KR102129816B1 - System and method of controling smart facility - Google Patents

Abstract

Disclosed are a smart facility control system and a method thereof. The smart facility control method includes the following steps of: receiving a control condition by management target from a user terminal; receiving a control command by time from the user terminal; transmitting a control command corresponding to each time to a communication means in accordance with each time of the control command by time; receiving measurement values measured by sensor groups from the communication means; analyzing the status of management targets based on the measurement values; transmitting a control command by management target to the communication means based on the analyzed status of management targets and the control condition by management target; transmitting the analyzed status of management targets to the user terminal; receiving a forced control command from the user terminal; and transmitting the forced control command to the communication means. Therefore, the present invention is capable of controlling smart facilities such as a smart farm, a smart factory, a smart building, a smart lab and the like in accordance with a control command by time.

Description

Smart facility control system and method{SYSTEM AND METHOD OF CONTROLING SMART FACILITY}

The embodiments below relate to technologies for controlling smart facilities such as a smart farm, a smart factory, a smart building, and a smart lab.

As a prior art related to the embodiments, Republic of Korea Patent Publication KR 10-2019-0099810 A discloses a control method and apparatus for optimal management of smart farm energy. The device of the prior literature calculates the optimum heating load for heating the boiler-calculating the degree of heating required in the interior of the current greenhouse; Boiler heating temperature calculation means-heating the boiler based on the calculated heating need; Optimal irrigation temperature calculation means-Calculate target irrigation temperature to control valve opening degree according to the relationship between supply temperature and return temperature when valve opening control; Valve optimal opening control means-calculating the actual valve opening degree within 0 to 100% according to the relationship between the target water temperature calculated through the heating load and the current supply and return temperature.

The prior literature prematurely blocks energy loss due to indiscriminate boiler heating; Calculate the required amount of greenhouse heating, and perform heating control considering various complex environments; Disclosed is a control method and apparatus capable of controlling valve opening in consideration of various complex environments by calculating a target irrigation temperature in valve control.

However, the prior literature does not disclose a system or method for controlling a smart facility such as a smart farm according to an hourly control command. For example, the prior document does not disclose a control method and apparatus for transmitting a different control command to a smart facility at a predetermined time, so that the state of management objects in the smart facility gradually changes as time changes.

Accordingly, a system or method for controlling a smart facility according to an hourly control command has been requested. For example, in order to gradually change the management status of management objects in a smart facility over time even after work, the target value (target, hourly) of the management objects in the smart facility (temperature, humidity, illuminance, etc.) at a given time interval There is a need for a control system or method that can vary according to temperature, target humidity, target illuminance, etc.).

Republic of Korea Patent Publication KR 10-2019-0099810 A

The embodiments are intended to provide a method for controlling smart facilities such as a smart farm, a smart factory, a smart building, and a smart lab according to an hourly control command.

The embodiments are intended to provide a method for changing the state of management objects in a smart facility according to a time target value even after work.

The embodiments are intended to provide a method of controlling a smart facility to appropriately supply heat per hour required by management targets in the smart facility in response to internal and external environments and conditions of the smart facility.

The embodiments are intended to provide a method for forcibly controlling a smart facility according to user input.

Furthermore, the embodiments are intended to provide a smart facility control system and method for solving the problems mentioned in the background art and the problems in the technical field revealed in this specification.

According to one embodiment, at least one or more management objects; A respective sensor group having a first correspondence relationship with each management object and measuring a state of a management object having the first correspondence relationship; A group of each state change means having a second correspondence with each management object, and applying a change to the state of the management object having the second correspondence, based on a control command; And a communication means capable of communicating with sensor groups and state change means groups; A server capable of communicating with the communication means; And a smart facility control system including a user terminal capable of communicating with the server, the smart facility control method comprising the server comprising: receiving control conditions for each management object from the user terminal; Receiving an hourly control command from the user terminal; Transmitting a control command corresponding to each time to the communication means according to each time of the time-dependent control command; Receiving measurement values measured by the sensor groups from the communication means; Analyzing the state of the management objects based on the measured values; Transmitting a control command for each management object to the communication means based on the analyzed state of the management objects and the control conditions for each management object; Transmitting the status of the analyzed management objects to the user terminal; Receiving a forced control command from the user terminal; And transmitting the forced control command to the communication means.

According to an embodiment, the control conditions for each management object include a target temperature for each management object, and the smart facility control method comprises: obtaining a ceiling height of the smart facility; Adjusting a target temperature for each management object based on the ceiling height of the smart facility; Obtaining a temperature for each management object; And adjusting the target temperature for each management object based on the temperature for each management object.

According to one embodiment, at least one of the state change means group of the state change means group includes a water flowing water (水道) as a state change means, the smart facility control method, specific heat capacity of the distilled water (specific heat defining a distilled water-seawater index based on capacity and average specific heat capacity of seawater; Obtaining water source information of water supplied to the water supply; Calculating a distilled water-seawater index of water supplied to the water supply based on the water source information; And adjusting a target temperature of the management targets having the second correspondence with groups of state change means including the water as a state change means, based on a distilled water-sea water index of water supplied to the water. have.

A smart facility control system according to an embodiment includes at least one management object; A respective sensor group having a first correspondence relationship with each management object and measuring a state of a management object having the first correspondence relationship; A group of each state change means having a second correspondence with each management object, and applying a change to the state of the management object having the second correspondence, based on a control command; And a communication means capable of communicating with sensor groups and state change means groups; A server capable of communicating with the communication means; And a user terminal capable of communicating with the server, wherein the user terminal transmits a control condition for each management object to the server, transmits an hourly control command to the server, and the server receives each of the received hourly control commands. The control means corresponding to each time are transmitted to the communication means in time, and the communication means transmits the control commands corresponding to each time to the state change means groups, and each state change means group Based on the control command corresponding to each time, a change is made to the state of the management object having the second correspondence, and each sensor group is configured to determine the state of the management object having the first correspondence with the communication means. Transmitting the measured measurement value, the communication means transmits the measurement values measured by the sensor groups to the server, and the server analyzes the state of the management objects based on the received measurement values, and analyzes the management Based on the status of the targets and the control conditions for each management target received, a control command for each management target is transmitted to the communication means, the status of the analyzed management targets is transmitted to the user terminal, and the user terminal is a graphical user interface (GUI) ) Receives a user's forced control command, transmits the user's forced control command to the server, the server transmits the forced control command to the communication means, and the communication means is subject to forced control. The forced control command is transmitted to the group of the state change means, and the group of the state change means that is the object of the forced control can change the state of the management object having the second correspondence based on the forced control command. have.

According to one embodiment, for each management target, the sensor group having the first correspondence relationship and the group of state change means having the second correspondence relationship have a third correspondence, and each sensor group has one or more sensors Each of the state change means group includes one or more state change means, the sensors of the n-th sensor group having the third correspondence relationship and the state change means of the n-th state change means group are 3-n A corresponding relationship, and the GUI of the user terminal includes: a first element group receiving a user input for selecting sensors to measure a state of a management object from a sensor group having a first corresponding relationship with each management object; A second element group that displays values generated based on the measured values measured by the sensors selected by the user; And a third element group receiving a user input for transmitting a forced control command to management target state changing means having a third-n correspondence with the sensors selected by the user.

