KR20210149623A - VR-based immersive smart farm research system - Google Patents

Abstract

The present invention relates to a VR-based immersive smart farm research system. With the present invention, a VR-based virtual smart farm for smart farm research is implemented in connection to a real smart farm. As a result, the real smart farm environments can be reflected, a smart farm-controllable implementation can be performed, and a more immersive research environment can be provided. The present invention includes: at least one room-temperature room as a crop cultivation space where an image collection device for internal imaging is installed along with environmental information collection devices collecting environmental information for crop cultivation, room-temperature room information including the environmental information and the image information is generated, and an environment creation device is installed to create an environment required for crop cultivation; a room-temperature room server receiving the room-temperature room information on each room-temperature room in connection to the at least one room-temperature room and controlling the environment creation device in accordance with the received room-temperature room information to perform crop cultivation environment control; a VR server receiving the room-temperature room information in connection to the room-temperature room server, implementing a virtual greenhouse interface by reflecting the received room-temperature room information, and providing a room-temperature room control module and a simulation module based on the implemented virtual greenhouse interface; and a VR device accessing the VR server to input the execution of the room-temperature room control module and the simulation module and controlling the room-temperature room or executing a smart farm simulation reflecting the room-temperature room information in accordance with the execution-input module.

Description

VR-based immersive smart farm research system

The present invention relates to a VR-based immersive smart farm research system, and more specifically, in realizing a VR-based virtual smart farm for smart farm research, the actual environment of the smart farm is reflected by interworking with the real smart farm, It relates to a VR-based immersive smart farm research system that is implemented to control the smart farm and can provide a more realistic research environment.

In general, smart farm refers to an intelligent system by combining information and communication technology (ICT) in the production, processing, and distribution stages of agriculture, forestry, livestock, and marine products. It properly maintains and manages the growing environment of crops, livestock, and aquatic products, and it can be automatically managed remotely with a PC or smartphone, so it has the advantage of increasing production efficiency as well as convenience.

A smart farm research system is being developed that provides a virtual greenhouse for learning and research in order to understand, learn, and research such a smart farm. It was not modeled based on the environmental data used, but was built to provide the service according to a scenario that the developer had set in advance.

The present invention is proposed to solve the above problems, and in implementing a VR-based virtual smart farm for smart farm research, it interlocks with the real smart farm to reflect the real environment of the smart farm, and furthermore, the linked smart farm The purpose is to provide a VR-based immersive smart farm research system that is implemented to control the farm, enhances immersion and understanding of smart farms, and provides a realistic research environment for structural analysis and crop growth process. put

A VR-based immersive smart farm research system according to an embodiment of the present invention for solving the above problems is a space for growing crops, and a plurality of environmental information collecting devices that collect environmental information necessary for growing crops and the inside are photographed at least one room temperature room in which an image collecting device is installed to generate room temperature room information including environmental information and image information, and an environment creation device for creating an environment necessary for growing crops; a room temperature room server interlocking with the one or more room temperature rooms to receive room temperature room information for each room temperature room, and controlling an environment preparation device according to the received room temperature room information to control a crop cultivation environment; A VR server that interworks with the room temperature room server to receive room temperature room information, implements a virtual greenhouse interface by reflecting the received room temperature room information, and provides a room temperature room control module and a simulation module based on the implemented virtual greenhouse interface; Including a VR device that can access the VR server and input the execution of a room temperature room control module and a simulation module, and control the room temperature room according to the inputted module or perform a smart farm simulation in which room temperature room information is reflected can be configured.

