Particulate matter concentration detection device and particulate matter concentration detection method

Abstract

The invention provides a particulate matter concentration detection device and a particulate matter concentration detection method. The particulate matter concentration detection device comprises a particulate matter density detector used for detecting the density of particulate matters in an environment to be monitored; the particulate matter separation unit is used for separating target particulate matters; a suction port of the air pump is communicated with the flow channel outlet of the particulate matter separation unit; the concentration detection unit is used for detecting the particulate matter concentration of the target particulate matter, the air pump is provided with a flow adjusting part, and the flow of the air pump can be adjusted through the flow adjusting part on the basis of the particulate matter density detected by the particulate matter density detector.

Description

TECHNICAL FIELD

[0001] The present application relates to a particulate matter concentration detection device and a particulate matter concentration detection method. BACKGROUND

[0002] As an example of a particulate matter concentration detection device, a dust aerosol particulate matter concentration detection device can be cited. A virtual impactor (also referred to as an aerosol separator) is an important device for particle size separation in the process of aerosol collection and monitoring, and its main working principle is to separate particles of different sizes from a high-speed gas flow by using the different inertial forces they experience.

[0003] For example, patent document CN214539364U discloses a sampling and detection integrated virtual impactor, which can separate particles and simultaneously detect particle mass, and can be directly used as a terminal device. SUMMARY

[0004] As in the above-mentioned patent document CN214539364U, virtual impactors are generally designed to detect particulate matter concentration in a single environment. However, in different environments, the density of particulate matter is not the same. Therefore, if the above-mentioned virtual impactor is used, there is a case where the separation efficiency is reduced when detecting the concentration in different environments to be monitored.

[0005] Therefore, the purpose of the present application is to provide a particulate matter concentration detection device and a particulate matter concentration detection method that can ensure separation efficiency even if the density of particulate matter in the environment to be monitored changes.

[0006] According to a technical solution of the present application, a particulate matter concentration detection device is provided, which includes: a particulate matter density detector for detecting the density of particulate matter in an environment to be monitored; a particulate matter separation unit for separating target particulate matter; a gas pump having a suction port in communication with an outlet of a flow passage of the particulate matter separation unit; and a concentration detection unit for detecting the particulate matter concentration of the target particulate matter, the gas pump having a flow rate adjusting portion, and the flow rate of the gas pump can be adjusted by the flow rate adjusting portion based on the particulate matter density detected by the particulate matter density detector.

[0007] In at least one embodiment, based on the detection result of the particulate matter density, the flow rate adjusting portion can adjust the flow rate of the gas pump to a flow rate value corresponding to the particulate matter density according to the following relationship,

[0008] y = ax -b

[0009] Wherein, y is the density of particulate matter in the environment to be monitored, in kg / m3; x is the flow of the air pump, in L / min, a = 2000-150000, b = -1.5-1.

[0010] In at least one embodiment, in the relationship, a = 2112.9408-139259.618, b = -1.3148-1.1857.

[0011] In at least one embodiment, in the flow direction of the particulate matter, the particulate matter separation unit sequentially comprises, from the upstream side to the downstream side, a particulate matter inlet, a separation area, and a particulate matter collection part, the particulate matter collection part comprising a secondary flow channel and a primary flow channel, the air flow pressure of the secondary flow channel being set to be greater than the air flow pressure of the primary flow channel.

[0012] In at least one embodiment, the inner diameter of the secondary flow channel is smaller than the inner diameter of the primary flow channel.

[0013] In at least one embodiment, the particulate matter separation unit comprises a pump mounting groove and a pump cover mounted in the pump mounting groove, a through hole is provided in the pump cover, the through hole penetrates the pump cover along the thickness direction of the pump cover, and the suction port of the air pump is connected with the flow channel outlet of the particulate matter separation unit through the through hole.

[0014] In at least one embodiment, the particulate matter concentration detection device further comprises a controller electrically connected with the particulate matter density detector and the air pump respectively, the controller controls the flow adjusting part according to the information transmitted from the particulate matter density detector, thereby adjusting the flow of the air pump.

[0015] In at least one embodiment, the concentration detection unit comprises a particulate matter sensor provided in the primary flow channel.

[0016] In at least one embodiment, the particulate matter sensor is a quartz crystal microbalance mass sensor.