Embodiments may provide a method for controlling smart facilities such as a smart farm, a smart factory, a smart building, and a smart lab according to an hourly control command.

Embodiments may provide a method for changing the state of management objects in a smart facility according to a time target value after time even after work. Through this, even after work, the management status of management objects in the smart facility may be gradually changed over time.

The embodiments may provide a method of controlling a smart facility to appropriately supply heat per hour required by management targets in the smart facility in response to internal and external environments and conditions of the smart facility.

Embodiments may provide a method for forcibly controlling a smart facility according to user input.

Meanwhile, the effects according to the embodiments are not limited to those mentioned above, and other effects not mentioned may be clearly understood by those having ordinary knowledge in the relevant technical field from the following description.

1 is an exemplary view of a configuration of a system according to an embodiment.
2 is a view for explaining the operation of the system according to an embodiment.
3 and 4 are flowcharts for explaining target temperature adjustment for each management object according to an embodiment.
5 is a view for explaining a GUI configuration according to an embodiment.
6 is a diagram for explaining learning of an artificial neural network according to an embodiment.
7 is an exemplary view of a configuration of an apparatus according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, various changes may be made to the embodiments, and the scope of the patent application right is not limited or limited by these embodiments. It should be understood that all modifications, equivalents, or substitutes for the embodiments are included in the scope of rights.

Specific structural or functional descriptions of the embodiments are disclosed for illustrative purposes only, and may be implemented in various forms. Accordingly, the embodiments are not limited to a specific disclosure form, and the scope of the present specification includes modifications, equivalents, or substitutes included in the technical spirit.

The terms first or second may be used to describe various components, but these terms should be interpreted only for the purpose of distinguishing one component from other components. For example, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component.

When a component is said to be "connected" to another component, it should be understood that other components may be present, either directly connected to or connected to the other component.

The terms used in the examples are for illustrative purposes only and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, the terms "include" or "have" are intended to indicate the presence of features, numbers, steps, actions, components, parts or combinations thereof described in the specification, one or more other features. It should be understood that the existence or addition possibilities of fields or numbers, steps, operations, components, parts or combinations thereof are not excluded in advance.

The spatially relative terms “below”, “beneath”, “lower”, “above”, “upper”, etc. are one as shown in the figure. It can be used to easily describe a correlation between a component and other components. The spatially relative terms should be understood as terms including different directions of components in use or operation in addition to the directions shown in the drawings. For example, if a component shown in the drawing is flipped over, the component described as "below" or "beneath" the other component will be placed "above" the other component. Can. Thus, the exemplary term “below” can include both the directions below and above. Components can also be oriented in different directions, and thus spatially relative terms can be interpreted according to orientation.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art to which the embodiment belongs. Terms, such as those defined in a commonly used dictionary, should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined in the present application. Does not.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of reference numerals, and redundant descriptions thereof will be omitted. In describing the embodiments, when it is determined that detailed descriptions of related well-known technologies may unnecessarily obscure the subject matter of the embodiments, detailed descriptions thereof will be omitted.

1 is an exemplary view of a configuration of a system according to an embodiment.

The system according to an embodiment includes a smart facility 100; Server 180; And it may include a user terminal 190. The smart facility 100 may include communication means 132. Communication means 132 of the smart facility 100; Server 180; And the user terminal 190 may be connected to a network to exchange data through wired/wireless communication.

The server 180 may be a server owned by a person or group managing the smart facility 100; It may be a cloud server; It may be a peer-to-peer (p2p) set of distributed nodes. The server 180 may be configured to communicate with the communication means 132 and the user terminal 190 of the smart facility 100 by wired or wireless.

The user terminal 190 may be a desktop computer, laptop, tablet, smartphone, or the like. An application developed or distributed by a person or organization managing the smart facility 100 may be installed in the user terminal 190. The user terminal 190 may be configured to communicate with the server 180 via wired or wireless.

The smart facility 100 may be a smart farm, a smart factory, a smart building, a smart lab, and the like. The smart facility 100 may include at least one management object 101-108. When the smart facility 100 is a smart farm, the management targets 101-108 may be crops or farming units. When the smart facility 100 is a smart factory, management targets 101-108 may be part of a facility or process line.

The smart facility 100 has a first correspondence relationship with each management object 101-108, and may include respective sensor groups 111-118 that measure the state of the management object having the first correspondence relationship. . Specifically, the first management target 101 includes a first sensor group 111; The second management target 102 includes a second sensor group 112; The third management target 103 includes a third sensor group 113; The fourth management target 104 includes a fourth sensor group 114; The fifth management target 105 includes a fifth sensor group 115; The sixth management target 106 includes a sixth sensor group 116; The seventh management target 107 includes a seventh sensor group 117; The eighth management object 108 may have a first correspondence with the eighth sensor group 118. The first correspondence relationship may be established by the server 180.

When the smart facility 100 is a smart farm, each sensor group may be a set of temperature sensors, humidity sensors, and illuminance sensors that measure the state of a crop or a crop unit having a first correspondence. When the smart facility 100 is a smart factory, each sensor group may be a temperature sensor and a current sensor that measure the state of a part of a facility or process line having a first correspondence.

The smart facility 100 has a second correspondence with each management object 101-108, and a management object 101- having a second correspondence based on control commands transmitted from the server 180 described later. It may include a group (121-128) of each state change means for changing the state of 108). Specifically, the first management target 101 includes a first state change means group 121; The second management target 102 includes a second state change means group 122; The third management target 103 includes a third state change means group 123; The fourth management target 104 includes a fourth state change means group 124; The fifth management target 105 includes a fifth state change means group 125; The sixth management target 106 includes a sixth state change means group 126; The seventh management target 107 includes a seventh state change means group 127; The eighth management target 108 may have a second correspondence with the eighth state change means group 128. The second correspondence can be established by the server 180.

When the smart facility 100 is a smart farm, each group of state change means changes the state of a crop or a crop unit having a second correspondence, the water flowing through the heated water (changes the temperature), the sprayer (humidity) (Variables), and illumination (varies the illuminance). When the smart facility 100 is a smart factory, each group of state change means changes the state of a part of a facility or a process line having a second correspondence, the water through which heated water flows (changes temperature), and It can be a power supply (changes the current).

The smart facility 100 may include an electricity supply means 131, a communication means 132, a gas supply means 133, and a water supply means 134 for operation and management of the facility. The communication means 132 can communicate with the sensor groups 111-118, the state change means groups 121-128, the electricity supply means 131, the gas supply means 133, the water supply means 134, and the like. Can be configured. In addition, the communication means 132 may be configured to communicate with the ventilation means 141, the temperature and humidity control means 142, the sunlight blocking means 143, and the height measurement sensor 144 described later.