Here, the room temperature room server may include: a storage unit for receiving and storing room temperature room information from the room temperature room; It includes an artificial intelligence module, and generates a growth model of cultivated crops by stating the room temperature room information stored in the storage unit through the artificial intelligence module, and analyzes the correlation between the growth status of cultivated crops and environmental information through the growth model and a control unit that transmits a control signal to an environment creating device to achieve an optimal growth state based on the correlation between the growth state of the cultivated crop analyzed by the growth state analyzer and environmental information. can

In addition, the artificial intelligence module, the information statistical step of stating the room temperature room information stored in the storage unit; a neural network passing step of forward propagating a multi-perceptron neural network using the environmental factors of the growth state and environmental information statistical in the information statistics step as input values; The error correction step of correcting the error by back propagation of the output value output through the multi-perceptron neural network and the forward propagation of the neural network passing step and back propagation of the error correction step are repeatedly performed to learn, environment Including a learning-result derivation step of deriving an optimal growth state according to the information, it may be configured to analyze a correlation between the growth state and environmental information.

In addition, the back propagation of the error correction step may be a Levenberg-Marquardt reverse propagation.

In addition, the VR server implements a virtual greenhouse based on the image information of the room temperature information received from the room temperature room server, and provides real-time or set-time environment information to the virtual greenhouse implemented according to the module selection of the VR device. a virtual greenhouse interface implementation unit that reflects and provides an interface to the selected module; Upon input of the execution input of the room temperature room control module of the VR device, a control interface reflecting real-time environment information is provided from the virtual greenhouse interface implementation unit, and the room temperature room control module synchronized so that the provided control interface can be executed in the VR device is converted to the VR device. a room temperature room control unit that transmits and transmits to a room temperature room server when a control signal for the environment creation device is input from the VR device; According to the simulation module execution input of the VR device, a prediction simulation module for predicting changes in the environment in the room temperature room based on the data analyzed by the artificial intelligence module is provided, or in real time or at a set time point from the virtual greenhouse interface implementation unit. A simulation execution unit that receives a cultivation simulation interface reflecting environmental information and provides it to a VR device in synchronization with a cultivation simulation module capable of cultivation experience It may be configured to include a guide that provides a visual or audio guide module to the interface provided at the time.

In addition, when a connection request is generated from the VR device, the VR server includes a connection authentication unit that grants access to each module of the VR server differently according to the identification code requesting the connection to allow access to the VR device. It may be configured to further include.

In addition, the VR server may be connected to another VR server or to an external network, and further includes an external connection unit for storing information about a specific room temperature room, and a terminal or device connected to another VR server through the external connection unit It can share cultivation information with terminals or devices that access external networks, and can be configured to observe a specific room temperature room.

In addition, the prediction simulation module may provide statistical information obtained by graphing the room temperature room information statistics by the artificial intelligence module together.

In addition, the room temperature room server further includes a harvest guide unit that tracks harvestable crops using room temperature room information through the artificial intelligence module, and transmits a harvest possibility notification to a connected terminal or device when harvestable crops are tracked can do.

The VR-based immersive smart farm research system according to an embodiment of the present invention interworks with the real smart farm to reflect the real environment of the smart farm in realizing a VR-based virtual smart farm for smart farm research. You can maximize your emotions and increase your understanding of smart farms.

In addition, the VR-based immersive smart farm research system according to an embodiment of the present invention is implemented to control the interlocked smart farm, has the utility of conducting research and crop cultivation in parallel, and the management of the smart farm is easy. it can be easy

In addition, the above-mentioned effects according to the embodiments of the present invention are not limited to the described content, and may further include all effects predictable from the specification and drawings.

1 is a block diagram showing the configuration of a VR-based immersive smart farm research system according to an embodiment of the present invention.
FIG. 2 is a block diagram showing the configuration of a room temperature room, which is one configuration of the VR-based immersive smart farm research system of FIG. 1 .
3 is a block diagram illustrating the configuration of a room temperature room server, which is one configuration of the VR-based immersive smart farm research system of FIG. 1 .
4 is a flowchart illustrating a process in which the artificial intelligence module of the growth state analysis unit in the room temperature room server of FIG. 3 analyzes the growth state.
5 is a block diagram illustrating the configuration of a VR server, which is one configuration of the VR-based immersive smart farm research system of FIG. 1 .
6 is a block diagram illustrating a detailed configuration of the simulation module of FIG. 5 .

