CN105424840A - On-line continuous environmental air quality automatic monitoring system and peculiar smell source tracing method - Google Patents

On-line continuous environmental air quality automatic monitoring system and peculiar smell source tracing method Download PDF

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CN105424840A
CN105424840A CN201510995364.2A CN201510995364A CN105424840A CN 105424840 A CN105424840 A CN 105424840A CN 201510995364 A CN201510995364 A CN 201510995364A CN 105424840 A CN105424840 A CN 105424840A
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base station
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operation valve
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CN105424840B (en
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周俊杰
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N35/00Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
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    • G01N2030/025Gas chromatography

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Abstract

The invention discloses an on-line continuous environmental air quality automatic monitoring base station, an automatic monitoring network system composed of a plurality of non-point source grid base stations and a data processing center, and a method of tracing with the system. The base station consists of an automatic sampling module, a sensor module and a meteorological monitoring module that are connected to a data transmission module. The data processing center monitoring the network system is equipped with databases, terrain data and a meteorological diffusion model. Once sampling occurs to the base station disposed in a protection zone of the system due to the deterioration of air quality, the data processing center runs the meteorological diffusion model according to real time data, calculates the occurring source that can affect the protection zone in the monitoring zone, and starts the base station set nearby the occurring source to perform sampling, a fast gas phase electronic nose is utilized to perform gas sample fingerprint analysis on the collected sample and compare fingerprint technology similarity, and the source can be traced according to the similarity. The system and the method have the characteristics of high precision, fast analysis speed and real-time grabbing of air samples, and provide sample guarantee for tracing positioning.

Description

On-line continuous atmosphere quality automatic monitor system and peculiar smell source of the gas source tracing method
Technical field
The present invention relates to a kind of on-line continuous atmosphere quality automatic monitor system, further relate to a kind of in conjunction with diffusion model, automatically sampling is set after fingerprint analysis comparison air peculiar smell source of the gas location traceability system and utilize this system to carry out the method for tracing to the source.
Background technology
For sake of convenience, use title as follows in this instructions:
Peculiar smell: to people uncomfortable feel bad sensation smell; Stench: serious stink, belongs to peculiar smell; Strictly do not distinguish the usage of this title.Peculiar smell/foul gas occurring source refers to the emission source of peculiar smell/foul gas such as release such as some production unit, landfill yards etc.Protected location refers to that residential block, dense population areas etc. need the region protected air quality, generally leaves corresponding monitored space, once the discharge of monitored space generation peculiar smell, foul gas, can have influence on protected location; The region of the protected location air qualities that may have an impact such as monitored space Zhi industrial park, landfill yard, belongs to the region that will monitor in the present invention.There occurs the discharge of peculiar smell foul gas in monitored space, the local of this discharge is called emission source, also referred to as generating region or occurring source.Occurring source lays particular emphasis on naturally-occurring, and emission source lays particular emphasis on initiatively discharge, from the angle of monitoring, is all the peculiar smell or the foul gas occurring source that affect air quality.Base station, the apparatus of the monitoring network arranged in the present invention, complete monitoring air peculiar smell, weather information, the package unit of electric power supply etc., can be mounted in a chamber installation on shelf or a cabin, can leak informaton rainproof.
Due to industrial discharge, contaminated environment is day by day serious, the health of infringement people.Environmental air pollution, the discharge event of gas with foreign flavor, particularly foul gas discharge event occurs often, special have in a region multiple when gas with foreign flavor may occur particularly foul gas emission source exists, utilize prior art to be usually difficult to locate concrete stench occurring source/emission source, bring difficulty to early warning, improvement, law enforcement.
In prior art, usually online continuous loop border Air quality automation monitoring system is built like this: gridding arranges monitoring base station (or the site in a network), the Monitoring Data of monitoring base station is uploaded to server or is called data processing centre (DPC), data processing centre (DPC) determines the site that monitor value is high, to determine the approximate region of malodor source according to Monitoring Data distribution.
Monitoring base station is equipped with meteorology (air pressure, temperature, humidity, wind direction, wind speed) and stench monitoring instrument usually.According to meteorological and stench data and Network records historical data, calculate the position of generation/emission source.
In such site, stench measures and usually measures for stench mark, but
1), when there is stench, namely people experiences stench or unpleasant or uncomfortable, and its specific stench marker concentration is not necessarily high; 2) measure stench mark, because the occurring source with identical mark is many, in this case, be difficult to the source/stench origination point distinguishing stench; 3) discharge is through after a period of time, only only has the read-record of sensor when discharge occurs, and air sample is not retained at that time, brings uncertainty equally to location occurring source, more difficultly carries out according to this administering and enforces the law.
In recent years, Electronic Nose or the conbined usage such as Electronic Nose and electrochemical sensor is used, such as, in " feature based pollutant and Electronic Nose double mode air peculiar smell monitor and early warning system " (CN204667597U) of the present inventor, be made up of sensor assembly, meteorological module, data transmission module and data processing centre (DPC).Wherein in sensor assembly, select selective sensor to representative malodor gas such as sulfuretted hydrogen (H2S, and sulfhydryl compound, thiophenes), hydrogen chloride (HCl), amine gas (NH3 and amino-compound) and total volatile organism (TVOC), and by Electronic Nose, the gas with peculiar smell to be monitored.Wherein, Electronic Nose used is French A Mosi (AlphaMOS such as, France) metal oxide electron nose, wherein optionally be equipped with 3 or more, such as 16 for the different sensor of all kinds of gas sensitization degree, determine the relation of the stench felt with people according to its response or the collection of illustrative plates that has response characteristic to be formed, the sensation of people and the relation of measurement value sensor can be solved preferably.
According to this technical scheme, carry out monitoring and early warning, less and each the dispersion of source point physical distance occurs at gas with foreign flavor generation source point, also can trace to the source.But due to resolution/limited precision, complicated to occurring source, intensive in physical distance, the Electronic Nose of the type is just difficult to distinguish occurring source, brings difficulty to tracing to the source.
Another is based on the Electronic Nose of gas chromatography, the chromatographic column that two kinds of polarity is different is had in machine, after air sample gas enters chromatogram, due to the difference of polarity, the retention time of composition in air respectively in two kinds of chromatographic columns is different, form distinctive two width spectrograms (being also called for short two-dimentional spectrogram, finger-print), information process-is carried out to two width collection of illustrative plates, fingerprinted sign spectrum can be carried out to source gas.Its representative products is the quick gas phase Electronic Nose such as HARACLE of French A Mosi, it can characterize gaseous sample by Fast Measurement, analysis time is that each gaseous sample is the longest 5 minutes qualitatively, also be prefixed the two-dimentional finger-print of tens thousand of kinds of compounds in instrument and carry out the software of finger-print comparison, various statistical study can be carried out to finger-print, such as principal component analysis (PCA), Assessing parameters analysis (DFA), calculate the similarity between finger-print.Due to gas componant, to be separated retention time on a column all variant, and the retention time of record and Abundances form collection of illustrative plates, characterize as fingerprint, and its resolution is improved greatly.
