KR20250054665A - Artificial Intelligence based air quality environmental control system - Google Patents

Abstract

The present invention relates to an AI air quality environment control system, and according to the present invention, a VOC sensor (123a) for detecting the concentration of volatile organic compounds, a carbon dioxide sensor (123b) for detecting the concentration of carbon dioxide in a household, a fine dust sensor (123c) for detecting fine dust in a household, a heat exchanger (133a) for ventilating air inside a household and outside air, an air purifier (133d) provided in a household, and sensor detection values (VOC sensor measurement values, carbon dioxide sensor measurement values, and fine dust sensor measurement values) are received from the VOC sensor (123a), the carbon dioxide sensor (123b), and the fine dust sensor (123c), and the current sensor detection values received from the VOC sensor (123a), the carbon dioxide sensor (123b), and the fine dust sensor (123c) are compared with a reference VOC value, a reference carbon dioxide value, and a reference fine dust value in an internal storage (117), and then, according to the comparison values, It is configured to include a generation integrated controller (110) that outputs an operation control signal to control the operation of a heat exchanger (133a) and an air purifier (133d) and outputs the signal to a heat exchanger (133a) and an air purifier (133d), and according to this, there is an advantage in that the control of air quality such as VOC, fine dust, and carbon dioxide can be conveniently performed in an integrated manner by a single integrated controller.

Description

AI air quality environmental control system {Artificial Intelligence based air quality environmental control system}

The present invention relates to an apartment management system, and more particularly, to an AI air quality environment control system suitable for conveniently and comprehensively controlling air quality such as VOC, fine dust, and carbon dioxide with a single integrated controller.

In general, a smart home system refers to a technology that can monitor and control everything in various fields, including home appliances such as TVs, air conditioners, and refrigerators, energy consumption devices such as water, electricity, and heating and cooling, and security devices such as door locks and surveillance cameras, by connecting them to a communication network. It is a type of system that can be automatically or remotely adjusted according to the user's characteristics.

These systems are based on the promotion of a human-centered living environment that allows for convenient and comfortable daily life, and in response to the desire for convenience in life, a home network has become possible between home appliances installed indoors, such as lighting devices, energy devices, electrical devices, security devices, and gas devices, and home automation has become possible, which allows these home appliances to be controlled and managed in an integrated manner through a single device.

However, current general smart home technology only performs functions such as turning indoor lighting on/off and gas locks, and technology for energy saving by linking with the outside air has not yet been developed.

In addition, air quality control and heating/cooling technologies that take into account the comfort of residents living in indoor spaces have not been disclosed, and thus the need for them is emerging.

Document 1: Patent Publication No. 10-2186089 (Publication Date: 2020.12.04)

The present invention was created to solve the problems of the above-mentioned prior art, and the purpose of the AI air quality environment control system or the AI air quality environment control-based apartment management system according to the present invention is,

First, it enables convenient and integrated control of air quality such as VOC, fine dust, and carbon dioxide with a single integrated controller.

Second, by setting the priority of control of detection values (air quality values) measured from multiple air quality sensors and controlling air quality based on this, efficient and energy-saving air quality control can be performed.

Third, based on AI, it provides optimized air quality tailored to the lifestyle of residents (occupants) and provides a living environment accordingly.

Fourth, by performing temperature and humidity optimized heating and cooling operation based on only four temperature and humidity reference values, it is possible to save heating and cooling energy compared to the conventional technology that simply performs heating and cooling operation based on a single temperature and humidity value.

Fifth, the temperature and humidity values that residents feel most comfortable are set based on experimental data, and the temperature and humidity optimized heating and cooling operation zone is set based on the temperature and humidity values based on the experimental data, and the heating and cooling equipment is operated so that the temperature and humidity values are maintained only within this temperature and humidity optimized heating and cooling operation zone, thereby satisfying the comfort of residents while saving heating and cooling energy at the same time.

Sixth, by allowing ventilation and heating and cooling to be performed based on the analysis of the ventilation and heating and cooling patterns of residents, depending on the presence and number of residents in the apartment complex, convenience of living can be increased while saving energy.

Seventh, in the case of noise between floors in an apartment complex, it is possible to accurately determine which household it originated from.

Eighth, in the case of noise between floors in an apartment complex, the household where the noise is generated should be identified and all surrounding households should be notified, thereby relieving the vague sense of anxiety felt by the households surrounding the household where the noise is generated, while also fulfilling the right to know about the source of the noise.

Ninth, the households that are the source of noise between floors in apartment complexes, that is, the households that generate noise between floors, should be made aware of the level of noise they have generated, thereby allowing them to refrain from generating noise between floors.

Tenth, by quickly informing both the household generating the inter-floor noise and the surrounding households of the inter-floor noise assessment information and the generation household information through a mobile terminal, anxiety caused by inter-floor noise can be quickly relieved and the expansion of inter-floor noise can be prevented at an early stage.

Eleventh, the purpose is to provide an AI air quality environment control system or an AI air quality environment control-based apartment management system suitable for preventing fire accidents occurring in outdoor units of air conditioning rooms in apartment complexes.