Hereinafter, the description of the present invention with reference to the drawings is not limited to specific embodiments, and various modifications may be made and various embodiments may be provided. In addition, it should be understood that the contents described below include all transformations, equivalents, and substitutes included in the spirit and scope of the present invention.

In the following description, terms such as 1st, 2nd, etc. are terms used to describe various components, meanings are not limited thereto, and are used only for the purpose of distinguishing one component from other components.

Like reference numbers used throughout this specification refer to like elements.

As used herein, the singular expression includes the plural expression unless the context clearly dictates otherwise. In addition, terms such as "comprises", "comprises" or "have" described below are intended to designate the existence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification. It should be construed as not precluding the possibility of addition or existence of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

In addition, terms such as “…unit”, “…group”, “…module”, etc. described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software. can

Unless defined otherwise, all terms used herein, including technical and 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 a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

Hereinafter, a VR-based immersive smart farm research system according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing the configuration of a VR-based immersive smart farm research system according to an embodiment of the present invention, and FIG. 2 is a room temperature room that is a configuration of the VR-based immersive smart farm research system of FIG. It is a block diagram showing the configuration, and FIG. 3 is a block diagram showing the configuration of a room temperature room server, which is one configuration of the VR-based immersive smart farm research system of FIG. 1 .

In addition, FIG. 4 is a flowchart illustrating a process in which the artificial intelligence module of the growth state analysis unit in the room temperature room server of FIG. 3 analyzes the growth state, and FIG. 5 is a configuration of the VR-based immersive smart farm research system of FIG. It is a block diagram showing the configuration of the in-VR server, and FIG. 6 is a block diagram showing the detailed configuration of the simulation module of FIG. 5 .

1 to 6 , a VR-based immersive smart farm research system according to an embodiment of the present invention includes a room temperature room 10 , a room temperature room server 20 , a VR server 30 , and a VR device 40 . ) may be included.

Specifically, the room temperature room 10 collectively refers to a space for growing crops, for example, any space in which crops can be grown, such as a plastic house or a container, can be used. In addition, the room temperature room 10 is an actual greenhouse serving as a model to implement a virtual greenhouse to be described later, and may be provided in the form of a smart farm.

Smart farm refers to an intelligent system by grafting information and communication technology (ICT) in the production, processing, and distribution stages of agriculture, forestry, livestock, and aquatic products. Devices including the environmental information collecting device 11 , the image collecting device 12 , and the environment creating device 13 may be installed.

Here, the environmental information collecting device 11 is a device that collects environmental information necessary for crop cultivation inside and outside the room temperature room 10, and includes a temperature sensor, a humidity sensor, a light quantity sensor, a carbon dioxide sensor, a soil sensor, an EC measurement sensor, It is composed of an aggregate of various sensors installed in various locations inside or outside the room temperature room 10, such as moisture sensors, so that various environments such as temperature, humidity, light quantity, carbon dioxide, soil pH, water supply/drainage EC, and moisture content required for crop cultivation information can be collected.

In addition, the image collection device 12 is a device for photographing the inside of the room temperature room 10 , and photographing the internal structure of the room temperature room to virtualize the room temperature room 10 , or changing the state of crops in the room temperature room 10 . It is possible to generate image information while photographing the inside of the room temperature room 10 , including both a photographing device for photographing, and a monitoring device such as a CCTV that detects movement inside the room temperature room.

At this time, for better understanding, the image collection device 12 has only been illustrated to photograph the inside of the room temperature room 10 , but in the case of the monitoring device, it is also provided outside the room temperature room 10 to photograph the outside of the room temperature room 10 .

The environment creating device 13 is installed inside the room temperature room 10 to create an environment necessary for crop cultivation, and includes an air circulation device, a heating device, a lighting device, a ventilation device, a water supply device, a nutrient solution supply device, a pest control device, It may consist of various devices for maintaining or changing the environment necessary for crop cultivation, such as a light shield, and although not described, any device that maintains or changes the internal environment of the room temperature room 10 necessary for crop cultivation may be included.

