CN110118734A - A kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning - Google Patents

A kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning Download PDF

Info

Publication number
CN110118734A
CN110118734A CN201810120017.9A CN201810120017A CN110118734A CN 110118734 A CN110118734 A CN 110118734A CN 201810120017 A CN201810120017 A CN 201810120017A CN 110118734 A CN110118734 A CN 110118734A
Authority
CN
China
Prior art keywords
toxic gas
early warning
infrared
particle
response
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
Application number
CN201810120017.9A
Other languages
Chinese (zh)
Inventor
王廷春
王文正
吴德松
李千登
张国之
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Petroleum and Chemical Corp
Sinopec Qingdao Safety Engineering Institute
Original Assignee
China Petroleum and Chemical Corp
Sinopec Qingdao Safety Engineering Institute
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by China Petroleum and Chemical Corp, Sinopec Qingdao Safety Engineering Institute filed Critical China Petroleum and Chemical Corp
Priority to CN201810120017.9A priority Critical patent/CN110118734A/en
Publication of CN110118734A publication Critical patent/CN110118734A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/06Investigating concentration of particle suspensions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/06Investigating concentration of particle suspensions
    • G01N15/075Investigating concentration of particle suspensions by optical means

Landscapes

  • Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Analytical Chemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Engineering & Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Dispersion Chemistry (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

The invention discloses a kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning, are related to the determination techniques field of typical toxic gas in the dusty atmosphere environment of coalification work area.Its method for early warning includes: to establish powder dust particle and representative gases basic optical property database respectively, it writes debugging and forms infrared signal inversion processing module, last integration module is into infrared optics detection system device and carries out the identification detection of dusty atmosphere environment toxic gas, starts corresponding early warning mechanism according to detection result.The present invention has comprehensively considered the optical absorption of the optical attenuator effect and gas of powder dust particle in plant area's atmospheric environment to be monitored, the leakage pollution situation of toxic gas is assessed using Stochastic particle swarm optimization inverting by infrared multi channel signals, provides Path Method to poison the detecting early-warning of gas leakage in coal chemical industry plant area dusty atmosphere environment.

