Air quality simulation device and method

By simulating the building structure and air quality data and combining the conditions input by users, visual air quality data is generated, which solves the problem that existing air purifiers are difficult to provide indoor air quality status in a comprehensive manner, and achieves the effect of efficiently improving air quality and energy saving.

CN114444162BActive Publication Date: 2025-02-28KYUNGDONG NAVIEN CO LTD
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Patent Information

Application Number
CN202111248871.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Priority Date
2020-10-30
Filing Date
2021-10-26
Publication Date
2025-02-28
Estimated Expiration
2041-10-26

AI Technical Summary

Technical Problem

Existing air purifiers are difficult to provide comprehensive air quality status at various locations in the room, and cannot predict how air quality changes according to the conditions and conditions desired by the user, resulting in low efficiency in ventilation and purifier use.

Method used

By simulating the structural data of the building and the air quality simulation data, combined with the conditions input by the user, visual air quality data is generated, displaying the status and changes in indoor air quality over time, and providing optimal ventilation conditions.

Benefits of technology

Users can more accurately grasp the indoor air quality status, efficiently improve air quality, save energy, and avoid unnecessary ventilation and purification operations.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

An air quality simulation device involved in one embodiment of the present invention may include: a structural data acquisition unit, which acquires structural data of a building; a simulation data acquisition unit, which acquires simulation data for calculating the state of the internal air quality of the building; a condition selection unit, which selects at least one condition that affects the state of the internal air quality of the building based on user input; a simulation unit, which simulates the state of the internal air quality of the building using a simulation model that uses the structural data of the building, the simulation data, and the selection value of the condition selected by the user input as input; and a visualization unit, which generates visual data related to the internal air quality of the building based on the simulation results.
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Description

Technical Field

[0001] The present invention relates to an air quality simulation device and method, and more particularly, to an air quality simulation device and method for simulating the state of indoor air quality and visually displaying the result to a user. Background Art

[0002] Recently, as the air quality has deteriorated due to fine dust and the like, more and more people are wearing masks outside, and the concern for improving indoor air quality continues to rise, so it has become essential to equip homes or offices with air purifiers. In particular, in the case of recently manufactured air purifiers, users can grasp the general state of indoor air quality by lighting up in different ways according to the state of indoor air quality or providing numerical values ​​of pollution sources such as fine dust and the like.

[0003] However, such air purifiers can only provide a general indoor air quality status, but cannot comprehensively provide the air quality status of various indoor locations such as the living room, bedroom, bathroom, kitchen, etc. In the case of a relatively large space such as a home or office where a family lives as a unit, the air quality status may be different depending on time and location, but there is currently no suitable method for grasping the air quality status based on such an indoor structure. In addition, the previous air purifiers also have the following limitations, that is, they can only provide the current air quality status, and there is no way to confirm how the indoor air quality changes according to the conditions and conditions desired by the user.

[0004] In addition, users generally improve indoor air quality by opening windows or operating an air purifier according to the indoor air quality status displayed on the air purifier. However, if all windows are opened for ventilation or the air purifier is operated at a higher level than the current indoor air quality status, there is a problem of wasting power. If the windows are opened and the air purifier is operated, the indoor air purification effect is reduced. Summary of the invention

[0005] Problems to be solved by the invention

[0006] The object of the present invention is to provide an air quality simulation device and method that can visually display to a user the state of indoor air quality calculated by simulation and the change of air quality over time based on the structure of a building, so that the user can more accurately and easily understand the indoor air quality state.

[0007] The object of the present invention is to provide an air quality simulation device and method that calculates the state of indoor air quality through simulation based on the structure of a building and provides optimal ventilation conditions for removing indoor pollution sources based on this, so that users can efficiently improve the state of indoor air quality.

[0008] Means for solving problems

[0009] An air quality simulation device involved in one embodiment of the present invention may include: a structural data acquisition unit, which acquires structural data of a building; a simulation data acquisition unit, which acquires simulation data for calculating the state of the internal air quality of the building; a condition selection unit, which selects at least one condition that affects the state of the internal air quality of the building based on user input; a simulation unit, which simulates the state of the internal air quality of the building using a simulation model that uses the structural data of the building, the simulation data, and the selection value of the condition selected by the user input as input; and a visualization unit, which generates visual data related to the internal air quality of the building based on the simulation results.

[0010] The simulation data of the air quality simulation device according to an embodiment of the present invention may include the amount of air leakage of the building and the air volume of an exhaust device installed in the building.

[0011] The air volume of the exhaust device of the air quality simulation device according to one embodiment of the present invention may include the air volume generated by a range hood and a diffuser installed inside the building.

[0012] The air leakage of the building in the air quality simulation device according to an embodiment of the present invention may be a value acquired based on air leakage data at a time when the building was constructed.

[0013] The air leakage rate of the building in the air quality simulation device according to an embodiment of the present invention may be a value obtained by measuring the air leakage rate of windows and entrances and exits of the building.

[0014] The air leakage amount of the building in the air quality simulation device according to an embodiment of the present invention may be a value acquired based on the wind direction and wind speed at the location of the building.

[0015] In the air quality simulation device according to an embodiment of the present invention, the conditions selectable by the condition selection unit may include conditions related to time, weather, external air quality, and indoor conditions.

[0016] The visualization unit of the air quality simulation device according to an embodiment of the present invention may generate visual data representing changes in the state of the internal air quality of the building over time.

[0017] The visualization unit of the air quality simulation device according to an embodiment of the present invention may generate visual data showing the state of the internal air quality of the building based on a change in color.

[0018] The visualization unit of the air quality simulation device according to an embodiment of the present invention may generate visual data showing numerical values ​​of pollution sources inside the building.

[0019] The visualization unit of the air quality simulation device according to one embodiment of the present invention can generate visual data for comparing the state of the internal air quality of the building when the purification and ventilation device disposed inside the building is not used and when the purification and ventilation device is used.

[0020] The simulation unit of the air quality simulation device involved in one embodiment of the present invention can simulate the state of the internal air quality of the building based on the amount of pollution sources generated according to the type of food being cooked when the condition selected by the condition selection unit is a cooking condition.