In order to achieve the above purpose, the AI air quality environment control system of the present invention comprises: a VOC sensor installed in each household of an apartment complex and detecting the concentration of volatile organic compounds (VOCs, hereinafter simply referred to as 'VOC') of the household; a carbon dioxide sensor installed in each household of the apartment complex and detecting the concentration of carbon dioxide of the household; a fine dust sensor installed in each household of the apartment complex and detecting fine dust of the household; a heat exchanger installed in each household of the apartment complex and ventilating the air inside the household and the outside air; an air purifier installed in each household of the apartment complex and forcibly sucking in the air inside the household, filtering it with an internal filter, and then discharging the purified air; a reference VOC value, a reference carbon dioxide value, and a reference fine dust value are stored in an internal storage unit installed in each household of the apartment complex, and receives sensor detection values (VOC sensor measurement values, carbon dioxide sensor measurement values, and fine dust sensor measurement values) from the VOC sensor, the carbon dioxide sensor, and the fine dust sensor, and detects the VOC sensor, the carbon dioxide sensor, and the fine dust sensor. It is characterized by comprising a generation integrated controller that compares the current sensor detection value received from the sensor with the reference VOC value, the reference carbon dioxide value, and the reference particulate matter value stored in the internal storage, and then outputs an operation control signal to control the operation of the heat exchanger and the air purifier according to the comparison value.

The AI air quality environment control system or the AI air quality environment control-based apartment management system according to the present invention having the above configuration has the following effects.

First, it has the effect of allowing convenient and integrated control of air quality such as VOC, fine dust, and carbon dioxide with a single integrated controller.

Second, there is an effect of being able to perform efficient and energy-saving air quality control by setting priorities for control of detection values (air quality values) measured from multiple air quality sensors and controlling air quality based on these.

Third, it has the effect of providing optimized air quality tailored to the lifestyle patterns of residents (occupants) based on AI and also providing a living environment accordingly.

Fourth, by performing temperature and humidity optimized heating and cooling operation based on only four temperature and humidity reference values, it has the effect of saving heating and cooling energy compared to the conventional technology that simply performs heating and cooling operation based on a single temperature and humidity value.

Fifth, by setting the temperature and humidity values that residents find most comfortable based on experimental data, setting the temperature and humidity optimized heating and cooling operation zone based on the temperature and humidity values based on the experimental data, and operating the heating and cooling device so that the temperature and humidity values are maintained only within the temperature and humidity optimized heating and cooling operation zone, it is possible to satisfy the comfort of residents while saving heating and cooling energy at the same time.

Sixth, depending on the presence and number of residents in the apartment complex, ventilation and heating/cooling can be performed based on the analysis of the ventilation and heating/cooling lifestyle patterns of the residents.

Seventh, when noise between floors occurs in an apartment complex, it has the effect of being able to accurately determine which household it originated from.

Eighth, in the case of noise between floors in an apartment complex, the household where the noise is generated can be identified and notified to all surrounding households, thereby relieving the vague sense of anxiety felt by the households surrounding the household where the noise is generated, while also satisfying the right to know about the source of the noise.

Ninth, it has the effect of allowing the households that are the source of inter-floor noise in apartment complexes, that is, the households that generate inter-floor noise, to recognize the level of inter-floor noise they have generated, thereby restraining the generation of inter-floor noise.

Tenth, by quickly providing information on the judgment of the noise and the generation of the noise to both the household generating the noise and the surrounding households in an apartment complex via a mobile terminal, it is possible to quickly relieve anxiety caused by the noise and also prevent the spread of the noise in the early stages.

Eleventh, it has the effect of preventing fire accidents occurring in outdoor units of air-conditioning rooms in apartment complexes.

Figure 1 is a block diagram of an AI air quality environment control system according to one embodiment of the present invention.
Figure 2 is a detailed block diagram of the generation integrated controller (110) in Figure 1.
FIG. 3 is a flow chart of an air quality control operation in an AI air quality environment control system according to one embodiment of the present invention.
Figure 4 is a flow chart of cooling and heating operations in an AI air quality environment control system according to one embodiment of the present invention.
FIG. 5 is a conceptual diagram of an optimized temperature and humidity reference value and a temperature and humidity optimized heating and cooling operation zone (Za) in an AI air quality environment control system according to one embodiment of the present invention.
FIG. 6 is a conceptual diagram of the configuration of an outdoor unit (132a) and a louver (151) installed in an air conditioning room (Ra) in an apartment management system according to one embodiment of the present invention.

The following is a detailed description of a preferred embodiment of the AI air quality environment control system or the AI air quality environment control-based apartment management system according to the present invention with reference to the attached drawings.

The AI air quality environmental control system of the present invention is an apartment housing management system capable of AI air quality environmental control, as it targets apartments.

When a function capable of preventing inter-floor noise generation is added to the AI air quality environmental control system of the present invention, or a function capable of automatically controlling the opening and closing of louvers installed in an air-conditioning room is additionally added, it is called an apartment housing management system with AI air quality environmental control function or an apartment housing management system based on AI air quality environmental control, and more simply, an apartment housing management system.

Define the terms used in this specification.

“Temperature and humidity optimization cooling and heating operation mode” or “Optimization mode” is a cooling and heating operation mode that creates the temperature and humidity conditions that make residents feel the most comfortable.

"Resident-tailored ventilation and heating/cooling mode" or "Resident-tailored mode" is an operation mode that stores the ventilation patterns and heating/cooling patterns actually being used by residents in a database, and then automatically operates ventilation and heating/cooling based on the history of past heating/cooling patterns stored in the database even when the residents are indoors in their households without separately setting the air quality concentration values for ventilation and the temperature/humidity for heating/cooling.