The water supply means 134 may include a heating means 135 capable of adjusting the temperature of the water and a water thermometer capable of measuring the temperature of the water. The water heated through the heating means 135 from the water supply means 134 is supplied to the water included in the state change means group 121-128 to change or maintain the temperature of the management object 101-108. have.

The heating means 135 may be a carbon heating element. The smart facility 100 may heat the water of the water supply means 134 through an on/off control method using a carbon heating element. The smart facility 100 and the server 180 may set the temperature heating environment condition in advance to control the temperature of the carbon heating element in a feed forward manner to heat the water in the water supply means 134. The carbon heating element may be a heating element in which the carbon heating element is directly immersed in water and heated in order to increase the contact area between the water and the carbon heating element. Through this, it is possible to save 30% energy compared to an electric heater and 70% energy compared to an oil boiler. In addition, in order to improve the temperature control efficiency, hot water is mixed by the circulation motor of the water supply means 134 so that the overall temperature may be more uniform.

In addition, the smart facility 100 may include a ventilation means 141, a temperature and humidity control means 142, a sunscreen means 143, a height measurement sensor 144, and the like for operation and management of the facility. If there is no information on the ceiling height of the smart facility 100, the height measurement sensor 144 may measure the height from the ceiling to the floor of the smart facility 100 through ultrasonic waves, infrared rays, or the like.

Sensor groups 111-118 of the smart facility 100, state change means groups 121-128, electricity supply means 131, gas supply means 133, water supply means 134, ventilation means ( 141), the temperature and humidity control means 142, the sunlight blocking means 143, the height measurement sensor 144 may be configured to communicate with the communication means (132).

2 is a view for explaining the operation of the system according to an embodiment.

First, the system includes a smart facility 100; Server 180; And it may include a user terminal 190.

The smart facility 100 includes at least one management object (101-108); A respective sensor group 111-118 having a first correspondence relationship with each management object and measuring a state of a management object having a first correspondence relationship; Each state change means group (121-128) having a second correspondence relationship with each management object and applying a change to a state of a management object having a second correspondence relationship based on a control command; A water supply means 134 including a heating means 135 capable of adjusting the water temperature and a water thermometer capable of measuring the water temperature; And sensor groups 111-118, state change means groups 121-128, heating means 135 of the water supply means 134, and communication means 132 capable of communicating with the water thermometer. .

At least one sensor group 111-118 of the sensor groups 111-118 may include a temperature sensor capable of measuring the temperature of the management object 101-108 having the first correspondence.

At least one state change means group (121-128) of the state change means groups (121-128), the water supply means (134) to change the temperature of the management object (101-108) having a second correspondence ) May include a water flowing through the heated water supplied as a state change means.

For each management target, a group of sensors having a first correspondence relationship and a group of state changing means having a second correspondence relationship may have a third correspondence. Specifically, “the first sensor group 111 having a first correspondence with the first management object 101” and “a first state change means group 121 having a second correspondence with the first management object 101” 121 )” may have a third correspondence. Similarly, the second sensor group 112 and the second state change means group 122; A third sensor group 113 and a third state change means group 123; A fourth sensor group 114 and a fourth state change means group 124; A fifth sensor group 115 and a fifth state change means group 125; A sixth sensor group 116 and a sixth state change means group 126; A seventh sensor group 117 and a seventh state change means group 127; The eighth sensor group 118 and the eighth state change means group 128 may have a third correspondence. The third correspondence can be established by the server 180.

The server 180 may communicate with the communication means 132 and the user terminal 190 of the smart facility 100. The user terminal 190 may communicate with the communication means 132 and the server 180 of the smart facility 100.

Hereinafter, an operation of controlling a smart facility will be described.

First, the user terminal 190 may transmit a control condition for each management object to the server 180 (201). The control conditions for each management object may be target values of temperature, humidity, illuminance, and current of each management object 101-108, for example, at a predetermined time after work time. Specifically, the control condition for each management object may include a target temperature for each management object 101-108 for each predetermined time. The predetermined time may be one hour.

For example, the smart facility 100 may be a smart farm. Management objects (101-108) may be a crop or agricultural units. The first management target 101 may be an olive tree. The eighth management target 108 may be a ginseng field. The first management target 101 may require that the temperature is high, the humidity is low, and the illuminance is high. The eighth management object 108 may require that the temperature is appropriate, the humidity is high, and the illuminance is low. From the first management target 101 to the eighth management target 108, the required temperature may be lowered, the humidity may be higher, and the illuminance may be lowered.

The user terminal 190 may transmit control conditions for each management object to the server 180. As for control conditions for each management object, at 7 pm, the target temperature of the first management object 101 is 30°C, and the target temperature of the eighth management object 108 is 27°C; At 8 pm, the target temperature of the first management object 101 is 29°C, and the target temperature of the eighth management object 108 is 26°C; At 9 pm, the target temperature of the first management object 101 is 28°C, and the target temperature of the eighth management object 108 is 25°C; At 10 pm, the target temperature of the first management object 101 is 27°C, and the target temperature of the eighth management object 108 is 24°C; At 11 pm, the target temperature of the first management object 101 is 26°C, and the target temperature of the eighth management object 108 is 23°C; After 12 pm, a target temperature of the first management object 101 may be 25°C, and a target temperature of the eighth management object 108 may be controlled to maintain 22°C.

Subsequently, the user terminal 190 may transmit an hourly control command to the server 180 (202 ). The hourly control command may be, for example, a command for controlling the temperature, humidity, illuminance, and current of the management object to approach the target value after work time. Specifically, the hourly control command may include a command for controlling the flow rate of water flowing in the water of each state change means group 121-128 so that the difference between the first temperature and the second temperature becomes small. Here, the first temperature refers to the temperature measured by the sensor group having a third correspondence with the group of state change means that includes water as the state change means, and the second temperature is the state change means of the water among target temperatures for each management object. It may mean the target temperature of the management target having a second correspondence with the group of state change means including. The server 180 may transmit a control command corresponding to each time to the communication means 132 of the smart facility 100 according to each time of the received control command for each time (203 ).

For example, the user terminal 190 may transmit an hourly control command corresponding to 7:00 pm to the server 180 (202). The server 180 may transmit an hourly control command corresponding to 7:00 pm to the communication means 132 of the smart facility 100. According to 7:00 pm, the smart facility 100 flows water through the water of each state change means group 121-128 so that the difference between the first temperature and the second temperature of each management object 101-108 becomes smaller. Can be controlled. The same is true for 8 pm and 9 pm.

Subsequently, the communication means 132 may transmit control commands corresponding to each time to the state change means groups 121-128. Each state change means group (121-128) can change the state of the management object (101-108) having a second correspondence, based on a control command corresponding to each time. Each sensor group 111-118 may transmit a measurement value measuring the state of the management object 101-108 having the first correspondence to the communication means 132. The communication means 132 of the smart facility 100 may transmit the measured values measured by the sensor groups 111-118 to the server 180 (205).

