1 / 24

PermaSense Data Management

PermaSense Data Management. Jan Beutel, Mustafa Yuecel, Roman Lim, Tonio Gsell, ETH Zurich. What we have today: PermaSense Starting Points. Low-power Wireless Sensors. Static, low-rate sensing (2 min) Temperatures, crack meters, resistivity 3 years operation < 0.1 Mbyte/node/day.

isadora-carver
Download Presentation

PermaSense Data Management

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. PermaSense Data Management Jan Beutel, Mustafa Yuecel, Roman Lim, Tonio Gsell, ETH Zurich

  2. What we have today: PermaSense Starting Points

  3. Low-power Wireless Sensors • Static, low-rate sensing (2 min) • Temperatures, crack meters, resistivity • 3 years operation • < 0.1 Mbyte/node/day

  4. Base Station for Data Collection

  5. High Resolution Imaging – Mountainview Camera • Dual network (TinyNode, WLAN) • 12 Megapixel D-SLR imager • Calibrated optics • Remotely configurable • ~ 1 Gbyte/camera/day

  6. Long-haul Communication • 7.5 km from weather radar on Klein Matterhorn • Leased fiber/DSL from Zermatt Bergbahnen AG • Collaboration with APUNCH/CCES

  7. Data Backend Integration and Tools • Based on GSN (EPFL research project) • Collaboration with SwissEx/EPFL • Slowly gaining in-house knowledge • Limited visualization capabilities • Many different other components necessary for 24/7 operation and debugging

  8. The Big Picture – Network System Integration

  9. Data Management Tools and Dataflow

  10. Data Management – Online Semantic Data • Global Sensor Network (GSN) • Data streaming framework from EPFL • Organized in “virtual sensors”, i.e. data types/semantics • Hierarchies and concatenation of virtual sensors enable on-line processing • Translates data from machine representation to SI values • Adds metadata Web export Import from field GSN GSN Private Public Metadata ============== Position Sensor type …

  11. Multi-site, Multi-station Data Integration

  12. TinyOS Multiplexing Data Flow

  13. Example: Sensor Network and Backlog/CoreStation

  14. Example: Private GSN Data Intake

  15. Example: Public GSN Data Mapping and Conversion

  16. Sensor Type Mapping

  17. Sensor Node DAQ Routines

  18. Simple - One Sensor Type - One Usage - One Packet

  19. Harder - Two Packets, Multiple Sensor Types

  20. Complex - Multiple Configs, Reuse of MUX resource

  21. Position/Type Mapping: XYZ_nodepositions.xls

  22. Open Problems

  23. Open Problems - Random Order • Merging of multi-packet data (ADCMUX1/2) • Multi-sink deployments • Upstream/downstream data (protocol and control issue) • Multi-core station integration (proposal) • Visualization • Integration of further processing steps • Documentation • …

More Related