Research On Physical Model Based Infrared Spectra Simulation Of Polluted Gas Cloud

In recent years,with the rapid development of national industrial production,the problem of environmental pollution caused by polluted gas emission and harmful gas diffusion caused by accidental explosion is increasingly becoming a threat to people's life and property safety.In order to effectively detect and monitor the polluted gas cloud and the harmful gas cloud,the Fourier transform polluted gas cloud's infrared remote sensing system is established and the polluted gas cloud is detected in a remote and non-contact way by using passive infrared remote sensing method.By analyzing the acquired infrared fingerprint spectra,the polluted gas cloud's specie is identified effectively and its gas concentration distribution is measured accurately.In the development process of the polluted gas cloud's infrared sensing system,how to identify the species of the polluted gases(to research the polluted cloud's gaseous identification algorithm)by using the acquired cloud's infrared spectra is a key technical problem.Currently,lots of measured cloud's infrared spectra are needed to support the research of polluted cloud's gaseous identification algorithm.However,limited by the high cost of manpower and material resources and high risk of some polluted gases in actual experiments,the number of measured polluted gas cloud's infrared spectral samples is less and the samples cover a narrow range of polluted gaseous species.Therefore,in order to supply for the lack of large amount of measured infrared spectra and infrared spectral data cubes needed by polluted cloud's gaseous identification algorithm,the way of using simulated polluted gas cloud's infrared spectral data to supply for the measured data has been a research hotspot.The polluted gas cloud's diffusion and its infrared spectral simulation based on physical model are studied,and the simulation model of cloud's infrared spectral data cubes is established on the basis of the research.The main research contents and innovations are as follows;1)Cloud's diffusion simulationAiming at the polluted gas cloud's diffusion problem caused by the industrial emission or accidental explosion,the basic physical movement rule of the cloud and its complex diffusion environment(e.g.complex weather and terrain obstacles)are considered,the polluted gas cloud's diffusion model based on physical diffusion model is established by using physical equations to describe cloud's diffusion,the physical mechanism of cloud's diffusion is studied,the influence of complex environment on the cloud's diffusion is analyzed,and the simulation of cloud's diffusion is done by using physical diffusion model.2)Cloud's infrared spectra simulation based on physical modelAiming at cloud's infrared spectra simulation,the transmission mechanism of cloud's infrared radiation in atmosphere is studied,the cloud's diffusion simulation results based on physical diffusion model are applied to the cloud's infrared radiation transmission process,the cloud's infrared spectral simulation model based on physical model is proposed for the first time,the high precision simulation of cloud's infrared spectra is realized.3)The accuracy research of cloud's infrared spectra simulation based on physical modelIn order to verify that the cloud's infrared spectral simulation model based on physical model further improves the accuracy of spectral simulation,the comparative study between the physical-model-based and the traditional Gaussian-model-based cloud's infrared spectral simulation is done respectively in there aspects:(1)the basic principle;(2)the results of cloud's diffusion simulation;(3)the results of cloud's infrared spectral simulation.Finally,the expected result is achieved.4)Cloud's infrared spectral data cube simulation based on physical modelAiming at the simulation of cloud's infrared spectral data cubes,the plane-array-detection characteristic of the Fourier transform infrared imaging spectrometer(hereinafter referred to as infrared imaging spectrometer)and the complexity of the actual cloud's diffusion are considered,the high-accuracy and gridding feature of the results of cloud's diffusion simulation based on physical diffusion model are combined,the method of simulating cloud's infrared radiation transmission using ray-tracing is presented,the simulation model of cloud's infrared spectral data cubes based on physical model is established for the first time,and the simulation of cloud's infrared spectral data cubes is realized.5)The validation of the cloud's infrared spectral data cubes simulation model based on physical modelIn order to verify the validity and correctness of the cloud's infrared spectral data cubes simulation model based on physical model,the comparison between simulated and measured data is studied,and the correctness of cloud's diffusion simulation is verified respectively in two aspects:(1)cloud's diffusion distribution;(2)the spectral identification imaging results of cloud's infrared spectral data cubes.In order to eliminate the influence of individual pixel's differences and reflect the overall similarity,a key-area-based error analysis model of cloud's infrared spectral data cubes simulation is proposed,the comparison between simulated and measured cloud's infrared spectral data is made,and the validity and correctness of cloud's infrared spectral data cubes simulation model are verified.By studying the research contents,two major achievements are made,which are:(1)the precision of the simulated polluted gas cloud's infrared spectra is improved by using physical diffusion model to replace traditional Gaussian diffusion model to simulate polluted gas cloud's diffusion.(2)A method of simulating polluted gas cloud's imaging spectrometer data is presented and a new method for the research area is carried out.The research work has important significance for the improving and perfection of spectral identification algorithms.