KR102368838B1 - Method and apparatus for managing and detecting fault of sensor node in open ground smart farm - Google Patents

Abstract

According to an embodiment of the present invention, an operating method of a control server for controlling irrigation in an open ground smart farm comprises the steps of: receiving sensing values for crop-related information in the open ground smart farm from a plurality of sensor nodes installed in a mesh form at regular intervals in the open ground smart farm; estimating the state of crops based on the sensing values obtained from the plurality of sensor nodes and position information of each sensor node; and controlling an irrigation device for supplying raw water and nutrient solutions based on the estimated state of the crop. The step of estimating of the state of the crop can include a step of detecting error data among the sensing values obtained from the plurality of sensor nodes, and diagnosing whether the sensor node which has transmitted the error data has a fault. Therefore, the present invention can efficiently supply the raw water and the nutrient solutions to the crops.

Description

Method and device for fault diagnosis and management of sensor nodes in a no-ji smart farm

Embodiments relate to a method and apparatus for diagnosing and managing a failure of a sensor node in an off-site smart farm. More specifically, the embodiments relate to a method and apparatus for determining abnormality in a sensed value among a plurality of sensor nodes in an open-air smart farm, and appropriately controlling irrigation of crops through correction and exclusion of the sensed value. .

Smart farm is a farm that can properly maintain and manage the growing environment of crops or livestock remotely and automatically by grafting Information Communication Technology to existing farming technologies such as plastic houses and livestock. refers to related technologies. 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 crop growth information and environmental information.

For this purpose, smart farm can be configured to automatically supply water and light by measuring temperature, humidity, light, carbon dioxide, etc. of facilities to achieve optimal growth of planted crops by grafting information and communication technology.

In this way, in order to measure the environment such as temperature, humidity, light, carbon dioxide, etc. of the facility and control the entire environment, a plurality of sensor nodes installed in the management area to obtain crop growth information and environmental information in real time; There is a need for a system that can remotely control irrigation equipment installed in a management area by collecting sensor data through a network or receiving control instructions from a user. In addition, a platform through which a user can access the data of the smart farm and read necessary contents may be required.

Due to the nature of the smart farm, sensor node failure may occur, and if the environmental information obtained due to the sensor node failure is inaccurate, efficient management for optimal growth of crops becomes difficult. Accordingly, there may be a need for a method for detecting an abnormality in a sensor node and diagnosing a failure to prevent inaccuracy of data and efficiently manage it, which will be described below.

Korean Patent Publication No. 10-2019-0057220

The present specification relates to a method and apparatus for identifying environmental information of a facility based on sensor values obtained through a plurality of sensor nodes in an open-air smart farm, and controlling a growth environment based on this.

The present specification relates to a method and apparatus for determining an abnormal value of data acquired through a plurality of sensor nodes and diagnosing a failure of a sensor node.

The present specification relates to a method and an apparatus for controlling the amount of water supplied by correcting or excluding the sensed value when the sensed value obtained through a plurality of sensor nodes is determined to be an out-of-range value.

The problem to be solved in the present specification is not limited to the above, but may be extended to various matters that can be derived by the embodiments of the invention described below.

According to an embodiment of the present specification, in the method of operating a control server for controlling irrigation in an open-air smart farm, a plurality of sensor nodes installed in a mesh form at regular intervals in the open-air smart farm relate to crops in the open-air smart farm. Receiving a sensed value for information, estimating a state of a crop based on the sensed values obtained from the plurality of sensor nodes and position information of each sensor node, and raw water and Controlling a irrigation device for supplying the nutrient solution, wherein the estimating of the state of the crops includes detecting error data among sensing values obtained from the plurality of sensor nodes, and transmitting the error data. It may include the step of diagnosing whether there is a failure.

In addition, according to an embodiment of the present specification, the step of diagnosing whether the sensor node that has transmitted the error data has a failure may include determining that the sensed value of the sensor node that has transmitted the error data is determined by a predetermined number of other sensor nodes among the plurality of sensor nodes. The method may include determining a sensor node that has transmitted the error data as a failure when a difference between the sensing value of the sensor node and a value outside a preset range is shown.

In addition, according to an embodiment of the present specification, the step of estimating the state of the crop may include excluding the sensing value of the sensor node determined as the failure from the analysis or determined as the failure in order to estimate the state of the crop. The method may include correcting the sensed value of the sensor node, and the calibrating the sensed value may include determining different weights according to the type of the sensed value of the sensor node determined to be a failure.

In addition, according to an embodiment of the present specification, the step of correcting the sensed value includes a group sensor node in which an output value pattern among the plurality of sensor nodes belongs to the same category as the sensor node determined to be faulty and is grouped into one group The method may include correcting the sensed value based on the sensed value of .

In addition, according to an embodiment of the present specification, the step of diagnosing whether the sensor node that has transmitted the error data has a failure may include sensing the error data according to the drainage capacity of the soil based on the output value pattern of the plurality of sensor nodes. When it is determined that there is an error, the method may include determining that the sensor node that has transmitted the error data is not a failure.

In addition, according to an embodiment of the present specification, each of the plurality of sensor nodes includes two or more distance measuring sensors, and the step of estimating the state of the crop is using the sensing values of the two or more distance measuring sensors. to calculate the distance between the plurality of sensor nodes, respectively, to detect a sensor node deviated or inclined out of the ground, and excluding the sensed value of the detected sensor node from analysis for estimating the state of the crop. there is.

In addition, according to an embodiment of the present specification, in the estimating of the state of the crop, when it is determined that the sensed values collected from the detected sensor node for a certain time have a certain pattern, the data collected from the detected sensor node It may include estimating the state of the crop using the sensed value.