It applies visible Chinese patent application: " a kind of method utilizing quick gas phase Electronic Nose to differentiate liquor brand " (CN104267134A), " a kind of monitoring method of liquor grade " (CN102980948A), the assay method of " in a kind of claret " stable taste " bad flavor material " (CN104007194A), " a kind of method utilizing fast gas chromatography type Electronic Nose fingerprint analysis system to differentiate age of Chinese rice wine " (CN102645502A), and paper " the geographical sign rice place of production based on Electronic Nose Technology trace to the source research " (processing of farm products, 2014(12), doi:10.3969/jissn.1671-9646(X) .2014.12.041), " the Electronic Nose gas monitoring system based on gas chromatography " (technology and creative management, 2011 the 32nd volume the 6th phases, 687-690).Show that this quick gas phase Electronic Nose available is distinguished and these analytic targets qualitative effectively.
The present inventor, through prolonged application research and development with keen determination, upgrading is carried out to peculiar smell monitor and early warning system formerly, technological means coupling automatic sampling system is taked in discovery, and air plllutant model calculates, in conjunction with the technological means of quick gas phase Electronic Nose, can real-time sampling, quick fingerprinted comparison, can accurately trace to the source: trigger automatic sample event when site, protected location measured value reaches preset value, air quality distribution is calculated according to diffusion model, find out in monitored space and may automatically sample site, occurring source region, by automatically sampling, the sample obtained carries out the analysis of quick gas phase Electronic Nose, obtain sample fingerprint, carry out fingerprint comparison, determine that stench is originated.Overcome stench in prior art when occurring, be difficult to take air sample in time and analyze not in time and the not high enough defect of precision of tracing to the source, make the process of tracing to the source quick, accurately; The sample of indwelling can also be used for further Analysis and Identification.Set automatic sampling system can also be met an urgent need sampling analysis.
Summary of the invention
The invention provides a kind of on-line continuous auto-monitor of surrounding air quality to meet an urgent need automatic sampling system, provide a kind of further and carry out emergent sampling automatically, fast the air peculiar smell of fingerprint comparison according to Real-time Monitoring Data and to trace to the source monitoring network system and use this network system to carry out the method for tracing to the source.
First the present invention provides a kind of on-line continuous auto-monitor of surrounding air quality to meet an urgent need automatic sampling system
Automatic sampling module 1, is set to connect the data transmission module 2 and carry out sampling action according to data transmission module 2 instruction;
Data transmission module 2, has multiple data exchange interface, is set to exchange data and instruction with external communication, connecting sensor module 3, accepts sensor assembly 3 signal, the automatic sampling module 1 of instruction;
Sensor assembly 3, this module includes sensor group air smell component being had to response, is set to be connected with data transmission module 2, data transmission module 2 read sensor module 3 data.(Fig. 1)
The second, the invention provides a kind of on-line continuous auto-monitor of surrounding air quality base station 20, comprise with lower module:
Automatic sampling module 1, is set to connect the data transmission module 2 and carry out sampling action according to data transmission module 2 instruction;
Data transmission module 2, there is multiple data exchange interface, be set to exchange data and instruction with external communication, connecting sensor module 3, accept sensor assembly 3 signal, connect weather monitoring module 4, accept weather monitoring module 4 information, the automatic sampling module 1 of instruction;
Sensor assembly 3, this module includes sensor group air smell component being had to response, is set to be connected with data transmission module 2, data transmission module 2 read sensor module 3 data;
Weather monitoring module 4, is set to monitor this local, region, base station weather information.(Fig. 2)
Three, the present invention further provide a kind of and automatically sample according to Real-time Monitoring Data, the on-line continuous auto-monitor of surrounding air quality network system of fingerprint comparison fast, the above-mentioned on-line continuous auto-monitor of surrounding air quality base station 20 arranged by data processing centre (DPC) 5, the gridding of source, face forms.(Fig. 3)
Certainly, the parts of electric power are needed all to need to configure electric power in whole device, electric power supply system can be configured according to prior art, it can be civil power, also can be battery, particularly combine sun power, wind energy, and the self-supporting power system of electrical power storage function as well, also the combination being equipped with civil power and self-contained unit can be powered.Detailed description is had in the earlier application (CN204667597U) of the present inventor.
The described sensor assembly 3 air smell component being had to response, can select Electronic Nose, the specific foul gas such as sulfuretted hydrogen (H of the responsive air peculiar smell of energy 2s), ammonia (NH 3) etc., the sensor of the air-polluting material such as total volatile organism (TVOC) one or several combine, according to the actual conditions of emission gases, responsive sensor can be selected as well.This module generally provides signal condition and data output interface, and convenient and other equipment carry out exchanges data, are read data by other equipment.
In order to the Output rusults reaching sensor assembly can be directly consistent with the sensation peculiar smell degree of people, to sensor, particularly there is the sensor of good signal condition processing capacity, Electronic Nose, manually can smell and distinguish assignment.Such as be oxidized physical property Electronic Nose RQBOX to French A Mosi and can carry out peculiar smell malodorous grades assignment according to such as under type, making to export data is exactly into excessively manually smelling the malodorous grades value distinguishing domestication:
Set automatic sampling condition, automatic collection site air sample;
To the air sample gathered, measuring record by Electronic Nose, allow and smell the person of debating and use scene to smell to distinguish instrument to smell to distinguish and provide malodorous grades value, distinguishing that the malodorous grades value assignment that provides is to measured value (one group of respective value) corresponding to Electronic Nose smelling;
By the respective value of acquisition to the fitting software of Electronic Nose, obtain the regression parameter of Electronic Nose response;
Regression parameter is applied to Electronic Nose response model, during mensuration, Electronic Nose directly exports malodorous grades numerical value.
Certainly, in order to obtain regression parameter more accurately, need the sample size more than at least 6 gathered, and the concentration of sample respectively can the scope of overlay measurement, artificial stochastic sampling usually, being difficult to collect the sample sets that sample concentration is evenly distributed.Therefore, use automatic sampling system, sample when the measured value that just can arrange sensor particularly Electronic Nose reaches certain value, such as, for stench value, set 1,2,4,6,10,20,40,60,80 is equivalent, carries out systematic sampling, in order to tame sensor particularly Electronic Nose.
Described automatic sampling module 1, primarily of sampling container, air pump, motorized valve, baroceptor and control system composition, sampling container wherein generally has sampling air bag and sampling gas cylinder.When adopting air bag, pump can be adopted to be connected with air bag, during sampling, directly to pump into air sample.The impact of gas remaining in air bag, adopt passive sampling as well, namely air bag is set in a container (air bag accommodating cavity), is arranged between air bag and air bag accommodating cavity after air bag accommodating cavity vacuumizes, between air bag and air bag accommodating cavity, produces negative pressure state.Or directly adopt gas sampling bottle, agate tank of such as reviving, coordinate with operation valve and air pump vacuumize stand-by.When receiving sampling instruction, control system opens sampling valve, makes air automatically enter sampling container due to the negative pressure of sampling container.Certainly, air bag accommodating cavity can will not vacuumize in advance, when receiving sampling instruction, restarting air pump and vacuumizing.
Particularly, automatic sampling module 1 is configured to:
Be placed in the sampling container 12 in chamber resettling 11, chamber resettling 11 is connected with aspiration pump 14 pipeline by the first operation valve 13, and chamber resettling 11 pipeline is connected with pressure transducer 15, and sampling container 12 is connected with surrounding air by the second operation valve 16 pipeline; Pressure transducer 15 signal is connected to controller 17, and controller 17 connects the first operation valve 13, second operation valve 16, aspiration pump 14.(Fig. 4)
When normality is in standby, the first operation valve 13 and the second operation valve 16 are in closed condition.
