CN108645971A - A kind of air peculiar smell strength grade detection method based on electronic nose - Google Patents
A kind of air peculiar smell strength grade detection method based on electronic nose Download PDFInfo
- Publication number
- CN108645971A CN108645971A CN201810449029.6A CN201810449029A CN108645971A CN 108645971 A CN108645971 A CN 108645971A CN 201810449029 A CN201810449029 A CN 201810449029A CN 108645971 A CN108645971 A CN 108645971A
- Authority
- CN
- China
- Prior art keywords
- foreign flavor
- gas
- electronic nose
- strength grade
- kinds
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 36
- 239000000796 flavoring agent Substances 0.000 claims abstract description 60
- 235000019634 flavors Nutrition 0.000 claims abstract description 60
- 238000012360 testing method Methods 0.000 claims abstract description 18
- 238000011156 evaluation Methods 0.000 claims abstract description 11
- 239000007789 gas Substances 0.000 claims description 66
- 230000004044 response Effects 0.000 claims description 32
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 20
- LSDPWZHWYPCBBB-UHFFFAOYSA-N Methanethiol Chemical compound SC LSDPWZHWYPCBBB-UHFFFAOYSA-N 0.000 claims description 19
- GETQZCLCWQTVFV-UHFFFAOYSA-N trimethylamine Chemical compound CN(C)C GETQZCLCWQTVFV-UHFFFAOYSA-N 0.000 claims description 18
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 claims description 10
- 229910021529 ammonia Inorganic materials 0.000 claims description 10
- 229910000037 hydrogen sulfide Inorganic materials 0.000 claims description 10
- QGJOPFRUJISHPQ-NJFSPNSNSA-N carbon disulfide-14c Chemical compound S=[14C]=S QGJOPFRUJISHPQ-NJFSPNSNSA-N 0.000 claims description 7
- 238000003556 assay Methods 0.000 claims description 3
- 229910044991 metal oxide Inorganic materials 0.000 claims description 3
- 150000004706 metal oxides Chemical class 0.000 claims description 3
- 238000000034 method Methods 0.000 abstract description 10
- 238000012216 screening Methods 0.000 abstract description 3
- 238000005259 measurement Methods 0.000 abstract description 2
- 210000000697 sensory organ Anatomy 0.000 abstract 2
- 230000000392 somatic effect Effects 0.000 abstract 1
- 238000007619 statistical method Methods 0.000 abstract 1
- 210000001331 nose Anatomy 0.000 description 29
- QGJOPFRUJISHPQ-UHFFFAOYSA-N Carbon disulfide Chemical compound S=C=S QGJOPFRUJISHPQ-UHFFFAOYSA-N 0.000 description 9
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000006467 substitution reaction Methods 0.000 description 3
- 241001062472 Stokellia anisodon Species 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000003909 pattern recognition Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 210000002345 respiratory system Anatomy 0.000 description 2
- 230000001953 sensory effect Effects 0.000 description 2
- 230000008786 sensory perception of smell Effects 0.000 description 2
- 206010002653 Anosmia Diseases 0.000 description 1
- 208000019901 Anxiety disease Diseases 0.000 description 1
- 238000012271 agricultural production Methods 0.000 description 1
- 150000001412 amines Chemical class 0.000 description 1
- 235000019558 anosmia Nutrition 0.000 description 1
- 230000036506 anxiety Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 210000004027 cell Anatomy 0.000 description 1
- 238000003889 chemical engineering Methods 0.000 description 1
- 238000012258 culturing Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 210000002249 digestive system Anatomy 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 239000003673 groundwater Substances 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 210000003928 nasal cavity Anatomy 0.000 description 1
- 210000000653 nervous system Anatomy 0.000 description 1
- 230000001537 neural effect Effects 0.000 description 1
- 210000001517 olfactory receptor neuron Anatomy 0.000 description 1
- 108091008707 osmoreceptors Proteins 0.000 description 1
- 230000000149 penetrating effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000241 respiratory effect Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000010865 sewage Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- 230000000638 stimulation Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0001—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00 by organoleptic means
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/004—CO or CO2
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0044—Sulphides, e.g. H2S
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0047—Organic compounds
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—General constructional details of gas analysers, e.g. portable test equipment concerning the detector specially adapted to detect a particular component
