Crew watching device, crew watching system, and crew watching program

Abstract

To provide a crew watching device, a crew watching system, and a crew watching program capable of appropriately detecting that an emergency has occurred to a crew.SOLUTION: In a crew watching device 500, a determination unit 510a carries out determination processing for determining whether or not an emergency has occurred to a crew based on strength of a notification radio wave received from a transmitter attached to a crew repeatedly transmitting the notification radio wave for indicating the existence of the crew and a detection result of a vessel oscillation sensor for detecting intensity of the oscillation of the vessel that the crew is boarding and an inboard output unit 510k, when a determination is made that an emergency has occurred to the crew by the determination unit 510a, outputs an emergency detection signal indicating that determination to an alarm unit.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present invention relates to a crew monitoring device, a crew monitoring system, and a crew monitoring program. [Background technology]

[0002] As disclosed in Patent Document 1, a system is known that includes a transmitter worn by a crew member and a management device that manages the location of the crew member by receiving radio waves transmitted by the transmitter. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2020-8492 Summary of the Invention [Problem to be solved by the invention]

[0004] In the system disclosed in Patent Document 1, whether an emergency requiring a warning has occurred is determined simply by whether it has become difficult for radio waves from a transmitter to reach a management device. With such a simple configuration, it may be difficult to properly detect an emergency.

[0005] Therefore, an object of the present invention is to provide a crew monitoring device, a crew monitoring system, and a crew monitoring program that can properly detect when an emergency occurs to a crew member. [Means for solving the problem]

[0006] The crew monitoring device according to the present invention comprises: a determination unit that performs a determination process to determine whether an emergency situation has occurred for the crew member based on the strength of a notification radio wave received from a crew member-worn transmitter that repeatedly transmits a notification radio wave to notify the crew member of the presence of the crew member and the detection result of a ship motion sensor that repeatedly detects the intensity of the motion of the ship on which the crew member is aboard; an output unit that outputs an emergency situation detection signal indicating that an emergency situation has occurred to the seafarer when the determination unit determines that the emergency situation has occurred to the seafarer; Equipped with.

[0007] The determination unit a low-output period length determination unit that compares the strength of the notification radio wave with a preset threshold radio wave strength that indicates the presence of the seafarer on the ship, and determines the length of a low-output period during which the strength of the notification radio wave is below the threshold radio wave strength; a start-time rocking intensity specifying unit that specifies a start-time rocking intensity, which is the intensity of rocking of the vessel at the start of the low power period, using the detection result of the vessel rocking sensor; a determination process execution unit that performs the determination process to determine whether an emergency has occurred to the mariner based on the length of the low power period identified by the low power period length identification unit and the start time rocking strength identified by the start time rocking strength identification unit; and may have

[0008] the determination process execution unit determines that an emergency has occurred for the seafarer when the length of the low power output period exceeds an allowable low power output period length that is set as a condition indicating that the seafarer is normal, The determination unit an allowable low output period length setting unit that sets the allowable low output period length, the allowable low output period length being set to be shorter as the start-up fluctuation strength specified by the start-up fluctuation strength specifying unit is greater; may further comprise:

[0009] The notification radio wave includes a detection result of detecting the movement or in vivo activity of the mariner, The determination unit may determine whether an emergency has occurred to the crew member based not only on the strength of the notification radio waves and the detection results of the ship motion sensor, but also on the detection results of the crew member's movements or in vivo activity contained in the notification radio waves.

[0010] The notification radio wave includes a detection result of detecting the movement of the mariner, The determination unit a correction unit that uses the detection result of the crew member's movement included in the notification radio wave and the detection result of the ship motion sensor to perform a correction to reduce the contribution of the ship's motion to the crew member's movement, thereby generating corrected crew member data that represent the crew member's movement relative to the ship; and The corrected crew data may be used in the determination process.

[0011] The crew monitoring program according to the present invention comprises: On the computer, a determination unit that performs a determination process to determine whether an emergency situation has occurred for the crew member based on the strength of a notification radio wave received from a crew member-worn transmitter that repeatedly transmits a notification radio wave to notify the crew member of the presence of the crew member and the detection result of a ship motion sensor that repeatedly detects the intensity of the motion of the ship on which the crew member is aboard; an output unit that outputs, when the determination unit determines that an emergency situation has occurred to the seafarer, an emergency situation detection signal indicating that such determination has been made; It realizes the function as.

[0012] The crew monitoring system according to the present invention comprises: The crew monitoring device according to the present invention described above; an alarm device that is installed on the ship and that issues an alarm when the emergency detection signal is received from the mariner monitoring device; an alarm canceller that is installed on the ship and that, when an operation to stop the alarm operation is received from the crew while the alarm operation is being performed by the alarm device, causes the alarm device to stop the alarm operation; Equipped with.

[0013] The crew monitoring device, If the alarm operation by the alarm device continues for longer than a predetermined confirmation period required for the crew member to cancel the alarm operation, an output may be sent to a server outside the ship to notify the crew member that an emergency has occurred.

[0014] The crew monitoring system according to the present invention comprises: a crew-worn transmitter worn by the crew member and configured to transmit the notification radio wave; a vessel rolling sensor that is installed on the vessel and detects the intensity of the vessel rolling; may further comprise: [Effects of the Invention]

[0015] The crew monitoring device, crew monitoring system, and crew monitoring program of the present invention determine whether a crew emergency has occurred based not only on the strength of the notification radio waves but also on the severity of the ship's rocking, making it possible to properly detect that a crew emergency has occurred. [Brief explanation of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram showing the configuration of a crew monitoring system according to a first embodiment. [Figure 2] FIG. 1 is a conceptual diagram showing the configuration of a crew-worn transmitter according to a first embodiment. [Figure 3] 1 is a conceptual diagram showing the configuration of a crew monitoring device according to a first embodiment. [Figure 4] FIG. 2 is a conceptual diagram showing the function of the crew monitoring device according to the first embodiment. [Figure 5] 4 is a flowchart of a crew member monitoring process according to the first embodiment. [Figure 6] FIG. 10 is a conceptual diagram showing the function of a crew monitoring device according to a second embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing the configuration of a report creation support system according to a third embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing the configuration of a vessel activity estimation device according to a third embodiment. [Figure 9]FIG. 10 is a conceptual diagram showing functions of a vessel activity estimation device according to a third embodiment. [Figure 10] FIG. 11 is a conceptual diagram showing a route identified from ship position data according to the third embodiment. [Figure 11] FIG. 11 is a conceptual diagram showing another route identified from ship position data according to the third embodiment. [Figure 12] FIG. 11 is a conceptual diagram showing the configuration of a learning model generation device according to a third embodiment. [Figure 13] FIG. 10 is a conceptual diagram showing functions of a vessel activity estimation device according to a fourth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0017] Hereinafter, first to third embodiments will be described with reference to the drawings, in which the same or corresponding parts are denoted by the same reference numerals.