The AI air quality environment control system according to one embodiment of the present invention comprises: a VOC sensor (123a) installed in each household (A) of an apartment complex and detecting the concentration of volatile organic compounds (VOCs, hereinafter simply referred to as 'VOCs') of the household; a carbon dioxide ( _CO2 ) sensor (123b) installed in each household (A) of the apartment complex and detecting the concentration of carbon dioxide of the household; a fine dust sensor (123c) installed in each household (A) of the apartment complex and detecting fine dust of the household; a heat exchanger (133a) installed in each household (A) of the apartment complex and ventilating the air inside the household and the outside air; an air purifier (133d) installed in each household (A) of the apartment complex and forcibly sucking in the air inside the household, filtering it with an internal filter, and then discharging the purified air; a reference VOC value (reference VOC concentration value) installed in an internal storage (117) of each household (A) of the apartment complex and storing the reference VOC value, and a reference It is characterized by comprising a generation integrated controller (110) that stores carbon dioxide values (reference carbon dioxide concentration values) and reference particulate matter values (reference particulate matter concentration values), receives sensor detection values (VOC sensor measurement values, carbon dioxide sensor measurement values, and particulate matter sensor measurement values) from the VOC sensor (123a), the carbon dioxide sensor (123b), and the particulate matter sensor (123c), compares the current sensor detection values received from the VOC sensor (123a), the carbon dioxide sensor (123b), and the particulate matter sensor (123c) with the reference VOC value, the reference carbon dioxide value, and the reference particulate matter value in the internal storage unit (117), and then outputs an operation control signal for controlling the operation of the heat exchanger (133a) and the air purifier (133d) according to the comparison values.

According to this, VOC, fine dust, and carbon dioxide air quality control can be conveniently performed in an integrated manner in a single integrated controller (110).

The above fine dust sensor (123c) is a PM 2.5 fine dust sensor, which is an ultrafine dust.

When fine dust (PM2.5) is bad, the air purifier (133d) automatically circulates and operates according to the sensor concentration. When carbon dioxide is bad, ventilation is automatically operated according to the carbon dioxide concentration standard. When VOC is bad, ventilation is automatically operated according to the VOC concentration standard.

In an AI air quality environment control system according to one embodiment of the present invention, if the sensor detection values received from the carbon dioxide sensor (123b) and the fine dust sensor (123c) are both greater than the reference concentration value, i.e., if both the fine dust and carbon dioxide concentrations are bad, the heat exchanger (133a) is operated according to the carbon dioxide concentration standard, and if the sensor detection value received from the fine dust sensor (123c) is greater than the reference concentration value and the sensor detection value received from the carbon dioxide sensor (123b) is less than the reference concentration value, i.e., if the carbon dioxide concentration is good, the generation integrated controller (110) outputs a driving control signal to the air purifier (133d) to automatically operate the air purifier (133d) based on the fine dust concentration.

In the AI air quality environment control system according to one embodiment of the present invention, when fine dust and VOC are bad, that is, when both sensor detection values received from the VOC sensor (123a) and the fine dust sensor (123c) are greater than the reference concentration value, that is, when both VOC and fine dust concentrations are bad, the generation integrated controller (110) operates the heat exchanger (133a) according to the VOC concentration standard to perform automatic ventilation operation, and thereafter, when the VOC concentration is good, the operation of the air purifier (133d) is controlled based on the fine dust concentration value, and when both carbon dioxide and VOC are bad, the ventilation automatic operation is performed based on the worse concentration value among the carbon dioxide and VOC, that is, when any one of the sensor detection values received from the VOC sensor (123a) and the carbon dioxide sensor (123b) is greater than the reference concentration value, the generation integrated controller (110) operates the heat exchanger (133a) to perform automatic ventilation. While driving, if fine dust, carbon dioxide, and VOC are all bad (i.e., if each sensor detection value is greater than the reference value), the generation integrated controller (110) controls the operation of the heat exchanger (133a) according to the bad concentration standard among carbon dioxide and VOC, and then, if the carbon dioxide and VOC concentrations are good (i.e., if the sensor detection value is less than the reference value), it controls the operation of the air purifier (133d) according to the fine dust concentration value.

When the level of fine dust is bad, it is more advantageous in terms of energy savings to purify the air by circulating the internal air rather than introducing the outside air. Therefore, the air purifier or heat exchanger (133a) is operated in the air purification mode.

The above-mentioned generation integrated controller (110) is characterized in that when the range hood (133e) is in operation, the heat exchanger (133a) operates in conjunction with the range hood.

In cases where carbon dioxide or VOCs become bad, the logic is designed to introduce outside air, filtered through a heat exchanger, as a supply of outside air and fresh oxygen is required.

In the AI air quality environment control system according to one embodiment of the present invention, it is of course configured to further include an air supply diffuser (133c) for supplying air from outside the heat exchanger (133a) into the household, and an exhaust diffuser (133b) for exhausting air from inside the heat exchanger (133a) to the outside.

In an AI air quality environment control system according to one embodiment of the present invention, the generation integrated controller (110) stores ventilation and heating/cooling setting values of residents based on the outdoor temperature and humidity and the outdoor fine dust concentration value and the indoor temperature and humidity and the fine dust concentration, the carbon dioxide concentration and the VCC concentration in a database by date, day of the week and hour, and automatically controls the operation of a ventilation device (including an air purifier and a heat exchanger) and a heating/cooling device (heating device (131) and cooling device (132)) by an artificial intelligence program learned by the database information.

