Embedding IEEE 1451.4 smart sensing nodes in a wireless air quality monitoring network
被引:0
作者:
Ramos, Helena Geirinhas
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机构:
Inst Super Tecn, Inst Telecommun, P-1049001 Lisbon, PortugalInst Super Tecn, Inst Telecommun, P-1049001 Lisbon, Portugal
Ramos, Helena Geirinhas
[1
]
Postolache, Octavian
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机构:
Inst Telecommun, Lisbon, PortugalInst Super Tecn, Inst Telecommun, P-1049001 Lisbon, Portugal
Postolache, Octavian
[2
]
Pereira, Miguel
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机构:
Escola Super Technol, Setubal, PortugalInst Super Tecn, Inst Telecommun, P-1049001 Lisbon, Portugal
Pereira, Miguel
[3
]
Girao, Pedro Silva
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机构:
Inst Super Tecn, Inst Telecommun, P-1049001 Lisbon, PortugalInst Super Tecn, Inst Telecommun, P-1049001 Lisbon, Portugal
Girao, Pedro Silva
[1
]
机构:
[1] Inst Super Tecn, Inst Telecommun, P-1049001 Lisbon, Portugal
[2] Inst Telecommun, Lisbon, Portugal
[3] Escola Super Technol, Setubal, Portugal
来源:
IEEE MWSCAS'06: PROCEEDINGS OF THE 2006 49TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS,
|
2006年
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D O I:
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中图分类号:
TP301 [理论、方法];
学科分类号:
081202 ;
摘要:
An hybrid smart sensor network that includes a set of sensing nodes designed and implemented according with the specifications of the Smart Transducer Interface Standard, IEEE 1451, is presented. The communication between the nodes and the host computer that is used for advanced air quality data processing and data storage is performed through a wireless connection that was developed using a low cost, high performance radio device. Regarding the IEEE 1451 implementation the nodes put together a minimal DoW Network Capable Application Processor (NCAP) with a data acquisition unit that reads the analog signals from an IEEE 1451.4 Transducer Unit with air quality, temperature and relative humidity sensors using a Mixed-Mode Interface (MMI). The LabVIEW program implemented on the computer performs the automatic identification of the node analog sensors through TEDS reading, air quality data correction using the temperature and relative humidity information, data logging and pollution alarm generation. The use of Virtual TEDS solution for the sensing nodes is also considered.