possible to prevent the legitimate ship from being mistakenly determined to be a suspicious ship. In addition, ships that are newly equipped with radio transmitters required to prove that they are legitimate ships can be limited to ships associated with the group or organization that has jurisdiction over the monitored area, making this an automatic suspicious ship monitoring system that is easy to introduce.

In addition, the automatic suspicious ship monitoring system according to the present invention is configured such that the position information acquisition unit is based on a global positioning satellite system, RTK-GNSS (Real Time Kinematic Global Positioning System).
The vessel passage determination unit obtains position information using GPS Navigation Satellite Systems, and observes the up and down movement of the water surface based on height position information from the position information, and determines the presence of wake waves when the displacement of the height position information within a certain period of time exceeds a threshold value when compared with the displacement of the height position information within a specified period preceding the certain period of time. Therefore, the up and down movement of the water surface can be observed based on highly accurate position information, and by comparing the displacement of the water surface height position information within a certain period of time with the displacement of the height position information within a specified period preceding the certain period of time, the occurrence of erroneous detection due to waves generated by weather conditions can be suppressed.

Furthermore, in the automatic suspicious ship monitoring system of the present invention, the acoustic receiving device is a microphone, and this microphone is installed inside the floating body. Therefore, for example, maintenance costs can be reduced compared to when the acoustic receiving device is installed underwater. In other words, when the acoustic receiving device is installed underwater, marine organisms attach to the acoustic receiving device, and the removal work needs to be performed periodically. However, with the present invention, this removal work is unnecessary, and maintenance costs can be reduced.

In addition, since the automatic suspicious ship monitoring system of the present invention uses RTK-GNSS, it receives GNSS signals from GNSS satellites to obtain location information. The microphone then receives the acoustic information, and the wireless receiving unit receives the identification signal. As a result, all of the information required to detect suspicious ships can be obtained using only passive sensors. This makes it possible to achieve a smaller system and lower power consumption compared to when active sensors are used. This reduces the costs of implementation and operation, making the automatic suspicious ship monitoring system easier to implement.

Furthermore, the automatic suspicious ship monitoring system of the present invention is configured without installing any equipment underwater. Therefore, compared to when some equipment is installed underwater, there is no need to remove marine organisms that adhere to the equipment. This reduces maintenance costs. When installing some equipment underwater, metals such as copper that are repellent to marine organisms may be used near the equipment to prevent marine organisms from adhering to the equipment. However, since these metals are also toxic to the human body, there is often resistance to their use in monitored areas where aquaculture is carried out. Therefore, the automatic suspicious ship monitoring system of the present invention does not meet such resistance and is easy to introduce.

1 is a schematic diagram showing the configuration of an automatic suspicious ship monitoring system according to the present invention. 1 is a diagram showing the configuration of a first embodiment of an automatic suspicious ship monitoring system according to the present invention; FIG. 2 is a diagram showing the configuration of a second embodiment of an automatic suspicious ship monitoring system according to the present invention. 1 is a diagram showing the operation of the first embodiment of the automatic suspicious ship monitoring system according to the present invention; 1 is a diagram showing a process in a first embodiment of an automatic suspicious ship monitoring system according to the present invention;

Hereinafter, an embodiment of the present invention will be described.
(Configuration of the automatic suspicious ship monitoring system)
FIG. 1 is a schematic diagram showing the configuration of an automatic suspicious ship monitoring system 1. As shown in FIG.
The suspicious ship automatic monitoring system 1 is composed of a position information acquisition unit 10, a ship passage determination unit 20, an acoustic information acquisition unit 30, an acoustic pattern determination unit 40, and a suspicious ship determination unit 50. Since suspicious ships 3 used in poaching are generally "small ships," the suspicious ship automatic monitoring system 1 determines whether or not a ship 2 approaching a monitoring target area F is a suspicious ship 3 under the premise that the suspicious ship 3 is a "small ship." Therefore, the suspicious ship automatic monitoring system 1 detects the suspicious ship 3 by focusing on the wake waves 5 and acoustic patterns of the suspicious ship 3.

