Databases Reference
In-Depth Information
FIGURE 9.7: Analysis of event data triggered by the sensor nodes and re-
ceived by the base station. (Muhamad Amin, A.H., Khan, A.I., and Raja
Mahmood, R.A. “A distributed event detection scheme for wireless sensor
networks,” In Proceedings of the 7th International Conference on Advances in
Mobile Computing and Multimedia (MoMM '09), pp. 295-299. ©2009 ACM,
Inc. Reprinted by permission. http://doi.acm.org/10.1145/1821748.1821804)
use of wireless sensor network (WSN) technology in SHM, which enables the
analysis and monitoring to be conducted in real time. The sensors are built-in
to monitor the state of the structures and provide instantaneous feedback.
In this section, we outline a full-scale SHM framework that adopts wire-
less sensors and grid integration. It allows for complete structural analysis,
design, and monitoring to be conducted within the design and monitoring
life cycle and in a single processing environment. This integrated grid-sensor
framework is a combination of WSNs for data recognition and a collection
of commodity-grid based processors for large-scale structural data analysis.
The proposed framework implements an in-network processing, or compressed
sensing, scheme known as Graph Neuron (GN), which enables real-time mon-
itoring in resource constrained sensor networks. With suitable extension, GN
can also be deployed in grid-enabled environments. This approach allows for
multi-level data analysis and monitoring to be conducted in the SHM frame-
work.
The SHM framework encompasses several processes that work in a cyclic
manner. In keeping with a holistic framework for the structural engineering
processes, the required processes will be conducted within a single life cycle.
The life cycle is characterized by three main processes: structural analysis,
structural design, and structural monitoring. These processes are inter-related,
as shown in Figure 9.8.