[0021] The simulation unit of the air quality simulation device according to one embodiment of the present invention can simulate the state of the internal air quality of the building based on the amount of carbon dioxide generated during breathing when the condition selected by the condition selection unit is a study or sleep condition.

[0022] The simulation unit of the air quality simulation device according to an embodiment of the present invention may calculate the state of the internal air quality of the building based on average carbon dioxide emissions according to age.

[0023] The air quality simulation device according to an embodiment of the present invention may further include: a communication unit for transmitting the state information of the internal air quality of the building acquired by the simulation unit to the user's terminal.

[0024] The air quality simulation device according to an embodiment of the present invention may further include: a storage unit for storing the structural data of the building, the simulation data, and data related to the conditions.

[0025] The air quality simulation method of the present invention may include: a step of acquiring structural data of a building; a step of acquiring simulation data for calculating the state of the internal air quality of the building; a step of selecting at least one condition that affects the state of the internal air quality of the building based on user input; a step of simulating the state of the internal air quality of the building using a simulation model that takes the structural data of the building, the simulation data, and a selected value of the condition selected by the user input as input; and a step of generating visual data related to the internal air quality of the building based on the results of the simulation.

[0026] Effects of the Invention

[0027] According to the air quality simulation device and method of the present invention, the indoor air quality status and the change of air quality over time calculated by simulation are visually displayed to the user based on the structure of the building, so that the user can more accurately and easily understand the indoor air quality status.

[0028] According to the air quality simulation device and method of the present invention, the state of indoor air quality is calculated through simulation based on the structure of the building and based on this, the optimal ventilation conditions for removing indoor pollution sources are provided, so that users can efficiently improve the state of indoor air quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 1 is a block diagram showing the structure of an air quality simulation device according to an embodiment of the present invention.

[0030] Figure 2 This is a diagram for explaining how to analyze the structure of a building in order to visualize the indoor air quality status.

[0031] Figure 3 FIG. 1 is a diagram schematically showing how the state of indoor air quality is visualized by the air quality simulation device according to one embodiment of the present invention.

[0032] Figure 4 This is a graph for illustrating how indoor air quality is improved by using the air quality simulation device according to one embodiment of the present invention.

[0033] Figure 5 This is a diagram for explaining the improvement effect of indoor air quality achieved by the air quality simulation device according to one embodiment of the present invention.

[0034] Figure 6 The graph is used to show how the indoor air quality is improved by using the air quality simulation device according to an embodiment of the present invention when the user is cooking.

[0035] Figure 7 The figure schematically shows that the indoor air state is visualized by the air quality simulation device according to one embodiment of the present invention when the user is cooking.

[0036] Figure 8 Detailed description of the invention is given in detail below.

[0037] Fig. 9 is a flowchart showing an air quality simulation method according to another embodiment of the present invention.

[0038] Fig.10 1 is a block diagram showing the hardware structure of an air quality simulation device according to an embodiment of the present invention.

[0039] Description of Reference Numerals

[0040] 10, 100: Air quality simulation device 12: MCU

[0041] 14: Memory 16: Input / output I / F

[0042] 18: Communication I / F 110: Configuration data acquisition unit

[0043] 120: Simulation data acquisition unit 130: Condition selection unit

[0044] 140: Simulation Department 150: Visualization Department

[0045] 160: ventilation condition calculation unit 170: communication unit

[0046] 180: Storage DETAILED DESCRIPTION

[0047] Hereinafter, various embodiments of the present invention will be described in detail with reference to the accompanying drawings. In this document, the same reference numerals are used for the same components in the drawings, and repeated descriptions of the same components are omitted.

[0048] For the various embodiments of the present invention disclosed in this document, the specific structural or functional descriptions are merely illustrative for the purpose of illustrating the embodiments of the present invention. The various embodiments of the present invention can be implemented in various forms and should not be construed as being limited to the embodiments described in this document.

[0049] The expressions "first", "second", "first" or "second" used in various embodiments may modify various components regardless of the order and / or importance, and do not limit the components. For example, without departing from the scope of the present invention, the first component may be named as the second component, and similarly, the second component may be named in place of the first component.

[0050] The terms used in this document are only used to describe specific embodiments and may not be intended to limit the scope of other embodiments. A singular expression may include a plural expression unless the context clearly indicates a different meaning.

[0051] All terms used herein, including technical or scientific terms, may have the same meaning as generally understood by those skilled in the art. Terms defined by dictionaries in general use may be interpreted as having the same or similar meaning as those in the context of the relevant technology, and are not interpreted as idealized or overly formalized unless explicitly defined in this document. Depending on the circumstances, even terms defined in this document may not be interpreted as excluding embodiments of the present invention.

[0052] Figure 1 1 is a block diagram showing the structure of an air quality simulation device according to an embodiment of the present invention.

[0053] Reference Figure 1 , Figure 1 An air quality simulation device 100 according to an embodiment of the present invention may include a structure data acquisition unit 110, a simulation data acquisition unit 120, a condition selection unit 130, a simulation unit 140, a visualization unit 150, a ventilation condition calculation unit 160, a communication unit 170 and a storage unit 180.

[0054] The structural data acquisition unit 110 can acquire the structural data of the building. For example, the structural data of the building can be acquired from an external database containing structural information of the building where the user lives. If there is no data related to the structure of the building in the external database, the user can arbitrarily set the structural data of the building by directly creating it through the input unit (not shown). For example, the structural data of the building can be acquired by the user through measurement using a 3D scanner as needed. At this time, if the 3D scanner is configured in the living room, kitchen, and each room inside the house and is operated, stereoscopic photography can be automatically performed to measure the building structure in 3D form.

[0055] The simulation data acquisition unit 120 may acquire simulation data for calculating the state of the internal air quality of the building. For example, the simulation data may include the amount of air leakage in the building, the air volume of the exhaust device installed in the building, and the like.

[0056] For example, the air leakage of a building in the simulation data may be a value obtained based on the air leakage data of the building's construction period. In addition, the air leakage of a building may be obtained by measuring the air leakage of the building's windows, entrances, and other parts that communicate with the outside, or may be a value obtained based on the wind direction and wind speed at the building's location. For example, the air volume of an exhaust device may include the air volume based on a range hood, diffuser, and bathroom vent installed inside the building.