During operation, can be undertaken by two kinds of modes, the first is by chamber resettling 11 forvacuum, that is:
When pressure transducer 15 perception chamber resettling 11 vacuum tightness declines, controller 17 is opened air pump 14 and is opened the first operation valve 13 and vacuumizes, and keeps the vacuum tightness of chamber resettling 11; When receiving sampling instruction, the second operation valve 16 opened by controller 17, and surrounding air enters sampler bag; When sampling complete, controller 17 cuts out the second operation valve 16, arranges the complete state of sampling to data transmission module 2.
Or by the second way, i.e. chamber resettling 11 not forvacuum, vacuumizes when receiving sampling instruction, that is:
When receiving sampling instruction, air pump (14) opened by controller (17) and the first operation valve (13) carries out vacuumizing chamber resettling (11), opens the second operation valve (16), surrounding air enters sampler bag; When sampling complete, controller (17) cuts out the second operation valve (16), air pump (14) and the first operation valve (13), sends the complete signal of sampling to data transmission module 2.
The second way and first kind of way, effect is identical, and the leakage of the trace under long-time vacuum state can also be avoided to mix.
In addition, sampling Soviet Union agate tank 2 also can be adopted to sample, sampling Soviet Union agate tank 2, normally vacuumize state in advance, can save the pumpdown time like this, at this moment, automatic sampling module 1 is:
The sampling Soviet Union agate tank 12 of forvacuum, is connected with air pump 14 through the first operation valve 13 by pipeline, is connected through operation valve 15 with pressure transducer, be connected through operation valve 16 with surrounding air; Pressure transducer 15 signal is connected to controller 17, and controller 17 connects the first operation valve 13, second operation valve 16, aspiration pump 14(Fig. 5);
Carrying out practically mode is: when pressure transducer 15 perception sampling Soviet Union agate tank 12 vacuum tightness declines, air pump 14 opened by controller 17 and the first operation valve 13 vacuumizes, and keeps the vacuum tightness of sampling Soviet Union agate tank 12; When receiving sampling instruction, the second operation valve 16 opened by controller 17, and surrounding air enters sampling Soviet Union agate tank 12; When sampling complete, controller 17 cuts out the second operation valve 16, arranges the complete state of sampling to data transmission module 2.
Conveniently, the connection of sampler bag and gas circuit adopts and removably connects.The general web member that can keep not leaking.
The sample storage device of automatic sampler can configure more than 1 or 1, configures more than 1 and as well can work as sampling time interval in short-term, can uninterruptedly sample continuously.
Described automatic sampling module 1 can be arranged in parallel 2 to 4, be parallel-connected to (Fig. 6) on data transmission module 2 by controller 17;
Also described automatic sampling module 1 can be configured 2 to 4, be set to the air pump 14 in shared automatic sampling module 1 and controller 17, controller 17 signal connects the first operation valve 13, second operation valve 16, pressure transducer 15 in air pump 14 and each automatic sampler module, and air pump 14 is connected with the operation valve 13 in each automatic sampling module.(Fig. 7,8)) that is, the pump 14 in sampling thief 1 to be removed shared with controller 17, remaining part 10 arranges multiple air pump 14 that is parallel to on controller 17, is beneficial to the saving in space like this, the miniaturization of equipment.
Its composition of the gaseous sample of usual collection easily changes, and brings difficulty to accurate measurements.Therefore, its container gathering gaseous sample needs to adopt avoids the absorption of gas sample constituents, container such as the E-switch board foil laminated film gas sampling bag (2L) and ENTECH company Su Ma tank of change, the inwall of such sampler bag or Soviet Union's agate tank has all carried out special processing, makes air sample to preserve the long period and not change; On the other hand, sample needs instant analysis, and avoid long-time preservation, this just needs fast analyser, and therefore, quick gas phase Electronic Nose is good selection.Special in gaseous sample quantity to be measured is more, its advantage is just obvious.
Described data transmission module 2, is connected with sensor assembly 3, automatically sampling module 1, meteorological module 4, and is connected with data processing centre (DPC) 5 by network.
Described data transmission module 2, according to the form preset and the time interval, by base station monitors data, comprise sensing data and be uploaded to data processing centre (DPC), simultaneously according to following three kinds of situations, send to automatic sampling module 1 instruction of automatically sampling, and this event be uploaded to data processing centre (DPC):
1) when sensing data arrives setting value; Or
2) when sensing data exceeds apparatus quality control critical value (SQC); Or
3) when receiving the sampling instruction that data processing centre (DPC) sends.
The form adopted when described default form refers to that data are transmitted, there are industry standard or national standard or international standard, its standard can be adopted, also the mode of any convenience and saving, fast transport can be adopted, normally to pack transmission, in the described time interval, can determine according to demands such as following the tracks of or analyze the precision that needs, can sample tens seconds practical to a few minutes interval, such as 30 seconds to 2 minutes.
Described when sensor arrives setting value, setting value wherein, can be set to 1 value, also sectional arranges multiple setting value, for the data of monitoring sensor, samples.
When sensing data exceeds sensor mass control critical value data (SQC), because SQC have recorded fluctuation range when instrument normally runs, when reading exceeds normal fluctuation range, indicate exception, if reading represents air peculiar smell, concentration exceeds the upper limit, may be that air peculiar smell occurs; If reading is abnormal low, may be that instrument and equipment is out of order.
Described subsection setup, such as, when exceeding on SQC triggering first sample event in limited time, triggers the second sample event when higher setting value, and the 3rd event.As required several setting value can be set with sampler bag quantity in advance.Both can preset, also can according to data processing centre's instruction setting.
Described when receiving the sampling instruction that data processing centre (DPC) sends, namely data processing centre (DPC) can send instruction as required and samples; Special in running into accident emergency condition, sampling indwelling can be carried out in the specific base station of instruction neatly.
The connection (Fig. 3, Fig. 9) of data transmission module 2 and data processing centre (DPC) 5, can be that wired or wireless network connects, can adopt GPRS mode, 3G, 4G mode connects, exchange data with data processing centre (DPC), send and accept instruction.The packing of the data of monitoring base station is sent to data processing centre (DPC) by data transmission module 2.
Carry out gridding needing the region (hereinafter referred to as monitored space) of monitoring and possibility affected area (hereinafter referred to as protected location) and arrange base station, site, be connected by the data transmission module 2 of each base station with data processing centre (DPC), concerted action, forms monitoring network system.
Described source, face gridding arranges base station, refers at monitored space to arranging multiple monitoring base station in the mode split or surround by occurring source (emission source), at protected location setting at least 1 monitoring base station.According to the size of protection zone, multiple monitoring base station covering protection district can be set.(Figure 10)
Described protected location; refer to the region needing to protect its air quality; be generally residential block or populated area; worsen once this protection zone there occurs air quality; such as peculiar smell, stench allow people feel uncomfortable; now, the source reviewing these peculiar smell, foul gas is needed---namely trace to the source.
The monitoring of prior art; once there occurs air peculiar smell, the stench event of protected location; although have recorded and concentration dependent sensing data according to the site of guarded region; but; these sensing datas are common sensations of a kind of people's sense of smell; can not the peculiar smell in distinguishing protection district, the gas componant of stench and monitored space the gas componant of which part (site) similar, be difficult to trace to the source.
