A low-cost air quality monitoring system based on Internet of Things for smart homes

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Ambient Intelligence and Smart Environments Pub Date : 2022-08-11 DOI:10.3233/ais-210458
Mehmet Taştan
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引用次数: 4

Abstract

Global climate change and COVID-19 have changed our social and business life. People spend most of their daily lives indoors. Low-cost devices can monitor indoor air quality (IAQ) and reduce health problems caused by air pollutants. This study proposes a real-time and low-cost air quality monitoring system for smart homes based on Internet of Things (IoT). The developed IoT-based monitoring system is portable and provides users with real-time data transfer about IAQ. During the COVID-19 period, air quality data were collected from the kitchen, bedroom and balcony of their home, where a family of 5 spend most of their time. As a result of the analyzes, it has been determined that indoor particulate matter is mainly caused by outdoor infiltration and cooking emissions, and the CO2 value can rise well above the permissible health limits in case of insufficient ventilation due to night sleep activity. The obtained results show that the developed measuring devices may be suitable for measurement-based indoor air quality management. In addition, the proposed low-cost measurement system compared to existing systems; It has advantages such as modularity, scalability, low cost, portability, easy installation and open-source technologies.
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一种基于物联网的低成本智能家居空气质量监测系统
全球气候变化和COVID-19改变了我们的社会和商业生活。人们日常生活的大部分时间都在室内度过。低成本设备可以监测室内空气质量(IAQ),减少空气污染物引起的健康问题。本研究提出一种基于物联网(IoT)的智能家居空气质量实时、低成本监测系统。开发的基于物联网的监测系统具有便携性,可为用户提供实时的室内空气质量数据传输。在COVID-19期间,从他们家中的厨房、卧室和阳台收集空气质量数据,这些地方是一个五口之家大部分时间居住的地方。分析结果表明,室内颗粒物主要是由室外渗透和烹饪排放造成的,由于夜间睡眠活动导致通风不足,CO2值会远远超过允许的健康限值。研究结果表明,所研制的测量装置可适用于基于测量的室内空气质量管理。此外,与现有系统相比,所提出的测量系统成本低;它具有模块化、可扩展性、低成本、可移植性、易于安装和开源技术等优点。
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
期刊介绍: The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.
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