Seawater state estimation system, seawater state estimation method, method for generating on-site environment measurement device, and on-site environment measurement device

Abstract

This seawater state estimation system comprises an information processing device. The information processing device comprises one or more control circuits and a storage medium that stores a program executed by the one or more control circuits. The one or more control circuits generate a seawater state estimation model on the basis of a measurement result measured by an artificial seawater generation device that measures, with a sensor, the state of seawater in a tank in which the seawater is stored therein, and transmit the generated seawater state estimation model to an on-site environment measurement device.

Description

Seawater state estimation system, seawater state estimation method, generation method of on-site environment measurement device, and on-site environment measurement device

[0001] The present technology relates to a seawater state estimation system, a seawater state estimation method, a generation method of an on-site environment measurement device, and an on-site environment measurement device, and particularly relates to a technology for estimating an underwater state.

[0002] It has been proposed to generate marine particles by enclosing seawater in a cylindrical tank and rotating the tank on a roller table (see, for example, Non-Patent Document 1).

[0003] A. L. Shanks & E. W. Edmondson, “Laboratory-made artificial marine snow: a biological model of the real thing”, Marine Biology, 1989, Volume 101, pages 463-470

[0004] By the way, in marine surveys, marine survey devices such as ICT (Information and Communication Technology) buoys and floating drones are used to measure, for example, water temperature, salinity concentration, and the like. In marine survey devices, it is desired to accurately estimate seawater conditions such as identifying particles present in seawater.

[0005] Therefore, the present technology aims to accurately estimate seawater conditions.

[0006] A seawater state estimation system according to the present technology includes an information processing device, the information processing device includes one or more control circuits and a storage medium that stores a program executed by the control circuits, and the control circuits generate a seawater state estimation model based on measurement results measured by an artificial seawater generator in which the state of seawater in a tank storing seawater therein is measured by a sensor, and transmit the generated seawater state estimation model to an on-site environment measurement device.

[0007] This is a diagram showing the configuration of an artificial seawater generator as an embodiment of this technology. This is a front perspective view of the artificial seawater generator. This is a rear perspective view of the artificial seawater generator. This is a cross-sectional view passing through the rotation axis of the tank and water supply / drainage device. This is a perspective view showing a part of the water supply / drainage device. This is a diagram showing an example of a sensor. This is a diagram showing the measurement range of an optical sensor. This is a block diagram showing an example of the hardware configuration of the control device. This is a block diagram showing the functional configuration of the control circuit. This is a diagram explaining the rotation control of the tank. This is a flowchart showing the flow of the ocean particle generation process. This is a flowchart showing the flow of the seawater state estimation model generation process. This is a diagram showing a seawater state estimation system including an artificial seawater generator. This is a diagram showing an example of the use of a field environment measuring device. This is a diagram showing the configuration of a field environment measuring device. This is a flowchart showing the procedure for measurement operation processing. This is a flowchart showing the procedure for measurement operation processing for a specific purpose.

[0008] The embodiments will be described below in the following order. <1. Configuration of the Artificial Seawater Generator> [1.1. Overall Configuration of the Artificial Seawater Generator] [1.2. Configuration of the Artificial Seawater Generator] [1.3. Sensor Configuration] [1.4. Control Device Configuration] [1.5. Functional Configuration of the Control Circuit] [1.6. Artificial Seawater Generation Process] [1.7. Seawater State Estimation Model Generation Process] <2. Seawater State Estimation System> <3. Modified Examples> <4. Summary> <5. This Technology>

[0009] <1. Configuration of the Artificial Seawater Generator> [1.1. Overall Configuration of the Artificial Seawater Generator] Figure 1 is a diagram showing the configuration of the artificial seawater generator 1 as an embodiment of the present technology. As shown in Figure 1, the artificial seawater generator 1 comprises an artificial seawater generator 2, a sensor 3, a lighting device 4, a control device 5, a water quality control device 6, and a pump 7.

[0010] The artificial seawater generator 2 comprises a tank 11, a roller stand 12, and a water supply / drainage device 13. In the artificial seawater generator 2, the tank 11 is rotated circumferentially by the roller stand 12 while the tank 11 is filled with seawater. The water supply / drainage device 13 is also connected to the tank 11, and it is possible to supply and drain seawater into the tank 11 via the water supply / drainage device 13 while the tank 11 is rotating. As a result, the artificial seawater generator 2 can control the state of the seawater by introducing seawater in a predetermined state into the tank 11.

[0011] The following description primarily focuses on the use of the artificial seawater generator 2 to generate marine particles. The artificial seawater generator 2 is used to periodically and over the long term to measure (observe) the state of seawater by reproducing the actual state of seawater. For example, the artificial seawater generator 2 can be used to measure various seawater conditions, such as observing the ecology of organisms like phytoplankton and zooplankton, organic particles of biological origin such as animal feces and carcasses, inorganic particles of mineral origin, anthropogenic particles from microplastics, petroleum, oils and other industrial emissions, and crystallized dissolved substances. This makes it possible to estimate the state of seawater indoors, which is difficult to measure in the field.

[0012] Here, "seawater condition" includes the state and composition (components and their concentrations) of the seawater itself, as well as the state and composition of marine particles. The state of the seawater itself includes physical information about the seawater, such as temperature, pressure, and current velocity. The composition of the seawater itself includes information about the components of the seawater. The state of the particles includes information for identifying the particles, such as their type, shape, and size. The composition of the particles includes information about the components that make up the particles. Furthermore, "measurement" refers to measurements related to the state and composition of the seawater itself, as well as the state and composition of marine particles, and is a concept that includes, for example, the identification of the type or characteristics of marine particles, and the recording and storage of imaging images of seawater. Furthermore, marine particles refer to all particles floating in seawater. Marine particles can be classified into inorganic particles of mineral origin, organic particles of biological origin, artificially originated particles, and salts that have crystallized from dissolved salts. Inorganic particles include sand, silt, and clay, which are sediments from rivers and the seabed, volcanic ash, which are fine particles released by volcanic activity, and metal oxides such as iron and manganese oxides that have precipitated in the sea. Organic particles include zooplankton, phytoplankton, microscopic algae, microorganisms such as bacteria and viruses that are abundant in seawater, the feces and carcasses of organisms that float as organic matter, and marine snow, which is an accumulation of the feces and carcasses of organisms. Artificial particles include microplastics, which are finely divided plastics that have degraded, industrial emissions such as metal particles and chemical substances that have fallen from the atmosphere, particles derived from petroleum and oils that affect marine pollution, aquaculture feed, and agricultural fertilizers and preparations. Salts include salt crystals that are produced as seawater evaporates, calcium carbonate which is fragments of coral and seashells, and silicates which are the shells of diatoms. Among marine particles, sinking particles refer to all particles that sink in the ocean due to gravity. One type of sinking particle is an aggregate called marine snow, which is suspended matter in the sea, and is formed when the carcasses and feces of plankton and tiny organic matter in seawater are bound together by mucus, etc., into flake-like or lumpy forms. The following explanation will use marine snow as an example of marine particles, but marine particles may be other types of marine particles.

[0013] The seawater supplied to tank 11 includes artificially generated seawater and seawater brought from the actual ocean. In the following, the seawater supplied to tank 11 will be referred to as artificial seawater, but this is not limited to artificially generated seawater.

[0014] Artificially produced seawater contains water, salts, nutrients, gases, metals, and organic matter. Salts include sodium chloride, magnesium chloride, magnesium sulfate, calcium sulfate, and trace amounts of calcium carbonate. Nutrients include nitrates, phosphates, and silicates. Gases include oxygen, carbon dioxide, and nitrogen. Metals include potassium, bromine, boron, and strontium. Organic matter includes organisms such as phytoplankton and zooplankton, as well as their feces, carcasses, and decomposed materials.

