KR102552354B1 - Smart Control Method of Wet Air Purifier - Google Patents

Abstract

The present invention relates to a smart control method for a wet air purifier, and in an embodiment of the present invention, wet air purifier performed in an air purifier control system including a server and a wet air purifier connected to a network and communicating with each other A smart control method of a device, comprising: (a) performing artificial intelligence learning of the wet air purifying device; (b) measuring the liquid contamination level of the washer fluid in the wet air purifier and collecting water quality data including the measured liquid contamination level; (c) deriving an air pollution estimation value using the measured value and/or the variation of the liquid pollution; and (d) controlling an operating condition of the wet air purifying device including at least one of an air purifying speed, an air purifying level, and power consumption in real time according to the estimated air pollution degree. Provides a control method.

Description

Smart control method of wet air purifier {Smart Control Method of Wet Air Purifier}

The present invention relates to a smart control method for a wet air purifier, and more particularly, to a smart control method for a wet air purifier for estimating the amount of fine dust in the air through a change in water quality in a wet air purifier in which water is not sprayed. it's about

As we enter a modernized society, the amount of fine dust in the air increases rapidly due to various complex problems that pollute the air, such as industrial dust, automobile fumes, and yellow dust. As the number of days increases, it interferes with daily life and adversely affects people's health due to heavy metals contained in fine dust.

In addition, if it is opened to ventilate dust or carbon dioxide scattered during indoor activities in the home, fine dust containing heavy metals in the air is introduced into the air, reducing the air quality of the indoor space, resulting in asthma and allergies. The number of bronchial patients such as bronchitis and pneumonia increases, and it is difficult to ventilate at home with peace of mind because it causes health problems for sensitive people such as young children and bronchial patients with immature physical growth.

Accordingly, dust dispersed in the indoor air or fine dust including heavy metals introduced from the outside, dust, dust mites, mold, viruses, and other harmful substances are collected to purify the polluted indoor air and discharge clean air to create a pleasant environment. Various types of air purifiers that can do this have been released and commercialized.

Existing air purifiers measure the amount of fine dust prior to purifying polluted indoor air, and operate by adjusting the amount of air intake and air discharge according to the measured amount of fine dust. At this time, most air purifiers use a light scattering type fine dust meter to measure the amount of fine dust.

The light scattering type fine dust meter estimates the size and number of dust by light scattering. Scattering also occurs by moisture, so a large error occurs due to humidity, and when dust is adsorbed or contaminated on the light emitting part and the light receiving part, The accuracy of the measuring instrument is rapidly degraded, and there is a limit requiring frequent cleaning management.

Korean Registered Patent No. 101881135

A technical problem to be solved by the present invention is to provide a smart control method for a wet air purifier that measures the degree of contamination of air by using the fact that water quality deteriorates and turbidity increases as air is purified using water.

The technical problem to be achieved by the present invention is not limited to the above-mentioned technical problem, and other technical problems not mentioned can be clearly understood by those skilled in the art from the description below. There will be.

In order to achieve the above technical problem, in an embodiment of the present invention, in a smart control method for a wet air purifier performed in an air purifier control system including a server and a wet air purifier connected to a network and communicating with each other. , (a) performing artificial intelligence learning of the wet air purifier; (b) measuring the liquid contamination level of the washer fluid in the wet air purifier and collecting water quality data including the measured liquid contamination level; (c) deriving an air pollution estimation value using the measured value and/or the variation of the liquid pollution; and (d) controlling an operating condition of the wet air purifying device including at least one of an air purifying speed, an air purifying level, and power consumption in real time according to the estimated air pollution degree. Provides a control method.

In an embodiment of the present invention, in the step (a), (a-1) detecting an air pollution measurement value by measuring an initial air pollution level in an airtight space; (a-2) detecting a liquid contamination measurement value by measuring an initial liquid contamination degree of the wet air purifier; (a-3) collecting the amount of change in the measured air pollution level and the amount of change in the measured liquid pollution level according to the operating time of the wet air purifying device and storing them as learning data; and (a-4) performing artificial intelligence learning of the wet air purifying device using the learning data.