In the automatic suspicious ship monitoring system 1, the suspicious ship determination unit 50 determines whether a ship 2 approaching a monitored area F is a suspicious ship 3 based on the determination of the ship passage determination unit 20, which determines whether the up and down movement of the water surface is caused by a wake wave 5, and the determination of the sound pattern determination unit 40, which determines the type of sound pattern of the ship 2. Then, based on this determination result, the suspicious ship information is notified to an administrator terminal A, such as a PC (personal computer) terminal, smartphone terminal, or communication terminal dedicated to the automatic suspicious ship monitoring system 1, used by an organization or organization such as the Fisheries Agency, the Japan Coast Guard, the police, or a local government that has jurisdiction over the monitored area F.

The position information acquisition unit 10 acquires position information of the buoy 11, which is a floating body floating on the water surface, using the RTK-GNSS (Real Time Kinematic Global Navigation Satellite Systems), which is a global positioning satellite system. Specifically, the buoy 11 is installed on the water surface of the sea, lake, river, etc., through which the ship 2 entering the monitored area F passes, such as an inlet where the aquaculture raft R is installed. The buoy 11 may be a newly moored and installed buoy, but an existing buoy can also be used. By using an existing buoy, the automatic suspicious ship monitoring system 1 can be introduced more easily. In addition, the floating body can be another structure, such as a float or a raft, as long as it floats on the water surface in accordance with the up and down movement of the water surface.

The location information acquisition unit 10 is equipped with an RTK-GNSS mobile station 12 and a reference station 13 as receivers that receive GNSS signals from GNSS satellites 100. The mobile station 12 is installed on a buoy 11, and the reference station 13 is installed on land area L within a few kilometers of the monitored area F. This allows the location information acquisition unit 10 to receive GNSS positioning information from the mobile station 12 and the reference station 13, combine this GNSS positioning information to correct deviations in the positioning information, and acquire highly accurate location information for the buoy 11.

Power is supplied to the mobile station 12 by a storage battery (not shown) provided on the buoy 11 or a solar panel 14 provided on the top of the buoy 11. Communication between the location information acquisition unit 10 and the mobile station 12 is performed wirelessly, and communication between the location information acquisition unit 10 and the reference station 13 is performed wirelessly or by wire.

The ship passage determination unit 20 determines whether the vertical movement of the water surface is caused by wake waves 5 based on the position information of the buoy 11 acquired by the position information acquisition unit 10. Specifically, the ship passage determination unit 20 observes the vertical movement of the water surface based on the height position information from the position information of the buoy 11 acquired by the position information acquisition unit 10, and when the displacement of the height position information within a certain time period exceeds a threshold value when compared with the displacement of the height position information within a specified time period preceding this certain time period, it determines that the vertical movement of the water surface is caused by wake waves 5, i.e., that "wake waves are present."

The acoustic information acquisition unit 30 includes a microphone 31, which is an acoustic receiving device, and acquires underwater sounds around the monitored area F as acoustic information using the microphone 31. Specifically, in the acoustic information acquisition unit 30, the microphone 31 is provided inside the buoy 11, and acquires sounds transmitted from underwater as acoustic information. Power is supplied to the microphone 31 by a storage battery or solar power generation panel 14 provided on the buoy 11 described above.

The sound print determination unit 40 determines the type of sound print of the ship 2 by using the trained model M constructed by machine learning based on the acoustic information acquired by the acoustic information acquisition unit 30. Specifically, the sound print determination unit 40 determines the type of sound print of the ship 2 by using the trained model M based on the sound print consisting of the screw sound, engine sound, hull vibration sound, etc. emitted by the ship 2 from the acoustic information acquired by the acoustic information acquisition unit 30.

The trained model M is generated by machine learning training data based on technologies such as deep learning or neural networks. The trained model M receives the acoustic information acquired by the acoustic information acquisition unit 30 as input, and outputs the probability of the type of acoustic signature of the ship 2 based on the acoustic signature of the ship 2. Note that the trained model M is not limited to one that has been constructed once, and can be appropriately updated by machine learning additional training data.

The suspicious ship determination unit 50 determines whether or not a ship 2 approaching the monitored area F is a suspicious ship 3 based on the determinations of the ship passage determination unit 20 and the acoustic pattern determination unit 40. The suspicious ship determination unit 50 also includes a wireless receiver 60. This wireless receiver 60 receives an identification signal transmitted from a wireless transmitter 61 installed on a legitimate ship 4, which is a ship 2 that has been permitted to pass through the monitored area F in advance, and notifies the suspicious ship determination unit 50 of the same. The suspicious ship determination unit 50 then notifies the administrator terminal A of the suspicious ship information based on the determination result.

