Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Design and Evaluation of Modular Gas and Wind Sensing Nodes for Static and Mobile Deployments
 
conference paper

Design and Evaluation of Modular Gas and Wind Sensing Nodes for Static and Mobile Deployments

Jin, Wanting  
•
Droz, Emmanuel  
•
Martinoli, Alcherio  
July 15, 2024
Proceedings of the 2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
2024 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

Static and mobile sensor nodes can be employed in gas monitoring tasks to detect gas leaks in an early stage and localize gas sources. Due to the intermittent nature of gas plumes and the slow dynamics of commonly used gas sensors, measuring gas concentrations accurately and timely poses significant challenges. These challenges are exacerbated when measurements are gathered while moving. Actively sniffing in the airflow, facilitated by actuators, holds the potential to improve the quality of measurements obtained by the sensor nodes. In this paper, we present the design of a small-scale, modular sensor node endowed with gas and wind sensing modalities. To assess the benefits of active sampling and the rationale behind this enhancement, comparisons among three different air sampling modes in both static and mobile settings are conducted. Our findings suggest that passive sampling can adequately capture the primary features of gas plumes given sufficient exposure and measuring time at each position. However, active sampling enhances the responsiveness of sensor nodes, enabling the detection of more detailed fluctuations in the gas concentration and thus alleviating spatial shifts in the sensor response induced by mobility effects.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

AIM_2024_camera_ready_version.pdf

Type

Postprint

Version

http://purl.org/coar/version/c_ab4af688f83e57aa

Access type

openaccess

License Condition

copyright

Size

5.55 MB

Format

Adobe PDF

Checksum (MD5)

e0f19f48affadf561e13942c0dfe9f4f

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés