KR102400496B1 - Smart farm, smart farm management method and apparatus - Google Patents

Abstract

A smart farm, and a management method and system thereof are disclosed. A smart farm management method according to an embodiment of the present disclosure includes the steps of: sensing the environment of a fish farming unit that supplies a water tank including excrement or tank remnants from a fish decomposed by microorganisms to a plant cultivation unit; A lighting unit that is provided on the upper side of the aquaculture unit and provides a light source to the plant cultivation unit, the step of sensing the plant cultivation environment of the plant cultivation unit, where the water supplied from the fish farming unit supplies water purified by the plants to the fish farming unit; It may include the step of sensing the lighting information of, and based on at least one of the tank environment, plant cultivation environment, and lighting information, controlling the environment of the fish farming unit and the plant cultivation unit to be maintained as a set condition.

Description

Smart farm, its management method and device

The present disclosure relates to a smart farm capable of remotely and automatically managing a growing environment in an optimal state based on an aquaponics plant cultivation technique, and a management method and apparatus thereof.

Smart farm refers to a farm that optimally controls and manages the growing environment without time and space restrictions by using automated facilities and information and communication technology for agriculture. If the environment is perfectly implemented, smart farms can be expected to improve productivity, efficiency, and quality throughout the entire process of agricultural production, distribution and consumption. It is an area that is being actively researched.

Also, in recent years, as interest in the environment and organic farming increases, there are more cases of growing vegetables at home. Accordingly, the smart farm is not only used for crop production, but is also applied for plant cultivation in a rather narrow indoor space, such as at home.

On the other hand, aquaponics is a production system that combines aquaculture and hydroponic culture among agricultural methods. Plants absorb various inorganic substances generated in breeding water made during aquaculture as growth nutrients. It is an organic production method based on the circulation of water in the ecosystem that can continuously purify breeding water and grow plants while continuously reusing breeding water while simultaneously carrying out aquaculture and crop cultivation.

Among various eco-friendly agricultural technologies, aquaponics is the most representative eco-friendly circular farming method that combines agriculture and technology. It is a sustainable and eco-friendly farming method with the keywords 'circulation' and 'regeneration', which are important values of future industries.

Therefore, it is expected that agricultural technology combining smart farm and aquaponics will be further developed in the future, and there is a need to be developed so that it can be easily applied at home.

The above-mentioned background art is technical information that the inventor possessed for the derivation of the present invention or acquired in the process of derivation of the present invention, and cannot necessarily be said to be a known technique disclosed to the general public prior to the filing of the present invention.

Prior Art 1: Korean Patent Publication No. 10-2021-0128583 (published on Oct. 27, 2021) Prior art 2: Korean Patent Publication No. 10-2320976 (Registered on Oct. 28, 2021))

An object of an embodiment of the present disclosure is to remotely and automatically manage a growing environment in an optimal state based on an aquaponics plant cultivation technique.

One object of the embodiment of the present disclosure is to make it possible to easily grow plants even in a narrow space such as a veranda of an apartment.

One object of the embodiment of the present disclosure is to provide optimal conditions for plant growth through illumination of a wavelength suitable for plant growth and internal temperature control.

One task of the embodiment of the present disclosure is to help the learning effect for children's rural experience by allowing the process of plant growth to be observed.

An object of the embodiment of the present disclosure is to apply Information and Communications Technology (ICT) technology to household products to manage plant cultivation conditions anytime, anywhere.

One task of the embodiment of the present disclosure is to install a sensor that can understand the plant cultivation state to enable automatic management in an optimal state, and to link with an application to be utilized as an Internet of Things (IoT) product. there is.

An object of the embodiments of the present disclosure is to enable customized management corresponding to the growing environment and individual users using artificial intelligence and/or machine learning algorithms.

The object of the embodiment of the present disclosure is not limited to the above-mentioned tasks, and other objects and advantages of the present invention not mentioned may be understood by the following description, and will be more clearly understood by the embodiment of the present invention will be. It will also be appreciated that the objects and advantages of the present invention may be realized by means of the instrumentalities and combinations thereof indicated in the claims.

The smart farm management method according to an embodiment of the present disclosure may include the step of remotely and automatically managing a growing environment in an optimal state based on an aquaponics plant cultivation technique.

Specifically, the smart farm management method according to an embodiment of the present disclosure includes a water tank in which fish can inhabit, and water in a water tank including excrement or tank remnants decomposed by microorganisms from the fish plant cultivation part A step of sensing the tank environment of the fish culture unit supplied to The step of sensing the plant cultivation environment of the plant cultivation unit that supplies the water purified by the fish farming unit to the fish farming unit, and the lighting information of the lighting unit provided to be movable up and down on the upper side of the plant cultivation unit to provide a light source to the plant cultivation unit Sensing, based on at least one of the fish culture part's water tank environment, the plant growing environment of the plant growing part, and the lighting information of the lighting part, controlling the environment of the fish farming part and the plant growing part to be maintained as a set condition. can

In addition, the controlling step includes a first circulation line having a pump for transferring water from the fish farming unit to the plant cultivation unit and a second circulation having an on/off valve for controlling the water supply from the plant cultivation unit to the fish farming unit It may include driving a pump and controlling an opening/closing valve of a water circulation unit to circulate water through the line, or adjusting at least one of a lighting angle, height, brightness, and color of the lighting unit.

Through the smart farm management method according to an embodiment of the present disclosure, by grafting ICT technology to household products to manage the plant cultivation status anytime, anywhere, to enable optimal plant cultivation based on the aquaponics technique This can improve performance and usability.

In addition to this, another method for implementing the present invention, another system, and a computer-readable recording medium storing a computer program for executing the method may be further provided.

Other aspects, features and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to an embodiment of the present disclosure, by remotely and automatically managing plant cultivation based on the aquaponics plant cultivation technique, it is possible to maintain the growth environment such as temperature, nutrients, light quantity and light composition in an optimal state. .

In addition, it is possible to improve product reliability and satisfaction by providing optimal conditions for plant growth by sensing plant growth conditions such as lighting of a wavelength suitable for plant growth and internal temperature control.

In addition, it is possible to easily grow plants in a narrow space such as an apartment's veranda, and to observe the process of plant growth, thereby improving the learning effect for children's rural experience.

In addition, by combining ICT technology and Internet of Things (IoT) technology with household products, it is possible to manage plant cultivation conditions anytime, anywhere, thereby improving product performance and utilization.

In addition, by enabling customized management corresponding to the growth environment and individual users using artificial intelligence and/or machine learning algorithms, it is possible to produce a user-customized product effect.

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.

1 is an exemplary diagram schematically illustrating a smart farm management system according to an embodiment of the present disclosure.
2 is an exemplary diagram of a smart farm according to an embodiment of the present disclosure.
3 is a more detailed exemplary diagram of a smart farm according to an embodiment of the present disclosure.
4 is an exemplary view for explaining the height adjustment of the lighting unit of the smart farm according to an embodiment of the present disclosure.
5 is a block diagram schematically illustrating a smart farm management system according to an embodiment of the present disclosure.
6 is a block diagram schematically illustrating a processing unit according to an embodiment of the present disclosure.
7 to 9 are exemplary views for explaining an output screen of a user terminal according to an embodiment of the present disclosure.
10 is a flowchart illustrating a smart farm management method according to an embodiment of the present disclosure.

Advantages and features of the present invention, and a method for achieving them will become apparent with reference to the detailed description in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments presented below, it can be implemented in a variety of different forms, and should be understood to include all transformations, equivalents, and substitutes included in the spirit and scope of the present invention. . The embodiments presented below are provided so that the disclosure of the present invention is complete, and to completely inform those of ordinary skill in the art to which the present invention pertains to the scope of the invention. In describing the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, the terms include or have is intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features, number, step , it should be understood that it does not preclude in advance the possibility of the presence or addition of an operation, component, part, or combination thereof. Terms such as first, second, etc. may be used to describe various elements, but the elements should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings, and in the description with reference to the accompanying drawings, the same or corresponding components are given the same reference numerals, and overlapping descriptions thereof are omitted. decide to do

1 is an exemplary diagram schematically illustrating a smart farm management system according to an embodiment of the present disclosure.

Referring to FIG. 1 , the smart farm management system 1 may include a smart farm 100 , a server 200 , a user terminal 300 , and a network 400 .