Through this, even after work, it is possible to change the state of the management targets 101-108 according to the target value for each hour according to time. Through this, it is possible to gradually change the management status of crops or facilities in the smart facility over time even after work.

For example, at 7 pm, the target temperature of the first management object 101 may be 30°C, and the target temperature of the eighth management object 108 may be 27°C. At this time, the temperature of the first management object 101 measured through the temperature sensor of the first sensor group 111 is 32°C, and the eighth management object 108 measured through the temperature sensor of the eighth sensor group 118 The temperature of may be 25 ℃. Here, the communication means 132 may transmit a control command corresponding to 7:00 pm to the group of state change means (121-128). The first state change means group 121 lowers the flow rate of the water included in the first state change means group 121 based on a control command corresponding to 7:00 pm, so that the temperature of the first management target 101 It can be controlled from 32°C to 30°C. The eighth state change means group 128 increases the flow rate of the water contained in the eighth state change means group 128 based on a control command corresponding to 7:00 pm, so that the temperature of the eighth management target 108 It can be controlled to rise from 25°C to 27°C.

Through this, even after work, it is possible to change the state of the management targets 101-108 according to the target value for each hour according to time. Through this, it is possible to gradually change the management status of crops or facilities in the smart facility over time even after work.

Although the description has been made here mainly on the number of temperature sensors and state change means groups 121-128 of the sensor groups 111-118, other sensors and state change means groups 121-128 of the sensor groups 111-118. ) For other state change means. For example, if it is measured that the humidity of a specific management object is low at a specific time, the humidity can be increased by spraying water from the atomizer of the state changing means having a second correspondence with the management object at the time. In addition, if the illuminance of a specific management object is measured to be low at a specific time, the illuminance may be increased by turning on the lighting of the state changing means having a second correspondence with the management object at the time or by increasing the brightness of the lighting.

In addition, after the control corresponding to 7:00 pm is made, the temperature sensor of the first sensor group 111 can measure the temperature of the first management object 101 having the first correspondence and transmit it to the communication means 132 have. The measured temperature value can be, for example, 29.6°C. The temperature sensor of the eighth sensor group 118 may measure the temperature of the eighth management object 108 having the first correspondence and transmit it to the communication means 132. The measured temperature value can be, for example, 28°C.

Thereafter, the server 180 may analyze the state of the management objects based on the received measurement values (206). The server 180, for example, whether the state of each management object 101-108 is out of a predetermined allowable range from target values of temperature, humidity, illuminance, and current according to a control condition for each management object for a predetermined time. Can be analyzed. The server 180 may transmit a control command for each management object to the communication means 132 of the smart facility 100 based on the analyzed management objects status and the received control conditions for each management object (207 ). The allowable range may be ±0.5°C.

For example, the server 180 may analyze whether the temperatures of the first management object 101 and the eighth management object 108 are within an allowable range of 0.5° C. from a target temperature corresponding to 7 pm. Can. In the control condition for each management object, the target temperature corresponding to 7 pm of the first management object 101 may be 30°C, and the target temperature corresponding to 7 pm of the 8th management object 108 may be 27°C. The server 180 may analyze that the temperature of the first management object 101 is 29.6°C, and does not deviate from 0.5°C or more from the target temperature of 30°C at 7 pm. The server 180 may analyze that the temperature of the eighth management object 108 is 28° C. and deviated by 0.5° C. or more from the target temperature of 27° C., which corresponds to 7 pm.

The server 180 may transmit a control command for each management object to the communication means 132 of the smart facility 100 based on the analyzed management objects status and the control conditions for each management object received. Since the server 180 has a target temperature of 30°C for the first management object 101 and a temperature of the first management object 101 has not exceeded 0.5°C or more, the communication means 132 of the smart facility 100 As a result, a control command to control the first state change means group 121 may not be transmitted. In the server 180, the target temperature of the eighth management target 108 is 27°C, the temperature of the eighth management target 108 is out of 0.5°C or higher, and the temperature of the eighth management target 108 is 28 Since it is higher than the target temperature in °C, a control command to control the eighth state change means group 128 can be transmitted to the communication means 132 of the smart facility 100.

Through this, it is possible to change the state of the management objects (101-108) in accordance with the target value by time in response to the measured value of the sensor group (111-118). Through this, it is possible to gradually change the management status of crops or facilities over time even after work.

Next, the server 180 may transmit the status of the analyzed management objects to the user terminal 190 (208). The user terminal 190 may wait to receive a user's forced control command through a graphical user interface (GUI) (210 ). The GUI (Graphical User Interface) may receive a user's forced control command. The user terminal 190 may transmit a forced control command input by the user to the server 180 (211). The forced control command may be, for example, a forced control command that controls the temperature of the first management object 101 to 32°C.

Subsequently, the server 180 may transmit a compulsory control command to the communication means 132 of the smart facility 100 (212). The communication means 132 may transmit a compulsory control command to the state change means groups 121-128 that are the targets of the compulsory control. The state change means group 121-128, which is the target of the forced control, may change the state of the management target 101-108 having the second correspondence relationship based on the forced control command. A, it is possible to forcibly control the smart facility 100 (213).

For example, the server 180 may transmit information that the temperature of the first management object 101 is 29.6°C to the user terminal 190. The user terminal 190 may wait to receive a command for forcibly controlling the temperature of the user's first management object 101 through the GUI. The GUI may receive a user's forced control command to raise the temperature of the first management object 101 to 32°C. The user terminal 190 may transmit a forced control command input by the user to the server 180.

The server 180 may transmit a forced control command to increase the temperature of the first management target 101 to 32°C to the communication means 132 of the smart facility 100. The communication means 132 may transmit a forced control command to the first state change means group 121. The first state change means group 121 may increase the flow rate of the water included in the first state change means group 121 so that the temperature of the first management object 101 can be increased based on the forced control command. have. Through this, the smart facility 100 may be forcibly controlled (213).

The above is described from the server 180 point of view.

First, the server 180 may receive control conditions for each management object from the user terminal 190. At this time, the control conditions for each management object may include a target temperature for each management object. In addition, the server 180 may receive an hourly control command from the user terminal 190. The server 180 may transmit a control command corresponding to each time to the communication means 132 of the smart facility 100 according to each time of the control command for each time. At this time, the control command for each time may include a command for controlling the heat generation degree of the heating element and the flow rate of water flowing in the tap water so that the difference between the first temperature and the second temperature becomes smaller. Here, the first temperature may mean a temperature measured through a sensor group having a third correspondence with a group of state change means that includes water as a state change means, and the second temperature is a state of water among target temperatures for each management object. It may mean a target temperature of a management target having a second correspondence with a group of state change means included as a change means.

Thereafter, the server 180 may receive measurement values measured by sensor groups from the communication means 132. The server 180 may analyze the state of management objects based on the received measurement values. The server 180 may transmit a control command for each management object to the communication means 132 of the smart facility 100 based on the analyzed state of the management objects and the control conditions for each management object. In addition, the server 180 may transmit the status of management objects analyzed to the user terminal 190.

