KR20200016080A - A method for selecting an optimal position of a dust filter and a method for removing fine dust using the same - Google Patents

Abstract

According to the present invention, provided are a method for selecting an optimal position of a dust collecting filter and a method for removing fine dust using the same. The method for selecting an optimal position of a dust collecting filter comprises a fine dust observation step, a meteorological observation step, a terrain feature observation step, a modeling step, and a dust collecting filter positioning step to target an effective space in a targeted geospatial space where fine dust has a substantial effect on a human body, and selectively effectively reduce the fine dust in the effective space, so as to minimize the energy and cost required to remove the fine dust while reducing the fine dust in the effective space in the targeted geospatial space with high efficiency.

Description

A method for selecting an optimal position of a dust filter and a method for removing fine dust using the same}

The present invention relates to a method for selecting an optimal position of a dust collecting filter and a method for removing fine dust using the same.

Fine dust refers to particulate matter having a fine size contained in the atmosphere, and is mostly emitted from the combustion of fossil fuels, soot from automobiles, and exhaust gases from factories. Usually, when the diameter is 10 ㎛ or less, it is classified as fine dust, and when it is 2.5 ㎛ or less, it is classified as ultra fine dust.

Specifically, the Ministry of Environment, Republic of Korea, among the sources of fine dust 30% to 50% of foreign influences, 60% to 80% at high concentrations, 29% for diesel cars in the metropolitan area and 41% for plants such as factories nationwide. The highest proportion was analyzed.

Overseas, fine dust pollution originating from Beijing is affecting the Korean Peninsula, and international cooperation between Korea and China is intensifying as well. Is being studied.

As a method for reducing air pollution due to such fine dust, a method of creating an indoor environment in which fine dust has been removed is typically used by suppressing discharge of fine dust itself or by purifying fine dust indoors. However, there are limitations in the post-treatment apparatus of an internal combustion engine for suppressing the discharge of fine dust itself and the method of purifying indoor air. In particular, ultrafine dust from neighboring countries accounts for a considerable amount of fine dust in the domestic atmosphere, and there is no mass distribution technology for improving air quality by directly reducing fine dust in the atmosphere.

KR10-2018-0080803A (2018.07.13)

SUMMARY OF THE INVENTION An object of the present invention is to provide a method of selecting an optimal position of a dust collecting filter that can effectively reduce fine dust in an effective geographic space by selectively targeting effective space in a target geographic space in which fine dust substantially affects the human body. It is.

Another object of the present invention is to provide a method for selecting an optimal position of the dust collecting filter that can reduce the fine dust in the effective space with high efficiency while minimizing the energy and cost required to remove the fine dust in the effective space in the topographical space. will be.

Another object of the present invention is to provide a method for removing fine dust using the dust collecting pulp selected as the optimum position.

The method for selecting an optimal position of the dust collecting filter according to the present invention relates to a method for selecting an optimal position of a dust collecting filter in a target topographic space including a plurality of structures, and to a particle size and concentration of fine dust in the target topographic space. Fine dust observation step (S100) of collecting fine dust information; Meteorological observation step (S200) for collecting meteorological observation information on the wind direction and speed at any location in the target geographic space; Feature observation step (S300) of collecting feature information on the location of the structure in the target geographic space; A modeling step (S400) of receiving the fine dust information, the meteorological observation information, and the feature information, and then predicting the concentration of the fine dust according to the location in the target geographic space; And a dust collecting filter position selecting step (S500) for selecting a position of the dust collecting filter to be installed from the information on the concentration and direction of the fine dust according to the predicted position in the modeling step.

In one embodiment of the present invention, the fine dust observation step (S100), the meteorological observation step (S200), the feature observation step (S300), the modeling step (S400) and the dust collecting filter positioning step (S500) It can be repeated by defining the unit simulation, and the dust collecting filter position selection step (S500), by repeatedly performing the unit simulation to select the optimal position of two or more dust filters in sequence, The method may include selecting an optimal position of the next dust collecting filter by reflecting the information corrected by the dust collecting filter first installed.

In one example of the present invention, the corrected information may be a corrected value for information including any one or more selected from among the fine dust information, the weather observation information, and the feature information.

In one example of the present invention, the corrected fine dust information may be a value corrected as the concentration of fine dust reduced by a dust filter that is previously selected and installed.

In one example of the present invention, the corrected meteorological observation information may be a value corrected as the wind direction and the modified speed modified by the previously selected and installed dust collecting filter.

In one example of the present invention, the corrected feature information may be a value corrected as the feature information modified by a dust collecting filter previously selected and installed.

In one embodiment of the present invention, the weather observation information may be statistical weather observation information according to the cumulative period of the target geospatial space received from the outside.

In one example of the present invention, the prediction of the modeling step (S400) may be performed as a discrete particle model (Discrete Phase Model, DPM) using Computational Fluid Dynamics (CFD).

In one embodiment of the present invention, in the dust collecting filter positioning step (S500), the installation direction of the dust collecting filter may be a direction opposite to the direction of the fine dust.