[0015] Sensor 3 comprehensively represents one or more sensors that optically, chemically, and physically measure the state of the artificial seawater in tank 11. Sensor 3 measures the state of the artificial seawater in tank 11 and outputs the measurement results to control device 5.

[0016] The lighting device 4 illuminates the tank 11 with light. The lighting device 4 comprehensively represents various lighting devices, such as a lighting device that illuminates the bottom of the tank 11 with light, and a lighting device that illuminates the side of the tank 11 with a sheet-like light.

[0017] The control device 5 is a computer including a control circuit, which controls the drive of the roller stand 12, i.e., the rotational movement of the tank 11. The control device 5 also controls the intensity of the light emitted from the lighting device 4, the lighting pattern, etc. Furthermore, if the pump 7 is an electric pump, the control device 5 adjusts the amount of artificial seawater supplied to and drained from the tank 11 by driving and controlling the pump 7.

[0018] Furthermore, the control device 5 performs machine learning based on the seawater conditions of the artificial seawater measured by the sensor 3 and generates a seawater condition estimation model. The seawater condition estimation model is a model (software) that estimates the seawater conditions when the seawater conditions and composition are specified. For example, when the seawater conditions and composition are specified, the seawater condition estimation model can estimate the size, composition, and number of marine particles generated by that seawater.

[0019] The water quality control device 6 is a device for adjusting the state and composition of the artificial seawater supplied to the tank 11 to predetermined target values. The water quality control device 6 includes, for example, a heater or cooler for adjusting the temperature of the artificial seawater, and an air pump for adjusting the amount of dissolved oxygen in the artificial seawater.

[0020] The water quality control device 6 may, for example, heat the artificial seawater with a heater to a predetermined target temperature, or operate an air pump to bring the artificial seawater to a predetermined target dissolved oxygen level. The operation of the water quality control device 6 may be controlled by the control device 5, or by other control devices.

[0021] The artificial seawater, whose water quality has been adjusted by the water quality control device 6, is supplied into the tank 11 through the water supply and drainage device 13. The water quality control device 6 may also be configured to adjust the water quality of the artificial seawater discharged from the tank 11.

[0022] Pump 7 is, for example, an electric pump and is driven and controlled by the control device 5. However, pump 7 may also be driven by, for example, the user.

[0023] [1.2. Configuration of the Artificial Seawater Generator] Figure 2 is a front perspective view of the artificial seawater generator 2. Figure 3 is a rear perspective view of the artificial seawater generator 2. Figure 4 is a cross-sectional view passing through the rotation axis of the tank 11 and the water supply and drainage device 13. Note that the internal structure of the rotary supply mechanism 31 is omitted in Figure 4. In the following description, the first bottom 22 side of the tank 11 will be referred to as the front direction, the second bottom 23 side of the tank 11 as the rear direction, the right side when viewed from the first bottom 22 side as the right direction, the left side when viewed from the first bottom 22 side as the left direction, the vertically upward direction as the up direction, and the vertically downward direction as the down direction.

[0024] As shown in Figures 2, 3, and 4, the tank 11 comprises a main body 21, a first bottom 22, and a second bottom 23. The main body 21, the first bottom 22, and the second bottom 23 are formed of a colorless, transparent resin material. However, the tank 11 may be made of a material other than resin, and it does not have to be colorless and transparent.

[0025] The main body portion 21 is formed in a cylindrical shape with a roughly U-shaped cross-section. The main body portion 21 is formed so that its thickness in the front-to-back direction is shorter than its diameter up to the side surface 21a.

[0026] O-ring grooves 21d are formed in the front flange portion 21b and the rear flange portion 21c of the main body portion 21, extending circumferentially. An O-ring 24 is inserted into the O-ring groove 21d. In addition, multiple screw grooves 21e for screwing in the fastening member 25 are formed in the flange portions 21b and 21c at equal intervals along the circumferential direction.

[0027] A pair of through holes 21f are formed on the side surface 21a at positions 180 degrees apart in the circumferential direction. A sealing member 26 is detachably screwed into the through holes 21f. In the artificial seawater generator 2, by removing the sealing member 26 from the main body 21, it is possible to easily remove the artificial seawater from the main body 21 or easily put materials into the main body 21. However, the artificial seawater generator 2 does not necessarily have to be provided with through holes 21f and sealing members 26.

[0028] The first bottom portion 22 abuts against the flange portion 21b from the front. The first bottom portion 22 is formed in a disc shape with a diameter larger than the diameter of the O-ring groove 21d, and covers the front bottom surface of the main body portion 21. An O-ring 24 is sandwiched between the flange portion 21b and the first bottom portion 22. This prevents the artificial seawater contained in the internal space of the main body portion 21 from leaking out from between the flange portion 21b and the first bottom portion 22. Furthermore, through holes 22a are formed in the first bottom portion 22 at positions corresponding to the screw grooves 21e in the flange portion 21b. With the first bottom portion 22 abutting against the flange portion 21b, the fastening member 25 is inserted into the through hole 22a and then screwed into the screw grooves 21e, causing the first bottom portion 22 to be tightly fitted to the main body portion 21.

[0029] The second bottom portion 23 abuts against the flange portion 21b from the rear. The second bottom portion 23 is formed in a disc shape with a diameter larger than the diameter of the O-ring groove 21d, and covers the rear bottom surface of the main body portion 21. An O-ring 24 is sandwiched between the flange portion 21c and the second bottom portion 23. This prevents the artificial seawater contained in the internal space of the main body portion 21 from leaking out from between the flange portion 21c and the second bottom portion 23. Furthermore, through holes 23a are formed in the second bottom portion 23 at positions corresponding to the screw grooves 21e in the flange portion 21c. With the second bottom portion 23 abutting against the flange portion 21c, the fastening member 25 is inserted into the through hole 23a and then screwed into the screw grooves 21e, causing the second bottom portion 23 to be tightly fitted to the main body portion 21. In the center of the second bottom portion 23, a projection 23b is formed that protrudes to the rearward side for fixing the water supply and drainage device 13, and a through-hole 23c is also formed. The center of the through-hole 23c coincides with the rotation axis of the tank 11.

[0030] In this way, the internal space 27 surrounded by the main body 21, the first bottom 22, and the second bottom 23 of the tank 11 is sealed, making it possible to store artificial seawater in the internal space 27.

[0031] The inner surfaces of the side 21a, first bottom 22, and second bottom 23 facing the internal space 27 are coated with fluorine. Therefore, in the tank 11, when artificial seawater is stored in the internal space 27, it is possible to reduce the adhesion of particles and air bubbles contained in the artificial seawater to these inner surfaces. However, the inner surfaces of the side 21a, first bottom 22, and second bottom 23 facing the internal space 27 do not necessarily have to be coated with fluorine.

[0032] Furthermore, the outer surfaces of the main body 21, the first bottom portion 22, and the second bottom portion 23 that are opposite to the inner surfaces are coated with an anti-reflective coating. This reduces the reflection of light emitted from the illumination device 4 from these outer surfaces, thereby reducing noise during measurement.

[0033] The water supply and drainage device 13 is a device that supplies artificial seawater into the tank 11 and discharges the artificial seawater from the tank 11. The water supply and drainage device 13 comprises a rotary supply mechanism 31, a connecting member 32, a fixing member 33, a water supply pipe 34, a drain pipe 35, a water supply pipe 36, a drain pipe 37, a water supply valve 38, a drain valve 39, a water supply pipe 40, a drain hole 41, and a mesh filter 42.

[0034] The rotary supply mechanism 31 is a mechanism that can rotate while supplying and discharging liquid or gas, and is, for example, a rotary manifold. The rotary supply mechanism 31 comprises a rotating part 31a and a stationary part 31b. The rotating part 31a is rotatable relative to the stationary part 31b. The rotating part 31a and the stationary part 31b are provided with the same number of connection ports, and the connection ports of a pair of rotating parts 31a and the connection ports of the stationary part 31b are connected by an internal circuit.