According to this, it is possible to provide optimized air quality tailored to the lifestyle patterns of residents (occupants) based on AI, and also provide a living environment accordingly.

In an AI air quality environment control system according to one embodiment of the present invention, a heating device (131) that supplies heating to an indoor space (R) of each household of an apartment complex, a cooling device (132) that supplies cold air to an indoor space of each household of an apartment complex, an outdoor temperature sensor (321) that detects the outdoor temperature of the apartment complex and transmits the measured outdoor temperature value to an apartment complex management server (200) or an integrated controller (110), an indoor temperature sensor (121) that is provided in each household (A) of the apartment complex and detects the temperature of the indoor space of the household, an indoor humidity sensor (122) that is provided in each household (A) of the apartment complex and detects the humidity of the indoor space of the household, an outdoor air quality sensor (323) that is provided outdoors of the apartment complex and detects outdoor air quality pollution [here, the outdoor air quality sensor (323) is configured as an outdoor fine dust sensor, for example], and a resident sensor that is installed in each household of the apartment complex and detects whether there is a resident in the indoor space of the household. It is configured by further including a sensor (124), a resident-customized mode execution key (116), which is a command key for automatically executing resident-customized ventilation and heating/cooling, and a customized database (118) that stores indoor air quality and temperature/humidity values by date, day of the week, and time zone based on the history of actual ventilation and heating/cooling performed by residents in the indoor space according to the control of the household integrated controller (110).

At this time, the above-mentioned generation integrated controller (110), when receiving a resident presence detection signal from the resident sensor (124), determines the number of residents based on the received resident sensing signal, and stores the determined number of residents along with the current indoor air quality concentration value and temperature and humidity value in a customized database (118) along with the date and time.

In addition, the above-mentioned generation integrated controller (110) is characterized in that, when a command key signal is input from the resident-customized mode execution key (116), it controls the execution of resident-customized ventilation and heating/cooling by reading the air quality concentration value and temperature/humidity value stored in accordance with the number of residents stored in the customized database (118).

Depending on the presence and number of residents in an apartment complex, ventilation and heating and cooling can be performed based on the analysis of the residents' ventilation and heating and cooling lifestyle patterns, thereby increasing the convenience of living and saving energy for ventilation and heating and cooling.

The above VOC sensor (123a), _CO2 sensor (123b), and fine dust sensor (123c) are collectively referred to as indoor air quality sensors (123).

And, the heat exchanger (133a), the exhaust diffuser (133b), the supply diffuser (133c), the air purifier (133d), and the range hood (133e) are collectively called a ventilation device (133).

The above customized database (118) may be configured as an external memory.

The above resident sensor (124) may be composed of, for example, an infrared sensor or a dynamic detection sensor.

And, in the AI air quality environment control system according to one embodiment of the present invention, depending on the embodiment, a resident-customized mode setting unit (115) for automatically setting resident-customized ventilation and heating/cooling is further included and configured, and the household integrated controller (110) is characterized in that it stores resident-customized information in a customized database (118) only when there is a setting command from the resident-customized mode setting unit (115).

This increases the convenience for residents.

In the AI air quality environment control system according to one embodiment of the present invention, the generation integrated controller (110) is provided in the generation and receives temperature values detected from the outdoor temperature sensor (321) and the indoor temperature sensor (121), and a heating operation temperature (Th) and a cooling operation temperature (Tr) are set and stored, and when the current indoor temperature (Tp) is lower than the heating operation temperature, a heating operation control signal for operating the heating device (131) is output to the heating device (131), and when the current indoor temperature (Tp) is higher than the cooling operation temperature, a cooling operation control signal for operating the cooling device (132) is output to the cooling device (132).

Here, the above-mentioned generation integrated controller (110) is characterized in that, when the temperature difference (ΔT) between the heating water supply temperature and the heating water return temperature in the heating device (131) exceeds the outside air compensation standard temperature difference (ΔTs), it controls the heating operation of the heating device by compensating the indoor heating operation temperature using the outside air temperature (To) as a compensation value.

According to this, the indoor temperature control of the generation is controlled by compensating for the outside temperature value, thereby controlling the heating device, making it possible to heat efficiently while saving heating energy.

In an AI air quality environment control system according to one embodiment of the present invention, the generation integrated controller (110) calculates a compensation value proportional to the outside temperature (To) and controls the heating device (131) to perform heating operation at a compensated heating water supply temperature that adds the calculated compensation value to the preset heating water supply temperature.

The above external compensation reference temperature difference (ΔTs) can be set to, for example, 10 degrees Celsius.

