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

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2009年 / 58卷 / 09期

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

页码：3253 / 3262

页数：10

共 20 条

[1]

[Anonymous], NEM CHEM SENS CAT

[2]

BARTOLOMEO J, 1995, HOME AUTOMATION BUIL, P51

[3]

European Environment Agency, 2001, AIR POLL

[4]

*FIG, GAS SENS CAT

[5]

Gast M. S., 2002, 802.11 Wireless Networks The Definitive Guide

[6] TRAINING FEEDFORWARD NETWORKS WITH THE MARQUARDT ALGORITHM [J].

HAGAN, MT ;

MENHAJ, MB .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1994, 5 (06) :989-993

[7]

*HUM INC, 1999, REL HUM SENS HS1100

[8]

*IEEE, 1998, 145121997 IEEE

[9]

*IPS, IPMU8930 DEV GUID

[10]

Lee SE, 1999, COLL SYMPOS SERIES, V2, P35

← 1 2 →