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An Intelligent IoT Fuzzy Based Approach for Automated Indoor Air Quality Monitoring

机译：基于智能IOT模糊的自动化室内空气质量监测方法

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Indoor air quality has a critical impact on human and animal health and well-being. Because of the confinement during the Covid-19 health crisis, millions of people were forced to stay at home. Therefore, living environments should incorporate an automated monitoring system to detect unfavorable air quality scenarios. Also, Internet of things (IoT) due to their ability to carry air low-cost sensing units have become a cheap alternative to monitor pollution values in a given area. However, enough still needs to be learned as these types of studies are expected to increase in the future years. In this paper, we have developed an intelligent IoT-fuzzy-based device based on low-cost sensors for indoor air quality monitoring (IoT-fuzzy-based AQM). It used a type-1 fuzzy inference system to improve the measurement accuracy of the low-cost sensors and to estimate the air quality index. Experiment tests are made in an indoor environment (home), where the obtained results have proved the effectiveness of the realized system.
机译：室内空气质量对人类和动物健康和福祉产生了关键影响。由于Covid-19健康危机期间的禁闭，数百万人被迫留在家里。因此，生活环境应包括自动化监控系统，以检测不利的空气质量方案。此外，由于其携带空气低成本传感单元的能力，事物互联网（IOT）已成为监测给定区域中的污染价值的便宜替代方案。然而，随着这些类型的研究预计未来几年增加，仍然需要了解足够的人。在本文中，我们开发了一种基于低成本传感器的智能IOT-Fuzzy的设备，可用于室内空气质量监测（基于IOT-Fuzzy的AQM）。它使用了1型模糊推理系统来提高低成本传感器的测量精度，并估计空气质量指标。实验测试是在室内环境（主页）中进行的，其中获得的结果证明了实现系统的有效性。

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