AIOT system capable of performing appropriate management of breeding environment and support of decision-making in breed-specific data base farm

Abstract

To provide an Artificial Intelligence Internet Of Things (AIOT) system capable of performing appropriate management of a breeding environment and support of decision-making in a breed-specific data base farm.SOLUTION: An AIOT system 100 includes at least one smart buoy 111 that periodically collects and provides breeding environment data in a farm using at least one or more built-in sensors and functions as an edge server in an AIOT system; a main server 130 that provides, on the basis of the breeding environment data in the farm received by a smart buoy using artificial intelligence and meteorological and marine information data provided by a relevant agency, recommended environmental data for species bred in the farm and provides decision support required to build the recommended environment data and targeted advertising of necessary consumables; and a user terminal 120 that performs a customization operation related to the recommended environmental data and purchases the consumables using the targeted advertising.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to an environmental management system for aquaculture farms, and more particularly to an artificial intelligence of things (AIOT) system capable of proper rearing environment management and decision-making support for aquaculture farms based on species-specific data. [Background technology]

[0002] In order to achieve quantitative and environmentally friendly growth, the domestic aquaculture industry is in dire need of not only the development of aquaculture-specific technologies, but also the integration of IoT (Internet of Things) technology and the quaternary industry. Aquaculture management methods that rely on existing experience make it difficult to share and disseminate statistics and technology. To overcome this, there is a demand for a system that can digitalize, analyze, and utilize aquaculture-related data through cloud services and utilize mid- to long-term weather forecasts to enable preemptive responses. In addition, due to rising seawater temperatures caused by global warming, the types of fish that can be cultivated in domestic aquaculture facilities are changing, and there is a demand for a system that can automatically provide an appropriate breeding environment for various fish species. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Korean Patent Publication No. 10-2021-0083829 Summary of the Invention [Problem to be solved by the invention]

[0004] The object of the present invention is to provide an artificial intelligence Internet of Things (AIOT) system that can appropriately manage the rearing environment and support decision-making in aquaculture farms based on species-specific data. The object of the present invention is not limited to the above-mentioned objects, and other objects not mentioned will be clearly understood by those skilled in the art from the following description. [Means for solving the problem]

[0005] The artificial intelligence internet of things (AIOT) system of the present invention is capable of managing the appropriate rearing environment and supporting decision-making in aquaculture farms based on species-specific data. At least one smart buoy that periodically collects and provides rearing environment data of the aquaculture farm using at least one built-in sensor and functions as an edge server in the AIOT system; A main server that uses artificial intelligence to provide recommended environmental data for the breeds being reared in the farm based on the rearing environment data of the farm received from the smart buoy and meteorological and oceanographic information data provided by related institutions, and provides decision-making support necessary to build the recommended environmental data and targeted advertising of necessary consumables; A user terminal performs a customization operation on the recommended environmental data and purchases the consumable product using the targeted advertisement.

[0006] The rearing environment data of the aquaculture farm includes at least one of water temperature, salinity, amount of dissolved oxygen, pH, total amount of ammonia, chlorophyll a, nitrate, and hypoxic water mass.

[0007] The smart buoy is at least one sensor for collecting rearing environment data of the farm; A communication interface that enables communication with a 5G backbone network that connects the user terminal and the main server constituting the AIOT system; An edge server that performs edge computing to generate analysis data using the rearing environment data of the aquaculture farm and directly provides the analysis data to the user terminal; and The system includes a solar panel that generates its own power using sunlight to supply power to at least one of the sensor, the communication interface, and the edge server.

[0008] The smart buoy is an auxiliary battery for providing auxiliary power to at least one of the sensor, the communication interface, and the edge server; and The communication relay panel performs a communication relay function on a network connecting the user terminal and the main server. In addition, the sensor, the communication interface, the edge server, the battery and the communication relay panel are waterproofed and watertight.

[0009] In addition, the related organizations include at least one of the Japan Meteorological Agency, the Ministry of the Environment, and the Japan Coast Guard; The meteorological and marine information data provided by the relevant agencies includes information on weather, seawater, red tides, tide times, and tidal currents. The main server also performs data processing to unify the data structures of the meteorological and oceanographic information data provided by the related institutions and the rearing environment data of the aquaculture farm.

