Low-cost energy-efficient air quality monitoring system using sensor network

2021 ◽  
Vol 13 (4) ◽  
pp. 204
Author(s):  
Mare Srbinovska ◽  
Aleksandra Krkoleva Mateska ◽  
Vesna Andova ◽  
Maja Celeska Krstevska ◽  
Tomislav Kartalov
Keyword(s):  
Air Quality ◽  
Sensor Network ◽  
Monitoring System ◽  
Energy Efficient ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring

Low-cost energy-efficient air quality monitoring system using sensor network

2021 ◽  
Vol 13 (4) ◽  
pp. 204
Author(s):  
Maja Celeska Krstevska ◽  
Mare Srbinovska ◽  
Tomislav Kartalov ◽  
Vesna Andova ◽  
Aleksandra Krkoleva Mateska
Keyword(s):  
Air Quality ◽  
Sensor Network ◽  
Monitoring System ◽  
Energy Efficient ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring

A Low-Cost IoT-Enabled Device for Real-Time Air Quality Monitoring System

2020 ◽  
pp. 77-88
Author(s):  
Sai Surya Kiran Pokala ◽  
V. Panchami ◽  
Kelavath Jaisingh ◽  
Sandeep Kumar Yedla
Keyword(s):  
Air Quality ◽  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Quality Monitoring ◽  
Air Quality Monitoring

Development of Design of a Low-Cost Air Quality Monitoring System in Binh Duong Province

2021 ◽  
pp. 597-607
Author(s):  
Thuyet That Vo Nguyen ◽  
Nguyen Duc Thinh ◽  
Hien Vo ◽  
Tran Quang Nhu ◽  
Nguyen Binh Minh
Keyword(s):  
Air Quality ◽  
Monitoring System ◽  
Low Cost ◽  
Quality Monitoring ◽  
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.

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