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Ultra low-power active wireless sensor for structural health monitoring
- Source :
- Smart Structures and Systems. 6:675-687
- Publication Year :
- 2010
- Publisher :
- Techno-Press, 2010.
-
Abstract
- Structural Health Monitoring (SHM) is the science and technology of monitoring and assessing the condition of aerospace, civil and mechanical infrastructures using a sensing system integrated into the structure. Impedance-based SHM measures impedance of a structure using a PZT (Lead Zirconate Titanate) patch. This paper presents a low-power wireless autonomous and active SHM node called Autonomous SHM Sensor 2 (ASN-2), which is based on the impedance method. In this study, we incorporated three methods to save power. First, entire data processing is performed on-board, which minimizes radio transmission time. Considering that the radio of a wireless sensor node consumes the highest power among all modules, reduction of the transmission time saves substantial power. Second, a rectangular pulse train is used to excite a PZT patch instead of a sinusoidal wave. This eliminates a digital-to-analog converter and reduces the memory space. Third, ASN-2 senses the phase of the response signal instead of the magnitude. Sensing the phase of the signal eliminates an analog-to-digital converter and Fast Fourier Transform operation, which not only saves power, but also enables us to use a low-end low-power processor. Our SHM sensor node ASN-2 is implemented using a TI MSP430 microcontroller evaluation board. A cluster of ASN-2 nodes forms a wireless network. Each node wakes up at a predetermined interval, such as once in four hours, performs an SHM operation, reports the result to the central node wirelessly, and returns to sleep. The power consumption of our ASN-2 is 0.15 mW during the inactive mode and 18 mW during the active mode. Each SHM operation takes about 13 seconds to consume 236 mJ. When our ASN-2 operates once in every four hours, it is estimated to run for about 2.5 years with two AAA-size batteries ignoring the internal battery leakage.
- Subjects :
- Engineering
business.industry
Wireless network
Electrical engineering
Computer Science Applications
Microcontroller
Sine wave
Control and Systems Engineering
Sensor node
Electronic engineering
Wireless
Structural health monitoring
Electrical and Electronic Engineering
Transmission time
business
Electrical impedance
Subjects
Details
- ISSN :
- 17381584
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Smart Structures and Systems
- Accession number :
- edsair.doi...........a7b7cea097d04984bc7bc86edcfb2a0b