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为了提高耐高温传感网络检测精度并优化其性能,针对传统光纤布拉格光栅(FBG)传感网络结构测量精度低及可靠性差的缺点,设计了一种高精度高可靠传感网络结构;并基于多传感器数据融合原理,构建了改进的支持度矩阵数据融合模型对初始采样值进行融合处理。实验结果表明,290℃时,应用改进的支持度矩阵模型的传感系统测温估计值总绝对误差为0.220℃,且估计值波动幅度较小;20～290℃范围内,系统精度达到±0.2℃;当传感器发生故障时,构建的支持度矩阵模型稳健性好,传感网络测温可靠性高。本文的高温传感系统具有精度高、可靠性好和抗干扰能力强等特点,适用于实际工程的温度测量。
In order to improve the detection accuracy of high temperature sensing network and optimize its performance, aiming at the shortcoming of low accuracy and low reliability of traditional fiber Bragg grating (FBG) sensing network structure, a high precision and reliable sensor network structure is designed. Multi-sensor data fusion principle, an improved support matrix data fusion model is constructed to fuse the initial sample values. The experimental results show that the total absolute error of the temperature estimation of the sensing system using the improved support matrix model is 0.220 ℃ at 290 ℃, and the fluctuation range of the estimation is small. The system accuracy reaches ± 0.2 at 20 ~ 290 ℃ ℃. When the sensor fails, the robustness of the matrix model is good, and the temperature reliability of the sensor network is high. The high-temperature sensing system in this paper has the characteristics of high precision, good reliability and strong anti-interference ability and is suitable for the temperature measurement of the actual project.