The room temperature room 10 in which the environmental information collecting device 11, the image collecting device 12, the environment creating device 13, etc. are installed may be provided singly, but preferably a plurality of room temperature room servers 20 ) can be connected to each other, and room temperature room information including environmental information and image information can be collected for each room temperature room 10 .

The room temperature room information including the environmental information and image information collected through the environmental information collecting device 11 and the image collecting device 12 of each room temperature room 10 is transmitted to the room temperature room server ( 20), and the room temperature room server 20 controls the environment creating device 13 of each room temperature room 10 based on the transmitted room temperature room server 20 to control the environment inside the room temperature room 10. By variously controlling, the smart farm can be implemented in the room temperature room 10 .

At this time, although not shown in the drawings, the room temperature room 10 includes a communication module to transmit room temperature room information, and a repeater may be configured to expand the communication sensitivity or communication range of the communication module, When a plurality of room temperature rooms are provided, a router interworking with each communication module may be configured to collect and transmit each information to the room temperature room server 20, and a temporary information storage may be provided to prevent information loss. have.

That is, while the room temperature room information is collected and stored in the temporary information storage, it can be transmitted to the room temperature room server 20 via a repeater, a router, or the like through a communication module.

In addition, each room temperature room 10 may be controlled by configuring a simple control module (not shown) for simple or repetitive controls before going through the control of the room temperature room server 20 . That is, the control of each room temperature room 10 is performed by the simple control module, but if necessary, it is transmitted to the room temperature room server 20 so that the room temperature room server 20 directly controls the environment creating device 13 or the room temperature room server ( 20) may be configured in such a way that a signal is transmitted to the simple control module to control the environment creating device 13 .

However, the repeater, router, temporary information storage, simple control module, etc. which are not shown in the drawings are means that can be added or subtracted depending on the environment in which the present invention is made, and are not necessarily provided.

The room temperature room server 20 may include a storage unit 21 , a growth state analysis unit 22 , and a control unit 23 .

Specifically, the storage unit 21 may be configured to receive and store room temperature room information transmitted from the room temperature room. The stored room temperature room information may be used when the growth state analyzer 22 analyzes the correlation between the growth state of the cultivated crop and the environmental information.

The growth state analysis unit 22 may be configured to include an artificial intelligence module 22a. Here, the artificial intelligence module 22a may generate a growth model of a cultivated crop by stating the room temperature room information stored in the storage unit 21 . In addition, the artificial intelligence module 22a may analyze the correlation between the growth state of the cultivated crop and environmental information through the generated growth model.

More specifically, the artificial intelligence module 22a may be configured to statistically store room temperature room information stored in the storage unit 21 through the information statistical step S10. Here, the statistics list the growth changes of cultivated crops photographed through the image collecting device 12 in the room temperature room 10 in time series, and the diameter of the cultivated crops listed in time series, the height of the flower bed, the diameter of the base, the flowering rate, Growth status such as elongation rate and fruit enlargement can be calculated numerically and statistically.

Statistical models calculated statistically are learned by comparing them with actual observations, and after error correction, a statistical model close to the actual observations can be created.

When statistics on the growth state are completed in the information communication step (S10) and the statistical model is determined, the artificial intelligence module 22a performs the growth state and each growth statistically in the information communication step (S10) through the neural network passing step (S20) Through forward propagation of an input value using environmental information about the state, that is, temperature, humidity, light quantity, soil pH, supply/drain EC, moisture content, etc. as environmental factors in the room temperature room 10, forward propagation passes through the multi-perceptron neural network can do it In this process, the artificial intelligence module 22a may derive an initial output value for identifying the correlation between the growth state and environmental information.

When the first output value for the correlation between the growth state and environmental information is derived through the neural network passing step ( S20 ), the artificial intelligence module ( 22a ) may perform error correction through the error correction step ( S30 ). In this case, the artificial intelligence module 22a may correct the error by passing the initial output value through the multi-perceptron neural network by back propagation.