[0018] [First embodiment] 1, the crew monitoring system 100A according to the first embodiment includes a crew monitoring device 500 installed on a ship FS, and an off-board monitoring server 710 that can communicate with the crew monitoring device 500 via a communication line NE. The ship FS is, for example, a fishing boat.

[0019] The crew monitoring system 100A also includes a crew-worn transmitter 200 worn by a crew member FP on board the ship FS, and a ship motion sensor 310 installed on the ship FS. The crew-worn transmitter 200 repeatedly emits a notification radio wave 200e to notify the presence of the crew member FP.

[0020] The vessel rolling motion sensor 310 repeatedly detects the intensity of the rolling of the vessel FS and generates vessel rolling motion data in which detection values ​​representing the intensity of the rolling of the vessel FS are arranged in time series. Specifically, the vessel rolling motion sensor 310 is configured by an acceleration sensor.

[0021] The crew monitoring device 500 receives notification radio waves 200e from the crew-worn transmitter 200 and acquires ship rocking data from the ship rocking sensor 310 in order to perform crew monitoring processing to determine in real time whether the crew member FP is safe or not.

[0022] The crew monitoring system 100A also comprises an alarm device 410 and an alarm canceller 420, each installed on the ship FS. The alarm device 410 performs an alarm operation to issue an alarm to confirm that the crew FP is safe. When the alarm device 410 is performing an alarm operation and an operation to stop the alarm operation is received from the crew FP, the alarm canceller 420 causes the alarm device 410 to stop the alarm operation.

[0023] If, during the crew monitoring process, there is any doubt as to whether the crew FP is safe, the crew monitoring device 500 causes the alarm device 410 to initiate an alarm operation. If the alarm operation of the alarm device 410 is not cancelled by the alarm canceller 420, the crew monitoring device 500 wirelessly outputs an emergency notification signal 500e indicating that an emergency has occurred for the crew FP to the monitoring server 710 outside the ship.

[0024] The monitoring server 710, which has received the emergency alert signal 500e, performs a rescue request process to dispatch rescue to the location of the vessel FS. The rescue request process is performed, for example, to another vessel sailing around the vessel FS, a fishery cooperative, the Japan Coast Guard, or other predetermined locations.

[0025] As described above, according to the crew monitoring system 100A of this embodiment, if an emergency occurs to a crew member FP, a rescue request is automatically made. Below, each component of the crew monitoring system 100A will be described in detail.

[0026] 2 is a conceptual diagram showing the configuration of a crew-worn transmitter 200 worn by a crew member FP. When multiple crew members FP are on board a ship FS, each crew member FP wears a crew-worn transmitter 200.

[0027] The crew-worn transmitter 200 has an ID signal output unit 220 that outputs an ID signal for identifying the crew FP wearing the crew-worn transmitter 200, and a crew movement sensor 230 that detects the movement of the crew FP. Specifically, the crew movement sensor 230 is configured by an acceleration sensor.

[0028] The crew-worn transmitter 200 also has a transmitting unit 210 that transmits the ID signal output by the ID signal output unit 220 and the detection result of the crew motion sensor 230 on a carrier as the aforementioned notification radio wave 200e. The transmitting unit 210 transmits the notification radio wave 200e at a predetermined repetition period. The repetition period is, for example, 10 milliseconds (ms) or more and 120 seconds (s) or less.

[0029] Fig. 3 is a conceptual diagram showing the configuration of a crew monitoring device 500 installed on a ship FS. The crew monitoring device 500 is equipped with a communication device 520 that receives the notification radio waves 200e from the crew-worn transmitters 200. The communication device 520 also serves to receive ship rolling data as a detection result from the ship rolling sensor 310 shown in Fig. 1 and to output an emergency alert signal 500e to the monitoring server 710 shown in Fig. 1.

[0030] The seafarer monitoring device 500 also includes a storage device 530 that stores a seafarer monitoring program 531 that defines the procedure for a seafarer monitoring process for monitoring the seafarer FP in real time, and a processor 510 that executes the seafarer monitoring program 531. Below, we will explain the functions that are realized when the processor 510 executes the seafarer monitoring program 531.

[0031] As shown in FIG. 4, the crew monitoring device 500 includes a determination unit 510a that performs a determination process to determine whether an emergency situation has occurred for the crew member FP.

[0032] The determination unit 510a has a notification radio wave intensity determination unit 510b that performs a notification radio wave intensity determination process to determine the intensity (hereinafter referred to as the received intensity) of the notification radio wave 200e received by the communication device 520, and a low output period length determination unit 510c that performs a low output period length determination process to determine the length of the period (hereinafter referred to as the low output period) during which the received intensity of the determined notification radio wave 200e is below a predetermined threshold radio wave intensity.

[0033] The threshold radio wave intensity is set in advance as a signal indicating that the seafarer FP is on board the ship. For example, if the seafarer FP falls into the sea, the reception strength of the notification radio wave 200e will be lower than the threshold radio wave intensity because radio waves are generally attenuated significantly in the sea.

[0034] The determination unit 510a also has a determination process execution unit 510d that performs a determination execution process to determine whether an emergency has occurred for the seafarer FP based on the length of the low power period identified by the low power period length identification unit 510c. The determination process execution unit 510d determines that an emergency has occurred for the seafarer FP when the length of the low power period exceeds an allowable low power period length that is set as a sign that the seafarer FP is normal.

[0035] The judgment unit 510a also has a vessel rocking data acquisition unit 510e that performs vessel rocking data acquisition processing to acquire vessel rocking data indicating the severity of rocking of the vessel FS from the vessel rocking sensor 310 shown in Figure 1, a start rocking intensity identification unit 510f that performs start rocking intensity identification processing to identify the severity of rocking of the vessel FS when the low power period starts (hereinafter referred to as start rocking intensity) using the acquired vessel rocking data, and an allowable low power period length setting unit 510g that performs allowable low power period length setting processing to set the allowable low power period length according to the start rocking intensity.