The smart farm management system (1) can grow plants easily even in a narrow space such as an apartment's veranda, and it not only provides optimal conditions for plant growth through lighting of a wavelength suitable for plant growth and internal temperature control, but also , it can help the learning effect for children's rural experience by allowing them to observe the process of plant growth. In addition, in this embodiment, the smart farm management system 1 combines ICT (Information and Communications Technology) technology to remotely and automatically optimize the growing environment using a user terminal (eg, smart phone) anytime, anywhere. to be maintained and managed as

In particular, in this embodiment, the smart farm 100 may refer to an indoor (home) device that controls and manages the growth environment in an optimal state based on aquaponics plant cultivation technique. That is, in the smart farm 100 of this embodiment, a fish tank and a plant growing space for raising plants are organically combined, so that the plant growing space supplies clear water to the water tank, and the water tank contains nutrients necessary for plant growth in the plant growing space. Contained water can be supplied. The smart farm 100, which combines such a water tank and plant cultivation space, can be installed indoors or outdoors. may be

At this time, aquaponics refers to raising fish in a paddy field or raising fish in a pond and using the water for agriculture, which means agriculture in which fish and vegetables are raised together in a facility such as a greenhouse. Unlike hydroponics, in which nutrients are added directly to water and supplied to plant roots, aquaponics is different in that it feeds fish and the excreta and surplus nutrients from the fish become nutrients for plants.

In this embodiment, not only a large amount of vegetable production, but also vegetable production at home can be performed through the smart farm 100 formed in a structure capable of implementing aquaponics plant cultivation techniques. In addition, in this embodiment, plants and ornamental fish are grown together so that the smart farm 100 can be used for hobbies and landscaping.

2 is an exemplary diagram of a smart farm according to an embodiment of the present disclosure, FIG. 3 is a more specific exemplary diagram of a smart farm according to an exemplary embodiment of the present disclosure, and FIG. 4 is a smart farm according to an exemplary embodiment of the present disclosure. It is an exemplary diagram for explaining the height adjustment of the lighting unit of the palm.

Referring to FIG. 2 , the smart farm 100 may include a fish farming unit 11 , a plant cultivation unit 12 and a lighting unit 13 , and according to an embodiment, including a moving unit 16 . can be configured. At this time, in this embodiment, each of the fish culture unit 11, the plant cultivation unit 12 and the lighting unit 13 is connected so that the fish culture unit 11, the plant cultivation unit 12 and the lighting unit 13 can be connected in multiple stages. It may be formed in a modular structure detachable from each frame, including a structure capable of being coupled to one side of the frame.

The fish farming unit 11 includes a tank in which fish can live, and may be provided at the bottom of the fish farming unit 11 , the plant cultivation unit 12 , and the lighting unit 13 .

The plant cultivation unit 12 may include a support 12-1 formed to support each of the plants, and may be installed to enable plant cultivation, and may be provided on the upper side of the fish culture unit 11 . At this time, the plant cultivation unit 12 may include a frame having a structure that can be coupled to the water tank of the fish culture unit 11 , and at least one side of the frame may be formed in a structure that can be fixed by being coupled to the water tank.

A plurality of plant fixing holes may be formed in the support 12-1, and a fixing basket for plant fixing may be installed in the plant fixing hole. Also, the fixing basket may be filled with a plant fixing material. In this case, the material and shape of the fixing basket and the plant fixing material are not specifically limited, but the fixing basket and the plant fixing material may be implemented in a material and shape that is easy to fix and easy to absorb nutrients and ventilate. Also, in the present embodiment, a hydroponic cultivation method in which soil is not used at all in the plant cultivation unit 12, a method in which soil such as sand or small gravel is used, etc. may be used. According to the difference in these methods, the material of the fixing basket and the plant fixing material may be changed. In other words, when the method of directly supplying sufficient nutrients and oxygen to the roots by direct contact of the plant roots with water containing nutrients, only the fixed basket may be provided. On the other hand, when the method in which the plant root is fixed to an inert support such as rock wool is applied, the structure holding the root can serve as a physical support, so that it can be configured as an open structure through which air and moisture are easy to pass.

In addition, a storage space in which a power supply device, a driving device, and a control device for driving the smart farm 100 can be accommodated may be provided on one side of the plant cultivation unit 12 . This storage space may be covered through the cover 12-2 for aesthetic reasons. The location and size of the storage space are not limited, and a pipe through which water emitted from the plant cultivation unit 12 can pass may be provided under the storage space.

The lighting unit 13 may be provided on the upper side of the plant cultivation unit 12 to provide a light source to the plant cultivation unit 12 . In addition, the lighting unit 13 may include a cover on the upper portion, and may be installed on the rear surface of the cover. In this case, the cover may be coupled to a fastening groove provided in the plant cultivation unit 12 to have a structure that can be fastened to the plant cultivation unit 12 . The lighting unit 13 may include an LED module, and the LED module may be implemented as a low-power system for home use by applying a constant current circuit to prevent power consumption of a certain amount or more. In this embodiment, the lighting unit 13 can adjust the light output according to the user's preference, and the operation time of the LED module can be changed.

In addition, in this embodiment, the moving part 16 may be provided on the bottom side of the fish farming part 11 . The moving unit 16 includes movable wheels and the like, so that the smart farm 100 can be easily moved. Accordingly, the user can easily move the smart farm 100 to a desired location. That is, in this embodiment, the smart farm 100 is positioned on the veranda during the day to receive natural light, and at night, the smart farm 100 is positioned inside the house to receive light by the lighting unit 13 . there is.

Meanwhile, the moving unit 16 may be omitted depending on the embodiment, and may be implemented as a fixed support. However, when the moving unit 16 is implemented to be movable, it may be implemented as a manual type movable by a user and an automatic type movable according to a control signal. In addition, the moving unit 16 may be provided with a fixing member to be fixed at a desired position after movement.

3 and 4 , the smart farm 100 will be described in more detail.

The fish culture unit 11 refers to a certain space for cultivating fish, and may supply water from the tank including excrement from the fish decomposed by microorganisms or the remnants of the tank to the plant cultivation unit 12 . In addition, the fish culture unit 11 may receive purified water from the plant cultivation unit 12 . For example, fish excrement contains ammonia, nitrates, etc., and the ammonia and the like from such excrement may flow into the gravel layer below the tank along the water circulation system. Like natural soil, the gravel layer is a good space for microorganisms and bacteria to inhabit, and the work of eating and decomposing organic matter can be performed. When ammonia accumulates too much in the tank, it acts as a dangerous toxin for plants and fish. Bacteria living in the gravel layer can convert ammonia to nitrite, which can then be converted into nutrients necessary for plants.

The plant cultivation unit 12 refers to a certain space for cultivating plants, and may receive water including nutrients converted from excrement from the fish farming unit 11 . In addition, the plant cultivation unit 12 may supply the fish culture unit 11 with water purified in the process of absorbing nutrients through the roots of the plant.

In other words, microorganisms decompose fish excrement (ammonia), an organic substance containing nitrogen, into inorganic substances (nitrates) that plants can eat and provide them to plants, and the plants obtain food from the fish and remove nutrients from the water to improve water quality. can be purified and provided to fish. That is, plants absorb nutrients and use them as energy sources, or accumulate them in the body and purify the aquatic environment, so that toxic excrement is treated in the tank so that the fish can also live healthy.

At this time, in this embodiment, although not specifically disclosed in the drawings, a pipe may be provided on the bottom side of the plant cultivation unit 12 , and water supplied to the water tank of the fish farming unit 11 is supplied via the pipe. can be supplied. That is, an outlet hole for discharging water may be provided at the lower end of one side of the plant cultivation unit 12 , and an inlet hole for water inflow may be provided at the lower end of the other side.

In this embodiment, fish culture in the first circulation line 14 and the plant cultivation unit 12 having a pump 14-1 for transferring the water of the fish culture unit 11 to the plant cultivation unit 12 Water may be circulated through the second circulation line 15 having an on/off valve 15-1 for controlling the supply of water to the unit 11 . That is, the outlet hole of the plant cultivation unit 12 may be connected to the second circulation line 15 , and the inlet hole of the plant cultivation unit 12 may be connected to the first circulation line 14 .

The pump 14-1 may draw up water from the fish culture unit 11 and transfer it to the plant cultivation unit 12 . In this embodiment, it is possible to control the amount of water circulation of the fish culture unit 11 by driving the pump (14-1).