The computer program according to an embodiment of the present specification may be stored in a computer-readable recording medium in combination with hardware to execute the method according to the above-described embodiments.

The present specification may provide a method for detecting abnormalities in the sensed values of a plurality of sensor nodes in an open-air smart farm, and diagnosing and managing a failure of a sensor node. doing

The present specification may provide a method for controlling irrigation in consideration of the position and condition of crops in an open-field smart farm.

The present specification has the effect of efficiently supplying raw water and nutrient solution by identifying the position and state of a crop based on sensor values obtained through a plurality of sensor nodes, and controlling irrigation based on this.

This specification corrects or excludes errors in the sensing values of multiple sensor nodes in an open-air smart farm to control the irrigation device to more accurately understand the state of crops and to efficiently supply raw water and nutrient solution to crops while minimizing human intervention. there is an effect

The problem to be solved in the specification is not limited to the above, but may be extended to various matters that can be derived by the embodiments of the invention described below.

1 is a block diagram of an open-field smart farm control system according to an embodiment.
2A is a conceptual diagram for explaining communication between a smart farm and a server in the smart farm control system for a field according to an embodiment.
FIG. 2B is a conceptual diagram illustrating data transmission/reception between a gateway device and a user device of a smart farm 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.
FIG. 4 is a schematic block diagram of the sensor node device shown in FIG. 3 .
5A is a diagram illustrating the arrangement of sensor node devices A to D installed in an open-air smart farm according to an embodiment.
5B is a diagram illustrating a cross-section of soil in which each sensor node device A to D is installed in an open-field smart farm according to an embodiment.
FIG. 6A is a diagram illustrating a change in soil moisture sensed by a sensor node A installed in an open-field smart farm as shown in FIG. 5A according to an embodiment over time.
FIG. 6B is a diagram illustrating a change in soil moisture sensed by a sensor node B installed in an outdoor smart farm over time as in FIG. 5A according to an embodiment.
6C is a view showing a change in soil moisture sensed by a sensor node C installed in an open-field smart farm as shown in FIG. 5A according to an embodiment over time.
7 is a flowchart illustrating a method of controlling irrigation based on data collected from a plurality of sensor node devices in an outdoor smart farm according to an embodiment.
8 is a flowchart illustrating each step of a method for controlling an outdoor smart farm through detection of a sensing error according to an embodiment.

In the description of the embodiments of the present specification, if it is determined that a detailed description of a known configuration or function may obscure the gist of the embodiment of the present specification, a detailed description thereof will be omitted. In addition, in the drawings, parts not related to the description of the embodiments of the present specification are omitted, and similar reference numerals are attached to similar parts.

In the embodiments of the present specification, when a component is "connected", "coupled" or "connected" with another component, it is not only a direct connection relationship, but also an indirect relationship where another component exists in the middle. It can also include human connections. In addition, when a component is said to "include" or "have" another component, it means that another component may be further included without excluding other components unless otherwise stated. .

In the embodiment of the present specification, terms such as first, second, etc. are used only for the purpose of distinguishing one component from other components, and unless otherwise specified, do not limit the order or importance between the components. does not Accordingly, within the scope of the embodiments herein, a first component in an embodiment may be referred to as a second component in another embodiment, and similarly, a second component in an embodiment is referred to as a first component in another embodiment. can also be called

In the embodiment of the present specification, the components that are distinguished from each other are for clearly explaining each characteristic, and the components do not necessarily mean that the components are separated. That is, a plurality of components may be integrated to form one hardware or software unit, or one component may be distributed to form a plurality of hardware or software units. Accordingly, even if not specifically mentioned, such integrated or dispersed embodiments are also included in the scope of the embodiments of the present specification.

In the present specification, the network may be a concept including both wired and wireless networks. In this case, the network may mean a communication network in which data exchange between the device and the system and devices can be performed, and is not limited to a specific network.

Embodiments described herein may have aspects that are entirely hardware, partly hardware and partly software, or entirely software. As used herein, "unit," "device," or "system," or the like, refers to hardware, a combination of hardware and software, or a computer-related entity, such as software. For example, as used herein, a part, module, device, or system is a running process, a processor, an object, an executable, a thread of execution, a program, and/or a computer. (computer), but is not limited thereto. For example, both an application running on a computer and a computer may correspond to a part, module, device, or system of the present specification.

In addition, in the present specification, the device may be a mobile device such as a smart phone, a tablet PC, a wearable device, and a head mounted display (HMD), as well as a fixed device such as a PC or home appliance having a display function. Also, as an example, the device may be an in-vehicle cluster or an Internet of Things (IoT) device. That is, in the present specification, a device may refer to devices capable of operating an application, and is not limited to a specific type. Hereinafter, for convenience of description, a device in which an application operates is referred to as a device.

In the present specification, the communication method of the network is not limited, and the connection between each component may not be connected in the same network method. The network may include not only a communication method using a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network, a satellite network, etc.) but also short-range wireless communication between devices. For example, the network may include all communication methods through which an object and an object can network, and is not limited to wired communication, wireless communication, 3G, 4G, 5G, or other methods. For example, a wired and/or network may be a Local Area Network (LAN), a Metropolitan Area Network (MAN), a Global System for Mobile Network (GSM), an Enhanced Data GSM Environment (EDGE), a High Speed Downlink Packet Access (HSDPA), W-CDMA (Wideband Code Division Multiple Access), CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice over) Internet Protocol), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and MBWA (IEEE 802.20) systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access), and ultrasonic-based communication can refer to a communication network by one or more communication methods selected from the group consisting of However, the present invention is not limited thereto.