[0036] The allowable low power period length setting unit 510g sets the allowable low power period length shorter as the starting rocking strength increases. This is because the greater the starting rocking strength, the more likely it is that the low power period was caused by the crew member FP falling into the sea due to the violent rocking of the ship FS. In other words, since it is highly likely that the crew member FP fell into the sea, the allowable low power period length is set shorter to increase the detection sensitivity in order to reliably and quickly detect such an emergency.

[0037] The determination unit 510a also has a crew data acquisition unit 510h that performs crew data acquisition processing to acquire the detection results (hereinafter referred to as crew data) of the crew motion sensor 230 shown in Fig. 2 from the notification radio wave 200e received by the communication device 520. The crew data is time-series data in which detection values ​​representing the movements of the crew FP, specifically, detection values ​​of acceleration, are arranged in time series.

[0038] The determination unit 510a also has a correction unit 510i that performs a correction process to correct the crew data acquired by the crew data acquisition unit 510h. The correction unit 510i corrects the crew data using the vessel rolling data acquired by the vessel rolling data acquisition unit 510e.

[0039] That is, the correction unit 510i performs a correction to reduce the contribution of the pitching of the ship FS to the movement of the crew member FP from the detection result of the movement of the crew member FP. Specifically, the correction unit 510i subtracts the detection value included in the ship pitching data at the same time from the detection value included in the crew data.

[0040] As a result, the correction unit 510i generates corrected crew data that represents the movement of the crew FP relative to the ship FS. As described above, both the crew data and the ship rolling data are time-series data. The corrected crew data is also time-series data in which values ​​that represent the movement of the crew FP relative to the ship FS (hereinafter referred to as relative motion values) are arranged in a time series.

[0041] The determination unit 510a also has a crew immobility period length determination unit 510j that performs a crew immobility period length determination process using the corrected crew data to determine the length of a period during which the crew FP is not moving relative to the ship FS (hereinafter referred to as the crew immobility period). Here, the "crew immobility period" is a period during which the relative action value included in the corrected crew data is below a predetermined threshold value that indicates that the crew FP is not moving, and is not necessarily a period during which the relative action value is zero.

[0042] The determination process execution unit 510d determines that an emergency has occurred for the crew member FP when the length of the crew member immobility period exceeds a preset allowable immobility period length that indicates that the crew member FP is normal.

[0043] The crew monitoring device 500 also has an onboard output unit 510k that performs onboard output processing to cause the alarm device 410 shown in Fig. 1 to initiate an alarm operation. When the determination processing execution unit 510d determines that an emergency situation has occurred for the crew FP, the onboard output unit 510k outputs an emergency situation detection signal indicating that this determination has been made to the alarm device 410, thereby causing the alarm device 410 to initiate an alarm operation.

[0044] The crew monitoring device 500 also has an overboard output unit 510l that performs overboard output processing to output an emergency alert signal 500e to the monitoring server 710 shown in Fig. 1. The overboard output unit 510l outputs the emergency alert signal 500e to the monitoring server 710 if the alarm operation of the alarm device 410 is not cancelled by the alarm canceller 420 within a predetermined confirmation period.

[0045] The crew monitoring process realized by the cooperation of the above-mentioned units will be specifically described below with reference to FIG.

[0046] As shown in Figure 5, first, the judgment processing execution unit 510d determines whether the length of the crew immobility period identified by the crew immobility period length identification unit 510j exceeds the allowable immobility period length previously set as indicating that the crew FP is normal (step S11).

[0047] If the length of the crew immobility period exceeds the allowable immobility period length (step S11; YES), the crew FP may have suffered a heart attack or other emergency, making the crew FP unable to move on the ship. In this case, the determination process execution unit 510d determines that an emergency has occurred to the crew FP.

[0048] Upon receiving this determination, the onboard output unit 510k outputs an emergency situation detection signal indicating that it has been determined that an emergency situation has occurred for the seafarer FP to the alarm device 410. This causes the alarm device 410 to start an alarm operation (step S15).

[0049] Thereafter, the outboard output unit 510l determines whether the alarm operation of the alarm device 410 has been cancelled within a predetermined confirmation period (step S16). If no emergency situation has occurred for the crew FP, the crew FP can cancel the alarm operation of the alarm device 410 using the alarm canceller 420. If the alarm operation has been cancelled within the confirmation period in this way (step S16; YES), no emergency situation has occurred for the crew FP, and so the processing returns to step S11 to continue real-time monitoring.

[0050] On the other hand, if the alarm operation is not canceled within the confirmation period (step S16; NO), the offboard output unit 510l outputs an emergency alert signal 500e to the offboard monitoring server 710 to request rescue (step S17), and then ends this processing.

[0051] Also, in step S11, if the length of the crew immobility period does not exceed the allowable immobility period length (step S11; NO), the start fluctuation strength identification unit 510f determines whether the reception strength of the notification radio wave 200e identified by the notification radio wave strength identification unit 510b has fallen below a predetermined threshold radio wave strength (step S12).

[0052] If the reception strength of the notification radio wave 200e is equal to or greater than the threshold radio wave strength (step S12; NO), the presence of the mariner FP can be confirmed, and the process returns to step S11 to continue real-time monitoring.

[0053] On the other hand, if the reception strength of the notification radio wave 200e is less than the threshold radio wave strength (step S12; YES), the start-up rocking strength determination unit 510f determines the start-up rocking strength, which is the severity of the rocking of the ship FS at that time, i.e., when the reception strength of the notification radio wave 200e falls below the threshold radio wave strength.

[0054] Here, the start-time rocking intensity when the reception strength of the notification radio wave 200e falls below the threshold radio wave intensity can be, specifically, the time average of the intensity of rocking of the ship FS over a period including before and after the time when the reception strength of the notification radio wave 200e falls below the threshold radio wave intensity. Such a time average is calculated by the start-time rocking intensity identification unit 510f using the ship rocking data.

[0055] Next, the allowable low power period length setting unit 510g sets an allowable low power period length indicating that the seafarer FP is normal, in accordance with the start-time rocking strength identified by the start-time rocking strength identifying unit 510f (step S13).

[0056] As described above, the allowable low-power period length setting unit 510g sets the allowable low-power period length shorter to increase the sensitivity of emergency detection because the greater the starting rocking strength, the higher the possibility that the seafarer FP has fallen into the sea. Also, the allowable low-power period length setting unit 510g sets the allowable low-power period length longer to reduce unnecessary detection because the smaller the starting rocking strength, the lower the possibility that the seafarer FP has fallen into the sea.