[0035] Specifically, the two connection ports of the rotating section 31a are connected to the water supply pipe 34 and the drain pipe 35, respectively, and the two connection ports of the fixed section 31b are connected to the water supply pipe 36 and the drain pipe 37, respectively. The rotary supply mechanism 31 connects the water supply pipe 34 and the water supply pipe 36 by an internal circuit, and also connects the drain pipe 35 and the drain pipe 37 by an internal circuit. As a result, the rotary supply mechanism 31 can circulate artificial seawater from the water supply pipe 36 to the water supply pipe 34, and from the drain pipe 35 to the drain pipe 37, even when the rotating section 31a and the fixed section 31b are rotating relative to each other.

[0036] The connecting member 32 is inserted into the central through hole 23c of the second bottom portion 23 and fixed to the protruding portion 23b by fastening members 43 such as screws. The rotating portion 31a of the rotary feeding mechanism 31 is fixed to the connecting member 32 via a fixing member 33. At this time, the rotation axis of the rotary feeding mechanism 31 is positioned coaxially with the rotation axis of the tank 11.

[0037] The water supply valve 38 is located in the middle of the water supply pipe 36. When the water supply valve 38 is open, it allows the supply of artificial seawater to the tank 11, and when it is closed, it shuts off the supply of artificial seawater to the tank 11. The water supply valve 38 may be manually switched open and closed by the user. Alternatively, the water supply valve 38 may be an electric valve and its opening and closing may be controlled by the control device 5.

[0038] The drain valve 39 is installed in the middle of the drain pipe 37. When the drain valve 39 is open, it allows the discharge of artificial seawater from the tank 11, and when it is closed, it blocks the discharge of artificial seawater from the tank 11. The drain valve 39 may be manually switched open and closed by the user. Alternatively, 39 may be an electric valve and its opening and closing may be controlled by the control device 5.

[0039] A through-hole is formed in the center of the connecting member 32, and a water supply pipe 34 is connected to this through-hole from the rear, and a water supply pipe 40 is inserted into it. The water supply pipe 40 is fixed to the connecting member 32 so as to protrude into the tank 11.

[0040] Figure 5 is a perspective view showing a part of the water supply and drainage device 13. As shown in Figures 4 and 5, the water supply pipe 40 is positioned along the axis of rotation of the tank 11, i.e., the center of rotation, and extends from the axial center of the main body 21 to the first bottom 22. In other words, the tip of the water supply pipe 40 extends forward from the center of the tank 11 in the front-rear direction, reaching near the first bottom 22. The water supply pipe 40 discharges artificial seawater supplied from the water supply pipe 34 into the tank 11.

[0041] The tip of the water supply pipe 40 (water inlet) should be positioned as far away from the drain hole 41 as possible. This reduces the likelihood of artificial seawater released from the water supply pipe 40 being immediately discharged from the drain hole 41.

[0042] Four fan-shaped drainage holes 41 are provided around the through-hole in the connecting member 32 into which the water supply pipe 40 is inserted. The cross-sectional area of ​​each drainage hole 41 is larger than the cross-sectional area of ​​the water supply pipe 40. The four drainage holes 41 are connected to each other inside the connecting member 32 and are also connected to the drain pipe 35. The drainage holes 41 discharge the artificial seawater in the tank 11 into the drain pipe 35. Note that the shape and number of drainage holes 41 are just examples, and they may be of other shapes or any number. However, it is desirable that the total cross-sectional area of ​​the drainage holes 41 be sufficiently larger than the cross-sectional area of ​​the water supply pipe 40 so as to minimize the water flow generated when discharging the artificial seawater from the tank 11.

[0043] A mesh filter 42 is attached to the side surface of the connecting member 32 where the drainage hole 41 is formed. The mesh filter 42 covers the drainage hole 41 and traps particles contained in the artificial seawater in the tank 11. In the artificial seawater generator 2, if particles contained in the artificial seawater in the tank 11 are discharged to the outside, it becomes impossible to accurately reproduce actual seawater, so the mesh filter 42 prevents the particles from being discharged to the outside.

[0044] The roller base 12 includes a fixed base 51, rollers 52, a belt 53, a motor 54, a support column 55, and a guide 56, and supports the tank 11 rotatably in the circumferential direction.

[0045] In the roller base 12, a pair of rollers 52 are rotatably provided spaced apart in the left-right direction on the fixed base 51. A belt 53 is stretched across the pair of rollers 52, and the pair of rollers 52 can rotate synchronously through the belt 53. The tank 11 is rotatably placed on the pair of rollers 52. Note that the belt 53 may not be provided in the roller base 12.

[0046] The motor 54 is connected to one of the rollers 52. The driving of the motor 54 is controlled by the control device 5. When the motor 54 is driven, the pair of rollers 52 rotate, and the tank 11 placed on the pair of rollers 52 rotates.

[0047] The support column 55 is fixed to the fixed base 51 at the center of the pair of rollers 52 on the rear side of the pair of rollers 52. The support column 55 is a plate-shaped member extending in the vertical direction. A guide 56 is attached to the upper end of the support column 55.

[0048] A linear slider (not shown) is provided between the support column portion 55 and the guide 56, and the guide 56 is attached to the support column portion 55 so as to be movable in the vertical direction and the horizontal direction. The guide 56 supports the fixed portion 31b of the rotary supply mechanism 31 so as to be movable in a direction orthogonal to the axial direction, that is, in the vertical direction and the horizontal direction. Thereby, even if the rotary supply mechanism 31 slightly moves in a direction orthogonal to the axial direction (front-rear direction) along with the rotation of the tank 11, the movement can be absorbed by the guide 56.

[0049] Note that although the roller table 12 is provided as a rotation mechanism for rotating the tank 11, this is merely an example, and another rotation mechanism may be used, such as one in which a motor is directly connected to the tank 11 and the tank 11 is rotated by the motor. Further, although the water supply and drainage device 13 is provided as a mechanism for supplying and draining artificial seawater into and out of the tank 11, this is merely an example, and any other mechanism may be used as long as it can supply and drain artificial seawater into and out of the tank 11.

[0050] Further, the water supply and drainage device 13 may reduce the influence of water flow caused by water supply and drainage on marine particles by bringing the water supply hole for supplying artificial seawater into the tank 11 close to the drainage hole 41 without providing the water supply pipe 40. A structure is also conceivable in which both the water supply hole for supplying artificial seawater and the drainage hole 41 are covered with a mesh filter 42, and artificial seawater is circulated on the opposite side of the mesh filter 42 from the internal space 27, thereby preventing marine particles from being adsorbed to the mesh filter 42. In this case, the internal space 27 is in contact with the supplied and drained artificial seawater via the mesh filter 42, so components of the artificial seawater are exchanged by diffusion.

[0051] [1.3 Configuration of Sensor] Figure 6 is a diagram showing an example of the sensor 3. The sensor 3 comprehensively represents sensors for measuring the seawater state of the artificial seawater in the tank 11 by physical, chemical, optical, biological and other methods.

[0052] As shown in Figure 6, the sensors 3 for physically measuring the state of the artificial seawater include a temperature sensor 61, a pressure sensor 62, a conductivity sensor 63, a flow meter 64, and a bioacoustic sensor 65. The temperature sensor 61 measures the temperature of the artificial seawater. The pressure sensor 62 measures the pressure of the artificial seawater. The conductivity sensor 63 measures the conductivity of the artificial seawater. The flow meter 64 measures the flow velocity of the artificial seawater. The bioacoustic sensor 65 measures the sounds emitted from organisms in the artificial seawater.