[0010] In addition, the decision-making required to construct the recommended environmental data uses machine learning artificial intelligence to sequentially provide the procedures required to construct the recommended environmental data at the aquaculture farm, and the recommended environmental data differs depending on the type of fish being raised at the aquaculture farm. In addition, the customization operation regarding the recommended environmental data includes an operation of setting an alarm notification range for providing an alarm to a user through a user terminal, and the alarm notification range is within a recommended range presented by the recommended environmental data.

[0011] In addition, the decision-making The response procedure includes a sequence of steps required to deal with the situation when abnormal water temperature or red tide occurs, and the response procedure is configured to be provided in the form of a web or application. Further details of the embodiments are included in the detailed description and the drawings. Effect of the Invention

[0012] According to the AIOT system of the present invention, which is capable of proper rearing environment management and decision-making support in aquaculture farms based on species-specific data, a more optimal rearing environment can be provided depending on the species of fish being reared at the aquaculture farm. In addition, the AIOT system of the present invention, which is capable of proper management of the rearing environment and decision-making support in aquaculture farms based on species-specific data, gives the smart buoy the functionality of an edge server with edge computing capabilities, creating a much faster and more stable network than existing IoT systems.

[0013] The AIOT system of the present invention, which is capable of proper rearing environment management and decision-making support for aquaculture farms based on species-specific data, maximizes user convenience by providing a sequential procedure that is useful for making decisions necessary for optimal management of the aquaculture farm. However, the effects of the present invention are not limited to those mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description. [Brief description of the drawings]

[0014] [Figure 1] FIG. 1 is a diagram showing a schematic configuration diagram of an artificial intelligence internet of things (AIOT) system that enables appropriate rearing environment management and decision-making support in aquaculture farms based on species-specific data of the present invention. [Diagram 2] FIG. 1 is a perspective view of a smart buoy of the present invention. [Diagram 3] FIG. 2 shows a schematic diagram of the components contained within the smart buoy of the present invention. [Figure 4]FIG. 11 is a diagram showing recommended environment data according to fish species provided by the main server of the present invention. [Diagram 5] 11A to 11C are diagrams illustrating an example of a customization operation regarding recommended environmental data executed in a user terminal of the [Figure 6] FIG. 1 illustrates an exemplary computing device that may implement various devices and / or systems of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] The advantages and features of the present invention, and the methods for achieving the same, will become apparent from the following detailed description of the embodiments in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, and may be embodied in various different forms, and the embodiments are provided to fully disclose the present invention and fully inform those skilled in the art of the scope of the invention, and the present invention is only defined by the scope of the claims. The same reference numerals refer to the same elements throughout the specification.

[0016] The embodiments described in this specification are described with reference to cross-sectional views and / or plan views of ideal exemplary views of the present invention. The thicknesses of the components in the drawings are exaggerated for the effective explanation of the technical contents. Therefore, the components illustrated in the drawings have schematic attributes, and the shapes of the components illustrated in the drawings are intended to illustrate a specific form of the components, and are not intended to limit the scope of the invention. In various embodiments of this specification, terms such as first, second, and third are used to describe various components, but these components should not be limited by such terms. These terms are merely used to distinguish a certain component from other components. The embodiments described and illustrated herein also include their complementary embodiments.

[0017] The terms used in the present specification are for the purpose of describing the embodiments and are not intended to limit the present invention. In the present specification, the singular form includes the plural form unless otherwise specified in the phrase. The terms "comprises" and / or "comprising" used in the specification do not exclude the presence or addition of one or more other components, steps, operations and / or elements to the components, steps, operations and / or elements mentioned. Unless otherwise defined, all terms (including technical and scientific terms) used in this specification are used as meanings commonly understood by those having ordinary knowledge in the technical field to which the present invention belongs. Furthermore, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless specifically defined.

[0018] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The concept of the present invention and embodiments thereof will be described in detail below with reference to the accompanying drawings. FIG. 1 is a diagram showing a schematic configuration diagram of an artificial intelligence internet of things (AIOT) system capable of proper rearing environment management and decision-making support in aquaculture farms based on species-specific data of the present invention. The term "artificial intelligence of things (AIOT)" used in this invention means "the technologies, capabilities, and industries required to collect data, develop artificial intelligence, and install or integrate it into things and utilize it in order to solve a problem or achieve a goal." Things here refer to "physical things, digital things, and biological entities collectively."

