KR101972227B1 - Smart home controlling apparatus based intellect learning and method thereof - Google Patents

Abstract

The present invention relates to an intelligent learning-based smart home energy appliance control apparatus and a method thereof. According to the present invention, the smart home energy appliance control apparatus includes indoor environment data including at least one of indoor temperature, humidity and air cleanliness of the occupant space measured in real time, and indoor environment data including at least one of the plurality of home appliances An environment index calculating unit for calculating at least one environmental index from the discomfort index, the heat index and the corruption index using the indoor environment data, A setting unit for setting a target point of the room temperature and humidity of the resident space or a target point of the air cleanliness degree so as to be a value within the predetermined comfortable exponent range by using the energy usage amount of the home appliance, To generate the driving schedule of the home appliance And a control unit for controlling the household appliances according to the driving schedule by using infrared communication.
As described above, according to the present invention, the indoor environment of the living space can be automatically controlled through the living pattern of the occupant or the living environment information of the living space, so that the convenience of the occupant can be increased and the energy use efficiency can be greatly increased.

Description

TECHNICAL FIELD [0001] The present invention relates to a smart home energy device control apparatus and a smart home energy control apparatus based on intelligent learning,

The present invention relates to an intelligent learning-based smart home energy appliance control apparatus and a method thereof, and more particularly, to a smart home energy appliance control apparatus and a smart home energy appliance control apparatus based on intelligent learning to improve the living use convenience of a resident, And a control method therefor.

Household appliances related to energy use in general households use various appliances according to daily life use. Air conditioner for heating and cooling, air conditioner for heating and cooling, boiler, heater, electric heater, air cleaner for air quality control, and air conditioner for air conditioner for air conditioner, TV, audio, game machine for entertainment, refrigerator for eating, refrigerator for kimchi, , A humidifier, an electric motor for lighting, and various lighting devices.

Appliances that are sensitive to human body sensations such as changes in indoor and outdoor environmental conditions and body temperature and respiration of people are air conditioning devices such as air conditioners, fans, boilers, heaters, electric heaters, air cleaners and humidifiers And are those that most influence the volatility of energy usage.

These home appliances are controlled at a level that satisfies the human body sensibility at the time of home life, and when they go out, all functions are switched to the Off or Stop state and go out. In this case, the cold state of the room and the quality of the air are rapidly changed, and the external environment such as summer or winter may greatly differ from the physical condition.

Especially, when the residents change the situation from outdoor to indoor, the human body sensation responds most sensitively. As a result, there is a tendency that the indoor environment state is operated at the maximum level to meet the human body sensibility level In this case, household energy use is likely to increase rapidly.

Analysis of the correlation between the operating state and the energy consumption of the heating and air conditioning equipment and the air quality management equipment in the most satisfying state of the human body during the daily life in the home is analyzed by statistical technique and intelligent learning technique to extract the optimal environment control pattern So that it is possible to reduce the unnecessary use of energy by allowing the householder to control the home appliance in the optimal environment state in the indoor life.

Especially, in case of a change in the situation where the living person goes out to the room, the residents' schedule is grasped in advance and the air-conditioning equipment and the air quality management device are operated on the condition that the energy use efficiency is optimized before entering the room, By preventing artificial control, it is possible to maximize the efficiency of energy use while creating a pleasant condition for the quality of indoor air.

The background technology of the present invention is disclosed in Korean Patent Laid-open No. 10-2016-0125284 (published October 31, 2016).

SUMMARY OF THE INVENTION It is an object of the present invention to provide an intelligent learning-based smart home appliance control apparatus and method for enhancing living convenience of a resident and improving energy use efficiency of household appliances.

According to an aspect of the present invention, there is provided a smart home energy appliance control system including indoor environment data including at least one of indoor temperature, humidity, and air cleanliness of a resident space measured in real time, An environment index calculating unit for calculating at least one environmental index from the discomfort index, the heat index and the corruption index using the indoor environment data, Setting a target point of room temperature and humidity of the occupant space or setting a target point of the air cleanliness degree so as to be a value within the predetermined comfort index range by using the energy usage amount of the home appliance A setting unit, and a control unit So as to generate a driving schedule of the appliance and, using infrared communications and a controller for controlling the home appliance in accordance with the driving schedule.