In other words, in this embodiment, it is possible to circulate water through two circulation lines. The first circulation line 14 is for supplying water from the fish farming unit 11 to the plant cultivation unit 12 , and the second circulation line 15 is the fish farming unit 11 from the plant cultivation unit 12 . to supply water to The first circulation line 14 may allow water to be moved by the pump 14-1 because water needs to be raised from the fish culture unit 11 located at the lower portion to the plant cultivation unit 12 located at the upper portion. On the other hand, since the plant cultivation unit 12 is located on the upper part of the fish farming unit 11 and the flow of water can be induced by gravity, the pump 14-1 is not connected to the second circulation line 15, An opening/closing valve 15-1 capable of controlling the flow may be provided. However, the present invention is not limited thereto, and both a pump and an on/off valve may be provided in each of the first circulation line 14 and the second circulation line 15 .

And in this embodiment, the plant cultivation unit 12 may be provided with a filtering unit (not shown) at the front end to which water is supplied from the fish culture unit 11 and at the rear end to supply water to the fish culture unit 11 , respectively. there is. That is, the first circulation line 14 and the second circulation line 15 are each provided with a filtering unit at the portion connected to the plant cultivation unit 12, and the filtering unit is the first circulation line 14 and the second circulation line (15) is connected to each of the water flowing into the plant cultivation unit 12 and the water flowing out from the plant cultivation unit 12 may be moved after passing through the filtering unit. This is to prevent a situation in which impurities are included, such as when all excrement and the like are not decomposed in the fish farming unit 11 by adding a filtering process or when all water is not purified in the plant cultivation unit 12 . However, this may be omitted depending on the embodiment.

That is, the smart farm 100 of this embodiment uses nitrogen and phosphorus components of excrement as plant fertilizers during fish farming to purify, recycles purified water to fish culture, and reduces oxygen from plants and carbon dioxide from fish. It is possible to create an environment where plants and fish can coexist by using the system, minimizing the input of manpower to operate the system.

On the other hand, for plant cultivation, proper temperature, humidity, and nutrition should be supplied to increase the growth power of plants. In particular, since light for photosynthesis is required for plant cultivation, in this embodiment, the smart farm 100 includes the lighting unit 13 to provide light to plants.

The lighting unit 13 may be provided to be movable up and down in the upper end (top portion) of the plant cultivation unit 12 . That is, the lighting unit 13 may be configured as a frame made of an elastic member movable upward or downward. In addition, the lighting unit 13 may be formed of an LED module. Accordingly, the lighting unit 13 can supply the most suitable light source to the cultivated plant through RGB combination, and can freely adjust the illuminance and light composition. That is, in this embodiment, the lighting unit 13 may be installed in a structure in which the lighting angle, height, brightness, and color are adjusted.

In other words, as shown in FIG. 4 , the lighting unit 13 is composed of a combination of at least one or more LED modules, so that brightness and color are adjusted through light intensity and frequency control, etc., and the plant cultivation unit 12 The separation distance from the plant can be adjusted. Therefore, it is possible to grow a plant regardless of the size of the plant.

The server 200 may be a server for operating the smart farm management system 1 . In addition, the server 200 may be a database server that provides big data necessary for applying various artificial intelligence algorithms and data for operating the smart farm management system 1 . In addition, the server 200 is a web server or an application server that allows the operation of the smart farm management system 1 to be remotely controlled using a smart farm management application or a smart farm management web browser installed in the user terminal 300 . may include

Here, artificial intelligence (AI) is a field of computer science and information technology that studies how computers can do the thinking, learning, and self-development that can be done with human intelligence. It could mean making it possible to imitate intelligent behavior.

Also, artificial intelligence does not exist by itself, but has many direct and indirect connections with other fields of computer science. In particular, in modern times, attempts are being made to introduce artificial intelligence elements in various fields of information technology and use them to solve problems in that field.

Machine learning is a branch of artificial intelligence, which can include fields of study that give computers the ability to learn without explicit programming. Specifically, machine learning can be said to be a technology to study and build a system and algorithms for learning based on empirical data, making predictions, and improving its own performance. Algorithms in machine learning can take the approach of building specific models to make predictions or decisions based on input data, rather than executing rigidly set static program instructions.

The server 200 may receive and analyze service request information from the smart farm management system 1 , generate service response information corresponding to the service request information, and transmit it to the smart farm management system 1 . At this time, the server 200 receives the uttered voice corresponding to the user's service request from the smart farm management system 1, and generates the processing result of the uttered voice as service response information through voice recognition processing to create the smart farm management system ( 1) can also be provided.

The user terminal 300 may receive a service for operating or controlling the smart farm management system 1 through an authentication process after accessing the smart farm management application or the smart farm management site. In this embodiment, the user terminal 300 that has completed the authentication process may operate the smart farm management system 1 and control the operation of the smart farm management system 1 .

In this embodiment, the user terminal 300 is a desktop computer, a smartphone, a notebook computer, a tablet PC, a smart TV, a mobile phone, a personal digital assistant (PDA), a laptop, a media player, a micro server, a global positioning (GPS) operated by a user. system) devices, e-book terminals, digital broadcast terminals, navigation devices, kiosks, MP3 players, digital cameras, home appliances, and other mobile or non-mobile computing devices, but are not limited thereto. Also, the user terminal 300 may be a wearable terminal such as a watch, glasses, a hair band, and a ring having a communication function and a data processing function. The user terminal 300 is not limited to the above, and a terminal capable of web browsing may be borrowed without limitation.

The network 400 may serve to connect the smart farm 100 , the server 200 , and the user terminal 300 in the smart farm management system 1 . The network 400 is, for example, wired networks such as local area networks (LANs), wide area networks (WANs), metropolitan area networks (MANs), and integrated service digital networks (ISDNs), wireless LANs, CDMA, Bluetooth, and satellite communication. It may cover a wireless network such as, but the scope of the present invention is not limited thereto. Also, the network 400 may transmit/receive information using short-distance communication and/or long-distance communication. Here, the short-range communication may include Bluetooth (bluetooth), radio frequency identification (RFID), infrared data association (IrDA), ultra-wideband (UWB), ZigBee, and Wireless fidelity (Wi-Fi) technologies. Communication may include code division multiple access (CDMA), frequency division multiple access (FDMA), time division multiple access (TDMA), orthogonal frequency division multiple access (OFDMA), single carrier frequency division multiple access (SC-FDMA) technology. can

Network 400 may include connections of network elements such as hubs, bridges, routers, switches, and gateways. Network 400 may include one or more connected networks, eg, multiple network environments, including public networks such as the Internet and private networks such as secure enterprise private networks. Access to network 400 may be provided via one or more wired or wireless access networks. Furthermore, the network 400 may support an Internet of Things (IoT) network and/or 5G communication that exchanges and processes information between distributed components such as things.

5 is a block diagram schematically illustrating a smart farm management system according to an embodiment of the present disclosure. In the following description, descriptions of parts overlapping with those of FIGS. 1 to 4 will be omitted.

Referring to FIG. 5 , the smart farm management system 1 may include a communication interface 110 , a user interface 120 , a display unit 125 , a memory 130 , a processing unit 140 , and a processor 190 . , the tank sensor 150, the plant sensor 152, the light sensor 154, the water circulation unit 160, the light driving unit 170, the input unit 180 and the temperature control unit 182 to further include can

At this time, the tank sensing unit 150 may be provided in the fish farming unit 11 , the plant sensing unit 152 may be provided in the plant cultivation unit 12 , and the light sensing unit 154 and the light driving unit ( 170 may be provided in the lighting unit 13 . In addition, the water circulation unit 160 and the temperature control unit 182 may be provided in each of the fish culture unit 11 and the plant cultivation unit 12, but is not limited thereto.

The communication interface 110 interworks with the network 400 to provide a transmission/reception signal between the smart farm 100, the user terminal 300, and/or the server 200 in the smart farm management system 1 in the form of packet data. It may be a communication interface. In addition, the communication interface 110 may support various things intelligent communication (internet of things (IoT), internet of everything (IoE), internet of small things (IoST), etc.), and M2M (machine to machine) communication, V2X (vehicle to everything communication) communication, D2D (device to device) communication, etc. may be supported.

