KR102204417B1 - System and method for contolling smart farms in open field and computer program for the same - Google Patents

Abstract

A system for controlling a smart farm for an open field may comprise: a database server configured to receive sensor data collected by one or more sensor node devices located in a preset management area of a smart farm from a gateway device corresponding to the management area; an analysis server configured to analyze the sensor data stored in the database server to generate analysis information; and a web service server configured to provide the analysis information to a user device so that the user device of a user of the smart farm can check the analysis information. The database server includes a time series database configured to selectively collect and store the sensor data received from the gateway device in a subscription method. According to the system, regional control can be realized through the gateway devices provided in each region of the smart farm. Efficient smart farm control can be realized through time-series database management of a subscription method, and the server load can be reduced.

Description

Smart farm control system and method for noji, and a computer program therefor {SYSTEM AND METHOD FOR CONTOLLING SMART FARMS IN OPEN FIELD AND COMPUTER PROGRAM FOR THE SAME}

Embodiments relate to a smart farm (smart farm) control system and method for the field and a computer program for the same. More specifically, the embodiments are equipped with a gateway device for each section of the smart farm to enable zone-specific control, and store the collected data in a time series database using the MQTT (Message Queue Telemetry Transport) protocol. It is about a smart farm control platform for the field that can deliver necessary information to users through web services based on this.

Smart farm is a farm that can properly maintain and manage the growing environment of crops or livestock remotely and automatically by combining information communication technology with existing farming technologies such as green houses and livestock. Refers to the technology involved. By using a smart farm, it is possible to improve the productivity and quality of agricultural products by creating an optimal growth environment based on data on the growth information of crops and environmental information.

In order to manage a smart farm by incorporating information and communication technology, a platform is required that allows users to access the data of the smart farm and read necessary contents. For example, Korean Patent Publication No. 10-2019-0057220 discloses a server platform for smart farm management.

However, since the conventional smart farm management platform disclosed in Korean Patent Publication No. 10-2019-0057220 searches for smart farms located in various regions from one server and matches them with consumers, smart farms are located in a wide area. If it is distributed, it is difficult to manage by region. In addition, in order to perform matching with a consumer in such a conventional smart farm management platform, smart farm-related information must be stored in a database. A large amount of sensor data generated from a large number of farms is accumulated in the database and necessary information is stored. There is a problem that excessive load occurs on the server side to search.

Unexamined Patent Publication No. 10-2019-0057220

According to an aspect of the present invention, a gateway device is provided for each section of a smart farm to enable zone-specific control, and data collected using a MQTT (Message Queue Telemetry Transport) protocol are time series. A smart farm control system and method for the field and a computer program for the same, which can store information in a database, deliver necessary information to users through web services based on this, and receive information necessary for smart farm control from users. Can provide.

The smart farm control system for an open field according to an embodiment of the present invention includes sensor data collected by one or more sensor node devices located in a preset management area of the smart farm corresponding to the management area. A database server configured to receive from a gateway device; An analysis server configured to generate analysis information by analyzing the sensor data stored in the database server; And a web service server configured to provide the analysis information to the user device so that the user device of the user of the smart farm can check the analysis information.

In this case, the database server includes a time series database configured to selectively collect and store the sensor data received from the gateway device in a subscription manner.

In one embodiment, the database server further includes a subscriber configured to collect a part of the sensor data in a subscription method using a Message Queue Telemetry Transport (MQTT) protocol and store it in the time series database.

In one embodiment, the web service server is further configured to receive control data for controlling the irrigation device to control the smart farm from the user device. In this case, the database server further includes a publisher configured to transmit the control data to the gateway device in an MQTT protocol publishing method.

The smart farm control system for a field according to an embodiment further includes the gateway device and the one or more sensor node devices configured to transmit the sensor data to the gateway device. In this case, each of the one or more sensor node devices may include a body configured to receive a communication module for performing communication with the gateway device, and a sensor module having one or more sensors for acquiring the sensor data; And a solar charging panel provided on the surface of the body and configured to supply power to the communication module and the sensor module.

In the smart farm control method for a field according to an embodiment, a database server of a smart farm control system for a field corresponds to the management area with sensor data collected by one or more sensor node devices located in a preset management area of the smart farm. Receiving from a gateway device; Selectively collecting, by the database server, the sensor data received from the gateway device in a subscription manner and storing it in a time series database of the database server; Generating, by an analysis server of the smart farm control system for the field, analysis information to be provided to a user of the smart farm by analyzing the sensor data stored in the database server; And providing, by the web service server of the smart farm control system for the field, the analysis information to a user device of a user of the smart farm.

