使用物联网传感器和LPWAN的室内空气质量监视器

Jithina Jose, T. Sasipraba
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引用次数: 16

摘要

空气质量对健康和生活舒适度的影响是根深蒂固的。无论如何,室内空气质量参数对于创造一个有益而健全的室内环境至关重要,总的来说,空气质量参数与那些具有固体质量特征的参数完全不同。考虑到我们大约90%的时间是在室内度过的,我们必须逐步筛选室内空气质量,以区分空气性质的问题,并在建筑物内或通风框架内进行改造,以改善空气质量。在本文中,我们通过使用bosch的传感器BME680, SGP30和CCS811以及低功耗广域网(LPWAN)进行数据传输,在物联网的帮助下识别室内空气质量。这里我们正在分离二氧化碳当量,乙醇,总挥发性有机化合物等气体。为了传输这些物联网信息,我们需要高活力、高效的传感器集线器,这些传感器集线器可以在长时间的分离中横向传递。这推动了一些低功耗广域网(LPWAN)的进步,例如LoRa,以满足这些需求。报告显示了我们正在逐步接受的空气的破坏性。在这里,我们试图通过这篇论文给社会意识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indoor air quality monitors using IOT sensors and LPWAN
The effect of air quality on wellbeing and on life comfort is entrenched. Indoor air quality parameters are critical to make a gainful and sound indoor condition anyway by and large the air quality parameters are altogether different from those characterized as solid qualities. Taking into account that we spend about 90% of our lives inside, it is critical to screen the indoor air quality progressively to distinguish issues in the nature of air and plan intercessions in the building, or in the ventilation frameworks so as to enhance air quality. In this paper we are identifying the indoor air quality with the help of internet of things by using the sensors BME680 from bosch, SGP30 and CCS811 and low power wide area network (LPWAN) for the data transfer. Here we are separating the gases CO2 equivalent, Ethanol, TVoC and so on. For transmitting this IOT information, we require high vitality productive sensor hubs that can impart crosswise over long separation. This propels the improvement of some Low-Power Wide Area Networks (LPWAN) advances, for example, LoRa, to satisfy these requirements. The reports are exhibiting the destructiveness of air that we are taking in step by step. Here we are trying to give a social awareness by using this paper.
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