KR20210007220A - Method, system and computer readable medium for livestock farm management - Google Patents

Abstract

A method, system and recording medium for managing a livestock shed are provided. The method for managing the livestock shed comprises: a step of setting one of a plurality of candidate temperature indicators for the livestock shed as a representative temperature indicator in response to a user command; a step of recording the internal environment information of the livestock shed from the sensor group installed in the livestock to a database; a step of determining a reference temperature and a target state associated with the representative temperature index based on the internal environment information of the livestock shed; and a step of controlling a ventilation fan installed in the livestock shed so that the environment inside the livestock shed changes toward the target state based on the reference temperature.

Description

[Method, system and computer readable medium for livestock farm management]

The present invention relates to a method and system for optimally managing the internal environment of a livestock for the growth of livestock, and a computer-readable recording medium having a program for executing the method.

In order to prevent the mortality of livestock such as pigs and to optimally breed livestock to meet the needs of consumers, it is very important to consistently manage the environment in the barn where livestock is accommodated for the growth of livestock (eg, pigs).

The method of managing the environment inside the house can be largely divided into manual management by the breeder and automatic management by the management system. However, since it is difficult to control the environment inside the livestock house precisely with manual management, it is a trend not only domestically but also worldwide to apply automatic management.

As the environment inside the house, various environmental factors such as humidity, gas concentration, wind speed, etc., as well as temperature, have a great influence on the growth and health of livestock. In particular, in breeding livestock, the temperature felt by livestock is important. Even if the temperature in the house measured by the temperature sensor (eg, dry bulb temperature) is the same, the perceived temperature can have a large difference, because the perceived temperature depends on the humidity, wind speed, and radiant heat in the house.

In addition, since rapid climate change due to global warming, etc., has a significant impact on the environment inside the livestock shed, it is necessary to consider not only the environmental factors inside the livestock shed but also the environmental factors outside the livestock shed when managing the environment inside the livestock shed.

The present invention, as conceived to solve the above problems, determines a reference temperature and a target state (target temperature, target ventilation amount, etc. to be described later) based on environmental factors within the livestock house that are constantly monitored, It is an object of the present invention to provide a method, a system, and a recording medium for managing the environment inside a livestock house according to a reference temperature and a target state.

In addition, the present invention records the internal environment information of the livestock house, indicating the environmental factors in the livestock house that is continuously monitored, in a database, and determines the target state based on the change history of the internal environment information recorded in the database. It aims to manage the internal environment more precisely.

In addition, an object of the present invention is to more precisely manage the environment inside the livestock house by considering the environment factor outside the livestock house (eg, weather forecast information) as well as the inside environment factor in determining the target state.

Other objects and advantages of the present invention can be understood by the following description, and will be more clearly understood by examples of the present invention. In addition, it will be easily understood that the objects and advantages of the present invention can be realized by the means shown in the claims and combinations thereof.

A method for managing a livestock house according to an aspect of the present invention includes: setting one of a plurality of candidate temperature indexes for the livestock house as a representative temperature index in response to a user command; Recording internal environment information of the livestock house from the sensor group installed in the livestock house in a database; Determining a reference temperature and a target state related to the representative temperature index based on the environment information inside the livestock house; And controlling a ventilation fan installed in the livestock house so that the environment inside the livestock house changes toward the target state based on the reference temperature.

The sensor group may include a dry bulb temperature sensor measuring a dry bulb temperature in the housing and a black bulb temperature sensor measuring a heat radiation amount in the housing. The sensor group may optionally further include at least one of a humidity sensor measuring humidity in the housing and a wind speed sensor measuring a flow rate of air flowing out from the inside of the housing.

The plurality of candidate temperature indices may include two or more of the first to eighth candidate temperature indices. The first candidate temperature index may be the dry bulb temperature. The second candidate temperature index may be a mean radiant temperature (MRT) determined using Equation 1 below. The third candidate temperature index may be a wet bulb temperature determined based on the dry bulb temperature and the humidity using a Psychrometric Chart. The fourth candidate temperature index may be a perceived temperature in consideration of humidity determined using Equation 2 below. The fifth candidate temperature index may be a humidity-corrected dry-bulb temperature indicating a dry-bulb temperature determined based on the humidity-inspected bodily temperature and a predetermined humidity using the psychrometric chart. The sixth candidate temperature index may be a sensory temperature considering wind speed determined using Equation 3 below. The seventh candidate temperature index may be a perceived temperature in consideration of wind speed-radiation heat determined using Equation 4 below. The eighth candidate temperature index may be a perceived temperature in consideration of humidity-wind speed-radiation heat determined using Equation 5 below.