[0057] Next, the judgment process execution unit 510d determines whether the length of the low output period, which is the period during which the reception strength of the notification radio wave 200e is below the threshold radio wave strength, exceeds the allowable low output period length set in step S13 (step S14).

[0058] If the length of the low power period is equal to or less than the allowable low power period length (step S14; NO), it cannot be said that an emergency has occurred for crew member FP, and the process returns to step S11 to continue real-time monitoring.

[0059] On the other hand, if the length of the low power period exceeds the allowable low power period length (step S14; YES), there is a possibility that the crew member FP has fallen into the sea, and so the determination process execution unit 510d determines that an emergency has occurred for the crew member FP. In response to this determination, the onboard output unit 510k outputs an emergency detection signal to the alarm device 410, and the alarm device 410 starts issuing an alarm (step S15). The process from step S16 onwards is as described above.

[0060] As explained with reference to Fig. 2, the notification radio wave 200e transmitted from the crew-worn transmitter 200 includes an ID signal that identifies the crew FP. Therefore, when multiple crew FPs are on board the ship FS, the crew monitoring process shown in Fig. 4 is performed for each crew FP. However, the alarm 410 and alarm canceller 420 may be shared by multiple crew FPs.

[0061] Even if multiple crew members FP are on board the ship FS, the ID signals corresponding to all crew members FP on board the ship FS are known in advance, so in step S12, even if the reception strength of the notification radio wave 200e becomes zero, it is possible to identify which crew member FP the strength of the notification radio wave 200e corresponding to has become zero.

[0062] As described above, the crew monitoring system 100A according to this embodiment repeatedly determines in real time whether an emergency has occurred for the crew FP based not only on the reception strength of the notification radio wave 200e but also on the severity of the rocking of the ship FS. This allows for accurate detection of an emergency situation for the crew FP.

[0063] Specifically, the allowable low power period length setting unit 510g sets the allowable low power period length shorter as the initial rocking strength increases. This increases the sensitivity of emergency detection. Therefore, when there is a high possibility that the crew member FP has fallen into the sea, the emergency is less likely to be missed and can be detected quickly and with high certainty.

[0064] Furthermore, the allowable low output period length setting unit 510g sets the allowable low output period length longer as the initial rocking strength decreases. This reduces the sensitivity of emergency detection. Therefore, when the possibility that the crew member FP has fallen into the sea is low, it is unlikely that the alarm 410 will be unnecessarily activated.

[0065] In addition, in the crew monitoring system 100A of this embodiment, whether or not an emergency has occurred for the crew member FP is determined based not only on the strength of the notification radio wave 200e and the severity of the rocking of the ship FS, but also on the detection results of the movement of the crew member FP.

[0066] Specifically, if the length of the crew immobility period during which the crew FP is barely moving exceeds a predetermined allowable immobility period, it is detected that an emergency has occurred for the crew FP. Therefore, not only can the crew FP fall into the sea, but also a state in which the crew FP is unable to move on board the ship be detected as an emergency.

[0067] [Second embodiment] 2 illustrates a configuration in which the crew-worn transmitter 200 is equipped with a crew member movement sensor 230 that detects the movement of the crew member FP. The crew-worn transmitter 200 may be equipped with a crew member biosensor that detects the in vivo activity of the crew member FP instead of or in addition to the crew member movement sensor 230. A specific example of this is described below.

[0068] 6, in this embodiment, the crew data acquisition unit 510h acquires crew data from the crew biosensor 240 that detects the in-vivo activity of the crew FP. In this embodiment, the crew data is time-series data in which detection values ​​representing the in-vivo activity of the crew FP, specifically, detection values ​​of the strength of the crew FP's pulse, are arranged in time series.

[0069] The crew member biosensor 240 is provided in the crew-worn transmitter 200 instead of the crew member motion sensor 230 shown in Fig. 2. The crew member data according to this embodiment is transmitted via the notification radio wave 200e, just like in the first embodiment. The crew member data acquisition unit 510h acquires the crew member data by demodulating the notification radio wave 200e.

[0070] The determination unit 510a according to this embodiment also includes a biological abnormality period length determination unit 510m that performs a biological abnormality period length determination process to determine the length of a period during which an abnormality occurred in the biological tissue of the seafarer FP (hereinafter referred to as the biological abnormality period) using the crew data acquired by the crew data acquisition unit 510h. Here, the biological abnormality period refers to, for example, a period during which the pulse is abnormally fast, a period during which the pulse is abnormally slow, or a period during which the pulse strength is abnormally weak.

[0071] The determination process execution unit 510d according to this embodiment compares the length of the biological abnormality period identified by the biological abnormality period length identification unit 510m with a predetermined allowable abnormality period length that indicates that the seafarer FP is normal, in a determination corresponding to step S11 in Fig. 5. If the length of the biological abnormality period exceeds the allowable abnormality period length, the determination process execution unit 510d determines that an abnormality has occurred in the seafarer FP.

[0072] In this embodiment, the crew biosensor 240 is one that detects the pulse of the crew FP, but the crew biosensor 240 is not limited to this. For example, the crew biosensor 240 may be one that detects the blood oxygen saturation of the crew FP. The other configurations and effects are the same as those of the first embodiment.

[0073] [Third embodiment] Next, an embodiment of the report creation support system will be described using an example in which the ship FS is a fishing boat.

[0074] As shown in Figure 7, the report creation support system 100B of this embodiment comprises a ship activity estimation device 600 installed on the ship FS and an outside report creation server 720 that can communicate with the ship activity estimation device 600 via a communication line NE.

[0075] The report creation support system 100B also includes a ship position sensor 320 installed on the ship FS. The ship position sensor 320 generates ship position data in which detected values ​​of the position of the ship FS while sailing, specifically, coordinate values ​​representing the position of the ship FS, are arranged in chronological order. The ship position sensor 320 is configured, for example, with a GNSS (Global Navigation Satellite System) receiver that detects the position based on signals from GNSS satellites.

[0076] The report creation support system 100B also includes an equipment sensor 330 installed on the ship FS. The equipment sensor 330 generates equipment status data in which detection values ​​indicating the operating or usage status of equipment (not shown) mounted on the ship FS are arranged in chronological order. Here, the equipment refers to equipment equipped on the ship FS, such as an engine, a winch for reeling in longlines, a winch for reeling in fishing nets, and a refrigerator.