[0057] Furthermore, the structural data of the building and various simulation data that have been stored in the storage unit 180 in the past may be automatically updated every time they are newly acquired by the structural data acquisition unit 110 and the simulation data acquisition unit 120 .

[0058] The condition selection unit 130 may select at least one condition that affects the state of the internal air quality of the building based on the user's input. At this time, the conditions that can be selected by the condition selection unit 130 may include conditions related to time, weather, external air quality, and indoor conditions.

[0059] For example, among the selectable conditions, time may include desired time periods of the day such as daytime, nighttime, and early morning, and may also include seasons such as summer and winter. In addition, weather may include meteorological conditions such as sunny, cloudy, rainy, snowy, wind direction, and wind speed, and external air quality may include the amount of pollution sources such as dust concentration. In addition, indoor conditions may include various conditions that affect indoor air quality such as cooking, studying, exercising, and sleeping.

[0060] The simulation unit 140 can simulate the state of the internal air quality of the building using a simulation model that takes the structural data of the building, the simulation data, and the selected value of the condition selected by the user's input as input. In this case, the simulation unit 140 can perform the simulation using the result data of the past simulation (for example, the simulation result value stored in the storage unit 180).

[0061] For example, when the condition selected by the condition selection unit 130 is a cooking condition, the simulation unit 140 can simulate the state of the internal air quality of the building based on the amount of pollution sources generated by the type of food being cooked. In addition, when the condition selected by the condition selection unit 130 is a study or sleep condition, the simulation unit 140 can simulate the state of the internal air quality of the building based on the amount of carbon dioxide generated during breathing. In this case, the simulation unit 140 can calculate the state of the internal air quality of the building based on the average carbon dioxide emission amount according to age, the number of people living in the room during the simulation, and the like.

[0062] The simulation unit 140 can predict, by simulation, the state change of the internal air quality of the building according to the ventilation conditions calculated by the ventilation condition calculation unit 160. That is, the simulation unit 140 can simulate the change of the internal air quality of the building when ventilation is performed based on the ventilation conditions calculated by the ventilation condition calculation unit 160, such as the opening and closing state of each window, the operating state and setting value of equipment such as the indoor purification ventilation device.

[0063] For example, when the pollution source value (e.g., dust concentration) outside the building is above a preset reference value and the condition selected by the condition selection unit 130 is a cooking condition, the simulation unit 140 can predict the state change of the internal air quality of the building through simulation based on the amount of pollution source generated by the type of food being cooked (e.g., mackerel that generates a lot of dust), for each condition such as not using a range hood, using a range hood with the windows of the building open, using a range hood with the windows closed, using a purification ventilation device without using a range hood, and using a cooking-specific mode (or centralized air supply) of a range hood and a purification ventilation device together. Thus, when the external dust concentration is high and the air quality is poor, when cooking that generates a lot of dust is performed indoors, it is possible to visualize and make it easy for the user to understand whether the pollution source can be removed in the most effective way.

[0064] The visualization unit 150 may generate visual data related to the internal air quality of the building based on the result of the simulation performed by the simulation unit 140. At this time, the visual data generated in the visualization unit 150 may be displayed by a display unit (not shown) or a user terminal.

[0065] The visualization unit 150 may generate visual data indicating changes in the state of the internal air quality of the building over time. At this time, the visualization unit 150 may generate visual data that displays the state of the internal air quality of the building based on changes in color. For example, the visual data may be generated to display red when the indoor dust is very bad and blue when it is very good. For example, the visualization unit 150 may generate visual data to display the changes in the state of the internal air quality of the building over time in the form of multiple images or in the form of a video.

[0066] In addition, the visualization unit 150 may generate visual data that displays numerical values ​​of pollution sources inside the building. For example, the visualization unit 150 may generate visual data that displays specific numerical values ​​of pollution sources such as fine dust, radon, and TV OC inside the building.

[0067] The visualization unit 150 can generate visual data comparing the state of the internal air quality of the building when the purification ventilation device disposed inside the building is not used and when the purification ventilation device is used. Therefore, the user can visually confirm the effect of the purification ventilation device disposed indoors.

[0068] The ventilation condition calculation unit 160 can use a simulation model to calculate the ventilation conditions for improving the state of the internal air quality of the building. In this case, the ventilation condition calculation unit 160 can use the result data of past simulations (for example, the simulation result value stored in the storage unit 180) to perform simulations. In addition, the ventilation condition calculation unit 160 can provide ventilation conditions for natural ventilation or ventilation through a purification ventilation device according to external conditions. In this way, the ventilation condition calculation unit 160 can provide the user with solutions such as whether natural ventilation is efficient or a certain mode of the purification ventilation device is efficient under the current situation after the purification ventilation device is set.

[0069] For example, when the value of the pollution source outside the building is less than a preset reference value and the outside temperature is within an appropriate range, the ventilation condition calculation unit 160 can select a window that allows natural ventilation so that the state of the internal air quality of the building is within a normal range. Specifically, when the value of the pollution source outside the building is less than a preset reference value, the ventilation condition calculation unit 160 can select a window that makes the state of the internal air quality of the building fall within the normal range most quickly. In addition, when the value of the pollution source outside the building is less than a preset reference value, the ventilation condition calculation unit 160 can select a window that makes the state of the internal air quality of the building fall within the normal range within a preset time.

[0070] In addition, even if the pollution source value outside the building is less than the preset reference value, but the external temperature is too high or too low and is not suitable for natural ventilation, the ventilation condition calculation unit 160 can calculate the setting conditions of the purification and ventilation device so that the internal air quality state of the building can be included in the normal range as quickly as possible or so that the internal air quality state of the building can be included in the normal range within a preset time.

[0071] Therefore, when the concentration of external dust and the like is low and the air quality is excellent, guidance can be provided so that the purification and ventilation device arranged indoors is not used, but the windows which can most effectively improve the air quality are opened, thereby saving energy loss.