In one example of the present invention, the target geospatial space includes a structure in which a plurality of structures are spaced apart from each other to form a row and a column, and are disposed to face each other so that the neighboring rows and the neighboring columns do not deviate. A first structure; A second structure including a structure in which a plurality of structures are spaced apart from each other to form a row and a column, and a structure in which neighboring rows are shifted from each other; A third structure including a structure in which a plurality of structures are spaced apart from each other to form a row and a column, and the neighboring columns are shifted from each other; And a fourth structure including a structure in which a plurality of structures are spaced apart from each other and formed in rows and columns, and the rows and columns adjacent to each other are shifted from each other. It may include any one or two or more structures selected from.

The method for removing fine dust according to the present invention may be a method for removing fine dust using a dust collecting filter installed as a method for selecting an optimal position of the dust collecting filter. The method for removing fine dust may include: a) selecting the dust collecting filter; Installing a dust collecting filter at a position selected in S500; b) transmitting data including the fine dust information and the meteorological observation information to a server; And c) controlling, at the server, to operate the dust collecting filter when the fine dust concentration in the target geographic space exceeds a predetermined threshold concentration based on the data. The filter is installed on an outer surface of one or more structures, and may be installed at a position above a critical height from the bottom surface of the structure.

The method for selecting an optimal position of the dust collecting filter and the method for removing the fine dust using the same according to the present invention effectively target the effective space in the topographical space in which the fine dust has a great effect on the human body, and selectively remove the fine dust in the effective space. By reducing, it is possible to minimize the energy and cost required to remove the fine dust, it is possible to reduce the fine dust in the effective space in the target geospatial space with high efficiency.

Even if the effects are not explicitly mentioned in the present invention, the effects described in the specification and the inherent effects expected by the technical features of the present invention are treated as described in the specification of the present invention.

1 is a conceptual diagram schematically illustrating a method for selecting an optimal position of a dust collecting filter according to an embodiment of the present invention.
2 to 3 are diagrams schematically showing a method of removing fine dust using the method of selecting an optimal position of the dust collecting filter according to an embodiment of the present invention.
4 is a conceptual diagram schematically illustrating first to fourth structures according to an embodiment of the present invention.
FIG. 5 illustrates the modeling step (S400) as a discrete phase model (DPM) using computational fluid dynamics (CFD), and results of concentration of fine dust according to location. It is shown. In this case, (a) of FIG. 5 is a case in which there is no structure, and (b) is a case in which there is a structure, and the concentration of fine dust particles decreases from red to blue.
FIG. 6 illustrates a diffusion scenario for the first structure of FIG. 4. FIG. 6 is a conceptual diagram schematically illustrating a wind direction, a dust collecting filter, and a particulate matter data extraction position flowing out of a structure.
FIG. 7 is a modeling result according to the diffusion scenario of FIG. 6, by using computational fluid dynamics (CFD) to perform the prediction of the modeling step (S400) as a discrete phase model (DPM). It is shown. In this case, (a) of FIG. 7 is a case where there is no dust collecting filter, (b) is a case where 13 dust collecting filters are installed, and the concentration of fine dust particles decreases from red to blue.
FIG. 8 illustrates the number of particles introduced into and out of a structure in the modeling result of FIG. 7.

Hereinafter, a method of selecting an optimal position of a dust collecting filter and a method of removing fine dust using the same will be described in detail with reference to the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS The drawings described herein are provided by way of example so as to fully convey the spirit of the invention to those skilled in the art. Accordingly, the present invention is not limited to the drawings presented, but may be embodied in other forms, and the drawings may be exaggerated for clarity.

Unless otherwise defined in the technical and scientific terms used herein, it has the meaning commonly understood by those of ordinary skill in the art to which the invention belongs, and the gist of the invention in the following description and the accompanying drawings. Descriptions of well-known functions and configurations that may unnecessarily obscure are omitted.

As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the specification indicates otherwise.

The method for selecting an optimal position of the dust collecting filter according to the present invention is to efficiently reduce fine dust in the effective space requiring substantial reduction of fine dust in the target topographic space, and to collect the dust in the target topographic space including a plurality of structures. It relates to a method of selecting the optimum position of the filter.

Wherever possible, it is advisable to reduce fine dust in all spaces, but in reality the cost and time required to reduce fine dust is very limited, so that effective space, e. It is very desirable from the energy point of view to reduce fine dust in the effective space in the target topographical space such as a dense space.

Therefore, in the method for optimal position selection of the dust collecting filter according to the present invention, the dust collecting filter is installed in the target topographical space, and by reducing the fine dust concentration in the effective space which is a part of the target topographical space, high efficiency with low energy and cost It is possible to select the optimum position of the dust collecting filter to reduce the fine dust. Furthermore, in the present invention, it is possible to provide a method for removing fine dust using the method for optimally selecting the dust collecting filter.

As used herein, 'target geospatial space' includes one or two or more structures formed on the lower surface (ground surface) of the space in a vertical direction or a direction close to the vertical direction, and includes an effective space for which the reduction of fine dust concentration is substantially required. do.

