Difference between revisions of "So2007"
From ACES
(Import from BibTeX) |
m (Import from BibTeX) |
||
| Line 3: | Line 3: | ||
|abstract=We introduce a novel laser spectroscopic trace-gas sensor platform, LaserSPECks that integrates recently developed miniature quartz-enhanced photoacoustic spectroscopy (QE-PAS) gas sensing technology. This universal platform uses infrared laser spectroscopy detect and quantify numerous gas species at part-per-million to part-per-billion (ppm-ppb) concentrations [2]. Traditional gas sensing devices capable of the same sensitivity and specificity are several orders of magnitude larger in size, cost, and power consumption. Thus, high resolution gas sensing technology has been difficult to integrate into small, low-power, replicated sensors suitable for wireless sensor networks (WSNs). This paper presents the principles behind laser based trace gas detection, design issues, and outlines the implementation of a miniaturized trace-gas sensor from commerical-off-the-shelf (COTS) components. We report on an early prototype as a proof-of-concept for integration into WSN applications. We also describe a number of ongoing collaborations in utilizing the platform in air pollution and carbon ux quantification, industrial plant control, explosives detection, and medical diagnosis. Furthermore, we discuss experimental performance evaluations to examine general platform requirements for these types of sensors. The results of our evaluation illustrate that our prototype improves upon previous gas sensing technology by two orders of magnitude in measures of power consumption, size, and cost, without sacrificing sensor performance. Our design and experiments reveal that laser-based trace-gas sensors built from COTS can be successfully implemented and integrated within WSN nodes to enable a wide range of new and important sensing applications. | |abstract=We introduce a novel laser spectroscopic trace-gas sensor platform, LaserSPECks that integrates recently developed miniature quartz-enhanced photoacoustic spectroscopy (QE-PAS) gas sensing technology. This universal platform uses infrared laser spectroscopy detect and quantify numerous gas species at part-per-million to part-per-billion (ppm-ppb) concentrations [2]. Traditional gas sensing devices capable of the same sensitivity and specificity are several orders of magnitude larger in size, cost, and power consumption. Thus, high resolution gas sensing technology has been difficult to integrate into small, low-power, replicated sensors suitable for wireless sensor networks (WSNs). This paper presents the principles behind laser based trace gas detection, design issues, and outlines the implementation of a miniaturized trace-gas sensor from commerical-off-the-shelf (COTS) components. We report on an early prototype as a proof-of-concept for integration into WSN applications. We also describe a number of ongoing collaborations in utilizing the platform in air pollution and carbon ux quantification, industrial plant control, explosives detection, and medical diagnosis. Furthermore, we discuss experimental performance evaluations to examine general platform requirements for these types of sensors. The results of our evaluation illustrate that our prototype improves upon previous gas sensing technology by two orders of magnitude in measures of power consumption, size, and cost, without sacrificing sensor performance. Our design and experiments reveal that laser-based trace-gas sensors built from COTS can be successfully implemented and integrated within WSN nodes to enable a wide range of new and important sensing applications. | ||
|pages=226 - 235 | |pages=226 - 235 | ||
|month= | |||
|year=2007 | |||
|booktitle=Information Processing in Sensor Networks (IPSN) | |booktitle=Information Processing in Sensor Networks (IPSN) | ||
|title=LaserSPECks: Laser SPECtroscopic trace-gas sensor networks - sensor integration and applications | |title=LaserSPECks: Laser SPECtroscopic trace-gas sensor networks - sensor integration and applications | ||
|entry=inproceedings | |entry=inproceedings | ||
}} | }} | ||
Revision as of 03:33, 4 September 2021
| So2007 | |
|---|---|
| entry | inproceedings |
| address | |
| annote | |
| author | S. So and F. Koushanfar and A. Kosterev and F. Tittel |
| booktitle | Information Processing in Sensor Networks (IPSN) |
| chapter | |
| edition | |
| editor | |
| howpublished | |
| institution | |
| journal | |
| month | |
| note | |
| number | |
| organization | |
| pages | 226 - 235 |
| publisher | |
| school | |
| series | |
| title | LaserSPECks: Laser SPECtroscopic trace-gas sensor networks - sensor integration and applications |
| type | |
| volume | |
| year | 2007 |
| doi | |
| issn | |
| isbn | |
| url | |
Email:
farinaz@ucsd.edu
farinaz@ucsd.edu
Address:
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093