CN112816373A - Unmanned aerial vehicle monitoring system and correction method for black carbon vertical profile - Google Patents
Unmanned aerial vehicle monitoring system and correction method for black carbon vertical profile Download PDFInfo
- Publication number
- CN112816373A CN112816373A CN201911119499.7A CN201911119499A CN112816373A CN 112816373 A CN112816373 A CN 112816373A CN 201911119499 A CN201911119499 A CN 201911119499A CN 112816373 A CN112816373 A CN 112816373A
- Authority
- CN
- China
- Prior art keywords
- black carbon
- aerial vehicle
- unmanned aerial
- air pressure
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 239000003738 black carbon Substances 0.000 title claims abstract description 71
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012544 monitoring process Methods 0.000 title claims abstract description 14
- 238000012937 correction Methods 0.000 title claims abstract description 11
- 230000003287 optical effect Effects 0.000 claims abstract description 12
- 238000001914 filtration Methods 0.000 claims abstract description 8
- 238000001035 drying Methods 0.000 claims abstract description 6
- 230000007613 environmental effect Effects 0.000 claims abstract description 6
- 239000003570 air Substances 0.000 claims description 31
- 239000000523 sample Substances 0.000 claims description 25
- 238000005070 sampling Methods 0.000 claims description 22
- 239000002184 metal Substances 0.000 claims description 20
- 239000012080 ambient air Substances 0.000 claims description 6
- 229920000049 Carbon (fiber) Polymers 0.000 claims description 4
- 239000004917 carbon fiber Substances 0.000 claims description 4
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 4
- 239000003292 glue Substances 0.000 claims description 2
- 239000000463 material Substances 0.000 claims 3
- 238000001514 detection method Methods 0.000 claims 1
- 230000001681 protective effect Effects 0.000 claims 1
- 239000000443 aerosol Substances 0.000 description 8
- 238000010521 absorption reaction Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 239000003344 environmental pollutant Substances 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000009423 ventilation Methods 0.000 description 2
- 239000000809 air pollutant Substances 0.000 description 1
- 231100001243 air pollutant Toxicity 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229910021385 hard carbon Inorganic materials 0.000 description 1
- 238000012805 post-processing Methods 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000000191 radiation effect Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/22—Devices for withdrawing samples in the gaseous state
- G01N1/2273—Atmospheric sampling
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
- G01N15/075—Investigating concentration of particle suspensions by optical means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/22—Devices for withdrawing samples in the gaseous state
- G01N1/2273—Atmospheric sampling
- G01N2001/2279—Atmospheric sampling high altitude, e.g. rockets, balloons
Landscapes
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biochemistry (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Dispersion Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses an unmanned aerial vehicle monitoring system of a black carbon vertical profile and a correction method. And drying the sample to be detected by a micro dryer, and detecting by using a black carbon instrument to obtain the black carbon concentration and the optical characteristic parameters in a dry state. And finally, eliminating noise generated by instrument vibration and instrument drift by adopting a low-pass filtering algorithm, and correcting the dry black carbon concentration by adopting the environmental relative humidity, temperature and air pressure profiles to obtain the black carbon concentration and the optical parameter vertical profile in the real environmental state.
Description
Technical Field
The technical field of the invention relates to acquisition, monitoring and analysis of a vertical profile of black carbon aerosol, and the result can be applied to improvement of monitoring, forecasting and early warning of air pollutants, promotion of energy conservation and emission reduction, and provision of technical support for low-carbon economic society.
Background
Because the atmospheric pollutants have the complexity of regional transportation, vertical diffusion, exchange, chemical reaction and the like, people are urgently required to observe and research the influence of the high-altitude pollutants on the near-ground. The black carbon aerosol has strong absorption effect on solar spectrum, and obviously influences the radiation balance of a land-gas system. To date, the vertical distribution of black carbon aerosols has been known only to a limited extent. By means of an industrial unmanned aerial vehicle vertical observation means, the vertical distribution characteristics of the black carbon aerosol can be quantitatively obtained. According to the invention, the handheld black carbon instrument, the micro dryer, the temperature sensor, the humidity sensor and the air pressure sensor are integrated on the unmanned aerial vehicle platform, the impact of high-altitude air flow on a collected sample is relieved by utilizing the spherical porous metal buffer sampler, and the concentration and the optical characteristic parameters of black carbon gas solution in a dry state are observed. Noise generated by instrument vibration and instrument drift is eliminated by utilizing a low-pass filtering algorithm, the dry black carbon concentration is corrected by adopting the environmental relative humidity, temperature and air pressure profiles, the black carbon concentration and the optical parameter vertical profile in a real environmental state are obtained, the optical characteristics and the radiation effect research of the black carbon aerosol are promoted, and scientific basis is provided for energy conservation and emission reduction, improvement of the whole level of atmosphere pollution prevention and control and climate change coping.