As used herein, the term 'structure' generally refers to a building such as a shopping mall, an apartment, an officetel, or the like, but in addition, a wind direction or the like including street lamps, power poles, traffic lights, guard rails, billboards, and guide plates Any obstacle that can affect speed is not limited. For example, when the structure is an apartment, the target geographic space may be an area including a plurality of apartments, and may mean an area partitioned by forming a predetermined boundary by arranging a plurality of apartments. Accordingly, the effective space in the target topographical space may be interpreted including the living space between the apartment and the apartment. As a non-limiting example, the living space may refer to a space where a substantial probability that fine dust is introduced into a human lung exists.

Hereinafter, a method of selecting an optimal position of the dust collecting filter according to the present invention will be described in detail.

Method for selecting the optimal position of the dust collecting filter according to the present invention, fine dust observation step of collecting fine dust information on the particle size and concentration of the fine dust in the target geospatial space (S100); Meteorological observation step (S200) for collecting meteorological observation information on the wind direction and speed at any location in the target geographic space; Feature observation step (S300) of collecting feature information on the location of the structure in the target geographic space; A modeling step (S400) of receiving the fine dust information, the meteorological observation information, and the feature information, and then predicting the concentration of the fine dust according to the location in the target geographic space; And a dust collecting filter position selecting step (S500) for selecting a position of the dust collecting filter to be installed from the information on the concentration and direction of the fine dust according to the predicted position in the modeling step.

The fine dust observation step (S100) is a step of collecting fine dust information including information on the fine dust itself and the content, that is, information about the concentration of the fine dust present in each unit volume. The information on the fine dust itself may include information on the particle size of the fine dust, the type of fine dust, and the like. Therefore, through the fine dust observation step (S100) it is possible to obtain information on the concentration of the material defined as fine dust, that is, the fine dust concentration. Specific means and methods for measuring the fine dust information is well known and can be referred to.

'Fine dust' referred to in the present specification may be defined as fine particles having a particle size of 10 μm or less, but fine dust may be defined by appropriately adjusting the particle size according to the environment and required purposes, and thus, definition of fine dust There is no particular limitation on. As a specific example, commonly referred to as fine dust may mean a fine particle having a particle diameter of 10 ㎛ or less, specifically 2.5 to 10 ㎛, microparticles of 2.5 ㎛ or less may be referred to as ultrafine dust.

The meteorological observation step (S200) is a step of collecting meteorological observation information on the wind direction and speed of the wind in the unit area in the target geographic space. When the wind containing fine dust enters the target geographic space, the wind including the fine dust is affected by the wind direction and the wind speed in the unit area in the target geographic space. Accordingly, by collecting meteorological observation information on the wind direction and wind speed blowing at each location, it is possible to more accurately predict the concentration of fine dust according to the location in the target geospatial space in the modeling step (S400). Specific means and methods of collecting meteorological information are well known and can be referred to.

The feature observation step (S300) is a step of collecting feature information on a structure in a unit area in a target geographic space. Wind entering the unit area in the topographical space is affected by the surrounding structure that acts as an obstacle, and the wind direction and the wind speed change. Therefore, by collecting the feature information of each position, it is possible to more accurately predict the concentration of the fine dust according to the position in the target geographic space in the modeling step (S400). Specific means and methods of collecting feature information are well known and can be referred to.

The modeling step (S400) is a step of predicting the concentration of the fine dust for the unit location in the target geographic space, based on the fine dust information, weather observation information and the feature information collected from each step. The prediction of the modeling step S400 may be performed based on the fine dust information, the weather observation information, and the feature information through various prediction algorithms. As a preferred example, it may be performed as a discrete phase model (DPM) using Computational Fluid Dynamics (CFD). However, there are various known algorithms for predicting the concentration of particles.

As shown in Figure 1, based on the fine dust information collected from the fine dust observation step (S100), the meteorological observation step (S200) and the feature observation step (S300), weather observation information and feature information In step S500, the dust collecting filter is selected at the optimal position of the dust collecting filter through the modeling step S400. At this time, based on the result of estimating the concentration of the fine dust with respect to the unit position in the target geospatial space, the position of the dust collecting filter that can efficiently collect the fine dust, that is, the concentration of the fine dust is the most It can be selected as the location expected to be high.

When two or more dust collecting filters are installed in the target geographic space, the wind direction and speed of the wind including the fine dust blowing to the dust collecting filter installed at the rear side are based on the direction in which the wind containing the fine dust blows. It can be changed by the installed dust collecting filter. Specifically, the dust collecting filter installed in the front not only affects the wind direction and speed of the wind as the dust collecting filter itself serves as an obstacle, but also affects the fine dust concentration as the dust collecting filter collects fine dust. The reliability of the result predicted at S400 is lowered. This change becomes larger as the number of dust collecting filters increases. This is a factor that increases the probability that the information obtained in the initial optimal positioning step (S500) is not substantially the optimal position with respect to the rear dust collecting filter.

Therefore, as a plurality of dust collecting filters are installed, the dust collecting filter is installed at the rear through a means to be described later to correct and reflect in real time information including fine dust information, weather observation information, and / or feature information. The optimum position of the dust collecting filter can be selected.

