1 / 14

PermaSense Sensing in Disruptive Environments

PermaSense Sensing in Disruptive Environments. Jan Beutel. Our patient does not fit into a laboratory. So the laboratory has to go on the mountain. Competence in O utdoor Sensing. Wireless systems, low-latency data transmission Customized sensors Ruggedized equipment Data management

olina
Download Presentation

PermaSense Sensing in Disruptive Environments

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. PermaSenseSensing in Disruptive Environments Jan Beutel

  2. Our patient does not fit into a laboratory

  3. So the laboratory has to go on the mountain

  4. Competence in Outdoor Sensing • Wireless systems, low-latency data transmission • Customized sensors • Ruggedized equipment • Data management • Planning, installing, operating (years) large deployments

  5. Low-power Wireless Sensors Aim: Understand temperatures in heterogeneous rock and ice • Measurements at several depths • Two-minute interval, autonomous for several years • Survive, buffer and flush periods without connectivity A. Hasler

  6. Field Site Support • Base station • On-site data aggregation • Embedded Linux • Solar power system • Redundant connectivity • Local data buffer • Database synchronization • Cameras • PTZ webcam • High resolution imaging (D-SLR) • Weather station • Remote monitoring and control

  7. Log-haul WLAN Access & Monitoring • Dual WLAN & 3G access network • Redundant base stations (DH/GG/RD) • Distributed monitoring infrastructure

  8. Visualization with Google Earth

  9. In Real-Time: Combined Data Overlays

  10. 1. peak 3 4 1 2 4 5 3 4 5 2 1 2 5 1 Data Fusion and Interpretation V. Wirz, P. Limpach, J. Beutel, B. Buchli and S. Gruber: Temporal characteristics of different cryosphere-related slope movements in high mountains. Proc. 2nd World Landslide Forum, Springer, Berlin, October, 2011. 30.5.2011 31.3.2011 15.4.2011 1.5.2011 25.4.2011

  11. Next: high-resolution imaging Remote gigapixel panoramas as time-lapse movies 400’000-500’000 pixel (Nikon D300s @ 300mm)

  12. TechnischeInformatik und Kommunikationsnetze Computer Engineering and Networks AdM – A New Lab in Chamonix…

More Related