[0077] In addition, the report creation support system 100B also includes a crew-worn transmitter 200 worn by the crew member FP, and a ship motion sensor 310 installed on the ship FS. The configurations and functions of these are as described in the first embodiment.

[0078] The ship activity estimation device 600 estimates the activities performed during the navigation of the ship FS using ship position data generated by the ship position sensor 320, equipment status data generated by the equipment sensor 330, ship rocking data generated by the ship rocking sensor 310, and crew data generated by the crew-worn transmitter 200.

[0079] Then, when communication is established with the report creation server 720, the ship activity estimation device 600 outputs activity content data D4 representing the results of the estimation of the activity content to the report creation server 720. The report creation server 720 uses the activity content data D4 acquired from the ship activity estimation device 600 to create report data representing the results of the navigation.

[0080] In this way, the report creation support system 100B according to this embodiment supports the creation of report data. The configuration of the vessel activity estimation device 600 will now be described in detail.

[0081] 8, the vessel activity estimation device 600 includes a communication device 620. The communication device 620 has the roles of receiving vessel position data from the vessel position sensor 320, receiving equipment status data from the equipment sensor 330, receiving vessel motion data from the vessel motion sensor 310, receiving crew data from the crew-worn transmitter 200 via the notification radio waves 200e, and transmitting activity content data 600e to the report creation server 720.

[0082] The vessel activity estimation device 600 also includes a storage device 630. The storage device 630 stores a vessel activity estimation program 631 that defines the procedure for the estimation process for estimating the details of activities performed during the navigation of the vessel FS. The storage device 630 also stores a trained model 632 used in the estimation process.

[0083] The vessel activity estimation device 600 also includes a processor 610 that executes a vessel activity estimation program 631. Functions realized by the processor 610 executing the vessel activity estimation program 631 will be described below.

[0084] 9, the vessel activity estimation device 600 has a vessel position data acquisition unit 610a that performs vessel position data acquisition processing to acquire vessel position data D1 from the vessel position sensor 320 via the communication device 620. As described above, the vessel position data D1 is time-series data in which coordinate values ​​representing the position of the vessel FS are arranged in time series.

[0085] The vessel activity estimation device 600 also has an equipment status data acquisition unit 610b that performs an equipment status data acquisition process to acquire equipment status data D2 from the equipment sensor 330 via the communication device 620. As described above, the equipment status data D2 is time-series data in which detection values ​​that indicate the operating or usage status of equipment such as an engine, a winch that reels in a longline, a winch that reels in a fishing net, and a refrigerator are arranged in time series.

[0086] The vessel activity estimation device 600 also has a vessel rolling data acquisition unit 610c that performs vessel rolling data acquisition processing to acquire vessel rolling data from the vessel rolling sensor 310 through the communication device 620. As described above, the vessel rolling data is time series data in which the intensity of the rolling of the vessel FS, specifically, the detected values ​​of acceleration, are arranged in time series.

[0087] The vessel activity estimation device 600 also has a crew data acquisition unit 610d that performs crew data acquisition processing to acquire crew data from the notification radio waves 200e received via the communication device 620. As described above, the crew data is time-series data in which detection values ​​representing the movements of the crew FP, specifically, detection values ​​of acceleration, are arranged in time series.

[0088] The vessel activity estimation device 600 also has a correction unit 610e that performs correction processing to correct the crew data acquired by the crew data acquisition unit 610d. The correction unit 610e uses the crew data acquired by the crew data acquisition unit 610d and the vessel rolling data acquired by the vessel rolling data acquisition unit 610c to perform correction to reduce the contribution of the rolling of the vessel FS to the movements of the crew FP from the detection results of the movements of the crew FP.

[0089] In this way, the correcting unit 610e generates the corrected crew data D3. The corrected crew data D3 is time-series data in which relative motion values ​​that represent the motion of the crew FP relative to the ship FS are arranged in time series.

[0090] The vessel activity estimation device 600 also has an estimation unit 610f that performs estimation processing to estimate the activity content performed during the navigation of the vessel FS (hereinafter referred to as the activity content of the vessel FS) using the vessel position data D1, the equipment condition data D2, and the corrected crew data D3. The function of the estimation unit 610f is realized by the trained model 632 shown in FIG. 8.

[0091] In addition, in the case of a fishing vessel, the "activities of a vessel FS" specifically refer to departure from port, movement toward fishing grounds, exploration of fishing grounds, fishing, anchoring offshore, and returning to port.

[0092] Here, "fishing" means that the type of fishery product that was caught can also be specified. In other words, the estimation unit 610f can estimate not only that the vessel FS has simply caught fish, but also what type of fishery product was caught, as the activity content of the vessel FS.

[0093] The ship activity content data D4 has a data structure in which the specific activity content of the ship FS described above is associated with the time when the activity content was performed. In other words, the ship activity content data D4 makes it possible to identify when and what activities the ship FS performed from departure to return to port.

[0094] There is a correlation between the vessel position data D1, the equipment status data D2, and the corrected crew data D3 and the activities of the vessel FS. Therefore, it is theoretically possible to estimate the activities of the vessel FS using the vessel position data D1, the equipment status data D2, and the corrected crew data D3.

[0095] Below, we will use "fishing" as an example of the activity of a ship FS and provide an illustrative description of the correlation between the ship position data D1, equipment status data D2, and corrected crew data D3 and the activity of the ship FS.

[0096] Figure 10 is a conceptual diagram showing the trajectory TA of a ship FS that can be confirmed using the ship position data D1. As mentioned above, the ship position data D1 is time-series data in which coordinate values ​​representing the position of the ship FS are arranged in chronological order. The trajectory TA is obtained by plotting the coordinate values ​​included in the ship position data D1 on a two-dimensional coordinate plane and connecting the plots with line segments.

[0097] To make the ship speed easier to understand, arrows indicating the direction of travel of the ship FS are placed at equal time intervals on the trajectory TA. The closer the intervals between the arrows, the slower the ship speed.

[0098] The extremely slow section TA1 of the trajectory TA indicates that the vessel FS is being carried away by the tide. This extremely slow section TA1 is typically seen in squid fishing, where the vessel is carried away by the tide.

[0099] Furthermore, during squid fishing, the vessel FS is not actively propelled under its own power, and therefore, according to the equipment status data D2 during the time period when the vessel was traveling at extremely low speeds (TA1), it is confirmed that the engine, which is part of the equipment, is stopped or idling.