The data collecting unit collects outdoor environment data including atmospheric temperature, humidity, and air cleanliness of the outside of the indoor space, and life pattern data according to the time of going out and returning time of the occupant and transmits the indoor environment data, The analyzing unit may accumulate and analyze the energy usage amount of the home appliance and the life pattern data for a predetermined period of time, and set the comfort index range by time, day, quarter, and season.

The setting unit may set the target point of the room temperature, the humidity, or the air cleanliness degree so that the energy usage amount of the household appliances becomes the minimum value within a predetermined comfortable exponent range.

Wherein the control unit sets the set temperature, the set humidity, and the driving time of the home appliance in correspondence with the amount of energy required to reach at least one of the room temperature, the humidity, and the air cleanliness at the present time, The driving time zone of the home appliance can be set using the life pattern data of the home appliance.

Wherein the control unit accumulates the energy usage amount according to the driving schedule of the home appliances for a predetermined period of time by simulation and controls the home appliances according to the driving schedule if the energy usage for the predetermined period is less than the preset energy target, Setting a target amount of energy usage by day or time zone to be less than or equal to a predetermined energy target amount using the simulation result if the energy usage amount during the predetermined period is equal to or greater than a predetermined energy target amount, It is possible to change the driving schedule of the household appliances based on the reference.

The control unit may set an energy target amount using the electricity price and the progressive agent that have been announced, and estimate the energy use amount through the following equation.

Here, EnergyCOST electrical charge (energy consumption), C _t is a real time electricity price, P _t ⁱ is I rated power, α of the first consumer electronics pleasure index levels, u _t ⁱ denotes the i-th home appliances t hour operation do.

Wherein the controller obtains a difference between a outdoor temperature and an indoor temperature at a time of going out and a time at which the occupant is predicted through the life pattern data of the resident and if the temperature difference is a heat shock or a cold shock, It is possible to control the electric appliance so as to have a value within a temperature difference range which does not feel the temperature difference.

According to another embodiment of the present invention, there is provided a method for controlling a smart home energy appliance using a smart home energy appliance control device, the method comprising: storing indoor environment data including at least one of room temperature, humidity, The method of claim 1, further comprising the steps of: collecting energy usage of a plurality of home appliances located in the resident space; computing at least one environmental index from the discomfort index, the heat index and the corruption index using the indoor environment data; When the exponent value is out of the predefined comfort index range, a target point of the indoor temperature and humidity of the occupant space is set to a value within the predetermined comfortable exponent range by using the energy consumption of the home appliance, , And a step of setting Generating a driving schedule of the home appliance and controlling the home appliance in accordance with the driving schedule using infrared communication.

As described above, according to the present invention, the indoor environment of the residence space can be automatically controlled through the living pattern of the resident or the environment information of the residence space, so that the convenience of the resident can be greatly increased and the energy use efficiency can be greatly increased.

In addition, by applying the infrared communication method of the remote control communication method, it is possible to provide integrated control for all devices capable of infrared communication, thereby providing convenience of residents.

1 is a view for explaining a smart home energy control system according to an embodiment of the present invention.
2 is a configuration diagram of a smart home energy control device according to an embodiment of the present invention.
3 is a flowchart illustrating a method of controlling a smart home energy appliance of a smart home energy appliance control apparatus according to an embodiment of the present invention.
4 is a view for explaining the step S330 of FIG.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when an element is referred to as " comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention.

1 is a view for explaining a smart home energy control system according to an embodiment of the present invention. 1, a smart home energy appliance control system according to an embodiment of the present invention is a system in which a smart home energy appliance control apparatus 200 receives external environmental information, indoor environmental information, living pattern information And power usage information, and data processing the collected information to control household appliances 300 such as boilers, air conditioners, air circulation fans, air cleaners, and humidifiers.

At this time, the smart home energy appliance control device 200 transmits a signal for controlling the operation of the household appliance 300 using the infrared communication method.