As a means for correcting and reflecting the fine dust information changed by the dust collecting filter in real time, the fine dust observation step (S100), the meteorological observation step (S200), the feature observation step (S300), the modeling step ( S400) and the dust collecting filter positioning step S500 may be defined as a unit simulation and may be repeatedly performed. In the dust collecting filter position selection step (S500), the unit simulation is repeatedly performed to sequentially select an optimal position of two or more dust collecting filters, and reflects the information corrected by the dust collecting filter first installed at the optimum position. The method may include selecting an optimal position of the dust collecting filter. As shown in Fig. 1, the information is changed by the dust collecting filter by reflecting the optimum position of the dust collecting filter to be installed next as information corrected by the dust collecting filter installed before and reselecting it based on the reflected result. You can overcome the problem.

That is, the corrected information may be a corrected value for information including any one or more selected from the fine dust information, the weather observation information, and the feature information. Specifically, the corrected fine dust information may be a value corrected as the concentration of the fine dust reduced by the dust collecting filter previously selected and installed, and corrected as the wind direction and the modified speed modified by the dust collecting filter previously selected and installed. The corrected feature information may be a value corrected as feature information modified by a dust collecting filter previously selected and installed.

The means for correcting and reflecting the fine dust information changed by the dust collecting filter in real time will be described in detail as an embodiment. By performing the unit simulation for the first time to select the optimal position of the first dust collecting filter in the target geospatial space, the first dust collecting filter is installed at the optimum position in front of the wind blowing direction including the fine dust. Specifically, through the first unit simulation, that is, the first fine dust information from the fine dust observation step (S100), the first weather observation information from the meteorological observation step (S200), and the feature observation step First information including the first feature information is collected from S300. Based on the first information, the concentration of the fine dust according to the position in the target geospatial space is predicted through the modeling step S400, and the optimal position of the first dust collecting filter is selected through the dust collecting filter positioning step S500. . The first dust collecting filter may be installed at the selected optimal position, and the first dust collecting filter may be one or two or more. Specifically, since the first dust collecting filter means a dust collecting filter installed at an optimal position calculated by the first unit simulation, the first dust collecting filter may be interpreted to mean a filter installed in each of the plurality of structures. It can also be interpreted as a plurality of dust collecting filters installed in the vertical direction.

After the first dust collecting filter is installed, the unit simulation is performed a second time to select an optimal position of the second dust collecting filter, thereby installing a second dust collecting filter at the optimum position. At this time, the second dust collecting filter is located at the rear of the first dust collecting filter with respect to the direction in which the wind including the fine dust blows. After the second dust collecting filter is installed, the unit simulation is performed n times to select an optimal position of the nth dust collecting filter, thereby installing the nth dust collecting filter at the optimum position. In this case, the n-th dust collecting filter is located at the rear of the second dust collecting filter with respect to the direction in which the wind including the fine dust blows. In this way, it is possible to predict and select an optimal installation position of the total of n dust collecting filters including the first to nth dust collecting filters, and to position the dust collecting filters to be installed at the rear to reflect the change by the dust collecting filter installed in the front. The optimal position of can be selected more precisely. N is a natural number of 2 or more.

The target geographic space refers to a space in which one or more structures are installed, and may be described as any one of the first structures to the fourth structures described later, but may have various modified structures. The arrangement structure is not very limited. For example, FIG. 2 illustrates the first structure as an example.

In one example according to the present invention, the target geospatial space is located in a row and a column spaced apart from each other, as shown in Figure 4, so that the neighboring rows and the neighboring columns are not shifted from each other A first structure comprising a structure located opposite each other; A second structure including a structure in which a plurality of structures are spaced apart from each other to form a row and a column, and a structure in which neighboring rows are shifted from each other; A third structure including a structure in which a plurality of structures are spaced apart from each other to form a row and a column, and the neighboring columns are shifted from each other; And a fourth structure including a structure in which a plurality of structures are spaced apart from each other and formed in rows and columns, and the rows and columns adjacent to each other are shifted from each other. It may include any one or two or more structures selected from.

When a plurality of structures are located in the target geographic space, as a specific example, as shown in FIG. 2 including the first to fourth structures of FIG. 5, turbulence may occur between the structures and the structures. In addition, according to Bernoulli's theorem, the wind speed between structures increases rapidly and the wind direction also changes rapidly.

Therefore, the optimal position of the dust collecting filter selected in the dust collecting filter positioning step (S500) may be an adjacent area between the structure and the structure, and preferably, may be installed in the passage area between the structure and the structure. Between the structure and the structure may act as a passage for the wind containing the fine dust flows into the effective space in the target geospatial space, near the passage through which the wind is introduced between the structure and the structure, specifically, forming the passage A dust collecting filter may be installed on the outer surface of the structure.

The method for selecting an optimal position of the dust collecting filter according to the present invention will be described below with reference to a specific embodiment. However, this is a case where the experiment is performed for a specific variable among various environmental variables. The invention is not to be construed as limited.