In the AI air quality environment control system according to one embodiment of the present invention, the household integrated controller (110) comprises: a temperature input unit (111) which is a user interface for inputting a set temperature value in each household of an apartment complex; a humidity input unit (112) which is a user interface for inputting a set humidity value in each household of an apartment complex; a display unit (not shown) which displays information including the current temperature and humidity and air quality measurement values in the household; a VOC value input unit (117a) which is a user interface for inputting a reference VOC concentration value in each household of an apartment complex; a carbon dioxide value input unit (117b) which is a user interface for inputting a reference carbon dioxide concentration value in each household of an apartment complex; a fine dust value input unit (117c) which is a user interface for inputting a reference fine dust concentration value in each household of an apartment complex; a storage unit (117) which stores temperature and humidity values set as target values in an indoor space of the household; and a device for communicating with indoor and outdoor sensors or with a portable terminal (400) of a household member or with a device for communicating with a portable terminal (400) of a household member. It is characterized by including a management server (200), a communication module (119) for wired/wireless and short-distance communication and Internet communication, and a control unit (110A) for controlling the configurations within a generation integrated controller (110) and executing a ventilation and temperature/humidity optimization cooling/heating operation program.

And, in the AI air quality environment control system according to one embodiment of the present invention, when at least three or more optimal temperature and humidity reference values (T1, H1, .., H4) are input, the generation integrated controller (110) sets a two-dimensional temperature and humidity optimized cooling and heating operation zone by the input optimal temperature and humidity reference values (T1, H1, .., H4), and controls the operation of the cooling device (132) and the heating device (131) so that the indoor air quality concentration value and the temperature and humidity value are maintained only within the temperature and humidity optimized cooling and heating operation zone set by the optimal temperature and humidity reference values (T1, H1, .., H4).

The above-mentioned generation integrated controller (110) further includes an optimized mode setting unit (113) for inputting a command to set an optimized heating and cooling mode, which is a cooling and heating mode in which cooling and heating are operated only in a temperature and humidity optimized cooling and heating operation zone set by inputting optimal temperature and humidity reference values (T1, H1, .., H4), and an optimal temperature and humidity reference value setting unit (114) for inputting four optimal temperature and humidity reference values. The above-mentioned generation integrated controller (110) is configured such that, when four optimal temperature and humidity reference values (T1, H1, .., H4) are input through the optimal temperature and humidity reference value setting unit (114), a temperature and humidity optimized cooling and heating operation zone (Za) of a square shape consisting of four straight lines is set by connecting the vertices of the input optimal temperature and humidity reference values (T1, H1, .., H4) with straight lines, and the indoor temperature and humidity optimized cooling and heating operation zone (Za) is set only within the temperature and humidity optimized cooling and heating operation zone (Za). It is characterized by controlling the operation of a cooling device (132) and a heating device (131) so that air quality concentration values and temperature and humidity values are maintained.

As described above, by setting a temperature and humidity optimized heating and cooling operation zone (Za) based on four temperature and humidity reference values, and controlling the temperature and humidity values so that operation is performed only within the temperature and humidity optimized heating and cooling operation zone (Za), there is an advantage in that heating and cooling energy can be saved compared to the conventional technology that simply performs heating and cooling operation based on a single temperature and humidity value.

In addition, by setting the temperature and humidity values at which residents feel the most comfortable based on experimental data, and setting a temperature and humidity optimized heating and cooling operation zone (Za) with a calculation program based on the temperature and humidity values based on the experimental data, and operating the heating and cooling device so that the temperature and humidity values are maintained only within this temperature and humidity optimized heating and cooling operation zone (Za), it is possible to satisfy the comfort of residents while saving heating and cooling energy at the same time.

In an AI air quality environment control system according to one embodiment of the present invention, an outdoor humidity sensor (322) is further included to detect the humidity outside of an apartment complex and transmit the measured outdoor humidity value to an apartment complex management server (200) or a household integrated controller (110).

And, in the AI air quality environment control system according to one embodiment of the present invention, the generation integrated controller () is characterized by integratedly controlling the operation of a cooling device (132), a heating device (131), and a ventilation device (133) [including the heat exchanger (133a) and the air purifier (133d)] so that the indoor air quality concentration value and the temperature and humidity value are maintained only within the temperature and humidity optimized cooling and heating operation zone (Za).

According to this, heating and cooling energy can be further reduced by using outside air to control temperature and humidity.

In the AI air quality environment control system according to one embodiment of the present invention, the optimal temperature and humidity reference values (T1, H1, . . ., H4) are composed of a first optimal temperature and humidity reference value (T1, H1), a second optimal temperature and humidity reference value (T2, H2), a third optimal temperature and humidity reference value (T3, H3), and a fourth optimal temperature and humidity reference value (T4, H4), and in the first optimal temperature and humidity reference value (T1, H1), the first optimal temperature reference value (T1) is smaller than the second, third, and fourth optimal temperature reference values (T2, T3, T4), and the first optimal humidity reference value (H1) is larger than the second, third, and fourth optimal humidity reference values (H2, H3, H4), the second optimal temperature reference value (T2) is smaller than the third and fourth optimal temperature reference values (T3, T4) and larger than the first optimal temperature reference value (T1), and the second optimal humidity reference value (H2) is It is characterized in that the third optimal temperature reference value (T3) is smaller than the fourth optimal temperature reference value (T4) and larger than the first and second optimal temperature reference values (T1, T2), the third optimal humidity reference value (H3) is smaller than the first optimal humidity reference value (H1) and larger than the second and fourth optimal humidity reference values (H2, H4), the fourth optimal temperature reference value (T4) is larger than the first, second and third optimal temperature reference values (T1, T2, T3), and the fourth optimal humidity reference value (H4) is smaller than the first, second and third optimal humidity reference values (H1, H2, H3).

