基于大数据分析的变电站母线电压实时监测与趋势预警系统

Real-time monitoring and trend warning system of substation bus voltage based on big data analysis

基于模型驱动架构无法实时控制电压信号,导致系统监测效果较差,为了解决该问题,提出基于大数据分析的变电站母线电压实时监测与趋势预警系统。根据系统硬件结构,采用控制芯片STC12C5608AD作为数据采集终端芯片来简化电路;设计整合式智能柱式开关,控制电压信号传输。通过JBF6183型电压/电流信号传感器,在1~252地址范围内,将流动信号传送给消防设备的电源状态监控器。根据电压越限趋势预警系统,对电压异常情况实时预警。构建自回归模型,基于大数据分析异常数据,设计实时监测与预警流程,实现变电站母线电压的实时监控。由实验结果可知,该系统存储电压和耗散电压与实际电压变化情况一致,具有良好的监测效果。

In order to solve this problem,a real-time monitoring and trend warning system for substation bus voltage based on big data analysis is proposed.According to the hardware structure of the system,the control chip STC12 C5608 AD is used as the data acquisition terminal chip to simplify the circuit;the integrated intelligent column switch is designed to control the voltage signal transmission.Through JBF6183 voltage/current signal sensor,the flow signal is transmitted to the power status monitor of fire equipment in the address range of 1~252.According to the voltage out of limit trend early warning system,real-time early warning of abnormal voltage is realized.Build the autoregressive model,analyze the abnormal data based on big data,design the real-time monitoring and early warning process,and realize the real-time monitoring of substation bus voltage.The experimental results show that the storage voltage and dissipation voltage of the system are consistent with the actual voltage changes,and have good monitoring effect.