CN212432927U - System for detecting nano particles in environmental gas - Google Patents
System for detecting nano particles in environmental gas Download PDFInfo
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- CN212432927U CN212432927U CN202021542107.6U CN202021542107U CN212432927U CN 212432927 U CN212432927 U CN 212432927U CN 202021542107 U CN202021542107 U CN 202021542107U CN 212432927 U CN212432927 U CN 212432927U
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Abstract
The utility model relates to a system for detecting nano particles in environmental gas, which comprises a gas sampling device, a particle detecting device and a particle size amplifying device; the particle size amplifying device comprises a gas compression component for amplifying the particle size of the sample gas and a gas monitoring component for setting or monitoring the state parameters of the sample gas before and after compression; the gas input end of the gas compression assembly is connected with the gas output end of the gas sampling device; the gas monitoring assembly sets a target state parameter of the sample gas, controls the gas compression assembly to release the compressed sample gas when the target state parameter is reached, so that invisible particles with the diameter of 0.002 mu m as the minimum in the sample gas are amplified into detectable water drops with the diameter range of 10 mu m-20 mu m, and utilizes the particle detection device to detect the number of the water drops so as to detect the environmental gas, thereby realizing quick response in a harmful particle generation stage, high sensitivity, low false alarm rate, wide application range and no limitation of environmental factors in the detection process.
Description
Technical Field
The utility model relates to an environmental gas monitoring technology field, more specifically say, relate to a nano particle detection system among environmental gas.
Background
In daily life, whether indoors or outdoors, a large amount of compounds exist in ambient gas, and when the compounds reach a critical condition where chemical changes occur, invisible submicron harmful particles (about 0.002 μm in diameter) are released, rapidly grow and form a pile in the environment, and when the amount reaches a critical state, the transition occurs, causing accidents.
The most common of these accidents is the occurrence of a fire. When a substance is heated to overheating, i.e. the material decomposes due to a chemical change, invisible submicron particles (about 0.002 μm in diameter) are released, and when the substance is heated continuously to reach the ignition point, carbon particles (so-called soot) begin to be generated by transformation and begin to dissolve and burn. The stage from material pyrolysis to smoke generation, which we call the "very early" stage of fire, is shown in figure 1.
With the progress of human science and technology, the performance of the nanoparticle detector is continuously improved, and many problems which cannot be solved in the past are solved. However, there are still many situations today that still challenge the capabilities of nanoparticle detection devices. In the complex environment of today, the nano particle detection equipment is required to have the capabilities of extremely high sensitivity, low false alarm rate, wide application occasions, no limitation of environmental factors and the like.
However, the existing nanoparticle detector has a single function, and cannot simultaneously realize the above capabilities, so that the nanoparticle detector cannot timely respond to harmful particles in environmental gas in a generation stage, accidents are caused, and great threats are caused to the property of enterprises and the personal safety of the masses.
SUMMERY OF THE UTILITY MODEL
The to-be-solved technical problem of the present invention is to provide an ambient gas nanoparticle detection system capable of rapidly reacting in the production stage of harmful particles in ambient gas, in view of the above-mentioned drawbacks of the prior art.
The utility model provides a technical scheme that its technical problem adopted is: constructing a system for detecting nano particles in environmental gas, which comprises a gas sampling device and a particle detection device; also comprises a grain diameter amplifying device; the particle size amplifying device comprises a gas compression component for amplifying the particle size of the nano particles in the sample gas and a gas monitoring component for setting or monitoring state parameters of the sample gas before and after compression; the gas input end of the gas compression assembly is connected with the gas output end of the gas sampling device;
the gas monitoring assembly sets a target state parameter of the sample gas, and controls the gas compression assembly to release the compressed sample gas when the target state parameter is reached, so that invisible nanoparticles in the sample gas are respectively condensed into small water drops with detectable diameters; the particle detection means detects the number of the water droplets when the water droplets are generated.
