KR102004165B1 - Artificial intelligence type integration automation system using big data and artificial intelligence machine learning - Google Patents

Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an integrated intelligent management system through big data and artificial intelligence machine learning. The present invention relates to an integrated management system for a poultry farm including a heat pump 10, a building farm 20, a heat carrier 30, a smart farm integration management server 40, an integrated control center 50, a worker terminal 60, The smart farm integrated management management server 40 includes a smart farm management server 40 and a smart farm management server 40. The smart farm management server 40 manages the intelligent farm management system A heat pump 10 for transferring temperature, flow rate, and pressure sensor data; A building aquaculture farm 20 for transmitting temperature, pH, dissolved oxygen (hereinafter, referred to as "DO") and flow sensor data to the smart farm integrated management automation management server 40; (30) for transmitting temperature, flow rate and pressure sensor data to the smart farm integration automated management server (40); And the data collection module 41 of the smart farm integrated management automation management server 40 drives the growth management software 43a as artificial intelligence software and provides each collected sensor data to the integrated control module 42 To provide a comprehensive control of the heat pump 10, the building farm 20 and the heat delivery device 30 to the remote integrated control center 50, the worker terminal 60 and the mobile device 70 .
As a result, systematic information management, integrated control and growth (breeding) management for building farms with a large number of breeding tanks can be performed systematically and comprehensively by automated artificial intelligence formed by software (S / W) Lt; / RTI >
In addition, the trend of the water quality information of each water tank can be statistically analyzed, and it is possible to utilize the statistical information as feedback information to enable automatic growth (breeding) management.
In addition to the integrated management of smart aquaculture integrated management, optimization of growth environment control and flow control (estimation of oxygen consumption rate (prediction of growth activities such as eating and sleeping conditions)), light control (Temperature and oxygen, CO2, DO, TGP, turbidity, etc.) can be achieved by automation of solid matter removal, water quality and water temperature control (LED illumination and color control for optimization of fish species growth environment).
In addition, the sensor data, the integrated control details, the growth management details, the growth standard information, and the growth statistics are stored in the database 41i in real time, and the growth state and shipment state of the fish are stored in the machine learning program, It is possible to provide an integrated intelligent automation management system that creates an optimized environment.

Description

TECHNICAL FIELD [0001] The present invention relates to an integrated management system for a fish farm using large data and artificial intelligence machine learning,

[0001] The present invention relates to an integrated intelligent intelligent management system using big data and artificial intelligence machine learning, and more particularly, to systematic information management, integrated management, and growth (breeding) management for a building aquarium comprising a plurality of breeding tanks, And an integrated intelligent management system for artificial intelligence through big data and artificial intelligence machine learning in order to perform systematic and comprehensive automation management by artificial intelligence formed by software (S / W).

Generally, due to the development of civilization, humankind enjoys being infinite civilization, but in proportion to this, there is a problem of environmental pollution due to lack of food and pollution. In particular, the pollution of sea, river, river and so on, which is the last volcano of mankind, is becoming serious, and every effort is made to prevent pollution.

And, in order to protect the fishery of our country, we declare economic zone to prevent exhaustion of fishery by indiscriminate capture and protect fishery resources.

Because of this, indiscriminate catching is gradually changing to fishery which protects its own fishery in the fishery and feeds for the supply of stable fishery.

A typical example of a fishery is fishing. In general, the term "aquaculture" refers to an organism that naturally reproduces and grows in a natural ecosystem without artificial reproduction or growth.

There are three main ways to use this form: coarse, semi-intensive, and intensive.

The coarse method nourishes and grows naturally in a state of being surrounded by a certain limited area (ponds, lakes, large fences, etc.) of shellfish that can be cultivated. It grows more than a certain amount, and it catches when commercialization is possible.

The productivity of the above method is 100 to 200 kg per hectare per year, which is a rarely used method because the efficiency of the culture is lowered.

However, in the case of an endangered species in the ecosystem of the sea or river, this method is used to preserve the extinct species and to stabilize the ecosystem by artificially propagating and releasing large quantities.

