基于小波分析的电网输电设备故障智能监测系统设计

Design of intelligent monitoring system for power transmission equipment failure based on wavelet analysis

传统的电网输电设备故障智能监测系统中存在健全能能量高于故障能能量的情况,造成监测数据不完全,为解决该问题,设计基于小波分析电网输电设备故障智能监测系统。在硬件设计上,选择AT89C51型号的单片机作为核心处理器,设计引脚功能,保证数据传输,在原有的信号调整模块中,选择LM324作为运算放大器,控制故障信号的放大;在软件设计上,根据采集的电流和电压数据计算对应的有效值,将其作为输入、输出故障信号,选取Haar小波函数,提取故障信号特征向量,实现故障监测。结合硬件和软件设计完成整个系统设计。测试结果表明:与传统的故障监测系统相比,设计的基于小波分析电网输电设备故障智能监测系统中故障能能量高于健全能能量。

In the traditional intelligent monitoring system for faults in power grid transmission equipment,there is a situation where sound energy is higher than fault energy,resulting in incomplete monitoring data.To solve this question,an intelligent monitoring system for power transmission equipment faults based on wavelet analysis is designed.In the hardware design,the AT89C51 singlechip microcomputer is selected as the core processor,and the pin function is designed to ensure data transmission.In the original signal adjustment module,the LM324 is selected as the operational amplifier to control the amplification of the fault signal.Calculate the corresponding effective value of the collected current and voltage data,use it as an input,output the fault signal,select the Haar wavelet function,extract the feature vector of the fault signal,and implement fault monitoring.Combine hardware and software design to complete the entire system design.The test results show that compared with the traditional fault monitoring system,the designed fault-based intelligent monitoring system based on wavelet analysis of power transmission equipment faults has higher fault energy than sound energy.