KR20140132873A - Apparatus, System and Method based on Ontology for providing growth environments to crops - Google Patents

Apparatus, System and Method based on Ontology for providing growth environments to crops Download PDF

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KR20140132873A
KR20140132873A KR1020130051921A KR20130051921A KR20140132873A KR 20140132873 A KR20140132873 A KR 20140132873A KR 1020130051921 A KR1020130051921 A KR 1020130051921A KR 20130051921 A KR20130051921 A KR 20130051921A KR 20140132873 A KR20140132873 A KR 20140132873A
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information
crop
environment
growth
environmental
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신창선
박장우
조경룡
조용윤
이명배
김홍근
김태형
배남진
이영석
양수영
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순천대학교 산학협력단
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Abstract

Disclosed are an apparatus, a system and a method for controlling growth environment automatically by being linked with optimum growth information. The apparatus according to an embodiment of the present invention may include: a crop database where optimum growth information as to crop is stored; an environment monitoring part for monitoring surrounding environment information related with the crop; an environment control part for controlling plantation environment of crop according to an established control point; and a control part which receives optimum growth information from an external server and then stores the received optimum growth information in the crop database, or generates optimum growth information and then transmits the generated optimum growth information to the server, and sets the control point by comparing the optimum growth information with the environment information.

Description

Technical Field [0001] The present invention relates to an ontology-based crop growth environment management apparatus, a system, and a method,

The present invention relates to a method and system for providing an optimal growth environment for each crop when cultivating a crop in a greenhouse or plant plant capable of cultivating the plant, and more particularly, The present invention relates to a method for continuously providing an environment in which crops can best grow by controlling control devices capable of controlling a greenhouse environment based on ontology and a system and an implementation method therefor.

Recently, agricultural service technologies have been developed into U-agricultural technology that is blended with the latest IT technologies. This technique has been suggested as a method for cultivating the crops in the existing facility cultivation environment to create the optimal growth environment for any crop.

Generally, the crop growth environment control services in the greenhouse can set the control device on the basis of time, and it is often manually controlled by the manager's empirical judgment. Time-based control services can not take into account variables such as weather deterioration in an environmentally-affected greenhouse environment. If the administrator is experienced in the crops currently being cultivated, he may set a control point (Set-point) of the control devices based on the manager's experiential knowledge. However, this is possible for farmers who have experienced cultivation of specific crops, and there are many difficulties for ordinary farmers. In addition, farmers who have experience with specific crops can not easily set control points for optimal growth conditions for crops that have not yet been cultivated.

An apparatus, system, and method are disclosed in which the cultivation environment is automatically controlled in conjunction with optimal growth information.

An apparatus according to one aspect of the present invention includes a crop database in which optimum growth information on a crop is stored, an environment monitoring unit for monitoring environmental information of the environment related to the crop, an environment control unit for controlling the cultivation environment of the crop in accordance with the set control points, And a control unit for receiving optimum growth information from an external server and storing the optimal growth information in a crop database or generating optimal growth information and transmitting the generated optimum growth information to a server and setting a control point by comparing optimal growth information and environment information.

According to another aspect, the environmental monitoring unit can sense or measure at least one of temperature, humidity, illuminance, CO 2 concentration, daylight time, and soil acidity in real time.

According to another aspect, the environmental monitoring unit can display environment information to the user in real time.

According to another aspect, the environmental control unit may include at least one of a heater, a fan, an illumination lamp, a pump, and a CO 2 generator for adjusting the cultivation environment.

According to another aspect, the control unit can set the control point such that the optimum growth information and the environment information coincide with each other.

According to another aspect of the present invention, there is provided a system including a server for storing optimum growth information related to a crop and a client communicably connected to the server, wherein the client monitors environmental information related to the crop, It is possible to adjust the cultivation environment of the crop according to the set control points, to receive and store optimal growth information from the server, to generate optimum growth information, to transmit the optimum growth information to the server, and to set the control point by comparing the optimum growth information and environment information.

According to another aspect of the present invention, there is provided a method for receiving optimal growth information related to a crop from an external server, monitoring environmental information related to a crop, comparing optimal growth information with environment information, Setting a predetermined control point, and adjusting the cultivation environment of the crop according to the set control points.

According to an aspect of the present invention, optimal growth information of a server or a client may be configured as an ontology for intelligent services based on context awareness.