[0017] In at least one embodiment, the particulate matter concentration detection device further comprises a controller electrically connected with the particulate matter density detector, the air pump and the particulate matter sensor respectively, and the controller is electrically connected with an external terminal through a signal transmitter.

[0018] According to another technical scheme of the present application, a particulate matter concentration detection method is provided, which utilizes the particulate matter concentration detection device as described above to detect the concentration of particulate matter, comprising the following steps: detecting the density of particulate matter in the environment to be monitored by using the particulate matter density detector; and adjusting the flow of the air pump based on the detected density of particulate matter.

[0019] In at least one embodiment, the flow rate of the air pump is adjusted to a flow rate value corresponding to the particulate matter density according to the following relational expression,

[0020] y = ax -b

[0021] wherein y is the particulate matter density in the environment to be monitored, in kg / m3; x is the flow rate of the air pump, in L / min, a = 2000-150000, and b = -1.5-1.

[0022] In at least one embodiment, in the relational expression, a = 2112.9408-139259.618, and b = -1.3148-1.1857.

[0023] In at least one embodiment, the flow rate of the air pump is adjusted to a flow rate value corresponding to the particulate matter density by manual adjustment.

[0024] In at least one embodiment, the relational expression is preset in a controller, and the controller is electrically connected to the particulate matter density detector and the air pump, the controller controls the flow rate adjustment unit according to information transmitted from the particulate matter density detector, and the flow rate of the air pump is adjusted to a flow rate value corresponding to the particulate matter density by automatic adjustment.

[0025] According to the present application, a particulate matter concentration detection device and a particulate matter concentration detection method can be provided, which can ensure separation efficiency even if the particulate matter density in the environment to be monitored changes. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 is a structural block diagram of a particulate matter concentration detection device for explaining an embodiment of the present application.

[0027] Figure 2 is a perspective view of a particulate matter concentration detection device for explaining an embodiment of the present application.

[0028] Figure 3 is a side view of a particulate matter concentration detection device for explaining an embodiment of the present application.

[0029] Figure 4 is a schematic view of a flow passage of a particulate matter separation unit of a particulate matter concentration detection device for explaining an embodiment of the present application.

[0030] Figure 5 is a graph of the relationship between the particulate matter density and the flow rate when the target particulate matter is PM1.

[0031] Figure 6This is a graph showing the relationship between particulate matter density and flow rate when the target particulate matter is PM2.

[0032] Figure 7 This is a graph showing the relationship between particulate matter density and flow rate when the target particulate matter is PM4.

[0033] Explanation of reference numerals in the attached figures

[0034] 1: Air pump; 2: Particulate matter density detector; 3: Controller; 4: Particulate matter sensor; 5: Particulate matter separation unit; 51: Housing; 52: Particulate matter inlet; 53: Separation area; 54: Secondary flow channel; 55: Main flow channel; 56: Pump mounting slot; 57: Pump cover; 571: Through hole; 6: Signal transmitter; 7: External terminal. Detailed Implementation

[0035] The specific embodiments of this application will be described below with reference to the accompanying drawings. It should be noted that the following embodiments are merely illustrative of the technical solutions of this application and do not limit the scope of protection of this application. Modifications and alterations made within the scope of the technical concept of this application are all within the scope of protection of this application. Furthermore, all the accompanying drawings are schematic diagrams, and there may be discrepancies between the scale and the actual scale.

[0036] Furthermore, the particulate matter concentration detection device and method of this application can be applied to research such as the study of nanoparticle characteristics and the calibration of environmental monitoring instruments, as well as to operations that directly detect dust in the atmosphere. The particulate matter concentration detection device and method of this application can be applied to various fields according to actual needs.

[0037] Particulate Matter Concentration Detection Device

[0038] In one embodiment of this application, such as Figures 1 to 4 As shown, the particulate matter concentration detection device includes an air pump 1, a particulate matter density detector 2, a controller 3, a particulate matter sensor 4, a particulate matter separation unit 5, a signal transmitter 6, and an external terminal 7.

[0039] The particulate density detector 2 is used to detect the density of particulate matter in the environment to be monitored. The particulate density detector 2 can be externally mounted on the particulate separation unit 5 or integrated into the particulate separation unit 5. When integrated into the particulate separation unit 5, as an example, a suitable particulate sensor in the art can be used, and the particulate sensor can be mounted on the housing 51 of the particulate separation unit 5. For example, a laser scattering sensor, an infrared absorption sensor, a capacitive sensor, and an inductive sensor can be used.