The user interface 120 may include an input interface and an output interface of the smart farm management system 1 . For example, the input interface may include a microphone (not shown) for voice recognition, a touch screen (not shown) for touch input, and the like. The microphone is an embodiment, and its location and implementation method are not limited, and an input means for inputting an audio signal may be borrowed without limitation.

The input interface is a configuration in which the user can input information related to the overall operation and control of the smart farm management system 1 . That is, as a configuration for an interface with a user, in the present embodiment, it may be a configuration capable of performing input such as setting of the environment of the fish farming unit 11 and the plant cultivation unit 12 .

Meanwhile, in this embodiment, the output interface may include a speaker (not shown), a display screen (not shown), and the like. The speaker may output information related to the operation of the smart farm management system 1 as auditory data. That is, the speaker may output information related to the operation of the smart farm management system 1 as audio data, and according to the control of the processor 190, a warning sound, the fish culture unit 11 and the environment of the plant cultivation unit 12 A notification message such as a real-time status and change status of a user, information corresponding to a user's voice command, a processing result corresponding to a user's voice command, etc. may be output as audio. The speaker is an embodiment, the location and implementation method are not limited, and may include all output means for outputting an audio signal.

The output interface is a configuration in which the user can output information related to the overall operation and control of the smart farm management system 1 . That is, it is a configuration for an interface with a user.

That is, the user interface 120 is a configuration in which a user can input information related to the smart farm management system 1 as well as check information related to the smart farm management system 1 , and a control capable of input and output It may mean a panel. Such a user interface 120 may be, for example, a predetermined display member such as an organic light emitting display (OLED), a liquid crystal display (LCD), or a light emitting display (LED) capable of recognizing a touch.

Meanwhile, in this embodiment, the user interface 120 may be implemented in the user terminal (300 in FIG. 1 ). For example, in this embodiment, user input and information output may be made possible through a smart farm management application of the user terminal 300 or an access screen of a smart farm management site.

The display unit 125 may be mounted on the smart farm 100 to display information about the smart farm 100 . However, the display unit 125 may be provided separately from the smart farm 100 or may be implemented by being included in the user interface 120 .

The memory 130 may be connected to one or more processors 190 to store codes that, when executed by the processor 190 , cause the processor 190 to support various functions of the smart farm management system 1 . there is.

That is, the memory 130 may store a plurality of application programs (or applications) driven in the smart farm management system 1 , information for the operation of the smart farm management system 1 , and commands. At least some of these applications may be downloaded from an external server through wireless communication. Also, the memory 130 may store information about one or more users who want to interact with the smart farm management system 1 . Such user information may include authorization information (eg, face information and body type information, voice information, etc.) that can be used to identify who the recognized user is. For example, in this embodiment, user information using the smart farm 100 may be stored.

In addition, the memory 130 may store work information to be performed by the smart farm management system 1 in response to a user's voice command (eg, a command for controlling the smart farm management system 1, etc.). there is.

In this embodiment, the memory 130 may perform a function of temporarily or permanently storing data processed by the processor 190 . Here, the memory 130 may include magnetic storage media or flash storage media, but the scope of the present invention is not limited thereto. The memory 130 may include internal memory and/or external memory, and may include volatile memory such as DRAM, SRAM, or SDRAM, one time programmable ROM (OTPROM), PROM, EPROM, EEPROM, mask ROM, flash ROM, NAND flash memory, or non-volatile memory such as NOR flash memory, SSD, compact flash (CF) card, SD card, Micro-SD card, Mini-SD card, Xd card, or flash drive such as a memory stick , or a storage device such as HDD.

The processing unit 140 is based on at least one of the aquarium environment of the fish culture unit 11, the plant cultivation environment of the plant cultivation unit 12, and the lighting information of the lighting unit 13, the fish culture unit 11 and plant cultivation By controlling the environment of the part 12 to be maintained as a set condition, the smart farm 100 can be an optimal growth environment.

The processing unit 140 may be provided outside the processor 190 as shown in FIG. 5 , may be provided inside the processor 190 to operate like the processor 190 , and may be provided inside the server 200 of FIG. 1 . may be provided in Hereinafter, a detailed operation of the processing unit 140 will be described with reference to FIG. 6 .

The tank sensing unit 150 detects the water tank environment of the fish culture unit 11, and the water temperature, turbidity, pH, electrical conductivity (EC, Electrical Conductivity), dissolved oxygen amount (DO, Dissolved) of the fish culture unit 11 . Oxygen), water level, and fish status can be detected. Such a tank sensing unit 150 may be provided in the fish farming unit 11 . For example, in this embodiment, a water temperature sensor, a turbidity sensor, a pH sensor, an electrical conductivity sensor, a dissolved oxygen amount sensor, and a water level sensor may be provided in the water of the water tank. In addition, in this embodiment, an image sensor (eg, a camera, etc.) may be provided inside and/or outside the water of the water tank to enable acquisition of an image inside the fish culture unit 11 such as a fish state.

The plant sensing unit 152 detects the plant cultivation environment of the plant cultivation unit 12, and detects at least one or more of soil moisture, temperature, humidity, plant size, water level, pH, and electrical conductivity of the plant cultivation unit 12. can detect The plant detection unit 152 may be provided in the plant cultivation unit 12 . For example, the soil moisture sensor may be provided at a contactable position inside the soil, and the temperature sensor and the humidity sensor may be provided on the upper side of the plant in the plant cultivation unit 12 . In addition, in the present embodiment, in the case of hydroponic cultivation, a water level sensor, a pH sensor, and an electrical conductivity sensor may be provided at a position in contact with the inside of the water of the plant cultivation unit 12 . In addition, in this embodiment, an image sensor, an infrared sensor, etc. may be provided to detect the size of a plant or to acquire an image for checking the plant state.

The lighting detector 154 detects lighting information of the lighting part 13 , and is provided in the lighting part 13 to detect at least one of lighting direction, temperature, brightness, and color. In this embodiment, the lighting unit 13 is composed of a combination of LED modules, each LED module may be individually coupled to the lighting unit (13). Accordingly, the direction of each LED module can be adjusted, so that the direction of lighting can be adjusted according to the growth state of the plant. Accordingly, the light detecting unit 154 may detect the direction of the adjusted light.

And in this embodiment, the temperature of the lighting unit 13 itself may rise by the heat source generated from the LED module, and accordingly, the plant cultivation unit 12 may be affected. Therefore, in this embodiment, the temperature of the lighting unit 13 may be sensed to enable temperature control. In addition, the smart farm management system 1 can detect the brightness and color of each LED module, so that it can be adjusted.

On the other hand, the smart farm management system 1 controls the environment of the fish culture unit 11 and the plant cultivation unit 12 to be maintained as set conditions based on at least one of the water tank environment, the plant cultivation environment, and the lighting information. In this case, it can be controlled through the water circulation unit 160 , the light driving unit 170 , the input unit 180 , and the temperature control unit 182 .

The water circulation unit 160 drives the pump 14 - 1 provided in the first circulation line 14 under the control of the processor 190 , and the on/off valve 15 provided in the second circulation line 15 . By operating the opening and closing of -1), it is possible to enable water circulation between the fish culture unit 11 and the plant cultivation unit 12 .

The lighting driving unit 170 may adjust at least one of an illumination angle, a height, a brightness, and a color of the lighting unit 13 under the control of the processor 190 . In this embodiment, the lighting unit 13 is movable up and down, and is configured to allow angle adjustment of each LED module, so that the lighting angle and height can be adjusted.

In addition, each LED module can be used to control brightness and color, and to supply selective wavelengths to plants. That is, in this embodiment, by supplying a selective wavelength, it is possible to obtain the effect of controlling the pigment of the plant, the enhancement of the antioxidant material, and the control of pests. That is, the smart farm management system 1 outputs light to the plants with LEDs to control plant photosynthesis and can apply different plant growth conditions, and the detection result of the fish culture unit 11 and the plant cultivation unit 12 Plant photosynthesis may be differently applied by controlling the lighting unit 13 based on the .

The input unit 180 is provided between the plant cultivation unit 12 and the fish farming unit 11, and provides food to the water tank and inputs the environment maintenance material to the water tank, and the user or automatically feeds and the environment maintenance material is provided. can be put in The structure and location of the input unit 180 are not limited, but food and environment maintenance materials may be stored in the storage space of the plant cultivation unit 12, and the food and environment maintenance materials are input into the water tank through the storage space. It can be done (see FIG. 2). In this case, the environmental maintenance material may refer to a material capable of accelerating decomposition in the fish farming unit 11 when not maintained as a set condition in the smart farm 100 . For example, the environmental maintenance material may include sodium bicarbonate or the like to prevent a decrease in pH.

