Method for automatically controlling smart farm and system therefor

Abstract

The present disclosure relates to a method for automatically controlling a smart farm and a system therefor. The method according to an embodiment of the present disclosure may comprise the steps of: receiving sensing data for at least one environmental factor for a plurality of sub-regions of a plurality of smart farms from at least one sensing device, wherein the sub-regions are configured by dividing cultivation regions of the smart farms into a plurality of regions on the basis of a location and a reference area; comparing sensing data for a first sub-region of a first smart farm with sensing data for a second sub-region of at least one other second smart farm corresponding to the first sub-region; and determining whether the first sub-region corresponds to an abnormal operation state, on the basis of a comparison result of the sensing data for the first sub-region and the second sub-region.

Description

Smart farm automatic control method and system thereof

[0001] The technical idea of ​​the present disclosure relates to a smart farm automatic control method and system thereof.

[0002] A smart farm is a farm that integrates information and communication technology into the agricultural sector to remotely or automatically manage the crop growth environment. It is a representative icon of the facility horticulture sector, which is attracting attention as part of the Fourth Industrial Revolution.

[0003] Smart farms provide the necessary conditions for crop growth and control the greenhouse environment to maximize crop yield. Specifically, based on information about temperature, humidity, solar radiation, and carbon dioxide concentration within the greenhouse, they control various environmental factors within the greenhouse to create an environment conducive to plant growth.

[0004] As a prior art related to environmental factor control of a smart farm, Korean Patent Registration No. 699162 has been presented. The technology discloses a ubiquitous-based farm management system and method thereof, and includes a management terminal for detecting environmental factors inside a house to be managed using a communication network and controlling the temperature and humidity inside the house, a farm management server for comparing the environmental factors received from the management terminal with farm management data required for cultivating or raising crops or livestock managed in the house, transmitting the comparison result to a mobile terminal through a communication network, and transmitting a control signal received from the mobile terminal to the management terminal.

[0005] However, these conventional technologies have limitations in that they only control a smart farm based on information about environmental factors collected from a single smart farm, and thus cannot provide information for comparing sensing data of various environmental factors and growth status of multiple smart farms, or provide more effective control of smart farms based on sensing data from other smart farms.

[0006] The technical idea of ​​the present disclosure is to solve the above problem, and the purpose is to provide a smart farm automatic control method and system thereof.

[0007] The technical tasks to be achieved by the smart farm automatic control method and system according to the technical idea of ​​the present disclosure are not limited to the tasks mentioned above, and other tasks not mentioned will be clearly understood by those skilled in the art from the description below.

[0008] According to one aspect of the technical idea of ​​the present disclosure, a smart farm automatic control method may include the steps of: receiving sensing data for at least one environmental factor for a plurality of sub-regions of a plurality of smart farms from at least one sensing device, wherein the sub-regions are set by dividing a cultivation area of ​​the smart farm into a plurality of regions based on a location and a reference area; comparing sensing data for a first sub-region of a first smart farm with a second sub-region of at least one other second smart farm corresponding to the first sub-region; and determining whether the first sub-region corresponds to an abnormal operation state based on a result of the comparison of the sensing data for the first sub-region and the second sub-region.

[0009] According to an exemplary embodiment, the environmental factor may include at least one of temperature, humidity, illuminance, air content, and soil component content.

[0010] According to an exemplary embodiment, the step of determining whether the above-described abnormal operating state is present may be performed by determining the above-described first sub-region to be in an abnormal operating state if the sensing value for at least one environmental factor of the above-described first sub-region is more than a predetermined difference from a reference value calculated based on sensing data of the above-described second sub-region.

[0011] According to an exemplary embodiment, the reference value may be an average value or a median value of the sensing values ​​of the environmental factor of at least one of the second sub-regions.

[0012] According to an exemplary embodiment, if the first sub-area is determined to be in an abnormal operating state, the method may further include operating an environmental control device for the first sub-area so that at least one environmental factor of the first sub-area reaches the reference value.

