Smart Sensor Network for Air Quality Monitoring Applications

2006 ◽  
Author(s):  
O. Postolache ◽  
M. Pereira ◽  
P. Girao
Keyword(s):  
Air Quality ◽  
Sensor Network ◽  
Quality Monitoring ◽  
Smart Sensor ◽  
Air Quality Monitoring ◽  
Monitoring Applications

Performance Analysis of LoRaWAN in an Air Quality Monitoring Applications for Smart Cities

2021 ◽  
Author(s):  
Artur F. da S. Veloso ◽  
Jocines D. F. Silveira ◽  
Mario C. L. Moura ◽  
Jose V. dos Reis ◽  
Ricardo A. L. Rabelo ◽  
...  
Keyword(s):  
Air Quality ◽  
Performance Analysis ◽  
Smart Cities ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Monitoring Applications

Smart Sensor Systems for Spacecraft Fire Detection and Air Quality Monitoring

2011 ◽  
Author(s):  
Gary Hunter ◽  
Jennifer Xu ◽  
Azlin Biaggi-Labiosa ◽  
Benjamin Ward ◽  
Prabir Dutta ◽  
...  
Keyword(s):  
Air Quality ◽  
Fire Detection ◽  
Quality Monitoring ◽  
Smart Sensor ◽  
Sensor Systems ◽  
Air Quality Monitoring

scholarly journals Design of an ozone and nitrogen dioxide sensor unit and its long-term operation within a sensor network in the city of Zurich

2017 ◽  
Author(s):  
Michael Mueller ◽  
Jonas Meyer ◽  
Christoph Hueglin
Keyword(s):  
Air Quality ◽  
Sensor Network ◽  
Data Transfer ◽  
Low Cost ◽  
Effective Procedure ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Monitoring Networks ◽  
Term Operation ◽  
Diffusion Tubes

Abstract. This study focuses on the investigation and quantification of low-cost sensor performance in application fields such as the extension of traditional air quality monitoring networks or the replacement of diffusion tubes. For this, sensor units consisting of two boxes featuring NO2 and O3 low-cost sensors and wireless data transfer were engineered. The sensor units were initially operated at air quality monitoring sites for three months for performance analysis and initial calibration. Afterwards, they were relocated and operated within a sensor network consisting of six locations for more than one year. Our analyses show that the employed O3 and NO2 sensors can be accurate to 2–5 and 5–7 ppb, respectively, during the first three months of operation. This accuracy, however, could not be maintained during their operation within the sensor network related to changes in sensor behaviour. Hence, the low-cost sensors in our configuration do not reach the accuracy level of NO2 diffusion tubes. Tests in the laboratory revealed that changes in relative humidity can impact the signal of the employed NO2 sensors similarly as changes in ambient NO2 concentration. All the employed low-cost sensors need to be individually calibrated. Best performance of NO2 sensors is achieved when the calibration models include also time dependent parameters accounting for changes in sensor response over time. Accordingly, an effective procedure for continuous data control and correction is essential for obtaining meaningful data. It is demonstrated that linking the measurements from low-cost sensors to the high quality measurements from routine air quality monitoring stations is an effective procedure for both tasks provided that time periods can be identified when pollutant concentrations can be accurately predicted at sensor locations.

scholarly journals LoRa Sensor Network Development for Air Quality Monitoring or Detecting Gas Leakage Events

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6225
Author(s):  
Ernesto González ◽  
Juan Casanova-Chafer ◽  
Alfonso Romero ◽  
Xavier Vilanova ◽  
Jan Mitrovics ◽  
...  
Keyword(s):  
Air Quality ◽  
Sensor Network ◽  
Low Cost ◽  
Background Level ◽  
Early Warning Systems ◽  
Air Pollutant ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Gas Leakage ◽  
Events Detection

During the few last years, indoor and outdoor Air Quality Monitoring (AQM) has gained a lot of interest among the scientific community due to its direct relation with human health. The Internet of Things (IoT) and, especially, Wireless Sensor Networks (WSN) have given rise to the development of wireless AQM portable systems. This paper presents the development of a LoRa (short for long-range) based sensor network for AQM and gas leakage events detection. The combination of both a commercial gas sensor and a resistance measurement channel for graphene chemoresistive sensors allows both the calculation of an Air Quality Index based on the concentration of reducing species such as volatile organic compounds (VOCs) and CO, and it also makes possible the detection of NO2, which is an important air pollutant. The graphene sensor tested with the LoRa nodes developed allows the detection of NO2 pollution in just 5 min as well as enables monitoring sudden changes in the background level of this pollutant in the atmosphere. The capability of the system of detecting both reducing and oxidizing pollutant agents, alongside its low-cost, low-power, and real-time monitoring features, makes this a solution suitable to be used in wireless AQM and early warning systems.

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