Components described in various embodiments do not necessarily mean essential components, and some may be optional components. Accordingly, an embodiment composed of a subset of the components described in the embodiment is also included in the scope of the embodiment of the present specification. In addition, embodiments including other components in addition to the components described in various embodiments are also included in the scope of the embodiments of the present specification.

Hereinafter, embodiments of the present specification 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 outdoor use according to the present embodiment is one or more located in each region 1 and 2 of the smart farm to enable information communication technology-based control. configured to communicate with the devices.

Each region 1 and 2 in the drawing may correspond to a unit area of a smart farm operated by the same or different users (eg, farm managers). Each region (1, 2) has one or more sensor node devices (11-15, 21-25) for acquiring sensor data for the farm environment, and each region (1, 2) Regional gateway devices 10 and 20 that enable control by region may be located. Also, in one embodiment, irrigation devices 19 and 29 for performing irrigation such as supply of raw water and nutrient solution in a remote-controlled and automated manner may be further located in each region 1 and 2 .

In addition, the smart farm control system 3 for outdoor use may communicate with one or more user devices 4 to provide the collected smart farm information to the 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 only for illustration, and the user device 4 is a mobile communication terminal, a personal computer, and a personal digital (PDA). assistant), a tablet, a set-top box for IPTV (Internet Protocol Television), etc. may be implemented in the form of any computing device.

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. can also communicate with For example, the external server 5 may be a web service server of the Korea Meteorological Administration, 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 the field. The point will be readily understood by those skilled in the art.

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

The devices described herein may be wholly hardware, or may have aspects that are partly hardware and partly software. For example, the smart farm control system for the field 3 and each system, device, server and each module or unit included therein communicating therewith transmit data in a specific format and content in an electronic communication method. A device for receiving and software related thereto may be collectively referred to. As used herein, 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 herein may be a data processing device including a CPU or other processor. In addition, software driven by hardware may refer to a running process, an object, an executable file, a thread of execution, a program, and the like.

In addition, in the present specification, each server 31-33 or unit constituting the smart farm control system 3 for the field is not necessarily intended to refer to a physically distinct separate component. That is, in FIG. 1 , each server 31-33 of the smart farm control system 3 for outdoor use is shown as a separate block to be distinguished from each other, but this is the operation performed by the smart farm control system 3 for outdoor use. functionally separated by According to an embodiment, some or all of the aforementioned servers may be integrated in the same single device, or one or more servers may be implemented as separate devices physically separated from other servers. For example, each server of the smart farm control system 3 for the field may be components 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, 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 a time series DB in a subscriber method using a messaging-based communication protocol, and the control data received from the user device 4 also uses the communication protocol. It can be transmitted to the gateway devices 10 and 20 using a published method.

For example, the DB server 31 may operate based on the 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 the user to check 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 growth environment of the smart farm based on the sensor data. For example, the analysis information may be a simple processing of the sensor data into a form that the user can easily check. , or may include data secondary to numerical calculations based on sensor data. When the analysis server 33 processes the analysis information, as will be described later, a failure of the sensor node device may be detected and some sensor data may be corrected or excluded.

In an embodiment, the analysis server 33 includes a data collection unit 331 and a modeling generation unit 333 for acquiring sensor data from a plurality of sensor node devices 11-15 and 21-25 installed at regular intervals on the field. ) is included. Also, in one embodiment, the analysis server 33 further includes an error detection unit 332 for detecting an abnormal value of the collected sensor data. Further, in one embodiment, the analysis server 33 further includes a strategy generating unit 334 .

The analysis server 33 detects abnormal values of sensor data obtained from a plurality of sensor node devices 11-15 and 21-25 installed at regular intervals in the field. For example, the analysis server 33 may detect the corresponding sensed value as an outlier when the sensed value collected from a specific sensor node shows an error of more than a certain range compared to the sensed value of one or more other sensor nodes. The predetermined range of the sensed value may be a preset value. Whether or not the sensed value is abnormal may be determined by the error detection unit 332 of the analysis server 33 in particular.

The analysis server 33 may further correct the sensed values showing values outside a certain range, and the correction for the sensed values may be determined based on an average or median value of the sensed values of one or more adjacent sensor nodes. In this case, the number of sensor nodes for calculating the average or median value may be set in consideration of the arrangement of the sensor nodes, the topography of the corresponding area, and the like.

According to an embodiment of the present invention, the correction of the sensed value is determined according to the type of sensing data, and when referring to the sensing value of another sensor node, the weight may be determined according to the type of the sensing data. For example, the average of the sensing values disposed upstream and downstream may be used for the moisture content in the soil, and the sensing values of sensor nodes installed at the same altitude may be set to have a relatively low weight.

According to an embodiment of the present invention, in order to correct a sensed value, sensor nodes sharing a specific characteristic may be grouped during normal operation of the noge mesh network to use the sensed values of the sensors in the grouped group. For example, a specific characteristic as a criterion for grouping may be an output value pattern, and sensor nodes having the same output value pattern may be grouped into one group. A group of sensor nodes may or may not be adjacent. Here, the output value means the sensed value of each sensor node, that is, a value finally output by the sensor node.

In another embodiment, the analysis server 33 may determine whether the sensor node has departed based on the relative distance information between the sensor nodes, and may determine a failure (sensing value reliability) based on the departure distance. Due to the nature of the smart farm, the sensor node installed in the soil may be moved due to a large amount of precipitation. may adversely affect the growth of

The distance between the sensor nodes may be used to detect whether a sensor is raised out of the ground or an inclined sensor in consideration of 3D information as well as a distance on a plane. To this end, two or more distance measuring sensors may be attached to each sensor node. For example, in the analysis server 33, the distance between the upper distance measuring sensor and the first neighboring sensor node to which a specific sensor node is adjacent is greater than the distance between the lower distance measuring sensors, and the second neighboring sensor node and the upper distance measuring sensor When the distance between the lower distance measuring sensors is closer than the distance between the lower distance measuring sensors, it may be determined that the corresponding sensor node is a sensor inclined toward the second neighboring sensor node.

