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提出了一种基于硬件差分压缩的数据传输方法,以实现大容量高速光纤Bragg光栅(FBG)解调系统中对大数据量的高效率传输。方法根据FBG峰值数据的特征进行差分处理减少数据量,并结合Lempel-Ziv-Welch(LZW)字典压缩算法消除数据冗余,最终实现大容量高速FBG解调数据的实时传输。数据处理与压缩算法在FPGA上进行硬件实现,数据吞吐率高。根据实验测试,在4kHz解调速率下,FBG静态信号数据压缩率达到16.56%,动态信号数据压缩率达到36.25%。测试结果表明,本文方法在航空发动机动态监测系统平台实验中压缩效果良好,能够有效解决在硬件资源受限下巨大数据量的传输问题。
A data transmission method based on hardware differential compression is proposed to realize high-efficiency transmission of large amount of data in a high-capacity high-speed fiber Bragg grating (FBG) demodulation system. The method reduces the amount of data according to the characteristics of the peak data of the FBG, and eliminates the data redundancy according to the Lempel-Ziv-Welch (LZW) dictionary compression algorithm. Finally, real-time transmission of large-capacity high-speed FBG demodulated data is achieved. Data processing and compression algorithms on the FPGA hardware implementation, high data throughput. According to the experimental tests, under 4kHz demodulation rate, the data compression rate of FBG static signal reaches 16.56% and the dynamic signal data compression rate reaches 36.25%. The test results show that the proposed method has good compression effect in the experiment of aeroengine dynamic monitoring system platform and can effectively solve the problem of huge data transmission under the limitation of hardware resources.