CN110296741A - A kind of gaseous mass monitoring system - Google Patents
A kind of gaseous mass monitoring system Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 63
- 238000005259 measurement Methods 0.000 claims abstract description 100
- 239000013618 particulate matter Substances 0.000 claims abstract description 36
- 238000009530 blood pressure measurement Methods 0.000 claims abstract description 22
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 21
- 231100000719 pollutant Toxicity 0.000 claims abstract description 21
- 238000004891 communication Methods 0.000 claims abstract description 17
- 125000000963 oxybis(methylene) group Chemical group [H]C([H])(*)OC([H])([H])* 0.000 claims description 8
- BZHJMEDXRYGGRV-UHFFFAOYSA-N Vinyl chloride Chemical compound ClC=C BZHJMEDXRYGGRV-UHFFFAOYSA-N 0.000 claims description 4
- 238000001514 detection method Methods 0.000 claims description 3
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 3
- 208000002925 dental caries Diseases 0.000 claims description 2
- 238000003912 environmental pollution Methods 0.000 abstract description 4
- 230000002265 prevention Effects 0.000 abstract description 4
- 230000002123 temporal effect Effects 0.000 abstract description 4
- 239000007789 gas Substances 0.000 description 54
- 238000010586 diagram Methods 0.000 description 14
- 238000000034 method Methods 0.000 description 11
- 238000010438 heat treatment Methods 0.000 description 8
- 238000012360 testing method Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
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- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 2
- 235000003140 Panax quinquefolius Nutrition 0.000 description 2
- 238000000149 argon plasma sintering Methods 0.000 description 2
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- 230000007613 environmental effect Effects 0.000 description 2
- 235000008434 ginseng Nutrition 0.000 description 2
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- 239000002245 particle Substances 0.000 description 2
- 239000002253 acid Substances 0.000 description 1
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- 238000004458 analytical method Methods 0.000 description 1
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- 239000000356 contaminant Substances 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- 238000003199 nucleic acid amplification method Methods 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses a kind of gaseous mass monitoring systems, the system includes: master control borad, gas sensor plate, gaseous mass monitoring module, battery voltage measuring module, communication module, Cloud Server management platform, wherein, the gaseous mass monitoring module includes particulate matter measurement module, temperature and humidity atmospheric pressure measurement module, wind speed and direction measurement module, noise measurement module, gas pollutant measurement module.The present invention realizes the compact minitype gas quality-monitoring scheme that low cost, the multi-parameter of a kind of high-density griddingization layout integrate, the monitoring scheme of the gridding can all standing in region, realize the air monitoring of high-spatial and temporal resolution, simultaneously, pollution source tracking, early-warning and predicting etc. are realized in the application of combining information big data, provide more timely and effectively decision support for environmental pollution prevention and control.
Description
Technical field
The present invention relates to field of environmental technology more particularly to a kind of gaseous mass monitoring systems.
Background technique
In the prior art, the monitoring site limited amount of monitored gas environment system, with high costs, using Points replacing surfaces
The timeliness that mode may result in monitoring is insufficient, and the target of fining control, and existing monitored gas environment system is not achieved
System cannot achieve to space-time dynamic trend analysis, pollution emission reduction assessment, pollution source tracking, environmental warning forecast in monitoring system
Etc. abilities depth excavate.
Summary of the invention
In order to solve above-mentioned technological deficiency in the prior art, the invention proposes a kind of gaseous mass monitoring systems, should
System includes: master control borad, gas sensor plate, gaseous mass monitoring module, battery voltage measuring module, communication module, cloud
Server admin platform, wherein the gaseous mass monitoring module includes particulate matter measurement module, temperature and humidity atmospheric pressure measurement
Module, wind speed and direction measurement module, noise measurement module, gas pollutant measurement module.
Optionally, the master control borad is connect by spi bus with the gas sensor plate, and the gas sensor plate is used
In acquisition polluted gas concentration data.
Optionally, the master control borad is connect by spi bus with flash memory, and the flash memory is for storage and management system parameter
And daily record data.
