基于物联网的配电网自动化监控系统设计与实现

Design and Realization of Distribution Network Automation Monitoring System Based on Internet of Things

本文采用感知层、传输层和应用层的分层架构,设计并实现了一种基于物联网(Internet of Things,Io T)的配电网自动化监控系统。该系统通过传感器节点采集数据,并结合无线传感网络和边缘计算进行数据处理,最终利用云端大数据和机器学习算法实现故障诊断与预测。测试结果表明,系统能在不同负载下稳定运行,显著提高了监控精度和故障响应速度。

In this paper,a distribution network automation monitoring system based on Internet of Things(IoT)is designed and implemented using a layered architecture of sensing layer,transmission layer and application layer.The system collects data through sensor nodes and combines wireless sensor networks and edge computing for data processing,and finally realizes fault diagnosis and prediction using cloud-based big data and machine learning algorithms.The test results show that the system can operate stably under different loads and significantly improve the monitoring accuracy and fault response speed.