The semi-intensive method is similar to the open-ended method, but it increases the yield per unit space by artificially feeding the food that the fish ingest in a certain space. About 2,000-5,000kg of fish a year can be planted per hectare.

And, intensive methods use artificial structures to confine fish to a group that can grow in a limited space, to create an optimal environment for the creature to grow, to provide adequate food, and to enable high-density cultivation . The production of this method can produce about 300,000 kg of fish a year per hectare.

As described above, the production amount of the intensive method in the aquaculture is superior, and the caged aquaculture method in the sea form is a form of this form.

The marine cage culture described above is a method of raising a large amount of fish and shellfish in confined spaces in a limited space. It is a method of preventing feces excreted from fish and shellfish, feed residue supplied as a food for growth, drugs administered to prevent fish and shellfish diseases There has been a problem of providing the cause of environmental pollution because it pollutes the sea.

Conventionally, there has been a problem in that a cage culture is caused by red tides and typhoons in summer and damage caused by the company in winter, which causes a great disadvantage to fisheries.

Accordingly, in the related technology field, not only a farm where cultivation can be carried out by an intensive method, but also a growth environment optimization control, a flow rate control, and a light control are possible through practical application of thermal fusion and building style using ICT technology, It is required to develop a technology to enable automatic removal of solid matter, water quality and water temperature control.

Korean Patent Laid-Open Publication No. 10-2015-0124881 "WASTEWATER PURIFYING APPARATUS AND METHOD FOR MANAGEMENT BUILDING OF FLOATING FISH CAGE" Korean Patent Laid-Open Publication No. 10-2015-0145527 "AQUACULTURE GROUND, AQUACULTURE GROUND MANAGEMENT METHOD, AND AQUACULTURE GROUND CONSTRUCTION METHOD" Korean Patent Laid-Open Publication No. 10-2016-0040041 "APPARATUS FOR SMARTLY MANAGING RED TIDE IN SUBMERSIBLE FISH CAGE"

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide systematic information management, integrated control and growth (breeding) management for a building farm having a plurality of breeding tanks by systematic and comprehensive To provide an integrated management system for artificial intelligence through big data and AI learning.

In addition, the present invention can be applied to a large data and artificial intelligence machine for enabling automatic growth (breeding) management by utilizing statistical information as feedback information again, And to provide an integrated management system of artificial intelligence through learning.

In addition, the present invention relates to a method for controlling the growth environment, controlling flow rate (measuring oxygen consumption rate (prediction of growth activities such as eating and sleeping conditions)), It is possible to control light intensity (LED illumination and color control to optimize the growth environment of each species) and to automate solid matter removal, water quality and water temperature control (temperature, oxygen, CO2, DO, TGP, turbidity, etc.) Big Data and Artificial Intelligence This is to provide an integrated management system of artificial intelligence through machine learning.

However, the objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, an integrated intelligent management system for artificial intelligence through big data and artificial intelligent machine learning according to an embodiment of the present invention includes a heat pump 10, a building farm 20, a heat delivery device 30, An integrated management center 40, an integrated control center 50, a worker terminal 60 and a mobile device 70 to provide an artificial intelligence system for continuously managing various sensor data on the building farm 20 (10) for transmitting temperature, flow rate, and pressure sensor data to a smart farm integrated management automation management server (40); and an integrated management system for artificial intelligence through artificial intelligence machine learning. A building aquaculture farm 20 for transmitting temperature, pH, dissolved oxygen (hereinafter, referred to as "DO") and flow sensor data to the smart farm integrated management automation management server 40; (30) for transmitting temperature, flow rate and pressure sensor data to the smart farm integration automated management server (40); And the data collection module 41 of the smart farm integrated management automation management server 40 drives the growth management software 43a as artificial intelligence software and provides each collected sensor data to the integrated control module 42 To provide a comprehensive control of the heat pump 10, the building farm 20 and the heat delivery device 30 to the remote integrated control center 50, the worker terminal 60 and the mobile device 70 .

