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SUMMARY:New Frontiers in Sensing for Infrastructure Management - Sriram Na
 rasimhan\, UCLA
DTSTART:20220318T150000Z
DTEND:20220318T160000Z
UID:TALK171614@talks.cam.ac.uk
CONTACT:Mishael Nuh
DESCRIPTION:Engineers and policymakers charged with asset risk-reduction\,
  maintenance\, and replacement responsibilities need objective and actiona
 ble data to characterize their inventories and guide their decisions. Howe
 ver\, characterization and inspection of large inventories of our built en
 vironment such as utilities and major lifeline structures remain elusive p
 artly because of their remoteness\, spatial extent\, and hazardous environ
 ments. This challenge is exacerbated by prevailing cumbersome and manual d
 ata collection\, interrogation\, and intervention processes. Recent synerg
 istic developments in computer vision\, computing\, and control have led t
 o autonomous systems that have revolutionized many areas\, including auton
 omous driving and the internet of things (IoT). Such systems also hold tre
 mendous potential for asset inspections\, characterization\, and intervent
 ion by enabling rapid geospatial and acoustic data acquisition\, data proc
 essing\, and knowledge extraction on time\, without relying excessively on
  manual processes to do so.\n\nIn this talk\, the speaker will present sev
 eral examples of sensing systems and the theoretical underpinnings develop
 ed by his team to address the problem of asset characterization and inspec
 tions. These include terrestrial and aquatic robots which can perceive the
  environment to build 3D maps of assets\, e.g.\, nuclear and transportatio
 n. In addition to the hardware\, localization\, and mapping components\, t
 he speaker will also describe the probabilistic models and machine learnin
 g algorithms to extract actionable information from data using such platfo
 rms. Additionally\, the speaker will present other IoT systems developed b
 y his team\, e.g.\, an IoT system that can continuously monitor the state 
 of a water distribution network and a vibration-based condition monitoring
  system for low-speed rotating machinery. In these examples\, the speaker 
 will focus on practical challenges in developing sensing platforms while u
 nderscoring the specific infrastructure management- related problems that 
 data from such platforms help address.
LOCATION:CivEng Seminar Room (1-33) (Civil Engineering Building)
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