高可靠光纤布拉格光栅传感器网络传输风险预测

High reliability fiber Bragg grating sensor network transmission risk prediction

高可靠性光纤布拉格光栅传感器网络传输存在风险性,为保证传输数据的安全性和有效性,对传感器网络传输风险进行预测是当下迫切需要解决的问题。传统的传感器网络传输风险性预测存在预测效率低、时延长、准确性差的缺点,为解决这一问题,提出高可靠光纤布拉格光栅传感器网络传输风险预测。通过构建风险数据采集模型、提取数据特征量、进行分布式信息重构等步骤实现风险预测方法设计。仿真实验表明,预测距离10~40 m时,该方法均处于90%以上的较高效率水平;开销196~461 Hz,小于传统方法;时延低于0.3 s,实时性优于传统方法;且相对误差不高于3%,具有更高精度。

The transmission of high-reliability fiber Bragg grating sensor network is risky.To ensure the security and effectiveness of the transmitted data,predicting the transmission risk of the sensor network is an urgent problem to be solved.The traditional sensor network transmission risk prediction has the disadvantages of low prediction efficiency,prolonged time and poor accuracy.To solve these problems,a high reliability fiber Bragg grating sensor network transmission risk prediction is proposed.The risk prediction method is designed by constructing risk data collection model,extracting data feature quantity,and performing distributed information reconstruction.The simulation results show that when the prediction distance is 10-40 m,the method is with more than 90%efficient;the cost is 196~461 Hz,which is less than that of traditional method;the delay is less than 0.3 s,the real-time performance is better than the traditional method;and the relative error is not more than 3%,which has higher precision.