[0040] The air pump 1 is of a variable flow structure, and has a flow rate adjusting portion. The specific structure of the air pump 1 can adopt a structure appropriate in the art, and detailed description thereof is omitted herein. As an example, a micro air pump can be adopted. The suction port of the air pump 1 is connected to the flow passage outlet of the particulate matter separation unit 5, for facilitating the flow and separation of particulate matter.

[0041] As shown in Figures 2 to 4 , the particulate matter separation unit 5 includes a housing 51, and the housing 51 is provided with a particulate matter inlet 52, a separation region 53, and a particulate matter collection portion. In the flow direction of the particulate matter, the particulate matter inlet 52, the separation region 53, and the particulate matter collection portion are sequentially arranged from the upstream side to the downstream side. The particulate matter collection portion includes a sub flow passage 54 and a main flow passage 55. Specifically, as shown in Figure 4 , downstream of the separation region 53 connected to the particulate matter inlet 52, the sub flow passage 54 and the main flow passages 55 located on both sides of the sub flow passage 54 are branched. It can be provided that the sub flow passage 54 is a serpentine flow passage, the main flow passages 55 are symmetrically arranged on both sides of the sub flow passage 54, and the inner diameter of the sub flow passage 54 is smaller than the inner diameter of the main flow passages 55. In this case, the flow passage path of the sub flow passage 54 is long and narrow, so when the air pump 1 is pumping, the air flow pressure in the sub flow passage 54 is greater than the air flow pressure in the main flow passages 55.

[0042] As shown in Figure 2 , the housing 51 is provided with a pump mounting groove 56 and a pump cover 57. The shape of the pump mounting groove 56 matches the shape of the pump cover 57, and the pump cover 57 is mounted in the pump mounting groove 56 by embedding the pump cover 57 in the pump mounting groove 56. In addition, the pump cover 57 is provided with a through hole 571 that penetrates the pump cover 57 along the thickness direction of the pump cover 57. The suction port of the air pump 1 is connected to the flow passage outlets of the sub flow passage 54 and the main flow passages 55 of the particulate matter separation unit 5 via the through hole 571. However, it is not limited to this, and other appropriate structures can be used to connect the suction port of the air pump 1 to the flow passage outlets of the sub flow passage 54 and the main flow passages 55 of the particulate matter separation unit 5.

[0043] As shown in Figure 4 , in the particulate matter separation unit 5, the particulate matter entering through the particulate matter inlet 52 sequentially enters the separation region 53 and the particulate matter collection portion. At the particulate matter collection portion, most of the particulate matter with a particle size less than or equal to the target particle size can be made to enter the main flow passages 55 on both sides by using the suction force of the air pump 1, and the target particulate matter entering the main flow passages 55 is collected for detection and analysis. In addition, the particulate matter with a particle size greater than the target particle size enters the sub flow passage 54 due to the greater inertial force, and is then discharged. As an example, in the case of PM1, most of the particulate matter with a particle size less than or equal to 1 μm can be made to enter the main flow passages 55 on both sides, and the particulate matter with a particle size greater than 1 μm is discharged through the sub flow passage 54.

[0044] In addition, as shown in Figure 2 and Figure 3 shown, a particulate matter sensor 4 can also be arranged in the main flow channel 55 as a concentration detection unit for detecting the concentration of the target particulate matter. The particulate matter sensor 4 can adopt a suitable structure in the art, and the specific structure is omitted here. As an example, a quartz crystal microbalance mass sensor can be adopted, which can detect the mass of the particulate matter with high precision through conductive silver glue, and the whole can be inserted into the housing 51 and located at the side of the secondary flow channel 54 and the main flow channel 55.

[0045] In an embodiment of the present application, as shown in Figure 1 shown, the particulate matter density detector 2, the air pump 1 and the particulate matter sensor 4 can be electrically connected to the controller 3, and the controller 3 is in communication connection with the external terminal 7 through the signal transmitter 6. Thus, the monitoring data of the particulate matter density detector 2 and the particulate matter sensor 4 can be directly transmitted to the controller 3, and then to the terminal device such as a mobile phone or a computer, and the controller 3 can be used for control and automatic adjustment of the flow of the air pump 1.