Optionally, the master control borad includes five UART serial ports, and the particulate matter measurement module includes that particulate matter PM2.5 is surveyed
Measure module and particulate matter PM10 measurement module, wherein the first UART serial ports is communicated for particulate matter PM2.5 measurement module, and second
UART serial ports is communicated for particulate matter PM10 measurement module, and the 3rd UART serial ports is communicated for the communication module, the 4th UART
Serial ports is communicated for the noise measurement module, and the 5th UART serial ports is used for system debug.
Optionally, the master control borad includes an I2C, and the temperature and humidity atmospheric pressure measurement module includes temperature and humidity measurement
Module and atmospheric pressure measurement module, wherein the I2C bus is used for temperature and humidity measurement module communication, and the I2C bus is also used
In atmospheric pressure measurement module communication.
Optionally, the master control borad includes AD input outside six tunnels, wherein AD input is for acquiring first outside the first via
The temperature of cavity is measured, AD input is for acquiring the temperature of the second measurement cavity outside the second tunnel, and AD input is used outside third road
AD input is for acquiring air speed data outside the temperature of acquisition third measurement cavity, the 4th tunnel, and AD input is used outside the 5th tunnel
AD input is for acquiring battery voltage data outside acquisition wind direction data, the 6th tunnel.
Optionally, the master control borad includes 13 I/O ports, wherein six I/O ports are for executing six road power supply controls
System, three I/O ports are used to execute the computer heating control of three measurement cavitys, and an I/O port is for the measurement cavity
Temperature Measure Control, two I/O ports are used to execute the detection in place of the gas sensor plate, and an I/O port is used for
Indicator light control.
Optionally, the gas sensor plate includes gas sensor A plate and gas sensor B plate, wherein the gas
Sensors A plate and the gas sensor B plate respectively include four sensors.
Optionally, four sensors of the gas sensor A plate be respectively used to measurement SO2, NO2, CO, O3, NO, H2S,
Any four gas pollutant in NH3, HCL, CL2, C6H6, C2H3CL, C2H4O, CH4, four of the gas sensor B plate
Sensor be respectively used to measurement TVOC and SO2, NO2, CO, O3, NO, H2S, NH3, HCl, Cl2, C6H6, C2H3Cl,
Any three kinds of gas pollutants in C2H4O, CH4.
Optionally, the Cloud Server management platform is for receiving the management data transmitted by the communication module, wherein
The management data include the gas concentration data acquired by the gas pollutant measurement module, measure mould by the particulate matter
The particulate count evidence of block acquisition, by the data of the Temperature and Humidity module and atmospheric pressure number of temperature and humidity atmospheric pressure measurement module acquisition
According to, the wind speed and direction data acquired by the wind speed and direction measurement module, the noise data acquired by the noise measurement module.
The beneficial effects of the present invention are, by proposing a kind of gaseous mass monitoring system, the system include: master control borad,
Gas sensor plate, gaseous mass monitoring module, battery voltage measuring module, communication module, Cloud Server manage platform,
In, the gaseous mass monitoring module includes particulate matter measurement module, temperature and humidity atmospheric pressure measurement module, wind speed and direction measurement
Module, noise measurement module, gas pollutant measurement module.Realize a kind of inexpensive, more ginsengs of high-density griddingization layout
Manifold at compact minitype gas quality-monitoring scheme, the monitoring scheme of the gridding can all standing in region, realize high
The air monitoring of spatial and temporal resolution, meanwhile, pollution source tracking, early-warning and predicting are realized in the application of combining information big data
Deng providing more timely and effectively decision support for environmental pollution prevention and control.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the first architecture diagram of gaseous mass monitoring system of the present invention；
Fig. 2 is the second architecture diagram of gaseous mass monitoring system of the present invention；
Fig. 3 is the power module circuitry figure of gaseous mass monitoring system of the present invention；
Fig. 4 is the heating control module circuit diagram of gaseous mass monitoring system of the present invention；
Fig. 5 is the noise measurement module circuit diagram of gaseous mass monitoring system of the present invention；
Fig. 6 is the temperature and humidity atmospheric pressure measurement module circuit diagram of gaseous mass monitoring system of the present invention；
Fig. 7 is the wind speed and direction measurement module circuit diagram of gaseous mass monitoring system of the present invention；
Fig. 8 is the particulate matter measurement module circuit diagram of gaseous mass monitoring system of the present invention.