Here, the backpropagation may preferably be a Levenberg-Marquardt backpile, but is not necessarily limited thereto.

The artificial intelligence module 22a can finally learn while repeatedly performing the forward propagation and backpropagation described above in the multi-perceptron neural network through the learning-result derivation step (S40), and through this, the optimal growth according to environmental information By deriving the state, it can be identified by analyzing the correlation between the environmental information and the growth state.

The control unit 23 may transmit a control signal to the environment creating device 13 to achieve an optimal growth state based on the correlation between the growth state of the cultivated crop analyzed by the growth state analysis unit 22 and the environmental information. Through this, the VR-based immersive smart farm research system of the present invention can configure a smart farm with the best quality of cultivated crops in the smart farm configuration.

On the other hand, the present invention provides virtual reality (VR) based on the smart farm configuration described above, and simulates a smart farm consisting of a room temperature room 10 and a room temperature room server 20 through virtual reality (VR). It can be configured to research and control the smart farm.

Here, it is expressed as virtual reality (VR) to help understand, but augmented reality (AR), mixed reality (MR), and extended reality (eXpended Reality) that are implemented based on virtual reality can all mean That is, it can be implemented as one of virtual reality, augmented reality, mixed reality, and extended reality. Hereinafter, it will be explained based on the most basic virtual reality (VR) for easy understanding.

The above-described VR server 30 and VR device 40 are components for performing a smart farm simulation and smart farm control.

Specifically, the VR server 30 may be interlocked with the room temperature room server 20 to receive room temperature room information. Here, the VR server 30 may implement a virtual greenhouse interface by reflecting the received room temperature room information, and may provide a room temperature room control module 32a and a simulation module 33a based on the implemented virtual greenhouse interface.

Here, the room temperature room control module 32a is a module configured to control the room temperature room 10 through the VR device 40, and the simulation module 33a is configured to use the VR device 40 for smart farm research or experience. It is a module capable of performing a prediction simulation for observing the predicted environmental change in the room temperature room 10 or a cultivation simulation capable of conducting a cultivation experience.

To this end, the VR server 30 may be configured to include a virtual greenhouse interface implementation unit 31 , a room temperature room control unit 32 , a simulation execution unit 33 , and a guide unit 34 .

Specifically, the virtual greenhouse interface implementation unit 31 may implement a virtual greenhouse based on the image information of the room temperature room information received from the room temperature room server 20 . In addition, the virtual greenhouse interface implementation unit 31 may provide an interface for the selected module by reflecting environmental information in real time or at a set time point in the virtual greenhouse implemented according to the module selection of the VR device 40 .

For example, when the VR device 40 selects to execute the room temperature room control module 32a, the virtual greenhouse interface implementation unit 31 receives the room temperature room 10 image information in real time, and interlocks the room temperature room 10 . It can be imaged or imaged as close to as possible, and it can be provided as a control interface by adding a virtual switch that can be controlled while reflecting environmental information in real time in the imaged state.

The room temperature room control unit 32 may be operated when the room temperature room control module 32a of the VR device 40 is executed, and receives a control interface in which real-time environment information is reflected from the virtual greenhouse interface implementation unit 31 to receive the VR device. It can be transmitted to the VR device 40 in synchronization with the room temperature room control module 32a so that it can be executed in the room temperature room.

Accordingly, when the control signal of the specific environment creation device 13 is input through the control interface reflected in the VR device 40 , the room temperature room control unit 32 receives the control signal and transmits it to the room temperature room server 20 to deliver the corresponding environment The composition device 13 may be controlled.

The simulation execution unit 33 may provide the prediction simulation module 33a-1 or the cultivation simulation module 33a-2 to the VR device 40 according to the execution input of the simulation module 33a of the VR device 40. can

Specifically, the prediction simulation module 33a-1 performs correlation analysis as well as the data analyzed by the artificial intelligence module 22a of the room temperature room server 20, that is, the data analyzed on the correlation between the growth state and the environmental information. It may be a module for predicting environmental changes in the room temperature room 10 based on the growth model or environmental information used for the .