[0046] In addition, the particulate matter density detector 2 and the air pump 1 can also be electrically connected to the controller 3, and the controller 3 controls the flow adjustment part of the air pump 1 according to the information transmitted from the particulate matter density detector 2, so as to automatically adjust the flow of the air pump. The controller 3 can adopt a suitable structure in the art, and the specific structure is omitted here. As an example, the controller 3 can adopt a single-chip microcomputer.

[0047] In an embodiment of the present application, the following relationship (1) and the initial setting value of the flow of the air pump 1 can be pre-stored in the controller 3. The controller 3 can perform the following control: receiving the detection result of the particulate matter density transmitted from the particulate matter density detector 2, substituting the detection result into the following relationship (1), and calculating the corresponding flow value of the air pump 1. The controller 3 controls the flow of the air pump 1 to be adjusted to the calculation result according to the comparison result of the calculation result and the initial setting value of the flow of the air pump 1. In addition, after each adjustment, the controller 3 will store the adjusted flow setting value of the air pump 1 in real time, and compare the adjusted flow setting value with the next new calculation result. Thus, the controller 3 can realize the adaptive adjustment of the flow of the air pump 1.

[0048] y = ax b (1)

[0049] wherein y is the density of particulate matter in the environment to be monitored, in kg / m3, and x is the flow rate of the air pump, in L / min, and the coefficients a and b can be set to a = 2000 to 150000 and b = -1.5 to -1, respectively. According to the test results, it can be confirmed that, when the coefficients a and b satisfy a = 2000 to 150000 and b = -1.5 to -1, the flow rate of the air pump calculated based on the above-described relationship (1) can ensure the separation efficiency of the particulate matter separation unit 5 in different environments. In addition, the coefficients a and b in the above-described relationship (1) stored in advance in the controller 3 can also be stored as a plurality of sets of specific data according to the size of the target particulate matter, etc. The specific data can be determined, for example, according to the determination process of the relationship (1) described below.

[0050] <Particulate matter concentration detection method>

[0051] The particulate matter concentration detection device according to the present application can perform particulate matter concentration detection as follows.

[0052] The particulate matter density in the environment to be monitored is detected by the particulate matter density detector 2, and based on the detected particulate matter density, the flow rate of the air pump 1 is adjusted.

[0053] Preferably, the particulate matter density in the environment to be monitored obtained is substituted into the following relationship (1) to calculate the corresponding flow rate value of the air pump.

[0054] y = ax b (1)

[0055] wherein y is the density of particulate matter in the environment to be monitored, in kg / m3, and x is the flow rate of the air pump, in L / min, and the coefficients a and b can be set to a = 2000 to 150000 and b = -1.5 to -1, respectively. According to the test results, it can be confirmed that, when the coefficients a and b satisfy a = 2000 to 150000 and b = -1.5 to -1, the flow rate of the air pump calculated based on the above-described relationship (1) can ensure the separation efficiency of the particulate matter separation unit 5 in different environments. In addition, the coefficients a and b in the above-described relationship (1) stored in advance in the controller 3 can also be stored as a plurality of sets of specific data according to the size of the target particulate matter, etc. The specific data can be determined, for example, according to the determination process of the relationship (1) described below.

[0056] The flow rate of the air pump 1 is adjusted to the above-described flow rate value calculated by the flow rate adjustment unit of the air pump 1. For example, the flow rate of the air pump 1 can be adjusted by controlling the inlet and outlet valves of the air pump 1 and installing a throttling device. However, it is not limited thereto, and other appropriate structures can also be used to adjust the flow rate of the air pump 1.

[0057] In the particulate concentration detection method of the present application, the flow rate of the air pump can be manually adjusted, or the flow rate of the air pump can be automatically adjusted. In the case of automatic adjustment, for example, the above-described relationship (1) can be set in advance in the controller 3, and the controller 3 controls the flow rate of the air pump 1 to an appropriate value based on the above-described relationship (1) based on the information on the particulate density in the environment to be monitored transmitted from the particulate density detector 2.

