VOC gas leak detection using pyro-electric infrared sensors
Date
2010Source Title
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
Print ISSN
1520-6149
Publisher
IEEE
Pages
1682 - 1685
Language
English
Type
Conference PaperItem Usage Stats
249
views
views
323
downloads
downloads
Abstract
In this paper, we propose a novel method for detecting and monitoring Volatile Organic Compounds (VOC) gas leaks by using a Pyro-electric (or Passive) Infrared (PIR) sensor whose spectral range intersects with the absorption bands of VOC gases. A continuous time analog signal is obtained from the PIR sensor. This signal is discretized and analyzed in real time. Feature parameters are extracted in wavelet domain and classified using a Markov Model (MM) based classifier. Experimental results are presented. ©2010 IEEE.
Keywords
Markov modelsPyro-electric infrared (PIR) sensor
Voc gas leak detection
Wavelet transform
Absorption band
Analog signals
Continuous time
Feature parameters
Gas leak detection
Gas leaks
Infra-red sensor
Markov model
Novel methods
Pyro-electric infrared (PIR) sensor
Real time
Spectral range
Voc gas leak detection
Wavelet domain
Gas absorption
Gases
Leak detection
Markov processes
Signal detection
Signal processing
Volatile organic compounds
Wavelet transforms
Sensors
Permalink
http://hdl.handle.net/11693/28532Published Version (Please cite this version)
http://dx.doi.org/10.1109/ICASSP.2010.5495500Collections
Related items
Showing items related by title, author, creator and subject.
-
Vibrasyon ve PIR algılayıcılar kullanılarak çevre destekli akıllı ev tasarımı
Yazar, Ahmet; Çetin, A. Enis (IEEE, 2013-04)Intelligent ambient assisted living systems for elderly and handicapped people become affordable with the recent advances in computer and sensor technologies. In this paper, fall detection algorithm using multiple passive ... -
Fall detection using single-tree complex wavelet transform
Yazar, A.; Keskin, F.; Töreyin, B. U.; Çetin, A. Enis (Elsevier, 2013)The goal of Ambient Assisted Living (AAL) research is to improve the quality of life of the elderly and handicapped people and help them maintain an independent lifestyle with the use of sensors, signal processing and ... -
PIR sensörleriyle alev tespiti
Töreyin, B. Uǧur; Soyer, E. Birey; Urfalıoǧlu, Onay; Çetin, A. Enis (IEEE, 2008-04)Bu bildiride, pasif kızılberisi sensor (PIR) tabanlı bir alev tespit sistemi sunulmaktadır. Önerilen yangın tespit sistemi oda içlerinde kullanılabilir. Kontrolsuz büyüyen yangın alevlerindeki kırpışma, oda içi gündelik ...