As a specific first embodiment according to the method for selecting an optimal position of the dust collecting filter according to the present invention, as shown in FIG. 2, in the case of the first structure of FIG. 4, the wind blowing direction including fine dust is referred to. When the dust collecting filter is installed at the front, the wind including the fine dust which has not been removed even though the fine dust is adsorbed and removed by the dust collecting filter passes most of the wind through the upper side of the dust collecting filter. Thus, when there is an obstacle such as a dust collecting filter including a structure, it can be specifically confirmed through FIG. 5 that the wind including the fine dust passes through most of the obstacle. 5 is a prediction of the modeling step (S400) as a discrete phase model (DPM) using Computational Fluid Dynamics (CFD), the results for the concentration of fine dust according to the location In this case, the concentration of fine dust particles decreases from red to blue. 5 (a) is a case where there is no structure, (b) is a case when there is a structure, as can be seen through (b), when the obstacle is located in front of the wind direction including the fine dust The fine dust passes over the obstacle, and the concentration of the fine dust is significantly reduced in the lower side behind the obstacle compared with the upper side.

As a second specific embodiment according to the method for selecting an optimal position of the dust collecting filter according to the present invention, as shown in FIGS. 6 to 8, in the case of the first structure of FIG. An example scenario is shown. 6 is a conceptual diagram schematically illustrating a location of extracting particulate matter flowing out of a wind direction and a dust collecting filter and a structure. In this case, it is calculated that the dust collection efficiency is excellent to install the dust collecting filter in the position of ① to 표시된 shown in Figure 6, the specific data can be confirmed from FIG.

FIG. 7 is a modeling result according to the diffusion scenario of FIG. 6, by using computational fluid dynamics (CFD) to perform the prediction of the modeling step (S400) as a discrete phase model (DPM). It is shown. In this case, (a) of FIG. 7 is a case where there is no dust collecting filter, (b) is a case where 13 dust collecting filters are installed, and the concentration of fine dust particles decreases from red to blue.

FIG. 8 illustrates the number of fine dust particles introduced into and out of the structure in the modeling result of FIG. 7. From this, 13 dust collecting filters are calculated and installed in the modeled position, and it can be seen that each position of the dust collecting filter is optimally selected to minimize the efficiency deterioration as the dust collecting filter acts as an obstacle.

Therefore, when a plurality of dust collecting filters are installed, for example, to select an optimal position of a total of n dust collecting filters including the first to nth dust collecting filters, dust collection is performed based on the result value of the modeling step (S400). Through the filter positioning step (S500) it can be selected the optimal position of the dust collecting filter. As the optimal position of the dust collecting filter through the dust collecting filter positioning step (S500), as shown in FIG. 2, the second dust is formed at a height corresponding to the lower side of the first dust collecting filter located in front of the dust collecting filter. The dust collecting filter is located behind the first dust collecting filter. Therefore, it is possible to further reduce the probability that the fine dust is introduced into the effective space in the target geospatial space, which means that it is possible to effectively reduce the concentration of the fine dust in the effective space.

As described above, the second dust collecting filter may be installed at a position lower than the height of the first dust collecting filter in the rear spaced apart from the front first dust collecting filter. A dust collecting filter may be installed. By arranging the dust collecting filter in this manner, even when a limited number of dust collecting filters are installed, it is possible to efficiently reduce the fine dust concentration in the effective space above the ground (ground), and as the number of dust collecting filters increases in the vertical direction of the structure, The fine dust concentration in the ground portion of the effective space can be greatly reduced.

As a third specific embodiment according to the method for selecting the optimal position of the dust collecting filter according to the present invention, when F _{(i, j)} is defined as the installation position of the dust collecting filter, i is based on the direction of the wind including fine dust. It means a position to be moved in the horizontal direction of the structure, j means a position to be moved in the vertical direction of the structure, that is, the height direction of the structure. I is a natural number of 2 or more, and j is a natural number of 1 or more.

Dust collection filter from F _(1,1) At least _Σ F _{(i, j)} dust collecting filters up to F _{(i, j)} are included. The dust collecting filter is located in front of the wind blowing direction, but located in a vertical direction of the structure F _{(k, k)} ; But located in the vertical direction of the structure _{F F (k, k + 1} ) which is located on the upper side of the _{(k, k);} F _{(k + 1, k),} which is located in the rear of F _{(k, k)} and F _{(k, k + 1)} in the vertical direction of the structure with respect to the wind blowing direction; Located in the vertical direction of the structure but located above the F _{(k + 1, k)} F _{(k + 1, k + 1)} ; includes. Where F _{(k + 1, k + 1)} is selected at a position lower than the height of F _{(k, k + 1)} , and the total number of F _{(k + 1, j)} located at the rear is F located at the front is less than the total number of _{(k, j)} . I, j, k are integers independently of one another. An example thereof is illustrated in FIG. 3, and when dust collecting filters are installed at each of these positions, even a relatively small number of dust collecting filters can efficiently reduce fine dust inflow into the effective space in the target geographic space.

As a more specific example, the dust collecting filter F _(1,1) , located in the vertical direction of the structure located in the foremost position relative to the wind blowing direction, F _(1,2) , F _(1,3) and F _(1,4) . At this time, when four structures are continuously arranged in the vertical direction of the wind blowing direction, there are three passages between the continuously arranged structures, and the total number of outer surfaces of the passages is 6, so the vertical direction of the structure located at the foremost position. The total number of dust filters located at 24 may be required. In the case of the structure located in the rear of the frontmost part, F _(2,1) , F _(2,2) , F _(2,3) and F _(2,4) or fewer F _(2,1) , It may include F _{(2, 2)} and F _{(2, 3)} , each F _{(2, 4)} or F _{(2, 3)} is installed at a position lower than the height of F _{(1, 4)} . Since the total number of the dust collecting filters F _{(2, j)} located at the rear side can be calculated in the same manner as the above-described F _{(1, j)} , it is omitted. In this way, F _{(i, j)} may be installed on the outer surface of the structure continuously arranged in the direction of the wind blowing _, but this is only an example for the sake of understanding and is not limited thereto.

