多路数据融合在光伏电池组件监控系统中的应用研究

为了提高光伏电站的使用效率,根据光伏电站的特点,本文设计了一种基于无线传感器网络和多路数据融合技术的光伏电池组件监控系统。通过传感器节点采集单块电池组件的瞬间电压、电流和温度,并对这三类数据实现初级数据融合;然后将初级数据融合数据包通过由ZigBee协议实现的无线传感器网络传输到中心节点;中线节点对所有初级数据融合数据包实现二级数据融合并通过串口传输至服务器;服务器通过基于残差值的数据包解析算法分析各块电池组件的运行数据,以判断电池组件是否正常工作,为光伏电站的维护和管理提供有效的信息。

Research on Applying Multi-Sensor Data Fusion in Photovoltaic Array Monitoring System

According to the features of photovoltaic power station,we design a photovoltaic array monitoring system based on wireless sensor network and multi-sensor data fusion in order to improve the utilization efficiency of photovoltaic power station.Sensor nodes capture the instantaneous voltage,current and temperature of each photovoltaic array.Then the system is responsible for junior fusion of those data and transmitting junior data packets to the central node through wireless sensor network based on ZigBee.The central node is in charge of senior fusion of all junior data packets and transmitting senior data packets to the server through serial port.Through the data packet residual value parsing algorithm,the server analyzes each photovoltaic array state to determine whether photovoltaic array work correctly or not,providing the useful information for managing and maintaining photovoltaic power station.