Disclosure of Invention
In order to accurately obtain the black carbon concentration and the optical parameter vertical profile in the real environment state, the invention designs a set of unmanned aerial vehicle monitoring system of the black carbon vertical profile and a correction method. The technical problem solved comprises the following steps: (1) integrate hand-held type black carbon appearance, miniature desicator, the temperature, humidity transducer, baroceptor is in the unmanned aerial vehicle platform, utilize spherical porous metal sample thief buffering unmanned aerial vehicle in the impact of high altitude sampling in-process air current to the observation instrument, keep the stability of sample gas flow, the sample that awaits measuring gets into the black carbon appearance after carrying out the drying through miniature desicator and detects, black carbon concentration and optical characteristic parameter under the acquisition dry condition to utilize environment air temperature atmospheric pressure to rectify black carbon concentration.
(2) The spherical porous metal sampler has a cavity structure with 112 ventilation holes, 58 holes in the upper hemisphere and 54 holes in the lower hemisphere, and the ventilation holes are uniformly distributed in the upper hemisphere and the lower hemisphere. The diameter of the metal sampler is 12cm, and the diameter of the vent hole is 2mm, so that the impact of high-speed airflow on an observation system can be effectively relieved. This sample thief is located the planar geometric center of unmanned aerial vehicle wing shaft, apart from the position of unmanned aerial vehicle wing plane vertical height 80cm, is connected appearance gas and desicator and black carbon appearance through the electrically conductive sampling pipe of black glue metal, and then dry and detect appearance gas.
(3) The ambient temperature, humidity and air pressure sensor probe is fixed at a vertical height 8cm lower than the sampler, so as to reduce the air flow interference on sample collection.
(4) The sampling cavity is placed in the data collection station of micro-dryer, black carbon appearance, temperature, humidity and atmospheric pressure in, and all kinds of data of monitoring are automatic storage in respective data collection station, and the sampling cavity is located the geometric centre position at the unmanned aerial vehicle back, keeps the balance of whole unmanned aerial vehicle sampling system.
(5) The black carbon aerosol sample enters a micro dryer for drying (the relative humidity is lower than 40%) through a spherical porous metal sampler, and then the black carbon aerosol sample is measured by a black carbon instrument. The ambient temperature, humidity and air pressure are measured by corresponding temperature, humidity and air pressure sensors.
(6) Eliminating instrument vibration and noise generated by instrument drift during black carbon observation by using a low-pass filtering algorithm, correcting the black carbon concentration by using the ambient air temperature and air pressure, and correcting the dry black carbon concentration by using the ambient relative humidity to obtain the black carbon concentration and optical parameters in the actual ambient state.
(7) Four light and hard carbon fiber cavity supporting shafts are used for stabilizing the spherical porous metal sampler. The top of the supporting shaft is 5cm away from the bottom of the spherical porous metal sampler. Two back shafts of bottom are located the broadside center in sampling cavity top, and two are located the long limit center in sampling cavity top in addition. The supporting shafts of the wide side and the long side are 82 cm long and 81cm long respectively.
An algorithm for eliminating black carbon observation noise by a low-pass filtering algorithm (moving average filtering method):
in the formula
For the original black carbon concentration to be smoothed,
is the black carbon concentration after smooth filtering,
is a sliding window.
The method for correcting the ambient temperature and air pressure of the black carbon concentration comprises the following steps:
in the formula
The concentration of the black carbon is corrected by air temperature and air pressure,
the original black carbon concentration is not corrected,
is the ambient air temperature, and is,
is the temperature of the black carbon sample,
the pressure of the air is the ambient air pressure,
is the observed gas pressure for the black carbon sample.
The method for calculating the black carbon concentration in the environmental state comprises the following steps:
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 is a front view of the present invention;
FIG. 2 is a side view of the present invention;
FIG. 3 is a top view of the present invention;
fig. 4 is a layout view of the interior of the sampling chamber.