[0013] According to an exemplary embodiment, the method further includes: comparing sensing data for at least one environmental factor of the first sub-area with at least one other sub-area of ​​the first smart farm excluding the first sub-area; and determining whether the first sub-area corresponds to an abnormal suspected state based on a result of the comparison of the sensing data for the first sub-area with the other sub-area, wherein the comparing the sensing data for the first sub-area and the second sub-area and the determining whether the abnormal operating state corresponds to the abnormal suspected state may be performed when the first sub-area is determined to be in an abnormal suspected state.

[0014] According to an exemplary embodiment, if the first sub-area is determined to be in an abnormal operating state, a step of transmitting a notification to an administrator terminal may be further included.

[0015] According to one aspect of the technical idea of ​​the present disclosure, a smart farm automatic control system comprises: at least one processor; and a memory storing a program executable by the processor, wherein the processor, by executing the program, receives sensing data for at least one environmental factor for a plurality of sub-regions of a plurality of smart farms from at least one sensing device, compares sensing data for a first sub-region of a first smart farm with a second sub-region of at least one other second smart farm corresponding to the first sub-region, and determines whether the first sub-region corresponds to an abnormal operation state based on a comparison result of the sensing data for the first sub-region and the second sub-region, and the sub-regions can be set by dividing a cultivation area of ​​the smart farm into a plurality of regions based on a location and a reference area.

[0016] According to the smart farm automatic control method and system according to embodiments of the technical idea of ​​the present disclosure, it is possible to effectively detect abnormal operation of a sub-area of ​​a smart farm based on sensing data for another smart farm, and perform environmental control based thereon.

[0017] The effects that can be obtained by the smart farm automatic control method and system according to the technical idea of ​​the present disclosure are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by a person having ordinary skill in the technical field to which the present disclosure belongs from the description below.

[0018] To more fully understand the drawings cited in this disclosure, a brief description of each drawing is provided.

[0019] FIG. 1 is a drawing for explaining a smart farm automatic control system according to an embodiment of the present disclosure.

[0020] FIG. 2 is a block diagram briefly illustrating the configuration of a smart farm automatic control server according to an embodiment of the present disclosure.

[0021] FIG. 3 is a flowchart for explaining a smart farm automatic control method according to an embodiment of the present disclosure.

[0022] FIG. 4 is a drawing for explaining a plurality of sub-areas that divide a smart farm according to an embodiment of the present disclosure.

[0023] FIG. 5 is a flowchart for explaining a smart farm automatic control method according to an embodiment of the present disclosure.

[0024] The technical concept of this disclosure is susceptible to various modifications and various embodiments. Specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the technical concept of this disclosure to specific embodiments, and it should be understood that all modifications, equivalents, and alternatives fall within the scope of the technical concept of this disclosure.

[0025] When explaining the technical concepts of the present disclosure, detailed descriptions of related known technologies will be omitted if they are deemed to unnecessarily obscure the gist of the present disclosure. Furthermore, numbers (e.g., "first," "second," etc.) used in the description of the present disclosure are merely identifiers used to distinguish one component from another.

[0026] Additionally, in the present disclosure, when a component is referred to as being “connected” or “connected” to another component, it should be understood that the component may be directly connected or connected to the other component, but may also be connected or connected via another component in between, unless there is a specific description to the contrary.

[0027] In addition, terms such as “~part,” “~device,” “~sub-subject,” and “~module” described in the present disclosure mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software, such as a processor, a microprocessor, a microcontroller, a central processing unit (CPU), a graphics processing unit (GPU), an accelerated processor unit (APU), a digital signal processor (DSP), an application specific integrated circuit (ASIC), and a field programmable gate array (FPGA).

[0028] And it is to be clarified that the division of components in this disclosure is merely a division based on the main function each component is responsible for. That is, two or more components described below may be combined into a single component, or a single component may be further divided into two or more components with more detailed functions. In addition to its own main function, each component described below may additionally perform some or all of the functions performed by other components, and of course, some of the main functions of each component may be exclusively performed by other components.

