CN106018510A - Photoelectric response based method for identifying and detecting vapor of explosive - Google Patents
Photoelectric response based method for identifying and detecting vapor of explosive Download PDFInfo
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- CN106018510A CN106018510A CN201610344253.XA CN201610344253A CN106018510A CN 106018510 A CN106018510 A CN 106018510A CN 201610344253 A CN201610344253 A CN 201610344253A CN 106018510 A CN106018510 A CN 106018510A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/02—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance
- G01N27/04—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating impedance by investigating resistance
Abstract
The invention relates to a photoelectric response based method for identifying and detecting the vapor of an explosive. A device related to the method consists of a sensor, a light source, a power supply, an ampere meter, a signal processor and an alarm; the light source which can be periodically turned on and off and changed in light intensity is used for irradiating a single sensor with a quick photoelectric response; the change of a light current, which is caused as the vapor of the explosive is adsorbed on the surface of a sensitive material for the sensor is measured; the data processing is carried out through mode identification methods of principal component analysis, linear discriminant analysis, an artificial neural network and the like; a standard database of the responses of a sensor array to the vapor of explosives of different types is realized; through comparing the data processing result of a suspected explosive with the database, the purposes of identifying and detecting the vapor of the explosive is achieved finally. According to the method, by utilizing the photoelectric properties of the sensitive material, the structure of the sensor array is simplified while the detection limit is improved; the purpose of quickly identifying the explosive is realized by utilizing the sensitive gas-sensitive response and the quick photoelectric response of the sensitive material.
Description
Technical field
The present invention relates to explosive detection field, particularly relate to a kind of explosive vapors recognition detection side based on photoelectric respone
Method.The light being specifically related to use a wavelength range irradiates the sensitive material with rapid photoelectric response, by periodically switch
Light source and change light intensity, measure the photocurrent variations that on different light intensity lower sensor, explosive Molecular Adsorption causes, use main constituent
Analysis, linear discriminant analysis, artificial neural network isotype recognition methods carry out data process, it is achieved sensor array is to difference
The standard database of kind explosive vapors response, the standard database that comparison is set up, doubtful trace explosive steam is examined
Survey and classification.The method can simplify sensor array structure while improving detection limit, it is achieved quickly identifies the purpose of explosive.
Background technology
The terrorist bombings event serious harm social stability and national security, the detection of latent explosive is always domestic and international public safety
The difficult problem that field pays high attention to.Standard explosive such as, trinitrotoluene (TNT), dinitrotoluene (DNT) (DNT), para-nitrotoluene
(PNT), picric acid (PA), hexogen (RDX), carbamide (Urea), black powder (BP), ammonium nitrate (AN), Ji Wusi
Alcohol tetranitrate (PETN), cyclotetramethylene-tetranitramine (HMX), three peroxidating tri acetylacetonate and sulfur, because of have low-vapor pressure and
The features such as high explosivity, become a class explosive most common, that range is the widest.Non-authorized explosive is of a great variety, and composition is multiple
Miscellaneous, raw material sources are in the raw material of industry, agrochemical and the articles for daily use etc., and such as ammonium nitrate, carbamide, sulfur etc., its detection is the most tired
Difficult.
Owing to explosive category is various, the most single-minded detection to be realized the most difficult.Meanwhile, structure is equal to each explosive
The sensor having single-minded response is more difficult.Therefore, need in the detection introduce sensor array and known by data process
Not.Sensor array is a kind of to simulate mammal by olfactory sensation and the detection means of taste identification material.A series of by setting up
The sensor unit of cross reaction, then record all unit respondent behavior for same substance, use principal component analysis,
Linear discriminant analysis, neutral net isotype recognition methods carry out data process, it is possible to achieve the differentiation to different material.Therefore,
Either optical pickocff or electric sensor, often introduces sensor array and realizes Object Classification.
The building process of sensor array needs to introduce a series of sensor unit.In order to ensure data handling procedure Cluster Classification
Effect, number of sensors is abundant.This just brings two problems: one, sensor-based system structure becomes complicated；Two, need relatively
Many synthesis or modification step, building process is complicated.Therefore, how simplifying sensor array structure is a technology being badly in need of.
When incident photon energy (hv) is more than or equal to the energy gap (E of quasiconductorg) time, the electrons in valence band is absorbed into
Penetrate photon, valence band transit to conduction band, form photoelectric current.When gas absorption is on material, photoelectric current size can be significantly changed.
In addition, light intensity can regulate and control the response characteristic of sensing material.Therefore, it can utilize the sound of light intensity regulation and control Electrophotosensitivmaterial material
Answer characteristic, thus simplify sensor array.