Specific embodiment
It should be appreciated that described herein, specific examples are only used to explain the present invention, is not intended to limit the present invention.
In subsequent description, it is only using the suffix for indicating such as " module ", " component " or " unit " of element
Be conducive to explanation of the invention, itself there is no a specific meaning.Therefore, " module ", " component " or " unit " can mix
Ground uses.
Embodiment one
Shown in figure 1 is the first architecture diagram of gaseous mass monitoring system of the present invention.The invention proposes a kind of gases
Quality Monitoring Control System, the system include: master control borad 100, gas sensor plate 200, gaseous mass monitoring module 300, battery
Voltage measurement module 400, communication module 500, Cloud Server manage platform 600, wherein the gaseous mass monitoring module 300
Including particulate matter measurement module 310, temperature and humidity atmospheric pressure measurement module 320, wind speed and direction measurement module 330, noise testing
Module 340, gas pollutant measurement module 350.
In the present embodiment, gas sensor plate 200 is for converting pollutant concentration corresponding current signal, so
Afterwards, amplification after conditioning, after digitlization, sends master control borad 100 to.Gas sensor plate 200 is according to the sensors of contaminant gases
Characteristic and structure installation site be packaged, there are four sensors for each gas sensor plate 200, can survey eight kinds in total not
Same gas pollutant.Gas sensor plate 200 survey common gas pollutant (SO2, NO2, CO, O3, NO, H2S, NH3, HCL,
Any four characteristic gas pollutant in CL2, C6H6, C2H3CL, C2H4O, CH4), and survey TVOC and SO2, NO2, CO,
Any three kinds of characteristic gas pollutants in O3, NO, H2S, NH3, HCl, Cl2, C6H6, C2H3Cl, C2H4O, CH4.
In the present embodiment, particulate matter measurement module 310 uses the particulate matter sensors based on laser, can satisfy
The requirement of correlation function and performance parameter, the particulate matter sensors based on laser are can be realized pair based on light scattering method
In the measurement of conventional PM2.5, PM10.In view of conventional granulates object sensor is carried out using PM2.5 to calibration standard, when to PM10's
Measurement accuracy has mutually when desired, then after being carried out respectively to mark using two particulate matter sensors, then carries out to PM2.5 and PM10
Measurement.For the high/low temperature adaptability of particulate matter module, can also be realized by choosing different configuration of particulate matter sensors.
In the present embodiment, temperature and humidity atmospheric pressure measurement module 320 includes two aspects, first, for atmospheric pressure
Measurement, select the digital pressure sensor HP303B of HOPERF, atmospheric pressure value, absolute precision directly read by I2C
For 1hPa；Second, the measurement for temperature and humidity, selects the digital hygro sensor TH06C of HOPERF, directly read by I2C
Take temperature and humidity value, temperature accuracy ± 1 DEG C, humidity precision: ± 5%RH.
In the present embodiment, wind speed and direction measurement module 330 includes two aspects, first, the measurement for wind direction, is selected
The FR-WD model wind transducer of the macro member of purple light, accuracy ± 3 °, 1 ° of resolution ratio；Second, the measurement for wind speed, is selected purple
The FR-WS model air velocity transducer of the macro member of light, accuracy ± 0.3m/s, resolution ratio 0.1m/s.
In the present embodiment, noise measurement module 340 selects the HB-NS502 noise transducer of macro Internet of Things, realizes to periphery
The noise testing of environment, measurement accuracy can reach 1.5dB.
In the present embodiment, which further includes unshowned web camera, cell phone customer in Fig. 1
End, wherein when gaseous mass monitoring module 300 monitors that amount to be measured is more than setting value, obtained by web camera real
When image, and be packaged gaseous mass monitoring data and be sent to above-mentioned Cloud Server management platform 600, then, then by Cloud Server
Management platform 600 by after arrangement image and data be sent to cell phone client.
