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在光纤光栅传感器实际应用过程中,为了较好的发挥传感器的最佳性能,需要对传感网络布置进行优化研究。本文考虑到传感器布置角度对监测结果的影响,以光纤光栅传感器检测到所有信号源的概率均值最大为目标函数,使用遗传算法对传感器布置角度进行优化研究,将模拟退火算法与遗传算法进行混合,最后通过实例进行研究。结果表明,未进行优化前,光纤光栅传感器检测误差较大,均值为15.7%,最大达到了27.5%,使用本文研究的改进方法后,光纤光栅传感器检测误差较大,均值为4.4%,最大仅为8.6%。通过本文对光纤传感器布置的优化,使得测量的应变相比为经过优化时测量值更接近真实值,具有较好的测量精度。
In the actual application process of FBG sensor, in order to give full play to the best performance of the sensor, we need to optimize the sensor network layout. In this paper, the influence of sensor placement angle on monitoring results is considered. The maximum probability of all signal sources detected by fiber grating sensor is the objective function. The genetic algorithm is used to optimize the sensor placement angle. The simulated annealing algorithm and genetic algorithm are mixed, Finally, through the case study. The results show that, before optimization, FBG sensor has larger detection error with a mean of 15.7% and maximum of 27.5%. After using the improved method, the detection error of FBG sensor is larger with a mean of 4.4% and the maximum is only 8.6%. Through the optimization of optical fiber sensor layout, the measured strain is closer to the true value than the optimized one, which has better measurement accuracy.