- G01N33/0054—Ammonia
Landscapes
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Combustion & Propulsion (AREA)
- Investigating Or Analyzing Materials By The Use Of Fluid Adsorption Or Reactions (AREA)
Abstract
The air peculiar smell strength grade detection method based on electronic nose that the invention discloses a kind of.This method includes：(1) the sense organ strength grade standard of standard gas with foreign flavor is established；(2) gas with foreign flavor normal intensity level estimate sample preparation；(3) electronic nose detects the substandard gas with foreign flavor of sense organ strength grade, and the screening of electronic nose sensor and standard curve are established；(4) electronic nose detects air sample；(5) to testing result statistical analysis, testing result is obtained.Compared with the prior art, this method carries out air peculiar smell measurement using electronic nose, distinguish that staff is chronically exposed to somatic damage present in odor air in addition to can effectively reduce to smell, it can also effectively reduce to smell and distinguish staff since the fluctuation of own bodies situation is for the fluctuation of air peculiar smell intensity evaluation, to increase substantially the accuracy of evaluation detection.Further, this method also has many advantages, such as that sample detection speed is fast, easy to operate.
Description
Technical field
The air peculiar smell strength grade detection method based on electronic nose that the present invention relates to a kind of.
Background technology
In recent years, as China's industrialization degree is constantly promoted, economy is rapidly developed, but the therefore air of generation
Problem also gradually highlights.There is much the source of gas with foreign flavor, mostly come from and generate in mankind's daily life in air
A large amount of house refuses, including the peculiar smell thing. that generates of agricultural production, livestock culturing process and discharge in industrial processes
All kinds of rubbish and exhaust gas, especially chemical engineering industry, pollution sources include not only direct emission, also sewage waste disposal problem, and
To the indirect pollution of soil and groundwater etc..The type of peculiar smell smell is various, and wherein larger to human health risk main
There are ammonia, carbon disulfide, hydrogen sulfide, methyl mercaptan and trimethylamine.Since air smell component is extremely complex, and property is unstable,
At present to the measurement of peculiar smell there are certain difficulty, and sensory evaluation method be the evaluation method that generally uses in the world at present it
One, i.e., smelling air sample is removed to judge air peculiar smell strength grade to detect by smelling the person of distinguishing.
However, this had the following disadvantages by smelling the person's of distinguishing detection method：(1) person of distinguishing is smelt due to own bodies situation wave
It is dynamic, fluctuation also will produce for air peculiar smell intensity evaluation in different time, to which detection knot can be influenced to a certain extent
The accuracy of fruit.(2) person of distinguishing is smelt to be in the air of penetrating odor for a long time, nervous system can always anxiety cause cortex without
Method works, to cause the disorderly even anosmia of olfactory neural system；For human body after the stimulation by peculiar smell, brain can be automatic right
Respiratory system is adjusted to reduce respiratory capacity, has a greatly damage even loss of function and dead to respiratory system；Part peculiar smell
Vision system or skin surface are damaged at branch, when peculiar smell is dense, to human body cardio-cerebrovascular, blood
Fluid circulation, digestive system, internal system etc. can all have negative effect.Therefore, sensory evaluation is for smelling the body of the person of distinguishing
There are some potential safety problemss for health.(3) smelling the consuming of the person's of distinguishing detection air peculiar smell intensity needs, largely smelling the person of distinguishing (needs 6 people
More than) and detection time (for 2-3 hours), therefore cost is higher, and be difficult to widely available.
Electronic nose be it is a kind of inspired in recent years by Biologic Olfaction, by sensor array system and algorithm for pattern recognition come
Realize simulation Biologic Olfaction function, a kind of rapid detection apparatus that the smell to reach partly or completely substitution people acts on.
