A smart skin based on a small-scale distributed optical fiber sensing array
A technology of distributed optical fiber and sensing array, which is applied in the direction of using optical devices to transmit sensing components, convert sensor output, instruments, etc., to achieve the effect of overcoming limitations
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Embodiment 1
[0026] An intelligent skin based on a small-size distributed optical fiber sensing array proposed by the present invention includes an epidermal sensing array, an embedded optical fiber sensing array, a data acquisition system module, and a data processing pattern recognition module. The so-called small size is proposed for the current distributed optical fiber sensing mainly used for sensing along several kilometers or even tens of kilometers. It refers to any small range, which can be understood as the range of square centimeters or less.
[0027] like figure 1 As shown in the figure, the body of the smart skin is made of a flexible material. All-fiber interferometric sensors are embedded in the flexible material to form a distributed optical fiber sensing array. The surface of the flexible material is covered with exposed sensors, which are embedded in the epidermis by a V-shaped groove. The flexible material is initially in a liquid state, which can be poured as needed, po...
Embodiment 2
[0031] In order to help understand the present invention and at the same time visually demonstrate the effect of the present invention on intelligent recognition, the following description is based on an example. First, the data set is processed, and Matlab is used to process the data accordingly. The data processing process includes: data smoothing, data normalization, peak-to-peak extraction, calculation of median, variance, mean, calculation of short-term zero-crossing rate, and calculate the wavelet packet energy.
[0032] Among them, data smoothing: use the smooth function, including moving, lowess, loess, sgolay, rlowess, lowess and other methods can be used, including different degrees of smoothing coefficient optional, mainly to remove data burr interference; data normalization : Use the built-in normalize function to unify the data into a consistent range; peak-to-peak value extraction: Use the built-in findpeaks function to extract the valley value, then flip the dat...
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