Description

A kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning
Technical field
The present invention relates to the determination techniques fields of toxic gas typical in the dusty atmosphere environment of coalification work area, and in particular to one The infrared multi-channel detection early warning system of the typical toxic gas of kind and method for early warning.
Background technique
There are a large amount of powder dust particle and toxic and harmful gas, toxic and harmful gas in coal chemical industry plant area production operation environment Leakage release will lead to the generation of fire explosion, seriously threaten the safety in production of coal chemical industry plant area and the life of worker Health.ASSOCIATE STATISTICS the result shows that, the fire explosion as caused by gas leakage be threaten coal chemical industry plant area keep the safety in production Principal element.Therefore, it is necessary to reinforce the monitoring of the detection to coal chemical industry plant area key position toxic gas, the morning of toxic gas is realized Phase detecting early-warning.It can be divided mainly into chemical detection technique and optical detective technology for the detection technique of toxic gas at present.Change Learning detection method mainly includes electrochemical method, mass spectrography and gas chromatography etc., but chemical detection method is complicated for operation, is rung It answers speed slower, can not achieve the Monitoring and forecasting system in real-time to toxic gas leakage.Infrared optics monitoring method has response speed Fastly, it the characteristics of high sensitivity, real time on-line monitoring and long-range monitoring, has been obtained be widely applied at present.
CN104007081A discloses a kind of gas-detecting device and system and gas detection method, makes infrared light supply respectively By obtaining Infrared Targets spectral signal and reference signal containing object gas and without the seal cavity of object gas.Pass through The conversion process of infrared target signal and reference signal has mentioned a kind of gas-detecting device and system and gas detection method.Patent CN102589815A discloses a kind of calculation method of gas leakage infrared imaging detection limit, according to whether there is or not visit when gas leakage Survey background and detection target emanation emittance, and the calculation method proposed according to the equivalent blackbody temperature difference being converted to.
But above-mentioned correlative study does not consider that the infrared acquisition of toxic gas detects environment powder dust particle to light in the process The influence for learning signal, there are in the case where a large amount of dust particle especially in coal chemical industry plant area operating environment, the light of powder dust particle Learning decaying scattering process cannot more ignore.
Summary of the invention
The purpose of the present invention is to provide a kind of infrared multi-channel detection early warning system of typical toxic gas and method for early warning, The optical absorption of its optical attenuator effect and gas for having comprehensively considered powder dust particle in plant area's atmospheric environment to be monitored, leads to Infrared multi channel signals are crossed using the leakage pollution situation of Stochastic particle swarm optimization inverting assessment toxic gas, are coal chemical industry plant area The detecting early-warning that gas leakage is poisoned in dusty atmosphere environment provides Path Method.
One of task of the invention is to provide a kind of typical toxic gas infrared multi-channel detection early warning system.
The infrared multi-channel detection early warning system of a kind of typical case's toxic gas comprising signal detection unit, signal processing are flat Platform, powder dust particle basic optical property database, typical toxic gas basic optical property database and response unit, the letter Number probe unit includes infrared acquisition light source, infrared signal receiver and photoelectric signal sensor, and the infrared acquisition light source will Signal in toxic gas is transmitted to the infrared signal receiver, and is sent to the photoelectricity by the infrared signal receiver Signal transmission device, the photosignal transmitter will monitor gained signal and be transmitted to the signal processing platform;
The signal processing platform includes infrared signal inversion processing module and toxic gas detection result analysis module, institute Stating infrared signal inversion processing module includes forward modeling simulation calculation submodule and Inversion Calculation submodule, the forward modeling simulation calculation Submodule is used to poison the space distribution situation of atmosphere according to the dust-laden of hypothesis, in conjunction with the powder dust particle basic optical characteristic Database, typical toxic gas basic optical property database, and using Mie scattering model, narrow band model and discrete coordinates Method emulates dusty atmosphere infra-red optical signals to obtain forward modeling;The Inversion Calculation submodule is used to transmit with the photosignal After the analysis of signal contrast obtained by device, and objective function, the poisoning of Lai Shixian dusty atmosphere environment are solved using Stochastic particle swarm optimization The infrared optics assessment of evil gas levels of leakage;
The response unit is carried out related pre- according to the toxic gas detection result analysis module acquired results It is alert.