[0029]

[0030] The method according to an embodiment of the present disclosure may be performed on a personal computer, workstation, server computer device, etc. having computing capabilities, or on a separate device for the same.

[0031] Additionally, the method may be performed on one or more computing devices. For example, at least one or more steps of the method according to an embodiment of the present disclosure may be performed on a client device, and other steps may be performed on a server device. In such a case, the client device and the server device may be connected via a network to transmit and receive computational results. Alternatively, the method may be performed using distributed computing technology.

[0032]

[0033] Hereinafter, embodiments of the present disclosure will be described in detail one by one.

[0034]

[0035] FIG. 1 is a drawing for explaining a smart farm automatic control system according to an embodiment of the present disclosure.

[0036] Referring to FIG. 1, the smart farm automatic control system may include a plurality of smart farms (110, 120), an administrator terminal (130), a server (200), and a network.

[0037] A plurality of smart farms (110, 120) provide space for cultivating crops and can manage the crop growth environment based on sensing data regarding at least one environmental factor. To this end, each of the plurality of smart farms (110, 120) may include at least one sensing device (10), an environmental control device (20), and a control device (30).

[0038] The sensing device (10) can detect at least one environmental factor to generate sensing data. Here, the environmental factor may include at least one of temperature, illuminance, humidity, air content, and soil component content. Accordingly, the sensor device (10) may be implemented to include at least one of a temperature sensor, an illuminance sensor, a humidity sensor, an atmospheric sensor (such as a CO2 measurement sensor), and a soil sensor (such as an EC measurement sensor, a pH measurement sensor, and an inorganic component measurement sensor). However, the types of these environmental factors and sensors are merely examples and are not limited thereto, and various sensors may be applied to detect various environmental factors related to crop growth.

[0039] The environmental control device (20) can adjust the environment inside the smart farm (110, 120) to be suitable for crop growth under the control of the control device (10). For example, the environmental control device (20) can include various devices such as a heating and cooling device, a lighting device, a water spray device, a window opening and closing device, and a nutrient solution supply device.

[0040] The control device (30) can control the operation of the environmental control device (20) based on sensing data or based on control signals and / or information transmitted from the server (200). To this end, the control device (30) can include a communication unit, an input unit, a memory, and at least one processor.

[0041] The communication unit can transmit and receive various data and signals by being connected to internal devices (sensing device (110) and environmental control device (20) etc.) of the smart farm (110, 120) or external devices (manager terminal (130) and server (200) etc.) via wired or wireless communication. For example, the communication unit can transmit sensing data received from the sensing device (110) to the server (200) and receive a signal for controlling the environmental control device (20) from the server (200).

[0042] The input unit can receive various commands from the manager of the smart farm (110, 120). For example, the input unit can be implemented through a mouse, keypad, button, touch screen, etc. Depending on the command received by the input unit, the control device (30) can control the operation of the environmental control device (20).

[0043] The memory stores, at least temporarily, various programs and data for the operation of the control device (30), and the processor can perform various operations of the control device (30) by executing the programs stored in the memory.

[0044] In an embodiment, a smart farm (110, 120) may include multiple sub-areas. In this case, the sub-areas may be established by dividing the crop cultivation area of ​​the smart farm (110, 120) into multiple areas according to predetermined criteria (at least one of location and area). In this case, a sensing device (10) and / or an environmental control device (20) may be placed in each sub-area to detect environmental factors of the corresponding sub-area and may be implemented to control the environment, such as temperature and humidity.

[0045] The administrator terminal (130) is a terminal of an administrator who manages at least one of a plurality of smart farms (110, 120), and may include any device that can connect to a network. For example, the administrator terminal (130) may include a smartphone, a tablet, a PC, a laptop, a home appliance device, a wearable device, etc. In an embodiment, the administrator terminal (130) may receive data (measurement data of environmental factors, image data, etc.) regarding the growing environment of at least one smart farm (110, 120) from a control device (30) and / or a server (200) via wired or wireless communication, or transmit at least one command for controlling the environment of the smart farm (110, 120) to the control device (30) or the server (200).