In an embodiment of the present invention, in the step (a-2), the water quality measurement unit of the wet air purifier may measure the water quality of the washer fluid in at least one of TDS (total dissolved solids) and electrical conductivity. .

In an embodiment of the present invention, in the step (a-3), the server receives location information and liquid information from the user or the wet air purifier, and reflects the received location information and liquid information to generate learning data However, the location information may include the location where the wet air purifying device is installed, and the liquid information may include the type of liquid used in the wet air purifying device.

In an embodiment of the present invention, the server receives at least one of weather information related to location information and water quality information related to liquid information from an external weather information providing device and a water quality information providing device, respectively, and the weather information and the water quality information. It is possible to correct the amount of change in the measured value of air pollution and/or the amount of change in the measured value of liquid pollution in the learning data collected by reflecting at least one of the water quality information.

According to an embodiment of the present invention, the degree of contamination of air can be measured using the fact that water quality deteriorates and turbidity increases as air is purified using water.

In particular, the existing light scattering fine dust measurement technology has high accuracy at the initial stage of installation, but there is a problem that contamination of the emitter and receiver due to dust adsorption and humidity occurs easily and the accuracy rapidly decreases in proportion to the period of use. was difficult to maintain. On the other hand, the water quality measurement method in a wet air purifier in which water is not sprayed has a small decrease in accuracy over time compared to light scattering fine dust measurement technology, easy maintenance of sensor performance, and easy maintenance of relatively high accuracy. it is possible In a wet air purifier in which air pollutants are introduced into water and no water is sprayed, since the introduced pollutants are not re-dispersed into the air, air quality can be safely and more accurately estimated. Therefore, when the wet air purifier that does not spray water is fused with the air quality estimation technology through water quality, great synergy is brought about in terms of performance and user convenience. In addition to air quality estimation AI using water quality, AI learning updates and smart control learning through cloud services can improve user convenience and energy efficiency to realize a low-carbon, smart home. In addition, it can lead the future market with a new type of popular indoor air quality monitoring technology.

The effects of the present invention are not limited to the above effects, and should be understood to include all effects that can be inferred from the detailed description of the present invention or the configuration of the invention described in the claims.

1 is a diagram showing the configuration of an air purifier control system according to an embodiment of the present invention.
2 is a flowchart illustrating a smart control method of a wet air purifying device according to an embodiment of the present invention.
3 is a flowchart illustrating the execution of artificial intelligence learning according to an embodiment of the present invention.
4 is a perspective view of a wet air purifying device according to an embodiment of the present invention.
5 is an exploded view of a wet air purifier cover according to an embodiment of the present invention.
6 is an exploded view of the lower part of the main body of the wet air purifier according to an embodiment of the present invention.
7 is a schematic view of the inside of a wet air purifying device including a guide unit according to an embodiment of the present invention.

Hereinafter, the present invention will be described with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and, therefore, is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected (connected, contacted, combined)" with another part, this is not only "directly connected", but also "indirectly connected" with another member in between. "Including cases where In addition, when a part "includes" a certain component, it means that it may further include other components without excluding other components unless otherwise stated.

Terms used in this specification are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "include" or "have" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

The wet air purifier described in the present invention may be defined as an air purifier that purifies air using liquid without spraying liquid.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram showing the configuration of an air purifier control system according to an embodiment of the present invention. 2 is a flowchart illustrating a smart control method of a wet air purifying device according to an embodiment of the present invention. 3 is a flowchart illustrating the execution of artificial intelligence learning according to an embodiment of the present invention. 4 to 7 are views for explaining a wet air purifying device according to an embodiment of the present invention.

1 and 2, a smart control method for a wet air purifier according to an embodiment of the present invention includes a wet air purifier 30 and a server ( 40), which is performed in the wet air purifier control system 10, but performs artificial intelligence learning of the wet air purifier 30 (S100), liquid contamination degree of washer fluid (liquid) in the wet air purifier Measuring (water quality) and collecting water quality data including liquid pollution measurement values (S200), deriving an air pollution estimation value using the liquid pollution measurement values and/or changes thereof (S300), and The method may include controlling an operating condition of the wet air purifying device including at least one of an air purifying speed, an air purifying level, and power consumption in real time according to the estimated air pollution degree (S400).

