KR20160080382A - Method for measuring dust and apparatus for measuring dust - Google Patents

Abstract

Provided are a method for measuring dust and an apparatus for measuring dust. The method for measuring dust enables the measurement of a dust particle having various diameters in a consecutive and accurate manner. The method for measuring dust comprises the steps of: (a) calculating mass concentrations by collecting the dust; (b) obtaining a measurement value with respect to the diameter and the number of the dust particle by irradiating the light, and obtaining a sorted value by sorting a plurality of categories having the diameter of the dust particle as a reference; (c) calculating volume concentrations of the dust particle from the measured value or the sorted value; and (d) correcting the volume concentrations in step (c), with respect to the mass concentrations calculated in step (a).

Description

TECHNICAL FIELD [0001] The present invention relates to a dust measuring method and a dust measuring apparatus,

TECHNICAL FIELD The present invention relates to a dust measuring method and dust measuring apparatus, and more particularly, to a dust measuring method and dust measuring apparatus for continuously and precisely measuring dust particles having various particle diameters.

Air pollution is getting serious. Due to the periodic repetition of dust, various fine dusts, and smog, it is difficult to even breathe easily in urban areas, and the dust particles scattered in the air scatter sunlight to blur the field of view. When the dust particles are aspirated intact into the human body, they can penetrate into the alveoli and cause various lung diseases and respiratory diseases.

Dust particles can be created from natural materials or artificial synthetic materials. Dust particles vary in size, and their size can be reduced to micrometers by physical fracturing. Various types of measuring equipment have been developed to monitor the distribution of dust particles and monitor air pollution. Korean Patent Laid-Open Publication No. 10-2000-0021639 and the like.

However, when these measuring devices are limitedly measured only for dust particles having a specific particle diameter depending on the equipment, or when dust particles having various particle diameters are detected, the reliability of the measured values is considerably lowered or the measuring time is long, And it was difficult to grasp the change situation. Therefore, it is necessary to develop a technique to solve such a problem.

Korean Patent Publication No. 10-2000-0021639, (Apr. 25, 2000), Drawing 1

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems, and it is an object of the present invention to provide a dust measuring method for continuously and accurately measuring dust particles having various particle diameters, And to provide a dust measuring device that is continuously, accurately, and accurately realized.

The dust measuring device according to the present invention comprises an optical measuring module for irradiating light to obtain a measured value of a particle size and a number of dust particles and classifying the dust particles into a plurality of categories based on the particle size to obtain a classification value; A sampling module for collecting dust separately from the optical measurement module; A calculator for calculating a dust concentration from the measured value or the classified value; And a correction unit for correcting the dust concentration calculated by the calculation unit based on the concentration of the dust collected in the sampling module.

The concentration of the dust collected in the sampling module is a mass concentration, and the dust concentration calculated in the calculation section may be a volume concentration.

The volume concentration may be that the correlation with the mass concentration appears linearly.

The calculation unit may determine the density estimated value of the dust particles from the correlation between the volume concentration and the mass concentration.

The calculation unit may determine the density estimation value for each of a plurality of categories classified based on the particle size of the dust particles.

The dust measuring apparatus may further include a beta ray measuring unit for irradiating the beta ray to measure the mass concentration of dust, and the calculating unit calculates the mass calculation value of the dust particle by applying the density estimation value, Value can be compared with the mass concentration measured by the beta ray measuring unit.

The light measurement module measures the particle size and the number of the dust particles inside the fluid in real time by irradiating the fluid containing the dust particles with the light, and the sampling module samples and collects the dust for a unit time interval .

The optical measurement module irradiates laser light and detects scattered light of the laser light to measure the particle size and the number of the dust particles in real time, and the sampling module can collect dust attached to the filter during a unit time interval.

The sampling module may include a dust capturing unit for capturing dust by a particle size serving as a reference to be classified into the plurality of categories.

Wherein the dust concentration calculated by the calculation section is a volume concentration calculated for each of the plurality of categories, and the mass concentration of the dust captured by the particle size by the sampling module and the volume concentration calculated for each of the plurality of categories A density estimate for each of a plurality of categories of the dust particles classified on the basis of particle size can be determined.

The dust measurement apparatus may further include a data storage unit for storing data obtained by at least one of the operation unit, the correction unit, the optical measurement module, and the sampling module, and a data storage unit for storing the data stored in the data storage unit, And a control module for controlling at least one of the optical measurement modules.