In addition, the temperature control unit 182 may be provided inside the water tank of the fish farming unit 11 to adjust the water temperature of the water tank according to the control of the processor 190 . In addition, the temperature control unit 182 may be provided on one side of the inside of the plant cultivation unit 12 to adjust the temperature inside the plant cultivation unit 12 according to the control of the processor 190 . Since the space in which plants grow is not completely insulated, the temperature range suitable for plant growth may not be maintained due to the influence of external air. Accordingly, the temperature control unit 182 may adjust the temperature inside the plant cultivation unit 12 . In this case, the temperature controller 182 may be a refrigeration air conditioning control system, but is not limited thereto.

The processor 190 is a kind of central processing unit and may control the overall operation of the smart farm management system 1 by driving control software mounted on the memory 130 .

In this embodiment, the processor 190 is based on at least one of the lighting information of the water tank environment of the fish culture unit 11, the plant cultivation environment of the plant cultivation unit 12, and the lighting unit 13, 11) and the environment of the plant cultivation unit 12 may be controlled to be maintained as set conditions. At this time, the processor 190 drives the pump 14-1 of the first circulation line 14, the opening and closing of the opening/closing valve 15-1 of the second circulation line 15, or the illumination angle of the lighting unit 13 By adjusting at least one of , height, brightness, and color, the smart farm management system 1 can be optimally controlled.

And the processor 190 controls at least one of the amount of food provided to the tank, the input of an environment maintenance material into the tank, the water flow of the tank, and the water temperature of the tank, and the fish culture unit 11 and the plant cultivation unit It can be controlled so that the environment of (12) is maintained as the set condition.

Meanwhile, the processor 190 may refer to, for example, a data processing device embedded in hardware having a physically structured circuit to perform a function expressed as a code or an instruction included in a program. As an example of the data processing device embedded in the hardware as described above, a microprocessor, a central processing unit (CPU), a processor core, a multiprocessor, an application-specific integrated (ASIC) circuit) and a processing device such as a field programmable gate array (FPGA), but the scope of the present invention is not limited thereto.

In addition, in this embodiment, the processor 190 performs machine learning such as deep learning, and the fish culture unit 11, the plant cultivation unit 12 and the smart farm management system 1 It is possible to extract the state of the lighting unit 13, control data, and the like. The memory 130 may store data used for machine learning, result data, and the like.

Here, deep learning technology, which is a type of machine learning, can learn by going down to a deep level in multiple stages based on data. Deep learning can represent a set of machine learning algorithms that extract core data from a plurality of data as the level increases.

The deep learning structure may include an artificial neural network (ANN). For example, the deep learning structure is composed of a deep neural network (DNN) such as a convolutional neural network (CNN), a recurrent neural network (RNN), and a deep belief network (DBN). can be The deep learning structure according to the present embodiment may use various well-known structures. For example, the deep learning structure according to the present invention may include CNN, RNN, DBN, and the like. RNN is widely used in natural language processing, etc., and is an effective structure for processing time-series data that changes with time. DBN may include a deep learning structure composed of multi-layered restricted boltzman machine (RBM), a deep learning technique. By repeating RBM learning, when a certain number of layers is reached, a DBN having the corresponding number of layers can be configured. CNNs can include models that simulate human brain functions based on the assumption that when a person recognizes an object, it extracts basic features of an object, then performs complex calculations in the brain and recognizes an object based on the result. .

On the other hand, learning of the artificial neural network can be accomplished by adjusting the weight of the connection line between nodes (and adjusting the bias value if necessary) so that a desired output is obtained for a given input. In addition, the artificial neural network may continuously update a weight value by learning. In addition, a method such as back propagation may be used for learning the artificial neural network.

That is, the smart farm management system 1 may be equipped with an artificial neural network, that is, the processor 190 is an artificial neural network, for example, a deep neural network (DNN) such as CNN, RNN, DBN, etc. may include As a machine learning method of such an artificial neural network, both unsupervised learning and supervised learning can be used. The processor 190 may control to update the artificial neural network structure after learning according to settings.

6 is a block diagram schematically illustrating a processing unit according to an embodiment of the present disclosure. In the following description, descriptions of parts overlapping with those of FIGS. 1 to 5 will be omitted.

Referring to FIG. 6 , the processing unit 140 includes a water tank management unit 141 , a plant management unit 142 , a lighting management unit 143 , a water circulation management unit 144 , a power management unit 145 and a monitoring unit 146 . can

The water tank management unit 141 is configured to maintain the water tank environment as a set condition based on the detection data of at least one or more of the water temperature, turbidity, pH, electrical conductivity, dissolved oxygen amount, water level, and fish state of the fish culture unit 11 . can be controlled

The tank manager 141 may receive at least one of water temperature, turbidity, pH, electrical conductivity, dissolved oxygen amount, water level, and fish state from the tank sensor 150 . In addition, in this embodiment, the water tank management unit 141 inputs at least one or more of the water temperature, turbidity, pH, electrical conductivity, dissolved oxygen amount, water level, and fish state of the fish culture unit 11 to the fish culture unit 11 ) may determine the tank environment of the fish farming unit 11 based on the machine learning-based first learning model trained to determine the tank environment.

For example, the water tank management unit 141 determines whether the temperature of the water in the water tank is within a set temperature, whether the turbidity is within a set value, etc. The water temperature, turbidity, pH, electrical conductivity, dissolved oxygen amount sensed by the water tank sensing unit 150 . , the water level and the state of the fish, etc., may be determined as the optimum state, the normal state, or the non-suitable state, based on whether or not the water level is within the reference range or corresponds to the reference value.

The plant management unit 142 is configured such that the plant cultivation environment is maintained as a set condition based on the detection data of at least one of soil moisture, temperature, humidity, plant size, water level, pH, and electrical conductivity of the plant cultivation unit 12 . can be controlled

The plant management unit 142 may receive at least one of soil moisture, temperature, humidity, plant size, water level, pH, and electrical conductivity from the plant detection unit 152 . In addition, in this embodiment, the plant management unit 142 inputs at least one or more of soil moisture, temperature, humidity, plant size, water level, pH and electrical conductivity of the plant cultivation unit 12 to the plant cultivation unit 12 . The plant cultivation environment of the plant cultivation unit 12 may be determined based on the machine learning-based second learning model trained to determine the plant cultivation environment of

For example, the plant management unit 142 may detect soil moisture, temperature, humidity, plant size, water level, pH and electricity sensed by the plant detection unit 152 such as whether the internal temperature and humidity of the plant cultivation unit 12 is within a set temperature and humidity. Based on whether the conductivity is within the reference range or corresponds to the reference value, the plant cultivation environment of the plant cultivation unit 12 may be determined as an optimal state, a normal state, or a non-junction state.

The lighting management unit 143 may set the output of each LED module differently in order to supply a uniform light environment to the plant cultivation unit 12 . That is, the lighting management unit 143 may control the light of the LED module to help photosynthesis of plants. In addition, the lighting management unit 143 detects at least one of the lighting direction, temperature, brightness, and color of the lighting unit 13 through the lighting detection unit 154, and the lighting unit 13 sets the setting direction, temperature, and brightness. And it can be managed so that it can be maintained as the set color.

On the other hand, the processing unit 140 includes at least one or more of water temperature, turbidity, pH, electrical conductivity, dissolved oxygen amount, water level, and fish state of the fish culture unit 11, and the output data of the first learning model, the plant cultivation unit 12 ) of soil moisture, temperature, humidity, plant size, water level, pH, and electrical conductivity of at least one or more and the output data of the second learning model as input to the environment of the fish culture unit 11 and the plant cultivation unit 12 The control data of the smart farm 100 may be determined based on the third learning model based on machine learning trained to detect the control data of the smart farm 100 maintained under this setting condition.