In one embodiment of the present invention, the weather observation information may be statistical weather observation information according to the cumulative period of the target geospatial space received from the outside. The weather observation information may be measured at that time in real time, but in some cases, the weather observation information may be statistical information according to the cumulative period of the target geospatial space received from the outside. When the weather observation information is used as the statistical information, it is possible to reduce the time and cost required for the prediction in the modeling step (S400).

In one example of the present invention, in the dust collecting filter positioning step (S500), the installation direction of the dust collecting filter may be selected as a direction facing the direction of the fine dust. Although it may vary depending on the structure of the dust collecting filter itself, the position setting step (S500) and the modeling are regarded as the direction in which the dust collecting filter is installed in a direction opposite to the direction of the fine dust when the position is selected in the positioning step (S500). Step S400 can be further simplified.

In addition, as shown in Figure 1, the observation step (S100 ~ S300) including the fine dust observation step (S100), the meteorological observation step (S200) and the feature observation step (S300); The modeling step (S400); And the dust collecting filter position selection step (S500); is performed sequentially, the fine dust observation step (S100), the meteorological observation step (S200), the feature observation step (S300) is not necessarily performed sequentially There is no restriction on their order.

Hereinafter, a method of removing fine dust using the method of selecting an optimal position of the dust collecting filter according to the present invention will be described in detail.

The method for removing fine dust according to the present invention may be a method for removing fine dust using a dust collecting filter installed as a method for selecting an optimal position of the dust collecting filter. The method for removing fine dust may include: a) selecting the dust collecting filter; Installing a dust collecting filter at a position selected in S500; b) transmitting data including the fine dust information and the meteorological observation information to a server; And c) controlling, at the server, to operate the dust collecting filter when the fine dust concentration in the target geographic space exceeds a preset threshold concentration based on the data.

The dust collecting filter may be operated dependently by the server and may reduce ambient fine dust. As a specific example, the dust collecting filter includes a dust collecting part including an electrically conductive charged net and a collector installed to face the charged net; And a voltage adjusting unit configured to receive information such as whether voltage is applied from the server and / or voltage strength, and to apply and adjust voltage to the charging network.

Step a) is a step of installing a dust collecting filter at a predetermined position, the dust collecting filter is installed at the position selected in the dust collecting filter positioning step (S500), the vertical coordinates in the space may be different, for example, the target geographic space It can be located above my effective space. Specifically, the dust collecting filter is installed on the outer surface of at least one structure, it may be installed at a position above the critical height from the bottom surface of the structure. That is, a space formed in the bottom direction at a point that becomes greater than or equal to the threshold height with respect to the bottom surface of the structure may be defined as the effective space. The critical height may be equal to or greater than the height of the effective space where the reduction of the fine dust concentration is substantially required, and may be, for example, 2 m, specifically 2.5 m. However, this is only described as a preferred example, of course, the present invention is not limited thereto.

Step b) is a step of transmitting data including the fine dust information and the weather observation information to the server. The server receives data including fine dust information and meteorological observation information obtained by the method for optimally selecting the dust collecting filter, and controls the one or more dust collecting filters to absorb fine dust. That is, the server is a central control unit for controlling the operation of the individual dust filters, and controls the operation of the individual dust filters and the intensity of the dust collection based on the data including the fine dust information and the weather observation information according to the location where each dust filter is installed. Can be. Therefore, it is possible to selectively and efficiently reduce the concentration of fine dust in the effective space where the fine dust affects the human body in the target topographic space. As a result, it is possible to minimize the energy loss and the economic loss due to the reduction of the fine dust concentration other than the effective space having a substantial effect due to the reduction of the fine dust concentration, thereby covering a wider area substantially required.

Step c) is a step of controlling the dust collecting filter to operate when the concentration of fine dust in the target terrain space exceeds a predetermined threshold concentration based on the data through the server.

The server basically has information on the installation position of each dust filter. In addition, fine dust information and meteorological observation information on the installation position of each dust collecting filter may be collected in real time from the fine dust observation step (S100) and the meteorological observation step (S200) of the optimal position selection method of the dust collecting filter, respectively. Therefore, by comparing the dust concentration obtained from the fine dust information and meteorological observation information at the installation position of the individual dust filter and the threshold concentration of the predetermined dust, the operation of each dust filter and the intensity of dust collection are controlled. It is possible to efficiently reduce the fine dust concentration through the dust collecting filter in the effective space of.

The server may control the voltage controller to apply a voltage to the electric charge network when the server is higher than the threshold concentration of the fine dust based on the data, and when the dust concentration is lower than the threshold of the preset fine dust. The voltage regulator may control to stop applying voltage to the charging network.