The dust measuring apparatus may further include a communication module for receiving at least one of the sampling module and the optical measuring module in response to a control signal from the outside.

The dust measuring method according to the present invention comprises the steps of: (a) collecting dust and calculating a mass concentration; (b) irradiating light to obtain a measured value of the particle size and the number of the dust particles, and classifying the dust particles into a plurality of categories based on particle diameters to obtain a classification value; (c) calculating the volume concentration of the dust particles from the measured value or the classified value; And (d) correcting the volume concentration of step (c) based on the mass concentration calculated in step (a).

The volume concentration of step (c) may be linearly correlated with the mass concentration calculated in step (a).

The dust measurement method may further include the step of (e) determining an estimated density value of the dust particles from a correlation between the volume concentration of the step (c) and the mass concentration of the step (a).

The density estimation value of step (e) may be determined for each of a plurality of categories classified based on the particle size of the dust particles.

The dust measurement method includes the steps of: (f) measuring a mass concentration of dust by irradiating a beta ray, calculating a mass calculation value of the dust particle by applying a density estimation value of the step (e) And comparing the measured mass concentration with the measured mass concentration.

Wherein the mass concentration of the dust particles is calculated for each particle diameter of the dust particles by the particle diameter, the volume concentration of the dust particles is calculated for each particle diameter of the dust particles, and the density estimation value of the step (e) Can be determined for each of a plurality of categories of the dust particles classified on the basis of the particle size from the correlation between the mass concentration of the dust trapped by each particle size and the volume concentration of the dust particles calculated for each particle diameter.

According to the dust measurement method of the present invention, it is possible to continuously measure the mass, volume, and the like with respect to the dust particles having various particle diameters contained in the fluid, and to obtain a very useful effect in which the measurement is accurately performed with high reliability have. In addition, with the dust measuring apparatus according to the present invention, it is possible to continuously measure the dust particles having various particle diameters to obtain reliable measured values.

1 is a block diagram showing a configuration of a dust measurement apparatus according to an embodiment of the present invention.
FIG. 2 is a view showing the optical measurement module of the dust measurement apparatus of FIG. 1 in more detail.
FIG. 3 is a view showing the sampling module of the dust measurement apparatus of FIG. 1 in more detail.
FIG. 4 is a view showing the beta ray measuring unit of the dust measuring apparatus of FIG. 1 in more detail.
Fig. 5 is a view for explaining the relation between dust particles classified into a plurality of categories on the basis of particle diameters and the volume concentrations and mass concentrations respectively estimated therefrom.
6 is a flowchart illustrating a dust measurement method according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and methods for achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the present invention is only defined by the claims. Like reference numerals refer to like elements throughout the specification.

Hereinafter, a dust measuring method according to an embodiment of the present invention and a dust measuring apparatus according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 6. FIG. For the sake of brevity and conciseness, we shall first describe the dust measuring device in detail and explain the dust measuring method in detail.

Elements mentioned in the singular to this specification may include a plurality of meanings. For example, dust particles composed of a plurality of dust particles, even if it is referred to as a " dust particle ".

FIG. 1 is a block diagram showing the configuration of a dust measuring apparatus according to an embodiment of the present invention. FIG. 2 is a detailed view of the optical measuring module of the dust measuring apparatus of FIG. 1, 1 is a diagram showing in more detail the sampling module of the dust measurement device. Fig. 4 is a view showing the beta ray measuring unit of the dust measuring apparatus of Fig. 1 in more detail. Fig. 5 is a graph showing the relationship between dust particles classified into a plurality of categories on the basis of particle diameters and the bulk density and mass concentration Fig.

Referring to FIG. 1, a dust measuring apparatus 1 according to an embodiment of the present invention irradiates light to obtain measured values of particle size and number of dust particles, (20) for collecting dust separately from the optical measuring module (10), a calculating section (40) for calculating the dust concentration from the measured value or the classified value, and a calculating section And a correcting section 50 for correcting the dust concentration calculated by the calculating section 40 on the basis of the concentration of the dust collected in the sampling module 20. [

The dust measuring device 1 irradiates the fluid containing the dust particles with the light measurement module 10 to measure the dust particles in real time. The sampling module 20 collects dust separately from the dust particles, The concentration of the dust to be a reference of correction is calculated. Therefore, the measurement can be performed very accurately by correcting the measured value in real time to a value that is a separate reference.

