Rapid detection of target gases with an early prediction approach

Srinivasulu Kanaparthi, S. Singh
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Abstract

Certain gas sensing applications such as breath analyzers and food spoilage detection sensors require rapid step response to the target gases. However, the response time of semiconductor gas sensors is in a few to several minutes. In order to reduce the response time, we implemented an approach of early prediction in which the initial response data (first 30 seconds data) was compared with pre-defined output at different concentrations. Finally, the concentration corresponding to the pre-defined output which has less deviation with initial response data was determined as the concentration of the exposed gas. Though this method cannot predict the concentration of the target gas exactly, it can be used to identify the range of concentrations with much accuracy. By measuring the response of the sensor to exposure of combination of different gases, this technique can be utilized in identifying the multiple gases in the environment simultaneously with reasonable accuracy that is sufficient for many practical applications.
用早期预测方法快速检测目标气体
某些气体传感应用,如呼吸分析仪和食品变质检测传感器,需要对目标气体进行快速阶跃响应。然而,半导体气体传感器的响应时间在几到几分钟内。为了减少响应时间,我们实施了一种早期预测方法,将初始响应数据(前30秒数据)与不同浓度下的预定义输出进行比较。最后,确定与初始响应数据偏差较小的预定义输出值所对应的浓度为暴露气体浓度。该方法虽然不能准确预测目标气体的浓度,但可以较准确地确定目标气体的浓度范围。通过测量传感器对不同气体组合暴露的响应,该技术可用于同时识别环境中的多种气体,具有合理的精度,足以用于许多实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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