For example, the water tank management unit 141 of the processing unit 140 may generate control data for maintaining the water tank environment based on the electric conductivity detection data of the water tank, in this case, the output data of the first learning model is the normal state and / or in an unsuitable state, when the electrical conductivity of the fish farming unit 11 is higher than the set conductivity value, the water circulation from the fish farming unit 11 to the plant cultivation unit 12 through the water circulation management unit 144 The cycle can be made faster. In addition, in this embodiment, the water tank management unit 141, when the output data of the first learning model is in an inappropriate state, and exceeds the threshold value of electrical conductivity higher than the set value, the fish tank management unit 146 to the user through the monitoring unit 146 By outputting a warning message to change the water of the aquaculture unit 11, it is possible to prevent the fish from dying.

In addition, the water tank management unit 141 may generate control data for maintaining the water tank environment based on, for example, the pH concentration of the water tank, in this case, the output data of the first learning model is in a normal state and/or in an unsuitable state, , depending on the pH concentration of the water tank, it is possible to control to increase the circulating amount of water in the tank when the concentration of suspended matter is high, and to decrease the circulating amount when it is low. In addition, since the fish culture unit 11 needs to continuously supply ion components that are food for the bacteria in order for the bacteria to be cultured smoothly, the tank management unit 141 can also manage whether an appropriate dissolved oxygen concentration is maintained.

In addition, the plant management unit 142 of the processing unit 140 has the output data of the second learning model in a normal state and/or in an unsuitable state, and based on the temperature and humidity detection data, the temperature control range set to be suitable for the growth of the plant and In comparison, when it is out of the appropriate range, the temperature of the internal space can be heated and cooled through the air conditioning system.

And the plant management unit 142, for example, when the output data of the second learning model is in a normal state and / or in an unsuitable state, and the soil moisture value of the plant cultivation unit 12 is 30% or more, stop the operation of the pump can be controlled to In addition, when the output data of the second learning model is in a normal state and/or in an unsuitable state, and the humidity is lower than a set value, the plant management unit 142 may cause water to be sprayed through the pump.

In addition, when the output data of the second learning model is in a normal state, and the electrical conductivity of the plant management unit 142 falls below a certain value based on the detection data of the electrical conductivity of the root side that absorbs nutrients, the fish culture unit 11 ) can be supplied with nutrients from In addition, when the output data of the second learning model is in an unsuitable state and the electrical conductivity falls below a predetermined value, the plant management unit 142 may allow nutrients to be input through the input unit 180 .

On the other hand, in this embodiment, the fish culture unit 11 is controlled by receiving the sensing data of the fish farming unit 11, or the plant cultivation unit 12 is not controlled by receiving the sensing data of the plant cultivation unit 12. Without receiving the sensing data of the fish farming unit 11, the output data of the first learning model, the sensing data of the plant cultivation unit 12, and the output data of the second learning model, the whole smart farm 100 ) can be controlled. This is because the fish culture unit 11 and the plant cultivation unit 12 may have different optimal conditions for growing fish and plants, respectively, so the fish of the fish farming unit 11 and the plants of the plant cultivation unit 12 are different. in order to balance the That is, in order to maintain the entire fish culture unit 11 and the plant cultivation unit 12 in an optimal state, the fish culture unit 11 and the plant cultivation unit 12 complexly analyze the sensing data of each. (11), it is necessary to control the entire smart farm 100 including the plant cultivation unit 12 and the lighting unit 13. For example, the processing unit 140 complexly analyzes the detection data of each of the fish culture unit 11 and the plant cultivation unit 12 to control the temperature of the entire smart farm 100, temperature control through air conditioner control, and humidifier control It is possible to perform humidity control through the control, light source control through LED module control, and quantitative discharge control of food. That is, when the fish culture unit 11 is in an unsuitable state, not only the fish culture unit 11 is controlled, but also the plant cultivation unit 12 and the lighting unit 13 are controlled so that the fish culture unit 11 is in an optimal state. can be made to become

The water circulation management unit 144 performs pump control and on/off valve control for water circulation, and may manage whether water circulation of the smart farm 100 is normally performed. For example, the water circulation management unit 144 may drive the pump according to the water circulation amount of the tank based on the discharge amount. In addition, the water circulation management unit 144 may, for example, adjust the circulation amount of the tank water according to the pH concentration of the tank water, and according to the pH concentration, if the concentration of suspended substances is high, the circulation amount of the tank water is increased, and if it is low, the circulation amount is reduced. can

The power management unit 145 manages the power of the smart farm 100 , and may check the state of a battery usable in the smart farm 100 , the smart farm operating time according to the remaining battery state, and the like. At this time, although not specifically disclosed in this embodiment, when a solar module is included in the lighting unit 13, the battery state by the solar module may also be identified and managed.

The monitoring unit 146 may output the monitoring result of the aquarium environment of the fish culture unit 11 , the plant cultivation environment of the plant cultivation unit 12 , and the lighting information of the lighting unit 13 . At this time, the monitoring unit 146 includes real-time data of the aquarium environment of the fish farming unit 11 , the plant cultivation environment of the plant cultivation unit 12 and lighting information of the lighting unit 13 , the fish farming unit 11 and the plant cultivation unit. Notification data according to whether the set conditions of (12) are maintained or not, smart farm control data based on the type of plant provided in the plant cultivation unit 12 and the type of fish provided in the fish farming unit 11, and smart farm inside/outside At least one or more of plant type and fish type recommendation data based on the environment of . In addition, it is possible to provide a harvest time notification and the like.

For example, the monitoring unit 146 may determine that when the temperature/humidity detection value of the fish farming unit 11 is out of 15°C to 27°C, the water temperature detection value of the fish farming unit 11 is 24°C to 28°C. In case of deviation, when the turbidity detection value of the fish farming unit 11 is output as 0 and 5, monitoring data may be output to notify the user.

Meanwhile, in the present embodiment, the user may perform an input for smart farm management, such as input of setting conditions for the smart farm 100 through the user interface 120 . In this embodiment, the user interface 120 may be implemented in the user terminal 300 to enable input and management on the smart farm management screen. In addition, in this embodiment, the smart farm management application or the smart farm management site may be accessed through the user terminal 300 to enable input and management on the smart farm management screen.

In addition, in this embodiment, it is possible to check the output data provided by the monitoring unit 146 through the user terminal (300). That is, in the present embodiment, the output data provided by the monitoring unit 146 may be checked using the smart farm management application or the smart farm management web browser installed in the user terminal 300 .

In addition, in this embodiment, by registering a user through the smart farm management application or the smart farm management web browser, the user can control the smart farm 100, and user-customized control can be performed. .

Meanwhile, the data sensed by the smart farm 100 may vary depending on the type of fish, the number of individuals, the amount of food supplied, the type of cultivated plants, the number of plants, and the like. Accordingly, the user can receive monitoring data on the type of fish, the number of fish, the amount of food supplied, the type of plant grown, the number of plants, etc., and the type of fish, the number of fish, the type of plant, You can input the number of plants, LED intensity, and food supply. At this time, the monitoring unit 146 determines whether the optimal conditions of the smart farm 100 are maintained based on the information about the type of fish, the number of fish, the type of plant, the number of plants, the LED intensity, and the amount of food input by the user. Monitoring results can be output. In addition, in this embodiment, the smart farm 100 is controlled to maintain the optimal conditions based on information about the type of fish, the number of fish, the type of plant, the number of plants, the LED intensity, and the amount of food input by the user. can For example, in this embodiment, with respect to the smart farm management system built on the basis of the information input by the user, information on the water quality environment according to the change in the amount of food supply is continuously collected, and based on the information, the number of fish and optimal control, such as determining the ratio of plant populations to

7 to 9 are exemplary views for explaining an output screen of a user terminal according to an embodiment of the present disclosure. 7 and 8 , the user may perform user registration by performing membership registration.

And, as shown in FIG. 9 , a real-time screen provided by the monitoring unit 146 may be checked, and remote control such as driving a pump may be possible. In this case, FIG. 9( a ) shows a real-time image of the smart farm 100 , and may be provided by an image sensor provided in the smart farm 100 . In addition, FIG. 9(b) shows the detection result data of various sensors provided in the smart farm 100 in real time. In addition, after checking the detection results of various sensors in real time, it is possible to input settings.

On the other hand, in the present embodiment, the monitoring unit 146 has different growth times depending on each plant, and the optimal temperature and light source range, and the required nutrient level, etc. may be different, so the control based on the currently grown plant is performed. Monitoring results can be printed out. In addition, the monitoring unit 146 may recommend vegetables that are easy to grow based on the temperature, the range of the light source, and nutrients that are currently available in the smart farm 100 .