In addition, the dust measuring apparatus 1 can classify dust particles into a plurality of categories based on the particle size, and make corrections based on the values that become the reference for each category. Thus, measurements on dust particles for various sizes, rather than only limited sized dust particles, can be made very accurately.

In addition to the sampling module 20, the dust measuring device 1 may correct the measured value in real time, including the beta side portion 30, to a value that is a reference value calculated in one or more different ways. Therefore, it has an advantage that the error of the real-time measurement can be largely reduced and the accuracy of the measurement can be greatly improved.

The characteristics of the dust measuring apparatus 1 are the same as those of the dust measuring method described later. The dust measuring apparatus 1 according to the embodiment of the present invention can be applied to the dust measuring apparatus 1 according to an embodiment of the present invention. It can be easily performed. Hereinafter, each component of the dust measurement device 1 having these features will be described in more detail with reference to the respective drawings.

The optical measuring module 10 irradiates light to obtain measured values of the particle size and the number of the dust particles, and classifies the dust particles into a plurality of categories based on the particle size. The optical measuring module 10 can measure the particle size and the number of the dust particles in the fluid in real time by irradiating the fluid containing the dust particles with light. In this case, the classification value obtained by classifying the plurality of categories based on the particle size may include a distribution value with respect to the number of dust particles classified by each particle size. For example, when the particle size is between 0 and several micrometers The dust particles can be classified into one category and information on how many dust particles of the category are measured can be obtained. The classification value may be, for example, the particle size and the number of the dust particles belonging to each of the plurality of categories. The range of particle diameters for classifying the categories can be varied as needed, and the number of dust particles measured can be grasped by dividing the dust particles into a plurality of categories or channels.

2, the optical measurement module 10 includes a flow path 110 through which a fluid containing a dust particle flows, a light irradiation part 120 that irradiates light toward the flow path 110, A photodetector 130 for detecting scattered light L 'scattered by the dust particles A, and a controller 150 for transmitting and controlling a control signal. For example, the fluid pump 140 may be provided on the flow path 110 to easily introduce the fluid containing the dust particles A into the flow path 110.

 The optical measuring module 10 can measure the particle size and the number of the dust particles A in real time by irradiating the laser light and detecting the scattered light L 'of the laser light. That is, the light L emitted from the light irradiating unit 120 may be laser light focused and irradiated inside the flow path 110. The dust particles A can be easily scattered by appropriately adjusting the wavelength of the laser light or the like and the dust particles A can be easily scattered from the intensity of the scattered light L ' And a measurement value for the number and the number of the particles can be obtained.

The sampling module 20 is constructed separately from the optical measuring module 10 as shown in FIG. 1, and collects dust separately from the optical measuring module 10. The sampling module 20 may collect and sample dust during a unit time interval and may include a dust capturing part 210 for capturing dust by a particle size that is a criterion for classifying dust particles into a plurality of categories . That is, the sampling module 20 can capture and collect dust with different particle diameters by using the dust capturing part 210.

3, the sampling module 20 may include a dust catching portion 210 where the dust traveling path 211 is formed and a collection filter 220 interposed on the dust traveling path 211 have. The collection filter 220 may be formed in a cassette shape so that it can be manually or automatically exchanged at predetermined time intervals, and the collected dust can be separated from the collection filter 220 as a sample through a series of processing steps. have. The dust catching part 210 can separate and capture dust by particle size using one or more particle separating devices 212 formed on the dust traveling path 211, for example, The diameter, length, path, etc. of the traveling path 211 can be adjusted or changed. The illustrated sampling module 20 exemplifies the sampling module 20, and the sampling module 20 can be variously changed into a form capable of easily separating and capturing dust by particle size.

The calculating unit 40 is connected to the optical measuring module 10 as shown in FIG. 1 and the correcting unit 50 is connected to the sampling module 20, the beta side unit 30, and the calculating unit 40, To transmit data or to transmit signals. Each component can be connected to each other in a wired or wireless manner to enable data communication. The arithmetic unit 40 and the corrector 50 may be formed of a processor including a program for data operation, analysis, and processing.