Specifically, in step S100, in order to learn artificial intelligence of the wet air purifier 30, measuring the initial air pollution in an enclosed space and detecting the air pollution measurement value (S110), the wet air purifier 30 Measuring the initial liquid pollution level and detecting the liquid pollution level measurement value (S120), collecting the amount of change in the measured air pollution level and the amount of change in the measured level of liquid pollution according to the operating time of the wet air purifier 30 It may include storing as learning data (S130), and performing artificial intelligence learning of the wet air purifying device 30 using the learning data (S140).

In step S110, it is possible to measure the initial air pollution level in the closed space using the air pollution level measurement means. At this time, the air pollution measuring means may be provided in the wet air purifying device 30 or a separate device may be used. For example, the air pollution measuring means may measure the initial fine dust concentration within a measurement range of about 10 to about 500 μg/m 3 .

In step S120, the user can measure the initial liquid contamination level using the wet air purifier 30. At this time, the wet air purifier 30 may measure the liquid contamination (water quality) in a preset manner. Here, when the wet air purifying device 30 according to an embodiment of the present invention is described in detail, as shown in FIGS. It may include a unit 200, a discharge unit 300, a rotation unit 400 and a water quality measurement unit 800.

Specifically, the main body portion 100 is a storage portion that contains a liquid for purifying incoming air therein, and has an open top so that a user can inject the liquid and has a separate cover 140 that can cover it. structure can be formed. In addition, an accommodation groove 410 may be formed on the lower surface of the main body 100 at a central position so that the rotation unit 400 to be described below may be accommodated, and the remaining lower surface may be formed in a closed form.

At this time, in the case of the receiving groove 410, it may be formed in a shape such as a protrusion of a cylindrical shape protruding upward. In this case, the receiving groove 410 may be located on the lower surface of the rotating part 400 to be described later. In this way, as the liquid is accommodated at the lower end of the main body 100, the dust collection efficiency can be increased even if the external swirling flow 211 to be described later is not strong, and an air purifier with low noise can be configured.

In one embodiment, the main body part 100 installs the rotating part 400 at a position away from the bottom of the main body part 100 at a certain height or more, and in the space between the bottom of the main body part 100 and the rotating part 400 It may include a settling structure by centrifugal separation, a filter, a sieve, or a liquid exchanger. Also, in another embodiment, the main body part 100 may additionally form a discharge sill or structure in which water does not spill when an extreme shock is applied to the oil filter or the product or when the product is turned upside down.

The intake unit 200 may be located on one side of the body unit 100 to form a passage through which external air is sucked into the body unit 100 . In addition, the suction part 200 may be located on one side of the upper part of the main body part 100 . However, the suction part 200 should be located above the height of the liquid accommodated at the lower end of the main body part 100. The intake unit 200 may include a separate accelerator 210 to increase the intake speed of the intake air so that the intake air can generate an air vortex inside the main body unit 100 . For example, the accelerator 210 may include an air intake device such as a turbo fan or a compressor, and may be disposed inside or on one side of the intake unit 200 .

The discharge unit 300 may be configured in various forms, and may be located at a set position of the body unit 100 and may form a passage through which air drawn from the body unit 100 is discharged. Here, the discharge unit 300 may include a drawing air filter 310 that is detachable or integrally coupled. Here, the drawn-out air filter 310 is an air filter structure capable of purifying residual particles in the drawn-out air that form an air vortex (hereinafter referred to as 'internal swirling flow 311') moving from the lower side of the main body 100 to the upper side. It refers to and may be formed in a cylindrical structure. In addition, the drawn-out air filter 310 may be detachably coupled to the guide unit 500, and may be various types of filters (dehumidifying, oil, HEPA, etc.). In addition, the electromagnetic field forming unit 110 may be coupled to the lower end of the intake air filter 310 .