In the above figures: 1. the device comprises a spherical porous metal sampler, 2. an ambient temperature, humidity and air pressure sensor probe, 3. a carbon fiber cavity supporting shaft, 4. a black rubber metal conductive sampling tube, 5. a sampling cavity (a built-in micro dryer, a black carbon instrument and a temperature, humidity and air pressure data collector), 6. an unmanned aerial vehicle platform, 7. the black carbon instrument, 8. the micro dryer and 9. the temperature, humidity and air pressure data collector.
Detailed Description
[ example 1 ]
When the unmanned aerial vehicle sampling observation of the black carbon vertical profile is carried out, an air sample to be detected is extracted by using a built-in pump of the black carbon instrument. The sample to be tested is buffered by the porous metal buffer, so that the impact of airflow in the vertical direction on the instrument is reduced, and the stability of sampling flow is kept. And conveying the sample to be detected to a micro dryer, drying the sample to be detected to a relative humidity lower than 40%, and finally, detecting and analyzing the sample in a black carbon instrument to obtain preliminary black carbon concentration and optical parameter data. Post-processing the preliminary observation data by using a low-pass filtering algorithm to eliminate noise generated by instrument vibration and instrument drift; and correcting the black carbon concentration by utilizing the ambient air temperature and the air pressure, and finally correcting the dry black carbon concentration by utilizing the ambient relative humidity to obtain the black carbon concentration and the optical parameters under the actual ambient state.
Claims (17)
1. An unmanned aerial vehicle monitoring system and a correction method of a black carbon vertical profile are characterized in that: the handheld black carbon instrument, the miniature dryer, the temperature sensor, the humidity sensor and the air pressure sensor are integrated in the sampling cavity, the miniature dryer is located in the center of the sampling cavity, and a sample to be detected can be monitored vertically.
2. A temperature, humidity and air pressure data acquisition unit is arranged on the right side of the micro dryer and used for analyzing parameters of the environment such as temperature, humidity and air pressure.
3. The sampling cavity (length 32cm, height 20cm, width 24 cm) is located the unmanned aerial vehicle platform top, and the material is the cystosepiment, is the light protective material of anticollision again of quality.
4. The impact of the airflow of the unmanned aerial vehicle on the observation instrument in the high-altitude sampling process is buffered by utilizing the spherical porous metal sampler, the stability of the airflow of the sample is kept, the sample to be detected is dried by the miniature dryer and then is detected by the black carbon instrument, the black carbon concentration and the optical characteristic parameters in a dry state are obtained, and the black carbon concentration is corrected by utilizing the ambient air temperature and air pressure.
5. The unmanned aerial vehicle monitoring system and the correction method for the black carbon vertical profile of claim 1, wherein the spherical porous metal sampler (with a diameter of 12 mm) is a cavity structure with 112 vent holes, and the vent holes are uniformly distributed in the upper hemisphere and the lower hemisphere, wherein the upper hemisphere has 58 holes, and the lower hemisphere has 54 holes (with a diameter of 2 mm), so as to relieve the impact of high-speed airflow on the observation system.
6. Set up spherical porous metal sample thief in the planar geometric center of unmanned aerial vehicle wing shaft, apart from the position of unmanned aerial vehicle wing plane vertical height 80cm to be connected sample gas and desicator and black carbon appearance and carry out drying and detection through the electrically conductive sampling pipe of black glue metal.
7. The bottom of the spherical porous metal sampler is embedded with threads and fixed by bolts, so that the requirements of universality and transportability are met.
8. The unmanned aerial vehicle monitoring system and the correction method for the black carbon vertical profile of claim 1, wherein the temperature, humidity and air pressure sensor probe is fixed at a vertical height 8cm below the spherical porous metal sampler, so as to reduce the air flow interference on sample collection.
9. The unmanned aerial vehicle monitoring system of the black carbon vertical profile and the correction method thereof as claimed in claim 1, wherein the micro dryer, the black carbon meter, the data collector of temperature, humidity and air pressure are built in the sampling cavity, and various monitored data are automatically stored in the respective data collector.
10. The sampling cavity is located the geometric centre position at the unmanned aerial vehicle back, keeps whole unmanned aerial vehicle sampling system's balance.
