1 / 12

Wireless Sensing Applications for Critical Industrial Environments

Wireless Sensing Applications for Critical Industrial Environments. Fabien Chraim Prof. Kris Pister. Richmond Refinery Wireless Umbrella. Smart Fence – Proposed System Architecture. 50uA / 20mA 10uA / 1 mA 10uA / 2mA. Sequential Hypothesis Testing.

ismail
Download Presentation

Wireless Sensing Applications for Critical Industrial 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. Wireless Sensing Applications for Critical Industrial Environments Fabien ChraimProf. Kris Pister

  2. Richmond Refinery Wireless Umbrella

  3. Smart Fence – Proposed System Architecture 50uA / 20mA 10uA / 1 mA 10uA / 2mA

  4. Sequential Hypothesis Testing • Used in radar, clinical trials, channel selection… • Decision making as samples are collected • Two hypotheses • H0: no (or low) activity • H1: high activity H1 transmitted No transmission 0 660ms 0 660ms 0 210ms H0 transmitted [1] A.Wald and J.Wolfowitz, “Optimum character of the sequential probability ratio test,” Ann. Math. Statist., vol. 19, pp. 326339, 1948. [2] Fellouris, G.; Moustakides, G.V.; , “Decentralized Sequential Hypothesis Testing Using Asynchronous Communication,” Information Theory, IEEE Transactions on , vol.57, no.1, pp.534-548, Jan. 2011

  5. Sequential Hypothesis Testing – Example Outputs 0 8 seconds 0 1.6 seconds

  6. Smart Fence - Continuation • Solar energy scavenging • Enclosure redesign • Air quality monitoring (H2S)

  7. Valves

  8. Valve Position Monitoring • Why? • Detect abnormalities (alarms) • Better understanding of pressure gradients (plant-wide) • Goals • Instrument a variety of valves (ball, butterfly, gate, globe) • Report position wirelessly • Accuracy of +/- 5 degrees (or 5%) • No calibration / Easy installation • Lifetime of ~5 years • Cheap

  9. Valve Position Monitoring – Experimental Setup

  10. Valve Position Monitoring – Data (quadrature)

  11. Valve Position Monitoring – Data (rotary)

  12. Project Outlook • Large fence deployment (Intrusion + gas sensing) • On-site valve testing • Motor Vibration sensing (pumps, small electric motors…)

More Related