Reasoning for sensor data interpretation: An application to air quality monitoring

2015 ◽  
Vol 7 (4) ◽  
pp. 579-597 ◽  
Author(s):  
Marjan Alirezaie ◽  
Amy Loutfi
Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 898 ◽  
Author(s):  
Michele Penza ◽  
Domenico Suriano ◽  
Valerio Pfister ◽  
Mario Prato ◽  
Gennaro Cassano

A sensors network based on 8 stationary nodes distributed in Bari (Southern Italy) hasbeen deployed for urban air quality monitoring during advection events of Saharan dust in theperiod 2015–2017. The low-cost sensor-systems have been installed in specific sites (buildings,offices, schools, streets, airport) to assess the PM10 concentration at high spatial and temporalresolution in order to supplement the expensive official air monitoring stations for citizen sciencepurposes. Continuous measurements were performed by a cost-effective optical particle counter(PM10), including temperature and relative humidity sensors. They are operated to assess theperformance during a long-term campaign (July 2015–December 2017) of 30 months for smart citiesapplications. The sensor data quality has been evaluated by comparison to the reference data of the9 Air Quality Monitoring Stations (AQMS), managed by local environmental agency (ARPA-Puglia)in the Bari city.


Atmosphere ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 445 ◽  
Author(s):  
Wesseling ◽  
Ruiter ◽  
Blokhuis ◽  
Drukker ◽  
Weijers ◽  
...  

The use of low-cost sensors for air quality measurements is expanding rapidly, with an associated rise in the number of citizens measuring air quality themselves. This has major implications for traditional air quality monitoring as performed by Environmental Protection Agencies. Here we reflect on the experiences of the Dutch Institute for Public Health and the Environment (RIVM) with the use of low-cost sensors, particularly NO2 and PM10/PM2.5-sensors, and related citizen science, over the last few years. Specifically, we discuss the Dutch Innovation Program for Environmental Monitoring, which comprises the development of a knowledge portal and sensor data portal, new calibration approaches for sensors, and modelling and assimilation techniques for incorporating these uncertain sensor data into air pollution models. Finally, we highlight some of the challenges that come with the use of low-cost sensors for air quality monitoring, and give some specific use-case examples. Our results show that low-cost sensors can be a valuable addition to traditional air quality monitoring, but so far, their use in official monitoring has been limited. More research is needed to establish robust calibration methods while ongoing work is also aimed at a better understanding of the public’s needs for air quality information to optimize the use of low-cost sensors.


2013 ◽  
Vol 838-841 ◽  
pp. 2058-2061
Author(s):  
Hong Bin Gao ◽  
Yan Zheng

With the increasing emphasis on national environmental issues, air quality has increasingly aroused peoples discuss. Therefore, it is significantly meaningful to devise a set of monitoring for regional air quality system. This paper introduces the design of a sensor network based on air quality monitoring system. It has achieved the purpose of air quality of real-time data collection with long-distance transmission, which has the characteristics of light weight, convenient, easy to layout. The system ether adopts CC2530 SCM and the relative sensor data acquisition, or utilizes ZigBee to realize the collection of air quality data consisting of a star network. The GPRS module provides the original data by UDP protocol.


2011 ◽  
Vol 6 (3) ◽  
pp. 63-72 ◽  
Author(s):  
Jarmila Rimbalová ◽  
Silvia Vilčeková ◽  
Adriana Eštoková

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