Further, the gas compression assembly includes: a gas compression pump, a gas compression chamber, and a gas release control; the gas input end of the gas compression pump is connected with the gas output end of the gas sampling device; and the gas output end of the gas compression pump is connected with the gas input end of the gas compression chamber.
Further, the target state parameter comprises a target pressure; when the gas compression chamber volume is determined, the target pressure is set by setting the compression frequency and/or gas flow rate of the gas compression pump, and the compression time during compression.
Further, the gas monitoring assembly comprises a gas sensing unit; the gas sensing unit is arranged in the gas compression chamber to monitor various state parameters of the sample gas before and after compression.
Further, the gas monitoring assembly further comprises a control unit; the control unit is electrically connected with the gas sensing unit, the gas compression pump and the gas release control part respectively so as to set target parameters of the sample gas compression and control the gas release control part to release gas when the sample gas reaches the target parameters.
Further, the gas sensing unit includes, but is not limited to: a pressure sensor, a temperature sensor and a humidity sensor; the pressure sensor, the temperature sensor and the humidity sensor are all arranged in the gas compression chamber and are electrically connected with the control unit.
Further, the gas compression chamber is an adiabatic chamber.
Further, the gas sampling device comprises a fan, a sampling pipe, a filtering assembly and an electromagnetic valve; the gas input end of the sampling pipe is connected with the gas output end of the fan; the gas output end of the sampling pipe is connected with the gas input end of the filtering component; the gas output end of the filtering component is connected with the gas input end of the electromagnetic valve; and the gas output end of the electromagnetic valve is connected with the gas output end of the gas compression pump.
Further, the particle detection device comprises a laser emitter and a photoelectric sensor which are arranged in the gas compression chamber; the photoelectric sensor receives refracted light generated by the laser emitter irradiating on the water drops.
Furthermore, the particle detection device also comprises a data analysis component, an alarm component and a communication component; the data analysis component is electrically connected with the photoelectric sensor, the laser transmitter, the alarm component and the communication component respectively.
The beneficial effects of the utility model reside in that: the gas sampling device is used for collecting and randomly extracting gas at each position, the gas compression assembly is used for compressing collected sample gas, the gas monitoring assembly is used for setting target parameters of the compressed gas, and the gas compression assembly is controlled to quickly release gas when the target parameters are reached in the compression process, so that invisible particles with the diameter of 0.002 mu m as the minimum in the sample gas are amplified into detectable water drops with the diameter range of 10 mu m-20 mu m, the particle detection device is used for detecting the number of the water drops, the environmental gas is detected, quick reaction in a harmful particle generation stage is realized, the sensitivity is high, the false alarm rate is low, the application range is wide, and the detection process is not limited by environmental factors.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described below with reference to the accompanying drawings and embodiments, wherein the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained without inventive work according to the drawings:
FIG. 1 is a state diagram of the background art of the present invention, from the stage of material pyrolysis to the stage of smoke generation;
FIG. 2 is a block diagram of the system for detecting nanoparticles in ambient gas according to the preferred embodiment of the present invention;
FIG. 3 is a graph comparing the change of particles before and after the compression process in the gas compression chamber according to the preferred embodiment of the present invention;
fig. 4 is a block diagram of a gas compression chamber according to a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, a clear and complete description will be given below with reference to the technical solutions of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts belong to the protection scope of the present invention.
The preferred embodiment of the present invention is shown in fig. 2 and 3, and provides a system for detecting nano particles in ambient gas, which comprises a gas sampling device 1 and a particle detecting device 3; also comprises a grain diameter amplifying device 2; the particle size amplifying device 2 comprises a gas compression component 21 for amplifying the particle size of the nano particles in the sample gas and a gas monitoring component 22 for setting or monitoring various state parameters of the sample gas before and after compression; the gas input end of the gas compression assembly 21 is connected with the gas output end of the gas sampling device 1;
the gas monitoring component 22 sets a target state parameter of the sample gas, and controls the gas compression component 21 to release the compressed sample gas when the target state parameter is reached, so that invisible nanoparticles in the sample gas are respectively condensed into small water droplets with detectable diameters; the particle detection device 3 detects the number of water droplets when the water droplets are generated.