As shown in FIG. 2, the first embodiment of the present invention, the automatic suspicious ship monitoring system 1A, comprises a position information acquisition unit 10, a ship passage determination unit 20, an acoustic information acquisition unit 30, a sound pattern determination unit 40, and a suspicious ship determination unit 50 in a cloud C. The automatic suspicious ship monitoring system 1A then transmits suspicious ship information to an administrator terminal A via the cloud C to notify the administrator terminal A.

As shown in FIG. 3, the second embodiment of the present invention, the automatic suspicious ship monitoring system 1B, comprises a position information acquisition unit 10, a ship passage determination unit 20, an acoustic information acquisition unit 30, a sound pattern determination unit 40, and a suspicious ship determination unit 50, in a server 6 installed in a land area L. The automatic suspicious ship monitoring system 1B transmits suspicious ship information to an administrator terminal A via the server 6 and a network N connected to the server 6 to notify the administrator terminal A.

(Operation and processing of the automatic suspicious ship monitoring system)
The suspicious ship automatic monitoring systems 1A and 1B of the first and second embodiments described above have the same operation and processing, so in the following, the suspicious ship automatic monitoring system 1A of the first embodiment will be described as an example, and a description of the suspicious ship automatic monitoring system 1B of the second embodiment will be omitted.

The operation will be described.
4, in the automatic suspicious ship monitoring system 1A of the first embodiment, the position information acquisition unit 10 acquires the position information of the buoy 11 using the RTK-GNSS (S1), and transmits this position information to the ship passage determination unit 20 (S2).

Next, the ship passage determination unit 20 receives the position information transmitted from the position information acquisition unit 10 and observes the vertical movement of the water surface based on the height position information from this position information (S3). The ship passage determination unit 20 then determines whether the observed vertical movement of the water surface is due to wake waves 5 (S4). The result of this determination is then transmitted to the suspicious ship determination unit 50 as a wake wave determination (S5).

Next, the acoustic information acquisition unit 30 acquires underwater sounds around the monitored area F as acoustic information using the microphone 31 (S6). The acoustic information acquisition unit 30 then transmits this acoustic information to the sound print determination unit 40 (S7).

Next, the acoustic pattern determination unit 40 receives the acoustic information transmitted from the acoustic information acquisition unit 30, and uses the trained model M to determine the type of acoustic pattern of the ship 2 based on the acoustic pattern emitted by the ship 2 from the acoustic information (S8). The result of this determination is then transmitted to the suspicious ship determination unit 50 as an acoustic pattern determination (S9).

Next, the suspicious ship determination unit 50 receives the determination results sent from each of the ship passage determination unit 20 and the acoustic pattern determination unit 40, and determines whether or not the ship 2 approaching the monitored area F is a suspicious ship 3 based on these determination results (S10). Then, based on this determination result, the suspicious ship determination unit 50 transmits suspicious ship information to the administrator terminal A to notify it (S11).

Next, the processing will be described.
In the first embodiment of the automatic suspicious ship monitoring system 1A, as shown in Figures 4 and 5, the position information acquisition unit 10 first acquires position information of the buoy 11 using RTK-GNSS (S1), and transmits this position information to the ship passage determination unit 20 (S2).

At this time, in the position information acquisition unit 10, the mobile station 12 and the reference station 13 receive GNSS signals from at least four or more GNSS satellites 100, and transmit the respective GNSS positioning information obtained by receiving the GNSS signals to the position information acquisition unit 10. The position information acquisition unit 10 receives the GNSS positioning information transmitted from the mobile station 12 and the reference station 13, combines the GNSS positioning information, corrects the deviation of the positioning information, and acquires highly accurate position information of the buoy 11. Then, it transmits this acquired position information of the buoy 11 to the ship passage determination unit 20.