[0100] Furthermore, in squid fishing, crew member FP moves relatively vigorously on board vessel FS, and this movement is random. This tendency of movement can be confirmed from the corrected crew member data D3 for the time period when the extremely slow speed portion TA1 was navigated.

[0101] 11 is a conceptual diagram showing another trajectory TB of the ship FS that can be confirmed using the ship position data D1. In this example, the trajectory TB includes a combination of an outbound portion TB1 that represents a straight line of travel and a return portion TB2 that represents a meandering return along the outbound portion TB1.

[0102] This combination of the outward journey segment TB1 and the return journey segment TB2 is typically seen in yellowtail longline fishing. That is, the outward journey segment TB1 represents the setting of the longline, and the return journey segment TB2 represents the retrieval of the longline.

[0103] Furthermore, according to the equipment status data D2 for the time period when the outbound portion TB1 was sailed, it is confirmed that the longline winch was in the state of letting out the longline, while according to the equipment status data D2 for the time period when the inbound portion TB2 was sailed, it is confirmed that the longline winch was in the state of reeling in the longline.

[0104] Furthermore, according to the corrected crew data D3 for the time period when the return journey section TB2 was conducted, it is confirmed that crew member FP tends to perform periodic movements, repeatedly removing yellowtail from the longline hook. According to the corrected crew data D3 for the time period when the outbound journey section TB1 was conducted, it is confirmed that crew member FP's movements were gentler than those for the time period when the return journey section TB2 was conducted.

[0105] As explained above, there is a correlation between the vessel position data D1, the equipment condition data D2, and the corrected crew data D3 and the activity details of the vessel FS. In Figures 10 and 11, "fishing" is used as an example of the activity details of the vessel FS, but it will be understood by those skilled in the art that other activity details, such as departure from port, movement toward fishing grounds, searching for fishing grounds, staying offshore, returning to port, etc., can also be identified using the vessel position data D1, the equipment condition data D2, and the corrected crew data D3.

[0106] Therefore, the above-described correlation can be used to realize the function of the estimation unit 610f shown in Fig. 9. As described above, in this embodiment, the function of the estimation unit 610f is realized by the trained model 632 shown in Fig. 8.

[0107] The trained model 632 shown in Figure 8 is the result of machine learning to estimate the activity of the ship FS by time using the ship position data D1, equipment status data D2, and corrected crew data D3.

[0108] Below, a learning model generation device for generating the learned model 632 will be described.

[0109] As shown in Figure 12, the learning model generation device 800 is pre-prepared with a set of learning ship position data 811, learning equipment status data 812, learning corrected crew data 813, and learning activity content data 814.

[0110] The learning vessel position data 811 is teacher data corresponding to the vessel position data D1 shown in Figure 9, and may be a sample of the actually measured vessel position data D1. The learning equipment condition data 812 is teacher data corresponding to the equipment condition data D2 shown in Figure 9, and may be a sample of the actually measured equipment condition data D2. The learning corrected crew data 813 is teacher data corresponding to the corrected crew data D3 shown in Figure 9, and may be a sample of the actually measured corrected crew data D3.

[0111] The learning activity content data 814 is teacher data corresponding to the activity content data D4 shown in Fig. 9. The learning activity content data 814 is data that correctly identifies the actual activity content of the ship FS for each hour when the learning ship position data 811, the learning equipment status data 812, and the learning corrected crew data 813 are obtained. The learning activity content data 814 is, for example, created manually.

[0112] The learning model generation device 800 also has a generation unit 820 that generates a learned model 632 using learning ship position data 811, learning equipment status data 812, learning corrected crew data 813, and learning activity content data 814.

[0113] The generation unit 820 learns a policy for estimating the learning activity content data 814 from the learning ship position data 811, the learning equipment status data 812, and the learning corrected crew data 813. Through such machine learning, a learned model 632 is generated.

[0114] The explanation will be continued by returning to Figure 9. The vessel position data D1, the equipment state data D2, and the corrected crew data D3 are input to the estimation unit 610f realized by the trained model 632 generated as described above.

[0115] The trained model 632 as the estimation unit 610f outputs activity content data D4 as an estimation result of the activity content of the ship FS. The activity content data D4 represents an estimation result of when and what activities the ship FS performed from departure to return to port.

[0116] The ship activity estimation device 600 also has an outside vessel output unit 610g that acquires activity content data D4 from the trained model 632 as the estimation unit 610f. The outside vessel output unit 610g outputs the acquired activity content data D4 to the report creation server 720 shown in Fig. 7. The report creation server 720 uses the activity content data D4 to create report data.

[0117] As described above, the vessel activity estimation device 600 according to this embodiment can estimate the activity details of the vessel FS using the vessel position data D1. Specifically, the activity details data D4 representing the estimation results of the activity details of the vessel FS is automatically generated. Then, the activity details data D4 is used to create a report that shows the results of the navigation. Therefore, compared to the conventional method, it is possible to further reduce the labor required to create the report.

[0118] Furthermore, the activity details of the ship FS are estimated using not only the ship position data D1 but also the equipment status data D2 during the navigation period and crew data representing the movements of the crew FP during the navigation period. This allows for higher accuracy of estimation compared to when only the ship position data D1 is used for estimation.

[0119] Furthermore, the crew data is corrected using vessel pitching data that indicates the intensity of pitching of the vessel FS, and then used to estimate the activity details of the vessel FS. Specifically, the crew data is corrected to reduce the contribution of pitching of the vessel FS, thereby generating corrected crew data D3 that indicates the relative movement of the crew FP with respect to the vessel FS. The corrected crew data D3 is then used to estimate the activity details of the vessel FS. The corrected crew data D3 allows for a more accurate understanding of the activities of the crew FP, thereby improving the accuracy of the estimation of the activity details of the vessel FS compared to when uncorrected crew data is used for the estimation.

[0120] [Fourth embodiment] In the third embodiment described above, the crew-worn transmitter 200 may be provided with a crew biosensor that detects in-vivo activity of the crew FP, in place of the crew motion sensor 230, or in addition to the crew motion sensor 230, as in the second embodiment. A specific example will be described below.

[0121] 13, in this embodiment, the crew data acquisition unit 610d acquires crew data from the crew biosensor 240 that detects the in-vivo activity of the crew FP. In this embodiment, the crew data D3' is time-series data in which detection values ​​that represent the in-vivo activity of the crew FP, specifically, detection values ​​of the strength of the crew FP's pulse, are arranged in time series.

