| Popis: |
With the rapid development of smart grid, wearable equipment for the electric field monitoring data have become diversified, has resulted in a set deployment in wearable device more sensors for detecting data, due to the diversity of data with the staff on the accuracy of the data requirements, it is necessary to efficient data acquisition of data fusion. However, the existing data fusion algorithm is complicated and universal, and there is no special data fusion algorithm for the power wearable device system. To this, this paper aimed at the characteristics of wearable devices system power site, as well as the characteristics of the various physiological sensor attendants, put forward a kind of power wearable system oriented multi-source data fusion and classification methods, it improves the convergence efficiency, thus improved the accuracy and efficiency in the electric field work. |