In one embodiment, storing in the time series database includes the database server collecting a part of the sensor data through a subscription method using an MQTT protocol and storing it in the time series database.

A method for controlling a smart farm for a field according to an embodiment includes the steps of: receiving, by the web service server, control data for controlling an irrigation device to control the smart farm from the user device; And transmitting, by the database server, the control data to the gateway device by issuing an MQTT protocol.

In one embodiment, the generating of the analysis information comprises: generating, by the analysis server, crop modeling data based on the sensor data, the control data, and a user input for the crop condition received from the user. Includes.

The computer program according to an embodiment is for executing the smart farm control method for a field according to the above-described embodiments by being combined with hardware and may be stored in a computer-readable recording medium.

According to an embodiment of the present invention, according to a smart farm control system and method for a field, the environment data of the field is provided to the user, thereby enabling farming suitable for the actual environment and data-based precision. Agriculture can be carried out, and a farmer-centered platform can be provided through which farmers can directly input control methods and parameters.

In addition, the smart farm control system for a field according to an aspect of the present invention is a combination of a proximity wireless communication technology such as Bluetooth and a broadband communication technology, and reduces communication costs by using a proximity wireless communication technology, and It is possible to achieve price competitiveness by achieving the reduction of the price.

Furthermore, the sensor node device used with the smart farm control system for a field according to an aspect of the present invention is designed to be waterproof and prevented so that it can be installed in the open field, and a nearby gateway device and a Sensor data can be transmitted by performing communication. In addition, since the sensor node device is provided with a solar charging panel, it is possible to operate without separate charging, and by providing a sensor arranged according to the root depth of a breeding crop, it can be used to measure the growth environment of various breeding crops.

1 is a block diagram of a smart farm control system for a field according to an embodiment.
2A is a conceptual diagram illustrating communication between a smart farm and a server in a smart farm control system for a field according to an embodiment.
FIG. 2B is a conceptual diagram illustrating data transmission and reception between a gateway device of a smart farm and a user device in the smart farm control system for a field according to an embodiment.
3 is a perspective view of a sensor node device communicating with a smart farm control system for a field according to an embodiment.
4 is a schematic block diagram of a sensor node device shown in FIG. 3.
5 is a flowchart illustrating each step of a method for controlling a smart farm for a field according to an embodiment.
6 is a flow chart showing each step of a method for controlling a smart farm for a field according to another embodiment.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the drawings.

1 is a block diagram of a smart farm control system for a field according to an embodiment.

Referring to FIG. 1, the smart farm control system 3 for a field according to the present embodiment includes at least one located in each area (1, 2) of the smart farm to enable control based on information communication technology (Information Communication Technoloy). It is configured to communicate with devices.

Each area (1, 2) in the figure corresponds to a unit area of the smart farm operated by the same or different users (eg, farm manager) from each other. Each area (1, 2) has one or more sensor node devices (11-15, 21-25) for acquiring sensor data on the farm environment, and each area (1, 2) by acquiring sensor data from them. 2) Regional gateway devices 10 and 20 that enable each control may be located. In addition, in one embodiment, irrigation devices 19 and 29 for performing irrigation such as supplying raw water and supplying nutrient solutions in an automated manner may be further located in each region 1 and 2.

In addition, the smart farm control system 3 for a field may communicate with one or more user devices 4 to provide the collected smart farm information to a user. The user device 4 refers to a device used by a user who wants to remotely manage farming in one or more areas 1 and 2 of the smart farm by using the smart farm control system 3 for the field. In the drawings, the user device 4 is shown in the form of a notebook computer and a smartphone, but this is for illustration only, and the user device 4 is a mobile communication terminal, a personal computer, and a personal digital digital assistant (PDA). It may be implemented in the form of an arbitrary computing device such as a set-top box for an assistant, a tablet, or an Internet Protocol Television (IPTV).

In addition, in one embodiment, the smart farm control system 3 for the field is one or a plurality of external servers 5 to obtain environmental information (eg, weather, temperature, humidity data, etc.) affecting the growth of crops. You can also communicate with. For example, the external server 5 may be a Meteorological Agency web service server, but is not limited thereto. In addition, the number of user devices 4 and external servers 5 shown in the drawings is merely exemplary, and does not limit the actual number of devices or servers operating in connection with the smart farm control system 3 for a field. This will be readily understood by those skilled in the art.