[0122] In this embodiment, the estimation unit 610f estimates the activity details of the vessel FS using the vessel position data D1, the equipment status data D2, and the crew data D3'.

[0123] The crew data D3', which represents a time series of detection values ​​that indicate the in vivo activity of the crew FP, also reflects the intensity of the movement of the crew FP relative to the ship FS, just like the corrected crew data D3 described above. Therefore, it will be understood by those skilled in the art that the crew data D3' can be used to estimate the activity of the ship FS, either in place of the corrected crew data D3 or together with the corrected crew data D3.

[0124] In this embodiment, the crew biosensor 240 detects the pulse of the crew FP, but the crew biosensor 240 is not limited to this. For example, the crew biosensor 240 may detect the blood oxygen saturation of the crew FP. The other configurations and effects are the same as those of the third embodiment.

[0125] [Fifth embodiment] In the third and fourth embodiments described above, the estimation unit 610f estimates the activity details of the vessel FS. In the present embodiment, the estimation unit 610f further estimates the catch amount and fuel consumption amount in addition to the activity details of the vessel FS.

[0126] As explained with reference to Figures 10 and 11, the period during which the vessel FS is fishing can be identified using the vessel position data D1. Furthermore, the more vigorously the crew member FP moves during that period, the greater the catch. Such crew member FP's movements can be identified using the corrected crew member data D3 or the crew member data D3'. Furthermore, the amount of catch is also reflected in the use status of the equipment, including after refrigeration. Such equipment use status can be identified using the equipment status data D2.

[0127] As described above, the amount of catch is reflected in the vessel position data D1, the equipment status data D2, the corrected crew data D3, or the crew data D3'. Therefore, it will be understood by those skilled in the art that it is possible, in principle, to estimate the amount of catch using these data.

[0128] 10 and 11, the vessel position data D1 can be used to identify the change in the speed of the vessel FS over time. Also, as described with reference to Fig. 10, the vessel position data D1 can be used to identify whether the engine of the vessel FS is stopped or idling, or whether the engine of the vessel FS is actively generating thrust. Therefore, it will be understood by those skilled in the art that it is, in principle, possible to estimate fuel consumption using the vessel position data D1.

[0129] The first to fifth embodiments have been described above. The following modifications are also possible.

[0130] (1) In the third embodiment, the estimation unit 610f estimates the activity details of the ship FS using the ship position data D1, the equipment status data D2, and the corrected crew data D3. The estimation unit 610f may estimate the activity details of the ship FS using only the ship position data D1, may estimate the activity details of the ship FS using only the ship position data D1 and the equipment status data D2, may estimate the activity details of the ship FS using only the ship position data D1 and the corrected crew data D3, or may estimate the activity details of the ship FS using only the ship position data D1 and the crew data D3'.

[0131] (2) In the third embodiment, a trained model 632 generated by supervised learning is exemplified. The learning algorithm for generating the trained model 632 is not limited to supervised learning. Unsupervised learning may also be used as the learning algorithm. In this case, the resulting training activity content data 814 shown in FIG. 12 is not required. The generation unit 820, to which a definition of the distance between data is given in advance, learns the features of the training ship position data 811, the training equipment status data 812, and the training corrected crew data 813 by clustering, and generates the trained model 632.

[0132] (3) Furthermore, the ship activity estimation device 600 according to the third embodiment may include an update unit that updates the trained model 632 by reinforcement learning. In this case, the mariner FP may subsequently check the report data created by the report creation server 720 and determine a reward representing the accuracy of the report data. Data representing the reward is fed back to the update unit. The update unit updates the policy by which the trained model 632 estimates the activity details under conditions that maximize the reward.

[0133] (4) In the third to fifth embodiments, a configuration has been described in which the trained model 632 is used to estimate the activity details of the ship FS. Artificial intelligence does not necessarily have to be used to estimate the activity details of the ship FS. The estimation unit 610f may identify the activity details of the ship FS by searching the ship position data D1, the equipment status data D2, the corrected crew data D3, and the crew data D3' and extracting, from each piece of data, parts that identify the activity details of the ship FS by pattern recognition.

[0134] (5) In the third embodiment, the vessel position data D1 is exemplified as data detected by the vessel position sensor 320. The vessel position data D1 may be data that represents the time series of the vessel's position, and the means for generating the vessel position data D1 is not particularly limited. For example, the vessel position data D1 may be data generated by satellite remote sensing, or may be data generated using vessel radar or an AIS (Automatic Identification System).

[0135] (6) Figure 2 illustrates an example of a configuration in which the crew movement sensor 230 is mounted on the crew-worn transmitter 200. The crew-worn transmitter 200 does not necessarily have to be equipped with the crew movement sensor 230. Furthermore, the crew data, in which detection values ​​representing the movements of the crew FP are arranged in chronological order, does not necessarily have to be generated by the crew movement sensor 230, which is an acceleration sensor. The crew data may be generated by a means of detecting the movements of the crew FP in a non-contact manner, such as by applying radio waves, ultrasonic waves, infrared rays, or the like to the crew FP, or by photographing the crew FP.

[0136] (7) In the third to fifth embodiments, the vessel FS is described as a fishing vessel, but the vessel FS is not limited to a fishing vessel. For example, if the vessel FS is a patrol vessel, the estimation unit 610f can estimate which activity the vessel FS has performed as a patrol vessel, such as patrol, enforcement, rescue, or departure.

[0137] (8) The configurations according to the first and second embodiments may be combined with the configurations according to the third to fifth embodiments. That is, the monitoring server 710 shown in Fig. 1 may also have the functions of the report creation server 720 shown in Fig. 7. The crew monitoring device 500 shown in Fig. 1 may also have the functions of the activity estimation device 6100 shown in Fig. 7. The ship FS shown in Fig. 1 may further be equipped with a ship position sensor 320 and an equipment sensor 330 shown in Fig. 7.

[0138] (9) By installing the seafarer monitoring program 531 shown in Figure 2 on an existing smartphone, tablet, or other computer, the computer can be made to realize the functions of the seafarer monitoring device 500. The seafarer monitoring program 531 can be distributed via a communication line, or can be stored in a computer-readable non-transitory recording medium and distributed.

[0139] (10) The ship activity estimation program 631 and the trained model 632 shown in Figure 8 can be installed on an existing smartphone, tablet, or other computer to enable the computer to realize the functions of the ship activity estimation device 600. The ship activity estimation program 631 and the trained model 632 can be distributed via a communication line, or can be stored in a computer-readable non-transitory recording medium and distributed.