The electromagnetic field generator 110 may form an electromagnetic field that affects air. The electromagnetic field generator 110 includes a magnetic material 111 including a wire, a permanent magnet, an electromagnet (using a ferromagnetic magnetic core in a coil, solenoid, or toroidal inductor), a coil, a solenoid, an inductor, a zero electromagnet, a variable magnet, and the like. can be provided

The rotation unit 400 is located on a lower portion of the body unit 100 and may include a device (ex. a motor including a fan) for rotating the liquid. Here, one or more rotating parts 400 are located in the liquid of the body part 100 to vortex the liquid accommodated in the body part 100, and generate an external swirling flow by the inlet pressure of the suction part 200. It is possible to increase the contact area per unit time with the incoming air. Through this, the rotating part 400 can improve air purification efficiency by making particles such as impurities, fine dust, and heavy metals contained in the incoming air collected in the liquid.

The water quality measuring unit 800 is located on a side surface or a part of the lower side of the main body unit 100 and may measure the water quality of the liquid by using at least one of TDS (total dissolved solids) and electrical conductivity.

Again, in step S130, the server 40 may collect (receive) the amount of change in the measured air pollution level and the amount of change in the measured liquid pollution level from the wet air purifier 30 and store them as learning data. In addition, the server 40 measures the initial air pollution level measurement value, the initial liquid pollution level measurement value from at least one of the air pollution level measuring unit and the wet air purifying device 30, and the air volume, function and operation of the wet air purifying device 30 Learning data may be stored by further collecting time, measured values of air pollution over time, measured values of liquid pollution over time, and the like.

Specifically, the server 40 may receive location information and liquid information from a user or the wet air purifier 30, and correct learning data by reflecting the received location information and liquid information. In this case, the location information may include the user's residence, for example, the location where the wet air purifier 30 is installed. In addition, the liquid information may include the type of washer fluid (liquid) used in the wet air purifying device 30, for example, the type of liquid such as tap water and bottled water.

In addition, the server 40 may receive at least one of weather information related to location information and water quality information related to liquid information from an external weather information providing device (not shown) and a water quality information providing device (not shown). For example, the server 40 receives meteorological information including the level of fine dust in the air at the location where the wet air purifying device 30 is installed, and obtains water quality information of tap water used in the wet air purifying device 30 can receive

The server 40 may correct the amount of change in the measured value of air pollution and/or the amount of change in the measured value of liquid pollution in the learning data collected by reflecting at least one of weather information and water quality information. For example, the server 40 compares the air pollution measurement value of the collected learning data with the fine dust level confirmed from the meteorological information, and as a result of the comparison, measures the air pollution level at the location where the wet air purifier 30 is installed The accuracy of the air pollution measurement means may be corrected by more accurately determining the accuracy and correcting a certain portion of the change in the air pollution measurement value according to the determined air pollution measurement accuracy. In addition, the server 40 compares the liquid pollution level measurement value of the collected learning data with the water quality information of tap water confirmed from the water quality information, and as a result of the comparison, the liquid pollution level of the washer fluid used in the wet air purifier 30 is measured The accuracy of the water quality measuring unit 800 may be corrected by more accurately determining the accuracy and correcting a certain portion of the variation of the liquid contamination measurement value according to the determined measurement accuracy of the liquid contamination degree.

In step S140, the wet air purifier 30 may receive learning data from the server 40 and perform artificial intelligence learning by using (matching) various types of data of the received learning data. In addition, the wet air purifier 30 may receive updated learning data by communicating with the server 40 at a set time and/or period, and perform relearning of artificial intelligence using the updated learning data. .

In step S200, the wet air purifier 30 may measure the liquid contamination level of the washer fluid in real time and collect water quality data including the measured liquid contamination level value and/or the change amount. At this time, the wet air purifier 30 may further include liquid information and/or water quality information received from the user and/or the server 40 .

