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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 is the expected utility gain of a built environment system by information provided by structural health monitoring (SHM). The quantification of the value of structural health information is based on decision analysis adapted to built environment engineering. The value of structural health information ...
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.
Due to their low cost, simple smart objects enable a wide range of uses formerly impossible due to cost considerations. These include areas such as home automation, building automation, factory monitoring, smart cities, structural health management systems, smart grid and energy management, and transport.
[8] [9] SIoT systems are used for environmental monitoring, oil & gas production control and optimisation and subsea asset integrity management. [10] [11] [12] Some features of IoT's share similar characteristics to cloud computing. [13] There is also a recent increase of interest looking at the integration of IoT and cloud computing. [14]
Intelligent transportation systems usually refer to the use of information and communication technologies (rather than innovations in the construction of the roadway) in the field of road transport, infrastructure, vehicles, and users, and in traffic management and mobility management, as well as for interfaces with other modes of transportation.
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 ...
The architecture of the Wikisensing system [48] describes the key components of such systems to include APIs and interfaces for online collaborators, a middleware containing the business logic needed for the sensor data management and processing and a storage model suitable for the efficient storage and retrieval of large volumes of data.