[0046] The server (200) provides computing resources, storage resources, etc. to provide certain services (monitoring, control, etc. for smart farms (110, 120)) to clients directly through a network or through another external server. For example, the server (200) may execute various applications to directly provide various services to smart farms (110, 120) and / or administrator terminals (130) or may act as an intermediary for external servers to provide the services. Here, the client may include a control device (30) and an administrator terminal (130) of the smart farm (110, 120). In an embodiment, the server (200) may include various types of servers, such as an application server, a control server, a data storage server, and a server for providing specific functions. In addition, the server (200) may process a process alone, or multiple servers may process the process.

[0047] In an embodiment, the server (200) receives sensing data of environmental factors for sub-areas of a plurality of smart farms (110, 120), and compares the sensing data of corresponding sub-areas of each smart farm (110, 120), thereby determining whether at least one of the sub-areas of a specific smart farm (110, 120) is operating abnormally.

[0048] The network may include all networks to which the control device (30), administrator terminal (130), and server (200) can connect, such as the Internet, intranet, extranet, LAN (Local Area Network), MAN (Metropolitan Area Network), and WAN (Wide Area Network).

[0049]

[0050] FIG. 2 is a block diagram briefly illustrating the configuration of a smart farm automatic control server according to an embodiment of the present disclosure.

[0051] The communication unit (210) can receive input data (such as sensing data on environmental factors) for performing automatic control of a smart farm. The communication unit (210) can include a wired or wireless communication unit. When the communication unit (210) includes a wired communication unit, the communication unit (210) can include one or more components that enable communication via a Local Area Network (LAN), a Wide Area Network (WAN), a Value Added Network (VAN), a Mobile Radio Communication Network, a satellite communication network, and a combination thereof. In addition, when the communication unit (210) includes a wireless communication unit, the communication unit (210) can wirelessly transmit and receive data or signals using cellular communication, wireless LAN (e.g., Wi-Fi), etc. In an embodiment, the communication unit can transmit and receive data or signals with an external device or an external server under the control of the processor (240).

[0052] The input unit (220) can receive various user commands through external manipulation. For this purpose, the input unit (220) may include or be connected to one or more input devices. For example, the input unit (220) may be connected to various input interfaces, such as a keypad or mouse, to receive user commands. For this purpose, the input unit (220) may include an interface, such as a Thunderbolt port, as well as a USB port. In addition, the input unit (220) may include or be combined with various input devices, such as a touchscreen or buttons, to receive external user commands.

[0053] The memory (230) can store programs and / or program commands for the operation of the processor (240), and can temporarily or permanently store input / output data. The memory (230) can include at least one type of storage medium among flash memory type, hard disk type, multimedia card micro type, card type memory (e.g., SD or XD memory, etc.), RAM, SRAM, ROM, EEPROM, PROM, magnetic memory, magnetic disk, and optical disk.

[0054] Additionally, the memory (230) can store various network functions and algorithms, and can store various data, programs (one or more instructions), applications, software, commands, codes, etc. for driving and controlling the server (200).

[0055] The processor (240) can control the overall operation of the server (200). The processor (240) can execute one or more programs stored in the memory (230). The processor (240) may refer to a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to the technical concepts of the present disclosure are performed.

[0056] In an embodiment, the processor (240) receives sensing data for at least one environmental factor for a plurality of sub-areas of a plurality of smart farms from at least one sensing device, compares the sensing data for a first sub-area of ​​a first smart farm with a second sub-area of ​​at least one other second smart farm corresponding to the first sub-area, and determines whether the first sub-area corresponds to an abnormal operating state based on a result of the comparison of the sensing data for the first sub-area and the second sub-area. Here, the environmental factor may include at least one of temperature, humidity, illuminance, air content, and soil component content.