Furthermore, the monitoring unit 146 may provide a purchase time of consumables used in the smart farm 100, a plant cultivation time, etc. based on the number of fish and plants, the amount of food supplied by the user, and the like. Consumables may include food, plant seeds, etc., initial information is input by the user, and based on the initial information, it is possible to determine the purchase time of the consumables.

10 is a flowchart illustrating a smart farm management method according to an embodiment of the present disclosure. In the following description, parts overlapping with those of FIGS. 1 to 9 will be omitted.

Referring to FIG. 10 , in step S10 , the smart farm management system 1 detects a water tank environment. That is, the smart farm management system 1 includes a tank where fish can inhabit therein, and supplies water from the tank including excrement from the fish decomposed by microorganisms or the remnants of the tank to the plant cultivation unit 12. It is possible to sense the tank environment of the fish farming unit 11 . At this time, the smart farm management system 1 is at least one of the water temperature, turbidity, pH, electrical conductivity (EC, Electrical Conductivity), Dissolved Oxygen (DO, Dissolved Oxygen), water level and fish state of the fish farming unit 11. can detect

In step S20, the smart farm management system 1 detects the plant cultivation environment. That is, the smart farm management system 1 is installed to enable plant cultivation, including a support formed to support each of the plants, and is provided on the upper side of the fish culture unit 11 to receive the supply from the fish culture unit 11 . The plant cultivation environment of the plant cultivation unit 12 that supplies the water purified by the plants to the fish farming unit 11 may be sensed. In this case, the smart farm management system 1 may detect at least one of soil moisture, temperature, humidity, plant size, water level, pH, and electrical conductivity of the plant cultivation unit 12 .

In step S30, the smart farm management system 1 detects lighting information. That is, the smart farm management system 1 is provided so as to be movable up and down on the upper side of the plant cultivation unit 12 to detect the lighting information of the lighting unit 13 that provides a light source to the plant cultivation unit 12 . In this case, the smart farm management system 1 may detect at least one of a lighting direction, temperature, brightness, and color of the lighting unit 13 .

In step S40, the smart farm management system 1 performs control for maintaining the environment of the fish farming unit 11 and the plant cultivation unit 12 as set conditions. That is, the smart farm management system 1 is based on at least one of the aquarium environment of the fish farming unit 11, the plant cultivation environment of the plant cultivation unit 12, and the lighting information of the lighting unit 13, the fish farming unit 11 ) and the environment of the plant cultivation unit 12 can be controlled to be maintained as a set condition.

At this time, the smart farm management system 1 includes a first circulation line equipped with a pump for transferring the water of the fish farming unit 11 to the plant cultivation unit 12 and the fish farming unit 11 in the plant cultivation unit 12 . ) to drive the pump and control the on/off valve of the water circulation unit so that water circulates through the second circulation line having an on/off valve for controlling the water supply to the By adjusting at least one or more, it is possible to control the environment of the smart farm 100 to be maintained as a set condition. In addition, the smart farm management system 1 performs at least one of control of the amount of food provided to the water tank, environment maintenance material input to the water tank, water flow control in the water tank, and water temperature control in the water tank, You can control the environment to be maintained as a set condition. In this case, the setting condition of the smart farm 100 may be set by a user, or may be set by recommendation data provided from the server 200 according to an embodiment. Such recommendation data may be generated by machine learning. In addition, the setting conditions may be set for each of the fish culture unit 11 and the plant cultivation unit 12 , and the control of the lighting unit 13 controls whether the environment of the fish culture unit 11 and the plant cultivation unit 12 is maintained. may vary depending on However, depending on the embodiment, the control of the lighting unit 13 may also be set by the user or the server 200, in this case, a constant based on whether the environment of the fish farming unit 11 and the plant cultivation unit 12 is maintained. It may be set to be changeable within a range.

The above-described embodiment according to the present invention may be implemented in the form of a computer program that can be executed through various components on a computer, and such a computer program may be recorded in a computer-readable medium. In this case, the medium includes a hard disk, a magnetic medium such as a floppy disk and a magnetic tape, an optical recording medium such as CD-ROM and DVD, a magneto-optical medium such as a floppy disk, and a ROM. , RAM, flash memory, etc., a hardware device specially configured to store and execute program instructions.

Meanwhile, the computer program may be specially designed and configured for the present invention, or may be known and used by those skilled in the computer software field. Examples of the computer program may include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like.

In the specification of the present invention (especially in the claims), the use of the term "above" and similar referential terms may be used in both the singular and the plural. In addition, when a range is described in the present invention, each individual value constituting the range is described in the detailed description of the invention as including the invention to which individual values belonging to the range are applied (unless there is a description to the contrary). same as

The steps constituting the method according to the present invention may be performed in an appropriate order unless the order is explicitly stated or there is no description to the contrary. The present invention is not necessarily limited to the order in which the steps are described. The use of all examples or exemplary terms (eg, etc.) in the present invention is merely for the purpose of describing the present invention in detail, and the scope of the present invention is limited by the examples or exemplary terms unless limited by the claims. it's not going to be In addition, those skilled in the art will appreciate that various modifications, combinations, and changes may be made in accordance with design conditions and factors within the scope of the appended claims or their equivalents.

Therefore, the spirit of the present invention should not be limited to the above-described embodiments, and the scope of the spirit of the present invention is not limited to the scope of the scope of the present invention. will be said to belong to

1: Smart Farm Management Environment 11: Fish Farming Department
12: plant cultivation section 12-1: support
12-2: cover 13: lighting unit
14: first circulation line 14-1: pump
15: second circulation line 15-1: on-off valve
16: mobile unit 110: communication interface
120: user interface 125: display unit
130: memory 140: processing unit
141: water tank management unit 142: plant management unit
143: lighting management unit 144: water circulation management unit
145: power management unit 146: monitoring unit
150: tank detection unit 152: plant detection unit
154: light detection unit 160: water circulation unit
170: light driving unit 180: input unit
182: temperature control unit 190: processor

Claims (14)