Summary of the invention
It is an object of the invention to, it is provided that a kind of explosive vapors recognition detection method based on photoelectric respone, the method relates to
Device be made up of sensor, light source, power supply, ammeter, signal processor and alarm, use can periodic switch and
Change the light source of light intensity change, irradiate and have on the single sensor of rapid photoelectric response, measure explosive vapors quick at sensor
Sense material surface adsorbs the photocurrent variations caused, by principal component analysis, linear discriminant analysis, neutral net isotype identification
Method carries out data process, obtains the standard database that variety classes explosive vapors is responded by sensor array, by by doubtful
The data processed result of explosive and data base's comparison, be finally reached the purpose of recognition detection explosive vapors.The method utilizes quick
The photoelectric properties of sense material, are changed by the intensity of light source and periodic switch, cause photoelectric material poor to the response magnitude of explosive
Different, single sensor realize the effect of array sensing, simplify sensor array structure while improving detection limit, utilize
The air-sensitive that sensitive material is sensitive responds and quick photoelectric respone, it is achieved quickly identify the purpose of explosive.
A kind of explosive vapors recognition detection method based on photoelectric respone of the present invention, the device related in the method be by
Sensor, light source, power supply, ammeter, signal processor and alarm composition, sensor (1), light source (2), power supply
(3), ammeter (4) concatenate with signal processor (5), signal processor (5) is connected with alarm (6), and use can
Periodic switch and the light source (2) of change light intensity change, irradiate and have on the single sensor (1) of rapid photoelectric response, pass
Sensitive material on sensor (1) is silicon-zinc oxide p-n knot, silicon nanowires/Graphene schottky junction, titanium dioxide/graphene
Schottky junction, silicon-zinc oxide core-shell nano linear array/Graphene schottky junction, silicon nanowires/metal Schottky-based knot, silicon nanometer
Linear array, titanium dioxide modify silicon nanowire array/Graphene schottky junction or gold nano particle modification silicon nanowire array/
Graphene schottky junction, concrete operations follow these steps to carry out:
A, above the sensitive material of sensor (1) equipped with light source (2), light source (2) is that wave-length coverage is at 200-800nm
Between light emitting diode (LED), Xe lamp, Hg lamp or LASER Light Source；
B, sensor (1) is placed in air, at ambient temperature, by the opening and closing being gap periods with 1ms-2s
Light source (2) also changes light intensity, and wherein light intensity number is 3-10, records sensitive material photoelectric current under different light intensity, obtains
Baseline current value；
C, sensor (1) is respectively placed under room temperature series concentration known different explosive vapors in, by with 1ms-2s
For the opening and closing light source (2) of gap periods and change light intensity, wherein light intensity number is 3-10, records sensitive material and is not sharing the same light
Photoelectric current under Qiang, demarcates explosive vapors, calculates every kind of light intensity lower sensor (1) respectively and steams different explosives
The response magnitude of gas, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveSteam at explosive for sensitive material
Photoelectric current size in gas, IAirFor sensitive material aerial photoelectric current size；
D, the data processing method analyzed by principal component analysis, neural network model or linear discriminent, obtain sensor (1)
The standard database that variety classes explosive vapors is responded by array；
E, sensor (1) is placed in atmosphere to be measured, by the opening and closing light source (2) that is gap periods with 1ms-2s and
Changing light intensity, wherein light intensity number is 3-10, records sensitive material photoelectric current under different light intensity, uses and in step d
Identical data processing method processes response signal, and with the data base's comparison in step d, draw whether there is explosive vapors,
There is which kind of explosive vapors.
Light source (2) described in step a is light emitting diode.
Measurement signal in step c is photoelectric current incessantly, can be also photovoltage, resistance.
Invent a kind of described explosive vapors recognition detection method based on photoelectric respone, the sensitive material in the method, do not limit to
In silicon-zinc oxide p-n knot, silicon nanowires/Graphene schottky junction, titanium dioxide/graphene schottky junction, silicon-zinc oxide core
Shell nano-wire array/Graphene schottky junction, silicon nanowires/metal Schottky-based knot, silicon nanowire array, titanium dioxide are modified
The silicon nanowire array of silicon nanowire array/Graphene schottky junction or gold nano particle modification/Graphene schottky junction, all to quick-fried
The material that fried thing steam has rapid photoelectric response characteristic all falls within protection scope of the present invention；
Explosive detection scope in a kind of explosive vapors recognition detection method based on photoelectric respone of the present invention, can basis
The scope setting up explosive data base adjusts；
Light intensity number in a kind of explosive vapors recognition detection method based on photoelectric respone of the present invention and light intensity magnitude, can
Adjust according to practical situation；
A kind of explosive vapors recognition detection method based on photoelectric respone of the present invention, the method compared with prior art has
Have the advantage that use can periodic switch and change the light source of light intensity change, irradiate and there is the single sensing of rapid photoelectric response
On device, measure explosive vapors and adsorb the photocurrent variations caused at sensor sensing material surface, by principal component analysis, line
Property discriminant analysis, neutral net isotype recognition methods carry out data process, obtain sensor array and different explosive vapors rung
The standard database answered, by by the data processed result of suspected explosive and data base's comparison, is finally reached recognition detection blast
The purpose of thing steam.The method is changed by the intensity of light source and periodic switch, causes the photoelectric material response magnitude to explosive
Difference, is realized the effect of array sensing by single sensor, simplifies sensor array structure while improving detection limit, from
And realize identifying the purpose of explosive.Utilize air-sensitive response and quick photoelectric respone that sensitive material is sensitive, it is achieved quickly identify
The purpose of detection explosive.The method compensate for the shortcoming that traditional sensors array structure is complicated, building process is loaded down with trivial details, for novel
The structure of sensor array provides reference and thinking.