Here, the external environment information can be received by the smart home energy appliance control apparatus 200 from the database of the Meteorological Administration. The indoor environmental information is measured from the indoor environmental sensor 100, and the indoor environmental sensor 100 includes a gas sensor, a humidity sensor, and a temperature sensor. The life pattern information can be measured from the resident terminal 400, and the resident terminal 400 includes a smart phone, a smart watch, and the like. And power usage information can be measured via a smart switch or a smart plug (not shown).

Specifically, the smart home energy appliance control system includes an environment sensor 100 for collecting indoor air condition information, a smart switch or a smart switch for collecting information on the operation state and energy consumption of the indoor appliance 300 including the air conditioner and the air conditioner Data is collected from each device through communication with a smartphone or a wearable device device for recognizing life pattern and situation of a plug and a resident, and data is analyzed based on intelligent learning, And generates a device control schedule that is an optimal condition to perform a preliminary multiple control on the devices for air conditioner and air quality management.

The environmental sensor 100 measures the indoor air quality such as temperature, humidity, CO2, fine dust, and VOC and collects the collected information in various real-time communication methods such as Bluetooth, Z-wave, Zigbee and Wifi And a function of transmitting data to the smart home energy appliance control apparatus 200. [

The smart switch or the smart plug is connected to the plug of the home appliance 300 such as the air quality management device and the heating and cooling appliance so that the operation state and the energy usage information of the home appliance 300 can be transmitted to various types of short distance communication such as Bluetooth, Z-wave, Zigbee, And transmits the data to the smart home energy appliance control apparatus 200 in a manner that is the same as that of the first embodiment.

The resident terminal 400 includes a function of transmitting data to the smart home energy appliance control device 200, such as daily life pattern, time of day, return time, etc., .

The smart home energy appliance control device 200 collects data from each device and analyzes it on the basis of intelligent learning to generate a device control schedule that is an optimal condition for an environmental condition condition and energy use efficiency for an indoor resident, And a function of performing multiple control functions on the device and the air quality control container units.

Particularly, the smart home energy appliance control apparatus 200 can grasp the changes in the living conditions of the residents living in the living room and indoor / outdoor environment conditions at the time of going out and returning, and optimize the energy efficiency of the heating / It is possible to operate in advance.

At this time, the smart home energy appliance control apparatus 200 can perform control for all devices capable of infrared communication by applying the common infrared communication scheme of the remote control communication system. Can be used.

Hereinafter, a smart home energy control device according to an embodiment of the present invention will be described in detail with reference to FIG.

2 is a configuration diagram of a smart home energy control device according to an embodiment of the present invention. 2, the smart home energy appliance control device 200 includes a data collection unit 210, an environment index calculation unit 220, a setting unit 230, a control unit 240, and an analysis unit 250 do.

The data collecting unit 210 collects the indoor environment data related to the indoor and outdoor temperature and humidity of the resident living space measured in real time. The indoor environmental data may include temperature, humidity, indoor gas concentration, and fine dust concentration information of the resident's residential space. The data collection unit 210 may collect energy usage of a plurality of home appliances 300 located in a resident living space.

In addition, the data collection unit 210 may collect outdoor environment data including atmospheric temperature, humidity, and air cleanliness of the outside of the indoor space, and life pattern data according to the outgoing time and return time of the occupant.

The environmental index calculation unit 220 calculates an environmental index including at least one of the discomfort index, the heat index number, and the corruption index using the indoor environment data.

Here, the discomfort index is an index representing the temperature felt by a person in combination of temperature and humidity, and is also referred to as a temperature and humidity index. A high discomfort index means that a person is likely to feel uncomfortable. The heat index is an index of the heat that a person actually feels according to temperature and humidity, and the index of corruption indexes the degree of corruption of goods or food depending on temperature and humidity.

Next, the setting unit 230 sets the indoor temperature and humidity target point of the residential space so that the environmental index is within the predetermined comfort index range using the energy consumption of the household appliance 300 and the power consumption of the residential space in the predetermined period .

