KR102818803B1 - Method for controlling indoor cleaning ventilation system using human body detection technology based on environmental sensing data - Google Patents

Abstract

The present invention relates to an indoor cleaning ventilation system and a control method using a human body detection technology based on environmental sensing data, and more specifically, to an indoor cleaning ventilation system for controlling a ventilation air volume by controlling a supply fan and an exhaust fan, the indoor cleaning ventilation system comprising: a sensing unit for measuring an indoor carbon dioxide concentration; a data processing unit for determining a required ventilation amount by calculating the number of occupants in an indoor space based on the measured data of the sensing unit; and a control unit for controlling the supply fan and the exhaust fan based on the required ventilation amount.

Description

{Method for controlling indoor cleaning ventilation system using human body detection technology based on environmental sensing data}

The present invention relates to an indoor cleaning ventilation system and control method using human body detection technology based on environmental sensing data.

In indoor spaces such as school classrooms, conference rooms, and indoor sports fields, where population density is concentrated at certain times or where human activity is high and indoor pollutants generated from the human body are abundant, rapid increases in carbon dioxide concentration can cause health risks and reduced productivity for people staying indoors.

In order to control the indoor environment in construction, the standard value for each hazardous substance is determined and environmental control is implemented through mechanical equipment systems to ensure that the level of each hazardous substance is below the standard value. However, when a sudden occurrence of hazardous substances occurs, the mechanical equipment system installed according to the standard value cannot quickly respond to changes in indoor air quality.

The standard for carbon dioxide concentration is set by the Building Act for the appropriate concentration for each multi-use facility building, and when calculating the required ventilation amount for each building use, the required ventilation amount is calculated based on the number of occupants. However, the ventilation amount calculated by the conventional method cannot automatically calculate the required ventilation amount according to the actual usage environment such as a crowded school or conference room, and cannot provide the required ventilation amount per person. As a result, it is impossible to maintain the indoor carbon dioxide level below the legal standard by bringing in and discharging indoor and outdoor air.

In addition, when the outdoor fine dust concentration is higher or lower than the indoor fine dust concentration, it is necessary to clean the polluted indoor air by operating the device to circulate the exhausted air through the filter device installed in the device and then reintroduce it.

Technology exists to measure and monitor carbon dioxide emissions in real time in indoor spaces with many people, such as high-density multi-use facilities or public transportation such as buses, subways, and trains. However, technology for wirelessly controlling ventilation, cooling, heating, and air purifiers is still in the development stage.

Republic of Korea Patent No. 10-2582636 Republic of Korea Patent No. 10-1343401 Republic of Korea Patent No. 10-1013372

Accordingly, the present invention has been made to solve the above-mentioned conventional problems, and according to an embodiment of the present invention, a sensor is used to measure the carbon dioxide concentration of an outdoor air intake portion of an indoor cleaning ventilation system indoors and the carbon dioxide concentration of exhaust air, and the concentration values measured by a single or multiple carbon dioxide sensors are used to estimate the number of people and control the indoor cleaning ventilation system device, thereby providing an indoor human body detection and indoor cleaning ventilation system and a control method using a carbon dioxide gas sensor.

According to an embodiment of the present invention, in addition to the existing camera and PID sensor methods for human body detection, the number of human occupants in an indoor clean ventilation system can be calculated using a CO2 sensor installed in an air supply and exhaust section, and the indoor clean ventilation system of a space can be operated and managed using only _CO2 concentration in a place where operation and management by a manager are difficult, and an indoor clean ventilation system and control method using human body detection technology based on environmental sensing data are provided.

And according to an embodiment of the present invention, air quality can be managed by applying air care products such as indoor air purifiers/air conditioners and utilizing IoT-linked convergence products, thereby bringing about health and productivity improvement and energy saving effects, and by applying it to an indoor space indoor air quality measuring sensor, it can be expanded to a composite air environment pollutant sensor, thereby providing an indoor cleaning ventilation system and control method using human detection technology based on environmental sensing data that can be expanded to develop a sustainable measurement-control system.

In addition, according to an embodiment of the present invention, the purpose is to provide an indoor cleaning ventilation system and control method using human detection technology based on environmental sensing data, which can provide information on air cleaning hazards and improve indoor air quality through linkage with air cleaning products by measuring carbon dioxide concentration in real time according to harmful human density by installing it in living spaces of vulnerable groups such as semi-basements/old buildings/senior care facilities/stations and subways.