A fish culture unit for supplying to the plant cultivation unit, including a tank in which the fish can inhabit, the water of the tank including the excrement from the fish decomposed by microorganisms or the tank remnants;
It is installed to enable plant cultivation, including a support formed to support each of the plants, and is provided on the upper side of the fish culture unit so that the water supplied from the fish culture unit is purified water by the plants. Plants supplying to the Ministry of Agriculture; and
It is provided so as to be movable up and down on the upper side of the plant cultivation unit, and provides a light source to the plant cultivation unit, and includes a lighting unit whose lighting angle, height, brightness and color are adjusted,
Through a first circulation line having a pump for transferring the water of the fish culture unit to the plant cultivation unit and a second circulation line having an opening/closing valve for controlling the water supply from the plant cultivation unit to the fish culture unit Let the water circulate,
Further comprising a monitoring unit for outputting a monitoring result of the lighting information of the aquarium environment of the fish culture unit, the plant cultivation environment of the plant cultivation unit, and the lighting unit,
The monitoring unit outputs plant type recommendation data for recommending a type of plant for cultivation based on a temperature, a range of a light source, nutrients, etc. that can be provided by the plant cultivation unit or the lighting unit,
Based on the number of fish in the tank, the number of plants in the plant cultivation unit, and the amount of fish food supplied by the user, determining and outputting the purchase timing of consumable materials including the number of fish food and plant seeds,
Smart Farm.
The method of claim 1,
The fish culture unit includes a water tank sensing unit for detecting at least one of water temperature, turbidity, pH, electrical conductivity (EC), dissolved oxygen (DO, Dissolved Oxygen), water level, and fish state,
The plant cultivation unit includes a plant sensing unit that detects at least one of soil moisture, temperature, humidity, plant size, water level, pH, and electrical conductivity,
The lighting unit comprises a lighting detection unit for detecting at least one of a lighting direction, temperature, brightness and color,
Smart Farm.
The method of claim 1,
an input unit provided between the plant cultivation unit and the fish farming unit to provide food to the water tank and to inject an environment maintenance material into the water tank; and
Further comprising a temperature control unit provided inside the water tank to adjust the water temperature of the water tank,
Smart Farm.
The method of claim 1,
The fish culture unit, the plant cultivation unit and the lighting unit include a structure in which one frame of each of the fish culture unit, the plant cultivation unit, and the lighting unit can be coupled to each other so that the lighting unit can be connected in multiple stages, the fish culture unit, the plant cultivation The part and the lighting part are formed in a modular structure detachable from each of the frames,
Smart Farm.
A method for managing a smart farm, comprising:
Sensing a fish tank environment of a fish culture unit that supplies a plant cultivation unit with water in the tank including excrement or tank remnants from the fish decomposed by microorganisms, including a tank in which fish can inhabit;
It is installed to enable plant cultivation, including a support formed to support each of the plants, and is provided on the upper side of the fish culture unit so that the water supplied from the fish culture unit is purified water by the plants. Sensing the plant cultivation environment of the plant cultivation unit supplied to the;
detecting lighting information of a lighting unit provided to be movable up and down on the upper side of the plant cultivation unit and providing a light source to the plant cultivation unit; and
Controlling the environment of the fish culture unit and the plant cultivation unit to be maintained as a set condition based on at least one of the fish culture unit's water tank environment, the plant cultivation environment of the plant cultivation unit, and lighting information of the lighting unit, and ,
In the controlling step, a first circulation line having a pump for transferring the water of the fish culture unit to the plant cultivation unit and an opening/closing valve for controlling the supply of water from the plant cultivation unit to the fish culture unit are provided. Comprising the step of performing a pump driving and opening/closing valve control of the water circulation unit to circulate water through the second circulation line, or adjusting at least one of the lighting angle, height, brightness and color of the lighting unit,
Further comprising the step of outputting a monitoring result of the lighting information of the aquarium environment of the fish culture unit, the plant cultivation environment of the plant cultivation unit, and the lighting unit,
The step of outputting the monitoring result may include: outputting plant type recommendation data for recommending a type of a plant for cultivation based on a temperature, a range of a light source, nutrients, etc. that can be provided by the plant cultivation unit or the lighting unit; and
Based on the number of fish in the tank, the number of plants in the plant cultivation unit, and the amount of fish food supplied by the user, determining and outputting the purchase timing of consumable materials including the number of fish food and plant seeds,
How to manage a smart farm.
6. The method of claim 5,
The step of detecting the tank environment of the fish culture unit includes at least one or more of water temperature, turbidity, pH, electrical conductivity (EC), dissolved oxygen (DO, Dissolved Oxygen), water level, and fish state of the fish culture unit. detecting,
The step of detecting the plant cultivation environment of the plant cultivation unit comprises the step of detecting at least one or more of soil moisture, temperature, humidity, plant size, water level, pH and electrical conductivity of the plant cultivation unit,
The step of detecting the lighting information of the lighting unit includes the step of detecting at least one of a lighting direction, temperature, brightness and color of the lighting unit,
How to manage a smart farm.
7. The method of claim 6,
The step of controlling the environment of the fish culture unit and the plant cultivation unit to be maintained in a set condition comprises:
Controlling the amount of food provided to the water tank, inputting an environment maintenance material into the water tank, controlling the flow of water in the water tank, and controlling at least one of the water temperature control in the water tank,
How to manage a smart farm.
6. The method of claim 5,
In order to determine the tank environment of the fish culture part by inputting at least one or more of water temperature, turbidity, pH, electrical conductivity (EC), dissolved oxygen (DO), water level, and fish state of the fish culture part as an input determining a tank environment of the fish farming unit based on a first learning model based on trained machine learning;
The step of detecting the plant cultivation environment of the plant cultivation unit may include inputting at least one or more of soil moisture, temperature, humidity, plant size, water level, pH and electrical conductivity of the plant cultivation unit as an input to determine the plant cultivation environment of the plant cultivation unit determining a plant cultivation environment of the plant cultivation unit based on a second learning model based on machine learning trained to do so; and
At least one or more of water temperature, turbidity, pH, electrical conductivity, dissolved oxygen amount, water level and fish state of the fish culture unit, the output data of the first learning model, soil moisture, temperature, humidity, plant size of the plant cultivation unit, Training to detect control data of the smart farm in which the environment of the fish farming unit and the plant cultivation unit is maintained as set conditions by receiving at least one or more of water level, pH, and electrical conductivity and output data of the second learning model as inputs Comprising the step of determining the control data of the smart farm based on the machine learning-based third learning model,
How to manage a smart farm.
delete A device for managing a smart farm, comprising:
a communication interface to communicate with the smart farm;
one or more processors; and
a memory coupled to the one or more processors;
The memory, when executed by the processor, causes the processor to:
Sensing the tank environment of the fish farming unit that supplies the plant cultivation unit with the water of the water tank including the excrement or tank remnants from the fish decomposed by microorganisms, including the tank where the fish can inhabit therein,
It is installed to enable plant cultivation, including a support formed to support each of the plants, and is provided on the upper side of the fish culture unit to sense the plant cultivation environment of the plant cultivation unit that supplies purified water to the fish culture unit,
Detects the lighting information of the lighting unit provided to be movable up and down on the upper side of the plant cultivation unit to provide a light source to the plant cultivation unit,
Controlling the environment of the fish culture unit and the plant cultivation unit to be maintained as set conditions based on at least one or more of the aquarium environment of the fish culture unit, the plant cultivation environment of the plant cultivation unit, and the lighting information of the lighting unit, and the fish culture Water is circulated through a first circulation line having a pump for transferring water from the plant to the plant cultivation unit and a second circulation line having an opening/closing valve for controlling the water supply from the plant cultivation unit to the fish culture unit. Stores codes that cause to perform pump driving and opening/closing valve control of the water circulation unit or to adjust at least one or more of the lighting angle, height, brightness and color of the lighting unit,
The memory, when executed by the processor, causes the processor to:
and output the monitoring result of the lighting information of the fish culture unit's fish tank environment, the plant cultivation environment of the plant cultivation unit, and the lighting unit,
Outputs plant type recommendation data for recommending a type of plant for cultivation based on a temperature, a range of a light source, nutrients, etc. that can be provided by the plant cultivation unit or the lighting unit,
Based on the number of fish in the tank, the number of plants in the plant cultivation unit, and the amount of fish food supplied by the user, it stores codes that cause to determine and output the purchase timing of consumables including the number of fish food and plant seeds,
Smart farm management device.
11. The method of claim 10,
The memory, when executed by the processor, causes the processor to:
Based on at least one of water temperature, turbidity, pH, electrical conductivity (EC, Electrical Conductivity), dissolved oxygen (DO, Dissolved Oxygen), water level, and fish state, detecting the tank environment of the fish culture unit,
Based on at least one of soil moisture, temperature, humidity, plant size, water level, pH, and electrical conductivity, sensing the plant growing environment of the plant cultivation unit,
Based on at least one or more of a lighting direction, temperature, brightness and color, further storing codes causing to sense lighting information of the lighting unit,
Smart farm management device.
12. The method of claim 11,
The memory, when executed by the processor, causes the processor to:
The environment of the fish farming unit and the plant cultivation unit is set by controlling at least one of the amount of food provided to the water tank, input of an environment maintenance material into the water tank, water flow control in the water tank, and water temperature control in the water tank further storing codes that cause it to be maintained as a condition,
Smart farm management device.
11. The method of claim 10,
The memory, when executed by the processor, causes the processor to:
In order to determine the tank environment of the fish culture part by inputting at least one or more of water temperature, turbidity, pH, electrical conductivity (EC), dissolved oxygen (DO), water level, and fish state of the fish culture part as an input Determining the tank environment of the fish farming unit based on the trained machine learning-based first learning model,
The step of detecting the plant cultivation environment of the plant cultivation unit may include inputting at least one or more of soil moisture, temperature, humidity, plant size, water level, pH and electrical conductivity of the plant cultivation unit as an input to determine the plant cultivation environment of the plant cultivation unit Determining the plant cultivation environment of the plant cultivation unit based on a second learning model based on machine learning trained to
At least one or more of water temperature, turbidity, pH, electrical conductivity, dissolved oxygen amount, water level and fish state of the fish culture unit, the output data of the first learning model, soil moisture, temperature, humidity, plant size of the plant cultivation unit, Training to detect control data of the smart farm in which the environment of the fish farming unit and the plant cultivation unit is maintained as set conditions by receiving at least one or more of water level, pH, and electrical conductivity and output data of the second learning model as inputs Further storing codes that cause to determine the control data of the smart farm based on the third learning model based on machine learning,
Smart farm management device.
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