In recent years, there has been a shortage of agricultural manpower due to the aging and declining agriculture population, and difficulty and avoidance of agriculture due to abnormal weather such as shortage of sunshine, abnormal temperature, and abnormal low temperature. As an alternative to this, it is necessary to cultivate a facility such as a greenhouse or a plant factory. Anyone who does not have knowledge or experience of agriculture can cultivate any crop through the system proposed in the present invention. In addition, the new paradigm and vision of agriculture can be presented through this, and since the present invention enables planned cultivation of necessary crops, it is expected to result in the stabilization of the price by controlling the production amount and the quality improvement through cultivation of the plant.

1 illustrates a crop growth environment management system according to an embodiment of the present invention.
FIG. 2 illustrates a crop growth environment management apparatus according to an embodiment of the present invention.
FIG. 3 shows optimal growth information according to an embodiment of the present invention.
4 to 7 illustrate an ontology model according to an embodiment of the present invention.
FIG. 8 illustrates a method for managing a crop growth environment according to an embodiment of the present invention.

Hereinafter, a specific example for carrying out the present invention will be described with reference to the accompanying drawings.

1 illustrates a crop growth environment management system according to an embodiment of the present invention.

1, a crop growth environment management system 100 includes a server 101 and a client 102, and the server 101 and the client 102 are connected through a communication network 103. [ The communication network 103 may be, for example, the Internet, Bluetooth, or ZigBee capable of bidirectional communication based on wired or wireless communication, but is not limited thereto.

The server 101 stores optimal growth information on the crop.

Crops can be plants that can grow plants in greenhouses or factories.

Optimal growth information can be the best environmental condition for any crop growth. For example, the optimum growth information may include identification information (crop ID) of the crop, growth factors of the crop, and growth environment data corresponding to the growth factors. The growth factors can be environmental factors such as temperature, humidity, light intensity, CO 2 concentration, sunshine hour, and soil acidity required for the growth of the crop, and the growth environment data can be a specific value for each growth factor.

According to one embodiment, optimal growth information can be defined as a plant plant ontology model for context aware intelligent services. Here, the plant plant ontology is a data model that defines all the necessary elements (crop information, sensor information, greenhouse information, control device information, etc.) necessary for environmental control of crop growth. An example of constructing a concrete ontology in a plant factory environment for a high level context aware service will be described later.

The optimum growth information of the server 101 can be continuously generated and modified by an experienced researcher or an operator. For example, the operator of the server 101 may directly generate optimum growth information, and the optimum growth information generated by the client 102 may be stored in the server 101 via the communication network 103. [

The client 102 is communicably connected to the server 101 to receive and store optimal growth information of the server 101, or to generate optimal growth information and transmit it to the server 101.

The client 102 monitors surrounding environmental information related to the crop. For example, the client 102 can be installed in a greenhouse for growing crops, and can measure temperature, humidity, illuminance, CO 2 concentration, daylight time, and soil acidity in a greenhouse in real time. According to one embodiment, the measured monitoring value may be displayed to the user in real time.

The client 102 adjusts the cultivation environment of the crop according to the set control point. For example, the client 102 can compare the optimal growth information received from the server 101 and measured environmental information, and set the control point so that the cultivation environment of the crop is optimally adjusted. For this purpose, the client 102 may include a heater, a fan, an illumination lamp, a pump, a CO 2 generator, and the like for adjusting the cultivation environment. The control point may be an operation set value of a heater, a fan, an illumination lamp, a pump, a CO 2 generator, and the like.

As an example, it is assumed that " paprika " is grown in a greenhouse in which the client 102 is installed. It is also assumed that 'paprika' grows best at 10 ° C. The client 102 receives and stores optimal growth information on 'paprika' from the server 101. For example, the optimum growth information may be 'paprika, temperature, 10 ° C'. The client 102 then measures the temperature of the greenhouse and compares it with optimal growth information. If the measurement temperature is 8 ° C, since the temperature is 2 ° C lower than the optimal growth information, the client 102 can raise the temperature of the greenhouse by 2 ° C so that the 'paprika' can grow under the optimum environmental conditions.

As another example, the server 101 and the client 102 may form an agricultural knowledge cloud using the status information generated based on the ontology, the service information provided through the service information, and the result information. For example, it is possible to upload the cultivation information of each group such as agricultural research associations, business associations, school groups, farmers' groups, etc., and share them with each other so that even those who are not experienced in agriculture can easily farm .