Meanwhile, the technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by a person having ordinary knowledge in the technical field to which the present invention belongs from the description below.

The first object of the present invention can be achieved by an indoor cleaning ventilation system using human detection technology based on environmental sensing data for controlling a ventilation air volume by controlling a supply fan and an exhaust fan, characterized in that it includes: a sensing unit for measuring indoor carbon dioxide concentration; a data processing unit for calculating the number of occupants in an indoor space based on the measurement data of the sensing unit and determining a required ventilation volume; and a control unit for controlling the supply fan and the exhaust fan based on the required ventilation volume.

And the sensing unit may be characterized by including a first sensing unit that measures the supply air volume and the CO2 concentration of the outside air being supplied; and a second sensing unit that measures the exhaust air volume and the CO2 concentration of the indoor air being exhausted.

In addition, the data processing unit may be characterized by including a preprocessing unit that performs preprocessing on the measurement data according to the elapsed time t; a data analysis unit that analyzes changes in indoor carbon dioxide concentration; an occupant counting unit that calculates the number of occupants; and a required ventilation amount calculation unit that calculates the required ventilation amount according to the number of occupants.

And the above occupant counting unit may be characterized by counting the number of occupants in the indoor space based on the volume of the indoor space, the change in indoor carbon dioxide concentration over time t, the amount of CO2 generated by respiration per person, the outdoor air CO2 concentration, the indoor air CO2 concentration, the supply air volume, and the exhaust air volume.

In addition, the above-mentioned occupancy counting unit may be characterized by calculating the occupancy count using the following mathematical formula 4.

[Mathematical Formula 4]

In the above mathematical expression 4, V is the volume of the measurement space, dC _ea /dt is the change in indoor carbon dioxide concentration over the elapsed time, N is the number of occupants, VCO ₂ is the amount of CO ₂ generated per person by respiration, Cout is the outdoor carbon dioxide concentration, Cea is the indoor carbon dioxide concentration, and Q is the supply air volume and exhaust air volume.

In addition, the present invention may further include a database storing data on _CO2 emissions per person according to the age, gender, and activity level, and may be characterized in that the _VCO2 is calculated based on the data stored in the database using the input age, gender, and activity level as input variables.

And it can be characterized by calculating the VCO ₂ according to the following mathematical formulas 2 and 3 based on the input age, gender, and activity level.

[Mathematical formula 2]

Male: VCO2 = 0.237 MET - 0.001 Age - 0.061 (R ² = 0.969)

[Mathematical Formula 3]

Female: VCO2 = 0.230 MET - 0.001 Age - 0.046 ( ^R2 = 0.969)

MET is the amount of activity according to human activity, Age is age, and ^R2 is the correlation coefficient among the amount of activity, age, and VCO2 production.

In addition, when there are no input variables of age and activity level, the VCO ₂ is calculated as 0.26 to 0.30 L/min for men and 0.32 to 0.37 L/min for women, and when there are no input variables of age, activity level, and gender, the VCO ₂ is calculated as 0.24 to 0.28 L/min.

And it includes a database in which the required ventilation amount per person according to the building information, space information, and type are stored for each facility; and the required ventilation amount calculation unit may be characterized by calculating the required ventilation amount based on the required ventilation amount per person according to the facility stored in the database and the number of occupants.

In addition, the control unit may be characterized by controlling the supply fan and the exhaust fan to adjust the wind volume based on the current ventilation amount and the calculated required ventilation amount.

The second object of the present invention is a control method for an indoor cleaning ventilation system according to the first object mentioned above, characterized in that it includes a step in which a first sensing unit measures the supply air volume and the CO2 concentration of the outdoor air being supplied, and a second sensing unit measures the exhaust air volume and the CO2 concentration of the exhausted indoor air in real time; a step in which a preprocessing unit performs preprocessing on the measured data according to the elapsed time t, and a data analysis unit analyzes the change in the indoor carbon dioxide concentration; a step in which an occupant counting unit calculates the number of occupants, and a required ventilation amount counting unit calculates the required ventilation amount according to the number of occupants; and a step in which a control unit controls a supply fan and an exhaust fan based on the current ventilation amount and the calculated required ventilation amount to adjust the wind volume. The method can be achieved by using human detection technology based on environmental sensing data.