In the present embodiment, which further includes unshowned power supply unit and middle-end transmission in Fig. 1
Equipment, wherein the power supply unit includes solar panels and lead-acid accumulator, it is contemplated that the phase of alternating current, solar energy and battery
Mutual compatibling problem, the power supply unit need insertion switch power supply and solar controller associated component, excellent when solar irradiation abundance
It is first solar powered, take second place for mains-supplied, be finally storage battery power supply, when accumulator electric-quantity deficiency, also need alternating current with too
Sun can charge to battery.And wireless network and local wire transmission both of which are equipped in terminal transmission equipment, and prop up
Hold the access of plurality of wireless networks mode.
In the present embodiment, which further includes that (PC terminal conduit pats for unshowned local in Fig. 1
Platform) management platform, the local (PC terminal management platform) management platform directly to add equipment management in local area network, go through by playback
The connection quantity of sensor is arranged in history videograph, checks the data value and data of sensor, automatically forms report to historical data
Table can be inquired at any time, and the fault cues platform is the device fails or power-off suspension when all mounted points,
Fault cues platform can be shown at once, and inform user in such a way that short message or message push in time.
Illustrated in fig. 2 is the second architecture diagram of gaseous mass monitoring system of the present invention.Optionally, the master control borad 100
It is connect by spi bus with the gas sensor plate 200, the gas sensor plate 200 is for acquiring polluted gas concentration
Data.
Optionally, the master control borad 100 is connect by spi bus with flash memory 700, and the flash memory 700 is for storing and managing
Manage system parameter and daily record data.
Optionally, the master control borad 100 includes five UART serial ports 810, and the particulate matter measurement module 310 includes particle
Object PM2.5 measurement module 311 and particulate matter PM10 measurement module 312, wherein the first UART serial ports 811 is used for particulate matter PM2.5
Measurement module 311 communicates, and the 2nd UART serial ports 812 is communicated for particulate matter PM10 measurement module 312, the 3rd UART serial ports 813
It is communicated for the communication module, the 4th UART serial ports 814 is communicated for the noise measurement module, the 5th UART serial ports 815
For system debug.
Optionally, the master control borad includes an I2C820, and the temperature and humidity atmospheric pressure measurement module 320 includes warm and humid
Spend measurement module 321 and atmospheric pressure measurement module 322, wherein the I2C bus 821 is logical for temperature and humidity measurement module 321
News, the I2C bus 821 are also used to the communication of atmospheric pressure measurement module 322.
Optionally, the master control borad includes AD input 830 outside six tunnels, wherein AD input 831 is for adopting outside the first via
The temperature of collection the first measurement cavity 910, the second tunnel outside AD input 832 is for acquiring the temperature of the second measurement cavity 920, third
AD input 833 is for acquiring the temperature of third measurement cavity 930 outside road, and AD input 834 is for acquiring wind speed outside the 4th tunnel
Data, the 5th tunnel outside AD input 835 is for acquiring wind direction data, and AD input 836 is used to acquire battery electricity outside the 6th tunnel
Press data.
Optionally, the master control borad includes 13 I/O ports 840, wherein six I/O ports (841-846) are for executing
The control of six road power supplys, three I/O ports (847-849) are used to execute three computer heating controls for measuring cavity (910-930), and one
Temperature Measure Control of a I/O port 850 for the measurement cavity, two I/O ports (851-852) are described for executing
The detection in place of gas sensor plate, an I/O port 853 are used to indicate lamp control.
Optionally, the gas sensor plate 200 includes gas sensor A plate 210 and gas sensor B plate 220,
In, the gas sensor A plate 210 and the gas sensor B plate 220 respectively include four sensors.
Optionally, four sensors (211-214) of the gas sensor A plate be respectively used to measurement SO2, NO2, CO,
Any four gas pollutant in O3, NO, H2S, NH3, HCL, CL2, C6H6, C2H3CL, C2H4O, CH4, the gas sensing
Four sensors (221-224) of device B plate be respectively used to measurement TVOC and SO2, NO2, CO, O3, NO, H2S, NH3, HCl,
Any three kinds of gas pollutants in Cl2, C6H6, C2H3Cl, C2H4O, CH4.