In the artificial intelligence integrated management system using big data and artificial intelligence machine learning according to another embodiment of the present invention, the smart farm integrated management automation management server 40 includes a growth management software 43a, which is artificial intelligence software, Manages the growth of fish cultured in the building farm 20 using the collected sensor data and transmits the managed data to the remote control center 50, the worker terminal 60, the mobile device 70 A growth management module 43 for providing the growth management module; Further comprising:

In addition, in the artificial intelligence integrated management system using big data and artificial intelligence machine learning according to another embodiment of the present invention, the smart farm integrated management automation management server 40 stores each collected sensor data in the database 41i A statistical analysis module 44 that generates and provides the provided report form 44a to the remote centralized control center 50, the worker terminal 60, and the mobile device 70; Further comprising:

In addition, in the artificial intelligence integrated management system using big data and artificial intelligence machine learning according to another embodiment of the present invention, the statistical analysis module 44 may include sensor data, integrated control details, growth management details, , And stores the growth statistics in the database 41i.

Further, in the artificial intelligence integrated management system through the big data and artificial intelligence machine learning according to another embodiment of the present invention, sensor data, integrated control details, growth management details, growth standard information, And it is characterized by the fact that the growth environment and the parenting environment system make the optimization environment by themselves by the machine learning program by storing the growth state and the shipping state of the cultured fish.

According to another embodiment of the present invention, an integrated intelligence management system for artificial intelligence through big data and artificial intelligence machine learning includes an artificial intelligence S / W for deriving an intermediate optimal value and a final optimal value for collected data; And the collected data is characterized by production amount, momentum, meat quality (texture), disease, water temperature, dissolved oxygen, pH, ammonia, and roughness.

The integrated intelligent management system of artificial intelligence through big data and artificial intelligence machine learning according to an embodiment of the present invention is a system for managing integrated information management, integrated control and growth (breeding) management for a building farm having a plurality of breeding tanks, W), it is possible to perform systematic and comprehensive automation management by artificial intelligence.

In addition, according to another embodiment of the present invention, the integrated intelligent management system for artificial intelligence through big data and artificial intelligence machine learning can statistically change the change in the water quality information of each breeding tank, Thereby enabling automated growth (breeding) management.

In addition, the integrated management system of artificial intelligence through large data and artificial intelligence machine learning in accordance with another embodiment of the present invention can be applied to a smart farm environment through integrated management of integrated management of smart aquaculture, Optimal control, flow control (measurement of oxygen consumption rate (prediction of growth activities such as eating and sleeping conditions)), light control (LED illumination and color control for optimization of fish species growth environment) Water temperature control (temperature, oxygen, CO2, DO, TGP, turbidity, etc.) provides a possible effect.

FIG. 1 is a diagram illustrating an integrated intelligence management system based on big data and artificial intelligence machine learning according to an embodiment of the present invention.
FIG. 2 is a diagram illustrating a Recirculating Aquaculture System (RAS) sensing point used in the artificial intelligence integrated management system through big data and artificial intelligence machine learning according to an embodiment of the present invention.
FIG. 3 is a diagram showing concrete components for monitoring sensor data of the data collection module 41 among the artificial intelligence integrated management system through the big data and the AI learning.
FIG. 4 is a block diagram showing an integrated control dashboard user interface (UI) provided by the integrated management center 40 of the integrated farm management server 40 in the integrated management system of artificial intelligence through big data and artificial intelligence machine learning according to the embodiment of the present invention. Fig.
FIG. 5 is a block diagram showing an integrated management software (S) for driving the integrated control module 42 in the smart farm integrated management management server 40 among the integrated intelligent management system of artificial intelligence through big data and artificial intelligence machine learning according to the embodiment of the present invention. / W) 42a to the integrated control center 50. As shown in FIG.
FIG. 6 is a view showing an integrated management management mobile application UI screen provided to the mobile device 70 in the smart farm integration management server 40 among the artificial intelligence integrated management system through the big data and artificial intelligence machine learning according to the embodiment of the present invention Fig.
FIG. 7 is a conceptual diagram illustrating practical application of fusion fusion of building style using heat energy and ICT technology, in addition to the artificial intelligence integrated management system through the big data and artificial intelligence machine learning according to the embodiment of the present invention.
FIG. 8 is a diagram showing an artificial intelligent machine learning concept in an integrated artificial intelligence management system through big data and artificial intelligence machine learning according to an embodiment of the present invention.