In one embodiment, the smart farm control system 3 for a field includes a database (DB) server 31, an analysis server 33 and a web service server 32.

The devices described herein may be entirely hardware, or may have aspects that are partly hardware and partly software. For example, the smart farm control system 3 for the field and each system, device, server, and each module or unit included therein communicate with the smart farm control system 3 for the field, and provide data of a specific format and content in an electronic communication method. The device for receiving and software related thereto may be collectively referred to. In this specification, terms such as “unit”, “module”, “server”, “system”, “platform”, “device” or “terminal” are intended to refer to a combination of hardware and software driven by the hardware. do. For example, the hardware here may be a data processing device including a CPU or other processor. In addition, software driven by hardware may refer to an executing process, an object, an executable file, a thread of execution, a program, and the like.

In addition, in the present specification, each of the servers 31-33 or units constituting the smart farm control system 3 for a field is not intended to refer to separate components that are physically separated. That is, in FIG. 1, each of the servers 31-33 of the smart farm control system 3 for a field is shown as separate blocks that are distinguished from each other, but this makes the smart farm control system 3 for a field It is functionally classified by Depending on the embodiment, some or all of the above-described servers may be integrated into the same single device, or one or more servers may be implemented as separate devices that are physically separated from other servers. For example, each server of the smart farm control system 3 for a field may be components that are communicatively connected to each other in a distributed computing environment.

The DB server 31 is configured to receive sensor data of the sensor node devices 11-15 and 21-25 located in the corresponding area from the gateway devices 10 and 20 for each area 1 and 2 of the smart farm. . In one embodiment, the DB server 31 may collect sensor data in the time series DB in a subscription method using a messaging-based communication protocol, and control data received from the user device 4 is also the communication protocol. It can be transmitted to the gateway devices 10 and 20 in a publish method using.

For example, the DB server 31 may operate based on a MQTT (Message Queue Telemetry Transport) protocol, which will be described later with reference to FIGS. 2A and 2B.

The analysis server 33 serves to process the sensor data stored in the DB server 31 into analysis information for user confirmation and provide it to the web service server 32. At this time, the analysis information may be any type of information that allows the user to check the growing environment of the smart farm based on the sensor data. For example, the analysis information may be simple processing of the sensor data in a form that is easy for the user to check , Or may include data that is secondarily obtained by numerical calculation based on sensor data.

In one embodiment, the analysis server 33 includes a data collection unit 331 and a modeling generation unit 333. In addition, in one embodiment, the analysis server 33 further includes an error detection unit 332. Furthermore, in one embodiment, the analysis server 33 further includes a strategy generating unit 334. Specific operations of the units 331-334 constituting the analysis server 33 will be described in detail later with reference to FIG. 6.

By accessing the web service server 32 and the user device 4 to the smart farm control system 3 for outdoor use, analysis information based on sensor data can be checked, and if necessary, the irrigation device of the smart farm (19, 29) Provides a user interface for inputting control data for controlling, etc. That is, the web service server 32 is a server that provides a web page accessible by a web browser running on the user device 4 or an application (or app) running on the user device 4 It may be an application service server that communicates with.

The irrigation devices 19 and 29 are configured to enable remote control of operations while communicating with the smart farm control system 3 for the field. To this end, the irrigation devices 19 and 29 include a communication module such as a Bluetooth module capable of communicating with the gateway devices 10 and 20, and one or a plurality of valves that can be electronically controlled by control data received through the communication module ( Not shown), etc. may be included.

FIG. 2A is a conceptual diagram illustrating communication between a smart farm and a server in a smart farm control system for a field according to an embodiment.

Referring to Figure 2a, the gateway device 10 located in each region of the smart farm serves to collect sensor data while communicating with the sensor node device 11 installed in the field. In addition, the gateway device 10 may control the supply of water to farmland by transmitting the control data input by the user to the irrigation device 19. For the above operation, the gateway device 10 may be communicatively connected with the sensor node device 11 and the irrigation device 19 in a Bluetooth method, but is not limited thereto, and the gateway device 10 is It may be connected to the sensor node device 11 and the irrigation device 19 through other different local area networks such as Wi-Fi.

The sensor data collected by the gateway device 10 is transmitted to the DB server 31. At this time, the communication between the gateway device 10 and the DB server 31 is the aforementioned local area communication network, or GSM (Global System for Mobile Network), EDGE (Enhanced Data GSM Environment), HSDPA (High Speed Downlink Packet Access), W -Can be achieved through a long-distance communication network such as Wideband Code Division Multiple Access (CDMA), Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), and Long Term Evolution (LTE).