Further, above-mentioned objective function such as formula (1):
Wherein, τ andRespectively be measurement and simulation calculate obtain penetrate spectrum, N is the quantity of detecting band.
Further, the infrared transmission spectra of toxic gas is transmitted to the infrared signal and connect by above-mentioned infrared acquisition light source Receive device.
Another task of the invention is to provide a kind of typical toxic gas infrared multi-channel detection method for early warning, successively wrap Include following steps:
A establishes the step of basic optical database:
Including powder dust particle basic optical property database and typical toxic gas basic optical property database;
B constructs infrared signal inversion procedure program module, including following sub-step:
The infrared attenuating effect of powder dust particle combines powder dust particle basic optical property database in b1 toxic gas, uses Mie scattering theory calculates the optical diffusion characteristic of powder dust particle in toxic gas;
The space distribution situation of b2 typical case toxic gas basic optical property database combining target gas and normal atmospheric, The optical absorption for obtaining toxic gas is calculated using narrow band computation model;
B3 comprehensively considers the optical absorption of the optical diffusion characteristic of powder dust particle and toxic gas in toxic gas, adopts Radiation transfer equation is solved with discrete ordinates method, to obtain dusty atmosphere infrared radiation spectrum forward modeling simulation result;
B4 obtains dusty atmosphere infrared radiation spectrum test result using infrared detector, and above-mentioned steps are obtained Dusty atmosphere infrared radiation spectrum forward modeling simulation result is compared processing with dusty atmosphere infrared radiation spectrum test result, mentions It following objective function and solves out:
Wherein, τ andRespectively be measurement and simulation calculate obtain penetrate spectrum, N is the quantity of detecting band;
C toxic gas monitors emergency response:
Above-mentioned solution calculates the leakage concentration level c for obtaining space exploration object gas, and carries out response at different level.
Further, in step a, sampling processing is carried out to powder dust particle present in detection environment and carries out FT-IR surveying Examination, obtain powder dust particle penetrates spectrum, to obtain powder dust particle basic optical property database.
Further, Inversion Calculation is carried out using Stochastic particle swarm optimization and solves the objective function.
Further, above-mentioned Stochastic particle swarm optimization are as follows:
Step 1: the random site and speed to Particle Swarm are initially set;
Step 2: calculating the adaptive value of each particle;
Step 3: its adaptive value is compared by each particle with the adaptive value of the desired positions lived through, if Preferably, then as current desired positions;
Step 4: its adaptive value is compared by each particle with the adaptive value of global desired positions experienced, If preferably, as current global desired positions;
Step 5: the speed and position to particle are evolved;
Step 6: as not up to termination condition or reached a preset maximum number of iterations, then return step two.
Further, the response at different level is divided into level-one early warning response, second level early warning response, three-level early warning response and level Four Early warning response.
Further, Inversion Calculation is carried out using Stochastic particle swarm optimization to solve the objective function.
Further, the response at different level is divided into level-one early warning response, second level early warning response, three-level early warning response and level Four Early warning response.
Compared with prior art, the present invention uses infrared optics identification technology, fully considers coal chemical industry plant area powder dust particle Influence of the presence to optical signalling.
For typical case's toxic gas existing for coal chemical industry plant area, gas basic optical property database is established, the present invention The detecting early-warning of the applicable a variety of coal chemical industry plant area typical case's toxic gas of system.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawing:
Fig. 1 is detection early warning system integrated stand composition of the present invention;
Fig. 2 is early warning system topology layout figure of the present invention;
Fig. 3 is infrared signal inversion procedure program module implementation flow chart of the present invention;
Fig. 4 is toxic gas grading forewarning system responding device module implementation flow chart of the present invention;
In figure, 1- probe source, 2- signal receiver, 3- infra-red optical signals, 4- dust-laden murder by poisoning atmosphere, 5- photosignal Sensor, 6- infrared electro signal processing platform, 7- response at different level information centre.
Specific embodiment
The invention proposes a kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning, in order to make this The advantages of invention, technical solution are clearer, clear, elaborate combined with specific embodiments below to the present invention.