At this time, the prediction of the environmental change in the room temperature room 10 of the simulation execution unit 33 is first predicted by the artificial intelligence module 22a, and the predicted information is received and configured by the prediction simulation module 33a-1 to form the VR device ( 40), but is not necessarily limited, and the simulation execution unit 33 receives the data required for predictive analysis from the artificial intelligence module 22a, stats them, and makes a direct prediction based on the statistical data. It can also be implemented in a way that configures the prediction simulation module 33a-1 by performing it.

That is, the simulation execution unit 33 receives the prediction information configured based on the environmental change prediction data in the room temperature room 10 from the artificial intelligence module 22a and synchronizes it with the prediction simulation module 33a-1 to the VR device 40 ), or receives only the data necessary for prediction from the artificial intelligence module 22a, and synchronizes it with the prediction simulation module 33a-1 that predicts the environmental change in the room temperature room 10 on its own to the VR device 40 It can be configured to pass to

On the other hand, the prediction simulation module 33a - 1 may be provided together with statistical information obtained by graphing room temperature room information statisticalized by the artificial intelligence module 22a when provided to the VR device 40 . Through this, the user (or researcher) can visually check the statistical information graphed when the prediction simulation module 33a-1 is executed through the VR device 40, and input a time point in the graph It is possible to easily check the environmental change prediction information in the room temperature room 10 .

The cultivation simulation module 33a-2 is a module implemented to experience cultivation for research or learning of the smart farm, and environmental information at a real time or at a set time may be reflected. That is, upon input of execution of the cultivation simulation module 33a - 2 in the VR device 40 , the simulation execution unit 33 provides a cultivation simulation interface in which real-time or set time environment information is reflected from the virtual greenhouse interface implementation unit 31 . It can be provided to the VR device 40 in synchronization with the cultivation simulation module 33a-2 that can receive and experience cultivation.

Through the cultivation simulation module 33a-2, a user (or a researcher) can conduct research on a smart farm by creating various situations. For example, the user may observe a change in the environment inside the room temperature room 10 at the time of the rain or observe a change in the state of a crop inside the room temperature room 10 . In addition, it is possible to observe or predict a change from the cultivation start date of the cultivated crop to 15 days from the current environment information reflected in real time.

In this case, the setting time and conditions of the environmental information of the cultivation simulation module 33a-2 can be set in various ways, and the growth state of the cultivated crops can be set in various ways, so that the research can be optimized.

On the other hand, the guide unit 34 according to a request from the VR device 40 or according to the setting, each module of the room temperature room control unit 32 or the simulation execution unit 33, that is, the room temperature room control module 32a, predictive simulation The module 33a-1, the cultivation simulation module 33a-2, etc. may be configured to provide a visual or audio guide module 34a to an interface provided at the time of execution. Through this, even a user who uses the VR device 40 for the first time may more easily get used to the use.

On the other hand, when a connection request is generated from the VR device 40, the VR server 30 grants different access rights to access each module of the VR server 30 according to the identification code requested to access the VR device 40. It may further include a connection authentication unit 35 that permits the connection.

Specifically, the access authentication unit 35 may transmit the authentication module 35a to the VR device 40 when the user wears the VR device 40 to undergo a user authentication process, and in this process, the user When you request access by entering a password, you can receive an identification code for the corresponding ID.

At this time, the access authentication unit 35 accesses each module of the VR server 30, that is, the room temperature room control module 32a, the prediction simulation module 33a-1, the cultivation simulation module 33a-2, etc. according to the identification code. Access to the VR device 40 may be permitted by granting different access rights.

For example, the room temperature room control module 32a can allow access only when an identification code registered as a smart farm researcher or room temperature room manager is connected, so that the general public other than the smart farm researcher or room temperature room manager can use the room temperature room 10 . It is possible to prevent the control of environmental changes of , and the general public can experience only permitted functions even in the use of the cultivation simulation module 33a - 2 .