In an embodiment, the analysis server 33 may continuously collect the sensed values without using the sensed values of the sensors that are separated by a predetermined distance or more for control. In addition, the analysis server 33 may be used to determine and control the state of crops again from that time when the data collected for a certain period has a certain pattern. For example, whether the pattern has a certain pattern may be determined based on sensing values and similarities of adjacent sensors. In other words, if only some sensor nodes are washed away in the soil, the sensed values can be collected in a pattern that has been reworked from the moved location without having to go manually to find or fix them. can increase

The web service server 32, the user can check the analysis information based on the sensor data by accessing the smart farm control system 3 for the field using the user device 4, and if necessary, the smart farm irrigation device A user interface for inputting control data for controlling (19, 29) and the like is provided. That is, the web service server 32 is a server that provides a web page accessible by a web browser executed on the user device 4 , or an application (or app) executed on the user device 4 . It may be an application service server that communicates with

The irrigation devices 19 and 29 are configured to remotely control the operation 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 ( not shown) may be included.

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

Referring to FIG. 2A , the gateway device 10 located in each area of the smart farm collects sensor data while communicating with the sensor node device 11 installed on the field. In addition, the gateway device 10 may control the supply of water to the 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 to 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 network, or GSM (Global System for Mobile Network), EDGE (Enhanced Data GSM Environment), HSDPA (High Speed Downlink Packet Access), W - It can be achieved through a telecommunication 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 (messaging) protocol, such as MQTT. In addition, the information stored in the DB server 31 may be processed into analysis information for the 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 the user device. Also, for example, the user device 4 may communicate with the sensor node device 11 and the irrigation device 19 through the gateway device 10 based on the above-described protocol, which will be described later.

2B is a conceptual diagram for explaining data transmission/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 of an area in which the gateway device 10 is located, and an area 300 represents a server area corresponding to the smart farm control system for the field.

Referring to FIG. 2B , the sensor data transmitted from the gateway device 10 may have the form of an MQTT protocol-based message processed by the MQTT broker 301 of the DB server. At this time, a corresponding topic may be specified for each message, and the subscriber 304 of the DB server collects messages to which the topic is specified by subscribing to a specific topic, and the collected messages are collected from the DB server. is stored in the time series DB 302 of That is, each time a message related to a subscribed topic 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 organized 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 the field may convert the information stored in the time series DB into analysis information that can be checked in the user device 4 through the interface unit 305 . For example, the interface unit 305 may use a visualization tool such as grafana, but is not limited thereto.

Meanwhile, the user may 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 sensor data transmission process described above, and the gateway device 10 by the publisher can be transmitted to The gateway device 10 may receive the control data in the form of a message based on the MQTT protocol and transmit it to the irrigation device of the 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 body parts 100 and 101 in which various sensors are accommodated, and a solar charging panel provided on the surface of the body parts 100 and 101 ( 102). Each part of the body parts 100 and 101 may have a material and structure capable of waterproofing and dustproofing so that it can be installed on the ground. In addition, the body parts 100 and 101 have a surface part 100 positioned on the soil when the sensor node device 11 is installed in the field, and an extension part ( 101) can be distinguished. A communication module for communication with the gateway device and a solar charging module for operation of the solar charging panel 102 may be accommodated in the surface portion 100, and the state inside the soil in the extension 101 One or more sensors for measurement and the like 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. In this case, each layer 201-203 means layers in which the environmental conditions of the corresponding layer 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.

In this case, one or more sensors located in the extension 101 may be configured to separately collect sensor data related to each layer 201-203 through which the extension 101 passes. For example, by independently measuring the temperature and/or humidity related to each layer 201-203 in the soil, environmental conditions affecting 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 open field, and by changing the sensor position in the extension unit 101, in response to various breeding crops, It is possible to use the sensor node device 11 .

FIG. 4 is a schematic block diagram of the 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 . Also, in one embodiment, the sensor node device 11 may further include a storage module 150 .

The communication module 110 is a device that allows 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 electric power charged thereby to other parts of the sensor node device 11 as power source. plays a role

The sensor module 140 includes one or more types of sensors for acquiring environmental information related to the growth of farms, such as a temperature and humidity sensor 141 and an air 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 air pressure sensor 143 is positioned on the soil surface, but is not limited thereto.

The GPS module 130 and the acceleration sensor 142 of the sensor module 140 acquire 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 on crops In this case, it functions to specify and exclude erroneous data. Also, the sensor node device 11 may acquire crop image and surrounding image information based on a camera module (not shown) and other modules. As an example, the sensor node device 11 may further utilize the acquired image information to determine the location of crops in each region 1 and 2 of the smart farm.

The storage module 150 serves to store information about a specific condition to be achieved in relation to the growing environment of crops, or a critical condition that must not deviate from it. When the sensor data acquired by the sensor module 140 deviates from the specific or critical condition described above, the sensor node device 11 transmits information related to the deviation 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 does not wait for a large amount of sensor data to be analyzed on the field smart farm control system side or for the user to directly check the analysis information, and the sensor data obtained from the specific sensor node device 11 is set in a preset condition. This is to immediately notify the user of departure.

However, this is an example, and in another embodiment, the sensor node device 11 itself acquires data, and processing of the acquired data is performed only on the server side, and in this case, the storage module 150 may be omitted. For example, when the sensor data obtained according to the above-described embodiment is obtained as a value outside a preset range, the corresponding sensed value may be corrected or excluded by the analysis server 33 .