The ship passage determination unit 20 receives the position information of the buoy 11 transmitted from the position information acquisition unit 10, and observes the vertical movement of the water surface based on the height position information from this position information (S3). At this time, in order to observe the displacement of the vertical movement of the water surface, the ship passage determination unit 20 calculates the standard deviation of the displacement of the height position information per minute, for example, as the displacement of the height position information within a certain period of time. Then, as the displacement of the height position information within the next certain period of time, the ship passage determination unit 20 calculates the standard deviation of the displacement of the height position information per minute by overlapping the said one minute, for example, 30 seconds. By repeating this, the ship passage determination unit 20 continues to observe the vertical movement of the water surface.

Next, the ship traffic determination unit 20 determines whether the observed vertical movement of the water surface is due to wake waves 5 (S4). At this time, the ship traffic determination unit 20 calculates the average value of the standard deviation of the displacement per minute for, for example, the past 10 minutes, as the displacement of the height position information within a predetermined time preceding the observed one minute. Then, the ship traffic determination unit 20 compares this average value with the standard deviation of the displacement of the height position information per minute observed, and when this ratio exceeds a threshold value, for example, "3" (exceeds three times), it determines that the vertical movement of the water surface is due to wake waves 5, that is, "wake waves are present," and this is the determination result. Also, when there is no vertical movement of the water surface, or there is vertical movement of the water surface but it is not due to wake waves 5, it determines that "wake waves are not present," and this is the determination result. The ship traffic determination unit 20 transmits this determination result to the suspicious ship determination unit 50 as a wake wave determination (S5).

The acoustic information acquisition unit 30 receives underwater sounds around the monitored area F using the microphone 31, converts the sounds into electrical signals, and acquires them as acoustic information (S6). The acquired acoustic information is then transmitted to the sound print determination unit 40 (S7).

The acoustic print determination unit 40 receives the acoustic information transmitted from the acoustic information acquisition unit 30, and uses the trained model M to determine the type of acoustic print of the ship 2 based on the acoustic print emitted by the ship 2 from the acoustic information (S8). At this time, if no acoustic print is confirmed, the trained model M outputs "no acoustic print", and if an acoustic print is confirmed, outputs whether the type of the acoustic print of the ship 2 is a "large ship", a "medium ship", a "passenger ship", or a "small ship", with each possibility output as a percentage.

Next, the sound pattern determination unit 40 determines the type of sound pattern of the ship 2 based on the ratios output by this trained model M, which has the highest probability. If the probability ratios of each are equal, the sound pattern determination unit 40 determines that the ship 2 is "difficult to identify." The sound pattern determination unit 40 then transmits this determination result to the suspicious ship determination unit 50 as a sound pattern determination (S9).

Next, the suspicious ship determination unit 50 receives the wake wave determination sent from the ship passage determination unit 20 and the acoustic pattern determination sent from the acoustic pattern determination unit 40, and based on these determination results, determines whether the ship 2 approaching the monitored area F is a suspicious ship 3 or not (S10).

At this time, the suspicious ship determination unit 50 (1) determines that the ship 2 is a "suspicious ship" if the wake wave determination is "wake waves present" and the sound pattern determination is either "no sound patterns," "small ship," or "difficult to identify." Also, (2) determines that the ship 2 is a "suspicious ship" if the wake wave determination is "no wake waves" and the sound pattern determination is either "small ship" or "difficult to identify."

Furthermore, the suspicious ship determination unit 50 (3) determines that the ship 2 is "not a suspicious ship" if the wake wave determination is "wake waves present" and the sound pattern determination is either a "large ship," "medium ship," or "passenger ship." Also, (4) determines that the ship 2 is "not a suspicious ship" if the wake wave determination is "no wake waves" and the sound pattern determination is "no sound patterns" or either a "large ship," "medium ship," or "passenger ship."

On the other hand, in the suspicious ship determination unit 50, when an identification signal is transmitted from the radio transmitter 61 of the regular ship 4, the radio receiver 60 receives this identification signal and notifies the suspicious ship determination unit 50 of the fact. When the suspicious ship determination unit 50 meets the condition (1) or (2), that is, even if the determination is "suspicious ship", if it receives a notification from the radio receiver 60, it changes the determination to "not suspicious ship".