[0019] AIOT stands for "AI Convergence Technology" and is an abbreviation of "Artificial Intelligence of Things" and "AI of Things." The world is changing from the IT era of the 3rd Industrial Revolution to the AIoT era of the 4th Industrial Revolution, and this change is a qualitative change based on convergence. AIOT is a fusion technology created from the process of expanding and fusing connectivity and intelligence based on information technology. AIOT is a core technology representing the 4th Industrial Revolution, and is characterized by the hyperconnectivity, superintelligence, and hyperconvergence of the 4th Industrial Revolution.

[0020] The term "edge" as used in this invention refers to edge servers, user computers or IoT devices. It is where data processing and data are distributed away from the core of the data center to move data and decision-making closer to users and devices to provide a better user experience. Edge computing means performing computing at or near the physical location of the user or data source. Processing computing services closer to the user's terminal device provides users with faster, more stable services and the benefits of flexible hybrid cloud computing. Edge computing is one way of distributing data computation and processing using a common resource pool across multiple locations.

[0021] Edge is a strategy to extend the consistent environment from core data centers to physical locations closer to users and data. Edge computing means faster, more stable, and less expensive services are possible. Users get a faster and more consistent experience through edge computing. Edge computing is the process of bringing information storage and computing power closer to the devices that generate that information and the users that consume it. Traditionally, applications have transmitted data from sensors and smart devices such as smartphones to a central data center for processing. However, the unprecedented complexity and scale of data has outpaced network performance. Edge computing systems significantly improve application performance by shifting processing capabilities closer to users and devices, providing faster real-time insights while reducing bandwidth requirements.

[0022] The artificial intelligence internet of things (AIOT) system (100) of the present invention, which is capable of proper rearing environment management and decision-making support in aquaculture farms based on species-specific data, includes at least one smart buoy (111), a user terminal (120), and a main server (130). At least one smart buoy (111) periodically collects rearing environment data of the aquaculture farm (110) using at least one built-in sensor and provides the data to a user terminal (120) and / or a main server (130). The rearing environment data of the aquaculture facility includes at least one of water temperature, salinity, dissolved oxygen, pH, total ammonia, chlorophyll a, nitrate, and hypoxic water mass.

[0023] The amount of oxygen dissolved in seawater is called dissolved oxygen, and a water mass with a low concentration of dissolved oxygen is called a hypoxic water mass. There is still some debate as to the definition of the oxygen concentration of hypoxic water masses, but the concentration of dissolved oxygen in a water mass causes chemical and biological reactions, and based on this, when the dissolved oxygen concentration in seawater falls below 2.5mL / L, the benthic animals living in the seabed sediments die, so the water mass is called hypoxic when it is below that level, and when it is below 0.025mL / L, a reduction reaction occurs, so the water mass is called anoxic when it is below that level.

[0024] In FIG. 1, four smart buoys (111) are shown to be placed at four square corners of the aquaculture farm (110), but this is just an example. The AIOT system (100) of the present invention can increase the number of smart buoys (111) as needed. Unlike conventional aquaculture farm management systems, the smart buoy (111) of the present invention functions as an edge server in the AIOT system (100). The AIOT system of the present invention, which is capable of proper management of the rearing environment and decision-making support in aquaculture farms based on species-specific data, creates a much faster and more stable network than existing IoT systems by endowing the smart buoy with the functionality of an edge server with edge computing capabilities.

[0025] Because the smart buoy (111) has the edge computing function of an edge server, the AIOT system (100) of the present invention proactively responds to communication interruptions and disruptions. The smart buoy (111) performs the function of an edge server, so that even if communication on the backbone network is interrupted, the connection with the user terminal can be maintained, making it possible to configure a more robust network. The main server (130) of the present invention uses artificial intelligence to provide recommended environmental data for the varieties being raised in the aquaculture farm (110) based on the rearing environment data of the aquaculture farm (110) received from the smart buoy (111) and meteorological and oceanographic information data provided by related institutions, and provides decision-making support necessary for constructing the recommended environmental data and targeted advertisement of necessary consumables.