[0053] Sensors 3 for chemically measuring the state of artificial seawater include a dissolved oxygen sensor 66, a pH sensor 67, a carbon dioxide sensor 68, a nitrate sensor 69, an ammonium sensor 70, a salinity sensor 71, and an oxidation-reduction potential sensor 72. The dissolved oxygen sensor 66 measures the amount of oxygen dissolved in the artificial seawater. The pH sensor 67 measures the pH of the artificial seawater. The carbon dioxide sensor 68 measures the amount of carbon dioxide dissolved in the artificial seawater. The nitrate sensor 69 measures the amount of nitrate dissolved in the artificial seawater. The ammonium sensor 70 measures the amount of ammonium dissolved in the artificial seawater. The salinity sensor 71 measures the amount of salinity dissolved in the artificial seawater. The oxidation-reduction potential sensor 72 measures the oxidation-reduction potential of the artificial seawater.

[0054] Sensors 3 for optically measuring the seawater conditions of artificial seawater include a vision sensor 73, a multispectral camera 74, a camera 75, a particle size distribution sensor 76, a chlorophyll sensor 77, a light transmittance sensor 78, a CDOM (Colored Dissolved Organic Matter) sensor 79, a photosynthetically active radiation sensor 80, and a backscatter sensor 81.

[0055] The vision sensor 73 is a sensor called a DVS (Dynamic Vision Sensor) or EVS (Event-Based Vision Sensor). The vision sensor 73 is an asynchronous image sensor in which multiple pixels having photoelectric conversion elements are arranged in two dimensions, and a detection circuit for detecting address events in real time is provided for each pixel. An address event is an event that occurs in accordance with the amount of incident light for each address assigned to each of the multiple pixels arranged in two dimensions. For example, this could be the current value of the current based on the charge generated by the photoelectric conversion element, or the amount of change thereof, exceeding a certain threshold.

[0056] The vision sensor 73 detects the occurrence of an address event for each pixel by imaging the artificial seawater in the tank 11. If an address event is detected, it reads out the pixel signal as pixel data from the pixel where the address event occurred. In other words, the vision sensor 73 acquires pixel data asynchronously according to the amount of light incident on each of the multiple pixels arranged in two dimensions.

[0057] In the vision sensor 73, the pixel signal readout operation is performed for pixels where an address event has been detected. Therefore, it is possible to read out much faster than a synchronous image sensor, where the readout operation is performed for all pixels at a predetermined frame rate, and the amount of data read out per frame is also small.

[0058] Therefore, by using the vision sensor 73 in the artificial seawater generator 2, it becomes possible to detect moving particles contained in the artificial seawater more quickly. In addition, the vision sensor 73 can reduce the amount of data and also reduce power consumption.

[0059] The multispectral camera 74 measures the spectral information of the light emitted by the artificial seawater. By measuring the spectral information, the artificial seawater generator 2 can detect differences in composition from the reflected and transmitted light of ocean particles.

[0060] The camera 75 is, for example, a CCD (Charge Coupled Device) or CMOS (Complementary Metal-Oxide-Semiconductor) type image sensor, in which multiple pixels having photoelectric conversion elements are arranged in two dimensions. The camera 75 captures a predetermined imaging range at regular intervals according to the frame rate and generates image data. Therefore, the camera 75 can measure (image) particles contained in artificial seawater.

[0061] The particle size distribution sensor 76 measures the particle size distribution of particles in the artificial seawater. The chlorophyll sensor 77 measures the intensity of chlorophyll fluorescence emitted by phytoplankton during photosynthesis in the artificial seawater. The light transmittance sensor 78 measures the light transmittance of the artificial seawater. The CDOM sensor 79 measures the amount of colored dissolved organic matter in the artificial seawater. The photosynthetically active radiation sensor 80 measures the amount of radiation at wavelengths that plants can use for photosynthesis in the artificial seawater. The back scattering sensor 81 measures the size distribution and turbidity of particulate organic matter by measuring back scattered light.

[0062] The sensor 3 for biologically measuring the seawater conditions of artificial seawater includes a DNA sensor 82. The DNA sensor 82 measures the presence or absence or reaction amount of the target DNA in organic matter in the artificial seawater.

[0063] Other sensors 3 used to measure characteristics include an oil content sensor 83, a radiation sensor 84, and an acoustic sensor 85. The oil content sensor 83 measures the amount of oil in the artificial seawater. The radiation sensor 84 measures the amount of radiation in the artificial seawater. The acoustic sensor 85 measures the sound generated in the artificial seawater.

[0064] In the artificial seawater generator 2, one or more sensors from the sensors 3, from the temperature sensor 61 to the acoustic sensor 85, are used as appropriate, depending on the seawater condition of the artificial seawater that the user wants to detect.

[0065] Figure 7 shows the measurement range of the optical sensor. As shown in Figure 7, it is conceivable that the lighting device 4 irradiates a sheet-like light into the tank 11 from the side of the main body 21. The light irradiated from the lighting device 4 spreads in a sheet-like manner in the vertical and horizontal directions, but hardly spreads in the front-to-back direction.

[0066] In this case, since the main body 21 is formed of a transparent resin material in the circumferential direction, the light emitted from the lighting device 4 will always reach the inside of the tank 11, even when the tank 11 is rotating.

[0067] Furthermore, the optical sensor 3 is positioned so that its optical axis is perpendicular to the light emitted from the illumination device 4, i.e., in the front-to-back direction. This allows the artificial seawater generator 1 to measure a predetermined measurement range within the tank 11 that is illuminated by the sheet-like light emitted by the illumination device 4 using the optical sensor 3. Since the position of the sensor 3 is fixed, the measurement range is also fixed. This allows the artificial seawater generator 1 to measure the measurement range using, for example, a vision sensor 73 or a camera 75, and then use the control circuit 91 to detect the size, shape, number, and movement trajectory of particles (e.g., marine particles) present in that measurement range. Based on these detection results, the artificial seawater generator 1 can then accurately detect the size, shape, and number (density) of particles present in the tank 11 using the control circuit 91. Note that a known method can be used to detect the size, shape, number, and movement trajectory of particles from images captured by the vision sensor 73 or camera 75, so its explanation is omitted.

[0068] Furthermore, if the artificial seawater generator 2 is mounted on a mobile vehicle such as an exploration vessel, sensors 3 such as a GNSS (Global Navigation Satellite System) or a 6-axis accelerometer may be provided.

[0069] [1.4. Configuration of the Control Device] Figure 8 is a block diagram showing an example of the hardware configuration of the control device 5. As shown in the figure, the control device 5 is equipped with a control circuit 91. The control circuit 91 is composed of semiconductor circuits such as a CPU (Central Processing Unit) and executes various processes according to a program stored in the ROM 92 or a program loaded from the storage unit 98 into the RAM 93. In addition to the CPU, the control circuit 91 may also be configured to include a GPU (Graphics Processing Unit) for the execution of various image processing.

[0070] The RAM 93 also stores data necessary for the control circuit 91 to perform various processes. The control circuit 91, ROM 92, and RAM 93 are interconnected via the bus 102. An input / output interface (I / F) 94 is also connected to this bus 102.

[0071] An input unit 95, consisting of an operator or operating device, is connected to the input / output interface 94. For example, the input unit 95 can be various operators or operating devices such as a keyboard, mouse, keys, dial, touch panel, touchpad, or remote controller. User operations are detected by the input unit 95, and the signals corresponding to the input operations are interpreted by the control circuit 91.

[0072] Furthermore, a display unit 96, consisting of an LCD or organic EL panel, and an audio output unit 97, consisting of a speaker, are connected to the input / output interface 94, either as an integrated unit or as separate components. The display unit 96 is used for displaying various types of information and is composed of, for example, a display device provided on the casing of a computer device or a separate display device connected to a computer device.

[0073] The display unit 96 displays images for various image processing purposes, such as videos to be processed, on the display screen based on instructions from the control circuit 91. In particular, the display unit 96 displays various operation menus, icons, messages, etc., i.e., GUI (Graphical User Interface) based on instructions from the control circuit 91.

[0074] The input / output interface 94 may also be connected to a storage unit 98 consisting of a non-volatile memory device such as an SSD or HDD, or a communication unit 99 consisting of a modem or the like.