[0072] The ventilation condition calculation unit 160 may calculate the setting value of the purification ventilation device disposed inside the building so that the state of the internal air quality of the building is included in the normal range. In this case, the ventilation condition calculation unit 160 may calculate the setting value of the purification ventilation device so that the state of the internal air quality of the building is included in the normal range within a preset time. Thus, it is possible to efficiently use electricity by providing a setting value that can most efficiently improve the internal air quality of the building even if the user does not switch the mode of the purification ventilation device multiple times.

[0073] In this way, the ventilation condition calculation unit 160 can calculate the positions of windows that should be opened among the windows configured in the room, the setting values ​​of the purification ventilation device, and other conditions for most efficiently removing indoor pollution sources for a device (for example, a purification ventilation device) used to improve the internal air quality of a building.

[0074] The communication unit 170 can transmit the state information of the internal air quality of the building obtained by the simulation unit 140 to the user's terminal. Therefore, the user can also confirm the indoor air quality state in real time through the terminal. In addition, the communication unit 170 can also receive data for calculating the internal air quality of the building from an external server (not shown), such as the structure of the building, air leakage, external air quality data, and air volume data of the exhaust device.

[0075] In addition, the communication unit 170 can transmit a signal for opening and closing the windows of the building (for example, in the case of windows that can be automatically controlled) or driving a purification and ventilation device arranged inside the building based on the setting value of the ventilation condition calculated by the ventilation condition calculation unit 160.

[0076] The storage unit 180 can store various data such as the structural data of the building acquired by the structural data acquisition unit 110, the simulation data acquired by the simulation data acquisition unit 120, and data related to the conditions that can be selected by the condition selection unit 130. In addition, the storage unit 180 can store various output data simulated by the air quality simulation device 100 of the present invention, such as the state data of the air quality inside the building simulated by the simulation unit 140 and the ventilation condition data calculated by the ventilation condition calculation unit 160.

[0077] Thus, the air quality simulation device according to one embodiment of the present invention can visually display how the internal air quality of a building changes according to various conditions through simulation, and display effective air quality improvement solutions to users. Examples of simulation results according to various conditions are as follows.

[0078] <Case 1: General situation>

[0079] 1. When the concentration of dust outside is high (poor air quality)

[0080] When the external dust concentration is high, the internal air quality of the building can be simulated using the structural data of the building, the diffuser air volume measurement value located in each room when there is an exhaust device, the external air quality data, and the air leakage data according to the construction period of the building. At this time, the air quality simulation device involved in an embodiment of the present invention can visually display the dust values ​​(for example, red in the case of very poor dust and blue in the case of very good dust) in each room, living room, kitchen and other indoor places (for example, PM1.0, PM2.5, PM10) through a simulation program according to the changes in the external dust values, and visually display the values ​​that change over time. In addition, as needed, the values ​​of other pollution sources such as radon and TVOC can also be displayed together.

[0081] In this way, an air quality simulation device involved in an embodiment of the present invention simulates the indoor air quality status when there is a lot of fine dust and displays it based on the structure of the building so that the user can easily understand it. After the indoor air quality is improved through purification and ventilation equipment, etc., the changes in the air quality status over time can also be displayed.

[0082] 2. When the concentration of dust outside is low (when the air quality is good)

[0083] When the external dust concentration is low, the internal air quality state of the building can be simulated using the structural data of the building and the external air quality data. In this case, the air quality simulation device can visualize the changes in the indoor air through the simulation program, and when the indoor air pollution increases, the user is notified of the window position that should be opened in order to most effectively remove the pollution source (such as dust, radon, CO2, TVOC, etc.). In addition, when an automatic control window is set, a notification can be made so that a small window can be opened at that position.

[0084] In this way, the air quality simulation device according to one embodiment of the present invention can be displayed visually, so that when there is little dust outside and the air quality is good, the most effective window can be opened in accordance with the living environment of the user without using equipment such as a purification ventilation device, thereby quickly removing the polluted air in the room. In addition, the user can be guided to operate the purification ventilation device in summer and winter, thereby minimizing energy loss when operating the cooling / heating air conditioner, thereby saving electricity.

[0085] <Scenario 2: Cooking indoors>

[0086] 1. When the concentration of dust outside is high (poor air quality)

[0087] When cooking is performed indoors when the concentration of external fine dust is high, the internal air quality of the building can be simulated using the structural data of the building, the air volume of the diffuser located in each room when there is an exhaust device in the building, the air volume data of the range hood installed in the building, the external air quality data, and the air leakage data according to the construction period of the building. At this time, the air quality simulation device involved in one embodiment of the present invention can visualize how the fine dust value changes according to the position of the cook, the living room, etc. in the amount of fine dust generated according to the type of cooking, relative to each situation such as not using a range hood, using only a range hood, and using both a purification ventilation device and a range hood.

[0088] Therefore, when cooking indoors that generates a lot of dust when there is a lot of dust outside and the air quality is poor, the cook can be informed visually and easily how to use the device to remove the dust in the most effective way.

[0089] 2. When the concentration of dust outside is low (when the air quality is good)

[0090] When cooking is performed indoors when the concentration of external fine dust is low, the internal air quality of the building can be simulated using the structural data of the building, the air volume of the diffuser located in each room when an exhaust device is provided, the air volume measurement data of the range hood installed in the building, the air leakage volume data according to the construction period of the building, and the external air quality data. At this time, the air quality simulation device can visualize how the fine dust value changes according to the position of the cook, the living room, etc., in the amount of fine dust generated according to the type of cooking, such as when the range hood is used with a window opened at a specific position, when the range hood is not used, when the window is not opened and only the range hood is used, and when the purification ventilation device and the range hood are used at the same time.

[0091] Thus, according to the air quality simulation device of the present invention, when the external dust is low and the air quality is excellent, the most effective method suitable for the living environment where the user lives can be provided by a simulation program with or without using a purification ventilation device and the like. Thus, a visual display is performed so that polluted air generated during cooking can be quickly removed, and energy loss can be minimized when operating a cooling / heating air conditioner in summer and winter.