Electronic nose is broadly divided into four parts：Sampling system, sensor array system, signal acquiring processing system and pattern-recognition system
System, and this four parts are then corresponded with the nasal cavity of human body, osmoreceptor cell, Olfactory Receptor Neurons and brain.Currently,
Sample differentiation of the electronic nose in fields such as food industry, biologic medicals has expanded certain research and application, but in sky
The grade context of detection research of makings amount is not goed deep into application.
Invention content
In view of this, the purpose of the present invention is to provide a kind of safer, accurate and easy air peculiar smell intensity etc.
Grade detection method.This method is based on electronics nasal devices, using the evaluation result for smelling the person of distinguishing as standard database, screens suitable sensing
Device establishes corresponding standard curve, the final quick and safety detection for realizing air sample.
To achieve the above object, the present invention provides the following technical solutions：
A kind of air peculiar smell strength grade detection method based on electronic nose, including following steps：
Step 1: smelling the person of distinguishing using three-point assay method respectively to ammonia, carbon disulfide, hydrogen sulfide, methyl mercaptan and trimethylamine
Five kinds of standard gas with foreign flavor carry out strength grade evaluation, each standard gas with foreign flavor is divided into 0,1,2,3,4 by concentration from low to high
Amount to six strength grade standards with 5, and determines the strength grade table of five kinds of standard gas with foreign flavor with this；
Step 2: according to the strength grade standard obtained in step 1, ammonia, carbon disulfide, hydrogen sulfide, first are prepared respectively
Six normal intensity level estimate samples of mercaptan and trimethylamine；
Step 3: electronics nasal devices are opened, using all metal oxide sensors in electronic nose respectively to step 2
In obtained six normal intensity level estimate samples of five kinds of gas with foreign flavor be detected respectively, obtain five kinds of gas with foreign flavor
The response of six normal intensity level estimate samples；
Step 4: respectively with the corresponding a concentration of abscissa of six grade strengths of each gas with foreign flavor test sample, with step
Each the corresponding response of six grade strengths of gas with foreign flavor level estimate sample obtained in rapid three is ordinate, carries out curve
Fitting, then using the maximum sensor of curve matching related coefficient as each fixed detection sensor of standard gas with foreign flavor,
Resettle gas concentration-electronic nose response standard curve of each standard gas with foreign flavor fixed test sensor；
It is sensed Step 5: being detected as electronic nose using the five gas with foreign flavor fixed test sensors determined in step 4
Device opens electronics nasal devices, is detected to air sample, respectively obtains five detection sensors of electronic nose for air sample
In five kinds of standard gas with foreign flavor electronic nose response；
Step 6: obtained in step 5 five detection sensor responses are substituted into the gas obtained in step 4 respectively
Concentration-electronic nose response standard curve, calculates the concentration of five kinds of standard gas with foreign flavor in air, further according to calculating gained
The concentration value of five kinds of standard gas with foreign flavor checks the standard gas with foreign flavor strength grade table obtained in step 1, obtains air sample
In five kinds of standard gas with foreign flavor strength grade, a maximum strength grade is as the air using in five kinds of standard gas with foreign flavor
The peculiar smell strength grade of sample.
The present invention has the following advantages and beneficial effects：
Compared to existing technical method, method provided by the invention has the advantages that following notable and progress：
1, detection method of the invention based on smelling evaluation result of the person of distinguishing for standard gas with foreign flavor, and screens sensor
After establish corresponding standard curve, to which the detection of air sample can be realized, compared to smell the person of distinguishing detection, more stablize, knot
Fruit is more accurate.
2, detection method of the invention can be reduced effectively and smell the person of distinguishing and be chronically at due to being smart machine detection
Security risk present in odor air environment.
3, detection method of the invention, it is only necessary to which a staff operates, and detects the time of sample
5-10 minutes are only needed, personnel and time input are largely reduced, it is efficient and convenient, it is easy to spread.
Description of the drawings
Fig. 1 is concentration-electronic nose response standard curve of ammonia.
Fig. 2 is concentration-electronic nose response standard curve of carbon disulfide.
Fig. 3 is concentration-electronic nose response standard curve of hydrogen sulfide.