[Equation 1]

[Equation 2]

T4 = (C × T1) + ((1-C) × T3)

[Equation 3]

T6 = D + (E × W2) + (F × T1) + (G × W1)

[Equation 4]

T7 = (T2 + T6)/2

[Equation 5]

T8 = (C × T7) + ((1-C) × T3)

T1 is the dry bulb temperature, T2 is the average radiant temperature, T3 is the wet bulb temperature, T4 is the perceived temperature considering the humidity, T6 is the perceived temperature considering the wind speed, T7 is the wind speed-the perceived temperature considering the radiant heat, T8 is the humidity- Wind speed-perceived temperature in consideration of radiant heat, t is the black bulb temperature corresponding to the amount of heat radiation, A is the emissivity of the black bulb thermometer, B is the diameter of the black bulb thermometer, C is the weight of 0 to 1, D is the first correction factor, E Denotes a second correction coefficient, F denotes a third correction coefficient, G denotes a fourth correction coefficient, W1 denotes the wind speed, and W2 denotes the average weight of livestock accommodated in the barn.

The livestock house management method includes: determining a maximum reference value and a minimum reference value of the reference temperature for a predetermined period based on the history of the internal environment information recorded in the database; When the maximum reference value is greater than the sum of the appropriate temperature and the threshold value, determining a target temperature using Equation 6 below; If the appropriate temperature is greater than the sum of the minimum reference value and the threshold value, determining the target temperature using Equation 7 below; And when the maximum reference value is less than or equal to the sum of the appropriate temperature and the threshold value, or when the appropriate temperature is less than or equal to the sum of the minimum reference value and the threshold value, determining the appropriate temperature as the target temperature.

[Equation 6]

T _tg = T _max -T _th -MAX((T _max -T _min )/2-T _th , 0)

[Equation 7]

T _tg = T _min + T _th + MAX((T _max -T _min )/2-T _th , 0)

T _tg represents the target temperature, T _max represents the maximum reference value, T _min represents the minimum reference value, and T _th represents the threshold value.

The livestock house management method may include determining a first temperature difference value indicating a difference between the reference temperature and the target temperature; Determining a second temperature difference value representing a difference between the reference temperature and a reference temperature of a previous period; Determining a target ventilation amount associated with the first temperature difference value and the second temperature difference value from one of at least one ventilation amount setting table in which a correspondence relationship between a first temperature difference value, a second temperature difference value, and a target ventilation amount is recorded ; And adjusting the rotation speed of the ventilation fan according to the target ventilation amount.

The livestock house management method may further include driving a warming lamp installed in the livestock house when the target ventilation amount is equal to the minimum required ventilation amount.

The livestock house management method may further include correcting the target ventilation amount based on the gas concentration when the sensor group further includes a gas sensor measuring the gas concentration in the livestock house.

The livestock house management method may include determining an upper temperature limit value equal to the sum of the minimum reference value and the threshold value; Determining a lower temperature limit value equal to the difference between the maximum reference value and the threshold value; If the difference between the upper temperature limit value and the reference temperature is less than the third temperature difference value, determining the sum of the current ventilation amount and the first unit ventilation amount as a target ventilation amount; And when the difference between the reference temperature and the temperature lower limit value is less than the fourth temperature difference value, determining a difference between the current ventilation amount and the second unit ventilation amount as the target ventilation amount.

The livestock house management method includes: collecting information about the environment outside the livestock house; And determining the first unit ventilation amount and the second unit ventilation amount based on information on the external environment of the livestock house.

A computer-readable recording medium according to another aspect of the present invention stores a program for executing the livestock house management method.

A livestock house management system according to another aspect of the present invention, as for executing the livestock house management method, the database; And a control unit configured to control the ventilation fan based on the environment information inside the livestock house recorded in the database.

According to at least one of the embodiments of the present invention, a reference temperature and a target state are determined based on an environmental factor in a livestock house that is displayed in an environment inside the livestock house that is constantly monitored, and the growth and health status of livestock in the livestock house environment are determined according to the target condition. Can be managed optimally.

In addition, by recording the internal environment information of the livestock house, indicating the environmental factors in the house that is continuously monitored, in the database, and determining the target status based on the history of changes in the internal environment information recorded in the database, the internal environment of the house can be viewed. It can be managed precisely.

In addition, by considering the environment factors outside the livestock house (eg, weather forecast information) as well as the environment factors inside the livestock house in determining the target state, the environment inside the livestock house can be more precisely managed.

The effects of the present invention are not limited to the effects mentioned above, and other effects that are not mentioned will be clearly understood by those skilled in the art from the description of the claims.

1 is a view showing an exemplary configuration of a livestock house management system according to an embodiment of the present invention.
2 is a flowchart schematically illustrating a livestock house management method by the livestock house management system of FIG. 1.
3 is a diagram showing a correlation between various types of sensors included in a sensor group and a plurality of candidate temperature indices.
4 is a diagram for explaining a criterion used to select a representative temperature index among a plurality of candidate temperature indexes.
5 is a diagram illustrating a method for determining a target temperature for management of a livestock house.
6 is a diagram showing an exemplary method for determining a target ventilation amount for livestock house management.
7 is a diagram illustrating a data table for setting a ventilation amount referred to in describing the method of FIG. 6.
8 is a diagram illustrating a modified example of a method for determining a target ventilation amount for livestock house management.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Prior to this, terms or words used in the specification and claims should not be construed as being limited to their usual or dictionary meanings, and the inventors appropriately explain the concept of terms in order to explain their own invention in the best way. Based on the principle that it can be defined, it should be interpreted as meaning and concept consistent with the technical idea of the present invention.