Thereafter, the server 180 may receive a forced control command from the user terminal 190. Subsequently, the server 180 may transmit a forced control command to the communication means 132 of the smart facility 100.

3 is a first flow chart for explaining target temperature adjustment for each management object according to an embodiment.

First, the water supply means 134 of the smart facility 100 may heat the water to supply heat per hour required by the management targets 101-108. The degree of heating of the water can be confirmed through the water thermometer of the water supply means 134. The water can be heated such that the temperature measured through the water thermometer is at least higher than the maximum value of the target temperatures of the objects to be managed 101-108. Heating of the water may be achieved through the heating means 135. The heating means 135 may be a carbon heating element.

The method of confirming that the management object 101-108 receives heat per hour required may be achieved by measuring the temperature of the management object 101-108 through the sensor group 111-118. When the heat per hour required by the management object 101-108 is not supplied, the target temperature of the management object 101-108 may be increased. When the target temperature of the management object 101-108 is increased, the flow rate of water flowing in the water may increase. As a result, more heat is transferred to the management objects 101-108, so that the temperature of the management objects 101-108 can be increased.

The higher the ceiling height of the smart facility 100, the more space is relatively open, so the management targets 101-108 radiate heat supplied from the water into a relatively large space. That is, the higher the ceiling height of the smart facility 100, the greater the degree to which management objects 101-108 dissipate heat to the outside. Therefore, in order to match the heat per hour required by the management object 101-108, the amount of heat to be supplied must be increased, so the target temperature of the management object must be adjusted higher.

Hereinafter, the target temperature adjustment for each management object performed by the server will be described.

First, the server 180 may acquire the height of the ceiling of the smart facility 100 (310). The ceiling height of the smart facility 100 may be obtained from pre-recorded design data, construction data, and the like of the smart facility 100. Alternatively, the ceiling height can be obtained through the height measurement sensor 144. When the height measurement sensor 144 measures the height of the smart facility 100 and transmits it to the communication means 132, the communication means 132 may transmit the measured ceiling height to the server 180.

Next, the server 180 may adjust the target temperature for each management object based on the ceiling height of the smart facility 100 (320). Specifically, based on a preset reference height, the higher the ceiling height, the higher the target temperature for each management object, and the lower the ceiling height, the lower the target temperature for each management object. The preset reference height may vary depending on the type of smart facility 100. When the smart facility 100 is a smart farm, the preset reference height may be 8.5 m. The specific target temperature adjustment degree according to the ceiling height may be determined through a pre-trained artificial neural network included in the server 180.

For example, the smart facility 100 is a smart farm, the preset reference height is 8.5 m, and the target temperature of the first management object 101 corresponding to 7 pm is 30° C., and the eighth management object 108 is When the target temperature is 27°C, if the height of the smart facility 100 measured through the height measurement sensor 144 is 10.0m, the server 180 sets the target temperature of the first management object 101 to 30.5°C, and 8 The target temperature of the management object 108 can be adjusted to 27.4°C.

Subsequently, the server 180 may acquire temperatures for each management object (330 ). The temperature for each management object may be obtained through the measurement value of the temperature sensor of the sensor group 111-118 having the first correspondence with the management object 101-108. When the temperature sensor of the sensor group 111-118 measures the temperature of the management object 101-108 having the first correspondence and transmits it to the communication means 132, the communication means 132 measures the server 180 The temperature of the managed object can be transferred. For example, the temperature of the first management object 101 acquired by the server 180 may be 29°C, and the management temperature of the eighth management object 108 may be 27.1°C.

Thereafter, the server 180 may further adjust the target temperature for each management object based on the temperature for each management object (340 ). Whether to further adjust the target temperature of the management object may be determined by determining whether the measured temperature of the management object is outside a predetermined allowable range from a target temperature at a preset reference height of the management object. The allowable range may be ±0.5°C.

For example, a target temperature corresponding to 7 pm at 8.5 m, which is a preset reference height of the first management object 101, may be 30°C. The measured 29°C of the first management object 101 is out of the predetermined allowable range of 0.5°C from the target temperature of 30°C at 8.5m, which is a preset reference height of the first management object 101, 29 Since the temperature is lower than 30°C, the target temperature of the first management object 101 can be adjusted to be higher. Accordingly, the target temperature of the first management object 101 can be adjusted from 30.5°C to 31°C.

On the other hand, a target temperature corresponding to 7 pm at 8.5 m, which is a preset reference height of the eighth management object 108, may be 27°C. Since the measured 27.1°C temperature of the eighth management object 108 does not deviate from the target allowable temperature of 27°C at 8.5m, which is the preset reference height of the eighth management object 101, the predetermined allowable range is 0.5°C. The target temperature of the management object 108 may no longer be adjusted.

Through the above, the server 180 controls the smart facility 100 to appropriately supply heat per hour required by the management targets 101-108 in response to the ceiling height of the smart facility 100. can do.

4 is a second flow chart for explaining target temperature adjustment for each management object according to an embodiment.

First, the water supply means 134 of the smart facility 100 may heat the water to supply heat per hour required by the management targets 101-108. The degree of heating of the water can be confirmed through the water thermometer of the water supply means 134. The water can be heated such that the temperature measured through the water thermometer is at least higher than the maximum value of the target temperatures of the objects to be managed (101-108). Heating of the water may be achieved through the heating means 135. The heating means 135 may be a carbon heating element.

The method of confirming that the management object 101-108 receives heat per hour required may be achieved by measuring the temperature of the management object 101-108 through the sensor group 111-118. When the heat per hour required by the management object 101-108 is not supplied, the target temperature of the management object 101-108 may be increased. When the target temperature of the management object 101-108 is increased, the flow rate of water flowing in the water may increase. As a result, more heat is transferred to the management objects 101-108, so that the temperature of the management objects 101-108 can be increased.

The specific heat capacity of water varies depending on the degree of minerals contained in the water. Therefore, even if the water is heated to the same temperature, the heat per hour that the same flow rate of water flowing in the water supply to the management object 101-108 may vary depending on the degree of minerals contained in the water.

More specifically, the more minerals are contained in water, the less specific heat of water tends to be. As an example, the specific heat capacity of distilled water is 4200 [J/(kg°C)], while the average sea water specific heat capacity is about 3850 [J/(kg°C)]. The lower the specific heat capacity of water, the less heat it contains, even if the water is heated to the same temperature. That is, even if the mineral-rich water is heated to the same temperature as the mineral-free water, the amount of heat contained per unit volume is small. Therefore, in order to supply the heat per hour required for the water containing a lot of minerals to the management targets 101-108, the flow rate of water flowing in the water must be higher than for the water containing less minerals, and for this, the management target The target temperature of should be adjusted higher than that of water containing less minerals.

Hereinafter, the target temperature adjustment for each management object performed by the server will be described.

