Design of Electrical Fault Diagnosis System for Photovoltaic Intelligent Power Station Based on NFC
荣锦1
扫码查看
点击上方二维码区域，可以放大扫码查看
作者信息
1. 三峡新能源(集团)股份有限公司江西分公司,江西南昌 330038
折叠
摘要
文章研究设计了一种基于近场通信(Near Field Communication,NFC)技术的光伏智能电站电气故障诊断系统,旨在解决现有光伏智能电站电气故障诊断精度不高、维修成本高的问题.系统引入了NFC通信模块、智能诊断算法模块以及远程监控与控制模块,实现了对电气设备的实时监测、远程诊断以及故障预测.实验结果表明,该系统显著提升了电气故障诊断的精度,并有效降低了维修成本,具有广泛的应用前景.
Abstract
This study designed an electrical fault diagnosis system for photovoltaic intelligent power station based on Near Field Communication(NFC)technology,aiming to address the issues of low diagnostic accuracy and high maintenance costs in existing photovoltaic smart stations.The system incorporates NFC communication modules,intelligent diagnostic algorithm modules,and remote monitoring and control modules,achieving real-time monitoring,remote diagnosis,and fault prediction of electrical equipment.Experimental results demonstrate that the system significantly enhances the accuracy of electrical fault diagnosis and effectively reduces maintenance costs,showing broad application prospects.
关键词
近场通信(NFC)技术/光伏智能电站/电气故障诊断
Key words
Near Field Communication(NFC)technology/photovoltaic intelligent power station/electrical fault diagnosis
维普
万方数据