FIG. 2 illustrates a crop growth environment management apparatus 200 according to an embodiment of the present invention. This may be an example for the client 102 of FIG.

2, the crop growth environment management apparatus 200 is installed in a space capable of cultivating crops such as a greenhouse or a factory and includes a crop database 201, an environmental monitoring unit 202, an environment control unit 203, (204). Each functional block shown in Figure 2 is merely its functional or logical distinction. Therefore, any one function block may perform several functions, or one function may be divided into several function blocks.

The crop database 201 stores optimum growth information related to crops. Optimal growth information can be the best environmental condition for any crop growth. For example, referring to FIG. 3, the optimum growth information may include identification information of a crop, a growth factor corresponding to a crop, and growth environment data corresponding to a growth factor. In the case of the crop 'A', the growth factor can be 'temperature, humidity, roughness', and the growth environment data can be '10 ° C., 80%, 100 lux'. In other words, crop 'A' can grow best at 10 ° C, 80% humidity and 100 lux illumination conditions. This optimal growth information can be received from an external server (Fig. 1, 101). It is a matter of course that the optimum growth information described here is only an example for the sake of understanding, and various growth factors may be used in addition to the above.

Referring again to FIG. 2, the environmental monitoring unit 202 monitors surrounding environmental information related to the crop. For example, the environmental monitoring unit 202 can measure in real time the temperature, humidity, roughness CO 2 concentration, daylight time, and soil acidity in the greenhouse and display it to the user. As an example, the environment monitoring unit 202 may be configured to include various sensors and a display device.

The environment control unit 203 controls the cultivation environment of the crop according to the set control point. For example, the environment control unit 203 may include a heater, a fan, an illumination lamp, a pump, a CO 2 generator, and the like for adjusting temperature, humidity, roughness CO 2 concentration, daylight time, and soil acidity according to a set control point.

The control unit 204 receives optimum growth information from an external server and stores it in the crop database 201 or generates optimum growth information and transmits the optimum growth information to the server. The optimal growth information of the crop database 201 and the optimum growth information of the environment monitoring unit 202 And sets the control point of the environment control unit 203. [ For example, the control unit 204 can set the control point so that the optimum growth information and the environment information coincide with each other, so that the crop can be grown under optimal environmental conditions. The control point may be an operation setting value for the environment control module of the environment control unit 203. [ For example, the control point may be a set temperature for the heater when the environment control section 203 includes a heater.

FIG. 3 shows optimal growth information according to an embodiment of the present invention.

The functions of the crop growth environment management device 200 will be described in more detail with reference to FIGS. 2 and 3. FIG.

It is assumed that the crop growth environment management apparatus 200 does not have information on the crop 'A' in the state where it is installed in the greenhouse where the crop 'A' is grown. The control unit 204 receives optimum growth information on the crop 'A' from the server and stores it in the crop database 201. On the other hand, the environmental monitoring unit 202 measures environmental information in the greenhouse. The measurement result at this time is assumed to be a temperature of 8 ° C, a humidity of 50%, and an illuminance of 100 lux. The control unit 204 compares the optimal growth information stored in the crop database 201 with the measurement result of the environmental monitoring unit 202. [ As shown, when the measurement result is compared with the optimal growth information, it can be seen that the temperature is 2 ° C higher, the humidity is 30% lower, and the illuminance is the same. The control unit 204 sets the control point of the environment control unit 203 by the difference between the measurement result and the optimum growth information so that the crop 'A' can grow in the best environmental condition. The environment control unit 203 operating according to the set control point can lower the temperature by 2 占 폚 and raise the humidity by 30%. The optimal growth information as shown in FIG. 3 is continuously generated and updated, stored in the server, and linked with the crop database 201, so that the crop growth environment management apparatus 200 can always optimally manage the environmental conditions of the greenhouse.

Meanwhile, the optimal growth information shown in FIG. 3 exemplifies a simple data model for convenience of explanation, and it is needless to say that the optimal growth information may be defined by various data models. For example, the optimal growth information can be constructed as an ontology in which all context information related to crop cultivation is considered. An example of constructing a 'plant plant ontology' according to an embodiment of the present invention is shown in FIG. 4 to FIG.

Referring to FIG. 4, the situation classification for constructing an ontology can be roughly divided into 'situations related to the growth of crops' and 'situations related to the plant factory environment'.