[0075] The communications unit 99 performs communication processing via transmission lines such as the Internet, and communicates with various devices via wired / wireless communication, bus communication, etc.

[0076] A drive 100 is connected to the input / output interface 94 as needed, and a removable recording medium 101 such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory is appropriately mounted there.

[0077] The drive 100 can read data (including computer programs, etc.) used for various processes from the removable recording medium 101. The read data is stored in the storage unit 98, or, if the read data is image data or audio data, the image or audio is output by the display unit 96 or the audio output unit 97. The computer program read from the removable recording medium 101 is installed in the storage unit 98 as needed.

[0078] Furthermore, the control device 5 is not limited to being composed of a single computer device as shown in Figure 8, but may be configured as a system of multiple computer devices. The multiple computer devices may be systematized via a LAN (Local Area Network), or they may be located in remote locations via a VPN (Virtual Private Network) using the Internet, etc. The multiple computer devices may include computer devices that function as a group of servers (cloud) available through cloud computing services.

[0079] [1.5. Functional Configuration of Control Circuit 91] Figure 9 is a block diagram showing the functional configuration of the control circuit 91. As shown in Figure 9, the control circuit 91 functions as an operation control unit 111, a measurement control unit 112, and a model generation unit 113.

[0080] The operation control unit 111 controls the operation of the artificial seawater generator 2, the lighting device 4, the water quality control device 6, and the pump 7 so that the artificial seawater in the tank 11 meets conditions predetermined by the user.

[0081] For example, the operation control unit 111 controls the amount of artificial seawater supplied to and drained from the tank 11 by controlling the operation of the pump 7.

[0082] Furthermore, the operation control unit 111 provides feedback control to the water quality control device 6 and the pump 7 based on the measurement results of the sensor 3, so that the state and composition of the artificial seawater supplied to the tank 11 reach preset target values.

[0083] Figure 10 illustrates an example of rotation control of the tank 11. The motion control unit 111 controls the rotation direction and rotation speed of the tank 11 by controlling the operation of the motor 54. For example, as shown in Figure 10, the motion control unit 111 rotates the tank 11 to cause the particles contained in the artificial seawater to form clumps, thereby generating ocean particles 121.

[0084] The ocean particles 121 generated in the tank 11 will fall due to their own weight and settle on the sides of the tank 11 if the tank 11 is not rotating. Therefore, the motion control unit 111 uses the motor 54 to rotate the tank 11 at a constant speed according to the settling speed of the ocean particles 121. As a result, the artificial seawater in the tank 11 rotates along with the rotation of the tank 11, making it possible to keep the ocean particles 121 floating in the artificial seawater without settling.

[0085] Furthermore, the motion control unit 111 may predict the movement trajectory of the ocean particles 121 based on measurement results from, for example, the vision sensor 73 or the camera 75, and perform feedback control to prevent the ocean particles 121 from settling.

[0086] Furthermore, the motion control unit 111 can also control the motor 54 to temporarily stop, reverse rotation, or change the speed of the tank 11. This makes it possible to rapidly change the artificial seawater in the tank 11, causing the ocean particles 121 to disintegrate or deform. In this way, the state and composition of the disintegration process of the ocean particles 121 can be measured by the optical sensor 3.

[0087] Furthermore, the operation control unit 111 may increase the rotation speed of the tank 11 when artificial seawater is being supplied to and drained into the tank 11 by the supply and drainage device 13, compared to when artificial seawater is not being supplied or drained. This makes it possible to agitate the artificial seawater supplied into the tank 11 at an earlier stage.

[0088] Furthermore, the operation control unit 111 may slow down the rotation speed of the tank 11 or stop the rotation of the tank 11 when artificial seawater is being supplied to and drained into the tank 11 by the supply and drainage device 13, compared to when artificial seawater is not being supplied to or drained. This makes it possible to reduce the breakdown or deformation of marine particles by minimizing the water flow generated by the supply and drainage of artificial seawater into and out of the tank 11.

[0089] Furthermore, the operation control unit 111 may reverse the supply and drainage of artificial seawater into the tank 11 by the supply and drainage device 13 when predetermined conditions are met, for example, at predetermined intervals. That is, when predetermined conditions are met, the operation control unit 111 releases artificial seawater into the tank 11 from the drainage hole 41. This makes it possible to return particles clogged in the mesh filter 42 back into the tank 11.

[0090] Furthermore, the operation control unit 111 can also adjust the brightness of the lighting device 4 or the sensitivity of the optical sensor 3 if it exceeds the measurement range of the optical sensor 3.

[0091] Furthermore, the operation control unit 111 may increase the rotation speed of the tank 11 when a predetermined substance is supplied to the tank 11 via the water supply and drainage device 13. The predetermined substance is, for example, feed for zooplankton. This makes it possible to distribute the predetermined substance throughout the tank 11 quickly.

[0092] The measurement control unit 112 has the sensor 3 measure the state of the artificial seawater to be measured and acquires the measurement results.

[0093] The model generation unit 113 uses the measurement results of the artificial seawater state measured by the sensor 3 as training data (teaching data), performs machine learning on the state and composition of the artificial seawater at that time, and generates a seawater state estimation model. The seawater state estimation model is, for example, a model that estimates what kind of ocean particles will be generated depending on the state and composition of the artificial seawater.

[0094] [1.6. Artificial Seawater Generation Process] Figure 11 is a flowchart showing the flow of the artificial seawater generation process. As shown in Figure 11, when the artificial seawater generation process is started, in step S1 the operation control unit 111 acquires measurement results from the sensor 3. In step S2 the operation control unit 111 stores the acquired measurement results in the storage unit 98. In step S3 the measurement control unit 112 controls the artificial seawater generator 2, lighting device 4, water quality control device 6, and pump 7 based on the measurement results acquired from the sensor 3.

[0095] In step S4, the measurement control unit 112 determines whether predetermined measurement termination conditions have been met. These conditions include the user inputting a termination command, the completion of measurement for a predetermined time, the ocean particles reaching a predetermined diameter or greater, and the number of ocean particles reaching a certain level or greater. If the predetermined measurement termination conditions have not been met (No in step S4), the control circuit 91 returns the process to step S1. On the other hand, if the predetermined measurement termination conditions have been met (Yes in step S4), in step S5, the measurement control unit 112 stores the data set of measurement results measured in step S1 as a single learning data in the storage unit 98 and terminates the artificial seawater generation process.

[0096] The artificial seawater generator 1 makes it possible to measure the state and composition of marine particles in various artificial seawater states and compositions by performing the artificial seawater generation process on artificial seawater with different states and compositions.

[0097] [1.7. Seawater State Estimation Model Generation Process] Figure 12 is a flowchart showing the flow of the seawater state estimation model generation process. As shown in Figure 12, when the seawater state estimation model generation process is started, in step S11 the model generation unit 113 determines whether there is training data (teaching data) in a range that has not been used for model generation so far. If there is no training data that has not been used for model generation (No in step S11), the model generation unit 113 terminates the seawater state estimation model generation process.

[0098] If there is training data that has not been used for model generation (Yes in step S11), in step S12 the model generation unit 113 reads the training data that has not been machine-learned from the storage unit 98. In step S13 the model generation unit 113 performs machine learning based on the training data that has not been machine-learned to generate a seawater state estimation model for estimating, for example, the state and composition of ocean particles, and terminates the seawater state estimation model generation process. As a result, the seawater state estimation model can measure the state and composition of ocean particles in various artificial seawater states and compositions. In addition to estimating the state and composition of ocean particles, the seawater state estimation model can also estimate various seawater states and compositions, as well as the state and composition of particles contained in seawater. That is, by using the seawater state estimation model, it is possible to estimate unknown seawater states based on known seawater states measured by sensors.

