基于多源信息融合的热缺陷监测系统研究

Research on monitoring system of thermal defects based on multi-source information fusion

为解决单纯使用红外热像仪对变电站死角巡检不到的难题,提出了一种利用红外热像仪配合可见光摄像机及无线测温传感网络实现对高压设备发热缺陷实时在线检测的新方法。热缺陷在线监测系统采用能量捕获技术获取太阳能,实现了传感器节点的自主供电。为减少计算量,运用分步式滤波融合算法,快速标定热故障点位置。监控程序采用基于TCP/IP协议的C/S(客户端/服务器)通信模型,通过应用面向连接的流式套接字实现可靠的数据传输,并运用OpenCV的视频采集与图像处理函数库,实现高压设备热缺陷远程实时在线分析。

To solve the problem that merely using infrared thermal imager cannot inspect the blind area of the substations, a new method that uses infrared thermal imager together with CCD （Charge Coupled Device） camera and wireless sensor networks to implement the real-time and online detection of thermal defects for high-voltage equipment is proposed. The energy harvesting technique is employed to obtain solar energy, which achieves the independent power supply of sensor nodes. In order to reduce the amount of computation, the step by step filtering fusion algorithm based on asynchronous sampling data is used to rapidly calibrate the thermal faults location. The communication mode of the monitoring system adopts C/S （Client/Server） model based on TCP/IP protocols. The reliable data transmission is achieved by using connection-oriented stream sockets. The video capture and image processing function library of OpenCV are utilized to realize the real-time and online analysis of thermal defects for high-voltage equipment.