非侵入式智能安全用电监测终端设计

Design of non-intrusive intelligent monitoring terminal for secure power usage

短路、漏电、电动自行车违规充电等易引发跳闸、火灾等安全事故,因此本文设计一种非侵入式智能安全用电监测终端。采用精密电阻分压和高精度零磁通电流传感器实现电压和电流模拟信号的测量,通过10kHz高频采样完整保留高次谐波特征。应用双核Cortex-A9高级精简指令集计算机(ARM)和Xilinx Artix7现场可编程门阵列(FPGA)作为信息处理单元,可同时处理6路高频采样信号。研究短路、漏电、电动自行车违规充电等异常用电特征,开发基于卷积神经网络模型的非侵入式异常用电识别软件。经测试,所设计的智能安全用电监测终端可准确识别上述典型异常用电事件。

A non-intrusive intelligent monitoring terminal for secure power usage is designed to address safety incidents such as short circuits,leakage,and electric bicycle charging that can easily trigger tripping and fire.Precision resistance voltage divider and high-precision zero flux current sensor are used to achieve voltage and current analog signal measurement,and high harmonic characteristics are fully preserved through 10kHz high-frequency sampling.Using dual core Cortex-A9 ARM and Xilinx Artix7 FPGA as information processing units,they can simultaneously process six channel high-frequency sampling signals.Abnormal power usage characteristics of short circuits,leakage and electric bicycle charging are studied.Non-intrusive abnormal electricity usage identification software is developed based on convolutional neural network model.Testing results show that the designed intelligent monitoring terminal can accurately identify the above typical abnormal power usage events.