Conditions related to the growth of crops can be classified into 'crop information', 'growth environment', 'growth status', and 'pest information'. There Varieties classification is defined, "growth environment" is to define the growth necessary elements (temperature, humidity, illuminance, C0 2 concentration, nutrients, sunlight, sunshine time and the like), crops for all of the crops, the crop information, do. 'Growth status' is defined to be able to confirm current growth status through growth of leaf, stem and root of crop, and 'pest information' can define information on various pests related to crop cultivation.

Situations related to the plant plant environment define all the circumstances within the plant plant to grow crops. 'Facility' defines information related to the plant building and various sensors and controls installed in the plant. 'Environment' defines climatic environmental information both inside and outside the plant. The 'location' defines the location information of the plant, floor, and area separately to allocate the location information of the facilities in the plant. 'System' defines the system information, network information, and access method of the devices used inside the plant. 'User' classifies the access authority according to the distinction between the internal manager and the outsider.

Based on these classified situations, it is possible to design a class for ontology construction such as 'VericalFarm', 'VerticalFarm Environment', and 'CropGrowth Knowledge' . Each class can also have a hierarchical subclass. For example, the 'crop growth knowledge' class may have subclasses such as a crop class, a pest class, a crop growth class, and a growth environment class, and the crop class may have subclasses defined by the kind, Structure can be formed.

When a class is designed, an instance is created. In this embodiment, since it is aimed to provide an intelligent service for providing a growing environment of a crop in a plant plant, as shown in FIG. 5, it is possible to create an object based on a crop, a growth environment, and a control facility in accordance with the growth of the crop.

Next, the property is designed. For example, an object property (refer to FIG. 6) associating an object with another object and a data type property (see FIG. 7) representing a data characteristic that the objects actually have can be defined .

For reference, in FIG. 6, 'hasA' is a definition of a plant plant and a plant or a facility that basically has to have through the plant plant ontology, and 'cultivates' defines a relationship in which a plant is grown in a plant. 'isLacatedIn' is the location information of each entity, 'isManagedBy' is the relationship with the administrator managing the plant factory, 'isMadeBy' is the environment information obtained from various sensors, 'controls' is the control relationship between control nodes and control devices .

By constructing the ontology like this, it is possible to transfer meaning between all the elements in the plant, so that various intelligent services can be provided even if there is not much experience or knowledge.

FIG. 8 illustrates a method for managing a crop growth environment according to an embodiment of the present invention.

Referring to FIGS. 2 and 8, the crop growth environment management apparatus 200 receives optimum growth information on crops from an external server and stores the optimal growth information (S501). For example, the control unit 204 checks whether or not there is information corresponding to the crop currently being cultivated in the crop database 201. If there is no corresponding information, the control unit 204 requests the optimum genetic information to the server and stores it in the crop database 201 It is possible.

Subsequently, the crop growth environment management device 200 monitors environment information of the surroundings related to the crop (S502). For example, the environmental monitoring unit 202 can measure temperature, humidity, illuminance, and the like in the greenhouse using various sensors.

Then, a predetermined control point is set by comparing the optimal growth information and environmental information (S503). For example, the control unit 204 can set the control point of the environment control unit 203 so that the measurement result of the environment monitoring unit 202 and the optimum growth information of the crop database 201 coincide with each other.

When the control point is set, the cultivation environment of the crop is adjusted according to the set control point (S504). For example, it is possible to continuously provide the optimal growth environment according to the optimum growth information of the crop database 201 and the control points set by the control unit 204, by the environment control unit 203.

As described above, according to the disclosed embodiment of the present invention, since the environmental conditions in the greenhouse are coordinated with the optimum growth information, it is possible to conduct planned cultivation for the crops, and to improve the quality of the plant cultivation by controlling the production amount . In particular, since optimal growth information is provided in the form of an ontology, it is possible to construct an intelligent service based on situational awareness and an agricultural knowledge cloud. Through this, ordinary users without knowledge and experience of agriculture can easily approach agriculture. Can be presented.

