Research On The Design And Method Of Gas Multi-Spectral Imaging Detection System

The leakage of dangerous gas in chemical industrial park directly threatens human health and safety,in recent years,there have been numerous incidents of dangerous gas leakage,causing serious casualties and economic losses.Therefore,it is imperative to detect leakage of dangerous gas in chemical industrial parks in real time.The infrared imaging detection method based on target gas has the advantages of distant and dynamic intuition.It has been widely used and developed in recent years.The gas multi-spectral imaging equipment based on passive infrared imaging mechanism can realize the imaging detection of many dangerous gases.However,the sensitivity of the equipment has yet to be improved.On the one hand,the selection of key components of the equipment is limited.On the other hand,the real-time and effectiveness of the device image processing method is not good enough.In combination with the deficiency in the detection of multi-spectral imaging,and relying on the national key research and development plan project called"comprehensive monitoring and early warning technology and equipment research and development of chemical industry park"(project number:2016YFC080150).The research of this paper is to design a leakage gas detection system based on multi-spectral effect.Compared with the current type of detection system,its innovation lies in the use of non-refrigerated infrared thermal imaging movement,multiple long wave pass filter is used as optical signal channel,multi-spectral signal is quickly superimposed,extract the target gas clouds,the equipment is carried on UAV(unmanned aerial vehicle),the low-altitude long distance imaging detection of dangerous gas leakage is realized.This paper firstly studies the mechanism of gas infrared imaging,then describes the conditions of passive infrared imaging and spectral absorption characteristic of gas molecules,the influence of atmosphere on infrared wave transmission and the superiority of atmospheric window are analyzed subsequently.The influence factors of target gas imaging are analyzed from the micro.Based on the leakage of dangerous gas in chemical industrial park,this paper demonstrates the feasibility of multi-spectral imaging detection and lays the foundation for the design of the detection system.Then the gas infrared image processing method is studied and the image processing method of the detection system is designed.In this paper,the deficiency of bilateral filtering in random noise filtering is analyzed.A method based on wavelet transformation and bilateral filtering is proposed for image denoising;An image segmentation method based on gray-scale enhancement FCM(fuzzy C mean clustering)is proposed to extract the gas cloud cluster,this will improve the imaging effect and real-time performance of the detection system.Finally,according to the mechanism of gas infrared imaging,the key components of multi-spectral imaging module and UAV communication module are designed.The research design includes optical components,thermal imaging movement,system control platforms and wireless image transmission systems.The image processing algorithm is written to the system control platform.Through the system performance test,the gas multi-spectral imaging detection system designed in this paper can quickly image the low-concentration leakage ammonia,moreover,it has high sensitivity,which is of great significance to the comprehensive monitoring and warning of chemical industry park.