11. The unmanned aerial vehicle monitoring system and the correction method for the black carbon vertical profile of claim 1, wherein the collected black carbon sample enters a micro dryer through a spherical porous metal sampler for drying and then is measured through a black carbon instrument.
12. The ambient temperature, humidity and air pressure are measured by corresponding temperature, humidity and air pressure sensors.
13. The unmanned aerial vehicle monitoring system of black carbon vertical profile and the correction method thereof as claimed in claim 1, wherein based on the profile data of black carbon, air temperature, air pressure and relative humidity observed synchronously, noise generated by instrument vibration and instrument drift is eliminated by using a low-pass filtering algorithm, the black carbon concentration is corrected by using the ambient air temperature and air pressure, and finally the dry black carbon concentration is corrected by using the ambient relative humidity, so as to obtain the black carbon concentration and the optical parameters in the actual environmental state.
14. The unmanned aerial vehicle monitoring system of black carbon vertical profile and the correction method of claim 1, wherein the spherical porous metal sampler is stabilized by four hard and light carbon fiber cavity support shafts, the top of which is 5cm from the bottom of the spherical porous metal sampler.
15. Two shafts arranged at the lower part of the supporting shaft are positioned at the center of the wide side at the top of the sampling cavity, and the other two shafts are positioned at the center of the long side at the top of the sampling cavity.
16. The supporting shafts of the wide side and the long side are 82 cm long and 81cm long respectively.
17. All back shaft both ends are all twisted fixedly through the screw, can transplant at any time and dismantle the change, and the portability is good, and the back shaft adopts carbon fiber material and the reducible unmanned aerial vehicle load weight of cavity structure.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911119499.7A CN112816373A (en) | 2019-11-15 | 2019-11-15 | Unmanned aerial vehicle monitoring system and correction method for black carbon vertical profile |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911119499.7A CN112816373A (en) | 2019-11-15 | 2019-11-15 | Unmanned aerial vehicle monitoring system and correction method for black carbon vertical profile |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112816373A true CN112816373A (en) | 2021-05-18 |
Family
ID=75851637
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911119499.7A Pending CN112816373A (en) | 2019-11-15 | 2019-11-15 | Unmanned aerial vehicle monitoring system and correction method for black carbon vertical profile |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112816373A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115184099A (en) * | 2022-09-08 | 2022-10-14 | 徐州智航智能科技有限公司 | Atmospheric sampling device based on unmanned aerial vehicle |
| CN117213932A (en) * | 2023-11-09 | 2023-12-12 | 南京浦蓝大气环境研究院有限公司 | Uniform gas production equipment for outdoor atmosphere detection |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702037A (en) * | 2009-11-13 | 2010-05-05 | 中国科学院东北地理与农业生态研究所 | Method for obtaining surface layer meteorological element profile cross-sectional data based on remote control airship |
| CN102539336A (en) * | 2011-02-01 | 2012-07-04 | 环境保护部卫星环境应用中心 | Method and system for estimating inhalable particles based on HJ-1 satellite |
| CN102721671A (en) * | 2011-03-30 | 2012-10-10 | 中国科学院城市环境研究所 | Method for observing concentration of black carbon in atmosphere by digital camera |
| CN105510279A (en) * | 2015-12-11 | 2016-04-20 | 天津成科传动机电技术股份有限公司 | Oil product moisture detection device based on light scattering method and detection method |
| CN108763756A (en) * | 2018-05-28 | 2018-11-06 | 河南工业大学 | A kind of aerosol optical depth and PM2.5 invertings correction method and its system |
| CN109323893A (en) * | 2018-09-28 | 2019-02-12 | 暨南大学 | Suitable for unmanned plane or it is tethered at sampling of aerosol bag, the device and method of motorboat |
| CN209623769U (en) * | 2019-04-28 | 2019-11-12 | 西安交通大学 | A kind of climatic environment test platform based on unmanned plane |
-
2019
- 2019-11-15 CN CN201911119499.7A patent/CN112816373A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101702037A (en) * | 2009-11-13 | 2010-05-05 | 中国科学院东北地理与农业生态研究所 | Method for obtaining surface layer meteorological element profile cross-sectional data based on remote control airship |