The calculating unit 40 receives the data including the measurement value or the classification value of the optical measuring module 10 to calculate the dust concentration, and the correcting unit 50 receives the data on the collected dust, 20 based on the concentration of the collected dust. That is, the values measured in real time by the optical measuring module 10 are calculated through the arithmetic unit 40 and corrected based on the values obtained from the sampling module 20. Accordingly, the dust measurement can be performed in a real time and can be calculated to a very accurate value.

In this case, the concentration of the dust collected in the sampling module 20 is a mass concentration, and the dust concentration calculated in the calculation section 40 may be a volume concentration. That is, as described above, the dust collected in the sampling module 20 can be separated into a sample and can measure the mass, and it is possible to measure the mass of the fluid (i.e., the fluid such as air including dust) It can be converted to mass of dust per volume, that is, mass concentration. The calculating unit 40 calculates the volume of the dust particles estimated based on the particle size of the dust particles measured in real time and the number of the measured dust particles to calculate dust particles existing per volume of the fluid flowing during the measurement of the dust particles The volume of particles, that is, the volume concentration, can be calculated.

The volume concentration of the dust particles measured in real time is corrected on the basis of the mass concentration of dust obtained by sampling the dust for a predetermined time by the sampling module 20 as described above. The volume concentration of dust particles can be corrected by checking the correlation with the mass concentration, and the correlation between the volume concentration and the mass concentration can be shown linearly. In this case, the fact that the correlation is linear means that the other corresponding value changes proportionally in response to a change of one of the correlated variables.

That is, the correlation between the volume concentration measured in real time and the mass concentration data obtained by collecting the dust separately during a predetermined time interval can be statistically processed. For example, a regression equation showing the correlation between the distribution of the volume concentration and the distribution of the mass concentration can be estimated through regression analysis (including linear or nonlinear regression analysis), and the least squares method, orthogonal least squares method, The relationship between the regression equation and the data can be inferred and the error can be corrected. If the correlation between the volume concentration and the mass concentration determined in this manner is linear and the proportional relationship is confirmed, the dust concentration of the dust particles measured in real time can be corrected with a certain correction factor, for example, .

Particularly, as described above, the sampling module 20 can collect and sample dust by particle size, so that the mass concentration as a reference of correction can be provided for each classified and sorted by particle diameter of the collected dust. In addition, since the optical measuring module 10 measures the particle size and the number of the dust particles in real time and classifies them into a plurality of categories based on the particle size, the calculating unit 40 also calculates the volume concentration for each classified category of the dust particles can do. Therefore, for each of the different categories of dust particles classified on the basis of the particle size, the volume concentration can be corrected on the basis of the mass concentration, and an accurate value can be calculated.

That is, as shown in Fig. 5 (b), the dust particles can be classified into a plurality of different categories corresponding to the particle size range or the particle size interval of the dust particles. For example, when R1 to R11 and the like are referred to as values for arbitrary particle diameters (micrometer: may be measured in units of micrometers), dust particles having particle sizes of sizes included in the intervals between the particle diameters are P1 to P11, and the like. The categories can be classified into at least 10 or more, and the interval between the particle diameters can be appropriately adjusted. For example, when 16 categories are formed, the particle diameter is 0 to 10 mu m, the particle diameter is 0 to 8.5 mu m, the particle diameter is 0 to 7.0 mu m, the particle diameter is 0 to 6.0 mu m, the particle diameter is 0 to 5.0 mu m, A particle diameter of 0 to 0.5 占 퐉, a particle diameter of 0 to 0.4 占 퐉, a particle diameter of 0 to 1.5 占 퐉, a particle diameter of 0 to 1.5 占 퐉, a particle diameter of 0 to 1.0 占 퐉, a particle diameter of 0 to 0.8 占 퐉, , Particle diameters of 0 to 0.3 mu m, etc., may be formed at intervals.

However, the gap between the particle diameters can be appropriately adjusted without being limited thereto. In some cases, the classification method may be changed so that one category does not overlap with another category. In addition, the number of categories can be set to, for example, 10 or more, 16, 30, or the like. Thus, the depicted classification is illustrative only for the purpose of illustration and is not necessarily to be limited thereby.