[0026] As shown in FIG. 1, the main server (130) includes an AI API (Application Programming Interface) (131) and a DB server (132). The main server (130) utilizes artificial intelligence to verify and predict the stability of the farm operations. The user terminal (120) is configured to perform customization operations regarding the recommended environmental data of the fish farm (110) and to purchase consumables using targeted advertising. Unlike conventional fish farm management systems, the AIOT system (100) of the present invention considers not only the environmental data of the fish farm (110) but also the addition of meteorological and oceanographic information data provided by relevant institutions to derive recommended environmental data for each individual fish species. The meteorological and oceanographic information data includes information on weather, seawater, red tide, tide times, and tidal currents.

[0027] The relevant organizations in the present invention include at least one of the Japan Meteorological Agency, the Ministry of the Environment, and the Japan Coast Guard. The main server (130) of the present invention performs data processing to unify the data structures of meteorological and oceanographic information data provided by related organizations and the rearing environment data of the aquaculture farm. Examples of data processing include unifying units and rounding off decimal places. The decision making required to construct the recommended environmental data supported by the main server (130) of the present invention sequentially provides the procedures required to construct the recommended environmental data for the aquaculture farm using machine learning of artificial intelligence.

[0028] The term "decision making" as used in the present invention means an action that presents the detailed steps required to build the recommended environment data. An example of decision making supported by the main server (130) of the present invention is to notify the user to take steps to increase the temperature of the ocean water if a drop in the temperature is predicted. Another example of decision making supported by the main server (130) of the present invention refers to the action of notifying the taking of steps to spray salt water to increase salinity when a drop in salinity is predicted. Another example of decision making supported by the main server (130) of the present invention refers to the action of notifying the farm to take steps to reduce feeding in order to lower the pH if an increase in pH is predicted. Another example of decision making supported by the main server (130) of the present invention refers to the action of informing the user to take steps to spray clean salt water to reduce acidity when an increase in acidity is predicted. The recommended environmental data supported by the main server (130) of the present invention varies depending on the species of fish being raised in the fish farm (110). Specific examples of recommended environmental data according to fish species are shown in Figure 4.

[0029] An example of decision-making supported by the main server (130) of the present invention includes a response procedure that sequentially presents the countermeasures required to deal with the situation when abnormal water temperature or red tide phenomenon occurs, and the response procedure is configured to be provided in the form of a web (WEB) or an application (APP). Another example of decision making supported by the main server (130) of the present invention is providing fishermen with digitalized procedures for dealing with risk factors. That is, it assists in making decisions about how to respond in any given situation. For example, the main server (130) of the present invention may announce a decision such as "A high water temperature warning is expected from 12:00 p.m. Please prepare ice drops and oxygen supplies." When the main server (130) provides the decision-making content that ice should be dropped and an oxygen supply should be prepared, the main server (130) displays targeted advertisements of ice and oxygen cylinder providers on the user terminal (120).

[0030] The DB server (132) constituting the main server (130) of the present invention provides data including the loaded marine environment information to the user terminal (120) in chronological order via the WEB / APP. The data loaded into the DB server (132) includes rearing environment data received from the smart buoy (111) and meteorological and oceanographic information data provided by relevant agencies, as mentioned above. FIG. 2 is a diagram showing a perspective view of a smart buoy according to one embodiment of the present invention. 2 shows a smart buoy (200) of the present invention. The smart buoy (200) of the present invention has waterproof and watertight treatment for the built-in components. The smart buoy (200) is provided on its upper part with a transparent cover (210), which provides waterproofing and watertightness to the lower hemisphere.

[0031] The smart buoy (200) of the present invention includes a solar panel (220) for self-power generation using sunlight. Specific components included in the smart buoy (200) of the present invention will be discussed in detail with reference to FIG. The smart buoy (200) of the present invention includes a chain (230) that can be connected to an anchor (240) in the ocean waters. FIG. 3 shows a schematic diagram of components contained within a smart buoy according to one embodiment of the present invention. The smart buoy (300) of the present invention includes a sensor (310), a communication interface (330), an edge server (320) and a solar panel (340). The smart buoy (300) of the present invention further includes an additional communication relay panel (350) and an auxiliary battery (360). The sensors (310) mounted on the smart buoy (300) can be various types of marine environment water quality measurement sensors.