In addition, the setting unit 230 can set a target point of the indoor gas concentration and the fine dust concentration in the occupant's residential space using the indoor gas concentration, the fine dust concentration information, and the energy usage amount of the household appliance 300.

Next, the control unit 240 generates a driving schedule of the home appliance 300 so that the indoor environment of the resident living space reaches the target point. The control unit 240 can control the home appliance 300 according to the driving schedule in consideration of the life pattern data of the resident.

Next, the analysis unit 250 accumulates the indoor environment data, the outdoor environment data, the energy usage amount and the life pattern data of the home appliance 300 for a predetermined period of time and performs time series analysis by time, Analyze the correlation.

The analysis unit 250 may set a comfort index range according to the classification of each environmental index, or may set a comfortable exponent range according to the sensibility according to residents by considering the resident's life pattern data.

For example, in the case of a resident who is sensitive to heat, the analysis unit 250 may analyze the correlation between the indoor environment data, the outdoor environment data, the energy usage amount of the household appliance 300, and the life pattern data, It is possible to presume that the user prefers the indoor environment at a temperature lower than the normal comfort index range, and accordingly the comfort index range can be set to a temperature range relatively lower than the general comfort index range.

The analyzer 250 may analyze the cumulative data stored at predetermined intervals, recalculate the comfort index range, and update the comfort index range.

The analysis unit 250 can perform a big data analysis on the previous data such as the daily air temperature, the indoor temperature, the temperature difference between the atmospheric temperature and the indoor temperature, the heating temperature, and the daily energy use amount according to the target setting.

Here, the heating city represents the sum of the times having the indoor temperature of less than 18 degrees per day based on the indoor temperature of 18 degrees, and the cooling city is the sum of the times having the indoor temperature of 18 degrees per second Express. For example, if the average daily temperature is 8 degrees, the heating value for the day is 240 KH, which is (18-8) K * 24H.

In this way, the analysis unit 250 can analyze the degree of correlation with the heating energy consumption amount according to the heating city value.

Hereinafter, a method of controlling a smart home energy device using a smart home energy appliance control device according to an embodiment of the present invention will be described in detail with reference to FIGS.

3 is a flowchart illustrating a method of controlling a smart home energy appliance of a smart home energy appliance control apparatus according to an embodiment of the present invention.

As shown in FIG. 3, first, the data collecting unit 210 collects the indoor environment data measured in real time and the energy usage amount of a plurality of household appliances (S310).

That is, the data collecting unit 210 collects the indoor environmental data including at least one of the room temperature, the humidity, the indoor gas concentration and the air cleanliness including the fine dust concentration in the occupant space, And collects the energy usage of the plurality of household appliances 300. Here, the plurality of household appliances represent household appliances 300 such as a boiler, an air conditioner, an air circulation fan, an air purifier, and a humidifier that affect the temperature, humidity, and air cleanliness of a resident space, but are not limited thereto.

At this time, the data collecting unit 210 collects the energy consumption of the household appliance 300 by time zone, and separately collects data on the posted electricity rate and progressive agent through the network.

The data collecting unit 210 collects outdoor environment data including atmospheric temperature, humidity, and air cleanliness of the outside of the indoor space, and life pattern data of the occupants according to the outgoing time and return time information in the resident's residential space.

In addition, the data collection unit 210 may store the collected indoor environment data, outdoor environment data, energy usage amount of household appliances, and life pattern data in a separate database.

Next, the operation unit 220 calculates an environmental index including at least one of the discomfort index, the heat capacity index and the corruption index using the indoor environment data (S320). Here, the method of calculating the unpleasantness index, the heat capacity and the corruption index using the temperature and humidity information is obvious to those skilled in the art, so a detailed description thereof will be omitted.

If the calculated environment index value is out of the preset comfort index range, the setting unit 230 sets the indoor index of the occupant's residential space so that the environment index is included within the predetermined comfortable index range, A target point of temperature and humidity or a target point of air cleanliness is set (S330).