It is possible to manage crops based on a plurality of sensor nodes within the smart farm. For example, based on the above-mentioned bar, based on the plurality of sensor node devices 11 to 15 and 21-25 and the irrigation device in the smart farm 1, the location of crops may be identified, and raw water and nutrient solution may be supplied. As an example, the plurality of sensor nodes 11 to 15 and the irrigation device communicate with the user device 4 and the above-described protocol based on the gateway device 10 and the smart farm control system 3 for the field in the smart farm 1 . can be linked through In this case, the user device 4 may be a computing device. For example, the computing device may include at least one of a memory, a processor, a communication module, and a transceiver. For example, the memory is a non-transitory computer-readable recording medium, and is a non-volatile, large-capacity, non-volatile memory such as random access memory (RAM), read only memory (ROM), disk drive, solid state drive (SSD), flash memory, and the like. It may include a permanent mass storage device. Here, a non-volatile mass storage device such as a ROM, an SSD, a flash memory, a disk drive, etc. may be included in the aforementioned device as a separate permanent storage device distinct from the memory. In addition, an operating system and at least one program code (eg, a code for a browser installed and driven on a user device, or an application installed on a user device to provide a specific service, etc.) may be stored in the memory. These software components may be loaded from a computer-readable recording medium separate from the memory. The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card.

In another embodiment, the software components may be loaded into the memory through a communication module rather than a computer-readable recording medium. For example, the at least one program is a computer program (eg, the application described above) installed by files provided through a network by a file distribution system (eg, the above-described server) that distributes the installation files of developers or applications. ) can be loaded into memory based on

The processor may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to the processor by a memory or communication module. For example, the processor may be configured to execute instructions received according to program code stored in a recording device, such as a memory.

The communication module may provide a function for communicating with a user device or a server via a network.

In addition, the transceiver may be a means for interfacing with an external input/output device (not shown). For example, the external input device may include devices such as a keyboard, mouse, microphone, and camera, and the external output device may include devices such as a display, a speaker, and a haptic feedback device. As another example, the transceiver may be a means for an interface with a device in which functions for input and output are integrated into one, such as a touch screen.

5A and 5B show the arrangement of the sensor node devices A to D installed in the open-field smart farm and the cross-section of the soil in which each sensor node device A to D is installed, according to an embodiment.

Each of the sensor node devices A-D may have the same structure as the sensor node device 11 as shown in FIG. 3 . According to an embodiment, as shown in FIG. 5B , the extension 101 of each sensor node device AD has a length of about 30 cm and includes one or more sensors to measure the temperature and/or humidity inside the soil. can do. For example, the soil in which the sensor node devices A to D are installed is a soil stacked in the order of bedrock 503 - subsoil 502 - topsoil layer 501, and the extension part 101 is installed only in the topsoil layer. . When water is supplied to the soil, drainage may be performed from the topsoil layer 501 to the bedrock 503 , and vice versa, moisture may be absorbed from the bedrock 503 to the topsoil layer 501 . According to an embodiment, the topsoil layer 501 is composed of an O layer (organic material layer) and an A layer (a leached layer) from the ground surface, and the subsoil 502 is composed of a B layer (a leached layer) and a C layer (the base material layer). , the bedrock 503 may be composed of an R layer (rock layer).

In one embodiment, the sensor node devices A to D are arranged as shown in FIG. 5A, wherein the sensor node A is installed at a location with high drainage capacity, and the sensor node D is installed at a location with a low drainage capacity, and sensor node B and C can be installed in between. The supplied water moves from sensor node A to sensor node D.

As such, the analysis server 33 may analyze the pattern of the output values of the sensor nodes A to D to determine the movement direction of water in the corresponding terrain, recognize the movement amount of water, and adjust the amount and interval of water supply.

6A to 6C show changes in soil moisture sensed by each of the sensor node devices A to D installed in the smart farm for outdoor use as shown in FIG. 5A according to an embodiment.

In one embodiment, when installed at a location having a high drainage capacity as in the sensor A of FIG. 5A , the soil moisture rapidly increases in the watering section 601 as shown in FIG. 6A , and the soil moisture decreases rapidly after the water supply is completed. At this time, the section in which the soil moisture rapidly increases and then rapidly decreases according to the water supply is the soil stabilization section 602 . When installed at a location with high drainage capacity, such as sensor A, the length of the soil stabilization section 602 is relatively short.

When installed at an intermediate position of the water flow as in the sensor B and sensor C of FIG. 5A , as shown in FIG. 6B , the soil moisture rapidly increases in the watering section 601 , and even after the water supply is complete, depending on the movement direction of the water, the water at the sensor A position The amount of inflow and the amount of drainage is equalized, and the amount of soil moisture does not change for a certain period of time, but after a certain period of time, the soil moisture drops rapidly. In one embodiment, since the location where the sensor A is installed has good drainage, water is drained from the topsoil layer 501 to the subsoil 502 to move to the location of the sensor D along the water veins of the subsoil 502 . The length of the soil stabilization section 602 is longer than that of the sensor A according to the positions of the sensors B and C located in the water movement path.