The sampling module (see 20 in FIG. 1 and FIG. 3) can collect dust by particle size as described above, and thus, different mass concentrations M1 to M11 from each other as shown in FIG. 5 (a) Category. ≪ / RTI > 1) can calculate the volume densities V1 to V11 corresponding to the respective categories from the measured values or the classification values of the optical measuring module (see Figs. 1 and 2 of Fig. 2) An accurate value can be calculated by correcting the volume concentration (for example, V1) calculated for the dust particle category (for example, P1) on the basis of the mass concentration (for example, M1) provided for the category . By applying this to a plurality of different dust particle categories P1 to P11 in parallel, more accurate measurement results can be calculated for each dust particle classified by particle size.

Meanwhile, the dust measuring apparatus 1 according to the embodiment of the present invention calculates the mass calculation value by applying the density estimation value determined from the correlation between the volume concentration and the mass concentration, And the measurement accuracy can be further improved. This will be described below.

The dust measuring device 1 may include a beta side part 30 connected to the correcting part 50 as shown in FIG. The beta side portion 30 irradiates the beta ray to measure the mass concentration of the dust in a manner different from that described above. As shown in FIG. 4, the beta side part 30 includes a light source part 310 for irradiating the beta rays, a sensing part 330 located at a position opposite to the light source part 310, 330, and the like.

The filter unit 320 may be connected to a conveying device such as a roller and may collect dust in real time and may be transported together with the collected dust and passed between the light source unit 310 and the sensing unit 330. The light source unit 310 emits a beta ray in a direction toward the sensing unit 330 and the sensing unit 330 senses a beta ray passing through the filter unit 320 and arriving at the sensing unit 330. The beta side part 30 calculates the difference between the beta rays irradiated from the light source part 310 and the beta rays reaching the sensing part 330, that is, the amount of light corresponding to the vanished beta rays absorbed by the dust collected in the filter part 320 The mass concentration of the dust can be measured in real time.

The calculating unit 40 can determine the density estimated value of the dust particles from the correlation between the aforementioned volume concentration and the mass concentration (mass concentration obtained from the dust of the sampling module). That is, when the correlation between the volume concentration and the mass concentration is linearly confirmed as described above, the density estimation value determined by the proportionality constant indicating the proportional relationship, that is, the mass / volume, can be determined from the proportional relationship between the volume concentration and the mass concentration. The calculation unit 40 calculates the mass calculation value of the dust particle measured by applying the density estimation value to the volume concentration or the like, and the correction unit 50 compares the mass calculation value with the mass concentration measured by the beta side-surface unit 30 It is possible to confirm the correlation more accurately and correct the mass calculation value more accurately. The correlation can be statistically determined by a regression equation or the like as described above, and the correction value for the dust particle mass value can be more accurately corrected by calculating the correction factor and calculating the mass calculation value or the like.

In particular, the calculating unit 40 can determine the density estimated value for each of the plurality of categories classified based on the particle size of the dust particles. As described above, since the mass concentration and the bulk density are respectively provided and calculated for each of a plurality of categories classified on the basis of the particle size (see Fig. 5), the density estimation value is very easily obtained for the dust particles corresponding to each of the plurality of categories Can be determined. That is, as described above, the sampling module 20 captures dust by a particle size, which is a reference to be classified into a plurality of categories, including the dust catcher 210. In the calculating unit 40, Since the volume concentration can be calculated for each of a plurality of categories that classify particles by particle size, the calculation unit 40 calculates the mass concentration of the dusts captured by the sampling module 20 by the particle size, It is possible to easily determine the density estimated value for each of the plurality of categories of dust particles classified on the basis of the particle size from the correlation of the respective volume concentrations of the dust particles calculated for each particle size.

Therefore, by applying this, a mass calculation value for each of a plurality of dust particle categories classified by particle diameter is calculated and compared with a mass concentration measured by the beta side-portion 30, so that correction for each of a plurality of dust particle categories is made . In this way, measurements on dust particles classified into a plurality of different categories or channels can be made very accurately.

In this case, the beta side edge portion 30 uses the above-described particle separating device (see 212 in Fig. 3) or the like to measure the particle size of the dust collected in the filter portion (see 320 in Fig. 4) So that the dust can be collected by particle size, and the mass concentration corresponding to each of the plurality of categories can be measured and provided to the corrector 50.

