Motion Sensing Wi-Fi Sensor Networks for Continuous 3D Modeling and Prediction of Facility Responses to Disturbances

Structural health monitoring (SHM) is essential but can be expensive to perform. In an embodiment, a method includes sensing vibrations at a plurality of locations of a structure by a plurality of time-synchronized sensors. The method further includes determining a first set of dependencies of all sensors of the time-synchronized sensors at a first sample time to any sensors of a second sample time, and determining a second set of dependencies of all sensors of the time-synchronized sensors at the second sample time to any sensors of a third sample time. The second sample time is later than the first sample time, and the third sample time is later than the second sample time. The method then determines whether the structure has changed if the first set of dependencies is different from the second set of dependencies. Therefore, automated SHM can ensure safety at a lower cost to building owners.

Researchers

Oral Buyukozturk / Neal Wadhwa / Hossein Mobahi / Zoran Dzunic / Justin Chen / James Long / Reza Mohammadi Ghazi Mahalleh / Sergio Kapusta / Dirk Smit / William Freeman / John Fisher III / Frederic Durand (he/him/his)

Departments: Department of Civil and Environmental Engineering, Lincoln Laboratory, Dept of Earth, Atmospheric, & Planetary Sciences, Dept of Electrical Engineering & Computer Science, Computer Science & Artificial Intelligence Lab
Technology Areas: Communication Systems: Wireless / Sensing & Imaging: Acoustics, Imaging
Impact Areas: Connected World

  • motion sensing wi-fi sensor networks for continuous 3d modeling and prediction of facility responses to disturbances
    United States of America | Granted | 10,997,329

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