[0092] <Scenario 3: Studying or sleeping indoors>

[0093] 1. When the concentration of dust outside is high (poor air quality)

[0094] When the user is studying or sleeping when the external dust concentration is high, the internal air quality of the building can be simulated using the structural data of the building, the air volume measurement data of the diffuser located in each room when there is an exhaust device, the external air quality data, the air leakage data according to the construction period of the building, and the carbon dioxide emission data according to age. At this time, the air quality simulation device can visualize the amount of carbon dioxide generated by breathing while studying or sleeping by the simulation program for the case where the purification ventilation device is operated and the case where it is not operated.

[0095] Therefore, the air quality simulation device according to one embodiment of the present invention can visually inform the user of the amount of carbon dioxide generated while studying or sleeping indoors in an easily understandable manner when there is much dust outside and the air quality is poor.

[0096] 2. When the concentration of dust outside is low (when the air quality is good)

[0097] When the external dust concentration is low and the user is studying or sleeping, the internal air quality of the building can be simulated using the internal structure data of the building, the external air quality data, and the carbon dioxide emission based on age. At this time, the air quality simulation device can visualize which window opening position can effectively reduce the amount of carbon dioxide produced by breathing while studying or sleeping, or how it changes over time, through a simulation program.

[0098] In this way, according to the air quality simulation device of the present invention, when the external dust concentration is low and the air quality is excellent, it can be visually displayed through a simulation program so that the most effective windows can be opened in accordance with the living environment of the user without using equipment such as purification ventilation devices to reduce the amount of carbon dioxide.

[0099] However, the conditions that can be simulated by the air quality simulation device according to an embodiment of the present invention are not limited to the conditions described above, and various conditions that may affect indoor air quality can also be simulated.

[0100] In this way, the air quality simulation device according to one embodiment of the present invention visually displays to the user the state of indoor air quality calculated by simulation and the change of air quality over time based on the structure of the building, so that the user can more accurately and easily understand the indoor air quality state.

[0101] In addition, by calculating the state of indoor air quality through simulation based on the structure of the building and providing the optimal ventilation conditions for removing indoor pollution sources based on the calculation, the user can efficiently improve the state of indoor air quality.

[0102] In this way, the ventilation guiding device according to one embodiment of the present invention can provide a solution through simulation so that the user of the purification ventilation device can effectively manage the indoor air quality and guide it.

[0103] Figure 2 This is a diagram for explaining how to analyze the structure of a building in order to visualize the indoor air quality status.

[0104] Reference Figure 2 The air quality simulation device according to one embodiment of the present invention can simulate the state of the internal air quality and obtain the structural data of the building including the indoor area, volume, plane structure, whether ductwork can be set, etc. for visualization. At this time, the structural data of the building can be obtained by Figure 1The structural data acquisition unit 110 acquires the structural data of the building. For example, the structural data of the building may be received from an external server through the communication unit 170 or may be stored in the storage unit 180 in advance.

[0105] Specifically, for a completed building, if there is data related to the building structure in a database connected to the building, the data can be received through the communication unit 170 and used to simulate the internal air quality state of the building. However, if there is no data related to the building structure in the database, the internal air quality state of the building can be simulated as follows. Figure 2 As shown, the three-dimensional structure of the building is directly measured using a 3D scanner, and the structural data of the building obtained by the measurement is stored in the storage unit 180.

[0106] On the contrary, in the case of unfinished new buildings, e.g. Figure 2 As shown, the building structure can be directly created based on the building design drawing through a drawing program such as Computer Aided Design (CAD) and stored in the storage unit 180 in advance.

[0107] However, in the air quality simulation device according to an embodiment of the present invention, the method for obtaining the structural data of the building is not limited to Figure 2 In addition, a variety of methods can be used.

[0108] Figure 3 FIG. 1 is a diagram schematically showing how the state of indoor air quality is visualized by the air quality simulation device according to one embodiment of the present invention.

[0109] exist Figure 3 The upper right side shows the internal structure of the building, and the lower right side shows the concentration of indoor dust (μg / m 3 ). In addition, Figure 3 The left side shows the change of internal air quality through color changes based on the structure of the building. Figure 3 In the example of FIG. 1 , the higher the concentration of indoor dust is, the more red it is displayed, and the lower it is, the more blue it is displayed. In this way, the user can easily confirm the dust concentration of each part of the room, that is, the state of the air quality, through the visual screen based on the structure of the building.

[0110] On the other hand, Figure 3As shown, various data used to calculate the indoor air quality state can be obtained by, for example, receiving various state values ​​from a control monitor installed indoors, a sensor configured indoors, or an external server, or receiving weather information such as weather or dust from a network server. The data obtained in this way can include, for example, the aforementioned building structure data, the air volume of the exhaust device, the air leakage of the building, and external dust data, which can be used as input values ​​of the aforementioned simulation model.

[0111] Thus, in an air quality simulation device according to an embodiment of the present invention, the internal air quality status is displayed based on the structure of the building together with the numerical values ​​of pollution sources such as dust through means such as color changes, thereby enabling users to easily understand the internal air quality status of the building at a glance.

[0112] Figure 4 This is a graph for illustrating how indoor air quality is improved by using the air quality simulation device according to one embodiment of the present invention.

[0113] Specifically, Figure 4 The simulation data shows the indoor dust concentration when there is a lot of indoor dust due to walking activities indoors, which needs to be improved. Because there is a lot of outdoor dust and natural ventilation is not suitable, it is preferred to operate the purification ventilation device in air purification mode.

[0114] Reference Figure 4 , when the outdoor dust concentration is very poor (75μg / m 3 Above), the initial concentration of indoor dust is 10μg / m 3 In the case of , the horizontal axis of the graph represents time (hours) and the vertical axis represents the PM2.5 dust concentration. Figure 4 In the figure, the change of dust concentration at various positions in the room is shown after the purification ventilation device installed in the room is operated in the air purification mode of 200CMH at 7 o'clock, 12 o'clock and 18 o'clock respectively, when the user walks for 30 minutes indoors at 7 o'clock, 12 o'clock and 18 o'clock respectively.

