Abstract
Here we demonstrate a triboelectric nanogenerator (TENG) based fully self-powered multi-parameter wireless sensing system. By integrating the TENG with multiple mutually coupled RLC resonators, the energy harvested by the TENG is directly converted into a decaying oscillating signal containing multiple frequency components with encoded sensing information. The oscillating signals can be transmitted and received by the near-field antennas using inductive coupling and the wireless sensing distance is up to 2 m. A theoretical analysis method based on characteristic parameters is proposed firstly, which is used to obtain the functional expressions between the attenuation coefficients α, eigen frequencies ω and characteristic parameters. Fast Fourier transform (FFT) spectral analysis is used to extract multi-parameters, shows that the theoretical analysis agrees very well with the experimental results. A self-powered wireless strain distribution sensing system based on LabVIEW was developed to demonstrate the feasibility of the proposed multi-parameter sensing technology, the results show that the system can monitor strains and its distribution along a cantilever-like structure precisely, demonstrating its great application potential.
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