Accordingly, the embodiments described in the present specification and the configurations shown in the drawings are only the most preferred embodiment of the present invention, and do not represent all the technical spirit of the present invention, and thus various alternatives that can be substituted for them at the time of application It should be understood that there may be equivalents and variations.

Terms including an ordinal number, such as first and second, are used for the purpose of distinguishing one of various elements from the others, and are not used to limit the elements by such terms.

Throughout the specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components unless specifically stated to the contrary. In addition, terms such as <control unit> described in the specification mean a unit that processes at least one function or operation, and may be implemented by hardware, software, or a combination of hardware and software.

In addition, throughout the specification, when a part is said to be "connected" to another part, it is not only "directly connected", but also "indirectly connected" with another element interposed therebetween. Include.

1 is a diagram illustrating a configuration of a livestock house management system 100 according to an embodiment of the present invention.

Referring to FIG. 1, the livestock house management system 100 includes a sensor group 110 installed in the livestock house 10, a gateway 120, a database 130, a user interface unit 140, and an internal environment control unit. It includes 150 and a control unit 160.

The barn 10 is a structure in which livestock (eg, pigs, chickens) to be reared are accommodated. The interior space of the barn 10 may be divided into several zones.

The sensor group 110 is provided to generate environment information inside the barn by monitoring each of the interior environment elements representing the environment inside the barn. The sensor group 110 basically includes a dry bulb temperature sensor 111 that measures the dry bulb temperature in the housing 10 and a black bulb temperature sensor 112 that measures the amount of heat radiation (black bulb temperature) in the housing 10. The sensor group 110 includes a humidity sensor 113 that measures humidity in the livestock house 10, a wind speed sensor 114 that measures the flow rate and flow rate of air flowing out from the inside of the livestock house 10, and the livestock house 10 At least one of the gas sensors 115 for measuring the concentration of a specific type of gas (eg, carbon dioxide, methane) present therein may be further included. The wind speed sensor 114 may be installed at a predetermined position in the internal space of the confinement house 10 or may be installed in a ventilation fan 151 to be described later.

One or two or more sensors included in the sensor group 110 may be disposed in the space within the confinement house 10 for each type. For example, a specific type of sensor (e.g., dry bulb temperature sensor 111) may be installed at least two per zone divided within the barn 10, and only one per two zones of other types of sensors can be installed. have. Of course, the type and number of sensors installed inside the barn 10 may be appropriately changed by reflecting the size or regional characteristics of the barn 10, and the growth characteristics of livestock.

The gateway 120 is provided to relay signal transmission and reception between the sensor group 110, the database 130, the control unit 160, and the internal environment control unit 150. The gateway 120 converts the environment information inside the livestock house from the sensor group 110 into a form that can be recognized by the database 130 and the control unit 160. The gate way 120 converts the control signal from the control unit 160 into a form that can be recognized by the internal environment control unit 150. The gateway 120 may detect and recover an error occurring in the internal environment information of the livestock house from the sensing group 110 through a predetermined filter logic (eg, cyclic redundancy check, etc.). The gateway 120 is configured to time-synchronize the sensing signals from the sensors 111, 112, 113, 114, 115 included in the environment information inside the house, and then transmit them to the database 130 or the like. The gate way 120 may convert sensing values from different sensors of the same type into a common reference unit. The gateway 120 is connected to an external communication network and may collect external information related to reduction management (eg, daily forecast information as information on external environment of the surveyor). Various communication methods may be used to collect information about the environment inside the livestock house and/or information about the environment outside the livestock house by the gateway 120, and representatively, Internet of Things (IoT)-based communication may be applied.

The database 130 is provided so that information about the environment inside the livestock house from the sensing group 110 is accumulated and recorded over time. That is, in the database 130, a history of changes in environmental information inside the livestock house, which is constantly monitored over time, is recorded for each type of sensing value.

The user interface unit 140 provides input devices 141 such as buttons, keyboards, touch pads, and microphones for receiving various commands from the livestock house manager (user), and informs the livestock house manager of information related to the inside environment of the livestock house. It may include an output device 142 such as a speaker and a display for.

The internal environment control unit 150 is provided to adjust at least one of the amount of ventilation and the amount of heat radiation of the house 10 in order to change the temperature and/or the gas concentration inside the house 10. The internal environment control unit 150 may include a ventilation fan 151 and optionally further include a warming lamp 152.

The ventilation fan 151 is for reducing the temperature or gas concentration in the housing 10 by discharging the air inside the housing 10 to the outside, and in response to a control signal from the control unit 160, the fan 151 Maintains the current level of rotation or increases or decreases from the current level. The location where the ventilation fan 151 is installed and the number of the ventilation fans 151 may be appropriately determined by reflecting the size of the house 10, regional characteristics, and growing characteristics of livestock.

The warming lamp 152 is provided to supply radiant heat into the housing 10. Radiant heat is for increasing the sensible temperature of livestock, and may be driven in response to a control signal output from the control unit 160 when it is difficult to change the environment inside the livestock house to a target state with only the ventilation fan 151. Whether or not, the location and number of the insulation lamp 152 may be appropriately determined by reflecting the size, regional characteristics, and growth characteristics of livestock of the barn 10.

