CHAPHER 7 CONCLUSIONS REMARKS
7.2 F UTURE S TUDY
Following the unfinished works and the drawbacks of the proposed approaches, some potential directions on the future research are brought out.
In the proposed system, the main sensor on the sensing node is an accelerometer.
However, the resolution of this accelerometer can works well on detection large vibration such as structural response excited by earthquake. For ambient vibration, new sensor board should be developed in the future work.
This study proposed a novel windmill-magnet integrated piezoelectric (WMIP) energy harvesting system. In the future work, the multiple energy harvesting methods such as solar, piezoelectric and wind should be integrated. The energy harvesting circuit needs to be included in the mote. Moreover, wireless power technology could be considered a feasible plan for WSN in SHM.
This works developed a structure of class libraries which is branch out into three basic class of NETMF, basic class library of Imote2, and SHM class. The SHM class, a specialized class, is developed by this study for SHM application. However, in this SHM class only FFT and FRF were included. In the future work, more embedded signal processing class like wavelet should be developed.
Substructure-based frequency response function approaches are proposed for use in global damage detection. However, these methods only focus on detecting and locating damage. Further study should be conducted in deciding the extent of damage in structure. EMI-based method was used to detect the local damage herein. In the future work, the EMI-based sensor node should be developed and the local damage index should be embedded in the node.
In experimental study, the developed integrated WSN-based SHM system was deployed in a steel structure and in a bridge. The experimental result indicates this system performs well either in Lab or in field test. In the future work, this system will be considered deploying in different civil structure. When deploying in a large scaled structure, the software and hardware of the system should be improved and modified.
An optimization approach can also be applied for deploying great amount sensor nodes in the future works.
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