| 光谱学与光谱分析 |
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| In-Situ Monitoring Algorithm of Gases Poisonous Elements Concentration with Ultraviolet Optical Absorption Spectroscopy Based on Recursion Iterative Method |
| WANG Hui-feng1, JIANG Xu-qian2 |
1. School of Electronic & Control Engineering, Chang’an University，Xi’an 710064, China
2. School of Electronic Engineering & Photo-Electronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China |
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Abstract The key and challenge problem of in-situ monitoring poisonous elements of gases is how to separate the various gases absorption signal from mixed gases absorption spectroscopy and compute it’s accuracy concentration? Here we present a new algorithms in return recursion iteration based on Lambert-Beer principle. In the algorithms, recurred by the character of absorption peak of various gases in the band of 190～290 nm UV rays continuous spectroscopy and the character of twin element fold for absorbance are used. Firstly, the authors suppose that there is no absorption for others gases in the character absorption band for a certain gas, the authors can inference the initial concentration of the gas. Then the authors switch to another character spectroscopy, and put the photons that gases absorption out of the total number of absorbed photons that are measured. So we could get the initial concentration of another gas. By analogy the authros can get the initial concentration of all kinds of other poisonous elements. Then come back to the character spectroscopy of the first gas, the authors can get a new concentration of the first gas from the difference between the total number of absorbed photons and the photons that other gases absorption. By analogy the authors can get the iterative concentration of other gases, by irterating this process repeatly for some times until the measurement error of the adjacent gas concentration is smaller than a certain numerical value. Finally the authros can get the real and accurate concentration of all kinds of gases. Experiment shows that the authors can get the accurate concentration of all kinds of gases with the algorithm. The accuracy can be within 2%, and at the same time, it is easy enough to satisfy the necessity of real-time requirement. In addition it could be used to measure the concentration of many kinds of gas at a time. It is robust and suitable to be taken into practice.
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Received: 2011-04-29
Accepted: 2011-07-20
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Corresponding Authors:
WANG Hui-feng
E-mail: hfwang@chd.edu.cn;conquest8888@126.com
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