The control unit 160 is operatively coupled to the database 130, the user interface unit 140, and the internal environment control unit 150.

The controller 160 determines a reference temperature and a target state on the basis of the change history of the internal environment information provided from the database 130 periodically or according to a user command. The target state may include at least one of a target temperature and a target ventilation amount. When the inside of the barn (10) is divided into several zones (e.g., a pig house), one for a specific zone among the reference temperatures for each zone (e.g., the zone with the highest reference temperature in summer and the zone with the lowest reference temperature in winter) ) Or the average of the reference temperatures of all zones may be treated as the reference temperature inside the house 10. Then, the control unit 160 transmits a control signal to the internal environment control unit 150 for controlling the internal environment control unit 150 to reach the target state based on the reference temperature.

In hardware, the control unit 160 includes application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), and microprocessors. It may be implemented using at least one of (microprocessors) and electrical units for performing other functions. The control unit 160 may include a memory therein. The memory stores data, commands, and software required for the overall operation of the controller 160, and includes a flash memory type, a hard disk type, and a solid state disk type. , SDD type (Silicon Disk Drive type), multimedia card micro type, random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), EEPROM ( It may include at least one type of storage medium among electrically erasable programmable read-only memory) and programmable read-only memory (PROM). The memory may store data representing a result of an operation performed by the controller 160. Details of various operations performed by the controller 160 will be described later in more detail with reference to FIGS. 2 to 8.

In response to a user command input through the user interface unit 140, the control unit 160 sets one of a plurality of predetermined candidate temperature indices as a representative temperature index, and is currently set until the next user command is input. Representative temperature indicators can be maintained.

2 is a flowchart schematically illustrating a livestock house management method by the livestock house management system 100 of FIG. 1.

Referring to FIG. 2, in step S210, the control unit 160 records internal environment information of the livestock house from the sensor group 110 installed in the livestock house 10 in the database 130.

In step S220, the controller 160 sets a representative temperature index, which is one of a plurality of candidate temperature indexes, in response to a user command. Each candidate temperature index will be separately described later.

In step S230, the control unit 160 determines a reference temperature and a target state related to the representative temperature index based on the internal environment information recorded in the database 130.

In step S240, the control unit 160 controls the internal environment control unit 150 installed in the house 10 so that the inside environment of the house changes toward the target state based on the reference temperature.

Hereinafter, a plurality of candidate temperature indices that can be set as representative temperature indices will be described with reference to FIGS. 3 and 4.

FIG. 3 is a diagram showing a correlation between various types of sensors included in the sensor group 110 and a plurality of candidate temperature indices, and FIG. 4 is a reference used to select a representative temperature index among a plurality of candidate temperature indices. It is a drawing for explanation.

First, FIG. 3 illustrates a case in which there are eight candidate temperature indices, and symbols #1 to #8 are sequentially assigned to the first to eighth candidate temperature indices, which are eight candidate temperature indices.

The first candidate temperature index #1 is a dry bulb temperature measured by the dry bulb temperature sensor 111.

The second candidate temperature index #2 is a mean radiant temperature (MRT), and can be determined by the controller 160 using Equation 1 below.

[Equation 1]

The third candidate temperature index #3 is a wet bulb temperature, and may be determined by the control unit 160 using a data table representing a predetermined wet bulb diagram based on the dry bulb temperature and humidity. The wet-air diagram represents a correspondence relationship between three factors: dry bulb temperature, humidity, and wet bulb temperature, and values of the remaining elements may be determined from two values of the three factors.

The fourth candidate temperature index #4 is a perceived temperature in consideration of humidity, and may be determined by the control unit 160 using Equation 2 below.

[Equation 2]

T4 = (C × T1) + ((1-C) × T3)

The fifth candidate temperature index (#5) is a humidity-corrected dry bulb temperature, and the control unit 160 determines a humidity-adjusted bodily temperature (ie, a fourth candidate temperature index (#4)) and a predetermined humidity (eg, 65%). As a basis, it shows the dry bulb temperature determined using the psychrometric chart.

The sixth candidate temperature index #6 is a perceived temperature in consideration of wind speed and can be determined by the control unit 160 using Equation 3 below.

[Equation 3]

T6 = D + (E × W2) + (F × T1) + (G × W1)

The seventh candidate temperature index #7 is a perceived temperature considering wind speed and radiant heat, and may be determined by the controller 160 using Equation 4 below.

[Equation 4]

T7 = (T2 + T6)/2

The eighth candidate temperature index #8 is a sensory temperature considering humidity-wind speed-radiation heat, and may be determined by the control unit 160 using Equation 5 below.