Described data processing centre (DPC) 5, includes database module, gas phase diffusion model module, calculation process instruction module; Database module record wherein comprises each base station monitors data, comprises each automatic sampling system information, air mass sensor module data, weather data, each base station geographic position data, and records the terrain data comprising monitored space and region, protected location; Terrain data has had commercial free terrain data edible, and it is that diffusion model is used that the terrain data import tool that the terrain data in the present invention has air plllutant model to carry imports public terrain data; Data processing centre (DPC), real-time reception record is from the data of each site base station data transport module 2.Certain hour interval pressed by diffusion model, calculates air gas with foreign flavor CONCENTRATION DISTRIBUTION according to weather data, sensing data, each base station geographic position data, terrain data, and according to setting, sends to display terminal.Certain time interval, can determine by calculated amount and demand, usually calculates by the time interval of several minutes such as 2 minutes to 10 minutes, can obtain the continuous transformation distribution plan of practical precision.When automatic collected specimens event occurs, can instant computing.
According to the on-line continuous auto-monitor of surrounding air quality network system above with automatic sampling apparatus, in conjunction with the analysis fingerprint comparison of quick gas phase Electronic Nose, the invention provides a kind of air peculiar smell occurring source source tracing method based on retention indices.
The method realizes like this tracing to the source:
When protected location network aware air quality occurs abnormal, trigger automatic sample event (protected location gaseous sample), and sample event information is uploaded to data processing centre (DPC) 5;
Data processing centre (DPC) 5, air gas with foreign flavor CONCENTRATION DISTRIBUTION is calculated according to weather data, sensing data, each base station geographic position data, terrain data, calculate the occurring source scope a that may have an impact to protected location accordingly, instruction of automatically sampling is sent to occurring source scope a Intranet point base stations; Send and carry out the instruction of quick gas phase Electronic Nose analysis task; (Figure 10)
The fingerprint analysis that quick gas phase Electronic Nose completes sample characterizes;
The sample finger-print of protected location and each sample finger-print of monitored space are compared by quick gas phase Electronic Nose fingerprint comparison software, calculate the similarity of monitored space each sample and protected location sample;
According to similarity, determine occurring source position.
The diffusion profile of described calculating, wherein contain may occurring source site to the contribution degree tentative data of protected location peculiar smell, stench, what have certain contribution degree to protected location is the occurring source scope a that possible have an impact.
The similarity comparison of finger-print completes in the comparison software carried in quick gas phase Electronic Nose, and the finger-print of monitoring can be compared by software, provides similarity data.
Suppose that the base station within the scope of occurring source has 3, carried out automatic sampling and obtained finger-print A, B, C, the finger-print of the sample of protected location is D, so can by A, B, C respectively with D comparison, discharge similarity size come.Similarity is larger, so more determines it is the occurring source affecting protected location, completes and trace to the source.
Wherein so-called fingerprint comparison, the explanation guide of detailed principle and operation its equipment visible, finger-print comparison method can be principal component analysis (PCA) PCA or Assessing parameters analysis (DFA), can provide the similarity of definition.
On-line continuous auto-monitor of surrounding air quality base station of the present invention forms a site of monitoring network of the present invention, can layout according to actual conditions in one network, desirable layouts into grid, rule like this owing to layouting, offer convenience to data operation etc., in order to effective monitoring and possible emission source of tracing to the source, when one will be monitored may have the occurring source of peculiar smell or foul gas to airborne release, due to geographic position, the obstacles such as buildings, be difficult to layout at its origination point by grid, also uneconomical, normally around it (encirclement), adjacent may occurring source boundary (segmentation) or carry out by certain interval setting of layouting.
Each base station trigger condition of automatically sampling can set as required.During general operation, when the automatic sampling being arranged on the base station of monitored space triggers and is traditionally arranged to be the instruction receiving data processing centre (DPC) 5, the automatic sampling triggering being arranged on the base station of protected location is traditionally arranged to be sensor reading and exceedes certain threshold value.
The quick gas phase Electronic Nose used in the present invention, site can be set directly at, the online mode be set together with automatic sampling system, be connected by air valve with sampling container, when obtain sampling complete analyze time, start instrument, when instrument enters analysis state, unlatching air valve importing sampling enters quick gas phase Electronic Nose and analyzes, and obtains sample finger-print, uploading data processing enter; Also can taking off-line test mode, when receiving after data processing centre (DPC) carries out fingerprint analysis instruction, sample being collected, carry out the fingerprint chromatogram that quick gas phase Electronic Nose fingerprint analysis obtains each sample and characterize, uploading data processing enter.Consider price and the operating cost of quick gas phase Electronic Nose, the online mode combined with off-line can be adopted; Offline mode also can adopt vehicle-mounted mobile mode, more can shorten analysis time.
Described gas phase swift electron nose, there is supply in market, and French A Mosi is produced, and has had several model supply, fast compact, such as HARACLE.Its principle is, the chromatographic column that two kinds of polarity is different is had in gas phase swift electron nose, after air sample gas enters chromatogram, due to the difference of polarity, retention time in two kinds of chromatographic columns is different, through monitoring record retention time and Abundances, and form distinctive two width spectrograms after information standardization process, this two width collection of illustrative plates is referred to as finger-print.The gas of separate sources, the gas that composition is different, its finger-print is different, accordingly, can carry out fingerprint comparison.So-called finger-print, can use right-angle coordinate representation, also can use polar coordinate representation, when polar coordinate mode represents, show as nebula figure.Typically two emission sources are tested, as factory A(solid line in Figure 11 for one) with factory B(dotted line) finger-print comparison find that there is obvious difference, the retention time on two root chromatogram columns is different with abundance.
Test multiple occurring source (emission source), carry out statistical study, a typical case of the present invention, for occurring source 3 factory testings, after principal component analysis (PCA), can find out, the method can distinguish the characteristic of 3 (AG, AB, AM) emission sources significantly.(Figure 12)
Air plllutant model wherein, had based on various hypothesis and theoretical model, ultimate principle is, main base area graphic data, the air pressure of air, temperature, humidity, wind speed, wind direction, calculates certain material spatial and temporal distributions in an atmosphere.Meticulousr model, with compound database, records compound and decays under meteorological condition, the information such as sedimentation.Such diffusion model, can common bibliographical information, also business is had to provide, such as, France Plum ' AIRDispersionmodelling software, this software is based on Lagrangian model, according to the meteorology uploaded (wind speed, wind direction, humidity, air pressure, temperature, rainfall, solar radiation), source of the gas position and intensity and geographic factor, the spread condition of simulation different chemical gas and stench, provide distribution, and be expressed as distribution plan, distributing by certain hour interval calculation and superposing forms dispersion ability distribution plan.According to this calculating, measurable gas carrys out source range and coverage and each pollution source point contribution degree for neighboring area.
In the present invention; when the automatic sample event in protected location occurs; calculate air gas with foreign flavor CONCENTRATION DISTRIBUTION according to weather data, sensing data, each base station geographic position data, terrain data, according to preset value, calculating may involved area scope and possibility occurring source regional extent (Figure 10).
Data processing centre (DPC) sends instruction of automatically sampling to the site in scope according to this range data.
For the little Polluted area in large regions, this zonule can be carried out grid and to be layouted or enclosed is layouted, same system and method can be used, comparison goes out equivalent data (air quality peculiar smell time of origin, peculiar smell value, peculiar smell fingerprint), use this equivalent data to represent this source, pollution face, zonule, as a point (equivalent site) of Local Area Network more greatly, can increase the expansivity of network like this, the specific aim of layouting, reaches the effect that emphasis monitoring takes into account cost savings.
Further, when collecting the sample of each possible emission source, just directly the sample fingerprint of protected location and its comparison, similarity can be provided, is directly traceable to possible emission source.