When it is installed in a position where the drainage capacity in the movement direction of water is low as in the sensor D of FIG. 5A, the soil moisture rapidly increases in the watering section 601 as shown in FIG. 6C, and even after the water supply is completed, the position of the sensor A according to the movement direction of the water It continues to move to the position of the sensor D along the water veins of the subsoil 502 in . Since the location of the sensor D has a low drainage capacity, a moisture increase section 603 in which the amount of soil moisture further increases for a certain period of time is generated. At the position of sensor D, moisture in the subsoil 502 moves to the topsoil layer 501 through a moisture absorption process, and at the position of sensor D, the drainage capacity is low, so the moisture of the soil goes through a moisture absorption process before the water supplied goes crazy. because it increases. When the amount of movement of water decreases after the water increase section 603 , the soil moisture gradually falls because the drainage capacity of the position of the sensor D is low. Accordingly, the length of the soil stabilization section 602 is longest compared to other sensors according to the position of the sensor D located in the movement direction of water.

The analysis server 33 may analyze the output pattern of the sensor nodes A to D as described above to determine the movement direction of water in the corresponding terrain, and may not identify the abnormal moisture increase as in FIG. 6C as a sensor failure. In addition, the analysis server 33 may adjust the amount and interval of water supply by recognizing such a movement amount of water.

As described above, the analysis server 33 acquires a pattern of sensor values according to the drainage capacity, and fails even if the sensor value exceeds an error within a certain range, such as a high moisture sensor value in an environment with low drainage capacity. may not be recognized as That is, a specific range in which the sensor value has a unique value according to the drainage environment may not be recognized as a sensor failure. As shown in Figure 6c, even if water supply is stopped due to the drainage environment of the soil, according to the sensor value measured because of the movement of water from another area according to the movement direction of the water, a moisture rising section 603 such as the sensor node D in which the soil humidity rises will occur. because it can The analysis server 33 analyzes the arrangement of the sensor nodes, the soil environment and drainage capacity, and the movement direction of water, and based on the results, the sensing abnormal value within a certain range may not be determined as a failure.

It is possible to provide a method for controlling irrigation based on data collected from the plurality of sensor node devices 11-15 and 21-25 based on the above description.

7 is a flowchart illustrating a method of controlling irrigation based on data collected from a plurality of sensor node devices in an outdoor smart farm, according to an embodiment. As an example, based on the above-described FIGS. 1 to 4 , a control server that controls irrigation by interworking with a user device in an open-field smart farm may be considered, and the control server may be an outdoor smart farm control system 3 . In addition, as an example, the control server is installed in the form of a mesh in the smart farm control system 3 and the smart farm for the outdoors, and a plurality of sensor nodes for sensing crop-related information in the smart farm, a plurality of sensor nodes obtained from A control unit controlling the irrigation device by estimating the state of the crop such as the position and environment (soil humidity, nutrients, soil condition, etc.) of the crop based on the sensing value and the position information of each sensor node, and the estimated position and environment of the crop It may include a irrigation device for supplying raw water and nutrient solution based on the state of the. That is, the control server for controlling the smart farm based on the above-described FIGS. 1 to 4 may be the control system 3 and is not limited to a specific form. In particular, the operation of estimating the state of the crop using the sensing values obtained from the plurality of sensor nodes may be performed in the analysis server.

For example, referring to FIG. 7 , the control server may obtain a sensed value from a plurality of sensor nodes ( S710 ), and estimate the state of a crop based on the sensed value and the location of each sensor node ( S720 ). Thereafter, the control server may supply raw water and nutrient solution according to the state estimated through the irrigation device (S730), as described above. At this time, the irrigation device is a device that discharges raw water and nutrient solution in the smart farm through 360-degree rotation, and the control unit of the control server determines the estimated position of the crop in the smart farm and the state of the crop (for example, lack of moisture) , a specific nutrient (magnesium, etc.) deficiency, growth status, etc.), it is possible to control the discharge-related information so that the raw water and the nutrient solution are supplied in an appropriate amount. In this case, as an example, the irrigation device may include at least one of a tank, a pump, an irrigation control device, a pipe, and a discharge device, as described above. In addition, the control server may control at least any one or more of a discharge direction, a discharge range, a discharge angle, and a discharged supply amount of raw water and nutrient solution based on the estimated state of the crop. For example, the control server may determine the moisture content according to the location of the soil based on the sensing value from the moisture sensor, and control the moisture supply range and supply amount by judging the moisture content of crops based on this. can do.

In addition, as an example, the control unit of the control server is based on the location information of the irrigation device, the location information of the crops, the state information of the crops, the discharge direction information, the discharged range information, the discharged angle information, and the discharged supply amount information based on the irrigation device You can determine the amount of raw water and nutrient solution supplied from the tank of Also, the control unit of the control server may determine the discharge pressure and discharge angle of the raw water and the nutrient solution through the pump, the water regulating device, and the pipe of the irrigation device.

Also, as an example, each sensor node may include a plurality of sensors, and may obtain at least one of temperature information, humidity information, atmospheric pressure information, and image information from each sensor. In this case, the control server may estimate the position of the crop based on the plurality of sensors of each sensor node, and further acquire crop-related environmental information for the crop at the estimated position. At this time, the control server provides the user with the open smart farm-related information based on the application or software of the user device interlocked, and the user device uses a plurality of sensors through input information received from the user based on the provided outdoor smart farm-related information. The node and irrigation device control information may be transmitted to the control server.

In this case, as an example, the user device controls at least any one or more of location information of the irrigation device, location information of crops, state information of crops, discharge direction information, discharge range information, discharge angle information, and discharged supply amount information. It can receive input information from a user and transmit it to the control server. Thereafter, the control server may control the plurality of sensor nodes and the irrigation device based on the received input information, as described above.

In addition, as an example, the user device provides the user with map information for the open field smart farm based on a plurality of sensor nodes, and the user device inputs the location information of the crop from the user based on the map information for the open field smart farm can receive

8 is a flowchart illustrating each step of a method for controlling an outdoor smart farm through detection of a sensing error according to an embodiment. Hereinafter, for convenience of explanation, the control system 3 for controlling the smart farm for the field according to the present embodiment with reference to FIGS. 1 and 8 is described as a control server, but is not necessarily implemented as a single server, However, the present invention is not limited thereto.