Next, when conditions (1) and (2) are met, i.e., when the vessel 2 is judged to be a "suspicious vessel" and no notification has been received from the wireless receiver 60, the suspicious vessel determination unit 50 determines that the vessel 2 approaching the monitored area F is a suspicious vessel 3, and notifies the administrator terminal A by transmitting suspicious vessel information to that effect (S11). This allows the Fisheries Agency, the Japan Coast Guard, the police, local governments, and other organizations or groups that have jurisdiction over the monitored area F to be notified of the approach of the suspicious vessel 3 to the monitored area F, thereby preventing poaching.

Although the embodiments of the present invention have been described above in detail, the present invention is not limited to the above-mentioned embodiments, and various design changes can be made without departing from the scope of the claims.

For example, the cloud C or the server 6 may be provided with an information recording unit (not shown) or a recording medium (not shown) that is connected to each of the position information acquisition unit 10, the ship passage determination unit 20, the acoustic information acquisition unit 30, the sound pattern determination unit 40, and the suspicious ship determination unit 50 and records the various information acquired by each and the determination results. This allows the various information and the determination results to be recorded in the information recording unit or the recording medium, so that, for example, even if a legitimate ship 4 is used for poaching by an insider, it is possible to trace the sound pattern of the legitimate ship 4. Therefore, it is possible to prove that the legitimate ship 4 was in the monitored area F at that time, and therefore it is possible to deter poaching by the insider.

In addition, in this embodiment, the wireless receiver 60 is configured to only receive and notify the identification signal transmitted from the wireless transmitter 61 of the official ship 4, but is not limited to this. For example, the wireless receiver 60 may be configured to receive individual identification signals transmitted from various wireless transmitters installed on each ship 2. In this case, for example, the wireless receiver 60 having the above configuration is further provided with an identification signal storage unit (not shown) that can pre-register individual identification signals transmitted from the wireless transmitters installed on the official ship 4, and an identification signal determination unit (not shown) that determines whether the individual identification signal received from the wireless transmitter of each ship 2 is registered in the identification signal storage unit, and this identification signal determination unit is configured to determine whether the received individual identification signal is that of the official ship 4 based on the registration in the identification signal storage unit. In addition, if the received identification signal is registered in the identification signal storage unit, it is configured to notify the suspicious ship determination unit 50 of this fact. By combining these configurations with the configuration with the information recording unit or recording medium described above, even if a suspicious ship 3 illegally obtains a radio transmitter of a legitimate ship 4 and uses it to pass through the monitored area F, the fact that the suspicious ship 3 was in the monitored area F will be recorded, making it possible to take measures such as excluding the identification signal transmitted from the suspicious ship 3 from the registration in the identification signal storage unit. In addition, by providing an identification signal storage unit and an identification signal judgment unit, it is possible to create an automatic suspicious ship monitoring system that can be introduced using existing radio transmitters without installing a new radio transmitter 61 on the legitimate ship 4. Furthermore, since the registration in the identification signal storage unit can be changed as appropriate, the identification signal of the ship 2 that is permitted to pass through the monitored area F as a legitimate ship 4 can be dynamically set.

In addition, in this embodiment, a configuration has been shown in which the position information acquisition unit 10 acquires the position information of the buoy 11 by combining the GNSS positioning information transmitted from the mobile station 12 and the reference station 13, but this is not limited to this, and a configuration may be adopted in which the mobile station 12 and the reference station 13 are capable of transmitting and receiving GNSS positioning information between each other wirelessly, and either the mobile station 12 or the reference station 13 corrects the deviation in the positioning information to acquire the position information of the buoy 11, and transmits this to the position information acquisition unit 10. In addition, a configuration has been shown in which RTK-GNSS is used, but a network-type RTK-GNSS may also be used.

Furthermore, in this embodiment, the position information acquisition unit 10, ship passage determination unit 20, acoustic information acquisition unit 30, sound pattern determination unit 40, and suspicious ship determination unit 50 are all provided in one cloud C or server 6, but this is not limited to the above. A separate computer such as a server may be provided in the buoy 11 or the reference station 13, and any or all of the position information acquisition unit 10, ship passage determination unit 20, acoustic information acquisition unit 30, sound pattern determination unit 40, and suspicious ship determination unit 50 may be provided in this computer. For example, the position information acquisition unit 10 may be provided in a computer provided in the buoy 11, and the ship passage determination unit 20, acoustic information acquisition unit 30, sound pattern determination unit 40, and suspicious ship determination unit 50 may be provided in a computer provided in the cloud C, server 6, or reference station 13. Similarly, the acoustic information acquisition unit 30 and the acoustic pattern determination unit 40 may be provided in a computer provided in the buoy 11, and the position information acquisition unit 10, the ship passage determination unit 20, and the suspicious ship determination unit 50 may be provided in a computer provided in the cloud C, the server 6, or the reference station 13, and the combination of these configurations is arbitrary.