[0057] In an embodiment, the processor (240) may determine that the first sub-region is in an abnormal operating state if the sensing value for at least one environmental factor of the first sub-region is greater than a predetermined difference from a reference value calculated based on sensing data of the second sub-region. Here, the reference value may be an average value or a median value of the sensing values ​​of at least one environmental factor of the second sub-region.

[0058] In an embodiment, when the processor (240) determines that the first sub-region is in an abnormal operating state, the processor (240) may operate an environmental control device for the first sub-region so that at least one environmental factor of the first sub-region reaches a reference value.

[0059] In an embodiment, the processor (240) compares sensing data for at least one environmental factor of a first sub-area and at least one other sub-area of ​​a first smart farm excluding the first sub-area, determines whether the first sub-area corresponds to an abnormal suspected state based on a result of the comparison of the sensing data for the first sub-area and the other sub-area, and compares the sensing data for the first sub-area and the second sub-area when the first sub-area is determined to be in an abnormal suspected state.

[0060] In an embodiment, the processor (240) may transmit a notification to the administrator terminal when the first sub-area is determined to be in an abnormal operating state.

[0061]

[0062] FIG. 3 is a flowchart for explaining a smart farm automatic control method according to an embodiment of the present disclosure.

[0063] In step S310, the server (200) can receive sensing data for at least one environmental factor for multiple sub-areas of multiple smart farms (110, 120) from at least one sensing device (10).

[0064] For example, a sensing device (10) provided in each of a plurality of sub-areas of each smart farm (110, 120) detects environmental factors (temperature, humidity, illuminance, etc.) for each sub-area to generate sensing data, and this sensing data can be transmitted to a server (200) through a control device (30).

[0065] At this time, the plurality of smart farms (110, 120) may include a first smart farm (110) and at least one second smart farm (120). The first smart farm (110) and the second smart farm (120) may be farms that cultivate the same crop.

[0066] Additionally, as illustrated in FIG. 4, the first smart farm (110) and the second smart farm (120) can be divided into multiple sub-regions. That is, by dividing the cultivation area of ​​the smart farm (110) into multiple regions based on location and reference area, multiple sub-regions can be divided.

[0067] At step S320, the server (200) can compare sensing data for the first sub-area of ​​the first smart farm (110) and the second sub-area of ​​at least one other second smart farm (120) corresponding to the first sub-area.

[0068] For example, the server (200) can compare sensing data (temperature measurement values, humidity values, illuminance values, etc.) of sub-area A of the first smart farm (110) and sub-area A' of the second smart farm (120) corresponding thereto.

[0069] At step S330, the server (200) can determine whether the first sub-area of ​​the first smart farm (110) is in an abnormal operating state based on the comparison result of the sensing data.

[0070] In an embodiment, the server (200) may determine that the first sub-area is in an abnormal operating state when a sensing value (temperature measurement value, humidity value, illuminance value, etc.) for at least one environmental factor of the first sub-area of ​​the first smart farm (110) is more than a predetermined difference from a reference value calculated based on sensing data of the second sub-area of ​​at least one second smart farm (120). Here, the reference value may be an average value or a median value of the sensing values ​​of the second sub-areas of a plurality of second smart farms (120).

[0071] For example, if the temperature measurement value of sub-area A of the first smart farm (110) is greater than a certain difference (for example, a difference of 10°C or more) from the average of the temperature measurement values ​​of sub-areas A' of a plurality of second smart farms (120), the server (200) can determine that sub-area A of the first smart farm (110) is in an abnormal operating state.

[0072] In step S330, if the server (200) determines that the first sub-area of ​​the first smart farm (110) is in an abnormal operating state, the server (200) can operate the environmental control device (20) for the first sub-area so that at least one environmental factor of the first sub-area reaches a reference value.