[0099] <2. Seawater Condition Estimation System> [2.1. Overall Configuration of the Seawater Condition Estimation System] Figure 13 shows the seawater condition estimation system 200 including the artificial seawater generator 1. Figure 14 shows an example of the use of the field environment measuring device 201. Note that the field environment measuring devices 201A, 201B, and 201C in Figure 14 are examples of the field environment measuring device 201. As shown in Figure 13, the seawater condition estimation system 200 comprises the artificial seawater generator 1 and one or more field environment measuring devices 201.

[0100] The control device 5 of the artificial seawater generator 1 can communicate with the field environment measuring device 201 via the communication unit 99. The control device 5 acquires measurement data obtained by the field environment measuring device 201 and transmits the generated seawater state estimation model to the field environment measuring device 201.

[0101] The field environmental measurement device 201 is a device attached to, for example, an ICT buoy or floating drone, a ship or UAV (Unmanned Aerial Vehicle), and is placed in the seawater to be measured. The field environmental measurement device 201 is used for a variety of purposes, including marine organism surveys, aquaculture water quality measurement, fishing ground selection surveys, microplastic measurement, marine development impact surveys, ship ballast water surveys, marine resource exploration, blue carbon measurement, and global warming surveys.

[0102] For example, as shown in Figure 14, the field environmental measurement device 201A is placed inside a fish farm and used for measuring the water quality of aquaculture. The field environmental measurement device 201B is placed in the deep sea and used for deep-sea biological surveys (marine biological surveys). The field environmental measurement device 201C is placed in the ocean and used for measuring microplastics.

[0103] Then, in the field environmental measurement device 201A, a seawater condition estimation model for measuring aquaculture water quality is executed. In the field environmental measurement device 201B, a seawater condition estimation model for deep-sea organism surveys is executed. In the field environmental measurement device 201C, a seawater condition estimation model for microplastic measurement is executed.

[0104] For example, the seawater condition estimation model performed by the field environmental measurement device 201A detects the presence or absence of harmful plankton, which are considered detrimental to aquaculture, and the number of harmful plankton, as shown by the circles in the figure. The seawater condition estimation model performed by the field environmental measurement device 201B detects the presence or absence of deep-sea organisms, which inhabit the deep sea, and the number of deep-sea organisms, as shown by the squares in the figure. The seawater condition estimation model performed by the field environmental measurement device 201C detects the presence or absence of microplastics floating in the sea, as well as the number, size, and optical characteristics of marine particles, and the number of microplastics, as shown by the triangles in the figure.

[0105] When the seawater state estimation model is executed in the field environment measurement device 201, if there are seawater states that cannot be estimated by the seawater state estimation model, the field environment measurement device 201 transmits the measurement data obtained by the sensor 214 (see Figure 15) to the artificial seawater generator 1. Seawater states that cannot be estimated by the seawater state estimation model are, for example, particles in an unknown state with measurement values ​​outside the range covered by the learning data of the seawater state estimation model.

[0106] In the artificial seawater generator 1, measurement data is acquired from the on-site environmental measurement device 201, and the seawater shown in the measurement data is reproduced. For example, the user generates artificial seawater that has the same state and composition as the seawater shown in the measurement data. The artificial seawater generator 1 then stores the artificial seawater generated with the state and composition of the seawater shown in the measurement data in the tank 11, reproducing the seawater where the on-site environmental measurement device 201 is installed. By reproducing the actual seawater where the on-site environmental measurement device 201 is installed, unknown particles (e.g., marine particles) that could not be estimated by the on-site environmental measurement device 201 are generated in the tank 11.

[0107] Subsequently, the artificial seawater generator 1 measures the reproduced artificial seawater using sensor 3. The control circuit 91 then performs machine learning based on the measurement results from sensor 3 to generate (update) a seawater state estimation model. The control circuit 91 then transmits the generated seawater state estimation model to the field environment measurement device 201.

[0108] As a result, the newly generated seawater state estimation model can estimate seawater conditions that could not be estimated by the previous seawater state estimation model, thereby improving the accuracy of seawater state estimation. Furthermore, when a new seawater state estimation model is transmitted from the artificial seawater generator 1, the field environment measurement device 201 can use that seawater state estimation model to improve the accuracy of seawater state estimation.

[0109] Furthermore, the artificial seawater generator 1 may generate seawater state estimation models for each application (purpose), such as marine organism surveys and aquaculture water quality measurement, as described above, or it may generate a common seawater state estimation model regardless of the application. Similarly, although the field environment measurement device 201 is designed to use seawater state estimation models for each application, it may also use a common seawater state estimation model regardless of the application.

[0110] [2.2. Configuration of the Field Environment Measurement Device 201] Figure 15 shows the configuration of the field environment measurement device 201. As shown in Figure 15, the field environment measurement device 201 includes a control circuit 211, a memory 212, a communication unit 213, and a sensor 214, which are connected via a bus 215.

[0111] The control circuit 211 is composed of semiconductor circuits such as a CPU and performs overall control of the field environment measuring device 201. In this embodiment, the control circuit 211 functions as a data acquisition unit 221 and an estimation unit 222. The control circuit 211 also performs data reading processing from the memory 212, processing to store data in the memory 212, and sending and receiving various data with the artificial seawater generating device 1 via the communication unit 213.

[0112] The memory 212 consists of RAM, ROM, flash memory, etc. The communication unit 213 performs wired or wireless data communication with the artificial seawater generator 1.

[0113] Sensor 214 comprehensively represents sensors for measuring seawater equipped with the field environmental measuring device 201 by physical, chemical, optical, biological, and other methods. Sensor 214 includes, as an example, a temperature sensor 231, a pressure sensor 232, a salinity sensor 233, a dissolved oxygen sensor 234, a chlorophyll sensor 235, a back-scattering sensor 236, a nutrient sensor 237, a pH sensor 238, a carbon dioxide sensor 239, an optical sensor 240, a particulate organic carbon sensor 241, a vision sensor 242, and a camera 243.

[0114] The temperature sensor 231 measures the temperature of seawater. The pressure sensor 232 measures the pressure of seawater. The salinity sensor 233 measures the amount of salt dissolved in seawater. The dissolved oxygen sensor 234 measures the amount of oxygen dissolved in seawater. The chlorophyll sensor 235 measures the intensity of chlorophyll fluorescence released by phytoplankton in seawater during photosynthesis. The back-scattering sensor 236 measures the scattering characteristics of particles in seawater and estimates the particle concentration and size distribution. The nutrient sensor 237 measures the concentration of nutrients such as nitrates and phosphates. The pH sensor 238 measures the pH of seawater. The carbon dioxide sensor 239 measures the amount of carbon dioxide dissolved in seawater. The optical sensor 240 measures the transmittance and scattering characteristics of light in seawater and estimates the transparency and color of seawater. The particle organic carbon sensor 241 measures the amount of organic carbon in seawater. The vision sensor 242 is an asynchronous image sensor in which multiple pixels having photoelectric conversion elements are arranged in two dimensions, and a detection circuit for detecting address events in real time is provided for each pixel. The camera 243 is a CCD or CMOS type image sensor that captures a predetermined imaging range and generates image data.

[0115] The temperature sensor 231 to the camera 243 described above are just one example of sensors 214 mounted on the field environment measuring device 201, and not all of them are necessarily provided on the field environment measuring device 201. Furthermore, sensors 214 may include sensors other than the temperature sensor 231 to the camera 243. Sensors 214 may have a configuration similar to, for example, sensor 3 of the artificial seawater generator 1.

[0116] [2.3. Seawater State Estimation Model Acquisition Process] Figure 16 is a flowchart showing the procedure for acquiring the seawater state estimation model. The control circuit 211 executes the seawater state estimation model acquisition process shown in Figure 16 by executing the seawater state estimation model acquisition process program stored in the memory 212.