[Equation 5]

T8 = (C × T7) + ((1-C) × T3)

The unit of each candidate temperature index may be degrees Celsius. In Equations 1 to 5, T1 is the dry bulb temperature (i.e., the first candidate temperature index (#1)), T2 is the average radiation temperature (i.e., the second candidate temperature index (#2)), and T3 is the wet bulb temperature (i.e. 3rd candidate temperature index (#3)), T4 is the perceived temperature considering humidity (i.e., the fourth candidate temperature index (#4)), and T6 is the perceived temperature considering wind speed (i.e., the sixth candidate temperature index (#6)) , T7 is the perceived temperature considering wind speed-radiation heat (i.e., the 7th candidate temperature index (#7)), T8 is the perceived temperature considering humidity-wind speed-radiation heat (i.e., the eighth candidate temperature index (#8)), and t is the black sphere. Temperature (unit is absolute temperature K), A is the emissivity of black-ball thermometer, B is the diameter of black-ball thermometer, C is the weight of 0~1, D is the first correction factor, E is the second correction factor, F is the third correction The coefficient, G may be a fourth correction factor, W1 may represent the wind speed (unit is m/s), and W2 may represent the average weight (unit is kg) of livestock accommodated in the barn 10. Each of A, B, C, D, E, F, and G may have a predetermined value, and may be changed and set according to a user input. For example, C = 0.75, D = -8.56944323833363, E = 0.034830101458312, F = 1.2314507496751, G = -2.86931944512809. W2 may be directly input by the user, or may be automatically increased by the controller 160 every unit period (eg, 1 day) based on a growth rate data table predetermined in consideration of growth characteristics of livestock.

3 and Equations 1 to 5, the first candidate temperature index #1 is related to the dry bulb temperature. The second candidate temperature index #2 is related to the dry bulb temperature, the black bulb temperature and the wind speed. Each of the third to fifth candidate temperature indexes #5 is related to the dry bulb temperature and the wet bulb temperature. The sixth candidate temperature index (#6) is related to the dry bulb temperature and wind speed. The seventh candidate temperature index #7 is related to the dry bulb temperature, the black bulb temperature, and the wind speed. The eighth candidate temperature index (#8) is related to dry bulb temperature, black bulb temperature, wind speed and humidity. Of course, the type of the candidate temperature index can be changed according to the type of sensor installed in the barn 10.

One of the plurality of candidate temperature indices selected by the user is selected as the representative temperature index, and the controller 160 is a temperature corresponding to the selected representative temperature index until the user changes the other candidate temperature index to the representative temperature index. A reference temperature and a target state related to the reference temperature may be periodically determined. Meanwhile, while determining the reference temperature, the controller 160 may periodically determine a temperature corresponding to at least one of the remaining candidate temperature indices.

Referring to FIG. 4, which one of the plurality of candidate temperature indicators is set as the current representative temperature indicator is the size of the humidity deviation, whether the warming lamp 152 is installed, the size of the wind speed, whether the wind speed sensor 114 is installed, and humidity. It may depend on whether the sensor 113 is installed or not.

For example, when the humidity deviation is small (the humidity deviation in the house 10 per unit period is less than a predetermined value) or when the humidity sensor 113 and the wind speed sensor 114 are not installed in the house 10, the first candidate The temperature index #1 may be selected as the representative temperature index. As another example, when the wind speed is large (the average wind speed per unit period is equal to or greater than a predetermined value), one of the sixth to eighth candidate temperature indexes #8 may be selected as the representative temperature index. As another example, when the warming lamp 152 is installed in the livestock house 10, one of the second, seventh, and eighth candidate temperature indexes #8 may be selected as the representative temperature index. The control unit 160 is a representative temperature index among a plurality of candidate temperature indexes based on the type of sensor installed in the livestock house 10, the weather in the area where the livestock house 10 is located, a history of changes in wind speed, and whether the warming lamp 152 is installed. Information indicating what can be set to can be output in a form that can be recognized by the user.

5 is a diagram illustrating a method for determining a target temperature for management of a livestock house.

5, in step S510, the control unit 160, based on the history of the internal environment information recorded in the database 130, the maximum value of the reference temperature for a recent predetermined period (eg, 1 day) A maximum reference value of phosphorus and a minimum reference value which is the minimum value of the reference temperature for a predetermined period are determined. The predetermined period may be predetermined to be the same as or different from the unit period.

In step S520, the control unit 160 determines whether the maximum reference value is greater than the sum of the appropriate temperature and the threshold value. The appropriate temperature is the temperature at which livestock can be kept optimally. The threshold value is a value representing the maximum amount of change in the reference temperature in the house allowed per unit period, and may be referred to as a'day crossing limit'. The memory may store a data table in which a correspondence relationship between livestock growth status (e.g., average weight, number of heads, growth days), appropriate temperature, and threshold is recorded, and the controller 160 may store a unit period (e.g., 1 day). ) From the corresponding data table, the appropriate temperature and threshold values related to the current growing situation of livestock may be utilized in step S520. For example, when the unit period is one day, a predetermined daily temperature difference may be used as a threshold value. If the value of step S520 is "Yes", step S530 may be performed. If the value of step S520 is "no", step S540 may be performed.

In step S530, the controller 160 determines a target temperature using Equation 6 below.

[Equation 6]

T _tg = T _max -T _th -MAX((T _max -T _min )/2-T _th , 0)

T _tg represents the target temperature, T _max represents the maximum reference value, T _min represents the minimum reference value, and T _th represents the threshold value. MAX(a, b) is a function that outputs the larger of a and b. For example, when the appropriate temperature = 25℃, T _max = 33℃, T _min = 27℃, T _th = 7℃, T _tg = _33-7 -MAX(( _33-27 )/2, 0) = 26 -MAX(3, 0) = 23 ℃.