Accompanying drawing explanation
Fig. 1 is the detection structural representation of the present invention；
Fig. 2 be the present invention with silicon-zinc oxide core-shell nano linear array/Graphene schottky junction as sensitive material, 8 kinds of light intensity
Under light irradiates, the photoelectric respone curve to air at room temperature；
Fig. 3 be the present invention with silicon-zinc oxide core-shell nano linear array/Graphene schottky junction as sensitive material, at 8 kinds of light high lights
Photoelectric respone curve under irradiation, to TNT room temperature saturated vapor；
Fig. 4 be the present invention with silicon-zinc oxide core-shell nano linear array/Graphene schottky junction as sensitive material, at 8 kinds of light high lights
Photoelectric respone curve under irradiation, to ammonium nitrate room temperature saturated vapor；
Fig. 5 be the present invention with silicon-zinc oxide core-shell nano linear array/Graphene schottky junction as sensitive material, room temperature condition pair
Trinitrotoluene (TNT), dinitrotoluene (DNT) (DNT), para-nitrotoluene (PNT), picric acid (PA), hexogen (RDX),
The curve that ammonium nitrate, black powder (BP) and 8 kinds of explosive saturated vapor photoelectric respone sizes of ammonium nitrate (AN) change with light intensity；
Fig. 6 be the present invention with silicon-zinc oxide core-shell nano linear array/Graphene schottky junction as sensitive material, use main constituent
The data processing method analyzed, trinitrotoluene (TNT), dinitrotoluene (DNT) (DNT), para-nitrotoluene (PNT), picric acid
(PA), hexogen (RDX), carbamide (Urea), black powder (BP), 8 kinds of saturated steamings of explosive room temperature of ammonium nitrate (AN)
The data base of gas.
Detailed description of the invention
Below in conjunction with drawings and Examples, the present invention is described in detail:
Embodiment 1
A kind of explosive vapors recognition detection method based on photoelectric respone of the present invention, the device related in the method be by
Sensor, light source, power supply, ammeter, signal processor and alarm composition, sensor 1, light source 2, power supply 3, electricity
Stream table 4 concatenates with signal processor 5, and signal processor 5 is connected with alarm 6, and use can periodic switch and change light intensity
Change light source 2, irradiate have on the single sensor 1 of rapid photoelectric response, the sensitive material on sensor 1 be silicon-
Zinc oxide p-n knot, silicon nanowires/Graphene schottky junction, titanium dioxide/graphene schottky junction, silicon-zinc oxide nucleocapsid are received
The silicon that nanowire arrays/Graphene schottky junction, silicon nanowires/metal Schottky-based knot, silicon nanowire array, titanium dioxide are modified is received
The silicon nanowire array of nanowire arrays/Graphene schottky junction or gold nano particle modification/Graphene schottky junction, concrete operations are pressed
The following step is carried out:
A, above the silicon-zinc oxide core-shell nano linear array/Graphene schottky junction sensitive material of sensor 1 equipped with luminous two
Pole pipe (LED) light source 2, light source 2 irradiates sensitive material for the light that wavelength is 468nm；
B, sensor 1 is placed in air, at ambient temperature, by opening and closing light source 2 that 2s is gap periods and change
Darkening is strong, and light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2, 8W/m, survey
Obtain silicon-zinc oxide core-shell nano linear array/Graphene schottky junction sensitive material photoelectric current under different light intensity, obtain baseline electricity
Flow valuve (Fig. 2)；
C, sensor 1 is respectively placed under room temperature series the trinitrotoluene (TNT) of concentration known, dinitrotoluene (DNT) (DNT),
Para-nitrotoluene (PNT), picric acid (PA), hexogen (RDX), carbamide (Urea), black powder (BP), ammonium nitrate (AN)
Saturated vapor in, by opening and closing light source 2 that 2s is gap periods and change light intensity, light intensity is 1W/m respectively2、2W/m2、
3W/m2、4W/m2、5W/m2、6W/m2、7W/m2, 8W/m, record silicon-zinc oxide core-shell nano linear array/Graphene
Schottky junction sensitive material photoelectric current under different light intensity, demarcates explosive vapors, and TNT room temperature is satisfied by sensitive material
Seeing (Fig. 3) with the photoelectric respone curve of steam, the photoelectric respone curve of room temperature ammonium nitrate saturated vapor is shown in (figure by sensitive material
4)；Calculating the every kind of light intensity lower sensor 1 response magnitude to different explosive vapors respectively, response magnitude is defined as (IBlast Thing-IAir)/IAir, wherein IExplosiveFor sensitive material photoelectric current size in explosive vapors, IAirExist for sensitive material
Photoelectric current size in air；Room temperature condition to trinitrotoluene (TNT), dinitrotoluene (DNT) (DNT), para-nitrotoluene (PNT),
Picric acid (PA), hexogen (RDX), carbamide (Urea), black powder (BP) and 8 kinds of explosives of ammonium nitrate (AN) are saturated
The curve that steam photoelectric respone size changes with light intensity is shown in (Fig. 5)；
D, by principle component analysis data processing method, obtain sensor 1 array to trinitrotoluene (TNT), dinitro first
Benzene (DNT), para-nitrotoluene (PNT), picric acid (PA), hexogen (RDX), carbamide (Urea), black powder (BP)
