面向钢结构探伤的置信加权时间同步算法研究

Confidence weighted time synchronization algorithm for steel structure damage detection

针对无线传感器网络(WSN)各节点之间时间同步误差引起的钢结构损伤检测不同步,且洪泛时间同步算法(FTSP)容错性差的问题,设计了一种时间同步精度高、容错能力强的无线传感器网络时间同步算法。在FTSP算法的基础上,对线性回归表内的同步偏差进行参数估计,利用置信区间剔除异常时间同步数据。建立时钟漂移率数据表,动态解算加权系数,实现时钟漂移率的加权平均,从而拟合有效数据,提高时间同步算法的稳定性和容错性。仿真与实验表明,改进的时间同步算法较FTSP算法具有更好的容错能力,实现了无线传感器网络的高精度时间同步,完全满足钢结构损伤检测的要求。

Aiming at the problems that the steel structure damage detection is not synchronized due to the time synchronization error between the nodes of the wireless sensor network(WSN)and poor fault tolerance of the flooding time synchronization algorithm(FTSP).An improved time synchronization algorithm for wireless sensor networks with high-precision time synchronization and strong fault-tolerance ability is researched.Based on FTSP,by means of the parameter estimation of the synchronization deviation in the linear regression table,the abnormal time synchronization data is eliminated by using the confidence interval.The clock drift rate data table is established.The weighting coefficients are dynamically calculated to obtain a weighted average of the clock drift rate,for fitting the valid synchronization data and improving the stability and fault tolerance of the time synchronization algorithm.The simulation and experiment results show that the improved time synchronization algorithm has better fault-tolerance ability and higher precision time synchronization than FTSP,which completely meets the requirements of steel structure damage detection.