In step S540, the controller 160 determines whether the appropriate temperature is greater than the sum of the minimum reference value and the threshold value. If the value of step S540 is "Yes", step S550 may be performed. If the value of step S540 is "no", step S560 may be performed.

In step S550, the controller 160 determines a target temperature using Equation 7 below.

[Equation 7]

T _tg = T _min + T _th + MAX((T _max -T _min )/2-T _th , 0)

The symbol of Equation 7 is the same as the symbol of Equation 6. For example, when the appropriate temperature = 20℃, T _max = 18℃, T _min = 14℃, T _th = 5℃, T _tg = 14 + 5 + MAX(( _18-14 )/2, 0) = 19 + MAX(2, 0) = 21 ℃.

In step S560, the control unit 160 determines the target temperature equal to the appropriate temperature.

6 is a diagram illustrating a method for determining a target ventilation amount for livestock house management by way of example, and FIG. 7 is a diagram illustrating a data table for setting a ventilation amount referred to in describing the method of FIG. 6. The method of FIG. 6 may be performed when the target temperature is determined through the method of FIG. 5.

Referring to FIG. 6, in step S610, the controller 160 determines a first temperature difference value indicating a difference between the reference temperature and the target temperature. For example, when the reference temperature = 25°C and the target temperature = 23°C, the first temperature difference value = (25-23) = 2°C.

In step S620, the controller 160 determines a second temperature difference value indicating a difference between the reference temperature and the reference temperature of the previous period. The previous period may be a period before a certain time (eg, 3 minutes) from the current period. For example, when the reference temperature = 25°C and the reference temperature of the previous cycle = 24°C, the second temperature difference value = (25-24) = 1°C.

In step S630, the controller 160 determines a target ventilation amount based on the first temperature difference value and the second temperature difference value. That is, the control unit 160 determines whether the ventilation amount by the ventilation fan 151 is maintained at the current level, to what extent, or to what extent to increase. The ventilation amount represents the amount of air discharged from the inside of the house per unit time to the outside, and can be measured through the wind speed sensor 114 installed in the ventilation fan 151.

Referring to FIG. 7, the ventilation amount setting data table defines a correspondence relationship between a first temperature difference value ΔT ₁ , a second temperature difference value ΔT ₂ , and a target ventilation amount. In Fig. 7, C _V = current ventilation amount, U = unit ventilation amount, L = C _V -indicates the minimum required ventilation amount. MIN(c, d) is a function that outputs the smaller of c and d. In particular, L is set to prevent the target ventilation amount from being less than the current ventilation amount.

The unit ventilation amount U may be adjusted for each unit period (eg, 1 day) based on information about the external environment of the livestock house to be described later. In detail, the control unit 160 may determine the unit ventilation amount U of the current date based on a difference between the expected daily crossing of the current date included in the environmental information outside the livestock house and a predetermined reference daily crossing (eg, a threshold value). For example, when the expected daily crossing is larger than the reference daily crossing, the unit ventilation amount U may be increased in proportion to the difference between the estimated daily crossing and the reference daily crossing. As another example, when the expected daily crossing is smaller than the reference daily crossing, the unit ventilation amount U may be reduced in proportion to the difference between the estimated daily crossing and the reference daily crossing. Accordingly, it is possible to quickly and efficiently manage the internal environment in response to the daily change in the area where the livestock house is installed.

The maximum number of target ventilation amounts that can be determined for each period through the ventilation amount setting data table may be equal to a product of the number of ranges related to the first temperature difference value and the number of ranges related to the second temperature difference value. For example, if the first temperature difference value (ΔT ₁ ) falls within the range of'less than M1 & more than M2' and the second temperature difference value (ΔT ₂ ) falls within the range of'less than N2 & more than N3' The ventilation amount can be determined as the target ventilation amount (ie, the current ventilation amount is maintained). As another example, if the first temperature difference value (ΔT ₁ ) belongs to'M1 or more' and the second temperature difference value (ΔT ₁ ) is'less than N1 & N2 or more', the target ventilation amount is the current ventilation amount. It can be determined as high as the unit ventilation volume U (eg, 3 m ³ /s).

Additionally, the controller 160 may correct the target ventilation amount determined in step S630 based on the gas concentration measured by the gas sensor 115. A data table in which a correspondence relationship between the gas concentration and the ventilation amount increase factor is recorded may be stored in the memory, and the controller 160 may determine a ventilation amount increase factor related to the current gas concentration from the data table. The gas concentration and the ventilation rate increase factor may have a linear or nonlinear proportional relationship. The controller 160 may obtain the corrected target ventilation amount by applying (eg, summing, multiplying) the ventilation amount increase factor determined from the current gas concentration to the target ventilation amount determined in step S630.

