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Sensors and systems for air quality assessment monitoring and management: A review

机译:空气质量评估监测和管理传感器和系统:审查

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摘要

Air quality (AQ) is a global concern for human health management. Therefore, air quality monitoring (AQM) and its management is a must-needed activity for the current world environment. A systematic review of various sensors and systems for AQ management may strengthen our understanding of the monitoring and management of AQ. Thus, the current review presents details on sensors/systems available for AQ assessment, monitoring, and management. First, we had gone through the published literature based on special keywords including AQM, Particulate Matter (PM), Carbon Mono-oxide (CO), Sulfur di-Oxide (SO_2), and Nitrogen di-Oxide (NO_2) among others, and identified the current scenario of research in AQ management. We discussed various sensors/systems available for the AQ management based on self-conceptualised five major categories including, ground-based AQS (wet chemistry) systems, ground-based digital sensors systems, aerial sensors systems, satellite-based sensors systems, and integrated systems. The prospects in the field of AQ assessment and management (AQA&M) were then discussed in detail. We concluded that the AQA&M can be better achieved by coupling new technologies like ground-based smart sensors, satellite remote sensing sensors, Geospatial technologies, and computational technologies like machine learning, Artificial intelligence, and Internet of Things (IoT). The current work may lead to a junction of information for connecting these sensors/systems, which is expected to be beneficial in future AQ research and management.
机译:空气质量(AQ)是人类健康管理的全球担忧。因此,空气质量监测(AQM)及其管理是当前世界环境的必要活动。对AQ管理的各种传感器和系统的系统审查可能会加强我们对AQ的监测和管理的理解。因此,目前的审查提供了有关AQ评估,监测和管理的传感器/系统的详细信息。首先,我们通过包括AQM,颗粒物质(PM),碳单氧化物(CO),硫偶氮(SO_2)和氮二氧化物(NO_2)等特殊关键词来通过包括AQM,颗粒物质(PM),碳单氧化物(SO_2)(NO_2)的特殊关键词。确定了AQ管理中的目前的研究方案。我们讨论了基于自我概念化的五大类别的AQ管理可用的各种传感器/系统,包括地面的AQS(湿化学)系统,基于基于地基的数字传感器系统,空中传感器系统,基于卫星的传感器系统,并集成系统。然后详细讨论了AQ评估和管理领域的前景。我们得出结论,通过耦合基于地面的智能传感器,卫星遥感传感器,地理空间技术等新技术,可以更好地实现AQA&M,如机器学习,人工智能和事物互联网(物联网)。目前的工作可能导致连接这些传感器/系统的信息的结合,这预计将在未来的AQ研究和管理中受益。

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