[0058] <Relationship (1) determination>

[0059] The inventors of the present application have found that the particulate density in the environment to be monitored and the flow rate of the air pump have a large influence on the separation efficiency of particulates, and have obtained the above-described relationship (1) by simulation to obtain the flow rate at which the same particulate separation unit 5 achieves the best separation efficiency in different particulate density environments, and have completed the particulate concentration detection device of the present application based on the relationship (1).

[0060] Hereinafter, the case of PM1 will be described in detail, but the present application is not limited to the case of PM1, and can also be applied to the case of other target particulates, such as PM2, PM2.5, PM4, and the like. Among them, PM1 refers to particulates having a diameter of less than or equal to 1 pm, PM2 refers to particulates having a diameter of less than or equal to 2 pm, PM2.5 refers to particulates having a diameter of less than or equal to 2.5 pm, and PM4 refers to particulates having a diameter of less than or equal to 4 pm.

[0061] Taking the case of PM1 as an example, the determination process of the above-described relationship (1) is as follows.

[0062] Mesh independence verification: After the design of the key structural parameters is completed, the two-dimensional model of the particulate separation unit is meshed. Under the premise of the same model, the more the number of meshes, the higher the calculation accuracy, and the separation efficiency curve and the cut-off particle size gradually tend to be stable. The model mesh size is 0.024 mm, the boundary layer mesh is encrypted by 5 layers, and the mesh independence verification is performed. With the increase of the number of meshes, the particle cut-off diameter of the particulate separation unit gradually approaches 1 pm and gradually converges, and combining the reliability of the calculation and the economic effect, it is most reasonable to divide 130,000 meshes.

[0063] Calculation method and boundary conditions: numerical analysis is performed using the ANSYS FLUENT fluid dynamics program based on the finite volume method, and a steady incompressible fluid model is used to simulate complex flow. The virtual impact inlet uses Velocity_inlet, the main flow and the secondary flow both use Pressure, the air density is 1.2 kg / m 3 , and the viscosity is 1.83 x 10 -5Pa, and the inlet velocity is 200 m / s. The gas flow can pass through the particle separation unit at a certain flow ratio by setting different pressure. The main boundary conditions and calculation methods are shown in Table 1.

[0064] Table 1

[0065] Module Boundary conditions Module Method Primary to secondary flow ratio 9:1 Fluid model k-ε model Primary to secondary flow outlet Escape Solver SIMPLE Wall Trapping Convective phase QUICK Continuous phase Air Diffusion term Least squares method Discrete Particulate matter Turbulent kinetic energy Second order upwind

[0066] After the numerical model of the particle separation unit is built, in order to meet the primary and secondary flow distribution, the secondary flow outlet pressure is simulated to simulate the flow distribution under the condition of double pump, and the curve of flow ratio changing with pressure is obtained. With the increase of the secondary flow outlet pressure, more gas flow enters the primary flow channel, and when the secondary flow outlet pressure is 238.5 Pa, about 90% of the inlet flow enters the primary flow.

[0067] Then the internal flow field of the particle separation unit is solved by numerical simulation to explore the distribution of the pressure field and velocity field inside the particle separation unit, and then the flow control structure design is completed to realize the single pump control flow ratio. The simulation results show that the new type of micro-channel flow control structure makes the secondary flow pressure higher than the primary flow pressure, and the primary and secondary flow ratio reaches 9:1. This means that the new type of flow control structure can realize the flow distribution of the particle separation unit under the condition of single pump.

[0068] Then the discrete phase module in Fluent is used to inject particles into the particle separation unit, and the trajectory analysis is carried out. Since the structure change of the secondary flow channel will not affect the particle separation effect, in order to facilitate particle simulation, the secondary flow outlet pressure is set to 238.5 Pa. The particle density is 1200 kg / m 3 , the particle dispersion degree is uniformly distributed according to 0.1-8 μm, all particles are assumed to be spherical, and the particles are injected into the particle separation unit at an inlet velocity of 22.4 m / s. The results show that most of the fine particles (0.1 μm) flow along the streamline into the primary flow, while for the particles with larger particle size (8 μm), they tend to rely on inertial motion and flow into the secondary flow channel, and the particles with particle size of 1 μm flow into the primary flow and the secondary flow with a separation efficiency of about 50%.

