基于大数据技术的电网自动化主站通信故障检测系统  

Communication Fault Detection System for Main Station of Power Grid Automation Based on Big Data Technology

作　　者：谢超 XIE Chao(Guowang Zhejiang Dayou Industry Co.,Ltd.,Hangzhou Technology Development Branch,Hangzhou 310000,China)

机构地区：[1]国网浙江大有实业有限公司杭州科技发展分公司,浙江杭州310000

出　　处：《通信电源技术》2024年第15期228-230,共3页Telecom Power Technology

摘　　要：在电网自动化领域,主站的通信系统是核心组件之一,负责传输控制命令和收集监测数据。随着大数据技术的发展,其在电网通信故障检测中的应用成为提高系统稳定性和效率的关键。大数据技术能够处理和分析大规模数据集,为识别模式和预测故障提供帮助,并实时监控电网状态。电网自动化主站的通信架构通常包括多层次的数据传输和处理机制,涉及广泛的网络设备和软件系统。文章详细探讨基于大数据技术的电网自动化主站通信故障检测系统的设计与实现,包括数据采集、故障预测、实时分析及系统评估的方法,并通过应用测试验证系统的有效性。In the field of power grid automation,the communication system of the master station is one of the core components,which is responsible for transmitting control commands and collecting monitoring data.With the development of big data technology,its application in power grid communication fault detection has become the key to improve system stability and efficiency.Big data technology can process and analyze large-scale data sets,help identify patterns and predict faults,and monitor power grid status in real time.The communication architecture of power grid automation master station usually includes multi-level data transmission and processing mechanisms,involving a wide range of network equipment and software systems.This paper discusses in detail the design and implementation of communication fault detection system for power grid automation master station based on big data technology,including the methods of data acquisition,fault prediction,real-time analysis and system evaluation,and verifies the effectiveness of the system through application tests.

关 键 词：大数据技术 电网自动化 主站通信故障检测 

分 类 号：TN929.11[电子电信—通信与信息系统] TP311.13[电子电信—信息与通信工程]