The gas sampling device 1 is used for randomly collecting sample gas from all places, the gas compression assembly 21 compresses the collected sample gas, the gas monitoring assembly 22 is used for setting target parameters of the compressed gas, and the gas compression assembly 21 is controlled to quickly release gas when the target parameters are reached in the compression process, so that invisible particles with the diameter of 0.002 mu m as the minimum in the sample gas are amplified into detectable water drops with the diameter range of 10 mu m-20 mu m, the particle detection device 3 is used for detecting the number of the water drops and making corresponding early warning measures according to the detection result to detect the environmental gas, and quick response in the harmful particle generation stage is realized.
In the method of this embodiment, the two most critical processes are: compressed gas and released gas, after the two actions are completed under accurate parameter monitoring and control, the gas can generate condensation nuclei, namely: the invisible particles with the diameter of 0.002 μm as the minimum in the compressed gas are amplified into detectable water drops with the diameter range of 10 μm to 20 μm, and the process is the gas particle size amplification process.
Compared with the existing thermal degradation detection equipment, the method and the device can accurately set the target parameters of gas compression, greatly improve the detection precision, have high-sensitivity detection capability and reduce the trouble of misinformation; through the random sample gas extraction everywhere carry out the enlargies of particle diameter in the gas, the detection process is not sheltered from, can produce the stage at the harmful particle in the environmental gas and make a response fast, and the application is wide, avoids the air current to dilute smog and the puzzlement that smog layering caused nano particle detection system.
In a further embodiment, as shown in fig. 2, the gas compression assembly 21 comprises: a gas compression pump 211, a gas compression chamber 212, and a gas release control 213; the gas input end of the gas compression pump 211 is connected with the gas output end of the gas sampling device 1; the gas output end of the gas compression pump 211 is connected with the gas input end of the gas compression chamber 212; the gas compression pump 211 randomly extracts sample gas at one position from the gas sampling device 1, the gas compression pump 211 continuously pumps the sample gas into the gas compression chamber 212 at a certain frequency, the gas monitoring assembly 22 sets target parameters of gas compression before compression, and when the gas compression in the gas compression chamber 212 reaches a target state, the gas monitoring assembly 22 controls the gas release control member 213 to release gas, so that invisible particles with the diameter of 0.002 μm or less in the compressed gas are amplified into detectable small water droplets with the diameter range of 10 μm-20 μm.
In the above embodiment, the gas compressor 211 may pump the gas compression chamber 212 at a flow rate of 5L/min, and the maximum pumping pressure reaches 130Kpa, or may pump the gas from the gas compression chamber 212 at a flow rate of 5L/min, and the maximum pumping vacuum pressure reaches 70 Kpa.
In the above embodiment, the gas release control member 213 is a solenoid valve, and is controlled by the control unit 222 to control the gas release control member 213 to release gas when the target parameter is reached during the compression of the sample gas.
In a further embodiment, the target state parameter comprises a target pressure; when the volume of the gas compression chamber 212 is determined, the target pressure is set by setting the compression frequency and/or the gas flow rate of the gas compression pump 211, and the compression time during compression. The value of the target pressure is associated with the volume of the gas compression chamber 212, the compression frequency and/or the gas flow rate, the compression time, the target pressure being: 30Kpa to 150 Kpa; preferably, the target pressure is: 50Kpa to 110 Kpa.
In the above embodiments, the target parameters of gas compression include, but are not limited to: target pressure, compression time, target temperature, target humidity; and/or other parameters of interest that cause invisible nanoparticles in the sample gas to condense into droplets of detectable diameter, respectively.
