Modular Analytical Multicomponent Analysis in Gas Sensor Aarrays

Sensors

Ali Chaiyboun³  R࿍iger Traute¹  Olaf Kiesewetter¹  Simon Ahlers²  Gerhard Müller² 

[1] UST Umweltsensortechnik GmbH, Dieselstraβe 2, 98716 Geschwenda, Germany;Corporate Research Center Germany, EADS Deutschland GmbH, 81663 München, Germany;Department of Solid State Electronics, Technical University of Ilmenau, POB 100565, 98684 Ilmenau, Germany

关键词: Main sensitivity;    cross sensitivity;    matrix method;    gas sensor array;    modelling;   

DOI  :  10.3390/s6040270

来源: mdpi

【 摘 要 】

A multi-sensor system is a chemical sensor system which quantitatively and qualitatively records gases with a combination of cross-sensitive gas sensor arrays and pattern recognition software. This paper addresses the issue of data analysis for identification of gases in a gas sensor array. We introduce a software tool for gas sensor array configuration and simulation. It concerns thereby about a modular software package for the acquisition of data of different sensors. A signal evaluation algorithm referred to as matrix method was used specifically for the software tool. This matrix method computes the gas concentrations from the signals of a sensor array. The software tool was used for the simulation of an array of five sensors to determine gas concentration of CH₄, NH₃, H₂, CO and C₂H₅OH. The results of the present simulated sensor array indicate that the software tool is capable of the following: (a) identify a gas independently of its concentration; (b) estimate the concentration of the gas, even if the system was not previously exposed to this concentration; (c) tell when a gas concentration exceeds a certain value. A gas sensor data base was build for the configuration of the software. With the data base one can create, generate and manage scenarios and source files for the simulation. With the gas sensor data base and the simulation software an on-line Web-based version was developed, with which the user can configure and simulate sensor arrays on-line.

【 授权许可】

Unknown   
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