Fig. 4 is concentration-electronic nose response standard curve of methyl mercaptan.
Fig. 5 is concentration-electronic nose response standard curve of trimethylamine.
Specific embodiment
The air peculiar smell strength detection method based on electronic nose that the invention discloses a kind of, those skilled in the art can borrow
Reflect present disclosure, is suitably modified parameter realization.In particular, it should be pointed out that all similar substitutions and modifications are to art technology
It is it will be apparent that they are considered as being included in the present invention for personnel.The method of the invention is by preferably implementing
Example is described, related personnel obviously can not depart from the content of present invention, in spirit and scope to method described herein and
Using being modified or suitably changing and combine, to realize and apply the present invention.
Preferably to illustrate the present invention, illustrate below by embodiment, Examples 1 and 2 be respectively adopted in dustbin with
And the air sample of public restroom is as test object.
Embodiment 1：
Step 1: smelling the person of distinguishing using three-point assay method respectively to ammonia, carbon disulfide, hydrogen sulfide, methyl mercaptan and trimethylamine
Five kinds of standard gas with foreign flavor carry out strength grade evaluation, each standard gas with foreign flavor is divided into 0,1,2,3,4 by concentration from low to high
Amount to six strength grade standards with 5, is determined shown in the strength grade table table 1 of five kinds of standard gas with foreign flavor with this.
The strength grade table of 1 five kinds of standard gas with foreign flavor of table
Step 2: the strength grade standard obtained according to upper table, prepares ammonia, carbon disulfide, hydrogen sulfide, methyl mercaptan respectively
With six normal intensity level estimate samples of trimethylamine.
Step 3: electronics nasal devices are opened, using all metal oxide sensors in electronic nose respectively to step 2
In obtained six normal intensity level estimate samples of five kinds of gas with foreign flavor be detected respectively, obtain five kinds of gas with foreign flavor
The response of six normal intensity level estimate samples.
Step 4: respectively with the corresponding a concentration of abscissa of six grade strengths of each gas with foreign flavor test sample, with step
Each the corresponding response of six grade strengths of gas with foreign flavor level estimate sample obtained in rapid three is ordinate, carries out curve
Fitting, then using the maximum sensor of curve matching related coefficient as each fixed detection sensor of standard gas with foreign flavor,
Fixation sensor and the detection related coefficient for screening gained are as shown in table 2；It is established with the fixed test sensor determined in table 2
The concentration of each standard gas with foreign flavor-electronic nose response standard curve, curve graph is as shown in attached drawing 1 to 5, matched curve such as table
Shown in 3.
The fixation sensor sheet of 2 five kinds of standard gas with foreign flavor of table
The gas concentration of 3 five kinds of standard gas with foreign flavor fixed test sensors of table-electronic nose response standard curve table
| Gas with foreign flavor | Standard curve |
| Hydrogen sulfide | S1 sensor response Y=0.2097ln (concentration of hydrogen sulfide X)+2.2084 |
| Methyl mercaptan | S2 sensor responses Y=0.2194ln (methyl mercaptan concentration X)+3.6598 |
| Carbon disulfide | S4 sensor response Y=0.1798ln (Carbon Disulfide X)+1.7629 |
| Ammonia | S7 sensor response Y=0.1108ln (ammonia concentration X)+1.2494 |
| Trimethylamine | S8 sensor responses Y=0.2495ln (front three amine concentration X)+2.0662 |
Step 5: the electronic nose using S1, S2, S4, S7 and S8 sensor as air peculiar smell strength grade detects sensing
Device opens electronics nasal devices, respectively obtains five detection sensors of electronic nose for five kinds of standard gas with foreign flavor in air sample 1
Electronic nose response.
Step 6: by the five detection sensor responses of electronic nose obtained in step 5 substitution table 3 respectively, sky is calculated
The concentration of five kinds of standard gas with foreign flavor in gas is checked table 1 further according to the concentration value for five kinds of standard gas with foreign flavor for calculating gained, is obtained
To the strength grade of five kinds of standard gas with foreign flavor in air sample 1, testing result is as shown in table 4.
