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An electronic nose based on solid state sensor arrays for low-cost indoor air quality monitoring applications

机译:基于固态传感器阵列的电子鼻,用于低成本室内空气质量监测应用

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The occurrence of illnesses related with poor ventilation has driven an increasing attention towards indoor air quality monitoring. In buildings equipped with climate control systems, the diseases related to the air quality can be significantly reduced if smart intervening procedures, aiming to control the concentration of pollutants in the indoor air, can be implemented in the heating, ventilation air conditioning unit. When reliable information about both the indoor and outdoor air quality is made available, the climate control system can provide the most appropriate amount of ventilation, ensuring safe and comfortable living conditions. In this paper, a dedicated, miniaturized, low-cost electronic nose based on state-of-the-art metal oxide sensors and signal processing techniques was developed. The proposed device is targeted to the quantification of carbon monoxide and nitrogen dioxide in mixtures with relative humidity and volatile organic compounds by using an optimized gas sensor array and highly effective pattern recognition techniques. The electronic nose was tested in an environment reproducing real operating conditions. Exploiting the unique response patterns of the different sensors in the array and the capability of a simple fuzzy-logic system it was possible to identify and discriminate concentrations as low as 20 ppb for NO_2 and 5 ppm for CO in the test gas environment, allowing to reach the necessary sensitivity towards the target pollutants together with the selectivity towards the typical interfering gas species.
机译:与通风不良有关的疾病的发生已引起人们对室内空气质量监测的关注日益增加。在装有气候控制系统的建筑物中,如果可以在采暖,通风空调单元中实施旨在控制室内空气中污染物浓度的智能干预程序,则可以大大减少与空气质量有关的疾病。当获得有关室内和室外空气质量的可靠信息时,气候控制系统可以提供最适当的通风量,从而确保安全舒适的生活条件。本文基于最新的金属氧化物传感器和信号处理技术,开发了一种专用的,小型的,低成本的电子鼻。拟议的设备旨在通过使用优化的气体传感器阵列和高效的模式识别技术,对具有相对湿度和挥发性有机化合物的混合物中的一氧化碳和二氧化氮进行定量。在可再现真实操作条件的环境中对电子鼻进行了测试。利用阵列中不同传感器的独特响应模式以及简单的模糊逻辑系统的功能,可以识别和区分测试气体环境中NO_2的浓度低至20 ppb,CO的浓度低至5 ppm。达到对目标污染物的必要灵敏度以及对典型干扰气体物种的选择性。

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