The present invention is as shown in Figure 1, a kind of infrared multi-channel detection of coal chemical industry plant area dusty atmosphere environment typical case's toxic gas Early warning system comprising signal detection unit, infrared electro signal processing platform, powder dust particle basic optical property database, Typical toxic gas basic optical property database and response unit, signal detection unit include probe source 1, signal receiver 2, photoelectric signal sensor 5, infrared electro signal processing platform 6 include that infrared signal inversion processing module and toxic gas detect Interpretation of result module.
Response unit is the related early warning carried out according to the toxic gas detection result analysis module acquired results.Such as Shown in Fig. 2, response at different level information centre 7 includes the response of toxic gas grading forewarning system, level-one (I grade) early warning response, second level (II Grade) early warning response, three-level (III grade) early warning response, level Four (IV grade) early warning response, government safety fire department, enterprise security master Pipe leader, enterprise security fire department, Field Force's inspection.
As shown in figure 3, infrared signal inversion processing module includes forward modeling simulation calculation submodule and Inversion Calculation submodule, Forward modeling simulation calculation submodule is used to poison the space distribution situation of atmosphere according to the dust-laden of hypothesis, in conjunction with the powder dust particle Basic optical property database, typical toxic gas basic optical property database, and use Mie scattering model, narrow band mould Type and discrete ordinates method obtain forward modeling emulation dusty atmosphere infra-red optical signals;Inversion Calculation submodule is used for and the photoelectricity After the analysis of signal contrast obtained by signal transmission device, and objective function, Lai Shixian dusty atmosphere are solved using Stochastic particle swarm optimization The infrared optics assessment of toxic gas levels of leakage in environment.
As shown in figure 4, toxic gas grading forewarning system responding device module mainly carries out poison according to toxic gas detection result Evil gas classification early warning response.According to I grade of (level-one) the early warning response of response at different level rank, II grade of (second level) early warning response, III grade The classification of toxic gas leak detection situation is not pushed to government's peace respectively by (three-level) early warning response, IV grade of (level Four) early warning response Full fire department, enterprise security person in charge, enterprise security fire department, Field Force's inspection simultaneously carry out grading forewarning system.
Embodiment 1:
Illustrate this as embodiment using the infrared acquisition early warning that coal dust gas leakage occurs for coal chemical industry plant area gasifying furnace device The specific embodiment of patent.Coal chemical industry plant area gasification furnace toxic gas leakage monitoring region M selected first, arrangement installation are infrared Probe source, infrared signal receiver, photoelectric signal sensor.The implementing procedure of this patent is as follows:
Step 1: establishing basic optical property database
Sampling processing is carried out for powder dust particle present in detection environment and carries out FT-IR test, obtains powder dust particle Through spectrum.Basic FT-IR test parameter and K-K relationship, Inversion Calculation obtain powder dust particle in the basic optical of infrared band Constant-complex refractivity index.Need to be formed typical toxic gas basic optical in the present invention simultaneously based on U.S. HITRAN8 database Property database obtains the basic optical parameter of gas.It mainly includes routine that other optical, which absorbs basic database, in the present invention Gas (N2,O2,CO2,H2) and typical toxic gas (CO, H O2S,CxHy,NOx,SOx)。
Step 2: establishing infrared signal inversion procedure program module
(a): forward modeling module
Assume initially that the space distribution situation T (c, ρ, α, β) for giving powder dust particle and object gas in environment to be measured, wherein The distribution situation of powder dust particle is stated using Rosin-Rammler function
W (D)=100exp (- α * D^ β)
Wherein c and ρ is the equivalent concentration of object gas and powder dust particle respectively, and α and β are that control dust size is distributed Two parameters in Rosin-Ramller function, W (D) are the sieve upper integrals in Rosin-Ramller function, and D represents dust grain Sub- diameter.
First against the infrared attenuating effect of powder dust particle, in conjunction with powder dust particle basic optical property database, using Mie The optical diffusion characteristic of scattering theory calculating powder dust particle.
Mie scattering formula is that non-plane of polarization electromagnetic wave projects the remote of the Maxwell equation obtained when uniform-spherical particle Field solution.Far field is the electromagnetic field that span particle compares distant place, because interparticle distance usually all compares particle size in practical Big is more, and Far field solution can be used with this condition.Spheroidal particle decay factor Qe, absorption factor Qa, dispersion factor Qs, scattering it is anti- It is following formula according to rate and the calculation formula of Scattering Phase Function
Qa=Qe-Qs
ω=Qs/Qe