In a further embodiment, as shown in fig. 2 and 4, the gas monitoring assembly 22 includes a gas sensing unit 221; a gas sensing unit 221 is disposed in the gas compression chamber 212 to monitor various state parameters of the sample gas before and after compression. Methods of detecting whether the sample gas is compressed to a target state include, but are not limited to, one or more of the following: in the compression process, the pressure value of the sample gas, the temperature of the sample gas and whether the humidity of the sample gas reaches a target state are monitored.
In a further embodiment, as shown in FIG. 2, the gas monitoring assembly 22 further includes a control unit 222; the control unit 222 is electrically connected to the gas sensing unit 221, the gas compression pump 211, and the gas release control 213, respectively, to set a target parameter of the sample gas compression, and to control the gas release control to release the gas when the sample gas reaches the target parameter.
In further embodiments, gas sensing unit 221 includes, but is not limited to: a pressure sensor, a temperature sensor and a humidity sensor; the pressure sensor, the temperature sensor, and the humidity sensor are disposed in the gas compression chamber 212 and electrically connected to the control unit 222.
Preferably, the target pressure value for compressing the sample gas ranges from 40kPa to 130kPa, the reference value of the target pressure value for the gas is set to 60kPa, and the number of particles generated by different target pressure values for compressing the sample gas under the same temperature and humidity conditions is different, for example, when the target pressure value is 40kPa, the temperature is 27 ℃, and the humidity is 50%, the number of particles generated is recorded as a; at a target pressure of 100kPa, a temperature of 27 ℃ and a humidity of 50%, the number of particles produced is noted as B, and the number of B is greater than A.
In the normal temperature state, the larger the humidity is, the larger the number of particles is. Particle quantity under different temperature and the humidity state is inequality, and in the particle diameter amplification process each time, temperature and humidity are all inequality, and the particle quantity of production is also inequality, and in the particle diameter amplification process each time, the change data of the temperature in the record gas compression cavity 212 and humidity combines the particle concentration quantity change under different temperature and humidity, and the data center of backstage handles data, analyzes and predicts the harmful particle condition in the place monitored, in time sends early warning and warning.
In a further embodiment, the gas compression chamber 212 is an insulating chamber. The adiabatic chamber allows the "compression" of the sample gas to be adiabatic, i.e. the gas is compressed without heat exchange with the outside world.
In a further embodiment, the gas sampling apparatus 1 includes a fan 11, a sampling pipe 14, a filter assembly 12, and a solenoid valve 13; the gas input end of the sampling pipe 14 is connected with the gas output end of the fan 11; the gas output end of the sampling pipe 14 is connected with the gas input end of the filtering component 12; the gas output end of the filter assembly 12 is connected with the gas input end of the electromagnetic valve 13; the gas output end of the electromagnetic valve 13 is connected with the gas output end of the gas compression pump 211. The fan 11 is an airflow control fan, the fan 11 sends a feedback signal with corresponding frequency to the data analysis component 34 according to the airflow change of the air inlet, and the data analysis component 34 adjusts the rotating speed of the fan according to the feedback signal so as to meet different detection sensitivity requirements. The filtering component 12 can remove impurities such as dust in the air, and prevent the nano detection system from being influenced by the impurities such as dust to report by mistake.
In the above embodiment, the number of filter assemblies 12 is at least 2; the data analysis module 34 can determine whether the gas in any path of the filter module 12 is drawn into the sampling module by controlling the opening or closing of the solenoid valve 13.
In a further embodiment, as shown in fig. 2, the particle detection device 3 comprises a laser emitter 31 and a photosensor 32 disposed in the gas compression chamber 212; the photoelectric sensor 32 receives the refracted light generated by the laser emitter 31 irradiating on the water droplets. The photoelectric sensor 32 is installed on the gas compression chamber 212, and a first incident optical axis of the photoelectric sensor 32 is perpendicular to an emission optical axis of the laser emitter 31; the photoelectric sensor 32 and the laser transmitter 31 are both electrically connected with the data analysis component 34; the laser emitter 31 can send a laser source with the wavelength of 400-; the photoelectric sensor 32 can receive light with a specific wavelength and convert the light into a current signal which can be identified and amplified by the circuit unit; the photosensor 32 has the characteristics of high sensitivity and ultra-low quiescent current.
