基于人工鱼群算法的光纤应变传感网络布置优化
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摘要
为了提高光纤传感网络测量精度,对传感器的节点布置进行优化研究。根据光纤应变传感器检测区域模型,确定优化问题的目标函数,使用全局人工鱼群算法建立布置优化模型。通过实验方法对布置优化结果进行分析。结果表明:优化后,传感器测量应变误差最大值为8. 72×10~(-6),最小值为2. 54×10~(-6),平均误差为6. 61×10~(-6)。相比优化前分别降低了68. 9%,82. 9%和70. 8%。优化后,使得测量的应变相比人工随机布置传感器测量值更接近真实值,具有较好的测量精度。
In order to improve the measurement precision of optical fiber sensing network,optimization layout of the sensor node is researched. According to detection area model for fiber-optic strain sensor,the objective function of the optimization problem is determined,and the layout optimization model is established by using global artificial fish swarm algorithm. The layout optimization results are analyzed by experimental method. The results show that after optimization,the maximum strain error measured by the sensor is 8. 72 × 10~(-6),and the minimum value is2. 54 × 10~(-6),with an average error of 6. 61 × 10~(-6). The reduction is 68. 9 %,82. 9 % and 70. 8 %,respectively,before the optimization. After optimization,the measured strain is closer to the real value than that of the artificial random arrangement sensor,and has a better measurement precision.
In order to improve the measurement precision of optical fiber sensing network,optimization layout of the sensor node is researched. According to detection area model for fiber-optic strain sensor,the objective function of the optimization problem is determined,and the layout optimization model is established by using global artificial fish swarm algorithm. The layout optimization results are analyzed by experimental method. The results show that after optimization,the maximum strain error measured by the sensor is 8. 72 × 10~(-6),and the minimum value is2. 54 × 10~(-6),with an average error of 6. 61 × 10~(-6). The reduction is 68. 9 %,82. 9 % and 70. 8 %,respectively,before the optimization. After optimization,the measured strain is closer to the real value than that of the artificial random arrangement sensor,and has a better measurement precision.
引文
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[6]洪蕾.粒子群及人工鱼群算法优化研究[J].软件,2014,35(8):83-86.
[7]庞丹丹.新型光纤光栅传感技术研究[D].济南:山东大学,2014.
[8]李娜.光纤光栅传感技术及其在油气管道腐蚀监测的应用研究[D].株洲:湖南工业大学,2012.
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[13]王闯.人工鱼群算法的分析及改进[D].大连:大连海事大学,2008.