Or, on the basis of above-mentioned tracing comparison, carry out the finger-print comparison of protected location sample finger-print and occurring source simultaneously.
If finger-print comparison that is direct and occurring source, wherein there is the occurring source that similarity is high, directly can draw result of tracing to the source, if can not obtain the comparison result that similarity is high, the finger-print of occurring source that may be original there occurs change, and such as change production technology, formula, product etc. make emission gases composition there occurs change, now, still should be preferential with monitoring base station finger-print comparison result.
The sample finger-print of the possible emission source (also claiming occurring source) of monitored space, can have several mode to obtain:
The first directly gathers air sample at its floss hole, and quick gas phase Electronic Nose analyzes its finger-print, and it is for future reference to be stored in data processing centre (DPC);
The second is, when the sample of emission source directly can not be obtained, and can when there is protected location and automatically sampling, the base station be traceable to, according to weather data at that time, particularly wind direction and wind speed, can occurring source be specific to, accumulated history data, the emission source sample fingerprint in monitored space can be obtained;
The third is, directly in the automatic collected specimens threshold value of base station sets that emission source is arranged, collected specimens during peculiar smell concentration height near this base station, analyzes finger-print, according to weather data accumulation, can obtain the sample finger-print of the emission source near this base station.
By above method, carry out accumulation data, the fingerprint databases of monitored space emission source can be built up.Certainly, this fingerprint databases also can time to time change, utilizes automatic sampling system of the present invention can follow the tracks of the fingerprint databases upgrading monitored space emission source, for future reference for being directly traceable to emission source.
In sum, the present invention, on the basis of existing on-line continuous auto-monitor of surrounding air quality network system, automatic sampling system is provided with in base station, the heart has been coupled air plllutant model in data handling, the air peculiar smell CONCENTRATION DISTRIBUTION of energy real time modelling monitored space and protected location, once severe air quality problems and the impact of serious peculiar smell stench generation on protected location occur, automatic collected specimens in time, data processing centre (DPC) is according to the estimation of diffusion model, sample automatically in the base station of occurring source possible in instruction monitored space, by the quick fingerprinted analysis of quick gas phase (chromatogram) Electronic Nose, comparison, can accurately determine that namely occurring source traces to the source.Technique effect is obvious.Network have recorded data, indwelling air sample simultaneously, can be used for subsequent analysis needs.
Accompanying drawing explanation
Fig. 1 on-line continuous auto-monitor of surrounding air quality automatic sampling system schematic diagram, is made up of automatic sampling module 1, data transmission module 2 and sensor assembly 3.
Fig. 2 on-line continuous auto-monitor of surrounding air quality base station forms schematic diagram, and the system of Fig. 1 adds meteorological module 4.
Fig. 3 on-line continuous auto-monitor of surrounding air quality base station is connected to long-range data processing centre (DPC) 5, can exchange data, accept instruction schematic diagram.
Fig. 4 on-line continuous auto-monitor of surrounding air quality automatic sampling system schematic diagram, the formation of automatic sampling module 1 wherein, sample-holding container is sampler bag.
Fig. 5 on-line continuous auto-monitor of surrounding air quality automatic sampling system schematic diagram, the formation of automatic sampling module wherein, sample-holding container is Soviet Union's agate tank.
Fig. 6 on-line continuous auto-monitor of surrounding air quality automatic sampling system schematic diagram, has the formation of the automatic sampling module of multiple unit 10 that keeps sample.
Fig. 7 on-line continuous auto-monitor of surrounding air quality automatic sampling system schematic diagram, have multiple unit 10 that keeps sample the formation of automatic sampling module, sample-holding container is sampler bag.
Fig. 8 on-line continuous auto-monitor of surrounding air quality automatic sampling system schematic diagram, have multiple unit that keeps sample the formation of automatic sampling module, sample-holding container is Soviet Union's agate tank.
Fig. 9 multiple on-line continuous auto-monitor of surrounding air quality base station 20 connects to form monitoring network schematic diagram with data processing centre (DPC) 5.
Figure 10 on-line continuous auto-monitor of surrounding air quality network arrangement and sample event trigger schematic diagram, and level line wherein represents the real-time concentration distribution calculated by diffusion model.The expression concentration of level line more inner ring is higher.Guarded region 200, protected location 300.When protected location triggers sample event, in monitored space, the scope a more than finite concentration is possible occurring source region.201 for the base station 20,202 being arranged on monitored space be occurring source, 301 for being arranged on the base station 20 of protected location.
The quick gas phase Electronic Nose of Figure 11 is analyzed two occurring source gases and is analyzed finger-print alignment similarity (A factory: solid line; B factory: dotted line) schematic diagram.
The two dimension identification collection of illustrative plates schematic diagram obtained after the finger-print of Figure 12 to swift electron nose analysis three occurring source carries out main composition (PLA), can know the feature of differentiation three factories (AG, AB, AM) from figure.
Embodiment
Content of the present invention is more specifically described in detail below by way of concrete system configuration and step of tracing to the source, be not construed as limiting the invention, the displacement amendment that those skilled in the art carries out according to the present invention, and the application process of the expansion of present system is in scope of the present invention.
The configuration of automatic sampling module:
Be placed in the sampling container 12 in forvacuum chamber resettling 11, forvacuum cavity volume room 11 is connected with aspiration pump 14 pipeline by the first operation valve 13, forvacuum cavity volume room 11 pipeline is connected with pressure transducer 15, and sampling container 12 is connected with surrounding air by the second operation valve 16 pipeline; Pressure transducer 15 signal is connected to controller 17, and controller 17 connects the first operation valve 13, second operation valve 16, aspiration pump 14; When pressure transducer 15 perception vacuum tightness declines, controller 17 is opened air pump 14 and is opened the first operation valve 13 and vacuumizes, and keeps the vacuum tightness of forvacuum air chamber; When receiving sampling instruction, the second operation valve 16 opened by controller 17, and surrounding air enters sampler bag; When sampling complete, controller 17 cuts out the second operation valve 16, arranges the complete state of sampling to data transmission module 2(Fig. 2).
When normality is in standby, the first operation valve 13 and the second operation valve 16 are in closed condition.When controller 17 declines according to pressure transducer 15 signal perception vacuum tightness, send and start aspiration pump 14, open the first operation valve 13, improve the vacuum tightness of forvacuum chamber resettling 11, when pressure transducer 5 signal perception vacuum tightness reaches predetermined value, send closedown first operation valve 13, stop the signal of aspiration pump 14; When controller 17 receives the automatic sampled signal from data transmission module 2, send and open the second operation valve 16, surrounding air enters sampling container 12, sends closedown second operation valve 16 signal afterwards, sends the complete signal of sampling to data transmission module 2.
When adopting sampling Soviet Union agate tank 2, the sampling Soviet Union agate tank 12 of forvacuum, is connected with air pump 14 through the first operation valve 13 by pipeline, is connected through operation valve 15 with pressure transducer, be connected through operation valve 16 with surrounding air; Pressure transducer 15 signal is connected to controller 17, and controller 17 connects the first operation valve 13, second operation valve 16, aspiration pump 14; When pressure transducer 15 perception vacuum tightness declines, controller 17 is opened air pump 14 and is opened the first operation valve 13 and vacuumizes, and keeps the vacuum tightness of sampling Soviet Union agate tank 12; When receiving sampling instruction, the second operation valve 16 opened by controller 17, and surrounding air enters sampling Soviet Union agate tank 12; When sampling complete, controller 17 cuts out the second operation valve 16, arranges the complete state of sampling to data transmission module 2(Fig. 4).