101: Server
102: Client
103: Network
201: Crop database
202: Environmental Monitoring Department
203: Environmental Control Department
204:

Claims (17)

A crop database in which optimal growth information on crops is stored;
An environmental monitoring unit for monitoring surrounding environmental information related to the crop;
An environment control unit for controlling a cultivation environment of the crop according to a set control point; And
A controller receiving the optimal growth information from an external server and storing the optimum growth information in the crop database or transmitting the generated optimum growth information to the server and setting the control point by comparing the optimal growth information and the environment information; Based cropping environment management device.
The method according to claim 1, wherein the optimal growth information is
And an ontology for intelligent services based on context awareness.
The method according to claim 1, wherein the optimal growth information is
An identification information of the crop, a growth factor corresponding to the crop, and growth environment data corresponding to the growth factor.
The method of claim 3,
Wherein the growth factor comprises an environmental factor required for the crop to grow,
Wherein the growth environment data includes a specific value for the environmental element.
The apparatus of claim 1, wherein the environmental monitoring unit
Wherein at least one of temperature, humidity, illuminance, CO 2 concentration, daylight time, and soil acidity is sensed in real time on an ontology basis.
6. The apparatus of claim 5, wherein the environmental monitoring unit
Wherein the environment information is displayed to the user in real time.
2. The apparatus of claim 1, wherein the environment control unit
And an at least one of a heater, a fan, an illumination lamp, a pump, and a CO 2 generator for controlling the cultivation environment.
The apparatus of claim 1, wherein the control unit
Wherein the control point is set so that the optimal growth information and the environment information coincide with each other.
A server for storing optimal growth information on the crop; And
A client communicably connected to the server; / RTI >
The client includes:
Monitoring surrounding environmental information related to the crop,
Controlling a cultivation environment of the crop according to a set control point,
Wherein the optimum growth information is received from the server and stored or the optimal growth information is generated and transmitted to the server, and the control point is set by comparing the optimal growth information and the environment information. Environmental Management System.
10. The method according to claim 9, wherein the optimal growth information is
And an ontology for intelligent service based on context awareness.
10. The method according to claim 9, wherein the optimal growth information is
Wherein the identification information of the crop, the growth factor corresponding to the crop, and the growth environment data corresponding to the growth factor are included in the ontology-based crop growth environment management system.
12. The method of claim 11,
Wherein the growth factor comprises an environmental factor required for the crop to grow,
Wherein the growth environment data includes specific values for the environmental factors.
10. The method of claim 9, wherein the client
Wherein at least one of temperature, humidity, illuminance, CO 2 concentration, daylight time, and soil acidity is sensed in real time on an ontology-based crop growth environment management system.
14. The method of claim 13, wherein the client
Wherein the environment information is displayed to the user in real time.
10. The method of claim 9, wherein the client
Wherein the at least one of the heater, the ventilator, the illumination lamp, the pump, and the CO 2 generator for controlling the cultivation environment includes at least one of a heater, a fan, an illuminator, a pump, and a CO 2 generator.
10. The method of claim 9, wherein the client
And the control point is set so that the optimum growth information and the environment information coincide with each other.
Receiving optimal growth information on crops from an external server and storing the optimized growth information;
Monitoring surrounding environmental information related to the crop;
Comparing the optimum growth information with the environment information to set a predetermined control point; And
Adjusting a cultivation environment of the crop according to the set control point; A method for managing a crop growth environment based on an ontology.
KR1020130051921A 2013-05-08 2013-05-08 Apparatus, System and Method based on Ontology for providing growth environments to crops KR20140132873A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20180062569A (en) * 2016-11-30 2018-06-11 순천향대학교 산학협력단 Smart flowerpot management system and method
KR101874972B1 (en) * 2016-03-23 2018-07-06 이수열 System and method for managing agrigulture
US10579460B2 (en) 2016-11-28 2020-03-03 Electronics And Telecommunications Research Institute Method and apparatus for diagnosing error of operating equipment in smart farm
KR20200091248A (en) * 2019-01-22 2020-07-30 동의대학교 산학협력단 Control method of smart farm using speech recognition
KR20220020532A (en) 2020-08-12 2022-02-21 천병일 Apparatus for managing earth of smart farms in open field by analysis of earth in real time

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101874972B1 (en) * 2016-03-23 2018-07-06 이수열 System and method for managing agrigulture
US10579460B2 (en) 2016-11-28 2020-03-03 Electronics And Telecommunications Research Institute Method and apparatus for diagnosing error of operating equipment in smart farm
KR20180062569A (en) * 2016-11-30 2018-06-11 순천향대학교 산학협력단 Smart flowerpot management system and method
KR20200091248A (en) * 2019-01-22 2020-07-30 동의대학교 산학협력단 Control method of smart farm using speech recognition
KR20220020532A (en) 2020-08-12 2022-02-21 천병일 Apparatus for managing earth of smart farms in open field by analysis of earth in real time

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