When the four optimal temperature and humidity reference values are set as above, a temperature and humidity optimized heating and cooling operation zone (Za) close to a diamond shape with a high upper left and low lower right as shown in Fig. 4 is formed.

The temperature and humidity optimized heating and cooling operation zone (Za) illustrated in Fig. 4 is an operation zone that has been experimentally proven to provide the most comfort to residents while also saving energy.

The following describes an AI air quality environment control-based apartment management system that has an added function of preventing inter-floor noise generation and a function of automatically controlling the opening and closing of a louver (151) installed in an air conditioning room (Ra) in an AI air quality environment control system according to one embodiment of the present invention.

In an apartment management system based on AI air quality environment control according to one embodiment of the present invention, a noise sensor (125) and a vibration sensor (126) installed in each household of an apartment and assigned with a unique ID are further included, and the household integrated controller (110) receives signals measured by the noise sensor (125) and the vibration sensor (126) installed in the corresponding household, and transmits the received noise value and vibration value together with the household ID (household unit number) to the apartment management server (200), and the apartment management server (200) stores the noise value and vibration value received from the household integrated controller (110) of each household in an inter-floor noise database (210) by matching it to the household ID, and after comparing the received noise value and vibration value with a reference value, determines one of allowance, caution, warning, and conflict risk according to the magnitude of the received noise value and vibration value (hereinafter, inter-floor noise determination information), and transmits the inter-floor noise determination information to the corresponding household. It is characterized in that it transmits the inter-floor noise judgment information to the integrated controller (110), and the integrated controller (110) of the generation that has received the inter-floor noise judgment information transmits the inter-floor noise judgment information to the mobile terminal (400) of the newly registered member.

And, in the apartment management system based on AI air quality environment control according to one embodiment of the present invention, when the apartment management server (200) receives noise values and vibration values from a plurality of household integrated controllers (110), it determines the household of the household integrated controller (110) having the largest noise value and vibration value as the household generating inter-floor noise, and the apartment management server (200) is characterized in that it transmits inter-floor noise determination information and inter-floor noise generation household notification information notifying that the household is generating inter-floor noise to the household integrated controller (110) of the household generating inter-floor noise determined above and the household integrated controller (110) of the household adjacent to the household generating inter-floor noise.

According to this, when noise between floors occurs, it is possible to accurately determine in which household it occurred, and by specifying the household where the noise occurred and notifying all of the households around it, the households around the household where the noise occurred can also accurately identify the source of the noise.

In addition, the households that are the source of inter-floor noise, that is, the households that generate inter-floor noise, should be made aware of the level of inter-floor noise they have generated, so that they can refrain from generating inter-floor noise.

In this way, by quickly informing both the household generating the inter-floor noise and the household generating the noise via a mobile terminal, the anxiety caused by the inter-floor noise can be quickly relieved and the spread of the inter-floor noise can be prevented at an early stage.

In an apartment management system based on AI air quality environment control according to one embodiment of the present invention, a louver (151) is installed in an air conditioning room (Ra) in which an outdoor unit (132a) of the cooling device (132) is installed, and a louver driving unit (152, 153) for opening and closing the louver (151) is further included, and when the cooling device (132) is in operation, the household integrated controller (110) outputs a louver opening control signal to the louver driving unit (152, 153) and then drives the operation of the cooling device.

The above-mentioned generation integrated controller (110) is characterized in that it outputs a louver closing control signal to the louver driving unit (152, 153) after a set time has elapsed after the operation of the cooling device (132) has stopped.

According to this, even if the outdoor unit is operated by the operation of the air conditioning device (132), if the louver (151) of the air conditioning room is closed, the high temperature air generated from the outdoor unit cannot escape the air conditioning room, which may cause a fire. However, such an outdoor unit fire accident due to the operation of the outdoor unit and the closing of the louver can be prevented in advance.

And, in the apartment management system based on AI air quality environment control according to one embodiment of the present invention, a louver opening detection unit (not shown) that detects the opening rate of the louver (151) and outputs the opening rate of the louver to the household integrated controller (110) is further included, and the household integrated controller (110) is characterized in that it drives the louver driving unit according to a detection signal received from the louver opening detection unit.

The above louver driving unit (152, 153) may be configured in various embodiments.

The above louver driving unit (152, 153) may be composed of, for example, a motor (153) and a rotating screw (152) that rotates according to the rotation of the motor (153) and opens and closes the louver (151) by rotating in one direction and the other direction.

In a multi-family housing management system according to one embodiment of the present invention, it is characterized in that it further includes a rain sensor (324) installed outdoors that detects rain and transmits it to a multi-family housing management server (200) through a network.

In addition, when the apartment management server (200) receives a rain detection signal from a rain sensor (324), it transmits a rain notification signal to the household integrated controller (110) to notify that it is raining, and when the household integrated controller (110) receives a rain alarm signal, it transmits the rain notification signal to the mobile terminal (400) of a registered household member.

And, in the apartment management system according to one embodiment of the present invention, the portable terminal (400) of a household member transmits a louver closing command to a household integrated controller (110), and when the household integrated controller (110) receives the louver closing command, it outputs a louver closing control signal to a louver driving unit (152, 153).

According to this, rain can be prevented from entering the air conditioning room remotely during rainfall.

The following describes the cooling and heating operation of an apartment management system according to one embodiment of the present invention having the above configuration.

First, when the cooling/heating operation temperature is set (S510), the set cooling/heating temperature is stored (S512).