When pressure transducer 15 perception vacuum tightness declines, controller 17 is opened air pump 14 and is opened the first operation valve 13 and vacuumizes, and keeps the vacuum tightness of forvacuum air chamber; When receiving sampling instruction, the second operation valve 16 opened by controller 17, and surrounding air enters sampler bag; When sampling complete, controller 17 cuts out the second operation valve 16, arranges the complete state of sampling to data transmission module 2.
Conveniently, the connection of sampler bag and gas circuit adopts and removably connects.The general web member that can keep not leaking.
As required, sampling unit can arrange more than 1 or 1, generally arranges 1-4 as well, and practical is that 1-3 the sampling unit namely repeating to arrange parallel connection is in automatic sampling module 1 (Fig. 5, Fig. 7).
Concrete components and parts are configured to
Sampler bag 12: paper tinsel composite membrane gas sampling bag, E-switch board, 2L;
Vacuum chamber resettling is self-control, according to sampler bag specification can place sampler bag can the chamber that vacuumizes of folding, be provided with the interface be connected with pipeline for sampler bag and the pipeline be connected with pump and pressure transducer.
Operation valve 13, operation valve 16:SMC type vacuum solenoid VT307,24VDC, Ya De visitor
Pressure transducer 15: micro electric minor vacuum pressure switch, Taiwan KITA, KP102-R6
Controller 17: SIEMENS PLC, S7-200
On-line continuous atmosphere quality automatic monitor system:
Be made up of multiple monitoring base station 20 and data processing centre (DPC) 5;
The monitoring base station of system is formed:
Sensor assembly 3 is provided with, weather monitoring module 4, automatic sampling module 1 and data transmission module 2 in each monitoring base station 20;
Sensor assembly 3 is formed primarily of electric nasus system, and electric nasus system adopts the RQBOX of French ALPHAM.O.S company, mainly contains gas sensor array, Signal Pretreatment and simulation pre-service and pattern-recognition three part composition.This Electronic Nose is by carrying out the olfactory system of simulating human to the monitoring of one or more odoring substances.Debate instrument carry out matching domestication by smelling the person of debating and smelling, can direct delivery air peculiar smell level read.
Weather monitoring module 4 adopts German LUFFTWS600 integral type weather station (http://www.instrument.com.cn/netshow/SH101632/C123396.htm), can measure aerial temperature and humidity, air pressure, wind speed and direction and precipitation guide line.Relative humidity of atomsphere is measured by capacitance type sensor; Utilize a NTC module mensuration atmospheric temperature accurately; Ultrasonic wave principle is utilized to carry out mensuration wind speed and direction; The dropleting speed utilizing the radar Doppler of 24GHz to measure each rain/snow to drip, thus calculates the precipitation guide line such as precipitation intensity, type of precipitation and quantity of precipitation.All index integration are in a sensor, non-maintaining.
Monitoring Data is transferred to data transmission module 2 through RS485 by sensor assembly 3 and weather monitoring module 4, and data transmission module 2 packing is uploaded to data processing centre (DPC) 5.
Data transmission module 2 adopts the high precision module of 16, and often organizing data is all within 30 seconds, being that a unit carries out scene storage, and data of uploading onto the server for every 1 minute.Data transmission adopts the 3G communication technology by the data upload that gathers to the server of data center, and accepts instruction from data processing centre (DPC) 5, operates, carry out field data analysis to base station equipment.3G technology refers to the cellular mobile telecommunications technology supporting high speed data transfer.3G service can transmit sound and data message simultaneously, and speed is generally at more than hundreds of kbps.
Data transmission module 2 controls automatic sampling module 1 according to Three models and samples.1. pre-set threshold value, if sensor assembly 3 values exceed threshold value; 2. sensor assembly 3 the data obtained is analyzed via SQC statistical quality, if data are not in normal range, then send sampled signal; 3., after receiving the sampled signal that data center 5 sends, send sampled signal to automatic sampling module 1.
After gridding monitoring system layout completes, all data transfer to data processing centre (DPC) 5 via 3G, and all data store by data processing centre (DPC) 5, analyze and issue, and provide response suggestion according to analysis result.
Data processing centre (DPC) 5, by obtained Monitoring Data, uses diffusion model software, simulating pollution gas and stench spread condition.Pollute occur time, by diffusion model software counter trace back to pollute may originate and the contribution degree of each point, and to be sampled by the automatic sampling module 1 that data center 5 sends pollution source that sampled signal to distance extrapolates nearest.
Diffusion model software application France Plum ' AIRDispersionmodelling software, this software is based on Lagrangian model, according to the meteorology uploaded (wind speed, wind direction, humidity, air pressure, temperature, rainfall, solar radiation), source of the gas position and intensity and geographic factor, the spread condition of simulation different chemical gas and stench, provide distribution, and be expressed as distribution plan, distributing by certain hour interval calculation and superposing forms dispersion ability distribution plan.
Automatic sampling module 1 sample thief, quick gas phase Electronic Nose is utilized to analyze, with the stench fingerprint that the monolithic chromatogram figure of each sample is respective, according to the similarity of the stench fingerprint of principal component analysis (PCA) (PCA) and each pollution source sample of Assessing parameters analysis (DFA) comparison and neighboring area, to carry out Source Tracing, as Figure 11.
Quick gas phase Electronic Nose uses the HERACLE of French ALPHAM.O.S company, can carry out the judgement monitoring of volatility, semi-volatile organic matter monitoring, pollutant emission, pollution source in volatility in the quick emergency monitoring of toxic and harmful, water, semi-volatile organic matter monitoring, soil, Work places safety monitoring and analysis, stench monitoring and analyze.
1) powerful Electronic Nose easy to use, has unique multi-functional characteristic
2) two two FID monitors of parallel opposed polarity metal capillary chromatography column twin columns
3) built-in cold-trap-can pre-concentration/desorption
Can obtain:
1) the characteristic description-Electronic Nose function that smell explosion views are relevant to sense organ
2) separation of compound, qualification and quantitative-fast chromatographic analyzer function is carried out according to gas chromatography principle.