The present invention can be variously modified and may have various embodiments, and specific embodiments will be described in detail with reference to the drawings. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

Terms including ordinals, such as first, second, etc., may be used to describe various elements, but the elements are not limited to these terms. The terms are used only for the purpose of distinguishing one component from another.

For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component. And / or < / RTI > includes any combination of a plurality of related listed items or any of a plurality of related listed items.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the meaning in the context of the relevant art and are to be construed as ideal or overly formal in meaning unless explicitly defined in the present application Do not.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, with reference to the accompanying drawings, a preferred embodiment of an artificial intelligence integrated management system using big data and artificial intelligence machine learning according to the present invention will be described with reference to the accompanying drawings. In this process, the thicknesses of the lines and the sizes of the components shown in the drawings may be exaggerated for clarity and convenience of explanation. In addition, the terms described below are defined in consideration of the functions of the present invention, which may vary depending on the intention or custom of the user, the operator. Therefore, definitions of these terms should be made based on the contents throughout this specification.

FIG. 1 is a diagram illustrating an integrated intelligence management system based on big data and artificial intelligence machine learning according to an embodiment of the present invention. Referring to FIG. 1, the integrated management system for artificial intelligence through big data and artificial intelligence machine learning includes a heat pump 10, a building farm 20, a heat delivery device 30, a smart farm integration management server 40, The integrated control center 50, the worker terminal 60 and the mobile device 70, an artificial intelligence method for continuously managing various sensor data on the building farm 20 can be used.

The smart farm integrated management automation management server 40 may include a data collection module 41, an integrated control module 42, a growth management module 43 and a statistical analysis module 44. The integrated management module 42 A growth management S / W 43a for driving the growth management module 43; a report form 44a provided by the statistical analysis module 44; As shown in FIG.

In this specification, a module may mean a functional and structural combination of hardware for carrying out the technical idea of the present invention and software for driving the hardware. For example, the module may mean a logical unit of a predetermined code and a hardware resource for executing the predetermined code, and it does not necessarily mean a physically connected code or a kind of hardware. Can be easily deduced to the average expert in the field of < / RTI >

Here, the heat pump 10 can transmit temperature, flow rate, and pressure sensor data to the data collection module 41 of the smart farm integrated management automation management server 40.

The building farm 20 can transmit temperature, pH, dissolved oxygen (DO), and flow sensor data to the data collection module 41 of the smart farm integration management automation management server 40.

The thermal carrier 30 can transmit the temperature, flow rate, and pressure sensor data to the data collection module 41 of the smart farm integrated management automation management server 40.

Accordingly, the data collection module 41 drives the growth management software 43a, which is artificial intelligence software, and supplies the collected sensor data to the integrated control module 42 so that the heat pump 10, 20 to the remote centralized control center 50, the worker terminal 60, and the mobile device 70, as shown in FIG.

On the other hand, the growth management module 43 manages the growth of the fish cultured in the building farm 20 using the collected sensor data by driving the growth management S / W 43a, which is artificial intelligence software, To the remote integrated control center 50, the worker terminal 60, and the mobile device 70.

The statistical analysis module 44 stores the collected sensor data in the database 41i and then generates a provided report form 44a and transmits the collected report data to the remote integrated control center 50, Device 70 as shown in FIG.

In addition, the statistical analysis module 44 may store sensor data, integrated control details, growth management details, growth standard information, and growth statistics in the database 41i.

FIG. 2 is a diagram illustrating a Recirculating Aquaculture System (RAS) sensing point used in the artificial intelligence integrated management system through big data and artificial intelligence machine learning according to an embodiment of the present invention. 2, the building farm 20 includes a plurality of breeding tanks 21 corresponding to Aquarium, a cleaner 21a provided in each breeding tanks 21, and a circulation corresponding to the recirculating aquaculture system (RAS) A filter tank 22, a storage tank 23, an electric boiler 24a, an oil boiler 24b, and an oxygen, pH, and DO controller 25.

