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Structural health monitoring (SHM) involves the observation and analysis of a system over time using periodically sampled response measurements to monitor changes to the material and geometric properties of engineering structures such as bridges and buildings. In an operational environment, structures degrade with age and use.
The value of structural health information takes basis in the framework of the decision analysis and the value of information analysis as introduced by Raiffa and Schlaifer [1] and adapted to civil engineering by Benjamin and Cornell. [2] Decision theory itself is based upon the expected utility hypothesis by Von Neumann and Morgenstern. [3]
The Illinois Structural Health Monitoring Project was founded in 2002 when Professor Bill F. Spencer, director of the Smart Structures Technology Laboratory, and Professor Gul Agha, director of the Open Systems Laboratory, began a collaborative effort between the two laboratories at the University of Illinois at Urbana–Champaign.
Environmental Monitoring: IoUT enables the monitoring of marine ecosystems, including data collection on coral reef health, biodiversity, and water pollution. Oil and Gas Industry: IoUT devices are used to monitor offshore platforms and underwater pipelines to prevent leaks, structural damage, or accidents. Recent models have been developed to ...
This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. [ 1 ] [ 2 ] The IIoT is an evolution of a distributed control system (DCS) that allows for a higher degree of automation by using cloud computing to refine and optimize ...
It utilizes a novel “SmartSync” system featuring “Internet-of-Things” (IoT) concept with built in layers of intelligence for data management and analysis. [ 23 ] [ 24 ] [ 25 ] He has advanced models for damping in tall buildings and motion mitigation devices like tuned liquid dampers from design, prototype testing to post installation ...
Possible applications include body position measurement, location of persons, overall monitoring of ill patients in hospitals and at home. Devices embedded in the environment track the physical state of a person for continuous health diagnosis, using as input the data from a network of depth cameras, a sensing floor, or other similar devices ...
Decentralized Internet of things, or decentralized IoT, is a modified IoT which utilizes fog computing to handle and balance requests of connected IoT devices in order to reduce loading on the cloud servers and improve responsiveness for latency-sensitive IoT applications like vital signs monitoring of patients, vehicle-to-vehicle communication ...