The testing result table of 4 air sample 1 of table
| Testing result | S1 | S2 | S4 | S7 | S8 |
| Response | 1.1509 | 1.1110 | 1.0406 | 1.2098 | 1.0168 |
| Concentration, ppm | 0.0065 | 9.008E-06 | 0.0180 | 0.6992 | 0.0149 |
| Peculiar smell intensity | 0.0289 | -0.2048 | 0.1233 | 1.6984 | 0.2290 |
| Rounding intensity | 0 | 0 | 0 | 1 | 0 |
Using in 4 five kinds of standard gas with foreign flavor of table a maximum strength grade as air sample 1 peculiar smell strength grade,
I.e. 1 grade.
Embodiment 2：
Due in embodiment 1 for standard gas with foreign flavor strength grade standard and sensor screening it has been determined that
The direct use of the present embodiment.
Step 1: the electronic nose using S1, S2, S4, S7 and S8 sensor as air peculiar smell strength grade detects sensing
Device opens electronics nasal devices, respectively obtains five detection sensors of electronic nose for five kinds of standard gas with foreign flavor in air sample 2
Electronic nose response.
Step 2: the five detection sensor responses of electronic nose obtained in step 1 to be substituted into the table of embodiment 1 respectively
3, the concentration of five kinds of standard gas with foreign flavor in air is calculated, further according to the concentration value for five kinds of standard gas with foreign flavor for calculating gained
The table 1 for checking embodiment 1, obtains the strength grade of five kinds of standard gas with foreign flavor in air sample 2, and testing result is as shown in table 5.
The testing result table of 5 air sample 2 of table
| Testing result | S1 | S2 | S4 | S7 | S8 |
| Response | 1.6789 | 1.1189 | 1.0203 | 1.0090 | 1.0174 |
| Concentration, ppm | 0.0800 | 9.343E-06 | 0.0161 | 0.1143 | 0.0149 |
| Peculiar smell intensity | 2.0714 | -0.1752 | 0.0318 | 0.2273 | 0.2312 |
| Rounding intensity | 2 | 0 | 0 | 0 | 0 |
Using in 5 five kinds of standard gas with foreign flavor of table a maximum strength grade as air sample 2 peculiar smell strength grade,
I.e. 2 grades.
The above is only only certain exemplary embodiments of this invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (1)
1. a kind of air peculiar smell strength grade detection method based on electronic nose, it is characterised in that including following steps：
Step 1: smelling the person of distinguishing using three-point assay method respectively to five kinds of ammonia, carbon disulfide, hydrogen sulfide, methyl mercaptan and trimethylamine
Standard gas with foreign flavor carries out strength grade evaluation, and it is total that each standard gas with foreign flavor is divided into 0,1,2,3,4 and 5 by concentration from low to high
Six strength grade standards are counted, and determine the strength grade table of five kinds of standard gas with foreign flavor with this；
Step 2: according to the strength grade standard obtained in step 1, ammonia, carbon disulfide, hydrogen sulfide, methyl mercaptan are prepared respectively
With six normal intensity level estimate samples of trimethylamine；
Step 3: electronics nasal devices are opened, using all metal oxide sensors in electronic nose respectively to being obtained in step 2
To six normal intensity level estimate samples of five kinds of gas with foreign flavor be detected respectively, obtain six of five kinds of gas with foreign flavor
The response of normal intensity level estimate sample；
Step 4: respectively with the corresponding a concentration of abscissa of six grade strengths of each gas with foreign flavor test sample, with step 3
In obtained each corresponding response of six grade strengths of gas with foreign flavor level estimate sample be ordinate, it is quasi- to carry out curve
It closes, then using the maximum sensor of curve matching related coefficient as each fixed detection sensor of standard gas with foreign flavor, then
Establish gas concentration-electronic nose response standard curve of each standard gas with foreign flavor fixed test sensor；
Step 5: using the five gas with foreign flavor fixed test sensors determined in step 4 as electronic nose detection sensor,
Electronics nasal devices are opened, air sample is detected, respectively obtains five detection sensors of electronic nose in air sample