Optionally, the Cloud Server management platform 600 is for receiving the management number transmitted by the communication module 500
According to, wherein the management data include the gas concentration data acquired by the gas pollutant measurement module 350, by described
The particulate count evidence that particulate matter measurement module 310 acquires, the temperature and humidity acquired by the temperature and humidity atmospheric pressure measurement module 320
Data and barometric pressure data, the wind speed and direction data acquired by the wind speed and direction measurement module 330, by the noise testing
The noise data that module 340 acquires.
The beneficial effect of the present embodiment is, by proposing a kind of gaseous mass monitoring system, the system include master control borad,
Gas sensor plate, gaseous mass monitoring module, battery voltage measuring module, communication module, Cloud Server manage platform,
In, the gaseous mass monitoring module includes particulate matter measurement module, temperature and humidity atmospheric pressure measurement module, wind speed and direction measurement
Module, noise measurement module, gas pollutant measurement module.Realize a kind of inexpensive, more ginsengs of high-density griddingization layout
Manifold at compact minitype gas quality-monitoring scheme, the monitoring scheme of the gridding can all standing in region, realize high
The air monitoring of spatial and temporal resolution, meanwhile, pollution source tracking, early-warning and predicting are realized in the application of combining information big data
Deng providing more timely and effectively decision support for environmental pollution prevention and control.
Embodiment two
Illustrated in fig. 3 is the power module circuitry figure of gaseous mass monitoring system of the present invention, the power supply control of the module
Scheme introduces Switching Power Supply and solar controller phase in view of the compatible problem of alternating current, solar energy and battery
Component is closed, it is preferential solar powered when solar irradiation abundance, take second place for mains-supplied, is finally storage battery power supply, works as electric power storage
When the not enough power supply of pond, alternating current and solar energy is also needed to charge battery.
Illustrated in fig. 4 is the heating control module circuit diagram of gaseous mass monitoring system of the present invention, and the module is when outer
When boundary's temperature is lower than -10 DEG C, system can automatic identification temperature, to the starting heating of three heating cavities, until when being heated to 0 DEG C
Stop heating, to guarantee that the temperature under cryogenic conditions in heating chamber maintains between -10 DEG C to 0 DEG C.
Illustrated in fig. 5 is the noise measurement module circuit diagram of gaseous mass monitoring system of the present invention, which selects macro
The HB-NS502 noise transducer of Internet of Things, realizes the noise testing to surrounding enviroment, and measurement accuracy can reach 1.5dB.
Illustrated in fig. 6 is the temperature and humidity atmospheric pressure measurement module circuit diagram of gaseous mass monitoring system of the present invention, should
Module selects the digital pressure sensor HP303B of HOPERF, directly reads atmospheric pressure value by I2C, absolute precision is
1hPa；Measurement for temperature and humidity selects the digital hygro sensor TH06C of HOPERF, directly reads temperature and humidity by I2C
Value, temperature accuracy ± 1 DEG C, humidity precision: ± 5%RH.
Illustrated in fig. 7 is the wind speed and direction measurement module circuit diagram of gaseous mass monitoring system of the present invention, module choosing
With the FR-WD model wind transducer of the macro member of purple light, accuracy ± 3 °, 1 ° of resolution ratio, the measurement for wind speed selects purple light macro
The FR-WS model air velocity transducer of member, accuracy ± 0.3m/s, resolution ratio 0.1m/s.
Illustrated in fig. 8 is the particulate matter measurement module circuit diagram of gaseous mass monitoring system of the present invention, which uses
Particulate matter sensors based on laser can satisfy the requirement of correlation function and performance parameter, the particle based on laser
Object sensor is to can be realized the measurement for conventional PM2.5, PM10 based on light scattering method.In view of conventional granulates object passes
Sensor is carried out using PM2.5 to calibration standard, when the measurement accuracy to PM10 has mutually when desired, then using two particulate matter sensings
After device is carried out to mark respectively, then PM2.5 and PM10 are measured.It, can also be with for the high/low temperature adaptability of particulate matter module
It is realized by choosing different configuration of particulate matter sensors.