The measured result can be transmitted to the display unit 60 and displayed. The resultant value can be expressed by the volume concentration of the dust particles, the mass calculation value, etc., which can be measured in real time but corrected and calculated to be a very accurate value. In addition, the volume concentration, the mass calculation value, and the like for each of a plurality of categories classified on the basis of the particle size of dust particles can be displayed for each of a plurality of categories, and this is also measured in real time, .

1, the dust measuring apparatus 1 may include a data storage unit 70, a control module 80, and a communication module 90 to store the recorded data, Or control the device by communicating externally in a wireless manner.

The data storage unit 70 can be operated by the correction unit 50 and the arithmetic unit 40, and can classify and store the processed data and the like in accordance with time order and the like. The data storage unit 70 may store data obtained from at least one of the calculation unit 40, the correction unit 50, the optical measurement module 10, and the sampling module 20, (Which may include mass concentration, information on the sampling process of the sampling module, sampling environment, and the like) sequentially transmitted to the calibration module 50, and then the control module 80 Can be provided. The data storage unit 70 may be configured to directly exchange data with the sampling module 20 or the like in a wired or wireless communication manner.

The control module 80 can store or process the data of the data storage unit 70 by time and transmits control signals in a wired or wireless manner based on the control signals to the sampling module 20, The operation of the side part 30 and the like can be controlled. Particularly, the sampling module 20 can be efficiently controlled in consideration of the sampling time of the sampling module 20, the sampling stop time, the resampling time, and the like based on the transmission data of the sampling module 20. The control module 80 can also be configured to directly exchange data with the sampling module 20, the optical measurement module 10, the beta side panel 30, etc. in a wired or wireless communication manner.

The communication module 90 receives a control signal from the outside of the dust measurement device 1 and transmits the control signal to the control module 80 or the like so that the sampling module 20, the optical measurement module 10, the beta side part 30, . The device can be operated to perform a desired function by operating a device driving program (app) installed in, for example, a smart phone, and the control signal can be transmitted to the communication module 90 via the Internet, a repeater, Can be input. By utilizing such a remote control function, the sampling module 20 can be operated at a desired time to collect dust, or to exchange the collection filter (see 220 in FIG. 3) mounted on the sampling module 20 and again to collect dust Can be performed very conveniently and efficiently.

Hereinafter, a dust measuring method according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 6. FIG. The description proceeds on the basis of the flowchart of Fig. 6, and the other drawings are referred to in a referencing manner as needed.

In the dust measuring method according to an embodiment of the present invention, dust concentration is calculated (S100) by collecting dust, light is irradiated to obtain a measured value of the particle size and the number of the dust particle, (S300) of calculating the volume concentration of the dust particles from the measurement value or the classification value, and calculating the concentration of the dust particles based on the mass concentration calculated from the collected dust (Step S400). Through this, it is possible to measure the dust particles in real time by irradiating the light, and correct the dust particles with the reference obtained from the collected dusts, thereby making accurate measurement.

The dust measurement method according to an embodiment of the present invention may further include determining (S500) an estimated density value of the dust particles from a correlation between the volume concentration of the dust particles and the concentration of mass of the collected dusts, (S600), calculating a mass calculation value of the dust particle by applying the determined density estimation value (S700), and comparing the mass calculation value with the mass concentration measured by irradiating the Beta line (S800) Further, it is possible to configure the calibration to be performed more than once for the reference measured in a different manner. Therefore, it is possible to calculate a highly reliable result even though the measurement of dust particles is performed in real time.

Hereinafter, each step will be described in more detail with reference to the drawings.

First, the concentration of mass of dust collected by collecting dust is calculated (S100). The dust can be easily collected using the sampling module 20 as shown in FIG. Particularly, it is possible to capture dust by particle size using the above-described dust capturing part 210 and collect the collected dust, and the mass concentration of collected dust can be calculated by each particle diameter of the dust as described above. For example, the sampled dust collected in the sampling module 20 may be separated to measure the mass, and the mass of the dust per unit volume of the introduced fluid (air including dust, etc.) during collection of the dust may be converted into mass concentration have. The collection of dust is performed for a predetermined time interval, and can be performed in parallel temporally and spatially with the step of measuring the diameter and number of the dust particles by irradiating the light to be described later. However, it is desirable that this step be performed at a point earlier than the step of irradiating the light so that the reference value can be immediately provided in the real time measurement.