In addition, the server may control the amount of power applied to the electric charge network according to the fine dust concentration, it is possible to adjust the dust collection intensity of the dust collecting filter. In detail, based on the fine dust information including the fine dust concentration received by the server, the fine dust concentration step may be determined by substituting the current fine dust concentration in the preset fine dust concentration step in the server. In addition, according to the determined concentration step, the amount of power corresponding to each concentration step may be applied to the charging grid, thereby controlling the intensity of dust collection. In other words, the higher the concentration of fine dust, the greater the amount of power applied to charge and reduce the amount of fine dust in the air, thereby increasing the fine dust removal efficiency.

Furthermore, since the server may receive the weather observation information including information on the precipitation probability of the location where the dust collecting filter is installed from the outside, the server may determine the precipitation probability of the location where the dust collecting filter is installed and the threshold precipitation probability preset in the server. In comparison, when the precipitation probability of the position where the dust collecting filter is installed is higher than a predetermined threshold precipitation probability, the voltage controller may control to stop applying the voltage to the grid, and the precipitation probability of the position where the dust collecting filter is installed may be set. If it is lower than the threshold precipitation probability, the presence or absence of voltage may be controlled to perform step c). Through meteorological observation information including information on the probability of precipitation, it is possible to prevent the problem of losing power applied to the electric charge network due to precipitation, as well as reflecting the information on the reduction of fine dust concentration due to precipitation in advance. The reduction efficiency of fine dust concentration can be improved.

In one preferred embodiment, the dust collecting filter comprises a measuring unit capable of performing the fine dust observation step (S100) and / or the gas phase observation step (S200); And a transmitting unit which transmits fine dust information and / or weather observation information collected from the measuring unit to the server. Therefore, the fine dust information and meteorological observation information on the installation position of each dust filter can be directly measured by the dust filter and transmitted to the server, so the fine dust observation step (S100) of the method for selecting an optimal position of the dust filter and By collecting the information through the meteorological observation step (S200) and reflecting the information in real time on the server, the concentration of fine dust can be reduced more efficiently.

That is, the method of selecting the optimal position of the dust collecting filter not only selects the lowest position of the dust collecting filter but also performs the function of measuring or predicting the fine dust concentration in real time, so that it is continuously used for removing the fine dust even after installing the dust collecting filter. Can be.

In one example of the present invention, the charge network is not limited in the case of a material capable of charging fine dust particles by energization, specifically, may be a conductive metal material, more specifically, copper-based metal, iron-based It may be one or two or more selected from metals, platinum-based metals, gold, silver, and the like, or an alloy material in which these are mixed. Preferably, when considering the fine dust removal apparatus of the present invention installed outdoors, it may be a material containing any one or two or more selected from low-corrosive iron-based metals, copper-based metals and alloys thereof, which is preferred It has been described by way of example only, of course, the present invention is not limited thereto.

In the dust collecting filter according to the present invention, the charging network has the characteristics of dust collection by natural adsorption even when no voltage is applied, and the adsorption efficiency of fine dust is remarkably increased as the voltage is applied, thereby significantly reducing the amount of power consumed for a long time. Fine dust can be reduced while being effective.

In one embodiment of the present invention, the charge network may be one or two or more. Preferably, the dust collecting filter according to an embodiment of the present invention is at least two charge networks; And a collecting network interposed in the charging network. If this is satisfied, it is possible to efficiently collect fine dust by minimizing the influence on the direction of the wind.

The amount of power applied to the charged grid may vary depending on the concentration of fine dust and the size of the charged grid as described above, but may be 5 to 80 W per 1 m ² of the charged grid. In addition, the voltage applied to the grid is not limited if the range that can efficiently charge the fine dust passing through the grid, but may be specifically 1 to 50 kV. However, this is only described as a preferred example, of course, the present invention is not limited thereto.

In one embodiment of the present invention, the collector may include a fiber in which micropores of 1 to 50 nm are formed. As a specific example, the collector may be formed including a micropore of 2 nm or less and a mesopore (mesopore) of 2 to 50 nm size, specifically, an organic / inorganic composite or a single material Fiber may be included. When the collector includes micropores and mesopores in the above range, it is installed in the outdoors and has the advantage of adsorbing not only fine dust but also air pollutants such as volatile organic compounds (VOC) and nitrogen oxides (NOx). However, this is only described as a preferred example, of course, the present invention is not limited thereto. By the pores formed on the fiber, the collector can collect fine dust even when no voltage is applied to the charging network. Furthermore, when voltage flows through the charging network to charge fine dust, fine dust can be removed with higher efficiency.

The collector according to an embodiment of the present invention may be a film or network structure, when the collector is a film, it may be a film including a channel of 10 to 1000 ㎛ capable of air circulation. If it satisfies this, there is an advantage that the fine dust collection efficiency is high. When the collector is a reticular structure, the body size may be 10 to 1000 μm. If this is satisfied, it is easy to implement the shape and there is an advantage to improve the cleaning efficiency of the collector by precipitation or the like. However, this is only described as a preferred example, of course, the present invention is not limited thereto.

