Journal
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Volume 58, Issue 9, Pages 3253-3262Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2009.2022372
Keywords
Air quality (AirQ); embedded Web server; neural network; wireless networks
Funding
- Programa Operacional para a Sociedade da Informacao [SFRH/BPD/11549/2002]
- Fundação para a Ciência e a Tecnologia [SFRH/BPD/11549/2002] Funding Source: FCT
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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.
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