Compare the current temperature with the input set temperature (heating operation temperature or cooling operation temperature) (S514)

If the current temperature is lower than the heating operation temperature (TS1) (S516), heating operation is performed (S518).

And, if the current temperature is higher than the cooling operation temperature (TS2) (S517), cooling operation is performed (S519).

And, if the temperature difference (ΔT) between the heating water supply temperature and the heating water return temperature is greater than the outside air compensation standard temperature difference (ΔTs) (S520), the outside air temperature compensation heating optimization operation is performed (S522) to compensate for the indoor heating operation temperature using the outside air temperature (To) as a compensation value and perform heating operation of the heating device.

When the temperature difference (ΔT) between the heating water supply temperature and the heating water return temperature is less than or equal to the outside air compensation standard temperature difference (ΔTs) (S520), the minimum flow rate is checked per minute.

In this way, the preferred embodiments according to the present invention have been examined, and it is obvious to those skilled in the art that the present invention can be implemented in other specific forms without changing the technical idea or essential features thereof, in addition to the embodiments described above. Therefore, the above-described embodiments should be understood as illustrative rather than restrictive.

The scope of the present invention is indicated by the claims which follow rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention.

A: Generation R: Internal space of the generation
ΔT: Temperature difference between heating water supply temperature and heating water return temperature
ΔTs: External compensation reference temperature difference
Za: Temperature and humidity optimized cooling and heating operation zone
110: Generation Integrated Controller
111: Temperature input section 112: Humidity input section
113: Optimization mode setting section 114: Optimum temperature and humidity standard value setting section
115: Resident custom mode setting section 116: Resident custom mode execution key
117: Storage section 117a: VOC value input section
117b: Carbon dioxide value input section 117c: Fine dust value input section
118: Customized Heating and Cooling Database 119: Communication Department
121: Indoor temperature sensor 122: Indoor humidity sensor
123: Indoor air quality sensor 123a: VOC sensor
123b: Carbon dioxide sensor 123c: Fine dust sensor
124: Occupant sensor 125: Noise sensor
126: Vibration sensor 131: Heating device
132: Air conditioning unit 133: Ventilation unit
133a: Heat exchanger 133b: Exhaust diffuser
133c : Air Diffuser 133d : Air Purifier
133e: Rangehood 200: Apartment Management Server
321: Outdoor temperature sensor 322: Outdoor humidity sensor
323: Outdoor air quality sensor 400: Household member's mobile terminal

Claims (8)