The collector may have a thickness of about 10 μm to about 1000 μm, and the dust collector may be folded by the thickness of the collector and the thickness of the collector. Accordingly, when the fine dust concentration is low, it is possible to fold and store the dust collecting part, and when the fine dust concentration is high, the dust collecting part may be expanded to perform fine dust removal, but the present invention is not limited thereto.

In one example of the present invention, the dust collecting part may be folded or unfolded. Specifically, when the dust collecting filter is not driven, the dust collecting part may be folded and stored in close contact with the outer surface of the structure. When the dust collecting device is driven, the dust collecting part may be expanded to expand in the vertical direction of the outer surface of the structure to collect fine dust. In this case, it may be preferable that the dust collecting filter is deployed to face the direction of the wind in the plane direction.

In more detail, when the fine dust concentration is lower than the preset threshold concentration, the dust collecting part may be stored folded, and when the fine dust concentration is higher than the preset threshold concentration, the dust collecting part may be unfolded to promote dust collection. In a preferred embodiment, the critical dust concentration may be exceeded based on the fine dust concentration measured or predicted through the fine dust observation step (S100) and / or the meteorological observation step (S200) or through the modeling step (S400). In this case, the dust collecting part of the dust collecting filter is unfolded, and when not exceeding, the dust collecting part of the dust collecting filter can be folded.

100: structure, 210: first dust collecting filter,
211: F _(1,1) , 212: F _(1,2) ,
213: F _(1,3) , 220: second dust filter,
221: F _(2,1) , 222: F _(2,2) ,
230: third dust collecting filter, 231: F _(3,1) ,
D: Wind direction including fine dust

Claims (11)

In the method of selecting the optimal position of the dust collecting filter in the target geospatial space including a plurality of structures,
Fine dust observation step (S100) of collecting fine dust information on the particle size and concentration of the fine dust in the target geographic space;
Meteorological observation step (S200) for collecting meteorological observation information on the wind direction and speed at any location in the target geographic space;
Feature observation step (S300) of collecting feature information on the location of the structure in the target geographic space;
A modeling step (S400) of receiving the fine dust information, the meteorological observation information, and the feature information, and then predicting the concentration of the fine dust according to the location in the target geographic space; And
A dust collecting filter position selecting step (S500) of selecting a position of a dust collecting filter to be installed from information on the concentration and direction of the fine dust according to the predicted position in the modeling step;
Optimal location selection method of the dust collecting filter comprising a. The method of claim 1,
The fine dust observation step (S100), the meteorological observation step (S200), the feature observation step (S300), the modeling step (S400), and the dust collecting filter positioning step (S500) are defined as unit simulations and repeated. Performing,
The dust collecting filter position selection step (S500),
Repeatedly performing the unit simulation to sequentially select the optimal positions of two or more dust filters, and selecting the optimal positions of the next dust filters by reflecting the information corrected by the dust filters installed initially and selected at the optimal positions.
Optimal location selection method of the dust collecting filter comprising a. The method of claim 2,
And the corrected information is a corrected value for information including any one or more selected from the fine dust information, the weather observation information, and the feature information. The method of claim 3,
And the corrected fine dust information is a value corrected as a concentration of fine dust reduced by a previously selected and installed dust filter. The method of claim 3,
And the corrected meteorological observation information is a value corrected as a wind direction and a modified speed modified by a previously selected and installed dust collecting filter. The method of claim 3,
And the corrected feature information is a value corrected as feature information modified by a previously selected and installed dust collecting filter. The method of claim 1,
The meteorological observation information is statistical weather observation information according to the cumulative period of the target geospatial received from the outside of the optimal position selection method. The method of claim 1,
Prediction of the modeling step (S400) is the optimal position selection method of the dust collecting filter is performed as a discrete particle model (DPM) using Computational Fluid Dynamics (CFD). The method of claim 1,
In the dust collecting filter position selection step (S500), the installation direction of the dust collecting filter is a direction opposite to the direction of the fine dust. The method of claim 1,
The target geospatial is
A first structure including a structure in which a plurality of structures are spaced apart from each other to form a row and a column, and are disposed to face each other so that all of the neighboring rows and the neighboring columns do not shift;
A second structure including a structure in which a plurality of structures are spaced apart from each other to form a row and a column, and a structure in which neighboring rows are shifted from each other;
A third structure including a structure in which a plurality of structures are spaced apart from each other to form a row and a column, and the neighboring columns are shifted from each other; And
A fourth structure including a structure in which a plurality of structures are spaced apart from each other and formed in rows and columns, and the rows and columns adjacent to each other are shifted from each other;
Optimal positioning method of the dust collecting filter including any one or two or more structures selected from. A method for removing fine dust using a dust collecting filter installed by an optimal position selection method of the dust collecting filter of any one of claims 1 to 10,
The fine dust removal method,
a) installing a dust collecting filter at a position selected in the dust collecting filter positioning step (S500);
b) transmitting data including the fine dust information and the meteorological observation information to a server; And
c) controlling, at the server, to operate the dust collecting filter when the fine dust concentration in the target geographic space exceeds a predetermined threshold concentration based on the data.
In the step a), the dust collecting filter is installed on the outer surface of at least one structure, fine dust removal method using a dust collecting filter installed at a position above the critical height from the bottom surface of the structure.

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