The beneficial effect of the present embodiment is, by select particulate matter measurement module, temperature and humidity atmospheric pressure measurement module,
Wind speed and direction measurement module, noise measurement module, gas pollutant measurement module implementing circuit.Realize a kind of high density net
The integrated compact minitype gas quality-monitoring scheme of low cost, the multi-parameter for layout of formatting, the monitoring scheme of the gridding can
The air monitoring of high-spatial and temporal resolution is realized in all standing in region, meanwhile, the application of combining information big data is realized
Pollution source tracking, early-warning and predicting etc. provide more timely and effectively decision support for environmental pollution prevention and control.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal (can be mobile phone, computer, service
Device, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The embodiment of the present invention is described with above attached drawing, but the invention is not limited to above-mentioned specific
Embodiment, the above mentioned embodiment is only schematical, rather than restrictive, those skilled in the art
Under the inspiration of the present invention, without breaking away from the scope protected by the purposes and claims of the present invention, it can also make very much
Form, all of these belong to the protection of the present invention.
Claims (10)
1. a kind of gaseous mass monitoring system, which is characterized in that the system comprises: master control borad, gas sensor plate, gas matter
It measures monitoring module, battery voltage measuring module, communication module, Cloud Server and manages platform, wherein the gaseous mass monitoring
Module include particulate matter measurement module, temperature and humidity atmospheric pressure measurement module, wind speed and direction measurement module, noise measurement module,
Gas pollutant measurement module.
2. gaseous mass monitoring system according to claim 1, which is characterized in that the master control borad by spi bus with
The gas sensor plate connection, the gas sensor plate is for acquiring polluted gas concentration data.
3. gaseous mass monitoring system according to claim 1, which is characterized in that the master control borad by spi bus with
Flash memory connection, the flash memory is for storage and management system parameter and daily record data.
4. gaseous mass monitoring system according to claim 1, which is characterized in that the master control borad includes five UART strings
Mouthful, the particulate matter measurement module includes particulate matter PM2.5 measurement module and particulate matter PM10 measurement module, wherein first
UART serial ports is communicated for particulate matter PM2.5 measurement module, and the 2nd UART serial ports is communicated for particulate matter PM10 measurement module, the
Three UART serial ports are communicated for the communication module, and the 4th UART serial ports is communicated for the noise measurement module, the 5th UART
Serial ports is used for system debug.
5. gaseous mass monitoring system according to claim 1, which is characterized in that the master control borad includes an I2C total
Line, the temperature and humidity atmospheric pressure measurement module include temperature and humidity measurement module and atmospheric pressure measurement module, wherein described
I2C bus is used for temperature and humidity measurement module communication, and the I2C bus is also used to atmospheric pressure measurement module communication.
6. gaseous mass monitoring system according to claim 1, which is characterized in that the master control borad includes AD outside six tunnels
Input, wherein AD input is for acquiring the temperature of the first measurement cavity outside the first via, and AD input is for acquiring outside the second tunnel
The temperature of second measurement cavity, the AD input of third road outside is for acquiring the temperature of third measurement cavity, and AD is defeated outside the 4th tunnel
Enter for acquiring air speed data, AD input is for acquiring wind direction data outside the 5th tunnel, and AD input is for acquiring outside the 6th tunnel
Battery voltage data.
7. gaseous mass monitoring system according to claim 1, which is characterized in that the master control borad includes 13 IO
Mouthful, wherein six I/O ports are used to execute the control of six road power supplys, and three I/O ports are used to execute adding for three measurement cavitys
Thermal control, Temperature Measure Control of the I/O port for the measurement cavity, two I/O ports are for executing the gas
The detection in place of body sensor plate, an I/O port are used to indicate lamp control.
8. gaseous mass monitoring system according to claim 1, which is characterized in that the gas sensor plate includes gas
Sensors A plate and gas sensor B plate, wherein the gas sensor A plate and the gas sensor B plate respectively include four
A sensor.
