针对大型碳纤维复合材料机翼盒段壁板结构,实现了基于无线传感网络的多点应变结构健康监测系统,采用自组织竞争神经网络成功判别了集中载荷模拟的损伤位置。本系统由传感采集子系统、无线传感网络子系统和终端监控子系统三部分组成。为了降低系统网络功耗及成本,提高系统的稳定性和可靠性,改善传感网络的实时性和同步性,设计了可直接配接无线传感网络节点的低功耗多通道应变传感器信号调理电路和基于无线传感网络的层次路由协议,开发了多通道应变数据采集、网络簇头转发和中继节点接收等主要软件模块。实验证明,相比于传统有线的监测方法和数据采集系统,基于无线传感网络的结构健康监测系统具有负重轻、成本低、易维护和搭建移动方便等优点。
Aimed at the large-scale structure and anisotropy nature of the carbon fiber composite material wing box, a large-scale structural health monitoring system based on wireless sensor networks is presented. A kind of artificial neural network is designed to distinguish the damage location simulated by the concentrated load. The system consists of the sensor data acquisition, the wireless sensor networks, and the terminal monitoring sub-systems. To improve the performance of the system, the signal conditioning circuit and the hierarchical routing protocol are designed based on wireless sensor networks, the programs of data acquisition and Sink node are exploited. Experimental result proves that the system has advantages of flexibility of deployment, low maintenance and deployment costs .