光伏数据可视化系统设计与研究

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doi:10.3969/J.1SSN.1672-7274.2025.06.010

中图分类号:TM615;TP181;TP3 文献标志码:A 文章编码:1672-7274(2025)06-0029-03

Design and Research of Photovoltaic Data Visualization System

XU Xingming1,RAO Linwei², ZHOU Chenglong²,LANG Junkun1,YIN Jianzhi1 (1. China Power Construction (Wuding) New Energy Co., Ltd., Wuding 65160o, China; 2. China Power Construction Group New Energy Group Co.,Ltd. Yunnan Branch,Kunming 65o051,China)

Abstract: New energypower generation,especially photovoltaic power generation technology,has become more and more common in China's power system,and this mode hasbecomeakey component ofthe stable operation of the power grid and dispatching optimization.The purpose of this study is to construct a photovoltaic data visualization systemthat combines big data analysis and deep learning techniques,focusing on monitoringand analyzing the changes in power generation and consumption during the collection process of photovoltaic energy,as wellas fault diagnosis.The goal of designing this system is to improve the intelligence levelof photovoltaic equipment and provide necessary data support for equipment management, fault diagnosis,and performance optimization.

Keywords: photovoltaic power generation; visualization system; big data analysis; deep learning

0 引言

随着对可再生能源需求的日益增长,光伏技术因其清洁、可持续特性而备受关注,并迅速发展。(剩余3801字)

目录
monitor