A VOC sensor (123a) installed in each unit (A) of an apartment complex and detecting the concentration of volatile organic compounds (VOCs, hereinafter simply referred to as 'VOC') of the unit,
A carbon dioxide sensor (123b) installed in each unit (A) of an apartment complex and detecting the carbon dioxide concentration of the unit,
A fine dust sensor (123c) is installed in each unit (A) of an apartment complex and detects fine dust in the unit,
A heat exchanger (133a) is provided in each unit (A) of an apartment complex to ventilate the air inside the unit and the outside air,
An air purifier (133d) installed in each unit (A) of an apartment complex, which forcibly sucks in air within the unit, filters it through an internal filter, and then discharges purified air;
Equipped in each unit (A) of the apartment complex,
The standard VOC value, standard carbon dioxide value, and standard fine dust value are stored in the internal storage (117).
An AI air quality environment control system characterized in that it comprises a generation integrated controller (110) that receives sensor detection values (VOC sensor measurement values, carbon dioxide sensor measurement values, and fine dust sensor measurement values) from the VOC sensor (123a), the carbon dioxide sensor (123b), and the fine dust sensor (123c), compares the current sensor detection values received from the VOC sensor (123a), the carbon dioxide sensor (123b), and the fine dust sensor (123c) with a reference VOC value, a reference carbon dioxide value, and a reference fine dust value in an internal storage (117), and then outputs an operation control signal to the heat exchanger (133a) and the air purifier (133d) according to the comparison values.
In claim 1,
If the sensor detection values received from the carbon dioxide sensor (123b) and the fine dust sensor (123c) are both greater than the standard concentration value, the heat exchanger (133a) is operated according to the carbon dioxide concentration standard.
An AI air quality environment control system characterized in that, when the sensor detection value received from the fine dust sensor (123c) is greater than the reference concentration value and the sensor detection value received from the carbon dioxide sensor (123b) is less than the reference concentration value, the generation integrated controller (110) outputs a driving control signal to the air purifier (133d), thereby automatically operating the air purifier (133d) based on the fine dust concentration.
In claim 2,
If the sensor detection values received from the VOC sensor (123a) and the fine dust sensor (123c) are both greater than the standard concentration value, the generation integrated controller (110) operates the heat exchanger (133a) according to the VOC concentration standard to automatically operate ventilation, and if the VOC concentration is good, the operation of the air purifier (133d) is controlled based on the fine dust concentration value.
If any one of the sensor detection values received from the VOC sensor (123a) and carbon dioxide sensor (123b) is greater than the corresponding reference concentration value, the generation integrated controller (110) operates the heat exchanger (133a) to automatically operate ventilation.
In addition, when fine dust, carbon dioxide, and VOC are all bad, the generation integrated controller (110) controls the operation of the heat exchanger (133a) according to the bad concentration standard among carbon dioxide and VOC, and then when the carbon dioxide and VOC concentrations become good, the AI air quality environment control system is characterized in that it controls the operation of the air purifier (133d) according to the fine dust concentration value.
In claim 3,
The above generation integrated controller (110) is
An AI air quality environment control system characterized by storing the ventilation and heating/cooling settings of residents based on the outdoor temperature and humidity and the outdoor fine dust concentration value and the indoor temperature and humidity and the fine dust concentration, carbon dioxide concentration and VCC concentration in a database by date, day of the week and hour, and automatically controlling the operation of ventilation devices (air purifiers and heat exchangers) and heating/cooling devices by an artificial intelligence program learned by the database information.
In claim 4,
A heating device (131) that supplies heating to the indoor space (R) of each household in an apartment complex,
A cooling device (132) that supplies cold air to the indoor space of each unit of an apartment complex,
An outdoor temperature sensor (321) that detects the outdoor temperature of an apartment complex and transmits the measured outdoor temperature value to the household integrated controller (110),
An indoor temperature sensor (121) installed in each unit (A) of an apartment complex and detecting the temperature of the indoor space of the unit,
An indoor humidity sensor (122) installed in each unit (A) of an apartment complex and detecting the humidity in the indoor space of the unit,
An outdoor air quality sensor (323) installed outside of an apartment building and detecting outdoor air quality pollution,
An occupant sensor (124) installed within a co-living unit and detecting whether there is a resident in the indoor space of the unit,
The resident-customized mode execution key (116), which is a command key for automatically executing resident-customized ventilation and heating/cooling,
According to the control of the generation integrated controller (110), a customized database (118) is further included that stores the indoor air quality and temperature and humidity values according to the number of residents by date, day of the week, and time zone based on the history of the residents actually ventilating and heating/cooling in the indoor space.
The above-mentioned generation integrated controller (110), when receiving a resident presence detection signal from the resident sensor (124), determines the number of residents based on the received resident sensing signal, and stores the determined number of residents together with the current indoor air quality concentration value and temperature and humidity value in a customized database (118) along with the date and time.
The above-mentioned generation integrated controller (110) is an AI air quality environment control system characterized in that, when a command key signal is input from the resident-customized mode execution key (116), it controls the execution of resident-customized ventilation and heating/cooling by reading the air quality concentration value and temperature/humidity value stored in the customized database (118) according to the number of residents.
In claim 5,
It is configured by further including a resident-customized mode setting unit (115) for automatically setting resident-customized ventilation and heating/cooling.
The above-mentioned generation integrated controller (110) is an AI air quality environment control system characterized in that it stores resident-tailored information in a customized database (118) only when there is a setting command from a resident-tailored mode setting unit (115).
In claim 6,
The above generation integrated controller (110) is
A temperature input section (111), which is a user interface for entering the set temperature value in each household of an apartment complex,
A humidity input unit (112), which is a user interface for entering the set humidity value in each household of an apartment complex,
A display section (not shown) that displays information including the current temperature and humidity and air quality measurement values within the generation,
A VOC value input section (117a), which is a user interface for entering the standard VOC concentration value within each household of an apartment complex,
A carbon dioxide value input section (117b), which is a user interface for entering the standard carbon dioxide concentration value within each household of an apartment complex,
A fine dust value input section (117c), which is a user interface for entering the standard fine dust concentration value within each household of an apartment complex,
A storage unit (117) in which temperature and humidity values set as target values in the indoor space of the generation are stored,
A communication module (119) for communicating with indoor/outdoor sensors, or communicating with a household member's mobile terminal (400), or communicating with the apartment management server (200) via wired/wireless and short-distance communication and the Internet,
An AI air quality environment control system characterized by comprising a control unit (110A) for controlling the configurations within a generation integrated controller (110) and executing a ventilation and temperature/humidity optimization cooling/heating operation program.
In claim 7,
The above generation integrated controller (110) is
When at least three or more optimal temperature and humidity reference values (T1, H1, .., H4) are input, a two-dimensional temperature and humidity optimized cooling and heating operation zone is set by the input optimal temperature and humidity reference values (T1, H1, .., H4), and the operation of the cooling device (132) and the heating device (131) is controlled so that the indoor air quality concentration value and the temperature and humidity value are maintained only within the temperature and humidity optimized cooling and heating operation zone set by the optimal temperature and humidity reference values (T1, H1, .., H4).
In the above generation integrated controller (110),
An optimized mode setting unit (113) that inputs a command to set an optimized heating and cooling mode, which is a cooling and heating mode in which cooling and heating are operated only in a temperature and humidity optimized cooling and heating operation zone set by inputting optimal temperature and humidity reference values (T1, H1, .., H4),
It is configured by further including an optimum temperature and humidity reference value setting unit (114) for inputting four optimum temperature and humidity reference values.
The above-mentioned generation integrated controller (110) sets a temperature and humidity optimized cooling and heating operation zone (Za) in the shape of a square made of four straight lines by connecting the vertices of the input optimal temperature and humidity standard values (T1, H1, . . ., H4) with straight lines when four optimal temperature and humidity standard values (T1, H1, . . ., H4) are input through the optimal temperature and humidity standard value setting unit (114), and controls the operation of the cooling device (132) and the heating device (131) so that the indoor air quality concentration value and the temperature and humidity value are maintained only within the temperature and humidity optimized cooling and heating operation zone (Za).

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