In one embodiment, the DB server 31 may communicate with the gateway device 10 using a publishing and subscription messaging protocol such as MQTT. In addition, the information stored in the DB server 31 may be processed into analysis information for a user to check and transmitted to the web service server 32 using a common Internet communication protocol such as HTTP (Hypertext Transfer Protocol). The user can check the information provided by the smart farm control system 3 for the field by accessing the web service server 32 using a user device.

2B is a conceptual diagram illustrating data transmission and reception between a gateway device of a smart farm and a user device in the smart farm control system for a field according to an embodiment.

In FIG. 2B, an area 200 represents a local area network area in an area where the gateway device 10 is located, and an area 300 represents a server area corresponding to a smart farm control system for a field.

Referring to FIG. 2B, sensor data transmitted from the gateway device 10 may be in the form of an MQTT protocol-based message processed by an MQTT broker 301 of a DB server. At this time, a corresponding topic may be specified for each message, and the subscriber 304 of the DB server collects messages with the corresponding topic in a manner that subscribes to a specific topic, and the collected message is a DB server Is stored in the time series DB (302). That is, each time a message related to a topic to be subscribed to is delivered from the MQTT broker 301, the subscription unit 304 stores it in the time series DB 302 in the form of time-series data. In an embodiment, the time series DB 302 may be an influx DB, but is not limited thereto.

The web service server of the smart farm control system for noji may convert information stored in the time series DB into analysis information that can be checked by the user device 4 through the interface unit 305. For example, the interface unit 305 may be a visualization tool such as grafana, but is not limited thereto.

Meanwhile, the user can check the analysis information through the user device 4 and, if necessary, input a control input to the smart farm control system for the field. The user's control input is processed by the MQTT broker 301 in the form of an MQTT protocol-based message having a specific topic through the reverse order of the above-described sensor data delivery process, and the gateway device 10 by the publisher. Can be sent to The gateway device 10 may receive control data in the form of a message based on the MQTT protocol and transmit it to the irrigation device of a smart farm.

3 is a perspective view of a sensor node device communicating with a smart farm control system for a field according to an embodiment.

Referring to FIG. 3, the sensor node device 11 according to the present embodiment includes a body portion 100 and 101 accommodating various sensors, and a solar charging panel provided on the surface of the body portions 100 and 101 ( 102). Each part of the body parts 100 and 101 may have a material and structure capable of waterproofing and dustproofing to enable outdoor installation. In addition, the body portions 100 and 101 include a surface portion 100 positioned on the soil when the sensor node device 11 is installed in the open field, and an extension portion extending from the surface portion 100 to be inserted into the soil ( 101). In the surface portion 100, a communication module for communication with the gateway device and a solar charging module for the operation of the solar charging panel 102 may be accommodated, and the state of the soil inside the extension portion 101 One or more sensors or the like for measurement may be accommodated.

In one embodiment, the extension 101 may be inserted into the soil to extend over a plurality of layers 201-203 located at different depths within the soil. At this time, each of the layers 201-203 means layers whose environmental conditions have meaning in the growth of crops. For example, the first layer 201 is from the soil surface to a depth of 15 cm, the second layer 202 is from the surface to a depth of 15 to 25 cm, and the third layer 203 is from the soil surface to a depth of 25 to 50 cm. It may refer to a section up to, but is not limited thereto.

At this time, one or more sensors located in the extension part 101 may be configured to separately collect sensor data related to each layer 201-203 through which the extension part 101 passes. For example, by independently measuring the temperature and/or humidity related to each layer 201-203 inside the soil, environmental conditions that affect the growth of crops can be specifically and three-dimensionally grasped. At this time, the arrangement position of each sensor in the extension unit 101 may be appropriately determined according to the root depth of the breeding crop to be cultivated in the field, and corresponding to various breeding crops by changing the sensor position in the extension unit 101 It is possible to use the sensor node device 11.

4 is a schematic block diagram of a sensor node device shown in FIG. 3.

Referring to FIG. 4, the sensor node device 11 may include a communication module 110, a solar charging module 120, and a sensor module 140. In an embodiment, the sensor node device 11 may further include a Global Positioning System (GPS) module 130. In addition, in an embodiment, the sensor node device 11 may further include a storage module 150.

The communication module 110 is a device that enables the sensor node device 11 to transmit sensor data to the gateway device 10 that controls a corresponding area, and may be configured as, for example, a Bluetooth module, but is not limited thereto.