9. gaseous mass monitoring system according to claim 8, which is characterized in that four of the gas sensor A plate
Sensor is respectively used to appoint in measurement SO2, NO2, CO, O3, NO, H2S, NH3, HCL, CL2, C6H6, C2H3CL, C2H4O, CH4
Anticipate four kinds of gas pollutants, four sensors of the gas sensor B plate be respectively used to measurement TVOC and SO2, NO2,
Any three kinds of gas pollutants in CO, O3, NO, H2S, NH3, HCl, Cl2, C6H6, C2H3Cl, C2H4O, CH4.
10. gaseous mass monitoring system according to claim 1, which is characterized in that the Cloud Server management platform is used
In the management data that reception is transmitted by the communication module, wherein the management data include being measured by the gas pollutant
The gas concentration data of module acquisition, the particulate count evidence acquired by the particulate matter measurement module, by the temperature and humidity atmosphere
The data of the Temperature and Humidity module and barometric pressure data of pressure measuring module acquisition, the wind speed and wind acquired by the wind speed and direction measurement module
To data, the noise data acquired by the noise measurement module.
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| CN201910694617.0A CN110296741B (en) | 2019-07-30 | 2019-07-30 | Gas quality monitoring system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111766273A (en) * | 2020-07-06 | 2020-10-13 | 艾感科技(广东)有限公司 | Atmospheric gridding monitoring system and method by utilizing gas sensor array |
| CN113655175A (en) * | 2021-08-05 | 2021-11-16 | 重庆亿森动力环境科技有限公司 | Gridding air monitoring method, system, computer equipment and storage medium |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017054101A1 (en) * | 2015-09-30 | 2017-04-06 | 苏州富米信息技术有限公司 | Cloud of things online monitoring general platform system |
| CN106871965A (en) * | 2017-03-16 | 2017-06-20 | 清华大学 | A kind of multicomponent atmospheric environment gridding monitor |
| CN106885598A (en) * | 2015-12-15 | 2017-06-23 | 刘瑞平 | Distributed outdoor environment detecting system |
| CN206905796U (en) * | 2017-01-26 | 2018-01-19 | 合肥致盛节能科技有限公司 | Portable air monitoring sub-station |
| CN207263712U (en) * | 2017-06-20 | 2018-04-20 | 重庆扬讯软件技术股份有限公司 | Air quality on-line computing model |
| CN108303132A (en) * | 2017-01-13 | 2018-07-20 | 北京克林尔环保科技有限公司 | A kind of monitoring system for air pollution |
| CN207730721U (en) * | 2017-12-25 | 2018-08-14 | 山西大学 | A kind of air-quality monitoring system based on cloud service |
| CN108489875A (en) * | 2018-02-06 | 2018-09-04 | 济宁中科云天环保科技有限公司 | A kind of pollutant traceability system and method based on period statistical analysis |
| CN108593512A (en) * | 2018-07-02 | 2018-09-28 | 西安邮电大学 | A kind of air quality surveillance system and method |
| CN208012649U (en) * | 2018-01-26 | 2018-10-26 | 北京昱栎技术有限公司 | A kind of internet of things equipment based on the monitoring of urban environment integrated data |
| CN108759932A (en) * | 2018-08-07 | 2018-11-06 | 湖北因杰能源科技有限公司 | A kind of gridding atmosphere environment supervision data acquisition device |
| CN109000738A (en) * | 2018-09-27 | 2018-12-14 | 张浩然 | A kind of environmental monitoring system based on big data |
| CN109060038A (en) * | 2018-09-05 | 2018-12-21 | 武汉东湖大数据交易中心股份有限公司 | A kind of farm environment monitoring system based on big data |
| CN208282873U (en) * | 2018-06-27 | 2018-12-25 | 常州力航电气科技有限公司 | A kind of building site environment multi parameter intallingent detection system of double mode power supply |