[0073] For example, the server (200) can operate the environmental control device (20) for the first sub-area by transmitting a predetermined control signal to the control device (30) of the first smart farm (110). That is, if the reference value is 25°C and the temperature measurement value of the first sub-area is 15°C, the server (200) can operate the heating device so that the temperature of the first sub-area reaches the reference temperature value.

[0074] At step S340, the server (200) can send a notification of abnormal operation to the administrator terminal (130).

[0075] That is, the server (200) can notify the manager of the first smart farm (110) of the abnormal operation of the first sub-area, thereby allowing the manager to take appropriate action (manual control of the environmental control device (20), maintenance, etc.).

[0076] Meanwhile, the method (300) illustrated in FIG. 3 is exemplary and may be modified in various ways depending on the embodiment. In an embodiment, steps S340 and S350 may be performed simultaneously or in a reversed order. Furthermore, in an embodiment, only one of steps S340 and S350 may be performed. That is, for example, if an abnormal operation state is determined in step S320, the process may proceed directly to step S350 without performing step S340, so that the server (200) may transmit a notification of the abnormal operation to the administrator terminal (130).

[0077]

[0078] FIG. 5 is a flowchart for explaining a smart farm automatic control method according to an embodiment of the present disclosure.

[0079] The method (500) may further include steps S510 and S520 in addition to the method (300) described above with reference to FIG. 3.

[0080] In step S310, when sensing data for multiple sub-areas of multiple smart farms (110, 120) is received, the process proceeds to step S510, where the server (200) can compare sensing data for at least one environmental factor of the first sub-area of ​​the first smart farm (110) among the multiple smart farms (110, 120) and at least one other sub-area excluding the first sub-area.

[0081] For example, the server (200) can compare the temperature measurement value of sub-area A of the first smart farm (110) with the temperature measurement values ​​of sub-area B, sub-area C, and / or sub-area D located around sub-area A.

[0082] Next, in step S520, the server (200) can determine whether the first sub-area corresponds to an abnormal suspected state based on the comparison result of the sensing data.

[0083] Specifically, if the sensing value of the first sub-area is more than a certain difference from the sensing values ​​of other sub-areas, their average value, or their median value, the server (200) can determine that the first sub-area is in an abnormal suspected state.

[0084] For example, the server (200) may determine that the first sub-area is in an abnormal state if the temperature measurement value of sub-area A of the first smart farm (110) does not have similar temperature measurement values ​​to those of other sub-areas B, C, and D, and there is a difference greater than a certain level.

[0085] That is, if the environmental control device (30) of the first smart farm (110) is completely broken down, power is not supplied, or maintenance is performed, the sensing value for a specific environmental factor is measured to be equally low or high across the entire sub-area or multiple sub-areas. In such a case, the process of determining whether or not it is operating abnormally through comparison with another second smart farm (120) or controlling the environmental control device (30) based on this is unnecessary.

[0086] In step S520, if it is determined that the first sub-area corresponds to an abnormal suspected state, the process proceeds to step S320, and the server (200) can perform a series of processes to compare the sensing data of the first sub-area with the sensing data of the second sub-area of ​​another second smart farm (120) corresponding to the first sub-area.

[0087]

[0088] The method according to the embodiment of the present disclosure may be implemented in the form of program commands that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program commands, data files, data structures, etc., alone or in combination. The program commands recorded on the medium may be those specially designed and configured for the present disclosure or may be those known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program commands such as ROMs, RAMs, and flash memories. Examples of program commands include not only machine language codes generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter, etc.

[0089] Additionally, the methods according to the disclosed embodiments may be provided as a computer program product. The computer program product may be traded as a product between a seller and a buyer.

[0090] A computer program product may include a software program and a computer-readable storage medium on which the software program is stored. For example, a computer program product may include a product in the form of a software program (e.g., a downloadable app) distributed electronically by an electronic device manufacturer or through an electronic marketplace (e.g., Google Play Store, App Store). For electronic distribution, at least a portion of the software program may be stored on a storage medium or temporarily created. In this case, the storage medium may be a storage medium of a manufacturer's server, an electronic marketplace server, or a relay server that temporarily stores the software program.