And in the step of calculating the number of occupants, the number of occupants calculating unit may be characterized by calculating the number of occupants by the following mathematical expression 4.

[Mathematical Formula 4]

In the above mathematical expression 4, V is the volume of the measurement space, dC _ea /dt is the change in indoor carbon dioxide concentration over the elapsed time, N is the number of occupants, VCO ₂ is the amount of CO ₂ generated per person by respiration, Cout is the outdoor carbon dioxide concentration, Cea is the indoor carbon dioxide concentration, and Q is the supply air volume and exhaust air volume.

And the method may further include a step of storing data on _CO2 emissions per person according to the age, gender, and activity level in a database; and calculating the _VCO2 based on the data stored in the database using the input age, gender, and activity level as input variables, or calculating the _VCO2 according to the following mathematical formulas 2 and 3 according to the input age, gender, and activity level.

[Mathematical formula 2]

Male: VCO2 = 0.237 MET - 0.001 Age - 0.061 (R ² = 0.969)

[Mathematical Formula 3]

Female: VCO2 = 0.230 MET - 0.001 Age - 0.046 ( ^R2 = 0.969)

MET is the amount of activity according to human activity, Age is age, and ^R2 is the correlation coefficient among the amount of activity, age, and VCO2 production.

And in the absence of input variables of age and activity level, the _VCO2 is calculated as 0.26 to 0.30 L/min for men and 0.32 to 0.37 L/min for women, and in the absence of input variables of age, activity level, and gender, the _VCO2 is calculated as 0.24 to 0.28 L/min.

In addition, the method may further include a step of storing the required ventilation amount per person according to the facility according to the building information, space information, and type in the database; and in the step of calculating the required ventilation amount, the control unit may calculate the required ventilation amount based on the current ventilation amount and the calculated required ventilation amount, and the required ventilation amount calculation unit may calculate the required ventilation amount based on the required ventilation amount per person according to the facility stored in the database and the number of occupants.

According to an indoor cleaning ventilation system and a control method using human detection technology based on environmental sensing data according to an embodiment of the present invention, a sensor is used to measure the carbon dioxide concentration of an outdoor air intake portion of an indoor cleaning ventilation system and the carbon dioxide concentration of exhaust air, and the concentration values measured by a single or multiple carbon dioxide sensors are used to estimate the number of human bodies and control an indoor cleaning ventilation system device.

According to an indoor clean ventilation system and a control method using human detection technology based on environmental sensing data according to an embodiment of the present invention, in addition to the existing camera and PID sensor methods for human detection, the number of human occupants can be calculated using a CO2 sensor installed in an air supply and exhaust section of an indoor clean ventilation system, and in places where operation and management by a manager are difficult, the operation and management of an indoor clean ventilation system of a space can be achieved using only the _CO2 concentration.

And according to the indoor cleaning ventilation system and control method using human detection technology based on environmental sensing data according to an embodiment of the present invention, air quality can be managed by applying air care products such as indoor air purifiers/air conditioners and utilizing IoT-linked convergence products, thereby bringing about improved health and productivity and energy-saving effects, and by applying it to an indoor space indoor air quality measuring sensor, it can be expanded to a composite air environment pollutant sensor, so that it has the advantage of being expandable to the development of a sustainable measurement-control system.

In addition, according to the indoor cleaning ventilation system and control method using human detection technology based on environmental sensing data according to an embodiment of the present invention, it can be installed in living spaces of vulnerable groups such as semi-basements/old buildings/senior citizens' facilities/stations and subways, and has the effect of providing information on the harmfulness of air cleaning through real-time measurement of carbon dioxide concentration according to harmful human density, and improving indoor air quality through linkage with air cleaning products.

Meanwhile, the effects obtainable from the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by a person having ordinary skill in the art to which the present invention belongs from the description below.

