The Research Of Odor Electronic Nose Information Processing Technology

Odor is the gas that all can damage the environment of human life and which smellunbearable and make people unpleasant. There are many kinds of odorous substances, it hasmore than4000kinds which can be felt by human sense of smell to date including dozens ofharm, such as thiols, nitrogen, hydrogen, dimethyl disulfide, trimethylamine, formaldehyde,styrene, butyric acid and phenols. These odor pollution comes mainly from the pollution whichcaused by the people’s production and life, Including livestock and poultry slaughter,petrochemical, bio-pharmaceuticals, fine chemicals, sewage pumping stations, sewage treatment,garbage transport and centralized treatment and landfill. Environmental issues has been growingconcern with the attention of the people for their own health. Odor pollution also increasinglyattracted people’s attention. The rapid increase of fog and haze in recent years, especially the cityof fog and haze across the country in2012increased and duration also extended so it bringsattention to the environmental air quality problems.Odor pollution control must have an accurate detection first, artificial method detectionodor is not only time consuming but also very inaccurate due to subjective factors, withmachines instead of people, it is particularly important to use the machine detects the odor.This paper describes the design of the odor electronic nose system, including the design ofthe hardware portion and software portion. The important described is characteristic valuecxtracting and the pattern recognition technique of data processing section, and applicated thePCA, ICA and Neural network technology identifying and detecting the standard gas.This paper had made a design from the hardware design of sensor selection andconditioning circuit design to the software part of the application LabVIEW programming datacollection. Meanwhile helped of matlab made PCA and ICA processing, and finally established a5-6-4BP neural network model, quantitative identificated single H2S, NH3, ethyl acetate andn-butanol experimental gas. Finally, the system displays the quantitative results, including gasconcentration, odor intensity, odor concentration.