[0032] The sensor (310) can be composed of at least one or more sensors and collects rearing environment data of the aquaculture farm. For example, marine environment water quality measuring sensors include a pH (hydrogen exponent) measuring sensor, a DO (dissolved oxygen) measuring sensor, a salinity (sodium) measuring sensor, a temperature measuring sensor, a turbidity measuring sensor, an ammonia measuring sensor, a nitrite measuring sensor, and a nitrate measuring sensor. The edge server (320) performs edge computing to generate analytical data using the rearing environment data of the aquaculture farm, and provides the analytical data directly to a user terminal. The smart buoy (300) of the present invention is equipped with an edge server (320) function, and therefore, by linking the RTOS (real-time operating system) with cloud solutions, it is possible to remotely adjust the frequency of environmental indicator measurements (measurement time), remotely reboot, request data retransmission, and perform FOTA (remote firmware update).

[0033] The edge server (320) of the smart buoy (300) of the present invention can retransmit previously collected data (missing information data) at a later time, and when a measurement error occurs, it can interpolate and transmit existing data, or provide information on neighboring smart buoy devices as reference information. The smart buoy (300) of the present invention is equipped with an edge server (320) function, and is configured to enable remote control by changing settings of a PLC (Programmable Logic Controller) and an RTU (Remote Terminal Unit), etc., without having to visit the aquaculture site in person. A PLC (Programmable Logic Controller) is a programmable logic controller that has digital inputs, digital outputs, analog inputs, and analog outputs connected to it. A PLC communicates using an internal communication protocol.

[0034] RTU (Remote Terminal Unit) is a type of PLC with a compact size. RTUs monitor and control processes from remote locations. The smart buoy (300) of the present invention supports the MODBUS protocol, making it possible to simultaneously install and operate various sensors, and utilizes MQTT (Message Queuing Telemetry Transport). MODBUS is a serial communication protocol and standard for data exchange and communication information between PLC systems. MQTT (Message Queuing Telemetry Transport) is an ISO standard (ISO / IEC PRF 20922) publish-subscribe based messaging protocol that runs on top of the TCP / IP protocol.

[0035] The smart buoy (300) of the present invention provides information about its installation position on the sea by acquiring position information based on a Global Navigation Satellite System (GNSS) solution and a communication network. The smart buoy (300) of the present invention can determine the consistency of data by transmitting data in ASKI code, HEX code, etc., thereby reducing the amount of data communication packets. The smart buoy (300) of the present invention supports solutions such as LTE CATM1 and NB-IOT, enabling individual communication for each buoy. In areas where combined aquaculture farms or unit installations are common using the smart buoy (300) of the present invention, the data is transmitted to an edge server (320) that performs internal processing and processing using a LoRa network or an internal Wi-Fi network, and the edge server (320) is configured to automatically transmit data to the AWS cloud through a single communication network.

[0036] The smart buoy (300) of the present invention can internally process information from multiple smart buoys (300) through edge computing functions, and can automatically list up databases and develop APIs for cloud collaboration. The communication interface (330) enables communication with a 5G backbone network that connects the user terminal (120) and the main server (130) constituting the AIOT system (100) of the present invention. The solar panel (340) generates its own power using sunlight to supply power to at least one of the sensor (310), the communication interface (330), and the edge server (320).

[0037] The smart buoy (300) of the present invention further includes an auxiliary battery (360) and a communication relay panel (350). The auxiliary battery (360) is an iron phosphate battery that supplies auxiliary power to the sensor (310), the communication interface (330) and the edge server (320). The communication relay panel (350) performs a communication relay function on the network connecting the user terminal (120) and the main server (130).