In step S300, the wet air purifier 30 may derive an air pollution estimation value using the measured liquid pollution level of the water quality data and/or the amount of change thereof. Here, the wet air purifying device 30 may purify the air for a set time, as shown in FIG. That is, the wet air purifier 30 may convert the measured value of the liquid pollution level of the washer liquid into an estimated air pollution level value by using the increased liquid pollution level of the washer liquid by the reduced air pollution level.

In step S400, the wet air purifying device 30 may control operating conditions of the wet air purifying device including at least one of an air purifying speed, an air purifying level, and power consumption according to the air pollution estimation value in real time. . For example, the wet air purifying device 30 may perform real-time smart control in the direction of increasing the air purifying speed and air purifying level and reducing power consumption. However, the present invention is not limited thereto, and the server 40 may communicate with the wet air purifier 30 to control operating conditions of the wet air purifier 30 in real time.

As described above, the smart control method of the wet air purifier according to an embodiment of the present invention measures water quality, matches the amount of change in measured water quality and the amount of actual fine dust change, and learns artificial intelligence. When only the measured value of water quality is given, artificial intelligence Through this, it is possible to perform a core algorithm that estimates and derives the level of fine dust. In addition, in the smart control method of the wet air purifier according to an embodiment of the present invention, dust in the air moves into the water by linking the wet air purifier 30 and the air purifier control system 10 to It can be confirmed that the amount of dust in the water increases in proportion to the decrease in dust, and the estimated value of the fine dust level can have high accuracy in an environment where bacterial growth is suppressed.

According to an embodiment of the present invention, the degree of contamination of air can be measured using the fact that water quality deteriorates and turbidity increases as air is purified using water.

The above description of the present invention is for illustrative purposes, and those skilled in the art can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be interpreted as being included in the scope of the present invention.

10: Wet air purifier control system
20: Network
30: wet air purifier
40: server
100: body part
110: electromagnetic force forming unit
111: magnetic body (permanent magnet, electromagnet)
130: internal filter
140: cover
200: inlet
210: accelerator
211: external swirl flow
300: discharge unit
310: intake air filter
311: internal swirl flow
400: rotating part
410: receiving groove
500: guide unit

Claims (5)

In the smart control method of a wet air purifier performed in an air purifier control system including a server and a wet air purifier connected to a network and communicating with each other,
(a) performing artificial intelligence learning of the wet air purifier;
(b) measuring the liquid contamination level of the washer fluid in the wet air purifier and collecting water quality data including the measured liquid contamination level;
(c) deriving an air pollution estimation value using the measured value and/or the variation of the liquid pollution; and
(d) controlling an operating condition of the wet air purifying device including at least one of an air purifying speed, an air purifying level, and power consumption according to the air pollution estimation value in real time;
Including,
In step (a),
(a-1) detecting an air pollution measurement value by measuring an initial air pollution level in an enclosed space;
(a-2) detecting a liquid contamination measurement value by measuring an initial liquid contamination degree of the wet air purifier;
(a-3) collecting the amount of change in the measured air pollution level and the amount of change in the measured liquid pollution level according to the operating time of the wet air purifying device and storing them as learning data; and
(a-4) performing artificial intelligence learning of the wet air purifier using the learning data;
Characterized in that it comprises, a smart control method of the wet air purifier.
delete According to claim 1,
In the step (a-2),
The smart control method of the wet air purifier, characterized in that the water quality measurement unit of the wet air purifier measures the water quality of the washer fluid in at least one of TDS (total dissolved solids) and electrical conductivity.
According to claim 1,
In the step (a-3),
The server receives location information and liquid information from the user or the wet air purifier, and corrects the learning data by reflecting the received location information and liquid information,
The location information includes a location where the wet air purifier is installed,
The liquid information includes a type of liquid used in the wet air purifying device.
According to claim 4,
The server,
Receiving at least one of weather information related to location information and water quality information related to liquid information from an external weather information providing device and a water quality information providing device, respectively;
A smart control method for a wet air purifying device, characterized in that for correcting the amount of change in the measured value of air pollution and / or the amount of change in the measured value of liquid pollution in the learning data collected by reflecting at least one of the meteorological information and the water quality information .

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