[0117] In step S21, the control circuit 211 determines whether it is possible to communicate with the artificial seawater generator 1 via the communication unit 213. If it is possible to communicate with the artificial seawater generator 1 (Yes in step S21), in step S22, the control circuit 211 determines whether the seawater state estimation model stored in memory 212 is up-to-date. Here, the control circuit 211 determines that the seawater state estimation model is up-to-date if the version of the seawater state estimation model stored in memory 212 matches the version of the seawater state estimation model provided by the artificial seawater generator 1, and determines that it is not up-to-date if they do not match.

[0118] Then, if it is determined that the seawater state estimation model stored in memory 212 is not the latest (No in step S22), the control circuit 211 downloads the latest seawater state estimation model from the artificial seawater generator 1 and stores it in memory 212.

[0119] On the other hand, if communication with the artificial seawater generator 1 is not possible (No in step S21), or if it is determined that the seawater state estimation model stored in memory 212 is up-to-date (Yes in step S22), step S23 is skipped and the seawater state estimation model acquisition process is terminated.

[0120] [2.4. Measurement Operation Processing by Purpose] Figure 17 is a flowchart showing the procedure for measurement operation processing by purpose. In measurement operation processing by purpose, the target seawater condition is measured, and predetermined actions are performed if the target seawater condition is met. For example, in measurement operation processing by purpose, target particles for each purpose are measured, and actions are performed when target particles are detected.

[0121] As shown in Figure 17, when the purpose-specific measurement operation process is started, in step S31 the control circuit 211 executes a seawater state detection process to detect the seawater state.

[0122] In step S31, the data acquisition unit 221 acquires measurement data obtained by the sensor 214. Then, the estimation unit 222 detects particles present in the imaging range based on an image captured by, for example, the vision sensor 242. For example, the estimation unit 222 creates a frame data based on pixel data input within a predetermined period, and detects a group of pixels within a predetermined range in which motion is detected as particles within that frame data. Alternatively, particles may be detected based on an image captured by the camera 243, or based on the measurement results of another sensor 214.

[0123] In step S32, the estimation unit 222 determines whether a seawater state was detected in step S31. If it is determined that no seawater state was detected (No in step S32), the process returns to step S31. On the other hand, if it is determined that a seawater state was detected (Yes in step S32), the estimation unit 222 executes a particle estimation process to estimate the detected seawater state. Here, the estimation unit 222 estimates the detected seawater state by inputting the measurement data acquired by the data acquisition unit 221 into the seawater state estimation model.

[0124] In step S34, the estimation unit 222 determines whether the detected seawater state was estimated by the seawater state estimation model, that is, whether it is a known seawater state. If it is determined that the detected seawater state is not a known seawater state (No in step S34), that is, if it is a seawater state that exceeds the range used to generate the seawater state estimation model, in step S35, the estimation unit 222 saves the measurement data obtained by measurement by the sensor 214 to the memory 212 and transmits (uploads) it to the artificial seawater generator 1.

[0125] On the other hand, if the detected seawater condition is determined to be a known seawater condition (Yes in step S34), in step S36 the estimation unit 222 determines whether the detected seawater condition is a target seawater condition that has been set in advance for each purpose. If the detected seawater condition is determined to be a target seawater condition (Yes in step S36), in step S37 the operation control unit 223 executes an operation that has been set in advance for each purpose. For example, if harmful plankton is detected in the fish tank, the operation control unit 223 sprays chemicals onto the fish tank.

[0126] In step S38, the control circuit 211 determines whether the termination condition for ending the purpose-specific measurement operation process has been met. The control circuit 211 then repeats steps S31 to S38 until the termination condition for ending the purpose-specific measurement operation process is met. If the termination condition for ending the purpose-specific measurement operation process is met (Yes in step S38), the purpose-specific measurement operation process is terminated.

[0127] [2.5. Processing by the Artificial Seawater Generator] If the field environment measuring device 201 uploads measurement data in step S35 above, the control device 5 of the artificial seawater generator 1 acquires the measurement data and stores it in the storage unit 98.

[0128] Furthermore, as described above, the artificial seawater generator 1 reproduces the seawater indicated by the measurement data stored in the memory unit 98 within the tank 11, and measures are taken of the reproduced artificial seawater by the sensor 3. In addition, the control circuit 91 generates (updates) a seawater state estimation model by performing machine learning through the seawater state estimation model generation process shown in Figure 12.

[0129] This allows the newly generated seawater state estimation model to estimate seawater conditions that could not be estimated by previous seawater state estimation models, thereby improving the accuracy of seawater state estimation.

[0130] <3. Modifications> It should be noted that the embodiments are not limited to the specific examples described above, and a variety of other modifications and configurations are possible.

[0131] In the embodiment described above, the tank 11 is constructed by combining separate parts: the main body 21, the first bottom 22, and the second bottom 23. However, the tank 11 may also be constructed such that the main body 21, the first bottom 22, and the second bottom 23 are integrally formed.

[0132] Furthermore, the configuration of the water supply and drainage device 13 in the above-described embodiment is merely an example, and other configurations are also acceptable as long as artificial seawater can be supplied and drained while the tank 11 is rotating.

[0133] Furthermore, in the above-described embodiment, the field environment measuring device 201 transmits measurement data to the artificial seawater generating device 1, i.e., the control device 5, when it is unable to estimate the seawater state using the seawater state estimation model. However, the field environment measuring device 201 may transmit measurement data to the artificial seawater generating device 1 regardless of whether or not it has estimated the seawater state using the seawater state estimation model.

[0134] Furthermore, in the embodiment described above, the control device 5 of the artificial seawater generator 1 transmits the seawater state estimation model to the field environment measuring device 201. However, an information processing device different from the control device 5 may acquire the seawater state estimation model from the artificial seawater generator 1 and transmit it to the field environment measuring device 201. This information processing device may be configured in the same way as the control device 5.

[0135] <4. Summary> As described above, the seawater state estimation system 200 of the embodiment includes an information processing device, the information processing device includes one or more control circuits 91 and a storage medium for storing a program executed by the control circuits 91, the control circuits 91 generate a seawater state estimation model based on measurement results measured by the artificial seawater generator 1 which can observe the seawater stored in the tank 11, and transmit the generated seawater state estimation model to the field environment measuring device 201. The information processing device corresponds to the control device 5. Since the artificial seawater generator 1 can reproduce seawater with different states and compositions, it is possible to easily generate a seawater state estimation model for estimating the seawater state for various seawater states and compositions. Therefore, in the seawater state estimation system 200, by transmitting the seawater state estimation model generated by the artificial seawater generator 1 to the field environment measuring device 201, the accuracy of the field environment measuring device 201 in estimating the seawater state of the seawater where the field environment measuring device 201 is installed can be improved. Furthermore, the seawater condition estimation system 200 only requires transmitting the seawater condition estimation model from the artificial seawater generator 1 to the field environment measurement device 201. This reduces the amount of information to be communicated compared to the case where the measurement results from the field environment measurement device 201 are transmitted to the control device 5 and the control device 5 estimates the seawater condition.

[0136] The control circuit 91 acquires measurement data measured by the on-site environmental measurement device 201. As a result, the artificial seawater generator 1 can acquire measurement data for seawater that has not been reproduced in tank 11, and by reproducing seawater based on that measurement data and generating a seawater state estimation model, the accuracy of seawater state estimation can be improved.

[0137] After acquiring measurement data from the field environment measuring device 201, the control circuit 91 estimates the seawater state using a seawater state estimation model. If there is measurement data exceeding the range used to generate the seawater state estimation model, it transmits that measurement data to the artificial seawater generator 1. As a result, the artificial seawater generator 1 can generate a seawater state estimation model that can estimate the seawater state in seawater that cannot be estimated by the seawater state estimation model, by reproducing seawater. This allows the seawater state estimation system 200 to further improve the accuracy of seawater state estimation.

[0138] The control circuit 91 generates a seawater state estimation model based on the measurement results obtained by the artificial seawater generator 1, which uses seawater reproduced based on the measurement data. As a result, the field environment measuring device 201 can estimate the seawater state of the seawater in which the field environment measuring device 201 is installed, based on the generated seawater state estimation model.