Do not lose the express-analysis of resolution
1. high-speed temperature programmed: reach 600 DEG C/min;
2. analytical cycle is short: 5min
High sensitivity
Semiconductor refrigerating adsorption trap: can realize pre-concentration desorption analysis, increases the sensitivity (pg) of high volatile volatile sample
Good reappearance
1. retention time RSD<0.3%;
2. peak area RSD<3%
The software that friendly interface & is powerful
(1) function of easy uniqueness
1. multivariate statistics software package: easy data analysis
2. many kinds of spectrum elucidation instruments: Total Product local flavor contrasts
(2) individuation data handling implement
1. qualutative model: product quality, the place of production, supplier, batch between contrast
2. Quality Control model: homogeneity of product analysis
3. quantitative model: the prediction of local flavor/stench intensity, compound concentration
(3) good reappearance
1. retention time RSD<0.3%
2. peak area RSD<3%
Arochembase:Kovats retention index data bank
1. comprise the compound identification of organoleptic attribute;
2. divided into groups by application or compound characteristics;
3. more than 230000 entries, 44000 kinds of compounds;
4. comprise NIST database;
Spec characteristic
(1) sample introduction Mode A MP.AMp.Amp sampling method
1. liquid A MP.AMp.Amp headspace sampling pattern (SPME/SPDE/ITEX);
2. manual & auto injection;
3. can choose internal pump, by direct sample in sampler bag or air, built-in adsorption trap, temperature regulating range (0-260 DEG C)
(2) chromatographic column & furnace temperature
1.2 metal capillary posts (10m-0.18mm);
2. carrier gas: hydrogen or helium
3. operating temperature: 35 DEG C-300 DEG C
4. high-speed heating speed: 600 DEG C/min can be reached, 10 DEG C/s
(3) the two flame ion of monitor
1. monitor (FID), the automatic FID igniting of software control;
2. operating temperature: 300 DEG C can be reached
3.FID sensitivity: 10-9to10-12A/mV;
4.FID range of linearity >108
5. monitoring frequency: 100Hz
(4) characteristic
1.15min interior startup;
2. retention time RSD<0.3%, peak area RSD<3%;
3. monitoring limit nC12<100pg;
4. analytical cycle: 5min;
(5) safeguard
1. software overall monitor (FID lights a fire, pressure, flow set, and heating schedule sets)
2. daily servicing (replacing of sample introduction pad)
(6) essential characteristic
1. dimensions: 230x320x440mm (LxHxP)
2. weight: 16kg
3. voltage: 100/115/230VAC
4. computer connects: USB
5. operating conditions: temperature 0 DEG C-30 DEG C, humidity 0-90%
6. storage condition :-20 DEG C-60 DEG C
(7) software
1. perfect data processing software: chromatogram, fingerprint image (radar map, Quality Control figure, principal component analysis (PCA) figure, Assessing parameters analysis chart, soft Independent modeling analysis chart);
2. multilingual interface: Chinese, English, French, Spanish, German, Japanese, Korean.

Claims (10)

1. an on-line continuous auto-monitor of surrounding air quality base station, comprises with lower module:
Automatic sampling module (1), is set to connect the data transmission module (2) and carries out sampling action according to data transmission module (2) instruction;
Data transmission module (2), there is multiple data exchange interface, be set to exchange data and instruction with external communication, connecting sensor module (3), accept sensor assembly (3) signal, connect weather monitoring module (4), accept weather monitoring module (4) information, the automatic sampling module of instruction (1);
Sensor assembly (3), this module includes sensor group air smell component being had to response, is set to be connected with data transmission module (2), data transmission module (2) read sensor module (3) data;
Weather monitoring module (4), is set to monitor this local, region, base station weather information.
2. an on-line continuous auto-monitor of surrounding air quality base station according to claim 1, wherein sampling module (1) is automatically:
Be placed in the sampling container (12) in chamber resettling (11), chamber resettling (11) is connected with aspiration pump (14) pipeline by the first operation valve (13), chamber resettling (11) pipeline is connected with pressure transducer (15), and sampling container (12) is by the second operation valve (16) pipeline JA(junction ambient) air; Pressure transducer (15) signal is connected to controller (17), and controller (17) connects the first operation valve (13), the second operation valve (16), aspiration pump (14);
Run as follows:
When the vacuum tightness of pressure transducer (15) perception chamber resettling (11) declines, air pump (14) opened by controller (17) and the first operation valve (13) vacuumizes, and keeps the vacuum tightness of chamber resettling (11); When receiving sampling instruction, the second operation valve (16) opened by controller (17), and surrounding air enters sampler bag; When sampling complete, controller (17) cuts out the second operation valve (16), arranges the complete state of sampling to data transmission module (2);
Or run as follows:
When receiving sampling instruction, air pump (14) opened by controller (17) and the first operation valve (13) carries out vacuumizing chamber resettling (11), opens the second operation valve (16), surrounding air enters sampler bag; When sampling complete, controller (17) cuts out the second operation valve (16), air pump (14) and the first operation valve (13), arranges the complete state of sampling to data transmission module (2);
Or wherein sampling module (1) is automatically:
Sampling Soviet Union's agate tank (12) of forvacuum, is connected with air pump (14) through the first operation valve (13) by pipeline, is connected through operation valve (15) with pressure transducer, be connected through operation valve (16) with surrounding air; Pressure transducer (15) signal is connected to controller (17), and controller (17) connects the first operation valve (13), the second operation valve (16), aspiration pump (14);
Run as follows:
When pressure transducer (15) perception Soviet Union agate tank (12) vacuum tightness declines, controller (17) is opened air pump (14) and is opened the first operation valve (13) and vacuumizes, and keeps the vacuum tightness of sampling Soviet Union's agate tank (12); When receiving sampling instruction, the second operation valve (16) opened by controller (17), and surrounding air enters sampling Soviet Union's agate tank (12); When sampling complete, controller (17) cuts out the second operation valve (16), arranges the complete state of sampling to data transmission module (2).
3. an on-line continuous auto-monitor of surrounding air quality base station according to claim 1, wherein sensor assembly (3) be selected from comprise for monitoring TVOC concentration TVOC sensor, for monitoring H 2the H of S concentration 2sensor and for monitoring NH 3the NH of concentration 3sensor, for monitoring one or more combination of the Electronic Nose of air peculiar smell.
4. an on-line continuous auto-monitor of surrounding air quality base station according to claim 1, weather monitoring module (4) wherein comprises the sensor composition of monitoring air themperature, humidity, air pressure, wind speed, wind direction, is set to local, monitoring base station region weather data.
5. an on-line continuous auto-monitor of surrounding air quality network system, arbitrary on-line continuous auto-monitor of surrounding air quality base station (20) of the multiple Claims 1-4 arranged by data processing centre (DPC) (5), the gridding of source, face forms.
6. an on-line continuous auto-monitor of surrounding air quality network system according to claim 5, wherein,
Described source gridding is set to arrange multiple monitoring base station (20) in monitored space segmentation or encirclement occurring source and arrange at least 1 monitoring base station (20) in protected location form network; described monitoring base station (20) connects described data processing centre (DPC) (5) by data transmission module (2) network of monitoring base station; described data processing centre (DPC) (5) comprises server, is provided with in server:
Database module, is set to record the sensing data, weather data, the automatic sampling module data that comprise each base station and send, records terrain data, each base station geographic position data;
Air plllutant model module, by certain hour interval, calculates air gas with foreign flavor CONCENTRATION DISTRIBUTION according to weather data, sensing data, each base station geographic position data, terrain data;
Operational order module, comprise according to base station data, air quality distributed data, instruct base stations is sampled automatically.
7., based on an air peculiar smell source tracing method for the on-line continuous auto-monitor of surrounding air quality network system of claim 5, it is characterized by:
When at least 1, the protected location automatic sample event of site base station triggers, gather protected location gaseous sample, and after sample event information is uploaded to data processing centre (DPC) (5);
Data processing centre (DPC) (5) calculates air gas with foreign flavor CONCENTRATION DISTRIBUTION according to weather data, sensing data, each base station geographic position data, terrain data, calculate occurring source scope (a) that may have an impact to protected location accordingly, instruction of automatically sampling is sent to occurring source scope (a) Intranet point base stations (20); Send and carry out the instruction of quick gas phase Electronic Nose analysis task;
The fingerprint analysis that quick gas phase Electronic Nose completes sample characterizes; The sample finger-print of protected location and each sample finger-print of monitored space are compared by quick gas phase Electronic Nose fingerprint comparison software, calculate the similarity of monitored space each sample and protected location sample;
According to similarity, determine occurring source position.