Standard database (Fig. 6) with the response of ammonium nitrate (AN) explosive vapors；
E, sensor 1 is placed in trinitrotoluene (TNT) room temperature saturated vapor, is the opening and closing of gap periods by 2s
Light source 2 also changes light intensity, and light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、
8W/m, records silicon-zinc oxide core-shell nano linear array/Graphene schottky junction sensitive material photoelectric current under different light intensity,
Use PCA to process the data base in data, and comparison step d, find doubtful thing and trinitrotoluene (TNT)
It coincide.
Embodiment 2
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, above the silicon-zinc oxide sensitive material of sensor 1 equipped with light source 2, light source 2 wavelength be 468nm light irradiate
Sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 that is gap periods with 1ms also
Changing light intensity, light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2, record silicon-zinc oxide
Sensitive material photoelectric current under different light intensity, obtains baseline current value；
C, sensor 1 is respectively placed in trinitrotoluene under room temperature (TNT), dinitrotoluene (DNT) (DNT), picric acid (PA),
In the saturated vapor of hexogen (RDX), pentaerythritol tetranitrate (PETN) and cyclotetramethylene-tetranitramine (HMX), logical
Cross with 1ms be gap periods opening and closing light source 2 and change light intensity, light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、
5W/m2、6W/m2, record silicon-zinc oxide sensitive material photoelectric current under different light intensity, explosive vapors demarcated；
Integrating step b, calculates the every kind of light intensity lower sensor response magnitude to different explosive vapors respectively, and response magnitude is defined as
(IExplosive-IAir)/IAir, wherein IExplosiveFor sensitive material photoelectric current size in explosive vapors, IAirFor sensitivity
Material aerial photoelectric current size；
D, by the data processing method of principal component analysis, obtain sensor 1 array to trinitrotoluene (TNT), dinitro
Toluene (DNT), picric acid (PA), hexogen (RDX), pentaerythritol tetranitrate (PETN) and ring tetramethylene four nitre
The standard database of amine (HMX) explosive vapors response；
E, sensor 1 is placed in cyclotetramethylene-tetranitramine (HMX) room temperature saturated vapor, by between with 1ms being every other week
The opening and closing light source 2 of phase property also changes light intensity, and light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2,
Record silicon-zinc oxide sensitive material photoelectric current under different light intensity, use PCA to process data, and comparison step
Data base in d, finds that doubtful thing coincide with cyclotetramethylene-tetranitramine (HMX), it was demonstrated that there is cyclotetramethylene-tetranitramine
(HMX)。
Embodiment 3
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, sensor 1 titanium dioxide modify silicon nanowire array/Graphene schottky junction sensitive material above equipped with laser
Light source 2, light source 2 wavelength is that the light of 532nm irradiates sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 being gap periods with 100ms
And changing light intensity, light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2、
9W/m2、10W/m2, record the silicon nanowire array/Graphene schottky junction sensitive material of titanium dioxide modification in different light intensity
Under photoelectric current, obtain baseline current value；
C, sensor 1 is respectively placed in black powder under room temperature (BP), dinitrotoluene (DNT) (DNT), picric acid (PA), black rope
In gold (RDX) and three peroxidating tri acetylacetonate saturated vapors, by the opening and closing light source 2 that is gap periods with 100ms and change
Light intensity, light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2、9W/m2、
10W/m2, record silicon nanowire array/Graphene schottky junction sensitive material that titanium dioxide modifies photoelectricity under different light intensity
Stream, demarcates explosive vapors；Integrating step b, calculates every kind of light intensity lower sensor respectively to different explosive vapors
Response magnitude, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveFor sensitive material at explosive vapors
In photoelectric current size, IAirFor sensitive material aerial photoelectric current size；
D, by the data processing method of linear discriminant analysis, obtain sensor 1 array to black powder (BP), dinitrotoluene (DNT)
(DNT), picric acid (PA), hexogen (RDX) and the standard database of three peroxidating tri acetylacetonate explosive vapors response；
E, sensor 1 is placed in three peroxidating tri acetylacetonate room temperature saturated vapors, by with 100ms opening for gap periods
Black out source 2 also changes light intensity, and light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、
8W/m2、9W/m2、10W/m2, the silicon nanowire array/Graphene schottky junction sensitive material recording titanium dioxide modification exists
Photoelectric current under different light intensity, uses Fisher face to process the data base in data, and comparison step d, finds doubtful
Thing and three peroxidating tri acetylacetonates coincide, it was demonstrated that there are three peroxidating tri acetylacetonates.