First, the server 180 may define a distilled water-sea water index based on a specific heat capacity of distilled water and an average specific heat capacity of sea water (410). The distilled-seawater index of fresh water may be a value between 0 and 1. The distilled water-seawater index of distilled water may have a value of 0, and the distilled water-seawater index of average seawater may have a value of 1. The more minerals contained in water, the larger the distilled-seawater index of water can be.

Next, the server 180 may obtain information on water source of water supplied to the water (420). The water source information of the water supplied to the water may match the water source information of the water supplied to the water supply means 134 of the smart facility 100. Water source information supplied to the water supply means 134 of the smart facility 100 may be obtained by tracking the water source based on the area where the smart facility 100 is located, or input by the water manager of the smart facility 100 It can also be obtained through.

Subsequently, the server 180 may calculate a distilled water-seawater index of water supplied to the water based on the water source information (430). To this end, the server 180 may obtain a proportion of minerals contained in water of the corresponding water source by referring to a previously organized database based on the water source information. The higher the proportion of minerals in the water from the water source, the more distilled-seawater index close to 1 can be calculated and given to the water supplied to the water supply. In addition, the lower the proportion of minerals in the water from the water source, the more distilled-seawater index close to zero can be calculated and given to the water supplied to the water supply.

Subsequently, the server 180 may adjust the target temperature of the management targets having the second correspondence with the group of state change means including water as the state change means, based on the distilled water-sea water index of water supplied to the water ( 440). Specifically, based on the preset reference distilled water-seawater index, the higher the distilled water-seawater of water supplied to the water, the higher the target temperature for each management object, and the lower the distilled water-seawater of water supplied to the water, the target of the management object. The temperature can be lowered. The preset reference distilled water-seawater index may be 0.1. The specific target temperature adjustment degree according to the distilled water-seawater index may be determined through a pre-trained artificial neural network included in the server 180.

For example, when the preset reference distilled water-seawater index is 0.1, the target temperature of the first management object 101 corresponding to 7 pm is 30°C, and the target temperature of the eighth management object 108 is 27°C. , If the distilled water-seawater index of water supplied to the water calculated by the server 180 is 0.2, the server 180 sets the target temperature of the first management object 101 to 30.5°C and the target temperature of the eighth management object 108. Can be adjusted to 27.4°C.

Through the above, the server 180 is a management target (101-) in response to the mineral content ratio of water supplied to the water included in the water supply means 134 and the state change means group (121-128) of the smart facility 100 108) may control the smart facility 100 to properly supply heat per hour required.

5 is a view for explaining a GUI configuration according to an embodiment.

First, for each management target, a group of sensors having a first correspondence relationship and a group of state changing means having a second correspondence relationship may have a third correspondence. Specifically, “the first sensor group 111 having a first correspondence with the first management object 101” and “a first state change means group 121 having a second correspondence with the first management object 101” 121 )” may have a third correspondence. Similarly, the second sensor group 112 and the second state change means group 122; A third sensor group 113 and a third state change means group 123; A fourth sensor group 114 and a fourth state change means group 124; A fifth sensor group 115 and a fifth state change means group 125; A sixth sensor group 116 and a sixth state change means group 126; A seventh sensor group 117 and a seventh state change means group 127; The eighth sensor group 118 and the eighth state change means group 128 may have a third correspondence. The third correspondence can be established by the server 180.

In addition, each sensor group includes one or more sensors, each state change means group includes one or more state change means, sensors of the nth sensor group having a third correspondence, and nth state change means group The state change means of may have a third-n correspondence.

For example, the first sensor group 111 may include a temperature sensor, a humidity sensor, and an illuminance sensor, and the first state change means group 121 may be heated water flowing (changes temperature), Nebulizer (varies humidity), and illumination (changes illuminance). In addition, the temperature sensor of the first sensor group 111 includes the number of the first state change means group 121; The humidity sensor of the second sensor group 112 includes the nebulizer of the second state change means group 122; The illuminance sensor of the third sensor group 113 may have a 3-1 correspondence relationship with the illumination of the third state change means group 123. Similarly, the sensors of the k-th sensor group and the state-change means of the k-th state change means group may have a third-k correspondence (k = {2, 3, 4, 5, 6, 7, 8}). .

Hereinafter, a graphical user interface (GUI) of the user terminal 190 will be described.

The graphical user interface (GUI) of the user terminal 190 may include a first management target control setting screen 501A. The first management target control setting screen 501A includes an option element group 510; A management target display element group 520; Sensor group graphic element group 530; And a sensor group toggle element group 540.

The option element group 510 may include a login display element 511 and a setting screen moving element 512. The login display element 511 may indicate whether a person or organization having suitable qualifications for managing the smart facility 100 is logged in.

The setting screen moving element 512 may receive a user input from a user to “Management Control Settings Screen” to “Management Control Screen” or “Management Control Screen” to “Management Control Settings Screen”. . For example, when the user clicks or taps the setting screen moving element 512 on the first management target control setting screen 501A, the GUI controls the first management target control screen on the first management target control setting screen 501A. It can be converted to (501B). In addition, when the user clicks or taps the setting screen moving element 512 on the first management target control screen 501B, the GUI controls the first management target control setting screen 501A on the first management target control screen 501B. Can be converted to

The management target display element group 520 may receive a user input for checking the status and selecting the management targets 101-108 to be controlled. In the case of the first management target control setting screen 501A and the first management target control screen 501B, a state of receiving a user input to confirm and control the state of the first management target 101 is displayed. In the case of the second management target control setting screen 502A and the second management target control screen 502B, a state in which a user input to confirm and control the status of the second management target 102 is received is displayed.

The sensor group graphic element group 530 may graphically display a sensor group having a first correspondence relationship with each management object. Specifically, the sensor group graphic element group 530 is a temperature in which a temperature sensor, a humidity sensor, and an illuminance sensor included in the first sensor group 111 having a first correspondence with the first management object 101 are graphically displayed. It may include a sensor graphic element 531, a humidity sensor graphic element 532, and an illuminance sensor graphic element 533.

The sensor group toggle element group 540 may receive a user input for selecting sensors to measure a state of a management target from a sensor group having a first correspondence relationship with each management target. Specifically, the sensor group toggle element group 540 is first managed using a temperature sensor, a humidity sensor, and an illuminance sensor included in the first sensor group 111 having a first correspondence with the first management object 101. A temperature sensor toggle element 541, a humidity sensor toggle element 542, and an illuminance sensor toggle element 543 that respectively set whether to measure the state of the object 101 may be included.

In the case of the first management target control setting screen 501A, since the temperature sensor toggle element 541, the humidity sensor toggle element 542, and the illuminance sensor toggle element 543 are all toggled, the first state change means group 121 It is a state set to measure the state of the first management object 101 using all of the temperature sensor, humidity sensor, and illuminance sensor.

Next, the GUI of the user terminal 190 may include a first management target control screen 501B. When user input is made to the optional element group 510 of the first management target control setting screen 501A, the GUI may be switched from the first management target control setting screen 501A to the first management target control screen 501B. have.