[0091] In a system comprising a server and a client device, the computer program product may include a storage medium of the server or a storage medium of the client device. Alternatively, if a third device (e.g., a smartphone) exists that communicates with the server or the client device, the computer program product may include a storage medium of the third device. Alternatively, the computer program product may include a software program itself that is transmitted from the server to the client device or the third device, or from the third device to the client device.

[0092] In this case, one of the server, the client device, and the third device may execute the computer program product to perform the method according to the disclosed embodiments. Alternatively, two or more of the server, the client device, and the third device may execute the computer program product to perform the method according to the disclosed embodiments in a distributed manner.

[0093] For example, a server (e.g., a cloud server or an artificial intelligence server, etc.) may execute a computer program product stored on the server, thereby controlling a client device in communication with the server to perform a method according to the disclosed embodiments.

[0094]

[0095] Although the embodiments have been described in detail above, the scope of the present disclosure is not limited thereto, and various modifications and improvements made by those skilled in the art using the basic concepts of the present disclosure defined in the following claims also fall within the scope of the present disclosure.

Claims

1. As a smart farm automatic control method, A step of receiving sensing data for at least one environmental factor for a plurality of sub-areas of a plurality of smart farms from at least one sensing device, wherein the sub-areas are set by dividing the cultivation area of ​​the smart farm into a plurality of areas based on a location and a reference area; A step of comparing sensing data for a first sub-area of ​​a first smart farm and a second sub-area of ​​at least one other second smart farm corresponding to the first sub-area; and A method comprising a step of determining whether the first sub-area corresponds to an abnormal operating state based on a comparison result of sensing data for the first sub-area and the second sub-area.

2. In paragraph 1, A method wherein the above environmental factors include at least one of temperature, humidity, illuminance, air content and soil component content.

3. In paragraph 1, The step of determining whether the above abnormal operating state is applicable is as follows: A method performed by determining that the first sub-area is in an abnormal operating state when the sensing value for at least one environmental factor of the first sub-area is more than a predetermined difference from a reference value calculated based on sensing data of the second sub-area.

4. In paragraph 3, A method wherein the reference value is an average value or a median value of the sensing values ​​of the environmental factor of at least one of the second sub-regions.

5. In paragraph 3, A method further comprising the step of operating an environmental control device for the first sub-region so that at least one environmental factor of the first sub-region reaches the reference value when the first sub-region is determined to be in an abnormal operating state.

6. In paragraph 1, A step of comparing sensing data for at least one environmental factor of the first sub-area and at least one other sub-area of ​​the first smart farm excluding the first sub-area; and Further comprising a step of determining whether the first sub-area corresponds to an abnormal suspected state based on a comparison result of sensing data for the first sub-area and the other sub-area, A method, wherein the step of comparing sensing data for the first sub-area and the second sub-area and the step of determining whether the first sub-area corresponds to an abnormal operating state are performed when the first sub-area is determined to be in an abnormal suspected state.

7. In paragraph 1, A method further comprising the step of transmitting a notification to an administrator terminal when the first sub-area is determined to be in an abnormal operating state.

8. In the smart farm automatic control system, at least one processor; and A memory for storing a program executable by the processor, The processor, by executing the program, receives sensing data for at least one environmental factor for a plurality of sub-areas of a plurality of smart farms from at least one sensing device, compares sensing data for a first sub-area of ​​a first smart farm with a second sub-area of ​​at least one other second smart farm corresponding to the first sub-area, and determines whether the first sub-area corresponds to an abnormal operating state based on a result of the comparison of the sensing data for the first sub-area and the second sub-area. The above sub-area is a system that is set by dividing the cultivation area of ​​the smart farm into multiple areas based on location and reference area.

9. A computer program stored in a recording medium for executing any one of the methods of paragraphs 1 to 7.

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