| CN102539336A (en) * | 2011-02-01 | 2012-07-04 | 环境保护部卫星环境应用中心 | Method and system for estimating inhalable particles based on HJ-1 satellite |
| CN102721671A (en) * | 2011-03-30 | 2012-10-10 | 中国科学院城市环境研究所 | Method for observing concentration of black carbon in atmosphere by digital camera |
| CN105510279A (en) * | 2015-12-11 | 2016-04-20 | 天津成科传动机电技术股份有限公司 | Oil product moisture detection device based on light scattering method and detection method |
| CN108763756A (en) * | 2018-05-28 | 2018-11-06 | 河南工业大学 | A kind of aerosol optical depth and PM2.5 invertings correction method and its system |
| CN109323893A (en) * | 2018-09-28 | 2019-02-12 | 暨南大学 | Suitable for unmanned plane or it is tethered at sampling of aerosol bag, the device and method of motorboat |
| CN209623769U (en) * | 2019-04-28 | 2019-11-12 | 西安交通大学 | A kind of climatic environment test platform based on unmanned plane |
Non-Patent Citations (1)
| Title |
|---|
| 王贺锐 等: "MODIS气溶胶产品在北京监测PM2.5质量浓度中的应用", 《科技创新导报》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115184099A (en) * | 2022-09-08 | 2022-10-14 | 徐州智航智能科技有限公司 | Atmospheric sampling device based on unmanned aerial vehicle |
| CN115184099B (en) * | 2022-09-08 | 2022-12-13 | 徐州智航智能科技有限公司 | Atmospheric sampling device based on unmanned aerial vehicle |
| CN117213932A (en) * | 2023-11-09 | 2023-12-12 | 南京浦蓝大气环境研究院有限公司 | Uniform gas production equipment for outdoor atmosphere detection |
| CN117213932B (en) * | 2023-11-09 | 2024-01-19 | 南京浦蓝大气环境研究院有限公司 | Uniform gas production equipment for outdoor atmosphere detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Shinohara | A new technique to estimate volcanic gas composition: plume measurements with a portable multi-sensor system | |
| CN112816373A (en) | Unmanned aerial vehicle monitoring system and correction method for black carbon vertical profile | |
| CN202837148U (en) | Beta-ray atmospheric particulate monitor | |
| CN202735325U (en) | Handheld suction type volatile gas detector | |
| CN105651662B (en) | Aerosol mass concentration optical detection device and detection method thereof | |
| KR101783821B1 (en) | Pollution source tracking sampling method by wind direction and speed control | |
| KR102236211B1 (en) | Apparatus for measuring harmful gas and dust in the atmosphere using an unmanned moving body and improved gas analysis method using the same | |
| Arroyo et al. | Electrochemical gas sensing module combined with Unmanned Aerial Vehicles for air quality monitoring | |
| CN113375723A (en) | Atmospheric pollution three-dimensional monitoring and data processing method based on fixed-wing unmanned aerial vehicle | |
| CN206556942U (en) | A kind of sampler for air individual particle collecting sample | |
| CN208847619U (en) | Electronics depositing dust cylinder | |
| Cai et al. | Vertical distributions of aerosol microphysical and optical properties based on aircraft measurements made over the Loess Plateau in China | |
| CN205826465U (en) | A kind of device improving multiparameter air detection instrument response speed | |
| CN209043746U (en) | Depositing dust measuring instrument | |
| Shaw et al. | Gust penetration into plant canopies | |
| CN113686746B (en) | PM (particulate matter) 2.5 Online mass concentration real-time compensation device and method | |
| CN206208751U (en) | One kind automation Content of Soil Component detection control apparatus | |
| Guan et al. | Preparation of electrochemical sensor assisted unmanned aerial vehicles system for SO2, O3, NO2, CO and PM2. 5/PM10 detection in air | |
| CN113030402A (en) | Active atmospheric ozone vertical observation system based on multi-rotor unmanned aerial vehicle platform | |
| CN214252182U (en) | Device for online monitoring of TVOC content in air | |
| CN208847618U (en) | Electronics depositing dust cylinder | |
| CN114577750A (en) | Carbon-containing gas detection system, method, apparatus, and computer-readable storage medium | |
| CN107389385A (en) | High-altitude gas detecting system and detection method | |
| CN208313764U (en) | A kind of on-line monitoring system of Inhalable Particulate | |
| CN114460195B (en) | Sampling detection method for perfluoro and polyfluoroalkyl compounds in atmospheric particulates |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210518 |
|
| WD01 | Invention patent application deemed withdrawn after publication |