First, the smart farm control server for the field collects sensor data from a plurality of sensor nodes (S810). According to one embodiment, specifically, the DB server 31 is a sensor node device (11-15, 21-25) located in the control area of the gateway device (10, 20) located in each smart farm area (1, 2) (11-15, 21-25) ) can collect sensor data from In one embodiment, the DB server 31 operates by using a subscription- and publication-based messaging protocol, such as the MQTT protocol, for example, and sends messages corresponding to the sensor data collected from the gateway devices 10 and 20 to each topic of the message. It can be extracted by subscription method and stored in the time series DB.

Next, the control server detects error data from the acquired sensing value (S820). Specifically, for example, the analysis server 33 of the smart farm control system 3 for outdoor use analyzes the data of the time series DB, and the web service server 32 of the smart farm control system 3 for the field generates the analysis result. The analyzed information can be provided to the user device 4 that accesses the smart farm control system 3 for the field. At this time, the analysis information may be a visualization of the sensor data in a format for simply being expressed through a web service, or may be secondary information obtained by processing the sensor data. The analysis server 33 may detect an abnormal value of the sensor data obtained from the plurality of sensor node devices 11-15 and 21-25. For example, the analysis server 33 may detect the corresponding sensed value as an outlier when the sensed value collected from a specific sensor node shows an error of more than a certain range compared to the sensed value of one or more other sensor nodes. The predetermined range of the sensed value may be a predetermined predetermined value.

The control server determines whether the corresponding sensor node is faulty based on the detected error data of the specific sensor node (S830). In one embodiment, as described above, when the sensed value collected from a specific sensor node differs from the sensing value of one or more other sensor nodes by more than a predetermined value, the control server may determine the specific sensor node device as a failure. there is. In another embodiment, the control server refers to FIGS. 5A to 6C , the sensing value collected from a specific sensor node according to the drainage environment according to the topography of the soil differs from the sensing value of one or more other sensor nodes by a predetermined value or more. Even if it fails, it is possible to track and observe changes over time without judging it as a failure. As shown in FIG. 6C , even if an abnormal value in which soil moisture increases even after watering is detected at a sensor node located at a position with a low drainage capacity near the end point of the water movement direction, the soil through a moisture absorption process before the water supplied is drained due to the nature of the terrain. Since it is an area where humidity is expected to increase, such an outlier may not be recognized as a failure of the sensor node. That is, a pattern of changes in output values (eg, changes in soil moisture) according to a specific event (eg, water supply) of the past sensor node is learned, and accordingly, for an outlier at a level that does not deviate from the pattern, the sensor node It may not be determined as a failure, or after tracking the output value of the sensor node for a certain period of time, the determination may be withheld to determine whether the sensor node has failed.

When the control server determines that the sensor node is malfunctioning, the control server corrects or excludes the error data value from the corresponding sensor node to determine the location and environment (soil humidity, nutrients, soil condition, etc.) of the crop based on the sensed value. (eg, lack of moisture, lack of nutrients, developmental state, etc.) is estimated ( S840 ). Since the method for estimating the state of crops may be performed similarly to the step S720 of estimating the state of crops of FIG. 7 , error data may be corrected or excluded from the collected sensing values.

In one embodiment, the analysis server 33 may correct for a sensed value showing a value outside a certain range, and the correction for the sensed value may be determined based on the average or median value of the sensed values of one or more adjacent sensor nodes. can In this case, the number of sensor nodes for calculating the average or median value may be set in consideration of the arrangement of the sensor nodes, the topography of the corresponding area, and the like. Also, according to an embodiment, the correction of the sensed value is determined according to the type of sensing data, and when referring to the sensing value of another sensor node, the weight may be determined according to the type of the sensing data. The types of sensing data may be moisture content in soil, nutrient content in soil, soil temperature, atmospheric pressure, temperature, soil internal image, crop image, and surrounding image. For example, the average of the sensing values disposed upstream and downstream may be used for the moisture content in the soil, and the sensing values of sensor nodes installed at the same altitude may be set to have a relatively low weight. In an embodiment, in order to correct a sensed value, sensor nodes sharing a specific characteristic may be grouped during normal operation of the noge mesh network to use the sensed values of the sensor nodes in the grouped group. For example, a specific characteristic as a criterion for grouping may be an output value pattern, and sensor nodes having the same output value pattern may be grouped into one group. That is, the sensed value of the sensor node determined to be a failure outputting error data may be corrected to have a similar pattern based on the sensed value of the group to which the corresponding sensor node belongs. A group of sensor nodes may or may not be adjacent. Here, the output value means the sensed value of each sensor node, that is, a value finally output by the sensor node.

In another embodiment, the analysis server 33 may determine whether the sensor node has departed based on the relative distance information between the sensor nodes, and may determine a failure (sensing value reliability) based on the departure distance. Due to the nature of the smart farm, the sensor node installed in the soil may be moved due to a large amount of precipitation, etc., and if the data obtained from the sensor node moved from the original location is used as it is, the reliability of irrigation control may decrease. . The distance between the sensor nodes may be used to detect whether a sensor is raised out of the ground or an inclined sensor in consideration of 3D information as well as a distance on a plane. To this end, two or more distance measuring sensors may be attached to each sensor node. The distance measuring sensor may be one of various types of sensors, such as an ultrasonic sensor, a lidar sensor, and a laser sensor. At least one of the two or more distance measuring sensors may have a sensor node attached to a part outside the soil surface. For example, in the analysis server 33, the distance between the upper distance measuring sensor and the first neighboring sensor node to which a specific sensor node is adjacent is greater than the distance between the lower distance measuring sensors, and the second neighboring sensor node and the upper distance measuring sensor When the distance between the lower distance measuring sensors is closer than the distance between the lower distance measuring sensors, it may be determined that the corresponding sensor node is a sensor inclined toward the second neighboring sensor node. In one embodiment, according to this, the analysis server 33 may continuously collect the sensed values without using the sensed values of the sensors separated by a predetermined distance or more for control. In addition, the analysis server 33 may be used for control from then when the collected data has a certain pattern. For example, whether the pattern has a certain pattern may be determined based on sensing values and similarities of adjacent sensors.