[0115] like Figure 4 As shown in the figure, it can be seen that at 7 o'clock, 12 o'clock, and 18 o'clock when the user walked indoors, the concentration of fine dust in the living room and each room (bedroom, room 1, and room 2) increased to 38 μg / m 3 This is because walking activities generate pollution sources such as carbon dioxide. In this case, an air quality simulation device according to an embodiment of the present invention can simulate the current internal air quality state of a building, calculate ventilation conditions suitable for the current state, and operate exhaust devices such as windows or purification ventilation devices to improve the internal air quality. Figure 4 As confirmed in , it can be seen that when the user is walking at 7 o'clock, 12 o'clock, and 18 o'clock, the fine dust concentration increases and then gradually decreases again.

[0116] Figure 5 This is a diagram for explaining the improvement effect of indoor air quality achieved by the air quality simulation device according to one embodiment of the present invention.

[0117] Specifically, Figure 5 The simulation shows how the air quality can be improved by using the air purification mode of the purification ventilation device which is not natural ventilation due to the high outdoor dust concentration. Figure 5 The upper right side shows the internal structure of the building, and the right side shows the concentration of indoor dust (μg / m 3 ). In addition, Figure 5 On the left side of the diagram, the change in internal air quality over time is shown by changing the color based on the structure of the building. Figure 5 Examples of Figure 3 Similarly, the higher the concentration of indoor dust, the more red it is displayed, and the lower the concentration, the more blue it is displayed. Figure 5 In the building structure diagram shown on the upper right side of , the part shown by the red arrow is the exhaust diffuser, which filters the indoor air and exhausts it, and the part shown by the blue arrow is the air supply diffuser, which filters the air exhausted from the exhaust diffuser and re-enters the room.

[0118] exist Figure 5 In the above example, the initial indoor dust concentration is 53 μg / m 3 After the dust in the room was no longer generated, the purification ventilation device installed in the room was operated for 60 minutes. Figure 5 As can be confirmed in the figure, it can be visually confirmed that the air purification mode of the purification ventilation device is operated based on the results simulated by the air quality simulation device involved in an embodiment of the present invention, and the longer it is carried out for 600 seconds (10 minutes), 1200 seconds (20 minutes), 1800 seconds (30 minutes) and 3600 seconds (60 minutes), the more the internal air quality is improved.

[0119] That is, through Figure 5 It can be confirmed that the longer the time is, the more the air quality is improved, centered on the air supply part of the air supply diffuser. Therefore, the air quality simulation device involved in one embodiment of the present invention can visualize the improvement effect of air quality over time when the purification ventilation device is running for consumers (users).

[0120] Figure 6The graph is used to show how the indoor air quality is improved by using the air quality simulation device according to an embodiment of the present invention when the user is cooking.

[0121] Reference Figure 6 , when the outdoor dust concentration is very poor (75μg / m 3 Above), the initial concentration of indoor dust is 10μg / m 3 In the case of, the horizontal axis of the graph represents time (hours), and the vertical axis represents the PM2.5 dust concentration. Figure 6 The figure shows the change of dust concentration at various locations in the room after the purification ventilation device installed in the room is operated in the centralized air supply mode of 200CMH for 30 minutes at 7 o'clock and 18 o'clock respectively, when the user cooks bacon for 10 minutes at 7 o'clock and 18 o'clock in the room.

[0122] That is, when cooking indoors, the concentration of fine dust in the room will become very high. In order to eliminate it, it is preferred to operate the cooking mode of the purification ventilation device. At this time, the cooking mode of the purification ventilation device and the operation of the range hood are simultaneously, and the purification ventilation device centrally supplies air to the kitchen (or the whole room according to the situation), thereby preventing the fine dust generated during cooking from spreading to other spaces such as the living room, and because the air supply direction is centralized to the range hood side, it helps the exhaust of the range hood, which can effectively and quickly reduce the concentration of fine dust.

[0123] like Figure 6 As shown in the figure, at 7:00 and 18:00 when the user was cooking indoors, the concentration of fine dust in the living room and each room (bedroom, room 1, and room 2) increased sharply to 190 μg / m 3 This is because cooking bacon generates pollution sources such as fine dust. In this case, an air quality simulation device according to an embodiment of the present invention can also simulate the current internal air quality state of the building, calculate ventilation conditions suitable for the current state, and thus operate the purification ventilation device in a centralized air supply mode to improve the internal air quality. Therefore, it is also possible to Figure 6 As confirmed in , it can be confirmed that at 7 o'clock and 18 o'clock when the user starts cooking, the dust concentration rises sharply and then gradually decreases again.

[0124] Figure 7 The figure schematically shows that the indoor air state is visualized by the air quality simulation device according to one embodiment of the present invention when the user is cooking.

[0125] Figure 7As a diagram showing the centralized air supply of the purification ventilation device, the following situation is shown, namely, in order to prevent the spread of fine dust generated during cooking, centralized air supply is performed at the front end of the range hood. In this case, since the flow rate is increased, the pollution source of the range hood is not discharged to the living room side. Figure 7 The upper right side shows the internal structure of the building, and the lower right side shows the indoor air flow rate (m / s) by changing colors. At this time, it is displayed in red when the flow rate is fast, and the slower the flow rate, the more blue it is. In addition, Figure 7 (a) and Figure 7 (b) Based on the structure of the building, the purification ventilation device in the operating room ( Figure 6 In the case of centralized air supply mode) and range hood, the change in flow rate is shown in side view and top view respectively by color change.

[0126] like Figure 7 As shown, when the user is cooking, a rapid airflow is formed by the purification ventilation device and the exhaust device such as the range hood. In this way, in the air quality simulation device involved in one embodiment of the present invention, not only the concentration of the pollution source such as fine dust is displayed, but also the flow rate change caused by the exhaust device, etc. is displayed, thereby enabling the user to understand the state of the airflow.

[0127] Figure 8 Detailed description of the invention is given in detail below.

[0128] Reference Figure 8 In an air quality simulation method according to an embodiment of the present invention, firstly, structural data of a building is obtained (S110). In this case, in the case of a public residence, the structure of the building can be obtained from a database inside the residence where the user lives. If there is no data related to the building structure in the database inside the residence, the building structure can be measured by a 3D scanner as needed.