[0140] The present invention can be modified in various ways without departing from its broad spirit and scope. The above-described embodiments are intended to illustrate the present invention and are not intended to limit the scope of the present invention. The scope of the present invention is defined not by the embodiments but by the claims. Various modifications made within the scope of the claims and within the meaning of the invention equivalent thereto are considered to be within the scope of the present invention.

[0141] This application is based on Japanese Patent Application No. 2022-119000 filed in Japan on July 26, 2022. The entire specification, claims, and drawings of Japanese Patent Application No. 2022-119000 are incorporated herein by reference. [Explanation of symbols]

[0142] 100A...Crew monitoring system, 100B...Report creation support system, 200...Transmitter worn by crew, 200e...Notification radio waves, 210...Transmission Department, 220...ID signal output unit, 230...Sailor movement sensor, 240...Seafarer biosensor, 310...ship rocking sensor, 320...ship position sensor, 330...equipment sensor, 410...alarm, 420...Alarm release device, 500...Crew monitoring device, 500e...emergency alert signal, 510...processor, 510a...judgment section, 510b...Notification radio field strength identification unit, 510c...Low output period length identification part, 510d...Determination processing execution unit, 510e...ship rocking data acquisition unit, 510f...Starting oscillation strength specifying unit, 510g: Allowable low output period length setting section, 510h...Crew data acquisition unit, 510i...correction section, 510j…Seafarer Immunity Period Identification Department; 510k...Inboard output section (output section), 510l...outboard output section, 510m…Biological abnormality period length identification part, 520...Communication devices, 530...Storage device, 531…Seafarer Watch Program, 600...Ship activity estimation device, 610...processor, 610a...ship position data acquisition unit, 610b...equipment status data acquisition unit, 610c...ship rocking data acquisition unit, 610d…Crew data acquisition unit, 610e...correction unit, 610f…Estimation section, 610g...Outboard power output unit (power output unit), 620...Communication devices, 630...Storage device, 631... Ship Activity Estimation Program; 632...pre-trained model, 710...Monitoring server, 720...Report creation server, 800...Learning model generation device, 811...Ship position data for learning, 812...Educational equipment status data, 813... Corrected crew data for learning, 814...Learning activity content data, 820...Generation section, D1: Ship position data, D2...equipment status data, D3: Corrected crew data, D3'...crew data, D4: Activity data, FS...Ship, FP...Sailor, NE...communication line, TA, TB…Trajectory, TA1…Extremely low speed part, TB1: Outbound section, TB2...return leg.

Claims

1. a determination unit that performs a determination process to determine whether an emergency situation has occurred for the crew member based on the strength of a notification radio wave received from a crew member-worn transmitter that repeatedly transmits a notification radio wave to notify the crew member of the presence of the crew member and the detection result of a ship motion sensor that repeatedly detects the intensity of the motion of the ship on which the crew member is aboard; an output unit that outputs an emergency situation detection signal indicating that an emergency situation has occurred to the seafarer when the determination unit determines that the emergency situation has occurred to the seafarer; A crew monitoring device equipped with:

2. The determination unit a low-output period length determination unit that compares the strength of the notification radio wave with a preset threshold radio wave strength that indicates the presence of the seafarer on the ship, and determines the length of a low-output period during which the strength of the notification radio wave is below the threshold radio wave strength; a start-time rocking intensity specifying unit that specifies a start-time rocking intensity, which is the intensity of rocking of the vessel at the start of the low power period, using the detection result of the vessel rocking sensor; a determination process execution unit that performs the determination process to determine whether an emergency has occurred to the mariner based on the length of the low power period identified by the low power period length identification unit and the start time rocking strength identified by the start time rocking strength identification unit; and The crew monitoring device according to claim 1, further comprising:

3. the determination process execution unit determines that an emergency has occurred for the seafarer when the length of the low power output period exceeds an allowable low power output period length that is set as a condition indicating that the seafarer is normal, The determination unit an allowable low output period length setting unit that sets the allowable low output period length, the allowable low output period length being set to be shorter as the start-up fluctuation strength specified by the start-up fluctuation strength specifying unit is greater; The crew monitoring device according to claim 2, further comprising:

4. The notification radio wave includes a detection result of detecting the movement or in vivo activity of the mariner, The determination unit determines whether an emergency has occurred for the crew member based not only on the strength of the notification radio wave and the detection result of the ship motion sensor, but also on the detection result of the crew member's movement or in vivo activity contained in the notification radio wave. The crew monitoring device according to claim 1.

5. The notification radio wave includes a detection result of detecting the movement of the mariner, The determination unit a correction unit that uses the detection result of the crew member's movement included in the notification radio wave and the detection result of the ship motion sensor to perform a correction to reduce the contribution of the ship's motion to the crew member's movement, thereby generating corrected crew member data that represent the crew member's movement relative to the ship; and The corrected crew data is used in the determination process. A crew monitoring device according to claim 4.

6. A crew monitoring device according to any one of claims 1 to 5; an alarm device that is installed on the ship and that issues an alarm when the emergency detection signal is received from the mariner monitoring device; an alarm canceller that is installed on the ship and that, when an operation to stop the alarm operation is received from the crew while the alarm operation is being performed by the alarm device, causes the alarm device to stop the alarm operation; A crew monitoring system equipped with

7. The crew monitoring device, If the alarm operation by the alarm device continues for a period longer than a predetermined confirmation period required for the crew member to cancel the alarm operation, a notification that the emergency has occurred is output to an outside server to notify the crew member. A crew monitoring system according to claim 6.

8. a crew-worn transmitter worn by the crew member and configured to transmit the notification radio wave; a vessel rolling sensor that is installed on the vessel and detects the intensity of the vessel rolling; The crew monitoring system according to claim 6, further comprising:

9. On the computer, a determination unit that performs a determination process to determine whether an emergency situation has occurred for the crew member based on the strength of a notification radio wave received from a crew member-worn transmitter that repeatedly transmits a notification radio wave to notify the crew member of the presence of the crew member and the detection result of a ship motion sensor that repeatedly detects the intensity of the motion of the ship on which the crew member is aboard; an output unit that outputs, when the determination unit determines that an emergency situation has occurred to the seafarer, an emergency situation detection signal indicating that such determination has been made; This is a crew monitoring program that realizes the following functions:

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