Participatory Air Monitoring in the Midst of Uncertainty: Residents’ Experiences with the Speck Sensor

Matz, Jacob; Wylie, Sara; Kriesky, Jill

doi:10.17351/ests2017.127

Cited by 27 publications

(20 citation statements)

References 34 publications

(53 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Numerous IoT architectures for IAQ supervision which support open-source technologies for data processing, collection, and transmission that offers mobile computing architectures for real-time data accessibility are proposed in [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. Particularly, IAQ monitoring is a trending topic for which some other low-cost and open-source monitoring systems that had been developed [ 23 , 24 , 25 , 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings

Marques

Ferreira

Pitarma

2018

IJERPH

113

View full text Add to dashboard Cite

Occupational health can be strongly influenced by the indoor environment as people spend 90% of their time indoors. Although indoor air quality (IAQ) is not typically monitored, IAQ parameters could be in many instances very different from those defined as healthy values. Particulate matter (PM), a complex mixture of solid and liquid particles of organic and inorganic substances suspended in the air, is considered the pollutant that affects more people. The most health-damaging particles are the ≤PM10 (diameter of 10 microns or less), which can penetrate and lodge deep inside the lungs, contributing to the risk of developing cardiovascular and respiratory diseases, as well as of lung cancer. This paper presents an Internet of Things (IoT) system for real-time PM monitoring named iDust. This system is based on a WEMOS D1 mini microcontroller and a PMS5003 PM sensor that incorporates scattering principle to measure the value of particles suspended in the air (PM10, PM2.5, and PM1.0). Through a Web dashboard for data visualization and remote notifications, the building manager can plan interventions for enhanced IAQ and ambient assisted living (AAL). Compared to other solutions the iDust is based on open-source technologies, providing a total Wi-Fi system, with several advantages such as its modularity, scalability, low cost, and easy installation. The results obtained are very promising, representing a meaningful tool on the contribution to IAQ and occupational health.

show abstract

Section: Introductionmentioning

confidence: 99%

A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings

Marques

Ferreira

Pitarma

2018

IJERPH

113

View full text Add to dashboard Cite

show abstract

“…A growing body of work on public participation in science and the politics of measurement (Brown 1997; Frickel et al . 2010; Gabrys, Pritchard & Barratt 2016; Kimura 2016; Kinchy 2020; Kinchy, Parks & Jalbert 2016; Lave 2012; Li 2009; Matz, Wylie & Kriesky 2017; Ottinger 2010) shows that, just like analysis, measurement is not a neutral act. The practices through which data is collected are informed by the social and political context where the science is being carried out as well as by the assumptions and positionality of the scientists themselves.…”

Section: Measurement Datafication and Colonialismmentioning

confidence: 99%

Strategic translation: pollution, data, and Indigenous Traditional Knowledge

Blacker

2021

Royal Anthropological Inst

View full text Add to dashboard Cite

This essay examines the role of data practices in the making and refuting of settler colonial environmental science. Investigating the epistemic contestation surrounding environmental contamination produced by the oil industry in Alberta, Canada, I discuss an alternative approach to toxicology: a community‐based monitoring programme that uses a ‘three‐track’ methodology to present data in three distinct forms. Using this method, First Nations communities engaged in strategic translation, balancing their aim of rendering Traditional Knowledge and community needs legible to policy‐makers against their desire to protect Traditional Knowledge from being assimilated into the dominant data paradigm. This translation, I argue, enacts a form of resistance in an era of relentless datafication: making‐things‐into‐data can reflect the exercise of agency rather than submission to external pressure. In this way, the three‐track methodology models how marginalized communities can leverage data's productive capacities for their own ends and produce scientific knowledge on their own terms.

show abstract

“…Numerous IoT architectures have been developed for monitoring, using not only specific IAQ parameters such as particulate matter (PM) [37][38][39] and CO 2 [40], but also multi-gas sensors [41,42]. A context-aware mobile sensing system for indoor environment monitoring is proposed by [43].…”

Section: Related Workmentioning

confidence: 99%

Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

et al. 2019

View full text Add to dashboard Cite

This paper presents iAirBot, an assistive robot for indoor air quality monitoring based on Internet of Things. The system can communicate with occupants and triggers alerts automatically using social networks. The information can be accessed by the caregiver to plan interventions for enhanced living environments in a timely manner. The results are promising, as the proposed architecture presents a cost-effective assistive robot for indoor quality monitoring. It connects several technological fields and knowledge areas, such as ambient assisted living, Internet of Things, wireless sensor networks, social networks, and indoor air quality. When compared to other systems, iAirBot stands out for the modularity and scalability of its sensors network, as well as the use of social networks for information sharing. Therefore, iAirBot is a significant system for enhanced living environments, occupational health, and well-being.

show abstract

Participatory Air Monitoring in the Midst of Uncertainty: Residents’ Experiences with the Speck Sensor

Cited by 27 publications

References 34 publications

A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings

A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings

Strategic translation: pollution, data, and Indigenous Traditional Knowledge

Air Quality Monitoring Using Assistive Robots for Ambient Assisted Living and Enhanced Living Environments through Internet of Things

Contact Info

Product

Resources

About