[0038] FIG. 4 is a diagram showing recommended environment data according to fish species provided by the main server of the present invention. FIG. 4 shows the recommended environment data for each fish species provided by the main server (130). As mentioned above, the main server (130) of the present invention uses artificial intelligence to provide recommended environmental data for the varieties being raised in the aquaculture farm (110) based on the rearing environment data of the aquaculture farm (110) received from the smart buoy (111) and meteorological and oceanographic information data provided by related institutions. For example, the relevant agencies may include the Japan Meteorological Agency, the Ministry of the Environment, and the Japan Coast Guard, and the meteorological and marine information data provided by the relevant agencies includes information on weather, seawater, red tides, tide times, and tidal currents.

[0039] As shown in FIG. 4, for example, in the case of light fish / flounder (410), the recommended environmental data is as follows: Temperature: 17.5~24℃, Salt content: 27-36 parts per million, pH: 8.1-7.5, Dissolved oxygen: 4.0-9.6mg / L, Ammonia nitrogen concentration: 0.1-0.4 mg / L, As can be seen from FIG. 4, the recommended environmental data varies depending on the species of fish being raised in the fish farm.

[0040] FIG. 5 is a diagram showing an example of a customization operation related to recommended environmental data executed on the user terminal of the present invention. For example, the customization operation refers to an operation of setting an alarm notification range (maximum value: 510, minimum value: 520) for providing an alarm to a user through a user terminal. The alarm notification range can be set differently depending on the user's selection, and in the example shown in FIG. 5, it is within the recommended range (maximum value: 530, minimum value: 540) presented by the recommended environment data. FIG. 5 additionally shows the average setting values ​​(maximum value: 550, minimum value: 560) of users by type.

[0041] 6 is a diagram illustrating an example computing device that may implement an apparatus and / or system according to various embodiments of the present disclosure. With reference to FIG. 6, an example computing device (600) that may implement an apparatus according to some embodiments of the present disclosure is described in more detail. The computing device (600) includes one or more processors (610), a bus (650), a communication interface (670), a memory (630) for loading a computer program (691) to be executed by the processor (610), and a storage (690) for storing the computer program (691). However, only components relevant to the embodiment of the present disclosure are shown in FIG. 6.

[0042] Therefore, a person of ordinary skill in the art to which the present disclosure pertains will understand that other general-purpose components may be included in addition to the components shown in FIG. The processor (610) controls the overall operation of each component of the computing device (600). The processor (610) may include a central processing unit (CPU), a micro processor unit (MPU), a micro controller unit (MCU), a graphic processing unit (GPU), or any other type of processor (610) known in the art of the present disclosure. The processor (610) also executes operations related to at least one application or program for executing the method of the present disclosure. The computing device (600) includes one or more processors (610). The computing device (600) refers to artificial intelligence (AI).

[0043] The memory (630) stores various data, instructions and / or information. The memory (630) loads one or more programs (691) from the storage (690) to execute a method according to an embodiment of the present disclosure. The memory (630) may be implemented with a volatile memory such as a RAM, although the technical scope of the present disclosure is not limited thereto. The bus 650 provides a communication function between components of the computing device 600. The bus 650 may be implemented as various types of buses, such as an address bus, a data bus, and a control bus. The communication interface 670 supports wired or wireless Internet communications for the computing device 600. The communication interface 670 may also support various communication methods other than Internet communications. To this end, the communication interface 670 may include a communication module known in the art of the present disclosure. According to some embodiments, the communications interface (670) may be omitted.

[0044] The storage (690) non-temporarily stores one or more programs (691) and various data. The storage (690) may include a non-volatile memory such as a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, or any other type of computer readable recording medium known in the art to which the present disclosure pertains. The computer program (691) includes one or more instructions that, when loaded into the memory (630), cause the processor (610) to perform the method / operation according to various embodiments of the present disclosure. That is, the processor (610) executes the one or more instructions to perform the method / operation according to various embodiments of the present disclosure.