In formula, m is Optical Constant of Particle (complex refractivity index), and m=n-ik, n, k is respectively refractive index and absorption index;Re Expression takes real;R is particle radii;χ is scale parameter;χ=π D/ λ, D=2r;CeWith CsRespectively decay and scatters Section, an、bnReferred to as Mie scattering coefficient;ω is the scattering albedo of particle;Φ (θ) is the Scattering Phase Function of particle;S1, S2 Referred to as complex amplitude function (also referred to as scattering function).Radiation function calculating formula is as follows
πn、τnAngle function is referred to as scattered,It is the angle of projecting direction and scattering direction for angle of scattering.
Meanwhile based on toxic gas basic optical property database typical in the present invention, combining target gas and routine are big The space distribution situation of gas calculates the optical absorption for obtaining gas using narrow band computation model.
The optical absorption for comprehensively considering the optical attenuator effect and gas of powder dust particle, is solved using discrete ordinates method Radiation transfer equation can obtain the forward modeling emulation Infrared Transmission characteristic that dust-laden poisons atmospheric environment.For non-grey transmitting-absorption- For scattering medium, radiation transfer equation can be stated are as follows:
Assuming that powder dust particle is non-gray surface medium, radiation boundary condition can be with is defined as:
Wherein, spectral radiance of I (r, the Ω) powder dust particle on the direction Ω;IbIt (r) is blackbody radiation intensity;κaWith κsIt is the absorption scattering coefficient by calculating the powder dust particle of acquisition in Mie scattering model;It is on specific direction Ω Intensity gradient;Φ (Ω ', Ω) I (r, Ω ') d Ω ' is the radiation energy part scattered in powder dust particle outside direction;ε and ρ points It is not the slin emissivity and refractive index of powder dust particle;N is the unit normal vector of boundary position.
It is as follows on limited coordinate direction, radiation transfer equation can be replaced by discrete equation group:
To put it more simply, the λ footmark for representing wavelength in radiation transfer equation is omitted.μ, ξ and η are x's, y and z respectively Direction cosines ω is the integral coefficient on radiation transmission direction.
In simulation calculating process, corresponding boundary condition is assumed to be the hair that boundary is thought in translucent medium this research It penetrates and reflectivity is all 0.Guarantee under any 90 ° of rotational case these using Sn method in the forming process of discrete coordinates Coordinate is all symmetrical and keeps numerical values recited constant.N value is used to guarantee that the point of spherome surface is uniformly and symmetrically distributed.Phase function It can be defined as Legnedre polynomial:
Cos ψ=μ μ '+ξ ξ '+η η '
(b): inverting module
The dusty atmosphere environment that forward modeling simulation calculation is obtained is infrared through spectrum and the acquisition of infrared optics detecting devices Infrared signal is compared processing, proposes following objective function
Wherein, τ andRespectively be measurement and simulation calculate obtain penetrate spectrum, N is the quantity of detecting band.It is entire anti- Drill the process for calculating and solving toxic gas concentration level, it is believed that be that objective function solves the process minimized.This research is adopted Carry out Inversion Calculation with Stochastic particle swarm optimization and solve objective function, the rudimentary algorithm process of Stochastic particle swarm optimization can be retouched simply It states are as follows:
(1) random site of Particle Swarm and speed are initially set;
(2) adaptive value of each particle is calculated;
(3) for each particle, its adaptive value is compared with the adaptive value of the desired positions lived through, if compared with It is good, then as current desired positions;
(4) for each particle, its adaptive value is compared with the adaptive value of global desired positions experienced, if compared with It is good, then as current global desired positions;
(5) it evolves to the speed of particle and position;
(6) as being not up to termination condition (usually adaptive value good enough) or reaching preset greatest iteration time It counts, then return step (2).
Step 3: signal detection and processing
Dust-laden, which is obtained, through probe source 1, the signal receiver 2 in signal detector by infrared optics poisons atmosphere 4 infrared transmission spectra.Infra-red optical signals 3 are connect by photoelectric signal sensor 5 with infrared electro signal processing platform 6, Infrared electro signal processing platform 6 is based on powder dust particle basic optical property database and typical toxic gas basic optical characteristic Database obtains the concentration level c of toxic gas in atmospheric environment by infrared signal inversion processing module Inversion Calculation, according to Concentration level carries out response at different level, and signal processing results is pushed to response at different level information centre, while target is poisoned gas Body detection result is pushed to government safety fire department, enterprise security person in charge, enterprise security fire department, live inspection people Member.
It should be noted that those skilled in the art can also make such or such appearance under the introduction of this specification Easy variation pattern, such as equivalent way or obvious mode of texturing.Above-mentioned variation pattern should all protection scope of the present invention it It is interior.