The following drawings attached to this specification illustrate preferred embodiments of the present invention and, together with the detailed description of the invention, serve to further understand the technical idea of the present invention; therefore, the present invention should not be interpreted as being limited to matters described in such drawings.
Figure 1 is a configuration diagram of an indoor cleaning ventilation system using human body detection technology based on environmental sensing data according to an embodiment of the present invention.
Figure 2 is a flow chart of an indoor cleaning ventilation system control method using human body detection technology based on environmental sensing data according to an embodiment of the present invention.
Figure 3 is a schematic diagram of an indoor cleaning ventilation system using human body detection technology based on environmental sensing data according to an embodiment of the present invention.
Figure 4 is a block diagram of an indoor cleaning ventilation system control using human body detection technology based on environmental sensing data according to an embodiment of the present invention.
Figure 5 is a flow chart of a data processing unit according to an embodiment of the present invention.
Figure 6 is a schematic diagram of an indoor space having an exhaust section and an air supply section according to an embodiment of the present invention.
Figure 7 is a table of carbon dioxide emissions per person according to gender, age, and human activity level.
Figure 8 shows a table of required indoor ventilation according to building type.

The above objects, other objects, features and advantages of the present invention will be easily understood through the following preferred embodiments related to the attached drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments introduced herein are provided so that the disclosed contents can be thorough and complete and so that the spirit of the present invention can be sufficiently conveyed to those skilled in the art.

In this specification, when it is mentioned that a component is on another component, it means that it can be formed directly on the other component, or a third component can be interposed between them. Also, in the drawings, the thickness of the components is exaggerated for the effective explanation of the technical contents.

The embodiments described herein will be described with reference to cross-sectional and/or plan views, which are ideal examples of the present invention. In the drawings, the thicknesses of the films and regions are exaggerated for effective explanation of the technical contents. Accordingly, the shapes of the examples may be modified due to manufacturing techniques and/or tolerances. Accordingly, the embodiments of the present invention are not limited to the specific shapes shown, but also include changes in shapes produced according to the manufacturing process. For example, the regions shown at right angles may be rounded or have a shape with a predetermined curvature. Accordingly, the regions illustrated in the drawings have properties, and the shapes of the regions illustrated in the drawings are intended to illustrate specific shapes of regions of the device and are not intended to limit the scope of the invention. Although the terms first, second, etc. have been used to describe various components in various embodiments of the present invention, these components should not be limited by these terms. These terms are only used to distinguish one component from another. The embodiments described and illustrated herein also include complementary embodiments thereof.

The terminology used herein is for the purpose of describing embodiments only and is not intended to limit the invention. In this specification, the singular also includes the plural unless specifically stated otherwise. The words "comprises" and/or "comprising" as used herein do not exclude the presence or addition of one or more other elements mentioned.

In describing the specific embodiments below, various specific contents have been written to explain the invention more specifically and to help understanding. However, readers who have knowledge of this field enough to understand the present invention can recognize that it can be used without these various specific contents. In some cases, it is mentioned in advance that parts that are commonly known but not greatly related to the invention are not described in order to prevent confusion without any reason in describing the present invention.

Below, the configuration, function, and control method of an indoor purification ventilation system using human body detection technology based on environmental sensing data according to an embodiment of the present invention will be described.

FIG. 1 is a diagram illustrating a configuration of an indoor cleaning ventilation system using a human body detection technology based on environmental sensing data according to an embodiment of the present invention. FIG. 2 is a flowchart illustrating a method for controlling an indoor cleaning ventilation system using a human body detection technology based on environmental sensing data according to an embodiment of the present invention.

In addition, Fig. 3 is a schematic diagram of an indoor cleaning ventilation system using a human body detection technology based on environmental sensing data according to an embodiment of the present invention. Fig. 4 is a block diagram of an indoor cleaning ventilation system control using a human body detection technology based on environmental sensing data according to an embodiment of the present invention.

The sensing unit (10) is configured to measure the indoor carbon dioxide concentration in real time. The data processing unit (20) is configured to calculate the number of occupants in the indoor space based on the measurement data of the sensing unit (10) and determine the required ventilation amount.

And the indoor control unit (30) controls the supply fan (4) and the exhaust fan (5) based on the required ventilation amount.

That is, in an embodiment of the present invention, the number of occupants is detected using a carbon dioxide sensor, and the supply and exhaust fans are adjusted according to an increase or decrease in the number of occupants to create a comfortable indoor environment.

