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SOSEWIN: Wireless Seismic Early Warning System

Improve early earthquake warning by identifying P-wave before S-wave, using a wireless network of low-cost seismometers on buildings for alerts and damage estimation. Overcome mobile network challenges with software. Utilize distributed algorithms and reaction scenarios for rapid response. Model communication with MSC, LSC, Petri Nets, and more. Ensure authority to trigger sirens, close valves, and coordinate emergency responses.

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SOSEWIN: Wireless Seismic Early Warning System

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  1. Graz, August 31, 2010 AIECS 2010 SOSEWIN A Wireless Self-Organizing Network for Seismic Early Warning and Rapid Response Wolfgang Reisig

  2. Istanbul: an area of earthquakes

  3. Early Warning ??? • An earthquake yields two types of waves: • The P-wave : quick (e.g. 5 km per second) and shallow • The S-wave : slow (e.g. 3 km per second) and powerful • 41 km off epicenter, the P-wave arrives 5.0 s before S-wave. Idea: identify the P-wave, close supplies for gas, electricity, etc before S-wave arrives.

  4. at present: few high sensitive seismometers in the outskirts not useable for early warning

  5. SOSEWIN idea • many low cost seismometers • on top of buildings, • bundled in a wireless network, • with two purposes: • Early Warning • Ad hoc local damage estimation

  6. The core problems • at the crucial moment … • the network is mobile • seismometers fail • links deteriorate • … or it has just been • a heavy truck, a mouse, wind … • idea: • cover all those effects • by software!

  7. SOSEWIN network • 20 low-cost seismometers 300 € / node • wireless • meshed, multi-hop • distance: up to 200m

  8. the Structure of SOSEWIN a P-wave approaching …

  9. the Structure of SOSEWIN half the members a P-wave approaching …

  10. the Structure of SOSEWIN half the groups: Alarm !!!!!! half the members a P-wave approaching …

  11. the Structure of SOSEWIN half the groups: Alarm !!!!!! half the members a P-wave approaching …

  12. how would you organize all this? you need distributed algorithms leader election echo algorithm

  13. how would you model all this? MSC /LSC Petri Nets ASM

  14. ad hoc reaction by predefined scenarios SOSEWIN authority sirens gas supply alarm start shutdown sound close valves completed authority gas supply fire dept. close valves valve x failed priority alert at x

  15. The end Graz, August 31, 2010 AIECS 2010 SOSEWIN A Wireless Self-Organizing Network for Seismic Early Warning and Rapid Response Wolfgang Reisig

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