[0129] In addition, simulation data for calculating the state of the internal air quality of the building is obtained (S120). At this time, the simulation data may include the amount of air leakage of the building, the air volume of the exhaust device arranged in the building, etc. For example, the amount of air leakage of the building in the simulation data may be a value obtained based on the air leakage data according to the construction period of the building. In addition, the amount of air leakage of the building can be obtained by measuring the amount of air leakage of the parts of the building such as windows and entrances and exits that communicate with the outside, or it may be a value obtained based on the wind direction and wind speed according to the location of the building. For example, the air volume of the exhaust device may include the air volume based on the range hood, diffuser and bathroom vents installed inside the building.

[0130] Next, based on the user's input, at least one condition that affects the state of the internal air quality of the building is selected (S130). At this time, the conditions that can be selected in step S130 may include conditions related to time, weather, external air quality, and indoor conditions. For example, among the selectable conditions, time may include desired time periods of the day such as daytime, nighttime, and early morning, and may also include seasons such as summer and winter. In addition, weather may include meteorological conditions such as sunny, cloudy, rainy, snowy, wind direction, and wind speed, and external air quality may include the amount of pollution sources such as dust concentration. In addition, indoor conditions may include a variety of conditions that may affect indoor air quality, such as cooking, studying, exercising, and sleeping.

[0131] Furthermore, the state of the internal air quality of the building is simulated using a simulation model that takes as input the structural data of the building, the simulation data, and the selected value of the condition selected by the user's input ( S140 ).

[0132] For example, in step S140, if the condition selected in step S130 is a cooking state, the state of the internal air quality of the building may be simulated based on the amount of pollution sources generated according to the type of food being cooked. Also, if the condition selected is a study or sleep state, the state of the internal air quality of the building may be simulated based on the amount of carbon dioxide generated during breathing.

[0133] In addition, in step S140, the state change of the internal air quality of the building according to the calculated ventilation conditions can be predicted by simulation. That is, in step S140, the change of the internal air quality of the building when ventilation is performed based on the calculated ventilation conditions, such as the opening and closing states of each window, the operating states of equipment such as indoor purification and ventilation devices, and the setting values ​​can be simulated.

[0134] Next, based on the simulation result, visual data related to the internal air quality of the building is generated (S150). At this time, the visual data generated in step S150 can be displayed through a display unit or a user terminal.

[0135] In addition, in step S150, visual data showing the change of the state of the internal air quality of the building over time may be generated. At this time, visual data showing the state of the internal air quality of the building based on the change of color may be generated. For example, in step S150, the visual data may be generated to display the change of the state of the internal air quality of the building over time in the form of multiple images or in the form of a video.

[0136] In addition, in step S150, visual data showing the numerical values ​​of pollution sources inside the building may be generated. In this case, the visual data may be generated by displaying the specific numerical values ​​of pollution sources such as fine dust, radon, and TVOC inside the building.

[0137] In step S150, visual data comparing the state of the internal air quality of the building when the purification ventilation device disposed inside the building is not used and when the purification ventilation device is used can be additionally generated. Therefore, the user can visually confirm the effect of the purification ventilation device disposed indoors.

[0138] On the other hand, although Figure 8 Although not shown in the figure, the air quality simulation method according to one embodiment of the present invention may further include the step of transmitting the state information of the internal air quality of the building to the user's terminal. Therefore, the user can also confirm the indoor air quality state in real time through the terminal from the outside.

[0139] In this way, according to the air quality simulation method involved in one embodiment of the present invention, the state of indoor air quality calculated by simulation and the change of air quality over time are visually displayed to the user based on the structure of the building, so that the user can more accurately and easily understand the indoor air quality state.

[0140] Fig. 9 is a flowchart showing an air quality simulation method according to another embodiment of the present invention.

[0141] Reference Fig. 9 , steps S210 to S240 are substantially the same as Figure 8 The same, so the specific description is omitted. Fig. 9 In step S250, the simulation model may be used to calculate ventilation conditions for improving the state of the internal air quality of the building. In this case, in step S250, when the value of the pollution source outside the building is less than a preset reference value, a window may be selected that makes the state of the internal air quality of the building fall within a normal range.

[0142] For example, when the value of the pollution source outside the building is less than the preset reference value, the window that makes the state of the internal air quality of the building fall within the normal range most quickly can be selected. In addition, when the value of the pollution source outside the building is less than the preset reference value, the window that makes the state of the internal air quality of the building fall within the normal range within the preset time can be selected. Therefore, when the concentration of external dust and the like is low and the air quality is good, guidance is provided so that the purification and ventilation device arranged indoors is not used, and the window that can most effectively improve the air quality is opened, thereby saving energy loss.

[0143] In addition, in step S250, the setting value of the purification ventilation device disposed inside the building for making the state of the internal air quality of the building within the normal range can be calculated. In this case, the setting value of the purification ventilation device that makes the state of the internal air quality of the building within the normal range within a preset time can be calculated. Thus, it is possible to efficiently use electricity by providing a setting value that can most efficiently improve the internal air quality of the building even if the user does not switch the mode of the purification ventilation device multiple times.

[0144] On the other hand, although Fig. 9 Although not shown, the air quality simulation method involved in other embodiments of the present invention may also include the step of transmitting the following signal, which uses the setting value based on the ventilation condition calculated in step S250 to open and close the windows of the building (for example, in the case of windows that can be automatically controlled) or drive a purification and ventilation device arranged inside the building.

[0145] In this way, according to the air quality simulation method involved in another embodiment of the present invention, the state of indoor air quality is calculated through simulation based on the structure of the building, and based on this, the optimal ventilation conditions for removing indoor pollution sources are provided, so that users can efficiently improve the state of indoor air quality.

[0146] Fig.10 1 is a block diagram showing the hardware structure of an air quality simulation device according to an embodiment of the present invention.

[0147] Reference Fig.10 An air quality simulation device 10 according to an embodiment of the present invention may include an MCU 12 , a memory 14 , an input / output I / F 16 , and a communication I / F 18 .

[0148] The MCU 12 may be a program for executing various programs (e.g., an air quality calculation simulation program, an air quality state visualization program, a ventilation condition calculation program, etc.) stored in the memory 14, and processes various data for indoor air quality state simulation, visualization, and ventilation condition calculation through these programs, and performs the aforementioned Figure 1 The function of the processor.