The electronic nose response of five kinds of standard gas with foreign flavor；
Step 6: the five detection sensor responses of electronic nose obtained in step 5 are substituted into the gas obtained in step 4 respectively
Bulk concentration-electronic nose response standard curve, calculates the concentration of five kinds of standard gas with foreign flavor in air, obtained by calculating
The concentration values of five kinds of standard gas with foreign flavor check the standard gas with foreign flavor strength grade table obtained in step 1, obtain air sample
The strength grade of five kinds of standard gas with foreign flavor in product, a maximum strength grade is as the sky using in five kinds of standard gas with foreign flavor
The peculiar smell strength grade of gas sample product.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810449029.6A CN108645971A (en) | 2018-05-11 | 2018-05-11 | A kind of air peculiar smell strength grade detection method based on electronic nose |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810449029.6A CN108645971A (en) | 2018-05-11 | 2018-05-11 | A kind of air peculiar smell strength grade detection method based on electronic nose |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108645971A true CN108645971A (en) | 2018-10-12 |
Family
ID=63754783
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810449029.6A Pending CN108645971A (en) | 2018-05-11 | 2018-05-11 | A kind of air peculiar smell strength grade detection method based on electronic nose |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108645971A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109752495A (en) * | 2019-03-20 | 2019-05-14 | 广州质量监督检测研究院 | The detection method of wood furniture smell |
| CN111426801A (en) * | 2020-05-09 | 2020-07-17 | 上海宁和环境科技发展有限公司 | Electronic nose learning and domesticating method and equipment thereof |
| CN112986493A (en) * | 2019-12-18 | 2021-06-18 | 青岛海尔智能技术研发有限公司 | Peculiar smell intensity detection model generation method, peculiar smell intensity detection method and refrigerator |
| CN112986494A (en) * | 2019-12-18 | 2021-06-18 | 青岛海尔智能技术研发有限公司 | Peculiar smell intensity detection model generation system, peculiar smell intensity detection device and refrigerator |
| CN113340943A (en) * | 2021-06-02 | 2021-09-03 | 舟山市自来水有限公司 | Method for analyzing odor type and odor intensity in water body based on fingerprint spectrum |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6411905B1 (en) * | 2000-07-18 | 2002-06-25 | The Governors Of The University Of Alberta | Method and apparatus for estimating odor concentration using an electronic nose |
| EP1566633A1 (en) * | 2004-02-23 | 2005-08-24 | Alpha M.O.S. | Measuring the intensity of odours |
| CN103196830A (en) * | 2013-03-26 | 2013-07-10 | 北京拓扑智鑫科技有限公司 | Quantitative monitoring method for environmental odor pollution |
| CN105486812A (en) * | 2015-12-28 | 2016-04-13 | 周俊杰 | Electronic nose stink grade assignment method in continuous environment air quality monitoring process and application |
| CN106501470A (en) * | 2016-11-23 | 2017-03-15 | 广东嘉豪食品有限公司 | Using gustatory system and the method for Electronic Nose association evaluation mustard chilli sauce local flavor grade |
| US20170343521A1 (en) * | 2016-05-26 | 2017-11-30 | Electronics And Telecommunications Research Institute | Apparatus and method for generating olfactory information |
-
2018
- 2018-05-11 CN CN201810449029.6A patent/CN108645971A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6411905B1 (en) * | 2000-07-18 | 2002-06-25 | The Governors Of The University Of Alberta | Method and apparatus for estimating odor concentration using an electronic nose |
| EP1566633A1 (en) * | 2004-02-23 | 2005-08-24 | Alpha M.O.S. | Measuring the intensity of odours |
| US20050208673A1 (en) * | 2004-02-23 | 2005-09-22 | Said Labreche | Measuring the intensity of odours |
| CN103196830A (en) * | 2013-03-26 | 2013-07-10 | 北京拓扑智鑫科技有限公司 | Quantitative monitoring method for environmental odor pollution |
| CN105486812A (en) * | 2015-12-28 | 2016-04-13 | 周俊杰 | Electronic nose stink grade assignment method in continuous environment air quality monitoring process and application |