The controller 160 may determine whether the corrected target ventilation amount based on the target ventilation amount or gas concentration determined in step S630 is equal to the minimum required ventilation amount. The minimum required ventilation amount is a minimum amount of ventilation required for normal breathing of livestock and may be directly input by the user. Alternatively, the memory may store a data table in which a correspondence relationship between the growth situation of livestock (eg, average weight, number of heads, growth days) and the minimum required ventilation amount is recorded, and the controller 160 may store a unit period (eg, 1 day). ), from the corresponding data table, the minimum required ventilation volume related to the current livestock growth situation can be determined.

When the target ventilation amount is greater than the minimum required ventilation amount, the control unit 160 outputs a control signal for inducing the driving of the ventilation fan 151 according to the target ventilation amount, and the warming lamp 152 may not be driven. have. When the target ventilation amount is the same as the minimum required ventilation amount, the controller 160 controls the driving of the warming lamp 152 together with a control signal for inducing the driving of the ventilation fan 151 according to the target ventilation amount. You can output a signal.

8 is a diagram illustrating a modified example of a method for determining a target ventilation amount for livestock house management.

Referring to FIG. 8, in step S800, the controller 160 collects information about the environment outside the livestock house. The information on the external environment of the livestock house is information indicating an external environment that affects the internal environment of the livestock house, and may be, for example, weather forecast information. The environment information outside the livestock house may be collected through the gateway 120, and may include predicted values for each time period such as temperature and humidity outside the livestock house 10 for a future unit period. Internet of Things (IoT)-based communication can be applied to collect information about the environment outside the confinement house.

In step S802, the control unit 160 determines a first unit ventilation amount and a second unit ventilation amount based on information on the external environment of the livestock house. In the memory, a data table in which a correspondence relationship between information about the external environment of the house and the amount of ventilation of the first and second units is recorded may be stored, and the control unit 160 may be It is possible to determine the first and second unit ventilation amounts associated with one. The first unit ventilation amount and the second unit ventilation amount may have a linear or nonlinear proportional relationship with at least one of a current external temperature and an increase slope of the external temperature. Alternatively, the first unit ventilation amount and the second unit ventilation amount may be the same as the unit ventilation amount U used in the ventilation amount setting data table of FIG. 7 described above.

Steps S800 and S802 may be selectively omitted from the method of FIG. 8, and in this case, each of the first and second unit ventilation amounts may be predetermined.

In step S810, the controller 160 determines an upper temperature limit value and a lower temperature limit value. The upper temperature limit may be equal to the sum of the minimum reference value and the threshold value. The lower temperature limit may be equal to the difference between the maximum reference value and the threshold value.

In step S820, the control unit 160 determines whether the difference between the upper temperature limit value and the reference temperature is less than the third temperature difference value. The third temperature difference value may be predetermined. If the value of step S820 is "Yes", step S830 may be performed. If the value of step S820 is "no", step S840 may be performed.

In step S830, the controller 160 determines the target ventilation amount equal to the sum of the current ventilation amount and the first unit ventilation amount.

In step S840, the control unit 160 determines whether the difference between the reference temperature and the lower temperature limit is less than the fourth temperature difference value. The fourth temperature difference value may be predetermined. If the value of step S840 is "Yes", step S850 may be performed. If the value of step S840 is "No", step S860 may be performed.

In step S850, the controller 160 determines the target ventilation amount equal to the difference between the current ventilation amount and the second unit ventilation amount.

In step S860, the control unit 160 determines the target ventilation amount equal to the current ventilation amount.

The controller 160 may output a control signal for inducing driving of the ventilation fan 151 according to the target ventilation amount determined through one of steps S830, S850, and S860 of the method of FIG. 8.

The embodiments of the present invention described above are not implemented only through an apparatus and a method, but may be implemented through a program that realizes a function corresponding to the configuration of the embodiment of the present invention or a recording medium in which the program is recorded. Implementation can be easily implemented by an expert in the technical field to which the present invention belongs from the description of the above-described embodiment.

In the above, although the present invention has been described by a limited embodiment and drawings, the present invention is not limited thereto, and the technical idea of the present invention and the following will be described by those of ordinary skill in the art to which the present invention pertains. It goes without saying that various modifications and variations are possible within the equal scope of the claims.

In addition, the present invention described above is capable of various substitutions, modifications, and changes without departing from the technical spirit of the present invention to those of ordinary skill in the technical field to which the present invention belongs. It is not limited by the drawings, but may be configured by selectively combining all or part of each embodiment so that various modifications may be made.

10: Congratulations
100: barn management system
110: sensor group
111: dry bulb temperature sensor 112: black bulb temperature sensor
113: humidity sensor 114: wind speed sensor
115: gas sensor
120: gateway
130: database
140: user interface unit
141: input device 142: output device
150: internal environment control unit
151: ventilation fan 152: warming lamp
160: control unit

Claims (11)