In general, the data processing unit (20) of the indoor cleaning ventilation system performs preprocessing of the continuous measurement data according to the elapsed time t to analyze the change in indoor carbon dioxide concentration and calculate the number of occupants. The required ventilation amount according to the number of people located in the indoor space (1) is calculated and the wind speed of the supply fan and the exhaust fan is adjusted. The environmental information, equipment operation information, and energy usage amount are transmitted to the central control unit (40, central management unit) through one of the wireless and wired communication methods to provide environmental maintenance of the space, analysis of energy saving amount, and carbon emission reduction report, etc.

Fig. 5 is a flow chart of a data processing unit according to an embodiment of the present invention. Fig. 6 is a schematic diagram of an indoor space having an exhaust section and an air supply section according to an embodiment of the present invention.

As shown in Fig. 6, the sensing unit (10) may include a first sensing unit (11) and a second sensing unit (12). The first sensing unit (11) measures the amount of supplied air and the CO2 concentration of the incoming outdoor air in real time. On the other hand, the second sensing unit (12) measures the amount of exhaust air and the CO2 concentration of the exhausted indoor air (S2).

And the data processing unit (20) may include a preprocessing unit (21), a data analysis unit (22), an occupant counting unit (23), and a required ventilation amount calculating unit (24). The preprocessing unit (21) performs preprocessing on the measured data according to the elapsed time t (S3), and the data analysis unit (22) analyzes the change in indoor carbon dioxide concentration (S4).

And the number of occupants is calculated through the occupant counting unit (23) (S5), and the required ventilation amount calculation unit (24) calculates the required ventilation amount according to the number of occupants (S6).

And the control unit (30) controls the supply fan and exhaust fan based on the current ventilation amount and the calculated required ventilation amount to adjust the wind volume (S7).

Specifically, the occupant count calculation unit (23) calculates the number of occupants in an indoor space based on the volume of the indoor space stored in the database (3), the change in indoor carbon dioxide concentration over time t, the amount of CO2 generated by respiration per person, the outdoor air CO2 concentration, the indoor air CO2 concentration, the supply air volume, and the exhaust air volume.

The method of calculating the required ventilation volume for indoor spaces uses a theoretical equation that establishes the law of conservation of mass by the material balance equation. It achieves balance for the air volume accumulated indoors over time, the air volume generated from the human body, the air volume brought in from the outside through ventilation, and the air volume discharged to the outside through ventilation.

[Mathematical formula 1]

Here, V is the volume of the measurement space (m3), dC _ea /dt is the change in indoor carbon dioxide concentration over the elapsed time, N is the number of occupants, VCO ₂ is the amount of CO ₂ produced per person by respiration, Cout is the outdoor carbon dioxide concentration, Cea is the indoor carbon dioxide concentration, and Q is the supply air volume and exhaust air volume.

The number of occupants (23) calculates the number of occupants by the following mathematical expression 4, which is a summary of mathematical expression 1.

[Mathematical Formula 4]

In an embodiment of the present invention, the amount of carbon dioxide produced per person ( _VCO2 ) by the human body can utilize the amount of carbon dioxide produced by respiration of the human body according to gender and activity level suggested by Yang, Wang, et.al (2020) as basic data.

Figure 7 shows a table of carbon dioxide emissions per person according to gender, age, and human activity level. Carbon dioxide emissions from human respiration according to age, gender, and activity level use the conditions according to Figure 7.

That is, data on _CO2 emissions per person according to age, gender, and activity level are stored in the database (3), and the _VCO2 can be calculated based on the data stored in the database (3) using the entered age, gender, and activity level as input variables.

In addition, in an embodiment of the present invention, the carbon dioxide emission amount of Fig. 7 can be used through the input age and gender and activity level input values of the database (3) mentioned above, or the method of selecting and applying Regression models can be applied.

Based on the entered age, gender, and activity level, the above VCO ₂ is calculated using the following mathematical formulas 2 and 3.

[Mathematical formula 2]

Male: VCO2 = 0.237 MET - 0.001 Age - 0.061 (R ² = 0.969)

[Mathematical Formula 3]

Female: VCO2 = 0.230 MET - 0.001 Age - 0.046 ( ^R2 = 0.969)

MET is the amount of activity according to human activity, Age is age, and ^R2 is the correlation coefficient among the amount of activity, age, and VCO2 production.