| US20170343521A1 (en) * | 2016-05-26 | 2017-11-30 | Electronics And Telecommunications Research Institute | Apparatus and method for generating olfactory information |
| CN106501470A (en) * | 2016-11-23 | 2017-03-15 | 广东嘉豪食品有限公司 | Using gustatory system and the method for Electronic Nose association evaluation mustard chilli sauce local flavor grade |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109752495A (en) * | 2019-03-20 | 2019-05-14 | 广州质量监督检测研究院 | The detection method of wood furniture smell |
| CN112986493A (en) * | 2019-12-18 | 2021-06-18 | 青岛海尔智能技术研发有限公司 | Peculiar smell intensity detection model generation method, peculiar smell intensity detection method and refrigerator |
| CN112986494A (en) * | 2019-12-18 | 2021-06-18 | 青岛海尔智能技术研发有限公司 | Peculiar smell intensity detection model generation system, peculiar smell intensity detection device and refrigerator |
| CN111426801A (en) * | 2020-05-09 | 2020-07-17 | 上海宁和环境科技发展有限公司 | Electronic nose learning and domesticating method and equipment thereof |
| CN113340943A (en) * | 2021-06-02 | 2021-09-03 | 舟山市自来水有限公司 | Method for analyzing odor type and odor intensity in water body based on fingerprint spectrum |
| CN113340943B (en) * | 2021-06-02 | 2022-06-14 | 舟山市自来水有限公司 | Method for analyzing odor type and odor intensity in water body based on fingerprint |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108645971A (en) | A kind of air peculiar smell strength grade detection method based on electronic nose | |
| CN106568783B (en) | A kind of hardware defect detecting system and method | |
| CN105877766B (en) | A kind of state of mind detection system and method based on the fusion of more physiological signals | |
| CN104374738B (en) | A kind of method for qualitative analysis improving identification result based on near-infrared | |
| CN101493431A (en) | Method for detecting fresh degree of chicken meat by electronic nose | |
| CN107741477A (en) | A kind of device and method of detection VOC odor intensity scales and smell concentration scale | |
| WO2023036015A1 (en) | Fatigue detection method and system based on multi-dimensional body state sensing | |
| CN110794090A (en) | Emotion electronic nose implementation method | |
| Abdullah et al. | Electronic nose system for Ganoderma detection | |
| Kong et al. | Weighted summation: feature extraction of farm pigsty data for electronic nose | |
| CN112244871A (en) | Amplitude integration electroencephalogram classification recognition system based on machine learning | |
| CN113796873B (en) | Wearable dynamic electrocardiosignal classification method and system | |
| CN110032987B (en) | Surface electromyographic signal classification method based on cerebellar neural network model | |
| CN102654494A (en) | Method for establishing quality identification and detection standard for agricultural products | |
| CN105600841B (en) | A kind of aquaculture water quality monitoring and purifying treatment method | |
| CN113456063A (en) | Artificial intelligence-based dead chicken disease detection system and detection method | |
| CN110726813B (en) | Electronic nose prediction method based on double-layer integrated neural network | |
| Chang et al. | Prediction of human responses to dairy odor using an electronic nose and neural networks | |
| CN107764793A (en) | Detection method of the electronic nose to aspergillus oryzae fermentation situation in bean paste yeast making process | |
| CN207623308U (en) | A kind of device of detection VOC odor intensity scales and smell concentration scale | |
| Lazaro et al. | Chemometric data analysis for black tea fermentation using principal component analysis | |
| CN113075264A (en) | Method and device for calculating odor concentration value through sensor signal value fitting | |
| CN211299937U (en) | Mongolian medicine pulse condition acquisition and analysis system | |
| CN211299936U (en) | Mongolian medicine pulse condition acquisition and analysis system | |
| Liping et al. | Prediction and Realization of DO in sewage Treatment based on Machine Vision and BP Neural Network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20181012 |
|
| WD01 | Invention patent application deemed withdrawn after publication |