Smart Sensors Network for Air Quality Monitoring Applications

被引:136
作者
Postolache, Octavian A. [1 ,2 ]
Dias Pereira, J. M. [1 ,2 ]
Silva Girao, P. M. B. [1 ]
机构
[1] Inst Telecomunicacoes, P-1049001 Lisbon, Portugal
[2] Escola Super Tecnol Setubal, Inst Politecn Setubal, P-2910761 Setubal, Portugal
关键词
Air quality (AirQ); embedded Web server; neural network; wireless networks; NEURAL-NETWORKS; SYSTEM;
D O I
10.1109/TIM.2009.2022372
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a network for indoor and outdoor air quality monitoring. Each node is installed in a different room and includes tin dioxide sensor arrays connected to an acquisition and control system. The nodes are hardwired or wirelessly connected to a central monitoring unit. To increase the gas concentration measurement accuracy and to prevent false alarms, two gas sensor influence quantities, i.e., temperature and humidity, are also measured. Advanced processing based on multiple-input single-output neural networks is implemented at the network sensing nodes to obtain temperature and humidity compensated gas concentration values. Anomalous operation of the network sensing nodes and power consumption are also discussed.
引用
收藏
页码:3253 / 3262
页数:10
相关论文
共 50 条
[41]   Smart PZT-Embedded Sensors for Impedance Monitoring in Prestressed Concrete Anchorage [J].
Pham, Quang-Quang ;
Dang, Ngoc-Loi ;
Kim, Jeong-Tae .
SENSORS, 2021, 21 (23)
[42]   Low voltage smart meter for monitoring of power quality disturbances applied in smart grid [J].
Rodrigues Junior, Wilson L. ;
Borges, Fabbio A. S. ;
Veloso, Artur F. da S. ;
Rabelo, Ricardo de A. L. ;
Rodrigues, Joel J. P. C. .
MEASUREMENT, 2019, 147
[43]   Recent Applications of Smart Technologies for Monitoring the Sustainability of Forest Operations [J].
Venanzi, Rachele ;
Latterini, Francesco ;
Civitarese, Vincenzo ;
Picchio, Rodolfo .
FORESTS, 2023, 14 (07)
[44]   IoT Enabled Smart Street Light and Air Quality Control [J].
Thomas, Aby K. ;
Shekhar, Himanshu ;
Bhagyalakshmi, L. ;
Suman, Sanjay Kumar ;
Sreelakshmy, R. ;
Bhasha, Amudala .
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, MACHINE LEARNING AND APPLICATIONS, VOL 1, ICDSMLA 2023, 2025, 1273 :843-853
[45]   A Machine Learning Model for Air Quality Prediction for Smart Cities [J].
Mahalingam, Usha ;
Elangovan, Kirthiga ;
Dobhal, Himanshu ;
Valliappa, Chocko ;
Shrestha, Sindhu ;
Kedam, Giriprasad .
2019 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET 2019): ADVANCING WIRELESS AND MOBILE COMMUNICATIONS TECHNOLOGIES FOR 2020 INFORMATION SOCIETY, 2019, :452-457
[46]   A Neural Network Approach for Safety Monitoring Applications [J].
Marinkovic, Zlatica ;
Atanaskovic, Aleksandar ;
Xibilia, Maria Gabriella ;
Pace, Calogero ;
Latino, Mariangela ;
Donato, Nicola .
2016 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS 2016) PROCEEDINGS, 2016, :297-301
[47]   Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide [J].
Spinelle, Laurent ;
Gerboles, Michel ;
Villani, Maria Gabriella ;
Aleixandre, Manuel ;
Bonavitacola, Fausto .
SENSORS AND ACTUATORS B-CHEMICAL, 2015, 215 :249-257
[48]   Smart Biomedical Sensor Network for Multipatient Cardiac Arrhythmia Monitoring [J].
Chandra, Soumyak ;
Gupta, Rajarshi .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72
[49]   A Low-Cost Smart Sensor Network for Catchment Monitoring [J].
Zhang, Dian ;
Heery, Brendan ;
O'Neil, Maria ;
Little, Suzanne ;
O'Connor, Noel E. ;
Regan, Fiona .
SENSORS, 2019, 19 (10)
[50]   A Wireless Sensor Network for Monitoring Smart Grid Transmission Lines [J].
Guo, Zheng ;
Ye, Feng ;
Guo, Jinghong ;
Liang, Yun ;
Xu, Guoliang ;
Zhang, Xuping ;
Qian, Yi .
2014 23RD INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND NETWORKS (ICCCN), 2014,