The data acquisition module 41 collects the temperature, pH, and DO sensor data at the first sensing point p1 of the breeding tank 21 and collects the temperature and flow sensor data at the second sensing point of the breeding water tank 21 The data collection module 41 can collect the data.

On the other hand, the oxygen, pH, and DO (Oxygen) 25 connected to the second sensing point p2 are controlled by the integrated control module 42 and / or the growth management module 43 The other end of the oxygen, pH, and DO controller 25 is connected to the storage tank 23 so that the oxygen is stored in the storage tank 23 from the storage tank 23, And feedback control on the temperature and flow rate provided to the heat exchanger 21 may be performed.

More specifically regarding the feedback control, the electric boiler 24a, the oil boiler 24b are connected to the storage tank 23 under the control of the integrated control module 42 and / or the growth management module 43, A feedback control for the temperature and the flow rate supplied to the breeding water tank 21 via the oxygen, pH, DO controller 25 connected to the storage tank 23, Can be performed automatically.

The circulation filtration tank 22 is composed of a drum screen 22a, a skimmer 22b, a stationary phase filtration tank 22c, a fluid phase filtration tank 22d and a water quality adjustment tank 22e, The protein water and the like are decomposed through the skimmer 22b and the foreign substances are filtered by the fixed phase filtration tank 22c and the fluidized phase filtration tank 22d and then supplied to the water quality adjustment tank 22e . Here, the water quality adjusting tank 22e can provide a structure by which the temperature sensor data can be collected by the data collection module 41 at a sensing point flowing from the fluidized-bed filtration tank 22d. The water quality control tank 22e can return the stored water to the storage tank 23 under the control of the integrated control module 42. [

More specifically, the solid material is removed by a drum screen 22a provided at one side of the raising tank 21, and microorganisms in the aquaculture water are removed through a sterilizer (not shown) at the other side. Real-time acquisition and processing by the smart farm integrated management server 40 can be performed on the turbidity of water, the concentration of nutrients in the aquaculture water, and the information of the removed microorganism species.

In addition, organic matter is removed by a skimmer 22b provided at one side of the drum screen 22a, and a smart farm integrated management automation management server (hereinafter, referred to as " smart farm management system ") for information on the removed organic matter concentration, nutrients, hydrogen sulfide, ammonia, 40 can be obtained and processed in real time. Then, ammonia and nitrate are removed from the fixed phase filtration tank 22c and the fluidized-bed filtration tank 22d, which can be formed by a biological and / or physical filtration tank provided at one side of the skimmer 22b, and concentration information of the ammonia and the nitrate removed Real-time acquisition and processing by the smart farm management server 40 can be performed.

On the other hand, the heat pump 10 has a sensing point capable of collecting temperature, flow rate, pressure sensor data, and other status data by the data collection module 41 under the control of the integrated control module 42, By supplying power to the storage tank 23 and the heat storage unit 30 by supplying power to the storage tank 23 and the heat storage unit 30, In one embodiment of the present invention, the breeding water can be heated to 25 캜 to 80 캜 by the heat pump 10.

FIG. 3 is a diagram showing concrete components for monitoring sensor data of the data collection module 41 among the artificial intelligence integrated management system through the big data and the AI learning. Referring to FIG. 3, the data collection module 41 may be divided into a sensor control part and a data collection engine & monitoring part.

The sensor control part includes a temperature sensor 41a, a water flow sensor 41b, a pH sensor, a DO sensor 41c, a pressure sensor 41b, (41d), an adapter (41e), and a sensor data collection engine (41g).