[0069] After obtaining the separation effect of different particles, in order to obtain the separation efficiency of the particles in the primary flow channel, the separation efficiency curve of particles with different particle sizes (curve fitted according to the numerical simulation results) is simulated. The data show that most of the PM1 enters the primary flow due to low inertial force, and only a small part of large particles is affected by the gas flow. The particles with a target cutting particle size of 1 μm have a primary flow separation efficiency of 50%, and the separation curve has a good steepness, indicating that the single pump particle separation unit has good separation performance in separating aerosol particles. It shows that the design and research of the single pump particle separation unit are realized through the numerical model construction.

[0070] In addition, Figure 5 is a graph of the relationship between the particulate matter density and the flow rate in the case where the target particulate matter is PM1. Figure 6 is a graph of the relationship between the particulate matter density and the flow rate in the case where the target particulate matter is PM2. Figure 7 is a graph of the relationship between the particulate matter density and the flow rate in the case where the target particulate matter is PM4.

[0071] As Figures 5 to 7 shown, in the case of PM1, the above relationship (1) becomes y = 139259.618x -1.3148 In the case of PM2, the above relationship (1) becomes y = 19196.9636x -1.26992 In the case of PM4, the above relationship (1) becomes y = 2112.9408x -1.1857 Therefore, in an embodiment of the present application, in the above relationship (1), it is preferable that a = 2112.9408-139259.618, b = -1.3148- -1.1857, and more preferable that a = 2112.9408-19196.9636, b = -1.26992- -1.1857. In addition, in the above relationship (1), it is preferable that a = 2112.9408-19196.9636, b = -1.26992- -1.1857, and more preferable that a = 2112.9408-139259.618, b = -1.3148- -1.1857. Figures 5 to 7 2 is a coefficient of an index that measures the goodness of fit of a model, and its value is between 0-1. The closer the value of R 2 to 1, the better the model fits the data and the stronger the explanatory power of the independent variable on the dependent variable.

[0072] <Effects>

[0073] According to the present application, as described above, the particulate matter concentration detection device includes the particulate matter density detector 2 and the air pump 1 with adjustable flow rate, and can adjust the flow rate of the air pump 1 to a proper flow rate value corresponding to the particulate matter density in the environment to be monitored according to the above relationship (1). Thus, the separation efficiency of the particulate matter separation unit 5 in different environments can be ensured. For example, in the case of SiO2 particulate matter density of 2.2 g / cm 3 , air particulate matter density of 1.2 g / cm 3 , the separation of the target particulate matter can be performed in both environments, and a high separation efficiency can be ensured. Moreover, the particulate matter separation unit does not need to be redesigned as the environment to be monitored changes, and the detection cost can be reduced.

[0074] In the present application, the separation efficiency (CE) can be calculated according to the following relationship (2).

[0075] ​

[0076] wherein N major is the total primary flow outlet particle number of the primary flow channels 55 on both sides of the particulate matter separation unit 5; N minor is the secondary flow outlet particle number of the secondary flow channel 54 of the particulate matter separation unit 5; CE x The subscript x is the cut-off particle size of the corresponding target particulate matter, for example, in the case of PM1, the subscript x is 1.

[0077] According to the above structure of the present application, even if the density of particulate matter in the environment to be monitored changes, a high separation efficiency can be ensured. For example, in the case of PM2.5, under different environments, for particulate matter with a diameter of 2.5 μm, the separation efficiency can reach 50%, and for particulate matter with a diameter less than or equal to 2.5 μm, the separation efficiency can reach 80%.

[0078] In addition, according to the above structure of the present application, the flow of the air pump 1 can be manually adjusted, and the flow of the air pump 1 can also be automatically adjusted, so the degree of freedom of operation is high.

[0079] In addition, in the case of automatic adjustment, the controller 3 can be controlled according to the information of the density of particulate matter in the environment to be monitored transmitted from the particulate matter density detector 2, to realize self-adaptive adjustment of the flow of the air pump 1, thereby realizing the environmental self-adaptive function of the particulate matter separation unit 5. Thus, the burden on the operator can be further reduced, and the cost can be reduced.

[0080] In addition, in the present application, as described above, the particulate matter sensor 4 can be provided in the primary flow channel 55 for detecting the concentration of the target particulate matter. Thus, the separation of the particulate matter separation unit 5 can be fed back in real time.

[0081] In addition, in the present application, as described above, the controller 3 is in communication connection with the external terminal 7 through the signal transmitter 6, so that the monitoring data can be saved and analyzed in real time, and the work efficiency can be improved.

