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Estimation of odour intensity of indoor air pollutants from building materials with a multi-gas sensor system

机译：使用多气体传感器系统估算建筑材料中室内空气污染物的气味强度

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This study shows an approach to estimate odour intensity in an indoor environment with a multi-gas sensor system. The sensor system uses 38 non-specific gas sensors, each of which responds to a wide range of different volatile compounds. Due to the complexity of indoor air pollution, the study focuses on emissions of building products as one of the major contributors to indoor air quality. The system has been calibrated and tested, combining measurements from gas sensor systems and assessments of odour intensity by a human panel. To find a relation between the sensor signal and the odour intensity, a data processing model has been developed comprising a classification and a class-specific regression method. The model is able to map the odour intensity to the sensor signal pattern in order to predict the odour intensity caused by the investigated building products. Investigations with varying relative humidity have shown a significant influence by the humidity level, which will be considered for future measurements.
机译：这项研究显示了一种使用多气体传感器系统估算室内环境中气味强度的方法。该传感器系统使用38个非特定气体传感器，每个传感器对各种不同的挥发性化合物做出响应。由于室内空气污染的复杂性，该研究集中在建筑产品的排放作为导致室内空气质量的主要因素之一。该系统已经过校准和测试，结合了来自气体传感器系统的测量结果和人为小组对气味强度的评估。为了找到传感器信号和气味强度之间的关系，已经开发了包括分类和特定于类别的回归方法的数据处理模型。该模型能够将气味强度映射到传感器信号模式，以预测由所研究的建筑产品引起的气味强度。相对湿度变化的研究表明，湿度水平会产生重大影响，将在以后的测量中予以考虑。

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