At the moment of cloud formation, infrared laser is emitted by the laser emitter 31 and enters the gas compression chamber 212, scattered light is formed when the infrared laser irradiates on atomized water drops, the photoelectric sensor 32 absorbs the scattered light in a specific range in the lateral direction to form an electric signal, the electric signal firstly passes through a current-voltage conversion circuit unit to convert a current signal into a voltage signal of more than 100mV, the voltage signal passes through a signal amplifying circuit and is amplified to the extent that the voltage signal can be identified by an internal AD conversion circuit of the data analysis component 34, and the data analysis component 34 calculates the concentration of particles in the gas compression chamber 212 by using a particle concentration diagnosis algorithm according to the converted light intensity information.
In the above embodiment, the particle concentration diagnosis method is to collect scattered light scattered by particles in the gas compression chamber 212 by the photoelectric sensor 32 by using a correlation algorithm based on the Mie scattering theory of light, and simulate the light flux to obtain the relationship between the number of particles and the collected photoelectric signal, thereby calculating the number of particles in the sample air in the gas compression chamber 212. When the number of dust particles in the air is much smaller than the number of sub-micron particles of 0.002 μm (about 1: 25 or more), and the number of particles becomes countable, the thermal degradation alarm threshold can be set to be higher than the maximum value of the dust number, such as 100000/cc, by the maximum value of the dust number (not exceeding 60000/cc) existing in the air, which can be away from the trouble of false alarm and can quickly respond at the stage of generating harmful particles.
In the above embodiment, the data analysis component 34 is electrically connected to the laser emitter 31, the laser emitter 31 is controlled by PWM pulses with a certain frequency, and the PWM pulses enable the laser emitter 31 to emit infrared light with different intensities through different duty ratios, so as to adjust the sensitivity of particle detection.
In the above embodiment, the release of the gas is continued for a period of time, t seconds, depending on the internal volume of the gas compression chamber 212. In t seconds, the gas release process is based on the basic principle of a Wilson cloud chamber, air is expanded instantly, the temperature is reduced to reach the supersaturated state, water vapor in the supersaturated state can generate condensation nuclei on all particles in the gas compression chamber 212, namely invisible sub-micron particles with the minimum particle size of 0.002 mu m expand to water droplets with the particle size of about 20 mu m to form cloud mist, the diameter of the particles is amplified, infrared laser emitted by the laser source can form refracted light on the atomized water droplets within t seconds, the photoelectric sensor 32 absorbs scattered light in a specific range in the lateral direction to form an electric signal, the electric signal firstly passes through a current-voltage conversion circuit unit to convert the current signal into a voltage signal with the voltage value of more than 100mV, and the voltage signal is amplified to the extent that the voltage signal can be identified by an AD conversion circuit in the data analysis component 34 after passing through the signal amplification circuit, the data analysis module 34 calculates the concentration of particles in the gas compression chamber 212 using a particle concentration diagnostic algorithm based on the converted light intensity information.
In a further embodiment, as shown in fig. 2, the particle detection apparatus 3 further comprises a data analysis component 34, an alarm component 33 and a communication component 36; the data analysis component 34 is electrically connected with the photoelectric sensor 32, the laser transmitter 31, the alarm component 33 and the communication component 331 respectively.
The alarm component 33 is electrically connected with the data analysis component 34; the alarm component 33 comprises a mode of directly displaying alarm information by a display screen, a mode of flashing an LED lamp and giving an audible and visual alarm by a buzzer, and a mode of sending the alarm information to a user terminal through an Internet of things communication unit; when the data analysis component 34 calculates and judges that the concentration range of the particles belongs to the alarm range, the data analysis component sends an instruction to control the alarm component 33 to alarm.