Embodiment 4
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, above the silicon nanowire array/Graphene schottky junction sensitive material of sensor 1 equipped with LED light source 2, light source
2 wavelength are that the light of 367nm irradiates sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 being gap periods with 500ms
And changing light intensity, light intensity is 2W/m respectively2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2, record
Silicon nanowire array/Graphene schottky junction sensitive material photoelectric current under different light intensity, obtains baseline current value；
C, sensor 1 is respectively placed in trinitrotoluene under room temperature (TNT), dinitrotoluene (DNT) (DNT), picric acid (PA),
In black powder (BP) and three peroxidating tri acetylacetonate saturated vapors, by the opening and closing light source 2 that is gap periods with 500ms also
Changing light intensity, light intensity is 2W/m respectively2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2, record silicon
Nano-wire array/Graphene schottky junction sensitive material photoelectric current under different light intensity, demarcates explosive vapors；Knot
Closing step b, calculate the every kind of light intensity lower sensor response magnitude to different explosive vapors respectively, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveFor sensitive material photoelectric current size in explosive vapors, IAirFor sensitive material
Expect aerial photoelectric current size；
D, by the data processing method of neural network model, obtain sensor 1 array to trinitrotoluene (TNT), dinitro
Base toluene (DNT), picric acid (PA), black powder (BP) and the normal data of three peroxidating tri acetylacetonate explosive vapors response
Storehouse；
E, sensor 1 is placed in black powder (BP) room temperature saturated vapor, by the opening and closing being gap periods with 500ms
Light source 2 also changes light intensity, and light intensity is 2W/m respectively2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2,
Record silicon nanowire array/Graphene schottky junction sensitive material photoelectric current under different light intensity, use at neural network model
Data base in reason data, and comparison step d, finds that doubtful thing coincide with black powder (BP), it was demonstrated that there is black powder (BP).
Embodiment 5
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, sensor 1 golden nanometer particle modify silicon nanowires/Graphene schottky junction sensitive material above equipped with LED
Light source 2, light source 2 wavelength is that the light of 300nm irradiates sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 that is gap periods with 1s also
Changing light intensity, light intensity is 4W/m respectively2、5W/m2、6W/m2, record silicon nanowires/Graphene Xiao that golden nanometer particle is modified
Special base junction sensitive material photoelectric current under different light intensity, obtains baseline current value；
C, sensor 1 is respectively placed in hexogen under room temperature (RDX), carbamide (Urea), ammonium nitrate (AN) and tetramethylolmethane
In the saturated vapor of tetranitrate (PETN), by the opening and closing light source 2 that is gap periods with 1s and change light intensity, light intensity
It is 4W/m respectively2、5W/m2、6W/m2, record silicon nanowires/Graphene schottky junction sensitive material that golden nanometer particle is modified
Photoelectric current under different light intensity, demarcates explosive vapors；Integrating step b, calculates every kind of light intensity lower sensor respectively
Response magnitude to different explosive vapors, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveFor quick
Sense material photoelectric current size in explosive vapors, IAirFor sensitive material aerial photoelectric current size；
D, by the data processing method of neural network model, obtain sensor 1 array to hexogen (RDX), carbamide (Urea),
Ammonium nitrate (AN) and the standard database of pentaerythritol tetranitrate (PETN) explosive vapors response；
E, sensor 1 is placed in carbamide room temperature saturated vapor, by the opening and closing light source 2 that is gap periods with 1s and change
Darkening is strong, and light intensity is 4W/m respectively2、5W/m2、6W/m2, record silicon nanowires/Graphene Xiao Te that golden nanometer particle is modified
Base junction sensitive material photoelectric current under different light intensity, uses neural network model to process the data in data, and comparison step d
Storehouse, finds that doubtful thing coincide with carbamide, it was demonstrated that there is carbamide.