In the method of management of the livestock house,
In response to a user command, setting one of a plurality of candidate temperature indicators for the livestock house as a representative temperature indicator;
Recording internal environment information of the livestock house from the sensor group installed in the livestock house in a database;
Determining a reference temperature and a target state related to the representative temperature index based on the environment information inside the livestock house; And
And controlling a ventilation fan installed in the livestock house so that the environment inside the livestock house changes toward the target state based on the reference temperature.
The method of claim 1,
The sensor group,
A dry bulb temperature sensor measuring a dry bulb temperature in the housing and a black bulb temperature sensor measuring a heat radiation amount in the housing,
The livestock house management method, characterized in that it further comprises at least one of a humidity sensor for measuring the humidity in the house and a wind speed sensor for measuring the flow rate of the air flowing out from the inside of the house.
The method of claim 2,
The plurality of candidate temperature indices include two or more of the first to eighth candidate temperature indices,
The first candidate temperature index is the dry bulb temperature,
The second candidate temperature index is an average radiant temperature (MRT) determined using Equation 1 below,
The third candidate temperature index is a wet bulb temperature determined based on the dry bulb temperature and the humidity using a Psychrometric Chart,
The fourth candidate temperature index is a sensory temperature in consideration of humidity determined using Equation 2 below,
The fifth candidate temperature index is a humidity-corrected dry-bulb temperature indicating a dry-bulb temperature determined based on the humidity-applied bodily temperature and a predetermined humidity using the psychrometric chart,
The sixth candidate temperature index is a sensory temperature in consideration of wind speed determined using Equation 3 below,
The seventh candidate temperature index is a sensory temperature in consideration of wind speed-radiation heat determined using Equation 4 below,
The eighth candidate temperature index is a sensory temperature in consideration of humidity-wind speed-radiation heat determined using Equation 5 below,
[Equation 1]

[Equation 2]
T4 = (C × T1) + ((1-C) × T3)
[Equation 3]
T6 = D + (E × W2) + (F × T1) + (G × W1)
[Equation 4]
T7 = (T2 + T6)/2
[Equation 5]
T8 = (C × T7) + ((1-C) × T3)
T1 is the dry bulb temperature, T2 is the average radiant temperature, T3 is the wet bulb temperature, T4 is the perceived temperature considering the humidity, T6 is the perceived temperature considering the wind speed, T7 is the wind speed-the perceived temperature considering the radiant heat, T8 is the humidity- Wind speed-perceived temperature in consideration of radiant heat, t is the black bulb temperature corresponding to the amount of heat radiation, A is the emissivity of the black bulb thermometer, B is the diameter of the black bulb thermometer, C is the weight of 0 to 1, D is the first correction factor, E Is a second correction factor, F is a third correction factor, G is a fourth correction factor, W1 is the wind speed, and W2 is the average weight of livestock accommodated in the livestock house.
The method of claim 1,
Determining a maximum reference value and a minimum reference value of the reference temperature for a predetermined period based on the history of the internal environment information recorded in the database;
When the maximum reference value is greater than the sum of the appropriate temperature and the threshold value, determining a target temperature using Equation 6 below;
If the appropriate temperature is greater than the sum of the minimum reference value and the threshold value, determining the target temperature using Equation 7 below; And
When the maximum reference value is less than or equal to the sum of the appropriate temperature and the threshold value or the appropriate temperature is less than or equal to the sum of the minimum reference value and the threshold value, determining the appropriate temperature as the target temperature,
[Equation 6]
T _tg = T _max -T _th -MAX((T _max -T _min )/2-T _th , 0)
[Equation 7]
T _tg = T _min + T _th + MAX((T _max -T _min )/2-T _th , 0)
T _tg denotes the target temperature, T _max denotes the maximum reference value, T _min denotes the minimum reference value, and T _th denotes the threshold value.
The method of claim 4,
Determining a first temperature difference value representing a difference between the reference temperature and the target temperature;
Determining a second temperature difference value representing a difference between the reference temperature and a reference temperature of a previous period;
Determining a target ventilation amount associated with the first temperature difference value and the second temperature difference value from one of at least one ventilation amount setting table in which a correspondence relationship between a first temperature difference value, a second temperature difference value, and a target ventilation amount is recorded ; And
And adjusting the rotational speed of the ventilation fan according to the target ventilation amount.
The method of claim 5,
When the target ventilation amount is the same as the minimum required ventilation amount, the livestock house management method further comprising the step of driving the warming lamp installed in the livestock house.
The method of claim 2,
When the sensor group further includes a gas sensor for measuring the gas concentration in the livestock house, the method further comprising correcting the target ventilation amount based on the gas concentration.
The method of claim 4,
Determining an upper temperature limit value equal to the sum of the minimum reference value and the threshold value;
Determining a lower temperature limit value equal to the difference between the maximum reference value and the threshold value;
If the difference between the upper temperature limit value and the reference temperature is less than the third temperature difference value, determining the sum of the current ventilation amount and the first unit ventilation amount as a target ventilation amount; And
When the difference between the reference temperature and the lower temperature limit value is less than the fourth temperature difference value, determining a difference between the current ventilation amount and the second unit ventilation amount as the target ventilation amount.
The method of claim 8,
Collecting external environment information of the livestock house; And
And determining the first unit ventilation amount and the second unit ventilation amount based on information on the external environment of the livestock house.
A computer-readable recording medium storing a program for executing the livestock house management method according to any one of claims 1 to 9.
In the livestock house management system for executing the livestock house management method according to any one of claims 1 to 9,
The database; And
And a control unit configured to control the ventilation fan based on the environment information inside the livestock house recorded in the database.

Images