Through this, the VR-based immersive smart farm research system of the present invention can form security so that researchers or room temperature room managers and ordinary people can be distinguished and perform functions suitable for each purpose.

In addition, the VR server 30 may be connected to another VR server 30 or an external network, and may further include an external connection unit 36 for storing information on a specific room temperature room 10 .

Through this, the user can share cultivation information with a terminal or device connected to another VR server 30 or a terminal or device connected to an external network. In addition, it may be configured to be able to observe a specific room temperature room (10).

For example, the user can transmit research results or questions to another VR server 30 through the external connection unit 36 to share them with other users, and to check research results or questions posted by other users. can In addition, the greenhouse information of other countries can be shared through an external network, and through this, it can be configured to observe the room temperature room 10 in a specific area, such as Almeria, Spain.

The VR device 40 connects to the VR server 30 and inputs the execution of the room temperature room control module 32a or simulation module 33a transmitted from the VR server 30, and according to the module to which the execution is inputted, the room temperature room (10) can be controlled or a smart farm simulation in which room temperature room information is reflected can be performed.

To this end, the VR device 40 may be configured to include a display device (not shown) through which the user can visually check the virtual greenhouse interface, and a control device (not shown) that can input and control the virtual greenhouse interface within the interface. However, the present invention is not limited thereto, and a gaze recognition module capable of tracking and inputting or controlling the user's gaze is provided in the display device, and thus the control device may not be provided.

Communication between the VR device 40 and the VR server 30 may preferably be implemented in 5G (5th Generation Mobile Telecommunication), but this is only exemplary and not limited, and various communication such as 3G, 4G, Wifi, Beacon, Zigbee, etc. method can be applied.

Here, the VR device 40 may be provided with a processing device such as a CPU, an MPU, an MCU, and a memory storage device, respectively, to implement edge computing in which each VR device 40 distributes and calculates data.

In addition, as shown in FIG. 3 , the room temperature room server 20 tracks harvestable crops using room temperature room information through the artificial intelligence module 22a, and when harvestable crops are tracked, harvested with a connected terminal or device. It may further include a harvest guide 24 for transmitting a possible notification.

That is, the artificial intelligence module 22a can grasp the cultivation state of the cultivated crop using the image information among the room temperature room information. In this process, it can determine whether it is within the harvest range, and when it falls within the harvest range, the harvest guide unit ( 24), it can be informed that harvesting is possible to a connected terminal or device. The notification may be, for example, visually or voice guidance, and is not limited to any specific form.

Although the embodiments of the present invention have been described above with reference to the accompanying drawings, those of ordinary skill in the art to which the present invention pertains can practice the present invention in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Accordingly, the embodiments described above are illustrative in all respects and not restrictive.

10: room temperature
11: Environmental information collection device
12: image acquisition device
13: environment creation device
20: room temperature server
21: storage
22: growth state analysis unit
22a: artificial intelligence module
23: control
24 : Harvest Information Department
30 : VR Server
31: virtual greenhouse interface implementation unit
32: room temperature room control unit
32a: room temperature room control module
33: simulation execution unit
33a: Simulation module
34: information department
34a: guidance module
35: access authentication unit
35a: authentication module
36: external connection part
40: VR device

Claims (9)