Thereafter, light is irradiated to obtain the measured values of the particle size and the number of the dust particles, and the classified values are obtained by dividing the dust particles into a plurality of categories based on the particle size (S200). The light to be irradiated may be laser light, and the scattering light scattered by the dust particles is detected using the optical measuring module 10 as shown in FIG. 2, and the particle diameter of the dust particles contained in the fluid flowing through the flow path 110, You can proceed with the measurement of the number. In this case, the classification value obtained by classifying the plurality of categories based on the particle size may include a distribution value for the number of dust particles classified by each particle size. For example, when the particle diameter is X +? X It is possible to obtain information on how many dust particles in the category have been measured by classifying the dust particles between the micrometers into one category. The range of the particle size for classifying the category, the interval of the particle size, and the like can be changed as needed, and the number of the dust particles can be grasped by dividing dust particles into a plurality of categories or channels.

The volume concentration of the dust particles is calculated in real time from the measurement value or the classification value of the dust particles thus measured (S300). The measurement values or the classification values of the dust particles are input to the calculation unit 40 as shown in FIG. 1, and the volume concentration can be calculated by a constant formula. For example, the volume of dust particles estimated based on the particle size of the dust particles measured in real time and the number of the measured dust particles are calculated, and the volume of the dust particles per volume of the introduced fluid during the measurement of the dust particles , The volume concentration can be calculated.

The volume concentration of the dust particles thus calculated can be corrected based on the mass concentration of the dust collected from the sampling module or the like (S400). That is, through the correction unit 50 and the like as shown in FIG. 1, the correlation coefficient between the bulk concentration and the mass concentration is obtained as described above, and the correction coefficient and the like are calculated. The volume concentration can be more accurately corrected based on the mass concentration. This correction is made for each dust particle category classified on the basis of particle size, so that accurate measurement can be made for each of a plurality of dust particle categories.

On the other hand, the correlation between the volume concentration of the dust particles and the mass concentration of the collected dust can be linear, and the density of the dust particles can be determined from the correlation between the volume concentration and the mass concentration (S500). The density estimate may be determined as a proportionality constant having a dimension of mass / volume determined from the linearity of the volume concentration and the mass concentration, and the volume concentration and the mass concentration correlation corresponding to each of the plurality of dust particle categories, Using the relationship, the density estimate can be determined for each of a plurality of categories classified based on the particle size of the dust particles.

When the estimated density value is determined in this manner, the mass concentration of the dust is measured by irradiating the Beta line (S600), and the calculated mass density value of the dust particle is calculated by applying the determined density density value (S700) Can be compared with the measured mass concentration by irradiating the beta ray (S800). The beta rays can be irradiated using the beta side portion 30 as shown in FIG. 4, and the mass of the dust collected in the filter portion 320 by grasping the amount of light and the like irradiated and absorbed by the filter portion 320 The concentration can be measured in real time. Therefore, it is possible to more precisely recalibrate the real-time calculation value of the dust particles by using the mass concentration measured by the beta ray measurement method as a reference again.

As described above, the beta side-edge portion 30 limits the particle size of the dust to be collected using, for example, a particle separating device (see 212 in FIG. 3), and collects the dust by particle size, And the mass concentration of the liquid. Therefore, the density estimation value determined for each of the plurality of categories can be applied to calculate the mass calculation value for each of the plurality of categories, and it can be compared with the mass concentration measured by the beta side-area determination unit 30 for each of the plurality of categories. Therefore, the calculated mass calculation values and the like for each of a plurality of categories of dust particles classified on the basis of the particle size can be corrected very easily (s900). The resultant value thus calculated can be displayed through the display unit 60 as shown in FIG. 1 (S1000).