If there are no age or activity level input variables, the _VCO2 is calculated as 0.26 to 0.30 L/min for men and 0.32 to 0.37 L/min for women.

If there are no input variables for age, activity level, or gender, the above _VCO2 is estimated as 0.24 to 0.28 L/min (activity level equivalent to sitting and typing, writing, reading, or remaining quiet).

Once the number of occupants is selected, the required ventilation amount calculation unit (24) calculates the required ventilation amount according to the number of occupants.

In the database (3), data on the ventilation volume required per person according to the type of facility, such as building information, space information, etc., can be stored. Figure 8 shows a table of indoor ventilation volume required according to building type.

Therefore, the required ventilation amount calculation unit (24) calculates the required ventilation amount based on the required ventilation amount per person according to the facility stored in the database (3) and the calculated number of occupants.

And the control unit (30) controls the supply fan and exhaust fan based on the current ventilation amount and the calculated required ventilation amount to adjust the wind volume.

In addition, the devices and methods described above are not limited to the configurations and methods of the embodiments described above, and the embodiments may be configured by selectively combining all or part of the embodiments so that various modifications can be made.

1:Indoor space
2:Input section
3:Database
4: Urgent fan
5: Exhaust fan
10: Measurement section
11: 1st sensing section
12:Second sensing section
20: Data Processing Section
21: Preprocessing section
22: Data Analysis Department
23: Calculation of the number of people in the room
24: Calculation of required ventilation volume
30:Indoor control unit
40:Central Management Department
100: Indoor purification ventilation system using human detection technology based on environmental sensing data

Claims (15)

As an indoor cleaning ventilation system for controlling the ventilation air volume by controlling the supply fan and exhaust fan,
It includes a sensing unit that measures indoor carbon dioxide concentration; a data processing unit that calculates the number of occupants in an indoor space based on the measurement data of the sensing unit and determines the required ventilation amount; and a control unit that controls the supply fan and the exhaust fan based on the required ventilation amount.
The above sensing unit includes a first sensing unit that measures the supply air volume and the CO2 concentration of the incoming outdoor air; and a second sensing unit that measures the exhaust air volume and the CO2 concentration of the exhausted indoor air.
The above data processing unit includes a preprocessing unit that performs preprocessing on the measurement data according to the elapsed time t; a data analysis unit that analyzes the change in indoor carbon dioxide concentration; an occupant counting unit that calculates the number of occupants; and a required ventilation amount calculating unit that calculates the required ventilation amount according to the number of occupants.
The above occupant counting unit calculates the number of occupants in the indoor space based on the volume of the indoor space, the change in indoor carbon dioxide concentration over time t, the amount of CO2 generated by respiration per person, the outdoor air CO2 concentration, the indoor air CO2 concentration, the supply air volume, and the exhaust air volume.
An indoor cleaning ventilation system using human detection technology based on environmental sensing data, comprising: a database storing required ventilation volume per person by facility according to building information, space information, and type; wherein the required ventilation volume calculation unit calculates the required ventilation volume based on required ventilation volume per person by facility stored in the database and the number of occupants.
delete delete delete In paragraph 1,
The above occupant counting unit is an indoor cleaning ventilation system using human body detection technology based on environmental sensing data, characterized in that it calculates the occupant count by the following mathematical formula 4:
[Mathematical formula 4]

In the above mathematical expression 4, V is the volume of the measurement space, dC _ea /dt is the change in indoor carbon dioxide concentration over the elapsed time, N is the number of occupants, VCO ₂ is the amount of CO ₂ generated per person by respiration, Cout is the outdoor carbon dioxide concentration, Cea is the indoor carbon dioxide concentration, and Q is the supply air volume and exhaust air volume.
In paragraph 5,
A database containing data on _CO2 emissions per person by age, gender and activity level;
An indoor purification ventilation system using human detection technology based on environmental sensing data, characterized in that the VCO ₂ is calculated based on data stored in the database using input age, gender, and activity level as input variables.
In paragraph 5,
An indoor purification ventilation system using human body detection technology based on environmental sensing data, characterized in that the VCO ₂ is calculated according to the following mathematical formulas 2 and 3 based on the input age, gender, and activity level:
[Mathematical formula 2]
Male: VCO2 = 0.237 MET - 0.001 Age - 0.061 (R ² = 0.969)
[Mathematical Formula 3]
Female: VCO2 = 0.230 MET - 0.001 Age - 0.046 ( ^R2 = 0.969)
MET is the amount of activity according to human activity, Age is age, and ^R2 is the correlation coefficient among the amount of activity, age, and VCO2 production.