The solar charging module 120 operates the solar charging panel 102 (FIG. 3) installed on the surface of the sensor node device 11 and supplies the charged power to other parts of the sensor node device 11 as power. Plays a role.

The sensor module 140 includes one or more types of sensors for acquiring environmental information related to the growth of farm products, such as a temperature and humidity sensor 141 and an atmospheric pressure sensor 143, as sensor data. For example, each sensor may be disposed in the body of the sensor node device 11 so that the temperature and humidity sensor 141 is inserted into the soil and the atmospheric pressure sensor 143 is located on the soil surface, but is not limited thereto.

The GPS module 130 and the acceleration sensor 142 of the sensor module 140 acquires the installation location and state of the sensor node device 11 as sensor data, so that the smart farm control system for the field performs modeling of crops. In the case, it functions to specifically exclude error data. This will be described in detail later with reference to FIG. 6.

The storage module 150 serves to store information on a specific condition to be achieved in relation to the growing environment of agricultural crops or a critical condition that must not deviate from this. When the sensor data acquired by the sensor module 140 is out of the above-described specific or critical condition, the sensor node device 11 transmits information related to the departure of the condition separately from the normal sensor data transmission to the communication module 110. It can be transmitted to the smart farm control system for the field. This means that the sensor data acquired from the specific sensor node device 11 is set in advance without waiting for a large amount of sensor data to be analyzed by the smart farm control system for the field or for the user to directly check the analysis information. This is to immediately notify the user of the departure.

However, this is exemplary, and in another embodiment, the sensor node device 11 itself acquires data, and the processing of the acquired data is performed only at the server side, and in this case, the storage module 150 may be omitted.

5 is a flowchart illustrating each step of a method for controlling a smart farm for a field according to an embodiment. Hereinafter, for convenience of explanation, a method for controlling a smart farm for a field according to the present embodiment will be described with reference to FIGS. 1 and 5.

First, the DB server 31 of the smart farm control system 3 for a field is the gateway devices 10 and 20 located in each smart farm area 1 and 2 within the control area of the corresponding gateway device 10 and 20. Sensor data of the located sensor node devices 11-15 and 21-25 may be collected (S11).

Next, the gateway devices 10 and 20 may transmit the collected sensor data of the sensor node devices 11-15 and 21-25 to the DB server 31 of the smart farm control system 3 for a field (S12). ).

The DB server 31 of the remote smart farm control system 3 operates using a subscription and publication-based messaging protocol such as the MQTT protocol, and a message corresponding to the sensor data collected from the gateway devices 10 and 20 Listens may be extracted in a subscription method for each topic of a message and stored in a time series DB (S13).

Next, the analysis server 33 of the outdoor smart farm control system 3 analyzes the data of the time series DB (S14), and the web service server 32 of the outdoor smart farm control system 3 generates the analysis result. The analyzed information can be provided to the user device 4 accessing the smart farm control system 3 for the field (S15). At this time, the analysis information may be a form of simply visualizing the sensor data in a format to be displayed through a web service, or may be secondary information obtained by processing the sensor data.

In one embodiment, the web service server 32 of the smart farm control system 3 for a field may receive a control input for controlling the smart farm from the user device 4 (S16). The user's control input is converted to control data in the form of a message based on the MQTT protocol through the DB server 31, and is transmitted to the gateway devices 10 and 20 in an issuing method, and the corresponding smart device from the gateway devices 10 and 20 Devices in the farm, for example, sensor node devices (11-15, 21-25) or irrigation devices (19, 29) may be transmitted (S17).

6 is a flow chart showing each step of a method for controlling a smart farm for a field according to another embodiment. In the embodiment shown in FIG. 6, the smart farm control system for the field provides sensor data to the user and not only receives control input from the user, but also detects errors in the acquired smart farm environment information or modeling crops. ) To the user through the control method or parameters.

1 and 6, the data collection unit 331 of the analysis server 33 may collect sensor data stored in the time series DB of the DB server 31 and control data used for controlling the smart farm. Yes (S21). The collected data is for use in generating crop modeling data described below.

In one embodiment, the error detection unit 332 of the analysis server 33 is estimated that there is an error among sensor data of each sensor node device 11-15 and 21-25 before determining the crop modeling data. Data can be detected (S22). The data estimated to be in error is the result of checking the magnitude and direction of the acceleration acquired through the acceleration sensor provided in each sensor node device (11-15, 21-25). 25) refers to sensor data obtained from sensor node devices 11-15 and 21-25 that are found to be inclined at a certain angle or more compared to a typical installation type.