As described above, the calculation result of the dust measured in real time using the dust measuring method according to one embodiment of the present invention can be corrected very accurately using at least two criteria measured in different ways. Therefore, the mass calculation value of the dust particles contained in the fluid can be measured in real time, and highly reliable results can be obtained.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be taken in conjunction with the present invention. You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

1: dust measuring device 10: optical measuring module
20: Sampling module 30: Beta side panel
40: operation unit 50:
60: Display unit 70: Data storage unit
80: control module 90: communication module
110: EURO 120: Light irradiation unit
130: optical detector 140: fluid pump
150: control unit 210: dust catching unit
211: dust path 212: particle separator
220: collection filter 310: light source
320: filter unit 330: sensing unit
A: dust particles L: light
L ': scattered light M1 to M11: mass concentration
P1 to P11: Dust particle category V1 to V11: Volume concentration

Claims (18)

An optical measuring module for irradiating light to obtain measured values of the particle size and the number of the dust particles, and classifying the dust particles into a plurality of categories based on the particle size to obtain a classification value;
A sampling module for collecting dust separately from the optical measurement module;
A calculator for calculating a dust concentration from the measured value or the classified value; And
And a correction unit for correcting the dust concentration calculated by the calculation unit based on the concentration of the dust collected in the sampling module. The method according to claim 1,
Wherein the density of the dust collected in the sampling module is a mass concentration, and the dust concentration calculated in the calculating section is a volume concentration. 3. The method of claim 2,
Wherein the volume concentration is linearly correlated with the mass concentration. 3. The method of claim 2,
Wherein the calculation unit determines an estimated density value of the dust particles from a correlation between the volume concentration and the mass concentration. 5. The method of claim 4,
Wherein the calculation unit determines the density estimation value for each of a plurality of categories classified based on the particle size of the dust particles. 5. The method of claim 4,
And a beta ray measuring unit for irradiating the beta ray to measure the mass concentration of the dust,
Wherein the calculation unit calculates the mass calculation value of the dust particle by applying the density estimation value, and the correction unit compares the mass calculation value with the mass concentration measured by the beta ray measurement unit. The method according to claim 1,
The optical measuring module measures the particle size and the number of the dust particles inside the fluid in real time by irradiating the fluid containing the dust particles with the light,
Wherein the sampling module samples and collects dust during a unit time interval. The method according to claim 1,
The optical measuring module measures the particle size and the number of the dust particles in real time by irradiating the laser light, detecting the scattered light of the laser light,
Wherein the sampling module collects dust adhering to the filter for a unit time interval. The method according to claim 1,
Wherein the sampling module includes a dust capturing unit for capturing dust by a particle size serving as a reference to be classified into the plurality of categories. 10. The method of claim 9,
Wherein the dust concentration calculated by the calculation unit is a calculated volume concentration for each of the plurality of categories,
A density estimation value for each of a plurality of categories of the dust particles classified on the basis of the particle size is calculated from the correlation between the mass concentration of the dust captured by each particle size in the sampling module and the volume concentration calculated for each of the plurality of categories Determining dust measuring device. The method according to claim 1,
A data storage unit for storing data obtained by at least one of the operation unit, the correction unit, the optical measurement module, and the sampling module,
And a control module for controlling at least one of the sampling module and the optical measurement module based on the data stored in the data storage unit. The method according to claim 1,
And a communication module for receiving at least one of the sampling module and the optical measurement module in response to a control signal from the outside. (a) collecting dust and calculating a mass concentration;
(b) irradiating light to obtain a measured value of the particle size and the number of the dust particles, and classifying the dust particles into a plurality of categories based on particle diameters to obtain a classification value;
(c) calculating the volume concentration of the dust particles from the measured value or the classified value; And
(d) correcting the volume concentration of the step (c) based on the mass concentration calculated in the step (a). 14. The method of claim 13,
Wherein the volume concentration of step (c) is linearly correlated with the mass concentration calculated in step (a). 15. The method of claim 14,
(e) determining an estimated density value of the dust particles from a correlation between the volume concentration of the step (c) and the mass concentration of the step (a). 16. The method of claim 15,
Wherein the density estimation value of the step (e) is determined for each of a plurality of categories classified based on the particle size of the dust particles. 16. The method of claim 15,
(f) measuring the mass concentration of the dust by irradiating the beta rays, calculating the mass calculation value of the dust particles by applying the density estimation value of the step (e), and comparing the mass calculation value with the measured mass And comparing the concentration with the concentration. 16. The method of claim 15,
Wherein the mass concentration of the dust particles is calculated for each particle diameter of the dust particles by the particle diameter, the volume concentration of the dust particles is calculated for each particle diameter of the dust particles, and the density estimation value of the step (e) , The dust concentration is determined for each of the plurality of categories of the dust particles classified on the basis of the particle size from the correlation between the mass concentration of the dust captured per particle size and the volume concentration of the dust particle calculated for each particle size.

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