When the control server determines that the sensor node is not malfunctioning, the abnormal data from the corresponding sensor node is also regarded as sensing the current state rather than the sensor abnormality, and based on the sensed data collected from a plurality of sensor nodes, the state of crops (eg For example, water deficiency, nutrient deficiency, developmental state, etc.) is estimated (S850). The method of estimating the state of the crop may be performed similarly to the step of estimating the state of the crop ( S720 ) of FIG. 7 described above.

Thereafter, the control server may supply raw water and nutrient solution according to the state of the crops estimated through the irrigation device (S860). This step may be performed similarly to the step of FIG. 7 described above.

In one embodiment, the web service server 32 of the smart farm control system 3 for the field transmits the collected sensing data (error data is corrected or excluded) to the user device 4, and the user device 4 It is also possible to receive a control input for controlling the smart farm from The user's control input is converted into control data in the form of an MQTT protocol-based message through the DB server 31, transmitted to the gateway devices 10, 20 in the issuance method, and the corresponding smart data from the gateway devices 10, 20 It may be transmitted to devices in the farm, for example, sensor node devices 11-15, 21-25, irrigation devices 19, 29, and the like. Error data is detected by the analysis server 33 , and analysis information processed by correcting or excluding the error data may be transmitted to the user device 4 , and the irrigation device may be configured to receive the error data from the user device 4 based on the analysis information. The method, location, and amount of supply of raw water and nutrient solution may be controlled by the received control signal.

The embodiments described above may be at least partially implemented as a computer program and recorded in a computer-readable recording medium. A computer-readable recording medium in which a program for implementing the embodiments is recorded includes all types of recording devices in which computer-readable data is stored. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, and optical data storage devices. In addition, the computer-readable recording medium may be distributed in a network-connected computer system, and the computer-readable code may be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the present embodiment may be easily understood by those skilled in the art to which the present embodiment belongs.

Although the present specification described above has been described with reference to the embodiments shown in the drawings, this is merely exemplary, and those skilled 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 specification. Accordingly, the true technical protection scope of the present specification should be defined to include other implementations, other embodiments, and equivalents to the claims by the spirit of the appended claims.

Claims (8)

A method of operating a control server for controlling irrigation in an open-air smart farm, the method comprising:
receiving a sensing value for crop-related information in the open-air smart farm from a plurality of sensor nodes installed in a mesh form at regular intervals in the open-air smart farm;
estimating a state of a crop based on the sensing values obtained from the plurality of sensor nodes and location information of each sensor node; and
Including; controlling a irrigation device for supplying raw water and nutrient solution based on the estimated state of the crops;
The step of estimating the state of the crop,
detecting error data among the sensing values obtained from the plurality of sensor nodes, and diagnosing whether a sensor node that has transmitted the error data has a failure;
The step of diagnosing whether the sensor node that has transmitted the error data is faulty,
Based on the output value patterns of the plurality of sensor nodes, the movement direction and drainage capacity of water in the soil around each sensor node are estimated, and the error data is sensed according to the drainage capacity of the soil in consideration of the movement direction and drainage capacity of the water If it is determined that there is an error, it is determined that the sensor node that has transmitted the error data is not a failure,
The output value pattern is for the moisture value in the soil, the operating method of the control server.
The method of claim 1,
The step of diagnosing whether the sensor node that has transmitted the error data is faulty,
When the sensed value of the sensor node that has transmitted the error data shows a difference value outside the preset range from the sensed value of a predetermined number of other sensor nodes among the plurality of sensor nodes, it is determined that the sensor node that has transmitted the error data is defective A method of operating a control server, comprising the step of:
3. The method of claim 2,
The step of estimating the state of the crop,
Excluding the sensed value of the sensor node determined as the failure from analysis in order to estimate the state of the crop, or correcting the sensed value of the sensor node determined as the failure,
The step of correcting the sensed value,
and determining different weights according to the type of the sensed value of the sensor node determined as the failure.
4. The method of claim 3,
The step of correcting the sensed value,
Comprising the step of correcting the sensed value based on the sensed value of the group sensor node grouped into one group with the output value pattern of the plurality of sensor nodes belonging to the same category as the sensor node determined as the failure, the control server how it works.
delete The method of claim 1,
Each of the plurality of sensor nodes includes two or more distance measuring sensors,
The step of estimating the state of the crop,
The distance between the plurality of sensor nodes is calculated using the sensing values of the two or more distance measuring sensors, respectively, to detect a sensor node deviated from the ground or inclined, and the sensed value of the detected sensor node determines the state of the crop A method of operating a control server comprising the step of excluding from analysis to infer.
7. The method of claim 6,
The step of estimating the state of the crop,
When it is determined that the sensed value collected from the detected sensor node for a certain period of time has a certain pattern, estimating the state of the crop by using the sensed value collected from the detected sensor node, Operation of the control server method.
A computer program stored in a computer-readable recording medium to execute the method according to any one of claims 1 to 4 and 6 to 7 in combination with hardware.

Images