Design of sensor node for air quality crowdsensing

Oletić, Dinko; Bilas, Vedran

doi:10.1109/sas.2015.7133628

Cited by 34 publications

(17 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Calibration: Accuracy of low-cost sensors can be improved through calibration, both in the laboratory before deployment, and also at regular intervals while in the field. Laboratory calibration has shown that low-cost air quality sensors have high potential [20], [21], but the process is costly and timeconsuming. Low-cost sensors also suffer from cross-sensitivity to other pollutants in-field, and changing environmental conditions such as strong winds, high temperature, and humidity.…”

Section: Discussionmentioning

confidence: 99%

MegaSense: Feasibility of Low-Cost Sensors for Pollution Hot-spot Detection

Lagerspetz

Tarkoma

Hussein

et al. 2019

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

View full text Add to dashboard Cite

Air pollution is a major problem in urban areas, where high population density is accompanied with excess anthropomorphic emissions impacting the environment and increasing health effects. Highly accurate air quality monitoring stations have been used to monitor the severity of the problem and warn citizens. However, air quality can vary sharply even within the same city block, and pollution exposure can vary even 30% between individuals living in the same residence. Therefore, a dense deployment of air quality sensors is needed to detect these variations, and protect citizens from overexposure. Low-cost air quality sensors make it possible to densely instrument a city and detect hot spots as they happen. However, thus far limited information exists on their accuracy and practicability. In this paper, we conduct a 44 day measurement campaign to assess performance of low-cost air quality monitors under different environmental conditions. As practical use case we consider pollution hot spot detection. Our results show that the mean error of low-cost sensors is small, but the variation in error is significantly larger than with reference sensors. We also show that the accuracy is sufficient for applications relying on variations in air quality index values, such as hotspot detection.

show abstract

Section: Discussionmentioning

confidence: 99%

MegaSense: Feasibility of Low-Cost Sensors for Pollution Hot-spot Detection

Lagerspetz

Tarkoma

Hussein

et al. 2019

2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

View full text Add to dashboard Cite

show abstract

“…Crowd sensing is one of the major methodology in the ambient air screening, a sensor node by using this technique is presented by Oletic et al in [9]. In this approach, the individuals are able to participate in the experiment by the infrastructure of a network of mobile sensors, to measure the factors.…”

Section: Related Workmentioning

confidence: 99%

A Ubiquitous and Configurable Wrist-Worn Sensor Node in Hazardous Gases Detection

Haghi¹,

Thurow²,

Stoll³

2018

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

The monitoring of environmental parameters is a critical topic in occupational medicine. With advances in technology, during the recent years, the wearable sensors are widely used to evaluate the ambient parameters. In this paper a compact, small, light-weighted, and configurable sensor node in three physical layers for prolonged chemical ambient monitoring is described. The device is designed and demonstrated by using MLMS (Multi-Layer Multi-Sensor) concept. The device application is not only limited to hazardous gas (CO & NO 2) monitoring but physical ambient elements (air pressure, air humidity and temperature) and motion tracking are tracked, too. The device consist of integrated (ambient physical and motion tracking) and add-on sensors (hazardous gases) and enables centralized data processing. The integrated sensors are distributed on the middle physical layer on both sides (host platform). The host platform also includes micro controller and antenna for data transmission to the smartphone. The gas sensor along with the gas sensor driver board form the gas sensor node which for easy gas exposure is located at the top of the device and stuck at the top of host platform. The gas sensor driver is designed universally to be compatible with 3-lead gas sensors with low power consumption. This layer is replaceable and can be substituted with one more target gas (e.g. NO 2 instead of CO). The sensor configuration and initialization is performed via sending commands from the smartphone to the device by the wearer. In addition, the device is equipped with the notification system (beeper and vibrating motor) for early user warning in an abnormal detected. The notification driver layer is located at the bottom of the proposed device. All physical layers are stuck on top of each other appropriately through a board to board connector. The collected data from integrated and add-on sensors are transmitted in various time interval to the smartphone for screening and logging. Filter design and calibration process are also briefly described in this work.

show abstract

“…Wireless sensor network (WSN) has been used along with Raspberry Pi, Arduino, and Zigbee to monitor the environment [13] using low cost sensors [14]. Two gas sensors, temperature, humidity, and atmospheric pressure sensors, were utilized in [15]. Smartphone with additional device was used to form crowd-sensing [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of portable air quality measurement system using raspberry pi for remote monitoring

Pu’ad

Gunawan

Kartiwi

et al. 2020

IJEECS

View full text Add to dashboard Cite

<span>United Nations’ Sustainable Development Goals focuses on good health and well-being for all. Air pollution becomes a huge threat to delivering on the vision of a better world and related at least to Goal 3, 7, 11, and 13. In Malaysia, air pollution index were monitored on 68 locations. The Department of Environment monitors air quality using costly continuous air quality monitoring stations (CAQMs) installed at fixed locations of highly populated and industrial areas. The objective of this paper is to develop a portable air quality measurement system which can measure particulate matters (PM) smaller than 10 and 2.5 microns, and four hazardous gasses, including carbon monoxide, sulphur dioxide, ground level ozone and nitrogen dioxide, as well as humidity and temperature. Six sensors were used and validated using several rigorous experiments. The functionality of the system was evaluated by measuring sub-API readings in areas with low and high traffic volumes. Experimental results showed that the proposed system was highly responsive and able to detect the types and concentrations of air pollutants instantly. Furthermore, equipped with the mobile internet, geo-tagged GPS location and web server on Raspberry Pi, the developed portable system could be accessed remotely.</span>

show abstract

Design of sensor node for air quality crowdsensing

Cited by 34 publications

References 8 publications

MegaSense: Feasibility of Low-Cost Sensors for Pollution Hot-spot Detection

MegaSense: Feasibility of Low-Cost Sensors for Pollution Hot-spot Detection

A Ubiquitous and Configurable Wrist-Worn Sensor Node in Hazardous Gases Detection

Performance evaluation of portable air quality measurement system using raspberry pi for remote monitoring

Contact Info

Product

Resources

About