Claims (10)

1. a kind of typical case's toxic gas infrared multi-channel detection early warning system comprising signal detection unit, signal processing platform, Powder dust particle basic optical property database, typical toxic gas basic optical property database and response unit, feature exist In:
The signal detection unit includes infrared acquisition light source, infrared signal receiver and photoelectric signal sensor, described infrared Signal in toxic gas is transmitted to the infrared signal receiver by probe source, and is transmitted by the infrared signal receiver To the photosignal transmitter, the photosignal transmitter will monitor gained signal and be transmitted to the signal processing platform;
The signal processing platform includes infrared signal inversion processing module and toxic gas detection result analysis module, described red External signal inversion processing module includes forward modeling simulation calculation submodule and Inversion Calculation submodule, the forward modeling simulation calculation submodule Block is used to poison the space distribution situation of atmosphere according to the dust-laden of hypothesis, in conjunction with the powder dust particle basic optical performance data Library, typical toxic gas basic optical property database, and using Mie scattering model, narrow band model and discrete ordinates method come It obtains forward modeling and emulates dusty atmosphere infra-red optical signals;The Inversion Calculation submodule is used for and the photosignal transmitter institute After obtaining signal contrast analysis, and objective function is solved using Stochastic particle swarm optimization, poisons gas in Lai Shixian dusty atmosphere environment The infrared optics of body levels of leakage is assessed;
The response unit is the related early warning carried out according to the toxic gas detection result analysis module acquired results.
2. a kind of infrared multi-channel detection early warning system of typical toxic gas according to claim 1, it is characterised in that: institute State objective function such as formula (1):
Wherein, τ andRespectively be measurement and simulation calculate obtain penetrate spectrum, N is the quantity of detecting band.
3. a kind of infrared multi-channel detection early warning system of typical toxic gas according to claim 1, it is characterised in that: institute It states infrared acquisition light source and the infrared transmission spectra of toxic gas is transmitted to the infrared signal receiver.
4. a kind of typical case's toxic gas infrared multi-channel detection method for early warning, which is characterized in that successively the following steps are included:
A establishes the step of basic optical database:
Including powder dust particle basic optical property database and typical toxic gas basic optical property database;
B constructs infrared signal inversion procedure program module, including following sub-step:
The infrared attenuating effect of powder dust particle combines powder dust particle basic optical property database in b1 toxic gas, using Mie Scattering theory calculates the optical diffusion characteristic of powder dust particle in toxic gas;
The space distribution situation of b2 typical case toxic gas basic optical property database combining target gas and normal atmospheric uses Narrow band computation model calculates the optical absorption for obtaining toxic gas;
B3 comprehensively considers the optical absorption of the optical diffusion characteristic of powder dust particle and toxic gas in toxic gas, using from It dissipates coordinate method and solves radiation transfer equation, to obtain dusty atmosphere infrared radiation spectrum forward modeling simulation result;
B4 obtains dusty atmosphere infrared radiation spectrum test result, and the dust-laden that above-mentioned steps are obtained using infrared detector Atmosphere infrared radiation spectrum forward modeling simulation result is compared processing with dusty atmosphere infrared radiation spectrum test result, propose with Lower objective function simultaneously solves:
Wherein, τ andRespectively be measurement and simulation calculate obtain penetrate spectrum, N is the quantity of detecting band;
C toxic gas monitors emergency response:
Above-mentioned solution calculates the leakage concentration level c for obtaining space exploration object gas, and carries out response at different level.
5. a kind of infrared multi-channel detection method for early warning of typical toxic gas according to claim 4, it is characterised in that: step In rapid a, sampling processing is carried out to powder dust particle present in detection environment and carries out FT-IR test, obtains the saturating of powder dust particle Spectrum is crossed, to obtain powder dust particle basic optical property database.
6. a kind of infrared multi-channel detection method for early warning of typical toxic gas according to claim 4, it is characterised in that: adopt Carry out Inversion Calculation with Stochastic particle swarm optimization and solves the objective function.
7. a kind of infrared multi-channel detection method for early warning of typical toxic gas according to claim 6, it is characterised in that: institute State Stochastic particle swarm optimization are as follows:
Step 1: the random site and speed to Particle Swarm are initially set;
Step 2: calculating the adaptive value of each particle;
Step 3: its adaptive value is compared by each particle with the adaptive value of the desired positions lived through, if compared with It is good, then as current desired positions;
Step 4: its adaptive value is compared by each particle with the adaptive value of global desired positions experienced, if compared with It is good, then as current global desired positions;
Step 5: the speed and position to particle are evolved;
Step 6: as not up to termination condition or reached a preset maximum number of iterations, then return step two.
8. a kind of infrared multi-channel detection method for early warning of typical toxic gas according to claim 4, it is characterised in that: institute It states response at different level and is divided into level-one early warning response, second level early warning response, three-level early warning response and level Four early warning response.
9. a kind of infrared multi-channel detection method for early warning of typical toxic gas according to claim 5, it is characterised in that: adopt Carry out Inversion Calculation with Stochastic particle swarm optimization to solve the objective function.
10. a kind of infrared multi-channel detection method for early warning of typical toxic gas according to claim 6, it is characterised in that: The response at different level is divided into level-one early warning response, second level early warning response, three-level early warning response and level Four early warning response.
CN201810120017.9A 2018-02-07 2018-02-07 A kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning Pending CN110118734A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810120017.9A CN110118734A (en) 2018-02-07 2018-02-07 A kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810120017.9A CN110118734A (en) 2018-02-07 2018-02-07 A kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning

Publications (1)

Publication Number Publication Date
CN110118734A true CN110118734A (en) 2019-08-13

Family

ID=67519497

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810120017.9A Pending CN110118734A (en) 2018-02-07 2018-02-07 A kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning

Country Status (1)

Country Link
CN (1) CN110118734A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110655958A (en) * 2019-08-28 2020-01-07 武汉理工大学 Three-dimensional intelligent monitoring explosion suppression system and method based on coal gasification furnace body structure
CN112345424A (en) * 2020-11-27 2021-02-09 太原理工大学 Method and device for detecting gas diffusion and concentration distribution by wavelength tuning single pixel
CN114414516A (en) * 2021-04-30 2022-04-29 中国人民解放军91977部队 Photoelectric environment grading method
CN117079442A (en) * 2023-10-18 2023-11-17 合肥航谱时代科技有限公司 Chemical industry park hazardous chemical gas leakage diffusion monitoring system based on data analysis
CN117405230A (en) * 2023-11-16 2024-01-16 上海光色智能科技有限公司 Imaging colorimeter and light measurement method

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110655958A (en) * 2019-08-28 2020-01-07 武汉理工大学 Three-dimensional intelligent monitoring explosion suppression system and method based on coal gasification furnace body structure
CN110655958B (en) * 2019-08-28 2020-11-17 武汉理工大学 Three-dimensional intelligent monitoring explosion suppression method based on coal gasification furnace body structure
CN112345424A (en) * 2020-11-27 2021-02-09 太原理工大学 Method and device for detecting gas diffusion and concentration distribution by wavelength tuning single pixel
CN114414516A (en) * 2021-04-30 2022-04-29 中国人民解放军91977部队 Photoelectric environment grading method
CN114414516B (en) * 2021-04-30 2024-03-15 中国人民解放军91977部队 Photoelectric environment grading method
CN117079442A (en) * 2023-10-18 2023-11-17 合肥航谱时代科技有限公司 Chemical industry park hazardous chemical gas leakage diffusion monitoring system based on data analysis
CN117079442B (en) * 2023-10-18 2024-01-02 合肥航谱时代科技有限公司 Chemical industry park hazardous chemical gas leakage diffusion monitoring system based on data analysis
CN117405230A (en) * 2023-11-16 2024-01-16 上海光色智能科技有限公司 Imaging colorimeter and light measurement method

Similar Documents

Publication Publication Date Title
CN110118734A (en) A kind of infrared multi-channel detection early warning system of typical case's toxic gas and method for early warning
Wang et al. A Sauter mean diameter sensor for fire smoke detection
Roberts et al. Electrochemical sensing of volcanic gases
Ding et al. Polarimetric remote sensing in oxygen A and B bands: sensitivity study and information content analysis for vertical profile of aerosols
CN108731817B (en) Different sensor infrared radiation normalization modeling method applied to forest fire hot spot discrimination
García et al. Aerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks
Deng et al. Eliminating the effects of refractive indices for both white smokes and black smokes in optical fire detector
Hagen Survey of autonomous gas leak detection and quantification with snapshot infrared spectral imaging
de Arruda Moreira et al. Analyzing the turbulent planetary boundary layer by remote sensing systems: The Doppler wind lidar, aerosol elastic lidar and microwave radiometer
Deng et al. An optical fire detector with enhanced response sensitivities for black smoke based on the polarized light scattering
Sengupta et al. Importance of accurate liquid water path for estimation of solar radiation in warm boundary layer clouds: An observational study
Sun et al. A satellite imagery smoke detection framework based on the Mahalanobis distance for early fire identification and positioning
Wang et al. Cross-physical field prediction method for smoke field distribution in commercial building fire based on distributed optical fiber sensor
Beil et al. Detection of chemical agents in the atmosphere by passive IR remote sensing
CN203299118U (en) Dust concentration measurement instrument based on light scattering method
Lisenko et al. Nephelometric method for measuring mass concentrations of urban aerosols and their respirable fractions
Reiche et al. Comparative study to evaluate three ground-based optical remote sensing techniques under field conditions by a gas tracer experiment
Deng et al. Wildfire smoke observations in the western United States from the airborne Wyoming Cloud Lidar during the BB-FLUX project. Part I: Data description and methodology
CN103630948B (en) Intelligent information fusion image-type fire detector and detection information fusion method
CN207610987U (en) Terahertz detection air high-risk chemical distribution apparatus
Doyle et al. Photon transport in three-dimensional structures treated by random walk techniques: Monte Carlo benchmark of ocean colour simulations
Amon et al. Evaluation of thermal imaging cameras used in fire fighting applications
Guerrero‐Rascado et al. Aerosol closure study by lidar, Sun photometry, and airborne optical counters during DAMOCLES field campaign at El Arenosillo sounding station, Spain
Goldmeer A rugged LED-based sensor for fire detection
Jin et al. A hybrid algorithm for dust aerosol detection: Integrating forward radiative transfer simulations and machine learning

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
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190813