The communication component 36 includes a communication unit 331 and a server 332; the input of the communication unit 331 is connected to the output of the data analysis component 34; an input terminal of the server 332 is connected to an output terminal of the communication unit 331; the communication unit 331 adopts a narrowband internet of things NB-IoT mode, is compatible with an LTE cellular network standard, and has the advantages of low power consumption, low cost, long transmission distance, high data transmission rate and the like, information is transmitted to the server 332 through the communication unit 331 to be stored, the server 332 is a cloud server, and a user can display and inquire data information such as a particle concentration change curve, historical system state data, historical alarm data, historical operation record data and the like through connection of terminal equipment, perform statistical processing on collected big data, analyze and predict harmful particle conditions in a monitoring place, and send early warning and alarm.
In another embodiment, the communication component 36 may also employ wired Ethernet communication, Bluetooth, ZigBee, IEEE 802.15.4, Weightless-N, Wi-Fi, LTE Cat 0/1, and the like.
The following description will be made in detail about the application of the above-mentioned compressed gas condensation nucleus method and apparatus in the aspect of thermal degradation detection by taking a typical thermal decomposition early warning of fire as an example and by a more specific implementation process.
Target parameters for the gas compression process are set from the control unit 222. The data analysis component 34 controls the gas sampling device 1 to randomly extract sample gas from any place, and the sample gas is filtered by the filter component 12 and then is introduced into the gas compression pump 211, the gas compression pump 211 continuously pumps the gas into the gas compression chamber 212 at a certain frequency, the gas sensing unit 221 monitors various states of the compressed gas, and controls the gas compression component 21 to release the compressed sample gas when a target state parameter is reached, so that invisible particles with the diameter of minimum 0.002 μm in the sample gas are amplified into detectable small water drops with the diameter range of 10 μm-20 μm, the laser emitter 31 emits a laser source to irradiate on the small water drops to generate refracted light, the photoelectric sensor 32 receives the refracted light to form an electric signal, the electric signal firstly passes through a current-voltage conversion circuit unit to convert the current signal into a voltage signal with the voltage of more than 100mV, the voltage signal is amplified to a level recognizable by an internal AD conversion circuit of the data analysis module 34 after passing through the signal amplification circuit, and the data analysis module 34 calculates the concentration of particles in the gas compression chamber 212 from the converted light intensity information by using a particle concentration diagnosis algorithm.
In the above embodiment, the particle concentration diagnosis method is to collect scattered light scattered by particles in the gas compression chamber 212 by the photoelectric sensor 32 by using a correlation algorithm based on the Mie scattering theory of light, and simulate the light flux to obtain the relationship between the number of particles and the collected photoelectric signal, thereby calculating the number of particles in the sample air in the gas compression chamber 212. When the number of dust particles in the air is much smaller than the number of sub-micron particles of 0.002 μm (about 1: 25 or more), and the number of particles becomes countable, the thermal degradation alarm threshold can be set to be higher than the maximum value of the dust amount, such as 100000/cc, by the maximum value of the dust amount existing in the air (not more than 60000/cc), which can be away from the trouble of false alarm and can be quickly responded in the very early stage of fire.
In the above embodiment, the target pressure is: 30Kpa to 150 Kpa; preferably, the target pressure is: 50Kpa to 110 Kpa. The gas compressor pump 211 may pump the gas compression chamber 212 at a flow rate of 5L/min to a maximum pumping pressure of 130Kpa, or may pump the gas from the gas compression chamber 212 at a flow rate of 5L/min to an outside to a maximum pumping vacuum pressure of 70 Kpa.
Preferably, the target pressure value for compressing the sample gas ranges from 40kPa to 130kPa, the reference value of the target pressure value for the gas is set to 60kPa, and the number of particles generated by different target pressure values for compressing the sample gas under the same temperature and humidity conditions is different, for example, when the target pressure value is 40kPa, the temperature is 27 ℃, and the humidity is 50%, the number of particles generated is recorded as a; at a target pressure of 100kPa, a temperature of 27 ℃ and a humidity of 50%, the number of particles produced is noted as B, and the number of B is greater than A.