The temperature sensor 41a is connected to the inside of the breeding water tank 21 and the culture water inflow region, the water quality control tank 22e, and the storage tank 23 under the control of the integrated control module 42, An area connected to the electric boiler 24a and the oil boiler 24b in the storage tank 23, an area flowing out from the storage tank 23 to the heat delivering device 30, a storage tank 23, the temperature sensor data for an area flowing out to the oxygen, pH, DO controller (Oxygen, pH, DO Control) 25, the heat carrier 30 and the outflow area of the heat pump 10 are measured, And can be provided to the Adouino 41e.

The water flow sensor 41b is controlled by the integrated control module 42 to control the oxygen concentration in the culture water inflow region of the breeding water tank 21 and oxygen, pH, DO controller (oxygen, pH, DO An area connected to the storage tank 23 and the electric boiler 24a and the oil boiler 24b, an area to be discharged to the heat delivery unit 23, It is possible to measure the flow sensor data for the flow-in or flow-out region of the apparatus 30, and then provide it to the arduino 41e.

The pH and the DO sensor 41c are used to control the pH of the water in the breeding water tank 21 and the pH of the region flowing out from the DO controller 25 to the breeding water tank 21, DO sensor data may be measured and then provided to the arduino 41e.

The pressure sensor 41d may measure the pressure inside the heat pump 10 and the pressure sensor data inside the heat carrier 30 and then provide the pressure sensor 41e with the pressure sensor data.

The adunino 41e is an apparatus control substrate which is under the control of the sensor data collection engine 41g and is an open source system and includes a temperature sensor 41a, a flow sensor 41b, A DO sensor 41c, a pressure sensor 41d, and other devices such as sensors and components.

The sensor data collection engine 41g may forward the sensor data collected via the adinino 41e to the Data Collect Engine & Monitoring Part.

The Data Collect Engine & Monitoring Part may comprise a sensor data collection agent 41f, a monitoring module 41h and a database 41i.

The data collection agent 41f graphically displays sensor data for each component into a user interface screen and transmits the data to the integrated control center 50, the worker terminal 60, and the mobile device 70 via the monitoring module 41h, And the sensor data for each component can be stored in the database 41i.

Here, the database 41i may mean functional and structural combination of software and hardware for storing information corresponding to each database. The database 41i may be implemented as at least one table, and may further include a separate DBMS (Database Management System) for searching, storing, and managing information stored in the database. Also, it can be implemented in various ways such as a linked-list, a tree, and a relational database, and includes all data storage media and data structures capable of storing information corresponding to a database.

FIG. 4 is a block diagram showing an integrated control dashboard user interface (UI) provided by the integrated management center 40 of the integrated farm management server 40 in the integrated management system of artificial intelligence through big data and artificial intelligence machine learning according to the embodiment of the present invention. (Hereinafter referred to as "UI") screen. 4, the smart farm integrated management automation management server 40 includes sensor data such as a breeding water tank 21, a circulation filtration tank 22, a storage tank 23, a heat pump 10, a heat delivery device 30, And state information to the integrated control center 50 through the network.

FIG. 5 is a block diagram showing an integrated management software (S) for driving the integrated control module 42 in the smart farm integrated management management server 40 among the integrated intelligent management system of artificial intelligence through big data and artificial intelligence machine learning according to the embodiment of the present invention. / W) 42a to the integrated control center 50. As shown in FIG. More specifically, FIG. 5A shows a UI screen for integrated monitoring, FIG. 5B shows a UI screen of a heat pump, FIG. 5C shows a UI screen of a building style control, and FIG.

FIG. 6 is a view showing an integrated management management mobile application UI screen provided to the mobile device 70 in the smart farm integration management server 40 among the artificial intelligence integrated management system through the big data and artificial intelligence machine learning according to the embodiment of the present invention Fig.

6B shows the integrated monitoring UI screen, FIG. 6C shows the heat pump UI screen, FIG. 6D shows the thermal courier UI screen, and FIG. 6e represents a building style UI screen.

FIG. 7 is a conceptual diagram illustrating practical application of fusion fusion of building style using heat energy and ICT technology, in addition to the artificial intelligence integrated management system through the big data and artificial intelligence machine learning according to the embodiment of the present invention. 7, the ICT-based aquaculture growth environment optimization control and flow control (oxygen consumption rate estimation (prediction of growth activities such as eating and sleeping conditions)), light control (optimization of the growth environment for each species) (Temperature, oxygen, CO2, DO, TGP, turbidity, etc.) can be enabled.