8. an air peculiar smell source tracing method for on-line continuous auto-monitor of surrounding air quality network system according to claim 7, is wherein provided with the different gas chromatographic column of two kinds of polarity in quick gas phase Electronic Nose; Described finger-print is after gaseous sample enters described quick gas phase Electronic Nose; the two kinds of chromatograms provided; described fingerprint comparison comprises and carries out principal component analysis (PCA) (PCA), Assessing parameters analysis (DFA) to gas fingerprint; provide the fingerprint similarity of the gaseous sample of base station, protected location gaseous sample and monitored space base station, carry out Source Tracing.
9. the air peculiar smell source tracing method according to arbitrary on-line continuous auto-monitor of surrounding air quality network system of claim 7 or 8; when there is the finger-print of monitored space air peculiar smell occurring source; also base station, protected location sample fingerprint chromatogram and occurring source finger-print are compared simultaneously, provide fingerprint similarity.
10. the air peculiar smell source tracing method of an on-line continuous auto-monitor of surrounding air quality network system according to claim 9, described air peculiar smell occurring source fingerprint, by directly obtaining at the acquisition of air peculiar smell occurring source sample analysis, monitoring analysis data accumulation.
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Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN200986501Y (en) * 2006-12-19 2007-12-05 夏自强 Portable gas vacuum sampling instrument capable of switching flow direction
CN101629879A (en) * 2009-06-30 2010-01-20 青岛崂山应用技术研究所 Cabin type gas sampler
CN101730284A (en) * 2009-11-26 2010-06-09 杭州电子科技大学 Air quality monitoring equipment based on sensor network
CN201611521U (en) * 2010-03-09 2010-10-20 青岛崂山应用技术研究所 Remote control gas sampler and remote control sampling system applying the same
CN202261821U (en) * 2011-11-02 2012-05-30 肇庆软件国际化中心有限公司 Wireless sensor network system used for agricultural environment monitoring
CN102833117A (en) * 2012-09-10 2012-12-19 山东省计算中心 Data center dynamic environment monitoring system and method on basis of IOT (Internet Of Things) technology
CN102928562A (en) * 2012-11-06 2013-02-13 天津市环境保护科学研究院 Early warning and monitoring device and monitoring method of mobile stench pollution
CN103487593A (en) * 2013-09-18 2014-01-01 中国科学院微电子研究所 Gas analysis device and method
CN104316365A (en) * 2014-11-24 2015-01-28 北京市环境保护科学研究院 Device for synchronously collecting VOCs and OVOCs in exhaust gases of catering industry
CN204188565U (en) * 2014-11-17 2015-03-04 肖洋 The watch-dog of organic contamination substrate concentration in on-line checkingi waste gas of pollutant
CN204667597U (en) * 2015-03-23 2015-09-23 上海宁和环境科技发展有限公司 The double mode air peculiar smell of feature based pollutant and Electronic Nose monitor and early warning system
CN205449908U (en) * 2015-12-28 2016-08-10 周俊杰 Online ambient air quality automatic monitoring basic station and network system in succession

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN200986501Y (en) * 2006-12-19 2007-12-05 夏自强 Portable gas vacuum sampling instrument capable of switching flow direction
CN101629879A (en) * 2009-06-30 2010-01-20 青岛崂山应用技术研究所 Cabin type gas sampler
CN101730284A (en) * 2009-11-26 2010-06-09 杭州电子科技大学 Air quality monitoring equipment based on sensor network
CN201611521U (en) * 2010-03-09 2010-10-20 青岛崂山应用技术研究所 Remote control gas sampler and remote control sampling system applying the same
CN202261821U (en) * 2011-11-02 2012-05-30 肇庆软件国际化中心有限公司 Wireless sensor network system used for agricultural environment monitoring
CN102833117A (en) * 2012-09-10 2012-12-19 山东省计算中心 Data center dynamic environment monitoring system and method on basis of IOT (Internet Of Things) technology
CN102928562A (en) * 2012-11-06 2013-02-13 天津市环境保护科学研究院 Early warning and monitoring device and monitoring method of mobile stench pollution
CN103487593A (en) * 2013-09-18 2014-01-01 中国科学院微电子研究所 Gas analysis device and method
CN204188565U (en) * 2014-11-17 2015-03-04 肖洋 The watch-dog of organic contamination substrate concentration in on-line checkingi waste gas of pollutant
CN104316365A (en) * 2014-11-24 2015-01-28 北京市环境保护科学研究院 Device for synchronously collecting VOCs and OVOCs in exhaust gases of catering industry
CN204667597U (en) * 2015-03-23 2015-09-23 上海宁和环境科技发展有限公司 The double mode air peculiar smell of feature based pollutant and Electronic Nose monitor and early warning system
CN205449908U (en) * 2015-12-28 2016-08-10 周俊杰 Online ambient air quality automatic monitoring basic station and network system in succession

Cited By (38)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106290207A (en) * 2016-07-21 2017-01-04 青岛博睿光电科技有限公司 The foul gas of a kind of open path formula monitors apparatus and method of tracing to the source
CN106404616B (en) * 2016-08-31 2018-12-25 孙扬 A kind of method of airborne fine particulate matter (PM2.5) discharge source resolution positioning
CN106404616A (en) * 2016-08-31 2017-02-15 孙扬 Atmospheric fine PM2.5 (particulate matter 2.5) emission source analytical positioning method
CN106383205A (en) * 2016-10-13 2017-02-08 北京伟瑞迪科技有限公司 VOCs (Volatile Organic Compounds) region on-line monitoring and early warning system
CN106501450A (en) * 2016-10-18 2017-03-15 上海磐合科学仪器股份有限公司 Vehicle-mounted atmosphere environment supervision method and system
CN106501450B (en) * 2016-10-18 2018-07-20 上海磐合科学仪器股份有限公司 Vehicle-mounted atmosphere environment supervision method and system
CN106841436A (en) * 2017-01-18 2017-06-13 上海市环境监测中心 A kind of automatic monitoring and warning traceability systems of Industrial Area Atmospheric VOCs and its method
CN109580800A (en) * 2017-09-29 2019-04-05 上海宝钢工业技术服务有限公司 The measuring method of organic sulfur compound ingredient in air
CN107831699A (en) * 2017-11-17 2018-03-23 广州矽创信息科技有限公司 A kind of intelligent data acquisition analysis method and system
CN108036976A (en) * 2017-12-25 2018-05-15 广州禾信仪器股份有限公司 Atmosphere pollution monitors sample-leaving system automatically
CN108829642A (en) * 2018-04-24 2018-11-16 中国环境科学研究院 A method of utilizing feature radar map analysis environmental quality data
CN108829642B (en) * 2018-04-24 2022-11-22 中国环境科学研究院 Method for analyzing environmental quality data by using characteristic radar map
CN108982704A (en) * 2018-08-28 2018-12-11 绍兴市质量技术监督检测院 A kind of method of Intelligent detecting industrial waste gas pollution sources
CN110620804A (en) * 2018-12-25 2019-12-27 中国环境监测总站 Environment monitoring system and method thereof
CN110086580B (en) * 2019-04-29 2021-09-14 河南科技学院 Environment-friendly monitoring method and device based on artificial intelligence
CN110086580A (en) * 2019-04-29 2019-08-02 河南科技学院 A kind of environment monitoring method and device based on artificial intelligence
CN110187055A (en) * 2019-05-09 2019-08-30 河北先河环保科技股份有限公司 A kind of factory's circle type monitor between different malodor source producers
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CN110043320B (en) * 2019-05-28 2020-06-12 中电建路桥集团有限公司 Tunnel construction environment monitoring method
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