As a space for growing crops, a plurality of environmental information collecting devices that collect environmental information necessary for crop cultivation and an image collecting device for photographing the interior are installed to generate room temperature room information including environmental information and image information, and at least one room temperature room in which an environment facilitation device for creating an environment necessary for cultivation is installed;
a room temperature room server interlocking with the one or more room temperature rooms to receive room temperature room information for each room temperature room, and controlling an environment preparation device according to the received room temperature room information to control a crop cultivation environment;
A VR server that interworks with the room temperature room server to receive room temperature room information, implements a virtual greenhouse interface by reflecting the received room temperature room information, and provides a room temperature room control module and a simulation module based on the implemented virtual greenhouse interface;
A VR device capable of accessing the VR server and inputting execution of a room temperature room control module or simulation module, and controlling the room temperature room according to the inputted module or performing a smart farm simulation in which room temperature room information is reflected VR-based immersive smart farm research system.
The method of claim 1,
The room temperature room server,
a storage unit for receiving and storing room temperature room information from the room temperature room;
It includes an artificial intelligence module, and generates a growth model of cultivated crops by stating the room temperature room information stored in the storage unit through the artificial intelligence module, and analyzes the correlation between the growth status of cultivated crops and environmental information through the growth model a growth state analysis unit and
VR-based immersive smart farm study including a control unit that transmits a control signal to an environment creation device to achieve an optimal growth state based on the correlation between the growth state of the cultivated crop analyzed by the growth state analysis unit and environmental information system.
3. The method of claim 2,
The artificial intelligence module is
an information statistics step of stating room temperature room information stored in the storage unit;
a neural network passing step of forward propagating a multi-perceptron neural network using the environmental factors of the growth state and environmental information statistical in the information statistics step as input values;
an error correction step of correcting the error by back propagating the output value output through the multi-perceptron neural network; and
Including a learning-result derivation step of repeatedly performing the forward propagation of the neural network passing step and the backpropagation of the error correction step to learn, and deriving an optimal growth state according to environmental information,
VR-based immersive smart farm research system, characterized in that it is configured to analyze the correlation between growth state and environmental information.
4. The method of claim 3,
The back propagation of the error correction step is,
A VR-based immersive smart farm research system characterized by Levenberg-Marquardt backpropagation.
3. The method of claim 2,
The VR server,
The virtual greenhouse is implemented based on the image information of the room temperature room information received from the room temperature room server, and the real-time or set-time environment information is reflected in the virtual greenhouse implemented according to the module selection of the VR device to interface to the selected module. a virtual greenhouse interface implementation unit provided as
Upon input of the execution input of the room temperature room control module of the VR device, a control interface reflecting real-time environment information is provided from the virtual greenhouse interface implementation unit, and the room temperature room control module synchronized so that the provided control interface can be executed in the VR device is converted to the VR device. a room temperature room control unit that transmits and transmits to a room temperature room server when a control signal for the environment creation device is input from the VR device;
According to the simulation module execution input of the VR device, a prediction simulation module for predicting changes in the environment in the room temperature room based on the data analyzed by the artificial intelligence module is provided, or in real time or at a set time point from the virtual greenhouse interface implementation unit. A simulation execution unit that provides a cultivation simulation interface that reflects environmental information and synchronizes it with a cultivation simulation module where you can experience cultivation and provides it to the VR device;
A VR-based immersive smart farm research system comprising a guide that provides a visual or audio guide module to an interface provided when each module of the room temperature room control unit or simulation execution unit is executed according to a request or setting from the VR device.
6. The method of claim 5,
The VR server,
When a connection request occurs from the VR device, the VR-based realism further includes an access authentication unit that grants access to each module of the VR server differently to allow access to the VR device according to the identification code requested for access type smart farm research system.
6. The method of claim 5,
The VR server,
It is possible to connect to another VR server or to an external network, and further includes an external connection in which information about a specific room temperature is stored,
VR-based realism, characterized in that it can share cultivation information with a terminal or device connected to another VR server or a terminal or device connected to an external network through the external connection unit, and is configured to observe a specific room temperature room type smart farm research system.
6. The method of claim 5,
The prediction simulation module,
A VR-based immersive smart farm research system, characterized in that it provides statistical information obtained by graphing room temperature room information statistically by the artificial intelligence module.
3. The method of claim 2,
The room temperature room server,
A VR-based realistic smart farm further comprising a harvest guide that tracks harvestable crops using room temperature room information through the artificial intelligence module, and transmits a harvestable notification to a connected terminal or device when harvestable crops are tracked research system.

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