A real-time parallel data acquisition and big data processing method for four-in-one optical fiber sensor network

Abstract

We propose a real-time parallel data acquisition and big data processing method. This method can multiplex different types of fiber sensors and quickly complete the simultaneous sampling of thousands of sensors on hundreds of channels in four-parameter heterogeneous fiber sensor network, its sampling frequency is up to 6.4MHz, and the data throughput is up to 13.8MB/s. This method is three times faster than the usual method.