Here, the predetermined comfort index range can be set according to the classification value of each environmental index. For example, if the value of the heat capacity is more than 54, the risk of heat stroke or sunstroke is very high. If the value is more than 41 and less than 54, the risk of heat stroke, There is a possibility of heat stroke, heat seizure and heat exhaustion during physical activity, and below 32, it can be classified as high fatigue risk during physical activity.

In this way, the setting unit 230 can set the predetermined comfort index range according to the classification value of the environmental index to less than 32 in the case of the heat index number.

The setting unit 230 accumulates and analyzes the indoor environment data, the outdoor environment data, the energy usage amount of the household appliances 300 and the living pattern data of the residents for a preset period of time in addition to the classification values of the respective environmental indexes, It is possible to extract the comfort index range best suited to occupants by day, quarter, and season.

At this time, the comfort index range can be divided into stages according to the degree of comfort of residents. For example, it can be classified into a range of optimal comfort index indicating an ideal indoor environment having a high degree of comfort and a range of minimum comfort index having no discomfort in indoor life.

Then, step S330 will be described in detail with reference to FIG. 4 is a view for explaining the step S330 of FIG.

As shown in FIG. 4, when the currently measured environmental index according to the temperature and the humidity is A (summer time point data) at the upper right, the measured environmental index indicates a yellow line indicating an unpleasant range and a range in which the user can feel comfort It can be seen that it deviates much from the green line shown.

In other words, to make the residents feel comfortable in the residential area, the currently measured environmental index should be shifted to within the green line range.

At this time, the total energy consumption used in the residents' residential space may vary greatly depending on the point at which the target point is set.

In other words, when the total energy usage amount used in the resident's residential space exceeds a certain amount, the electricity usage fee is high and the overall energy efficiency is lowered. Therefore, the setting unit 230 of the present invention is configured to display a green color range And sets the target point with the highest energy use efficiency.

That is, the setting unit 230 sets the target point so that the environmental index value of the current time point can be within the range of the green line where the comfort can be felt. The target point where the energy usage amount of the household appliance 300 is the minimum value can be set have.

At this time, the setting unit 230 sets the target point by estimating the energy usage amount of the household appliance 300 that can change the temperature, the humidity, and the air cleanliness.

Next, the control unit 240 generates the driving schedule of the home appliance 300 so that the indoor environment data of the resident living space reaches the target point, and controls the home appliance 300 according to the driving schedule using the infrared communication (S340 ).

That is, the control unit 240 can calculate the amount of energy required to match the room temperature and humidity at the current point of time to the target point, and estimate the required driving time under the calculation of the energy amount of the electric appliance 300 necessary for accomplishing the calculation.

The control unit 240 sets the set temperature, the set humidity, and the drive time of the home appliance 300 in accordance with the amount of energy required to reach at least one of the room temperature, the humidity, and the air cleanliness at the present time, The driving time zone of the household appliance can be set using the living pattern data of the resident.

Meanwhile, the control unit 240 accumulates the energy consumption according to the driving schedule of the household appliance 300 for a predetermined period of time through simulation, and compares the energy consumption of all the household appliances located in the room for a predetermined period with the preset energy target have. If the total energy usage is less than the predetermined energy target amount, the control unit 240 controls the home appliances according to the driving schedule, and if the total energy usage is greater than or equal to the predetermined energy usage target, the driving schedule can be changed using the simulation result.

That is, the control unit 240 sets a target amount of energy usage by day or time to be less than or equal to a predetermined energy target amount by using the simulation result, and changes the driving schedule of the home appliance 300 based on the daily or time- .

Here, the control unit 240 can estimate and accumulate the energy usage of various home appliances 300 that are likely to be used in addition to the energy usage of the home appliances 300 according to the driving schedule.

At this time, the control unit 240 can set the energy target amount by using the announced electricity rate and the progressive agent. Herein, the progressive agent represents a charge to which a high unit price is sequentially applied as the usage amount increases.

The control unit 240 can estimate the electricity rate (energy usage) according to the level of pleasure index for the household appliance 300 through Equation (1).

At this time, the pleasure index is an index indicating the degree of proximity of the time zone of the load use or the set temperature to the level desired by the resident.