In addition, the present invention stores sensor data, integrated control details, growth management details, growth standard information, and growth statistics in real time in the database 41i and machine-learns the growth status and the shipment status big data information of the fish, And the parenting environment system can be used as an integrated intelligent automation management system that creates an optimization environment on its own.

8 is a diagram illustrating an artificial intelligent machine learning concept in an artificial intelligence integrated management system through big data and artificial intelligence machine learning according to an embodiment of the present invention. Referring to FIG. 8, the AI S / W can derive an intermediate optimal value and a final optimal value for the collected data. And where each collected data can be production, momentum, texture, disease, temperature, dissolved oxygen, pH, ammonia, and roughness.

In other words, in order to derive the production management data of the smart farm, that is, the optimal growth conditions for each fish species, systematically managing the production quantity of fish, momentum of fish, meat quality (texture) of fish and disease condition of fish, The data is stored for a long period of time to determine whether the meat is in good condition, that is, data such as temperature, pH, and dissolved oxygen amount, while the maximum production is being made. The optimum growth conditions are derived using intelligent learning algorithms.

These artificial intelligence algorithms derive water quality optimization, food supply optimization, and oxygen supply optimization. The important data are water temperature, dissolved oxygen, pH, ammonia, and illumination. We derive the midpoint optimal value by the algorithm and then implement the artificial intelligence algorithm of the smart farm in the form of deriving the optimal value by the artificial intelligence learning algorithm.

The present invention can also be embodied as computer-readable codes on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.

Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device and the like, and also implemented in the form of a carrier wave (for example, transmission over the Internet) .

The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And functional programs, codes, and code segments for implementing the present invention can be easily inferred by programmers skilled in the art to which the present invention pertains.

As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms have been used, they have been used only in a general sense to easily describe the technical contents of the present invention and to facilitate understanding of the invention , And are not intended to limit the scope of the present invention. It is to be understood by those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

10: Heat pump
20: Building farm
21: Breeding tank
21a: Cleaner
22: circulation filtration tank
23: Storage tank
24a: Electric boiler
24b: Oil boiler
25: oxygen, pH, DO controller (Oxygen, pH, DO Control)
30: Heat delivery unit
40: Smart farm integrated management automation management server
41: Data acquisition module
41a: Temperature sensor (Temp sensor)
41b: Water Flow Sensor
41c: pH, DO sensor (pH, DO sensor)
41d: Pressure sensor
41e: Arduino
41g: Sensor data collection engine
41f: Sensor data collection agent
41h: Monitoring module
41i: Database
42: Integrated control module
42a: Integrated control S / W
43: Growth management module
43a: Growth management S / W
44: Statistical analysis module
44a: Report Form
50: Integrated Control Center
60: worker terminal
70: Mobile device

Claims (6)

