摘要
文章提出一种基于物联网和大数据技术的电能智能计量与监控系统。该系统通过边缘计算和智能传感器实时采集与处理数据,通过机器学习算法实现设备的智能监测与故障预警,并通过仿真平台和测试方案验证系统的可行性和有效性。测试结果表明,该系统在数据采集精度、智能计量准确性、状态监测可靠性等方面均达到了较高水平,可有效提升光伏电站的运行效率和智能化管理能力。
This article proposes an intelligent electricity metering and monitoring system based on the Internet of Things and big data technology.The system achieves real-time data collection and processing through edge computing and smart sensors,implements intelligent monitoring and fault warning of devices through machine learning algorithms,and verifies the feasibility and effectiveness of the system through simulation platforms and test scenarios.Test results show that the system has achieved high levels of data collection accuracy,intelligent metering accuracy,and reliable state monitoring,effectively improving the operational efficiency and intelligent management capability of photovoltaic power plants.
作者
邓少寅
曹宇超
DENG Shaoyin;CAO Yuchao(Taicang Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Suzhou 215400,China)
出处
《通信电源技术》
2024年第9期25-27,共3页
Telecom Power Technology
关键词
分布式光伏电站
电能计量
状态监测
distributed photovoltaic power station
electricity metering
status monitoring
作者简介
邓少寅(1994-),男,青海西宁人,硕士研究生,主要研究方向为分布式光伏营销计量;曹宇超(1997-),男,江苏常熟人,本科,助理工程师,主要研究方向为分布式光伏营销计量。
