Case Study: Monitoring of AIR Quality in King Faisal University Using a Microcontroller and WSN

Al‐Haija, Qasem Abu; Al-Qadeeb, Hasan; Al-Lwaimi, Abdulmohsen

doi:10.1016/j.procs.2013.09.072

Cited by 35 publications

(17 citation statements)

References 2 publications

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“…The use of pervasive sensing devices and sensor networks to monitor both the indoor and outdoor environmental phenomena for different applications is currently an active research area. Various techniques and architectures exist that have been proposed, these vary from personal sensors such as wearable devices on individuals, fixed devices in the indoor environment to participatory sensing whereby sensors are attached to vehicles for monitoring environmental pollution and air quality using WSN [3,4,11,30].…”

Section: Related Workmentioning

confidence: 99%

An Ontology for Proactive Indoor Environmental Quality Monitoring and Control

Adeleke

Moodley

2015

Proceedings of the 2015 Annual Research Conference on South African Institute of Computer Scientists and Information Technologi

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Proactive monitoring and control of indoor air quality in homes where there are pregnant mothers and infants is essential for healthy development and well-being of children.This is especially true in low income households where cooking practices and exposure to harmful pollutants produced by nearby industries can negatively impact on a healthy home environment. Interdisciplinary expert knowledge is required to make sense of dynamic and complex environmental phenomena from multivariate low level sensor observations and high level human activities to detect health risks and enact decisions about control. We have developed an ontology for indoor environmental quality monitoring and control based on an ongoing real world case study in Durban, South Africa. We implemented an Indoor Air Quality Index and a thermal comfort index which can be automatically determined by reasoning on the ontology. We evaluated the ontology by populating it with test sensor data and showing how it can be queried to analyze health risk situations and determine control actions. Our evaluation shows that the ontology can be used for real world indoor monitoring and control applications in resource constrained settings.

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Section: Related Workmentioning

confidence: 99%

An Ontology for Proactive Indoor Environmental Quality Monitoring and Control

Adeleke

Moodley

2015

Proceedings of the 2015 Annual Research Conference on South African Institute of Computer Scientists and Information Technologi

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“…Actually, the availability of affordable sensors, processing units, radios, and Wi-Fi communication technologies integrated in a single board is leading to the use of wireless communications and computing for interacting with the physical world in applications such as air quality control [9]. Wireless indoor air quality monitoring in order to provide real-time information for assisted living is proposed in [7], a solution using various gas sensors in order to monitor methane, propane, and carbon dioxide and monoxide.…”

Section: Introductionmentioning

confidence: 99%

An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture

Marques

Pitarma

2016

IJERPH

133

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Abstract:The study of systems and architectures for ambient assisted living (AAL) is undoubtedly a topic of great relevance given the aging of the world population. The AAL technologies are designed to meet the needs of the aging population in order to maintain their independence as long as possible. As people typically spend more than 90% of their time in indoor environments, indoor air quality (iAQ) is perceived as an imperative variable to be controlled for the inhabitants' wellbeing and comfort. Advances in networking, sensors, and embedded devices have made it possible to monitor and provide assistance to people in their homes. The continuous technological advancements make it possible to build smart objects with great capabilities for sensing and connecting several possible advancements in ambient assisted living systems architectures. Indoor environments are characterized by several pollutant sources. Most of the monitoring frameworks instantly accessible are exceptionally costly and only permit the gathering of arbitrary examples. iAQ is an indoor air quality system based on an Internet of Things paradigm that incorporates in its construction Arduino, ESP8266, and XBee technologies for processing and data transmission and micro sensors for data acquisition. It also allows access to data collected through web access and through a mobile application in real time, and this data can be accessed by doctors in order to support medical diagnostics. Five smaller scale sensors of natural parameters (air temperature, moistness, carbon monoxide, carbon dioxide, and glow) were utilized. Different sensors can be included to check for particular contamination. The results reveal that the system can give a viable indoor air quality appraisal in order to anticipate technical interventions for improving indoor air quality. Indeed indoor air quality might be distinctively contrasted with what is normal for a quality living environment.

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“…This micro controller does not require any programming skill or any kind of electronics theory knowledge as it is easy to operate and we can carry it anywhere [10]. The microcontrollers are embedded in the household appliances, phones or any automobiles.…”

Section: Micro Controller (Arduino)mentioning

confidence: 99%

“…It is also used in fire and gas detection alarm, leaking of gases from industries, houses etc. The gas sensor has high sensitivity, fast response, wide range of detection and many other useful things which are required the detection of gas pollutants [10].…”

Section: Mq-2gas Sensorsmentioning

confidence: 99%

Design and development of air quality management devices with sensors and web of things

Singh¹,

Kumar²,

Singh³

et al. 2018

IJET

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With the rapid increase in urbanization, there is a huge and urgent need of controlling the air quality so that we can breathe freely. We need oxygen to live and sustain life and for that controlling the environment is must otherwise it would create a great damage. According to a survey, pollution is claiming one life every 23 seconds in India and the figure can go to an extent of 1 billion people dying due to air pollution by 2030. If there would be something free on earth then it would be just Carbon. The earliest step we can take towards this cause is the detection pollutants present in the atmosphere after which the action can be taken against these pollutants. The detection can be done by the use of various sensors like MQ-2, MQ-135, DHT-11, PM10/PM2.5, AQM65 etc. and then obtaining the real-time data to the local servers by the means of IoT. The pollutants can be easily monitored when connected through the internet and local servers. The sensors will work upon a micro-controller which is used to store the data and transmission of data to the servers. Afterwards, the data can be easily accessible on the application developed.

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Case Study: Monitoring of AIR Quality in King Faisal University Using a Microcontroller and WSN

Cited by 35 publications

References 2 publications

An Ontology for Proactive Indoor Environmental Quality Monitoring and Control

An Ontology for Proactive Indoor Environmental Quality Monitoring and Control

An Indoor Monitoring System for Ambient Assisted Living Based on Internet of Things Architecture

Design and development of air quality management devices with sensors and web of things

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