Embodiment 6
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, above the titanium dioxide/graphene schottky junction sensitive material of sensor 1 equipped with Hg lamp source 2, in the optical path
Adding grating, filter plate, lens, reflecting mirror, light source 2 wavelength is that the light of 500nm irradiates sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 being gap periods with 1.5s
And changing light intensity, light intensity is 2W/m respectively2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2、9W/m2、
10W/m2, record titanium dioxide/graphene schottky junction sensitive material photoelectric current under different light intensity, obtain baseline current value；
C, sensor 1 is respectively placed in trinitrotoluene under room temperature (TNT), hexogen (RDX), carbamide (Urea), nitric acid
Ammonium (AN), pentaerythritol tetranitrate (PETN) and cyclotetramethylene-tetranitramine (HMX), sulfur saturated vapor in, pass through
With 1.5s be gap periods opening and closing light source 2 and change light intensity, light intensity is 2W/m respectively2、3W/m2、4W/m2、5W/m2、
6W/m2、7W/m2、8W/m2、9W/m2、10W/m2, record titanium dioxide/graphene schottky junction sensitive material in difference
Photoelectric current under light intensity, demarcates explosive vapors；Integrating step b, calculates every kind of light intensity lower sensor respectively to difference
The response magnitude of explosive vapors, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveFor sensitive material
Photoelectric current size in explosive vapors, IAirFor sensitive material aerial photoelectric current size；
D, by the data processing method of principal component analysis, obtain sensor array to trinitrotoluene (TNT), hexogen (RDX),
Carbamide (Urea), ammonium nitrate (AN), pentaerythritol tetranitrate (PETN) and cyclotetramethylene-tetranitramine (HMX), sulfur are quick-fried
The standard database of fried thing steam response；
E, sensor 1 is placed in sulfur room temperature saturated vapor, by the opening and closing light source 2 that is gap periods with 1.5s and change
Darkening is strong, and light intensity is 2W/m respectively2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2、9W/m2、
10W/m2, record titanium dioxide/graphene schottky junction sensitive material photoelectric current under different light intensity, use principal component analysis
Method processes the data base in data, and comparison step d, finds that doubtful thing coincide with sulfur, it was demonstrated that there is sulfur.
Embodiment 7
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, above the silicon nanowire array sensitive material of sensor 1 equipped with LASER Light Source 2, light source 2 wavelength is 350nm's
Light irradiates sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 that is gap periods with 2s also
Changing light intensity, light intensity is 3W/m respectively2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2, record silicon nanowires battle array
Row sensitive material photoelectric current under different light intensity, obtains baseline current value；
C, sensor 1 is respectively placed in carbamide under room temperature (Urea), ammonium nitrate (AN) and pentaerythritol tetranitrate (PETN)
Saturated vapor in, by the opening and closing light source 2 that is gap periods with 2s and change light intensity, light intensity is 3W/m respectively2、4W/m2、
5W/m2、6W/m2、7W/m2、8W/m2, record silicon nanowire array sensitive material photoelectric current under different light intensity, to quick-fried
Fried thing steam is demarcated；Integrating step b, calculates every kind of light intensity lower sensor big to the response of different explosive vapors respectively
Little, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveFor sensitive material photoelectricity in explosive vapors
Stream size, IAirFor sensitive material aerial photoelectric current size；
D, by the data processing method of principal component analysis, obtain sensor 1 array to carbamide (Urea), ammonium nitrate (AN)
Standard database with the response of pentaerythritol tetranitrate (PETN) explosive vapors；
E, sensor 1 is placed in pentaerythritol tetranitrate (PETN) room temperature saturated vapor, by between with 2s being every other week
The opening and closing light source 2 of phase property also changes light intensity, and light intensity is 3W/m respectively2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2,
Record silicon nanowire array sensitive material photoelectric current under different light intensity, use PCA to process data, and comparison step
Data base in rapid d, finds that doubtful thing coincide with pentaerythritol tetranitrate (PETN), it was demonstrated that there is tetramethylolmethane four nitric acid
Ester (PETN).