The first management target control screen 501B may include a sensor group measurement value display element group 550. The sensor group measurement value display element group 550 may display values generated based on measurement values measured by sensors selected by a user.

In the case of the first management target control screen 501B, in the first management target control setting screen 501A, the temperature sensor toggle element 541, the humidity sensor toggle element 542, and the illuminance sensor toggle element 543 are all the user's Since it has been selected and toggled, the first management target control screen 501B has a temperature sensor measurement value display element 551, a humidity sensor measurement value display element 552, and an illuminance sensor on the state of the first management object 101. The measured value display element 553 can be displayed. The temperature sensor measurement value display element 551 may display a temperature measured by a temperature sensor of a sensor group having a first correspondence with a management target and a target temperature by time. The humidity sensor measurement value display element 552 may display the humidity measured by the humidity sensor of the sensor group having the first correspondence with the management target and the target humidity by time. The illuminance sensor measurement value display element 553 may display the illuminance measured by the illuminance sensor of the sensor group having the first correspondence with the management target and the target illuminance by time.

The first management target control screen 501B may include a state change means group forced control element group 560. The state change means group forced control element group 560 may receive a user input for transmitting a forced control command to management target state change means having a third-n correspondence with sensors selected by the user. When a user input is input to the state change means group forced control element group 560, the user terminal 190 transmits a forced control command to the server 180, and the server 180 communicates with the smart facility 100 The forced control command is transmitted to 132, and the communication means 132 can transmit the forced control command to the state change means group 121-128 corresponding to the forced control command.

In the case of the first management target control screen 501B, in the first management target control setting screen 501A, the temperature sensor toggle element 541, the humidity sensor toggle element 542, and the illuminance sensor toggle element 543 are all the user's Since the selection was toggled, the first management target control screen 501B includes a water force control element 561 indicating a water supply having a 3-1 correspondence with the temperature sensor; A nebulizer forced control element 562 representing a nebulizer having a 3-1 correspondence with a humidity sensor; An illumination forcing control element 563 may be displayed indicating illumination having a 3-1 correspondence with the illuminance sensor. The water force control element 561 can change the flow rate of the water in the group of state change means having the second correspondence with the management object or lock the water. The nebulizer force control element 562 may change the amount of particles sprayed by the nebulizer of the state change means group having a second correspondence with the management object or lock the nebulizer. The lighting control element 563 may change the brightness of the lighting of the group of state change means having the second correspondence with the management object or turn off the lighting.

On the other hand, as in the case of the second management target control setting screen 502A, the user can toggle to check and control the temperature of the second management target 102, and to uncheck that the humidity and illuminance will not be checked or controlled. In this case, only the temperature sensor graphic element 531, the temperature sensor measurement value display element 551, and the water force control element 561 may be displayed on the second management target control screen 502B.

6 is a view for explaining the learning of an artificial neural network according to an embodiment.

The artificial neural network may be a component included in the server 180, and may be learned through the server 180 or a separate learning device.

The artificial neural network can receive the height of the ceiling of the smart facility and the distilled water-seawater index of water supplied to the water, and output the degree of target temperature adjustment.

Hereinafter, a process of learning an artificial neural network through a learning device will be described.

First, the learning device can generate training data.

For artificial neural network learning, the learning device may collect ceiling heights of various smart facilities and water supplied to the water, and generate various ceiling heights and distilled-seawater indexes as training data.

Next, the learning device can generate a label.

For learning of an artificial neural network, the learning device, for each ceiling height and distilled water-seawater index, when the target temperature is adjusted, when the management target is a preset reference height after a predetermined time and a preset reference distilled water-seawater index The target temperature adjustment degree when included in a temperature within the allowable range from the target temperature of is regarded as a suitable target temperature adjustment degree, and a label corresponding to each training data may be generated at this time.

Subsequently, the learning device may generate an input from the training data (610 ).

The learning device may generate the input of the artificial neural network after performing normal processing such as using the distilled water-seawater index of the water supplied to the smart facility as the input of the artificial neural network or calibrating the unit.

Next, the learning device may apply the input to the artificial neural network (620). The artificial neural network included in the server may be an artificial neural network learned according to supervised learning. The artificial neural network may be a convolutional neural network (CNN) or a recurrent neural network (RNN) structure suitable for learning through supervised learning.

Subsequently, the learning device may acquire an output from the artificial neural network (630).

The output of the artificial neural network includes, for each ceiling height and distilled water-seawater index, when the target temperature is adjusted, the target temperature when the managed object is a preset reference height after a predetermined time and a preset reference distilled water-seawater index It may be inference of the degree of target temperature adjustment to be possible. Specifically, the artificial neural network infers the degree to which the target temperature should be higher as the ceiling height is higher, infers the degree to which the target temperature is lower as the ceiling height is lower, and the degree to which the target temperature is higher as the distilled water-seawater index is higher Infer, and the lower the distilled water-seawater index, the less the target temperature should be inferred, and when the complex relationship between the ceiling height and the distilled water-seawater index deduces the degree to which the target temperature should change, the target temperature adjustment degree Can output

Thereafter, the learning device may compare the output and the label (640 ). The process of comparing the output of the artificial neural network corresponding to inference and the label corresponding to the correct answer may be performed by calculating a loss function. As the loss function, a known mean squared error (MSE), a cross entropy error (CEE), or the like can be used. However, the present invention is not limited thereto, and if the deviation, error or difference between the output and the label of the artificial neural network can be measured, loss functions used in various artificial neural network models may be used.

Next, the learning device may optimize the artificial neural network based on the comparison value (650). By updating the weight of the nodes of the artificial neural network so that the learning device comparison value becomes smaller and smaller, the output of the artificial neural network corresponding to inference and the label corresponding to the correct answer can be gradually matched. It can be optimized to output inferences close to the correct answer. Specifically, the learning apparatus may optimize the artificial neural network by repeating the process of resetting the weight of the artificial neural network so that the loss function corresponding to the comparison value approaches the estimated value of the minimum value. For optimization of the artificial neural network, a known backpropagation algorithm, stochastic gradient descent, or the like can be used. However, the present invention is not limited thereto, and the weight optimization algorithm used in various neural network models may be used.

The learning device can train the artificial neural network by repeating this process.

Through this, the learning device is based on the ceiling height of the smart facility and the distilled water-seawater index of water supplied to the water, and the target temperature when the management target is a preset reference height and a preset reference distilled water-seawater index after a predetermined time. It is possible to train an artificial neural network that outputs a target temperature adjustment degree.

7 is an exemplary view of a configuration of an apparatus according to an embodiment.

The device 701 according to an embodiment includes a processor 702 and a memory 703. The processor 702 may include at least one device described above with reference to FIGS. 1 to 6, or may perform at least one method described above with reference to FIGS. 1 to 6. Specifically, the device 701 includes a sensor group 111-118 of the smart facility 100, a state change means group 121-128, an electricity supply means 131, a communication means 132, a gas supply means 133 ), water supply means 134, ventilation means 141, temperature and humidity control means 142, sunlight blocking means 143, or height measurement sensor 144; Server 180; A user terminal 190; Or it may be an artificial neural network learning device. A person or organization using the device 701 may provide a service related to some or all of the methods described above with reference to FIGS. 1 to 6.