Here, EnergyCOST electrical charge (energy consumption), C _t is a real time electricity price, P _t ⁱ is nominal power, α i-th consumer electronics pleasure index levels, u _t ⁱ denotes the i-th home appliances t hour operation do.

For example, the control unit 240 can estimate a day's electricity bill calculated by the amount of electric power consumed by all the household appliances I present in the room for 24 hours (T) a day.

In this way, when the estimated energy use amount is compared with the energy target amount and the energy usage amount is larger than the energy target amount, the control unit 240 can set a target amount of energy usage by day or time.

That is, the control unit 240 can change the driving schedule of the home appliance in a condition that the occupant feels comfortable while using the energy within the daily or hourly usage target value.

For example, when the energy usage is excessive in a specific time zone, the controller 240 analyzes the home appliances used in the corresponding time zone, changes the home appliances driving time zone in the previous time zone, To be driven in the next time zone.

On the other hand, the control unit 240 obtains the difference between the outdoor temperature and the indoor temperature at the outgoing time and return time predicted through the occupant's life pattern data, and if the temperature difference is a heat shock or a cold shock, It is possible to control the household appliance 300 in advance so as to have a value within a temperature difference range which does not feel the temperature difference.

If the temperature difference between the indoor and the outdoor is significantly different, the resident may feel discomfort or be shocked by the body due to rapid vasoconstriction and expansion. Therefore, in order to prevent such a phenomenon, the controller 240 controls the indoor temperature Temperature and humidity can be adjusted in advance at the time when residents are expected to enter and leave the room based on data such as humidity, humidity conditions, and the time of the residence of the resident.

More specifically, the control unit 240 adjusts the temperature difference between indoor and outdoor to 10 to 20 [deg.] C or less, which is a temperature difference that does not cause a heat shock at the time of heating, and causes a cold shock It is possible to adjust the temperature difference to 3 to 5 [占 폚] or less.

That is, the control unit 240 can schedule the control of the household appliances 300 in advance by the time necessary for controlling the expected temperature level of the resident in accordance with the outgoing time and the return time of the resident.

Likewise, the smart home energy appliance control apparatus 200 can control the home appliance 300 using the air quality information.

 The air quality information includes at least one of CO2 concentration, fine dust concentration, and VOC (formaldehyde) concentration, and such air quality information is a factor directly related to health. If the concentration of CO2 measured in real time exceeds the health limit of 1200ppm due to concentration of indoor people and CO2 emission during cooking, ventilation through window opening and closing must be performed.

In this case, the smart home energy appliance control apparatus 200 can request an artificial window opening / closing through an alarm warning for the resident.

In the case of fine dust, the aerodynamic diameter is less than 10 μm, which is about 1/7 of the thickness of the hair. In the case of the ultrafine dust, the size of the hair is about 1/30 of the thickness of the hair. There is a difference in the time of falling down in the air depending on the particle size.

Therefore, the control unit 240 schedules the air cleaner to fit within the target category based on the time-consuming floating dust and ultrafine dust.

In addition, the control unit 240 operates the home appliance such as the air cleaner in advance in consideration of the returning time from outside the house to provide the most optimal air cleanliness. The control unit 240 performs control scheduling for the VOC-free air cleaner to measure the concentration of VOC (formaldehyde) as indoor air pollutant in the residential space and to control the target level not affected by the health.

According to the embodiment of the present invention, the indoor environment of the residence space can be automatically controlled through the living pattern of the resident or the environment information of the residence space, so that the convenience of the resident can be increased and the energy use efficiency can be greatly increased.

More particularly, the present invention relates to control of household appliances having the largest variation in energy use according to indoor and outdoor environmental conditions and presence of a resident in the home by using indoor and outdoor environmental conditions, It is possible to improve the feeling of indulgence and the energy use efficiency of the living person by operating the home appliances when returning home from home or going outdoors in the optimum operating condition considering energy efficiency and living health of the living person.

Controlling all devices that can communicate with infrared through the common application of infrared communication method of remote control communication method through the control of smart phone's mobile app and smart control hub device, So that the remote controller can be unified by the integrated control.