In paragraph 5,
If there are no age or activity level input variables, the _VCO2 is calculated as 0.26 to 0.30 L/min for men and 0.32 to 0.37 L/min for women.
An indoor purification ventilation system using human detection technology based on environmental sensing data, characterized in that the _VCO2 is calculated as 0.24 to 0.28 L/min when there are no input variables of age, activity level, and gender.
delete In paragraph 1,
An indoor cleaning ventilation system using human detection technology based on environmental sensing data, characterized in that the control unit controls the supply fan and exhaust fan to adjust the wind volume based on the current ventilation volume and the calculated required ventilation volume.
A control method for an indoor cleaning ventilation system according to Article 1,
A step in which a first sensing unit measures the supply air volume and the CO2 concentration of the incoming outdoor air, and a second sensing unit measures the exhaust air volume and the CO2 concentration of the exhausted indoor air in real time;
A step in which the preprocessing unit performs preprocessing on the measurement data according to the elapsed time t, and the data analysis unit analyzes the change in indoor carbon dioxide concentration;
A step in which the occupancy calculation unit calculates the number of occupants, and the required ventilation amount calculation unit calculates the required ventilation amount according to the number of occupants;
A method for controlling an indoor cleaning ventilation system using human detection technology based on environmental sensing data, characterized in that the control unit includes a step of controlling a supply fan and an exhaust fan to adjust the wind volume based on the current ventilation volume and the calculated required ventilation volume.
In Article 11,
A method for controlling an indoor cleaning ventilation system using human detection technology based on environmental sensing data, characterized in that in the step of calculating the number of occupants, the number of occupants calculating unit calculates the number of occupants by the following mathematical formula 4:
[Mathematical formula 4]

In the above mathematical expression 4, V is the volume of the measurement space, dC _ea /dt is the change in indoor carbon dioxide concentration over the elapsed time, N is the number of occupants, VCO ₂ is the amount of CO ₂ generated per person by respiration, Cout is the outdoor carbon dioxide concentration, Cea is the indoor carbon dioxide concentration, and Q is the supply air volume and exhaust air volume.
In Article 12,
A step of storing data on _CO2 emissions per person according to age, gender, and activity level in a database; further comprising calculating the _VCO2 based on the data stored in the database using the entered age, gender, and activity level as input variables, or
A control method for an indoor cleaning ventilation system using human body detection technology based on environmental sensing data, characterized in that the VCO ₂ is calculated according to the following mathematical formulas 2 and 3 based on the input age, gender, and activity level:
[Mathematical formula 2]
Male: VCO2 = 0.237 MET - 0.001 Age - 0.061 (R ² = 0.969)
[Mathematical Formula 3]
Female: VCO2 = 0.230 MET - 0.001 Age - 0.046 ( ^R2 = 0.969)
MET is the amount of activity according to human activity, Age is age, and ^R2 is the correlation coefficient among the amount of activity, age, and VCO2 production.
In Article 13,
If there are no age or activity level input variables, the _VCO2 is calculated as 0.26 to 0.30 L/min for men and 0.32 to 0.37 L/min for women.
A control method for an indoor cleaning ventilation system using human body detection technology based on environmental sensing data, characterized in that the VCO ₂ is calculated as 0.24 to 0.28 L/min when there are no input variables of age, activity level, and gender.
In Article 14,
A step in which building information, space information, and ventilation amount required per person according to type of facility are stored in a database; including;
A method for controlling an indoor cleaning ventilation system using human detection technology based on environmental sensing data, characterized in that in the step of calculating the required ventilation amount, the control unit calculates the required ventilation amount based on the current ventilation amount and the calculated required ventilation amount, and the required ventilation amount calculation unit calculates the required ventilation amount based on the required ventilation amount per person according to the facility stored in the database and the number of occupants.

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