[0045] Although the present invention has been shown and described above, the present invention is not limited to the specific embodiments described above, and it goes without saying that various modifications can be made by those having ordinary skill in the art to which the invention pertains without departing from the gist of the present invention as claimed in the claims, and such modifications should not be understood separately from the technical ideas and perspectives of the present invention. [Explanation of symbols]

[0046] 100: AIOT system 110: Fish farm 111, 200, 300: Smart Buoy 120: User terminal 130: Main server 131: AI API 132:DB server 210: Transparent cover 220: Solar panels 230: Chain 240: Anchor 310: Sensor 320: Edge server 330: Communication interface 340: Solar panels 350: Communication relay panel 360: Auxiliary battery 600: Computing equipment 610: Processor 630: Memory - 670: Communication interface 690: Storage 691: Computer Programs

Claims

1. An artificial intelligence of things (AIOT) system that can properly manage the rearing environment and support decision-making in aquaculture farms based on species-specific data. At least one smart buoy that periodically collects and provides rearing environment data of the aquaculture farm using at least one built-in sensor and functions as an edge server in the AIOT system; A main server that uses artificial intelligence to provide recommended environmental data for the breeds being reared in the farm based on the rearing environment data of the farm received from the smart buoy and meteorological and oceanographic information data provided by related institutions, and provides decision-making support necessary to build the recommended environmental data and targeted advertising of necessary consumables; An AIOT system capable of proper rearing environment management and decision-making support for aquaculture farms based on species-specific data, characterized in that it includes a user terminal that performs customization operations regarding the recommended environmental data and purchases the consumables using the targeted advertisements.

2. The AIOT system capable of proper rearing environment management and decision-making support for aquaculture farms based on species-specific data as described in claim 1, characterized in that the rearing environment data of the aquaculture farm includes at least one of water temperature, salinity, dissolved oxygen, pH, total ammonia, chlorophyll a, nitrates, and hypoxic water masses.

3. The smart buoy is at least one sensor for collecting environmental data of the farm; A communication interface that enables communication with a 5G backbone network that connects the user terminal and the main server constituting the AIOT system; An edge server that performs edge computing to generate analysis data using the rearing environment data of the aquaculture farm and directly provides the analysis data to the user terminal; The AIOT system capable of proper rearing environment management and decision-making support in a breeding farm based on species-specific data as described in claim 2, characterized in that it includes a solar panel that generates its own power using sunlight to supply power to at least one of the sensor, the communication interface, and the edge server.

4. The smart buoy is an auxiliary battery that provides auxiliary power to at least one of the sensor, the communication interface, and the edge server; and The AIOT system capable of proper rearing environment management and decision-making support of aquaculture farms based on species-specific data as described in claim 3, characterized in that it includes a communication relay panel that performs a communication relay function on a network connecting the user terminal and the main server.

5. The AIOT system capable of proper rearing environment management and decision-making support in aquaculture farms based on species-specific data as described in claim 4, characterized in that the sensor, the communication interface, the edge server, the battery and the communication relay panel are waterproofed and watertight.

6. The relevant organizations include at least one of the Japan Meteorological Agency, the Ministry of the Environment, and the Japan Coast Guard; The AIOT system capable of proper rearing environment management and decision-making support for aquaculture farms based on species-specific data as described in claim 1, characterized in that the meteorological and marine information data provided by the related institutions includes information on meteorology, seawater, red tides, tides, and currents.

7. The AIOT system capable of proper rearing environment management and decision-making support of aquaculture farms based on species-specific data as described in claim 6, characterized in that the main server performs data processing to unify the data structures of the meteorological and oceanographic information data provided by the related institutions and the rearing environment data of the aquaculture farm.

8. The AIOT system capable of proper rearing environment management and decision-making support for aquaculture farms based on species-specific data, as described in claim 7, characterized in that the decision-making required to construct the recommended environmental data is performed by sequentially providing the procedures required to construct the recommended environmental data for the aquaculture farm using machine learning of artificial intelligence, and the recommended environmental data differs depending on the species of fish being raised at the aquaculture farm.

9. The AIOT system capable of proper rearing environment management and decision-making support for aquaculture farms based on species-specific data, as described in claim 1, characterized in that the customization operation regarding the recommended environmental data includes an operation of setting an alarm notification range for providing an alarm to a user through a user terminal, and the alarm notification range is within a recommended range presented by the recommended environmental data.

10. The decision-making step may include: The AIOT system capable of proper rearing environment management and decision-making support for aquaculture farms based on species-specific data as described in claim 8, characterized in that it includes a response procedure that sequentially presents the countermeasures required to deal with the situation when abnormal water temperature or red tide phenomenon occurs, and the response procedure is configured to be provided in the form of a web or application.

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