[0149] The memory 14 may store various programs for simulating and visualizing indoor air quality and calculating ventilation conditions. In addition, the memory 14 may also store various data such as the internal structure of the building, the air volume of the range hood and the exhaust device, the air leakage amount according to the construction period of the building, and the external air quality data (e.g., fine dust, TVOC, carbon dioxide, etc.).

[0150] Such a memory 14 can be configured in multiple numbers as needed. The memory 14 can be a volatile memory or a non-volatile memory. The memory 14 as a volatile memory can use RAM, DRAM, SRAM, etc. The memory 14 as a non-volatile memory can use ROM, PROM, EAROM, EPROM, EEPROM, flash memory, etc. The examples of the memory 14 listed above are only illustrative and are not limited to these examples.

[0151] The input / output I / F 16 can provide an interface for connecting input devices (not shown) such as a keyboard, a mouse, and a touch panel, output devices such as a display (not shown), and the MCU 12 to enable data transmission / receiving.

[0152] The communication I / F 18 is a structure capable of receiving / sending various data with a server, and may be various devices supporting wired or wireless communication. For example, a program or various data for indoor air quality simulation, visualization, and calculation of ventilation conditions may be received / sent from a separately configured external server via the communication I / F 18.

[0153] Thus, the computer program according to one embodiment of the present invention is recorded in the memory 14 and processed by the MCU 12, thereby, for example, being able to be used as a processor. Figure 1 The modules of each functional block shown are implemented.

[0154] Although it has been described above that all the components constituting the embodiments of the present invention are combined into one or operate in combination, the present invention is not necessarily limited to such embodiments. That is, as long as it is within the scope of the purpose of the present invention, all the components may also be optionally combined into one or more and operate.

[0155] In addition, the terms "including", "consisting of" or "having" described above, unless otherwise specifically stated, mean that the constituent element can be built-in, and should be interpreted as not excluding other constituent elements but also including other constituent elements. All terms including technical or scientific terms have the same meaning as the terms generally understood by those skilled in the art unless otherwise defined. Terms generally used, such as those defined in dictionaries, should be interpreted as being consistent with the meaning in the context of the relevant technology, and should not be ideally or excessively interpreted as formalized unless clearly defined in the present invention.

[0156] The above description is only to schematically illustrate the technical idea of ​​the present invention. If it is a person skilled in the art, various modifications and deformations can be made without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not used to limit the technical idea of ​​the present invention, but are used for explanation, and the scope of the technical idea of ​​the present invention is not limited to these embodiments. The protection scope of the present invention should be interpreted by the claims, and all technical ideas within the equivalent scope should be interpreted as included in the scope of the rights of the present invention.

Claims

1. An air quality simulation device, comprising: A structural data acquisition unit, which acquires structural data of the building; A simulation data acquisition unit, which acquires simulation data for calculating the state of the internal air quality of the building; a condition selection unit that selects at least one condition that affects the state of the internal air quality of the building based on a user input; a simulation unit that simulates the state of the internal air quality of the building using a simulation model that takes as input the structural data of the building, the simulation data, and a selected value of a condition selected by the input of the user; as well as a visualization unit that generates visual data related to the internal air quality of the building based on the simulation results, The simulation data includes the amount of air leakage of the building, which is the amount of air that enters and exits through gaps in the building due to a pressure difference.

2. The air quality simulation device according to claim 1, wherein: The simulation data further includes the air volume of an exhaust device disposed in the building.

3. The air quality simulation device according to claim 2, wherein: The air volume of the exhaust device includes the air volume generated by a range hood and a diffuser installed inside the building.

4. The air quality simulation device according to claim 2, wherein: The air leakage amount of the building is a value acquired based on air leakage amount data at the time of construction of the building.

5. The air quality simulation device according to claim 2, wherein: The air leakage amount of the building is a value obtained by measuring the air leakage amount of the windows and entrances and exits of the building.

6. The air quality simulation device according to claim 2, wherein: The air leakage amount of the building is based on a value acquired according to the wind direction and wind speed at the location of the building.

7. The air quality simulation device according to claim 1, wherein: The conditions selectable by the condition selection unit include conditions related to time, weather, outside air quality, and indoor conditions.

8. The air quality simulation device according to claim 1, wherein: The visualization unit generates visual data representing a change in state of the internal air quality of the building over time.

9. The air quality simulation device according to claim 1, wherein: The visualization unit generates visual data that displays a state of internal air quality of the building based on a change in color.

10. The air quality simulation device according to claim 1, wherein: The visualization unit generates visual data indicating numerical values ​​of pollution sources inside the building.

11. The air quality simulation device according to claim 1, wherein: The visualization unit generates visual data for comparing the state of air quality inside the building when the clean ventilation device disposed inside the building is not used and when the clean ventilation device is used.

12. The air quality simulation device according to claim 1, wherein: The simulation unit simulates the state of the internal air quality of the building based on the amount of pollution source generated according to the type of food being cooked, when the condition selected by the condition selection unit is a cooking condition.

13. The air quality simulation device according to claim 1, wherein: The simulation unit simulates the state of the internal air quality of the building based on the amount of carbon dioxide generated during breathing when the condition selected by the condition selection unit is a study or sleep condition.

14. The air quality simulation device according to claim 13, wherein: The simulation section calculates a state of the internal air quality of the building based on an average carbon dioxide emission amount according to age.

15. The air quality simulation device according to claim 1, wherein: The system further comprises: a communication unit, which transmits the state information of the internal air quality of the building obtained by the simulation unit to the user's terminal.

16. The air quality simulation device according to claim 1, wherein: The system further includes a storage unit for storing the structural data of the building, the simulation data, and data related to the conditions.

17. An air quality simulation method comprising: Steps to obtain structural data of a building; The step of acquiring simulation data for calculating the state of the internal air quality of said building; The step of selecting at least one condition affecting the state of the internal air quality of the building based on a user input; A step of simulating the state of the internal air quality of the building using a simulation model that takes as input the structural data of the building, the simulation data, and a selected value of a condition selected by an input of the user; as well as the step of generating visual data related to the interior air quality of the building based on the results of the simulation, The simulation data includes the amount of air leakage of the building, which is the amount of air that enters and exits through gaps in the building due to a pressure difference.

Citation Information

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