[0082] The present application is not limited to the above embodiments, and various modifications and improvements can be made within the scope of the technical idea of the present application. Of course, such modifications and improvements also belong to the protection scope of the present application.

Claims

1. A particulate matter concentration detecting device characterized by comprising: The particulate concentration detection device comprises: a particulate density detector for detecting a particulate density in an environment to be monitored; a particulate separation unit for separating a target particulate; a gas pump having a suction port connected to an outlet of a flow passage of the particulate separation unit; and a concentration detection unit for detecting a particulate concentration of the target particulate, the gas pump has a flow rate adjustment portion for adjusting a flow rate of the gas pump based on the particulate density detected by the particulate density detector.

2. The particulate concentration detection device according to claim 1, wherein the flow rate adjustment portion is capable of adjusting the flow rate of the gas pump to a flow rate value corresponding to the particulate density according to a relationship based on the detection result of the particulate density, y = ax -b wherein y is the particulate density in the environment to be monitored, in kg / m3, x is the flow rate of the gas pump, in L / min, a = 2000-150000, and b = -1.5-1.

3. The particulate concentration detection device according to claim 2, wherein in the relationship, a = 2112.9408-139259.618, and b = -1.3148-1.1857.

4. The particulate concentration detection device according to claim 1, wherein the particulate separation unit comprises, in order from an upstream side to a downstream side in a flow direction of the particulate, a particulate inlet, a separation region, and a particulate collection portion, the particulate collection portion comprises a secondary flow passage and a primary flow passage, and an air flow pressure of the secondary flow passage is set to be higher than an air flow pressure of the primary flow passage.

5. The particulate concentration detection device according to claim 4, wherein an inner diameter of the secondary flow passage is smaller than an inner diameter of the primary flow passage.

6. The particulate concentration detection device according to claim 1, wherein the particulate separation unit comprises a pump mounting groove and a pump cover mounted to the pump mounting groove, and a through hole is provided in the pump cover so as to pass through the pump cover in a thickness direction of the pump cover, the suction port of the gas pump is connected to the outlet of the flow passage of the particulate separation unit via the through hole.

7. The particulate concentration detection device according to any one of claims 1 to 6, further comprising a controller electrically connected to the particulate density detector and the gas pump, respectively, and configured to control the flow rate adjustment portion based on information transmitted from the particulate density detector, thereby adjusting the flow rate of the gas pump.

8. The particulate concentration detection device according to claim 4, wherein the concentration detection unit comprises a particulate sensor provided in the primary flow passage.

9. The particulate concentration detection device according to claim 8, wherein the particulate sensor is a quartz crystal microbalance mass sensor.

10. The particulate concentration detection device according to claim 8 or 9, wherein ​ The particulate matter concentration detection device further comprises a controller electrically connected with the particulate matter density detector, the air pump and the particulate matter sensor respectively, and the controller is electrically connected with an external terminal through a signal transmitter. 11.A particulate matter concentration detection method, which utilizes the particulate matter concentration detection device according to any one of claims 1 to 10 to detect the particulate matter concentration, and is characterized by comprising the steps of: detecting the particulate matter density in an environment to be monitored by using the particulate matter density detector; and adjusting the flow rate of the air pump based on the detected particulate matter density. 12.The particulate matter concentration detection method according to claim 11, wherein the flow rate of the air pump is adjusted to a flow rate value corresponding to the particulate matter density according to the following relationship: y = a x b wherein y is the particulate matter density in the environment to be monitored, and x is the flow rate of the air pump. 13.The particulate matter concentration detection method according to claim 12, wherein in the relationship, a = 2112.9408-139259.618, and b = -1.3148-1.1857. 14.The particulate matter concentration detection method according to claim 12, wherein the flow rate of the air pump is adjusted to a flow rate value corresponding to the particulate matter density by manual adjustment. 15.The particulate matter concentration detection method according to claim 12, wherein the relationship is preset in a controller, and the controller is electrically connected with the particulate matter density detector and the air pump, and the controller controls the flow rate adjustment part according to the information transmitted from the particulate matter density detector, and adjusts the flow rate of the air pump to a flow rate value corresponding to the particulate matter density by automatic adjustment. y = ax -b ​ ​ ​ ​ ​ ​ ​ ​

Images