When the sensor node devices 11-15 and 21-25 are inclined due to the influence of wind or contact with animals, people, etc., the data acquired from each sensor of the sensor node devices 11-15 and 21-25 are cropped. It may not accurately reflect the growing environment of. For example, if the sensor node device 11 as shown in FIG. 3 is tilted, the device is tilted in the temperature and humidity data of each soil layer 201-203 measured by the tilted sensor node device 11 The environment in the soil located at the depth of each previous layer 201-203 may not be correctly reflected. Therefore, the error detection unit 332 can generate modeling data excluding the data of the sensor node devices 11-15 and 21-25, which are determined to have an inclination angle greater than or equal to a certain level from the acceleration direction and magnitude, excluding this. have.

At this time, in one embodiment, when it is determined that there is an error in the specific sensor node devices 11-15 and 21-25, the error detection unit 332 GPS module 130 (FIG. 4), etc., and estimates all sensor data received from sensor node devices 11-15 and 21-25 adjacent to the sensor node as error data to generate crop modeling It is also possible to exclude from data for

In another embodiment, the error detection unit 332 is based on the slope of the sensor node devices (11-15, 21-25) when it is determined that there is an error in the specific sensor node devices (11-15, 21-25). Sensor data measured by the sensor node devices 11-15 and 21-25 may be corrected. For example, the sensors of the sensor node devices 11-15 and 21-25 are for detecting environmental information of each layer 201-203 (FIG. 3) of soil located at different depths from each other, and the sensor node device ( 11-15, 21-25), the sensing depth at which environmental information is actually measured differs from the initially intended sensing depth. Accordingly, the error detection unit 332 has a detection depth corresponding to the sensor data acquired by each sensor of the sensor node devices 11-15 and 21-25 based on the slope of the sensor node devices 11-15 and 21-25. The sensor data can be modified to compensate for.

For example, when the sensor node devices 11-15 and 21-25 are not tilted, the intended sensor detection depth is D, and the acceleration of the sensor node devices 11-15 and 21-25 in which the error occurred It is assumed that the slope of the sensor node devices 11-15 and 21-25 identified from the measured value of the sensor is θ. In this case, the slope of the sensor node devices 11-15 and 21-25 is defined as an angle formed by the extensions 101 (FIG. 3) of the sensor node devices 11-15 and 21-25 with respect to the ground. In this case, the error detection unit 332 may correct the detection depth corresponding to the sensor data of the corresponding sensor node devices 11-15 and 21-25 to Dsinθ. Alternatively, when the slope θ of the sensor node devices 11-15 and 21-25 is defined as an angle between the extension 101 (FIG. 3) of the sensor node devices 11-15 and 21-25 and the vertical direction, The error detection unit 332 may modify the detection depth corresponding to the sensor data to Dcosθ.

On the other hand, in the present embodiment, the web service server 32 may receive a user's input related to the crop to generate modeling data (S23), and the received user input is modeled together with sensor data and/or control data. It may be transmitted to the unit 333. At this time, the user input related to the crop is to determine the result of the crop crop, which can be called the result of farming, under specific environmental conditions and control conditions, and is entered as a specific number by the user or one or more questionnaires. It may be that the user's answer to the field is numerically converted through a predetermined operation.

The modeling generation unit 333 may generate crop modeling data including a condition related to the growth of a target crop and a predicted value for the result, based on a user input for sensor data, control data and/or crop conditions. Yes (S24). At this time, the conditions related to the growth of the crops may be those that specify the environment and control conditions to be created over a long period from sowing to harvesting of the corresponding crops, and may include conditions set differently from each other for a plurality of growing periods.

In addition, the crop modeling data is a method in which environmental/control conditions and predicted values of the result are matched with each other in a predetermined method, so that the user can predict crop conditions according to the environment and control method in advance. For example, the modeling generation unit 333 uses a combination of sensor data, control data, and user input for cropping as one data record, and performs clustering on data records using a plurality of data records. The crop modeling data can be created in this way. For clustering, a K-means clustering algorithm may be used, but is not limited thereto.

Next, the strategy generation unit 334 of the analysis server 33, based on the crop modeling data generated by the modeling generation unit 333, control data for each region (1, 2) for controlling the operation of the smart farm. Can be generated (S26). At this time, the control data is a predicted value for the crop condition by comparing the sensor data acquired in the smart farm area (1, 2) to be controlled and the user's control data for it with the crop modeling data, or Alternatively, the control method or parameter value proposed by the smart farm control system 3 for the field may be determined in order to make the crop better.