The memory 703 may store information related to the methods described above or a program implemented with methods described below. The memory 703 may be volatile memory or nonvolatile memory.

The processor 702 may execute a program and control the device 701. The code of the program executed by the processor 702 may be stored in the memory 703. The device 701 is connected to an external device (for example, a personal computer or a network) through an input/output device (not shown), and exchanges data through wired/wireless communication.

The device 701 can be used to train an artificial neural network or to use a learned artificial neural network. The memory 703 may include an artificial neural network being learned or learned. The processor 702 may train or execute an artificial neural network algorithm stored in the memory 703. The apparatus 701 for training the artificial neural network and the apparatus 701 using the learned artificial neural network may be the same or may be individual.

The embodiments described above may be implemented with hardware components, software components, and/or combinations of hardware components and software components. For example, the devices, methods, and components described in the embodiments include, for example, processors, controllers, arithmetic logic units (ALUs), digital signal processors (micro signal processors), microcomputers, and field programmable gates (FPGAs). It can be implemented using one or more general purpose computers or special purpose computers, such as arrays, programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of the software. For convenience of understanding, a processing device may be described as one being used, but a person having ordinary skill in the art, the processing device may include a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that may include. For example, the processing device may include a plurality of processors or a processor and a controller. In addition, other processing configurations, such as parallel processors, are possible.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. Computer-readable media may include program instructions, data files, data structures, or the like alone or in combination. The program instructions recorded on the medium may be specially designed and constructed for the embodiments or may be known and usable by those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language code that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler. The hardware device may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

The software may include a computer program, code, instruction, or a combination of one or more of these, and configure the processing device to operate as desired, or process independently or collectively You can command the device. Software and/or data may be interpreted by a processing device, or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodied in the signal wave being transmitted. The software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

As described above, although the embodiments have been described by a limited drawing, various technical modifications and variations can be applied based on a person having ordinary skill in the art. For example, the described techniques are performed in a different order than the described method, and/or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or other components Alternatively, proper results can be achieved even if replaced or substituted by equivalents.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (5)

At least one management object;
A respective sensor group having a first correspondence relationship with each management object and measuring a state of a management object having the first correspondence relationship;
A group of respective state change means having a second correspondence relationship with each management object and changing a state of the management object having the second correspondence based on a control command; And
Communication means capable of communicating with sensor groups and state change means groups
Containing
Smart facilities;
A server capable of communicating with the communication means; And
User terminal capable of communicating with the server
Containing
In the smart facility control system,
The smart facility control method through the server,
Receiving control conditions for each management object from the user terminal;
Receiving an hourly control command from the user terminal;
Transmitting a control command corresponding to each time to the communication means according to each time of the time-dependent control command;
Receiving measurement values measured by the sensor groups from the communication means;
Analyzing the state of the management objects based on the measured values;
Transmitting a control command for each management object to the communication means based on the analyzed state of the management objects and the control conditions for each management object;
Transmitting the status of the analyzed management objects to the user terminal;
Receiving a forced control command from the user terminal; And
Transmitting the forced control command to the communication means
It includes,
At least one of the state change means group of the state change means group includes a water flow (水道) as a state change means,
The smart facility control method,
Defining a distilled water-sea water index based on a specific heat capacity of distilled water and an average specific heat capacity of sea water;
Obtaining water source information of water supplied to the water supply;
Calculating a distilled water-seawater index of water supplied to the water supply based on the water source information;
Adjusting a target temperature of management objects having the second correspondence with groups of state change means including the water as a state change means, based on a distilled water-sea water index of water supplied to the water;
Containing more
Smart facility control method.
According to claim 1,
The control conditions for each management target include target temperatures for each management target,
The smart facility control method,
Acquiring a ceiling height of the smart facility;
Adjusting a target temperature for each management object based on the ceiling height of the smart facility;
Obtaining a temperature for each management object; And
Further adjusting the target temperature for each management object based on the temperature for each management object.
Further comprising,
Smart facility control method.


delete Smart facility control system
At least one management object;
A respective sensor group having a first correspondence relationship with each management object and measuring a state of a management object having the first correspondence relationship;
A group of respective state change means having a second correspondence relationship with each management object and changing a state of the management object having the second correspondence based on a control command; And
Communication means capable of communicating with sensor groups and state change means groups
Containing
Smart facilities;
A server capable of communicating with the communication means; And
User terminal capable of communicating with the server
It includes,
The user terminal
Control conditions for each management target are transmitted to the server,
Transmit the control command by hour to the server,
The server
A control command corresponding to each time is transmitted to the communication means in accordance with each time of the received control command by time,
The communication means
Transmitting control commands corresponding to the respective times to the state change means groups,
Each group of state change means
Based on the control command corresponding to each time, a change is made to the state of the management object having the second correspondence,
Each sensor group
Transmits a measurement value measuring a state of a management target having the first correspondence to the communication means,
The communication means
The measurement values measured by the sensor groups are transmitted to the server,
The server
Based on the received measurement values, the state of the management objects is analyzed,
Based on the analyzed management target status and the control conditions for each management target, the control means transmits a control command for each management target,
Transmits the status of the analyzed management objects to the user terminal,
The user terminal
Receive the user's forced control command through the GUI (Graphical User Interface),
Sends a forced control command input by the user to the server,
The server
Transmit the forced control command to the communication means,
The communication means
Transmitting the forced control command to a group of state change means that is the target of forced control,
The group of state change means to be subject to the forced control is
Based on the forced control command, a change is made to the state of the management object having the second correspondence.
In the smart facility control system,
At least one of the state change means groups among the state change means groups includes water flowing through water as a state change means,
The server,
Define the distilled water-sea water index based on the specific heat capacity of distilled water and the average specific heat capacity of sea water,
Obtaining water source information of the water supplied to the water supply,
Based on the water source information, calculate the distilled water-seawater index of water supplied to the water supply,
Based on the distilled water-seawater index of the water supplied to the water supply, the communication means transmits a control command to adjust the target temperature of the management targets having the second correspondence with groups of the state change means including the water as a state change means. Sent to,
Smart facility control system.
The method of claim 4,
For each management target, the sensor group having the first correspondence relationship and the group of state changing means having the second correspondence relationship have the third correspondence,
Each sensor group includes one or more sensors,
Each state change means group includes one or more state change means,
The sensors of the n-th sensor group having the third correspondence and the state-changing means of the n-th state change means group have a third-n correspondence,
The GUI of the user terminal,
A first element group receiving a user input for selecting sensors to measure a state of a management object from a sensor group having a first correspondence relationship with each management object;
A second element group that displays values generated based on the measured values measured by the sensors selected by the user; And
A third element group receiving a user input for transmitting a forced control command to management target state change means having a third-n correspondence with the sensors selected by the user;
Containing
Smart facility control system.

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