In the normal temperature state, the larger the humidity is, the larger the number of particles is. Particle quantity under different temperature and the humidity state is inequality, and in the particle diameter amplification process each time, temperature and humidity are all inequality, and the particle quantity of production is also inequality, and in the particle diameter amplification process each time, the change data of the temperature in the record gas compression cavity 212 and humidity combines particle concentration quantity change under different temperature and humidity, and data are handled to the data center at backstage, carry out analysis and prediction to the condition of a fire in the place monitored, in time send thermal degradation early warning and warning.
In a further embodiment, the gas compression chamber 212 is an insulating chamber. The adiabatic chamber allows the "compression" of the sample gas to be adiabatic, i.e. the gas is compressed without heat exchange with the outside world.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are considered to be within the scope of the invention as defined by the following claims.
Claims (10)
1. A system for detecting nano particles in environmental gas comprises a gas sampling device and a particle detection device; it is characterized by also comprising a particle size amplifying device; the particle size amplifying device comprises a gas compression component for amplifying the particle size of the nano particles in the sample gas and a gas monitoring component for setting or monitoring state parameters of the sample gas before and after compression; the gas input end of the gas compression assembly is connected with the gas output end of the gas sampling device;
the gas monitoring assembly sets a target state parameter of the sample gas, and controls the gas compression assembly to release the compressed sample gas when the target state parameter is reached, so that invisible nanoparticles in the sample gas are respectively condensed into small water drops with detectable diameters; the particle detection means detects the number of the water droplets when the water droplets are generated.
2. The nanoparticle detection system of claim 1, wherein the gas compression assembly comprises: a gas compression pump, a gas compression chamber, and a gas release control; the gas input end of the gas compression pump is connected with the gas output end of the gas sampling device; and the gas output end of the gas compression pump is connected with the gas input end of the gas compression chamber.
3. The nanoparticle detection system of claim 2, wherein the target state parameter comprises a target pressure; when the gas compression chamber volume is determined, the target pressure is set by setting the compression frequency and/or gas flow rate of the gas compression pump, and the compression time during compression.
4. The nanoparticle detection system of claim 2, wherein the gas monitoring assembly comprises a gas sensing unit; the gas sensing unit is arranged in the gas compression chamber to monitor various state parameters of the sample gas before and after compression.
5. The nanoparticle detection system of claim 4, wherein the gas monitoring assembly further comprises a control unit; the control unit is electrically connected with the gas sensing unit, the gas compression pump and the gas release control part respectively so as to set target parameters of the sample gas compression and control the gas release control part to release gas when the sample gas reaches the target parameters.
6. The nanoparticle detection system of claim 5, wherein the gas sensing unit includes but is not limited to: a pressure sensor, a temperature sensor and a humidity sensor; the pressure sensor, the temperature sensor and the humidity sensor are all arranged in the gas compression chamber and are electrically connected with the control unit.
7. The nanoparticle detection system of claim 2, wherein the gas compression chamber is an adiabatic chamber.
8. The nanoparticle detection system of claim 2, wherein the gas sampling device comprises a blower, a sampling tube, a filter assembly, and a solenoid valve; the gas input end of the sampling pipe is connected with the gas output end of the fan; the gas output end of the sampling pipe is connected with the gas input end of the filtering component; the gas output end of the filtering component is connected with the gas input end of the electromagnetic valve; and the gas output end of the electromagnetic valve is connected with the gas output end of the gas compression pump.
9. The nanoparticle detection system of claim 1, wherein the particle detection device comprises a laser emitter and a photosensor disposed in a gas compression chamber; the photoelectric sensor receives refracted light generated by the laser emitter irradiating on the water drops.
10. The nanoparticle detection system of claim 9, wherein the particle detection apparatus further comprises a data analysis component, an alarm component, and a communication component; the data analysis component is electrically connected with the photoelectric sensor, the laser transmitter, the alarm component and the communication component respectively.
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