The control data for each region (1, 2) generated in the above-described step (S26) may be provided to the user as part of the analysis information provided to the user device 4 through the web service server 32. The user can control each device of the smart farm to check the predicted value of the crop status or the control input for improving the crop status through the analysis information, and reflect this.

Alternatively, the smart farm control system 3 for a field may transmit control data for each region 1 and 2 to the gateway devices 10 and 20 of each region 1 and 2. The above transmission process may be performed by inquiring to the user through the user device 4 whether or not to automatically control the smart farm control system 3 for the field, and then obtaining the user's approval. Alternatively, in another embodiment, the smart farm control system 3 for a field does not go through a separate approval process by the user, or at the time when the control data is determined after receiving comprehensive pre-approval from the user, there is no separate procedure The farm control system 3 may directly control sensor node devices 11-15 and 21-25 or irrigation devices 19 and 29 provided in each area 1 and 2 of the smart farm.

In one embodiment, the control data for each region (1, 2) generated by the strategy generation unit 334 of the analysis server 33 is not only based on crop modeling data, but also marketing and/or shipping time It may have been adjusted by additionally reflecting the strategy related to (S25).

For example, as the number of smart farm areas (1, 2) controlled by the smart farm control system for the field (3) expands and the number increases, if the smart farm is controlled based on the same crop modeling data, multiple areas ( In 1 and 2), crops of the same quality are often shipped at the same time. This inevitably induces competition among users of each smart farm, which may eventually reduce the profits of all users.

Therefore, in the present embodiment, when there are a plurality of areas (1, 2) in which control is performed based on the same crop modeling data, the strategy generation unit 334 is the timing of shipment of the crop in the control based on the crop modeling data. The control data for the irrigation devices 19 and 29 of each area 1 and 2 may be different so that they are different from each other.

In order to make the shipment time of each region (1, 2) different through the control data, the strategy generation unit 334 may cluster each data record of the crop modeling data by shipment time according to the characteristics of sensor data and control data. . For example, a first center value of sensor data and control data corresponding to a cluster of data records having a first shipment time, and sensor data and control data corresponding to a cluster of data records having a second shipment time later than this. Assume that the second central value of is derived. At this time, the strategy generation unit 334 controls the smart farms of the two regions (1, 2) based on the same crop modeling data, but in one region (1), the sensor data and control data that have achieved the first shipment time The devices of the smart farm are controlled to be close to the first center value, and in the other area (2), the devices of the smart farm can be controlled to be close to the second center value of the sensor data and control data that have achieved the second shipping time. have.

In the above, for convenience of explanation, the control data for only two regions (1, 2) was used to control the delivery timing, but the same control method was applied to the adjustment of delivery timing for a larger number of regions. It will be readily understood by those skilled in the art that it can be.

The operation of the smart farm control method for a field according to the above-described embodiments may be implemented at least partially as a computer program and recorded in a computer-readable recording medium. A recording medium in which a program for implementing an operation according to the method according to the embodiments is recorded and the computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tapes, floppy disks, and optical data storage devices. In addition, the computer-readable recording medium may be distributed over a computer system connected through a network, and computer-readable codes may be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing this embodiment may be easily understood by those skilled in the art to which this embodiment belongs.

The present invention described above has been described with reference to the embodiments shown in the drawings, but these are merely exemplary, and those of ordinary skill in the art will understand that various modifications and variations of the embodiments are possible therefrom. However, such modifications should be considered to be within the technical protection scope of the present invention. Accordingly, the true technical scope of the present invention should be determined by the technical spirit of the appended claims.

Claims (9)

