中文摘要：

首先介绍了光纤光栅（FBG）远程传感系统的组成及解调方法。针对FBG传感系统在远程设置零点时，数据处理速率波动引起的数据采集速率与数据处理速率不匹配问题，提出引入粒子群（PSO）算法实时在线优化光谱扫描速率，使动态传感系统持续处于系统可能达到的最高数据采集速率，降低传感系统测量精度。最后通过实验平台验证了该算法的有效性。

英文摘要：

Firstly, the structure and demodulation method of FBG remote sensing system are introduced .When the zero point is remotely set by the fiber grating sensing system, the data processing rate fluctuation will lead to the mismatch between data acquisition rate and data processing rate. To solve this problem, the particle swarm optimization （PSO） algorithm is introduced for optimizing real-time online spectra scan rate, which keeps the dynamic sensor system at the possible highest data acquisition rate continuously. The measurement accuracy of the sensor system will be reduced. Finally, the effectiveness of the algorithm is verified by the ex- perimental platform.