SmartVent: A Context Aware IoT System to Measure Indoor Air Quality and Ventilation Rate

Lohani, Divya; Acharya, Debopam

doi:10.1109/mdm.2016.91

Cited by 49 publications

(28 citation statements)

References 12 publications

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“…In the future, the main objective will be to improve the system by adding a context-awareness approach to automate the HVAC (heating, ventilation, and air conditioning) equipment [72][73][74][75]. Improvements to the system hardware and software are planned to make it much more appropriate for specific purposes, such as hospitals, schools, and offices.…”

Section: Resultsmentioning

confidence: 99%

mHealth: Indoor Environmental Quality Measuring System for Enhanced Health and Well-Being Based on Internet of Things

Marques

Pitarma

2019

JSAN

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Mobile health research field aims to provide access to healthcare anytime and anywhere through mobile computing technologies while using a cost-effective approach. Mobile health is closely related to ambient assisted living as both research fields address independence in elderly adults. Aging has become a relevant challenge, as it is anticipated that 20% of world population will be aged 60 years and older in 2050. Most people spend more than 90% of their time indoors, therefore the indoor environmental quality has a relevant impact on occupant's health and well-being. We intended to provide real-time indoor quality monitoring for enhanced living environments and occupational health. This paper presents the AirPlus real-time indoor environmental quality monitoring system, which incorporates several advantages when compared to other systems, such as scalability, flexibility, modularity, easy installation, and configuration, as well as mobile computing software for data consulting and notifications. The results that were obtained are promising and present a significant contribution to the monitoring solutions available in the literature. AirPlus provides a rich dataset to plan interventions for enhanced indoor quality, but also to support clinical diagnostics and correlate occupant's health problems with their living environment conditions. Keywords: ambient assisted living; enhanced living environments; health monitoring; indoor air quality; indoor environmental quality; Internet of Things; mobile health; occupational health IntroductionMobile health (mHealth) is a multifaceted research field to deliver healthcare services anytime and anywhere through mobile computing technologies while using a cost-effective approach. The mHealth services and applications are enhanced personalized healthcare systems that improve the communication between patient and doctor [1]. The development of mobile computing solutions for health improvement and well-being has significantly increased in the recent past. There is relevant interest in the study and development of reliable solutions based on mobile computing for enhanced healthcare systems [2]. However, most people do not use mobile health applications, and the individuals that use them tend to stop using it in a short period of time. Therefore, the software developers need to study new pervasive and ubiquitous methods and architectures to better address the consumer needs in order to promote the adoption of these mobile applications for enhanced living environments [3]. The proliferation of computer processing power and the evolution of wireless communication technologies have promoted mHealth and lead to the development of solutions and technologies that substantially contribute to the evolution of clinical research and healthcare [4].It is anticipated that 20% of the world population will be aged 60 years and older in 2050 [5], which will cause a significant increase of health disorders, medical services costs, and caregivers demands. Furthermore, Ambient Assisted Living (AAL)...

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Section: Resultsmentioning

confidence: 99%

mHealth: Indoor Environmental Quality Measuring System for Enhanced Health and Well-Being Based on Internet of Things

Marques

Pitarma

2019

JSAN

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“…In reference [3] provides an integrated sensing node or WSN System for monitoring build upon a Raspberry Pi architecture that experimented at various places such as church, classrooms and bedrooms whereas reference [5] integrates the use of portable AQS and monitoring using smartphone on Arduino architecture which use AQS and a zone-based proximity detection method for collaborative sensing, which saves energy and enables data sharing among users but uses only C02 sensor similar to smartphone sensor designed in [7], whereas Air quality is defined by 7 factors which is being using by reference [1] in Arduino platform only using Wi-Fi communication and [11] uses IOT and wireless sensors.…”

Section: Related Workmentioning

confidence: 99%

“…Real time indoor sensors are being used in most of the references for indoor in some cases such as [4], [5], [8], and [12] whereas [6] designed for urban Air Quality monitoring. Most of them uses an Arduino and auto calibration sensors.…”

Section: Related Workmentioning

confidence: 99%

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Indoor Air Quality Management Using Raspberry Pi and Graphlab

Acharyya¹,

Hazra²,

Pal³

et al. 2017

IJRET

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“…Here the CO and CO 2 sensors are used to monitor their levels and ensure that they are in the base level. There are some related works on this topic [4][5] [6][7] [8], but this paper proposes the automation of the air quality monitor system through a Smart Phone using the Internet of things platform. With this system the indoor environment can be monitored and controlled remotely.…”

Section: Introductionmentioning

confidence: 99%

Automated Indoor Air Quality Monitor and Control

Mukesh¹,

Akula²

2017

IJCA

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This paper presents a system of Automated Indoor Air quality Monitor which can be controlled and monitored using a mobile phone basing the concept of Internet of Things. The system monitors the indoor environment periodically and can be controlled using a Smart Phone. The system here is on internet of things platform which gives remote access through a mobile phone. The proposed system monitors the CO and CO 2 levels in the room and notifies the user if the tolerable limit exceeds. The user can turn on the vent fan from the smart phone, when the tolerable limit exceeds. This system was implemented using raspberry pi, which uses a database to store the monitored values and a web server which can be accessed through the smart phone.

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SmartVent: A Context Aware IoT System to Measure Indoor Air Quality and Ventilation Rate

Cited by 49 publications

References 12 publications

mHealth: Indoor Environmental Quality Measuring System for Enhanced Health and Well-Being Based on Internet of Things

mHealth: Indoor Environmental Quality Measuring System for Enhanced Health and Well-Being Based on Internet of Things

Indoor Air Quality Management Using Raspberry Pi and Graphlab

Automated Indoor Air Quality Monitor and Control

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