| CN109375289A (en) * | 2018-11-12 | 2019-02-22 | 南京信息工程大学 | A kind of visualization automatic weather station system based on technology of Internet of things |
| CN109709010A (en) * | 2019-02-20 | 2019-05-03 | 北京市环境保护监测中心 | The atmospheric falling dust of expansible integrated design monitors system |
| CN109855685A (en) * | 2019-02-22 | 2019-06-07 | 滨州学院 | Unmanned plane environment monitoring device |
| CN210005046U (en) * | 2019-07-30 | 2020-01-31 | 中兴仪器（深圳）有限公司 | gas quality monitoring system |
-
2019
- 2019-07-30 CN CN201910694617.0A patent/CN110296741B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017054101A1 (en) * | 2015-09-30 | 2017-04-06 | 苏州富米信息技术有限公司 | Cloud of things online monitoring general platform system |
| CN106885598A (en) * | 2015-12-15 | 2017-06-23 | 刘瑞平 | Distributed outdoor environment detecting system |
| CN108303132A (en) * | 2017-01-13 | 2018-07-20 | 北京克林尔环保科技有限公司 | A kind of monitoring system for air pollution |
| CN206905796U (en) * | 2017-01-26 | 2018-01-19 | 合肥致盛节能科技有限公司 | Portable air monitoring sub-station |
| CN106871965A (en) * | 2017-03-16 | 2017-06-20 | 清华大学 | A kind of multicomponent atmospheric environment gridding monitor |
| CN207263712U (en) * | 2017-06-20 | 2018-04-20 | 重庆扬讯软件技术股份有限公司 | Air quality on-line computing model |
| CN207730721U (en) * | 2017-12-25 | 2018-08-14 | 山西大学 | A kind of air-quality monitoring system based on cloud service |
| CN208012649U (en) * | 2018-01-26 | 2018-10-26 | 北京昱栎技术有限公司 | A kind of internet of things equipment based on the monitoring of urban environment integrated data |
| CN108489875A (en) * | 2018-02-06 | 2018-09-04 | 济宁中科云天环保科技有限公司 | A kind of pollutant traceability system and method based on period statistical analysis |
| CN208282873U (en) * | 2018-06-27 | 2018-12-25 | 常州力航电气科技有限公司 | A kind of building site environment multi parameter intallingent detection system of double mode power supply |
| CN108593512A (en) * | 2018-07-02 | 2018-09-28 | 西安邮电大学 | A kind of air quality surveillance system and method |
| CN108759932A (en) * | 2018-08-07 | 2018-11-06 | 湖北因杰能源科技有限公司 | A kind of gridding atmosphere environment supervision data acquisition device |
| CN109060038A (en) * | 2018-09-05 | 2018-12-21 | 武汉东湖大数据交易中心股份有限公司 | A kind of farm environment monitoring system based on big data |
| CN109000738A (en) * | 2018-09-27 | 2018-12-14 | 张浩然 | A kind of environmental monitoring system based on big data |
| CN109375289A (en) * | 2018-11-12 | 2019-02-22 | 南京信息工程大学 | A kind of visualization automatic weather station system based on technology of Internet of things |
| CN109709010A (en) * | 2019-02-20 | 2019-05-03 | 北京市环境保护监测中心 | The atmospheric falling dust of expansible integrated design monitors system |
| CN109855685A (en) * | 2019-02-22 | 2019-06-07 | 滨州学院 | Unmanned plane environment monitoring device |
| CN210005046U (en) * | 2019-07-30 | 2020-01-31 | 中兴仪器（深圳）有限公司 | gas quality monitoring system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111766273A (en) * | 2020-07-06 | 2020-10-13 | 艾感科技(广东)有限公司 | Atmospheric gridding monitoring system and method by utilizing gas sensor array |
| CN111766273B (en) * | 2020-07-06 | 2023-12-22 | 艾感科技(广东)有限公司 | System and method for performing atmosphere meshing monitoring by utilizing gas sensor array |
| CN113655175A (en) * | 2021-08-05 | 2021-11-16 | 重庆亿森动力环境科技有限公司 | Gridding air monitoring method, system, computer equipment and storage medium |
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