Modeling and test of signal to noise ratio of leaking gas thermal imager

Xiuli Luo, Jing Tang, Lingxue Wang*, Yi Cai, Wei Xue, Xiaoshui Zhang, Shuqian Wang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

A SNR-C model to quantitatively predict the leak gas detection capability of thermal imager was proposed. Using this model, methane gas concentration of cooled thermal imager GasFindIRTM at SNR =1 was predicted, which was consistent with the measured results. The indoor testing setup was designed and built, SNR-C curves of uncooled thermal imager Photon320 to detect ethylene were tested at different temperatures of blackbody, namely 298, 303, 308, 313 and 318 K. Through analysis, measurement and prediction concentration at SNR ≈5 were relatively close in all of five blackbody temperatures, and respectively prediction concentration are 3146, 987, 570, 394 and 298 ppm. And this variation trend was consistent with the measured concentration. Therefore, the SNR-C model put forward in this article was able to predict the gas detection capability of thermal imager. While the testing setup can quantitatively measure the relationship between SNR and gas concentration, which can be applied to test the indoor performance of gas leak detection of thermal imager.

源语言英语
文章编号1204003
期刊Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
45
12
DOI
出版状态已出版 - 25 12月 2016

指纹

探究 'Modeling and test of signal to noise ratio of leaking gas thermal imager' 的科研主题。它们共同构成独一无二的指纹。

引用此