Embodiment 8
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, above the silicon nanowire array sensitive material of sensor 1 equipped with Xe lamp source 2, add grating, filter in the optical path
Wave plate, lens, reflecting mirror, light source 2 wavelength is that the light of 500nm irradiates sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 that is gap periods with 2s also
Changing light intensity, light intensity is 3W/m respectively2、4W/m2、5W/m2、6W/m2、7W/m2, record silicon nanowire array sensitivity material
Expect the photoelectric current under different light intensity, obtain baseline current value；
C, sensor 1 is respectively placed in hexogen under room temperature (RDX), ammonium nitrate (AN), pentaerythritol tetranitrate (PETN)
In cyclotetramethylene-tetranitramine (HMX) and the saturated vapor of carbamide, by the opening and closing light source 2 that is gap periods with 2s also
Changing light intensity, light intensity is 3W/m respectively2、4W/m2、5W/m2、6W/m2、7W/m2, record silicon nanowire array sensitivity material
Expect the photoelectric current under different light intensity, explosive vapors is demarcated；Integrating step b, calculates respectively and senses under every kind of light intensity
The device response magnitude to different explosive vapors, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosive
For sensitive material photoelectric current size in explosive vapors, IAirFor sensitive material aerial photoelectric current size；
D, by the data processing method of linear discriminant analysis, obtain sensor 1 array to ammonium nitrate, RDX, HMX, PETN,
The standard database of carbamide explosive vapors response；
E, sensor 1 is placed in hexogen (RDX) room temperature saturated vapor, by the opening and closing light being gap periods with 2s
Source 2 also changes light intensity, and light intensity is 3W/m respectively2、4W/m2、5W/m2、6W/m2、7W/m2, record silicon nanowire array
Sensitive material photoelectric current under different light intensity, uses Fisher face to process the data base in data, and comparison step d,
Find that doubtful thing coincide with hexogen (RDX), it was demonstrated that there is hexogen (RDX).
Embodiment 9
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, above the silicon nanowires/gold schottky junction sensitive material of sensor 1 equipped with LED light source 2, add in the optical path
Grating, filter plate, lens, reflecting mirror, light source 2 wavelength is that the light of 200nm irradiates sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 being gap periods with 50ms
And changing light intensity, light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2、
9W/m2、10W/m2, record silicon nanowires/gold schottky junction sensitive material photoelectric current under different light intensity, obtain baseline electricity
Flow valuve；
C, sensor 1 is respectively placed in trinitrotoluene under room temperature (TNT), dinitrotoluene (DNT) (DNT), picric acid (PA),
Hexogen (RDX), carbamide (Urea), black powder (BP), ammonium nitrate (AN), pentaerythritol tetranitrate (PETN), ring
In the saturated vapor of tetramethylene tenitramine (HMX) and three peroxidating tri acetylacetonates, by with 50ms opening for gap periods
Black out source 2 also changes light intensity, and light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、
8W/m2、9W/m2、10W/m2, record silicon nanowires/gold schottky junction sensitive material photoelectric current under different light intensity, right
Explosive vapors is demarcated；Integrating step b, calculates the response to different explosive vapors of the every kind of light intensity lower sensor respectively
Size, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveFor sensitive material light in explosive vapors
Size of current, IAirFor sensitive material aerial photoelectric current size；
D, by the data processing method of principal component analysis, obtain sensor 1 array to trinitrotoluene (TNT), dinitro
Toluene (DNT), picric acid (PA), hexogen (RDX), carbamide (Urea), black powder (BP), ammonium nitrate (AN), season
Penta tetrol tetranitrate (PETN), cyclotetramethylene-tetranitramine (HMX) and the mark of three peroxidating tri acetylacetonate explosive vapors response
Quasi-data base；
E, sensor 1 is placed in sodium chloride room temperature saturated vapor, by the opening and closing light source 2 being gap periods with 50ms
And changing light intensity, light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2、
9W/m2、10W/m2, record silicon nanowires/gold schottky junction sensitive material photoelectric current under different light intensity, use main constituent
Analytic process processes the data base in data, and comparison step d, finds that doubtful thing is misfitted with the explosive in java standard library, it was demonstrated that
There is not explosive.