[0139] The artificial seawater generator 1 is cylindrical in shape and rotatable in the circumferential direction. It includes a tank 11 for storing seawater and a water supply / drainage device 13 for supplying and draining seawater to and from the tank 11. This makes it possible to control the artificial seawater in the tank 11 to the same state as actual seawater, and to accurately reproduce the conditions of actual seawater.

[0140] The field environment measuring device 201 includes a sensor 214 for measuring the state of seawater, and an estimation unit 222 that estimates the state of seawater using a seawater state estimation model based on the measurement data obtained by the sensor 214. As a result, the field environment measuring device 201 can accurately estimate the state of seawater using the seawater state estimation model generated by the artificial seawater generator 1.

[0141] If the seawater state cannot be estimated by the seawater state estimation model, the estimation unit 222 transmits the measurement data obtained by the sensor 214 to the information processing device. As a result, the artificial seawater generator 1 can generate a seawater state estimation model that can estimate the seawater state in seawater that cannot be estimated by the seawater state estimation model by reproducing seawater. This allows the seawater state estimation system 200 to further improve the accuracy of seawater state estimation.

[0142] Multiple field environmental measurement devices 201 are provided, and these multiple field environmental measurement devices 201 detect different seawater conditions. The seawater condition estimation model is used in common across all multiple field environmental measurement devices 201. This reduces the development burden of seawater information estimation models by generating a common seawater information estimation model in the artificial seawater generator 1, even when detecting different seawater conditions.

[0143] The seawater state estimation method generates a seawater state estimation model based on the seawater state measured by the artificial seawater generator 1, which is capable of observing the seawater stored in the tank 11, and transmits the generated seawater state estimation model to the field environment measurement device. The field environment measurement device 201 generation method generates a seawater state estimation model based on the seawater state measured by the artificial seawater generator 1, which is capable of observing the seawater stored in the tank 11, and saves the generated seawater state estimation model to the storage medium of the field environment measurement device 201. Even with this method, the same effects as the seawater state estimation system 200 described above can be obtained.

[0144] The field environment measurement device 201 includes a sensor 214 for measuring seawater, and an estimation unit 222 that estimates the seawater state using a seawater state estimation model transmitted from the artificial seawater generator 1 based on the measurement data obtained by the sensor 214, and transmits the measurement data to an information processing device if the seawater state cannot be estimated. Even with such a field environment measurement device 201d, the same effects as the seawater state estimation system 200 described above can be obtained.

[0145] <5. The Technology> The technology can also be configured as follows: (1) A seawater state estimation system comprising an information processing device, the information processing device comprising one or more control circuits and a storage medium for storing a program executed by the control circuits, wherein the control circuit generates a seawater state estimation model based on the seawater state measured by an artificial seawater generator capable of observing seawater stored in a tank, and transmits the generated seawater state estimation model to a field environment measuring device. (2) The seawater state estimation system according to (1), wherein the control circuit acquires measurement data measured by the field environment measuring device. (3) The seawater state estimation system according to (2), wherein the control circuit, after acquiring the measurement data at the field environment measuring device, estimates the seawater state using the seawater state estimation model, and transmits the measurement data to the artificial seawater generator if there is measurement data exceeding the range used to generate the seawater state estimation model. (4) The seawater state estimation system according to (3), wherein the control circuit generates the seawater state estimation model based on the measurement results obtained by the artificial seawater generator using seawater reproduced based on the measurement data. (5) The seawater state estimation system according to any one of (1) to (4), wherein the artificial seawater generator comprises a tank formed in a cylindrical shape and rotatable in the circumferential direction for storing seawater, and a supply and drainage device for supplying and draining seawater to and from the tank. (6) The seawater state estimation system according to any one of (1) to (5), wherein the field environment measuring device comprises a sensor for measuring the state of seawater, and an estimation unit for estimating the state of seawater using the seawater state estimation model based on the measurement data obtained by the sensor. (7) The seawater state estimation system according to (6), wherein if the seawater state cannot be estimated by the seawater state estimation model, the estimation unit transmits the measurement data obtained by the sensor to the information processing device.(8) A seawater state estimation system according to any one of (1) to (7), wherein a plurality of field environmental measuring devices are provided, the plurality of field environmental measuring devices detect different seawater conditions, and the seawater state estimation model is used in common by the plurality of field environmental measuring devices. (9) A seawater state estimation method comprising generating a seawater state estimation model based on the seawater conditions measured by an artificial seawater generator capable of observing seawater stored in a tank, and transmitting the generated seawater state estimation model to a field environmental measuring device. (10) A method for generating a field environmental measuring device, comprising generating a seawater state estimation model based on the seawater conditions measured by an artificial seawater generator capable of observing seawater stored in a tank, and storing the generated seawater state estimation model in a storage medium of the field environmental measuring device. (11) A field environment measuring device comprising: a sensor for measuring seawater; and an estimation unit that estimates the state of seawater using a seawater state estimation model transmitted from an artificial seawater generator based on measurement data obtained by the sensor, and transmits the measurement data to an information processing device if the state of seawater cannot be estimated.

[0146] 1. Artificial seawater generator 2. Artificial seawater generator 3. Sensor 4. Lighting device 5. Control device 6. Water quality control device 11. Tank 12. Roller stand 13. Water supply and drainage device 200. Seawater condition estimation system 201. Field environment measurement device

Claims

1. A seawater state estimation system comprising an information processing device, the information processing device comprising one or more control circuits and a storage medium for storing a program executed by the control circuits, wherein the control circuit generates a seawater state estimation model based on the seawater state measured by an artificial seawater generator capable of observing seawater stored in a tank, and transmits the generated seawater state estimation model to a field environment measuring device.

2. The seawater state estimation system according to claim 1, wherein the control circuit acquires measurement data measured by the on-site environmental measurement device.

3. The seawater state estimation system according to claim 2, wherein the control circuit, after acquiring the measurement data in the field environment measuring device, estimates the seawater state using the seawater state estimation model, and transmits the measurement data to the artificial seawater generating device if the measurement data exceeds the range used to generate the seawater state estimation model.

4. The seawater state estimation system according to claim 3, wherein the control circuit generates the seawater state estimation model based on the measurement results measured by the artificial seawater generator using seawater reproduced based on the measurement data.

5. The seawater state estimation system according to claim 1, comprising: an artificial seawater generating device formed in a cylindrical shape and rotatable in the circumferential direction, a tank for storing seawater inside, and a supply and drainage device for supplying and draining seawater to and from the tank.

6. The seawater state estimation system according to claim 1, comprising: a sensor for measuring the state of seawater; and an estimation unit for estimating the state of seawater using the seawater state estimation model based on measurement data obtained by the sensor.

7. The seawater state estimation system according to claim 6, wherein, if the seawater state cannot be estimated by the seawater state estimation model, the estimation unit transmits the measurement data obtained by measurement by the sensor to the information processing device.

8. The seawater condition estimation system according to claim 1, wherein a plurality of the field environmental measurement devices are provided, the plurality of field environmental measurement devices detect different seawater conditions, and the seawater condition estimation model is used in common by the plurality of field environmental measurement devices.

9. A method for estimating seawater conditions, comprising generating a seawater condition estimation model based on the seawater condition measured by an artificial seawater generator capable of observing seawater stored in a tank, and transmitting the generated seawater condition estimation model to a field environmental measurement device.

10. A method for generating an on-site environmental measuring device, which generates a seawater state estimation model based on the seawater state measured by an artificial seawater generator capable of observing seawater stored in a tank, and stores the generated seawater state estimation model in the storage medium of the on-site environmental measuring device.

11. A field environment measuring device comprising: a sensor for measuring seawater; and an estimation unit that estimates the state of seawater using a seawater state estimation model transmitted from an artificial seawater generator based on measurement data obtained by the sensor, and transmits the measurement data to an information processing device if the state of seawater cannot be estimated.

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