One or more sensor node devices located in a preset management area of the smart farm;
A database server configured to receive sensor data collected by the one or more sensor node devices from a gateway device corresponding to the management area;
An analysis server configured to generate analysis information by analyzing the sensor data stored in the database server; And
A web configured to receive control data for controlling the irrigation device of the smart farm and a user input related to the crop status from the user device of the user of the smart farm, and provide the analysis information to the user device so that the user device can check it Including a service server,
The database server includes a time series database configured to selectively collect and store the sensor data received from the gateway device in a subscription manner,
Each of the one or more sensor node devices includes a sensor module equipped with one or more sensors for acquiring the sensor data, a communication module for performing communication with the gateway device, and a body portion configured to receive a storage module,
The body portion includes an extension portion inserted into the soil so as to extend over a plurality of layers located at different depths in the soil,
The one or more sensors are further configured to independently measure the sensor data related to the plurality of layers,
The sensor module includes an acceleration sensor,
The storage module is configured to store information on preset conditions related to the growing environment of agricultural crops,
The communication module, when the sensor data measured by the one or more sensors is out of the preset condition, is further configured to transmit information related to the out of condition of the sensor data to the database server,
The analysis server,
From the magnitude and direction of the acceleration measured by the acceleration sensor, a slope, which is an angle made by the one or more sensor node devices, with respect to the ground, and if there is a sensor node device whose slope is greater than or equal to a preset angle, the slope is greater than or equal to a preset angle. Error detection configured to determine the sensor data received from the sensor node device as error data, and correct a detection depth corresponding to each of the sensor data related to the plurality of layers in the error data by using the slope of the sensor node device part; And
By clustering data records defined by a combination of the sensor data, the control data, and the user input, crop modeling data including a condition related to the growth of the crop and a predicted value for the growth result is generated, and the error detection unit And a modeling generator configured to generate the crop modeling data using the sensor data whose detection depth is corrected by,
The web service server is a smart farm control system for a field further configured to notify the user of the smart farm of information related to the deviation of the condition of the sensor data.
The method of claim 1,
The database server further comprises a subscription unit configured to collect part of the sensor data in a subscription method using an MQTT protocol and store it in the time series database.
The method of claim 2,
The database server further comprises an issuing unit configured to transmit the control data to the gateway device in an MQTT protocol issuance method.
The method of claim 1,
Each of the one or more sensor node devices,
Smart farm control system for a field, which is provided on the surface of the body and further comprises a solar charging panel configured to supply power to the communication module and the sensor module.
As a smart farm control method for the field,
Receiving, by a database server of a smart farm control system for a field, sensor data collected by one or more sensor node devices located in a preset management area of the smart farm from a gateway device corresponding to the management area;
Selectively collecting, by the database server, the sensor data received from the gateway device in a subscription manner and storing it in a time series database of the database server;
Receiving, by a web service server of the smart farm control system for the field, control data for controlling the irrigation device of the smart farm and a user input related to crop conditions from a user device of a user of the smart farm;
Generating, by an analysis server of the smart farm control system for the field, analysis information to be provided to a user of the smart farm by analyzing the sensor data stored in the database server; And
Including the step of the web service server, providing the analysis information to the user device,
Each of the one or more sensor node devices includes a sensor module equipped with one or more sensors for acquiring the sensor data, a communication module for performing communication with the gateway device, and a body portion configured to receive a storage module,
The body portion includes an extension portion inserted into the soil so as to extend over a plurality of layers located at different depths in the soil,
The sensor data includes sensor data independently measured for each of the plurality of layers by the one or more sensors,
The sensor module includes an acceleration sensor,
The storage module is configured to store information on preset conditions related to the growing environment of agricultural crops,
Generating the analysis information,
Calculating, by the analysis server, a slope, which is an angle made by the at least one sensor node device with respect to the ground, from the magnitude and direction of the acceleration measured by the acceleration sensor;
Determining, by the analysis server, the sensor data received from a sensor node device having a slope greater than or equal to a preset angle as error data when there is a sensor node device having a slope greater than or equal to a preset angle;
Correcting, by the analysis server, a detection depth corresponding to each of the sensor data related to the plurality of layers in the error data by using a slope of the sensor node device; And
The analysis server, by clustering data records defined by a combination of the sensor data, the control data, and the user input, generating crop modeling data including a predicted value for a condition related to the growth of a crop and a growth result. Including,
The step of generating the crop modeling data is performed using the sensor data whose detection depth is corrected,
The smart farm control method for the field,
When the sensor data measured by the at least one sensor exceeds the preset condition, the smart farm control system for the field receiving information related to the condition deviation of the sensor data from the sensor node device; And
The smart farm control method for a field further comprising the step of notifying, by the smart farm control system for the field, information related to a condition deviation of the sensor data to a user of the smart farm.
The method of claim 5,
The step of storing in the time series database comprises the step of collecting, by the database server, a part of the sensor data through a subscription method using an MQTT protocol and storing it in the time series database.
The method of claim 6,
The method of controlling a smart farm for a field further comprising the step of, by the database server, transmitting the control data to the gateway device by issuing an MQTT protocol.
delete A computer program stored in a computer-readable recording medium to execute the smart farm control method for a field according to any one of claims 5 to 7 in combination with hardware.

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