Embodiment 10
The device related in described method is same as in Example 1, and concrete operations follow these steps to carry out:
A, above the silicon nanowires/silver schottky junction sensitive material of sensor 1 equipped with LED light source 2, add in the optical path
Grating, filter plate, lens, reflecting mirror, light source 2 wavelength is that the light of 800nm irradiates sensitive material；
B, sensor 1 is placed in air, at ambient temperature, by the opening and closing light source 2 being gap periods with 800ms
And changing light intensity, light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2、
9W/m2、10W/m2, record silicon nanowires/silver schottky junction sensitive material photoelectric current under different light intensity, obtain baseline electricity
Flow valuve；
C, sensor 1 is respectively placed in trinitrotoluene under room temperature (TNT), dinitrotoluene (DNT) (DNT), picric acid (PA),
Hexogen (RDX), carbamide (Urea), black powder (BP), ammonium nitrate (AN), pentaerythritol tetranitrate (PETN), ring
In the saturated vapor of tetramethylene tenitramine (HMX) and three peroxidating tri acetylacetonates, by with 800ms opening for gap periods
Black out source also changes light intensity, and light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、
8W/m2、9W/m2、10W/m2, record silicon nanowires/silver schottky junction sensitive material photoelectric current under different light intensity, right
Explosive vapors is demarcated；Integrating step b, calculates the response to different explosive vapors of the every kind of light intensity lower sensor respectively
Size, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveFor sensitive material light in explosive vapors
Size of current, IAirFor sensitive material aerial photoelectric current size；
D, by the data processing method of neural network model, obtain sensor 1 array to trinitrotoluene (TNT), dinitro
Base toluene (DNT), picric acid (PA), hexogen (RDX), carbamide (Urea), black powder (BP), ammonium nitrate (AN),
Pentaerythritol tetranitrate (PETN), cyclotetramethylene-tetranitramine (HMX) and the response of three peroxidating tri acetylacetonate explosive vapors
Standard database；
E, sensor 1 is placed in monosodium glutamate room temperature saturated vapor, by the opening and closing light source 2 that is gap periods with 800ms also
Changing light intensity, light intensity is 1W/m respectively2、2W/m2、3W/m2、4W/m2、5W/m2、6W/m2、7W/m2、8W/m2、
9W/m2、10W/m2, record silicon nanowires/silver schottky junction sensitive material photoelectric current under different light intensity, use nerve net
Network models treated data, and the data base in comparison step d, find that doubtful thing is misfitted with the explosive in java standard library, it was demonstrated that
There is not explosive.
Embodiment of the present invention, for those skilled in the art, without departing from the principles of the present invention may be used
So that the present invention is carried out some amendments, as included using the optical elements such as grating, filter plate, lens (group) that the light of light is become
Divide and light path processes, increase explosive category and obtain standard database with the explosive not comprised in detection the present embodiment, increasing
Add light intensity number, change light intensity, change Electrophotosensitivmaterial material, use other light source, gather resistance, voltage change signal.
Claims (2)
1. an explosive vapors recognition detection method based on photoelectric respone, it is characterised in that the device related in the method is
It is made up of sensor, light source, power supply, ammeter, signal processor and alarm, sensor (1), light source (2), electricity
Source (3), ammeter (4) concatenate with signal processor (5), and signal processor (5) is connected with alarm (6), use
Can periodic switch and change light intensity change light source (2), irradiate have on the single sensor (1) of rapid photoelectric response,
Sensitive material on sensor (1) is silicon-zinc oxide p-n knot, silicon nanowires/Graphene schottky junction, titanium dioxide/graphite
Alkene schottky junction, silicon-zinc oxide core-shell nano linear array/Graphene schottky junction, silicon nanowires/metal Schottky-based knot, silicon are received
Silicon nanowire array/Graphene the schottky junction of nanowire arrays, titanium dioxide modification or the silicon nanowires battle array of gold nano particle modification
Row/Graphene schottky junction, concrete operations follow these steps to carry out:
A, above the sensitive material of sensor (1) equipped with light source (2), light source (2) is that wave-length coverage is at 200-800nm
Between light emitting diode (LED), Xe lamp, Hg lamp or LASER Light Source；
B, sensor (1) is placed in air, at ambient temperature, by the opening and closing being gap periods with 1ms-2s
Light source (2) also changes light intensity, and wherein light intensity number is 3-10, records sensitive material photoelectric current under different light intensity, obtains
Baseline current value；
C, sensor (1) is respectively placed under room temperature series concentration known different explosive vapors in, by with 1ms-2s
For the opening and closing light source (2) of gap periods and change light intensity, wherein light intensity number is 3-10, records sensitive material and is not sharing the same light
Photoelectric current under Qiang, demarcates explosive vapors, calculates every kind of light intensity lower sensor (1) respectively and steams different explosives
The response magnitude of gas, response magnitude is defined as (IExplosive-IAir)/IAir, wherein IExplosiveSteam at explosive for sensitive material
Photoelectric current size in gas, IAirFor sensitive material aerial photoelectric current size；
D, the data processing method analyzed by principal component analysis, neural network model or linear discriminent, obtain sensor (1)
The standard database that variety classes explosive vapors is responded by array；
E, sensor (1) is placed in atmosphere to be measured, by the opening and closing light source (2) that is gap periods with 1ms-2s and
Changing light intensity, wherein light intensity number is 3-10, records sensitive material photoelectric current under different light intensity, uses and in step d
Identical data processing method processes response signal, and with the data base's comparison in step d, draw whether there is explosive vapors,
There is which kind of explosive vapors.
Explosive vapors recognition detection method based on photoelectric respone the most according to claim 1, it is characterised in that step
Light source (2) described in a is light emitting diode.
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