In addition, in this embodiment, a configuration in which one buoy 11 is installed is shown, but this is not limited to this, and for example, two or more buoys 11 may be installed around the aquaculture raft R.

Furthermore, in the present embodiment, the fixed time is 1 minute and the predetermined time is 10 minutes. However, the present invention is not limited to this. Based on the weather conditions or wave conditions around the monitoring target area F,
It can be determined arbitrarily.

The automatic suspicious ship monitoring system 1 of the present invention can be implemented without human intervention and at low cost, and can automatically detect and report suspicious ships 3 to prevent poaching. For example, it can contribute to preventing poaching in a fish farm located in an inlet not far from land area L.

It is also possible to automatically monitor intrusions from the water into places where access is prohibited, such as important facilities or dangerous areas. Furthermore, wave information in the monitored area F where the aquaculture rafts R are installed can be observed with high time resolution in a remote land area L.

1 Automatic suspicious ship monitoring system 1A Automatic suspicious ship monitoring system 1B Automatic suspicious ship monitoring system 2 Ship 3 Suspicious ship 4 Regular ship 5 Wake wave 6 Server 10 Position information acquisition unit 11 Buoy 12 Mobile station 13 Reference station 14 Solar power generation panel 20 Ship passage determination unit 30 Acoustic information acquisition unit 31 Microphone 40 Acoustic pattern determination unit 50 Suspicious ship determination unit 60 Radio receiver 61 Radio transmitter 100 GNSS satellite A Administrator terminal C Cloud F Monitoring target area L Land area M Trained model N Network R Aquaculture raft

Claims (6)

a position information acquisition unit that acquires position information of a floating object floating on the water surface;
a ship passage determination unit that determines whether the vertical movement of the water surface is caused by a wake wave of a ship based on the position information acquired by the position information acquisition unit;
an acoustic information acquisition unit that acquires acoustic information emitted from the ship using an acoustic receiving device provided on the floating body;
a sound signature determination unit that determines a type of sound signature of the ship by using a trained model constructed by machine learning based on the sound information acquired by the sound information acquisition unit;
and a suspicious ship determination unit that determines whether the ship is a suspicious ship based on the determinations of the ship passage determination unit and the acoustic pattern determination unit.
An automatic suspicious ship monitoring system. When the ship passage determination unit determines that there is a wake wave and the acoustic pattern determination unit determines that the type of ship is a small ship, the suspicious ship determination unit determines that the ship is a suspicious ship.
2. The automatic suspicious ship monitoring system according to claim 1, When the ship passage determination unit determines that there is a wake wave and the acoustic pattern determination unit determines that there is no acoustic pattern, the suspicious ship determination unit determines that the ship is a suspicious ship.
3. The suspicious ship automatic monitoring system according to claim 1 or 2. The suspicious ship determination unit has a radio receiving unit that receives an identification signal transmitted from a radio transmitter installed on a ship that has been previously permitted to pass among the ships, and when the radio receiving unit receives the identification signal, determines that the ship that has been previously permitted to pass is not a suspicious ship.
4. The suspicious ship automatic monitoring system according to claim 1, wherein the suspicious ship automatic monitoring system is a monitoring system for monitoring a suspicious ship. The location information acquisition unit acquires the location information by using RTK-GNSS,
the vessel passage determination unit observes the up and down movement of the water surface based on height position information among the position information, and determines the presence of wake waves when a displacement of the height position information within a certain period of time exceeds a threshold value compared with a displacement of the height position information within a specified period of time preceding the certain period of time.
5. The automatic suspicious ship monitoring system according to claim 1, The acoustic receiving device is a microphone, and the microphone is provided inside the floating body.
6. The suspicious ship automatic monitoring system according to claim 1,

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