While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: indoor sensor 200: smart home energy device control device
210: data collecting unit 220:
230: setting unit 240:
250: Analyzing section 300: Home appliance
400: resident terminal

Claims (8)

Indoor environment data including at least one of room temperature, humidity, and air cleanliness of a resident space measured in real time, and a data collection unit for collecting energy consumption of a plurality of household appliances located in a room of the resident space,
An environment index calculating unit for calculating at least one environmental index from the discomfort index, the heat index number and the corruption index using the indoor environment data,
Setting a target point of room temperature and humidity in the resident space to a value within the predetermined comfortable exponent range using the energy usage amount of the household appliance when the calculated environment index value is out of a predetermined comfort index range, A setting unit for setting a target point of cleanliness, and
And a controller for generating a driving schedule of the home appliance to reach the target point and controlling the home appliance in accordance with the driving schedule using infrared communication,
Wherein,
The energy target amount is set by using the disclosed electricity rate and progressive agent,
Smart home energy device control device that estimates energy usage through the following equation:

Here, EnergyCOST electrical charge (energy consumption), C _t is a real time electricity price, P _t ⁱ is nominal power, α i-th consumer electronics pleasure index levels, u _t ⁱ denotes the i-th home appliances t hour operation do. The method according to claim 1,
Wherein the data collecting unit comprises:
Outdoor environment data including atmospheric temperature, humidity and air cleanliness of the outside of the indoor space, and life pattern data according to the time of going out and returning time of the occupant,
The analyzing unit accumulates and analyzes the indoor environment data, the outdoor environment data, the energy usage amount of the home appliance, and the life pattern data for a predetermined period to set the comfort index range by time, day, quarter, Including smart home energy appliance control devices. The method according to claim 1,
Wherein,
And sets a target point of the indoor temperature, the humidity, or the air cleanliness degree so that the energy usage amount of the household appliances becomes a minimum value within a predetermined comfort index range. The method according to claim 1,
Wherein,
The set temperature, the set humidity, and the driving time of the household appliance corresponding to the amount of energy required to reach at least one of the indoor temperature, the humidity and the air cleanliness at the present time point, And sets a driving time zone of the home electric appliance by using the control unit. 5. The method of claim 4,
Wherein,
Wherein the control unit controls the home appliances according to the driving schedule if the energy usage for the predetermined period is less than the predetermined energy target,
Setting a target amount of energy usage by day or time zone to be less than or equal to a predetermined energy target amount using the simulation result if the energy usage amount during the predetermined period is equal to or greater than a predetermined energy target amount, And changes the driving schedule of the home electric appliance on the basis of the reference value. delete The method according to claim 1,
Wherein,
And a temperature difference between the outdoor temperature and the room temperature at the time of going out and the time of return predicted through the life pattern data of the resident, wherein the temperature difference is a temperature at which the occupant does not feel a heat shock or a cold shock Wherein the controller controls the home appliance to have a value within a range of the difference. A smart home energy appliance control method using a smart home energy appliance control device,
Indoor environment data including at least one of room temperature, humidity, and air cleanliness of a resident space measured in real time; and collecting energy usage amounts of a plurality of home appliances located in a room of the resident space,
Computing at least one environmental index from the discomfort index, the heating index and the corruption index using the indoor environment data;
Setting a target point of room temperature and humidity in the resident space to a value within the predetermined comfortable exponent range using the energy usage amount of the household appliance when the calculated environment index value is out of a predetermined comfort index range, Setting a target point of cleanliness, and
Generating a driving schedule of the home appliance to reach the target point and controlling the home appliance in accordance with the driving schedule using infrared communication,
The step of controlling the household appliances includes:
The energy target amount is set by using the disclosed electricity rate and progressive agent,
A smart home energy device control method that estimates energy usage through the following equation:

Here, EnergyCOST electrical charge (energy consumption), C _t is a real time electricity price, P _t ⁱ is nominal power, α i-th consumer electronics pleasure index levels, u _t ⁱ denotes the i-th home appliances t hour operation do.

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