A heat pump 10, a building farm 20, a heat delivery unit 30, a smart farm integration management server 40, an integrated control center 50, a worker terminal 60 and a mobile device 70, 1. An artificial intelligence integrated management system using big data and artificial intelligence machine learning using an artificial intelligence method for continuously managing various sensor data for a building farm (20)
A heat pump 10 for transmitting temperature, flow rate, and pressure sensor data to the smart farm integrated management automation management server 40;
A building farm 20 for transmitting temperature, pH, dissolved oxygen (hereinafter, referred to as "DO") and flow sensor data to the smart farm integrated management automation management server 40; (30) for transmitting temperature, flow rate and pressure sensor data to the smart farm integration automated management server (40); / RTI >
The data collection module 41 of the smart farm integrated management automation management server 40 drives the growth management software 43a as artificial intelligence software and provides each collected sensor data to the integrated control module 42, To the remote integrated control center 50, the worker terminal 60, and the mobile device 70, a comprehensive control of the building 10, the building farm 20, and the heat delivery device 30,
The building farm 20 includes a plurality of breeding tanks 21 corresponding to Aquarium, a cleaner 21a provided in each breeding tanks 21, a circulation filtration tank 22 corresponding to a recirculating aquaculture system (RAS) A tank 23, an electric boiler 24a, an oil boiler 24b, and an oxygen, pH, DO controller 25,
The circulation filtration tank 22 is composed of a drum screen 22a, a skimmer 22b, a stationary phase filtration tank 22c, a fluid phase filtration tank 22d and a water quality adjustment tank 22e, 21 are supplied to the water quality adjusting tank 22e after filtering the foreign matter by means of the fixed phase filtration tank 22c and the fluidized phase filtration tank 22d and the proteins and the like are decomposed through the skimmer 22b, The intelligent algorithm first derives the optimization of water quality, optimization of food supply, optimization of oxygen supply, and optimization of environmental management for each stage of growth. The data of water temperature, dissolved oxygen, pH, ammonia, And then, the artificial intelligence algorithm of the smart farm is implemented by deriving the final optimal value by the artificial intelligence learning algorithm,
The smart farm integrated management automation management server 40,
The growth management S / W 43a, which is artificial intelligence software, is operated to manage the growth of fish cultured in the building farm 20 using the collected sensor data, and the managed details are transmitted to the remote control center 50, A growth management module 43 provided to the worker terminal 60 and the mobile device 70; The collected sensor data is stored in the database 41i and then the provided report form 44a is generated and stored in the database 41i so that statistical analysis provided to the remote integrated control center 50, the worker terminal 60, Module 44; Further comprising:
The statistical analysis module (44)
Sensor data, integrated control history, growth management history, growth standard information and growth statistics are stored in the database 41i, and the growth condition and the shipment status of the cultured fish are machine learning program, Create,
An artificial intelligence S / W that derives an intermediate optimal value and a final optimal value for collected data; And the collected data may include production amount, momentum, meat texture, disease, water temperature, dissolved oxygen, pH, ammonia, and roughness,
The data collection module (41)
Sensor control parts and data acquisition engines & monitoring parts,
The sensor control part includes:
A temperature sensor 41a, a water flow sensor 41b, a pH sensor, a DO sensor 41c, a pressure sensor 41d, an Adouino 41e, And a sensor data collection engine 41g,
The temperature sensor (41a)
The inflow water area entering from the faucet water inflow area, the water quality control tank 22e, and the water tank zone information 22e from the faucet inflow area and the storage tank 23 under the control of the integrated control module 42, An area connected to the electric boiler 24a and the oil boiler 24b in the tank 23, an area flowing out from the storage tank 23 to the heat delivery device 30, Temperature sensor data for the outflow region of the heat pump 10, the Oxygen, the pH, the DO control 25, the heat carrier 30, and the outflow region of the heat pump 10 are measured and provided to the Arduino 41e,
The flow sensor 41b,
A region flowing out from the storage tank 23 to the oxygen, the pH, the DO controller (Oxygen, pH, DO Control) 25 in the culture water inflow region of the breeding water tank 21 under the control of the integrated control module 42, An area connected to the storage tank 23, the electric boiler 24a, and the oil boiler 24b, an area connected to the heat pump unit 30, a region connected to the heat pump unit 30, After measuring the flow sensor data, it is provided to the arduino 41e,
The pH, DO sensor (pH, DO sensor) 41c
The pH and DO sensor data of the area flowing into the breeding tank 21 from the inside of the breeding tank 21 and the pH, DO controller (Oxygen, pH, DO Control) 25 are measured, Provide,
The pressure sensor (41d)
The pressure inside the heat pump 10 and the pressure sensor data inside the heat delivery device 30 are measured and provided to the adinino 41e,
The Arduino 41e is an apparatus control substrate under the control of the sensor data collection engine 41g and is an open source system. The Arduino 41e includes a temperature sensor 41a, a flow sensor 41b, A DO sensor 41c, and a pressure sensor 41d,
The sensor data collection engine 41g,
And the sensor data collected through the Adouino (41e) is transmitted to the data collection engine & monitoring part.
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